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A MECHANISM FOR USING THE FLUSHING PROCESS MIGRATION MECHANISM IN DISTRIBUTED EXASCALE SYSTEMS 一种在分布式百亿亿级系统中使用刷新进程迁移机制的机制
Azerbaijan Journal of High Performance Computing Pub Date : 2022-07-01 DOI: 10.32010/26166127.2022.5.1.3.32
Faeze Gholamrezaie, Azar Feyziyev
{"title":"A MECHANISM FOR USING THE FLUSHING PROCESS MIGRATION MECHANISM IN DISTRIBUTED EXASCALE SYSTEMS","authors":"Faeze Gholamrezaie, Azar Feyziyev","doi":"10.32010/26166127.2022.5.1.3.32","DOIUrl":"https://doi.org/10.32010/26166127.2022.5.1.3.32","url":null,"abstract":"The effect of dynamic and interactive events on the function of the elements that make up the computing system manager causes the time required to run the user program to increase or the operation of these elements to change. These changes either increase the execution time of the scientific program or make the system incapable of executing the program. Computational processes on the migration process and vector algebras try to analyze and enable the Flushing process migration mechanism in support of distributed Exascale systems despite dynamic and interactive events. This paper investigates the Flushing process migration management mechanism in distributed Exascale systems, the effects of dynamic and interactive occurrences in the computational system, and the impact of dynamic and interactive events on the system.","PeriodicalId":275688,"journal":{"name":"Azerbaijan Journal of High Performance Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114380213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A MODEL FOR MULTI-LAYER DYNAMIC SOCIAL NETWORKS TO DISCOVER INFLUENTIAL GROUPS BASED ON A COMBINATION OF META-HEURISTIC ALGORITHM AND C-MEANS CLUSTERING 基于元启发式算法和c均值聚类的多层动态社交网络影响力群体发现模型
Azerbaijan Journal of High Performance Computing Pub Date : 2022-07-01 DOI: 10.32010/26166127.2022.5.1.72.86
Lida Naderlou, Zahra Tayyebi Qasabeh
{"title":"A MODEL FOR MULTI-LAYER DYNAMIC SOCIAL NETWORKS TO DISCOVER INFLUENTIAL GROUPS BASED ON A COMBINATION OF META-HEURISTIC ALGORITHM AND C-MEANS CLUSTERING","authors":"Lida Naderlou, Zahra Tayyebi Qasabeh","doi":"10.32010/26166127.2022.5.1.72.86","DOIUrl":"https://doi.org/10.32010/26166127.2022.5.1.72.86","url":null,"abstract":"Science and technology are proliferating, and complex networks have become a necessity in our daily life, so separating people from complex networks built on the fundamental needs of human life is almost impossible. This research presented a multi-layer dynamic social networks model to discover influential groups based on a developing frog-leaping algorithm and C-means clustering. We collected the data in the first step. Then, we conducted data cleansing and normalization to identify influential individuals and groups using the optimal data by forming a decision matrix. Hence, we used the matrix to identify and cluster (based on phase clustering) and determined each group’s importance. The frog-leaping algorithm was used to improve the identification of influence parameters, which led to improvement in node’s importance, to discover influential individuals and groups in social networks, In the measurement and simulation of clustering section, the proposed method was contrasted against the K-means method, and its equilibrium value in cluster selection resulted from 5. The proposed method presented a more genuine improvement compared to the other methods. However, measuring precision indicators for the proposed method had a 3.3 improvement compared to similar methods and a 3.8 improvement compared to the M-ALCD primary method.","PeriodicalId":275688,"journal":{"name":"Azerbaijan Journal of High Performance Computing","volume":"140 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123441926","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A COMPARATIVE ASSESSMENT OF MACHINE LEARNING MODELS FOR PREDICTING WIND SPEED 预测风速的机器学习模型的比较评估
Azerbaijan Journal of High Performance Computing Pub Date : 2022-07-01 DOI: 10.32010/26166127.2022.5.1.57.71
Faeze Gholamrezaie, A. Hosseini, N. Ismayilova
{"title":"A COMPARATIVE ASSESSMENT OF MACHINE LEARNING MODELS FOR PREDICTING WIND SPEED","authors":"Faeze Gholamrezaie, A. Hosseini, N. Ismayilova","doi":"10.32010/26166127.2022.5.1.57.71","DOIUrl":"https://doi.org/10.32010/26166127.2022.5.1.57.71","url":null,"abstract":"Renewable energy is one of the most critical issues of continuously increasing electricity consumption which is becoming a desirable alternative to traditional methods of electricity generation such as coal or fossil fuels. This study aimed to develop, evaluate, and compare the performance of Linear multiple regression (MLR), support vector regression (SVR), Bagging and random forest (R.F.), and decision tree (CART) models in predicting wind speed in Southeastern Iran. The data used in this research is related to the statistics of 10 minutes of wind speed in 10-meter, 30-meter, and 40-meter wind turbines, the standard deviation of wind speed, air temperature, humidity, and amount of the Sun's radiation. The bagging and random forest model with an RMSE error of 0.0086 perform better than others in this dataset, while the MLR model with an RMSE error of 0.0407 has the worst.","PeriodicalId":275688,"journal":{"name":"Azerbaijan Journal of High Performance Computing","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116474925","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
FUZZY SLIDING MODE CONTROLLER FOR SEIR MODEL OF EPIDEMIC DISEASE 流行性疾病seir模型的模糊滑模控制
Azerbaijan Journal of High Performance Computing Pub Date : 2022-07-01 DOI: 10.32010/26166127.2022.5.1.143.164
Mohammad Azimnezhad, M. Manthouri, M. Teshnehlab
{"title":"FUZZY SLIDING MODE CONTROLLER FOR SEIR MODEL OF EPIDEMIC DISEASE","authors":"Mohammad Azimnezhad, M. Manthouri, M. Teshnehlab","doi":"10.32010/26166127.2022.5.1.143.164","DOIUrl":"https://doi.org/10.32010/26166127.2022.5.1.143.164","url":null,"abstract":"This paper proposes a vaccination approach based on robust control for the SEIR (susceptible plus exposed plus infectious plus recovered populations) model of epidemic diseases. First, a classic sliding mode controller is investigated based on the SEIR model. Next, fuzzy logic is utilized to better approximate the uncertainties in the SEIR system using the sliding mode controller. Therefore, the proposed controller is a fuzzy sliding mode controller, which, compared to the sliding mode controller, provides an appropriate estimation of systems' actual parameters and removes the chattering phenomenon from the control signal. The stability of the controlled system is guaranteed using the Lyapunov theory simulations in which the classical sliding mode and the proposed controllers are compared, Using data from previous articles. Simulation results show that the proposed controller eliminates the susceptible subpopulation, incubated disease, and infectious diseases, eradicating the disease. Comparison with other methods reveals the better efficiency of the proposed method.","PeriodicalId":275688,"journal":{"name":"Azerbaijan Journal of High Performance Computing","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116138209","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
APPLICATION OF DEEP BOLTZMANN MACHINE IN DIAGNOSIS PROCESSES OF HEPATITIS TYPES B & C 深玻尔兹曼机在乙型和丙型肝炎诊断中的应用
Azerbaijan Journal of High Performance Computing Pub Date : 2022-07-01 DOI: 10.32010/26166127.2022.5.1.112.130
Hadis Oftadeh, M. Manthouri
{"title":"APPLICATION OF DEEP BOLTZMANN MACHINE IN DIAGNOSIS PROCESSES OF HEPATITIS TYPES B & C","authors":"Hadis Oftadeh, M. Manthouri","doi":"10.32010/26166127.2022.5.1.112.130","DOIUrl":"https://doi.org/10.32010/26166127.2022.5.1.112.130","url":null,"abstract":"Correct diagnosis of diseases is the main problem in medicine. Artificial intelligence and learning methods have been developed to solve problems in many fields, such as biology and medical sciences. Correct diagnosis before treatment is the most challenging and the first step in achieving proper cures. The primary objective of this paper is to introduce an intelligent system that develops beyond the deep neural network. It can diagnose and distinguish between Hepatitis types B and C by using a set of general tests for liver health. The deep network used in this research is the Deep Boltzmann Machine (DBM). Learning components within Restricted Boltzmann Machine (RBM) lead to intended results. The RBMs extract features to be used in an efficient classification process. An RBM is robust computing and well-suited to extract high-level features and diagnose hepatitis B and C. The method was tested on general items in laboratory tests that check the liver’s health. The DBM could predict hepatitis type B and C with an accuracy between 90.1% and 92.04%. Predictive accuracy was obtained with10-fold cross-validation. Compared with other methods, simulation results on DBM architecture reveal the proposed method’s efficiency in diagnosing Hepatitis B and C. What made this approach successful was a deep learning network in addition to discovering communication and extracting knowledge from the data.","PeriodicalId":275688,"journal":{"name":"Azerbaijan Journal of High Performance Computing","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129390649","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
TASK SCHEDULING ALGORITHMS IN CLOUD COMPUTING 云计算中的任务调度算法
Azerbaijan Journal of High Performance Computing Pub Date : 2022-07-01 DOI: 10.32010/26166127.2022.5.1.131.142
Aliaa Kadhim Gabbar Alwaeli, Karrar Ezzulddin Kareem Al-Hamami
{"title":"TASK SCHEDULING ALGORITHMS IN CLOUD COMPUTING","authors":"Aliaa Kadhim Gabbar Alwaeli, Karrar Ezzulddin Kareem Al-Hamami","doi":"10.32010/26166127.2022.5.1.131.142","DOIUrl":"https://doi.org/10.32010/26166127.2022.5.1.131.142","url":null,"abstract":"Utilizing virtualization technology, a cloud computing service provides on-demand access to computer resources & services through the internet. There are new ways to control the functioning of cloud resources since they are constructed in diverse places. More than one algorithm Possibly included in these plans. One of the most important components of a high-performing cloud computing system is the scheduling mechanism. Fault tolerance & load balancing methods are also included in the scheduling system, not only task scheduling strategies. Fault handling Possibly accomplished via using scheduling systems. We analyze & contrast a few different scheduling algorithms to see what they have going for them in terms of benefits & drawbacks.","PeriodicalId":275688,"journal":{"name":"Azerbaijan Journal of High Performance Computing","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122358343","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
RESEARCH ON THE VOLUME WEIGHT OF FOAMED COMPOSITES BASED ON BRICK WASTE USING NEURAL NETWORKS 基于神经网络的废砖泡沫复合材料体积重量研究
Azerbaijan Journal of High Performance Computing Pub Date : 2022-07-01 DOI: 10.32010/26166127.2022.5.1.87.93
A. Aliev, Yunis Gahramanli, S. Aliyev
{"title":"RESEARCH ON THE VOLUME WEIGHT OF FOAMED COMPOSITES BASED ON BRICK WASTE USING NEURAL NETWORKS","authors":"A. Aliev, Yunis Gahramanli, S. Aliyev","doi":"10.32010/26166127.2022.5.1.87.93","DOIUrl":"https://doi.org/10.32010/26166127.2022.5.1.87.93","url":null,"abstract":"This paper described the opportunity to use artificial neural networks to predict the chemical reaction result under given conditions. Applied three layers neural network for prediction of the mass content of alkaline trained using the results of the chemical reactions. As inputs were used values of the chemical quantities before the reaction and output values of the chemical quantities after the reaction. HPC technologies and multi-worker technology were used for accurate results.","PeriodicalId":275688,"journal":{"name":"Azerbaijan Journal of High Performance Computing","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124971029","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
CLOUD SECURITY: A REVIEW OF CURRENT ISSUES AND PROPOSED SOLUTIONS 云安全:对当前问题和建议解决方案的回顾
Azerbaijan Journal of High Performance Computing Pub Date : 2022-07-01 DOI: 10.32010/26166127.2022.5.1.52.56
E. Ismayilov
{"title":"CLOUD SECURITY: A REVIEW OF CURRENT ISSUES AND PROPOSED SOLUTIONS","authors":"E. Ismayilov","doi":"10.32010/26166127.2022.5.1.52.56","DOIUrl":"https://doi.org/10.32010/26166127.2022.5.1.52.56","url":null,"abstract":"Cloud technologies are currently one of the fastest growing directions in the IT field. This architecture uses virtualization technology in several computing paradigms (distributed systems, grid and service computing, etc.). It is possible to reach the goal using the unlimited possibilities of the Internet. It should be noted that most companies have transferred their resources and capabilities to cloud technology. According to Check Point Software Technologies Ltd 2020 statistics, 39% of enterprises said that security is important in cloud technology, and 52% said that public and hybrid cloud technologies have become more critical in the direction of security over the past two years. Enterprises are concerned about personal data storage and using special software enabled by cloud technologies. They are considering these points. This paper also discusses the various benefits of the cloud with its challenges and applications","PeriodicalId":275688,"journal":{"name":"Azerbaijan Journal of High Performance Computing","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131172718","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
AUTOMATED ACCIDENTS ON ROAD ANALYSIS: AN OVERVIEW OF STATE OF THE INSIGHTS 道路上的自动事故分析:概览状态的见解
Azerbaijan Journal of High Performance Computing Pub Date : 2021-12-31 DOI: 10.32010/26166127.2021.4.2.242.262
Mohsin Naseer, Javeria Naz
{"title":"AUTOMATED ACCIDENTS ON ROAD ANALYSIS: AN OVERVIEW OF STATE OF THE INSIGHTS","authors":"Mohsin Naseer, Javeria Naz","doi":"10.32010/26166127.2021.4.2.242.262","DOIUrl":"https://doi.org/10.32010/26166127.2021.4.2.242.262","url":null,"abstract":"Nowadays, people’s lives are becoming more and more luxurious with the use of technologies. Everyone wants ease and comfort. The trend of having personal vehicles for daily-based usage is increasing rapidly. As more and more people are buying vehicles, the traffic burden is increasing on the roads, causing accidents. When an accident happens, people get injured, and if the emergency services like medical aid are not given on time, then it may cause death. In the upcoming era, the idea of smart cities would be utilized, where every facility and service would be centralized and connected to a server; therefore, devices will be used to send a signal to the nearest emergency response center when an accident is detected on CCTV footage. This work reviews accident and accidental vehicle analysis through automated approaches. The areas of applications are highlighted along with the recent trends and practices discussed in this article.","PeriodicalId":275688,"journal":{"name":"Azerbaijan Journal of High Performance Computing","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126044416","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A NOMA-UFMC PRECODED SYSTEM FOR 6G 6g的noma-ufmc预编码系统
Azerbaijan Journal of High Performance Computing Pub Date : 2021-12-31 DOI: 10.32010/26166127.2021.4.2.188.197
Umer Farooq, Prajoona Valsalan, N. ul Hasan, Manaf Zghaibeh
{"title":"A NOMA-UFMC PRECODED SYSTEM FOR 6G","authors":"Umer Farooq, Prajoona Valsalan, N. ul Hasan, Manaf Zghaibeh","doi":"10.32010/26166127.2021.4.2.188.197","DOIUrl":"https://doi.org/10.32010/26166127.2021.4.2.188.197","url":null,"abstract":"Multi-Carrier Waveform (MCW) modeling and design are envisioned as one of the most important and challenging for the 6th generation (6G) communication networks. In oppose to Orthogonal Frequency Division Multiplexing (OFDM) waveforms, new and innovative design techniques for MCWs have been designed and proposed in recent literature because of their performance superiority. The typical OFDM waveforms have dominated the previous generation of communication systems and proven their potential in many real-time communication environments, but it may not be sufficient to meet the ambitious target of 6G communication systems. Hence, need for new solutions like flexible MCWs and relevant technological advancements in waveform design are needed. This paper proposes designing and evaluating a new MCW design to meet the 6G requirements for spectral efficiency, throughput, and overall system capacity. On the transmitter side, the MCW design proposed in this article employs power domain multiplexing, such as Non-Orthogonal Multiple Access (NOMA), and phase-rotations of the input signal to the Universal Filtered Multi-Carriers (UFMC) modulations, where the Base-Station (BS) assigns different power levels to each user while using the same frequency resources. MATLAB® simulations were performed to assess the proposed MCW performance. Detailed simulation data are employed for comparative performance analysis of the proposed MCW. The results have shown the superior performance of the proposed MCW approach compared to the conventional 5th generation (5G) NOMA-UFMC waveform.","PeriodicalId":275688,"journal":{"name":"Azerbaijan Journal of High Performance Computing","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131361295","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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