• Title/Summary/Keyword: Industry classification

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A Study on Body Types Characteristics of Mongolian Men (몽골 남성의 체형특성에 관한 연구 - 18~24세를 중심으로 -)

  • Im, Soon;Kim, Sang-Hee
    • Journal of the Korea Fashion and Costume Design Association
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    • v.12 no.1
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    • pp.141-151
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    • 2010
  • The purpose of the study was to offer basic documents to the textile fashion industry by investigating changes of figures by various factors as each other social and environment. This study analyzes characterization and classification of body types of Mongolian men. 100 adult subjects within the 18 to 24 age group were studied. The physical measurements of the research subjects come up to a total of 63 items. Data was statistically analyzed with SPSS program using basic statistics, t-test, one-way ANOVA, Duncan-test, factor analysis and cluster analysis. The conclusions are as follows. In the result of factors analysis in physical measurements of Mongolian men, 10 factors such as the vertical size of body, on the obesity of body, the leg size, the bust from back length, the bust from front length, the shoulder size were extracted. The accumulated contributory rate of these was 73.86%. The cluster analysis for the comparison of the body types, by categorizing the body types produced three types. The comparison of 45 items in physical measurements between Korean men and Mongolian men resulted in the differences in 20 items. While the height items including stature between them showed negligible differences.

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Effect of separate and mixed refining of hardwood and softwood pulps on paper properties

  • Chauhan, Vipul S.;Kumar, Nitin;Kumar, Manoj;Chakrabarti, Swapan K.;Thapar, S.K.
    • Journal of Korea Technical Association of The Pulp and Paper Industry
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    • v.43 no.4
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    • pp.1-10
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    • 2011
  • Beating or refining is an energy intensive process in paper industry. In India, most of the paper industries blend long fibered softwood pulps with short fibered hardwood or agro based pulps to get the paper properties of competitive level. Refining characteristics of the blend of pulps is very crucial with respect to freeness and strength properties. This study has been carried out to understand the refining behavior of three hardwood pulps and a softwood pulp. The hardwood and softwood pulps are blended in different proportions in two different ways; a) blending after their separate refining, and b) blending before refining followed by mixed refining of the blended pulps. Freeness of pulp, strength, optical and surface properties of paper along with formation have been determined and compared for both the refining methods. The fiber classification of refined pulps was also carried out to analyze the effect of refining method on fiber morphology. The mixed refining of hardwood and softwood pulps marginally affects the fiber morphology in comparison to separate refining of pulps. The strength and other properties of paper prepared from mixed refining of pulps are either better or comparable than those of separately refined pulps.

A Study on the Business Models of B2B eMarketplace (B2B 전자시장에서의 비지니스 모델)

  • 조원길
    • The Journal of Information Technology
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    • v.4 no.3
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    • pp.125-138
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    • 2001
  • A classification was provided of various business models that are currently found in internet electronic commerce(business-to-business as well as business - to consumer). Some of these models are essentially an electronic re-implementation of traditional forms of doing business, such as e-shops. Many others go far beyond traditional business such as value chain integration and seek innovative ways to add value through information management and a rich functionality. Creating these new business models if feasible on]y because of the openness and connectivity of the internet. This study explored independent and industry-backed current and future business models that are emerging in the B2B electronic market industry, as well as value -added service models for the Net market maker industry, The protected rapid growth of B2B electronic market will cause a highly competitive environment. The B2B electronic market that deliver on real lasting value will dominate and ultimately earn for themselves a long-term Place in the landscape of the new economy.

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Development of an Evaluation Model for R & D Technology Portfolio Based on Business Model Components (비즈니스 구성요소 분석을 통한 기업의 R&D 기술포트폴리오 가치평가모델)

  • Kim, Young-Tae;Im, Kwang-Hyuk;Lee, Sang-Chul;Park, Sang-Chan
    • Journal of Korean Society for Quality Management
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    • v.40 no.3
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    • pp.372-380
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    • 2012
  • Purpose: The purpose of this research is to develop the methods for evaluating the business value of a company's technical portfolios. In this study, technical portfolios of 10 major manufacturers and e-Biz industries are examined first from a business model perspective. Subsequently, we suggest future direction of R&D for the pharmaceutical industry by deducing the leading industries sharing similar traits with the pharmaceutical industry. Methods: In order to evaluate and analyze the patents of the major leading industries based on the constituents of a business model, the target patents were selected through the following procedure. Results: First, In this study, using the data obtained from the patent analysis, the differences in the technology portfolios of specific business entities based on the constituents of their business models. Second, deduced business rules of particular business entities through classification analysis and role-model of pharmaceutical industry Conclusion: If enterprise discovers technological change and characters of other enterprise or technology, enterprise could judge a direction of technology which will be developed in the near term and a plan which utilized existing technology to increase enterprise's profits.

Prediction of Product Life Cycle Using Data Mining Algorithms : A Case Study of Clothing Industry (데이터마이닝 알고리즘을 이용한 제품수명주기 예측 : 의류산업 적용사례)

  • Lee, Seulki;Kang, Ji Hoon;Lee, Hankyu;Joo, Tae Woo;Oh, Shawn;Park, Sungwook;Kim, Seoung Bum
    • Journal of Korean Institute of Industrial Engineers
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    • v.40 no.3
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    • pp.291-298
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    • 2014
  • Demand forecasting plays a key role in overall business activities such as production planning, distribution management, and inventory management. Especially, for a fast-changing environment of the clothing industry, logical forecasting techniques are required. In this study, we propose a procedure to predict product life cycle using data mining algorithms. The proposed procedure involves three steps : extracting key variables from profiles, clustering, and classification. The effectiveness and applicability of the proposed procedure were demonstrated through a real data from a leading clothing company in Korea.

A Study of the Classification of Research and Trend in the Korea Trade Show (국내 무역전시 연구 분류 및 동향에 관한 연구)

  • Sung, Nak-Suk;Hong, Seon-Eui
    • THE INTERNATIONAL COMMERCE & LAW REVIEW
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    • v.53
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    • pp.289-313
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    • 2012
  • This study aimed to analyze research trend of the trade show industry in Korea and further to suggest the future direction on the research area where industrial strategies and governmental supports can be made. From 2001 to 2011 by order of 11-year study by analyzing research trends and future direction of policy more effective marketing strategy is precisely to provide direction for research. For the purpose of this study, 169 articles from 49 national level journals of Korea was classified and analyzed. 30 researches in 2005 was published research papers related to the exhibition industry was grew rapidly. According to the analysis, participants behavior of trade show were the most important topic with 33 articles. Various statistical methods such as ANOVA, structural equation model, path analysis, t-test and regression were used. However the study methods of these researches didn't make much progress. The result of this study indicated that we need to study more about the trade show industry of Korea, especially about local economic development and regional demand of trade show.

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Survey and Economic Analysis of Food Industry Residues for Biomass-to-energy Conversion in Merced and Stanislaus Counties, California, USA (바이오에너지로의 전환을 위한 캘리포니아 식품가공공장 오.폐수 특성 조사 및 경제성 분석)

  • Kim, Dae-Hyun
    • Journal of Biosystems Engineering
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    • v.34 no.4
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    • pp.243-253
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    • 2009
  • This research expands investigations into the biomass resource potential associated with California's food processing industry by surveying industries within a two county region in the San Joaquin Valley, California, USA. A previous survey conducted in 2005 for the Sacramento Municipal Utility District (SMUD) quantified residue and waste generation from food processors and food preparation businesses in the Sacramento region. The present survey investigates residue and waste streams from food processors located in Merced and Stanislaus Counties. Sixty food processors were identified to participate in the survey, of which 49 responded (82%) and data were acquired for 38 (63%) (6 facilities closed or moved, 8 decided not to participate). Within the two counties, total annual waste among survey respondents amounted to 24,044 dry tons of high moisture (${\geq}$60%) food residuals, 5,358 dry tons of low moisture (<60%) food residuals; and 23.7 million $m^3$ of wastewater containing 38,814 tons of biochemical oxygen demand ($BOD_5$). The total potential electric power generation from these food residues was estimated at approximately $7\;MW_e$. Total solid waste resource included in the survey response was estimated at about 10% of statewide residue generation for processors falling within the Standard Industrial Classification (SIC) System Major Group 20 (Food and Kindred Products) categories.

An analysis on problem of the safety educational system for supervisor in Medium and Small-sized Manufacturing industry (중소규모 제조업의 관리감독자 교육제도 문제점 분석)

  • Gwon, O-Jin;Kim, Byeong-Seok
    • Proceedings of the Safety Management and Science Conference
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    • 2013.11a
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    • pp.221-230
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    • 2013
  • This paper is written following an analysis of occurrence trend of industrial disaster in manufacturing industry. One of major reason of industrial accident is unsafe action caused by lack of work supervision. so we have surveyed the understanding level of supervisors for industrial safety and their education of industrial safety which is forced by industrial law. We have got the result that the supervisor's education is necessary to prevent industrial disaster but it's not fit for their own workplace for various reasons from the survey and analysis. I would like to suggest effective solutions. The institute of education should train that they can execute safety and health works themselves by classification of the industrial category, company scale and located region. Also, government should endow supervisors with authority and responsibility for the activation of education system. Finally, government should support the expense of education to medium and small-sized enterprises especially, and they should be interested in the attendance and execution of education. They will achieve the goal to prevent industrial disasters in manufacturing industry through the enforcement of effective supervisor system as per the remark mentioned above.

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Stock Prediction Method using Case-based Learning (사례기반학습을 이용한 주식 데이터 예측 방법)

  • Kim, Ju-Hyun;Jeon, Min-Soo;Jung, Yong-Gyu
    • Journal of Service Research and Studies
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    • v.1 no.1
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    • pp.71-79
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    • 2011
  • In recent years, a number of people are going more and more to develope and engage in stock and equity-related information and related industry. a lot of stock expection programs came out, but they are still unstable, especially predictions methods and reality is unfounded. In this paper, we have vast amounts of stock data, shares many of the changes affecting the width of the survey items, and should seek the weights. This is related to existing stock levels and categories and is another way. Results based on a systematic classification of the stock data that would like to introduce objectivity

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Factor Analysis on Injured People Using Data Mining Technique (데이터 마이닝 기법을 활용한 산업재해자들에 대한 요인분석)

  • Leem Young-Moon;Hwang Young-Seob;Choi Yo-Han
    • Journal of the Korea Safety Management & Science
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    • v.7 no.4
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    • pp.61-71
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    • 2005
  • Many researches have been focused on the analysis of industry disasters in order to reduce them. As a similar endeavor, this paper provides a propensity analysis of injured people from various industries using classification and regression tree(CART), a data mining algorithm. The sample for this work was chosen from 25,157data related to various industries during one year ( $2003.2\sim2004.1$ ) at Kangwon-Do in Korea. For the purpose of this paper, eight independent variables (injured date, injured time, injured month, type of Injured person, continuous service period, sex, company size, age)are taken from injured person group. According to the analysis result, it is found that five out of the eight factors that are predicted as significant have salient effects. Factors of season, time/hour, day of the week, or month which disasters happened do not show any significant effect. This paper provides common features of injured people. The provided analysis result will be helpful as a starting point for root cause analysis and reduction of industry disasters and also for development of a guideline of safety management.