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A study on the change of the Building appearances according to the change of conservation policies and urban fabric in Bukchon of Seoul, since 1980's (서울 북촌(北村)의 역사경관보전정책 변천에 따른 건축물 변화)

  • Song, In-Ho;Kim, Young-Soo
    • Journal of architectural history
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    • v.15 no.3
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    • pp.99-118
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    • 2006
  • We have focused on the building appearance according to the change of conservation policy and urban fabric in Bukchon, Seoul. The Urban Hanok, urban traditional housing type, had been evolved in modern contort from 1920's to 1960's, that is to say, many buildings(Urban Hanok) in Bukchon area has built up with a lot and road at the same time. But the change of conservation policy has an effect on the urban fabric and building(wooden structure, RC and brick building). Thus many types of building in Bukchon has undergone a various change. The purpose of this paper is to define a change factor of Bukchon buildings. Thus we need to pay attention to policy and urban fabric. We reached the result as follows. First, the change of architecture regulations according to the several policies(an aesthetic area, an altitude area for sky line restriction and so on) brought into building deformation and eventually the historic scenery of Bukchon has been spoiled. Second, the change of policy had an effect on the change of roads and lots. Buildings on a widen road and a united lot was built newly. But new buildings built up with a concrete or brick structure was not in harmony with the historic scenery of Bukchon area. Third, a development method of a large lot with lack prudence(disregarded a scale and size of lot) did damage to Urban hanok and urban fabric. With the understanding on the relationship of buildings, a urban fabric and a policy in Bukchon, we can define the identity and correspond with the urgent request for a the conservation of historic urban scenery In addition we can suggest the policy and the design guidelines for the reservation and rehabilitation for Bukchon, Seoul.

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Efficient Implementation of Convolutional Neural Network Using CUDA (CUDA를 이용한 Convolutional Neural Network의 효율적인 구현)

  • Ki, Cheol-Min;Cho, Tai-Hoon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.21 no.6
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    • pp.1143-1148
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    • 2017
  • Currently, Artificial Intelligence and Deep Learning are rising as hot social issues, and these technologies are applied to various fields. A good method among the various algorithms in Artificial Intelligence is Convolutional Neural Networks. Convolutional Neural Network is a form that adds Convolution Layers to Multi Layer Neural Network. If you use Convolutional Neural Networks for small amount of data, or if the structure of layers is not complicated, you don't have to pay attention to speed. But the learning should take long time when the size of the learning data is large and the structure of layers is complicated. In these cases, GPU-based parallel processing is frequently needed. In this paper, we developed Convolutional Neural Networks using CUDA, and show that its learning is faster and more efficient than learning using some other frameworks or programs.

Cognitive Modeling of Unusual Association with Declarative Knowledge by Positive Affect (긍정적 감정에 따른 선언적 지식에 관한 비전형적 연상 과정에 대한 인지모델링)

  • Park, Sung-Jin;Myung, Ro-Hae
    • Journal of Korean Institute of Industrial Engineers
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    • v.41 no.1
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    • pp.43-49
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    • 2015
  • The aim of this study was to model unusual association with declarative knowledge by positive affect using ACT-R cognitive architecture. Existing research related with cognitive modeling tends to pay a lot of attention to strong and negative cognitive moderator. Mild positive affect, however, has far-reaching effects on problem solving and decision making. Typically, subjects with positive affect were more likely to respond to unusual associates in a word association task than subjects with neutral affect. In this study, a cognitive model using ACT-R cognitive architecture was developed to show the effect of positive affect on the cognitive organization related with memory. First, we organized the memory structure of stimulus word 'palm' based on published results in a word association task. Then, we decreased an ACT-R parameter that reflects the amount of weighting given to the dissimilarity between the stimulus word and the associate word to represent reorganized memory structure of the model by positive affect. As a result, no significant associate probability difference between model prediction and existing empirical data was found. The ACT-R cognitive architecture could be used to model the effect of positive affect on the unusual association by decreasing (manipulating) the weight of the dissimilarity. This study is useful in conducting model-based evaluation of the effects of positive affect in complex tasks involving memory, such as creative problem solving.

An Analysis of the Price Structure of Two Sided Market in Online Game Item Trade (아이템 현금 거래 양면시장에서의 거래 가격 차이 분석)

  • Choi, Seong-Rak
    • Journal of Korea Game Society
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    • v.12 no.6
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    • pp.59-70
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    • 2012
  • There are many methods to buy and sell online items. But A lot of people use item trade sites when they want to sell or buy their items. This article analyzes the price structure of item trade, and finds why gamers use item trade sites in spite of the brokerage. We analyze the difference of item prices between in the market of item trade sites and in the market of other trade methods. And we find that the prices of item trade sites is higher than those of other markets. Buyers pay about 6% higher prices to seller. The higher prices are for the safe trading what item trade sites supply. And sellers take about 0.7% higher prices than in other markets. There is a sufficient motive when gamers use item trade sites in spite of their high prices.

The Effects of Institutional and Market Factors on Nurse Staffing in Acute Care Hospitals (의료기관과 시장특성이 간호사 확보수준에 미치는 영향)

  • Kim, Yun-Mi;Cho, Sung-Hyun;Jun, Kyung-Ja;Go, Su-Kyung
    • Health Policy and Management
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    • v.17 no.2
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    • pp.68-90
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    • 2007
  • Nurse staffing level is an important factor that influences the quality of health service and patient outcomes. This study was carried out to examine the current state of acute hospital nurse staffing and find out factors that affect the nurse staffing level. Nurse staffing of individual hospitals was measured using the number of registered nurses per 100 beds. Descriptive and multiple regression analyses were conducted using 592 acute care hospitals' data. Regression model included structure factors such as referral level, ownership, medical and general staffing, and financial outcome factors such as occupancy rate, inpatient and outpatient revenues. Market characteristics included strength of competition, supply of nurses, and income and health status level of consumers. The average number of nurses per 100 beds was 28 and showed a great variation according to the referral level. Regression model explained this variation as much as 76.87%. Hospital structure variables which affecting the hospital nurse staffing level positively were ICU bed ratio, the staffing level of specialist, training doctor and employees except doctor and nursing personnel, while the negative factor was nurse aid staffing level. General hospitals employed more nurses than hospitals. Among outcome characteristics, occupancy rate and the amount of health insurance inpatient revenue affected positively on the hospital nurse staffing level. The more supply of the new nurse and the higher consumer income and health status in the medical service markets, the more nurses were employed by the medical institutes. According to the study result, hospitals employed more nurses when they had more financial incentive by increasing nurses. This means appropriate hospital incentive policy and regulation policy, which hospital violate nurse staffing level have to pay penality, should be needed. Clarifying job description between nurses and nurse aids and the reentry program for unemployed experienced nurses will be helpful to increase nurse staffing level.

A Legal Study on the Standard for Conformity of the Goods in the International Sale of Goods (국제물품매매계약상(國際物品賣買契約上) 물품일치성(物品一致性)의 기준(基準)에 관한 법리적(法理的) 고찰(考察))

  • Song, Myeong-Bok
    • THE INTERNATIONAL COMMERCE & LAW REVIEW
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    • v.12
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    • pp.133-162
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    • 1999
  • The international sale transaction is in essence a sale of goods and presents all those commercial and legal problems in any sale of goods. As a result, A International sales contract imposes several duties on the parties : the seller must deliver the goods and transfer ownership in them, while the buyer must pay the price and take delivery of the goods. However, there are several problems which impede a active transaction between seller and buyer who have their places of business in other countries each other. Therefore, It is necessary to provide the concept on the conformity of goods in the Int'l Sale of Goods. Especially, In our consideration for the point of time when defects occurs, the existence of non-conformity of goods should be judged on the basis of time of delivery rather than time of contract. Moreover, The burden of proof about nonconformity of goods is another fact which make an international dispute between the contractual parties in an international trade. Thus, The consistency in the interpretation of law must be maintained betweened the warranty and seller's liability. In the Uniform Commercial Code and UN Convention, non-conformity of contract is made of contract liability. And in our civil and commercial law provisions of warranty should be understand as the special ones of the provisions of general non-performance of obligation liability. As a result, More concrete study of them is required because they may have a great influence especially on international trade. As a result, We should be our best in finding a helpful and systematic structure that the dualistic structure of nonperformance of obligation liability and warranty liability must be unified by studying the theories of English and American warranty and our legal system, as well as international practice and usage being used in an international trade.

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The Effect of the Selection Attributes of Coffee Shops on Customer Value and Revisit Intention - Focusing on College students in Busan - (커피전문점 선택속성이 고객가치와 재방문 의도에 미치는 영향에 관한 연구 - 부산 지역 대학생들을 중심으로-)

  • Lee, Jong-Ho
    • Culinary science and hospitality research
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    • v.20 no.3
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    • pp.171-185
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    • 2014
  • This research investigates the causal relationships between the selection attributes of coffee shops and customer value and revisit intention. To do this, the statistics programs SPSS 18.0 and AMOS 18.0 were used targeting 218 college students from three universities (K, D, Y) in the Busan area. Frequency analysis, explanatory factor analysis, confirmatory factor analysis, correlation analysis, and structure model analysis for hypothesis verification were conducted to analyze the data. Based on the results of exploratory factor analysis, five factors were drawn as quality of coffee, indoor environment, service, discount, and brand. Model fidelity and validity was confirmed by implementing the confirmatory factor analysis. In addition, results of structure model analysis confirmed partial relationships among the selection attributes of the college students regarding coffee shops, customer value, and revisit intention. Furthermore, a positive relationship between customer value and revisit intention was also confirmed. Thus, this research suggests that coffee shop managers should manage in a way that customers may acknowledge the value of the expenses they pay.

Development and Speed Comparison of Convolutional Neural Network Using CUDA (CUDA를 이용한 Convolutional Neural Network의 구현 및 속도 비교)

  • Ki, Cheol-min;Cho, Tai-Hoon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2017.05a
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    • pp.335-338
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    • 2017
  • Currently Artificial Inteligence and Deep Learning are social issues, and These technologies are applied to various fields. A good method among the various algorithms in Artificial Inteligence is Convolutional Neural Network. Convolutional Neural Network is a form that adds convolution layers that extracts features by convolution operation on a general neural network method. If you use Convolutional Neural Network as small amount of data, or if the structure of layers is not complicated, you don't have to pay attention to speed. But the learning time is long as the size of the learning data is large and the structure of layers is complicated. So, GPU-based parallel processing is a lot. In this paper, we developed Convolutional Neural Network using CUDA and Learning speed is faster and more efficient than the method using the CPU.

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Characteristics of Factory Architecture in Semi-industrial Area of Seong-su - A Case Study Factory Building Permits in 2010s - (성수동 준공업지역 공장건축물의 건축행위 특성에 관한 연구 - 2010년대 건축행위 허가 및 신고 사례를 중심으로 -)

  • Yang, Yoo-sang;Park, So-Hyun
    • Journal of the Architectural Institute of Korea Planning & Design
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    • v.34 no.12
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    • pp.145-156
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    • 2018
  • This study explores changes of industrial scales and building activities in the semi-industrial area of Seoul's Seong-su, responding to the shifts of industrial structures and policies in the Korean society. The purpose of this study is to investigate patterns of construction activities of factory buildings in the Seong-su semi-industrial area by analyzing changes in industrial facilities. As a result of the analysis, the change of the factory building area come out from the recent survey implies the possibility of entrepreneurial inflow as much and the new constructions and some remodeling cases which are characterized by complexity seem to correspond to the industrial structure. However, it is unreasonable to believe that this phenomenon is a mainstream movement involving small-scale factory buildings and companies. This is because there are aspects that are not included in this movement, such as changing the use of buildings without accompanying physical changes. On the other hand, compared to various movements of individual companies in response to the industrial structure, the physical plan suggests a limited alternative centering on the floor area ratio and the building area ratio. This means that the efforts to attract and grow the power of knowledge based-industry through the designation of the Industrial Development Promotion District in part of the case sites, overlook the natural change through remodeling and reuse of existing buildings. In addition, considering the fact that the production space of industrial use can be greatly influenced by the behavior of users compared to general buildings such as residential and commercial, it is necessary to pay attention to various phenomena occurring in the area more locally than the uniform supply policy. Based on these findings, this study contributes to illuminate the legal system related to building act in the Seong-su semi-industrial area and the potential direction of architectural suggestions in related policies and researches.

A Study on the Improvement of Working Conditions and Win-Win Support for Franchisees (프랜차이즈 가맹점의 노동조건 개선 및 상생지원 방안)

  • PARK, So-Min
    • The Korean Journal of Franchise Management
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    • v.13 no.4
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    • pp.23-37
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    • 2022
  • Purpose: The Korean franchise market has undergone drastic growth in recent years. Followed by expansion of franchise business types, relevant legal matters have diversified. Compared to conventional economic laws that focused on resolving problems related to unfair transactions between franchisors and franchisees, more diverse labor laws have emerged recently due to governance and economic dependencies of franchise structure. However, it was found that the business environment of franchisees and working conditions of franchisee employees have not changed accordingly due to the unique structure of franchise business. Though franchisees are entrepreneurs independent from franchisors, they are still under franchising contract with the franchisors. For instance, employees of franchisees have been exposed to malpractices in regard to pay, time, and other working conditions. These malpractices may show the ineffectiveness of current labor laws. Labor management is an important issue for sustainability of franchise businesses. Negative publicity of franchises generated from violating relevant labor laws may have significant negative impact on overall image of franchised brands. However, franchisors should not hold franchisees fully responsible for legal violations in terms of labor management but strive to prevent relevant risks. Thus, the recent amendment in labor law related to increased minimum wage and reduced worktime have called for more attention to effectively implementing the law. Research design, data, and methodology: This study was conducted through a review of franchise-related laws and various institutions and policies. Results: It is further needed for all parties, including franchisors, franchisees, and franchisee employees, to take collaborative actions to improve working conditions of franchisees. Therefore, this study aims to propose appropriate and effective response plans toward recent changes in the Minimum Wage Act, while strengthening sustainability of franchisors, franchisees, and their employees. Conclusions: The proposal mainly contains plans regarding profit-related aids and profit sharing/cost reduction strategies for franchisees, as well as collective bargaining in the franchisor-franchisee relation. More detailed suggestions are included. Conclusions: This proposal may help franchisors and policymakers develop business plans and policies in improving business conditions of franchisees and working conditions of franchisee employees.