Energy-aware scheduling policy for data-intensive workflow by Peng XIAO, Zhi-gang HU, Xi-long QU

“…With the increasing scale of data centers,high energy consumption has become a critical issue in high-performance computing area.To address the issue of energy consumption optimization for data-intensive workflow applications,a set of virtual data-accessing nodes are introduced into the original workflow for quantitatively evaluating the data-accessing energy consumption,by which a novel heuristic policy called minimal energy consumption path is designed.Based on the proposed heuristic policy,two energy-aware scheduling algorithms are implemented,which are deprived from the classical HEFT and CPOP scheduling algorithms.Extensive experiments are conducted to investigate the performance of the proposed algorithms,and the results show that they can significantly reduce the data-accessing energy consumption.Also,the proposed algorithms show better adaptive when the system is in presence of large-scale workflows.…”
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Incorporating Multimodal Directional Interpersonal Synchrony into Empathetic Response Generation by Jingyu Quan, Yoshihiro Miyake, Takayuki Nozawa

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IMPACT OF CELEBRITY STATEMENTS ON INTERNET SEARCHES ON THE USE OF SEMAGLUTIDE FOR WEIGHT LOSS by S. PROVENZANO, O.E. SANTANGELO2,3

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Emotion classification with multi‐modal physiological signals using multi‐attention‐based neural network by Chengsheng Zou, Zhen Deng, Bingwei He, Maosong Yan, Jie Wu, Zhaoju Zhu

“…The performance of the designed network is evaluated with the open‐source Wearable Stress and Affect Detection dataset. …”
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QUALITY ANALYSIS OF THE ELECTRONIC GOVERNMENT PROCUREMENT ORDER SYSTEM USING WEBQUAL AND EUCS METHODS by Muhammad Anshar Maulidi, Evi Dwi Wahyuni, Briansyah Setio Wiyono

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Developing a Provable Secure and Cloud-Centric Authentication Protocol for the e-Healthcare System by Abdulrahman Alzahrani

“…The efficacy of the proposed scheme is demonstrated by evaluating storage, computation, and communication costs. …”
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Real-time analysis of Delphi panel data to facilitate iterative rating within meetings by Julien B. Weinstein, Cainnear K. Hogan, Taylor Whittington, Jennifer Cano, Sarah M. Seelye, Jeremy B. Sussman, Steven J. Bernstein, Hallie C. Prescott

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Implementation of a Data-Parallel Approach on a Lightweight Hash Function for IoT Devices by Abdullah Sevin

“…There is a need for lightweight algorithms that can efficiently utilize multi-core platforms or distributed computing environments with high degrees of parallelization. …”
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Algorithms for online fault tolerance server consolidation by Boyu Li, Bin Wu, Meng Shen, Hao Peng, Weisheng Li, Hong Zhang, Jie Gan, Zhihong Tian, Guangquan Xu

“…In this mechanism, each item represents a computing task and is replicated into ξ+1 servers for some integer ξ≥1, with workloads specified by the amount of required resources. …”
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Characterizing the Inter-Core Qubit Traffic in Large-Scale Quantum Modular Architectures by Sahar Ben Rached, Isaac Lopez Agudo, Santiago Rodrigo, Medina Bandic, Artur Garcia-Saez, Sebastian Feld, Hans van Someren, Eduard Alarcon, Carmen G. Almudever, Sergi Abadal

“…Modular quantum processor architectures are envisioned as a promising solution for the scalability of quantum computing systems beyond the Noisy Intermediate Scale Quantum (NISQ) era. …”
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Student attendance and evaluation system : A review by Sura Falih, Yaseen Ismael

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Evaluation of Scalability and Resilience of Hyperledger Fabric in Blockchain Implementation for Diploma Management by Cahyani Pebriyanti, Galura Muhammad Suranegara

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Autoencoder neural network-based abnormal data detection in edge computing enabled large-scale IoT systems by Tianqi YU, Yongxu ZHU, Xianbin WANG

“…Given the advantages of low cost and easy deployment,large-scale Internet of things (IoT) has been deployed for environment monitoring pervasively.Within such systems,cloud platform is typically utilized as a remote data and control center.However,tremendous amount of data uploading and processing induce huge challenges on bandwidth load and real-time data gathering.In order to overcome these challenges,edge computing enabled IoT system architecture was proposed for environmental monitoring.As the intermediate layer,local processing could be supported for end devices with low latency and assist with preliminary analysis to offload computational tasks from cloud and the amount of data uploading could be reduced.Based on this system architecture,an autoencoder neural network-based abnormal data detection scheme was developed newly.Performance evaluation has been conducted based on the practical oceanic atmospheric data.Simulation results indicate that the proposed scheme can accurately detect the abnormal data by fully exploiting the spatial data correlation.…”
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LINE: Loop Integrals Numerical Evaluation by Renato Maria Prisco, Jonathan Ronca, Francesco Tramontano

“…We have collected these procedures in an open source computer program called LINE. Boundary conditions can be provided by the user or computed internally using the method of expansion by regions. …”
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EVALUATION OF TARGET MARKET SEGMENTS FOR ENTERPRISES

“…The analyzed variables included: the length of time a person uses his/her computer device; the reasons for possible changes and important settings when choosing a computer device; the timeframe for buying a computer device. …”
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Evaluation of transmission coefficients in nuclear processes by Oprea Cristiana, Oprea Alexandru Ioan

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Quality evaluation of learning math tests by Irina G. Ustinova, Elena G. Lazareva

“…In present days modern computer tools and information technologies implementation in educational process are widespread. …”
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Crowdsourcing Evaluation of Video Summarization Algorithm by Avrajyoti Dutta, Dawid Juszka, Mikołaj Leszczuk

“…This technique helps in dividing a task into multiple parts, and each of these parts is then evaluated using a large group of individuals to solve problems that are otherwise difficult to solve using traditional computational machines. …”
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Performance Evaluation of Localization Algorithms for WSNs by C. Vargas-Rosales, J. Mass-Sanchez, E. Ruiz-Ibarra, D. Torres-Roman, A. Espinoza-Ruiz

“…In all the cases the accuracy, precision, and computational complexity are evaluated as performance metrics. …”
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Cranial-thoracic trauma radiologic evaluation by G. N. Dorovskyh

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