• Title/Summary/Keyword: science network

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An Optimization Algorithm for the Maximum Lifetime Coverage Problems in Wireless Sensor Network

  • Ahn, Nam-Su;Park, Sung-Soo
    • Management Science and Financial Engineering
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    • v.17 no.2
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    • pp.39-62
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    • 2011
  • In wireless sensor network, since each sensor is equipped with a limited power, efficient use of the energy is important. One possible network management scheme is to cluster the sensors into several sets, so that the sensors in each of the sets can completely perform the monitoring task. Then the sensors in one set become active to perform the monitoring task and the rest of the sensors switch to a sleep state to save energy. Therefore, we rotate the roles of the active set among the sensors to maximize the network lifetime. In this paper, we suggest an optimal algorithm for the maximum lifetime coverage problem which maximizes the network lifetime. For comparison, we implemented both the heuristic proposed earlier and our algorithm, and executed computational experiments. Our algorithm outperformed the heuristic concerning the obtained network lifetimes, and it found the solutions in a reasonable amount of time.

Application of a Neural Network to Dynamic Draft Model

  • Choi, Yeong Soo;Lee, Kyu Seung;Park, Won Yeop
    • Agricultural and Biosystems Engineering
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    • v.1 no.2
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    • pp.67-72
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    • 2000
  • A dynamic draft model is necessary to analyze mechanics of tillage and to design optimal tillage tools. In order to deal with draft dynamics, a neural network paradigm was applied to develop dynamic draft models. For the development of the models, three kinds of tillage tools were used to measure drafts in the soil bin and a time lagged recurrent neural network was developed. The neural network had a structure to predict dynamic draft, having a function of one-step-ahead prediction. A procedure for network prediction model identification was established. The results show promising modeling of the dynamic drafts with developed neural network.

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Designing and building an efficient small-sized LAN (효율적인 소규모 네트워크 구축)

  • 안봉근;이병수;정현식
    • Korean Management Science Review
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    • v.12 no.3
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    • pp.97-115
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    • 1995
  • Information sharing and automated office in the use of PC necessitate corporate network to implement business innovation. Building an efficient network requires competent knowledge on capabilities of various LAN technologies, hardwares and softwares that have rapidly improved in terms of efficiency and cost. This paper compares capabilities of network components: communication protocol, hardware, network operation system, low cost database software and mid-range priced SQL for application development. Also this study presents a new technology on virtual LAN and a selection guide among the various options of the network components which are suitable for PC-based small-sized network in balance of efficiency with economy. In the last section of this paper, a case of small-sized network is given for illustration.

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A dual based heuristic for the hub location and network design problem with single assignment constraint (단일연결 제약하의 설비입지를 고려한 망설계 문제의 쌍대기반 해법)

  • 윤문길
    • Journal of the Korean Operations Research and Management Science Society
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    • v.25 no.1
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    • pp.67-84
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    • 2000
  • In this paper, we address a network design problem including the decision of hub facility locatiions which is typically found in a communicatio and a transportation network design studies. Due to the administrative and the geographical restrictions, it is common to assume that each user should be assigned to only one hub facility. To construct such a network, three types of network costs should be considered: the fixed costs of establishing the hubs and the arcs in the network, and the variable costs associated with transversing the network. The complex problem is formulated as a mixed IP embedding a multicommodity flow problem. Exploiting its special structure, a dual-based heuristic is then developed, which yields near-optimal design plans. The test results indicate that the heuristic is an effective way to solve this computationally complex problem.

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A Study on the Multivariate Stratified Random Sampling with Multiplicity (중복수가 있는 다변량 층화임의추출에 관한 연구(층별로 독립인 경우의 배분문제))

  • Kim, Ho-Il
    • Journal of the Korean Data and Information Science Society
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    • v.10 no.1
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    • pp.79-89
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    • 1999
  • A counting rule that allows an element to be linked to more than one enumeration unit is called a multiplicity counting rule. Sample designs that use multiplicity counting rules are called network samples. Defining a network to be a set of observation units with a given linkage pattern, a network may be linked with more than one selection unit, and a single selection unit may be linked with more than one network. This paper considers allocation for multivariate stratified random sampling with multiplicity.

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Bounds for Network Reliability

  • Jeong, Mi-Ok;Lim, Kyung-Eun;Lee, Eui-Yong
    • Journal of the Korean Data and Information Science Society
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    • v.16 no.1
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    • pp.1-11
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    • 2005
  • A network consisting of a set of N nodes and a set of links is considered. The nodes are assumed to be perfect and the states of links to be binary and associated to each other. After defining a network structure function, which represents the state of network as a function of the states of links, we obtain some lower and upper bounds on the network reliability by adopting minmax principle and minimal path and cut set arguments. These bounds are given as functions of the reliabilities of links. The bridge network is considered as an example.

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P2P Network Simulation System for Performance Evaluation in Convergence Networks

  • Kim, Yu-Doo;Moon, Il-Young
    • Journal of information and communication convergence engineering
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    • v.9 no.4
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    • pp.396-400
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    • 2011
  • P2P(peer to Peer) network is a distributed network architecture composed of participants that make a portion of their resources directly available to other network participants, without the need for a central server. Currently, convergence network industry using wired and mobile are grows rapidly. So P2P protocols will be used between mobile and wired network. But current P2P protocols are focused on the wired networks only and there are no simulators for performance analysis of mobile P2P. In this paper, we design a P2P simulation system for performance analysis of P2P protocols in mobile, wired and convergence networks. It is constructed by a well-known mobile network simulator and wired based P2P protocol simulator. Finally we have implemented a smart TV test-bed using our P2P test-bed for convergence networks.

A Novel Sensor Data Transferring Method Using Human Data Muling in Delay Insensitive Network

  • Basalamah, Anas
    • International Journal of Computer Science & Network Security
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    • v.21 no.12
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    • pp.21-28
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    • 2021
  • In this paper, a novel data transferring method is introduced that can transmit sensor data without using data bandwidth or an extra-processing cycle in a delay insensitive network. The proposed method uses human devices as Mules, does not disturb the device owner for permission, and saves energy while transferring sensor data to the collection hub in a wireless sensor network. This paper uses IP addressing technique as the data transferring mechanism by embedding the sensor data with the IP address of a Mule. The collection hub uses the ARP sequence method to extract the embedded data from the IP address. The proposed method follows WiFi standard in its every step and ends when data collection is over. Every step of the proposed method is discussed in detail with the help of figures in the paper.

A Complex Valued ResNet Network Based Object Detection Algorithm in SAR Images (복소수 ResNet 네트워크 기반의 SAR 영상 물체 인식 알고리즘)

  • Hwang, Insu
    • Journal of the Korea Institute of Military Science and Technology
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    • v.24 no.4
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    • pp.392-400
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    • 2021
  • Unlike optical equipment, SAR(Synthetic Aperture Radar) has the advantage of obtaining images in all weather, and object detection in SAR images is an important issue. Generally, deep learning-based object detection was mainly performed in real-valued network using only amplitude of SAR image. Since the SAR image is complex data consist of amplitude and phase data, a complex-valued network is required. In this paper, a complex-valued ResNet network is proposed. SAR image object detection was performed by combining the ROI transformer detector specialized for aerial image detection and the proposed complex-valued ResNet. It was confirmed that higher accuracy was obtained in complex-valued network than in existing real-valued network.

A Systematic Study of Network Firewall and Its Implementation

  • Alsaqour, Raed;Motmi, Ahmed;Abdelhaq, Maha
    • International Journal of Computer Science & Network Security
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    • v.21 no.4
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    • pp.199-208
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    • 2021
  • This is an era of technology and with the rapid growth of the Internet, networks are continuously growing. Companies are shifting from simple to more complex networks. Since networks are responsible to transmit huge data which is often sensitive and a point of concern for hackers. Despite the sizes of the networks, all networks are subject to several threats. Companies deploy several security measures to protect their networks from unauthorized access. These security measures are implemented from the device level to the network level. Every security layer adds more to the security of the company's network. Firewalls are the piece of software that provides internal and external security of the network. Firewalls aim to enhance the device level as well as network-level security. This paper aims to investigate the different types of firewalls, their architecture, and vulnerabilities of the firewall. This paper improves the understanding of firewall and its various types of architecture.