• Title/Summary/Keyword: 커버리지 비율

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Coverage Scheduling control Algorithm in MANET (모바일 에드 혹 네트워크에서 커버리지 스케쥴링 제어 알고리즘)

  • Oh, Young-jun;Lee, Kang-whan
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2014.10a
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    • pp.848-850
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    • 2014
  • Mobile Ad hoc Networks(MANET) is consist of node that has mobility, MANET build cluster formation for using energy efficient. In existing LEACH algorithm elect cluster head node in coverage area by distribution function. However, when the cluster head node, that elected by distribution function, is divided coverage area unevenly, the network can't consumption energy efficiency. To solve this problem, we proposed CSWC(Coverage Scheduling Weight-value Control) algorithm. When the coverage area is divided nonchalance, proposed algorithm increased number of hops, that determines coverage area, for balance coverage area. As the result proposed algorithm is set balance coverage area, the network consumption energy efficiency.

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표적 마케팅을 위한 CBR 시스템의 유사 임계치 및 커버리지의 동시 최적화 모형

  • An, Hyeon-Cheol
    • 한국경영정보학회:학술대회논문집
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    • 2007.11a
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    • pp.605-610
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    • 2007
  • 사례기반추론(CBR)은 많은 장점으로 인해, 생산, 재무, 마케팅 등의 분야의 다양한 경영의사결정문제 해결에 적용되어 왔다. 그러나, 효과적인 CBR 시스템을 설계, 구축하기 위해서는 연구자가 직관적으로 설정해야 할 많은 변수들이 존재한다. 본 연구에서는 이러한 CBR의 여러 설계요소들 중, '결합할 유사사례의 선택' 과 관련해, CBR이 보다 개선된 형태로 경영문제 해결에 응용될 수 있는 모형을 제시하고 있다. 본 연구의 제안모형은 결합할 유사사례를 선택하는 기준으로 특정 사례수(k-NN)나 유사도의 상대적 비율을 사용하는 기존의 CBR과 달리 0에서 1사이의 값을 갖는 절대적 유사 임계치를 적용하고 있다. 다만, 절대적 유사 임계치를 사용할 때, 그 값이 작아질 경우 예측결과의 생성이 과도하게 이루어지지 않을 수 있는 문제를 해결하기 위해, 커버리지를 모형에 함께 반영하여 사용자가 원하는 수준의 커버리지는 유지한 상태에서 가장 효과적인 유사 사례를 찾아, 추론을 수행할 수 있도록 설계하였다. 제안모형을 검증하기 위해, 본 연구에서는 이 모형을 실제 인터넷 쇼핑몰의 고객 발굴 사례에 적용해 보았다. 이를 통해, 제안모형의 적용가능성을 확인하고, 향후 추가연구가 요구되는 개선방향을 고찰해 보았다.

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Coverage Analysis of WCDMA-based Femto Cells for Data Offloading (데이터 오프로딩을 위한 WCDMA 기반 펨토셀의 커버리지 분석)

  • Ban, Tae Won;Jung, Bang Chul
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.17 no.3
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    • pp.556-560
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    • 2013
  • Recently, solutions to accommodate explosively growing mobile data traffic have attracted intensive attentions since the emergence of high-performance smartphones. Spectrum which can be exploited for mobile communications is very limited. Thus, femto cell is considered as an alternative because it can efficiently offload mobile data traffic from macro cells without using additional spectrum. In this paper, we mathematically analyzed the coverage of femto cell when it is deployed in an area where there exists signals from existing macro base stations. Our numerical results indicate that the coverage of femto cell increases as the total power of femto cell increases or the ratio of power allocated to pilot channel increases. However, it is also shown that the coverage of femto cell is very limited despite its high power when interference signals from macro base stations are strong.

A Gap Analysis Method Between System Requirements and Components for Improving Reusability (재사용 향상을 위한 요구사항과 컴포넌트간의 Gap 분석)

  • Shin, Jung-Hwan;Kim, Neung-Hoe;Lee, Dong-Hyun;In, Hoh Peter
    • Proceedings of the Korean Information Science Society Conference
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    • 2011.06b
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    • pp.159-162
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    • 2011
  • 시스템 요구사항과 소프트웨어 재사용 컴포넌트 간의 Gap 분석을 통해 컴포넌트의 재사용 커버리지를 측정함으로써 부적절한 재사용 컴포넌트를 구분해 내거나 대안 컴포넌트 중 가장 재사용 커버리지가 높은 컴포넌트를 선택하는 방법을 제안한다. Gap 분석의 방법으로 기능적, 비기능적 지표가 고려된 FP(Function Point) 분석 방법의 사용을 통한 재사용컴포넌트의 평가 프로세스에 대해 설명한다. 재사용컴포넌트 평가 프로세스에 의해 계산된 수치화된 시스템요구사항과 재사용컴포넌트간의 커버리지 비율을 통해, 소프트웨어 재사용 방해요소인 부적절한 라이브러리의 사용, 신뢰성이 떨어지는 모듈, 성능격감 의 문제점들을 줄이거나 해결함으로써 소프트웨어 재사용의 비율을 높이고 이는 비용절감으로 이어져 보다 성공적인 소프트웨어 개발 프로젝트를 기대할 수 있다.

An Adaptive Coverage Control Algorithm for Throughput Improvement in OFDMA-based Relay Systems (OFDMA 기반 Relay 시스템에서 Throughput 성능 향상을 위한 적응적 커버리지 조절 기법)

  • Hyun, Myung-Reun;Hong, Dae-Hyoung;Lim, Jae-Chan
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.34 no.9B
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    • pp.876-882
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    • 2009
  • In this paper, we propose a sub-cell coverage control algorithm for enhancement of the cell throughput in OFDMA based relay systems. Relay station (RS) is exploited for improved quality of the received signal in cellular communication systems, especially in shadow areas. However, since a RS requires additional radio resource consumption for the link between the base station (BS) and the RS, we have to carefully control the coverage areas if a mobile station (MS) is serviced via the BS or the RS considering the cell throughput. We consider radio resource reuse as well for the sub-cell coverage configuration by applying various reuse patterns between RSs. We also consider a time varying system by adaptively changing the threshold for coverage depending on the MSs' traffic in the cell. We initially determine the sub-cell coverage of the system depending on the ratio of received signal-interference-noise-ratio (SINR) of the MS from the BS and RSs, respectively. Then, the "sub-cell coverage threshold" varies based on the "effective transmitted bits per sub-channel" with time. Simulation result shows that the proposed "time varying coverage control algorithm" leads to throughput improvement compared to the fixed sub-cell coverage configuration.

Deep Learning Model Validation Method Based on Image Data Feature Coverage (영상 데이터 특징 커버리지 기반 딥러닝 모델 검증 기법)

  • Lim, Chang-Nam;Park, Ye-Seul;Lee, Jung-Won
    • KIPS Transactions on Software and Data Engineering
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    • v.10 no.9
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    • pp.375-384
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    • 2021
  • Deep learning techniques have been proven to have high performance in image processing and are applied in various fields. The most widely used methods for validating a deep learning model include a holdout verification method, a k-fold cross verification method, and a bootstrap method. These legacy methods consider the balance of the ratio between classes in the process of dividing the data set, but do not consider the ratio of various features that exist within the same class. If these features are not considered, verification results may be biased toward some features. Therefore, we propose a deep learning model validation method based on data feature coverage for image classification by improving the legacy methods. The proposed technique proposes a data feature coverage that can be measured numerically how much the training data set for training and validation of the deep learning model and the evaluation data set reflects the features of the entire data set. In this method, the data set can be divided by ensuring coverage to include all features of the entire data set, and the evaluation result of the model can be analyzed in units of feature clusters. As a result, by providing feature cluster information for the evaluation result of the trained model, feature information of data that affects the trained model can be provided.

A Service Coverage Analysis for the Digital Radio Village Broadcasting Systems (디지털 무선 마을방송 시스템을 위한 서비스 커버리지 분석)

  • Choi, Da-Some;Kang, Young-Heung
    • Journal of Advanced Navigation Technology
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    • v.19 no.6
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    • pp.630-635
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    • 2015
  • Since, the existing analog village broadcasting system had been affected by the climate change such as rain and had some problems likes as short range, it had been changed to the digital system and its standardizations required to be developed from now. In order to deploy the efficient digital wireless village broadcasting system, some propagation profiles as well as service coverages should be analyzed in various radio environments. In this paper, we have set up the transmission power as a parameter and estimated the service coverage area ratio as well as the area ratio interfered into the nearby village in rural, suburban and urban environments using spectrum management intelligence system (SMIS). This paper provides the basic data to establish a standard using the radio propagation characteristics and received power for village broadcasting system in various environments.

Performance Analysis of Mobile Multi-hop Relay Uplink System in Multicell Environments (멀티셀 환경에서 Mobile Multi-hop Relay 상향링크 시스템의 성능 분석)

  • Kim, Seung-Yeon;Kim, Se-Jin;Lee, Hyong-Woo;Ryu, Seung-Wan;Cho, Choong-Ho
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.35 no.4A
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    • pp.394-400
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    • 2010
  • Mobile Multi-hop Relaying (MMR) system can provide increased system capacity of wireless access network by coverage extension and enhanced transmission rate within the Base Station (BS) coverage area. The previous researches for the MMR system with a non-transparent mode Relay Station (RS) do not consider channel selection procedure of Mobile Station (MS), co-channel interference and Multi-hop Relay Base Station (MR-BS) coverage and RS coverage ratio in MMR system. In this paper, we investigate the performance of MMR uplink system in multicell environments with various topologies. The performance is presented in terms of call blocking probability, channel utilization, outage probability and system throughput by varying offered load. It is found that, for certain system parameters, the MMR uplink system achieve the maximum system throughput when MR-BS coverage to RS coverage ratio is 7.

Autonomous Unmanned Vehicle based Self-locomotion Network for Tracking Targets in Group Mobility (그룹이동타겟 추적을 위한 무인차량기반의 자가이동 네트워크)

  • Tham, Nguyen Thi;Yoon, Seok-Hoon
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.37 no.7C
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    • pp.527-537
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    • 2012
  • In this paper, we propose unmanned vehicle based tracking network (UVTN) architecture and algorithms which employ multiple autonomous unmanned ground vehicles (AUGV) to efficiently follow targets in a group. The goal of UVTN is to maximize the service coverage while tracking target nodes for monitoring or providing the network access. In order to achieve this goal, UVTN performs periodic expansion and contraction which results in optimized redistribution of AUGV's in the network. Also, enhanced algorithms such as fast contraction and longest first are also discussed to improve the performance of UVTN in terms of the average coverage ratio and traveled distance. Simulation results show that the proposed UVTN and enhanced algorithms can effectively track the moving target and provide the consistent coverage.

Facility Classification for Mobile Communications Systems based on Investment Requirements (투자요구에 따른 이동통신 시스템 설비 분류)

  • Jang Hee-Seon;Han Sung-Su;Lim Seog-Ku
    • Journal of Digital Contents Society
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    • v.5 no.3
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    • pp.234-238
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    • 2004
  • The system facilities in mobile communications networks are mainly classified into the coverage and usage in the viewpoint of the investments requirements. Based on the classification criterion, the interconnection charging between the wired operators art wireless operators is determined. In this paper, to decide the scale of the interconnection charging a new classification method is proposed by using the system capacity(Erlang, throughput) and subscriber`s estimated demand. The coverage ratio is first evaluated for each facility, and then more efficient interconnection charging model will be presented.

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