• Title/Summary/Keyword: Hierarchical Networks

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Development of an Intelligent Security Robot System for Home Surveillance (가정용 지능형 경비 로봇 시스템 개발)

  • Park, Jeong-Ho;Shin, Dong-Gwan;Woo, Chun-Kyu;Kim, Hyung-Chul;Kwon, Yong-Kwan;Choi, Byoung-Wook
    • Journal of Institute of Control, Robotics and Systems
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    • v.13 no.8
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    • pp.810-816
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    • 2007
  • A security robot system named EGIS-SR is a mobile security robot through one of the new growth engine project in robotic industries. It allows home surveillance through an autonomous mobile platform using onboard cameras and wireless security sensors. EGIS-SR has many sensors to allow autonomous navigation, hierarchical control architecture to handle lots of situations in monitoring home surveillance and mighty networks to achieve unmanned security services. EGIS-SR is tightly coupled with a networked security environment, where the information of the robot is remotely connected with the remote cockpit and patrol man. It achieved an intelligent unmanned security service. The robot is a two-wheeled mobile robot and has casters and suspension to overcome a doorsill. The dynamic motion is verified through $ADAMS^{TM}$ simulation. For the main controller, PXA270 based hardware platform based on linux kernel 2.6 is developed. In the linux platform, data handling for various sensors and the localization algorithm are performed. Also, a local path planning algorithm for object avoidance with ultrasonic sensors and localization using $StarGazer^{TM}$ is developed. Finally, for the automatic charging, a docking algorithm with infrared ray system is implemented.

A Preliminary Study on Presentation Techniques of Traffic Guide Maps (교통안내지도 표현기법에 관한 기초연구)

  • Kim, Dong-Nyeong;Park, Jeong-Min
    • Journal of Korean Society of Transportation
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    • v.25 no.4
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    • pp.33-42
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    • 2007
  • This study analyzes presentation methods of traffic guide maps to guide drivers easily and correctly to their destinations on complex road networks. The problems of Korea's guidance systems were analyzed and domestic and international road guide maps were compared. This study includes the problems of road number discernment, such as the sizes, colors and marking intervals on the map. The widths and colors of different hierarchical roads were evaluated. The indices, enlarged downtown maps and uncertainty of grade separation on the map were analyzed and the solutions were also provided.

Methods for an application of real-time network control on distributed storage facilities (분산형 저류시설의 실시간 네트워크 제어기술 적용시 고려 사항)

  • Beak, Hyunwook;Ryu, Jaena;Oh, Jeill;Kim, Tae-Hyoung
    • Journal of Korean Society of Water and Wastewater
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    • v.27 no.6
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    • pp.711-721
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    • 2013
  • Optimal operation of a combined sewer network with distributed storage facilities aims to use the whole retention capacity of all reservoirs efficiently before overflows take place somewhere in the considered network system. An efficient real-time network control (RTNC) strategy has been emerging as an attractive approach for reducing substantially the overflows from a sewer network compared to the conventional fixed or manually adjusted gate setting method, but the related concrete framework for RTC development has not been throughly introduced so far. The main goal of this study is to give a detailed description of the RTNC systems via reviewing several guidelines published abroad, and finally to suggest methods for the proper application of RTNC on distributed storage facilities. Especially, this study is focused on emphasizing the importance of hierarchical structure of RTNC system that consists of three control layers (management, global control and local control). Further, with regard to the global control layer which is responsible for the central overall network control, the wide-ranging details of two components (adaption and optimization layers) are also presented. This study can provide the valuable basis for the RTNC implementation in the particular sewer network with distributed multiple storage facilities.

Direct and Indirect Effects of Older Adults' Use of Online Communities on Socialization and Social Isolation (노령층의 온라인 커뮤니티 이용이 사회화와 사회적 고립감에 미치는 직·간접 효과)

  • Cho, Jaehee;Cho, Haeyoung
    • Journal of Internet Computing and Services
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    • v.18 no.2
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    • pp.97-104
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    • 2017
  • This study explored the potential associations among older adults' online community uses, socialization, and social isolation. Results from the hierarchical regression analysis indicated that the quality and size of personal networks composed of online community members positively influences older adults' socialization and reduces social isolation. However, the frequency of meeting with online community members in offline settings was not significantly associated with socialization. Moreover, the amount of time using online communities indirectly and significantly affected social isolation, mediated by socialization. Results from this study address the positive roles of online community uses in overcoming psychological difficulties among elderly people.

A Hierarchical Context Dissemination Framework for Managing Federated Clouds

  • Famaey, Jeroen;Latre, Steven;Strassner, John;Turck, Filip De
    • Journal of Communications and Networks
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    • v.13 no.6
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    • pp.567-582
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    • 2011
  • The growing popularity of the Internet has caused the size and complexity of communications and computing systems to greatly increase in recent years. To alleviate this increased management complexity, novel autonomic management architectures have emerged, in which many automated components manage the network's resources in a distributed fashion. However, in order to achieve effective collaboration between these management components, they need to be able to efficiently exchange information in a timely fashion. In this article, we propose a context dissemination framework that addresses this problem. To achieve scalability, the management components are structured in a hierarchy. The framework facilitates the aggregation and translation of information as it is propagated through the hierarchy. Additionally, by way of semantics, context is filtered based on meaning and is disseminated intelligently according to dynamically changing context requirements. This significantly reduces the exchange of superfluous context and thus further increases scalability. The large size of modern federated cloud computing infrastructures, makes the presented context dissemination framework ideally suited to improve their management efficiency and scalability. The specific context requirements for the management of a cloud data center are identified, and our context dissemination approach is applied to it. Additionally, an extensive evaluation of the framework in a large-scale cloud data center scenario was performed in order to characterize the benefits of our approach, in terms of scalability and reasoning time.

Hierarchical Dynamic Spectrum Management for Providing Network-wise Fairness in 5G Cloud RAN (5G Cloud RAN에서 네트워크 공평성 향상을 위한 계층적 적응 스펙트럼 관리 방법)

  • Jo, Ohyun
    • Journal of Convergence for Information Technology
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    • v.10 no.7
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    • pp.1-6
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    • 2020
  • A new resource management algorithm is proposed for 5G networks which have a coordinated network architecture. By sharing the contol information among multiple neighbor cells and managing in centralized structure, the propsed algorithm fully utilizes the benefits of network coordination to increase fairness and throughput at the same time. This optimization of network performance is achieved while operating within a tolerable amount of signaling overhead and computational complexity. Simulation results confirm that the proposed scheme improve the network capacity up to 40% for cell edge users and provide network-wise fairness as much as 23% in terms of the well-knwon Jain's Fainess Index.

VS3-NET: Neural variational inference model for machine-reading comprehension

  • Park, Cheoneum;Lee, Changki;Song, Heejun
    • ETRI Journal
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    • v.41 no.6
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    • pp.771-781
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    • 2019
  • We propose the VS3-NET model to solve the task of question answering questions with machine-reading comprehension that searches for an appropriate answer in a given context. VS3-NET is a model that trains latent variables for each question using variational inferences based on a model of a simple recurrent unit-based sentences and self-matching networks. The types of questions vary, and the answers depend on the type of question. To perform efficient inference and learning, we introduce neural question-type models to approximate the prior and posterior distributions of the latent variables, and we use these approximated distributions to optimize a reparameterized variational lower bound. The context given in machine-reading comprehension usually comprises several sentences, leading to performance degradation caused by context length. Therefore, we model a hierarchical structure using sentence encoding, in which as the context becomes longer, the performance degrades. Experimental results show that the proposed VS3-NET model has an exact-match score of 76.8% and an F1 score of 84.5% on the SQuAD test set.

Effects of High School Student' Educational Experience and Expected Benefits on the Participation Intention of Collaborative Consumption (고등학생의 협력적 소비에 대한 교육경험과 기대 혜택이 참여 의도에 미치는 영향)

  • Jung, Joowon;Choi, Kyoungsook
    • Human Ecology Research
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    • v.55 no.4
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    • pp.351-362
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    • 2017
  • Collaborative consumption (CC) occurs in organized systems or networks in which participants conduct sharing activities in the form of renting, lending, trading, bartering, and swapping of goods, services, transportation solutions, space, or money. Information and communications technologies (ICTs) that have emerged with CC. CC is expected to alleviate social problems such as hyper-consumption, pollution, and poverty by lowering the cost of economic coordination. In this study, we investigate the influence of educational experience and expected benefits of CC participation (intended to using and providing CC) of Adolescent Consumers. The subjects for the study were 418 high school students. Data was analyzed through frequency analysis, mean, standard deviation, t-test, ANOVA, Pearson's correlation, and hierarchical multiple regression analysis using SPSS Win 21.0. The results of this study are as follows. First, the significant positive relationship found between CC participants (intent to use and provide CC), educational experience (home education, school education, and mass media) and expected benefits (social benefit, economic benefit, enjoyment, community effect, and reputation). Second, enjoyment, mass media, reputation, social benefit, home education and school education values were variables that influenced the using participation intention for CC. Third, the major variables influencing the providing participation intention CC were home education, enjoyment, gender, community effect, and mass media values.

An Analytical Evaluation of 2D Mesh-connected SIMD Architecture for Parallel Matrix Multiplication (2D Mesh SIMD 구조에서의 병렬 행렬 곱셈의 수치적 성능 분석)

  • Kim, Cheong-Ghil
    • Journal of The Institute of Information and Telecommunication Facilities Engineering
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    • v.10 no.1
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    • pp.7-13
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    • 2011
  • Matrix multiplication is a fundamental operation of linear algebra and arises in many areas of science and engineering. This paper introduces an efficient parallel matrix multiplication scheme on N ${\times}$ N mesh-connected SIMD array processor, called multiple hierarchical SIMD architecture (HMSA). The architectural characteristic of HMSA is the hierarchically structured control units which consist of a global control unit, N local control units configured diagonally, and $N^2$ processing elements (PEs) arranged in an N ${\times}$ N array. PEs are communicating through local buses connecting four adjacent neighbor PEs in mesh-torus networks and global buses running across the rows and columns called horizontal buses and vertical buses, respectively. This architecture enables HMSA to have the features of diagonally indexed concurrent broadcast and the accessibility to either rows (row control mode) or columns (column control mode) of 2D array PEs alternately. An algorithmic mapping method is used for performance evaluation by mapping matrix multiplication on the proposed architecture. The asymptotic time complexities of them are evaluated and the result shows that paralle matrix multiplication on HMSA can provide significant performance improvement.

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HTSC and FH HTSC: XOR-based Codes to Reduce Access Latency in Distributed Storage Systems

  • Shuai, Qiqi;Li, Victor O.K.
    • Journal of Communications and Networks
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    • v.17 no.6
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    • pp.582-591
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    • 2015
  • A massive distributed storage system is the foundation for big data operations. Access latency performance is a key metric in distributed storage systems since it greatly impacts user experience while existing codes mainly focus on improving performance such as storage overhead and repair cost. By generating parity nodes from parity nodes, in this paper we design new XOR-based erasure codes hierarchical tree structure code (HTSC) and high failure tolerant HTSC (FH HTSC) to reduce access latency in distributed storage systems. By comparing with other popular and representative codes, we show that, under the same repair cost, HTSC and FH HTSC codes can reduce access latency while maintaining favorable performance in other metrics. In particular, under the same repair cost, FH HTSC can achieve lower access latency, higher or equal failure tolerance and lower computation cost compared with the representative codes while enjoying similar storage overhead. Accordingly, FH HTSC is a superior choice for applications requiring low access latency and outstanding failure tolerance capability at the same time.