• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.28 no.2
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• pp.92-99
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• 2014

The paper is related to smart maximum power system based on program logic. Especially, this system compares the total demand power with the target power by using the signal from the digital kilo watt meter. Based on the power information by the maximum power control equipment the consumed future power is anticipated. In addition, through consumed future power the controllable target power is set, and it applies on the maximum power control equipment. User or manager would control the load efficiently through the simple programming which could control load based on the control sequence and relay. To begin with the conventional maximum power control algorithm is surveyed, and the smart maximum power control system based on program logic is used, and the new algorithm from full load to proportion shut down is proposed by using PLC program. the validity of the proposed control scheme is investigated by both simulation results.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.7 no.4
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• pp.598-603
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• 2003

This paper presents a sub-band feature extraction approach in which the feature extraction method in the individual frequency sub-bands is determined in terms of speech recognition accuracy. As in the multi-band paradigm, features are extracted independently in frequency sub-regions of the speech signal. Since the spectral shape is well structured in the low frequency region, the all pole model is effective for feature extraction. But, in the high frequency region, the nonparametric transform, discrete cosine transform is effective for the extraction of cepstrum. Using the sub-band specific feature extraction method, the linguistic information in the individual frequency sub-bands can be extracted effectively for automatic speech recognition. The validity of the proposed method is shown by comparing the results of speech recognition experiments for our method with those obtained using a full-band feature extraction method.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.7
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• pp.1415-1422
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• 2011

In this paper, full color billboards for the efficient expression of the resolution to offer dual-scanning control method, using the LED display it on a fixed pixel video signal to the pixel dot pattern was changed. And DICT(Dynamic Image Correction Technology) using the main controller in accordance with video information, histogram equalization of image gray scale values to be uniformly distributed, and dynamically improves image quality by converting the area, and a dual auto-scan input video switching controller board as the pixels in the LED Module by controlling the physical manifestation of the existing board LED pixel dots than 4 times the resolution proposes a technique that can be expressed and made it through testing verified the performance.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2003.10a
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• pp.3-3
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• 2003

With biomedical literature expanding so rapidly, there is an urgent need to discover and organize knowledge extracted from texts. Although factual databases contain crucial information the overwhelming amount of new knowledge remains in textual form (e.g. MEDLINE). In addition, new terms are constantly coined as the relationships linking new genes, drugs, proteins etc. As the size of biomedical literature is expanding, more systems are applying a variety of methods to automate the process of knowledge acquisition and management. In my talk, I focus on the project, GENIA, of our group at the University of Tokyo, the objective of which is to construct an information extraction system of protein - protein interaction from abstracts of MEDLINE. The talk includes (1) Techniques we use fDr named entity recognition (1-a) SOHMM (Self-organized HMM) (1-b) Maximum Entropy Model (1-c) Lexicon-based Recognizer (2) Treatment of term variants and acronym finders (3) Event extraction using a full parser (4) Linguistic resources for text mining (GENIA corpus) (4-a) Semantic Tags (4-b) Structural Annotations (4-c) Co-reference tags (4-d) GENIA ontology I will also talk about possible extension of our work that links the findings of molecular biology with clinical findings, and claim that textual based or conceptual based biology would be a viable alternative to system biology that tends to emphasize the role of simulation models in bioinformatics.

• International Journal of Costume and Fashion
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• v.4
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• pp.101-111
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• 2004

This study was undertaken to discuss the traditional Korean Costumes up to the present and into the future, focusing on the internationalization by accentuating its aesthetic nature. In order to introduce the beauty of traditional Korean costume to the rest of the world, it is required that Korean fashion industry go through a full-scale renovation so that it can be concord with the contemporary world of information-technology. By having a deeper knowledge and understanding of the aesthetics in traditional costume and using them as guidelines, the present Korean fashion industry can accomplish an advanced level of research and development. The implications of the study are as follows. 1) It is important to recognize the functional aesthetics sociality of traditional costumes and to utilize it through appropriate application. 2) It is imperative to comprehend plasticity and expresiveness of meanings of traditional costumes. 3) Rationality and practicality of uniplanar character of the traditional costumes should also be recognized. 4) The globalization of the traditional Korean costumes will become more suitable to today's information-technology society and recreation of korean costumes by establishing a database through collecting information and systematic analysis of the world fashion trends.

• Journal of Intelligence and Information Systems
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• v.6 no.2
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• pp.29-40
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• 2000

Process planning (selection and ordering of processes) and material selection for product manufacturing are two key things determined before taking full-scale manufacturing. Knowledge on product design. material characteristics, processes, time and cost all-together are mutually related and should be considered concurrently. Due to the complexity of problem, human experts have got only one of the feasilbe solutions with their field knowledge and experiences. We propose a hierarchical expert system framework of knowledge representation and reasoning in order to overcome the complexity. Manufacturing processes have inherently hierarchical relationships, from top level processes to bottom level operation processes. Process plan of one level is posted in process blackboard and used for lower level process planning. Process information on blackboard is also used to adjust the process plan in order to resolve the dead-end or inconsistency situation during reasoning. Decision variables for process, material, tool, time and cost are represented as object frames, and their relationships are represented as constraints and rules. Constraints are for relationship among variables such as compatibility, numerical inequality etc. Rules are for causal relationships among variables to reflect human expert\`s knowledge such as process precedence. CRSP(Constraint and Rule Satisfaction Problem) approach is adopted in order to obtain solution to satisfy both constraints and rules. The trade-off procedure gives user chances to see the impact of change of important variables such as material, cost, time and helps to determine the preferred solution. We developed the prototype system using visual C++ MFC, UNIK, and UNlK-CRSP on PC.

• Korean Journal of Head & Neck Oncology
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• v.26 no.2
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• pp.198-203
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• 2010

Objectives : Getting full information from axial CT images needs experiences and knowledge. Sagittal and coronal images could give more information but we have to draw 3-dimensional images in mind with above informations. With aid of 3D reconstruction softwares, CT data are converted to visible 3D images. We tried to compare medical photographs of 15 surgical specimens from neck tumors with 3D reconstructed images of same patients. Material and Methods : Fifteen patients with neck tumors treated surgically were recruited. Medical photograph of the surgical specimens were collected for comparison. 3D reconstruction of neck CT from same patients with aid of 3D-doctor software gave 3D images of neck masses. Width and height of tumors of each photos and images from the same cases were calculated and compared statistically. Visual similarities were rated between photos and 3D images. Results : No statatistical difference were found in size between medical photos and 3D images. Visual similarity score were higher between 2 groups of images. Conclusion : 3D reconstructed images of neck mass looked alike the real photographs of excised neck mass with similar calculated sizes. It could give us reliable visual information about the mass.

• The Korean Journal of Health Service Management
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• v.7 no.3
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• pp.29-44
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• 2013

The purpose of this study is to give the users, who wants to know the information about CPR and AED on the Internet, more accurate information which is analyzed and considered with the factors to improve the contents of them. The source of the instrument for this study is from the contents of twenty four websites which is able to join in and searched by the Web Search Engine with four keywords: 'Cardiopulmonary Resuscitation', 'CPR', 'Automated External Defibrillator', and 'AED'. According to the results of the study, frequency questions of more than 50% among 53 questions on whether to suggest were investigated as 22 questions from content analysis results of the websites, and it showed that the highest frequency, which were examined to that chest compressions and respiratory rate; 79.2%. The correctness of the contents of the all websites of the study is as low as 36.00 point full marks at 100 points.

• Journal of Korea Multimedia Society
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• v.1 no.2
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• pp.162-172
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• 1998

In this paper, we implement a gigabyte Hangul text retrieval engine HMG(Hangul MG) which is based on the English text retrieval engine MG(Managing Gigabytes) and the Hangul lexical analyzer HAM(Hangul Analysis Module). To support Hangul information, we use the KSC 5601 code in the database construction and query processing stages. The lexical analyzer, parser, and index construction module of the MG system are modified to support Hangul information. To show the usefulness of HMG system, we implemented a NOD(Novel On Demand) system supporting the retrieval of Hangul novels on the WWW. The proposed system HMG can be utilized in the construction of massive full-text information retrieval systems supporting Hangul.

• Journal of Korean Library and Information Science Society
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• v.32 no.4
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• pp.419-447
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• 2001

This study is to analyze a cost-benefit and a cost-effectiveness on the basis of number full-text downloaded from IDEAL in the electronic journals consortium of Y University Library during 2000. The result of this study shows that Y University Library used more the combined print and electronic journals than only electronic journals, and in the case of the analysis on the cost-benefit, there was no benefit, but the cost-effectiveness was very high. Based upon the result of this study, it suggests that academic libraries request a trial from the information agency and carry out user instruction analysis of varied use statistics, user satisfaction survey so as to promote use of electronic journals.