2019 International Conference of Computer Science and Renewable Energies (ICCSRE)最新文献

The impact of the thermos-physical parameters of insulation on the energy performance of a building in Morocco 保温材料的热物理参数对摩洛哥一座建筑能源性能的影响

2019 International Conference of Computer Science and Renewable Energies (ICCSRE) Pub Date : 2019-07-23 DOI: 10.1109/ICCSRE.2019.8807480

Badr Chegari, M. Tabaa, F. Moutaouakkil, E. Simeu, H. Medroumi

引用次数: 5

How energy consumption in the cloud data center is calculated 云数据中心的能耗是如何计算的

2019 International Conference of Computer Science and Renewable Energies (ICCSRE) Pub Date : 2019-07-22 DOI: 10.1109/ICCSRE.2019.8807458

S. Diouani, H. Medromi

{"title":"How energy consumption in the cloud data center is calculated","authors":"S. Diouani, H. Medromi","doi":"10.1109/ICCSRE.2019.8807458","DOIUrl":"https://doi.org/10.1109/ICCSRE.2019.8807458","url":null,"abstract":"Energy efficiency has turned into an undeniably essential worry in data centers as a result of issues related to energy consumption, including capital costs, working costs, and natural effect. While energy wastage, because of imperfect utilization of facilities and IT hardware, has to a great extent been decreased using best-practice advances, tending to energy loss in IT equipment, still requires the plan and usage of energy-aware resource management frameworks. Various methods aimed to enhance the energy efficiency in data centers have been developed in the field related to the development of resource allocation. In fact, researchers and scientists utilize numerous ways to improve effectiveness for optimized power and performance: scaling virtual machine and server preparing abilities to minimize energy consumption, enhancing resource use through exploiting its heterogeneity and consolidating the workload. To accomplish these objectives, there is multiple proposes models, calculations, algorithms, techniques, and procedures that diminish energy use using virtual machine scaling, virtual machine sizing for CPU and memory, CPU frequency adjustment, and also equipment power control for resource allocation in the server-level. In this context, we present different formulas for calculating energy consumption in cloud data centers and we propose a simplified and completed deduced formula for energy consumption estimation.","PeriodicalId":360150,"journal":{"name":"2019 International Conference of Computer Science and Renewable Energies (ICCSRE)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115859589","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: 7

Optimization of Energy Consumption in Swarms of Robots 机器人群中能量消耗的优化

2019 International Conference of Computer Science and Renewable Energies (ICCSRE) Pub Date : 2019-07-22 DOI: 10.1109/ICCSRE.2019.8807472

Turzo Ahsan Sami, S. Momen

{"title":"Optimization of Energy Consumption in Swarms of Robots","authors":"Turzo Ahsan Sami, S. Momen","doi":"10.1109/ICCSRE.2019.8807472","DOIUrl":"https://doi.org/10.1109/ICCSRE.2019.8807472","url":null,"abstract":"This paper presents an agent based computational model in which swarms of autonomous mobile robots have the task to clean the environment. The robots collect debris from the environment and dump them in a designated arena. The energy of each robot decreases as it works and when the energy becomes lower than a fixed threshold, it switches to the charging mode. Under this mode, a robot goes to a destined area to charge itself up. Besides just gaining energy from the designated charging area, they can also share energy with each other when required. The way the robots share energy is inspired by the trophallactic behavior displayed by ant colonies. The model proposed in this paper is inspired by the behavior and group interaction of social insects, particularly by that of the ants. Genetic Algorithm (GA) has been applied on the model to search the model0s parameter space to obtain the particular set of parameter values for which the model consumes the least energy. Experimental results show that incorporating GA to tune the parameter values improve the performance of the swarm in terms of the energy consumption over earlier strategies.","PeriodicalId":360150,"journal":{"name":"2019 International Conference of Computer Science and Renewable Energies (ICCSRE)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129683811","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

Modeling and Optimization of a Grid Connected Photovoltaic Energy Conversion System Based on Advanced Nonlinear Control 基于先进非线性控制的并网光伏能量转换系统建模与优化

2019 International Conference of Computer Science and Renewable Energies (ICCSRE) Pub Date : 2019-07-22 DOI: 10.1109/ICCSRE.2019.8807535

M. Mohamed, Zazi Malika, Zazi Khalida, Chorfi Jawad

{"title":"Modeling and Optimization of a Grid Connected Photovoltaic Energy Conversion System Based on Advanced Nonlinear Control","authors":"M. Mohamed, Zazi Malika, Zazi Khalida, Chorfi Jawad","doi":"10.1109/ICCSRE.2019.8807535","DOIUrl":"https://doi.org/10.1109/ICCSRE.2019.8807535","url":null,"abstract":"The electrical characteristics of photovoltaic generators are nonlinear, they are depend on the climatic conditions and the load, and they admitted one only optimum operating point. Therefore, to maximize the energy produced by the PV system, it is necessary to track the maximum power point. Nevertheless to inject this maximum energy produced in the grid, it must be converted in an alternative by ensuring a reliable transfer with a unit power factor and a currents form purely sinusoidal. In this paper, a nonlinear method based on sliding mode (SMC) is applied to control and optimization of a grid connected photovoltaic energy conversion system. In this method, it is essential to define a sliding surface that presents the desired state, then we calculate the appropriate control law to achieve this desired state. To validate the theory results obtained by the proposed control strategy, the simulations has been affected on the Simulink/Matlab software for a 100Kw PV system. The simulation results are shown the effectiveness of the proposed technique to achieve the optimal operation of grid connected photovoltaic energy conversion system.","PeriodicalId":360150,"journal":{"name":"2019 International Conference of Computer Science and Renewable Energies (ICCSRE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133888967","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

Patient Radiation Risks during CT Brain procedure in Moroccan hospitals 摩洛哥医院CT脑部手术患者辐射风险

2019 International Conference of Computer Science and Renewable Energies (ICCSRE) Pub Date : 2019-07-22 DOI: 10.1109/ICCSRE.2019.8807579

M. Aabid, S. Semghouli, B. Amaoui, M. Fahssi, Oum Keltoum Hakam, A. Choukri

{"title":"Patient Radiation Risks during CT Brain procedure in Moroccan hospitals","authors":"M. Aabid, S. Semghouli, B. Amaoui, M. Fahssi, Oum Keltoum Hakam, A. Choukri","doi":"10.1109/ICCSRE.2019.8807579","DOIUrl":"https://doi.org/10.1109/ICCSRE.2019.8807579","url":null,"abstract":"Computed Tomography (CT) of Brain is a diagnostic device used to create detailed pictures of the skull, brain, paranasal sinuses, and eye sockets; however, patients are exposed to great radiation doses and the likelihood of a cancer occurrence and other biological effects is increased. The objectives of this study were to measure the patient radiation dose during a brain CT procedure and to assess the radiation dose and biological effects.The study was conducted in six radiology departments equipped with various CT machines calibrated according to international protocols. A total of 180 patients underwent brain examinations. The effective radiation dose, cancer and biological risks were estimated using the International Commission on Radiological Protection (ICRP) conversion factors.The effective dose for Brain CT procedure in Moroccan hospital varied between (0,80± 0,12) and (5,47± 1,51) mSv with an average value of (2,96± 0,67) mSv. The cancer risk per Brain procedure ranged between 44 and 301 with an average value of 163 per 1 million procedures. The hereditary risk per Brain procedure ranged between 2 and 11 with an average value of 6 per 1 million procedures. The effective dose and risk factors for brain CT scan examination are higher than the national averages for one third of our hospitals.The cancer and hereditary risks are significant during multiple image acquisition. The study revealed that 66% of the procedures with normal findings. However, staff should optimize the radiation dose during Brain procedures.","PeriodicalId":360150,"journal":{"name":"2019 International Conference of Computer Science and Renewable Energies (ICCSRE)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115518288","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: 2

Bazaar Mind: A Virtual Shopping Assistant Bazaar Mind:虚拟购物助理

2019 International Conference of Computer Science and Renewable Energies (ICCSRE) Pub Date : 2019-07-22 DOI: 10.1109/ICCSRE.2019.8807446

Taskin Fatema, Alif Elahi Khan, Mithi Shams, Md. Golam Saklain Hossain, S. Momen

引用次数: 1

Recent Advancements and Developments for Electric Vehicle Technology 电动汽车技术的最新进展与发展

2019 International Conference of Computer Science and Renewable Energies (ICCSRE) Pub Date : 2019-07-22 DOI: 10.1109/ICCSRE.2019.8807726

Haji Zakaria, Mounir Hamid, E. Abdellatif, Amarir Imane

引用次数: 21

Nonlinear ADRC Applied on Wind Turbine Based on DFIG Operating at its Partial Load 基于DFIG部分负荷运行的非线性自抗扰控制器在风电机组上的应用

2019 International Conference of Computer Science and Renewable Energies (ICCSRE) Pub Date : 2019-07-22 DOI: 10.1109/ICCSRE.2019.8807773

El Mahfoud Boulaoutaq, M. Kourchi, Azeddine Rachdy

引用次数: 5

Parameter Identification of Photovoltaic Generators Using an Analytical Approach and Iterative Method 基于解析法和迭代法的光伏发电机组参数辨识

2019 International Conference of Computer Science and Renewable Energies (ICCSRE) Pub Date : 2019-07-22 DOI: 10.1109/ICCSRE.2019.8807753

Abdelaaziz Benahmida, N. Maouhoub, H. Sahsah, Hamza Mokhliss, K. Rais

引用次数: 4

The behavior of a building using RES energy and A control strategy of DC microgrid 使用可再生能源的建筑物的行为及直流微电网的控制策略

2019 International Conference of Computer Science and Renewable Energies (ICCSRE) Pub Date : 2019-07-22 DOI: 10.1109/ICCSRE.2019.8807673

Mouna Abarkan, B. Abdelilah, N. M'Sirdi, El Hossain Abarkan

引用次数: 0