• Title/Summary/Keyword: cities

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A Study of the Reuse of Old Industrial Facilities through Ecological Design (에콜로지컬디자인을 통한 노후산업시설의 재활용에 관한 연구)

  • Yu, Wen-Ting;Hong, Kwan-Seon
    • Korean Institute of Interior Design Journal
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    • v.24 no.1
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    • pp.144-151
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    • 2015
  • With expansion of modern cities, a huge number of old industrial facilities have been abandoned. Thus, in the development of ecological city, this study aims to conclude on these old facilities and their ecological landscape designs by analyzing successful cases. The approaches adopted are as follows. Starting with literature review, whereby old industrial facility's definition and developing process are pinpointed, the paper studies representative cases with reuse and re-development theories of ecological design for old industrial facilities, of which renovation types, reuse effects, and design features are particularly examined. Case studies also demonstrate considerations in ecological reuse designs, such as ecological restoration, energy conservation, rainwater collection, and utmost pollution reduction, etc. However, technology, environment and circumstance differences determine that each design project requires concrete analysis, which should also be considered in future ecological design for old industrial facilities.

A Study on the Prediction Model of Railway Noise Using Noise Map (소음지도를 이용한 철도소음 예측식의 연구)

  • Park, Chan-Youn;Park, In-Sun;Oh, Jong-Hwa;Lee, Jae-Won;Park, Sang-Kyu
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2007.05a
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    • pp.882-886
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    • 2007
  • People living in the large cities are exposed to high level noise due to road-traffic, railway-traffic and aircraft. Nowadays, some researches are ongoing to reduce the noise by using noise map. However it has to be decided which prediction model is the most suitable in Korea. In this study, it has been focused on railway noise prediction models which are employed in a commercial software(Sound Plan) and developed by Korea Railroad Research Institute, and comparative study of the prediction models has been made.

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An approach for traffic signal control using RFID sensors

  • Seo, Gang-Do;Cho, Jin-Ho
    • Journal of Sensor Science and Technology
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    • v.17 no.3
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    • pp.236-244
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    • 2008
  • The Korean government is building several futuristic cities, ubiquitous City (u-City), with the latest information technology (IT) infrastructure and "ubiquitous" environment. In the "u-City", Intelligent Transportation System (ITS) will be one of the important services. This study proposed a traffic responsive urban traffic control system applicable in those u-City, using RFID (Radio Frequency Identification) technology to get traffic information. And, we proposed a predictive control model using the real time traffic information achieved from the proposed system. A simulation example is provided to demonstrate the applicability of the proposed system and model.

DEA-AR/AHP Model Design for Efficiency Evaluation of Metropolitan Rapid Transit (지하철 효율성 평가를 위한 DEA-AR/AHP 모형 설계)

  • Sim, Gwang-Sic;Kim, Jae-Yun
    • Journal of the Korean Operations Research and Management Science Society
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    • v.34 no.3
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    • pp.105-124
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    • 2009
  • Data Envelopment Analysis (DEA) is a methodology of computing the relative efficiency of each decision making unit (DMU) by comparing it with other DMUs having similar input and output structure. In this paper, we compare the efficiency of Korean rail transit corporations using DEA. To do this, we design a DEA-AR/AHP model, and evaluate efficiency by comparing the subway operating agencies of six big cities. The analysis reveals that Seoul Metro and Seoul city railroad construction turn out to be the most efficient groups. The result of this research can provide helpful information for effective management in a domestic subway operating agency.

In-Vehicle Exposure to Volatile Organic Compounds (휘발성 유기물질에 대한 차량 탑승시 노출)

  • 조완근
    • Journal of Korean Society for Atmospheric Environment
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    • v.12 no.2
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    • pp.151-157
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    • 1996
  • Vehicle occupant exposure to volatile organic compounds (VOCs) continues to be the subject of active research because of higher levels of VOCs in vehicles than in the surrounding ambient atmosphere and because of potential health risk. This study identified in-auto and in-bus exposures to 6 selected aromatic VOCs during rush-hour driving. A bus service route was selected to include an urban route (Taegu) and a suburban route (Hayang-Up) to satisfy the specified criteria of this study. The most abundant VOC concentration measured in this study was toluene. In-vehicle target Voc concentrations of the urban route were significantly different from those of the suburban segment. On the sum of average of the target VOCs, in-auto VOC concentration was about 1.5 times higher than in-bus VOC concentration. Based on the sum of average, in-automobile target VOC concentrations of this study were within the range of previous studies conducted in several cities of the United States, while in-bus VOC concentrations of this study were much lower than those of Taipei in Taiwan. In-vehicle VOC concentrations of present study significantly varied with sampling days, while they did not varied with driving period.

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A Study on the Awareness and Needs of Employees in Office Work Environment -Focused on Pusan and Kyoungnam Area- (업무환경에 대한 이용자의 의식 및 요구에 관한 연구 -부산 및 경남지역 중심으로-)

  • 손광호
    • Korean Institute of Interior Design Journal
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    • no.13
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    • pp.96-101
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    • 1997
  • The purpose of this study was to examine the current office work environment and suggest the needs for improvement the quality and efficiency of work. To fulfill this task, information describing various environmental conditions was gathered from generally large offices in Pusan and Major cities in Kyoungnam. Data were collected on questionnaire's general information, lighting, air quality, temperature, health problems, noise and equipment arrangements, and the size fo workspace. The extent to which the attitudes and behaviors of workers were related to these environmental conditions was then examined and scrutinized. According to the development of office automation, the interest in improvement of office environment become increased. Workstation size, individual environmental control, health care, adequate storage space and noise control should be recognized as critical to the worker's environmental satisfactiov. Finally, based on the results of this study, a number ofrecommendations can be made for alleviating some of the problems that have been identified. Designers should be interested in knowing if their environments actually function in the manner in which they were intended.

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A Basic Study for Environmental Color Planning of Restaurant (레스토랑의 색채환경계획을 위한 기초적 연구 -식사공간을 중심으로-)

  • 홍영란
    • Korean Institute of Interior Design Journal
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    • no.3
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    • pp.10-17
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    • 1994
  • Restaurant is a settign for est and social intercousrse fo rpeople in the cities, and is essential to provide its users with pleasant and comfort space. Color is used as a design tool which has most powerful effect to change the nature of a space and atmosphere, As a basic study for desirable environmental color for restaurant, this is studied mainly on the following discussion points. 1) Inportance of environmental color and its role in accordance with space characteristics as restaurant. 2) The psychological effects of color in the clinetes, color conditioning of the dining ares, problem of change in the appearance of color in the selection of materials and color harmony of total environments. 3) Prior to color planning in detail , the nature and characteristics each restaurant contains and their correlation with various locational , physical , social environmental , human variables have been analyzed. And the total atmosphere of the dining area as a place where the clients finally stay has been dealt with various visual , environmental and functional problems of color about fixed elements such as the wall. the floor, the ceiling and semifixed elements such as tables, chairs, etc.

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Analytical Methods for Spatial Distribution of Hazardous Air Pollutants (HAPs)

  • Amagai, Takashi
    • Proceedings of the Korea Air Pollution Research Association Conference
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    • 2010.04a
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    • pp.41-44
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    • 2010
  • Hazardous air pollutants such as benzo[a]pyrene (BaP), benzene, formaldehyde have been concerned about the adverse health effect of long-term exposure. Contour map is useful for finding high-concentration region, emission source, and distributions of HAPs in the ambient air. To make a contour map, we have developed simple analytical method for selected HAPs; polycyclic aromatic hydrocarbons such as BaP, benzene and its derivatives such as toluene and xylene, and aldehydes and ketones. We have applied these methods to investigate air pollution by HAPs in some cities in Japan. The results show that these methods reveal actual emission sources if the PRTR emission report was not submitted.

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Human-Environmental Ecological City - The Ecoumenal City -

  • Baek, Seungman
    • Architectural research
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    • v.11 no.1
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    • pp.1-6
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    • 2009
  • While the ideal universality of the modern period has achieved outstanding results in terms of establishing sanitary cities in contemporary urban environments, it has caused the decline of the genius loci. This study raises the question of the lost sense of place and proposes a solution, 'The Human-Environmental Ecological City'. The Human-Environmental Ecological City, called 'Ecoumenal City', does not provide a fake idealism with the conclusion of modernity of non-place or sense of place without modernity. It is both cosmological and geogenic, and the technology of the time is projected onto it human-environmentally. It does not pursue any more a urban planning as the overall work of an individual, but it aims at a balance rediscovered through the individual spontaneousness.

Detection of Dangerous Situations using Deep Learning Model with Relational Inference

  • Jang, Sein;Battulga, Lkhagvadorj;Nasridinov, Aziz
    • Journal of Multimedia Information System
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    • v.7 no.3
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    • pp.205-214
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    • 2020
  • Crime has become one of the major problems in modern society. Even though visual surveillances through closed-circuit television (CCTV) is extensively used for solving crime, the number of crimes has not decreased. This is because there is insufficient workforce for performing 24-hour surveillance. In addition, CCTV surveillance by humans is not efficient for detecting dangerous situations owing to accuracy issues. In this paper, we propose the autonomous detection of dangerous situations in CCTV scenes using a deep learning model with relational inference. The main feature of the proposed method is that it can simultaneously perform object detection and relational inference to determine the danger of the situations captured by CCTV. This enables us to efficiently classify dangerous situations by inferring the relationship between detected objects (i.e., distance and position). Experimental results demonstrate that the proposed method outperforms existing methods in terms of the accuracy of image classification and the false alarm rate even when object detection accuracy is low.