• Title/Summary/Keyword: Concept Network

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A Novel Three-Port Converter for the On-Board Charger of Electric Vehicles (새로운 전기 자동차 온보드 충전기용 3-포트 컨버터)

  • Amin, Saghir;Choi, Woojin
    • Proceedings of the KIPE Conference
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    • 2017.11a
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    • pp.111-112
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    • 2017
  • This paper presents a novel three-port converter for the OnBoard Charger of Electric Vehicles by using an impedance control network. The proposed concept is suitable for charging a main battery and an auxiliary battery of an electric vehicle at the same time due to its power handling capability of the converter without additional switches. The power flow is managed by the phase angle (${\Theta}$) between the ports whereas voltage at each port is controlled by the asymmetric duty cycle and the phase shift (${\Phi}$) between the inverter lags controlled by the impedance control network. The proposed system has a capability of achieving zero voltage switching (ZVS) and zero current switching (ZCS) at all the switches over the wide range of input voltage, output voltage and output power. The feasibility of the proposed system is verified by the PSIM simulation.

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Neural Network Forecasting Using Data Mining Classifiers Based on Structural Change: Application to Stock Price Index

  • Oh, Kyong-Joo;Han, Ingoo
    • Communications for Statistical Applications and Methods
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    • v.8 no.2
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    • pp.543-556
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    • 2001
  • This study suggests integrated neural network modes for he stock price index forecasting using change-point detection. The basic concept of this proposed model is to obtain significant intervals occurred by change points, identify them as change-point groups, and reflect them in stock price index forecasting. The model is composed of three phases. The first phase is to detect successive structural changes in stock price index dataset. The second phase is to forecast change-point group with various data mining classifiers. The final phase is to forecast the stock price index with backpropagation neural networks. The proposed model is applied to the stock price index forecasting. This study then examines the predictability of integrated neural network models and compares the performance of data mining classifiers.

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Continuous Surveillance and Diagnostics System Using Neural Network (인공 신경 회로망을 이용한 핵물질 거동 감시 시스템 개발)

  • 최재형;한명철;박영수;김호동;홍종숙
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1995.10a
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    • pp.1182-1185
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    • 1995
  • This paper presents a novel technology for unattented continuous monitoring of radioactive material in hot cell environments. In this monitoring system, the surveillance camera data and NDA data are time synchronized and integrated into the same dimension through data processing. The integrated information is then fed into a neural network to generate diagnostics through data processing. the integrated information of the concept is tested for a spent nuclear fuel transprotation in an operational hot cell at KAERI. The presented integral part of the multi-sensory system and the analytical paradigm may provide an effective technologyical alternative for safeguarding new conceptual hot cell facilities, namely the Dupic facility.

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Network Lunar Science for International Lunar Network (ILN)

  • Choi, Young-Jun;Moon, Hong-Kyu;Yim, Hong-Suh;Lee, Duk-Hang;Park, Jang-Hyun;Han, Won-Yong
    • Bulletin of the Korean Space Science Society
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    • 2008.10a
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    • pp.37.4-38
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    • 2008
  • Recently, statement of Intent for ILN has been signed by 9 countries including Korea, initiated March of this year by NASA which invited countries having lunar exploration plans. Concept of ILN is placing several core set of instrumentation on the Moon, in order to maximize scientific return to all of the participants. Network measurements from various nodes on lunar surface is essential for understanding internal structure of the Moon and environment around the Moon. Currently, Core Instrument Working Group is discussing the scientific interests and instrumentation among participated countries. Korea also is looking over various ways to participate ILN. We will introduce the progress and possible lunar science of ILN and will discuss the science mission objectives.

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A Concept Study on Efficiently Improving Performance for Korean MBT (한국형 전차의 효율적인 성능개량 개념)

  • Kim, Seok;Son, Seung-Hyun
    • Journal of the Korea Institute of Military Science and Technology
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    • v.11 no.6
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    • pp.14-20
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    • 2008
  • A battle management system should be introduced to improve mission success capabilities and accommodate integrated combat capabilities through increasing SA(Situation Awareness), or spatiotemporal synchronization of military operation in battle field environment. Conventional Korean Main Battle Tanks(Korean MBTs), which have been operated without digital network, were developed for 1980s. Korean new MBTs, which are mounted the battle management system, will be fielded soon. Therefore, old Korean MBT is needed to improve performances for co-operation with new one. This paper is reviewed each improved MBTs of world countries and domestic maintenance facilities. And this study suggests some processing methods which might be applicable to improve information network performance of old Korean MBTs.

Spatiotemporal Applications for Managing New&Renewable Energy Resources (신재생에너지 자원 관리를 위한 시공간 응용 기술)

  • Lee, Yang-Koo;Ryu, Keun-Ho;Kim, Kwang-Deuk
    • 한국태양에너지학회:학술대회논문집
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    • 2008.11a
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    • pp.327-331
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    • 2008
  • In this paper, we argue that new&renewable energy resources are difficult to be managed with GIS technology due to their spatiotemporal features, and suggest that spatiotemporal database and sensor network can be applied to the new&renewable energy management system as advanced technology. To give the motivated issues, we introduce and analyze the concept of the spatiotemporal database and sensor network, and the case studies in each applications.

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Neuro-Fuzzy control of converging vehicles for automated transportation systems (뉴로퍼지를 이용한 자율운송시스템의 차량합류제어)

  • Ryu, Se-Hui;Park, Jang-Hyeon
    • Journal of Institute of Control, Robotics and Systems
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    • v.5 no.8
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    • pp.907-913
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    • 1999
  • For an automated transportation system like PRT(Personal Rapid Transit) system or IVHS, an efficient vehicle-merging algorithm is required for smooth operation of the network. For management of merging, collision avoidance between vehicles, ride comfort, and the effect on traffic should be considered. This paper proposes an unmanned vehicle-merging algorithm that consists of two procedures. First, a longitudinal control algorithm is designed to keep a safe headway between vehicles in a single lane. Secondly, 'vacant slot and ghost vehicle' concept is introduced and a decision algorithm is designed to determine the sequence of vehicles entering a converging section considering energy consumption, ride comfort, and total traffic flow. The sequencing algorithm is based on fuzzy rules and the membership functions are determined first by an intuitive method and then trained by a learning method using a neural network. The vehicle-merging algorithm is shown to be effective through simulations based on a PRT model.

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A Semantic Network Approach to PPO (Products, Processes, Organizations/Resources) Modeling for PDM Systems

  • Hyo-Won Suh;Heejung Lee;Seungchul Ha
    • Korean Journal of Computational Design and Engineering
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    • v.4 no.3
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    • pp.238-246
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    • 1999
  • The modeling method to support product development processes (PDP) must have certain characteristics including the ability to represent multiple viewpoints of the product development and integrate with currently available analysis and design methods based on CE concept. This paper describes the reference model to support multiple viewpoints (PPO: Products, Processes, and Organizations/Resources viewpoints) of the product development processes, from which each model (Products model, Processes model, and Organizations/Resources model) can be extracted, as well as produces PPO data schema. This reference model has associative relationships among the products, processes, and organizations/resources. To allow the extensibility to support design evolution, we propose structured dat representation methods using semantic network, which can be constructed through first-order logic. The product development processes is so represented by specifying entities and semantic relationships among them hat he appropriate information can be accessed and all of the relevant attributes about the entities can be retrieved simultaneously.

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Adaptive Neural Network Control of a Flexible Joint Manipulator (유연관절로봇의 적응신경망제어)

  • 구치욱;이시복;김정석
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1997.04a
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    • pp.101-106
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    • 1997
  • This paper proposes a stable adaptive neural network control(NNC) for fixable joint manipulators. For designing the stable adaptive NNC, the flexible system dynamics is separated into fast and slow subdynamics according to singular perturbation concept. For the slow subdynamics, an adaptive NNC is designed to warrant the system stability and NN learning by lyapunov stability criterion. And to stabilize the fast dynamics, derivative control loop is installed. Through numerical simulation, the performance of the proposed NNC was compared to that of an adaptive controller designed based on the knowledge of the system dynamics. The proposed NNC shows much improvement over the conventional adaptive controller.

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A Study on the Low Impact Development Infiltration Treebox for Environment Friendiy pedestrian (친환경적 보행도로 조성을 위한 저영향개발 침투화분에 관한 기초연구)

  • Yeom, Sung-Jin
    • Journal of Environmental Science International
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    • v.24 no.9
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    • pp.1211-1220
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    • 2015
  • Soil is the most important factor in natural environment for bio-diversity. Urbanization and development of city devastate urban soil by the fraternization of green network and run off pollution. In these facts, preservation of soil is the main issue in maintain of quality urban environment. In order to handle this issue, the gold network that link fragment soil patches is considered in maintain quality soil. This study researched the infiltration Treebox design technique based on the Low Impact Development. This technique suggest reduction of impervious area of the soil due to urbanization. The main concept of this study is encourage more permeable surfaces in urban area by using a infiltration planter. The function of the planter is hold run off as much as possible from intensive rainfall, and utilizes it in drought season. Also, this planter provides fertile soil for organism habitat by keeping appropriate moisture supplying.