Showing 141 - 160 results of 185 for search '"computer server"', query time: 0.78s Refine Results
  1. 141

    Exploring the Intersection of Consortium Blockchain Technologies and Multi-Access Edge Computing: Chronicles of a Proof of Concept Demo by Angelo Vera-Rivera, Ekram Hossain, Ahmed Refaey Hussein

    Published 2022-01-01
    “…In this article, we present the chronicles of EdgeChain network, a proof of concept demo of a blockchain-based model for secure and private task sharing collaboration specially designed for edge computing servers. EdgeChain operates on a decentralized approach that counts on the blockchain services provided by the Hyperledger Fabric platform. …”
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    Article
  2. 142

    RANCANG BANGUN SISTEM LOCK AND CONTROLLING CLASS ROOMS (LCCR) BERBASIS RASPBERRY PI by , MOCHAMAD SUBIANTO, , Dr. Agfianto Eko Putra, M.Si.

    Published 2013
    “…Use MySQL database for central data is plased on computer servers so that the concept can be applied to many LCCR room or some Raspberry Pi. …”
    Thesis
  3. 143

    Implementing circularity measurements in industry 4.0-based manufacturing metrology using MQTT protocol and Open CV: A case study by Saif, Yazid, Yusof, Yusri, M. Rus, Anika Zafiah, Ghaleb, Atef M., Mejjaouli, Sobhi, Al-Alimi, Sami, Didane, Djamal Hissein, Latif, Kamran, Abdul Kadir, Aini Zuhra, Alshalabi, Hamood, Sadeq, Safwan

    Published 2023
    “…The Internet of Things (IoT) technology enables seamless communication between advanced industrial devices through local and cloud computing servers. This study investigates the use of the MQTT protocol to enhance the performance of circularity measurement data transmission between cloud servers and round-hole data sources through Open CV. …”
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    Article
  4. 144

    csdR, an R package for differential co-expression analysis by Jakob P. Pettersen, Eivind Almaas

    Published 2022-02-01
    “…Conclusion The results suggest that csdR is a useful tool for differential co-expression analysis and is able to generate robust results within a workday on datasets of realistic sizes when run on a workstation or compute server.…”
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    Article
  5. 145

    Real Time Building Evacuation Modeling with an Improved Cellular Automata Method and Corresponding IoT System Implementation by Yanping Ji, Wensi Wang, Mengyi Zheng, Shuo Chen

    Published 2022-05-01
    “…Custom-designed wireless sensors, artificial intelligence (A.I.) enhanced surveillance cameras, intelligent emergency signage systems, and edge computing servers are used to sample fire and crowd data, operate the intelligent evacuation algorithm, and guide the crowd with the signage system in real-time conditions. …”
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    Article
  6. 146

    Online Workload Allocation via Fog-Fog-Cloud Cooperation to Reduce IoT Task Service Delay by Lei Li, Mian Guo, Lihong Ma, Huiyun Mao, Quansheng Guan

    Published 2019-09-01
    “…By offloading tasks to a geographically proximal fog computing server instead of a remote cloud, the delay performance can be greatly improved. …”
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    Article
  7. 147

    SEMS-5G: A Secure and Efficient Multi-Server Authentication Scheme for 5G Networks by Azeem Irshad, Mohammed Alreshoodi

    Published 2024-01-01
    “…To meet such requirements with the realization of 5G network technology as well as the qualification for cloud-based services, the resource deficient mobile end users must gain secure access to remote cloud computing servers. A robust multiserver authentication may ensure the stipulated computational efficiency for authenticated key agreements in 5G networks. …”
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    Article
  8. 148

    EdgeDB: An Efficient Time-Series Database for Edge Computing by Yang Yang, Qiang Cao, Hong Jiang

    Published 2019-01-01
    “…Massive time-series data streams from high-sampling-frequency sensors in Internet of Things (IoT) can overwhelm the networks connecting the sensors to centralized clouds. Thus, edge computing servers have to be introduced to locally store and analyze growing time-series data. …”
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    Article
  9. 149

    Energy-Aware Collaborative Computation Offloading Over Mobile Edge Computation Empowered Fiber-Wireless Access Networks by Chao He, Ruyan Wang, Zefu Tan

    Published 2020-01-01
    “…With the emergence of smart mobile devices (SMDs) and mobile applications, the cloud-mobile edge computing (MEC) collaborative computation offloading (CMCCO) scheme, i.e., offloading the computation-intensive task from the local SMD to either the MEC server, or the remote mobile cloud computing server (MCC), is widely identified as a promising candidate under the conflict between SMDs' limited computing ability and computing-intensive application requiring higher energy consumption. …”
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    Article
  10. 150

    Performance analysis of parallel virtual machine in solving large-scale multi-dimensional problems by Bharun, Nur Fariha, Alias, Norma, Ismail, Fatimah Sham, Saipan, Hafizah Farhah, Suardi, Muhammad Syahid

    Published 2022
    “…MATLAB Distributed Computing Server (MDCS) and Parallel Virtual Machine (PVM) software are two types of distributed computing environments. …”
    Book Section
  11. 151

    Performance analysis of parallel virtual machine in solving large-scale multi-dimensional problems by Bharun, Nur Fariha, Alias, Norma, Ismail, Fatimah Sham, Saipan, Hafizah Farhah, Suardi, Muhammad Syahid

    Published 2022
    “…MATLAB Distributed Computing Server (MDCS) and Parallel Virtual Machine (PVM) software are two types of distributed computing environments. …”
    Conference or Workshop Item
  12. 152

    Honeypot Log Analysis as a Network Security Support by Tri Widodo, Elvanisa Ayu Muhsina, Bambang Sugiantoro

    Published 2013-05-01
    “…The result published by those researchers is a DDOS attack was happen at January 18th and 19th 2003 that caused one of the computer servers with IP (internet protocol) 10.1.1.101 went down at January 19th 2003. …”
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    Article
  13. 153

    Cascaded Segmentation U-Net for Quality Evaluation of Scraping Workpiece by Hsin-Chung Yin, Jenn-Jier James Lien

    Published 2023-01-01
    “…Hence, in this research, an edge-cloud computing system was developed to obtain the relevant parameters, which are the percentage of point (POP) and the peak point per square inch (PPI), for evaluating the quality of scraping workpieces. On the cloud computing server-side, a novel network called cascaded segmentation U-Net is proposed to high-quality segment the height of points (HOP) (around 40 μm height) in favor of small datasets training and then carries out a post-processing algorithm that automatically calculates POP and PPI. …”
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    Article
  14. 154

    i-Stow : enabling stowage planning service over the web by Aung, Kyaw Win

    Published 2014
    “…The cloud service is hosted in a high performance computing server. Application maintenance and upgrades are handled by the developer team and hence it will reduce the burden on industrial logistic teams. …”
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    Final Year Project (FYP)
  15. 155

    Parallelization of multidimensional hyperbolic partial differential equation on détente instantanée contrôlée dehydration process by Saipan @ Saipol, Hafizah Farhah

    Published 2017
    “…The parallelization of the mathematical model is run on Matlab Distributed Computing Server with Linux operating system. The parallel performance evaluation of multidimensional simulation in terms of execution time, speedup, efficiency, effectiveness, temporal performance, granularity, computational complexity and communication cost are analyzed for the performance of parallel algorithm. …”
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    Thesis
  16. 156

    Embedded-Based Graphics Processing Unit Cluster Platform for Multiple Sequence Alignments by Jyh-Da Wei, Hui-Jun Cheng, Chun-Yuan Lin, Jin Ye, Kuan-Yu Yeh

    Published 2017-08-01
    “…These desktop GPU cards should be installed in personal computers/servers with desktop CPUs, and the cost and power consumption of constructing a GPU cluster platform are very high. …”
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    Article
  17. 157

    Advancements in Roundness Measurement Parts for Industrial Automation Using Internet of Things Architecture-Based Computer Vision and Image Processing Techniques by Yazid Saif, Anika Zafiah M. Rus, Yusri Yusof, Maznah Lliyas Ahmed, Sami Al-Alimi, Djamal Hissein Didane, Anbia Adam, Yeong Hyeon Gu, Mohammed A. Al-masni, Hakim Qaid Abdullah Abdulrab

    Published 2023-10-01
    “…In the current technological landscape, the Internet of Things (IoT) holds significant value, especially for industrial devices that require seamless communication with local and cloud computing servers. This research focuses on the advancements made in roundness measurement techniques for industrial automation by leveraging an IoT architecture, computer vision, and image processing. …”
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    Article
  18. 158

    Computation Offloading Strategy in Mobile Edge Computing by Jinfang Sheng, Jie Hu, Xiaoyu Teng, Bin Wang, Xiaoxia Pan

    Published 2019-06-01
    “…In the task scheduling stage, a task scheduling model based on the improved auction algorithm has been proposed by considering the time requirement of the computing tasks and the computing performance of the mobile edge computing server. Extensive simulations have demonstrated that the proposed computation offloading strategy could effectively reduce service delay and the energy consumption of intelligent devices, and improve user experience.…”
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    Article
  19. 159

    Risk Assessment Edge Contract for Efficient Resource Allocation by Minghui Sheng, Hui Wang, Maode Ma, Yiying Sun, Run Zhou

    Published 2024-03-01
    “…In this paper, we delve into an edge scenario comprising multiple Edge Computing Servers (ECSs), multiple Device-to-Device (D2D) Edge Nodes (ENs), and multiple edge devices. …”
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    Article
  20. 160

    Software Defined Network-Based Multi-Access Edge Framework for Vehicular Networks by Lionel Nkenyereye, Lewis Nkenyereye, S. M. Riazul Islam, Chaker Abdelaziz Kerrache, M. Abdullah-Al-Wadud, Atif Alamri

    Published 2020-01-01
    “…To bridge the gap between the two technologies, the conventional EC is enhanced to multi-access edge computing (MEC) by collocating the edge computing servers with the radio access networks. In order to improve the latency for V2X services, we propose in this paper, an SDN-based multi-access edge computing framework for the vehicular networks (SDMEV). …”
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    Article