• Title/Summary/Keyword: Process Re-engineering

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A Study on the Classification of 500m×500m Mesh Level by the Combinations of Building Needs in Busan for the Feasibility Evaluation of Ocean Energy Plant Introduction (해양에너지 활용지역 선정을 위한 부산시 500m 메시 레벨에서의 건물용도구성에 의한 유형화 연구)

  • Hwang, Kwang-Il
    • Journal of Navigation and Port Research
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    • v.35 no.1
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    • pp.57-62
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    • 2011
  • On the view point of renewable energies as energy sources of district heating and cooling plant, the purpose of this study is to develop, classify and map the 500m${\times}$500m mesh, of which is treated as normal size in DHC regulations for evaluation process. Followings are the results. Various building and geographical informations including 13 districts and 108 counties are re-defined to create 500m${\times}$500m meshes, and it is find out that 3,289 meshes among 8,463 meshes have meaningful floor areas. Only 59 meshes(1.8%) are evaluated as mesh which has more than 50% of building volume ratio per mesh. 5 clusters classified by principal analysis and cluster analysis with building needs' characteristics are defined. Gwang-an Dong is representative of cluster 1 characterized as commercial area, and the cluster 4, 5 which has mainly residential needs are distributed in Yong-ho dong. Because there are a lot of cluster 3 meshes, which has complex needs area based on residential, cluster 3 could be defined as representative of Busan metropolitan city.

Indoor comfort environment modeling engine (실내 쾌적성 모델링 엔진)

  • Lee, Jae-Min;Jeong, Hye-Seong;Kim, Dong-Ju;Jeong, Hoe-Joong;Kim, Ji-Won;Do, Yun-Hyung;Lee, Kang-Whan
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2018.05a
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    • pp.536-539
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    • 2018
  • In this paper, we propose a system that analyzes environment information by using deep learning and then provides a suitable environment for users by predicting environmental information change. As the level of living improves, interest in improving the quality of life is increasing. In particular, as the air quality deteriorated due to the recent occurrence of dust, smog, fine dust, and ultrafine dust, the indoor air quality as well as the outdoor air became a serious problem. The increase of indoor pollution due to the lack of ventilation and the use of chemicals is a serious problem for modern people who have a lot of indoor living. In order to solve this indoor air pollution, a system has been proposed that measures the state of air quality through sensors and maintains proper temperature and humidity. However, existing system has a difficulty to apply most of the atmospheric environment information to various users depending on sensors only. The system proposed in this paper predicts the indoor environment by analyzing the indoor pollution information collected through the sensor using the deep learning. Then, the predicted indoor environment is modeled and learned in this system, and the environment suitable for the user is suggested. Afterwards, the system receives feedback from the user and repeats the process of re-learning the proposed environment so that it can create the optimal environment for the user.

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A computer Hardware Selection Strategy for Information Systems Development : A Case of T Coil Service Center (정보시스템 구축시 컴퓨터 하드웨어의 선정전략 - T 철강회사의 시스템 선정 사례 -)

  • Yu, Sang-Jin;Jang, Yeong-Taek
    • Asia pacific journal of information systems
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    • v.3 no.2
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    • pp.3-54
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    • 1993
  • Recently, executives learned of the strategic impact that information systems (IS) and information technology (IT) could provide to their organizations. In other words, through IS/IT companies could squelch competition, secure suppliers, obtain customer loyalty, reduce the threat of new entrants, and identify new opportunities. Because of these potential benefits, organizations are investing ever-increasing amount of organizational resources in IS/IT to make their organizations as information-based ones. Information-based organizations depend largely upon computer hardwares and softwares for their ongoing operations and management. Thus, organizations must manage their information resources, especially hardwares and softwares very effectively to remain competitive. Information resource management (IRI) is a program of activities directed at making effective use of information technology within an organization. These activities cover from corporate IS/IT planning to application system development, implementation, and maintenance. In more detail, IRV activities include planning for and acquiring computer hardwares and communication equipments, planning for, selection, and management of software development projects, and re-engineering business processes as IS/IT are integrated into organizational management. Among these activities, planning for and acquisition of computer hardwares, and planning for and management of software projects are the most critical ones since these activities require enormous amount of such important corporate resources as money, people, and time. Furthermore, corporate's eventual success largely depends upon whether corporate's policy on IS/IT is effective one or not. Numerous approaches and concepts to specific IRM activities have been proposed. However, many organizations have experienced various problems in the process of applying these approaches to their IRM activities mainly because existing methodologies and guidelines are too general to adapt to each firm's unigue situation. Also, these approaches are having its own strengths and weaknesses. Thus, people in charge of organization's IRM policy should come up with effective guidelines to maintain his position very long. In this study, we reviewed some existing approaches for planning, evaluation, and acquisition of computer hardware. Then, real experiences from Taechang Steel Co., Ltd. located in Taegu, which is one of the largest Coil Service Centers in Korea, are discussed. The major purposes of the study are : (1) to discuss the tradeoffs of existing approaches on hardware evaluation and acquisition, (2) to provide a real experience of a company to facilitate the application of theoretical concepts to the real environment.

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The Establishment of Service Cloud Based Expansion and Developing Plan for National Spatial Data Infrastructure (서비스 클라우드 기반 국가공간정보통합체계 확대발전방안 수립)

  • Youn, Junhee
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.1
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    • pp.367-373
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    • 2016
  • The construction of National Spatial Data Infrastructure (NSDI) started from 2008 and was completed at 2012, with the aim of co-utilizing public agencies' national spatial information by integrating and linking. Despite the existence of the NSDI, an update of spatial data is not fully reflected because the spatial information has not been updated simultaneously by NSDI and public agencies. By examining the public agencies' services using the spatial information, a national budget is wasted because the re-usable similar services are duplicated. These issues could be solved by adopting a cloud system, whose concept is co-utilizing IT resources, to the NSDI. This study examined the service cloud based expansion and development plan for NSDI. The plan included an implementation strategy for a spatial information service cloud system and an establishment plan for a governance system. The service scenarios, concept diagram, and service functions for the system were derived in a system implementation plan. For the service functions, the unit functions of two modules were proposed and specific functions were derived. In the establishment of a governance system, the business roles and business processes were defined for organizations managing service cloud based NSDI. The business role and process were defined and derived by each service life-cycle step. With the proposed system implementation plan, a detail system design and composition of the organization could be possible, and a service cloud-based NSDI system could be implemented.

Effect of Ultrasound Irradiation during Cementation Process for Recovery of Iridium (이리듐 회수를 위한 시멘테이션 공정 중 초음파 조사의 영향)

  • Kim, Seunghyun;Kim, Young-Jin;Seo, Jun-Hyung;Cho, Jin-Sang;Cho, Kye-Hong;Lee, Jaeryeong
    • Resources Recycling
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    • v.30 no.6
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    • pp.61-67
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    • 2021
  • This work investigated the cementation of iridium from iridium-containing hydrochloric acid leachate. Zinc powder was used as the reducing agent, and the effects of the stoichiometric ratio of Zn/Ir, initial Ir concentration, initial pH, reaction time, and ultrasound irradiation on iridium recovery were investigated. When only the stirrer was used for cementation, the iridium recovery increased with the addition amount of zinc, and the recovery of about 70% at 40 times the stoichiometric ratio of Zn/Ir. In contrast, when employing ultrasonic irradiation with stirring, the recovery of iridium decreased at 20 times or less the stoichiometric amount of zinc. The recovery of iridium increased at 40 times the stoichiometric ratio of Zn/Ir. This result may be due to the ionization of zinc and re-dissolution of iridium during the ultrasound irradiation treatment. When a combination of ultrasonic irradiation and stirring was used for cementation, the iridium recovery increased by more than 27% compared to that when using only the stirrer. It was possible to recover 99% of iridium under the following conditions: reaction time, 60 min; initial pH, 0.01; volume of leachate, 100 mL; 1770 ppm Ir, 40 times the stoichiometric ratio of Zn/Ir.

Development of Optimal Antiviral Coating Method for the Air Filtration System of Subway Station (지하역사 승강장 공조 시스템 필터용 항바이러스 코팅 성능 및 재생 성능 평가)

  • Park, Dae Hoon;Hwang, Jungho;Shin, Dongho;Kim, Younghun;Lee, Gunhee;Park, Inyong;Kim, Sang Bok;Hong, Keejung;Han, Bangwoo
    • Particle and aerosol research
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    • v.18 no.1
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    • pp.9-21
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    • 2022
  • In this study, a novel antiviral coating method for the air filtration system of subway station was investigated. Using dry aerosol coating process, we developed a high-performance antiviral air filter with spark discharger and carbon brush type ionizer. Silver nanoparticles were produced by a spark discharge generation system with ion injection system and were used as antiviral agents coated onto a medium grade air filter. The pressure drop, filtration efficiency, and antiviral ability of the filter against aerosolized MS2 virus particles as a surrogate of SARS-CoV-2 virus were tested with dust contamination. Dust contamination caused the increase of the filtration efficiency and pressure drop, while the antiviral agents (in this study, silver nanoparticles) coating did not have any significant effect on the filtration efficiency and pressure drop. Using these properties, we suggested a novel method to maximize the antiviral performance of the antiviral air filter that was contaminated by dust particles. Moreover theoretical analysis of antiviral ability with dust contamination and re-coated antiviral agents was carried out using a mathematical model to calculate the time-dependent antiviral effect of the filter under actual conditions of subway station. Our model can be used to apply on antiviral air filtration system of subway station for prevention of pandemic diffusion, and predict the life cycle of an antiviral filter.

Creation of Actual CCTV Surveillance Map Using Point Cloud Acquired by Mobile Mapping System (MMS 점군 데이터를 이용한 CCTV의 실질적 감시영역 추출)

  • Choi, Wonjun;Park, Soyeon;Choi, Yoonjo;Hong, Seunghwan;Kim, Namhoon;Sohn, Hong-Gyoo
    • Korean Journal of Remote Sensing
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    • v.37 no.5_3
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    • pp.1361-1371
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    • 2021
  • Among smart city services, the crime and disaster prevention sector accounted for the highest 24% in 2018. The most important platform for providing real-time situation information is CCTV (Closed-Circuit Television). Therefore, it is essential to create the actual CCTV surveillance coverage to maximize the usability of CCTV. However, the amount of CCTV installed in Korea exceeds one million units, including those operated by the local government, and manual identification of CCTV coverage is a time-consuming and inefficient process. This study proposed a method to efficiently construct CCTV's actual surveillance coverage and reduce the time required for the decision-maker to manage the situation. For this purpose, first, the exterior orientation parameters and focal lengths of the pre-installed CCTV cameras, which are difficult to access, were calculated using the point cloud data of the MMS (Mobile Mapping System), and the FOV (Field of View) was calculated accordingly. Second, using the FOV result calculated in the first step, CCTV's actual surveillance coverage area was constructed with 1 m, 2 m, 3 m, 5 m, and 10 m grid interval considering the occluded regions caused by the buildings. As a result of applying our approach to 5 CCTV images located in Uljin-gun, Gyeongsnagbuk-do the average re-projection error was about 9.31 pixels. The coordinate difference between calculated CCTV and location obtained from MMS was about 1.688 m on average. When the grid length was 3 m, the surveillance coverage calculated through our research matched the actual surveillance obtained from visual inspection with a minimum of 70.21% to a maximum of 93.82%.

A Study on the Sedimentation of Dredged Soils and Shape Changes of a Transparent Vinyl Tube by Filling Tests - Anti-Crater Formation - (준설토 주입방법에 의한 비닐튜브체의 퇴적 및 변형 특성 - 크레이터 방지 기술을 중심으로 -)

  • Kim, Hyeong-Joo;Sung, Hyun-Jong;Lee, Kwang-Hyung;Lee, Jang-Baek
    • Journal of the Korean Geosynthetics Society
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    • v.13 no.2
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    • pp.1-10
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    • 2014
  • In this study, two different types of dredged fill injection methods are introduced and filling experiments were conducted to analyze the impact of each technique to the distribution and deposition of dredged soil fill and how it influence the final tube shape. Two transparent plastic tubes were fabricated to observe the deposition behavior of the deposited fill material. Both tubes measured 4.0 meters in length (L) and has vinyl tube diameters (D) of 0.5m and 0.7m. T-type and I-type inlet system are also introduced in this paper. The influence of this inlet systems to the distribution and deposition behavior of dredged soil fill inside the vinyl tubes were observed during the experiment. After the sedimentation of the slurry mixture, the water on top of the soil sediments are removed and the slurry mixture was re-injected into the vinyl tube, this process was carried out repeatedly. The shape changes of the vinyl tube, e.g. the changes in both tube height and width, are constantly monitored after each slurry injection and water draining phases. Crater formation was observed in the case of I-Type inlet system and a non-uniform sediment distribution occurred. For the diffusion deposit of soil particles to long distance are minimal shape technique using the T-Type inlet system. Therefore the undrain filling height ratio ($H/D_0$) was found to be around 0.54 to 0.64 and the horizontal strain ratio ($W/D_0$) ranges from 1.45 to 1.54. The filling soil height is proportional to dredged-material filling phases, but, horizontal strain ratio is constant or inversely reduced so that the center of tube body is raised in the upward direction.

Improving Bidirectional LSTM-CRF model Of Sequence Tagging by using Ontology knowledge based feature (온톨로지 지식 기반 특성치를 활용한 Bidirectional LSTM-CRF 모델의 시퀀스 태깅 성능 향상에 관한 연구)

  • Jin, Seunghee;Jang, Heewon;Kim, Wooju
    • Journal of Intelligence and Information Systems
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    • v.24 no.1
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    • pp.253-266
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    • 2018
  • This paper proposes a methodology applying sequence tagging methodology to improve the performance of NER(Named Entity Recognition) used in QA system. In order to retrieve the correct answers stored in the database, it is necessary to switch the user's query into a language of the database such as SQL(Structured Query Language). Then, the computer can recognize the language of the user. This is the process of identifying the class or data name contained in the database. The method of retrieving the words contained in the query in the existing database and recognizing the object does not identify the homophone and the word phrases because it does not consider the context of the user's query. If there are multiple search results, all of them are returned as a result, so there can be many interpretations on the query and the time complexity for the calculation becomes large. To overcome these, this study aims to solve this problem by reflecting the contextual meaning of the query using Bidirectional LSTM-CRF. Also we tried to solve the disadvantages of the neural network model which can't identify the untrained words by using ontology knowledge based feature. Experiments were conducted on the ontology knowledge base of music domain and the performance was evaluated. In order to accurately evaluate the performance of the L-Bidirectional LSTM-CRF proposed in this study, we experimented with converting the words included in the learned query into untrained words in order to test whether the words were included in the database but correctly identified the untrained words. As a result, it was possible to recognize objects considering the context and can recognize the untrained words without re-training the L-Bidirectional LSTM-CRF mode, and it is confirmed that the performance of the object recognition as a whole is improved.

Analysis of Physicochemical Properties of Red Ginseng Powder Based on Particle Size (홍삼분말 입자크기에 따른 이화학적 특성 분석)

  • Choi, Hee Jeong;Lee, Sang Yoon;Lee, Jung Gyu;Park, Dong Hyeon;Bai, Jing Jing;Lee, Byung-Joo;Kim, Yoon-Sun;Cho, Youngjae;Choi, Mi-Jung
    • Food Engineering Progress
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    • v.21 no.3
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    • pp.225-232
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    • 2017
  • Most of the red ginseng (RG) products contain active substances derived from hot water or alcohol extraction. Since active substances of RG are divided into two types - water-soluble and liposoluble - water or alcohol is needed as an extraction solvent and this leads the different extraction yields and components of the active substances. To overcome the limit, whole red ginseng powder can be used and consumed by consumers. In this study, the physicochemical properties and extractable active substance contents of variable-sized RG powder ($158.00{\mu}m$, $8.45{\mu}m$, and $6.33{\mu}m$) were analyzed, and dispersion stability was measured to investigate the suitable size of RG powder for industrial processing. In the results, no significant difference was found from the changes in color intensity and thiobarbutric acid tests at $4^{\circ}C$, $25^{\circ}C$, and $40^{\circ}C$ for 4 weeks. There was no significant difference on the production of antioxidants and ginsenoside among the samples (p>0.05). In dispersion stability, $RG-158.00{\mu}m$ was precipitated immediately, and the dispersion stabilities between $RG-8.45{\mu}m$ and $RG-6.33{\mu}m$ showed no significant difference. It implies that fine RG is suitable for the production process. With further study, it seemed that the physicochemical effects of RG particle sizes can be clearly revealed.