Predictive channel scheduling algorithm between macro base station and micro base station group by Yinghai XIE, Ruohe YAO, Bin WU

“…A novel predictive channel scheduling algorithm was proposed for non-real-time traffic transmission between macro-base stations and micro-base stations in 5G ultra-cellular networks.First,based on the stochastic stationary process characteristics of wireless channels between stationary communication agents,a discrete channel state probability space was established for the scheduling process from the perspective of classical probability theory,and the event domain was segmented.Then,the efficient scheduling of multi-user,multi-non-real-time services was realized by probability numerical calculation of each event domain.The theoretical analysis and simulation results show that the algorithm has low computational complexity.Compared with other classical scheduling algorithms,the new algorithm can optimize traffic transmission in a longer time dimension,approximate the maximum signal-to-noise ratio algorithm in throughput performance,and increase system throughput by about 14% under heavy load.At the same time,the new algorithm is accurate.Quantitative computation achieves a self-adaption match between the expected traffic rate and the actual scheduling rate.…”
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Battery Energy Storage Systems in Microgrids: A Review of SoC Balancing and Perspectives by Thales Augusto Fagundes, Guilherme Henrique Favaro Fuzato, Lucas Jonys Ribeiro Silva, Augusto Matheus dos Santos Alonso, Juan C. Vasquez, Josep M. Guerrero, Ricardo Quadros Machado

“…In this context, an energy management system (EMS) is necessary to incorporate BESS in MGs. Consequently, state-of-charge (SoC) equalization is a common approach to address EMS requirements and balance the internal load among BESS units in MG operation. …”
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An Observer-Based Event Triggered Mechanism for the Detection and Mitigation of FDI Attacks in Deep Brain Stimulation Systems by Ping Yu, Ding Yang, Khalid A. Alattas, Ardashir Mohammadzadeh, Afef Fekih

“…To this end, a fractional order extended state observer (FOESO) is adopted to predict the tremor measurement signals of the accelerometer sensor. …”
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SOCIAL NETS AS A NEW FACTOR OF SYSTEM SECURITY IN RUSSIA IN THE 21ST CENTURY by S. A. Kravchenko, A. I. Podberezkin

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Efficiency of the data generated by the robotic milking system for comprehensive diagnosis of mastitis in cows by M. N. Isakova, M. V. Ryaposova

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RISK-MANAGEMENT IN UNIVERSITY EDUCATIONAL QUALITY MANAGEMENT by Evgeniya A. Opfer

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Recent updates of centromere proteins in hepatocellular carcinoma: a review by Zhongyuan Yang, Wenjiao Chen, Yunhui Liu, Yuxin Niu

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Risk of residual/recurrent cervical diseases in HPV-positive women post-conization depends on HPV integration status by Wenyu Lin, Yuxuan Huang, Yan Zhang, Lixiang Huang, Hongning Cai, Guanxiang Huang, Ye Li, Qiaoyu Zhang, Huifeng Xue, Binhua Dong, Pengming Sun

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Making virtual learning environment more intelligent: application of Markov decision process by Dalia Baziukaitė

“… Suppose there exist a Virtual Learning Environment in which agent plays a role of the teacher. With time it moves to different states and makes decisions on which action to choose for moving from current state to the next state. …”
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Efficacy of the herbal preparation STW 5 in multi-target therapy of functional dyspepsia by A. A. Sheptulin, V. O. Kaybysheva

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Preparation of Porous Materials by Magnesium Phosphate Cement with High Permeability by Lai Zhenyu, Hu Yang, Fu Xiaojie, Lu Zhongyuan, Lv Shuzhen

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Isolation of Corynebacterium pseudotuberculosis Biovar equi from a Horse in Central Iowa by Kate L. Hepworth-Warren, Beatrice T. Sponseller, David M. Wong, Joann M. Kinyon

“…The agent is typically identified in the Western United States but has recently been identified in Canada; it has not previously been documented as cause of infection in horses in Iowa. …”
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Screening and Early Diagnosis of Hepatocellular Cancer and Optimization of Diagnostic Imaging Techniques: A Review and Conclusion of the Expert Panel by V. V. Breder, R. B. Alikhanov, S. S. Bagnenko, E. N. Bessonova, V. A. Isakov, N. E. Kudashkin, B. M. Medvedeva, A. V. Mishchenko, M. S. Novruzbekov, V. S.  Rudakov

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Bevacizumab Demonstrates Prolonged Disease Stabilization in Patients with Heavily Pretreated Metastatic Renal Cell Carcinoma: A Case Series and Review of the Literature by Nicole M. Agostino, Rebecca Gingrich, Joseph J. Drabick

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Screening of Lactic Acid Bacteria Isolated from Fermented Cowpea and Optimization of Biomass Production Conditions by Hong Xu, Danyang Li, Xue Jiang, Qi Pei, Zhengqin Li, Philippe Madjirebaye, Mingyong Xie, Tao Xiong, Zhanggen Liu

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IMMUNOPROPHYLAXIS OF CANINE PARVOVIRAL ENTERITIS by A. V. Shatalov, S. P. Dannikov, A. N. Kononov, V. S. Skripkin

“…Data on the specifcity of the development of post-vaccination immunity against parvovirus enteritis agent in dogs are summarized and analyzed in the review. …”
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Fractography and Tensile Properties of AA6061 Aluminium Alloy/Rice Husk Ash Silicon Nanocomposite by N. E. Udoye, O. S. I. Fayomi, A. O. Inegbenebor

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Numerical Simulations of Chemical-Assisted Steam Flooding in Offshore Heavy Oil Reservoirs after Water Flooding by Wei Zheng, Tingen Fan, Xianhong Tan, Weidong Jiang, Taichao Wang, Haojun Xie

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Combined Technology for the Parts Recovery Operating in Stress Factor Conditions by Olena V. Berezshnaya, Valeriy D. Kassov, Eduard P. Gribkov

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Anomaly detection and location of malicious node for IoT based on smart contract in blockchain network by Haojie HUANG, Xiaoxiao WU, Gangqiang LI

“…With the explosive growth of the number of distributed devices in the Internet of things (IoT) network,the security of decentralized multi-agent optimization algorithm has become the forefront problem.The distributed algorithms in the IoT network are vulnerable to data injection attacks from internal malicious node because each agent locally estimates its state without any supervision.In general,the detection methods for malicious node run independently in each agent,inducing issues such as closed data,single points of failure,opaque detection processes,and so on.The proposed strategy considered detecting via an aid of blockchain technology and smart contracts in Ethereum to detect malicious node in the network.Based on the decentralized and multiple backup features of blockchain technology,the multi-site backup features of the blockchain technology enabled data sharing and avoided single point failure.In addition,the contract code,execution process and result of the smart contract were open and transparent,and the contract code and result could not be tampered to ensure that the detection process could be traced and verified.Finally,the average consensus algorithm was adopted as an example,and the proposed strategy was verified on a simplified IoT network implemented by Raspberry Pi.…”
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