• Title/Summary/Keyword: network activity

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Indoor Passive Location Tracking and Activity Monitoring using WSN for Ubiquitous Healthcare

  • Singh, Vinay Kumar;Lee, Seung-Chul;Lim, Hyo-Taek;Myllyla, Risto;Chung, Wan-Young
    • Journal of information and communication convergence engineering
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    • v.5 no.4
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    • pp.382-388
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    • 2007
  • Indoor location system using wireless sensor network technology was applied for the status evaluation and activity monitoring of elderly person or chronic invalid at home. Location awareness application is transparent to the daily activities, while providing the embedded computing infrastructure with an awareness of what is happening in this space. To locate an object, the active ceiling-mounted reference beacons were placed throughout the building. Reference beacons periodically publish location information on RF and ultrasonic signals to allow application running on mobile or static nodes to study and determine their physical location. Once object-carried passive listener receives the information, it subsequently determines it's location from reference beacons. By using only the sensor nodes without any external network infrastructure the cost of the system was reduced while the accuracy in our experiments. was fairly good and fine grained between 7 and 15 cm for location awareness in indoor environments. Passive architecture used here provides the security of the user privacy while at the server the privacy was secured by providing the authentication using Geopriv approach. This information from sensor nodes is further forwarded to base station where further computation is performed to determine the current position of object and several applications are enabled for context awareness.

A study on the SCM Activity and Business Performance varied with the Supply Chain Structure (공급사슬구조에 따른 SCM 활동과 경영성과에 관한 연구)

  • Jang Hyeong-Wook;Lee Sang-Shik;Park Byung-Kwon
    • The Journal of Information Systems
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    • v.15 no.2
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    • pp.173-193
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    • 2006
  • This study first conceptualizes and investigates five dimensions of SCM activities, such as organizational capacity, revitalization support collaboration, appraisal and responsibility, and information system activities. Second, this study develops three dimensions of a supply chain structure, and proposes a balanced scorecard (BSC) model in order to measure business performance. And then, this study establishes too research hypotheses as follows: H1. The SCM activities varies with the supply chain structure. H2. The management performance varies with the supply chain structure. In the questionnaire survey for empirical analysis, this study carefully selected 809 of companies in Korea. We conducted a survey by mail and collected 127 data. Out of 127 data we actually used 103 responses for statistical analysis. After conducting statistical analysis, we could find the results as followed: 1) The supply chain structure was classified into three networks through a clustering procedure, such as supply network, conversion network, and distribution network, and these networks were used to testify hypotheses. As a result the effect of SCM activities varies according to three networks and especially, the companies in distribution network were more active than those in supply and conversion networks doing SCM activities. 2) We may conclude that business performance varies with three networks, and distribution network achieves better performance than supply and conversion networks do.

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The Role of Slow Inhibitory Neurons in a Stochastic Neural Network Model with IF Neurons (확률적 신경망 모델에서 느린 금지뉴런의 역할)

  • C.J. Park;In Sun Shin;Kwang Suk Park
    • Journal of Biomedical Engineering Research
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    • v.23 no.4
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    • pp.329-332
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    • 2002
  • We have investigated the role of slow inhibitory neurons in spontaneous activity using a model network controlled by stochastic mean field theory based on Integrated-and-Fire excitatory and fast inhibitory neurons. It is found that inputting slow inhibitory neurons to such network induces stable spontaneous activity at a much lower threshold than without slow inhibitory neurons in the network. This threshold range is low enough to be considered as biological threshold of cortical neurons. Only slow inhibitory neurons can give adjustable negative feedback in the network keeping lower rate and lower threshold.

Network Structure and Dextran Formation of Jeungpyeon Made with Yeast Starter

  • Hahn, Young-Sook;Lee, Hae-Eun;Park, Ju-Yeon;Woo, Kyung-Ja
    • Food Science and Biotechnology
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    • v.15 no.1
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    • pp.77-81
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    • 2006
  • The dextransucrase activity of microorganisms which were identified as contributing to the fermentation of jeungpyeon made with yeast was measured. The dextran generated during fermentation was quantified and the viscosity changes were measured. The mechanism of network structure formation was clarified by observing the inside of the network structure over the fermentation periods ranging from 1 to 7 hr using scanning electron microscopy (SEM). The pH of jeungpyeon batter decreased significantly as the fermentation proceeded, whereas the viscosity increased. The identified lactic acid bacteria (LAB) were Leuconostoc mesenteroides subsp. mesenteroides, Pediococcus pentosaceus, Tetragenococcus halophilus, and Leuconostoc mesenteroides subsp. dextranicum. The yeast was identified as Saccharomyces cerevisiae A/Tor. Pretorien. The dextransucrase extracted from those microorganisms showed high activity. On the other hand, the amount of dextran generated from the batter increased significantly beyond 2 hr of fermentation, and the viscosity increment showed a similar trend. The SEM photos showed that the most homogeneous fine network structure was observed in the batter fermented for 2 hr. Therefore, we assumed that the dextran that was generated by microorganisms during fermentation interacted with the components of the batter to increase the stability of the network structure.

전북대학교 Local Area Network(LAN)의 제안

  • 신영석;이준환;이문호
    • Proceedings of the Korean Institute of Communication Sciences Conference
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    • 1983.04a
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    • pp.9-12
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    • 1983
  • Local Area Network is a rapidly developing area of interst and activity in the computer field. A.J. Thurber has classified the LAN with 7 categories. We choose two example system among these categories, such as Distributed Computer Network(DCN) and Labolink. In this paper, We propose the Local Area Network of Jeonbuk National University according to the choosen two example.

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An Empirical Study on the Competition Factor Electronic Logistics Information and International Logistics Management (국제물류관리와 전자적물류정보의 경쟁요인에 관한 실증연구)

  • Kwak, Hyun
    • International Commerce and Information Review
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    • v.9 no.2
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    • pp.257-283
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    • 2007
  • As Global industrial structure is diversified, multinational corporations accomplished fast internationalization to introduction of new management policy by development of an IT technology. Enterprise' business environment is changing transcending border. To overcome raging waves of change accident and to be secured enterprise's future, the logistics is recognized the third profit source joining in curtailment of sale enlargement, production cost. To seek cost saving or reform in logistics class that is last area of pursuit of profits within ancient city life in the fast lane from these viewpoint, importance of study that integrates and manages international logistics bases supply neck walk is emphasized. Specially, to meet on in terms of competitive power security regarding curtailment of logistics cost is available through link between logistics bases, various consumer's request, merchandise and service logistics management that supply fixed quantity as is reliable in right place at good season was embossed by point game plan of business management, and SCM efficiency anger of mortification international logistics activity importance of study that see at that dominate competitive advantage point bring. This study analyzes interrelation and presents model for integration of international logistics bases supply network with supply network habit at factor and supply chain, and supply network activity in integration of supply chain process and production. Also, it establishes following method of study to achieve study purpose for actual proof analysis for integration sequence of international logistics bases supply network. Specially, immersion of network and supply network, very high interrelation appeared by thing which is with international logistics base supply network integration. The integration of international logistics base supply network means that the enterprises which give trust and sincerity deal with market environment change positively and can decide proceeding of various cooperative work. Also, it means the possibility by necessity of cooperative relation and interdependence to continuous immersion and normative immersion, for the maintain of long business relations.

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Communication Status in Group and Semantic Network of Science Gifted Students in Small Group Activity (소집단 활동에서 과학 영재들의 집단 내 의사소통 지위와 언어네트워크)

  • Chung, Duk Ho;Cho, Kyu Seong;Yoo, Dae Young
    • Journal of the Korean earth science society
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    • v.34 no.2
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    • pp.148-161
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    • 2013
  • The purpose of the study was to investigate the relationship between the communication status in group and the semantic network of science gifted students. Seven small groups, 5 members in each, participated in small group activities, in which they discussed the calculation of earth density. Both the communication status in group and the semantic network of science gifted students were analyzed using KrKwic, Ucinet 6.0 for Windows. As a result, the semantic network of prime movers in group represented more frequently used words, lesser rate of component, and higher density than that of out lookers. It means that the prime movers have coherent knowledge compared to out lookers, and they output more knowledge for problem solving than out lookers. Therefore, the results of this study may be applied to evaluating the cognitive level of science gifted students and group organization for small group activity.

A Global Path Planning of Mobile Robot Using Modified SOFM (수정된 SOFM을 이용한 이동로봇의 전역 경로계획)

  • Yu Dae-Won;Jeong Se-Mi;Cha Young-Youp
    • Journal of Institute of Control, Robotics and Systems
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    • v.12 no.5
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    • pp.473-479
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    • 2006
  • A global path planning algorithm using modified self-organizing feature map(SOFM) which is a method among a number of neural network is presented. The SOFM uses a randomized small valued initial weight vectors, selects the neuron whose weight vector best matches input as the winning neuron, and trains the weight vectors such that neurons within the activity bubble are move toward the input vector. On the other hand, the modified method in this research uses a predetermined initial weight vectors of the 2-dimensional mesh, gives the systematic input vector whose position best matches obstacles, and trains the weight vectors such that neurons within the activity bubble are move toward the opposite direction of input vector. According to simulation results one can conclude that the modified neural network is useful tool for the global path planning problem of a mobile robot.

Customer Activity Recognition System using Image Processing

  • Waqas, Maria;Nasir, Mauizah;Samdani, Adeel Hussain;Naz, Habiba;Tanveer, Maheen
    • International Journal of Computer Science & Network Security
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    • v.21 no.9
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    • pp.63-66
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    • 2021
  • The technological advancement in computer vision has made system like grab-and-go grocery a reality. Now all the shoppers have to do now is to walk in grab the items and go out without having to wait in the long queues. This paper presents an intelligent retail environment system that is capable of monitoring and tracking customer's activity during shopping based on their interaction with the shelf. It aims to develop a system that is low cost, easy to mount and exhibit adequate performance in real environment.

Automated networked knowledge map using keyword-based document networks (키워드 기반 문서 네트워크를 이용한 네트워크형 지식지도 자동 구성)

  • Yoo, Keedong
    • Knowledge Management Research
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    • v.19 no.3
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    • pp.47-61
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    • 2018
  • A knowledge map, a taxonomy of knowledge repositories, must have capabilities supporting and enhancing knowledge user's activity to search and select proper knowledge for problem-solving. Conventional knowledge maps, however, have been hierarchically categorized, and could not support such activity that must coincide with the user's cognitive process for knowledge utilization. This paper, therefore, aims to verify and develop a methodology to build a networked knowledge map that can support user's activity to search and retrieve proper knowledge based on the referential navigation between content-relevant knowledge. This paper deploys keywords as the semantic information between knowledge, because they can represent the overall contents of a given document, and because they can play the role of semantic information on the link between related documents. By aggregating links between documents, a document network can be formulated: a keyword-based networked knowledge map can be finally built. Domain expert-based validation test was also conducted on a networked knowledge map of 50 research papers, which confirmed the performance of the proposed methodology to be outstanding with respect to the precision and recall.