유출지하수나 지료수를 열원으로 하는 지열히트펌프의 기초자료로 활용하기 위하여 Pond Loop형 열교환기를 설계, 제작하여 유동이 없는 수조 내에서 수조의 온도가 변화함에 따라 일정한 열교환기 입구온도를 유지하면서 열전달량을 측정하였다. 그 결과 수조를 Heat Source로 사용하는 경우 5,500${\sim}$4,500 kcal/h의 열량이 전달되었고, 수조를 Heat Sink로 사용할 경우 5,200${\sim}$3,500 kcal/h의 열량이 전달되었다. 또한 열교환기 관내 유속이 증가함에 따라 열전달량이 증가하는 경향성을 확인할 수 있었고, 이는 동시에 열교환기 입출구의 차압을 증가시킴을 알 수 있었다. 열교환기의 설계단계애서 사용하였던 열전달관계식으로 구한 총괄열전달계수, U와 실험값을 통해 유추한 U값을 비교 한 결과 실험에 의해 유추된 U값이 24${\sim}$27% 설계치 보다 크게 나타났다. 본 연구를 통하여 유출지하수 뿐만 아니라 하수 및 하천수를 이용한 지열히트펌프의 기초자료를 확보할 수 있었다.

This paper deals with a tracking problem for nonlinear systems using its T-S fuzzy model and internal model. We extend the internal model of linear systems to an internal model of T-S fuzzy systems to accompany with state error of zero. A sufficient condition of the existence of a tracking controller for T-S fuzzy systems is expressed by linear matrix inequalities. A system of inverted pendulum on cart is illustrated to verify our method.

FOUNDATION fieldbus provides scheduling and token-passing services for cyclic and sporadic data respectively. In this paper, we evaluate the delay performance of token-passing mechanism in FOUNDATION fieldbus network system using an experimental model. This paper introduces a method of developing an experimental model which consists of 10 nodes of FOUNDATION fieldbus communication device. Using the experimental model, we evaluate the delay performance of time-critical and time-available data with respect to change of TTRT parameter.

XCP (eXtensive Control Protocol) is an information oriented protocol which delivers information with high reliability according to the predefined rule. XCP network system can be implemented on top of several physical layer such as power line, IEEE 802.15.4 and so on. In this paper. a monitoring software that evaluates the reliability and performance of the XCP network is designed and implemented. This paper presents the structure and method of the packet monitoring in the network through several interfaces such as RS-232, ethernet.

BACnet(Building Automation and Control networks) is a standard data communication protocol designed specifically for building automation and control systems. BACnet provides five options for datalink layer protocols and these five datalink layer options can be applied with various transmission media. Recently wireless technology prevails in automation area. ZigBee is a standard protocol based on IEEE 802.15.4 for low-speed wireless communication network. In this study, we propose a BACnet/ZigBee model that uses ZigBee wireless technology in a BACnet communication network system as a wireless datalink layer protocol. We also applied this model to a lighting control system to evaluate the feasibility of proposed technology. The technology proposed in this paper can extend the application of BACnet not only for building automation but also for home automation by taking the advantages of ZigBee wireless communication technology in BACnet communication network systems.

The paper concerns the hybrid optimization of fuzzy inference systems that is based on Hierarchical Fair Competition-based Parallel Genetic Algorithms (HFCGA) and information data granulation. The granulation is realized with the aid of the Hard C-means clustering and HFCGA is a kind of multi-populations of Parallel Genetic Algorithms (PGA), and it is used for structure optimization and parameter identification of fuzzy model. It concerns the fuzzy model-related parameters such as the number of input variables to be used, a collection of specific subset of input variables, the number of membership functions, the order of polynomial, and the apexes of the membership function. In the hybrid optimization process, two general optimization mechanisms are explored. Thestructural optimization is realized via HFCGA and HCM method whereas in case of the parametric optimization we proceed with a standard least square method as well as HFCGA method as well. A comparative analysis demonstrates that the proposed algorithm is superior to the conventional methods.

We propose a new-focusing method for test handlers of compact camera module (CCM), The MMD (max-min difference) method is applied to calculate the focus value quickly considering the noisy output of CCM. Also, the fuzzy search method is applied to find the maximum focus value effectively. We design a fuzzy processor to control the lens position by focus values and brightness values, which improves the focusing performance in the sense of speed and processor memory. The proposed method is implemented by program and installed at the CCM test handler machines. The simulation results are presented to verify the usefulness of the proposed method.

The distributed control system is used in wide control fields. Factory automation, home network and building automation are good examples. Lonworks that Echelon company has been developing and providing since 1991 is one of popular distributed control systems. Lonwork system is support various communication media, especially it has a feature that supports communication through the power line. When Constructing Lonworks network in a construction field, the experts, who can treat Lonworks bring laptops that LNS and Lonmaker installed, install the network. However this way takes long time to construct the network and needs the experts. To resolve this problem, this paper suggests that a design of Lonworks network installation machine that is easy to use for everyone and portable. Non-experts can install Lonworks network by using this machine so they can reduce fare for installation of network and time to install.

디지털 경제로의 전환에 따른 디지털 부하의 출현과 고품질, 고신뢰도의 전력요구, 거대장치산업과 분산형 네트워크의 조화, 수요자의 역할 변화 등 전력산업의 패러다임이 변화되고 있다. 이러한 전력산업의 변화는 최종소비자의 디지털 부하에 기인하여, 기존의 단순 검침기능으로만 활용되던 전력량계가 소비자 서비스를 위한 게이트웨이로 변모되며, 소비자내 전력기기와 상호 연동되고, 분산된 신재생에너지와 연계된 배전망 및 자가 치유형 전력망으로의 변화를 가져올 것이다. 그러나 현재의 전력시스템은 과거 100여 년간 산업사회를 지향한 하부구조를 지니고 있어 디지털 사회의 요구에 부웅하기 위해서는 새로운 전력시스템이 요구되고 있다. 이를 위해 최신의 정보기술을 적용한 개방형 통합 전력시스템 구축에 대한 연구가 진행중이다. 본 논문은 개방형 통합 전력시스템의 기반이 되는 아키텍처 개발에 대한 연구동향과 아키텍처 개발 방법 및 네트워크 요구조건에 대하여 소개한다.

This paper considers a speed control problem of DC motor under load variations. In order to reduce the effect of load variation, a disturbance observer has been designed for the given system. With a cheap encoder there exists considerable measurement noise in the velocity feedback and it should be reflected in designing the disturbance observer. The authors have obtained the nominal transfer function of a DC motor and designed a disturbance observer for the control purpose. With the disturbance observer a digital controller has been implemented using a DSP(TMS320F2812). Some experiments show the enhanced performance of the control system with the proposed method.

Recently, network systems are widely used in several areas, and some considerable attentions have been directed to the Networked Control System(NCS). In NCS, network-induced delays are inevitable, and they sometimes degrade the performance of networked control systems to be a source of potential instability. In this paper, We proposes a compensation method for networked control system subject to network-induced delays by using a simple method, which is based on a sort of predictive strategy. To evaluate its feasibility and effectiveness, a real-time NCS for a rotary inverted pendulum is implemented via an Ethernet. Based on the experimental results. we show that the proposed simple method can be a practical and feasible solution to NCS design.

Quantum-dot Cellular Automata (QCA) is one of the most promising next generation nano-electronic devices which will inherit the throne of CMOS which is the domineering implementation technology of large scale low power digital systems. In late 1990s, the basic operations of the QCA cell were already demonstrated on a hardware implementation. Also, design tools and simulators were developed. Nevertheless, its design technology is not quite ready for ultra large scale designs. This paper proposes a new approach which enables the QCA designs to inherit the verification methodologies and tools of CMOS designs, as well. First, a set of disciplinary rules strictly restrict the cell arrangement not to deviate from the predefined structures but to guarantee the deterministic digital behaviors. After the gate and interconnect structures of the QCA design are identified, the signal integrity requirements including the input path balancing of majority gates, and the prevention of the noise amplification are checked. And then the digital logic is extracted and stored in the OpenAccess common engineering database which provides a connection to a large pool of CMOS design verification tools. Towards validating the proposed approach, we designed a 2-bit QCA adder. The digital logic is extracted, translated into the Verilog net list, and then simulated using a commercial software.

In this paper, the Ternary adder and multiplier are implemented by current-mode CMOS. First, we implement the ternary T-gate using current-mode CMOS which have an effective availability of integrated circuit design. Second, we implement the circuits to be realized 2-variable ternary addition table and multiplication table over finite fields GF(3) with the ternary T-gates. Finally, these operation circuits are simulated by Spice under $1.5{\mu}m$ CMOS standard technology, $1.5{\mu}m$ unit current, and 3.3V VDD voltage. The simulation results have shown the satisfying current characteristics. The ternary adder and multiplier implemented by current-mode CMOS are simple and regular for wire routing and possess the property of modularity with cell array.

Image resizing is to change an image size by upsampling or downsampling of a digital image. Most still images and video frames are given in a compressed domain on digital media. Image resizing of a compressed image can be performed in a spatial domain via decompression or recompression. In general, resizing of a compressed image in a compressed domain is much faster than that in a spatial domain. In this paper, we propose an approach to resize images in the integer discrete cosine transform (DCT) domain, which exploits the multiplication-convolution property of DCT.

In this paper, we propose a new method for detection of mass-type breast cancer in dense mammogram. As the proposed method analyzes texture of the breast tissue using method by fusing Homogeneity and Ranklets, improve problem of traditional method. Homogeneity gives the measure of uniform density, and Ranklets determine orientation selective property at vertical, horizontal and diagonal in mass region. The proposed method is suitable to dense mammogram with tangled normal tissue and cancer tissue. SVM(Support Vector Machine) classifier is used for effective detection of mass-type breast cancer in dense mammogram.

When distributed powers are interconnected to the grid, lack of source stability may cause some events that should be measured and stored as soon as they occur. This paper presents a real-time hardware system that has been developed for quick and reliable monitoring of the distributed powers quality. The system is composed of a digital signal processor (MPC7410, Motorola) and a 16 bits A/D board (VMIVME3122, GE). To guarantee the real time operation, it is based on a real time OS (VxWorks). Hardware tests of the embedded system have been made to check the performances of the proposed system. Test signals of several events are generated by using a LabView (hardware) system. The tests show that the system complies with the desired IEEE standard for power quality monitoring.

These days wireless sensor networks receive much attention from industry and researchers on various fields. The challenge is that wireless sensor networks have limited resources. Nevertheless, the route discovery in ZigBee sensor networks is performed by simple flooding when the original racket is rebroadcasted at least once by every node in a network. Such uncontrolled flooding generates an excessive number of packets competing for the media and causes a high collision rate. In this article, we propose a suitable packet Time-To-Live value to solve problems of uncontrolled flooding in ZigBee networks. It is shown that more sufficient route discovery in a ZigBee network can save network resources and lengthen the life of a sensor network.

ZigBee technology that is observed to radio network of low electric power with latest WPAN's IEEE 802.15 .4 technologies is evaluated as best technology for sensor network and digital home network construction. This need exclusive use application for monitoring, managing, controlling and organizing this nodes. However, these program has weaknesses that is hard to construct flexible system with Internet. This paper will use web server linked with gateway to manage sensor network that is consisted of ZigBee node and design system that manages ZigBee device with relative fast responsibility using AJAX web technology.

In this paper, a heterogeneous home network is designed and implemented based on the PLC (power line communications) and the IEEE 802.15.4. This paper presents the need of the heterogeneous home network and the convergence sub-layer. The convergence sub-layer is designed and implemented on the Xelline power line communication modem with IEEE 802.15.4 communication module.

The subway passengers are usually alert to the current location of the train in order not to miss the destination or transfer stations. The Global Positioning System (GPS), although expensive, can give an alarm if properly programmed, but cannot receive the satellite signals, underground. Therefore, a novel approach to context-aware location-based subway information system is motivated. The passengers, who are equipped with mobile devices such as laptop, PDA, and mobile phone as clients of the Personal Area Network (PAN), request the Bluetooth connection to the server which is installed in each car of the train. While the sorrel broadcasts the location-based information including the previous station, the current velocity of the train, the distance and time to the next station, the clients provide additional services based on the recognized context of the information, and what the passengers individually want. The services are spontaneous and autonomous rather than passive. The services include not only the information on the nearby stations, exit numbers, connection buses but also the location-based alarms which can be set specific to various personal requests, and sounded by the location of the train rather than time. Whereas the arrival time may not be accurate due to the delays of the train, the location can be accurately traced and broadcast by the server. Also, the clients do not need any expensive systems like GFS. Towards validating the proposed approach, we implemented a Bluetooth PAN including a PC server, two PDA clients and a laptop client. We modeled a train on the Incheon Subway Line #1 and a train on the Seoul-to-Incheon Line on the server, simulated the virtual trains together with the real clients. and verified that all the services were successfully provided.

An analog front-end circuit for 13.56MHz ISO/IECl4443 type B compatible RFID tags was designed. The designed circuit includes a rectifier and regulator to generate a stable DC voltage from the RF signal, an over-voltage limiter to protect the circuit from high voltages, an ASK demodulator to extract the data transferred from reader to tag, and a load modulator to transfer data from tag to reader. The functionality of the designed circuit has been verified through simulations using 0.25um CMOS process parameters.

This paper studies the step motors moved up-down and fore-back direction and deals with a position control and tracking the trajectory of the robot. For simulation and experiment, we demonstrate core part with usefulness and effectiveness.

In this paper, we propose the trajectory generation method for bipedal walking on the stairs. This method is based on multi-masses inverted pendulum mode (MMIPM). MMIPM can effectively reduce the ZMP error but it is only applied to walking on the flat ground. In order to reduce ZMP error when a robot walks on the stairs, we generate the walking motion by MMIPM and modify that motion using parametric functions. We determine the values of the parameters by the simulations. Simulation results show that the robot can walk more stable on the stairs.

This paper deals with implementation of middleware using CAN(Controller Area Network) network and TCP/IP for real-time distributed control system of a humanoid robot. Existent system using CAN network is available. But, there is problems in extensibility and flexibility. In this raper, the new system using TCP/IP for solution and improvement of problems is proposed. The new system is applied to ISHURO-II, real-humanoid robot. The performance is verified through experiment.

In general, camera calibration has to be gone ahead necessarily to estimate a position and an orientation of the object exactly using a camera. Autonomous land system in order to run a vehicle autonomously needs a camera calibration method appling a camera and various road environment. Camera calibration is to prescribe the confrontation relation between third dimension space and the image plane. It means to find camera calibration parameters. Camera calibration parameters using the paved road and the unpaved road are estimated. The proposed algorithm has been detected through the image processing after obtaining the paved road and the unpaved road. There is able to detect easily edges because the road lanes exist in the raved road. Image processing method is two. One is a method on the paved road. Image is segmentalized using open, dilation, and erosion. The other is a method on the unpaved road. Edges are detected using blur and sharpening. So it has been made use of Hough transformation in order to detect the correct straight line because it has less error than least-square method. In addition to, this thesis has been used vanishing point' principle. an algorithm suggests camera calibration method using Hough transformation and vanishing point. When the algorithm was applied, the result of focal length was about 10.7[mm] and RMS errors of rotation were 0.10913 and 0.11476 ranges. these have the stabilized ranges comparatively. This shows that this algorithm can be applied to camera calibration on the raved and unpaved road.

This paper proposes an intelligent decision framework for update of the environment model using GSPN(generalized stochastic petri nets). The GSPN has several advantages over direct use of the Markov Process. The modeling, analysis, and performance evaluation are conducted on the mathematical basis. By adopting the probabilistic approach, our decision framework helps the robot to decide the time to update the map. The robot navigates autonomously for a long time in dynamic environments. Experimental results show that the proposed scheme is useful for service robots which work semi-permanently and improves dependability of navigation in dynamic environments.

We propose a new method for shortest path planning of mobile robots. The topological information of the graph is obtained by thinning method to generate the collision-free path of robot. And the travelling path is determined through hierarchical planning stages. The first stage generates an initial path by use of Dijkstra's algorithm. The second stage then generates the final path by use of dynamic programming (DP). The DP adjusts the intial path to reduce the total travelling distance of robot. Simulation results are presented to verify the performance of the proposed method.

In mechanical system, gear trains have backlash innately. With the presence of inherent backlash, the overall system performance is limited in many practical control systems. It has been reported that a disturbance observer has the property of effective removing disturbance and cutting measurement noise off. The plant is remodeled with modified disturbance observer to observe and compensate backlash characteristics. And this paper describes a method to design Q filter and to analyze the effects of disturbance and measurement noise to the output. It is shown that the vibration and tracking error caused by backlash were decreased and the time constant and relative degree are important factor to design Q filter.

The clinical characteristics of photodamaged skin, such as coarse and fine wrinkle are not accurately evaluable with previous methods. Public awareness for wrinkle treatment and prevention which rely on proper assessment and evaluation of the underlying skin changes has been increased as the population ages. In this paper, we suggest an in-vivo method and instrument that allow us to acquire a wrinkle-enhanced image to improve the accuracy of quantitative and qualitative analysis for skin wrinkle. The method used involved white LED illumination and photography through polarizing filters. Finally, the polarized light photography yields an accurate and evaluable parameter of photodamaged skin, especially fine and coarse wrinkle.

In this study, we developed an active controlled ankle-foot orthosis(AAFO) which can control the dorsiflexion/plantarflexion of the ankle joint during gait to prevent foot drop and toe drag for paralysis patients. To prevent dropping foot after heel strike, ankle joint was actively controlled to minimize forefoot collision with the ground. It was also controlled to provide toe clearance and to help push-off during late stance. The 3D gait analysis was performed on two healthy subjects equipped with the developed AAFO to compare with the normal gait and the conventional AFO gait. In the developed AAFO gait, differently from the conventional AFO gait, significant push-off was observed during pre-swing and the maximum flexion moment during pre-swing phase was similar to that of normal gait. A remarkable dorsiflexion also occurred during initial swing. These results indicated that the developed AAFO could have certain clinical benefits to prevent foot drop for paralysis patients, compared to conventional AFOs.

In this paper, a stereoscopic display system using a rotary disk tyre beam shutter and two beam projectors is proposed. It is a kind of active stereoscopic display and can be easily converted from passive stereoscopic system using polarizing filters. If it is possible to synchronize the revolution speed of the beam shutter with the integer multiple of the scanning frequency of the beam projectors, we can obtain a comparable performance with our system to an active stereoscopic system using one expensive high performance beam projector. Further, if we rotate the beam shutter at sufficiently high revolution speed, our active stereoscopic system works regardless of synchronization and thus the system is much easier to implement.

풍력발전기에 있어서 블레이드의 Yaw방향 제어는 끊임없이 변화하는 풍향에 대해 효율의 극대화와 블레이드의 강도 및 진동측면에서 대단히 중요하다. 기존의 블레이드 Yaw 방향 측정은 접촉 및 비접촉 센서가 이용되어왔다. 본 논문에서는 풍력발전기의 원격모니터링 시스템에서 기본적으로 설치되는 카메라를 이용하여 블레이드의 Yaw방향을 측정하는 방법을 제안한다. 블레이드가 풍향에 따라 회전할 때 영상 누적을 행하고, 누적영상에 대해 경계점을 추정하여 타원의 궤적을 추정한다. 추정된 경계점들을 이용하고 최소자승법을 적용하여 타원방정식을 추정하고, 장축과 단축을 연산한다. 장축과 단축의 변화를 이용하여 카메라의 촬영방향의 기준점으로부터 Yaw방향의 변화를 정량적인 값으로 산출하여 이를 바탕으로 Yaw회전각을 추정한다. Yaw 방향 추정의 검증을 위해 블레이드 속도와 Yaw 방향의 제어가 가능한 모형풍력발전기를 제작하고 실험을 통하여 제안한 추정알고리즘의 유효성을 검증한다.

In this paper, the detection scheme of the spatial coordinates based on stereo camera for a Transformation algorithm of an Leg-wheel Hexapod Robot is proposed. Robot designed as can have advantages that do transfer possibility fast mobility in flat topography and uneven topography through walk that use wheel drive. In the proposed system, using the disparity data obtained from the left and right images captured by the stereo camera system and the perspective transformation between a 3-D scene and an image plane, depth information can be detected. Robot uses construed environmental data and transformation algorithm, decide wheel drive and leg waik, and can calculate width of street and regulate width of robot.

Since a humanoid robot inherently suffers from instability and always risks tipping itself over, or topping to the ground, it is necessary to ensure high stability and reliability of walk. An unexpected ground condition is one of the principal factors of instability. This paper proposes a walk stabilization method consisting of a Fuzzy algorithm and geometry under uneven terrain. The ground reaction forces that are measured by the FSR sensors on the sole are used to check the ground condition and the robot posture. The effectiveness of proposed method is verified by computer simulations.

In this study, plasma etching process was modeled by using support vector machine (SVM). The data used in modeling were collected from the etching of silica thin films in inductively coupled plasma. For training and testing neural network, 9 and 6 experiments were used respectively. The performance of SVM was evaluated as a function of kernel type and function type. For the kernel type, Epsilon-SVR and Nu-SVR were included. For the function type, linear, polynomial, and radial basis function (RBF) were included. The performance of SVM was optimized first in terms of kernel type, then as a function of function type. Five film characteristics were modeled by using SVM and the optimized models were compared to statistical regression models. The comparison revealed that statistical regression models yielded better predictions than SVM.

Expressive face and human body gestures are among the main non-verbal communication channels in human-human interaction. Understanding human emotions through body gesture is one of the necessary skills both for humans and also for the computers to interact with their human counterparts. Gesture analysis is consisted of several processes such as detecting of hand, extracting feature, and recognizing emotions. Skin color information for tracking hand gesture is obtained from face detection region. We have revealed relationships between paricular body movements and specific emotions by using HMM(Hidden Markov Model) classifier. Performance evaluation of emotional human body recognition has experimented.

본 연구는 정보입자와 유전알고리즘의 기호코딩을 통해 퍼지집합 기반 다항식 뉴럴네트워크(IG based gFSPNN)의 최적 설계 제안한다. 기존의 Furry Srt-based Polynomial Neural Networks의 최적설계를 위해 유전자 알고리즘의 이진코딩을 사용하였다. 이지코딩은 스티링 길이 때문에 연산시간이 급격히 증가되는 현상과 해밍절벽(Hamming Cliff)에 따른 급격한 비트변환이 힘들다는 단점이 내제 하였다. 이에 본 논문에서는 스티링 길이와 해밍절벽에 따른 문제를 해결 하기위해 기호코딩을 사용하였다._데이터들의 특성을 모델에 반영하기 위해 Hard C-Means(HCM)을 결합한 Information Granulation(IG)을 사용하여 최적모델 구축 속도를 빠르게 하였다. 실험적 예제를 통하여 제안된 모델의 성능을 평가한다.

This paper presents intelligent digital redesign method of global approach for hybrid state space fuzzy-model-based controllers. For effectiveness and stabilization of continuous-time uncertain nonlinear systems under discrete-time controller, Takagi-Sugeno(TS) fuzzy model is used to represent the complex system. And global approach design problems viewed as a convex optimization problem that we minimize the error of the norm bounds between nonlinearly interpolated lineal operators to be matched. Also, by using the bilinear and inverse bilinear approximation method, we analyzed nonlinear system's uncertain parts more precisely. When a sampling period is sufficiently small, the conversion of a continuous-time structured uncertain nonlinear system to an equivalent discrete-time system have proper reason. Sufficiently conditions for the global state-matching of the digitally controlled system are formulated in terms of linear matrix inequalities (LMIs). Finally, a T-S fuzzy model for the chaotic Lorentz system is used as an example to guarantee the stability and effectiveness of the proposed method.

A ball moving on a beam is a typical nonlnear dynamic system, which is often adopted to proof test diverse control schemes. Ball and plate system is the extension of the traditional ball and beam problem that moves a metal ball on a rigid plate. In this paper, a trajectory planning and tracking problem is proposed for ball and plate system, which is to control the ball from a point to another without hitting the obstacles. Our scheme is composed of three controllers, TS type optimal path tracking controller, mandani type obstacle avoidance controller and trajectory planning controller that determines the desired trajectory. But this type of construction can give rise to chattering executions. Because the difference of contributions from concurrent controllers can cause behaviors unsmoothly. We propose fuzzy pid supervision control1er to handle this problem.

This paper is concerned with an Adaptive Fuzzy Sliding Mode Control(AFSMC) that the fuzzy systems are used to approximate the unknown functions of nonlinear system. In the adaptive fuzzy system, we adopt the adaptive law to approximate the dynamics of the nonlinear plant and to adjust the parameters of AFSMC. The stability of the suggested control system is proved via Lyapunov stability theorem, and convergence and robustness properties are demonstrated. The simulation results demonstrate that the performance is improved and the system also exhibits stability.

NLPCA(Nonlinear Principal Component Analysis) is a novel technique for multivariate data analysis, similar to the well-known method of principal component analysis. NLPCA operates by a feedforward neural network called AANN(Auto Associative Neural Network) which performs the identity mapping. In this work, a sensor fault detection system based on NLPCA is presented. To verify its applicability, simulation study on the data supplied from sensor network is executed.

Diabetic neuropathy is one of the most common diabetic complications. In clinical practices, nerve conduction velocity (NCV) has been used as a standard method for diagnosing diabetic neuropathy. However, it applies maximum of 100mA electric stimulus to nerves causing stress and pain to patients. In this study. as a non-invasive method, $TcpO_2$ was utilized to investigate the difference and relationship between $TcpO_2$ and $SpO_2$ of normal and diabetic neuropathy subjects. In addition, a new method of diagnosing diabetic neuropathy using $TcpO_2$ is suggested. 50 normal subjects and 50 diabetic patients with neuropathy diagnosed by NCV participated in this study. Parameters used in this study were $TcpO_2,\;TcpCo_2$, and $SpO_2$. As a result of the $TcpO_2$ measurements, statistical significances were found from $TcpO_2$ of hands and feet from normal and patients group (p<0.01). $SpO_2$ measured from index finger of normal and patient groups showed no statistical significance (p>0.05). On the other hand, $SpO_2$ measured from great toes of normal and patient group showed statistical significance (p<0.01). Correlation coefficient between $SpO_2$ of finger and $TcpO_2$ of hand was 0.400 (p<0.01) and $SpO_2$ of toe and $TcpO_2$ of foot was 0.471 (p<0.01). Both correlation values were statistically significant. Sensitivities and specificities of the $TcpO_2$ method were found to be 66 % and 92 %, respectively. If suggested $TcpO_2$ method is used periodically. prevention and early diagnosis of diabetic neuropathy is possible.

In this paper, the previous 2-D gradient coil design method using loop current elements is extended to 3-D or multi-layer structures which is useful for various MRI applications including MR microscopic imaging where relatively large space may be available for the implementation of the gradient coils. Either the power consumption or the stored energy (thus, inductance), or the combination of the two can be minimized with a set of chosen target field constraints. Complete 3-D design equations for the optimization as well as inductance or resistance calculation are derived. An effective coil shape correction method for a curved current pattern is also developed. The design method can also be easily extended to the active shielding structure.

In this study, we designed a digital inclinometer to measure the angle and acceleration signals. Digital inclinometer consists of a tilt sensor, accelerometer, one-chip micro controller and BlueTooth module. Using the developed system, we made an experiment with Roll. The subject is laid on the Roll and rises each foot $90^{\circ}$ and $45^{\circ}$ up, and measures angle and acceleration signals with 100Hz sampling frequency. Through several tests, we could find the possibilities and usefulness which can evaluate normality / abnormality of body posture objectively.

In this research, we tried to implement a PDA (Personal Digital Assistant)-based hearing aids fitting system to manipulate hearing aids-fitting parameters in the user's local environment. Due to the inherent portability of PDA system, we can consequently perform the hearing aids fitting operation without visiting a special site.

In this study, we search some parameters well-related to floating-sinking pulse by statistical analysis, because these pulses are frequently used in clinic. Pulse signals were acquired by 3D pulse analyzer and 30 subjects consist of 15 people diagnosed as floating pulse and 15 people diagnosed as sinking pulse by oriental doctors who have over 5 years clinical experience. Then, we made a representative beat template for each subject and, through a peak detection algorithm, we calculated several pulse parameters. To find the parameters related to floating-sinking pulse, we performed statistical testing with 17 parameters through the independence sampling, t-test. As a result, there is the biggest difference between pressure, the maximum pulse pressure, diastolic area(Ad) and float-sink data. (p < .05).

This paper describes a new method to eliminate the baseline wander for ECG based on waveform morphology analysis. This method uses the descending slope tracing waves[3] to separate the baseline wander from ECG and approximates the separated baseline wander to a corresponding approximated S-waves contour, and finally, subtracts the approximated S-waves contour from the original ECG. To verify its efficacy and validity in practical applications, this method has been applied to MIT/BIH database and compares this method with the other method employing the ascending slope tracing waves to remove a baseline from ECG[4].

Due to enhanced high IT (information technology) development, IT-based technology convergences such as IT/ET(electric technology), IT/BT(biology technology) and IT/NT(nano technology) are actively merging trend and their applications spread wide. In this paper PLC (power line communication), one of the merging IT, is investigated as one of the potential IT candidates for IT/ET and IT/BT convergence technology for DLC (direct load control) or bio-medical engineering such as ubiquitous health cares or D2H2 (distributed diagnosis and home health care).

Tilting trains are now an established feature of railway operations throughout the world. For intercity traffic, tilt provides operators with increasing speeds, and therefore enhanced competitiveness, on existing routes where insufficient traffic or a lack of funds precludes the construction of a dedicated new high-speed railway. Appling the tilting train, we can expect 30% of speed up on existing lines, but the stability of the electric current would be low because of tilting the train. Also, the spark between the catenary and pantagraph cause environmental problems such as noise, radio wave malfunction. Therefore, the tilting on pantagraph for the power suppling device is very essential for stable electric power supply.

The paper is proposed maximum torque control of SynRM drive using adaptive learning mechanism-fuzzy neural network(ALM-FNN) controller and artificial neural network(ANN). The control method is applicable over the entire speed range and considered the limits of the inverter's current and voltage rated value. For each control mode, a condition that determines the optimal d-axis current $^{i}d$ for maximum torque operation is derived. The proposed control algorithm is applied to SynRM drive system controlled ALM-FNN and ANN controller, the operating characteristics controlled by maximum torque control are examined in detail. Also, this paper is proposed the analysis results to verify the effectiveness of the ALM-FNN and ANN controller.

This paper presents Hybrid-PI controller of induction motor drive using fuzzy control. In general, PI controller in computer numerically controlled machine process fixed gain. They may perform well under some operating conditions, but not all. To increase the robustness, fixed gain PI controller, Hybrid-PI controller proposes a new method based self tuning PI controller. Hybrid-PI controller is developed to minimize overshoot and settling time following sudden parameter changes such as speed, load torque, inertia, rotor resistance and self inductance. The results on a speed controller of induction motor are presented to show the effectiveness of the proposed gain tuner. And this controller is better than the fixed gains one in terms of robustness, even under great variations of operating conditions and load disturbance.

The pure electric braking system need to be developed to stop the electric train to zero speed by electricity. This system has advantages like reduction of weight, maintenance cost, noise, and dust generated by disk friction. Therefore, we will study this system for Korean urban transit system.

In this paper, we design a Linear Quadratic Gaussian(LQG) controller for active suspensions. We can improve the inherent suspension problem, trade-off between the ride quality and the suspension travel by selecting appropriate weights in the LQ-objective function. Using an optimization-algorithm, Evolution Strategy(ES), we find the proper control gains for selected frequencies, which have major effects on the vibrations of the vehicle's state variables. The frequencies and proper control gains are used for the neural network data. During a vehicle running, the trained on-line neural network is activated and provides the proper gains for non-trained frequencies.

In this paper we describe the design of a Dual Power Controller(DPC) for Power Control System(PCS) in Nuclear Power Plant. The PCS also provides information regarding rod motion, rod position, and status of the Rod Control System. It has Hot/Stand-by type, and also has the function of fault detection for controller itself and power modules. We have implemented the various functions with the dual Power Controller. Due to the developed DPC, we are assured that the commmecial use by this controller be made before long.

Ladder Diagram(LD) is the most widely utilized among many sorts of existing programs using for the design of process control system. But it is very difficult to grasp sequential flow of control logic. In this paper, we proposed the method that we can control a lot of blocks. We used PLC in process control system. And, in order to design we used Sequential Function Chart(SFC). In this paper, we proposed the method of block contro. and confirmed feasibility through a simulation.

인간의 감성은 의사결정과 의사소통에 있어서 중요한 역할을 한다. 감성의 생성과 표현은 성격에 의해 영향을 받는다. 이와 같은 감성과 성격을 반영한 로봇은 보다 자연스러운 표현과 효율적인 의사소통을 할 수 있다. 본 논문은 상태방정식과 출력 방정식으로 구성된 성격을 고려한 감성 시스템을 제안한다. 상태방정식은 외부자극으로부터 감정을 생성하고, 출력방정식은 성격과 환경을 반영하여 감정의 표현 강도를 결정한다. 감성시스템에서 성격은 입력된 자극을 통한 성격 5요인이론에 언급된 5요인의 값을 변화시킴으로써 학습된다. 또한 고전적 학습방법으로 자극을 학습하여 감정의 형성에 영향을 주는 자극의 수를 증가시킨다.

적분연산행렬은 구간연속 직교함수들이 시스템 동정, 해석, 제어기 설계 등의 분야에 널리 이용될 수 있는 계기를 제공하였다. 특히 블럭펄스 함수는 연산이 간단하기 때문에 선형 시변계와 비선형계 등의 제어문제 둥에 널리 이용되어 오고 있다. 본 논문은 기존의 블럭펄스 함수 적분 연산행렬과 비교했을 때 적분오차를 줄이는 적분연산행렬을 소개하였으며, 이를 이용하여 고차 시스템의 응답에 가장 최적한 응답을 갖는 저차 시스템의 응답을 갖도록 최적응답 방법에 적용하여 대수적인 방법으로 저차 시스템의 파라메터를 구하는 알고리즘을 제시함으로서 유용성을 확인하였다.

Generally PI controller is used to control the speed of an induction motor. It has the good performance of speed control in case of adjusting the control parameters. But it occurred the problem to change the control parameters in the change of operation condition. In order to solve this problem, Fuzzy control or Artificial neural network is introduced in the speed control of an induction motor. However, Fuzzy control have the problems as the difficulties to change the membership function and fuzzy rule and the remaining error. Also Neural network has the problem as the difficulties to analyze the behavior of inner part. Therefore, the study on the combination of two controller is proceeded. In this paper, Speed controller of an induction motor based fuzzy-neural network is proposed and the speed control of an induction motor is performed using the proposed controller. Through the experiment, the fast response and good stability of the proposed speed controller is proved.

The paper treats the nonlinear robust control of Chua's circuit having Chuar's diode as an element based on the internal model principle. The Chua's diode has unknown nonlinear parameters and the circuits parameters are alos assumend unknown. Nonlinear regulator equations are established to obtain 3-fold equilibrium equations on which the output error is zero. Also an internal model of the 3-fold exosystem is constructed for obtaining the control law. Pole Placement method is used for obtaining the feeback control law. Simulation results are presented for tracking the sinusoidal and constant reference input signal. Asymptotic trajectory control and the suppression of chaotic motion in spite of uncertainties in the system are accomplished.

This paper presents the real-time water tank wireless control in a ship using duplex RF modules and PLC(Programmable logic Controller). The purpose of this paper is developing HMI(Human Machine Interface) for automation equipments. The system can low a cost because long wires are no more used. Analog signals of the water gauge and flow meter are changed to discrete signals by the micro-processor. The PLC checks the volume of water and runs On or Off of the valve and pump. Duplex RF modules send and receive data between the water tank and control room. Everywhere the Internet is used, operators are able to check the status of the system by the web-server.

This paper presents a decentralized input-output feedback linearizing controller for a multi-machine power system. Firstly, the controller is designed using input-output feedback linearization for modified outputs. Then we present a guideline for selecting gains of the controller and parameters in the modified outputs. Simulations illustrate the effectiveness of the proposed control scheme and the selection guideline.

Prototype NBI(Neurtal Beam Injector), which Is tested at KAERI(Kaeri Atomic Energy Research Instutide), is the facility for tokamak plasma Ignition of the advanced nuclear fusion KSTAR(Korea Superconducting Tokamak Advanced Research). New NBI facility, which is the part of KSTAR tokamak, will be constructed during next three years. This investigation is focused on the preliminary test to construct the control system for KSTAR NBI, before KSTAR NBI facility is constructed.

Searching the region of interest on the Hough transform domain is done to determine the real road boundary on the high speed way. The mathematical morphology is employed to obtain the gradient image which is utilized in Hough transform. Many possible candidates of lines could appear on the ordinary road environment and simple selection of the strongest line segments likely to be fault boundary lines. To solve such problem, the search area for the candidates of the road boundary which is called the region of interest is limited on the Hough space. The effectiveness of the proposed algorithm has been shown with experimental results.

The structured lighting technique is a very accurate depth measurement method. One problem in this technique is that the laser light is invisible very often partly or as a whole caused from occlusion, light absorbtion, and reflection on the surface. If there is no laser light detected on a row of the image frame, the depth could not be computed at the point on the row. In this paper, a Dynamic Programing-based efficient laser line tracking algorithm is proposed to find the most likely line of the laser light utilizing all the possible information of the laser light trace. The performance of the algorithm is shown.

본 논문은 HVAC(heating, ventilating, and air conditioning) 시스템의 효율성과 안정성에 기초하여, 과열도와 저압을 제어하는 Multi Fuzzy 제어기 설계를 제안한다. HVAC 시스템은 Compressor(압축기), Condenser(응축기), Evaporator(증발기), Expansion Valve(확장 밸브) 로 구성되며, 각각의 기기에 대한 제어가 독립적으로 이루어져 있다. 기존의 제어가 한 제어기를 사용한 단일방식으로 이루어지다보니 HVAC 시스템의 특성인 냉매의 상태가 달라지면 시스템 전반적으로 그 영향이 파급되는 부분까지 고려를 해 주지 못하고, 제어기의 성능이 효율적이고 안정적이지 못했다. 본 논문에서는 HVAC 시스템의 효율과 안정도에 결정적인 영향을 미치는 파열도와 저압을 제어하기 위해, 비선형성이 강하고 불확실하며 복잡한 시스템을 쉽게 제어할 수 있는 Fuzzy 제어기를 구성하여, 3대의 Expansion Valve 와 1대의 Compressor 에서 동시에 제어하는 Multi 제어기를 설계한다. 제안된 Fuzzy 제어기는 이산형 lookup_table 방식과 연속형 간략추론 방식을 사용하여 제어기를 설계하고, 유전자 알고리즘(GAs)을 이용하여 최적의 Fuzzy 제어기의 환산계수를 구한다. 그리고 시뮬레이션 결과를 통해 이산형 lookup_table 방식과 연속형 간략추론 방식의 각각의 제어기를 사용한 결과를 비교한다.

산업현장에서 가장 많이 활용되고 있는 PID제어기의 이론적인 배경을 토대로 실제 DCS 기반 플랜트에서 PID Tuning Method에 의한 PID제어기를 구현하고 제어성능을 확인한다. 또한 DCS(Distribute Control System)의 PID Controller를 분석하고 전 공정제어 System 중 일부분을 ARMA Modeling하여 만족스런 성능이 구현되도록 최적의 PID gain Parameter를 찾는다.

A train having a system which tilts the train body to reduce the lateral acceleration experienced by passengers when operating around curves, allowing the train to run at higher speeds through curves than non-tilting trains. A tilting train may have a maximum design service cant deficiency of up to $8^{\circ}$. In this case there is, at worst, a margin of only $6^{\circ}$ cant deficiency between a train travelling at enhanced permissible speed and its roll-over resistance. This is a significant reduction in the margin against overturning compared to that offered at permissible speeds. Particular consideration therefore needs to be given to the adequacy of the margin and the additional controls against overturning required when trains travel at enhanced permissible speeds. This paper deals with the speed supervision system of tilting train through curves.

This paper describes performance of the modified gain scheduling controller by speed control of a DC motor. The modified gain scheduling controller can perform tracking at more than one equilibrium points. The modified gain scheduling controller which considers transient response according to added zero shows better result of tracking performance than the unmodified gain scheduling controller shows.

In this paper, we design a terminal sliding mode controller based on neural network for nonlinear systems with uncertainties. Terminal sliding mode control (TSMC) method can drive the tracking errors to zero within finite time. Also, TSMC has the advantages such as improved performance, robustness, reliability and precision by contrast with classical sliding mode control. For the control of nonlinear system with uncertainties, we employ the self-recurrent wavelet neural network(SRWNN) which is used for the prediction of uncertainties. The weights of SRWNN are trained by adaptive laws based on Lyapunov stability theorem. Finally, we carry out simulations to illustrate the effectiveness of the proposed control.

A control valve with deadband characteristics influences on the control dynamics. A control loop with deadband component shows cyclic control results and causes the wears of mechanical parts. A valve on the important process that require nonstop operation cannot be improved during operation. In case of control loops with deadband dynamics, the optimal control parameters based on the performance only are not sure of the good operation in point of protecting the control component. To improve the control performance and control oscillation, the control parameters should be changed to meet both control qualify and protection of control components.

The light gets darker from center to edge of the light source. Therefore, we can find the center of the sun using shading histogram. Moreover, we can track the exact position of the sun with the shading histogram. In this paper, we propose a new technique using image-processing of digital camera, in order to locate the position of the sun.

This paper present backstepping control approach for controling chaotic Liu system. The proposed method is a systematic design approach and consists in a recursive procedure that interlaces the choice of a Lyapunov Function. Based on Lyapunov stability theory, control laws are derived. We used the same technique to enable stabilization of chaotic motion to a steady state as well as tracking of any desired trajectory to be achieved in a systematic way. Numerical solution are shown to verify the result.

A controller is proposed for the robust adaptive backstepping control of a class of uncertain nonlinear systems using nonlinear disturbance observer (NDO). The NDO is applied to estimate the time-varying lumped disturbance in each step, but a disturbance observer error does not converge to zero since the derivative of lumped disturbance is not zero. Then the fuzzy neural network (FNN) is presented to estimate the disturbance observer error such that the outputs of the system are proved to converge to a small neighborhood of the desired trajectory. The proposed control scheme guarantees that all the signals in the closed-loop are semiglobally uniformly ultimately bounded on the basis of the Lyapunov theorem. Simulation results are presented to illustrate the effectiveness and the applicability of the approaches proposed.

In this paper, sun tracking system using Sun position sensor is proposed, the sun tracking system designed as which raises the efficiency of solar power generation. It design the structure being simple and it develops the system which is economical efficiency. It develops the hazard technique such as location tracking method of the sun which uses the sensor and to use the motor solar cell module movement. The Sun tracking system makes the drive in order to do with one axis and to use the sensor and to know in order to put out, the location of the sun and it makes. To make the solar location tracking sensor where the structure is simple it used two solar cells.

This paper presents a force-reflecting teleoperation scheme with time delay. In reciprocal systems, to improve the stability and performance of the tleleoperation system, the network provides a wide bandwidth, no congestion. However, as use of Internet increases, congestion situation of network increased and transmission time and packet loss increased accordingly. This can make system unstable at remote control. In this paper, we present a passive control scheme for a force reflecting bilateral teleoperation system via the Internet and we investigated how a varying time delay affects the stability of a teleoperation system. A new approach based on a passive control scheme was designed for the system. The simulation results and the tracking performance of the implemented system are presented in this paper.

Motorized retractors enhance the safety of passengers by removing the slack of webbing and by holding upright driving position. Reliability of a driving mechanism that includes one-way clutch between the driving motor and webbing is directly linked to the safety of passenger. In this research, conditions for locking one-way clutch and also conditions for sustaining locking are theoretically investigated. the operation of a motorized retractor under realistic conditions is simulated in order to validate the proposed retractor design.

This paper presents a new method on controller design of brushless dc motors. In such drives the current ripples are generated by motor inductance in stator windings and the back EMF. To suppress the current ripples the current controller is generally used. To minimize the size and the cost of the drives it is desirable to control motors without the current controller and the current sensing circuits. To estimate the motor current it is modeled by a neural network that is configured as an output-error dynamic system. The identified model is essentially a one step ahead prediction structure in which fast inputs and outputs are used to calculate the current output. Using the model, effective estimator to compensate the effects of disturbance has been designed. The effectiveness of the proposed current estimator is verified through experiments.

This paper present a method of current control for torque ripple reduction in brushless dc motor which have a trapezoid back EMF. In such drives the current ripples are generated by motor inductance in stator windings and the back EMF. The ripples suppression techniques that are practically effective in high speed as well as in low speed regions are rarely found. The proposed method here is based on a strategy that the commutation intervals of the incoming ang the outgoing phases can be equalized by a proper PWM control.

In this paper, we study the robot controller design using the voice and data communication via CDMA(Code Division Multiple Access) mobile communication network. We design the robot remote controller using the three methods, telephone call speech recognition, DTMF (Dual Tone Multiple Frequency) realization, SMS(Short Message Service) transmission/reception way via CDMA mobile communication network. We investigate the validity and effectiveness of the proposed remote controller which applied to the mobile robot.

In this paper, we design a new controller for an ultra-precision positioning system. In general, time optimal control enables to reach a target position faster than others. However it shows a weakness to chattering effect. In order to solve the problem, a new control algorithm based on sliding mode control is proposed. The suggested controller is composed of LQR control and sliding mode control. By performing some simulations, we prove that the proposed controller is more robust than time optimal control under the circumstance of parameter uncertainties and external disturbances.

In this paper, we present the traditional GPS Position- Velocity (PV) model to apply for both Discrete-Time Kalman Filter and Discrete-Time $H_{\infty}$ Filter. The positioning algorithms of both filters are proposed for a stand-alone low-cost GPS module to increase its accuracy. For disturbance cancellation, the Kalman Filter requires the statistical information about process and measurement noises while the $H_{\infty}$ Filter only requires that these noises are bounded. Experiments show that with the same measurement data, $H_{\infty}$ Filter gives us better positioning results compared with Least-Squared method and Kalman Filter.

In this paper, the position control performance of networked control systems is analyzed when time delay through the network is considered. Integrating a control system into a network has great advantages over the traditional control system which uses point to point connection: it allows remarkable reduction in wiring, makes it easy to install and maintain the system, and improves compability. However, a networked control system has the critical defect that network uncertainties, such as time delay, can degrade the control system's performance. Therefore, the major concern of a networked control system is analyzing the effect of network uncertainties. This paper is concerned with PID controller performance for stability region, critical stability region and unstability region under the time delay in the Controller Area Network.

The electric power system of Kwangyang steel works needs to keep the parallel operation with the system of KOPEC(Korea Electric Power Corporation) for supplying the power with safety. Once it is separated from KOPEC due to an accident, it operates the automatic Mill trip system to prevent huge fluctuating loads from the serious frequency drop. In spite of that, it is recent situations that the continuous growth of electric loads facilitates the frequency drop. Therefore, this paper proposes a model of generator control system so as to quantitatively analyze the response characteristics to the frequency change under the single operation, and also suggests the strategy for minimizing the frequency changes. The simulation results show it is desirable to operate the generators by 3% speed droop and 10% load limiter.

This paper proposes a new track-following control method using disturbance observer with the freedom of gain and frequency adaptation in optical disk drive system. Recent ODDs use smaller track pits, higher rotation speed and broader rotational speed variations to increase the data capacity and data transfer rate. This cause the degradation of track-following performance by increasing the disturbance of the rotary system. In this paper, we discussed on a DOB structure that efficiently attenuate the disturbance without effecting the overall feedback loop characteristics on CLV type ODD which uses a higher and broader range of rotational speed. DOB structure uses two band pass filter. We analyzed the track-following performance sensitivity on rotational frequency variance and gain changes. This analysis is done on a computer simulation environment and actual ODD product.

We have developed the convergence system that can control an appliance under ubiquitous circumstance. The system can display the GPS information received from the satellite, several control signal and mobile phone signal. In order to display the information between phone and the PC, we can control program command.

Electronic warfare Support(ES) system measures pulse characteristics for received RF signals that received from all directions. ES system discriminates the pulse trains that have a rule, correlationship, continuance from collected data and analyze the characteristics of the data, and identify the emitters by comparison with emitter identification data(EID). Because pulse density is very high and various signal source exists at modem signal environments, high-speed and accurate signal analysis is needed for realtime countermeasure to emitters. Grouping alleviates the load of signal analysis process and supports reliable analysis. In this paper, we suggest an adaptive clustering scheme regarding signal patterns.

The AIS(Automatic Identification System) has to be developed SOTDMA(Self-Organized Time Division Multiple Access) Algorithm which is important on wireless communication method because It is based on ITU(International Telecommunication Union) M.1371-1 of the international standard therefore, we need to develop a performance evaluation simulator efficiently to develop and analyze SOTDMA Algorithm. This paper shows the method of designing it. The SOTDMA Algorithm driving state verifies the performance evaluation simulator by IEC(International Electrotechnical Commission) 61993-2. After verifying results the performance evaluation simulator is correctly satisfied with IEC 61993-2. So we expect that it helps not only the AIS technology developed but also verify new SOTDMA Algorithm.

방사선을 센싱하는 센서들에는 어려 종류가 있으며, 그 센서에 따라서 감도나 센싱방식이 다양하다. 본 연구에서는 해상도가 높은 범용 CCD 센서를 이용하여 방사선을 검출하는데, 들어오는 영상에서 방사선에 반응하여 생기는 백색량을 처리하여 방사선량을 측정하고 공간상에서 방사선이 가장 많이 나오는 포인터를 제시하며 스테레오 카메라 방식의 구현으로 방사선원까지의 거리 산출할 수 있다. 추후 영상을 합성하여 입체화 시키는 연구도 진행할 예정이다. 논 연구의 결과물로 예기치 않은 방사선 사고의 경우 효과적인 사친처리에 활용될 수 있을 것이다.

A Analog parallel processing-based Viterbi decoder which decodes PRML signal of DVD has been designed by CMOS circuit. The analog processing-based Viterbi decoder implements are functions of the conventional digital Viterbi decoder utilizing the analog parallel processing circuit technology. The Analog parallel processing-based Viterbi decoding technology is applied for the PR(1,2,2,1) signal decoding of DVD. The benefits are low power consumption and less silicon consumption. In this paper, the comparison of the Analog parallel processing-based Viterbi Decoder which has a function of the error correction between Max operation and Average operation is discussed.

A high speed Analog parallel processing-based Viterbi decoder with a circularly connected 2D analog processing cell array is proposed. It has a 2D parallel processing structure in which an analog processing cell is placed at each node of trellis diagram is connected circulary so that infinitively expanding trellis diagram is realized with the fixed size of circuits. The proposed Viterbi decoder has advantages in that it is operated with better performance of error corrections, has a shorter latency and requires no path memories. In this parer, the performance of error correction as a reference position with the Analog parallel processing-based Viterbi decoder is testd via the software simulation

PDP벽걸이형 대형 평판 디스플레이로서 최근 시각적 극대화에 도움이 되는 대형화의 가능성과 자연스러운 색감 표현력 등의 장점 때문에 주목받고 있다. 하지만 저계조 표현, 의사 윤곽 문제등의 화질 저하 문제로 우위에 있지 못하고 다른 디스플레이 장치들과 치열한 경쟁을 하고 있어 더욱 많은 화질 연구가 필요하다. 본 논문은 42" PDP의 차질 개선 연구를 위한 Verilog HDL을 이용한 소프트 웨어 테스트-베드 구현과 FPGA를 이용한 자체 제작 보드에서 대해 설명한다.

We made the logic that can transmit the service data and clock of interest by using the optical signal and demodulate the original signal at the receiving end. Because We can interface the all communications equipment to which We intended to send the signal. We can modulate the dock and clocked data using optical signal and then transmit the original optical signal to the receiving end, finally, arbitrarily control the traffic between ports.

This paper presents a hybrid SoC design for phase detection of single tone signal. The designed hybrid SoC is composed of three functional blocks, i.e., an analog to digital converter module, a phase detection module and a controller module. A design of the controller module is based on a 16-bit RISC architecture. An I/O interface and an LCD control interface for transmission and display of phase measurement values are included in the design of the controller module. A design of the phase detector is based on a recursive sliding-DFT. The recursive architecture effectively reduces the gate numbers required in the implementation of the module. The ADC module includes a single-bit second-order sigma-delta modulator and a digital decimation filter. The decimation filter is designed to give 98dB of SNR for the ADC. The effective resolution of the ADC is enhanced to 98dB of SNR by the incorporation of a pre FIR filter, a 2-stage cascaded integrator- comb(CIC) filter and a 30-tab FIR filter in the decimation. The hybrid SoC is verified in FPGA and implemented in 0.35 CMOS Technology.

In this paper, we develop a portable game device with uncompressed HD video and high quality sound output. Portable game devices support not only game function but also various complex functions recently. It especially supports TV-Out port to play realistic game, connecting a large screen display device. But the video and audio output signals of conventional TV-out port have the low performance and these signals are analog output. So, it is difficult that the users enjoy realistic game with benefit of high resolution digital TV. We propose the game device output with uncompressed digital signal, which has no delay of video/audio signal, also has strong immunity to external noise. Since it supports a high resolution video and high quality sound, users can playa realistic game. First, we implement the HDMI to the game device and we test reliability with the various resolutions video inputs and audio inputs. The proposed method can be applied multimedia devices requiring high performance output function as well as portable devices.

When developing a new GPS receiver module, the essential problems are evaluation of reliable algorithms, software debugging, and performance comparison between algorithms to find optimal solution. Most GPS receiver modules nowadays use a correlator to track signals from satellites and an MCU (Micro Controller Unit) to control operations of the entire module. The problem of software evaluation from MCU is very difficult, due to limitation of MCU resources and low ability of interfacing with user. Normally, user has to expense special tool kit for a limiting access to MCU but it is also hard to use. This article introduces an implementation of a GPS receiver test bed using correlator GP2021 interfacing with ISA (Industry Standard Architecture) PC bus. This way can give user complete control and visibility into the operation of the receiver, then user can easily debug program and test algorithms. For this article, the least square method is implemented to test the hardware and software performance.

Recent trend on high speed packet processing for providing multiple internet services is to use network processor instead of being implemented by legacy ASIC or FPGA. Most frequently used network processor interface is the SPI4.2. This paper address the data-rate conversion interface device between SPI4.2 and SPI3/CSIX, implemented using XILINX XC2VP40 FPGA. Furthermore, we address the methodology and necessity of flow control occurred due to the data rate difference between 10Gbps and 3.2 Gbps.

When RF overlay technology is used in EPON-based optical access network, there coexist the directly modulated 1310-nm upstream data, the directly modulated 1490-nm downstream data, and the amplitude-modulated l550-nm downstream broadcast signal based on RF overlay technology. In this paper, we analyze the spectrum of 8B/10B IDLE line code signal and the SRS effect of l490-nm IDLE line code signal on 1550-nm signal. From the result of analysis, we propose a new technique that can be used to improve the CNR of the broadcast signal, which is based on self synchronous scramble method.

본 논문에서는 우주전파를 VLBI 관측시스템으로 관측한 후 고속으로 저장/재생하기 위한 시스템 구축에 관해 소개한다. 한국천문연구원에서는 2001년부터 국내 유일의 VLBI관측 시스템으로써 한국우주전파관측망(Korean VLBI Network; KVN)을 구죽하고 있다. KVN에서는 1Gsps/2bit 우주전파를 샘플링하는 샘플러와 디지털필터로 구성된 자료획득 시스템(Data Acquisition System; DAS)을 갖출 예정이다. 관측된 우주전파는 샘플러와 DAS를 통하여 처리된 데이터를 1Gbps이상의 속도로 기록된다. 본 논문에서는 1Gbps급의 대용량 데이터를 처리할 수 있는 시스템으로써 Mark5B 시스템의 구축과 시스템 구성, VSI-H, 시스템 운용 및 실험결과 등에 대해서 기술하고자 한다.

우주발사체I 상단 시스템은 비행 중에 킥 모터 점화, 위성분리와 같은 HBW 점화기 기폭이 순차적으로 발생 한다. HBW 점화기의 기폭시에는 일반적으로 전도성 구조물을 통한 단락전류가 일시적으로 발생한다. 이러한 단락전류는 구동 전원 측으로 최대 전류 값 및 루프 면적에 비례한 일시적인 자기장을 형성시키고 near 필드(${\lambda}/2{\pi}$) 내의 인접하게 위치한 하니스에 자계 결합을 통한 역기전력 발생의 원인이 될 수 있다. 이러한 인접 하니스에 자계 노이즈 결합은 여러 자료를 통해 우주시스템 환경에서 일시적인 데이터 손실의 원인이 되는 것으로 분석되고 있다. 본 논문은 우주발사체의 HBW 점화기 기폭시 발생되는 전도성 구조물 단락전류 귀환현상으로 인한 자계노이즈 분석 및 감쇄방안에 대해 논의하고자 한다.

우주발사체 검사장비는 umbilical 신호를 기준으로 발사체 내부 analog input/output, discrete input/output, 외부 전원 공급 각 제어기의 RS-422 인터페이스 구현 및 제어를 통해 우주 발사체의 기능을 통합 검사하는 것을 주 목적으로 하며 우주 발사체에 탑재되는 전기/전자시스템의 개발시험 이후 시스템 레벨에서의 통합 기능시험을 수행하는 시스템이다. 본 논문에서는 우주발사체에 적용될 검사장비의 설계 및 적용 방안에 대해 기술할 것이다.

Wire rods are carried by C-Hooks and are tracked by bringing the inspection sensors into contact with steel bars on the C-Hooks. However, the conventional system using mechanical equipment is not reliable due to aging, wearing and bending of steel bars. To overcome these problems, a non-contact type identification system is required. This paper introduces the radio frequency identification(RFID) technology which is one of the most popular non-contact identification methods, and evaluates its performance in the real environment of POSCO. Specifically, we use tags which are designed for operating on high temperature and allowing easy attaching and detaching on the C-Hook. A new monitoring program is developed for reacting upon the conventional system and showing the results of reading of reading tags.

In this paper, a new acoustic echo cancellation approach based on the DUET algorithm and scaling factor estimation is proposed to solve the scaling ambiguity in case of blind separation based acoustic echo cancellation in a noisy environment. In hands-free full-duplex communication system. acoustic noises picked up by the microphone are mixed with echo signal. For this reason, the echo cancellation system may provide poor performance. For that purpose, a degenerate unmixing estimation technique, adjusted in the time-frequency domain, is employed to separate undesired echo signals and noises. Also, since scaling and permutation ambiguities have not been solved in the blind source separation algorithm, kurtosis for the desired signal selection and a scaling factor estimation algorithm are utilized in this rarer for the separation of an echo signal. Simulation results demonstrate that the proposed approach yields better echo cancellation and noise reduction performances, compared with conventional methods.

The importance of automatic discrimination image data has evolved as a research topic over recent years. We have used forward neural network as a classifier using sound data features within image data, our initial tests have shown encouraging results that indicate the viability of our approach.

This paper suggests an automatic spot-inspection algorithm for LCD modules. Usually, LCD module testing is classified by two categories. One is for uniform pattern testing and the other is Non-uniform testing. The uniform pattern testing is well defined and also fully automated in the factory. However non-uniform pattern testing is not defined well yet, so non-uniform testing is conducted by human operators. In this paper a spot-pattern, which is one of non-uniform pattern, inspection algorithms are proposed. The performance of the proposed algorithm is tested by extensive simulations using artificial slot-patterns and real ones in the LCD modules.

In this paper, an automatic side-view inspection algorithm for LCD modules is proposed. Until now, most parts of inspection is performed by human inspectors, which means very high product costs. So inspection automation is the very hot issue in the LCD industries. However, it is not easy problem to replace the human by computer vision system. In the many inspections which are based on the human eyes, side-view inspection is most hard problem to solve. In this paper, an image morphing algorithm is developed, which will help to enable the automation of the side-view inspection process.

This paper proposes a new means of performance optimization for multimedia algorithm utilizing the Microscopic DVS (Dynamic Voltage Scaling). The Microscopic DVS technique controls the operating frequency and the supply voltage levels dynamically according to the processing requirement for each frame of multimedia data. The huffman decoding algorithm of MPEG-2 AAC audio decoder is optimized to maximize the power saving efficiency of Microscopic DVS technique. The experimental results show the reduction of computational complexity by more than 30% and the reduction of power consumption by more than 17% compared with those of the conventionally fast method.

The goal of this paper is improvement of vision inspection accuracy by using histogram specification operation. The histogram is composed of horizontal axis of image intensity value and vertical axis of pixel number in image. In appearance vision inspection, the histogram of reference image and input image are different because of minutely lighting distinction. The minutely lighting distinction is main reason of vision inspection error in many cases. Therefore we made an effort for elevation of vision inspection accuracy by making the identical histogram of reference image and input image. As a result of this area separation histogram specification algorithm, we could increase the exactness of vision inspection and prevent system error from physical and spirit condition of human. Also this system has been developed only using PC, CCD Camera and Visual C++ for universal workplace.

In a visual driver-assistance system, separating moving objects from fixed objects are an important problem to maintain multiple hypothesis for the state. Color and edge-based tracker can often be "distracted" causing them to track the wrong object. Many researchers have dealt with this problem by using multiple features, as it is unlikely that all will be distracted at the same time. In this paper, we improve the accuracy and robustness of real-time tracking by combining a color histogram feature with a brightness of Optical Flow-based feature under a Sequential Monte Carlo framework. And it is also excepted from Tracking as time goes on, reducing density by Adaptive Particles Number in case of the fixed object. This new framework makes two main contributions. The one is about the prediction framework which separating moving objects from fixed objects and the other is about measurement framework to get a information from the visual data under a partial occlusion.

Actually, The present traffic accident detection system is subsisting limitation of accurate distinction under the crowded condition at intersection because the system defend upon mainly the image information at intersection and digital image processing techniques nearly all. To complement this insufficiency, this article aims to estimate the level of present technology and a realistic possibility by analyzing the acoustic characteristic of crash sound that we have to investigate for improvement of traffic accident detection rate at intersection. The skid sound of traffic accident is showed the special pattern at 1[kHz])${\sim}$3[kHz] bandwidth when vehicles are almost never operated in and around intersection. Also, the frequency bandwidth of vehicle crash sound is showed sound pressure difference oyer 30[dB] higher than when there is no occurrence of traffic accident below 500[Hz].

This rarer is to design a low cost GPS/DGPS receiver using GP2021 correlator. By modifying the existent GPS, the performance can be enhance than before. The H/W and S/W should be updated to have good result.

In this paper, we present a model-driven approach to RTOS(Real Time Operating System)-based embedded software development and an automated tool that can produce RTOS-specific code. we defined generic RTOS APIs(Application Programming Interface) that are not bound to any specific RTOS but can provide most of typical RTOS services. The generic RTOS APIs can be used as a means for describing application's RTOS-related behavior from design stage. Out tool, called Trans-PI, is able to produce specific 'C' code aimed at POSIX(Portable Operating System Interface for UNIX)-complicant RTOSs. And it is also configurable to target other RTOSs that do not conform to the POSIX standard.

DRAM with ECC is used widely and the size of DRAW increases. According to this, DRAM initial time, especially the time to make the whole area typical value, 0, increases. This paper introduces the method that without any additional hardware, using characteristic of DRAM and DRAM controller, minimize that memory initial time. Conservative reordering - it eliminates DRAM read time and makes write buffer used - reduces initial time to make the whole DRAM area 0, by 95.36% for DDR DRAM. 9341% for Rambus DRAM.

With the increasing danger of personal information being exposed, a technique to protect personal information by identifying a non-user in case it is exposed. A study to construct a neural network recognizer for developing a economical and effective user protecting system. For this, time variables regarding user typing patterns from a pattern extraction device. With the variations in the standard deviation for the collected time variables, non-user patterns were generated. The recognition performance increased with the increase in the standard deviation and a higher recognition was achieved at 2.5. Also, five types of training data were generated and the recognition performance was examined as a function of the number of non-user patterns. With the increase in non-suer patterns, the recognition error quantified in the root mean square error (RMSE) was reduced. The smallest RMSE was obtained at the type 5 and 90 non-user patterns. In overall, the type 3 model yielded the highest recognition accuracy Particularly, a perfect recognition of 100% was achieved at 45 non-user patterns.

금년 본 연구소에서 효성의 HMI 제품의 Historical Trend 와 Historical Message 기능을 업그레이드 했다. Historical Trend 의 샘플링시간, 보관기간, 표시범위를 사용자가 동적으로 설정 할 수 있도록 수정 하였고 그동안 Historical Message에서 문제점으로 지적 되어왔던 검색이력기능 강화에 중점을 두었다.

무선 단문전송 서비스(SMS : Short Message Service)란 이동 통신 세계화 시스템의 규격을 따른 무선 호출 서비스로 별도의 부가장비 없이도 40자 내외의 짧은 문장을 주고받을 수 있는 문자 서비스이다. 휴대전화의 보급이 급속도로 확산되면서 이에 비례해 문자 서비스 이용 인구도 급속히 늘어나고 있는데, 이메일과 달리 발송 시점과 거의 동시에 내용 전달이 가능하기 때문에 현재 통신수단의 하나로 이미 확고한 자리를 굳힌 상태다. 또한 근래에는 산업현장에서도 알람이나 FAULT정보 등의 신속한 전달을 위해 SMS에 대한 요구가 높아지고 있다. 이러한 시장의 동향에 따라 본 연구소에서는 산업 현장에서 알람이나 알림, 시스템 FAULT등 긴급한 사항에 대한 단문전송 프로그램을 개발하게 되었다.

본 논문은 대면적 자기부상 스태이지의 정밀급 위치제어를 위한 시스템 구성 및 제어 알고리즘에 대한 연구결과를 기술한다. 자기부상 스태이지는 16개의 동기모터에 의해 구동되며, 각 모터의 Moving 부분에 수직방향의 힘과 수평방향의 힘을 모두 발생할 수 있도록 Halbach 구조로 되어 있다. Matlab/Simulink 모델링을 수행하였으며, Simulation 결과를 벼였다.

무선 인터넷의 급속한 성장에 따라 사용영역과 그 범위가 점차 확대되고 있으며, 사용자들은 멀티미디어 동화상 등 점차 많은 대역폭을 요구하는 서비스를 원하고 있다. 이에 따라 다양한 무선 인터넷을 사용할 수 있는 네트리크가 상용화 되어 있다. 그러나 상용화되어 있는 다양한 네트워크 중에 셀룰러 네트워크를 이용하는 경우에는 다양한 멀티미디어 서비스를 지원하기에 한계가 있고, 이종 망을 사용하는 경우에는 이동성을 제공해 줄 수 없다는 문제점이 있다. 따라서 셀룰러 네트워크와 고속의 다운로드를 받을 수 있는 이종 망을 연동하여 사용할 수 있다면 대역폭을 많이 할당할 수도 있고, 이동성도 고려한 데이터 전송이 가능하다. 따라서 이러한 두 망을 연동하여 사용할 수 있는 메커니즘 연구가 되고 있는데 아직까지 상용화는 하지 못하고 있다. 본 논문은 cdma2000 lx EV-DO (Evolution Data Only) 망과 이종 망을 연동할 수 있는 메커니즘을 제안하고자 한다. 이러한 메커니즘을 활용한다면 기존의 시스템을 그대로 활용하며 무선 인터넷의 다양한 서비스를 사용자의 요구에 부합하며 사용할 수 있으므로 다양한 멀티미디어 서비스를 이용할 수 있다.

In this paper, we have designed the GUI of the home network system through the home gateway. The GUI(graphic user interface) to achieve the operation be made on an internet and the home appliance in the remote. can be controlled by the mobile.

In wireless network environments, as users' demands on high-speed data communications due to increase of multi-media services, the necessity of new high-speed WLAN technologies has appeared. Nowaday, IEEE is standardizing a new WLAN protocol caned as IEEE 802.11n. To effectively use wireless resources, IEEE 802.11n introduces MAC aggregation function which is similar to that in IEEE 802.11e. In case of transmitting several frames without MAC aggregation, the frames include individual frame header and trailer, and their corresponding acknowledgement frames can appear on wireless link. However, if they are aggregated into single MAC frame, we can reduce the number of used bits due to frame headers/trailers and also remove redundant acknowledgement frames. In this paper, we explain two different MAC frame aggregation methods for IEEE 802.11e and IEEE 802.11n and evaluate their throughput by simulations.

Sensor networks are the results of convergence of very important technologies such as wireless communication and micro electromechanical systems. In recent years, sensor networks found a wide applicability in various fields such as environment and health, industry scene system monitoring, etc. A very important step for these many applications is pattern classification and recognition of data collected by sensors installed or deployed in different ways. But, pattern classification and recognition are sometimes difficult to perform. Systematic approach to pattern classification based on modem learning techniques like Multivariate Gaussian mixture models, can greatly simplify the process of developing and implementing real-time classification models. This paper proposes a new recognition system which is hierarchically composed of many sensor nodes having the capability of simple processing and wireless communication. The proposed system is able to perform context classification of sensed data using the Multivariate Gaussian function. In order to verify the usefulness of the proposed system, it was applied to intelligent dust collecting system.

FieldBus communication systems in industrial wired and wireless network may cause the degradation of the TCP performance due to the racket loss. TCP is particularly targeted at the wired networks, a packet loss is assumed to be caused by the network congestion. As a result, the performance of TCP decreases significantly when used over networks that exhibit a high bit error rate. In order to solve this problem, this paper designs and implements the WFSnoop mechanism which offers a fast local retransmission. The proposed mechanism does not require any changes in customer premises. Base on the simulation in the wired and wireless network environment, we analyzed the performance of the WFSnoop mechanism.

A prescaler is an essential building block for PLL-based frequency synthesizers and must satisfy high-speed and low-power characteristics. The design of D-flip flips used in the prescaler implementation is thus critical. In this paper a 64/65, 128/129 dual-modulus prescaler is designed using a $0.25{\mu}m$ CMOS process. In the design a new dynamic D-flip flop is employed, where glitches are minimized using discharge suppression scheme, speed is improved by making balanced propagation delay, and low power consumption is achieved by removing unnecessary discharge. The designed prescaler operates up to 2.5GHz and consumes 3.1mA at 2.5GHz operation.

This paper describes a 2.5V, 320MHz low-noise and low-power Phase Locked Loop(PLL) using a noise-rejected Voltage Controlled ring Oscillator(VCO) fabricated in a TSMC 0.25um CMOS technology. In order to improve the power consumption and oscillation frequency of the PLL, The VCO consist of three-stage fully differential delay cells that can obtain the characteristic of high speed, low power and low phase noise. The VCO operates at 7MHz -670MHz. The oscillator consumes l.58mA from a 320MHz frequency and 2.5V supply. When the PLL with fully-differential ring VCO is locked 320MHz, the jitter and phase noise measured 26ps (rms), 157ps (p-p) and -97.09dB at 100kHz offset. We introduce and analysis the conditions in which ring VCO can oscillate for low-power operation.

This paper describes fast-hopping frequency synthesizers for multi-band OFDM(MB-OFDM) ultra-wide band(UWB) systems. Three different structures in generating 3 center frequencies(3432MHz, 3960MHz, 4488MHz) are designed and compared. The first structure generates 3 center frequencies using only one PLL operating at 4224MHz. The second uses three PLLs operating at corresponding center frequencies. The third employes two PLLs operating at 3960MHz and 528MHz. Simulation results using a 0.18um RF CMOS process parameters show that the third structure exhibit the best characteristics. The band switching time of the proposed synthesizer is less than 1.3ns and the spur is less than -36dBc. The synthesizer consumes 22mA from a 1.8V supply.

This paper describes a frequency synthesizer designed in a $0.25{\mu}m$ CMOS technology for using local oscillators for the IF stages. The design is focused mainly on low-power characteristics. A simple ring-oscillator based VCO is used, where a single control signal can be used for variable resistors. The designed PLL includes all building blocks for elimination of external components, other than the crystal, and its operating frequency can be programmed by external data. It operates in the frequency range of 250MHz to 800MHz and consumes l.08mA at 500MHz from a 2.5V supply. The measured phase noise is -85dBc/Hz in-band and -105dBc/Hz at 1MHz offset. The die area is $1.09mm^2$

In the electric power industry, It is important that the supply of energy must always be guaranteed. To satisfy these requirements, various forms of technologies are needed, such as RFID tag, reader, sensor network, middleware and so on. WSN (Wireless Sensor Network) technologies of the electric power industry are in the early stage and there is no clear guideline for developing electric facility management system using WSN. Relevant experience is limited, the challenge will be to derive requirement from business practice and to determine whether it is possible or not. To explore this issue, we focus on researching and field test of prototype system in Korea Electric Power Corporation (KEPCO). In this paper we describe requirement from power industry. And we introduce design and implementation of the power facility monitoring system.

We introduce Location PDA Program which is a mobile system to display current location on PDA. The current location is calculated based on collecting location through each fixed node. Each fixed node sends location information of mobile node to Cell Manager system. And then, Cell Manager calculates final location based on related information and sends it to every mobile system which is connected to server and displays current location.

There are several types of communication method which is used for the supply of electric power stably. But the communication methods used in KEPCO have weak points in the viewpoint of economy, technology and management. The Satellite communication systems have competitive rover in price and technology for national wide utility owing to its wide area coverage and stability. For better practical use of satellite communication in power industry, we developed the portable satellite communication terminal. This paper presents various functions and composition of the portable terminal for rower industry.

There are several types of communication method which is used for the supply of electric power stably. But the communication methods used in KEPCO have weak points in the viewpoint of economy, technology and management. The Satellite communication systems have competitive power in price and technology for national wide utility owing to its wide area coverage and stability. This paper presents various adapted examples of the Power industry using he satellite communication systems.

Recently, nuclear power plants have been testing for application of wireless communication system to improve communication easier. Improving the availability of communication in NPPs, plant operation ability and good communication have contributed to the lower reactior trip frequency. In these regards, the possibilities of improvement in communication systems are reviewed detail. Especially, we reviewed the wire communication system, facility effect, regulation and new technologies. In this paper, we described the application of wireless in NPPs by studying EMI/RFI, EMC effect.

In this paper we introduce a design and implementation of an agent for multimedia retrieval and personalized broadcasting service. It is compliant with TV Anytime Forum specifications and supports searching location resolving, storing and streaming of remote multimedia contents. For this service, we implemented a contents server, a 메타데이터 database server, a location resolution server and a client terminal is implemented The Client terminal gathers content information by SOAP of operation, and it has a user preference module and usage history module that make user information. The personalize service agent recommends suitable contents to user by similarity algorithm.

대량의 물품이 생산되고 유통되는 현대 사회에서 개인에게 다양하고 편리한 서비스를 제공하기위해서 다방면에서 연구가 진행되고 있다. 상품을 구입 시에 사용자가 사용하는 스마트카드에 개인의 신체 치수 정보가 담겨있다면 그 사용자는 카드를 reader하는 기기에 접속하기만 하면 사용자가 필요로 하는 물품을 추천 받을 수 있을 것이다. 사람의 신체는 모든 부분을 식별할 수 있는 다양한 물리적 측정 기준을 가지고 있다. 이에 맞물려 스마트카드는 신체 식별정보 저장하기위한 적절한 저장장치이고, 관련된 컨텐츠와 자바 애플릿의 검색 및 업데이트가 용이하다는 장점이 있다. 이 논문의 연구 과제는 브라우저와 자바 임베디드 스마트카드사이의 접근 인터페이스를 설계하는 것이다.

According to the progress of multimedia technology and growth of high speed network, plenty of multimedia contents are produced and in circulation. Because of these reasons, it is required that the method which can manage efficiently and make multimedia contents, for which are saved in Storage as different used, synchronize. In this paper, the metadata schema that can manage the method with being database using each Device metadata that are produced by extracting the needed information to multimedia contents is suggested. And the method that can make synchronized multimedia contents metadata on connecting between heterogeneous devices is proposed.

본 논문의 목표는 디지털 방송 수신과 아날로그 방송 수신 및 방송 컨텐츠를 녹화, 저장, 재생이 가능할 뿐만 아니라 각종 멀티미디어 컨텐츠를 즐길 수 있고, 양방향 데이터 방송이 가능하며, 저장된 콘텐트를 스트리밍으로 개인 멀티미디어 플레이어로 스트리밍 이 가능한 다기능 일체형 개인 녹화기를 개발하는 것이다. 고품질 디지털 방송과 기존의 아날로그 방송을 고품질의 디지털 컨텐츠로 변환하여 저장하고, 이를 원하는 시점에 언제든지 볼 수 있을 뿐만 아니라 인터넷 접속하여 어디 서든지 개인 형 멀티미디어 플래이어를 이용하여 스트리밍으로 저장된 컨텐츠를 즐길 수 있다. 이러한 기능을 수행하기 위하여 상당한 성능의 MPU가 필요로 하게 된다. 본 논문에서는 이러한 조건을 만족시키기 위하여 Zoran의 G9Ellite라는 SOC를 채택하였다. 개발된 시스템을 테스트하기 위하여 현재 각 방송사들의 방송을 수신하고 요구된 기능을 테스트 하였다.

Recently, there is a rapidly growing demand for efficient real-tine playback and transmission of large amounts of multimedia data. But most users' connections are not fast enough to download large chunks of multimedia data. Therefore a streaming technology is needed in which users enable the real-time playback of multimedia date without having to download the whole of the multimedia date. In this paper, we propose a personalized IP streaming system. The proposed IP streaming system enables users to got an intelligent recommendation of multimedia contents based on the user preference information stored on the streaming server or the home media server. Moreover, users are assured of seamless access of streamed content event if they switch to another client device by implementing streaming system based on user identification and device information. We evaluate our approach with simulation results.

Due to the rapid popularization of mobile multimedia devices and the Internet as well as the realization of high-speed data transmission and large-volume data recording media, high quality content distribution and ubiquitous information services are making progress and a new type of information distribution and network sharing service has gradually emerged into the market. It is capable of utilizing terabyte sized home servers also in private homes. Under these circumstances, in distribution of content over shared networks, it is crucial to establish DRM (Digital Rights Management) technologies to protect the content from illegal copying and usage. A truly successful DRM system must be built on open worldwide specifications and provide maximum interoperability and user acceptance. An open interoperability of DRM is able to construct highly expandable PKI based DRM, targeting usage between systems, considering the expansion of recent content distribution services and clients This document gives protocol specifications for the exchange of rights information between the DRM module, description of specifications for rights information and encrypted content formats.

This paper proposes an algorithm and its data structure to support real-time full-text search for the streamed or broadcasted multimedia data containing real-time stenograph text. Since the traditional indexing method used at information retrieval area uses the linguistic information, there is a heavy cost. Therefore, we propose the algorithm and its data structure based on suffix array, which is a simple data structure and has low space complexity. Suffix array is useful frequently to search for huge text. However, subtitle text of multimedia data is to get longer by time. Therefore, suffix array must be reconstructed because subtitle text is continually changed. We propose the data structure called prefix array and search algorithm using it.

We proposes integrated information system, Service Robot Information System(SRIS), for mobile robot. The system has objectives that can heir efficient management and sharing as support information for mobile service robot like recognition, navigation, manipulation and modeling. This paper introduces the concert and architecture of SRIS. An Implementation is done by using ER based database and CAD modeling which is DXF format. The experimental shows the result of object and environment map matching by SLAM. This system is expected that can help reduce the cost and efforts of information management under multiple mobile robot environment.

In this paper, we find a robot's path using a Virtual Reality Modeling Language and overlay vision. For correct robot's path we describe a method for localizing a mobile robot in its working environment using a vision system and VRML. The robt identifies landmarks in the environment, using image processing and neural network pattern matching techniques, and then its performs self-positioning with a vision system based on a well-known localization algorithm. After the self-positioning procedure, the 2-D scene of the vision is overlaid with the VRML scene. This paper describes how to realize the self-positioning, and shows the overlap between the 2-D and VRML scenes. The method successfully defines a robot's path.

In this paper, we propose stable walking algorithm using ZMP for the biped robot in the slope-way. At first, we define discrete state variables that classified stable area and unstable area by center of mass from ZMP during slope-way walking. For the stable walking gait, the discrete state controller for determining the high-level and low-level decision making are designed. The high-level decision making is composed of the discrete state variables; left foot support phase, right foot support phase, flat-way, and slope-way. Then the continuous state controller is implemented for the low-level decision making using ZMP.

Cleaning robot that is selling in present city has various cleaning algorithm. However, error of most products happens on progress direction by small obstacle that do not properly and miss cleaning thereby happens. There is robot that correct own position, but is hard to use in general home because economical strain is very big because is high price product very. In this paper measures angular velocity of robot using deviation sensor, and do to correct error using turning angular velocity and vertical angular velocity. Because detailed cleaning such as high pice style is available without addition of expensive hardware in middle and low price style cleaning product thereby, can possess price competitive power.

The most important factor of mobile robot is to build a map for surrounding environment and estimate its localization. This paper proposes a real-time localization and map building method through 3-D reconstruction using scale invariant feature from monocular camera. Mobile robot attached monocular camera looking wall extracts scale invariant features in each image using SIFT(Scale Invariant Feature Transform) as it follows wall. Matching is carried out by the extracted features and matching feature map that is transformed into absolute coordinates using 3-D reconstruction of point and geometrical analysis of surrounding environment build, and store it map database. After finished feature map building, the robot finds some points matched with previous feature map and find its pose by affine parameter in real time. Position error of the proposed method was maximum. 8cm and angle error was within $10^{\circ}$.

Biped locomotion is a popular research area in robotics due to the high adaptability of a walking robot in an unstructured environment. When attempting to automate the motion planning process for a biped walking robot, one of the main issues is assurance of dynamic stability of motion. This can be categorized into three general groups: body stability, body path stability, and gait stability. A zero moment point (ZMP), a point where the total forces and moments acting on the robot are zero, is usually employed as a basic component for dynamically stable motion. In this rarer, learning based neuro-fuzzy systems have been developed and applied to model ZMP trajectory of a biped walking robot. As a result, we can provide more improved insight into physical walking mechanisms.

This paper aims to provide a way to improve dynamic stability of biped robots against undesirable disturbances and in a slope. By using an angular velocity sensor and an acceleration sensor on its waist, we can make a medium-sized biped robot walk stably in a slope against impulsive disturbances. In addition, it is possible for the robot to walk stably in an unknown slope. The measured signals from the sensor are used for compensating the reference angles of ankle, knee, and pelvis joints. Some experiments show that the stability of the robot is much enhanced by using cheat sensors and a simple algorithm. This work helps bided robots walk more stably in real environments.

This paper propose a localization method using color landmark that is applicable to mobile intelligent robot. The color landmarks are attached in the indoor ceiling. The world coordinate of robot is estimated by color patterns and the coordinates of landmarks. A landmark is composed of 4color and these 4 colors are sorted in a line. All of landmarks have a main color which indicates direction of robot. Other 3 colors are the combination of 5 kind of colors. The CCD camera is installed on the top of robot to observe the landmarks in the ceiling.

This paper deals with the implementation of a small humanoid robot controller on the basis of Real Time Operating System(RTOS) and the FPGA. This controller was adapted to the humanoid robot with 25 DOFs, which are 12 DOFs in each leg, 8 DOFs in each arm, 3 DOFs in waist, and 2 DOFs in head. The robot actuators were used DX-117 servo motors that have all of the controller components in one module in order to simplify the control structure. In addition, the main controller is FPGA of Virtex4-FX from Xilinx, and ported on VxWorks that is kind of RTOS. It is essential to install this RTOS on the complex control system and to do control activity at the multitasking environments. This paper suggested the method of distributing the computational load in the humanoid robot controller using the FPGA and RTOS concepts. All of the control process was verified through the real action of the humanoid.

An autonomous navigation technology for the mobile robot is investigated in this paper. The proposed robot path planning algorithm employs the dynamic programming to find the optimal path. The algorithm finds the global optimal path through the local computation on the environmental map. Since the robot computes the new path at every point, it can avoid the obstacle successfully during the navigation. The experimental results of the robot navigation are included in this paper.

A key component for autonomous mobile robot is to localize ifself. In this paper we suggest a vision-based localization and compensation of robot's location using ultrasound. Mobile robot travels along wall and searches each feature in indoor environment and transformed absolute coordinates of actuality environment using these points and builds a map. And we obtain information of the environment because mobile robot travels along wall. Localzation search robot's location candidate point by ultrasound and decide position among candidate point by features matching.

In this paper we analyze whether recent Radio Frequence Identification technology can be used to improve the localization of mobile robot and persons in their environment. In particular we study the problem of localizing RFID tags with a mobile platform that is equipped with a pair of RFID antennas. This system make use of power control because Tag with Reader distance measurement. We are accurately the low at former time than the environment. A distance measurement is rather correct. This system uses 900MHz Frequencies.

In this paper, Correct problem in dead reckoning system and proposed about position error revision techniques of mobile robot to use RFID tag for position awareness. With the dead reckoning system, as the accumulation of error are unavoidable because of accumulation of informations as the time passage, so it is impossible to get correct information about posture, including torrent direction, movement distance, etc. As one of compensation method, the suggested method is that after selecting special area (corridor), compensate absolute location information by arranging two line of RFID tag along two side of corridor. Through this suggested method, it could be used when robot wants to move in limited areas.

In this paper, we studied about AGVs modeling and material handling automation simulation using a virtual AGV. The proposed virtual AGV model that operates independently each other is based on a real AGV. Continuous straight-line and workstation model using vector drawing method that could easily, rapidly work system modeling are suggested. Centralized traffic control, which could collision avoidance in intersection and should not stop AGV as possible, and algorithm for detour routing which performs when another AGV is working in pre-routed path are proposed. The traffic control and the algorithm have been proved efficiently by simulation.

This study proposes the method to make a map of moving environment area and passed area by sensor using for recognizing environment or avoiding obstacle. We win develop an efficient algorithm to use sensors and get the data by the user friendly system. Through this system, we win study the way to know of the driving environment of moving robot on the long distance point. To this, we use only one ultra-sonic sensor with a servo motor which rotates 180 degree and loads an ultra-sonic sensor. A sensor can measure 1m${\sim}$8m range and a servo motor can distinguish 15 degree by 12 divide of 180 degree. By this feature of operating system, the robot which has these sensor module detects around of area and moves another point. In this way, users gather the data of detecting distance and change the data to X-Y coordinates. And users derive a map from these accumulate data.

This paper discusses the method of moving object detection for biped robot walking. Most researches on vision based object detection have mostly focused on fixed camera based algorithm itself. However, developing vision systems for biped walking robot is an important and urgent issue since hired walking robots are ultimately developed not only for researches but to be utilized in real life. In the research, method for moving object detection has been developed for task assignment and execution of biped robot as well as for human robot interaction (HRI) system. But these methods are not suitable to biped walking robot. So, we suggest the advanced method which is suitable to biped walking robot platform. For carrying out certain tasks, an object detecting system using modified optical flow algorithm by wireless vision camera is implemented in a biped walking robot.

기존에 연구되어온 리버서블 워터마킹 기법은 주로 군사영상이나 의료영상에 초점을 맞추어 개발 되어왔다. 본 논문에서 제안한 리버서블 워터마킹 기법은 일반사용자를 위한 서비스에도 사용가능하다. 즉 서비스 제공업자가 돈을 지불한 사람에게는 워터마크 추출기를 제공하여 좋은 화질의 영상을 사용할 수 있게 하고 돈을 지불하지 않은 사람에게는 워터마크가 삽입되어져 있는 저화질의 영상을 제공하는 것이다. 인터넷상에서는 JPEG 압축형태의 영상들이 많이 유통된다. 본 논문에서는 JPEG 압축데이터에 워터마크를 삽입하여 리버서블 워터마크를 수행한다. 사용된 알고리즘은 삽입영역을 선정하여 Shift기법을 이용하여 워터마크 삽입하고 추출하였다. 실험결과 256*256 lena 영상을 QF 10-99사이에서 1600-2900 비트가 삽입되었고 워터마크 검출 및 복원은 완벽하게 되었다.

The wide use of digital media during the past few years, has led to an increase of digital piracy and tampering. To deal with these problems, the concept of digital fingerprinting has been introduced. Digital fingerprinting is an effective method to identify users who might try to redistribute multimedia content. In this paper, we propose new digital image fingerprinting techniques using watermark shifting scheme and concept of domain.

Flat panel image display devices such as TFT LCD and PDP have required more large area and high quality control components. To control the qualities of the components, measurements of the flatness of a plate glass has been required. In order to measure the shape of the specular objects, Non-Contact Optical Sensor using Hologram laser unit was proposed. The sensor has a optical system that is composed of a Hologram laser and objective lens. The temperature of the sensor body is controlled by TEC(Thermoelectric Cooler) to maintain the same wavelength of the diode laser. In this research, we proposed the calibration scheme to make sensor real time measuring sensor. From the experimental results we see that the proposed sensor unit can measure the position of the glass surface in rial time.

This paper describes a monocular PSD-based motion capture sensor to employ with commercial video game systems such as Microsoft's XBOX and Sony's Playstation II. The system compact, low-cost, and only requires a one-time calibration at the factory. The system includes a PSD(Position Sensitive Detector) and active infrared (IR) LED markers that are placed on the object to be tracked. The PSD sensor is placed in the focal plane of a wide-angle lens. The micro-controller calculates the 3D position of the markers using only the measured intensity and 2D position on the PSD. A series of experiments were performed to evaluate the performance of our prototype system. From the experimental results we see that the proposed system's compact size, low-cost, ease of installation, and high frame rates are suitable for high speed motion tracking in games.

Generally, LPF(low pass filter) circuits are used for converting square wave to average value, but these are not used necessary for average value of square wave in real time because of time constant of LPF. This paper deals with acquiring method for average value of square wave in real tine in case of frequency of output voltage is fixed, waveform of output voltage is square wave and duty of output voltage is varied like as 1 quadrant or 4 quadrant chopper.

Recently, many on-line approaches to instrument channel surveillance (drift monitoring and fault detection) have been reported worldwide. On-line monitoring (OLM) method evaluates instrument channel performance by assessing its consistency with other plant indications through parametric or non-parametric models. The heart of an OLM system is the model giving an estimate of the true process parameter value against individual measurements. This model gives process parameter estimate calculated as a function of other plant measurements which can be used to identify small sensor drifts that would require the sensor to be manually calibrated or replaced. This paper describes an improvement of auto-associative kernel regression by introducing a correlation coefficient weighting on kernel distances. The prediction performance of the developed method is compared with conventional auto-associative kernel regression.

The differential pressure method has been used in the level measurement of steam generator in nuclear power plant. Two sensing lines from a steam generator to a pressure transmitter are needed to measure the high pressure and low pressure. The fluid conditions in the sensing line require the uniform phase with no bubbles and the slope of sensing line should be installed with forward slope. The expansion of the bubble volume according to the upper pressure and the reverse slope of sensing lines explain how the level errors took place.

In this thesis, we propose a algorithm that is able to detect a user's motion. A minute noise of accelerometer arises cumulative error in case of converting velocity and distance, which makes it difficult to detect movement of sensor. We use a lowpass filter, ALS algorithm, and motion detection block to minimize such cumulative error. we experiment using a motion-detective module which is composed of accelerometer, micro-controller, and serial interface. Our scheme is capable of detecting such as up, down, left, right, forward, and backward movement of the module. It is expected that our scheme is applied to a game controller or user interface of a next generation PC.

In this paper, we propose an artificial intelligence method to compensate the nonlinearity error which occurs in the heterodyne laser interferometer. Some superior properties such as long measurement range, ultra-precise resolution and various system set-up lead the laser interferometer to be a practical displacement measurement apparatus in various industry and research area. In ultra-precise measurement such as nanometer or subnanometer scale, however, the accuracy is limited by the nonlinearity error caused by the optical parts. The feedforward neural network trained by back-propagation with a capacitive sensor as a reference signal minimizes the nonlinearity error and we demonstrate the effectiveness of our proppsed algorithm through some experimental results.

Some abnormal signals diagnostics and analysis through an important equivalent circuits modeling for passive elements under severe accident conditions have been performed. Unlike the design basis accidents, there are inherently some uncertainties in the instrumentation capabilities under the accident conditions. So, the circuit simulation analysis and diagnosis methods are used to assess instruments in detail when they give apparently abnormal readings as an accident alternative method. The simulations can be useful to investigate what the signal and circuit characteristics would be when similar to a variety of symptoms that can result from the environmental conditions such as high temperature, humidity, and pressure condition. In this paper, a new simulator through an analysis of the important equivalent circuits modeling under temperature accident conditions has been designed, the designed simulator is composed of the LabVIEW code as a main tool and the out-put file of the Multi-SIM code as an engine tool is exported to in-put file of the LabVIEW code. The procedure for the simulator design was divided into two design steps, of which the first step was the diagnosis method, the second step was the circuit simulator for the signal processing tool. It has three main functions which are a signal processing tool, an accident management tool, and an additional guide from the initial screen. This simulator should be possible that it could be applied a output signal analysis to some transient signal by variation of the resistance passive elements in the R-L-C equivalent circuit modeling under various degraded conditions in NPPs.

To reduce inference of any power delivery failures in underground power cable, power system operators are trying to find effective way of finding fault location as soon as possible. But it is very difficult to find fault location exactly for underground power cable. We are developing fault location system for underground power cable which can detect its fault location exactly. This new system monitors current and voltage of underground power cable by using low voltage and current sensors and if there are any accidents, it records its transient signal. Fault location is calculated by analyzing recorded signal. To develop fault location system for power cable, we needed fault simulation system and we installed it physically and tested. In this rapers, we describe on describe of fault location system for underground power cable.

This paper describes a 8bit 10MS/s low power pipelined analog-to-digital converter(ADC). To reduce power consumption in proposed ADC, a high gain op-amp that consumes large power in MDAC(multiplying DAC) of conventional pipelined ADC is replaced with simple comparator and current sources. Moreover, differential charge transfer amplifier technique with latch in the sub-ADC reduces the power consumption to less than half compared with the conventional sub-ADC which use high speed comparator. The proposed ADC shows the power consumption of 1.8mW at supply voltage of 1.8V. This proposed ADC is suitable to apply to the portable display device. The circuit was implemented with 0.18um CMOS technology and the core size of circuit is 2.5mm${\times}$1mm.

This paper describes a CMOS sub-bandgap reference using Pseudo-Resistors which can be widely used in flash memory, DRAM, ADC and Power management circuits. Bandgap reference circuit operates weak inversion for reducing power consumption and uses Pseudo-Resistors for reducing the chip area, instead of big resistor. It is implemented in 0.35um Standard 1P4M CMOS process. The temperature coefficient is 5ppm/$^{\circ}C$ from $40^{\circ}C$ to $100^{\circ}C$ and minimum power supply voltage is 1.2V The core area is 1177um${\times}$617um. Total current is below 2.8uA and output voltage is 0.598V at $27^{\circ}C$.