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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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The Method of Color Image Processing Using Adaptive Saturation Enhancement Algorithm
Yang, Kyoung-Ok ; Yun, Jong-Ho ; Cho, Hwa-Hyun ; Choi, Myung-Ryul ;
The KIPS Transactions:PartB, volume 14B, issue 3, 2007, Pages 145~152
DOI : 10.3745/KIPSTB.2007.14-B.3.145
In this paper, we propose an automatic extraction model for unknown translations and implement an unknown translation extraction system using the proposed model. The proposed model as a phrase-alignment model is incorporated with three models: a phrase-boundary model, a language model, and a translation model. Using the proposed model we implement the system for extracting unknown translations, which consists of three parts: construction of parallel corpora, alignment of Korean and English words, extraction of unknown translations. To evaluate the performance of the proposed system, we have established the reference corpus for extracting unknown translation, which comprises of 2,220 parallel sentences including about 1,500 unknown translations. Through several experiments, we have observed that the proposed model is very useful for extracting unknown translations. In the future, researches on objective evaluation and establishment of parallel corpora with good quality should be performed and studies on improving the performance of unknown translation extraction should be kept up.
Sasang Constitution Classification System Using Face Morphologic Relation Analysis
Cho, Dong-Uk ; Kim, Bong-Hyun ; Lee, Se-Hwan ;
The KIPS Transactions:PartB, volume 14B, issue 3, 2007, Pages 153~162
DOI : 10.3745/KIPSTB.2007.14-B.3.153
Sasang medicine is peculiar medicine that constitution of a human classify four types and differ treatment method by physical constitution. In this way the most important thing is very difficult problem that classification of Sasang constitution and discriminate correctly. Therefore, in this paper targets diagnosis medical appliances development of hybrid form that can behave constitution classification and sees among for this paper to propose about method to grasp characteristic that is morphology about eye, nose, ear and mouth be based on appearance and manner of speaking. In this paper, classified and verified this for Sasang constitution through the QSCC II program at 1 step and present method that more exactly and conveniently analyzing measure each physical constitution feature by survey about eye, nose, ear and mouth at 2 steps. Also, extraction and analyze and verified main area of physical constitution classification based on front face and side face at 3 steps. Such propose method to extraction the principal face region based on face color from front face and side face for correct physical constitution classification diagnosis appliance development through experiment consideration and verification process.
A Moving Camera Localization using Perspective Transform and Klt Tracking in Sequence Images
Jang, Hyo-Jong ; Cha, Jeong-Hee ; Kim, Gye-Young ;
The KIPS Transactions:PartB, volume 14B, issue 3, 2007, Pages 163~170
DOI : 10.3745/KIPSTB.2007.14-B.3.163
In autonomous navigation of a mobile vehicle or a mobile robot, localization calculated from recognizing its environment is most important factor. Generally, we can determine position and pose of a camera equipped mobile vehicle or mobile robot using INS and GPS but, in this case, we must use enough known ground landmark for accurate localization. hi contrast with homography method to calculate position and pose of a camera by only using the relation of two dimensional feature point between two frames, in this paper, we propose a method to calculate the position and the pose of a camera using relation between the location to predict through perspective transform of 3D feature points obtained by overlaying 3D model with previous frame using GPS and INS input and the location of corresponding feature point calculated using KLT tracking method in current frame. For the purpose of the performance evaluation, we use wireless-controlled vehicle mounted CCD camera, GPS and INS, and performed the test to calculate the location and the rotation angle of the camera with the video sequence stream obtained at 15Hz frame rate.
Object Tracking And Elimination Using Lod Edge Maps Generated from Modified Canny Edge Maps
Park, Ji-Hun ; Jang, Yung-Dae ; Lee, Dong-Hun ; Lee, Jong-Kwan ; Ham, Mi-Ok ;
The KIPS Transactions:PartB, volume 14B, issue 3, 2007, Pages 171~182
DOI : 10.3745/KIPSTB.2007.14-B.3.171
We propose a simple method for tracking a nonparameterized subject contour in a single video stream with a moving camera and changing background. Then we present a method to eliminate the tracked contour object by replacing with the background scene we get from other frame. First we track the object using LOD (Level-of-Detail) canny edge maps, then we generate background of each image frame and replace the tracked object in a scene by a background image from other frame that is not occluded by the tracked object. Our tracking method is based on level-of-detail (LOD) modified Canny edge maps and graph-based routing operations on the LOD maps. We get more edge pixels along LOD hierarchy. Our accurate tracking is based on reducing effects from irrelevant edges by selecting the stronger edge pixels, thereby relying on the current frame edge pixel as much as possible. The first frame background scene is determined by camera motion, camera movement between two image frames, and other background scenes are computed from the previous background scenes. The computed background scenes are used to eliminate the tracked object from the scene. In order to remove the tracked object, we generate approximated background for the first frame. Background images for subsequent frames are based on the first frame background or previous frame images. This approach is based on computing camera motion. Our experimental results show that our method works nice for moderate camera movement with small object shape changes.
A Study on VoiceXML Application of User-Controlled Form Dialog System
Kwon, Hyeong-Joon ; Roh, Yong-Wan ; Lee, Hyon-Gu ; Hong, Hwang-Seok ;
The KIPS Transactions:PartB, volume 14B, issue 3, 2007, Pages 183~190
DOI : 10.3745/KIPSTB.2007.14-B.3.183
VoiceXML is new markup language which is designed for web resource navigation via voice based on XML. An application using VoiceXML is classified into mutual-controlled and machine-controlled form dialog structure. Such dialog structures can't construct service which provide free navigation of web resource by user because a scenario is decided by application developer. In this paper, we propose VoiceXML application structure using user-controlled form dialog system which decide service scenario according to user's intention. The proposed application automatically detects recognition candidates from requested information by user, and then system uses recognition candidate as voice-anchor. Also, system connects each voice-anchor with new voice-node. An example of proposed system, we implement news service with IT term dictionary, and we confirm detection and registration of voice-anchor and make an estimate of hit rate about measurement of an successive offer from information according to user's intention and response speed. As the experiment result, we confirmed possibility which is more freely navigation of web resource than existing VoiceXML form dialog systems.
Marker Recognition System for the User Interface of a Serious Case
So, In-Mi ; Kang, Sun-Kyung ; Kim, Young-Un ; Jung, Sung-Tae ;
The KIPS Transactions:PartB, volume 14B, issue 3, 2007, Pages 191~198
DOI : 10.3745/KIPSTB.2007.14-B.3.191
In this paper, we present a marker detection and recognition method from camera image for a disabled person to interact with a server system which can control appliance of surrounding environment. It converts the camera image to a binary image by using multi-threshold and extracts contours of objects in the binary image. After that, it approximates the contours to a list of line segments. It finds rectangular markers by using geometrical features which are extracted from the approximated line segments. It normalizes the shape of extracted markers into exact squares by using the warping technique. It extracts feature vectors from marker image by using principal component analysis and then recognizes the marker. The proposed marker recognition system is robust for light change by using multi-threshold. Also, it is robust for angular variation of camera by using warping technique and principal component analysis. Experimental results show that the proposed method achieves 100% recognition rate at maximum for 21 markers and execution speed of 12 frames/sec.
Automated Composition of Semantic Web Services Based on Reactive Planning
Jin, Hoon ; Kim, In-Cheol ;
The KIPS Transactions:PartB, volume 14B, issue 3, 2007, Pages 199~214
DOI : 10.3745/KIPSTB.2007.14-B.3.199
Recently, there have been a lot of works trying to realize automated composition of semantic web services though application of AI planning techniques. The traditional AI planning techniques, however, have some limitations: it is not easy to represent a web service process with complex control constructs as an action or a plan; it is hardly possible to consider enough the rich information contained in domain ontologies during the planning process; it is impossible to model directly the data flow from the outputs of a web service to the inputs of another web service; it is difficult to predict and deal with uncertainty and dynamics of the environment because the plan generation phase is supposed to be separated from the plan execution phase. In order to overcome some of these limitations, this paper suggests a reactive planning approach to automated composition of semantic web services. Through some experiments using several e-commerce web services, we found that the reactive planning is an effective way to realize automated composition of semantic web services.
The Modified ART1 Network using Multiresolution Mergence : Mixed Character Recognition
Choi, Gyung-Hyun ; Kim, Min-Je ;
The KIPS Transactions:PartB, volume 14B, issue 3, 2007, Pages 215~222
DOI : 10.3745/KIPSTB.2007.14-B.3.215
As Information Technology growing, the character recognition application plays an important role in the ubiquitous environment. In this paper, we propose the Modified ART1 network using Multiresolution Mergence to the problems of the character recognition. The approach is based on the unsupervised neural network and multiresolution. In order to decrease noises and to increase the classification rate of the characters, we propose the multiresolution mergence strategy using both high resolution and low resolution information. Also, to maximize the effect of multiresolution mergence, we use a modified ART1 method with a different similarity measure. Our experimental results show that the classification rate of character is quite increased as well as the performance of the propose algorithm in conjunction with the similarity measure is improved comparing to the conventional ART1 algorithm in this application.
Building an Automated Scoring System for a Single English Sentences
Kim, Jee-Eun ; Lee, Kong-Joo ; Jin, Kyung-Ae ;
The KIPS Transactions:PartB, volume 14B, issue 3, 2007, Pages 223~230
DOI : 10.3745/KIPSTB.2007.14-B.3.223
The purpose of developing an automated scoring system for English composition is to score the tests for writing English sentences and to give feedback on them without human's efforts. This paper presents an automated system to score English composition, whose input is a single sentence, not an essay. Dealing with a single sentence as an input has some advantages on comparing the input with the given answers by human teachers and giving detailed feedback to the test takers. The system has been developed and tested with the real test data collected through English tests given to the third grade students in junior high school. Two steps of the process are required to score a single sentence. The first process is analyzing the input sentence in order to detect possible errors, such as spelling errors, syntactic errors and so on. The second process is comparing the input sentence with the given answer to identify the differences as errors. The results produced by the system were then compared with those provided by human raters.
Automatically Extracting Unknown Translations Using Phrase Alignment
Kim, Jae-Hoon ; Yang, Sung-Il ;
The KIPS Transactions:PartB, volume 14B, issue 3, 2007, Pages 231~240
DOI : 10.3745/KIPSTB.2007.14-B.3.231
In this paper, we propose an automatic extraction model for unknown translations and implement an unknown translation extraction system using the proposed model. The proposed model as a phrase-alignment model is incorporated with three models: a phrase-boundary model, a language model, and a translation model. Using the proposed model we implement the system for extracting unknown translations, which consists of three parts: construction of parallel corpora, alignment of Korean and English words, extraction of unknown translations. To evaluate the performance of the proposed system we have established the reference corpus for extracting unknown translation, which comprises of 2,220 parallel sentences including about 1,500 unknown translations. Through several experiments, we have observed that the proposed model is very useful for extracting unknown translations. In the future, researches on objective evaluation and establishment of parallel corpora with good quality should be performed and studies on improving the performance of unknown translation extraction should be kept up.