• Title/Summary/Keyword: Profit Patterns

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A study of Simulations on the Changes of Physician's Practice Patterns in University Hospitals after the Introduction of DRG in Obstetrics and Gynecology (산부인과 포괄수가제 도입에 따른 일개 대학병원의 진료행태 변화 모의실험 연구)

  • Shin, Sam-Chul;Kim, Jong-Soo
    • Journal of Digital Convergence
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    • v.11 no.6
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    • pp.289-298
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    • 2013
  • The objective of this study was to predict the changes in the duration of hospital stay, hospital admission fee, costs of drugs, changes in laboratory cost, material cost, total medical cost, adjusted amount of treatment and the efficacy of obstetrics and gynecology DRG system. The cost of drugs showed the greatest change and was followed by materials for medical examinations and the change in methods of medical examinations. In the analysis of the quantity of medical service the profit of medical examinations were influenced mostly by the duration of hospital stay. The results and data in this study could be used as a basis of future DRG system protocols and will be utilized so that hospitals can build a efficient medical system.

Design methodology for the realization of zero-waste fashion design - Focused on the typology of ZWPM - (제로 웨이스트 패션 디자인 실현을 위한 디자인 방법론 - ZWPM 유형 특성을 중심으로 -)

  • Yoon, Jinyoung;Yim, Eunhyuk
    • The Research Journal of the Costume Culture
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    • v.23 no.6
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    • pp.929-939
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    • 2015
  • Zero-waste is sustainable development for ensuring continuous interactions with the environment as well as for the next generations, while expanding across industries. Zero-waste fashion design does not necessarily mean that we should stop making clothes in order to reduce waste, but we consider the social values of sustainability regarding the environment, humans, and profit. In particular, in the pre-use stage of zero-waste fashion design, fashion designers play critical roles. The purpose of this study is to develop a methodology for the realization of zero-waste fashion design through establishing the typology of zero-waste pattern making (ZWPM) as well as exploring the practical implications of zero-waste fashion design. For the realization of zero-waste fashion design that draws from pattern-making principals, this study categorizes zero-waste fashion design into zero-waste pattern cutting (ZWPC) and non-pattern cutting (NPC). ZWPC is based on drafting patterns on a piece of fabric, which can enable the sharing of patterns and processes, while NPC requires little- or non-cutting/sewing in optimizing a piece of fabric, bringing the possibility of creating indefinite forms. ZWPC is sub-categorized into tailored and non-tailored, and NCP into draped and folded. Then, by implementing the typology in undergraduate design programs, this study tests and completes the design methodology for the realization of zero-waste fashion design.

Optimal Electricity and Heat Production Strategies of Fuel Cell Device in a Micro-grid Energy System (마이크로 전력계통에서 연료전지 발전시스템의 전기/열의 최적운영 기법 연구)

  • Lee, Joo-Won;Park, Jong-Bae;Kim, Su-Duk;Kim, Chang-Seop
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.58 no.6
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    • pp.1093-1099
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    • 2009
  • Alternative energy sources such as renewable energy like solar power systems, wind power systems, or fuel cell power systems has been the rising issue in the electrical power system. This paper discusses an economic study analysis of fuel cells in the korean electricity market. It includes the basic concept of a fuel cell and the korean electricity market. It also describes the need of renewable energy and how the fuel cell is connected with the local grid. This paper shows the impact of production and recovering thermal energy of a grid-connected fuel cell power system. The profit maximization approach has been structured including electrical power trade with the local grid and heat trade within the micro-grid. The strategies are evaluated using a local load that uses electric and thermal power which has different patterns between summer and winter periods. The solution algorithm is not newly developed one, but is solved by an application called GAMS. Results indicate the need and usefulness of a fuel cell power system.

Classification of Silver Farming Types and Investigation of Proper Crop for Silver Farmers (실버농업의 유형분류 및 적합작목 탐색)

  • Kang, Kyeong-Ha;Yoon, Soon-Duck;Kang, Jin-Ku
    • Journal of Agricultural Extension & Community Development
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    • v.14 no.2
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    • pp.301-328
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    • 2007
  • The purposes of this study were to classify the silver farming types and to investigate proper crops for silver farmers. Data were collected from 408 farmers returned from the urban area. Descriptive statistics were employed using SPSS/PC windows program. After then, researchers discussed the silver farming patterns and their proper crops, and tried to analyze the silver farming model. Major results were as follows: The farming aims of retirees, urban residents as well as farmers returned from the urban area were various from hobby/ leisure to income generating activities. Fourteen types of silver farming were classified by farming aim and residential area of retirees. Retirees in the hobby/leisure-oriented silver farming type can select and enjoy the various plants, animals, and insects as well as crops due to their small scale. Silver farmers in the self-sufficiency type may select crops for their food. Income-oriented silver farmers may have difficulties in choosing the proper crop. They must consider their income needs, health status and field location. Profit-oriented silver farmers with venture mind can have some business opportunities in the agricultural sectors in spite of severe competition. As the aged silver farmers have poor health, they must keep work safety rules, use the proper work-aids, and utilize the labor-saving farming system.

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Design of Manufacturing Data Analysis System using Data Mining Techniques (데이터마이닝 기법을 이용한 생산데이터 분석시스템 설계)

  • Lee H.W.;Lee G.A.;Choi S.;Park H.K.;Bae S.M.
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2006.05a
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    • pp.611-612
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    • 2006
  • Many data mining techniques have been proved useful in revealing important patterns from large data sets. Especially, data mining techniques play an important role in a customer data analysis in a financial industry and an electronic commerce. Also, there are many data mining related research papers in a semiconductor industry and an automotive industry. In addition, data mining techniques are applied to the bioinformatics area. To satisfy customers' various requirements, each industry should develop new processes with more accurate production criteria. Also, they spend more money to guarantee their products' quality. In this manner, we apply data mining techniques to the production-related data such as a test data, a field claim data, and POP (point of production) data in the automotive parts industry. Data collection and transformation techniques should be applied to enhance the analysis results. Also, we classify various types of manufacturing processes and proposed an analysis scheme according to the type of manufacturing process. As a result, we could find inter- or intra-process relationships and critical features to monitor the current status of the each process. Finally, it helps an industry to raise their profit and reduce their failure cost.

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Analysis on Pattern of Electrical Tree Using Fractal (프랙탈을 이용한 전기트리의 패턴분석)

  • Kim, Duck-Keun;Lim, Jang-Seob;Oh, Soo-Hong;Min, Youg-Ki;Lee, Jin;Kim, Tae-Sung
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 1999.05a
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    • pp.712-715
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    • 1999
  • Treeing has a profit to observe processing electrical breakdown because it gives degradation steps of insulation material by optical method. But, reappearance properly of treeing is not so good and precise quantization of tree growth is not so easy because tree Patterns are very complicate. The study on tree growth using image processing is predicted to precision of tree degradation and possible to quality measurement of tree pattern. In this paper, degradation steps are analyzed by image processing, therefore precision and realiability of tree growth are increased. Also, processing of tree degradation is quantized by fractal.

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A Study on Increasing Farmers'Income through Direct Trade of Agricultural Products between Urban and Rural (농산물직거래 활성화를 통한 농민의 소득증대 방안)

  • 김남선;이창수
    • Journal of Korean Society of Rural Planning
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    • v.4 no.1
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    • pp.40-55
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    • 1998
  • The objectives of this study are to 1)research the importance of direct trade of agricultural products between farmers and consummers, 2)invest the trade process of agricultural products, 3)survey the patterns of direct trade of agricultural products, 4)find out the situations of direct trade of agricultural products, 5)suggest the directions to improve the direct trade of agricultural products. The data were collected from Taegu city, Taechun city and Kyungsang poop do for this study. The major findings of this study to improve the direct trade of agricultural products between urban and rural are as follows; First, it is very important that producers and consummers have common sense to the direct trade between urban and rural. Second, local government related the trade of agricultural products should positively take parts in the direct trade of agricltural products between producers and consummers in administration and finance. Thirth, non-profit organizations above other organizations in urban and rural must lead the direct trade of agricultural products between urban and rural. Fourth, the markets for direct trade of agricultural products are to be opened according to basing on consummers'needs to agricultural products. Fifth, the engaged farmings between producers and consummers are to be more positive by significant relationship( promised brothers and sisters) between rural and urban. Sixth, people who moved to urban from rural should be finked out in each community(in rural), they can buy the agricultural products in the community that they were born. Seventh, The communities in rural must produce the specific agricultural products in each community.

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An Asynchronous-Driven Node.js Based Intermediary-free Direct Deal Distribution Platform Converged with Cloud Service

  • Lee, SongYeon;Paik, JongHo
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.8
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    • pp.4212-4226
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    • 2019
  • In this paper, a design and implementation for direct deal distribution platform is proposed to bypass the complex traditional distribution structure of agricultural market, as one of the fields where distribution patterns have changed. In the case of domestic agricultural distribution, demand and supply are unstable since the sales market is excessively concentrated in the designated wholesale market. Besides sales must go through multiple stages of distribution leading to problems in freshness and stability of agricultural products and downward pressure on profit margins for producers. To solve the above mentioned issues, we propose a cloud service convergence direct deal distribution platform based on asynchronous-driven Node.js. The proposed platform can facilitate a variety of direct trading functions and also access to visualization information related to agricultural products, which may increase user confidence at an intermediary-free direct transactions platform. First, we describe the requirements of intermediary-free direct transactions of agricultural products and transaction entities. Next the database structure and transaction functions are designed and then implemented according to those requirements. Finally, an API based cloud convergence service structure is designed to provide the analyzed information to ensure a trustworthy system.

Analysis of Value System of Sportswear Brand Shopper according to Crossover Shopping Pattern: Webrooming and Showrooming

  • Kim, Young-Man;Byun, Kyung-Won
    • International Journal of Internet, Broadcasting and Communication
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    • v.14 no.4
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    • pp.181-188
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    • 2022
  • The purpose of this study is to identify selection attributes, functional benefits, psychological benefits, and values according to crossover shopping patterns (showrooming and webrooming). To achieve objectives of this study, a survey was designed based on the means-end chain theory, using the in-depth laddering technique and APT laddering technique which understanding the linkage of A(attributes)-FB(functional benefits)-PB(psychological benefit)-V(value). These two laddering techniques were used to construct a hierarchical value map (HVM) by linking selection attributes, functional benefits, psychological benefits, and value levels. The selection attribute items that showrooming shoppers consider important are 'price conformity', 'product information', 'product variety', and 'delivery service'. Functional benefit items were 'free purchase', 'economic benefit', 'communication', 'safety', and 'accurate Information', and psychological benefit items were 'convenience', 'relaxation', 'pleasure', 'rational consumption', and 'stability'. Finally, the value items were 'self-satisfaction', 'abundant life', 'achievement', 'happiness', and 'reasonable life'. Next, the selection attribute items that webrooming shoppers consider important are 'price conformity', 'product information', 'product variety', 'AS', 'shopping atmosphere', and 'seller service'. Functional benefit items were 'free purchase', 'economic profit', 'expression opinion', 'safety', and 'accurate information', and psychological benefit items were 'convenience', 'relaxation', 'rational consumption', and 'stability'. Finally, the value items were 'self-satisfaction', 'abundant life', 'happiness', and 'reasonable life'.

High Utility Itemset Mining by Using Binary PSO Algorithm with V-shaped Transfer Function and Nonlinear Acceleration Coefficient Strategy

  • Tao, Bodong;Shin, Ok Keun;Park, Hyu Chan
    • Journal of information and communication convergence engineering
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    • v.20 no.2
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    • pp.103-112
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    • 2022
  • The goal of pattern mining is to identify novel patterns in a database. High utility itemset mining (HUIM) is a research direction for pattern mining. This is different from frequent itemset mining (FIM), which additionally considers the quantity and profit of the commodity. Several algorithms have been used to mine high utility itemsets (HUIs). The original BPSO algorithm lacks local search capabilities in the subsequent stage, resulting in insufficient HUIs to be mined. Compared to the transfer function used in the original PSO algorithm, the V-shaped transfer function more sufficiently reflects the probability between the velocity and position change of the particles. Considering the influence of the acceleration factor on the particle motion mode and trajectory, a nonlinear acceleration strategy was used to enhance the search ability of the particles. Experiments show that the number of mined HUIs is 73% higher than that of the original BPSO algorithm, which indicates better performance of the proposed algorithm.