• Title/Summary/Keyword: 대처모델

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Studies on Introducing Performance of RFID System (RFID 시스템 도입성과에 관한 통합적 연구)

  • Park, Kwang-Oh;Kim, Jin-Wan
    • The Journal of the Korea Contents Association
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    • v.11 no.7
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    • pp.354-365
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    • 2011
  • Modern corporations are faced with widespread, dynamic and accelerating changes. To better cope with the external and internal changes, corporations often utilize information technologies such as RFID(Radio Frequency IDentification). To date, RFID research has mainly focused on adoption strategies and intention on RFID, construction case. The purpose of this study is to examine qualitative and quantitative performance on RFID. To validate the research model proposed in the study, filed survey was conducted with 67 in company using RFID. Then, we compare their quantitative financial results after the introduction of RFID in order to measure the performance of the RFID. The results of the study can be summarized as follows. First, the relation among qualitative factors showed significant correlations. Second, the difference of financial metrics was existed after the adopting RFID. Third, significant difference was observed among financial ratio. Fourth, the correlation between qualitative and quantitative performance showed no significant relations.

Establishment Construction Enterprise Resource Planning(ERP) & Construction Information Sttategy (건설정보화 전략과 ERP구축)

  • Lee Min-Nam;Oh Dong-Hwan
    • Proceedings of the Korean Institute Of Construction Engineering and Management
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    • autumn
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    • pp.164-170
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    • 2003
  • This paper is to evaluate the informational direction, current situations and ERP establishment concerning constructing industry, to present the right directions, implemented cases for implementing constructional ERP, also to suggest the effect, influence, problems and shootings in constructional ERP arena. The constructing industries in korea are facing great turning point because of the huge corruptions currently happened and forcing to open the market in 1997. Attempting to establish Computer Integrated construction system (ERP) by breaking down constructing cost, improving quality, operating rapid and effective construction to enhance productivity, it is hard to achieve the goal with only inter-contractor's establishment. Constructing industries are integrated ones, consisted of many organizations for instance ordering agencies, contractors, subcontractors, material vendors, etc. and use various information formats such as texts, graphics, drawings. I dare suggest that implementation of constructional CALS including EDI/EC, GIS is tile only solution to control the information systematically generated in whole stages from planing, designing, constructing through maintenance, and to supply or switch the information.

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Bayesian Inference driven Behavior-Network Architecture for Intelligent Agent to Avoid Collision with Moving Obstacles (지능형 에이전트의 움직이는 장애물 충돌 회피를 위한 베이지안 추론 주도형 행동 네트워크 구조)

  • 민현정;조성배
    • Journal of KIISE:Software and Applications
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    • v.31 no.8
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    • pp.1073-1082
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    • 2004
  • This paper presents a technique for an agent to adaptively behave to unforeseen and dynamic circumstances. Since the traditional methods utilized the information about an environment to control intelligent agents, they were robust but could not behave adaptively in a complex and dynamic world. A behavior-based method is suitable for generating adaptive behaviors within environments, but it is necessary to devise a hybrid control architecture that incorporates the capabilities of inference, learning and planning for high-level abstract behaviors. This Paper proposes a 2-level control architecture for generating adaptive behaviors to perceive and avoid dynamic moving obstacles as well as static obstacles. The first level is behavior-network for generating reflexive and autonomous behaviors, and the second level is to infer dynamic situation of agents. Through simulation, it has been confirmed that the agent reaches a goal point while avoiding static and moving obstacles with the proposed method.

Design of VMS Fuzzy Feedback Controller for VMS Routing Information (대안경로 안내용 VMS 퍼지 피드백 제어기법)

  • Park, Eun-Mi;O, Hyeon-Seon;Yang, Tae-Gyu
    • Journal of Korean Society of Transportation
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    • v.29 no.6
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    • pp.129-136
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    • 2011
  • Variable Message Signs have been used for providing information on the current traffic conditions. However, it is considered more important to achieve optimal traffic allocation among the alternative routes by strategic VMS information provision. Fuzzy control is very effective and efficient to deal with such systems that are too complex and uncertain to build mathematical models. In this paper, a fuzzy feedback controller for VMS is proposed, whose goal is to achieve the travel time equilibrium between the two alternative routes. The performance of the suggested controller is implemented and examined using MATLAB/Simulink. More robust controller applicable to a real highway network is suggested for the further research.

Proposed Plan for the Development of Consequence Management within the ROK Armed Forces in Response to CBRNE Situations (CBRNE 상황 대처를 위한 한국군 CM 조직 발전방안 제시)

  • Kim, Ji In;Kim, Sung Il;Kim, Se Hyeob;Kim, Young Ho
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.40 no.3
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    • pp.331-336
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    • 2020
  • Consequence management (CM) remains a relatively unknown or underdeveloped concept in Republic of Korea. This study was conducted as a literature study, perceiving that good CM is critical when viewed under contemporary disaster types and comprehensive security. From the perspectives of integrated disaster control and comprehensive security, it would be necessary for South Korea to implement the concept of CM widely used in countries with advanced disaster control. In particular, this study verifies the need of the military to respond actively to Chemical, Biological, Radiation, Nuclear, and high yield Explosives (CBRNE) situations. A plan for the development of the CM organization of the ROK Armed Forces is proposed by using the CBRNE-CM response organization of the United States as a model.

Teacher Knowledge Necessary to Address Student Errors and Difficulties about Ratio and Rate (비와 비율에 관한 학생의 오류와 어려움 해결을 위해 필요한 교사지식)

  • Kang, Hyangim;Choi, Eun Ah
    • School Mathematics
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    • v.17 no.4
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    • pp.613-632
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    • 2015
  • In this study, we hope to reveal teacher knowledge necessary to address student errors and difficulties about ratio and rate. The instruments and interview were administered to 3 in-service primary teachers with various education background and teaching experiments. The results of this study are as follows. Specialized content knowledge(SCK) consists of profound knowledge about ratio and rate beyond multiplicative comparison of two quantities and professional knowledge about the definitions of textbook. Knowledge of content and students(KCS) is the ability to recognize students' understanding the concept and the representation about ratio and rate. Knowledge of content and teaching(KCT) is made up of knowledge about various context and visual models for understanding ratio and rate.

A Study on the Detection of Fallen Workers in Shipyard Using Deep Learning (딥러닝을 이용한 조선소에서 쓰러진 작업자의 검출에 관한 연구)

  • Park, Kyung-Min;Kim, Seon-Deok;Bae, Cherl-O
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.26 no.6
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    • pp.601-605
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    • 2020
  • In large ships with complex structures, it is difficult to locate workers. In particular, it is not easy to detect when a worker falls down, making it difficult to respond quickly. Thus, research is being conducted to detect fallen workers using a camera or by attaching a device to the body. Existing image-based fall detection systems have been designed to detect a person's body parts; hence, it is difficult to detect them in various ships and postures. In this study, the entire fall area was extracted and deep learning was used to detect the fallen shipworker based on the image. The data necessary for learning were obtained by recording falling states at the shipyard. The amount of learning data was augmented by flipping, resizing, and rotating the image. Performance evaluation was conducted with precision, reproducibility, accuracy, and a low error rate. The larger the amount of data, the better the precision. In the future, reinforcing various data is expected to improve the effectiveness of camera-based fall detection models, and thus improve safety.

A Coordination Agent Model based on Extracting Similar Information (유사 정보 추출에 기반한 조성 에이전트 모델)

  • 양소진;이현수;오경환
    • Korean Journal of Cognitive Science
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    • v.12 no.1_2
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    • pp.55-63
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    • 2001
  • Speaking generally, agent-based technology is a kind of technology to handle the flood of information resulted from the popularization of the internet. Agent system is a multi-distributed system which consists of both homogeneous and heterogeneous agents. Generally there is a coordination agent in between which is in charge of control and m message flow among the application agents. The purpose of this thesis is to propose a coordination method among agents, some of which provide informations and some of which request them. In multi-agent system, the Information Providing Agent(IPA) registers its capabilities to Coordination Agent(CA) and the Information Requesting Agent(lRA) requests CA what it needs. To coordinate them with satisfactory results the coordination agent ought to have an ability to return a relatively proper data to the requester which is supposed to be similar even though it is not so exact as was intended. For this, this thesis proposes a scheme for an coordination agent to find an IPA which provides an information which correlates most closely with that of IRA.

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Inductive Classification of Multi-Spectral Threat Data for Autonomous Situation Awareness (자율적인 상황인식을 위한 다중센서 위협데이타의 귀납적 분류)

  • Jeong, Yong-Woong;Noh, Sang-Uk;Go, Eun-Kyoung;Jeong, Un-Seob
    • Journal of KIISE:Software and Applications
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    • v.35 no.3
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    • pp.189-196
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    • 2008
  • To build autonomous agents who can make a decision on behalf of humans in time-critical complex environments, the formulation of operational knowledge base could be essential. This paper proposes the methodology of how to formulate the knowledge base and evaluates it in a practical application domain. We analyze threat data received from the multiple sensors of Aircraft Survivability Equipment(ASE) for Korean helicopters, and integrate the threat data into the inductive model through compilation technique which extracts features of the threat data and relations among them. The compiled protocols of state-action rules can be implemented as the brain of the ASE. They can reduce the amounts of reasoning, and endow the autonomous agents with reactivity and flexibility. We report experimental results that demonstrate the distinctive and predictive patterns of threats in simulated battlefield settings, and show the potential of compilation methods for the successful detection of threat systems.

Multi-Agent based Operation System Modeling for Automated Container Terminals (자동화 컨테이너 터미널을 위한 멀티에이전트 기반의 운영시스템 모델링)

  • Kang K W.;Yu S. Y.;Mo S. J.;Yim J. H.
    • Journal of Navigation and Port Research
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    • v.29 no.6 s.102
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    • pp.567-572
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    • 2005
  • Trade between nations has been globalized since establishing the WTO(World Trade Organization). By lowering trading barriers under the WTO's system, trade in goods has been gradually increased It requires global logistic system that transports goods in between nations. To save cost of product, cargo of product is containerized and container ships to carry container cargo is going to be bigger: In the market, there are many vendors to provide artificial intelligent modules to operate container terminal. In order to integrate automated container terminal system easily and successfully, this thesis proposes high-level XML/ JMS( eXtensive Markup Language/Java Message Service) communication model and multi-agent based system architecture to share knowledges, solve problems, and active objectives by cooperating between autonomous and intelligent agents that are developed by 3rd party companies in the market. This thesis analyzed current situation of advanced automated container terminal with case studies on implemented systems and difficulties to develop automated container terminal system, reviewed technologies of intelligent agent, communication and automation that unmaned automated container terminal is required.