• Title/Summary/Keyword: single network

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Design of a Partitionable Single-Stage Shuffle-Exchange Network (분할 가능한 단단계(Single-Stage) Shuffle-Exchange 네트워크의 설계)

  • Lee, Jae-Dong
    • Journal of KIISE:Computer Systems and Theory
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    • v.30 no.3_4
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    • pp.130-137
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    • 2003
  • This paper presents the problem of partitioning the Single-Stage Shuffle-Exchange Network(SSEN). An algorithm, named SSEN_to_PSEN, is devised to transform an SSEN into a Partitionable Shuffle-Exchange Network (PSEN). The proposed algorithm presents that the SSEN can be partitioned into independent sub-networks without additional links for N $\leq$ 8. Additional links are needed in order to partition an SSEN, but only when N $\geq$ 16. The running time of the algorithm SSEN_to_PSEN is $\theta$(NlogN). By comparing with a hypercube network, the PSEN is less expensive than a hypercube network even when some additional links are added. By partitioning, a large PSEN in a massively parallel machine can compute various problems for multiple users simultaneously, thereby the processing efficiency of the machine is improved.

Single-channel Demodulation Algorithm for Non-cooperative PCMA Signals Based on Neural Network

  • Wei, Chi;Peng, Hua;Fan, Junhui
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.7
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    • pp.3433-3446
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    • 2019
  • Aiming at the high complexity of traditional single-channel demodulation algorithm for PCMA signals, a new demodulation algorithm based on neural network is proposed to reduce the complexity of demodulation in the system of non-cooperative PCMA communication. The demodulation network is trained in this paper, which combines the preprocessing module and decision module. Firstly, the preprocessing module is used to estimate the initial parameters, and the auxiliary signals are obtained by using the information of frequency offset estimation. Then, the time-frequency characteristic data of auxiliary signals are obtained, which is taken as the input data of the neural network to be trained. Finally, the decision module is used to output the demodulated bit sequence. Compared with traditional single-channel demodulation algorithms, the proposed algorithm does not need to go through all the possible values of transmit symbol pairs, which greatly reduces the complexity of demodulation. The simulation results show that the trained neural network can greatly extract the time-frequency characteristics of PCMA signals. The performance of the proposed algorithm is similar to that of PSP algorithm, but the complexity of demodulation can be greatly reduced through the proposed algorithm.

The Social Support Network of Divorced Single Mother Families (이혼한 여성 한부모가족의 사회관계망 지원에 대한 탐색적 접근)

  • 옥선화;최새은;권소영;강유진
    • Journal of Families and Better Life
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    • v.22 no.1
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    • pp.181-191
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    • 2004
  • The purpose of this study was to examine the social support network for divorced single mother families. The data were gathered through in-depth interviews with seven divorced single mothers who had at least one school-age child. Qualitative analysis of data showed that divorced single mothers evaluated themselves based on other people's perception. There were mainly three different kinds of self-images, which were “a competent divorced woman,” “a bad child to my parents,” and “a socially weak person.” We also found that there were two factors that influenced the everyday lives of single mothers: all of them .;offered hardships in living as a divorced woman with children, and they also had to deal with the weakened solidarity with family of origin, relatives, and neighbors. Single mothers shared common problems yet their lifestyles and adjustment strategies were diverse. Therefore, diverse social welfare policies for education and counseling for single mothers are urgently needed to support and empower divorced single mothers.

Single Relay Selection for Bidirectional Cooperative Networks with Physical-Layer Network Coding

  • Liu, Yingting;Zhang, Hailin;Hui, Leifang;Liu, Quanyang;Lu, Xiaofeng
    • ETRI Journal
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    • v.34 no.1
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    • pp.102-105
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    • 2012
  • To serve the growing demand of the bidirectional information exchange, we propose a single relay selection (RS) scheme for physical-layer network coding (PNC) in a bidirectional cooperative network consisting of two sources and multiple relays. This RS scheme selects a single best relay by maximizing the bottleneck of the capacity region of both information flows in the bidirectional network. We show that the proposed RS rule minimizes the outage probability and that it can be used as a performance benchmark for any RS rules with PNC. We derive a closed-form exact expression of the outage probability for the proposed RS rule and show that it achieves full diversity gain. Finally, numerical results demonstrate the validity of our analysis.

Veritical Partitioning of Broadcast and Group Translation Table in an Extendible Copy Network) (확장 가능한 복사망에서 방송 및 그룹 변환 테이블의 수직 분할)

  • 권택근;이광용
    • Journal of the Korean Institute of Telematics and Electronics A
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    • v.32A no.12
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    • pp.1-8
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    • 1995
  • In this paper, we propose an extendible copy network in a large-scale ATM switch consisting of small switch modules implementable on a single VLSI chip or a single PCB. Considering multicasting switches consist of a copy network and a routing network, there exist broadcast and group translators (BGT) which assign the destination addresses into copied cells. The BGT table can be reduced by vertical partitioning method; copied cells are translated in adjacent BGTs and each BGT table has a single destination address per connection. In addition, the distribution network routes and copies incomming cells into several groups statically which are translated into consecutive BGTs. This guarantees the integrity of cell sequences. Connection-setup time as well as the BGT table size can be reduced significantly.

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The Effects of Social Exclusion and Social Network on Parental Attitude and Behavior of Adolescents Female Single Parent - To Investigate Moderating Effects of Public Support for Single-parent Family - (청소년 여성 한부모의 사회적 배제와 사회적 관계망이 양육 태도 및 행동에 미치는 영향: 한부모가족 정책 지원의 조절효과)

  • Lee, Yoon-Jung
    • Korean Journal of Family Social Work
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    • no.57
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    • pp.125-157
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    • 2017
  • The purpose of this study was to analyse effects of public support for single-parent family for adolescent single-parent who experienced social exclusion and social network. This study utilized a part of National Youth Policy Institute's 'Research on the Actual Condition of the Adolescent Pregnancy, Birth and Rearing Children'. Participants of the study were 262 adolescent single-parents at the age of 24 and below. In order to understand the effect, this study verified the moderating effect of public support for single-parent family in the context of social exclusion and social network on parental attitude and behavior(parenting efficacy, parenting stress, negative parenting behavior). Results of this study are as follows; First, Nearly half of adolescent single-parent has economic hardship in original family and most they lived with preschool children on unemployed state that the average monthly income of them was about 600,000 won. It means that their financial independence difficult. Second, family support was only significant factor for parenting efficacy and positive relationship with family and acquaintances was major influence factor for causing positive parental behavior of adolescent single-parent. As a result, social network was verified more important factor than social exclusion on parental attitude and behavior. Lastly, public support for single-parent family was confirmed as social mitigation mechanism that has the moderating effect of social exclusion and social network on parental attitude and behavior.

In-Vehicle Network Technologies (차량 내 네트워크 기술)

  • Lee, Seongsoo
    • Journal of IKEEE
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    • v.22 no.2
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    • pp.518-521
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    • 2018
  • IVN (in-vehicle network) connects various electronic modules in the vehicles. It requires real-time, low noise, high reliability, and high flexibility. It includes CAN (controller area network), CAN-FD (CAN flexible data rate), FlexRay, LIN (local interconnect network), SENT (single edge nibble transmission), and PSI5 (peripheral sensor interface 5). In this paper, their operation priciples, target applications, and pros and cons are explained.

The Effect of Interpenetrating Polymer Network upon Tracking Resistance of Epoxy Composite Materials (에폭시 복합재료의 내트래킹성에 미치는 상호침입망목의 효과)

  • 김탁용;이덕진;손인환;김명호;김경환;김재환
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 1996.11a
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    • pp.225-229
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    • 1996
  • In this study, in order to develop outdoor insulating materials, SIN(simultaneous interpenetrating polymer network) was introduced to Epoxy resin and the environment resistance was investigated. The single network structure specimen(E series) formed of Epoxy resin alone and simultaneous interpenetrating polymer network specimen (EM series) in which epoxy resin was taken as the first network and methyl methacrylate resin as the second network were manufactured. Ten kinds of specimens were manufacture by filler (SiO$_2$) content. SEM were utilized in order to confirm their network structure changes, and AC voltage dielectric strength was measured. Also, UV-test and tracking test were carried out investigate the environment resistance characteristic. Therefore the variations of network structure were happened as a result of SEM test, and it was confirmed that simultaneous interpenetrating polymer network specimens were more excellent than single network structure specimens.

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A study on the AC dielectric breakdown characteristics and mechanical characteristics of interpenetraing polymer network epoxy composites (상호침입망목 에폭시 복합재료의 교류절연파괴 특성 및 기계적 특성에 관한 연구)

  • 손인환;이덕진;김명호;김경환;김재환
    • Electrical & Electronic Materials
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    • v.9 no.7
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    • pp.702-707
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    • 1996
  • In this paper, in order to improve the withstand voltage properties of epoxy resin, IPN(interpenetrating polymer network) method was introduced and the influence was investigated. The single network structure specimen(E series), simultaneous interpenetrating polymer network specimen(EM series) and pseudo interpenetrating polymer network(EMP series) specimen were manufactured. In order to understand the internal structure properties, scanning electron microscopy method was utilized, and glass transition temperature was measured. Also, AC voltage dielectric breakdown strength, tensile strength and impact strength were measured to investigate the influence upon electrical and mechanical properties. As a result, it was confirmed that simultaneous interpenetrating polymer network specimen was the most execellent.

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SDCN: Synchronized Depthwise Separable Convolutional Neural Network for Single Image Super-Resolution

  • Muhammad, Wazir;Hussain, Ayaz;Shah, Syed Ali Raza;Shah, Jalal;Bhutto, Zuhaibuddin;Thaheem, Imdadullah;Ali, Shamshad;Masrour, Salman
    • International Journal of Computer Science & Network Security
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    • v.21 no.11
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    • pp.17-22
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    • 2021
  • Recently, image super-resolution techniques used in convolutional neural networks (CNN) have led to remarkable performance in the research area of digital image processing applications and computer vision tasks. Convolutional layers stacked on top of each other can design a more complex network architecture, but they also use more memory in terms of the number of parameters and introduce the vanishing gradient problem during training. Furthermore, earlier approaches of single image super-resolution used interpolation technique as a pre-processing stage to upscale the low-resolution image into HR image. The design of these approaches is simple, but not effective and insert the newer unwanted pixels (noises) in the reconstructed HR image. In this paper, authors are propose a novel single image super-resolution architecture based on synchronized depthwise separable convolution with Dense Skip Connection Block (DSCB). In addition, unlike existing SR methods that only rely on single path, but our proposed method used the synchronizes path for generating the SISR image. Extensive quantitative and qualitative experiments show that our method (SDCN) achieves promising improvements than other state-of-the-art methods.