• Title/Summary/Keyword: Automatic return

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A Study on the Fast Fashion(Part I) - Focusing on Marketing Strategy - (패스트 패션(Fast Fashion)에 대한 고찰(제1보) - 마케팅 전략을 중심으로 -)

  • Kim, Sun-Hee
    • The Research Journal of the Costume Culture
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    • v.15 no.5
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    • pp.875-887
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    • 2007
  • The purpose of this study is to provide the fashion industry in Korea with materials that could enhance its international competitiveness by suggesting marketing strategies for fast fashion brands after taking product, price, place, and promotion into consideration. The product strategy should focus on developing products that accurately reflect the general market trend and consumer demand, selecting optimal materials, and pursuing internal production. This, coupled with strategic cooperation with designers, will ensure reliable quality and enhance the brand image. The pricing strategy should place greater emphasis on reducing production costs. Diverse task outsourcing and design competition, for instance, can lower the cost of design development. The place strategy should be set according to the operation of a systematic and efficient distribution system based on SPA, an automatic delivery system, sales or return system, speed control system, and a value chain that consists of horizontal business alliances. The promotion strategy should be run under the central control of the headquarters using various unique VMDs. Furthermore, online marketing campaigns, spectacular fashion shows, design competitions, catalogue marketing campaigns, and other new sales promotion schemes could all be introduced.

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A Design and Development of a Temporary Housing System Based on BIM in Advance of Disasters (BIM 기반 재난 대비 임시주거시설 설계 시스템 개발에 관한 연구)

  • Yoon, Seung-Hyun;Choi, Jin-Won;Cho, Su-Yeon
    • Journal of the Korean housing association
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    • v.24 no.1
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    • pp.69-78
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    • 2013
  • Recently, due to the casualties and property damage caused by disasters, it became important to evacuate the victims to a safe place and come up with a space for them to inhabit for a certain period of time. Therefore, this study aims to design and develop a temporary housing system that would quickly provide a safe and comfortable living space until the displaced persons can return to a normal life again when a disaster occurs. As a result, a system of a BIM-based modular housing, a modular town through automatic placement, and a method to calculate the capacity and the total cost was developed. As this system provides the temporary housing facilities and the site in 3D, it can be utilized as a training material on a normal basis, as well as the first case material for rapid decision making when there is a disaster.

The Failure Mode and Effects Analysis Implementation for Laser Marking Process Improvement: A Case Study

  • Deng, Wei-Jaw;Chiu, Chung-Ching;Tsai, Chih-Hung
    • International Journal of Quality Innovation
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    • v.8 no.1
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    • pp.137-153
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    • 2007
  • Failure mode and effects analysis (FMEA) is a preventive technique in reliability management field. The successful implementation of FMEA technique can avoid or reduce the probability of system failure and achieve good product quality. The FMEA technique had applied in vest scopes which include aerospace, automatic, electronic, mechanic and service industry. The marking process is one of the back ends testing process that is the final process in semiconductor process. The marking process failure can cause bad final product quality and return although is not a primary process. So, how to improve the quality of marking process is one of important production job for semiconductor testing factory. This research firstly implements FMEA technique in laser marking process improvement on semiconductor testing factory and finds out which subsystem has priority failure risk. Secondly, a CCD position solution for priority failure risk subsystem is provided and evaluated. According analysis result, FMEA and CCD position implementation solution for laser marking process improvement can increase yield rate and reduce production cost. Implementation method of this research can provide semiconductor testing factory for reference in laser marking process improvement.

Modelling Pasture-based Automatic Milking System Herds: The Impact of Large Herd on Milk Yield and Economics

  • Islam, M.R.;Clark, C.E.F.;Garcia, S.C.;Kerrisk, K.L.
    • Asian-Australasian Journal of Animal Sciences
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    • v.28 no.7
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    • pp.1044-1052
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    • 2015
  • The aim of this modelling study was to investigate the effect of large herd size (and land areas) on walking distances and milking interval (MI), and their impact on milk yield and economic penalties when 50% of the total diets were provided from home grown feed either as pasture or grazeable complementary forage rotation (CFR) in an automatic milking system (AMS). Twelve scenarios consisting of 3 AMS herds (400, 600, 800 cows), 2 levels of pasture utilisation (current AMS utilisation of 15.0 t dry matter [DM]/ha, termed as 'moderate'; optimum pasture utilisation of 19.7 t DM/ha, termed as 'high') and 2 rates of incorporation of grazeable complementary forage system (CFS: 0, 30%; CFS = 65% farm is CFR and 35% of farm is pasture) were investigated. Walking distances, energy loss due to walking, MI, reduction in milk yield and income loss were calculated for each treatment based on information available in the literature. With moderate pasture utilisation and 0% CFR, increasing the herd size from 400 to 800 cows resulted in an increase in total walking distances between the parlour and the paddock from 3.5 to 6.3 km. Consequently, MI increased from 15.2 to 16.4 h with increased herd size from 400 to 800 cows. High pasture utilisation (allowing for an increased stocking density) reduced the total walking distances up to 1 km, thus reduced the MI by up to 0.5 h compared to the moderate pasture, 800 cow herd combination. The high pasture utilisation combined with 30% of the farm in CFR in the farm reduced the total walking distances by up to 1.7 km and MI by up to 0.8 h compared to the moderate pasture and 800 cow herd combination. For moderate pasture utilisation, increasing the herd size from 400 to 800 cows resulted in more dramatic milk yield penalty as yield increasing from c.f. 2.6 and 5.1 kg/cow/d respectively, which incurred a loss of up to $AU 1.9/cow/d. Milk yield losses of 0.61 kg and 0.25 kg for every km increase in total walking distance (voluntary return trip from parlour to paddock) and every one hour increase in MI, respectively. The high pasture utilisation combined with 30% of the farm in CFR in the farm increased milk yield by up to 1.5 kg/cow/d, thereby reducing loss by up to $0.5/cow/d (c.f. the moderate pasture and 800 cow herd scenario). Thus, it was concluded that the successful integration of grazeable CFS with pasture has the potential to improve financial performance compared to the pasture only, large herd, AMS.

Analysis of Extreme Rainfall Distribution Scenarios over the Landslide High Risk Zones in Urban Areas (도심지 토사재해 고위험지역 극치강우 시간분포 시나리오 분석)

  • Yoon, Sunkwon;Jang, Sangmin;Rhee, Jinyoung
    • Journal of The Korean Society of Agricultural Engineers
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    • v.58 no.3
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    • pp.57-69
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    • 2016
  • In this study, we analyzed the extreme rainfall distribution scenarios based on probable rainfall calculation and applying various time distribution models over the landslide high risk zones in urban areas. We used observed rainfall data form total 71 ASOS (Automated Synoptic Observing System) station and AWS (Automatic Weather Station) in KMA (Korea Meteorological Administration), and we analyzed the linear trends for 1-hr and 24-hr annual maximum rainfall series using simple linear regression method, which are identified their increasing trends with slopes of 0.035 and 0.660 during 1961-2014, respectively. The Gumbel distribution was applied to obtain the return period and probability precipitation for each duration. The IDF (Intensity-Duration-Frequency) curves for landslide high risk zones were derived by applying integrated probability precipitation intensity equation. Results from IDF analysis indicate that the probability precipitation varies from 31.4~38.3 % for 1 hr duration, and 33.0~47.9 % for 24 hr duration. It also showed different results for each area. The $Huff-4^{th}$ Quartile method as well as Mononobe distribution were selected as the rainfall distribution scenarios of landslide high risk zones. The results of this study can be used to provide boundary conditions for slope collapse analysis, to analyze sediment disaster risk, and to use as input data for risk prediction of debris flow.

An economic feasibility analysis of the automatic operation system development for hairtail trolling line in Jeju region, Korea (제주지역 갈치 끌낚시 조업 자동화 시스템 개발의 경제성 분석)

  • HONG, Seong-Wan;YANG, Ung-Gyu;KIM, Mun-Kwan;PARK, Yong-Seok;PARK, Kyoung-Il;KIM, Do-Hoon
    • Journal of the Korean Society of Fisheries and Ocean Technology
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    • v.54 no.2
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    • pp.164-172
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    • 2018
  • This study aimed to analyze the profitability and economic feasibility of hairtail trolling line gear that was developed for the last 3 years (2015-2017). The new fishing gear technology development was accomplished to solve the current problem of fishermen shortage in hairtail targeting fisheries in Jeju region. Results indicated that the profitability of developed hairtail trolling line fishery was estimated to be 36.1 % which would be higher than that of other hairtail targeting fisheries in Jeju region. In addition, as an economic feasibility, the net present value and the internal rate of return of a 20-year cash inflow and outflow were evaluated to be 400.2 million won and 66.9 %, respectively. However, sensitivity analyses of main variables showed that the profitability and economic feasibility would be vulnerable to catch amount and market condition changes.

Rule Acquisition Using Ontology Based on Graph Search (그래프 탐색을 이용한 웹으로부터의 온톨로지 기반 규칙습득)

  • Park, Sangun;Lee, Jae Kyu;Kang, Juyoung
    • Journal of Intelligence and Information Systems
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    • v.12 no.3
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    • pp.95-110
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    • 2006
  • To enhance the rule-based reasoning capability of Semantic Web, the XRML (eXtensible Rule Markup Language) approach embraces the meta-information necessary for the extraction of explicit rules from Web pages and its maintenance. To effectuate the automatic identification of rules from unstructured texts, this research develops a framework of using rule ontology. The ontology can be acquired from a similar site first, and then can be used for multiple sites in the same domain. The procedure of ontology-based rule identification is regarded as a graph search problem with incomplete nodes, and an A* algorithm is devised to solve the problem. The procedure is demonstrated with the domain of shipping rates and return policy comparison portal, which needs rule based reasoning capability to answer the customer's inquiries. An example ontology is created from Amazon.com, and is applied to the many online retailers in the same domain. The experimental result shows a high performance of this approach.

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Development of Electric Power Management System for Electric Furnace (전기로 전력관리 시스템 개발)

  • Min, Byeong-Yong;Kim, Ho-Jin;Kwon, Yong-Hoon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2013.05a
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    • pp.904-907
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    • 2013
  • Demand Controller is a control device that if current electric power consumption seems to exceed the targeted amount of electric power, block the connected load devices. When this ON/OFF way is applied to electric power management of electric furnace, start and stop operation of inverter and an electric heater which supplying electric power is being performed repeatedly. This has a problem of life-shortening of inverter and an electric heater by electrical damage. In addition, when electric power supplying is blocked, attemperation is not allowed until return to normal operation condition. In this paper, we develop power management system for electric furnace using the electric furnace remote controller. This system provides the automatic control for approved electric power to electric furnace organically and prevent electric damage of inverter and an electric heater through continuous electric power supply within the targeted amount of electric power.

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Automatic Extraction of Individual Tree Height in Mountainous Forest Using Airborne Lidar Data (항공 Lidar 데이터를 이용한 산림지역의 개체목 자동 인식 및 수고 추출)

  • Woo, Choong-Shik;Yoon, Jong-Suk;Shin, Jung-Il;Lee, Kyu-Sung
    • Journal of Korean Society of Forest Science
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    • v.96 no.3
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    • pp.251-258
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    • 2007
  • Airborne Lidar (light detection and ranging) can be an effective alternative in forest inventory to overcome the limitations of conventional field survey and aerial photo interpretation. In this study, we attempt to develop methodologies to identify individual trees and to estimate tree height from airborne Lidar data. Initially, digital elevation model (DEM) data representing the exact ground surface were generated by removing non-ground returns from the multiple-return laser point clouds, obtained over the coniferous forest site of rugged terrain. Based on the canopy height model (CHM) data representing non-ground layer, individual tree heights are extracted through pseudo-grid method and moving window filtering algorithm. Comparing with field survey data and aerial photo interpretation on sample plots, the number of trees extracted from Lidar data show over 90% accuracy and tree heights were underestimated within 1.1m in average at two plantation stands of pine (Pinus koraiensis) and larch (Larix leptolepis).

Development of Automatic Peach Grading System using NIR Spectroscopy

  • Lee, Kang-J.;Choi, Kyu H.;Choi, Dong S.
    • Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
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    • 2001.06a
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    • pp.1267-1267
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    • 2001
  • The existing fruit sorter has the method of tilting tray and extracting fruits by the action of solenoid or springs. In peaches, the most sort processing is supported by man because the sorter make fatal damage to peaches. In order to sustain commodity and quality of peach non-destructive, non-contact and real time based sorter was needed. This study was performed to develop peach sorter using near-infrared spectroscopy in real time and nondestructively. The prototype was developed to decrease internal and external damage of peach caused by the sorter, which had a way of extracting tray with it. To decrease positioning error of measuring sugar contents in peaches, fiber optic with two direction diverged was developed and attached to the prototype. The program for sorting and operating the prototype was developed using visual basic 6.0 language to measure several quality index such as chlorophyll, some defect, sugar contents. The all sorting result was saved to return farmers for being index of good quality production. Using the prototype, program and MLR(multiple linear regression) model, it was possible to estimate sugar content of peaches with the determination coefficient of 0.71 and SEC of 0.42bx using 16 wavelengths. The developed MLR model had determination coefficient of 0.69, and SEP of 0.49bx, it was better result than single point measurement of 1999's. The peach sweetness grading system based on NIR reflectance method, which consists of photodiode-array sensor, quartz-halogen lamp and fiber optic diverged two bundles for transmitting the light and detecting the reflected light, was developed and evaluated. It was possible to predict the soluble solid contents of peaches in real time and nondestructively using the system which had the accuracy of 91 percentage and the capacity of 7,200 peaches per an hour for grading 2 classes by sugar contents. Draining is one of important factors for production peaches having good qualities. The reason why one farm's product belows others could be estimated for bad draining, over-much nitrogen fertilizer, soil characteristics, etc. After this, the report saved by the peach grading system will have to be good materials to farmers for production high quality peaches. They could share the result or compare with others and diagnose their cultural practice.

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