• Title/Summary/Keyword: Convergence Network

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Analytic Model of Energy of Router in Wireless Sensor Networks

  • Lee, Dong-Chun
    • Convergence Security Journal
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    • v.7 no.4
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    • pp.43-50
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    • 2007
  • Electric quantity of sensor nodes is extremely limited, and the battery replacement is very difficult in wireless sensor networks. This paper proposes analytic model on energy loss in different route structure, which it is based upon the data-centric storage and the directed diffusion is energy consumption in the wireless sensor network.

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Two-Degree-of-Freedom PID controller with Neural network for position control (위치제어를 위한 신경망 2 자유도 PID 제어기)

  • 이정민;하홍곤
    • Proceedings of the Korea Institute of Convergence Signal Processing
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    • 2000.12a
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    • pp.193-196
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    • 2000
  • ln this paper, we consider to apply of 2-DOF (Degree of Freedom) PID controller at D.C servo motor system. Many control system use I-PD, PIB control system. but the position control system have difficulty in controling variable load and changing parameter We propose neural network 2-DOF PID control system having feature for removal disturbrances and tracking function in the target value point.

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CONVERGENCE OF A GENERALIZED BELIEF PROPAGATION ALGORITHM FOR BIOLOGICAL NETWORKS

  • CHOO, SANG-MOK;KIM, YOUNG-HEE
    • Journal of applied mathematics & informatics
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    • v.40 no.3_4
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    • pp.515-530
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    • 2022
  • A factor graph and belief propagation can be used for finding stochastic values of link weights in biological networks. However it is not easy to follow the process of use and so we presented the process with a toy network of three nodes in our prior work. We extend this work more generally and present numerical example for a network of 100 nodes.

Sales Prediction of Electronic Appliances using a Convergence Model based on Artificial Neural Network and Genetic Algorithm (인공신경망과 유전자 알고리즘 기반의 융합모델을 이용한 가전제품의 판매예측)

  • Seo, Kwang-Kyu
    • Journal of Digital Convergence
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    • v.13 no.9
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    • pp.177-182
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    • 2015
  • The brand and product awareness of Korean electronics companies in the North American market has grown significantly and North American consumers has been recognized as an innovative technology products good performance of Korean electronics appliances. The consumer need of energy saving has led to a rise in market share because Korean electronics appliances have the excellence in energy saving aspects. The expansion of smartphones and mobile devices and the development of smart grid technology can affect electronics market. Domestic companies are continuously develop new product to provide consumers convenient with a variety of additional features combined consumer products. This study proposes a convergence model for sales prediction of electronic appliances using sales data of A company from the North American market. We develop the convergence model for sales prediction based on based on artificial neural network and genetic algorithm. In addition, we validate the superiority of the proposed convergence model by comparing the prediction performance of traditional prediction models.

Classification of Whale Sounds using LPC and Neural Networks (신경망과 LPC 계수를 이용한 고래 소리의 분류)

  • An, Woo-Jin;Lee, Eung-Jae;Kim, Nam-Gyu;Chong, Ui-Pil
    • Journal of the Institute of Convergence Signal Processing
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    • v.18 no.2
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    • pp.43-48
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    • 2017
  • The underwater transients signals contain the characteristics of complexity, time varying, nonlinear, and short duration. So it is very hard to model for these signals with reference patterns. In this paper we separate the whole length of signals into some short duration of constant length with overlapping frame by frame. The 20th LPC(Linear Predictive Coding) coefficients are extracted from the original signals using Durbin algorithm and applied to neural network. The 65% of whole signals were learned and 35% of the signals were tested in the neural network with two hidden layers. The types of the whales for sound classification are Blue whale, Dulsae whale, Gray whale, Humpback whale, Minke whale, and Northern Right whale. Finally, we could obtain more than 83% of classification rate from the test signals.

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The Marriage Stewardship and the Role and Status of Social Development Network in Singapore (결혼 책임주의와 싱가포르 Social Development Network의 역할과 위상)

  • Kim, Myung-Hee
    • Journal of the Korea Convergence Society
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    • v.9 no.1
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    • pp.143-149
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    • 2018
  • This paper focuses on how Singapore has adopted the 'Marriage Promotion Policy' for resolving the low birthrate and how it has been using the Social Development Network (SDN) to cope with the problem of low fertility. Social Development Network is an organization that shows Singapore's national stewardship to marriage, and has developed from the beginning to the social phenomenon of increasing number of highly educated women and decreasing fertility. The predecessor of Social Development Network is 'Social Development Unit' (SDU), absorbed the 'Social Development Service' (SDS) that was launched later, and reborn as Social Development Network in 2009. At its inception, Social Development Network has been recruiting and organizing its own memberships without the help of commercial marriage agencies, and since 2006 has been dedicated to delegating dating and matchmaking services to private companies and supporting projects. The purpose of this paper using literature analysis is to analyze the status and role of Social Development Network from the theoretical point of view of marital stewardship to the present, and to suggest meaningful implications for Korea which has the same social experience.

Policy-based In-Network Security Management using P4 Network DataPlane Programmability (P4 프로그래머블 네트워크를 통한 정책 기반 인-네트워크 보안 관리 방법)

  • Cho, Buseung
    • Convergence Security Journal
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    • v.20 no.5
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    • pp.3-10
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    • 2020
  • Recently, the Internet and networks are regarded as essential infrastructures that constitute society, and security threats have been constantly increased. However, the network switch that actually transmits packets in the network can cope with security threats only through firewall or network access control based on fixed rules, so the effective defense for the security threats is extremely limited in the network itself and not actively responding as well. In this paper, we propose an in-network security framework using the high-level data plane programming language, P4 (Programming Protocol-independent Packet Processor), to deal with DDoS attacks and IP spoofing attacks at the network level by monitoring all flows in the network in real time and processing specific security attack packets at the P4 switch. In addition, by allowing the P4 switch to apply the network user's or administrator's policy through the SDN (Software-Defined Network) controller, various security requirements in the network application environment can be reflected.

Energy Harvesting System for Underground Facility Sensor (지하시설물용 센서 네트워크를 위한 에너지 획득 장치)

  • Kwon, Young-Min;Lee, Hyung-Su
    • 한국정보통신설비학회:학술대회논문집
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    • 2009.08a
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    • pp.136-137
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    • 2009
  • In this paper, we introduce UFSN(Underground Facility Sensor Network) in order to build the intelligent management system for the underground facility and drainage in convergence with ubiquitous technologies and propose the energy harvesting system for UFSN.

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Dynamic Network using Symmetric Block Cipher

  • Park Jong-Min
    • Journal of information and communication convergence engineering
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    • v.3 no.1
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    • pp.5-8
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    • 2005
  • Dynamic cipher has the property that the key-size, the number of round, and the plaintext-size are scalable simultaneously. We present the method for designing secure Dynamic cipher against meet-in-the-middle attack and linear cryptanalysis. Also, we show that the differential cryptanalysis to Dynamic cipher is hard. In this paper we propose a new network called Dynamic network for symmetric block ciphers.

An Analytical Hierarchy Process Combined with Game Theory for Interface Selection in 5G Heterogeneous Networks

  • Chowdhury, Mostafa Zaman;Rahman, Md. Tashikur;Jang, Yeong Min
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.4
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    • pp.1817-1836
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    • 2020
  • Network convergence is considered as one of the key solutions to the problem of achieving future high-capacity and reliable communications. This approach overcomes the limitations of separate wireless technologies. Efficient interface selection is one of the most important issues in convergence networks. This paper solves the problem faced by users of selecting the most appropriate interface in the heterogeneous radio-access network (RAN) environment. Our proposed scheme combines a hierarchical evaluation of networks and game theory to solve the network-selection problem. Instead, of considering a fixed weight system while ranking the networks, the proposed scheme considers the service requirements, as well as static and dynamic network attributes. The best network is selected for a particular service request. To establish a hierarchy among the network-evaluation criteria for service requests, an analytical hierarchy process (AHP) is used. To determine the optimum network selection, the network hierarchy is combined with game theory. AHP attains the network hierarchy. The weights of different access networks for a service are calculated. It is performed by combining AHP scores considering user's experienced static network attributes and dynamic radio parameters. This paper provides a strategic game. In this game, the network scores of service requests for various RANs and the user's willingness to pay for these services are used to model a network-versus-user game. The Nash equilibria signify those access networks that are chosen by individual user and result maximum payoff. The examples for the interface selection illustrate the effectiveness of the proposed scheme.