Accurate and efficient molecular dynamics based on machine learning and non von Neumann architecture by Pinghui Mo, Chang Li, Dan Zhao, Yujia Zhang, Mengchao Shi, Junhua Li, Jie Liu

“…The proposed MD methodology has been deployed on an in-house computing server based on reconfigurable field programmable gate array (FPGA), which is freely available at http://nvnmd.picp.vip .…”
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SWECO25: a cross-thematic raster database for ecological research in Switzerland by Nathan Külling, Antoine Adde, Fabian Fopp, Anna K. Schweiger, Olivier Broennimann, Pierre-Louis Rey, Gregory Giuliani, Teresa Goicolea, Blaise Petitpierre, Niklaus E. Zimmermann, Loïc Pellissier, Florian Altermatt, Anthony Lehmann, Antoine Guisan

“…In Switzerland, as in many other countries, available data are scattered across computer servers of research institutions and are rarely provided in standard formats (e.g., different extents or projections systems, inconsistent naming conventions). …”
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Computation Offloading and Resource Allocation for Vehicle-Assisted Edge Computing Networks With Joint Access and Backhaul by Bo Huang, Yan Zhou, Xu Zhang, Jie Chen, Li Shang

“…The edge computing utilizes vehicles as resources to assist in computational offloading can shorten the distance between users and computing servers, thereby improving the reliability of communication between them. …”
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Efficient Collaborative Edge Computing for Vehicular Network Using Clustering Service by Ali Al-Allawee, Pascal Lorenz, Alhamza Munther

“…The objectives are achieved by utilizing the cluster management strategies deployed between cloud and edge computing servers. The framework is implemented in OpenStack cloud servers and evaluated by measuring the throughput, latency, and memory parameters in two different scenarios. …”
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Utilization of FPGA for Onboard Inference of Landmark Localization in CNN-Based Spacecraft Pose Estimation by Kiruki Cosmas, Asami Kenichi

“…In the latter, they are facilitated by powerful computers, servers, and shared resources, such as cloud services. …”
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Energy-Efficient and QoS-Aware Computation Offloading in GEO/LEO Hybrid Satellite Networks by Wenkai Lv, Pengfei Yang, Yunqing Ding, Zhenyi Wang, Chengmin Lin, Quan Wang

“…Benefiting from advanced satellite payload technologies, edge computing servers can be deployed on satellites to achieve orbital computing and reduce the mission processing delay. …”
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Malware Image Classification Using Deep Learning InceptionResNet-V2 and VGG-16 Method by Didih Rizki Chandranegara, Jafar Shodiq Djawas, Faiq Azmi Nurfaizi, Zamah Sari

“…Malware is intentionally designed to damage computers, servers, clients or computer networks. Malware is a general term used to describe any program designed to harm a computer or server. …”
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Parallelization of a Numerical Algorithm for Solving the Cauchy Problem for a Nonlinear Differential Equation of Fractional Variable Order Using OpenMP Technology by Tverdyi, D.A., Parovik, R.I., Hayotov, A.R., Boltaev, A.K.

“…These algorithms were run on two different computing systems: a gaming laptop and a computing server. For a non-local explicit scheme, a significant performance increase of 3-5 times is shown for various methods of software implementation.…”
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PriRepVGG: Privacy-Preserving 3-Party Inference Framework for Image-Based Defect Detection by Jiafu Liu, Zhiyuan Yao, Shirui Guo, Hongjun Xie, Genke Yang

“…Our work applied PriRepVGG to the secure inference of the diamond substrates defect detection under the data server, model server, and compute server settings, which can be carried out in batches with a low misjudgment rate and verify the feasibility of image-based secure inference with a lightweight network in an industrial case under MPC.…”
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A Design and Application of Municipal Service Platform Based on Cloud-Edge Collaboration for Smart Cities by Jingmin Yang, Trong-Yen Lee, Wen-Ta Lee, Li Xu

“…The cloud side is a cloud computing server, and the edge side are the self-service terminals integrating various edge computing devices with Artificial Intelligence (AI) embedded. …”
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A Capillary Computing Architecture for Dynamic Internet of Things: Orchestration of Microservices from Edge Devices to Fog and Cloud Providers by Salman Taherizadeh, Vlado Stankovski, Marko Grobelnik

“…A car equipped with a Motorhome Artificial Intelligence Communication Hardware (MACH) system as an Edge node connected to several Fog and Cloud computing servers was used for testing. Compared to using a fixed centralized Cloud provider, the service response time provided by our proposed capillary computing architecture was almost four times faster according to the 99th percentile value along with a significantly smaller standard deviation, which represents a high QoS.…”
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Prototype of an Emergency Response System Using IoT in a Fog Computing Environment by Iván Ortiz-Garcés, Roberto O. Andrade, Santiago Sanchez-Viteri, William Villegas-Ch.

“…The internet of things has a wide variety of devices connected to the network, which can saturate the central links to cloud computing servers. IoT applications that are sensitive to response time are affected by the distance that data is sent to be processed for actions and results. …”
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Research on airport baggage anomaly retention detection technology based on machine vision, edge computing, and blockchain by Yuzhou Chen, Gang Mao, Xue Yang, Mingqian Du, Hongqing Song

“…The deployment of edge computing servers can significantly reduce algorithm latency and enhance real‐time performance. …”
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Simulation of Thermal Energy Removal from Processors Using Air Coolers by G. A. Piskun, V. F. Alexeev, A. N. Belikov, D. G. Rybakov

“…The necessity of using AC in such modern technical means as personal computers, servers, computer systems, etc., in which there are no restrictions on providing weight and size parameters has been experimentally proved.…”
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Location deployment of depots and resource relocation for connected car-sharing systems through mobile edge computing by Xiaolu Zhu, Jinglin Li, Zhihan Liu, Fangchun Yang

“…This article proposes a mobile edge computing–based connected car framework which uses normal taxis as connected cars to describe their Global Positioning System trajectory and perform the computing tasks in each mobile edge computing server independently. A spatial–temporal demand coverage approach is developed to optimize the location of depots. …”
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Priority-Based Cloud Computing Architecture for Multimedia-Enabled Heterogeneous Vehicular Users by Amjad Ali, Hongwu Liu, Ali Kashif Bashir, Shaker El-Sappagh, Farman Ali, Adeel Baig, Daeyoung Park, Kyung Sup Kwak

“…In the proposed scheme, we divide multimedia processing into four different subphases, while computing resources to each computing server are assigned dynamically, according to the workload, in order to process multimedia tasks according to the multimedia user Quality of Experience (QoE) requirements. …”
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A Guide to Data Collection for Computation and Monitoring of Node Energy Consumption by Alberto del Rio, Giuseppe Conti, Sandra Castano-Solis, Javier Serrano, David Jimenez, Jesus Fraile-Ardanuy

“…These patterns are suitable to be exploited by machine, deep, and reinforced learning techniques in pursuit of energy consumption optimization, which can ideally improve the energy efficiency of data centers and big computing servers providing these kinds of services. For the application of these techniques, it is essential to investigate data collection processes to create initial information points. …”
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Joint resource allocation and security redundancy for autonomous driving based on deep reinforcement learning algorithm by Han Zhang, Hongbin Liang, Lei Wang, Yiting Yao, Bin Lin, Dongmei Zhao

“…This paper establishes an urban road scenario with multiple autonomous vehicles and an edge computing server and considers two main driving behaviour transition resource requests, namely car‐following behaviour requests and lane‐changing behaviour requests. …”
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Resource-Optimized Vehicular Edge Networks With Fairness Constraints by Aamir Rashid, Latif U. Khan, Naeem Khan, Hong Min, Ayaz Ahmad, Shabir Ahmad

“…One can install edge computing servers at the roadside units (RSUs). There must be seamless communication between the edge servers and the cars. …”
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A Distributed Deadlock-Free Task Offloading Algorithm for Integrated Communication–Sensing–Computing Satellites with Data-Dependent Constraints by Ruipeng Zhang, Yikang Yang, Hengnian Li

“…Integrated communication–sensing–computing (ICSC) satellites, which integrate edge computing servers on Earth observation satellites to process collected data directly in orbit, are attracting growing attention. …”
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