• Journal of the Korean Geographical Society
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• v.28 no.3
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• pp.200-212
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• 1993

Wholesaling is important industry that is remarkable by the function and characteristics of city. This paper aims at examing the recent changes in hierarchy of cities and city classifi-cation by wholesale activities in Korea. In order to grasp the stydy purpose, this paper is to analuze the changes of categories by wholesale industry, and to grasp the change in the city classification with city hierachy of wholesale sales in 1968, 1979, and 1991. The data were obtained from the statistics in the Census of Wholesale and Retail Trade published by the National Statistical Office, in 1969, 1981, and 1992. As the result of examination, the following finding were obtained: 1. Wholesaling has developed form that of production and consumption goods wholesale, especially 'Wholesaling of Farm Products, Foods and Beverages' to that of investment goods that is 'Wholesaling of Machinery and Equipment' and 'Wholesaling of Transport Equipment and Parts'. 2. Wholesaling has developed in the medium and small cities in 1970's, and in the larger cities in 1980's. And the concentration ratio of six larger cities were lower than another cities in terms of wholesale sales, especially Seoul and Pusan. 3. Recently with income increment and a purchasing power, city classification was changed by the increasing number of wholesale establi-shments of 'Automotive Parts and Tyres' in 1970's and of 'Office, Computing and Accounting Machines and Motor Vehicles' in 1980's.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.9 no.2
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• pp.71-80
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• 2014

Standard Industrial classification is a key factor of technology spillover effect. It is the result of the empirical study that is the IC(industrial classification) which influences the technology spillover effect by way of interaction term, or moderating effect combing independent variables and moderators. As relatively high technology industry is more important than the low counterpart in R&D management system. And the result of the study says that Government should support SME's considering the IC moderating effect and different subsidies which is appropriated to the SME's IC(industrial classification). This way of Government subsidy will improve the efficiency of industrial policy effect of SME's.

• Journal of the Korean Wood Science and Technology
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• v.49 no.5
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• pp.430-452
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• 2021

The recent social atmosphere has been a preference for wood utilization and woodworks. The general public does not have many opportunities to enjoy wood culture, so there is a lack of awareness and foundation of wood culture. In this study, classification and case analysis of wood culture were conducted as basic research for establishing a promotion strategy for the general public to enjoy wood culture. The specificity of wood culture and cultural resources was analyzed to establish the concept of wood cultural resources. Through the analysis, wood cultural resources were defined as products created as a result of human activities that implied the cultural value of wood and wood use in terms of conservation, discovery, and utilization. The types of wood cultural resources were classified into seven categories using the classification examples performed on cultural resources: cultural heritage, cultural facilities, cultural festival, wood architecture, culture contents, culture education, and wood products. In addition, cases were searched and proposed for each type of wood cultural resources.

• The KIPS Transactions:PartD
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• v.14D no.5
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• pp.491-500
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• 2007

In order to classify and manage on-line trading goods, the product classification scheme must be maintained. In most systems for handling product information, the classification scheme is managed manually by experts, which in general incurs a lot of time and cost. Effective management of classification system becomes more important as rapid development of industry expedites diversity and convergence of goods and services. There have been many researches on developing classification scheme, and continuing in this line of research, this paper proposes a new method for automatic generation of product classification scheme. Our main idea starts from the concept that a product is a set of attributes, and we propose a novel algorithm for automatically creating hierarchical classification scheme by utilizing inclusive relationships between products. We then prove the effectiveness of proposed algorithm by conducting an experiment.

• KIPS Transactions on Software and Data Engineering
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• v.6 no.1
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• pp.37-44
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• 2017

While IoT (Internet of Things) industry has been spreading, it becomes very important for object to recognize user's information by itself without any control. Above all, gender (male, female) is dominant factor to analyze user's information on account of social and biological difference between male and female. However since each gender consists of diverse face feature, face-based gender classification research is still in challengeable research field. Also to apply gender classification system to IoT, size of device should be reduced and device should be operated with low power. Consequently, To port the function that can classify gender in real-world, this paper contributes two things. The first one is new gender classification algorithm based on deep learning and the second one is to implement real-time gender classification system in embedded board operated by low power. In our experiment, we measured frame per second for gender classification processing and power consumption in PC circumstance and mobile GPU circumstance. Therefore we verified that gender classification system based on deep learning works well with low power in mobile GPU circumstance comparing to in PC circumstance.

• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.40 no.2
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• pp.59-66
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• 2022

The purpose of this study was to suggest the landscaping repair work classification, the standard for securing the independence of and establishing the scope of landscaping repair works. Standard construction specifications currently specify the landscaping repair work classification around the planting construction, while standard work estimate does not include the field of landscaping. The landscaping construction specifications and the standard work estimate in the construction industry should be, however, applied, so it is difficult to specifically understand what is the landscaping repair work classification in the cultural heritage industry. From 1961 to 1980, not only the tree planting but also a variety of landscaping facilities had been specified as the landscaping repair works, and it was found that all of these work classifications are established as the landscaping repair work classifications in the construction industry. A total of 20 work classifications were verified by comprehensively arranging those specified in notices of tender for working drawing services for cultural heritages during three years, from 2018 to 2020, except for those for the maintenance and Dancheong of architectures, plant protection and conservation. All 20 work classifications corresponded to the landscaping work classifications in the construction industry. On the basis of the landscaping work classifications in the construction industry, this study divided the landscaping repair work classifications into site-building and shaping, planting work, facility construction, paving work, ecological landscape architectural construction and vegetation maintenance, by considering the specialty of cultural heritage space.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.4
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• pp.277-301
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• 2020

This study surveyed 503 adults to examine the effect of gaming disorder classification, recently announced by World Health Organization(WHO), when it is applied to Korean game market. Considering the difference in respondents' background knowledge on gaming disorder, half of the respondents were randomly assigned to read an informative news article describing WHO's decision and its expected effect on domestic game industry. Based on previous literature of gaming disorder, we categorized respondents into a normal-use group and a potentially problematic-use group. As a result of analyses, it was found that the gaming disorder classification would yield overall reduction of game-related consumption in terms of gaming time(24%), game cost(28%), the number of games(22%), etc. The potentially problematic group showed higher willingness to pay for gaming than the normal group did, even if the game cost presumably increases due to the gaming disorder classification. A similar outcome was observed in those with high stress levels. This implies that the policy to solve game addiction problems may ironically lead to unexpected cost increases to the target group of the policy. Hence, problematic groups, especially, highly stressful people and the people with the lack of self-control, need to be considered when the gaming disorder classification policy is established. Furthermore, the informative news article had the preventive effect on the attitude and the intention of the people with moderate or high self-control capacity, but not to the people with gaming-additive tendencies, Again, this finding confirms the necessity of the tweezers policy to refine target groups by their characteristics and prepare for differentiated policies. When the gaming disorder classification is simply adopted with no consideration of domestic circumstances, irreversible loss could affect Korean game users, game industries, and related companies. This calls for urgent cooperation between academia, government, and industry to set up appropriate measures to deal with the gaming disorder classification.

• The Journal of the Korea Contents Association
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• v.5 no.4
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• pp.169-179
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• 2005

Standard industry and occupation code are usually assigned manually in Korean census. The manual coding is very labor intensive and expensive task. Furthermore, inconsistent coding is resulted from the ability of human experts and their working environments. This paper proposes an automatic code classification system which converts natural language responses on survey questionnaires into corresponding numeric codes by using manually constructed rule base and example-based machine learning. The system was trained with 400,000 records of which standard codes was assigned. It was evaluated with 10-fold cross validation and was tested with three code sets: population occupation set, industry set, and industry survey set. The proposed system showed 76.63%, 82.24 and 99.68% accuracy for each code set.

• Journal of Powder Materials
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• v.15 no.4
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• pp.320-330
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• 2008

On the base of experience in development of Magnetic Powder Composites, and particularly Soft Magnetic Composites, authors are trying to systematize classification and indicate possible development prospective of Magnetic Nanocomposites (MN) technology and their applications in electrical converters. Clear classification and systematization, at an early stage of any materials and technology development, are essential and lead for better understanding and communication between researchers and industry involved. This concern MN as well and it seems to be the right time to make it at present stage of their development. Presented proposal of classification distinguishes various types of MN by their magnetic properties and area of possible applications. It is not a close set of types, and can be extended due to increase of knowledge concern these nanocomposites.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2000.04a
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• pp.175-184
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• 2000

Recently Venture business in the area of information and communication industry is booming. Though Technology classification chart helps the potential entrepreneur through Survey paper and Internet Web Page, its service does not meet the customer demand. Hence Technology Classification system, which is proposed in this paper, will solve this problem by using virtual network among venture, technology experts and potential entrepreneurs. This system supports potential entrepreneurs' decision making for choice of venture business items by using dual client technology, and provides better services than existing systems by linking expert client and customer client, .