• Title/Summary/Keyword: Network diameter

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Link Analysis on Institutional Repository web Network of Indian Institute of Technologies Registered in open DOAR-uncovering Patterns and Trends Hidden in the Network

  • Kumar, Kutty
    • International Journal of Knowledge Content Development & Technology
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    • v.8 no.2
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    • pp.23-36
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    • 2018
  • Institutional repositories (IR) are promising to be extremely advantageous to scholars especially in developing countries. IR initiatives started in India during the late nineties and the popularity of this concept is growing rapidly in the higher educational and research institutions to disseminate newly emerging knowledge and expertise. The purpose of this paper is to critically analyze the network links of IR websites among four IITs that are registered in open DOAR (Directory of Open Access Repositories) web portal. The Institutional Repositories chosen for the study are IIT Delhi, IIT Hyderabad, IIT Bombay, and IIT Kanpur. The analysis of the study focused on standard graph and network cohesion metrics, such as density, diameter, eccentricity and distances, and clustering coefficient; for an even more detailed analysis advanced centrality measures and fast algorithms such as clique census are used.

Design Optimization of a Staggered Dimpled Channel Using Neural Network Techniques (신경회로망기법을 사용한 엇갈린 딤플 유로의 최적설계)

  • Shin, Dong-Yoon;Kim, Kwang-Yong
    • The KSFM Journal of Fluid Machinery
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    • v.10 no.3 s.42
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    • pp.39-46
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    • 2007
  • This study presents a numerical procedure to optimize the shape of staggered dimple surface to enhance turbulent heat transfer in a rectangular channel. The RBNN method is used as an optimization technique with Reynolds-averaged Navier-Stokes analysis of fluid flow and heat transfer with shear stress transport (SST) turbulence model. The dimple depth-to-dimple print diameter (d/D), channel height-to-dimple print diameter ratio (H/D), and dimple print diameter-to-pitch ratio (D/S) are chosen as design variables. The objective function is defined as a linear combination of heat transfer related term and friction loss related term with a weighting factor. Latin Hypercube Sampling (LHS) is used to determine the training points as a mean of the design of experiment. The optimum shape shows remarkable performance in comparison with a reference shape.

DESIGN OPTIMIZATION OF A STAGGERED DIMPLED CHANNEL TO ENHANCE TURBULENT HEAT TRANSFER (열전달성능 향상을 위한 엇갈린 딤플 유로의 최적설계)

  • Shin, D.Y.;Kim, K.Y.
    • 한국전산유체공학회:학술대회논문집
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    • 2007.04a
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    • pp.159-162
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    • 2007
  • This study presents a numerical procedure to optimize the shape of a staggered dimpled surface to enhance the turbulent heat transfer in a rectangular channel. A optimization technique based on neural network is used with Reynolds-averaged Navier-Stakes analysis of the fluid flow and heat transfer with Shear Stress Transport turbulence model. The dimple depth-to-dimple print diameter ratio, channel height-to-dimple print diameter ratio, and dimple print diameter-to-pitch ratio are chosen as design variables. The objective function is defined as a linear combination of terms related to heat transfer and friction loss with a weighting factor. Latin Hypercube Sampling is used to determine the training points as a mean of the Design of Experiment. Optimal values of the design variables were obtained in a range of the weighting factor.

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Analysis of Network Performance according to Topology diameter of LAN (LAN 환경에서 Topology diameter 에 따른 네트워크 성능분석)

  • Kim, Jin-Hee;Han, Seol-Heum;Kwon, Kyung-Hee
    • Proceedings of the Korea Information Processing Society Conference
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    • 2005.05a
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    • pp.1569-1572
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    • 2005
  • 인트라넷은 TCP 를 지원하는 기존의 LAN 환경에서 인터넷 기술을 그대로 채택하였다. 이는 인터넷 기반의 TCP Parameter 값을 그대로 인트라넷에 적용하였음을 의미하며 서로 다른 환경에서 같은 Parameter 값의 적용은 네트워크 성능 저하의 원인이 되기도 한다. 네트워크의 성능을 확인하는 방법으로 Rtt(Round Trip Time:응답시간)와 Thput(Throughput:처리률)이 있다. 이값은 전송 거리와 트래픽 양에 따라 다르게 나타난다. 따라서 본 논문에서는 LAN 기반으로 전송거리에 따른 즉, Topology diameter 와 TCP Parameter 와의 관계를 RTT 와 Thput 을 통해 분석해 보았다.

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Development of the Hydraulic Inspection Method for Irrigation Pipeline Systems (관수로 시스템 수리진단 기법 개발)

  • Kim, Young-Hwa;Park, Ji-Sung;Cheong, Byong-Ho
    • Proceedings of the Korean Society of Agricultural Engineers Conference
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    • 2003.10a
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    • pp.251-254
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    • 2003
  • For improving the flow capacity of pipeline system the hydraulic inspection method was developed conducting on-site with survey of pipeline facility such as diversion work, air vent, etc. and pipe network analysis. The pipe network analysis method determine pipe diameter with trial and error. The validity of the hydraulic inspection method proved adapting on S-district pipeline system.

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Design of an Isolator of High Power Laser-Amplifier Series-(II) (고출력 레이저-증폭기 계열의 Isolator 설계-(II))

  • 나승환
    • Proceedings of the Optical Society of Korea Conference
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    • 1989.02a
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    • pp.7-11
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    • 1989
  • A Faraday rotator is designed with the HOYA FR-5 rotator glass. We find that traveling light rotates 45$^{\circ}$in the glass when magnetic field intensity is about 3.0$\times$105AT/m. The current of 2.7KA flowing in the coil of the 0cm diameter, 29cm long and 41 windings generates this magnetic field. A pulse forming network is designed for this current of 84 sec duration. The network is analyzed numerically to find the relevant circuit parameters for the flattest current waveform.

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Development of a Pipe Network Fluid-Flow Modelling Technique for Porous Media based on Statistical Percolation Theory (통계적 확산이론에 기초한 다공질체의 유동관망 유동해석 기법 개발)

  • Shin, Hyu-Soung
    • The Journal of Engineering Geology
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    • v.23 no.4
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    • pp.447-455
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    • 2013
  • A micro-mechanical pipe network model with the shape of a cube was developed to simulate the behavior of fluid flow through a porous medium. The fluid-flow mechanism through the cubic pipe network channels was defined mainly by introducing a well-known percolation theory (Stauffer and Aharony, 1994). A non-uniform flow generally appeared because all of the pipe diameters were allocated individually in a stochastic manner based on a given pore-size distribution curve and porosity. Fluid was supplied to one surface of the pipe network under a certain driving pressure head and allowed to percolate through the pipe networks. A percolation condition defined by capillary pressure with respect to each pipe diameter was applied first to all of the network pipes. That is, depending on pipe diameter, the fluid may or may not penetrate a specific pipe. Once pore pressures had reached equilibrium and steady-state flow had been attained throughout the network system, Darcy's law was used to compute the resultant permeability. This study investigated the sensitivity of network size to permeability calculations in order to find out the optimum network size which would be used for all the network modelling in this study. Mean pore size and pore size distribution curve obtained from field are used to define each of pipe sizes as being representative of actual oil sites. The calculated and measured permeabilities are in good agreement.

determination of Optimum Pipe diameter Using Multi-Stage Iterative Method in Water Distribution system (다단계 반복기법을 이용한 관로시스템의 최적관경 결정)

  • Han, Geon-Yeon;Park, Jae-Hong
    • Journal of Korea Water Resources Association
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    • v.31 no.3
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    • pp.327-335
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    • 1998
  • The distribution network is an essential part of all water supply systems. The cost of this portion of any sizable water supply system may amount to most of the entire cost of the project. This study tried to reduce the cost of the distribution system through optimization in system design. To determine pipe diameter considered in water distribution system design, a iterative procedure linked the flow analysis model and optimization model was used. Linear theory was introduced to analyze flowrate and revised-simplex method based on linear programming is used to optimize pipe diameter. This model was applied to wter distribution system with 22 and 35 pipes, and rapidly determine optimized commercial pipe diameters. Keywords : water distribution system, revised simplex method, optimum pipe diameters.

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A Network Analysis of Authors and Keywords from North Korean Traditional Medicine Journal, Koryo Medicine (북한 고려의학 학술 저널에 대한 저자 및 키워드 네트워크 분석)

  • Oh, Junho;Yi, Eunhee;Lee, Juyeon;Kim, Dongsu
    • Journal of Society of Preventive Korean Medicine
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    • v.25 no.2
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    • pp.33-43
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    • 2021
  • Objectives : This study seeks to grasp the current status of Koryo medical research in North Korea, by focusing on researchers and research topics. Methods : A network analysis of co-authors and keyword which were extracted from Koryo Medicine - a North Korean traditional medicine journal, was conducted. Results : The results of author network analysis was a sparse network due to the low correlation between authors. The domain-wide network density of co-authors was 0.001, with a diameter of 14, average distance between nodes 4.029, and average binding coefficient 0.029. The results of the keyword network analysis showed the keyword "traditional medicine" had the strongest correlation weight of 228. Other keywords with high correlation weight was common acupuncture (84) and intradermal acupuncture(80). Conclusions : Although the co-authors of the Koryo Medicine did not have a high correlation with each other, they were able to identify key researchers considered important for each major sub-network. In addition, the keywords of the Koryo Medicine journals had a very high linkage to herbal medicines.

Shape Identification of Wear Debris with Neural Network (마멸분 형태식별을 위한 신경회로망의 적용)

  • 조연상;박일현;박흥식;전태옥
    • Proceedings of the Korean Society of Tribologists and Lubrication Engineers Conference
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    • 1997.04a
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    • pp.25-32
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    • 1997
  • The neural network was applied to identify wear debris generated from the lubricated machine moving surface. The wear test was carried out under different experimental conditions. In order to describe characteristics of debris of various shapes and sizes. The four parameter(50% volumetric diameter, aspect, roundness and reflec- tivity) of wear debris are used as inputs to the network and learned the friction condition of five values (material 3, applied load 1, sliding distance 1). It is shown that identification results depend on the ranges of these shape parameter learned. The three kinds of the wear debris had a different pattern characteristic and recognized the friction condition and materials very well by neural network.

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