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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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Journal DOI :
Korean Institute of Intelligent Systems
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Volume & Issues
Volume 25, Issue 6 - Dec 2015
Volume 25, Issue 5 - Oct 2015
Volume 25, Issue 4 - Aug 2015
Volume 25, Issue 3 - Jun 2015
Volume 25, Issue 2 - Apr 2015
Volume 25, Issue 1 - Feb 2015
Selecting the target year
Incremental EM algorithm with multiresolution kd-trees and cluster validation and its application to image segmentation
Lee, Kyoung-Mi ;
Journal of Korean Institute of Intelligent Systems, volume 25, issue 6, 2015, Pages 523~528
DOI : 10.5391/JKIIS.2015.25.6.523
In this paper, we propose a new multiresolutional and dynamic approach of the EM algorithm. EM is a very popular and powerful clustering algorithm. EM, however, has problems that indexes multiresolution data and requires a priori information on a proper number of clusters in many applications, To solve such problems, the proposed EM algorithm can impose a multiresolution kd-tree structure in the E-step and allocates a cluster based on sequential data. To validate clusters, we use a merge criteria for cluster merging. We demonstrate the proposed EM algorithm outperforms for texture image segmentation.
Characterization of the Alzheimer's disease-related network based on the dynamic network approach
Kim, Man-Sun ; Kim, Jeong-Rae ;
Journal of Korean Institute of Intelligent Systems, volume 25, issue 6, 2015, Pages 529~535
DOI : 10.5391/JKIIS.2015.25.6.529
Biological networks have been handled with the static concept. However, life phenomena in cells occur depending on the cellular state and the external environment, and only a few proteins and their interactions are selectively activated. Therefore, we should adopt the dynamic network concept that the structure of a biological network varies along the flow of time. This concept is effective to analyze the progressive transition of the disease. In this paper, we applied the proposed method to Alzheimer's disease to analyze the structural and functional characteristics of the disease network. Using gene expression data and protein-protein interaction data, we constructed the sub-networks in accordance with the progress of disease (normal, early, middle and late). Based on this, we analyzed structural properties of the network. Furthermore, we found module structures in the network to analyze the functional properties of the sub-networks using the gene ontology analysis (GO). As a result, it was shown that the functional characteristics of the dynamics network is well compatible with the stage of the disease which shows that it can be used to describe important biological events of the disease. Via the proposed approach, it is possible to observe the molecular network change involved in the disease progression which is not generally investigated, and to understand the pathogenesis and progression mechanism of the disease at a molecular level.
A Study on the Image-based Automatic Flight Control of Mini Drone
Sun, Eun-Hey ; Luat, Tran Huu ; Kim, Dongyeon ; Kim, Yong-Tae ;
Journal of Korean Institute of Intelligent Systems, volume 25, issue 6, 2015, Pages 536~541
DOI : 10.5391/JKIIS.2015.25.6.536
In this paper, we propose a the image-based automatic flight control system for the mini drone. Automatic flight system with a camera on the ceiling and markers on the floor and landing position is designed in an indoor environment. Images from the ceiling camera is used not only to recognize the makers and landing position but also to track the drone motion. PC sever identifies the location of the drone and sends control commands to the mini drone. Flight controller of the mini drone is designed using state-machine algorithm, PID control and way-point position control method. From the, The proposed automatic flight control system is verified through the experiments of the mini drone. We see that known makers in environment are recognized and the drone can follows the trajectories with the specific ㄱ, ㄷ and ㅁ shapes. Also, experimental results show that the drone can approach and correctly land on the target positions which are set at different height.
SSD Test case generation method for early defect detection
Son, Myeong-Gyu ; Lee, Jee-Hyong ;
Journal of Korean Institute of Intelligent Systems, volume 25, issue 6, 2015, Pages 542~550
DOI : 10.5391/JKIIS.2015.25.6.542
Usually, a new SSD (Solide State Drive) product is developed based on the software platform of the previous product. Therefore, when using the same test case was used to evaluate the previous generation evaluation of new products are a number of advantages may be, but a priority or weight is the inefficiency exists in the use of the evaluation resources due to not considered. A new method is proposed to prevent the waste of testing resources. Through the analysis of the evaluation data for the previous products, the combinations of testing cases with the highest probability for defect detections are identified. When the software is to be reused, most part of the base software platform is rarely modified and only some modules are added or modified. So, the whole software system may have similar types of defects with the previous products. By utilizing the evaluation data for the previous proucts, we can detect defects at an early stage.
Semantic Synchronization of Shared Data for Unstable Mobile Environment
Hong, Dong-Kweon ;
Journal of Korean Institute of Intelligent Systems, volume 25, issue 6, 2015, Pages 551~557
DOI : 10.5391/JKIIS.2015.25.6.551
Synchronization methods for shared data need to be selected properly based on characteristics of data and applications. In this paper we suggest a new semantic synchronization method, semanticAppr, for non_transactional data in disconnected mode. Our approach reduces loss of works in cooperative environments by weakening constraint of serializability. In addition it reduces data transfer by sending operation log instead document itself.
An Improvement of Education in Multicultural Families Using Social Network Service
Yoon, Byung Rock ; Lee, Soo Yong ; Kim, Chang Suk ;
Journal of Korean Institute of Intelligent Systems, volume 25, issue 6, 2015, Pages 558~564
DOI : 10.5391/JKIIS.2015.25.6.558
This study is how to effectively apply this SNS based education to multicultural families and is to analyze how any change in the lives of multicultural families. Multicultural education in Korea has been steadily run by the government and local authorities, however the lack of free time, distances, for economic reasons and unfamiliarity of the new culture and language, immigrant women are not getting the education. To solve this problem, we provide the necessary information, such as culture, education, laws of the Korea for multicultural families and analyze their effect on life adjustment. And we also analyze changes to relieve loneliness. As a result multicultural family education utilizing SNS is verified that there is effectiveness to adapt and understand Korea. As well as inter-family, multicultural members to seamlessly communicate between each other that proved helpful to relieve loneliness.
Real-time Streaming and Remote Control for the Smart Door-Lock System based on Internet of Things
Lee, Sung-Won ; Yu, Je-Hun ; Sim, Kwee-Bo ;
Journal of Korean Institute of Intelligent Systems, volume 25, issue 6, 2015, Pages 565~570
DOI : 10.5391/JKIIS.2015.25.6.565
In this paper, we implemented the smart door lock system that control remotely devices using the concept of internet of things. Internet of things is intelligent system that can help devices to communicate with people and devices. And recently internet of things is getting attention because of advance of hardware technology and big data. The smart doorlock system based on internet of things used raspberry pi, sensor and doorlock. Using the smart phone, doorlock can be controlled from the raspberry pi server. And the user can identify some people that is in front of doorlock. also user can check around of doorlock in realtime using the raspberry pi camera.
Development of a Physical Training Management Module Using Smart Devices
Shin, Ki-Su ; Jung, Hahmin ; Kwon, Soon-Jae ; Lee, Se-Han ; Kim, Dong Hun ;
Journal of Korean Institute of Intelligent Systems, volume 25, issue 6, 2015, Pages 571~577
DOI : 10.5391/JKIIS.2015.25.6.571
In the paper, we propose a method for developing a physical training management module which sends physical data to smart devices using an wireless module attached to physical appliances. In the proposed stick-type physical appliance, the physical amount of data measured from sensors inside the appliance is sent to a smart device via wireless communication. And then the smart device records the physical amount of data categorized in person-based data and shows useful information about the user's physical training on the dedicated display. For the performance evaluation, indoor environment and electro magnetic wave tests are taken from national specialized organizations, and their results was very efficient. The proposed physical training management module is highly extensible since it is easily applicable to other physical appliances and useful to both Android and iOS platforms.
A Wheeled Inverted Pendulum System with an Automatic Standing Arm
Lee, Se-Han ;
Journal of Korean Institute of Intelligent Systems, volume 25, issue 6, 2015, Pages 578~584
DOI : 10.5391/JKIIS.2015.25.6.578
In this study a moving platform for a mobile robot that can be traveling with a full automatic standing arm was developed. Conventional mobile robots generally may equip 4 wheels or 3 wheels with a caster wheel or independent driven wheels and have good statistic stability. When a mobile robot travels on a sharply perpendicular and narrow crossroad, it may need a special steering scheme such as going forward and backward repeatedly or it is sometimes physically impossible for the robot to go through the crossroad because of the size limit. The upright running mobile robot changes its posture to the upright posture which has a small planar area and is able to go through the crossroad. The upright control which was manually performed step by step before such as sequences of uprighting (returning), checking, and balancing, is now automated.
Implement of Semi-automatic Labeling Using Transcripts Text
Won, Dong-Jin ; Chang, Moon-soo ; Kang, Sun-Mee ;
Journal of Korean Institute of Intelligent Systems, volume 25, issue 6, 2015, Pages 585~591
DOI : 10.5391/JKIIS.2015.25.6.585
In transcription for spoken language research, labeling is a work linking text-represented utterance to recorded speech. Most existing labeling tools have been working manually. Semi-automatic labeling we are proposing consists of automation module and manual adjustment module. Automation module extracts voice boundaries utilizing G.Saha's algorithm, and predicts utterance boundaries using the number and length of utterance which established utterance text. For maintaining existing manual tool's accuracy, we provide manual adjustment user interface revising the auto-labeling utterance boundaries. The implemented tool of our semi-automatic algorithm speed up to 27% than existing manual labeling tools.
Big Data Analysis Using Principal Component Analysis
Lee, Seung-Joo ;
Journal of Korean Institute of Intelligent Systems, volume 25, issue 6, 2015, Pages 592~599
DOI : 10.5391/JKIIS.2015.25.6.592
In big data environment, we need new approach for big data analysis, because the characteristics of big data, such as volume, variety, and velocity, can analyze entire data for inferring population. But traditional methods of statistics were focused on small data called random sample extracted from population. So, the classical analyses based on statistics are not suitable to big data analysis. To solve this problem, we propose an approach to efficient big data analysis. In this paper, we consider a big data analysis using principal component analysis, which is popular method in multivariate statistics. To verify the performance of our research, we carry out diverse simulation studies.
Design of Simple-structured Fuzzy Logic Systems for Quad-Copter
Yoo, Hyun-Ho ; Choi, Byung-Jae ;
Journal of Korean Institute of Intelligent Systems, volume 25, issue 6, 2015, Pages 600~606
DOI : 10.5391/JKIIS.2015.25.6.600
Applications of the drone have been enlarged and study on the quad-copter system has been widely progressed. Quad-copter system is raised vertically with four propellers, and it is free to move side to side, and upper and lower. It is also a typical example of non-linear systems. In this paper, we design two-input fuzzy logic control systems in order to control the quad-copter that is complex nonlinear system. And then we analyze their control rule tables and derive some characteristics that they present skew symmetric property and the control actions are enhanced as the distance from the diagonal band. This property enables the design of other control systems. We here design simple-structured fuzzy logic control systems and simulate them. We confirm some effects of the proposed systems and finally discuss about them.
Structural and Job Analysis for Core Competency of Aircraft Maintenance Crew Using Fuzzy Theory
Choi, Ssang-Yong ; Hwang, Seung-Gook ;
Journal of Korean Institute of Intelligent Systems, volume 25, issue 6, 2015, Pages 607~614
DOI : 10.5391/JKIIS.2015.25.6.607
In this paper, structural analysis for the 16 core competencies of aircraft maintenance crew using FSM is carried out for the purpose of improving the capability of aircraft maintenance. As a result, the three groups of layers are composed of the 3 top layers, 3 middle layers and 10 lowest layers. These results make it possible to grasp the impact and importance. In addition, the core competency of aircraft maintenance crew can improve the maintenance quality and productivity through working on the spot. In this viewpoint, fuzzy relational matrix, which is used as a basis for evaluating the work, can be obtained from the data of the 100 aircraft maintenance crew for core competencies. In this paper, the efficiency of this model is shown by utilizing the 100 modeling data and the 67 checking data.
A Fault Detection System Design for Boiler-Turbine Control System of Thermal Power Pant
Yoo, Seog-Hwan ;
Journal of Korean Institute of Intelligent Systems, volume 25, issue 6, 2015, Pages 615~620
DOI : 10.5391/JKIIS.2015.25.6.615
This paper deals with a fault detection system design for a boiler-turbine control system of thermal power plant. We described the nonlinear properties of the boiler-turbine dynamics as a T-S fuzzy system with time varying measurable parameters. We design a residual generator using an observer based fault detection filter. In order to identify the faulted output sensor, an approximate inverse system is connected to the outport of the fault detection filter. We demonstrate the efficiency of the suggested design method via computer simulations.
Vision-based Vehicle Detection Using HOG and OS Fuzzy-ELM
Yoon, Changyong ; Lee, Heejin ;
Journal of Korean Institute of Intelligent Systems, volume 25, issue 6, 2015, Pages 621~628
DOI : 10.5391/JKIIS.2015.25.6.621
This paper describes an algorithm for detecting vehicles detection in real time. The proposed algorithm has the technique based on computer vision and image processing. In real, complex environment such as one with road traffic, many algorithms have great difficulty such as low detection rate and increasing computational time due to complex backgrounds and rapid changes. To overcome this problem in this paper, the proposed algorithm consists of the following methods. First, to effectively separate the candidate regions, we use vertical and horizontal edge information, and shadow values from input image sequences. Second, we extracts features by using HOG from the selected candidate regions. Finally, this paper uses the OS fuzzy-ELM based on SLFN to classify the extracted features. The experimental results show that the proposed method perform well for detecting vehicles and improves the accuracy and the computational time of detecting.