• Title/Summary/Keyword: Management area

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Optimization of Multi-Vehicle Delivery using Sweep Algorithm and Common Area Double Reassignment (Sweep해법 및 공동구역 2차 재할당에 의한 복수차량 배송 최적화 연구)

  • Park, Sungmee;Moon, Geeju
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.37 no.1
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    • pp.133-140
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    • 2014
  • An efficient heuristic for two-vehicle-one-depot problems is developed in this research. Vehicle moving speeds are various along hour based time intervals due to traffic jams of rush hours. Two different heuristics are examined. One is that the delivery area assignment is made using Sweep algorithm for two vehicles by splitting the whole area in half to equally divide all delivery points. The other is using common area by leaving unassigned area between the assigned for two vehicles. The common area is reassigned by two stages to balance the completion time of two vehicle's delivery. The heuristic with common area performed better than the other due to various vehicle moving speeds and traffic jams.

Classification and characteristic of Central Commercial Area Block Development, Gwang-ju (광주광역시 원도심 중심상업지역의 블록 특성 및 유형화)

  • Han, Da-Hyuck;Lee, Min-Seok
    • Journal of the Regional Association of Architectural Institute of Korea
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    • v.20 no.6
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    • pp.89-96
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    • 2018
  • The purpose of this study is to categorize Commercial area by identifying characteristics of blocks and coding them in order to segment use zoning in Commercial area. The study was conducted as follows. Data from building register, cadastral map, statistics annual report are utilized to identify the physical environment of the block. four types used as code under the physical environment classification code which are classification code of physical environment, detail usage, volume ratio, and height type are set, and combine the classification codes sorted by the four types of code. Through the physical environment classification codes, there are currently 37 different block characteristics of the Old downtown Commercial area. Diversity is not reflected. There are only Central commercial area of regulations in Old downtown commercial areas that are uniformly managed. For the renewal, management and development that can occur in the near future, it is necessary to segment of use district in the commercial area. Consider the current situation and future development direction for the management of sustainable commercial areas. Management is required using physical environment classification codes. It is meaningful that it can be maintained, managed and developed in accordance with the characteristics of each block.

A Study on Conversion of Seongnam Dandae Traditional Market into Wedding Market

  • Choi, Young-Gyu;Baek, Oun-Bae;Youn, Myoung-Kil
    • The Journal of Economics, Marketing and Management
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    • v.2 no.3
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    • pp.6-17
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    • 2014
  • In 2014, Seongnam municipal government announced Sanseongro Commercial Area Revitalization including Dandae traditional market with active support of Seongnam municipal government. This study investigated conversion of Dandae market into specialized market to overcome economic stagnation and to make success case of wedding market. The study suggested supplementation of current problems as well as incidental businesses. The study gave SWOT analysis and management reformation to make success case of specialized market and to suggest win-win strategies and development plans to produce wedding market.

An Application of Linear Programming to Multiple-Use Forest Management Planning (다목적(多目的) 산림경영계획(山林經營計劃)을 위한 선형계획법(線型計劃法)의 응용(應用))

  • Park, Eun Sik;Chung, Joo Sang
    • Journal of Korean Society of Forest Science
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    • v.88 no.2
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    • pp.273-281
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    • 1999
  • In this study, linear programming (LP) was applied to solving for optimal harvesting schedules of multiple-use forest management in Mt. Kari area managed by Chunchun National Forest Station. Associated with the geographic characteristics, the study area was classified into 4 large management units or watersheds and simultaneously applied were the site-specific levels of management constraints : nondeclining yield, initial cut for existing stands, % cut area, the volume of soil erosion, timber production and carbon storage, ending inventory condition and % area species selection for regeneration. The problem was formulated using both Model I and Model II techniques. In this paper, the formulations are presented and the results of the optimal solutions are discussed for comparison purposes.

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A Study on Explosion Risk Management for Hot Oil Heater (열매체 가열기 설비에서의 폭발위험관리에 관한 연구)

  • Jang, Chul;Kwon, Jin-Wook;Hwang, Myoung-Hwan
    • Journal of the Korea Safety Management & Science
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    • v.19 no.3
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    • pp.1-9
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    • 2017
  • In the industrial field, various type of fuel have been used for product processing facilities. Recent for 10 years, the usage of natural gas (NG) was gradually increased. Because it has many merits; clean fuel, no transportation, storage facility and so on. There are common safety concept that strict explosion protection approaches are needed for facilities where explosive materials such as flammable liquid, vapor and gases exist. But some has an optimistic point of view that the lighter than air gases such as NG disperse rapidly, hence do not form explosion environment upon release into the atmosphere, many parts has a conventional safety point of view that those gases are also inflammable gases, hence can form explosion environment although the extent is limited and present. In this paper, the heating equipments (Hot Oil Heater) was reviewed and some risk management measures were proposed. These measures include hazardous area classification and explosion-proof provisions of electric apparatus, an early gas leak detection and isolation, ventilation system reliability, emergency response plan and training and so on. This study calculates Hazardous Area Classification using the hypothetical volume in the KS C IEC code.

Analysis on Shopmaster's Knowledge of Apparel Merchandise and Textile Recognition (샵마스터의 의류 상품 이해도 및 소재 지식도 평가)

  • Lee, Sun-Young;Kim, Jeong-Hwa;Lee, Jung-Soon
    • Korean Journal of Human Ecology
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    • v.15 no.5
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    • pp.783-790
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    • 2006
  • The purposes of this study are to analyze shopmasters' knowledge of apparel merchandise and textile recognition and to investigate the effects of demographic variables on them. Shopmasters' knowledge of apparel merchandise was analyzed on a factor basis. Four factors of apparel merchandise were fashion property, material property, function property and management property. The textile knowledge level of shopmasters was 72.44%. Considering each part of textile knowledge, basic property was 74.69%, comfort 72.17%, management 68.36% and finishing 77.33%. The level of recognition in finishing area was the highest and the level of recognition in management area was the lowest. There were significant differences in the textile knowledge by gender and working period. Female's textile knowledge level was higher. The longer the working period is, the higher the level of textile knowledge is. Shopmasters recognized the finishing area better than university students did. But both of the groups didn't recognize the management area well.

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A Study on the Development of a Wide-Area Monitoring and Control System for Tug/barges

  • Moon, Serng-Bae;Kim, Bo-Kyung;Jeong, Tae-Gweon
    • Journal of Navigation and Port Research
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    • v.33 no.9
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    • pp.609-614
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    • 2009
  • The traffic of tug/barges which are carrying construction materials, large plants for harbor development, or offshore structures has recently increased in the coast of Korea. The west and south coast of Korea are always congested due to a lot of islands and traffic concentration. Specially tug/barges have higher probability of marine accidents due to their bad maneuverability than others. Considering the operational circumstance and maneuverability, this study was to develop a wide-area monitoring and control system for tug/barges in the coastal area of Korea. The system was made in the form of three program modules i.e. navigation analysis program module, monitoring and control program module, database module. And seven functions were programmed to monitor and control the tug/barges efficiently. These are ship information search, tug/barge information and track management, designated area and safe navigation zone management, fairway management, accident data management, warning of danger, safety information management.

Dynamics of Adult and Larval Dungeness Crabs: Larval Abundance as an Indicator of Adult Abundance in Regional Populations (던저네스 게 성체와 유생의 역학: 지역 개체군 지표로서의 유생의 풍도)

  • Park, Won-Gyu
    • Journal of Fisheries and Marine Sciences Education
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    • v.24 no.1
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    • pp.9-17
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    • 2012
  • The relationship between adult abundance and zoea I (ZI) density of Dungeness crabs was investigated in southeastern Alaska. Commercial harvest data (catch per pot) for male crabs larger than 165 mm in carapace width were collected from the Alaska Department of Fish and Game (ADF&G) management area, district 114 and a subdivision of district 114, 114C from 1996 to 2003. Commercial harvests of Dungeness crabs in the management area varied interannually. Commercial harvests decreased until 2000 but increased beginning in 2001. ZI density was obtained from zooplankton samples collected monthly from sampling stations within the same management district from 1997 to 2004. ZI occurred mostly in May and June, but as late as July in 1997 and 2002. ZI densities increased beginning in 1999. Total densities of ZI were significantly correlated with the commercial harvest data of adult male crabs within the management area, 114C (tens of square kilometers), containing the plankton sampling stations, but were not related to total commercial harvests within the larger geographic management area 114 (hundreds of square kilometers). We suggest that larval density may be an indicator of abundance of adult populations of Dungeness crabs.

Development of Flooding area estimation module for Rubber-tired Tram Disaster Management System Using the SWMM Model (SWMM 모형을 이용한 홍수시 바이모달 트램 운행 노선에 대한 침수 면적 산정 모듈 개발)

  • Kim, Jong-Gun;Park, Young-Kon;Yoon, Hee-Taek;Park, Youn-Shik;Jang, Won-Seok;Yoo, Dong-Seon;Lim, Kyoung-Jae
    • Proceedings of the KSR Conference
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    • 2008.11b
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    • pp.61-65
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    • 2008
  • Urban flooding with surcharges in sewer system was investigated because of unexpected torrential storm events these days, causing significant amounts of human and economic damages. Although there are limitations in forecasting and preventing natural disasters, integrated urban flooding management system using the SWMM engine and Web technology will be an effective tool in securing safety in operating Bi-modal transportation system. In addition, the integrated urban flooding management system can be linked with general and transportation-related disaster management system in the future. In this study, With simulated values by the SWMM, which is a core engine of the Bi-modal disaster management system, flash flooding area estimation module was developed. Thus, the SWMM system codes were modified and new module was developed and integrated with the existing SWMM interface using the Delphi programming language. The flash flooding area estimation module is fully integrated with the SWMM interface, thus the area is estimated on-the-fly inside the system.

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Growth Monitoring for Soybean Smart Water Management and Production Prediction Model Development

  • JinSil Choi;Kyunam An;Hosub An;Shin-Young Park;Dong-Kwan Kim
    • Proceedings of the Korean Society of Crop Science Conference
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    • 2022.10a
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    • pp.58-58
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    • 2022
  • With the development of advanced technology, automation of agricultural work is spreading. In association with the 4th industrial revolution-based technology, research on field smart farm technology is being actively conducted. A state-of-the-art unmanned automated agricultural production demonstration complex was established in Naju-si, Jeollanam-do. For the operation of the demonstration area platform, it is necessary to build a sophisticated, advanced, and intelligent field smart farming model. For the operation of the unmanned automated agricultural production demonstration area platform, we are building data on the growth of soybean for smart cultivated crops and conducting research to determine the optimal time for agricultural work. In order to operate an unmanned automation platform, data is collected to discover digital factors for water management immediately after planting, water management during the growing season, and determination of harvest time. A subsurface drip irrigation system was established for smart water management. Irrigation was carried out when the soil moisture was less than 20%. For effective water management, soil moisture was measured at the surface, 15cm, and 30cm depth. Vegetation indices were collected using drones to find key factors in soybean production prediction. In addition, major growth characteristics such as stem length, number of branches, number of nodes on the main stem, leaf area index, and dry weight were investigated. By discovering digital factors for effective decision-making through data construction, it is expected to greatly enhance the efficiency of the operation of the unmanned automated agricultural production demonstration area.

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