• Title/Summary/Keyword: PNC

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Properties of Polymer Nanocomposites Useful for Dental Restoration (치아수복용 고분자 나노복합체의 물성)

  • Kim, Ohyoung;Han, Sanghyuk;Seo, Kitaek;Gong, Myoung-Seon;Kim, Chang-Keun;Lim, Bum-Soon;Cho, Byeong-Hoon
    • Applied Chemistry for Engineering
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    • v.16 no.3
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    • pp.422-426
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    • 2005
  • Visible-light activated polymer nanocomposites (PNC) were designed to be used for dental restoration. Hybrid-filler composed of barium silicate and nano-sized silica was adopted as a filler system. To improve the interfacial be havior of the resin matrix of bisphenol A glycerolate methacrylate/triethyleneglycol dimethacrylate, the surface of filler was hydrophobically treated with a silane coupling agent. Mechanical properties of PNC were investigated by measuring the abrasion resistance, and it was discovered that PNC showed excellent properties with an increase of nanofiller content. However, the polymerization shrinkage was consistently maintained under 3 vol% and the shrinkage continued even after photo-polymerization. In addition, a slight color difference between PNC specimens was observed with increase of nanofiller content.

Analysis of Students' Cognition for Enrichment Mathematics Textbook Tasks' Levels of Cognitive Demand (심화수학 교과서 과제의 인지적 노력수준에 대한 학생 인식 분석)

  • Jung, Hye Yu;Lee, Kyeong-Hwa
    • Journal of Educational Research in Mathematics
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    • v.27 no.4
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    • pp.615-637
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    • 2017
  • The purpose of this study is to analyze the actual realization of the opportunity to learn given to students by examining students' cognition for enrichment mathematics textbook tasks' levels of cognitive demand. First, we analyze characteristics and limitations based on the theoretical framework. Second, we examine students' cognition about the distribution of the mathematics textbook tasks' levels of cognitive demand. And we analyze how the opportunity to learn actually work. Third, in the sense that enrichment textbooks are textbooks for science school students, we analyze whether the opportunity to learn for gifted is offered. The conclusion is as follows: First, with respect to levels of cognitive demand, PNC tasks account most. Second, students also cognize that PNC tasks account most. Third, tasks for gifted are not offered and students also cognize that opportunity to learn for gifted is lacked.

Periodic and Pseudo-static Channel Time Allocation Scheme for IEEE 802.15.3 High-Rate Wireless PANs (IEEE 802.15.3 고속율 무선 팬을 위한 주기적인 유사 정적 채널 시간 할당 방법)

  • Kim, Sun-Myeong
    • Journal of the Korea Society for Simulation
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    • v.17 no.4
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    • pp.89-97
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    • 2008
  • In wireless personal area networks (WPANs), the successful design of channel time allocation algorithm is a key factor in guaranteeing the various quality of service (QoS) requirements for the stringent real-time constraints of multimedia services. In this paper we propose a channel time allocation algorithm for achieving a high quality transmission and high channel error tolerance of MPEG stream in the IEEE 802.15.3 high-rate wireless PANs. Our algorithm exploits the characteristics of MPEG stream. When a new MPEG stream arrives, a DEV models it by the traffic envelope and delivers the traffic envelope to the piconet coordinator (PNC) along with the channel time request. The PNC performs channel time allocation according to the envelope. Performance of the proposed scheme is investigated by simulation and analysis. Our results show that compared to conventional scheme, the proposed scheme is very effective and provides a good performance under typical channel error conditions.

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Optimal Energy-Efficient Power Allocation and Outage Performance Analysis for Cognitive Multi-Antenna Relay Network Using Physical-Layer Network Coding

  • Liu, Jia;Zhu, Ying;Kang, GuiXia;Zhang, YiFan
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.7 no.12
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    • pp.3018-3036
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    • 2013
  • In this paper, we investigate power allocation scheme and outage performance for a physical-layer network coding (PNC) relay based secondary user (SU) communication in cognitive multi-antenna relay networks (CMRNs), in which two secondary transceivers exchange their information via a multi-antenna relay using PNC protocol. We propose an optimal energy-efficient power allocation (OE-PA) scheme to minimize total energy consumption per bit under the sum rate constraint and interference power threshold (IPT) constraints. A closed-form solution for optimal allocation of transmit power among the SU nodes, as well as the outage probability of the cognitive relay system, are then derived analytically and confirmed by numerical results. Numerical simulations demonstrate the PNC protocol has superiority in energy efficiency performance over conventional direct transmission protocol and Four-Time-Slot (4TS) Decode-and-Forward (DF) relay protocol, and the proposed system has the optimal outage performance when the relay is located at the center of two secondary transceivers.

친환경 고에너지 물질로서의 금속-질소 클러스터 화합물의 안정성 예측

  • Choe, Chang-Hyeok;Jeong, Yu-Seong
    • Proceeding of EDISON Challenge
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    • 2015.03a
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    • pp.147-150
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    • 2015
  • Polynitrogen Compounds (PNC)는 질소만으로 이루어진 물질을 칭하며, 주로 질소간의 단일 결합과 이중결합으로 이루어져 있다. 질소 간 단일결합에너지 38.4kcal/mole에 비해 유난히 큰 229kcal/mole의 삼중결합 에너지 덕택에 PNC는 고에너지 물질로 큰 각광을 받고 있다. PNC는 합성과정이 큰 흡열반응으로 실험이 까다로워 이론적인 연구가 많이 진행되어왔다. 그 중에서 고리형태의 $N_5{^-}$가 안정할 것으로 예측되며, 실험적으로도 발견되었다. $N_5{^-}$를 안정화시키기 위해 많은 연구가 진행되었으며 그 중 하나가 금속과의 결합을 통한 화합물의 안정화이다. 본 연구에서는 $N_5{^-}$와 Cyclopentadienyl($C_5H_5{^-}$)이 전자구조나 기하학적 구조가 매우 유사함에 착안하여 이미 상대적으로 많은 합성이 보고되어 있는 $M(C_5H_5)_3$, $M(C_5H_5)_4$의 전이금속 M구조에 대하여 아직 발견되지 않은 $M(N_5)_3$, $M(N_5)_4$ 화합물의 구조와 열역학적 안정성을 알아보도록 한다. 본 연구에서 찾아진 $Zr(C_5H_5)_4$은 현재까지 실험적으로 보고된 $M(C_7H_7)(C_5H_5)$ 클러스터 구조에 비해 질소함유량이 약 67% 더 높다.

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Virtual Resource Allocation in Virtualized Small Cell Networks with Physical-Layer Network Coding Aided Self-Backhauls

  • Cheng, Yulun;Yang, Longxiang;Zhu, Hongbo
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.8
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    • pp.3841-3861
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    • 2017
  • Virtualized small cell network is a promising architecture which can realize efficient utilization of the network resource. However, conventional full duplex self-backhauls lead to residual self-interference, which limits the network performance. To handle this issue, this paper proposes a virtual resource allocation, in which the residual self-interference is fully exploited by employing a physical-layer network coding (PNC) aided self-backhaul scheme. We formulate the features of PNC as time slot and information rate constraints, and based on that, the virtual resource allocation is formulated as a mixed combinatorial optimization problem. To solve the problem efficiently, it is decomposed into two sub problems, and a two-phase iteration algorithm is developed accordingly. In the algorithm, the first sub problem is approximated and transferred into a convex problem by utilizing the upper bound of the PNC rate constraint. On the basis of that, the convexity of the second sub problem is also proved. Simulation results show the advantages of the proposed scheme over conventional solution in both the profits of self-backhauls and utility of the network resource.