• Title/Summary/Keyword: the distribution Industry

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The Residual Characteristic of Chromafenozide and Pyridalyl in Kale (케일 중 살충제 Chromafenozide와 Pyridalyl의 잔류 특성)

  • Sun, Jung-Hun;Hwang, Kyu-Won;Jeong, Kyoung-Su;Lee, Tae-Hyun;Kim, Hyun-Jin;Park, Sang-Jeong;Moon, Joon-Kwan
    • Korean Journal of Environmental Agriculture
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    • v.41 no.2
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    • pp.125-134
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    • 2022
  • BACKGROUND: It is a very important task to block distribution of the agricultural products contaminated with pesticides in advance to protect consumers from residual pesticides among the agricultural products. Therefore, this study was performed to determine residual characteristics of pesticides in time-dependent manner and present scientific evidences for pre-harvest residue limit (PHRL) setting. METHODS AND RESULTS: The tested pesticides, chromafenozide and pyridalyl were sprayed onto the kale twice (seven day intervals) and then the plant samples were collected at 0 (after 3 hours), 1, 2, 3, 5, 7, and 10 days after the last spraying. Residual concentration of chromafenozide in kale decreased with 74.9% (of decreased fraction, field 1) and 85.3% (field 2) and pyridalyl decreased with 81.2% (field 1) and 85.8% (field 2), calculated by comparisons of the concentrations at 0 day and 10 days. Also biological half-lives of chromafenozide in kale were 5.6 day (field 1) and 3.4 day (field 2), and those of pyridalyl were 4.3 day (field 1) and 3.5 day (field 2). CONCLUSION(S): If the residues of chromafenozide and pyridalyl in kale from 10 days before harvest are less than 37.6 mg/kg and 58.9 mg/kg, respectively, it is expected that safe kale below MRL can be supplied on the pre-harvest day.

Machine learning in survival analysis (생존분석에서의 기계학습)

  • Baik, Jaiwook
    • Industry Promotion Research
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    • v.7 no.1
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    • pp.1-8
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    • 2022
  • We investigated various types of machine learning methods that can be applied to censored data. Exploratory data analysis reveals the distribution of each feature, relationships among features. Next, classification problem has been set up where the dependent variable is death_event while the rest of the features are independent variables. After applying various machine learning methods to the data, it has been found that just like many other reports from the artificial intelligence arena random forest performs better than logistic regression. But recently well performed artificial neural network and gradient boost do not perform as expected due to the lack of data. Finally Kaplan-Meier and Cox proportional hazard model have been employed to explore the relationship of the dependent variable (ti, δi) with the independent variables. Also random forest which is used in machine learning has been applied to the survival analysis with censored data.

A Study on the Factors Inf-luencing Intention to Use Internet VOD Movies (인터넷 VOD 이용의도에 영향을 미치는 요인에 관한 연구 - 인터넷 VOD극장을 중심으로 -)

  • Hwang, Joon-Seok;Lee, Zoon-Ky;Lee, Jae-Kyoung
    • Journal of the Korea Society of Computer and Information
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    • v.14 no.2
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    • pp.221-229
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    • 2009
  • The development of the Internet and telecommunication technology has lead to the diversification of the distribution channel of movies. Internet users can easily watch movies through the Internet VOD(Video On Demand) theaters without a restriction of time and space. In this study, we try to understand the intention to use of internet VOD movies using the concepts of Technology Acceptance Model and Flow Model. We also consider the concepts of sensitivity of holdback period and availability of various choice in movie genre, along with demographic factors such as age and gender. Through our study we enhance our understanding on how and when users use the Internet VOD for their movie watching.

Determination of homogeneity index of cementitious composites produced with eps beads by image processing techniques

  • Comak, Bekir;Aykanat, Batuhan;Bideci, Ozlem Salli;Bideci, Alper
    • Computers and Concrete
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    • v.29 no.2
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    • pp.107-115
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    • 2022
  • With the improvements in computer technologies, utilization of image processing techniques has increased in many areas (such as medicine, defence industry, other industries etc.) Many different image processing techniques are used for surface analysis, detection of manufacturing defects, and determination of physical and mechanical characteristics of composite materials. In this study, cementitious composites were obtained by addition of Grounded Granulated Blast-Furnace Slag (GGBFS), Styrene Butadiene polymer (SBR), and Grounded Granulated Blast-Furnace Slag and Styrene Butadiene polymer together (GGBFS+SBR). Expanded Polystyrene (EPS) beads were added to these cementitious composites in different ratios (20%, 40% and 60%). The mechanical and physical characteristics of the composites were determined, and homogeneity indexes of the composites were determined by image processing techniques to determine EPS distribution forms in them. Physical and mechanical characteristics of the produced samples were obtained by applying consistency, density, water absorption, compressive strength (7 and 28 days), flexural strength (7 and 28 days) and tensile splitting strength (7 and 28 days) tests on them. Also, visual examination by using digital microscope, and image analysis by using image processing techniques with open source coded ImageJ program were performed. As a result of the study, it is determined that GGBFS and SBR addition strengthens the adhesion sites formed as it increases the adhesion power of the mixture and helps to get rid of the segregation problem caused by EPS. As a result of the image processing analysis it is demonstrated that GGBFS and SBR addition has positive contribution on homogeneity index.

Low Carbonization Technology & Traceability for Sustainable Textile Materials (지속가능 섬유 소재 추적성과 저탄소화 공정)

  • Min-ki Choi;Won-jun Kim;Myoung-hee Shim
    • Fashion & Textile Research Journal
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    • v.25 no.6
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    • pp.673-689
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    • 2023
  • To realize the traceability of sustainable textile products, this study presents a low-carbon process through energy savings in the textile material manufacturing process. Traceability is becoming an important element of Life Cycle Assessment (LCA), which confirms the eco-friendliness of textile products as well as supply chain information. Textile products with complex manufacturing processes require traceability of each step of the process to calculate carbon emissions and power usage. Additionally, an understanding of the characteristics of the product planning-manufacturing-distribution process and an overall understanding of carbon emissions sources are required. Energy use in the textile material manufacturing stage produces the largest amount of carbon dioxide, and the amount of carbon emitted from processes such as dyeing, weaving and knitting can be calculated. Energy saving methods include efficiency improvement and energy recycling, and carbon dioxide emissions can be reduced through waste heat recovery, sensor-based smart systems, and replacement of old facilities. In the dyeing process, which uses a considerable amount of heat energy, LNG, steam can be saved by using "heat exchangers," "condensate management traps," and "tenter exhaust fan controllers." In weaving and knitting processes, which use a considerable amount of electrical energy, about 10- 20% of energy can be saved by using old compressors and motors.

A Study on Drone Nozzle Design for Greenhouse Shading (온실차광을 위한 드론 전용노즐 설계에 관한 연구)

  • Ungjin Oh;Jin-Taek Lim
    • Journal of the Institute of Convergence Signal Processing
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    • v.24 no.4
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    • pp.249-254
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    • 2023
  • Recently, the distribution of drones is being activated by saving farmers' working time and protecting them from harmful human bodies from pesticides due to the mission of spraying pesticides using drones. It is possible to compensate for various shortcomings derived from the existing pesticide spraying method, wide-area control and helicopter control. Recently, the smart farm expansion policy has actively used it to generate profits for farmers by increasing harvests by monitoring growth information of various crops based on IoT in real time and collecting big data on key variables, and related drone industry technologies are also being developed. In this study, drones were applied to the work of shading greenhouses to secure diversity in agricultural application fields, and basic research on the greenhouse environment was conducted to materialize the technology related to shading. In order to provide high-quality light in consideration of the internal and external environment of the green house, basic research was conducted to enable light-shielding missions using drones through nozzle design for uniform spraying of nozzles of drones, light-transmitting rate analysis of green houses, and light-shielding agent application experiments.

Analysis and Design on Mobile Application Based Social Dating Contents (모바일 앱 기반 소셜 데이팅 콘텐츠의 분석과 설계)

  • Lee, Hyo-Jung;Choi, Yoon-Ho;Lee, Byoung Yup;Lee, Jae-Won
    • The Journal of the Korea Contents Association
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    • v.14 no.4
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    • pp.336-345
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    • 2014
  • Social dating contents that transformed from online dating service needs understanding about the market status, magnitude, business concept and related area, and its development process. Nowadays the field of dating service had expanded from off-line to on-line, and then started to be changed to social dating services with the development of the highest smart phone penetration rate. Therefore, we investigated about the market, business concept and its functions of social dating application, and then classified the typology of those social dating applications according to feature with utilization rate of user. We had described about its partial deficits and improvements on the social dating application through comparative analysis and business model analysis about successful case. As conclusions, we suggested future strategies of competition and directivity with an improving way about concrete plan for industry development of social dating application.

Korean Geographies of Retailing and Consumption (국내 소매.소비지리학의 연구 동향과 과제)

  • Chung, Su-Yeul
    • Journal of the Economic Geographical Society of Korea
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    • v.14 no.3
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    • pp.394-406
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    • 2011
  • The retailing industry in Korea has developed with new store formats: supermarket, convenient store, discount Store, and super-super market. Also, there are confrontation and conflict between them, becoming a national issue. This study reviews the existing literatures in Korean geography of retailing and consumption and attempts to set forth the future research themes and topics. The review shows that the existing literatures disproportionately focus on location, diffusion, and market area of the new store formats. The future research themes and topics includes the marketplace combined with recreation, donation, environment-friendliness, or social welfare; marketplace as a part of global production and distribution system; expansion of marketplace into homes which are longstanding private space; spatial structure of retailing at various geographical scale.

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On the on and off line integrated marketing strategy for retail firms empirical models for BAROKOSA (유통기업의 온-오프라인 통합마케팅 전략 -(주)Barokosa 사례를 중심으로-)

  • Kim Chang-Ho
    • The Journal of Information Technology
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    • v.6 no.3
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    • pp.151-168
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    • 2003
  • The present paper attempts to describe on and off line integrated marketing and develop an empirical model for distribution industry. The focus is given on the small and medium size retail and service area. With both empirical case studies and literature review, we aim to develop empirical cases and propose a desirable marketing strategy for specific firms : BAROKOSA is pursues cooperation in wholesale business on the internet. For the purpose of the cooperative and integrated marketing of on and off line business, first of all, the firms should establish a clear target and share vision and mission for their directions. We suggest the following guidelines: (i) customer-based decision making, (ii) thoroughly cooperative competition, (iii) confidence in their work and business, (iv) courage to live up to action and (v) innovation to lead change.

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A Study on the Optimum Tandem Welding Torch Distance for the Reduction of CO2 Shielding Gas Consumption (Tandem 용접 CO2 보호가스 사용량 감소를 위한 최적 토치 극간거리에 대한 연구)

  • Lee, Jun-Yong;Kim, Ill-Soo;Choi, Young-Do
    • Journal of Advanced Marine Engineering and Technology
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    • v.36 no.2
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    • pp.294-301
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    • 2012
  • Shipbuilding industry has used a lot of $CO_2$ gas as a shielding gas for arc welding and thus, development of welding equipment which can reduce the amount of $CO_2$ gas is requested widely. Therefore, this study is focused on the examination of optimum welding torch distance of Tandem welding system as a fundamental study for the optimum shape design of torch nozzle. $CO_2$ shielding gas distribution and welding bead shape formation by the torch distance are examined. Results show that according to the torch distance variation, most effective shielding gas layer can be formed and quantitative determination of the optimum torch distance can result in the reduction of $CO_2$ shielding gas consumption.