Go to the main menu
Skip to content
Go to bottom
REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
> Journal Vol & Issue
Journal of Korean Institute of Intelligent Systems
Journal Basic Information
Journal DOI :
Korean Institute of Intelligent Systems
Editor in Chief :
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
Selecting the target year
Fuzzy Testing of Independence in Bivariate Normal Distribution
Kang, Man-Ki ; Seo, Hyun-A ;
Journal of Korean Institute of Intelligent Systems, volume 21, issue 1, 2011, Pages 1~5
DOI : 10.5391/JKIIS.2011.21.1.1
We furnished some properties of fuzzy testing of independence for correlation in a bivariate normal distribution by agreement index. First we present some restriction of the fuzzy data, define fuzzy sample correlation coefficient and agreement index for testing hypothesis with acceptance or rejection degree. Also, we show that UMP unbiased fuzzy test and drawing conclusions the fuzzy test.
Gait-based Human Identification System using Eigenfeature Regularization and Extraction
Lee, Byung-Yun ; Hong, Sung-Jun ; Lee, Hee-Sung ; Kim, Eun-Tai ;
Journal of Korean Institute of Intelligent Systems, volume 21, issue 1, 2011, Pages 6~11
DOI : 10.5391/JKIIS.2011.21.1.6
In this paper, we propose a gait-based human identification system using eigenfeature regularization and extraction (ERE). First, a gait feature for human identification which is called gait energy image (GEI) is generated from walking sequences acquired from a camera sensor. In training phase, regularized transformation matrix is obtained by applying ERE to the gallery GEI dataset, and the gallery GEI dataset is projected onto the eigenspace to obtain galley features. In testing phase, the probe GEI dataset is projected onto the eigenspace created in training phase and determine the identity by using a nearest neighbor classifier. Experiments are carried out on the CASIA gait dataset A to evaluate the performance of the proposed system. Experimental results show that the proposed system is better than previous works in terms of correct classification rate.
Architectural Analysis of Type-2 Interval pRBF Neural Networks Using Space Search Evolutionary Algorithm
Oh, Sung-Kwun ; Kim, Wook-Dong ; Park, Ho-Sung ; Lee, Young-Il ;
Journal of Korean Institute of Intelligent Systems, volume 21, issue 1, 2011, Pages 12~18
DOI : 10.5391/JKIIS.2011.21.1.12
In this paper, we proposed Interval Type-2 polynomial Radial Basis Function Neural Networks. In the receptive filed of hidden layer, Interval Type-2 fuzzy set is used. The characteristic of Interval Type-2 fuzzy set has Footprint Of Uncertainly(FOU), which denotes a certain level of robustness in the presence of un-known information when compared with the type-1 fuzzy set. In order to improve the performance of proposed model, we used the linear polynomial function as connection weight of network. The parameters such as center values of receptive field, constant deviation, and connection weight between hidden layer and output layer are optimized by Conjugate Gradient Method(CGM) and Space Search Evolutionary Algorithm(SSEA). The proposed model is applied to gas furnace dataset and its result are compared with those reported in the previous studies.
Amorphous Obstacle Avoidance Based on APF Methods for Local Path Planning
Lee, Jong-Yeon ; Jung, Hah-Min ; Kim, Dong-Hun ;
Journal of Korean Institute of Intelligent Systems, volume 21, issue 1, 2011, Pages 19~24
DOI : 10.5391/JKIIS.2011.21.1.19
This paper presents a method about amorphous obstacles avoidance for local path planning in the two-dimensional sensor environment. In particular, the proposed method is extended from some of the recent studies about a point obstacle avoidance. In the paper, repulsive forces of two types are proposed in order that the robot avoids from the amorphous obstacle with various size and form. A judgment of curvatures in the proposed method simplifies the recognition of obstacles to make the path-planning efficient. In addition, the line of sight(LOS) and the range of recognition are considered in the environment. By simulation results, the proposed method for amorphous obstacle avoidance shows better performance than the related existing method and we confirmed advantages of proposed method.
Fuzzy Test of Hypothesis by Uniformly Most Powerful Test
Kang, Man-Ki ;
Journal of Korean Institute of Intelligent Systems, volume 21, issue 1, 2011, Pages 25~28
DOI : 10.5391/JKIIS.2011.21.1.25
In this paper, we study some properties of condition for fuzzy data, agrement index by ratio of area and the uniformly most powerful fuzzy test of hypothesis. Also, we suggest a confidence bound for uniformly most powerful fuzzy test. For illustration, we take the most powerful critical fuzzy region from exponential distribution by likelihood ratio and test the hypothesis of
-distribution by agreement index.
Integrated Simulation Model for Designing Distributed Energy Management System in Microgrid System
Cho, Jae-Hoon ; Park, Sun-Hong ; Lee, Dae-Jong ; Cho, Young-Im ; Chun, Myung-Geun ;
Journal of Korean Institute of Intelligent Systems, volume 21, issue 1, 2011, Pages 29~35
DOI : 10.5391/JKIIS.2011.21.1.29
In this paper, an integrated simulation model for designing multi-agent system based DEMS (distributed energy management system) in stand-alone micro-grid system is proposed. In the design of the EMS(energy management system), the multi-agent based DEMS are more effective than conventional centralized EMS, but it is difficult to design the DEMS by general design tools for power system because of various states of a microgrid system during operation of stand-alone mode. Also, since performance test of the DEMS using a real system is inefficient, an integrated simulation model is required for designing an effective multi-agent system based DEMS. The proposed model consists of Matlab/SimPowerSystems based simulation model of the microgrid system and the Multi-agnet based DEMS designed by Matlab/StateFlow tool. In order to show the effect of the proposed model, the model outputs are analyzed for specified operation conditions.
Performance Evaluation for Multi-Level Configuration Space for the Development of an Efficient Mobile Robot Path Planner
Park, Jung-Soo ; So, Byung-Chul ; Jung, Jin-Woo ;
Journal of Korean Institute of Intelligent Systems, volume 21, issue 1, 2011, Pages 36~41
DOI : 10.5391/JKIIS.2011.21.1.36
Configuration space(C-space) including configuration obstacle(C-obstacle) is one of the most important concepts in mobile robot path planning. Using C-space and C-obstacles, the robot with different shapes and moving mechanisms can be considered as a point in the C-space. And, as a result, the collision-free path for the robot can be easily achieved. To make C-space including C-obstacle, many researchers used circular approximation method for the efficient caluculation time. This method can help us to save our time by approximating the shape of a robot as the minimum sized circle which can cover all the area of robot. But, by using the circle larger than the robot, more space are considered as the part of robot and, as a result, some obstacles which are very near each other may be considered as a combined one obstacle. To solve this problem, multi-level configuration space is proposed by this paper. This multi-level method also use the circular approximation method as the initial step. But, after finding the initial path, it will check how many obstacles are combined. And then, for each combined obstacle, more accurate C-space generation will be continued. To check the efficiency of the proposed algorithm, time for c-space generation are compared with the well-known accurate C-space generation method using various types of robot shape.
Vibration Reduction Algorithm at the Walking-will Recognition Sensor on Uneven Terrain
Lee, Dong-Kwang ; Kong, Jung-Shik ; Goh, Min-Soo ; Lee, Eung-Hyuk ;
Journal of Korean Institute of Intelligent Systems, volume 21, issue 1, 2011, Pages 42~48
DOI : 10.5391/JKIIS.2011.21.1.42
This paper presents the vibration reduction algorithm at the walking-will recognition sensors on the uneven terrain. Recently, concern about walking assistant aids is increasing according to the increase in population of elder and handicapped person. However, most of walking aids don't have any actuators for its movement. So, general walking aids have weakness for its movement to upward/download direction of slope. To overcome the weakness of the general walking aids, many researches for active type walking aids are being progressed. Especially, vibration analysis and impulse reduction are one of the important elements of the active-type walking aid during moving on the outdoor area because the ground has many kinds of obstacles such as speed dumps, puddles and so on. So, we analyze the influence from vibration by uneven terrain. And then, we propose the impulse reduction algorithm to overcome the vibration. All the processes are verified experimentally in an active-type walking aid.
Odor Cognition and Source Tracking of an Intelligent Robot based upon Wireless Sensor Network
Lee, Jae-Yeon ; Kang, Geun-Taek ; Lee, Won-Chang ;
Journal of Korean Institute of Intelligent Systems, volume 21, issue 1, 2011, Pages 49~54
DOI : 10.5391/JKIIS.2011.21.1.49
In this paper, we represent a mobile robot which can recognize chemical odor, measure concentration, and track its source indoors. The mobile robot has the function of smell that can sort several gases in experiment such as ammonia, ethanol, and their mixture with neural network algorithm and measure each gas concentration with fuzzy rules. In addition, it can not only navigate to the desired position with vision system by avoiding obstacles but also transmit odor information and warning messages earned from its own operations to other nodes by multi-hop communication in wireless sensor network. We suggest the way of odor sorting, concentration measurement, and source tracking for a mobile robot in wireless sensor network using a hybrid algorithm with vision system and gas sensors. The experimental studies prove that the efficiency of the proposed algorithm for odor recognition, concentration measurement, and source tracking.
Design of CRIO-based real-time controller for small-sized wind turbine generating system and comparative study on performance of various MPPT algorithms
Kim, Su-Jin ; Kim, Byung-Moon ; Kim, Sung-Ho ;
Journal of Korean Institute of Intelligent Systems, volume 21, issue 1, 2011, Pages 55~61
DOI : 10.5391/JKIIS.2011.21.1.55
The small-sized wind turbine generating system with the output power less than 10kW, which can be installed in some areas of hills, parks, and cities due to its flexibility, is one of the progressive research and development fields in renewable energy. It is important for the small wind turbine generators to have low cost, high reliability as well as high efficiency. To meet these requirements, development of various maximum-power-point-tracking (MPPT) control schemes should be required. Generally, the output of the controller can be connected to a 48V battery to supply power to a DC load. In this work, the design and implementation of an FPGA-based MPPT controller for small-sized wind turbine generating system is presented. For the verification of the practical performance of various MPPT algorithms, CRIO controller from NI has been used.
A Fuzzy Approach to Evaluation of Home-helper's Service
Jang, Yun-Jeong ;
Journal of Korean Institute of Intelligent Systems, volume 21, issue 1, 2011, Pages 62~67
DOI : 10.5391/JKIIS.2011.21.1.62
This study has been undertaken to empirically test how the level of information Home Helpers have about their client and the hypothesis that home-helpers' expertise about their service provided to their clients is expected to positively affect their assessment of service provided to clients. Main results of this study are as follows : First, home-helpers' knowledge, skill, and information about clients is positively related to their assessment of service provided to clients. Home-helpers' information about clients plays a more important role than knowledge and skills in the process of assessing the services provided to clients. After maintaining that the hypothesis is empirically confirmed, the author discusses the implications of empirical findings.
Web Contents Mining System for Real-Time Monitoring of Opinion Information based on Web 2.0
Kim, Young-Choon ; Joo, Hae-Jong ; Choi, Hae-Gill ; Cho, Moon-Taek ; Kim, Young-Baek ; Rhee, Sang-Yong ;
Journal of Korean Institute of Intelligent Systems, volume 21, issue 1, 2011, Pages 68~79
DOI : 10.5391/JKIIS.2011.21.1.68
This paper focuses on the opinion information extraction and analysis system through Web mining that is based on statistics collected from Web contents. That is, users' opinion information which is scattered across several websites can be automatically analyzed and extracted. The system provides the opinion information search service that enables users to search for real-time positive and negative opinions and check their statistics. Also, users can do real-time search and monitoring about other opinion information by putting keywords in the system. Proposing technique proved that the actual performance is excellent by comparison experiment with other techniques. Performance evaluation of function extracting positive/negative opinion information, the performance evaluation applying dynamic window technique and tokenizer technique for multilingual information retrieval, and the performance evaluation of technique extracting exact multilingual phonetic translation are carried out. The experiment with typical movie review sentence and Wikipedia experiment data as object as that applying example is carried out and the result is analyzed.
Design of the Power Assist Controller for the In-Wheel Type Smart Wheelchair
Kong, Jung-Shik ; Baek, Seung-Yub ;
Journal of Korean Institute of Intelligent Systems, volume 21, issue 1, 2011, Pages 80~85
DOI : 10.5391/JKIIS.2011.21.1.80
This paper presents the design of the power-assisted controller for the in-wheel type smart wheelchair by using torque estimation that is predicted by relationship between input voltage and output wheel angular velocity. Nowadays, interest of the moving assistant aids is increased according to the increase in population of the elderly and the handicapped person. However some of the moving assistant aids have problems. For example, manual wheelchair has difficulty moving at the slope, because users lack the muscular strength of their arm. In electric wheelchair case, users should be weak by being decreased muscles of upper body. To overcome these problems, power-assisted electric wheelchair are proposed. Most of the power-assisted electric wheelchair have the special rims that can measure the user's power. In here, the rims have to be designed to install the sensors to measure user's power. In this paper, we don't design the rim to measure the man power. To predict the man power, we propose a control algorithm of the in-wheeled electric wheelchair by using torque estimation from the wheel. First, we measure the wheel velocity and voltage at the in-wheel electric wheelchair. And then we extract driving will forces by using proposed mathematical model. Also they are applied at the controller as the control input, we verify to be able to control in-wheel type smart wheelchair by using simulation.
Ontology-based User Intention Recognition for Proactive Planning of Intelligent Robot Behavior
Jeon, Ho-Cheol ; Choi, Joong-Min ;
Journal of Korean Institute of Intelligent Systems, volume 21, issue 1, 2011, Pages 86~99
DOI : 10.5391/JKIIS.2011.21.1.86
Due to the uncertainty of intention recognition for behaviors of users, the intention is differently recognized according to the situation for the same behavior by the same user, the accuracy of user intention recognition by minimizing the uncertainty is able to be improved. This paper suggests a novel ontology-based method to recognize user intentions, and able to minimize the uncertainties that are the obstacles against the precise recognition of user intention. This approach creates ontology for user intention, makes a hierarchy and relationship among user intentions by using RuleML as well as Dynamic Bayesian Network, and improves the accuracy of user intention recognition by using the defined RuleML as well as the gathered sensor data such as temperature, humidity, vision, and auditory. To evaluate the performance of robot proactive planning mechanism, we developed a simulator, carried out some experiments to measure the accuracy of user intention recognition for all possible situations, and analyzed and detailed described the results. The result of our experiments represented relatively high level the accuracy of user intention recognition. On the other hand, the result of experiments tells us the fact that the actions including the uncertainty get in the way the precise user intention recognition.
Technology Forecasting of Intelligent Systems using Patent Analysis
Jun, Sung-Hae ;
Journal of Korean Institute of Intelligent Systems, volume 21, issue 1, 2011, Pages 100~105
DOI : 10.5391/JKIIS.2011.21.1.100
Needs of intelligent system has risen continuously to solve given problem optimally using learning and reasoning. This system has performed important roles in diverse fields for improving the human-life quality in past, present, and future. So, it is important to analyze the trend of technology forecasting for the intelligent system. In this paper, we propose a patent analysis method for technology forecasting of the intelligent system using objective patent data. To verify our study, we use the patent data applied and registered until now.
Specified Object Tracking in an Environment of Multiple Moving Objects using Particle Filter
Kim, Hyung-Bok ; Ko, Kwang-Eun ; Kang, Jin-Shig ; Sim, Kwee-Bo ;
Journal of Korean Institute of Intelligent Systems, volume 21, issue 1, 2011, Pages 106~111
DOI : 10.5391/JKIIS.2011.21.1.106
Video-based detection and tracking of moving objects has been widely used in real-time monitoring systems and a videoconferencing. Also, because object motion tracking can be expanded to Human-computer interface and Human-robot interface, Moving object tracking technology is one of the important key technologies. If we can track a specified object in an environment of multiple moving objects, then there will be a variety of applications. In this paper, we introduce a specified object motion tracking using particle filter. The results of experiments show that particle filter can achieve good performance in single object motion tracking and a specified object motion tracking in an environment of multiple moving objects.
Use of Fuzzy technique for Calculating Degree of Collision Risk in Obstacle Avoidance of Unmanned Underwater Vehicles
Jung, Hee ; Kim, Seong-Gon ; Kim, Yong-Gi ;
Journal of Korean Institute of Intelligent Systems, volume 21, issue 1, 2011, Pages 112~119
DOI : 10.5391/JKIIS.2011.21.1.112
This paper introduces a technique for calculating the degree of collision risk used in collision avoidance system of AUVs. The collision risk will be reckoned with the fuzzy inference, which uses TCPA(Time of the Closest Point of Approach) and DCPA(Distance of the Closest Point of Approach) as factors. A method to obtain TCPA and DCPA for 3-dimension is suggested. The degree of collision risk is provided to collision avoidance system, and is verified the effectiveness through simulation.
Determining Checkpoint Intervals of Non-Preemptive Rate Monotonic Scheduling Using Probabilistic Optimization
Kwak, Seong-Woo ; Yang, Jung-Min ;
Journal of Korean Institute of Intelligent Systems, volume 21, issue 1, 2011, Pages 120~127
DOI : 10.5391/JKIIS.2011.21.1.120
Checkpointing is one of common methods of realizing fault-tolerance for real-time systems. This paper presents a scheme to determine checkpoint intervals using probabilistic optimization. The considered real-time systems comprises multiple tasks in which transient faults can happen with a Poisson distribution. Also, multi-tasks are scheduled by the non-preemptive Rate Monotonic (RM) algorithm. In this paper, we present an optimization problem where the probability of task completion is described by checkpoint numbers. The solution to this problem is the optimal set of checkpoint numbers and intervals that maximize the probability. The probability computation includes schedulability test for the non-preemptive RM algorithm with respect to given numbers of checkpoint re-execution. A case study is given to show the applicability of the proposed scheme.
A Note On Fuzzy r-M Precontinuity And Fuzzy r-Minimal Compactness On Fuzzy r-Minimal Spaces
Min, Won-Keun ; Kim, Young-Key ;
Journal of Korean Institute of Intelligent Systems, volume 21, issue 1, 2011, Pages 128~131
DOI : 10.5391/JKIIS.2011.21.1.128
In this paper, we introduce and study the concept of fuzzy r-
preopen mappings between fuzzy r-minimal spaces. We also investigate the relationships among fuzzy r-M precontinuous mappings, fuzzy r-
-preopen mappings and several types of fuzzy r-minimal compactness.
Locomotion Control of 4 Legged Robot Using HyperNEAT
Jang, Jae-Young ; Hyun, Soo-Hwan ; Seo, Ki-Sung ;
Journal of Korean Institute of Intelligent Systems, volume 21, issue 1, 2011, Pages 132~137
DOI : 10.5391/JKIIS.2011.21.1.132
The walking mobility with stability of 4 legged robots is the distinguished skills for many application areas. Planning gaits of efficient walking for quadruped robots is an important and challenging task. Especially, autonomous generation of locomotion is required to manage various robot models and environments. In this paper, we propose an adaptive locomotion control of 4 legged robot for irregular terrain using HyperNEAT. Generated locomotion is executed and analysed using ODE based Webots simulation for the 4 legged robot which is built by Bioloid.
Study on the L(2,1)-labeling problem based on simulated annealing algorithm
Han, Keun-Hee ; Lee, Yong-Jin ;
Journal of Korean Institute of Intelligent Systems, volume 21, issue 1, 2011, Pages 138~144
DOI : 10.5391/JKIIS.2011.21.1.138
L(2, 1)-labeling problem of a graph G = (V, E) is a problem to find an efficient way to distribute radio frequencies to various wireless equipments in wireless networks. In this work, we suggest a Simulated Annealing algorithm that can be applied to the L(2, 1)-labeling problem. By applying the suggested algorithm to various graphs we will try to show the efficiency of our algorithm.
The Lattice of Interval-Valued Intuitionistic Fuzzy Relations
Lee, Keon-Chang ; Choi, Ga-Hee ; Hur, Kul ;
Journal of Korean Institute of Intelligent Systems, volume 21, issue 1, 2011, Pages 145~152
DOI : 10.5391/JKIIS.2011.21.1.145
By using the notion of interval-valued intuitionistic fuzzy relations, we form the poset (IVIR(X),
) of interval-valued intuitionistic fuzzy relations on a given set X. In particular, we form the subposet (IVIE(X),
) of interval-valued intuitionistic fuzzy equivalence relations on a given set X and prove that the poset (IVIE(X),
) is a complete lattice with the least element and greatest element.