• Journal of the Institute of Electronics Engineers of Korea SC
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• v.44 no.4 s.316
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• pp.48-54
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• 2007

Hand shape is one of important elements in Korean Sign Language (KSL), which is a communication method for the deaf. To express sign motion in a virtual reality environment based on OpenGL, we need an editor which can insert and modify sign motion data. However, it is very difficult that people, who lack knowledge of sign 1anguage, exactly edit and express hand shape using the existing editors. We also need a program to efficiently construct and store the hand shape data because the number of data is very large in a sign word dictionary. In this paper we developed a KSL hand shape editor to easily construct and edit hand shape by a graphical user interface (GUI), and to store it in a database. Hand shape codes are used in a sign word editor to synthesize sign motion and decreases total amount of KSL data.

• Composites Research
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• v.25 no.3
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• pp.76-81
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• 2012

Atmospheric pressure plasma treatment on carbon nanotube (CNT) surfaces was performed to modify reinforcement effect and interfacial adhesion of carbon fiber reinforced CNT-phenolic composites. The surface changes occurring on CNT treated with plasma were analyzed by using Fourier transform infrared spectroscope (FT-IR). The significant improvement of wettability on CNT was confirmed by static contact angle test after plasma treatment. Such plasma treatment resulted in a decrease in the advancing contact angle from $118^{\circ}$ to $60^{\circ}$. The interfacial adhesion between carbon fiber and CNT-phenolic composites increased by plasma treatment based on apparent modulus test results during quasi-static tensile strength. Furthermore, the proposed database offers valuable knowledge for evaluating interfacial shear strength (IFSS).

• Korean Journal of Social Welfare
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• v.45
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• pp.7-39
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• 2001

This paper examines the effect of active labor market policy on the unemployment rates in 8 welfare states. This paper focuses on the following questions: what are the major predictors of the changes in unemployment rates?; and what is the effect of active labor market policy in reducing unemployment rates? Using the data from Comparative Welfare States Data Set by Stephens (1997), Key Indicators of the Labour Market by ILO (1999) and Social Expenditure Database by OECD (1999), this paper attempts to answer the above research questions. Fuller-Battese model, a data analysis method in pooled cross-sectional time-series analysis, is adopted to identify variables predicting changes in unemployment rates. This paper analyzes the predictors by using 3 analysis models about 2 types of unemployment (overall unemployment and long term unemployment). Results are as follows: (1) economic variable such as changes in GDP has a positive effect in reducing unemployment rates; (2) active labor market policy has a positive effect in reducing unemployment rates as well; (3) job brokering service among 3 major active labor market programs has a positive effect in reducing unemployment rates; and (4) there is an interaction effect between unemployment benefit level and active labor market policy in reducing unemployment rates. Through the empirical analysis, this paper provides valuable knowledge about effects of active labor market policy on unemployment in 8 welfare states and discusses implications for the active labor market policy in Korea.

• Geotechnical Engineering
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• v.10 no.3
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• pp.79-96
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• 1994

A tunnel design expert system entitled NESTED is developed using the artificial neural network. The expert system includes three neural network computer models designed for the stability assessment of underground openings and the estimation of correlation between the RMR and Q systems. The expert system consists of the three models and the computerized rock mass classification programs that could be driven under the same user interface. As the structure of the neural network, a multi -layer neural network which adopts an or ror back-propagation learning algorithm is used. To set up its knowledge base from the prior case histories, an engineering database which can control the incomplete and erroneous information by learning process is developed. A series of experiments comparing the results of the neural network with the actual field observations have demonstrated the inferring capabilities of the neural network to identify the possible failure modes and the support timing. The neural network expert system thus complements the incomplete geological data and provides suitable support recommendations for preliminary design of tunnels in rock masses.

• Journal of the Korean Society of Safety
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• v.33 no.4
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• pp.54-61
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• 2018

Objective: The current study aimed to investigate the accessibility and usability of the disabled person while using the everyday facility. Background: The national laws regulated accommodation of persons with disabilities, but our knowledge on the practical usefulness of the laws and acceptance by the users is still far from complete. Method: Compliance with laws was checked throughout the actual measurement of 87 engineering designs in the facilities of a national university, and the practical usability of the facilities was investigated by in-depth interviews with eight disabled persons. New design solutions were developed by the anthropometric methodology for better accommodation. The target-specific anthropometry database such as sitting knee height with wheelchair was employed. Results: First, the statistic showed that 28.7% of facility designs comply with the law, 29.9% of facility designs doesn't comply with the law, and 41.4% of facility designs doesn't have related law or regulation. Second, the law of table height(71cm in current) can accommodate only 49.3% of wheelchaired population. The following test for 95% accommodation revealed that the table with 80cm high is required. Third, the current law in the door width(90cm) can only accommodate 82.6% of disabled persons, so the new design solution was calculated and suggested that 100cm in the door width is necessary for 99% accommodation of disabled persons. Conclusion: Even with the laws and regulations for the disabilities it was clear that the accessibility and usability of the disabled persons in everyday facilities was still limited. An investigation for the new solutions about a wide range of facilities is necessary for better practical accessibility and usability of the handicapped persons. Application: The results of current study can be a basement of developing a new guideline or regulation of the facility design for the disabled persons.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.34 no.2B
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• pp.130-142
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• 2009

In this paper, we propose a self-adaptation framework that selects a TCP variant adapted to current end-to-end path among available TCP variants. There is no single version of TCP that is suitable to all network environments since the causes for performance degradation are different one another according to characteristics of network environments. Thus, determining that which TCP variants should be selected in order to get best performance is very important. To enable adaptation through such determination, we integrate the existing network estimation schemes and some TCP variants into our framework then make light-weight performance knowledge database for TCP selection. Through implementing and evaluating the proposed framework we show that our solution can help TCP get high and stable performance on the various types of network environments by pure end-to-end.

• Convergence Security Journal
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• v.10 no.1
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• pp.49-53
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• 2010

Recently multimedia has been formed, provided, and shared enough not to compare with the past, due to the proliferation of Internet and the development of hardware relating to multimedia. Accordingly to internationally give a proper expression to metadata of multimedia, the standard of MPEG-7 has been established, and researches for image search among various data of multimedia using MPEG-7 are going on. Thus there are meaning-based search. In the former there is a merit that search speed is fast, but technology and accuracy by technical knowledge on the image. In the latter the accuracy of search is decreasing because of not understanding the meaning about image and the internet of users. In this study to solve these problems a search system has been designed by combining the two methods. Also the search and manage image data by handheld devices such as portable PDA or smart phone, a system. Once this is used, multimedia data can be efficiently searched and utilized by handheld devices.

• Journal of the Korea Society of Computer and Information
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• v.10 no.4 s.36
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• pp.65-75
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• 2005

Moving-objects databases should efficiently support database queries that refer to the trajectories and positions of continuously moving objects. To improve the performance of these queries. an efficient indexing scheme for continuously moving objects is required. To my knowledge, range queries on current positions cannot be handled by the 3D R-tree and the TB-tree. In order to handle range queries on current and past positions. I modified the original 3D R-tree to keep the now tags. Most of spatio-temporal index structures suffer from the fact that they cannot efficiently process range queries past positions of moving objects. To address this issue. we propose an access method, called the Tagged Adaptive 3DR-tree (or just TA3DR-tree), which is based on the original 3D R-tree method. The results of our extensive experiments show that the Tagged Adaptive 3DR-tree outperforms the original 3D R-tree and the TB-tree typically by a big margin.

• The Journal of Information Systems
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• v.8 no.1
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• pp.149-176
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• 1999

Regional information infrastructure(RII) plays an increasingly important role in determining the competitiveness of companies operating within the region. The purposes of this research are (1) to identify the types of RII demanded by the companies operating within Pusan and KyungNam areas in Republic of Korea, (2) to explain the levels of RII demand using variables including organizational environment, organizational strategy, and the importance of information systems for the organization, and (3) to examine whether the types of RII demand are different depending on the competition strategies that companies are pursuing. The most important type of RII that region companies demand is information systems personnel having knowledge in systems control, systems planning, communication network, database administration, and system construction. In addition, demanded are TSDN, satellite communication network, and shareable software and hardware. The levels of RII demand are different depending on the importance of information systems(IS) roles for the businesses. The more important IS role is for a company, the more sharable computing equipments and facilities are demanded. The importance of IS role is affected by the organizational environment and organizational strategy. The levels of RII demand are different also depending on the competitive advantages that companies are pursuing. Companies focusing on achieving short-term and direct benefits using information technology tend to have higher demands on sharable computing equipments and facilities as well as on information communication services. This research is explorative in nature One major limitation of this research, therefore, is that the plausibility of the postulated hypotheses was not examined simultaneously. This research is meaningful in that it first attempted to measure the demands of regional companies for RII.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.39 no.2
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• pp.116-127
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• 2002

A new approach to improve the speaker adaptation algorithm by means of the variable number of observation density functions for CDHMM speech recognizer has been proposed. The proposed method uses the observation density function with more than one mixture in each state to represent speech characteristics in detail. The number of mixtures in each state is determined by the number of frames and the determinant of the variance, respectively. The each MAP Parameter is extracted in every mixture determined by these two methods. In addition, the state segmentation method requiring speaker adaptation can segment the adapting speech more Precisely by using speaker-independent model trained from sufficient database as a priori knowledge. And the state duration distribution is used lot adapting the speech duration information owing to speaker's utterance habit and speed. The recognition rate of the proposed methods are significantly higher than that of the conventional method using one mixture in each state.