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Journal articles on the topic 'Network designs'

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Author: Grafiati
Published: 10 December 2022
Last updated: 29 January 2023

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1

Wang, Xin, and Jari Nurmi. "Comparison of a Ring On-Chip Network and a Code-Division Multiple-Access On-Chip Network." VLSI Design 2007 (April 5, 2007): 1–14. http://dx.doi.org/10.1155/2007/18372.

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Two network-on-chip (NoC) designs are examined and compared in this paper. One design applies a bidirectional ring connection scheme, while the other design applies a code-division multiple-access (CDMA) connection scheme. Both of the designs apply globally asynchronous locally synchronous (GALS) scheme in order to deal with the issue of transferring data in a multiple-clock-domain environment of an on-chip system. The two NoC designs are compared with each other by their network structures, data transfer principles, network node structures, and their asynchronous designs. Both the synchronous and the asynchronous designs of the two on-chip networks are realized using a hardware-description language (HDL) in order to make the entire designs suit the commonly used synchronous design tools and flow. The performance estimation and comparison of the two NoC designs which are based on the HDL realizations are addressed. By comparing the two NoC designs, the advantages and disadvantages of applying direct connection and CDMA connection schemes in an on-chip communication network are discussed.
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2

Ahmed, Nesreen, Jennifer Neville, and Ramana Kompella. "Network Sampling Designs for Relational Classification." Proceedings of the International AAAI Conference on Web and Social Media 6, no. 1 (August 3, 2021): 383–86. http://dx.doi.org/10.1609/icwsm.v6i1.14331.

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Relational classification has been extensively studied recently due to its applications in social, biological, technological, and information networks. Much of the work in relational learning has focused on analyzing input data that comprise a single network. Although machine learning researchers have considered the issue of how to sample training and test sets from the input network (for evaluation), the mechanisms which are used to construct the input networks have largely been ignored. In most cases, the input network has itself been sampled from a larger target network (e.g., Facebook) and often the researcher is unaware of how the input network was constructed or what impact that may have on evaluation of the relational models. Since the goal in evaluating relational classification algorithms is to accurately assess their performance on the larger target network, it is critical to understand what impact the initial sampling method may have on our estimates of classification accuracy.In this paper, we present different sampling methods and systematically study their impact on evaluation of relational classification. Our results indicate that the choice of sampling method can impact classification performance, and thus consequently affects the accuracy of evaluation.
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3

Wan Mohammad, W. S. N., N. I. S. Lokman, R. Hasan, K. Hassan, N. Ramlee, M. R. Mohd Nasir, L. B. Yeo, Y. Gul, and K. A. Abu Bakar. "The implication of street network design for walkability: A review." IOP Conference Series: Earth and Environmental Science 881, no. 1 (November 1, 2021): 012058. http://dx.doi.org/10.1088/1755-1315/881/1/012058.

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Abstract A street network-friendly design allows walkability among people and is proven beneficial to the environment, community health, and economy of the city. Walkability in a street network increases potential trips by pedestrians through sidewalks and linked streets to create shorter travel distances. Street designs for pedestrian walkways are commonly ignored, with more focus on vehicular access, consequently leading to a lack of effort in improving the street network designs linked to various destinations. Accordingly, this paper reviews the street network designs affecting walkability from the perspective of the urban community. A systematic literature review method was employed to identify and analyse the articles published in the Sciencedirect.com database between 2004 and 2020 using two keywords: street network design and walkable city. The main finding suggested that street networks were associated with proper street designs. Therefore, a walkable city developed from a thriving street network design improved local physical activities and healthy communities.
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4

Sheng, Zhengguo, Kin Leung, and Zhiguo Ding. "Cooperative wireless networks: from radio to network protocol designs." IEEE Communications Magazine 49, no. 5 (May 2011): 64–69. http://dx.doi.org/10.1109/mcom.2011.5762799.

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5

Walker, H. D., and W. H. Lougheed. "Road Network Designs in Wood Supply Analysis." Forestry Chronicle 65, no. 6 (December 1, 1989): 431–40. http://dx.doi.org/10.5558/tfc65431-6.

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A system for designing timber management strategies which considers the location, construction timing, and standards of road networks is presented. The system allows the effects of alternative road networks on economic wood supplies and timber management strategies to be assessed. A geographic information system is used to update stand attributes in response to alternative road networks, prior to analysis using a linear-programming-based forest planning model. A case study illustrating the planning system is briefly reviewed and instructions for obtaining system software are provided. Key Words: timber management planning, geographic information system, spatial analysis, road network design, linear programming, wood supply analysis.
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6

Wu, Ho Ting, Chia Wei Tuan, and Kai Wei Ke. "The Designs of Interconnected Optical Ring Networks." Applied Mechanics and Materials 411-414 (September 2013): 703–6. http://dx.doi.org/10.4028/www.scientific.net/amm.411-414.703.

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Optical ring networks have been widely implemented as the major metro network architectures. However, as the network coverage expands, the system performance of the single ring structure degrades significantly. In this paper, we propose an interconnected ring topology to enhance the network throughput and efficiency. The carried out simulation results have revealed the superiority of employing such an interconnected architecture. We also discuss the increased complexities and fairness issues induced by such design.
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7

Gerber, Mia, and Nelishia Pillay. "Automated Design of the Deep Neural Network Pipeline." Applied Sciences 12, no. 23 (November 29, 2022): 12215. http://dx.doi.org/10.3390/app122312215.

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Deep neural networks have proven to be effective in various domains, especially in natural language processing and image processing. However, one of the challenges associated with using deep neural networks includes the long design time and expertise needed to apply these neural networks to a particular domain. The research presented in this paper investigates the automation of the design of the deep neural network pipeline to overcome this challenge. The deep learning pipeline includes identifying the preprocessing needed, the feature engineering technique, the neural network to use and the parameters for the neural network. A selection pertubative hyper-heuristic (SPHH) is used to automate the design pipeline. The study also examines the reusability of the generated pipeline. The effectiveness of transfer learning on the generated designs is also investigated. The proposed approach is evaluated for text processing—namely, sentiment analysis and spam detection—and image processing—namely, maize disease detection and oral lesion detection. The study revealed that the automated design of the deep neural network pipeline produces just as good, and in some cases better, performance compared to the manual design, with the automated design requiring less design time than the manual design. In the majority of instances, the design was not reusable; however, transfer learning achieved positive transfer of designs, with the performance being just as good or better than when transfer learning was not used.
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8

Liang, Zhi He, and Shi Xin Liang. "Traffic Groomings and Graph Designs." Applied Mechanics and Materials 635-637 (September 2014): 1124–27. http://dx.doi.org/10.4028/www.scientific.net/amm.635-637.1124.

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Wavelength Division Networks (WDM) rings is a very attractive network. The key terminating equipments are add-drop multiplexers (ADMs) on the WDM networks. It is essential to find an efficient routing and wavelength assignment to a given set of traffic streams such that the total ADM cost is minimal. In this paper, we will obtain the minimal ADM number A(12,v)=v (v-1)/4 when v≡1,9 (mod 24) and v≥25.
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Róka, Rastislav. "An Effective Evaluation of Wavelength Scheduling for Various WDM-PON Network Designs with Traffic Protection Provision." Symmetry 13, no. 8 (August 23, 2021): 1540. http://dx.doi.org/10.3390/sym13081540.

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Recently, metropolitan and access communication networks have markedly developed by utilizing a variety of technologies. Their bearer communication infrastructures will be mostly exploiting the optical transmission medium where wavelength division multiplexing techniques will play an important role. This contribution discusses the symmetric sharing of common optical network resources in wavelength and time domains. Wavelength-Division Multiplexed Passive Optical Networks (WDM-PON) attract considerable attention regarding the next generation of optical metropolitan and access networks. The main purpose of this contribution is presented by the analysis of possible scheduling of wavelengths for our novel hybrid network topologies considered for WDM-PON networks. This contribution briefly deploys adequate Dynamic Wavelength Allocation (DWA) algorithms for selected WDM-PON network designs with the provision of traffic protection when only passive optical components in remote nodes are utilized. The main part of this study is focused on the use of wavelength scheduling methods for selected WDM-PON network designs. For evaluation of offline and online wavelength scheduling for novel hybrid network topologies, a simulation model realized in the Matlab programming environment allows to analyze interactions between various metropolitan and access parts in the Optical Distribution Network (ODN) related to advanced WDM-PON network designs. Finally, wavelength scheduling methods are compared from a viewpoint of utilization in advanced WDM-PON networks designs.
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10

Petrillo, Alan. "Photonic devices for future network designs." PhotonicsViews 19, no. 4 (August 2022): 37–39. http://dx.doi.org/10.1002/phvs.202200035.

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11

Noss, Reed F. "A Checklist for Wildlands Network Designs." Conservation Biology 17, no. 5 (October 2003): 1270–75. http://dx.doi.org/10.1046/j.1523-1739.2003.02489.x.

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12

Refaee, Eshrag A., and Ali Ahmad. "A Study of Hexagon Star Network with Vertex-Edge-Based Topological Descriptors." Complexity 2021 (April 26, 2021): 1–7. http://dx.doi.org/10.1155/2021/9911308.

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There are many network topology designs that have emerged to fulfill the growing need for networks to provide a robust platform for a wide range of applications like running businesses and managing emergencies. Amongst the most famous network topology designs are star network, mesh network, hexagonal network, honeycomb network, etc. In a star network, a central computer is linked with various terminals and other computers over point-to-point lines. The other computers and terminals are directly connected to the central computer but not to one another. As such, any failure in the central computer will result in a failure of the entire network and computers in star network will not be able to communicate. The star topology design can be represented by a graph where vertices represent the computer nodes and edges represent the links between the computer nodes. In this paper, we study the vertex-edge-based topological descriptor for a newly designed hexagon star network.
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13

Wu, Yangbing, Jianfeng Zhao, Deming Chen, and Donghui Guo. "Modeling of Gaussian Network-Based Reconfigurable Network-on-Chip Designs." IEEE Transactions on Computers 65, no. 7 (July 1, 2016): 2134–42. http://dx.doi.org/10.1109/tc.2015.2479614.

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14

Wong, C. K., and Yi Liu. "Lane-Based Optimization for Macroscopic Network Configuration Designs." Discrete Dynamics in Nature and Society 2017 (2017): 1–18. http://dx.doi.org/10.1155/2017/1257569.

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Lane markings (arrows) at individual intersections serve as interfaces to connect upstream and downstream intersections in signal-controlled networks. Demand flows from origins to destinations may need to pass through a series of intersections. If lane markings are not well established to ban turns at intersections, then paths connecting origin and destination (OD) pairs could be inefficient. Due to indirect connections, road users need to take longer paths to reach their destinations. Conventionally, network configurations are fixed inputs for network analysis. In the present study, concepts of the lane-based designs for individual signalized intersections are extended for signal-controlled network designs. Taking OD demand flows as inputs, the proposed algorithm will optimize all lane markings and assigned lane flows on approach lanes. Paths (flows) will then be optimized by linking up the optimized lane markings across upstream and downstream intersections. Traffic signal settings at individual intersections will be optimized simultaneously by maximizing the reserve capacity for the entire OD demand flow matrix. The problem is formulated as a Binary-Mixed-Integer-Linear-Program (BMILP) and a standard branch-and-bound routine is applied to solve for global optimum solutions. A numerical example using a 4-intersection network will be given to demonstrate the effectiveness of the proposed design methodology.
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15

Mistry, S. I., and S. S. Nair. "Neural Network Designs for Partially Known Dynamic Systems." Journal of Engineering for Industry 116, no. 3 (August 1, 1994): 407–9. http://dx.doi.org/10.1115/1.2901960.

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Algorithms are investigated for system identification and control using neural networks and validated using on-line hardware implementation. Such algorithms require very little knowledge about the system which, together with their capability of learning, make them attractive for the modeling and control of nonlinear partially known dynamic systems. An implementation architecture for neural dynamic back propagation suitable for application to other machine tools and manufacturing processes, and a network training scheme with more general features are proposed.
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16

Wong, C. K., and Yi Liu. "Lane-based optimization for signalized network configuration designs." MATEC Web of Conferences 272 (2019): 01048. http://dx.doi.org/10.1051/matecconf/201927201048.

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Lane-based traffic signal design has been developed for designing signal-controlled intersections. Conventional designs take on fixed configurations as exogenous inputs to design traffic signal settings. The proposed study will be an extension to merge geometrical junction arrangement and signal controls together for network configuration designs. Design methodology would be directly extended from existing lane-based design method. New Path flows variables and new flow conservation constraints are required to ensure the users’ input OD flows could be assigned onto network paths through different signal-controlled intersections. This problem is new that involves binary variables and related linear constraints which is formulated as a BMILP. Standard technique could solve the optimum solution. A four-intersection network with two approach lane settings is optimized for demonstration purposes.
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17

YEN, GARY, and HAIMING LU. "HIERARCHICAL GENETIC ALGORITHM FOR NEAR-OPTIMAL FEEDFORWARD NEURAL NETWORK DESIGN." International Journal of Neural Systems 12, no. 01 (February 2002): 31–43. http://dx.doi.org/10.1142/s0129065702001023.

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In this paper, we propose a genetic algorithm based design procedure for a multi-layer feed-forward neural network. A hierarchical genetic algorithm is used to evolve both the neural network's topology and weighting parameters. Compared with traditional genetic algorithm based designs for neural networks, the hierarchical approach addresses several deficiencies, including a feasibility check highlighted in literature. A multi-objective cost function is used herein to optimize the performance and topology of the evolved neural network simultaneously. In the prediction of Mackey–Glass chaotic time series, the networks designed by the proposed approach prove to be competitive, or even superior, to traditional learning algorithms for the multi-layer Perceptron networks and radial-basis function networks. Based upon the chosen cost function, a linear weight combination decision-making approach has been applied to derive an approximated Pareto-optimal solution set. Therefore, designing a set of neural networks can be considered as solving a two-objective optimization problem.
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18

Sagnol, Guillaume. "Network-related problems in optimal experimental design and second order cone programming." Tatra Mountains Mathematical Publications 51, no. 1 (November 1, 2012): 161–71. http://dx.doi.org/10.2478/v10127-012-0016-x.

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ABSTRACT In the past few years several applications of optimal experimental designs have emerged to optimize the measurements in communication networks. The optimal design problems arising from this kind of applications share three interesting properties: (i) measurements are only available at a small number of locations of the network; (ii) each monitor can simultaneously measure several quantities, which can be modeled by “multiresponse experiments”; (iii) the observation matrices depend on the topology of the network. We give an overview of these experimental design problems and recall recent results for the computation of optimal designs by Second Order Cone Programming (SOCP). New results for the network-monitoring of a discrete time process are presented. In particular, we show that the optimal design problem for the monitoring of an AR1 process can be reduced to the standard form and we give experimental results.
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19

Wang, Yanjun, Zixuan Li, Chuan Jiang, Xiaokang Qiu, and Sanjay Rao. "Comparative Synthesis: Learning Near-Optimal Network Designs by Query." Proceedings of the ACM on Programming Languages 7, POPL (January 9, 2023): 91–120. http://dx.doi.org/10.1145/3571197.

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When managing wide-area networks, network architects must decide how to balance multiple conflicting metrics, and ensure fair allocations to competing traffic while prioritizing critical traffic. The state of practice poses challenges since architects must precisely encode their intent into formal optimization models using abstract notions such as utility functions, and ad-hoc manually tuned knobs. In this paper, we present the first effort to synthesize optimal network designs with indeterminate objectives using an interactive program-synthesis-based approach. We make three contributions. First, we present comparative synthesis, an interactive synthesis framework which produces near-optimal programs (network designs) through two kinds of queries (Validate and Compare), without an objective explicitly given. Second, we develop the first learning algorithm for comparative synthesis in which a voting-guided learner picks the most informative query in each iteration. We present theoretical analysis of the convergence rate of the algorithm. Third, we implemented Net10Q, a system based on our approach, and demonstrate its effectiveness on four real-world network case studies using black-box oracles and simulation experiments, as well as a pilot user study comprising network researchers and practitioners. Both theoretical and experimental results show the promise of our approach.
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20

Yu, Zhang Hong, and Yu Qing Jian. "“Network Hard Drive” Service System in Campus Network." Advanced Materials Research 403-408 (November 2011): 1306–8. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.1306.

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This study if from the Building of "network hard drive" service system of Hebei Normal University of Science and Technology. First of all, combined with the user's characteristics and application needs of college campus network, depth study is conducted on the campus network storage program, and designs a fully functional network hard drive system, and on this basis, Identifying the key factors of impacting performance through research and analysis to system, studeying the optimization strategies and methods to services; proposing the design program of performance optimization system through experimental and testing of all optimization strategies to system, and ultimately achieve.
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21

Yen, Gary G., and Haiming Lu. "Hierarchical Rank Density Genetic Algorithm for Radial-Basis Function Neural Network Design." International Journal of Computational Intelligence and Applications 03, no. 03 (September 2003): 213–32. http://dx.doi.org/10.1142/s1469026803000975.

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In this paper, we propose a genetic algorithm based design procedure for a radial-basis function neural network. A Hierarchical Rank Density Genetic Algorithm (HRDGA) is used to evolve the neural network's topology and parameters simultaneously. Compared with traditional genetic algorithm based designs for neural networks, the hierarchical approach addresses several deficiencies highlighted in literature. In addition, the rank-density based fitness assignment technique is used to optimize the performance and topology of the evolved neural network to deal with the confliction between the training performance and network complexity. Instead of producing a single optimal solution, HRDGA provides a set of near-optimal neural networks to the designers so that they can have more flexibility for the final decision-making based on certain preferences. In terms of searching for a near-complete set of candidate networks with high performances, the networks designed by the proposed algorithm prove to be competitive, or even superior, to three other traditional radial-basis function networks for predicting Mackey–Glass chaotic time series.
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22

Ramaswamy, H. S., C. Chen, S. Sreekanth, S. S. Sablani, and S. O. Prasher. "Neural Network Assisted Experimental Designs for Food Research." Journal of Agricultural and Marine Sciences [JAMS] 5, no. 2 (June 1, 2000): 79. http://dx.doi.org/10.24200/jams.vol5iss2pp79-84.

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The ability of artificial neural networks (ANN) in predicting full factorial data from the fractional data corresponding to some of the commonly used experimental designs is explored in this paper. Factorial and fractional factorial designs such as L8, L9, L18, and Box and Behnken schemes were considered both in their original form and with some variations (L8+6, L15 and L9+1). Full factorial (3 factors x 5 levels) and fractional data were generated employing sixteen different mathematical equations (four in each category: linear, with and without interactions, and non-linear, with and without interactions). Different ANN models were trained and the best model was chosen for each equation based on their ability to predict the fractional data. The best experimental design was then chosen based on their ability to simulate the full- factorial data for each equation. In several cases, the mean relative errors with the L18 design (which had more input data than other models) were even higher than with other smaller fractional design. In general, the ANN assisted Lm, Box and Behnken, L15 and L18 designs were found to predict the full factorial data reasonably well with errors less than 5 %. The L8+6 model performed well with several experimental datasets reported in the literature.
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23

Ramaswamy, H. S., C. Chen, S. Sreekanth, S. S. Sablani, and S. O. Prasher. "Neural Network Assisted Experimental Designs for Food Research." Journal of Agricultural and Marine Sciences [JAMS] 5, no. 2 (June 1, 2000): 97. http://dx.doi.org/10.24200/jams.vol5iss2pp97-106.

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The ability of artificial neural networks (ANN) in predicting full factorial data from the fractional data corresponding to some of the commonly used experimental designs is explored in this paper. Factorial and fractional factorial designs such as L8, L9, L18, and Box and Behnken schemes were considered both in their original form and with some variations (L8+6, L15 and L9+1). Full factorial (3 factors x 5 levels) and fractional data were generated employing sixteen different mathematical equations (four in each category: linear, with and without interactions, and non-linear, with and without interactions). Different ANN models were trained and the best model was chosen for each equation based on their ability to predict the fractional data. The best experimental design was then chosen based on their ability to simulate the full- factorial data for each equation. In several cases, the mean relative errors with the L18 design (which had more input data than other models) were even higher than with other smaller fractional design. In general, the ANN assisted Lm, Box and Behnken, L15 and L18 designs were found to predict the full factorial data reasonably well with errors less than 5 %. The L8+6 model performed well with several experimental datasets reported in the literature.
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24

McClymont, Kent, Ed Keedwell, Dragan Savić, and Mark Randall-Smith. "A general multi-objective hyper-heuristic for water distribution network design with discolouration risk." Journal of Hydroinformatics 15, no. 3 (October 25, 2012): 700–716. http://dx.doi.org/10.2166/hydro.2012.022.

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The optimisation of water distribution networks (WDNs) by evolutionary algorithms has gained much coverage in the literature since it was first proposed in the early 1990s. Despite being well studied, the problem and objectives continue to evolve as demands on water companies change. Motivated by the increased focus on reducing the risk of discolouration, this study examines a three objective version of the WDN design problem which takes into account cost, head excess and discolouration risk. Using this formulation, this paper presents a method for producing optimised network designs aimed at reducing discolouration risk in the network design phase and thus reducing the associated long-term maintenance and operational burdens of the system. This paper discusses the use of a discolouration risk model and, using this model, the optimisation of network design, specifically pipe diameters, to produce a range of high quality self-cleaning networks. The network designs are optimised using the Markov-chain hyper-heuristic (MCHH), a new multi-objective online selective hyper-heuristic. The MCHH is incorporated in to the known NSGA-II and SPEA2 and supplied with a range of heuristics tailored for use on the WDN design problem. The results demonstrate an improvement in performance obtained over the original algorithms.
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25

Davis, Michael J., and Robert Janke. "The effect of a loss of model structural detail due to network skeletonization on contamination warning system design: case studies." Drinking Water Engineering and Science 11, no. 1 (May 2, 2018): 49–65. http://dx.doi.org/10.5194/dwes-11-49-2018.

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Abstract. The effect of limitations in the structural detail available in a network model on contamination warning system (CWS) design was examined in case studies using the original and skeletonized network models for two water distribution systems (WDSs). The skeletonized models were used as proxies for incomplete network models. CWS designs were developed by optimizing sensor placements for worst-case and mean-case contamination events. Designs developed using the skeletonized network models were transplanted into the original network model for evaluation. CWS performance was defined as the number of people who ingest more than some quantity of a contaminant in tap water before the CWS detects the presence of contamination. Lack of structural detail in a network model can result in CWS designs that (1) provide considerably less protection against worst-case contamination events than that obtained when a more complete network model is available and (2) yield substantial underestimates of the consequences associated with a contamination event. Nevertheless, CWSs developed using skeletonized network models can provide useful reductions in consequences for contaminants whose effects are not localized near the injection location. Mean-case designs can yield worst-case performances similar to those for worst-case designs when there is uncertainty in the network model. Improvements in network models for WDSs have the potential to yield significant improvements in CWS designs as well as more realistic evaluations of those designs. Although such improvements would be expected to yield improved CWS performance, the expected improvements in CWS performance have not been quantified previously. The results presented here should be useful to those responsible for the design or implementation of CWSs, particularly managers and engineers in water utilities, and encourage the development of improved network models.
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26

Fischer, Martin J., Virginia O. Sielen, Gregor W. Swinsky, and Sen-Lang Wang. "Topological Network Designs and Analyses for the Defense Information System Network." Military Operations Research 1, no. 1 (June 1, 1994): 31–44. http://dx.doi.org/10.5711/morj.1.1.31.

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27

Xu, Yang, Pengfei Liu, Xiang Li, and Wei Ren. "Discovering the Influences of Complex Network Effects on Recovering Large Scale Multiagent Systems." Scientific World Journal 2014 (2014): 1–13. http://dx.doi.org/10.1155/2014/407639.

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Building efficient distributed coordination algorithms is critical for the large scale multiagent system design, and the communication network has been shown as a key factor to influence system performance even under the same coordination protocol. Although many distributed algorithm designs have been proved to be feasible to build their functions in the large scale multiagent systems as claimed, the performances may not be stable if the multiagent networks were organized with different complex network topologies. For example, if the network was recovered from the broken links or disfunction nodes, the network topology might have been shifted. Therefore, their influences on the overall multiagent system performance are unknown. In this paper, we have made an initial effort to find how a standard network recovery policy, MPLS algorithm, may change the network topology of the multiagent system in terms of network congestion. We have established that when the multiagent system is organized as different network topologies according to different complex network attributes, the network shifts in different ways. Those interesting discoveries are helpful to predict how complex network attributes influence on system performance and in turn are useful for new algorithm designs that make a good use of those attributes.
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28

Xue, Shan, Alan Fern, and Daniel Sheldon. "Scheduling Conservation Designs via Network Cascade Optimization." Proceedings of the AAAI Conference on Artificial Intelligence 26, no. 1 (September 20, 2021): 391–97. http://dx.doi.org/10.1609/aaai.v26i1.8177.

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We introduce the problem of scheduling land purchases to conserve an endangered species in a way that achieves maximum population spread but delays purchases as long as possible, so that conservation planners retain maximum flexibility and use available budgets in the most efficient way. We develop the problem formally as a stochastic optimization problem over a network cascade model describing the population spread, and present a solution approach that reduces the stochastic problem to a novel variant of a Steiner tree problem. We give a primal-dual algorithm for the problem that computes both a feasible solution and a bound on the quality of an optimal solution. Our experiments, using actual conservation data and a standard diffusion model, show that the approach produces near optimal results and is much more scalable than more generic off-the-shelf optimizers.
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29

Boyles, Stephen D., Tarun Rambha, and Chi Xie. "Equilibrium Analysis of Low-Conflict Network Designs." Transportation Research Record: Journal of the Transportation Research Board 2467, no. 1 (January 2014): 129–39. http://dx.doi.org/10.3141/2467-14.

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Chen, Anthony, Juyoung Kim, Seungjae Lee, and Jaisung Choi. "Models and algorithm for stochastic network designs." Tsinghua Science and Technology 14, no. 3 (June 2009): 341–51. http://dx.doi.org/10.1016/s1007-0214(09)70050-1.

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31

Cheng, Kai-Fang, and Chuei-Tin Chang. "Integrated Water Network Designs for Batch Processes." Industrial & Engineering Chemistry Research 46, no. 4 (February 2007): 1241–53. http://dx.doi.org/10.1021/ie0611150.

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32

Avin, Chen, Alexandr Hercules, Andreas Loukas, and Stefan Schmid. "rDAN : Toward robust demand-aware network designs." Information Processing Letters 133 (May 2018): 5–9. http://dx.doi.org/10.1016/j.ipl.2017.12.008.

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Avin, Chen, Kaushik Mondal, and Stefan Schmid. "Demand-aware network designs of bounded degree." Distributed Computing 33, no. 3-4 (May 31, 2019): 311–25. http://dx.doi.org/10.1007/s00446-019-00351-5.

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Jyothi, K. D., P. Bala Srinivas, and S. Kumar. "A Soft Computing Techniques Analysis for Planar Microstrip Antenna for Wireless Communications." International Journal of Electrical and Electronics Research 10, no. 3 (September 30, 2022): 466–69. http://dx.doi.org/10.37391/ijeer.100310.

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The use of neural-network computational modules for radio frequency and microwave modelling and design has lately gained popularity as an uncommon but useful technique for this type of modelling and design. It is possible to train neural networks to study the behaviour of active and passive mechanisms and circuits. In this study, technologists will learn about what neural networks are and how they can be used to model microstrip patch antennas. An artificial neural network is used in this work to investigate in depth several designs and analysis methodologies for microstrip patch antennas. Various network structures are also discussed in this study for wireless communications. Microstrip antenna design has been presented and the use of ANN in microstrip antenna design are also shown in this article.
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Schling, Eike, and Rainer Barthel. "Šuchov’s bent networks: The impact of network curvature on Šuchov’s gridshell designs." Structures 29 (February 2021): 1496–506. http://dx.doi.org/10.1016/j.istruc.2020.12.021.

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El-Mesady, A., Y. S. Hamed, M. S. Mohamed, and H. Shabana. "Partially balanced network designs and graph codes generation." AIMS Mathematics 7, no. 2 (2022): 2393–412. http://dx.doi.org/10.3934/math.2022135.

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<abstract> <p>Partial balanced incomplete block designs have a wide range of applications in many areas. Such designs provide advantages over fully balanced incomplete block designs as they allow for designs with a low number of blocks and different associations. This paper introduces a class of partially balanced incomplete designs. We call it partially balanced network designs (PBNDs). The fundamentals and properties of PBNDs are studied. We are concerned with modeling PBNDs as graph designs. Some direct constructions of small PBNDs and generalized PBNDs are introduced. Besides that, we show that our modeling yields an effective utilization of PNBDs in constructing graph codes. Here, we are interested in constructing graph codes from bipartite graphs. We have proved that these codes have good characteristics for error detection and correction. In the end, the paper introduces a novel technique for generating new codes from already constructed codes. This technique results in increasing the ability to correct errors.</p> </abstract>
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Thompson, Steven K. "Adaptive and Network Sampling for Inference and Interventions in Changing Populations." Journal of Survey Statistics and Methodology 5, no. 1 (March 1, 2017): 1–21. http://dx.doi.org/10.1093/jssam/smw035.

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Abstract In this paper, I discuss some of the wider uses of adaptive and network sampling designs. Three uses of sampling designs are to select units from a population to make inferences about population values, to select units to use in an experiment, and to distribute interventions to benefit a population. The most useful approaches for inference from adaptively selected samples are design-based methods and Bayesian methods. Adaptive link-tracing network sampling methods are important for sampling populations that are otherwise hard to reach. Sampling in changing populations involves temporal network or spatial sampling design processes with units selected both into and out of the sample over time. Averaging or smoothing fast-moving versions of these designs provides simple estimates of network-related characteristics. The effectiveness of intervention programs to benefit populations depends a great deal on the sampling and assignment designs used in spreading the intervention.
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Esabella, Shinta. "Perancangan Infrastruktur Jaringan Komputer Untuk Mendukung Implementasi Sistem Informasi Pada Universitas Teknologi Sumbawa." Jurnal Matrik 16, no. 1 (July 26, 2017): 44. http://dx.doi.org/10.30812/matrik.v16i1.16.

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The purpose of this writing is to be able to recognize the performance of the design of computer networks of Universitas Teknologi Sumbawa which has been built in simulator OPNET Version 14.5, from which the design of a computer network consists of two designs specifically design of computer networks using Cable Media and Wireless Media (Access Point). The study begins by analyzing the current situation of the computer network and discovers the circumstance of utilization of computer networks had not been optimal as the condition of the computer network infrastructure of Universitas Teknologi Sumbawa rector is only found in the main building itself. The process ofanalysis and design of computer network infrastructure uses the Network Development Life Cycle (NDLC). The comparison outcome of the design with the Cable Media in the Simulator has Page Response Time 82,3% faster than using Wireless Media and delay point of Cable Media is 19,1% lower than Wireless Media. Therefore Cable Media is able to be considered as one of preferences by the Executive Board of Universitas Teknologi Sumbawa to develop Computer Network Infrastructure for integrating entire existing building within the campus area in order to support the implementation of the information system.
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Bao, Si Yun, and Heng Kui Wu. "Future Internet Trends Research." Applied Mechanics and Materials 475-476 (December 2013): 1211–14. http://dx.doi.org/10.4028/www.scientific.net/amm.475-476.1211.

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With the development of Internet scale, diversifications of applications and the network virtualization, novel applications emerge, such as search services, stream, social networks, cloud services, e-commerce, big data services and so on. Current Internet cannot afford the diversifying services any more. The network architecture should be improved or a clean slate architecture design is desired. Novel designs of future Internet become a hot topic. IPv6 is the improvement version of IPv4, which solves the address issue of the current Internet, but issues of routing scalability, security, mobility and Quality of Service are still remain. There are two ways to future Internet, improving ones and clean slate designs. The former is based on the current Internet and the latter is novel design without the limitation of the current network architecture. In this paper, we introduce related work of future Internet and summarize the locator/ID separation mechanism, SDN, OpenFlow, NDN and so on. At final, we conclude the paper.
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Kim, Hyo-Joo, Su-Han Woo, Po-Lin Lai, and Yong-Won Seo. "Environmental impact of distribution network design: the case of Korea." Journal of Korea Trade 20, no. 4 (December 5, 2016): 398–414. http://dx.doi.org/10.1108/jkt-12-2016-022.

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Purpose The purpose of this paper is to analyze the environmental impact of distribution network design. Design/methodology/approach Typical distribution networks are identified and modeled through interviews with logistics companies in Korea. CO2 emission is calculated for the distribution network models to evaluate the environmental impact of different network designs. In addition, economic and customer service performances are evaluated to provide realistic and balanced solutions to supply chain managers. Findings It is suggested that hybrid networks combining Hub-and-Spoke (HS) and Point-to-Point (PP) networks with a small number of sub-terminals are the most effective in both environmental and customer service aspects, whereas HS network is the most cost-effective. Research limitations/implications The analysis in this study is based on certain assumptions, and hence full application of these results to specific cases is limited. The combination of PP network with HS network is suggested, forming a hybrid network, and CO2 mitigation policies need to consider support schemes that can influence a firm’s decision making in relation to network design. Originality/value Little attention, however, has been paid to the environmental impact of distribution network design in the exiting literature. This study is a rare attempt at evaluating the environmental impact of distribution network design and may provide valuable implications to policy-makers and practitioners in logistics and manufacturing companies.
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Wei, Hao. "Problems and Suggestions on Dike Road Designs." Applied Mechanics and Materials 443 (October 2013): 701–6. http://dx.doi.org/10.4028/www.scientific.net/amm.443.701.

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Dike roads include water conservancy projects and highways or public works, so the industry cross exists in designs. During the process of dike road designs, there exists problems such as disjointed dike designs and road designs, the lack of adaptation classification system and design standards, inconsistent requirements of embankment compaction and subgrade compaction, the lack of a connection with the inner road network design and green landscape design and other issues. We should fully consider the differences between dike design and road design, according to the particularity of the road dike, and we have proposed several proposals, such as increasing related indicators in the early design of the dike road design, establishing the dike road classification system, uniforming embankments and subgrade compaction standards, strengthening connections with the surrounding road network design and paying attention to greening landscape designs.
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Yuan, Zhigang, Yongkui Zhang, Bo Li, and Xinlong Jin. "A Diagnostic Model of Volleyball Techniques and Tactics Based on Wireless Communication Network." Computational and Mathematical Methods in Medicine 2022 (March 30, 2022): 1–12. http://dx.doi.org/10.1155/2022/2185908.

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Volleyball is a sport of teamwork competition and tactical coordination. It tests the ability of team members to cooperate with each other and personal resilience. With the development of wireless communication networks, how to use wireless communication networks in the analysis of volleyball tactics is the subject of this article. To explore how to design the volleyball tactics analysis model of the wireless communication network, this paper proposes the method of LTE system and MIMO technology and designs the tactics analysis model based on the characteristics of the wireless network, then combined volleyball tactics and game theory to design a wireless communication network volleyball tactics analysis model. Then, this paper designs the simulation experiment of scene allocation problem, the algorithm simulation experiment, and the comparative investigation and analysis of volleyball game spiking technical ability. The results of the experiment are optimized for the tactical analysis model, and finally, the improvement of the training of the volleyball tactical analysis model based on the wireless communication network is verified through comparative experiments. The experimental results show that the team fit of the volleyball tactical analysis model training based on the wireless communication network has increased by 22.12% compared with the traditional volleyball tactical training. Compared with the traditional volleyball tactical training, the personal on-the-spot adaptability of the volleyball tactical analysis model training based on the wireless communication network has increased by 9.05%.
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Cristofanelli, Stefania, Claudia Pignolo, Laura Ferro, Agata Ando’, and Alessandro Zennaro. "Rorschach Nomological Network and Resting-State Large Scale Brain Networks." Rorschachiana 37, no. 1 (April 2016): 74–92. http://dx.doi.org/10.1027/1192-5604/a000078.

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Abstract. Despite advances in neuroscience, the field of personality assessment has not yet taken full advantage of the progress in neuroimaging techniques. Functional Magnetic Resonance Imaging (fMRI) is one of the most widely used neuroimaging techniques and allows the detection of brain processes and their anatomically detailed correspondences. In the last fifteen years, few studies have developed research designs using the Rorschach test in fMRI settings, analyzing the relationship between Rorschach variables and brain neural circuits. Although their findings were promising, some methodological issues related to fMRI research design have been outlined. Recently, personality neuroscience is emerging as a new field of research that attempts to deepen and refine neurobiological and psychological theories of personality using fMRI in resting state conditions. Recent studies report that resting state networks show a direct relationship with psychological traits. The aim of the present article is to propose a new research design that employs resting-state functional connectivity analyses to explore the brain’s functional architecture in relation to psychological constructs of Rorschach variables related to perceptual styles and personality traits.
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Li, Qiang, Kui Yang, and Li Ma. "Safety Monitoring System Research of Network Information." Applied Mechanics and Materials 687-691 (November 2014): 2618–21. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.2618.

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this article researches the network information security, designs the safety monitoring system of network information that's based on intrusion detection and system log. Moreover, it introduces the design concept, design framework, function module, and encoding realization of this system. Then, we can find out the testing process and the result.
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Qian, Chao, Ren Kai Tan, and Wenjing Ye. "An adaptive artificial neural network-based generative design method for layout designs." International Journal of Heat and Mass Transfer 184 (March 2022): 122313. http://dx.doi.org/10.1016/j.ijheatmasstransfer.2021.122313.

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Mariani, Marcello, and Rodolfo Baggio. "The relevance of mixed methods for network analysis in tourism and hospitality research." International Journal of Contemporary Hospitality Management 32, no. 4 (February 27, 2020): 1643–73. http://dx.doi.org/10.1108/ijchm-04-2019-0378.

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Purpose Taking stock of extant hospitality and tourism research using social network analysis approaches, this study highlights why using either quantitative or qualitative approaches to examine social networks can be misleading and generate potentially biased findings. Indeed, purely qualitative and purely quantitative studies display limitations. The purpose of this study is to provide methodological insights by suggesting that mixed methods can be suitably used, depending on the specific research questions. Design/methodology/approach The study consists of an analysis and critical discussion of the methods used in a number of papers leveraging social network approaches to study social networks in tourism and hospitality. The authors describe the benefits and limitations of each method studies considered are examined based on a number of aspects. Findings More than half of the studies classified as network studies adopt quantitative designs and quantitative methods including statistical analyses and observational data. Mixed methods study is a minority and they are almost never labeled as mixed methods. A relevant portion of qualitative studies increasingly embeds a number of rudimentary statistical analyses. With an example, the authors also discuss that purely quantitative or purely qualitative methods can lead to discrepant results, and thus, the authors encourage scholars to embrace mixed method research designs such as explanatory or exploratory sequential designs. Advanced researchers might attempt in the future to embrace transformative, embedded or multiphase mixed methods. Research limitations/implications This study is based on academic papers and research published before 2019. A rich research agenda is designed. Originality/value This study contributes to explore the way social networks have been dealt with in tourism and hospitality research so far, by advancing a proposal to adopt mixed methods in the form of explanatory or exploratory sequential designs. To the best of the knowledge, it is the first study addressing methodological pitfalls in extant network-based research within the tourism and hospitality domain.
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Huuskonen, Arto Pekka Juhani. "Supply network design in the residential-FM sector." Facilities 32, no. 11/12 (August 4, 2014): 723–38. http://dx.doi.org/10.1108/f-11-2012-0092.

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Purpose – The purpose of this study is to examine supply network designs that large service organisations use in the residential-FM sector to respond to the organising requirements of their operating environments. Design/methodology/approach – The study is theoretically grounded in the well-established literature on the organisational design and structural contingency theory. Utilising a framework of generic organising problems proposed by Miles and Snow (1978) and a multiple-case study design, the study elaborates how large service organisations organise and manage their supply networks in the Finnish residential-FM sector. Findings – The study identifies four supply network designs that organisations use for responding to the organising problems inherent in the property and resident services domains in the residential-FM sector. These include regional production organisation, horizontal decentralisation, environment stabilisation and demand – supply pooling, reflecting the type of the service-market domain and the organisation’s service strategy. Originality/value – The study contributes to the facilities management literature by expanding the field of inquiry from the commercial real estate sector into the emerging field of professional residential facility services. In particular, the study adds to the discussion on supply strategies and design, offering a service provider perspective to the organisation of service supply in housing.
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DELGADO-FRIAS, JOSE G., STAMATIS VASSILIADIS, and JAMSHID GOSHTASBI. "SEMANTIC NETWORK ARCHITECTURES: AN EVALUATION." International Journal on Artificial Intelligence Tools 01, no. 01 (March 1992): 57–83. http://dx.doi.org/10.1142/s0218213092000132.

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Semantic networks as a means for knowledge representation and manipulation are used in many artificial intelligence applications. A number of computer architectures, that have been reported for semantic network processing, are presented in this paper. A novel set of evaluation criteria for such semantic network architectures has been developed. Semantic network processing as well as architectural issues are considered in such evaluation criteria. A study of how the reported architectures meet the requirements of each criterion is presented. This set of evaluation criteria is useful for future designs of machines for semantic networks because of its comprehensive range of issues on semantic networks and architectures.
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Avena-Koenigsberger, Andrea, Joaquín Goñi, Ricard Solé, and Olaf Sporns. "Network morphospace." Journal of The Royal Society Interface 12, no. 103 (February 2015): 20140881. http://dx.doi.org/10.1098/rsif.2014.0881.

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The structure of complex networks has attracted much attention in recent years. It has been noted that many real-world examples of networked systems share a set of common architectural features. This raises important questions about their origin, for example whether such network attributes reflect common design principles or constraints imposed by selectional forces that have shaped the evolution of network topology. Is it possible to place the many patterns and forms of complex networks into a common space that reveals their relations, and what are the main rules and driving forces that determine which positions in such a space are occupied by systems that have actually evolved? We suggest that these questions can be addressed by combining concepts from two currently relatively unconnected fields. One is theoretical morphology, which has conceptualized the relations between morphological traits defined by mathematical models of biological form. The second is network science, which provides numerous quantitative tools to measure and classify different patterns of local and global network architecture across disparate types of systems. Here, we explore a new theoretical concept that lies at the intersection between both fields, the ‘network morphospace’. Defined by axes that represent specific network traits, each point within such a space represents a location occupied by networks that share a set of common ‘morphological’ characteristics related to aspects of their connectivity. Mapping a network morphospace reveals the extent to which the space is filled by existing networks, thus allowing a distinction between actual and impossible designs and highlighting the generative potential of rules and constraints that pervade the evolution of complex systems.
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Douglas, Robert A. "Discussion: Road network designs in wood supply analysis." Forestry Chronicle 67, no. 2 (April 1, 1991): 145–46. http://dx.doi.org/10.5558/tfc67145-2.

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