• Title/Summary/Keyword: Network Benefit

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Design of Portable E-Nose System using Neural Network Algorithm (신경회로망을 이용한 휴대용 E-Nose 시스템 개발)

  • Kim, Jeong-Do;Kim, Dong-Jin;Ham, Yu-Kyung;Hong, Cheol-Ho;Byun, Hyung-Gi
    • Proceedings of the KIEE Conference
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    • 2004.11c
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    • pp.39-42
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    • 2004
  • We have designed a portable electronic nose(e-nose) system using an array of commercial gas sensors for recognition and analyzing the various odours. In this paper, we have implemented a portable e-nose system using an array gas sensors and personal digital assistants(PDA) for recognizing and analyzing volatile organic compounds(VOCs) in the field. Field screening for pollutants has been a target of instrumental development for number of year. A portable e-nose system can be substantial benefit to rapidly localize the spacial extent of a pollution or to find pollutants source. And, by using PDA, E-nose have a better function such as the easy user-interface and data transfer by internet from on- site to remote computer. We adapted the Levenberg-Marquardt algorithm based on the back-propagation and proposed the method that could be predicted concentration levels of VOCs gases after classification by separating neural network into two parts.

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한국과 미국간 항공기 탑승객 수 예측을 위한 뉴럴네트웍의 응용

  • 남경두
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 1995.09a
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    • pp.334-343
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    • 1995
  • In recent years, neural networks have been developed as an alternative to traditional statistical techniques. In this study, a neural network model was compared to traditional forecasting models in terms of their capabilities to forecast passenger traffic for flights between U.S. and Korea. The results show that the forecasting ability of the neural networks was superior to the traditional models. In terms of accuracy, the performance of the neural networks was quite encouraging. Using mean absolute deviation, the neural network performed best. The new technique is easy to learn and apply with commercial neural network software. Therefore, airline decision makers should benefit from using neural networks in forecasting passenger loads.

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Influences of Relationship Benefits of SNS on Brand Attitude (SNS의 관계적 혜택이 브랜드태도에 미치는 영향)

  • Lee, Sangwon;Baek, Seunghee
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2013.07a
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    • pp.321-323
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    • 2013
  • Supporting communications among users, Social Network has encouraged various information flows through relationships among them. This paper studies on mentality or attitude of Social Network Services (SNS for short) users, on the basis of Technology Acceptance Model (TAM for short) and then proposes so-called TAMS, Technology Acceptance Model for Social Network Services. SNS users make full use of SNS as channels in order to create, expand, and obtain some information related to personal concerns. We will research on how the benefits that users get by using SNS exert influence on user-perceived usability. The SNS-using benefits focus on relationship benefits that are formed by interactions among users. Provided that perceived usability affects mental or informational benefits according to involvement of SNS users, we will check how perceived usability or ease of use is connected to brand attitude.

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Real-Time Multiprocessor Scheduling Algorithm using Neural Network and Its Hardware Design (신경망을 이용한 실시간 멀티프로세서 스케줄링 알고리즘과 하드웨어 설계)

  • Lee, Jae-Hyeong;Lee, Gang-Chang;Jo, Yong-Beom
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.37 no.4
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    • pp.26-36
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    • 2000
  • This paper proposes a neural network algorithm for real-time multiprocessor scheduling problem. The proposed algorithm is developed base on Hopfield neural network for a benefit of parallel processing, in order to finish a requested task within a deadline time. To compare the performance of the proposed algorithm, we used EDA and LLA algorithm that has studied real-time multiprocessor scheduling before. The proposed algorithm is implemented hardware using VHDL.

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USN Security Considerations in Home Network (홈 네트워크에서의 USN 보안 고려 사항 분석)

  • Park, Woo-Chool;Park, Hyun-Mun;Lee, Myung-Soo;Yoon, Nyung-Hyun
    • Proceedings of the KIEE Conference
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    • 2006.04a
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    • pp.171-173
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    • 2006
  • Because sensor networks use wireless communication, they are vulnerable to attacks which are more difficult launch in the wired domain. Many wired networks benefit from their inherent physical security properties. It is unlikely that an adversary will dig up the Internet backbone and splice into the line. However, wireless communications are difficult to protect; they are by nature a broadcast medium. In a broadcast medium, adversaries can easily eavesdrop on, intercept, inject, and alter transmitted data. In addition, adversaries are not restricted to using sensor network hardware. We have analyzed the IEEE 802.15.4, ZigBee specification which includes a number of security provisions and options. In this paper, we highlight places where USN security considerations and home network attack scenarios.

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Premium IP Multicast Technology (프리미엄 IP 멀티캐스트 기술)

  • Oh, Hyun-Woo;Cho, Kee-Seong;Kim, Sang-Ha
    • Proceedings of the IEEK Conference
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    • 2006.06a
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    • pp.117-118
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    • 2006
  • Recently, the fusion of communication and broadcasting surfaces streaming service such as IPTV with killer application of BcN. In this paper, Premium IP multicast is called as transport service technology that transfer streaming service such as IPTV through integrated, controllable, maintainable network in order to guarantee end-to-end QoS to predefined person. It capacitates billing of multicast service instead of network operator guarantees high quality QoS to subscriber. So, network operators are able to create benefits and find benefit models. The other side, subscribers can use various high quality streaming services.

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Latency Analysis of AVB Network and Optimization Design for Automotive

  • An, Byoungman;Kim, YoungSeop
    • Journal of the Semiconductor & Display Technology
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    • v.18 no.3
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    • pp.127-132
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    • 2019
  • This paper presents an overview of automotive communication technologies, including related technology developments. We describe the latency of Audio Video Bridge (AVB) network as well as purpose the optimized design of the Ethernet network system for automotive. Our design plays a significant role in reducing the delay between components. The proposed approach on realistic test cases showed that there was a delay reduction, approximately 49.4%. It is expected that the optimization method for the actual automotive environment can greatly shorten the time period in the design and development process. The results obtained from the experiments on the delay time present in each function are reliable because average values are obtained through repeated actual tests for several months. It will greatly benefit the industry since analyzing the latency between each function in a short period of time is very important.

Robust Quick String Matching Algorithm for Network Security (네트워크 보안을 위한 강력한 문자열 매칭 알고리즘)

  • Lee, Jong Woock;Park, Chan Kil
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.9 no.4
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    • pp.135-141
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    • 2013
  • String matching is one of the key algorithms in network security and many areas could be benefit from a faster string matching algorithm. Based on the most efficient string matching algorithm in sual applications, the Boyer-Moore (BM) algorithm, a novel algorithm called RQS is proposed. RQS utilizes an improved bad character heuristic to achieve bigger shift value area and an enhanced good suffix heuristic to dramatically improve the worst case performance. The two heuristics combined with a novel determinant condition to switch between them enable RQS achieve a higher performance than BM both under normal and worst case situation. The experimental results reveal that RQS appears efficient than BM many times in worst case, and the longer the pattern, the bigger the performance improvement. The performance of RQS is 7.57~36.34% higher than BM in English text searching, 16.26~26.18% higher than BM in uniformly random text searching, and 9.77% higher than BM in the real world Snort pattern set searching.

HetNet Characteristics and Models in 5G Networks

  • Alotaibi, Sultan
    • International Journal of Computer Science & Network Security
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    • v.22 no.4
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    • pp.27-32
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    • 2022
  • The fifth generation (5G) mobile communication technology is designed to meet all communication needs. Heterogeneous networks (HetNets) are a new emerging network structure. HetNets have greater potential for radio resource reuse and better service quality than homogeneous networks since they can evolve small cells into macrocells. Effective resource allocation techniques reduce inter-user interference while optimizing the utilization of limited spectrum resources in HetNets. This article discusses resource allocation in 5G HetNets. This paper explains HetNets and how they work. Typical cell types in HetNets are summarized. Also, HetNets models are explained in the third section. The fourth component addresses radio resource control and mobility management. Moreover, future study in this subject may benefit from this article's significant insights on how HetNets function.

Differential Item Functioning (DIF) of the Arabic Version of the SONTUS

  • Alhaythami, Hassan M.
    • International Journal of Computer Science & Network Security
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    • v.22 no.5
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    • pp.49-54
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    • 2022
  • The objective of this study was to examine the function of the items on the Arabic version of the Social Networking Time Use Scale (SONTUS) using Differential Item Functioning (DIF) across groups of university students in SA (i.e., males and females at UQU). The findings of this study indicated that some of the items in the Arabic version of the SONTUS functioned differently across male and female students in SA. University faculty and administrators in Saudi Arabia as well as in the Arabic world can benefit from understanding students use of SNS.