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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
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Journal of Korean Institute of Intelligent Systems
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Korean Institute of Intelligent Systems
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Volume & Issues
Volume 21, Issue 6 - Dec 2011
Volume 21, Issue 5 - Oct 2011
Volume 21, Issue 4 - Aug 2011
Volume 21, Issue 3 - Jun 2011
Volume 21, Issue 2 - Apr 2011
Volume 21, Issue 1 - Feb 2011
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Development of Home Electrical Power Monitoring System and Device Identification Algorithm
Park, Sung-Wook ; Seo, Jin-Soo ; Wang, Bo-Hyeun ;
Journal of Korean Institute of Intelligent Systems, volume 21, issue 4, 2011, Pages 407~413
DOI : 10.5391/JKIIS.2011.21.4.407
This paper presents an electrical power monitoring system for home energy management and an automatic appliance-identification algorithm based on the electricity-usage patterns collected during the monitoring tests. This paper also discusses the results of the field tests of which the proposed system was voluntarily deployed at 13 homes. The proposed monitoring system periodically measures the amount of power consumption of each appliance with a pre-specified time interval and effectively displays the essential information provided by the monitored data which is required users to know in order to save power consumption. Regarding the field tests of the monitoring system, the households responded that the system was useful in saving electricity and especially the electricity-usage patterns per appliances. They also considered that the predicted amount of the monthly power consumption was effective. The proposed appliance-identification algorithm uses 4 patterns: Zero-Crossing Rate(ZC), Variation of On State(VO), Slope of On State(SO) and Duty Cycle(DC), which are applied over the 2 hour interval with 25% of it on state, and it yielded 82.1% of success rate in identifying 5 kinds of appliances: refrigerator, TV, electric rice-cooker, kimchi-refrigerator and washing machine.
A Case Study on the Types of Queries` Relations for Recognizing User intention
Kwon, Soon-Jin ; Kim, Won-Il ; Yoo, Seong-Joon ;
Journal of Korean Institute of Intelligent Systems, volume 21, issue 4, 2011, Pages 414~422
DOI : 10.5391/JKIIS.2011.21.4.414
IR (Information Retrieval) systems have the methods that compare relationships between query and index to identify document that may be fit to the user`s query keyword. However, the methods usually ignore the importance of relations that are not expressed in the query. Therefore, in this study, we describe how to refine the queries` relation from keyword and to reveal the hidden intent. A useful relationship between query and keyword in IR wth studied and we classified the tion fromrelation. Firstfromall, we did researchmrelated on semantic relationship and ontolhiical researchmin foreign and domestic research, and also analyzed semantic network practices, information retrieval technolhiy, extracted and classified the tion fromrelationships s` relasite`s real-world datamin whichminformation retrieval technolhiin fare applied. Next, we souiht to solve the problems occurred frequently i` relasituation that searchers tioically face. I` relacurrent search technolhiy, the mesh searchmresult fare poured by simply comparn ina query with index terms. Therefore, the need for an intelligent search fittn inusers` intent is required. The relationships between two queries to re hiddee and identify relasearcher`s intent have to be revealed. By analyzn inthe practical cthes s` queries and classifyn inthem into nine kind fromrelationship tion, we proposed the method to design relation revealn inand role namn i, and we have also illustrated limitations of that methods.
Observer-based decentralized fuzzy controller design of nonlinear interconnected system for PEMFC
Koo, Geun-Bum ; Park, Jin-Bae ; Joo, Young-Hoon ;
Journal of Korean Institute of Intelligent Systems, volume 21, issue 4, 2011, Pages 423~429
DOI : 10.5391/JKIIS.2011.21.4.423
This paper deals with the observer-based decentralized fuzzy controller design for nonlinear interconnected system for PEMFC. The nonlinear interconnected system is represented by a Takagi-Sugeno (T-S) fuzzy model. Based on T-S fuzzy interconnected system, the fuzzy observer and the decentralized fuzzy controller are designed. The stability condition of the closed-loop system with the proposed controller is represented to the linear matrix inequality (LMI) form, and the observer and control gain s are obtained by LMI. An example is given to show the verification discussed throughout the paper.
Navigation of Unmanned Vehicle Using Relative Localization and Magnetic Guidance
Lee, Yong-Jun ; Ryoo, Young-Jae ;
Journal of Korean Institute of Intelligent Systems, volume 21, issue 4, 2011, Pages 430~435
DOI : 10.5391/JKIIS.2011.21.4.430
In this paper, a navigation technology of an unmanned vehicle using relative localization and magnetic guidance is proposed. Magnetic guidance system had been developed as a robust autonomous driving technology as long as magnetic fields on the path are detected. Otherwise, if magnetic fields were not detected due to some reasons, the vehicle could not drive. Therefore, in order to overcome the drawback, we propose that relative localization would be combined to magnetic guidance system. To validate the usefulness of the proposed method, a robotic vehicle was set up with the magnetic guidance system and the relative localization. In addition, the unmanned driving test was realized on the road without the magnetic fields so that the proposed method is verified by the experiment.
Interference Suppression Based on Switching Beamforming for TPMS
Park, Cheol ; Kim, Seong-Min ; Hwang, Suk-Seung ;
Journal of Korean Institute of Intelligent Systems, volume 21, issue 4, 2011, Pages 436~441
DOI : 10.5391/JKIIS.2011.21.4.436
A TPMS is a wireless communication system designed to monitor its condition inside the pneumatic tires on various types of vehicles. These systems report the tire pressure information to the driver of the vehicle. While wireless communications is used to transmit the measurement data from TPMS sensors to a central processing unit in the vehicle, it suffers from the various interferences such as sensors of each tire or outside electrical equipments. Based on the conventional beamformer, a switching beamforming technique is proposed to minimize the interference and efficiently receive valid data. Moreover, in order to minimize the interference and reduce power consumption for communication, a system with unique Gold Code is presented for each tire. The performance of interference suppression is illustrated by computer simulations.
A Study on Fisheye Lens based Features on the Ceiling for Self-Localization
Choi, Chul-Hee ; Choi, Byung-Jae ;
Journal of Korean Institute of Intelligent Systems, volume 21, issue 4, 2011, Pages 442~448
DOI : 10.5391/JKIIS.2011.21.4.442
There are many research results about a self-localization technique of mobile robot. In this paper we present a self-localization technique based on the features of ceiling vision using a fisheye lens. The features obtained by SIFT(Scale Invariant Feature Transform) can be used to be matched between the previous image and the current image and then its optimal function is derived. The fisheye lens causes some distortion on its images naturally. So it must be calibrated by some algorithm. We here propose some methods for calibration of distorted images and design of a geometric fitness model. The proposed method is applied to laboratory and aile environment. We show its feasibility at some indoor environment.
Design of a Time-delay Compensator Using Neural Network In a Tele-operation System
Choi, Ho-Jin ; Jung, Seul ;
Journal of Korean Institute of Intelligent Systems, volume 21, issue 4, 2011, Pages 449~455
DOI : 10.5391/JKIIS.2011.21.4.449
In this paper, a time-delay problem of a tele-operated control system is investigated and compensated by neural network. The smith predictor requires an exact system model to deal with a time-delay in the system. To compensate for modeling errors in the configuration of the Smith predictor, a neural network approach is presented. Based on forming the Smith predictor structure, the radial basis function(RBF) neural network estimator is used. Simulation and experimental studies are conducted to show the functionality of the proposed method.
Design and Development of an EHR Platform Based on Medical Informatics Standards
Kim, Hwa-Sun ; Cho, Hune ; Lee, In-Keun ;
Journal of Korean Institute of Intelligent Systems, volume 21, issue 4, 2011, Pages 456~462
DOI : 10.5391/JKIIS.2011.21.4.456
As the ARRA enacted recently in the United States, the interest in EHR systems have been increased in the field of medical industry. The passage of the ARRA presents a program that provides incentives to office-based physicians and hospitals adapting the EHR systems to guarantee interoperability with various medical standards. Thanks to the incentive program, a great number of EHR systems have been developed and lots of office-based physicians and hospitals have adapted the EHR systems certified by CCHIT. Keeping pace with the rapid changes in the market of healthcare, some enterprises try to push in to the United States healthcare market based on the experience acquired by developing EHR systems for hospitals in Korea. However, the developed system must be customized because of the different medical environment between Korea and the United States. In this paper, therefore, we design and develop an integrated EHR platform to guarantee the interoperability between different medical information systems based on medical standard technologies. In the developed platform, an integrated system has been composed by integrating various basic techniques such as data transmission standards and its methods, medical standard terminologies and its usage, and knowledge management for medical decision-making support. Moreover, medical data can be processed electronically by adapting an HL7 interface engine and the terminologies for exchanging medical information and the standardization of medical information. We develop SeniCare, an EHR system for supporting ambulatory care of the office-based physicians, based on the platform, and we verify the usability of the platform by confirming whether SeniCare satisfies the criteria of "meaningful use" issued by CMS or not.
Context Prediction based on Sequence Matching for Contexts with Discrete Attribute
Choi, Young-Hwan ; Lee, Sang-Yong ;
Journal of Korean Institute of Intelligent Systems, volume 21, issue 4, 2011, Pages 463~468
DOI : 10.5391/JKIIS.2011.21.4.463
Context prediction methods have been developed in two ways - one is a prediction for discrete context and the other is for continuous context. As most of the prediction methods have been used with prediction algorithms in specific domains suitable to the environment and characteristics of contexts, it is difficult to conduct a prediction for a user`s context which is based on various environments and characteristics. This study suggests a context prediction method available for both discrete and continuous contexts without being limited to the characteristics of a specific domain or context. For this, we conducted a context prediction based on sequence matching by generating sequences from contexts in consideration of association rules between context attributes and by applying variable weights according to each context attribute. Simulations for discrete and continuous contexts were conducted to evaluate proposed methods and the results showed that the methods produced a similar performance to existing prediction methods with a prediction accuracy of 80.12% in discrete context and 81.43% in continuous context.
Intelligent Maneuvering Target Tracking Based on Noise Separation
Son, Hyun-Seung ; Park, Jin-Bae ; Joo, Young-Hoon ;
Journal of Korean Institute of Intelligent Systems, volume 21, issue 4, 2011, Pages 469~474
DOI : 10.5391/JKIIS.2011.21.4.469
This paper presents the intelligent tracking method for maneuvering target using the positional error compensation of the maneuvering target. The difference between measured point and predict point is separated into acceleration and noise. K-means clustering and TS fuzzy system are used to get the optimal acceleration value. The membership function is determined for acceleration and noise which are divided by K-means clustering and the characteristics of the maneuvering target is figured out. Divided acceleration and noise are used in the tracking algorithm to compensate computational error. While calculating expected value, the non-linearity of the maneuvering target is recognized as linear one by dividing acceleration and the capability of Kalman filter is kept in the filtering process. The error for the non-linearity is compensated by approximated acceleration. The proposed system improves the adaptiveness and the robustness by adjusting the parameters in the membership function of fuzzy system. Procedures of the proposed algorithm can be implemented as an on-line system. Finally, some examples are provided to show the effectiveness of the proposed algorithm.
Recursive Probabilistic Approach to Collision Risk Assessment for Pedestrians` Safety
Park, Seong-Keun ; Kim, Beom-Seong ; Kim, Eun-Tai ; Lee, Hee-Jin ; Kang, Hyung-Jin ;
Journal of Korean Institute of Intelligent Systems, volume 21, issue 4, 2011, Pages 475~480
DOI : 10.5391/JKIIS.2011.21.4.475
In this paper, we propose a collision risk assesment system. First, using Kalman Filter, we estimate the information of pedestrian, and second, we compute the collision probability using Monte Carlo Simulations(MCS) and neural network(NN). And we update the collision risk using time history which is called belief. Belief update consider not only output of Kalman Filter of only current time step but also output of Kalman Filter up to the first time step to current time step. The computer simulations will be shown the validity of our proposed method.
Presentation Control System using Gesture Recognition and Sensor
Chang, Moon-Soo ; Kwak, Sun-Dong ; Kang, Sun-Mee ;
Journal of Korean Institute of Intelligent Systems, volume 21, issue 4, 2011, Pages 481~486
DOI : 10.5391/JKIIS.2011.21.4.481
Recently, most presentations have been presented on the screen using the computer. This paper suggests that the computer can be controlled by the gesturing recognition, without the help of any person or tools. If we use only information in the form of images, we should have a high-resolution camera for capturing the images and a computer that can treat high-resolution images. However, this paper will present a solution whereby a low-resolution camera can be used at the stage. It uses the supersonic sensor to trace the presenter`s location and a low-resolution camera for capturing the necessary limited and small area. The gesture is defined by the number of fingers and one`s hand positions which are recognized by the Erosion / Dilation and Subtraction algorithm. The system this paper addresses has improved 13%, when comparing tests between the image-only data system and this paper`s system. The gesture recognition tests have a 98% success rate.
Design of Nearest Prototype Classifier by using Differential Evolutionary Algorithm
Roh, Seok-Beom ; Ahn, Tae-Chon ;
Journal of Korean Institute of Intelligent Systems, volume 21, issue 4, 2011, Pages 487~492
DOI : 10.5391/JKIIS.2011.21.4.487
In this paper, we proposed a new design methodology to improve the classification performance of the Nearest Prototype Classifier which is one of the simplest classification algorithm. To optimize the position vectors of the prototypes in the nearest prototype classifier, we use the differential evolutionary algorithm. The optimized position vectors of the prototypes result in the improvement of the classification performance. The new method to determine the class labels of the prototypes, which are defined by the differential evolutionary algorithm, is proposed. In addition, the experimental application covers a comparative analysis including several previously commonly encountered methods.
GraphSLAM Improved by Removing Measurement Outliers
Kim, Ryun-Seok ; Choi, Hyuk-Doo ; Kim, Eun-Tai ;
Journal of Korean Institute of Intelligent Systems, volume 21, issue 4, 2011, Pages 493~498
DOI : 10.5391/JKIIS.2011.21.4.493
This paper presents the GraphSLAM improved by selecting the measurement with respect to their likelihoods. GraphSLAM estimates the robot`s path and map by utilizing the entire history of input data. However, GraphSLAM`s performance suffers a lot from severely noisy measurements. In this paper, we present GraphSLAM improved by the selective measurement method. Thus the presented GraphSLAM provides higher performance compared with the standard GraphSLAM.
Adaptive Fuzzy Sliding Mode Control for Nonlinear Systems without Parameter Projection Method
Seo, Sam-Jun ;
Journal of Korean Institute of Intelligent Systems, volume 21, issue 4, 2011, Pages 499~505
DOI : 10.5391/JKIIS.2011.21.4.499
In this paper, we proposed an adaptive fuzzy sliding mode control for nonlinear systems without parameter projection method. By modifying the controller structure, the parameters of the estimated input gain function are guaranteed not being identically zero and it is shown that the control scheme will not cause any implementation problem even if the estimated value of input gain function is zero at any moment during on-line operations. Except for the input gain function which an approximate estimate for its lower bound is needed, the proposed control scheme does not assume a priori the exact values of the bounding parameters. Based on Lyapunov synthesis methods, the overall control system guarantees that the tracking error asymptotically converges to zero and that all signals involved in controller are uniformly bounded. This can be illustrated by the simulation results for an inverted pendulum system.
A Note on the Fuzzy Linear Maps
Kim, Chang-Bum ;
Journal of Korean Institute of Intelligent Systems, volume 21, issue 4, 2011, Pages 506~511
DOI : 10.5391/JKIIS.2011.21.4.506
In this paper we investigate some situations in connection with two exact sequences of fuzzy linear maps. Also we obtain a generalization of the work [Theorem4] of Pan , and we study the analogies of The Four Lemma and The Five Lemma of homological algebra. Finally we obtain a special exact sequence.
Optimal Facial Emotion Feature Analysis Method based on ASM-LK Optical Flow
Ko, Kwang-Eun ; Park, Seung-Min ; Park, Jun-Heong ; Sim, Kwee-Bo ;
Journal of Korean Institute of Intelligent Systems, volume 21, issue 4, 2011, Pages 512~517
DOI : 10.5391/JKIIS.2011.21.4.512
In this paper, we propose an Active Shape Model (ASM) and Lucas-Kanade (LK) optical flow-based feature extraction and analysis method for analyzing the emotional features from facial images. Considering the facial emotion feature regions are described by Facial Action Coding System, we construct the feature-related shape models based on the combination of landmarks and extract the LK optical flow vectors at each landmarks based on the centre pixels of motion vector window. The facial emotion features are modelled by the combination of the optical flow vectors and the emotional states of facial image can be estimated by the probabilistic estimation technique, such as Bayesian classifier. Also, we extract the optimal emotional features that are considered the high correlation between feature points and emotional states by using common spatial pattern (CSP) analysis in order to improvise the operational efficiency and accuracy of emotional feature extraction process.
Fuzzy Inference System for Data Calibration of Gyroscope Free Inertial Navigation System
Kim, Jae-Yong ; Kim, Jung-Min ; Woo, Seung-Beom ; Kim, Sung-Shin ;
Journal of Korean Institute of Intelligent Systems, volume 21, issue 4, 2011, Pages 518~524
DOI : 10.5391/JKIIS.2011.21.4.518
This paper presents a study on the calibration of accelerometer data in the gyroscope free inertial navigation system(GFINS) using fuzzy inference system(FIS). The conventional INS(inertial navigation system) which can measure yaw rate and linear velocity using inertial sensors as the gyroscope and accelerometer. However, the INS is difficult to design as small size and low power because it uses the gyroscope. To solve the problem, the GFINS which does not have the gyroscope have been studied actively. However, the GFINS has cumulative error problem still. Hence, this paper proposes Fuzzy-GFINS which can calibrate the data of an accelerometer using FIS consists of two inputs that are ratio between linear velocity of the autonomous ground vehicle(AGV) and the accelerometer and ratio between linear velocity of the encoders and the accelerometer. To evaluate the proposed Fuzzy-GFINS, we made the AGV with Mecanum wheels and applied the proposed Fuzzy-GFINS. In experimental result, we verified that the proposed method can calibrate effectively data of the accelerometer in the GFINS.
Interval-Valued Fuzzy Almost α-Continuous Mappings
Min, Won-Keun ;
Journal of Korean Institute of Intelligent Systems, volume 21, issue 4, 2011, Pages 525~529
DOI : 10.5391/JKIIS.2011.21.4.525
We introduce the concept of IVF almost
-continuity and investigate characterizations for such mappings on the interval-valued fuzzy topological spaces. We study the relationships between IVF almost
-continuous mappings and another types of IVF continuous mappings.
Design of an Auto-Tuning IMC-PID Controller for a Heater System Using uDEAS
Kim, Man-Seok ; Kim, Jo-Hwan ; Choi, Min-Koo ; Park, Jong-Oh ; Kim, Jong-Wook ;
Journal of Korean Institute of Intelligent Systems, volume 21, issue 4, 2011, Pages 530~535
DOI : 10.5391/JKIIS.2011.21.4.530
This paper deals with the precise temperature control of the heater used at a weaving thread or a drawn process. For precise temperature control, we suggest a design method that is auto-tuning IMC-PID controller using an optimization method uDEAS. For this method, we model the roll heater from the measurement data and we automatically tune the low pass filter value of IMC-PID controller that satisfies stability and conrol performance. Finally, we implement the designed controller using DSP kit.