• Title/Summary/Keyword: Physical Network

Search Result 1,876, Processing Time 0.027 seconds

A Study of PCI (Physical Cell Identification) Assignment in LTE (Long Term Evolution) SON (Self-Organization Network) (LTE 자가 구성 네트워크망에서 물리적 셀 ID할당 방법 연구)

  • Yang, Mochan
    • Journal of IKEEE
    • /
    • v.23 no.3
    • /
    • pp.941-946
    • /
    • 2019
  • In this paper, the author analyzed the PCI (Physical Cell Identification) allocation methods in the LTE (Long Term Evolution) SON (Self Organization Network) environment. A variety of techniques have been proposed for how to allocate PCI, and the LTE standard fundamentally explained that collision between a cell and neighbor cells arise while a cell assign the PCI. Therefore, in this paper, the author examined the scenarios of PCI collision, weak collision, and confusion proposed by LTE specification. In addition, the cell central approach and the distributed approach were discussed as solutions for each scenario. In this paper, the author reviewed the approach of graphic coloring technique which was studied recently and explained the strategy of central approach.

Lower layer implementation of a fieldbus network interface (Fieldbus 네트워크 접속기의 하위계층 구현)

  • 김현기;이전우;황선호;이혁희;채영도
    • 제어로봇시스템학회:학술대회논문집
    • /
    • 1991.10a
    • /
    • pp.337-341
    • /
    • 1991
  • Fieldbus is a low level serial digital network which will be used for factory automation. This paper describes lower layer implementation of a Fieldbus network interface. Physical layer provides hardware interface between IBM-PC and Fieldbus. Also, physical layer uses manchester coding, shielded twisted pair lines and RS-485 electrical standard. Data link layer includes Intel's iDCX96 real time executive for 8797 one chip microcontroller and Fieldbus data link protocol software.

  • PDF

Study of Collective Synchronous Dynamics in a Neural Network Model

  • Cho, Myoung Won
    • Journal of the Korean Physical Society
    • /
    • v.73 no.9
    • /
    • pp.1385-1392
    • /
    • 2018
  • A network with coupled biological neurons provides various forms of collective synchronous dynamics. Such phase-locking dynamics states resemble eigenvectors in a linear coupling system in that the forms are determined by the symmetry of the coupling strengths. However, the states behave as attractors in a nonlinear dynamics system. We here study the collective synchronous dynamics in a neural system by using a novel theory. We exhibit how the period and the stability of individual phase-locking dynamics states are determined by the characteristics of synaptic couplings. We find that, contrary to common sense, the firing rate of a synchronized state decreases with increasing synaptic coupling strength.

A study on the Strategy of Fashion and Beauty Industry Using Ubiquitous Network (유비쿼터스 네트워크를 이용한 패션뷰티산업 전략에 관한 연구)

  • Lee, Yong-Il;Lee, Ae-Soon
    • Journal of the Korean Society of Fashion and Beauty
    • /
    • v.6 no.1
    • /
    • pp.16-20
    • /
    • 2008
  • Ubiquitous computing which is called, the innovation of the 21st Century is a core technology of next generation. RFID technology is noticed, and physical distribution, home network, telematics, like industry automatization are developed by using various technique. Particulary, They use RFID technology for fashion and beauty industry, So, supplying network management, physical distribution management and warehouse management are investigated for the automatization. What we have investigated so far, a traceability system is made of ubiquitous sensor network for monitoring fashion and beauty industry environment. The proposed system using EPC network can provide information of industrial products traceability quickly and efficiently. Moreover, this system with RFID Technology gives intelligence of distribution and record. In this paper, We recommend the vision of Ubiquitous convergence of fashion and beauty industry.

  • PDF

A Framework of the Consumer's Continuous Usage Decision of High Technology Products (첨단기술제품에 대한 소비자의 지속적 사용결정의 프레임워크)

  • 현정석
    • Journal of the Korea Safety Management & Science
    • /
    • v.1 no.1
    • /
    • pp.217-230
    • /
    • 1999
  • The prevalent phenomenon in the high technology market shows market-determined do facto standard is preferred to de jure standard determined by formal organization. The purpose of the study is to provide a framework to empirically examine the relationship between network externalities and switching costs from the consumer's point of view Key findings of the study are : First, physical compatibility and upgradability are positively related to the network externalities. Second, conceptual compatibility and expertise are negatively related to the switching costs. Third, the network externalities and the switching costs are positively related to the continuous usage decision. Finally, the network externalities are positively related to the switching costs. The followings are major implications of the study. First, network externalities and bandwagon effects have different causal relationship respectively. Second, contrast to Weiss and Heide's (1993) study, the study suggests multiple dimensions of compatibility, Third, physical compatibility and upgradability increase switching costs through network externalities as the moderator.

  • PDF

Examination of Required Functions in the PBNM Scheme for Multiple Domains as Cyber Physical System that Utilizes Data Science and AI

  • Kazuya Odagiri;Shogo Shimizu;Naohiro Ishii
    • International Journal of Computer Science & Network Security
    • /
    • v.23 no.2
    • /
    • pp.31-38
    • /
    • 2023
  • In the current Internet system, there are many problems using anonymity of the network communication such as personal information leaks and crimes using the Internet system. This is why TCP/IP protocol used in Internet system does not have the user identification information on the communication data, and it is difficult to supervise the user performing the above acts immediately. As a study for solving the above problem, there is the study of Policy Based Network Management (PBNM). This is the scheme for managing a whole Local Area Network (LAN) through communication control for every user. In this PBNM, two types of schemes exist. As one scheme, we have studied theoretically about the Destination Addressing Control System (DACS) Scheme with affinity with existing internet. By applying this DACS Scheme to Internet system management, we will realize the policy-based Internet system management. In this paper, required functions in the PBNM Scheme for multiple domains as cyber physical system that utilizes data science and AI is examined.

Neighborhood Environment Associated with Physical Activity among Rural Adults: Applying Zero-Inflated Negative Binominal Regression Modeling (영과잉 음이항 회귀모형을 적용한 농촌지역 성인 신체활동의 지역사회환경 요인 분석)

  • Kim, Bongjeong
    • Journal of Korean Public Health Nursing
    • /
    • v.29 no.3
    • /
    • pp.488-502
    • /
    • 2015
  • Purpose: This study was conducted to determine the neighborhood environmental factors associated with physical activity among adults living in rural communities. Methods: A cross-sectional descriptive survey was conducted with a convenience sample of 201 adults living in three Ri in Y-city, Gyeonggi-do. Data were collected from face-to-face interview by trained interviewers and were analyzed using a zero-inflated negative binominal regression model. Results: Participants reported engaged in moderate or vigorous physical activity was 76.1%; 10.5% of participants reported that they met moderate physical activity recommendations and 14.5% of participants reported that they met vigorous physical activity recommendations. Zero-inflated negative binominal regression analysis showed association of increasing days of physical activity with social cohesion (${\beta}=.130$, p=.005), social network (${\beta}=-.096$, p=.003), and safety for crime (${\beta}=-.151$, p=.036), and no days of physical activity was associated with no attainment of education and marginally associated with increasing BMI. Conclusion: Neighborhood environmental factors including social cohesion, social network, and crime for safety were significantly associated with physical activity of rural adults. Community health nurses should expand an approach for individual behavior change to incorporate rural adults' specific neighborhood environmental factors into physical activity interventions.

Real-time RL-based 5G Network Slicing Design and Traffic Model Distribution: Implementation for V2X and eMBB Services

  • WeiJian Zhou;Azharul Islam;KyungHi Chang
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • v.17 no.9
    • /
    • pp.2573-2589
    • /
    • 2023
  • As 5G mobile systems carry multiple services and applications, numerous user, and application types with varying quality of service requirements inside a single physical network infrastructure are the primary problem in constructing 5G networks. Radio Access Network (RAN) slicing is introduced as a way to solve these challenges. This research focuses on optimizing RAN slices within a singular physical cell for vehicle-to-everything (V2X) and enhanced mobile broadband (eMBB) UEs, highlighting the importance of adept resource management and allocation for the evolving landscape of 5G services. We put forth two unique strategies: one being offline network slicing, also referred to as standard network slicing, and the other being Online reinforcement learning (RL) network slicing. Both strategies aim to maximize network efficiency by gathering network model characteristics and augmenting radio resources for eMBB and V2X UEs. When compared to traditional network slicing, RL network slicing shows greater performance in the allocation and utilization of UE resources. These steps are taken to adapt to fluctuating traffic loads using RL strategies, with the ultimate objective of bolstering the efficiency of generic 5G services.

Co-occurrence Network Analysis of Keywords in Geriatric Frailty

  • Kim, Youngji;Jang, Soong-nang;Lee, Jung Lim
    • Research in Community and Public Health Nursing
    • /
    • v.29 no.4
    • /
    • pp.429-439
    • /
    • 2018
  • Purpose: The aim of this study is to identify core keyword of frailty research in the past 35 years to understand the structure of knowledge of frailty. Methods: 10,367 frailty articles published between 1981 and April 2016 were retrieved from Web of Science. Keywords from these articles were extracted using Bibexcel and social network analysis was conducted with the occurrence network using NetMiner program. Results: The top five keywords with a high frequency of occurrence include 'disability', 'nursing home', 'sarcopenia', 'exercise', and 'dementia'. Keywords were classified by subheadings of MeSH and the majority of them were included under the healthcare and physical dimensions. The degree centralities of the keywords were arranged in the order of 'long term care' (0.55), 'gait' (0.42), 'physical activity' (0.42), 'quality of life' (0.42), and 'physical performance' (0.38). The betweenness centralities of the keywords were listed in the order of depression' (0.32), 'quality of life' (0.28), 'home care' (0.28), 'geriatric assessment' (0.28), and 'fall' (0.27). The cluster analysis shows that the frailty research field is divided into seven clusters: aging, sarcopenia, inflammation, mortality, frailty index, older people, and physical activity. Conclusion: After reviewing previous research in the 35 years, it has been found that only physical frailty and frailty related to medicine have been emphasized. Further research in psychological, cognitive, social, and environmental frailty is needed to understand frailty in a multifaceted and integrative manner.

On the Application of Channel Characteristic-Based Physical Layer Authentication in Industrial Wireless Networks

  • Wang, Qiuhua;Kang, Mingyang;Yuan, Lifeng;Wang, Yunlu;Miao, Gongxun;Choo, Kim-Kwang Raymond
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • v.15 no.6
    • /
    • pp.2255-2281
    • /
    • 2021
  • Channel characteristic-based physical layer authentication is one potential identity authentication scheme in wireless communication, such as used in a fog computing environment. While existing channel characteristic-based physical layer authentication schemes may be efficient when deployed in the conventional wireless network environment, they may be less efficient and practical for the industrial wireless communication environment due to the varying requirements. We observe that this is a topic that is understudied, and therefore in this paper, we review the constructions and performance of several commonly used test statistics and analyze their performance in typical industrial wireless networks using simulation experiments. The findings from the simulations show a number of limitations in existing channel characteristic-based physical layer authentication schemes. Therefore, we believe that it is a good idea to combine machine learning and multiple test statistics for identity authentication in future industrial wireless network deployment. Four machine learning methods prove that the scheme significantly improves the authentication accuracy and solves the challenge of choosing a threshold.