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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
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The KIPS Transactions:PartB
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Korea Information Processing Society
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Volume & Issues
Volume 14B, Issue 7 - Dec 2007
Volume 14B, Issue 6 - Oct 2007
Volume 14B, Issue 5 - Oct 2007
Volume 14B, Issue 4 - Aug 2007
Volume 14B, Issue 3 - Jun 2007
Volume 14B, Issue 2 - Apr 2007
Volume 14B, Issue 1 - Feb 2007
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A Study on the Detection and Statistical Feature Analysis of Red Tide Area in South Coast Using Remote Sensing
Sur, Hyung-Soo ; Lee, Chil-Woo ;
The KIPS Transactions:PartB, volume 14B, issue 2, 2007, Pages 65~70
DOI : 10.3745/KIPSTB.2007.14-B.2.065
Red tide is becoming hot issue of environmental problem worldwide since the 1990. Advanced nations, are progressing study that detect red tide area on early time using satellite for sea. But, our country most seashores bends serious. Also because there are a lot of turbid method streams on coast, hard to detect small red tide area by satellite for sea that is low resolution. Also, method by sea color that use one feature of satellite image for sea of existent red tide area detection was most. In this way, have a few feature in image with sea color and it can cause false negative mistake that detect red tide area. Therefore, in this paper, acquired texture information to use GLCM(Gray Level Co occurrence Matrix)`s texture 6 information about high definition land satellite south Coast image. Removed needless component reducing dimension through principal component analysis from this information. And changed into 2 principal component accumulation images, Experiment result 2 principal component conversion accumulation image`s eigenvalues were 94.6%. When component with red tide area that uses only sea color image and all principal component image. displayed more correct result. And divided as quantitative,, it compares with turbid stream and the sea that red tide does not exist using statistical feature analysis about texture.
Extraction of Face Type and Tongue Color Analysis for Diseases Diagnosis in Web-Based Environments
Cho, Dong-Uk ; Kim, Bong-Hyun ; Lee, Se-Hwan ;
The KIPS Transactions:PartB, volume 14B, issue 2, 2007, Pages 71~80
DOI : 10.3745/KIPSTB.2007.14-B.2.071
In this paper, We propose face type classification, tongue region extraction and tongue color analysis method for Oriental medicine diagnosis system to supply web based medical treatment information. This presents to construct system that takes super aging society and uses ocular inspection and longue diagnosis in web-based to embody this by an IT Technology as generalization and popularization of medical benefit are social requirement and supplies medical treatment information. Place that reflect living body signal of human body ordinarily and appear becomes iris or tongue, five sensory organs etc. This paper proposes classification of face type, extraction of five sensory organs for observing a person`s shape and color among diseases diagnosis based on home health care that propose to develop and region extraction and color analysis etc, of tongue which intensively represents the bio-signals of human-beings. Finally, the effectiveness of this paper is verified by several experiments.
Recognition of Chinese Automobile License Plates
Ahn, Young-Joon ; Wee, Kyu-Bum ; Hong, Man-Pyo ;
The KIPS Transactions:PartB, volume 14B, issue 2, 2007, Pages 81~88
DOI : 10.3745/KIPSTB.2007.14-B.2.081
We implement automobile license plates recognition system. These days automobile license plate recognition systems are widely used for tracing stolen cars. managing parking facilities, ticketing speeding cars, and so on. Recognition systems largely consist of three parts plates extraction, segments extraction, and segment recognition. For plates extraction, we measure the degree of inclination of plate. We use filters that extract only the horizontal components of the front of an automobile to measure the degree of inclination. For segment extraction, we trace the change of the number of blocks that consist solely of foreground pixels or background pixels as the horizontal scanning line moves along upward. For recognition of each individual letter or digit, we devise a variant of template matching method, called comparative template matching. Through experiments, we show that comparative template matching is less prone misled by noises and exhibits higher performance compared to the traditional method of template matching or histogram based recognition.
Automatic Genre Classification of Sports News Video Using Features of Playfield and Motion Vector
Song, Mi-Young ; Jang, Sang-Hyun ; Cho, Hyung-Je ;
The KIPS Transactions:PartB, volume 14B, issue 2, 2007, Pages 89~98
DOI : 10.3745/KIPSTB.2007.14-B.2.089
For browsing, searching, and manipulating video documents, an indexing technique to describe video contents is required. Until now, the indexing process is mostly carried out by specialists who manually assign a few keywords to the video contents and thereby this work becomes an expensive and time consuming task. Therefore, automatic classification of video content is necessary. We propose a fully automatic and computationally efficient method for analysis and summarization of spots news video for 5 spots news video such as soccer, golf, baseball, basketball and volleyball. First of all, spots news videos are classified as anchor-person Shots, and the other shots are classified as news reports shots. Shot classification is based on image preprocessing and color features of the anchor-person shots. We then use the dominant color of the field and motion features for analysis of sports shots, Finally, sports shots are classified into five genre type. We achieved an overall average classification accuracy of 75% on sports news videos with 241 scenes. Therefore, the proposed method can be further used to search news video for individual sports news and sports highlights.
AAW-based Cell Image Segmentation Method
Seo, Mi-Suk ; Ko, Byoung-Chul ; Nam, Jae-Yeal ;
The KIPS Transactions:PartB, volume 14B, issue 2, 2007, Pages 99~106
DOI : 10.3745/KIPSTB.2007.14-B.2.099
In this paper, we present an AAW(Adaptive Attention Window) based cell image segmentation method. For semantic AAW detection we create an initial Attention Window by using a luminance map. Then the initial AW is reduced to the optimal size of the real ROI(Region of Interest) by using a quad tree segmentation. The purpose of AAW is to remove the background and to reduce the amount of processing time for segmenting ROIs. Experimental results show that the proposed method segments one or more ROIs efficiently and gives the similar segmentation result as compared with the human perception.
Soft Sign Language Expression Method of 3D Avatar
Oh, Young-Joon ; Jang, Hyo-Young ; Jung, Jin-Woo ; Park, Kwang-Hyun ; Kim, Dae-Jin ; Bien, Zeung-Nam ;
The KIPS Transactions:PartB, volume 14B, issue 2, 2007, Pages 107~118
DOI : 10.3745/KIPSTB.2007.14-B.2.107
This paper proposes a 3D avatar which expresses sign language in a very using lips, facial expression, complexion, pupil motion and body motion as well as hand shape, Hand posture and hand motion to overcome the limitation of conventional sign language avatars from a deaf`s viewpoint. To describe motion data of hand and other body components structurally and enhance the performance of databases, we introduce the concept of a hyper sign sentence. We show the superiority of the developed system by a usability test through a questionnaire survey.
A Study of Evaluating VR Learning Styles on User Attention and Memory
Park, Kyoung-Shin ; Goo, Ja-Young ;
The KIPS Transactions:PartB, volume 14B, issue 2, 2007, Pages 119~126
DOI : 10.3745/KIPSTB.2007.14-B.2.119
This paper presents a study investigating the effects of VR learning style on user attention and memory. The study involved users performed the guided or unguided style learning in the virtual environment while user attention was measured through physiological sensors (EEG, ECG, and GSR) and an eye tracking system. The users experienced the five specific events in a virtual environment associated with different stimuli, while they were given more specific goals during the guided task whereas they were given more goal asking them to actively search for the interesting items during the unguided task. The subject`s attentions workload, feelings, memories about VR experience were measured by using a variety of physiological sensors during the task, video analysis, and post test survey. The results showed that the unguided task followed by the guided task made a considerable learning effect by giving a preview effect to the user. Moreover, the guided task drew more user attention and mental workload than the unguided task did.
Integrated Multiple Simulation for Optimizing Performance of Stock Trading Systems based on Neural Networks
Lee, Jae-Won ; O, Jang-Min ;
The KIPS Transactions:PartB, volume 14B, issue 2, 2007, Pages 127~134
DOI : 10.3745/KIPSTB.2007.14-B.2.127
There are many researches about the intelligent stock trading systems with the help of the advance of the artificial intelligence such as machine learning techniques, Though the establishment of the reasonable trading policy plays an important role in the performance of the trading systems most researches focused on the improvement of the predictability. Also some previous works, which treated the trading policy, treated the simplified versions dependent on the predictors in less systematic ways. In this paper, we propose the integrated multiple simulation` as a method of optimizing trading performance of stock trading systems. The propose method is adopted in the NXShell a development environment for neural network based stock trading systems. Under the proposed integrated multiple simulation`, we simulate the multiple tradings for all combinations of the neural network`s outputs and the trading policy parameters, evaluate the learning performance according to the various metrics and establish the optimal policy for a given prediction module based on the resulting performance. In the experiment, we present the trading policy comparison results using the stock value data from the KOSPI and KOSDAQ.
A Feature Selection Method Based on Fuzzy Cluster Analysis
Rhee, Hyun-Sook ;
The KIPS Transactions:PartB, volume 14B, issue 2, 2007, Pages 135~140
DOI : 10.3745/KIPSTB.2007.14-B.2.135
Feature selection is a preprocessing technique commonly used on high dimensional data. Feature selection studies how to select a subset or list of attributes that are used to construct models describing data. Feature selection methods attempt to explore data`s intrinsic properties by employing statistics or information theory. The recent developments have involved approaches like correlation method, dimensionality reduction and mutual information technique. This feature selection have become the focus of much research in areas of applications with massive and complex data sets. In this paper, we provide a feature selection method considering data characteristics and generalization capability. It provides a computational approach for feature selection based on fuzzy cluster analysis of its attribute values and its performance measures. And we apply it to the system for classifying computer virus and compared with heuristic method using the contrast concept. Experimental result shows the proposed approach can give a feature ranking, select the features, and improve the system performance.
Determining the Dependency among Clauses based on SVM
Kim, Mi-Young ;
The KIPS Transactions:PartB, volume 14B, issue 2, 2007, Pages 141~144
DOI : 10.3745/KIPSTB.2007.14-B.2.141
The longer the input sentences, the worse the syntactic parsing results, Therefore, a long sentence is first divided into several clauses and syntactic analysis for each clause is performed. Finally, all the analysis results art merged into one, In the merging process, it is difficult to determine the dependency among clauses, To handle such syntactic ambiguity among clauses, this paper proposes an SVM-based clause-dependency determination method. We extract various features from clauses, and analyze the effect of each feature on the performance. We also compare the performance of our proposed method with those of previous methods.