• Title/Summary/Keyword: 산업시설

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A Study on the Role of Public Sewage Treatment Facilities using Wastewater-based Epidemiology (하수기반역학을 적용한 공공하수처리시설 역할 재정립)

  • Park Yoonkyung;Yun Sang-Lean;Yoon Younghan;Kim Reeho;Nishimura Fumitake;Sturat L. Simpson;Kim Ilho
    • Journal of Korean Society on Water Environment
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    • v.39 no.3
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    • pp.231-239
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    • 2023
  • Public sewage treatment facilities are a necessary infrastructure for public health that treat sewage generated in cities and basin living areas and discharge it into rivers or seas. Recently, the role of public sewage treatment is receiving attention as a place of use of wastewater-based epidemiology (WBE), which analyzes human specific metabolic emissions or biomarkers present in sewage to investigate the environment to which the population is exposed in the water drain. WBE is mainly applied to investigate legal and water-law drug use or to predict and analyze the lifestyle of local residents. WBE has also been applied to predict and analyze the degree of infectious diseases that are prevalent worldwide, such as COVID-19. Since sewage flowing into public sewage treatment facilities includes living information of the population living in the drainage area, it is easy to collect basic data to predict the confirmation and spread of infectious diseases. Therefore, it is necessary to establish a new role of public sewage treatment facilities as an infrastructure necessary for WBE that can obtain information on the confirmation and spread of infectious diseases other than the traditional role of public sewage treatment. In South Korea, the sewerage supply rate is about 95.5% and the number of public sewage treatment facility is 4,209. This means that the infrastructure of sewerage is fully established. However, to successfully drive for WBE , research on monitoring and big-data analysis is needed.

Development of an Ensemble-Based Multi-Region Integrated Odor Concentration Prediction Model (앙상블 기반의 악취 농도 다지역 통합 예측 모델 개발)

  • Seong-Ju Cho;Woo-seok Choi;Sang-hyun Choi
    • Journal of Intelligence and Information Systems
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    • v.29 no.3
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    • pp.383-400
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    • 2023
  • Air pollution-related diseases are escalating worldwide, with the World Health Organization (WHO) estimating approximately 7 million annual deaths in 2022. The rapid expansion of industrial facilities, increased emissions from various sources, and uncontrolled release of odorous substances have brought air pollution to the forefront of societal concerns. In South Korea, odor is categorized as an independent environmental pollutant, alongside air and water pollution, directly impacting the health of local residents by causing discomfort and aversion. However, the current odor management system in Korea remains inadequate, necessitating improvements. This study aims to enhance the odor management system by analyzing 1,010,749 data points collected from odor sensors located in Osong, Chungcheongbuk-do, using an Ensemble-Based Multi-Region Integrated Odor Concentration Prediction Model. The research results demonstrate that the model based on the XGBoost algorithm exhibited superior performance, with an RMSE of 0.0096, significantly outperforming the single-region model (0.0146) with a 51.9% reduction in mean error size. This underscores the potential for increasing data volume, improving accuracy, and enabling odor prediction in diverse regions using a unified model through the standardization of odor concentration data collected from various regions.

A study on the Construction of a Big Data-based Urban Information and Public Transportation Accessibility Analysis Platforms- Focused on Gwangju Metropolitan City - (빅데이터 기반의 도시정보·접대중교통근성 분석 플랫폼 구축 방안에 관한 연구 -광주광역시를 중심으로-)

  • Sangkeun Lee;Seungmin Yu;Jun Lee;Daeill Kim
    • Smart Media Journal
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    • v.11 no.11
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    • pp.49-62
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    • 2022
  • Recently, with the development of Smart City Solutions such as Big data, AI, IoT, Autonomous driving, and Digital twins around the world, the proliferation of various smart devices and social media, and the record of the deeds that people have left everywhere, the construction of Smart Cities using the "Big Data" environment in which so much information and data is produced that it is impossible to gauge the scale is actively underway. The Purpose of this study is to construct an objective and systematic analysis Model based on Big Data to improve the transportation convenience of citizens and formulate efficient policies in Urban Information and Public Transportation accessibility in sustainable Smart Cities following the 4th Industrial Revolution. It is also to derive the methodology of developing a Big Data-Based public transport accessibility and policy management Platform using a sustainable Urban Public DB and a Private DB. To this end, Detailed Living Areas made a division and the accessibility of basic living amenities of Gwangju Metropolitan City, and the Public Transportation system based on Big Data were analyzed. As a result, it was Proposed to construct a Big Data-based Urban Information and Public Transportation accessibility Platform, such as 1) Using Big Data for public transportation network evaluation, 2) Supporting Transportation means/service decision-making based on Big Data, 3) Providing urban traffic network monitoring services, and 4) Analyzing parking demand sources and providing improvement measures.

Evaluation Model for Lateral Flow on Soft Ground Using Commitee and Probabilistic Neural Network Theory (군집신경망과 확률신경망 이론을 이용한 연약지반의 측방유동 평가 모델)

  • Kim, Young-Sang;Joo, No-Ah;Lee, Jeong-Jae
    • Journal of the Korean Geotechnical Society
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    • v.23 no.7
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    • pp.65-76
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    • 2007
  • Recently, there have been many construction projects on soft ground with growth of industry and various construction problems concerning soft soil behavior also have been reported. Especially, foundation piles of abutments and (or) buildings which were constructed on the soft ground have been suffering from a lot of stability problems of inordinary displacement due to lateral flow of soft ground. Although many researches for this phenomena have been carried out, it is still difficult to assess the mechanism of lateral flow on soft ground quantitatively. And reliable design method for judgement of lateral flow occurrence is not established yet. In this study, PNN (probabilistic neural network) and CNN (committee neural network) theories were applied for judgment of lateral flow occurrence based on eat data compiled from Korea and Japan. Predictions of PNN and CNN models for new data which were not used during model development are compared with those predicted by conventional empirical methods. It was found that the developed PNN and CNN models can predict more precise and reliable judgment of lateral flow occurrence than conventional empirical methods.

A Study on the Effect of Convention Participants' Convention Service Quality on Convention Destination's Visiting Value, Intention to Behavior (외국인 컨벤션 참가자의 컨벤션 서비스품질 인식에 따른 컨벤션목적지 방문가치 및 미래행동의도 연구)

  • Choi, Hey Min;Yoon, Yoo Shik
    • Korea Science and Art Forum
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    • v.25
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    • pp.449-461
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    • 2016
  • This study was to investigate convention service quality that affect convention destination visiting values and intention to behavior from foreign convention attendances' perspectives. From the literature review, convention service quality and destination visiting value were discussed to provide logical linkage among proposed concepts. A total of 308 useful date were collected from on site survey at the convention centers in Seoul. Factor analysis and multiple regression analysis were performed to achieve the objective of this study. Factor analysis showed that there were four underlying dimensions in the convention service quality such as mutual human interaction, program quality, useful information, transportation and convenient facility. Multiple regression showed that these convention service quality affects destination visiting values and behavior intention. More discussion and implication are provided in the conclusion section.

Risk Assessment on the Water BOT Business Participation in China : Domestic EPC Contractor's View (해외기업의 중국 수처리 BOT시장 참여 저해 위험요인 분석 : 국내 EPC 건설기업의 관점)

  • Choi, Jae-ho;Li, Shoushuang;Lee, Seungho
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.28 no.5D
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    • pp.695-703
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    • 2008
  • China water market has huge potential for increased use of BOT mode and one of the most attractive markets of doing business. However, the current China water BOT market shows that many foreign companies are retreating from the market while Chinese water companies fast growing. From the view no domestic companies have track records in China BOT water market, the research identified twenty market access barriers in terms of construction laws, regulations, BOT-related policy and the recent market situation. These are evaluated based on interview results with 10 professionals direct or indirect having a China water BOT experience. All the factors are found to be highly influential to foreign company's decision on the market participation. Among those, no fixed return policy and low water price, difficulty in water price adjustment and approval, and no government guarantees, all directly related to the project viability and under the control of government, were the most critical factors, implying government's role is the key in increasing the market competition by attracting more foreign participation on the market. In addition, new construction law regulating foreign EPC contractor's construction work, namely Decree 113, and requirement of applying competitive bidding in selecting EPC contractor in a BOT project are also considered signigicant barriers on foreign participation, which contradicts international norm and therefore necessitates an adjustment on current decision process in domestic companies.

A Case Study of Successful Strategy for Self-Directed Learning Center of Educational Service Franchise - Focusing on the Case of Learning Center of Daekyo Noonnoppi - (교육 서비스 프랜차이즈의 자기주도 학습관 사업화 사례연구 - 대교 눈높이 러닝센터 사례를 중심으로 -)

  • Yoo, Dong-Keun;Hong, Jong-Pil;Hwang, Jae-Kwang
    • The Korean Journal of Franchise Management
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    • v.5 no.1
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    • pp.49-64
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    • 2014
  • The purpose of this work is to analyze successful business strategy of Daekyo Noonnoppi. Daekyo Noonnoppi, a franchise company of educational service, activated education business by establishing new way of providing education opportunity: self-directed learning center. They introduced not only the concept of learning center but also sustainable business strategies, which leads to remarkable success in the education business field. Daekyo Noonnoppi deployed three managerial concepts for study achievement: goal management, study management, and environment management. This Franchise company has three advantages of its success: Goal, Study and environment management: First, the goal management helps students to develop self-directed attitudes by making(appropriate) atmosphere which is able to build study goal and plan. In addition, this company provides information to their students to searches ways of study through the test reflecting their tendency. Furthermore, this company offers a variety of events for motivating study. Second, study management is helpful for students to develop holistic fundamental knowledge through its textbooks of this company and provides solutions and time management for study through 1 on 1 study advice. Third, environment management is used to making atmosphere to develop self-directed learning way for its students and provides spaces for students equipped with multimedia systems and cyber learning infrastructures.

A Study on Creating Stage Spatial Effects through the Utilization of Mobile Stage Sets- Focusing on the Musical <Les Misérables> - (이동형 무대장치 활용을 통한 무대 공간성 창출 방안 연구 - 뮤지컬 <레미제라블>을 중심으로 -)

  • Park, Chul-Hyun
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.3
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    • pp.391-398
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    • 2023
  • This study focuses on the potential for creating spatial and atmospheric effects in small theaters using mobile stage equipment, without being constrained by physical space or theater facilities, for mega musical productions. With the continuous growth of mega musicals in the domestic market, the study analyzes the distribution and sales of musical works in Korea and proposes methods for creating spatial effects in university musical education to facilitate the production of mega musicals in small theaters. The mobile stage equipment is designed based on the principle of the periaktoi, a stage mechanism used in ancient Greek theater and the characteristics of mobile stage equipment used in musicals such as <Notre Dame de Paris> and <Laundry>. The mobile stage equipment is a four-sided column-shaped device, which is applied to the musical <Les Misérables> to derive the potential for creating spatial effects, representing the inner state of characters, and forming the mood of the drama. The study is expected to provide opportunities for performing mega musical productions in university musical education and to contribute to the development of the musical industry and education. The utilization of mobile stage equipment demonstrates the possibility of producing mega musical productions in small theaters.

Estimation of Accident Effectiveness Based Upon the Location of Traffic Signal Using C-G Method (C-G Method를 활용한 신호등 위치에 따른 교통사고 효과 분석)

  • Kim, Jeong Hyun;Kim, Gyu Ho;Kim, Jang Wook;Lee, Soo Beom
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.28 no.6D
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    • pp.775-789
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    • 2008
  • The Office for Government Policy Coordination announced in 2006, september that a scheme of pre-signal would show remarkable outcome to reduce traffic accidents. Therefore, the Ministry recommended applying preferentially the pre-signal scheme to enhancement projects for high accident frequency areas. In case that the suggested pre-signal was unilaterally introduced to the enhancement projects at intersections, it might rather cause a big trial and error in terms of traffic safety. Hence, on the basis of quantitative analysis, this study was to indicate a pre-signal's effectiveness to reduce the traffic accidents, to illustrate a trend of the accident type due to the pre-signal, and to introduce intersection type that could be appropriate for the pre-signal. The methodology adopted Comparison-Group Method which was developed by Hauer. Through this methodology, overall effectiveness to reduce the accidents is considered positive but individual effectiveness by intersection and by accident case was different. All cases of the accidents at small scale intersection demonstrated positive results to reduce its accidents, while in case of frontal collision and side-right angle collision out of the accident types, the installation of pre-signal rather caused a negative result increasing the accident in terms of the traffic safety. I hope that this study would be a useful reference for future development of the estimation of accident effectiveness. Thus, when the pre-signal is being installed in the big intersection, it is recommended operating the installation concerning carefully improvements about muliple aspects as traffic operation, traffic facility, human factor etc.

A Study on Trip Generation Model considering Trip-chaining by Behavioral Homogeneous Person Group ("유사 통행행태 집단"의 Trip-chaining을 고려한 통행발생 모형)

  • Lee, Seon-Ha;Yun, Jin-Suk
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.26 no.5D
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    • pp.709-716
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    • 2006
  • The rapid changes of family structure such as singles, working couples and so on have effects on a travel behaviour. One of the characteristics from this is the increasing portion of trip-chain, in which plural activities were conducted in a "single outgoing" travel. Therefore travel must be considered as location change to conduct various activities instead of pursuing single travel purpose. This paper specifies a behavioral homogeneous person group by a job, a possession of cars. Based on this classification of person groups and their activity diary, the sequence, time and travel mode of activities in a day can be verified. As a case study household survey was conducted in city Kongju. The survey result shows that the classification of behavioral homogeneous person group based on criteria like employment status and car ownership bring a good result to forecast trip generation in traffic zone.