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Journal articles on the topic 'Network Diagram'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Paley, Suzanne, Richard Billington, James Herson, Markus Krummenacker, and Peter D. Karp. "Pathway Tools Visualization of Organism-Scale Metabolic Networks." Metabolites 11, no. 2 (2021): 64. http://dx.doi.org/10.3390/metabo11020064.

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Metabolomics, synthetic biology, and microbiome research demand information about organism-scale metabolic networks. The convergence of genome sequencing and computational inference of metabolic networks has enabled great progress toward satisfying that demand by generating metabolic reconstructions from the genomes of thousands of sequenced organisms. Visualization of whole metabolic networks is critical for aiding researchers in understanding, analyzing, and exploiting those reconstructions. We have developed bioinformatics software tools that automatically generate a full metabolic-network

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Olena, Domina. "SELECTION OF ALTERNATIVE SOLUTIONS IN THE OPTIMIZATION PROBLEM OF NETWORK DIAGRAMS OF PROJECT IMPLEMENTATION." TECHNOLOGY AUDIT AND PRODUCTION RESERVES 4, no. 4 (54) (2020): 9–22. https://doi.org/10.15587/2706-5448.2020.210848.

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  <em>The object of research is a model network diagram of the project implementation in the form of a diagram, in which individual operations are represented by arcs, and vertices are considered as events corresponding to the beginning and end of operations. The term «model» is understood as an arbitrary network diagram, in relation to the parameters of which the solution is already known.</em> <em>One of the most problematic areas is the lack of substantiated methods of formalizing the task of optimizing network diagrams, allowing for a targeted selection of early start date

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Popov, Anton, and Vladimir Lukhanin. "Algorithm for create network diagrams for planning maintenance of agricultural machines." E3S Web of Conferences 285 (2021): 07020. http://dx.doi.org/10.1051/e3sconf/202128507020.

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Reducing the maintenance man-hour is one of the ways to improve of operation efficiency of agricultural machines. The total maintenance time of the agricultural machine is determined by the critical path and other network planning parameters. The network model in the form of network diagrams is used for visualization and analysis of maintenance processes. Building network diagrams be not a trivial task and it takes a long time to build. Therefore, automating the creation of network diagrams of technological maintenance of agricultural machines is an urgent task. This work aims to develop an al

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Rao, Zheng Chan, and Tian Yin Pu. "Decision Diagram-Based Modeling of Network Reachability." Applied Mechanics and Materials 513-517 (February 2014): 1779–82. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.1779.

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The computer network attack graph generation method obtained mostly through network scanning, this network reachability information, this approach takes a long presence information and incomplete defects by analyzing network reachability main task of research and developing trends is proposed based on binary decision diagrams algorithm approach to achieve network reachability studies. The algorithm uses the decision diagram modeling firewall rules, through the collection operations to achieve network reachability studies.

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Zhang, Zixuan, Wenbo Wang, Wenzheng Chen, et al. "Fault Diagnosis of Reciprocating Compressor Valve Based on Triplet Siamese Neural Network." Machines 13, no. 4 (2025): 263. https://doi.org/10.3390/machines13040263.

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A fault diagnosis method for reciprocating compressor valves suitable for variable operating conditions is presented in this paper. Firstly, a test bench is independently constructed to simulate fault scenarios under diverse operating conditions and with various faults. The two types of p-V diagrams are gathered, and the improved logarithmic p-V diagram acquisition method is used for logarithmic transformation to obtain the multi-conditional logarithmic p-V diagram dataset and the fault logarithmic p-V diagram dataset. Subsequently, to predict the fault-free logarithmic p-V diagram under diffe

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Zimin, Andrey. "Formalization and Automation of Post-NGN Communication Network Testing Processes." Telecom IT 12, no. 2 (2024): 16–24. https://doi.org/10.31854/2307-1303-2024-12-2-16-24.

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Problem statement. The development and complication of the architecture of communication networks, protocols and scenarios for the interaction of various network elements, as a result, entails the development of means for testing communication networks. The aim of the work is to review the evolution of abstract tools and mathematical models of communication network testing tools as these networks evolve. The method used is the specifications of test scenarios in the language of MSC message sequence diagrams for testing 3G networks and 5G networks (network slices, new network elements. The scie

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van der Wolk, Pieter J., Jiajun Wang, Jilt Sietsma, and Sybrand van der Zwaag. "Modelling the continuous cooling transformation diagram of engineering steels using neural networks." International Journal of Materials Research 93, no. 12 (2002): 1198–207. http://dx.doi.org/10.1515/ijmr-2002-0208.

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Abstract A neural network model for the calculation of the phase regions of the continuous cooling transformation (CCT) diagram of engineering steels has been developed. The model is based on experimental CCT diagrams of 459 low-alloy steels, and calculates the CCT diagram as a function of composition and austenitisation temperature. In considering the composition, 9 alloying elements are taken into account. The model reproduces the original diagrams rather accurately, with deviations that are not larger than the average experimental inaccuracy of the experimental diagrams. Therefore, it can b

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Gauges, Ralph, Ursula Rost, Sven Sahle, Katja Wengler, and Frank T. Bergmann. "The Systems Biology Markup Language (SBML) Level 3 Package: Layout, Version 1 Core." Journal of Integrative Bioinformatics 12, no. 2 (2015): 550–602. http://dx.doi.org/10.1515/jib-2015-267.

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SummaryMany software tools provide facilities for depicting reaction network diagrams in a visual form. Two aspects of such a visual diagram can be distinguished: the layout (i.e.: the positioning and connections) of the elements in the diagram, and the graphical form of the elements (for example, the glyphs used for symbols, the properties of the lines connecting them, and so on). For software tools that also read and write models in SBML (Systems Biology Markup Language) format, a common need is to store the network diagram together with the SBML representation of the model. This in turn rai

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Liu, Jingna, and Ye Zhao. "Spatial Density Network Voronoi Diagram." Open Cybernetics & Systemics Journal 8, no. 1 (2014): 1052–57. http://dx.doi.org/10.2174/1874110x014080101052.

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Yang, KwangSoo, Apurv Hirsh Shekhar, Dev Oliver, and Shashi Shekhar. "Capacity-Constrained Network-Voronoi Diagram." IEEE Transactions on Knowledge and Data Engineering 27, no. 11 (2015): 2919–32. http://dx.doi.org/10.1109/tkde.2015.2445756.

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Peng, Qing Song. "Extension Model of Influence Diagrams." Applied Mechanics and Materials 55-57 (May 2011): 1479–82. http://dx.doi.org/10.4028/www.scientific.net/amm.55-57.1479.

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An influence diagram is a kind of graphical model that can represent both the probabilistic relationship between variables and can easy to make decisions. It can make full use of Bayesian Network and Decisiton Tree. Influence Diagram should be modify to inprove the effiency to express relationships among variables. Extensional model of Influence Diagrams is introduced in this paper to express the new kind influence diagrams. And this kind of new model can be applied in the area of supply chain management.

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Rahmat, Adi, Soesy Asiah Soesilowaty, Eni Nuraeni, Yogi Yogi, Imam Nugroho, and Meilia Gemilawati. "REPRESENTASI MENTAL SISWA SMA DALAM MEMBACA GAMBAR BIOLOGI." Jurnal Pengajaran Matematika dan Ilmu Pengetahuan Alam 22, no. 1 (2017): 68–76. http://dx.doi.org/10.18269/jpmipa.v22i1.8384.

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In learning biology, teachers often use visual media, such as diagrams, to help students understand the concept. This study was focused on how students’ mental representation (MR) when they read biological diagrams, either representation convention diagram or spatial isomorphism diagram. The student’s MR was analyzed using a worksheet modified from an MR measurement model of CNET protocol. This model involves three main components of the MR’s working memory: causal network, probability parameter, and utility parameter. Ninety 11th grade students of a senior high school in Bandung voluntarily i

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Dong, Rongsheng, Yangyang Zhu, Zhoubo Xu, and Fengying Li. "Decision Diagram Based Symbolic Algorithm for Evaluating the Reliability of a Multistate Flow Network." Mathematical Problems in Engineering 2016 (2016): 1–13. http://dx.doi.org/10.1155/2016/6908120.

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Evaluating the reliability of Multistate Flow Network (MFN) is an NP-hard problem. Ordered binary decision diagram (OBDD) or variants thereof, such as multivalued decision diagram (MDD), are compact and efficient data structures suitable for dealing with large-scale problems. Two symbolic algorithms for evaluating the reliability of MFN, MFN_OBDD and MFN_MDD, are proposed in this paper. In the algorithms, several operating functions are defined to prune the generated decision diagrams. Thereby the state space of capacity combinations is further compressed and the operational complexity of the

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Peng, Qing Song. "Combine Influence Diagram with SCM Network." Advanced Materials Research 271-273 (July 2011): 98–101. http://dx.doi.org/10.4028/www.scientific.net/amr.271-273.98.

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With the change of the new century of supply chain management area, predicting result needs to be more accuracy to avoid “Bullwhip Effect”. Both influence diagram and supply chain network are directed acyclic graphs, we can use this characteristic to combine them together to make full use of them in logistic management area.

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Kohn, Kurt W., Mirit I. Aladjem, John N. Weinstein, and Yves Pommier. "Molecular Interaction Maps of Bioregulatory Networks: A General Rubric for Systems Biology." Molecular Biology of the Cell 17, no. 1 (2006): 1–13. http://dx.doi.org/10.1091/mbc.e05-09-0824.

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A standard for bioregulatory network diagrams is urgently needed in the same way that circuit diagrams are needed in electronics. Several graphical notations have been proposed, but none has become standard. We have prepared many detailed bioregulatory network diagrams using the molecular interaction map (MIM) notation, and we now feel confident that it is suitable as a standard. Here, we describe the MIM notation formally and discuss its merits relative to alternative proposals. We show by simple examples how to denote all of the molecular interactions commonly found in bioregulatory networks

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Kovalenko, Viktor, Serhii Levchenko, Mykola Tryputen, et al. "CHARACTERISTIC LAYOUTS OF DISTRIBUTION NETWORKS WITH THE ANALYSIS OF VOLTAGE DEVIATIONS AND EXPEDIENCY OF ITS CONTROL." TECHNICAL SCIENCES AND TECHNOLOGIES, no. 3(17) (2019): 209–18. http://dx.doi.org/10.25140/2411-5363-2019-3(17)-209-218.

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Urgency of the research. It is well-known that electric energy characteristics are the levels of electromagnetic compatibility of electric grid providing adequate performance of any electrical means connected to the grid if the electric energy characteristics do not exceed permitted values. In the context of general idea of electromagnetic compatibility of consumers within power supply grids, power quality is the topical problem of modern electric-power supply industry. Target setting. The issue of assessing the possibility of ensuring the quality of electricity in terms of voltage deviation b

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Hu, Haoxiang, Cangjun Gao, Yaokun Li, et al. "SpaceGTN: A Time-Agnostic Graph Transformer Network for Handwritten Diagram Recognition and Segmentation." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 3 (2024): 2211–19. http://dx.doi.org/10.1609/aaai.v38i3.27994.

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Online handwriting recognition is pivotal in domains like note-taking, education, healthcare, and office tasks. Existing diagram recognition algorithms mainly rely on the temporal information of strokes, resulting in a decline in recognition performance when dealing with notes that have been modified or have no temporal information. The current datasets are drawn based on templates and cannot reflect the real free-drawing situation. To address these challenges, we present SpaceGTN, a time-agnostic Graph Transformer Network, leveraging spatial integration and removing the need for temporal data

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Shcherban, Sergei, Peng Liang, Zengyang Li, and Chen Yang. "Multiclass Classification of UML Diagrams from Images Using Deep Learning." International Journal of Software Engineering and Knowledge Engineering 31, no. 11n12 (2021): 1683–98. http://dx.doi.org/10.1142/s0218194021400179.

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Unified Modeling Language (UML) diagrams are a recognized standard modeling language for representing design of software systems. For academic research, large cases containing UML diagrams are needed. One of the challenges in collecting such datasets is automatically determining whether an image is a UML diagram or not and what type of UML diagram an image contains. In this work, we collected UML diagrams from open datasets and manually labeled them into 10 types of UML diagrams (i.e. class diagrams, activity diagrams, use case diagrams, sequence diagrams, communication diagrams, component dia

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Van Erven, Gustavo Cordeiro Galvão, Rommel Novaes Carvalho, Waldeyr Mendes Cordeiro da Silva, Sergio Lifschitz, Harley Vera-Olivera, and Maristela Holanda. "Designing Graph Databases With GRAPHED." Journal of Database Management 30, no. 1 (2019): 41–60. http://dx.doi.org/10.4018/jdm.2019010103.

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In recent years, graph database systems have become very popular and been deployed mainly in situations where the relationship between data is significant, such as in social networks. Although they do not require a particular schema design, a data model contributes to their consistency. Designing diagrams is an approach to satisfying this demand for a conceptual data model. While researchers and companies have been developing concepts and notations for graph database modeling, their notations focus on their specific implementations. In this article, the authors propose a diagram to address thi

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Wang, Minghua, Ran Ou, and Yan Wang. "Multiplicatively weighted Voronoi-based sensor collaborative redeployment in software-defined wireless sensor networks." International Journal of Distributed Sensor Networks 18, no. 3 (2022): 155014772110699. http://dx.doi.org/10.1177/15501477211069903.

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Large-scale deployment of mobile wireless sensor networks has been widely used in some dangerous and hostile urban security surveillance scenarios. As a new network architecture, software-defined networks was introduced into wireless sensor networks to form a new software-defined wireless sensor networks to solve the problem of balanced large-scale deployment of sensor networks and simplify the complexity of network management. In this article, we first develop an original confident information coverage–based multiplicatively weighted Voronoi diagram through sensor clustering and sensor collab

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Plavsic, Vera, and Emil Secerov. "Modeling of login procedure for wireless application with interaction overview diagrams." Computer Science and Information Systems 5, no. 1 (2008): 87–108. http://dx.doi.org/10.2298/csis0801087p.

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In this paper we describe in details UML modeling of login procedure, which is a part of UserBarCodeReader application, developed for large stores and intended for use as a customer support during the shopping session. Login procedure is realized within access control system, in this case over a wireless network. Paper gives the whole modeling and implementation cycle of login procedure, from Use Case diagrams to the Java source code. Login procedure is modeled using interaction overview diagram, new in UML 2.0 which gives concise representation and divides complex sequence diagram into severa

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Mirzoyev, Narzullo. "Study on computerized measurement-control system for determining the condition of electrical network insulation and permitted connections for electrical energy consumption." E3S Web of Conferences 434 (2023): 01021. http://dx.doi.org/10.1051/e3sconf/202343401021.

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In this article electrical distribution in order to ensure the reliability and safe operation of networks, information is provided about the computerized measurement control system that allows determining the state of their insulation. In the article, the functional scheme of the computerized measurement and control system, which allows to determine the state of electrical network insulation and unauthorized connections to electricity, the structural diagram of the connection of the computerized measurement and control device to the electrical network, the structural diagram of the program dev

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Yu, Yi, Liang Wang, Xianglun Mo, Yao Yu, and Mei liu. "Macroscopic Fundamental Diagram based Road Network Characteristics Identification and Simulation." E3S Web of Conferences 165 (2020): 04051. http://dx.doi.org/10.1051/e3sconf/202016504051.

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As an inherent property of the road network, macroscopic fundamental diagram (MFD) method can effectively describe the traffic status of the urban roads and identify the relationship among key factors, such as traffic flow and occupancy. Currently, using MFD is easily affected by various network inner factors including topology and road density, so in this paper we propose a method to identify inner characteristic of road network and do a series of comparisons under different scenarios with fixed traffic input circumstance. The differential impact of data collector setting locations are discus

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Kozhanov, Adrian Ye. "Study of models of formal description of knowledge about information systems’ functional requirements using EER-diagram." Management Information System and Devises, no. 179 (November 27, 2023): 58–72. http://dx.doi.org/10.30837/0135-1710.2023.179.058.

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The object of research is a formal description of knowledge about the functional requirements for the information system. In processes that work with requirements, the basis for modeling requirements for an information system is often the representation of these requirements at the level of information, expressed in the form of their textual descriptions or visual models. Such processes can be considered as successive transformations of representations of requirements in the form of data, information and knowledge during the identification and formulation of requirements for an information sys

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Ware, Colin, and Robert Bobrow. "Supporting Visual Queries on Medium-Sized Node–Link Diagrams." Information Visualization 4, no. 1 (2005): 49–58. http://dx.doi.org/10.1057/palgrave.ivs.9500090.

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For reasons of clarity, a typical node–link diagram statically displayed on paper or a computer screen contains fewer than 30 nodes. However, many problems would benefit if far more complex information could be diagrammed. Following Munzner et al., we suggest that with interactive diagrams this may be possible. We describe an interactive technique whereby a subset of a larger network diagram is highlighted by being set into oscillatory motion when a node is selected with a mouse. The subset is determined by a breadth first search of the underlying graph starting from the selected node. This te

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He, Yanfeng, Yali Liu, Shuai Shao, et al. "Application of CNN-LSTM in Gradual Changing Fault Diagnosis of Rod Pumping System." Mathematical Problems in Engineering 2019 (November 3, 2019): 1–9. http://dx.doi.org/10.1155/2019/4203821.

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Owing to the importance of rod pumping system fault detection using an indicator diagram, indicator diagram identification has been a challenging task in the computer-vision field. The gradual changing fault is a special type of fault because it is not clearly indicated in the indicator diagram at the onset of its occurrence and can only be identified when an irreversible damage in the well has been caused. In this paper, we proposed a new method that combines the convolutional neural network (CNN) and long short-term memory (LSTM) network to perform a gradual changing fault classification. In

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Kohn, Kurt W. "Molecular Interaction Map of the Mammalian Cell Cycle Control and DNA Repair Systems." Molecular Biology of the Cell 10, no. 8 (1999): 2703–34. http://dx.doi.org/10.1091/mbc.10.8.2703.

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Eventually to understand the integrated function of the cell cycle regulatory network, we must organize the known interactions in the form of a diagram, map, and/or database. A diagram convention was designed capable of unambiguous representation of networks containing multiprotein complexes, protein modifications, and enzymes that are substrates of other enzymes. To facilitate linkage to a database, each molecular species is symbolically represented only once in each diagram. Molecular species can be located on the map by means of indexed grid coordinates. Each interaction is referenced to an

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Смирнов, А. В. "PREDICTION OF EYE-DIAGRAM PARAMETERS FROM TRANSIENT AND GAIN-FREQUENCY CHARACTERISTICS USING NEURAL NETWORK." МОДЕЛИРОВАНИЕ, ОПТИМИЗАЦИЯ И ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ 6, no. 3(22) (2018): 73–87. http://dx.doi.org/10.26102/2310-6018/2018.22.3.006.

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Исследована возможность оценки ширины и высоты глазка глазковой диаграммы (ГД) с применением искусственных нейронных сетей (ИНС). С этой целью выполнено моделирование более 750 примеров каналов связи с различными передаточными функциями. Для каждого примера сформирована ГД путем свертки случайной последовательности импульсов с импульсной характеристикой канала и измерены ее параметры. Полученные результаты использованы для обучения ИНС, входными переменными которых являются параметры переходной характеристики: длительность задержки, длительность фронта, величина выброса и длительность колебате

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Kim, Sunghoon, Sehyun Tak, and Hwasoo Yeo. "Investigating Transfer Flow between Urban Networks Based on a Macroscopic Fundamental Diagram." Transportation Research Record: Journal of the Transportation Research Board 2672, no. 20 (2018): 75–85. http://dx.doi.org/10.1177/0361198118778927.

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The aim of the concept of perimeter control is to manage the transfer flow between urban road networks. However, there is a lack of description on the behavior of transfer flow between networks in relation to the macroscopic fundamental diagram (MFD). Hence, this paper suggests a description of transfer flow and investigates it with microscopic simulation experiments. The results found that the network outbound demand strongly influences the outflow regardless of spatial inhomogeneity. Another finding is that the boundary capacity influences the network outflow. The effect of restriction on ou

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Lu, Xiaomin, and Haowen Yan. "An Algorithm to Generate a Weighted Network Voronoi Diagram Based on Improved PCNN." Applied Sciences 12, no. 12 (2022): 6011. http://dx.doi.org/10.3390/app12126011.

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The network Voronoi diagram has been extensively applied in many fields, such as influence area construction, location selection and urban planning, owing to its high accuracy and validity in space division. Taking advantage of parallel processing and auto-wave division of the pulse coupled neural network (PCNN), an algorithm for generating a weighted network Voronoi diagram is proposed in this paper. First, in order to better accommodate the scenes of urban facility points and road networks, the PCNN is improved. Second, the speed of the auto-wave in the improved PCNN is calculated by the wei

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Su, Ying Ying, Di Liang, and Hai Dong. "Integration of Process Routes Planning and Scheduling Based on Network Diagram and Ant Colony Algorithm." Advanced Materials Research 753-755 (August 2013): 1221–24. http://dx.doi.org/10.4028/www.scientific.net/amr.753-755.1221.

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The integration method based on network diagram and ant colony algorithm was proposed to realize integration of process routes planning and scheduling. A model of multiple process routes and resource (MPRR) network diagram was built, which applied the network diagram expression and represented the precedence constraint relationship among operations and resource conditions. In the model, the workpiece, operation and machine were joined together as a basic optimization cell to realize concurrent and holistic optimization for process routes planning and scheduling. The combination of MPRR network

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Zahra, N., and M. Ibrahim. "ON VE-DEGREE AND EV-DEGREE BASED TOPOLOGICAL INDICES OF CERTAIN OTIS BISWAPPED NETWORK." Advances in Mathematics: Scientific Journal 10, no. 6 (2021): 2887–908. http://dx.doi.org/10.37418/amsj.10.6.15.

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The optical transpose interconnection system (OTIS) arrange has numerous application in designed for equal just as in conveyed arrange. Distinctive interconnection networks has contemplated identified with topological descriptors in [\cite{25,26}]. The present article is a contribution to Ve-degree and Ev-degree base topological indices of biswapped network with premise diagram as path and complete graph. In addition, some delicated recipes are too gotten for various kinds of topological records for the OTIS biswapped network by taking the path and complete graph on $n$ vertices as premise of

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Brezina, Vladimir. "Beyond the wiring diagram: signalling through complex neuromodulator networks." Philosophical Transactions of the Royal Society B: Biological Sciences 365, no. 1551 (2010): 2363–74. http://dx.doi.org/10.1098/rstb.2010.0105.

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During the computations performed by the nervous system, its ‘wiring diagram’—the map of its neurons and synaptic connections—is dynamically modified and supplemented by multiple actions of neuromodulators that can be so complex that they can be thought of as constituting a biochemical network that combines with the neuronal network to perform the computation. Thus, the neuronal wiring diagram alone is not sufficient to specify, and permit us to understand, the computation that underlies behaviour. Here I review how such modulatory networks operate, the problems that their existence poses for

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Tundo, Tundo, and Andi Saidah. "PELATIHAN PENGGUNAAN E-DRAW MAX UNTUK MEMBUAT DESAIN SISTEM." KAMI MENGABDI 3, no. 1 (2023): 17–23. http://dx.doi.org/10.52447/km.v3i1.6801.

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Edraw Max is a 2D business technical diagram software that helps create flowcharts, organization charts, mind maps, network diagrams, floor plans, workflow diagrams, business charts and Engineering diagrams, flowcharts, graphs and mappings, besides E- Draw Max is also a vector-based diagramming software, which is usually used to make it easier to make a design. One of them is the design of a production process system in a factory that can use this application. In this training, the E-Draw Max tools will focus on making Data Flow Diagrams (DFD), which are useful for describing the flow of the c

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Yi, Junmin. "System Planning of Route Diagram for China Railway Passengers Based on Network and Ergonomics." Journal of Systems Science and Information 2, no. 2 (2014): 170–77. http://dx.doi.org/10.1515/jssi-2014-0170.

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AbstractFocus on the China Railway network and its planar route diagram for passengers, this study further extends network analysis to the representation of the railway network. After detail system analysis, backbone framework for the China Railway and its high-speed railway network is identified. With a straight-line principle, planning horizon till the year of 2020, and ergonomic pictogram measures, a brand new route diagram for China Railway passengers is created. This diagram will convey a new image and modern information of China Railway to meet the demand of passengers and the requiremen

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Rezaeva, M. A., and R. Y. Semendyaev. "Development and Application of Convolutional Neural Network for the Recognition of Objects in the Scheme of Electric Grid." Journal of Physics: Conference Series 2096, no. 1 (2021): 012020. http://dx.doi.org/10.1088/1742-6596/2096/1/012020.

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Abstract One of the current design problems in the electric power industry is the labor intensity of synthesizing mathematical models to calculate the electrical modes of the network. It takes a lot of time to compose a detailed model of a large power system based on circuit diagram data. To simplify, speed up, and automate the data input, a convolutional neural network is proposed. In this paper the definition of convolutional neural network is given, its elements are described, the architecture of neural network is developed, the accuracy of its work on the schematic diagrams of various powe

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Droste, Peter, Wolfgang Wiechert, and Katharina Nöh. "Semi-automatic drawing of metabolic networks." Information Visualization 11, no. 3 (2011): 171–87. http://dx.doi.org/10.1177/1473871611413565.

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In the living cell, biochemical reactions catalyzed by enzymes are the drivers for metabolic processes like growth, energy production, and replication. Metabolic networks are the representation of these processes describing the complex interactions of biochemical compounds. The large amount of manifold data concerning metabolic networks continually arising from current research activities in biotechnology leads to the great challenge of information visualization. Visualizing information in networks first of all requires appropriate network diagrams. In the context of metabolic networks, histor

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Fakhrmoosavi, Fatemeh, Ramin Saedi, Ali Zockaie, and Alireza Talebpour. "Impacts of Connected and Autonomous Vehicles on Traffic Flow with Heterogeneous Drivers Spatially Distributed over Large-Scale Networks." Transportation Research Record: Journal of the Transportation Research Board 2674, no. 10 (2020): 817–30. http://dx.doi.org/10.1177/0361198120940997.

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Connected and automated vehicle technologies are expected to significantly contribute in improving mobility and safety. As connected and autonomous vehicles have not been used in practice at large scale, there are still some uncertainties in relation to their applications. Therefore, researchers utilize traffic simulation tools to model the presence of these vehicles. There are several studies on the impacts of vehicle connectivity and automation at the segment level. However, only a few studies have investigated these impacts on traffic flow at the network level. Most of these studies conside

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Pakhomovа, V. N., T. I. Skaballanovich, and D. A. Lyakhov. "Possibility of the use of technology 100VG-100VG-anyLAN in the informative systems of railway transport." Science and Transport Progress, no. 41 (August 25, 2012): 197–202. http://dx.doi.org/10.15802/stp2012/8986.

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One of possible variants of association of networks of different technologies is presented with the use of concentrators and switchboards 100VG-аnyLAN at the level of linear enterprises of railway transport of Ukraine. The corresponding simulation model of network is worked out with a switchboard, in basis of which fixed bubble of port of switchboard diagram on the algorithm of transparent bridge and bubble of concentrator and station diagram 100VG-аnyLAN for determination of descriptions of network in priority and non-priority modes of processing of data. It is set that in a time of reaction

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Okahana, Yuuhi, and Yusuke Gotoh. "A Parallelizing Method for Generation of Voronoi Diagram Using Contact Zone." Journal of Data Intelligence 1, no. 2 (2020): 159–75. http://dx.doi.org/10.26421/jdi1.2-4.

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Due to the recent popularization of the Geographic Information System (GIS), spatial network environments that can display the changes of spatial axes on mobile devices are receiving great attention. In spatial network environments, since a query object that seeks location information selects several candidate target objects based on the search conditions, we often use a k-nearest neighbor (kNN) search, which seeks several target objects near the query object. However, since a kNN search needs to find the kNN by calculating the distance from the query to all the objects, the computational comp

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Wei, Bangyang, and Daniel(Jian) Sun. "A Two-Layer Network Dynamic Congestion Pricing Based on Macroscopic Fundamental Diagram." Journal of Advanced Transportation 2018 (August 1, 2018): 1–11. http://dx.doi.org/10.1155/2018/8616120.

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Dynamic congestion pricing has attracted increasing attentions during the recent years. Nevertheless, limited research has been conducted to address the dynamic tolling scheme at the network level, such as to cooperatively manage two alternative networks with heterogeneous properties, e.g., the two-layer network consisting of both expressway and arterial network in the urban areas. Recently, the macroscopic fundamental diagram (MFD) developed by both field experiments and simulation tests illustrates a unimodal low-scatter relationship between the mean flow and density network widely, providin

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Domina, Olena. "FEATURES OF FINDING OPTIMAL SOLUTIONS IN NETWORK PLANNING." EUREKA: Physics and Engineering, no. 6 (November 30, 2020): 82–96. http://dx.doi.org/10.21303/2461-4262.2020.001471.

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The object of research is a test network diagram, in relation to which the task of minimizing the objective function qmax/qmin→min is posed, which requires maximizing the uniformity of the workload of personnel when implementing an arbitrary project using network planning. The formulation of the optimization problem, therefore, assumed finding such times of the beginning of the execution of operations, taken as input variables, in order to ensure the minimum value of the ratio of the peak workload of personnel to the minimum workload. The procedure for studying the response surface propo

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Liu, Bing, Zhijun Lv, Nan Zhu, Dongyu Chang, and Mengxin Lu. "Precise Push Study of Sci-tech Journals Based on Knowledge Graph Reasoning." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 32, no. 04 (2024): 453–67. http://dx.doi.org/10.1142/s0218488524400038.

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To effectively promote the efficient dissemination of sci-tech journals and improve the influence of sci-tech journals, a precise push method of sci-tech journals based on knowledge graph reasoning is proposed, using knowledge graph to build network to realize push reasoning of scientific and Technological Journals. Based on the one-way author relationship network diagram and the two-way keyword network diagram, the PageRank algorithm is used to calculate the weight of network vertices, quantitatively and accurately identify the research direction of push customers and predict customers, and r

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Halakoo, Mohammad, Hao Yang, and Harith Abdulsattar. "Heterogeneity Aware Emission Macroscopic Fundamental Diagram (e-MFD)." Sustainability 15, no. 2 (2023): 1653. http://dx.doi.org/10.3390/su15021653.

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Transportation sector is one of the major producers of greenhouse gases which are responsible for climate change. Finding an appropriate emission estimation tool for large-scale networks is essential for developing efficient emission mitigation strategies. This paper presents an advanced version of the emission macroscopic fundamental diagram (e-MFD) which improves the stability and accuracy of the previous model. A bi-modal function is applied to separate free-flow and congested branches of the e-MFD. The accuracy of the proposed e-MFD is evaluated with both a synthetic grid network and a rea

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Janjic, Aleksandar. "Distribution Network Risk Assessment Using Multicriteria Fuzzy Influence Diagram." Advances in Fuzzy Systems 2018 (September 16, 2018): 1–10. http://dx.doi.org/10.1155/2018/1087820.

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Risk assessment of distribution assets is one of the most important factors in the process of network development or maintenance planning decision-making. The process of decision-making is faced with uncertainties, involving technical, financial, safety, environmental, and other operational issues that make standard risk assessment techniques insufficient. Probabilistic uncertainties require appropriate mathematical modeling and quantification when predicting future state of the nature or the value of certain parameters. The paper is proposing a new methodology for the multicriteria risk asses

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Wu, Hai Feng, Lin Ping Li, and Jin Ming Yang. "The Method Creating UML Model about Heat Pipe Network Data." Applied Mechanics and Materials 713-715 (January 2015): 2511–14. http://dx.doi.org/10.4028/www.scientific.net/amm.713-715.2511.

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The UML model of database is a frame foundation of developing a database, this paper recommends a way to build data model based on the urban heating pipe networks by using VISIO[1] modeling tools. There are two ways that Use Case Diagram and Static Structure Diagram. The article describes the function of database application system, data structure and relationship on the heating-pipe network. The data structure model makes it more clear and lower redundancy when the developers are developing an application system of database.

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Wang, Yu Sha, Ying Ping Huang, and Ren Jie Zhang. "Decision Strategy for Fault Troubleshooting Using Bayesian Influence Diagram." Applied Mechanics and Materials 385-386 (August 2013): 541–45. http://dx.doi.org/10.4028/www.scientific.net/amm.385-386.541.

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Using Bayesian Network is currently an effective solution to automotive fault diagnosis. However, Bayesian Networks can only be used to reason and calculate probability of component failure. During a fault troubleshooting process, apart from fault probability, diagnostic engineers also need consider the utilities of repair actions to make a sensible repair decision. The paper extends a Bayesian Network to a Bayesian influence diagram, which integrates the influences of both probability and utility. An automobile engine start-up failure is used as a case study to establish troubleshooting decis

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Azimi, S., M. R. Delavar, and A. Rajabifard. "MULTI-AGENT SIMULATION OF ALLOCATING AND ROUTING AMBULANCES UNDER CONDITION OF STREET BLOCKAGE AFTER NATURAL DISASTER." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W4 (September 27, 2017): 325–32. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w4-325-2017.

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In response to natural disasters, efficient planning for optimum allocation of the medical assistance to wounded as fast as possible and wayfinding of first responders immediately to minimize the risk of natural disasters are of prime importance. This paper aims to propose a multi-agent based modeling for optimum allocation of space to emergency centers according to the population, street network and number of ambulances in emergency centers by constraint network Voronoi diagrams, wayfinding of ambulances from emergency centers to the wounded locations and return based on the minimum ambulance

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Hu, Guojing, Weike Lu, Feng Wang, and Robert W. Whalin. "Macroscopic Fundamental Diagram Based Discrete Transportation Network Design." Journal of Advanced Transportation 2020 (January 20, 2020): 1–13. http://dx.doi.org/10.1155/2020/4951953.

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The presence of demand uncertainty brings challenges to network design problems (NDP), because fluctuations in origin-destination (OD) demand have a prominent effect on the corresponding total travel time, which is usually adopted as an index to evaluate the network design problem. Fortunately, the macroscopic fundamental diagram (MFD) has been proved to be a property of the road network itself, independent of the origin-destination demand. Such characteristics of an MFD provide a new theoretical basis to assess the traffic network performance and further appraise the quality of network design

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Lin, Hai Feng, Anna Jiang, Di Bai, and Yun Fei Liu. "Energy-Efficient Node Scheduling for Dense Wireless Sensor Networks Using Voronoi Diagram." Applied Mechanics and Materials 236-237 (November 2012): 1054–66. http://dx.doi.org/10.4028/www.scientific.net/amm.236-237.1054.

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A wireless sensor network consists of distributed devices which can monitor physical and environmental conditions and have a lot of applications, such as environmental monitoring, habitat monitoring, object tracking, nuclear reactor controlling, fire detection and traffic monitoring. Although it has a lot of potential applications, a wireless sensor network is highly energy constrained. Limited energy resource to the sensor becomes an obstacle for its applications and efficient usage of energy helps in improving the network lifetime. Suppose a network has a high-density of sensor nodes, there

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