Scheduling framework based on reinforcement learning in online-offline colocated cloud environment by Ling MA, Qiliang FAN, Ting XU, Guanchen GUO, Shenglin ZHANG, Yongqian SUN, Yuzhi ZHANG

“…Some reinforcement learning-based scheduling algorithms for cloud computing platforms barely considered one scenario or ignored the resource constraints of jobs and treated all machines as the same type, which caused low resource utilization or insufficient scheduling efficiency.To address the scheduling problems in online-offline colocated cloud environment, a framework named JobFusion was proposed.Firstly, an efficient resource partitioning scheme was built in the cloud computing platform supporting virtualization technology by integrating the hierarchical clustering method with connectivity constraints.Secondly, a graph convolutional neural network was utilized to embed the attributes of elastic dimension with various constraints and the jobs with various numbers, to capture the critical path information of workflow.Finally, existing high-performance reinforcement learning methods were integrated for scheduling jobs.According to the results of evaluation experiments, JobFusion improves the resource utilization by 39.86% and reduces the average job completion time by up to 64.36% compared with baselines.…”
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Design of blockchain based zero-knowledge proof of location system by Wei WU, Erwu LIU, Changxin YANG, Rui WANG

“…With the development of precise positioning technology,a growing number of location-based services (LBS) emerge.For example,visit a specific place to get the corresponding reward.This also leads to location fraud by illegal users in order to gain benefits.Thus,it is necessary to verify location certificates provided by users.However,present proof of location systems are deficient in verifying users’ location certificates while protecting users’ privacy.Users do not flexibly control their location certificates either.Based on blockchain,a kind of distributed proof of location system architecture was proposed and based on the proposed system architecture,a kind of proof of location protocol with zero-knowledge proof was proposed further.With the proposed architecture and the protocol,the proposed proof of location system allows users to freely select disclosed certificate parameters and positional accuracy according to their needs so that hierarchical location privacy protection was achieved.…”
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Application of Sludge-Based Adsorbent for Acid Red 18 Adsorption by PIECZYKOLAN Barbara

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Nonlinear programming-based ranging optimization for three-dimensional indoor time of arrival localization by Jian Sun, Yongling Fu, Jie He, Shengguang Li, Jian Fu

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KELVIN PROBE’S STRAY CAPACITANCE AND NOISE SIMULATION by S. Danyluk, A. V. Dubanevich, O. K. Gusev, A. I. Svistun, A. K. Tyavlovsky, K. L. Tyavlovsky, R. I. Vorobey, A. L. Zharin

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Construction method of double unicast network coding by Baoxing PU, Zhiyi MO

“…In order to use network coding technology for data transmission in double unicast network,a construction method of double unicast network coding was proposed.The pre-coding strategy was implemented at each source node,the random linear network coding combined to the multi-objective optimization evolutionary algorithm was adopted to design the local coding vector of each channel.At the each sink node,the base vector of zero space of matrix was used to eliminate some information interference,and then the two-level pre-coding strategy was used to control the transmission rate at source.Thus,each sink node could be decoded successfully.With the proposed method,the approximate reachable information rate region of double unicast network coding could be determined and the transmission scheme for each vector in the reachable information rate region could be designed.Theoretical derivation and simulation calculation show the effectiveness of the proposed method.…”
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An Improved Unscented Kalman Filter for Discrete Nonlinear Systems with Random Parameters by Yue Wang, Zhijian Qiu, Xiaomei Qu

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Determination of the Instantaneous Noise Level Using a Discrete Road Traffic Flow Method by Algimantas DANILEVIČIUS, Irena DANILEVIČIENĖ, Mykola KARPENKO, Michał STOSIAK, Paulius SKAČKAUSKAS

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Temperature Prediction of Photovoltaic Panels Based on Support Vector Machine with Pigeon-Inspired Optimization by Siyuan Fan, Shengxian Cao, Yanhui Zhang

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Emergency online learning during the first Covid-19 period: students’ perspectives from Bosnia and Herzegovina, North Macedonia, Poland and Turkey by Miloshevska Lina, Gajek Elżbieta, Džanić Nihada Delibegović, Hatipoğlu Çiler

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Bionics in Engineering Education Considerations, Experiences and Conclusions by Ralf Neurohr, Cristian Dragomirescu

“…In order to avoid any confusion, considering overlapping or mixing up with other bio-disciplines related to technology, the paper starts with a short introduction, explaining the principles of bionics and providing a clear definition of the field.…”
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Neural Network Compensation Control for Output Power Optimization of Wind Energy Conversion System Based on Data-Driven Control by T. Li, A. J. Feng, L. Zhao

“…To solve this problem, data-driven control technology is selected and data-driven controller for the WECS is designed based on the Markov model. …”
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EDUCATIONAL PLANNING AND PEDAGOGICAL DIGITALISATION IN NIGERIA'S EDUCATIONAL SYSTEM by EMMANUEL SEMAKO GBESOEVI, RASAKI OLANREWAJU LAWAL, MONSURAT LOLADE OYELAMI, PIUS JIDE GBENU

“…Additionally, the paper delves into the significance of pedagogical digitalization, examining the integration of technology in the Nigerian educational landscape and the associated opportunities and challenges. …”
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SELF-ASSEMBLY OF NANOSCALE POLYMER DOMAINS IN MICROSTRUCTURE TEMPLATE MADE BY AFM MICROMACHINING TECHNIQUE by ZOU XinYu, HUANG YiJun, CONG YanRu, HE YongLing, PAN YuChen, MIAO ZhiBin

“…Furthermore,pairing bottom-up and top-down methods is a bright,and perhaps basic,bridge between the parallel self-assembly of molecules and the morphological constraint of prevailing technology.…”
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Research on multi-AP joint transmission scheme based on improved genetic algorithm by Man LIU, Xuming FANG

“…In order to solve the problem that overlapping basic service set (OBSS) users are subject to serious co-frequency interference in the dense Wi-Fi network, resulting in low signal to interference plus noise ratio (SINR) of received signals, low data transmission rate or inability to transmit, a multi-access point (AP) joint transmission (JT) scheme based on improved genetic algorithm (IGA) selection of AP coordination set was proposed.Firstly, the SINR threshold method was used to divide all station (STA) in the system into central users and edge users, and the JT scheme was adopted for edge users.Then, with the goal of maximizing the throughput of edge users, IGA was proposed to determine the appropriate coordinated AP for each edge user to form its own AP coordination set, and maximize the potential gain of JT technology.The simulation results show that the proposed scheme can effectively reduce the co-frequency interference between BSS and improve the performance and throughput of BSS edge users in dense network.…”
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Pedagogical means of formation of healthy lifestyle of students by Irina G. Kretova, Olga V. Belyaeva

“…For the formation of skills of a healthy lifestyle, attracting attention to health and health care technology, protection principles in emergencies and first aid the staff of the Department uses conventional and interactive methods of teaching: the training and role-playing, debates, round tables, brainstorming, viewing, followed by a discussion themed art and documentary films, the decision of situational tasks. …”
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Related-Key Cryptanalysis on the Full PRINTcipher Suitable for IC-Printing by Yuseop Lee, Kitae Jeong, Changhoon Lee, Jaechul Sung, Seokhie Hong

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Gender and socio-economic differencesin South African consumers’ sentimentstoward marketing practices by Thérèse Roux

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Determination Methods and Influencing Factors of Grain Mechanical Properties by Peng Gao, Shuangqi Tian, Xing’ao Xue, Jing Lu

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The Desire that Propels Entrepreneurial Intentions by Hernan E. Riquelme, Abdullah Al Lanqawi

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