• The Transactions of the Korea Information Processing Society
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• v.7 no.8
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• pp.2327-2340
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• 2000

Existing bulk loading algorithms for multi-dimensional index structures suffer from satisfying both index construction time and retrieval perfonnancc. In this paper, we propose an efficient bulk loading algorithm to construct high dimensional index structures for large data set that overcomes the problem. Although several bulk loading algorithms have been proposed for this purpose, none of them improve both constnlCtion time and search performance. To improve the construction time, we don't sort whole data set and use bisectiou algorithm that divides the whole data set or a subset into two partitions according to the specific pivot value. Also, we improve the search performance by selecting split positions according to the distribution properties of the data set. We show that the proposed algorithm is superior to existing algorithms in terms of construction time and search perfomlance through various experiments.

• The Journal of the Korea institute of electronic communication sciences
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• v.5 no.1
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• pp.23-30
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• 2010

The H.264/AVC is increasingly used in broadcast video applications such as Internet Protocol television (IPTV), digital multimedia broadcasting (DMB) because of high compression performance. But the H.264/AVC coded video can be delivered to the widespread end-user equipment for MPEG-2 after transcoding between this video standards. This paper suggests a new transcoding algorithm for H.264/AVC to MPEG-2 transcoder that uses motion vector clustering in order to reduce the complexity without loss of video quality. The proposed method is exploiting the motion information gathered during h.264 decoding stage. To reduce the search space for the MPEG-2 motion estimation, the predictive motion vector is selected with a least distortion of the candidated motion vectors. These candidate motion vectors are considering the correlation of direction and distance of motion vectors of variable blocks in H.264/AVC. And then the best predictive motion vector is refined with full-search in ${\pm}2$ pixel search area. Compared with a cascaded decoder-encoder, the proposed transcoder achieves computational complexity savings up to 64% with a similar PSNR at the constant bitrate(CBR).

• Journal of the Korean Society of Costume
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• v.61 no.2
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• pp.47-59
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• 2011

This study provides a systematic investigation about objective personal image consulting, tool development and image-making research by analyzing the status of the Korean image-consulting industry and education. For the research, we carried out literature surveys of books on image consulting and previous research reports. In particular, we surveyed image consulting businesses that have internet web sites, and educational institutes. The results of the survey are as follows: First, domestic image consulting businesses in Korea are investigated about 93 private companies and 4 associations. They do the image making, color consulting, and education for individuals and business. Second, professional image consulting education is carried out not only in the 93 private companies, but also in the continuing and professional studies for adults of 10 universities. Furthermore, more then 90 universities have specific academic programs related to the image consulting such as facial management, beauty coordination, cosmetology, stylists, fashion events, broadcasting stylists, and so on. Third, a typical image consulting job is the personal shoppers who assists VIP customers in department stores. Professionals and politicians have personal fashion stylists for their image making. Today, the job has expanded to public fashion therapist. Fourth, the contents of an image consulting education have appeared in similar industries and educations. These contents include fashion styles, personal color analysis, make-up, facial expressions, gestures, perfumes, accessories, etc. This study is based on research on the current Korean image-consulting industry, and will enable follow-up details to be implemented. using the basis of this study for a strategic self-image formation system.

• International journal of advanced smart convergence
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• v.5 no.3
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• pp.66-71
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• 2016

Smart building gate security control system using smartphone integrated with near field communication (NFC) has become part of daily life usage these days. The technology change in replacing RF NFC device using visible light communication technology based approach growing faster in recent days. This paper propose a design and development of gate security control system using color code based user authentication ID generation as part of an intelligent access control system to control automatic door open and close. In this approach gate security access control use the recent visible light communication technology trends to transfer the user specific authentication code to door access control system using color code on smartphone screen. Using a camera in the door access control system (ACS), color codes on smartphone screens are detected and matched to the database of authenticated user to open the door automatically in gate security system. We measure the visual light communication technology efficiency as a part of the research and the experiments have revealed that more than 95% users authenticated correctly at the suggested experiment environment on gate security control system.

• International journal of advanced smart convergence
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• v.5 no.3
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• pp.56-60
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• 2016

Body physical technique is to pursuit the dynamic motion by the physical index(PI) and sensory index(SI) on the physical body function. Function of the physical body by the motor condition is organized the dynamic physical system. For the physical motion of signal, we is defined a runout value of the body function by the physical index on the dynamic state. The concept of body physical index was identified the reference of physical index and sensory index by the body technique. As to detect a variation of the body physical technique-runout physical index(BPT-RPI) of the maximum and average and minimum in terms of physical motion, and the dynamic sensory value that was a runout function of the vision variation of the $Vi-{\xi}_{MAX-AVG-MIN}$ with $2.53{\pm}4.85$ units, that was a runout function of the vestibular variation of the $Ve-{\xi}_{MAX-AVG-MIN}$ with ($-0.69{\pm}2.32$)units, that was a runout function of the somatosensory variation of the $So-{\xi}_{MAX-AVG-MIN}$ with ($-1.43{\pm}-1.36$) units. The dynamic physical motion will be to confirm at the variable function of the runout motion for the body function values of dynamic physical index on the BPT-RPI that was identified an evaluation of the physical sensory function by the dynamic physical system. Runout body system was mentioned of a physical body situation by the mild moving and was refer a runout data of dynamic physical nervous index.

• International journal of advanced smart convergence
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• v.9 no.1
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• pp.185-192
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• 2020

The number of dementia patients in Korea is expected to increase to 3.30 million in 2050, and the cost of dementia management will increase sharply to KRW 106.5 trillion of GDP. In August 2017, the Moon Jae-in government announced the 'Dementia National Responsibility System' through a five-year plan for government operation and expanded the Dementia Peace Center nationwide. However, for this, strategic dementia-related technology development strategies should be established and given the role of government and the role of the private sector. Therefore, in order to derive the corresponding strategy, this study developed the government's 'dementia' response technology development strategy through the situation analysis from the political, economic, social, and technological perspective and the environmental (PEST) analysis of the strengths, weaknesses, opportunities, and threats (SWOT). As a result, the direction of technology development in the dementia-related medical device market is expected to become a trend of developing dementia self-measurement by developing low-cost and high-efficiency diagnostic technology products. It has been shown that the development of various products for consumers should begin. As a result, the dementia market approach strategy should be premised, the related technical support and legal restrictions should be minimized, and the education of related experts should be strengthened to solve the government's development of dementia technology and the social problems of dementia. In addition, by developing joint projects with major companies around the world and actively participating in the technology platform, it is important to naturally build up skills accumulation for the development of dementia technology and competence skills of dementia technology experts in the long term.

• International journal of advanced smart convergence
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• v.9 no.1
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• pp.1-9
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• 2020

This study was conducted to investigate the effects of computer attitudes such as anxiety, confidence, preference, usefulness, and computer literacy on their critical thinking ability, targeting college students at unspecified university universities. The period of data collection was from January 10, 2020 to January 17, 2020. A total of 213 people participated in the study. For data analysis, SPSS 18.0 was used for frequency analysis, Pearson correlation, x2 square, and simple regression analysis. As a result of the analysis, the difference of interests under the statistical significance level among general characteristics was Gender (x²=55.7^***, p<0.001), Age (x²=407.5^***, p<0.001), Resident (x²=127.5^***, p<0.001) Family (x²=289.4^***, p<0.001). In the simple regression analysis, computer liking (t=2.102, p<0.05) and computer use ability affected Truth seeking (t=-6.319, p<0.01), computer use ability was affecting analyticity (t=-5.630, p<0.01), computer use ability was affecting systematicity (t=-2.545, p<0.05), computer use ability was affecting maturity under statistical significance (t=-2.583, p<0.05). In conclusion, this study suggests that computer liking and computer use ability affect the sub-factor components of critical thinking disposition, truth seeking, analyticity, systematicity, and maturity, therefore the emphasis of this study is to emphasize that it is desirable to use the computer as a medium of learning based on computer literacy rather than worrying about excessive computer use.

• International journal of advanced smart convergence
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• v.9 no.1
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• pp.82-89
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• 2020

This study is a design study related to the application of 3D printer technology for garment printing. Knitting, which used to be a home industry in the early days, originally comes from hand-knitting. This evolved with various personal devices as a small job for the self-sufficiency of early European housewives. In addition, since the Industrial Revolution, mechanical production entered the mass production mass supply system, and various apparel products were provided to consumers in accordance with mass standardized dimensions. This is similar to the development process in Korea. In addition, it has formed a considerable market with the situation that it can produce and supply apparel products at low labor costs of first-generation Namdaemun and Dongdaemun merchants. As the production shifted to the Southeast Asian region due to the increase in labor costs in the domestically developed social situation, the production of garment products in Korea is now almost 5%. As a result, apparel-related production facilities and related companies are constantly moving to other countries to move production facilities sensitively due to rising labor costs. Recently, smart factory automation has been planned to explore new possibilities. In addition, in recent years, with the evolved appearance of consumers, the appropriate supply of the right amount of production has appeared, and the 3D printer applied to personal garment output has attracted considerable interest in the customized market. Therefore, in order to become a new hope and a small addition to various clothing workers, this study conducted related research on the following 3D printers for clothing output and attempted to proceed with a new design.

• International journal of advanced smart convergence
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• v.9 no.1
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• pp.154-162
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• 2020

We studies show that ratio of corpse among cremated bodies in public cremation facilities in metropolitan cities using E-Haneul funeral information system is average 90.1%, which is high, in bigger metropolitan cities with over 2 million of population (Incheon, Busan, and Daegu), but is average 81.4%, which is relatively low, in smaller metropolitan cities with less than 2 million of population(Daejeon, Gwangju, and Ulsan). In addition, the cremated bodies ratio of opening remains is average 17.4% in smaller metropolitan cities with less than 2 million of population, but is average 8.9% in those with over 2 million of population, which is relatively low. Finally, the cremated bodies ratio of dead fetuses is average 1.2% in smaller metropolitan cities with less than 2 million of population, and average 1.0% in those with over 2 million of population, which is low. Based on the above result, we are the following suggestions to improve the effectiveness of funeral facility use by the increase of demand for public cremation facilities in metropolitan cities. First, Busan and Daegu, where the shortage of supply is expected due to the increase of demand for cremation of corpse, need to implement supply expansion policy of public cremation facilities to build or expand cremation furnaces. Second, Daejeon, Gwangju, and Ulsan, where the cremated bodies ratio of corpse is low, need to expand supply through expanded operation from existing 4~8 cremation numbers of public cremation facilities to 11 cremation numbers, which is the level of Seoul Metropolitan City. Third, there should be cremation furnaces exclusively for opening remains to prepare the increase of demand for opening remains in the years with leap month.

• International journal of advanced smart convergence
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• v.5 no.2
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• pp.53-58
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• 2016

With the growing use of big data and data mining, it serves to understand how such techniques can be used to understand various relationships in the healthcare field. This study uses hierarchical methods of data analysis to explore similarities in hospitalization across several New York state counties. The study utilized methods of measuring crowding distance of data for age-specific hospitalization period. Crowding distance is defined as the longest distance, or least similarity, between urban cities. It is expected that the city of Clinton have the greatest distance, while Albany the other cities are closer because they are connected by the shortest distance to each step. Similarities were stronger across hospital stays categorized by age. Hierarchical clustering can be applied to predict the similarity of data across the 10 cities of hospitalization with the measurement of crowding distance. In order to enhance the performance of hierarchical clustering, comparison can be made across congestion distance when crowding distance is applied first through the application of converting text to an attribute vector. Measurements of similarity between two objects are dependent on the measurement method used in clustering but is distinguished from the similarity of the distance; where the smaller the distance value the more similar two things are to one other. By applying this specific technique, it is found that the distance between crowding is reduced consistently in relationship to similarity between the data increases to enhance the performance of the experiments through the application of special techniques. Furthermore, through the similarity by city hospitalization period, when the construction of hospital wards in cities, by referring to results of experiments, or predict possible will land to the extent of the size of the hospital facilities hospital stay is expected to be useful in efficiently managing the patient in a similar area.