Connectomes as holographic states by Dmitry Melnikov

“…We use the topological quantum field theory description of states in Chern-Simons theory to discuss the relation between spacetime connectivity and entanglement, exploring the paradigm entanglement=topology. …”
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A Two-Stage Wind Grid Inverter with Boost Converter by Yanbo Che, Wen Zhang, Leijiao Ge, Jijie Zhang

“…In this paper, we apply a two-voltage stage topology with boost converter. The boost circuit is to achieve the maximum power output of the wind energy by the segmented regulation, while the improved inverter topology realizes the overall system function with the former stage circuit. …”
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On Some Basic Theorems of Continuous Module Homomorphisms between Random Normed Modules by Guo Tiexin

“…We first prove the resonance theorem, closed graph theorem, inverse operator theorem, and open mapping theorem for module homomorphisms between random normed modules by simultaneously considering the two kinds of topologies—the -topology and the locally -convex topology for random normed modules. …”
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Research on task offloading algorithm of mobile edge computing based on deep reinforcement learning in SDCN by Shouhua JIANG, Yiwu WANG

“…With the continuous development of network technology, the network topology distributed network control mode based on Fat-Tree gradually reveals its limitations.Software-defined data center network (SDCN) technology, as an improved technology of Fat-Tree network topology, has attracted more and more researchers’ attention.Firstly, an edge computing architecture in SDCN and a task offloading model based on the three-layer service architecture of the mobile edge computing (MEC) platform were built, combined with the actual application scenarios of the MEC platform.Through the same strategy experience playback and entropy regularization, the traditional deep Q-leaning network (DQN) algorithm was improved, and the task offloading strategy of MEC platform was optimized.An improved DQN algorithm based on same strategy empirical playback and entropy regularization (RSS2E-DQN) was compared with three other algorithms in load balancing, energy consumption, delay and network usage.It is verified that the improved algorithm has better performance in the above four aspects.…”
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Data Aggregation in Heterogeneous Wireless Sensor Networks by Using Local Tree Reconstruction Algorithm by Zhaohui Zhang, Jing Li, Xiaoli Yang

“…Finally, the lifetime of the network is prolonged by real-time updating of the topology of the tree during the data transmission. …”
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Deep First Formal Concept Search by Tao Zhang, Hui Li, Wenxue Hong, Xiamei Yuan, Xinyu Wei

“…With the basic idea of Depth First Search, this paper presents a visualization algorithm by the attribute topology of formal context. Limited by the constraints and calculation rules, all concepts are achieved by the visualization global formal concepts searching, based on the topology degenerated with the fixed start and end points, without repetition and omission. …”
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Enhance the Probability of Detection of Cooperative Spectrum Sensing in Cognitive Radio Networks Using Blockchain Technology by D. Balakumar, Nandakumar Sendrayan

“…To gauge the efficiency of the proposed topology, performance metrics like sensitivity, node selection, throughput measurement, and energy efficiency are used. …”
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Peer-to-Peer Multicasting Inspired by Huffman Coding by Bartosz Polaczyk, Piotr Chołda, Andrzej Jajszczyk

“…To create the appropriate multicast tree topology, a round-trip-time (RTT) value is used as a parameter distinguishing peers capabilities. …”
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Fully Canonical Triple-Mode Filter with Source-Load Coupling for 5G Systems by Cristóbal López-Montes, José R. Montejo-Garai

“…The fully canonical topology allows for increasing the selectivity of the filter since the number of finite transmission zeros is equal to the order of the filter. …”
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Recovery mechanism of large-scale damaged edge computing network in industrial Internet of things by Hui TIAN, Hao WU, Yang TIAN, Jianyang REN, Yajuan CUI, Wenbao AI, Jianhua YUAN

“…Given the limited resources at early stages for recovery, a failure recovery mechanism of the edge computing network considering both computational demands and repair costs was proposed, which intends to tackle the problem of the high probability of large-scale cascading failure caused by the interdependence between the edge computing network and other subnetworks in industrial Internet of things (IIoT).Considering the network structure (topology and link capacity) and network dynamics (computational demands), a joint link recovery selection and computation migration optimization problem was formulated under the conservation of node computing requirements.By leveraging the Benders decomposition algorithm, the NP-hard problem was transformed into a main problem and a sub-problem, which were interdependent and could be solved in polynomial time through the approximation of cutting planes.A local branching method was further introduced to guarantee the non-increasing nature of the Benders upper bound, thus accelerating the convergence of Benders decomposition.Simulation results demonstrate that the proposed algorithm outperforms the conventional topology-based recovery algorithm in system utility, and can perform well in multiple scenarios.…”
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Optimal Allocation of Combined Renewable Distributed Generation and Capacitor Units for Interconnection Cost Reduction by Saad Ouali, Abdeljebbar Cherkaoui

“…An analytical optimization method is developed, with the inclusion of practical considerations that are typically neglected in developed works: network topology reconfiguration and the geographical data of the generation land-use and network infrastructure. …”
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Soft Separation Axioms and Fixed Soft Points Using Soft Semiopen Sets by T. M. Al-shami

“…Further, we investigate some interrelations of them and some soft topological notions such as soft compactness, product soft spaces, and sum of soft topological spaces. …”
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A Form Finding Method for Arch Bridges Using Parametric Level Set Method by Yadong Shen, Jianhu Feng, Xiaohan Cheng, Xuntao Wang, Changhao Zhang

“…Topology optimization has developed rapidly in the past three decades; as a creative and efficient optimization technique, it has been applied in engineering fields of aerospace and mechanical. …”
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Cooperative Midcourse Guidance Law with Communication Delay by Zihao Wu, Quanbin Ren, Zhiqing Luo, Yangwang Fang, Wenxing Fu

“…To solve the above problems, a novel distributed cooperative midcourse guidance (DCMG) law with communication delay is proposed by combining the cooperative term with a distributed consensus protocol including communication delay under the directed communication topology. Firstly, a DCMG law with communication delay is designed by combining the trajectory shaping guidance with the distributed protocol including communication delay under the directed communication topology; secondly, the consensus of the proposed DCMG law with communication delay under the directed graph is proved; finally, the effectiveness and superiority of the proposed DCMG law are verified by numerical simulations.…”
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Highly Efficient and achromatic mid-infrared silicon nitride meta-lenses by Abdullah Maher, Mohamed A. Swillam

“…Abstract Inverse design with topology optimization considers a promising methodology for discovering new optimized photonic structure that enables to break the limitations of the forward or the traditional design especially for the meta-structure. …”
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Contact plan design based on bi-directional particle swarm optimization in satellite network by Cuiqin DAI, Huang TANG, Linfeng GUO

“…Aiming at the problems of time-varying topology,intermittent connection,and constrained resource in satellite network,a contact plan design (CPD) scheme based on bi-directional particle optimization (BPSO) algorithm was proposed.Firstly,the task-based time-expanded graph (TEG) model was constructed through the analysis of resource-constrained time-varying satellite network.Next,available contact plan (CP) in satellite network were generated through initialization,coding and repairing by considering the discreteness of network topology and the limitation of node resources.Then,an evaluation function was designed according to the characteristics of the execution task to distinguish whether the generated available CP was good or bad.Finally,the bits to be corrected in the worst location were determined according to the sparse characteristics of links in CP,and the CP was continuously modified by the proposed BPSO algorithm to optimize the performance of spatial data transmission.The simulation results show that the proposed BPSO-based CPD scheme can effectively reduce the task delivery time and increase the task arrival rate.…”
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Delay-Sensitive Multi-Sensor Routing Scheduling Method for Underground IoT in Mines by Yinghui Zhang, Mingli Liu, Aiping Tan

“…Based on this topology, a multi-sensor and multi-base-station real-time routing scheduling problem is proposed, proving that the problem is NP-hard. …”
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Distance aware route algorithm for cloud computing based on CAN by HAN Zhi-jie1, HUANG Liu-sheng1, WANG Ru-chuan2, SUN Li-juan2, SHENG Ming1

“…Based on the traditional CRP mechanism,a new mechanism called M-CRP which is more adapt to the cloud computer mechanism was advanced.Based on traditional CAN,a new mechanism called M-CRP-CAN which make full use of M-CRP and make not only the CAN framework structure award of the physical location of nodes was advanced,but also the routing mechanism give more thought about the physical topology.The self-adaption can make the M-CRP-CAN has more ability to change according to the net status.In network simulation platform,the experimental results show that M-CRP’s performance is better than CRP in aspect of efficiency and precision.This M-CRP improves CRP from aspect of efficiency,precision and performance with multi-level mechanism,which make the node in cloud,has more perception to the underlying topology.In the meantime the M-CRP-CAN with M-CRP approach has realized localization download and greatly raised the data transfer rate,reduced the cross-traffic in backbone network and improve the network performance therefore enhance cloud computing system efficiency.…”
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Research and Modeling of the Bidirectional Half-Bridge Current-Doubler DC/DC Converter by Liang Huang, Xinchao Dong, Changjun Xie, Shuhai Quan, Yang Gao

“…Due to its high step-up voltage ratio, high utilization rate, and good stability, the bidirectional half-bridge current-doubler topology is widely used in lithium battery system. …”
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Harnessing distributed GPU computing for generalizable graph convolutional networks in power grid reliability assessments by Somayajulu L.N. Dhulipala, Nicholas Casaprima, Audrey Olivier, Bjorn C. Vaagensmith, Timothy R. McJunkin, Ryan C. Hruska

“…Although machine learning (ML) has emerged as a powerful tool for rapidly assessing grid contingencies, prior studies have largely considered a static grid topology in their analyses. This limits their application, since they need to be re-trained for every new topology. …”
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