• Title/Summary/Keyword: Four-network model

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A Spatial Decision Support System for Establishing Urban Ecological Network ; Based on the Landscape Ecology Theory (도시 생태네트워크 설정을 위한 공간의사결정지원체계에 관한 연구 ; 경관생태학 이론을 기반으로)

  • Oh, Kyu-Shik;Lee, Dong-Woo;Jung, Seung-Hyun;Park, Chang-Suk
    • Spatial Information Research
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    • v.17 no.3
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    • pp.251-259
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    • 2009
  • As a result of the current trend towards promoting conservation of the ecosystem, there have been various studies conducted to determine ways to establish an ecological network. The development of analytical methods and an environmental database of GIS has made the creation of this network more efficient. This study focuses on the development of an urban spatial decision support system based on 'Landscape Ecology Theory'. The spatial decision support system suggested in this study consists of four stages. First, landscape patch for the core areas, which are major structures of the ecological network, was determined using the GIS overlay method. Second, a forest habitat was investigated to determine connectivity assessment. Using the gravity model, connectivity assessment at the habitat forest was conducted to select the needed connecting area. Third, the most suitable corridor routes for the eco-network were presented using the least-cost path analysis. Finally, a brief investigation was conducted to determine the conflict areas between the study result and landuse. The results of this study can be applied to urban green network planning. Moreover, the method developed in this study can be utilized to control urban sprawl, promote biodiversity.

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An active object-oriented directory database model for management of telecommunication (통신망 관리를 위한 능동 객체 지향 디렉토리 데이타베이스 모델)

  • 이재호;임해철
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.21 no.2
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    • pp.435-446
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    • 1996
  • In this paper, we present database model of directory systems that perform a task for distributed information repositories in communication network environments. A new model is developed through four phase: (1) A diretory database information is classified that would be stored in directory database as user, administrative, and supplementary information. (2) The modeling criteria are captured that would be used to model information classified. (3) Object-Oriented concepts are used in modeling classified information according to modeling criteria captured. (4) Methods applied to developed model are grouped, and active-based mechanisms such as trigger and constraints are developed. These selected methods and attributes are encapsulated into objects. Consequently they compose an Active Object-Oriented Directory Database Model.

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Short-term Flood Forecasting Using Artificial Neural Networks (인공신경망 이론을 이용한 단기 홍수량 예측)

  • 강문성;박승우
    • Magazine of the Korean Society of Agricultural Engineers
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    • v.45 no.2
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    • pp.45-57
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    • 2003
  • An artificial neural network model was developed to analyze and forecast Short-term river runoff from the Naju watershed, in Korea. Error back propagation neural networks (EBPN) of hourly rainfall and runoff data were found to have a high performance In forecasting runoff. The number of hidden nodes were optimized using total error and Bayesian information criterion. Model forecasts are very accurate (i.e., relative error is less than 3% and $R^2$is greater than 0.99) for calibration and verification data sets. Increasing the time horizon for application data sets, thus mating the model suitable for flood forecasting. decreases the accuracy of the model. The resulting optimal EBPN models for forecasting hourly runoff consists of ten rainfall and four runoff data(ANN0410 model) and ten rainfall and ten runoff data(ANN1010 model). Performances of the ANN0410 and ANN1010 models remain satisfactory up to 6 hours (i.e., $R^2$is greater than 0.92).

Understanding the Relationship between Value Co-Creation Mechanism and Firm's Performance based on the Service-Dominant Logic (서비스지배논리하에서 가치공동창출 매커니즘과 기업성과간의 관계에 대한 연구)

  • Nam, Ki-Chan;Kim, Yong-Jin;Yim, Myung-Seong;Lee, Nam-Hee;Jo, Ah-Rha
    • Asia pacific journal of information systems
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    • v.19 no.4
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    • pp.177-200
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    • 2009
  • AIn the advanced - economy, the services industry hasbecome a dominant sector. Evidently, the services sector has grown at a much faster rate than any other. For instance, in such developed countries as the U.S., the proportion of the services sector in its GDP is greater than 75%. Even in the developing countries including India and China, the magnitude of the services sector in their GDPs is rapidly growing. The increasing dependence on service gives rise to new initiatives including service science and service-dominant logic. These new initiatives propose a new theoretical prism to promote the better understanding of the changing economic structure. From the new perspectives, service is no longer regarded as a transaction or exchange, but rather co-creation of value through the interaction among service users, providers, and other stakeholders including partners, external environments, and customer communities. The purpose of this study is the following. First, we review previous literature on service, service innovation, and service systems and integrate the studies based on service dominant logic. Second, we categorize the ten propositions of service dominant logic into conceptual propositions and the ones that are directly related to service provision. Conceptual propositions are left out to form the research model. With the selected propositions, we define the research constructs for this study. Third, we develop measurement items for the new service concepts including service provider network, customer network, value co-creation, and convergence of service with product. We then propose a research model to explain the relationship among the factors that affect the value creation mechanism. Finally, we empirically investigate the effects of the factors on firm performance. Through the process of this research study, we want to show the value creation mechanism of service systems in which various participants in service provision interact with related parties in a joint effort to create values. To test the proposed hypotheses, we developed measurement items and distributed survey questionnaires to domestic companies. 500 survey questionnaires were distributed and 180 were returned among which 171 were usable. The results of the empirical test can be summarized as the following. First, service providers' network which is to help offer required services to customers is found to affect customer network, while it does not have a significant effect on value co-creation and product-service convergence. Second, customer network, on the other hand, appears to influence both value co-creation and product-service convergence. Third, value co-creation accomplished through the collaboration of service providers and customers is found to have a significant effect on both product-service convergence and firm performance. Finally, product-service convergence appears to affect firm performance. To interpret the results from the value creation mechanism perspective, service provider network well established to support customer network is found to have significant effect on customer network which in turn facilitates value co-creation in service provision and product-service convergence to lead to greater firm performance. The results have some enlightening implications for practitioners. If companies want to transform themselves into service-centered business enterprises, they have to consider the four factors suggested in this study: service provider network, customer network, value co-creation, and product-service convergence. That is, companies becoming a service-oriented organization need to understand what the four factors are and how the factors interact with one another in their business context. They then may want to devise a better tool to analyze the value creation mechanism and apply the four factors to their own environment. This research study contributes to the literature in following ways. First, this study is one of the very first empirical studies on the service dominant logic as it has categorized the fundamental propositions into conceptual and empirically testable ones and tested the proposed hypotheses against the data collected through the survey method. Most of the propositions are found to work as Vargo and Lusch have suggested. Second, by providing a testable set of relationships among the research variables, this study may provide policy makers and decision makers with some theoretical grounds for their decision making on what to do with service innovation and management. Finally, this study incorporates the concepts of value co-creation through the interaction between customers and service providers into the proposed research model and empirically tests the validity of the concepts. The results of this study will help establish a value creation mechanism in the service-based economy, which can be used to develop and implement new service provision.

A Study on the Prediction for Rolling Force Using Radial Basis Function Network in Hot Rolling Mill (방사형기저함수망을 이용한 열간 사상압연의 압연하중 예측에 관한 연구)

  • Son Joon-Sik;Lee Duk-Man;Kim Ill-Soo;Choi Seung-Gap
    • Transactions of the Korean Society of Machine Tool Engineers
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    • v.13 no.6
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    • pp.29-33
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    • 2004
  • A major concern at present is the simultaneous control of transverse thickness profile and flatness in the finishing stages of hot rolling process. The mathematical modeling of hot rolling process has long been recognized to be a desirable approach to investigate rolling operating practice and the design of mill equipment to improve productivity and quality. However, many factors make the mathematical analysis of the rolling process very complex and time-consuming. In order to overcome these problems and to obtain an accurate rolling force, the predicted model of rolling force using neural networks has widely been employed. In this paper, Radial Basis Function Network(RBFN) is applied to improve the accuracy of rolling force prediction in hot rolling mill. In order to verify and analyze the performance of applied neural network the comparison with the measured rolling force and the predicted results using two different neural networks-RBFN, MLP, has respectively been carried out. The results obtained using RBFN neural network are much more accurate those obtained the MLP.

Pixel-level prediction of velocity vectors on hull surface based on convolutional neural network (합성곱 신경망 기반 선체 표면 유동 속도의 픽셀 수준 예측)

  • Jeongbeom Seo;Dayeon Kim;Inwon Lee
    • Journal of the Korean Society of Visualization
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    • v.21 no.1
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    • pp.18-25
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    • 2023
  • In these days, high dimensional data prediction technology based on neural network shows compelling results in many different kind of field including engineering. Especially, a lot of variants of convolution neural network are widely utilized to develop pixel level prediction model for high dimensional data such as picture, or physical field value from the sensors. In this study, velocity vector field of ideal flow on ship surface is estimated on pixel level by Unet. First, potential flow analysis was conducted for the set of hull form data which are generated by hull form transformation method. Thereafter, four different neural network with a U-shape structure were conFig.d to train velocity vectors at the node position of pre-processed hull form data. As a result, for the test hull forms, it was confirmed that the network with short skip-connection gives the most accurate prediction results of streamlines and velocity magnitude. And the results also have a good agreement with potential flow analysis results. However, in some cases which don't have nothing in common with training data in terms of speed or shape, the network has relatively high error at the region of large curvature.

An Analysis of Effects of TMN Functions on Performance of ATM Switches Using Jackson's Network

  • Hyu, Dong-Hyun;Chung, Sang-Wook;Lee, Gil-Haeng
    • Annual Conference of KIPS
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    • 2001.10b
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    • pp.1533-1536
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    • 2001
  • This paper considers the TMN system for management of public ATM switching network which has the four-level hierarchical structure consisting of one network management system, a few element management system and several agent-ATM switch pairs, respectively. The effects of one TMN command on the local call processing performance of the component ATM switch an analyzed using Jackson's queueing model. The TMN command considered is the permanent virtual call connection, and the performance measures of ATM switch are the utilization, mean queue length and mean waiting time for the processor interfacing the subscriber lines and trunks directly, and the call setup delay of the ATM switch.

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Short-term load forecasting using Kohonen neural network and wavelet transform (코호넨 신경회로망과 웨이브릿 변환을 이용한 단기부하예측)

  • Kim, Chang-Il;Kim, Bong-Tae;Kim, Woo-Hyun;Yu, In-Keun
    • Proceedings of the KIEE Conference
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    • 1999.11b
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    • pp.239-241
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    • 1999
  • This paper proposes a novel wavelet transform and Kohonen neural network based technique for short-time load forecasting of power systems. Firstly. Kohonen Self-organizing map(KSOM) is applied to classify the loads and then the Daubechies D2, D4 and D10 wavelet transforms are adopted in order to forecast the short-term loads. The wavelet coefficients associated with certain frequency and time localisation are adjusted using the conventional multiple regression method and then reconstructed in order to forecast the final loads through a four-scale synthesis technique. The outcome of the study clearly indicates that the proposed composite model of Kohonen neural network and wavelet transform approach can be used as an attractive and effective means for short-term load forecasting.

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Implementation of Symmetrec Three Layered Network for Large Capacity Optical Associative Memory (대용향 광 연상기억을 위한 대칭 삼층구조의 구현)

  • 서호형;이상수
    • Korean Journal of Optics and Photonics
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    • v.3 no.3
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    • pp.191-197
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    • 1992
  • We have developed a new optical associative memory system hased on the symmetric three layered neural network model, uhing two holograms and a LCIV. In the experiment, four Korean alphabet letters (ㄹ, ㅅ, ㅇ, ㅈ) are used as memory patterns. The results are compared with those of the two layered network and the IIopfield models. The results show that more than 95% recognition ablity is obtained for thc input which has the error rate less than 12%.

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Enhancing Program Risk Management: A Social Network Approach

  • Wenxin SHEN;Xiaofan ZHAI;Jingjie XIONG
    • International conference on construction engineering and project management
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    • 2024.07a
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    • pp.932-939
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    • 2024
  • Program management presents unique challenges due to the complexity of interrelated projects and increased stakeholder engagement. While existing literature mainly focuses on project-level risk management, inter-project risks remain underexplored. This research addresses this gap by proposing a program risk analysis method that integrates project interdependence and stakeholder engagement. Leveraging social network analysis, the model enhances program risk management efficiency by identifying four types of inter-project risks and suggesting tailored response strategies. Through a case study of the Expo 2020 construction program, the effectiveness of the framework is demonstrated. This study enriches program and risk management literature, deepening our understanding of enhanced risk management in multi-project contexts.