• Title/Summary/Keyword: Feasibility Information System

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A DEVELOPMENT OF INTELLIGENT CONSTRUCTION LIFT-CAR TOOLKIT DEVICE FOR CONSTRUCTION VERTICAL LOGISTICS MANAGEMENT

  • Chang-Yeon Cho;Soon-Wook Kwon;Tae-Hong Shin;Sang-Yoon Chin;Yea-Sang Kim;Joo-Hyung Lee
    • International conference on construction engineering and project management
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    • 2009.05a
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    • pp.242-249
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    • 2009
  • High-rise construction sites, especially those situated in spatially constrained urban areas, have difficulties in timely delivery of materials. Modern techniques such as Just-in-time delivery, and use of information technology such as Project Management Information System (PMIS), are targeted to improve the efficiency of the logistics. Such IT-driven management techniques can be further benefited from state-of-the-art devices such as Radio Frequency Identification (RFID) tags and Ubiquitous Sensor Networks (USN), which has resulted in notable achievements in automated logistics management at the construction sites. Based on those achievements, this research develops USN hardware toolkits for construction lifts, which aims to be automated the vertical material delivery by sensing the material information and routing it automatically to the right place. The gathered information from the sensors can also be used for monitoring the overall status. The developed system will be tested in the actual high-rise construction sites to assess the system's feasibility. The proposed system is being implemented using Zigbee communication modules and RFID sensor networks which will communicate with the intelligent palette system (previously developed by the authors). To support the system, a lift-mountable intelligent toolkit is under development. Its feasibility test will be conducted by applying the implemented system to a test bed and then analyzing efficiency of the system and the toolkit. The collected test data will be provided as a basis of autonomous vertical transport equipment development. From this research, efficient management of the material lift is expected with increased accuracy, as well as better management of overall construction schedule benefited from the system. Further research will be expected to develop a smart construction lift, which will eliminate the need for human supervision, thus enabling a real 'autonomous' operation of the system.

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The Broad System of Ordering as a switching language (스위칭언어로서의 BSO(Broad System of Ordering))

  • 이경호
    • Journal of Korean Library and Information Science Society
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    • v.14
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    • pp.149-179
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    • 1987
  • The concept of a "switching language " between different indexing languages and information retrieval systems has been discussed since the mid-1960s. Some preliminary investigates into the feasibility of switching between mediating tool yielded positive results. The Broad system of ordering(BSO) , a general classification scheme for information exchange and switching, has been under development as a joint FID/UNESCO project since 1973. The purpose of this study is to find out the origin, development, definition, and principle of BSO. The results of the study can be summarized as follows: (1) BSO is a switching language for the purpose of interconnection of information system which is located different regions, or using different indexing languages. (2) BSO is in effect, fully faceted and broad classification system. (3) BSO is not only a subject code but also an ordering system. (4) BSO can be used information retrieval system because the notation of composite subjects is formed by combining notation. (5) BSO has to some extent sacrificed brevity by leaving large unused notational gap for future use. (6) The structure of the scheme is in no way dependent upon the notation. notation.

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Smart monitoring system with multi-criteria decision using a feature based computer vision technique

  • Lin, Chih-Wei;Hsu, Wen-Ko;Chiou, Dung-Jiang;Chen, Cheng-Wu;Chiang, Wei-Ling
    • Smart Structures and Systems
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    • v.15 no.6
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    • pp.1583-1600
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    • 2015
  • When natural disasters occur, including earthquakes, tsunamis, and debris flows, they are often accompanied by various types of damages such as the collapse of buildings, broken bridges and roads, and the destruction of natural scenery. Natural disaster detection and warning is an important issue which could help to reduce the incidence of serious damage to life and property as well as provide information for search and rescue afterwards. In this study, we propose a novel computer vision technique for debris flow detection which is feature-based that can be used to construct a debris flow event warning system. The landscape is composed of various elements, including trees, rocks, and buildings which are characterized by their features, shapes, positions, and colors. Unlike the traditional methods, our analysis relies on changes in the natural scenery which influence changes to the features. The "background module" and "monitoring module" procedures are designed and used to detect debris flows and construct an event warning system. The multi-criteria decision-making method used to construct an event warring system includes gradient information and the percentage of variation of the features. To prove the feasibility of the proposed method for detecting debris flows, some real cases of debris flows are analyzed. The natural environment is simulated and an event warning system is constructed to warn of debris flows. Debris flows are successfully detected using these two procedures, by analyzing the variation in the detected features and the matched feature. The feasibility of the event warning system is proven using the simulation method. Therefore, the feature based method is found to be useful for detecting debris flows and the event warning system is triggered when debris flows occur.

A Pre-Feasibility Test of Introducing Renewable Energy Hybrid Systems -Case Studies for 3 Off-Grid Islands- (도서지역 신·재생복합 전력시스템 보급 타당성 분석 -3개 도서지역 분석결과-)

  • Jang, HaNa;Kim, Suduk
    • Environmental and Resource Economics Review
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    • v.15 no.4
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    • pp.693-712
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    • 2006
  • A pre-feasibility test is done for renewable energy hybrid power systems at off~grid islands in which the current power supply is provided only by diesel generation. We apply Homer (Hybrid Optimization Model for Electric Renewables) which was developed by the National Renewable Energy Laboratory (NREL) for the analysis to identify the cost-minimizing combination of power generating facilities for the given load profiles. Chuja-Do, Geomun-Do and Youngsan-Do have been selected for our analysis considering the wind resources data of the Korea Institute of Energy Research (KIER). Information on wind speed, solar radiation and temperature is also used for the analysis. System component cost information from overseas market has been used due to the lack of domestic information. Site specific Load profile for electricity demand for those islands are reconstructed based on the partial survey results obtained form other sources. The LCOE of the least cost hybrid power systems for Chuja-Do, Geomun-Do and Youngsan-Do are $0.278/kWh, $0.234/kWh and $0.353/kWh, respectively Considering the fact that diesel generation is being subsidized at the price of $0.300/kWh by the government, first 2 cases are economically feasible for the introduction of renewable energy hybrid systems to those islands. But the third case of Youngsan-Do does not meet the criteria. The basic differences of these pre-feasibility test results are from the differences of the site specific renewable energy conditions, especially wind resources. In summary, promoting hybrid systems in the off-grid remote island should be based on the economic feasibility test results. Not all the off-grid islands are feasible for introducing this renewable energy hybrid system.

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Design and Implementation of XCP Network System

  • Heo, Jong-Man;Kang, Hyoung-Koo;Kim, Woo-Young;Kwon, Wook-Hyun
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.1581-1585
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    • 2005
  • This paper describes the design and implementation of a XCP (Xeline Control Protocol) network system. XCP is an information oriented protocol which delivers information with high reliability according to the predefined rule. The XCP network system is implemented with partly hardware and partly software based on the power line communication(PLC) environment. A network management tool which interacts with devices is also developed. In order to verify the feasibility of the proposed architecture, the implemented XCP network system is evaluated using a lighting control system.

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Feasibility Confirmation of Angular Velocity Stall Control for Small-Scaled Wind Turbine System by Phase Plane Method

  • Asharif, Faramarz;Shiro, Tamaki;Teppei, Hirata;Nagado, Tsutomu;Nagata, Tomokazu
    • IEIE Transactions on Smart Processing and Computing
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    • v.2 no.4
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    • pp.240-247
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    • 2013
  • The main aim of this study was to suppress the angular velocity against strong winds during storms and analyze the stability and performance of the phase plane method. The utilization of small-scale wind turbine system has become common in agriculture, houses, etc. Therefore, it is considered to be a scheme for preserving the natural energy or avoiding the use of fossil fuels. Moreover, settling small-scaled wind turbines is simpler and more acceptable compared to ordinary huge wind turbines. In addition, after converting the energy there is no requirement for distribution. Therefore, a much lower cost can be expected for small-scaled wind turbines. On the other hand, this system cannot be operated continuously because the small-scaled wind turbine consists of a small blade that has low inertia momentum. Therefore, it may exceed the boundary of angular velocity, which may cause a fault in the system due to the centrifugal force. The aim of this study was to reduce the angular velocity by controlling the stall factor. Stall factor control consists of two control methods. One is a shock absorber that is loaded in the junction of the axis of the blade of the wind turbine gear wheel and the other is pitch angle control. Basically, the stall factor itself exhibits nonlinear behavior. Therefore, this paper confirmed the feasibility of stall factor control in producing desirable performance whilst maintaining stability.

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Internet Mobile Information Retrieval System and its Traffic Analysis

  • Tomoyuki-Gotoh;Yasufumi-Ohsone;Tsuyoshi-Saitoh;Murakami, Shin-ichi;Masaharu-Fujinaka;Syugo-Inoue
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 1996.06b
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    • pp.107-114
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    • 1996
  • This paper describes an information retrieval system which offers real time information about mobile vehicles through the Internet. In order to evaluate the efficiency of solar batteries and feasibility of electric vehicles, four crews of Tokyo Denki University made a round trip through the North American Continent by their handmade solar electric vehicles last summer. In accordance with this project, an information retrieval system which offers the daily drive information through the Internet to the public was constructed. The system configuration and operating results of this system are reported.

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Design and implementation of wireless home network system using Home Network Control Protocol

  • Yoon, Dae-Kil;Lee, Kam-Rok;Myoung, Kwan-Joo;Kwon, Wook-Hyun
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.1558-1562
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    • 2005
  • This paper describes the design and implementation of a wireless home network system using Home Network Control Protocol (HNCP) called the wireless HNCP home network system. For wireless interfaces of HNCP, IEEE 802.11b and IEEE 802.15.4 standard protocols are considered. With the implementation of the wireless HNCP home network system, a simple analysis about coexistence between IEEE 802.11b and IEEE 802.15.4 is achieved. Through the implemented wireless HNCP home network system and the analytical results about the coexistence between both two different wireless protocols, the feasibility of the wireless HNCP home network system is shown.

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Intelligent Approach for Android Malware Detection

  • Abdulla, Shubair;Altaher, Altyeb
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.9 no.8
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    • pp.2964-2983
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    • 2015
  • As the Android operating system has become a key target for malware authors, Android protection has become a thriving research area. Beside the proved importance of system permissions for malware analysis, there is a lot of overlapping in permissions between malware apps and goodware apps. The exploitation of them effectively in malware detection is still an open issue. In this paper, to investigate the feasibility of neuro-fuzzy techniques to Android protection based on system permissions, we introduce a self-adaptive neuro-fuzzy inference system to classify the Android apps into malware and goodware. According to the framework introduced, the most significant permissions that characterize optimally malware apps are identified using Information Gain Ratio method and encapsulated into patterns of features. The patterns of features data is used to train and test the system using stratified cross-validation methodologies. The experiments conducted conclude that the proposed classifier can be effective in Android protection. The results also underline that the neuro-fuzzy techniques are feasible to employ in the field.