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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
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Journal of Institute of Control, Robotics and Systems
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Journal DOI :
Institute of Control, Robotics and Systems
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Volume & Issues
Volume 18, Issue 12 - Dec 2012
Volume 18, Issue 11 - Nov 2012
Volume 18, Issue 10 - Oct 2012
Volume 18, Issue 9 - Sep 2012
Volume 18, Issue 8 - Aug 2012
Volume 18, Issue 7 - Jul 2012
Volume 18, Issue 6 - Jun 2012
Volume 18, Issue 5 - May 2012
Volume 18, Issue 4 - Apr 2012
Volume 18, Issue 3 - Mar 2012
Volume 18, Issue 2 - Feb 2012
Volume 18, Issue 1 - Jan 2012
Selecting the target year
Long-Term GPS Satellite Orbit Prediction Scheme with Virtual Planet Perturbation
Yoo, Seungsoo ; Lee, Junghyuck ; Han, Jin Hee ; Jee, Gyu-In ; Kim, Sun Yong ;
Journal of Institute of Control, Robotics and Systems, volume 18, issue 11, 2012, Pages 989~996
DOI : 10.5302/J.ICROS.2012.18.11.989
The purpose of this paper is to analyze GPS (Global Positioning System) satellite orbital mechanics, and then to propose a novel long-term GPS satellite orbit prediction scheme including virtual planet perturbation. The GPS orbital information is a necessary prerequisite to pinpointing the location of a GPS receiver. When a GPS receiver has been shut down for a long time, however, the time needed to fix it before its reuse is too long due to the long-standing GPS orbital information. To overcome this problem, the GPS orbital mechanics was studied, such as Newton`s equation of motion for the GPS satellite, including the non-spherical Earth effect, the luni-solar attraction, and residual perturbations. The residual perturbations are modeled as a virtual planet using the least-square algorithm for a moment. Through the modeling of the virtual planet with the aforementioned orbital mechanics, a novel GPS orbit prediction scheme is proposed. The numerical results showed that the prediction error was dramatically reduced after the inclusion of virtual planet perturbation.
Big Data Analysis of Software Performance Trend using SPC with Flexible Moving Window and Fuzzy Theory
Lee, Dong-Hun ; Park, Jong-Jin ;
Journal of Institute of Control, Robotics and Systems, volume 18, issue 11, 2012, Pages 997~1004
DOI : 10.5302/J.ICROS.2012.18.11.997
In enterprise software projects, performance issues have become more critical during recent decades. While developing software products, many performance tests are executed in the earlier development phase against the newly added code pieces to detect possible performance regressions. In our previous research, we introduced the framework to enable automated performance anomaly detection and reduce the analysis overhead for identifying the root causes, and showed Statistical Process Control (SPC) can be successfully applied to anomaly detection. In this paper, we explain the special performance trend in which the existing anomaly detection system can hardly detect the noticeable performance change especially when a performance regression is introduced and recovered again a while later. Within the fixed number of sampling period, the fluctuation gets aggravated and the lower and upper control limit get relaxed so that sometimes the existing system hardly detect the noticeable performance change. To resolve the issue, we apply dynamically tuned sampling window size based on the performance trend, and Fuzzy theory to find an appropriate size of the moving window.
A Study on the Performance Improvement of Incomplete Fingerprint Classification using an Adaptive Core Block Based on Markov Models
Jung, Hye-Wuk ; Lee, Jee-Hyong ;
Journal of Institute of Control, Robotics and Systems, volume 18, issue 11, 2012, Pages 1005~1010
DOI : 10.5302/J.ICROS.2012.18.11.1005
We propose a novel approach to classify fingerprints using the extracted adaptive core block for improving classification performance of incomplete fingerprints in this paper. We compute representative directions from fingerprint images by the block unit and learn horizontal and vertical Markov models by deciding the center position of a fingerprint image based on the expert knowledge. The center block of a test image is the block has the highest probability after comparing the Markov model with
blocks. The proposed approach can effectively classify incomplete fingerprints using the optimal center block.
Estimation of the User`s Location/Posture for Mobile Augmented Reality
Kim, Jooyoung ; Lee, Sooyong ;
Journal of Institute of Control, Robotics and Systems, volume 18, issue 11, 2012, Pages 1011~1017
DOI : 10.5302/J.ICROS.2012.18.11.1011
Augmented Reality is being widely used not only for Smartphone users but also in industries such as maintenance, construction area. With smartphone, due to the low localization accuracy and the requirement of special infrastructure, current LBS (Localization Based Service) is limited to show P.O.I. (Point of Interest) nearby. Improvement of IMU (Inertial Measurement Unit) based deadreckoning is presented in this paper. Additional sensors such as the magnetic compass and magnetic flux sensors are used as well as the accelerometer and the gyro for getting more movement information. Based on the pedestrian movement, appropriate sensor information is selected and the complementary filter is used in order to enhance the accuracy of the localization. Additional sensors are used to measure the movements of the upper body and the head and to provide the user`s line of sight.
Development of Smart Fingerprint Recognition System with Android Platform
Lee, Kap Rai ;
Journal of Institute of Control, Robotics and Systems, volume 18, issue 11, 2012, Pages 1018~1026
DOI : 10.5302/J.ICROS.2012.18.11.1018
This paper presents a developing method of smart fingerprint recognition system. First, we design a hardware configuration circuit using a 32bit Risc CPU, a fingerprint sensor, a LCD, and a WiFi communication chip to realize the smart fingerprint recognition systems. It is necessary to develop a JNI (Java Native Interface) library and a device drive program of fingerprint sense to develop application program of fingerprint recognition system with Android platform. Thus second, we develop a device drive and a JNI program. And we also develop an application program of fingerprint recognition systems using developed JNI library. Finally test results are presented to illustrate the performance of the developed smart fingerprint recognition system.
A Multi-Agent Improved Semantic Similarity Matching Algorithm Based on Ontology Tree
Gao, Qian ; Cho, Young-Im ;
Journal of Institute of Control, Robotics and Systems, volume 18, issue 11, 2012, Pages 1027~1033
DOI : 10.5302/J.ICROS.2012.18.11.1027
Semantic-based information retrieval techniques understand the meanings of the concepts that users specify in their queries, but the traditional semantic matching methods based on the ontology tree have three weaknesses which may lead to many false matches, causing the falling precision. In order to improve the matching precision and the recall of the information retrieval, this paper proposes a multi-agent improved semantic similarity matching algorithm based on the ontology tree, which can avoid the considerable computation redundancies and mismatching during the entire matching process. The results of the experiments performed on our algorithm show improvements in precision and recall compared with the information retrieval techniques based on the traditional semantic similarity matching methods.
GNSS Precise Positioning Design for Intelligent Transportation System
Lee, Byung-Hyun ; Im, Sung-Hyuck ; Heo, Moon-Beom ; Jee, Gyu-In ;
Journal of Institute of Control, Robotics and Systems, volume 18, issue 11, 2012, Pages 1034~1039
DOI : 10.5302/J.ICROS.2012.18.11.1034
In this paper, a structure of precise positioning based on satellite navigation system is proposed. The proposed system is consisted with three parts, range domain filter, navigation filter and position domain filter. The range domain filter generates carrier phase-smoothed-Doppler and Doppler-smoothed-code measurements. And the navigation filter calculates position and velocity using double-differenced code/carrier phase/Doppler measurements. Finally, position domain filter smooth position error, and it means enhancement of positioning performance. The proposed positioning method is evaluated by trajectory analysis using precise map date. As a result, the position error occurred by multipath or cycle slip was reduced and the calculated trajectory was in true lane.
Networked Control System Using RTT Measurement over USN
Yi, Hyun-Chul ; Kim, Yu-Jong ; Choi, Joon-Young ;
Journal of Institute of Control, Robotics and Systems, volume 18, issue 11, 2012, Pages 1040~1044
DOI : 10.5302/J.ICROS.2012.18.11.1040
We design a NCS (Networked Control System) where the communication between sensors and controllers takes place over a USN (Ubiquitous Sensor Network). In order to measure time delays between sensors and controllers in real time, we design an algorithm to measure RTT (Round Trip Time) between USN nodes, and implement it into TinyOS of USN. By using the measured time delays, we construct the Smith predictor to compensate the time delays between sensors and controllers in real-time. For the real time experiment, we simulate the dynamic plant model, controller, and USN interface using Real-Time Windows Target provided in MATLAB. The USN interface in the Simulink model consists of serial ports, which connect the plant output and controller with USN nodes. The experiment results show that the time delays between sensors and controllers are precisely measured in real time; the Smith predictor appropriately compensates the time delays; and the stability is achieved in the closed-loop of the NCS.
Design of Routing Algorithm for SDDC BAS
Kim, Jeong-Uk ; Boo, Chang-Jin ; Lee, Yongho ; Choi, Yunki ; Joung, Jinoo ; Kim, Ho-Chan ;
Journal of Institute of Control, Robotics and Systems, volume 18, issue 11, 2012, Pages 1045~1050
DOI : 10.5302/J.ICROS.2012.18.11.1045
In this paper, we propose an effective routing protocol that can be particularly applied to SDDC (Sangmyung Direct Digital Controller) BAS. We have used NS (Network Simulator)-2 to simulate the real building for SDDC BAS. The static, session, DV (Distance Vector), and LS (Link State) algorithms are used and the protocols for performance comparison and evaluation are compared with respect to end to end delay, throughput, and routing overhead. The simulation results show that the DV algorithm is effective for SDDC BAS.
Design of Lateral Controller for Automatic Valet Parking and Its Performance Analysis with Respect to Vehicle Types
Choi, Heejae ; Song, Bongsob ;
Journal of Institute of Control, Robotics and Systems, volume 18, issue 11, 2012, Pages 1051~1058
DOI : 10.5302/J.ICROS.2012.18.11.1051
The unified lateral control algorithm for automatic valet parking for various types of vehicles is presented and its feasibility is shown experimentally via field tests for the given parking scenario. First, a trajectory generation algorithm for forward driving and backward multi-step parking maneuvers is developed. Then, with consideration of different types of vehicles and operating conditions, a kinematic vehicle model is used and validated using field test data. Using the nonlinear vehicle model, the lateral controller is designed based on dynamic surface control. Finally the proposed lateral control law is validated via hardware-in-the-loop simulations for different types of vehicles and experimentally using a test vehicle through field tests.
Comparison of Application Effect of Natural Language Processing Techniques for Information Retrieval
Xi, Su Mei ; Cho, Young Im ;
Journal of Institute of Control, Robotics and Systems, volume 18, issue 11, 2012, Pages 1059~1064
DOI : 10.5302/J.ICROS.2012.18.11.1059
In this paper, some applications of natural language processing techniques for information retrieval have been introduced, but the results are known not to be satisfied. In order to find the roles of some classical natural language processing techniques in information retrieval and to find which one is better we compared the effects with the various natural language techniques for information retrieval precision, and the experiment results show that basic natural language processing techniques with small calculated consumption and simple implementation help a small for information retrieval. Senior high complexity of natural language processing techniques with high calculated consumption and low precision can not help the information retrieval precision even harmful to it, so the role of natural language understanding may be larger in the question answering system, automatic abstract and information extraction.
Method for Maneuver Monitoring with Vehicle Trajectory Reconstruction
Heo, Geun Sub ; Lee, Sang Ryong ; Shin, Jin-Ho ; Lee, Choon-Young ;
Journal of Institute of Control, Robotics and Systems, volume 18, issue 11, 2012, Pages 1065~1071
DOI : 10.5302/J.ICROS.2012.18.11.1065
In this paper, we proposed a method for vehicle monitoring with trajectory reconstruction. For safety, it is important to monitor the driving habit of driver. Every year, many accidents occur due to the reckless driving of the driver. Continuous monitoring of the status of commercial vehicles is needed for safety through the entire path from start point to the destination. To monitor the reckless driving, we try to monitor the trajectory of the vehicle by using vehicle`s lateral acceleration data. Compared with steering angle and lateral acceleration, these resemble each other. So, we find the relationship of steering angle and acceleration, and find the global direction of vehicle. We find the position of non-GPS section with EKF (External Kalman Filter) and reconstruct the whole trajectory during vehicle driving.