• 제목/요약/키워드: network life

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Status Analysis and Activating Plan of Home Network for the Elderly (고령자를 위한 홈네트워크 현황 분석 및 활성화방안 수립 연구)

  • Kee, Ho-Young;Cheong, So-Yi
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.25 no.10
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    • pp.125-132
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    • 2011
  • The home network, contributing to improve the quality of life in dwelling, has expanded its installation and use in past years, but the elderly care system supporting self-reliance is not fully prepared. Although the aging society in Korea is progressing rapidly, inducting and spreading home network system is still required supporting of 'Aging in Place' for the elderly. This research is based the survey of spatial characteristics of housing of the elderly. Also, the research studied the technical level and policy of home network in domestic and abroad and analyze the professional view of experts in the home network field, as a result, suggested methods of building and activating the home network system.

An Survey on the Network-Driven DSM (네트워크 수요관리 프로그램 현황 조사)

  • Kim, Jin-Ho;Park, Jong-Bae;Park, Young-Soo;Lee, Jin-Ho
    • Proceedings of the KIEE Conference
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    • 2005.11b
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    • pp.171-173
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    • 2005
  • To date, the IEA DSM Programme has not undertaken any work on the potential for DSM to cost-effectively relieve electricity network constraints Such constraints are becoming a significant problem in countries where electricity demand is increasing and network infrastructure ('poles and wires') is ageing. As loads grow and infrastructure reaches the end of its economic life, the potential cost of augmenting electricity networks is increasing exponentially. In many situations, network-driven DSM can delay the need for network augmentation. In some limited situations, mainly at the distribution level, network-driven DSM may be able to cost-effectively eliminate the requirement to build a 'poles and wires' solution. In this paper, the concept of network-driven DSM program is surveyed.

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Future Smart Communication Networks: A Survey of Security issues in Developing a Smart City

  • AlEisa, Hussah N.
    • International Journal of Computer Science & Network Security
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    • v.22 no.2
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    • pp.139-144
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    • 2022
  • The smart cities are evolving constantly and are responsible for the current transformation of cities and countries into a completely connected network of information and technology This interconnected network of a huge number of smart devices is capable of exchanging complex information and provides tremendous support including enhanced quality of life within urban locations. Unfortunately this set-up is vulnerable to security attacks and requires the widespread ubiquitous network to authorize access through privacy and thus offer security in order to ensure civilian participation in a country. The smart network should benefit the individuals of the country by developing potential strategies to protect the smart cities and their participating entities from the unauthorized attacks. Trustworthy data sharing strategies based on the utilization of advanced technology features via smart communication network could solve some issues of privacy and security. This paper presents the challenges and issues related to protection and highlights the important aspects of securing the smart cities and its components. It also presents the role of cloud security for building a secure smart city.

Knowledge Management Research Based on Social Network Theories: A Review with Future Directions

  • Tae Hun Kim
    • Asia pacific journal of information systems
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    • v.32 no.1
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    • pp.168-190
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    • 2022
  • This review aims to synthesize social network theories by drawing on the importance of social network perspectives in understanding knowledge management with technology in organizations. I provide an overview of prior social network research with the following core ideas: the primacy of relations between organizational actors, the utility of actors' embeddedness in social fields, the social utility of network connections, and the structural patterning of social life. On top of that, I summarize critical social perspectives (the social capital theory, the structural hole theory, the embeddedness perspective, the social exchange theory, the organizational learning theory, and the innovation diffusion theory) to suggest potential research questions for future studies in social network research in the knowledge management discipline.

A WSN(Wiress Sensor Network) Building Scheme using Clustering and Location information (클러스터링 및 위치 정보를 활용한 WSN(Wireless Sensor Network) 구성 방안)

  • Kim, Jinsoo;Kwon, Hyukjin;Shin, Dongkyoo;Hong, Sunghoon
    • Convergence Security Journal
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    • v.20 no.3
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    • pp.13-20
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    • 2020
  • Recently, the need of researches and developments about WSN(Wireless Sensor Network) technologies, which can be applied to services that require continuous monitoring or services to specific areas where accesses are limited, has gradually increased due to their expansion of application areas and the improvement of the efficiency. Especially, in the defense field, researches on the latest IT technologies including sensor network areas are actively conducted as an alternative to avoid the risk factors that can be occurred when personnel are put in, such as boundary and surveillance reconnaissance and to utilize personnel efficiently. In this paper, we analyze the conditions for increasing the life span of sensing nodes that make up sensor network by applying clustering and location-based techniques and derived the factors for extending the life span of them. The derived factors include CH(Cluster Head) election scheme and optimal path selection from CH to BS(Base Station). We proposed final scheme using derived factors and verified it through simulation experiments.

A Study on a Space Reprogramming for the Gyung Ro Dang Facility's Improvement - Through the remodeling of Gyung Ro Dang in Daejeon city - (경로당 시설개선을 위한 공간 재구성 연구 - 대전광역시 소재 경로당 리모델링을 통하여 -)

  • Lee, Hae-Wook
    • Korean Institute of Interior Design Journal
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    • v.19 no.6
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    • pp.241-248
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    • 2010
  • The population of the elderly is rapidly increased because maturation of the social welfare system and development of medical technology. However, welfare environments for the elderly are poor either in its quality or its quantity. The aims of this study is to confirm the space improvement possibility to change the Gyung Ro Dang to the senior life support center as a community welfare service network. This study is done by the comparative analysis between existing Gyung Ro Dang in korea and former cases in Japan based on the elderly's facility preference. The facility's space reprogramming alternative from that analysis is applied to change the Gyung Ro Dang to a network facility for the regional senior life support. Afterward, it is proposed that first, facilities should be expanded scale by the new education and health improvement facilities functional room that the modern elderly need. second, Facility space will be reconstitution because the Gyung Ro Dang have to be extended it's role as a community welfare network.

A Multi Path Routing Scheme for Data Aggregation in Wireless Sensor Networks (무선 센서 네트워크에서 데이타 병합을 위한 다중 경로 라우팅 기법)

  • Son, Hyeong-Seo;Lee, Won-Joo;Jeon, Chang-Ho
    • Journal of KIISE:Computing Practices and Letters
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    • v.15 no.3
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    • pp.206-210
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    • 2009
  • In this paper, we propose a new routing scheme based on multi-path routing which provides uniform energy consumption for all nodes. This scheme adds a new type of root node for constructing multi-path. The sink node delegates some partial roles to these root nodes. Such root nodes carry out path establishment independently. As a result, each nodes consume energy more uniformly and the network life-time will be extended. Through simulation, we confirmed that energy consumption of the whole network is scattered and the network life-time is extended. Moreover, we show that the proposed routing scheme improves the performance of network compared to previous routing strategies as the number of source nodes increases.

Plant development and defense signal network research

  • Paek, Kyung-Hee
    • Proceedings of the Korean Society of Plant Biotechnology Conference
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    • 2005.11a
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    • pp.81-83
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    • 2005
  • The Plant Signaling Network Research Center (SigNet) is a government-funded (by Korea's Ministry of Science and Technology (MOST)/ Korea Science and Engineering Foundation (KOSEF)) research center established at the School of Life Sciences and Biotechnology of Korea University in 2003. The SigNet conducts plant biological studies, especially in the field of developmental and defense biology. The research purpose of SigNet is dissection and analysis of plant development and defense signaling network through multiscientific approaches. Knowledge acquired from SigNet research scientists will provide new integrated view of understanding and potential application of plant development and defense mechanism. The other important mission of the SigNet is nurturing Center of Excellence for future outstanding research scientists of Korea. The SigNet will continue to expend every effort to achieve the goals for the future. Through passionate research endeavor of each laboratory and partnerships within inside and outside laboratories, we will continue to develop world-leading plant research group and to educate new generations of innovative researchers. As the SigNet looks toward the future, the SigNet will try to achieve its mission of research, education and service to the community. And the defense response research of our lab will be presented at later part.

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Calibration for Color Measurement of Lean Tissue and Fat of the Beef

  • Lee, S.H.;Hwang, H.
    • Agricultural and Biosystems Engineering
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    • v.4 no.1
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    • pp.16-21
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    • 2003
  • In the agricultural field, a machine vision system has been widely used to automate most inspection processes especially in quality grading. Though machine vision system was very effective in quantifying geometrical quality factors, it had a deficiency in quantifying color information. This study was conducted to evaluate color of beef using machine vision system. Though measuring color of a beef using machine vision system had an advantage of covering whole lean tissue area at a time compared to a colorimeter, it revealed the problem of sensitivity depending on the system components such as types of camera, lighting conditions, and so on. The effect of color balancing control of a camera was investigated and multi-layer BP neural network based color calibration process was developed. Color calibration network model was trained using reference color patches and showed the high correlation with L*a*b* coordinates of a colorimeter. The proposed calibration process showed the successful adaptability to various measurement environments such as different types of cameras and light sources. Compared results with the proposed calibration process and MLR based calibration were also presented. Color calibration network was also successfully applied to measure the color of the beef. However, it was suggested that reflectance properties of reference materials for calibration and test materials should be considered to achieve more accurate color measurement.

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Learning of Emergent Behaviors in Collective Virtual Robots using ANN and Genetic Algorithm

  • Cho, Kyung-Dal
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.4 no.3
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    • pp.327-336
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    • 2004
  • In distributed autonomous mobile robot system, each robot (predator or prey) must behave by itself according to its states and environments, and if necessary, must cooperate with other robots in order to carry out a given task. Therefore it is essential that each robot have both learning and evolution ability to adapt to dynamic environment. This paper proposes a pursuing system utilizing the artificial life concept where virtual robots emulate social behaviors of animals and insects and realize their group behaviors. Each robot contains sensors to perceive other robots in several directions and decides its behavior based on the information obtained by the sensors. In this paper, a neural network is used for behavior decision controller. The input of the neural network is decided by the existence of other robots and the distance to the other robots. The output determines the directions in which the robot moves. The connection weight values of this neural network are encoded as genes, and the fitness individuals are determined using a genetic algorithm. Here, the fitness values imply how much group behaviors fit adequately to the goal and can express group behaviors. The validity of the system is verified through simulation. Besides, in this paper, we could have observed the robots' emergent behaviors during simulation.