• Journal of the Korea Society of Computer and Information
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• v.24 no.4
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• pp.129-136
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• 2019

The purpose of this study was to provide basic data necessary for the development of clothing that can improve the satisfaction of body shape of elderly men by examining subjective characteristics and characteristics of perception type of older men's body shape. Using the Q methodology, I investigated and analyzed the process of formation and main characteristics of subjectivity of various types of recognition that elderly men express about their body shape. There were four types of perception of body shape in elderly men: flat hip and bird legs skinny body, back bent and abdominal obese body, thick neck and upper body development body, forward cervical neck and protruding abdomen obese body. The actual body shape of elderly men was classified according to the bust, waist circumference, hip circumference, and body part angle. But recognition body shape of elderly men was classified by visual factors like the abdomen, the angle of the neck, the inclination of the back, the slope of the waist, and the degree of obesity. It is necessary to consider the trend of silver fashion which is increasing in demand. In addition, it is necessary to develop clothing patterns of comfortable fit through ergonomic study on the physical characteristics of older men. Consideration should be given to the design and pattern that can reduce the difference between the ideal body shape and the body shape recognized by older men.

• Acta Via Serica
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• v.5 no.2
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• pp.111-140
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• 2020

This paper focuses on the emerging patterns of educational mobility and unskilled labor migration from Uzbekistan to Japan and South Korea. Labor migration and educational mobility are becoming the next "horizon" in the expanded relationship between East and Central Asia, powered by several factors, including the efforts by Japan and South Korea to build "original" people-oriented policy engagements with the region and the demand from Central Asian states, such as Uzbekistan, to provide more labor opportunities to their young and growing populations. This paper presents the initial findings of a pilot survey that explores and occasionally compares the experiences of Uzbek migrants to Japan and South Korea, using datasets of face-to-face interviews related to various aspects of life in Japan and South Korea. The interviews were conducted face to face and online (Telegram, Skype, etc.) with 66 migrants and Japanese language school students (whom this paper treats as labor migrants masquerading as students) in Japan from November 2019 to January 2020 as well as online with 30 laborers and students in South Korea from August to September 2020.

• Journal of Korea Society of Digital Industry and Information Management
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• v.19 no.4
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• pp.45-52
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• 2023

With the advent of deep learning, Artificial Intelligence (AI) technology has experienced rapid advancements, extending its application across various industrial sectors. However, the focus has shifted from the independent use of AI technology to its dispersion and proliferation through the open AI ecosystem. This shift signifies the transition from a phase of research and development to an era where AI technology is becoming widely accessible to the general public. However, as this dispersion continues, there is an increasing demand for the verification of outcomes derived from AI technologies. Causal AI applies the traditional concept of causal inference to AI, allowing not only the analysis of data correlations but also the derivation of the causes of the results, thereby obtaining the optimal output values. Causal AI technology addresses these limitations by applying the theory of causal inference to machine learning and deep learning to derive the basis of the analysis results. This paper analyzes recent cases of causal AI technology and presents the major tasks and directions of causal AI, extracting patterns between data using the correlation between them and presenting the results of the analysis.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.48 no.9
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• pp.40-49
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• 2011

Integrating massive components and low-power policies have been actively investigated for system-on-chip designs. But in recent years, finding the optimal interconnection structure among heterogeneous components has emerged as a critical system design issue. Therefore, various simulation tools to model interconnection designs are being developed and performance evaluation of simulation is reflected in the real design. But most of the simulation environments employ traffic generation based on the mathematical probability functions, and such traffic generation cannot fully cover for various situations that may be occurred in the real system. Therefore, the demand for traffic pattern generation based on real applications is increasing. However, there have been few simulators that adopt application-specific traffic generators. This paper proposes a novel traffic generation method in simulating various interconnection structures for multi-processor system-on-chip design. The proposed traffic generation method can generate traffic patterns that can reflect the actual characteristics of the application and evaluate the performance of an interconnection structure under more realistic circumstance than traffic patterns using mathematical probability functions. By comparing the differences between the proposed method and the one based on mathematical probability functions, this paper shows advantages of the proposed traffic generation method.

• The Journal of Information Systems
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• v.22 no.3
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• pp.25-42
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• 2013

Recently various kinds of Information Technology services are created and the quantities of the data flow are increase rapidly. Not only that, but the data patterns that we deal with also slowly becoming diversity. As a result, the demand of discover the meaningful knowledge/information through the various mining analysis such as linkage analysis, sequencing analysis, classification and prediction, has been steadily increasing. However, solving the business problems using data mining analysis does not always concerning, one of the major causes of these limitations is there are some analyzed data can't accurately reflect the real world phenomenon. For example, although the time gap of purchasing the two products is very short, by using the traditional sequencing analysis, the precedence relationship of the two products is clearly reflected. But in the real world, with the very short time interval, the precedence relationship of the two purchases might not be defined. What was worse, the sequence of the purchase intention and the sequence of the purchase realization of the two products might be mutually be reversed. Therefore, in this study, an expanded sequencing analysis methodology has been proposed in order to reflect this situation. In this proposed methodology, the purchases that being made in a very short time interval among the purchase order which might not important will be notice, and the analysis which included the original sequence and reversed sequence will be used to extend the analysis of the data. Also, to some extent a very short time interval can be defined as the time interval, so an experiment were carried out to determine the varying based on the time interval for the actual data.

• Journal of the Korea Furniture Society
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• v.16 no.1
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• pp.53-69
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• 2005

This research has a significant meaning to observe and understand the historical condition of a furniture industry and the characteristics of Korean home furniture's formation, ability, skill and materials from 1980s when there were an economic growth and a historical development of Korean home furniture occurred to present days. During 1980s, there was an automatic system available and has enforced and settled the standards on its quality and price in a furniture industry. Also, there was a big trend of black furniture as well as an entrance of corporation and high glossy furniture due to technical cooperation from Europe. In 1990s, there was an entrance of furniture which various techniques was applied due to a high development of the materials and skills, and also various sizes of height and weight and enlargement of acceptance function using highly-technological hardware. After 2000 and now, pro-environmental products is embossed in the Korean home furniture where they added a public issue which is the concept of well being, and A.I and sub material has been pro-environment. There also was a natural unity between nature and technology because of increased usage of trees with its natural patterns, metals, and glasses. For the future development of home furniture design, This problem should be promptly recognized that current home furniture designs are now on the verge of being lack of originality and are just following the market demand and recent trend as it is. Then, there should be a development of its specialized, detailed, unique design as well as a development of advanced materials, production management, distribution, and so on, and carrying out a diversified research continuously. There also should be a systematic education, which is necessary for training specialists to lead the Korean home furniture design industry as well as preparing a basic level for the future without a negligence.

• Asian-Australasian Journal of Animal Sciences
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• v.12 no.3
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• pp.481-492
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• 1999

Asian-Australasian region comprises of 82 countries spread over varying agro economic zones, habitats and ecosystems varying from dry hot to humid tropics and cold deserts. The literacy standards vary from very low to almost 100 percent. On the basis of economic development there are 4 countries Japan, Australia, New Zealand and Korea which are developed countries, rest are in varying states of development and growing economically very rapidly. Based on Agro ecosystems and farming practices, we have chosen four countries for indepth study in this paper namely China, Thailand, Indonesia and India. They represent 70% of the bovine and poultry population of the region. This paper makes a comparative study of the grain and roughage production and utilization at present and in 2000 A.D. by examining information on feed rates demand patterns and feed requirements in these four countries keeping in view the size and growth of bovine and poultry population and dietary pattern of the people. It has been observed, there has so far been no country level detailed study on the livestock feed requirements. Apart from conceptual discrepancies, most of the estimates given in various reports brought out by the national governments and international agencies do not have any scientific basis. Hence an inter-country comparison is virtually impossible on the basis of the available information. We have however, attempted to analyse the dietary pattern in the different countries, feedgrains requirements, availability of feed based on the information available from the various published and unpublished reports. We have given an inter-country comparison of feed rate and feed requirements which, however, needs to be tested by carrying out a micro level study in each selected country.

• Journal of Convergence for Information Technology
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• v.10 no.7
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• pp.41-48
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• 2020

Recently, the spreading business of AMI (Advanced Metering Infrastructure) remote metering systems in various regions of the country has been activated, and it provides various metering functions such as two-way communication and security plan functions for power demand management. Current AMI system is difficult to analyze based on the existing RDB(Relational Database) due to the increase in the size of new internal IoT devices and networks. This study proposes a new GDB(Graph Database) based failure analysis method that utilizes existing RDB data. It analyzes the correlation of new failure patterns through accumulated data such as internal thresholds and status values. As a result of GDB-based simulation, it was confirmed that RDB can predict to a new obstacle pattern that was difficult to analyze.

• Archives of Plastic Surgery
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• v.48 no.1
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• pp.121-126
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• 2021

Background Despite the wide demand for thin flaps for various types of extremity reconstruction, the thin elevation technique for anterolateral thigh (ALT) flaps is not very popular because of its technical difficulty and safety concerns. This study proposes a novel perforator-centralizing technique for super-thin ALT flaps and analyzes its effects in comparison with a skewed-perforator group. Methods From June 2018 to January 2020, 41 patients who required coverage of various types of defects with a single perforator-based super-thin ALT free flap were enrolled. The incidence of partial necrosis and proportion of the necrotic area were analyzed on postoperative day 20 according to the location of superficial penetrating perforators along the flap. The centralized-perforator group was defined as having a perforator anchored to the middle third of the x- and y-axes of the flap, while the skewed-perforator group was defined as having a perforator anchored outside of the middle third of the x- and y-axes of the flap. Results No statistically significant difference in flap thickness and dimension was found between the two groups. The arterial and venous anastomosis patterns of patients in both groups were not significantly different. Only the mean partial necrotic area showed a statistically significant difference between the two groups (centralized-perforator group, 3.4%±2.2%; skewed-perforator group, 15.8%±8.6%; P=0.022). Conclusions The present study demonstrated that super-thin ALT perforator flaps can be elevated safely, with minimal partial necrosis, using the perforator-centralizing technique.

• KIPS Transactions on Computer and Communication Systems
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• v.3 no.7
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• pp.219-230
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• 2014

In the cloud computing environment, cloud service users purchase and use the virtualized resources from cloud resource providers on a pay as you go manner. Typically, there are two billing plans for computing resource allocation adopted by large cloud resource providers such as Amazon, Gogrid, and Microsoft, on-demand and reserved plans. Reserved Virtual Machine(VM) instance is provided to users based on the lengthy allocation with the cheaper price than the one of on-demand VM instance which is based on shortly allocation. With the proper mixture allocation of reserved and on-demand VM corresponding to users' requests, cloud service providers are able to reduce the resource allocation cost. To do this, prior researches about VM allocation scheme have been focused on the optimization approach with the users' request prediction techniques. However, it is difficult to predict the expected demands exactly because there are various cloud service users and the their request patterns are heavily fluctuated in reality. Moreover, the previous optimization processing techniques might require unacceptable huge time so it is hard to apply them to the current cloud computing system. In this paper, we propose the cloud brokering system with the adaptive VM allocation schemes called A3R(Adaptive 3 Resource allocation schemes) that do not need any optimization processes and kinds of prediction techniques. By using A3R, the VM instances are allocated to users in response to their service demands adaptively. We demonstrate that our proposed schemes are able to reduce the resource use cost significantly while maintaining the acceptable Quality of Service(QoS) of cloud service users through the evaluation results.