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2020 5th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications (CloudTech)最新文献

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Big Data Architectures Benchmark for Forecasting Electricity Consumption 预测用电量的大数据架构基准
2020 5th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications (CloudTech) Pub Date : 2020-11-24 DOI: 10.1109/CloudTech49835.2020.9365912
Houda Daki, A. Hannani, H. Ouahmane
{"title":"Big Data Architectures Benchmark for Forecasting Electricity Consumption","authors":"Houda Daki, A. Hannani, H. Ouahmane","doi":"10.1109/CloudTech49835.2020.9365912","DOIUrl":"https://doi.org/10.1109/CloudTech49835.2020.9365912","url":null,"abstract":"Now a day, educational institutions present one of the highest power consuming sector due to their new activities and occupancy pattern. This enormous amount of energy consumption at the university need a huge effort to reduce it. Smart grid is among the efficient solution to save energy and balance supply and demand. For the same purpose, the National School of Applied Sciences of El Jadida-Morocco wants take advantage from smart grid to maintain the balance between energy production and consumption. Despite of all added value of this smart grid solution for the school, it has the issue of managing energy production surplus, because it cannot inject it into Moroccan electrical infrastructure neither store it using storage devices. So, to overcome this challenge the system need to predict electrical consumption to be able to produce exactly the same value. Recently, Big Data contributed very well in analysing electrical consumption data using many tools and advanced techniques. It process, interprets and analyzes huge quantity of data to make it more profitable and valuable. For that reason, the school will take refuge in Big data technology to implement a custom system to predict electrical energy consumption by analyze all factors that influence electrical energy use. In this paper, we propose a benchmark of the main Big Data architectures in the field and that will cover all electrical energy data processing from data collection, data storage, data analytic and data visualization. The aim of this benchmark is to choose the optimal architecture in term of fault tolerance, resource management, data storage and data modelling to forecast electricity consumption in educational institutions.","PeriodicalId":272860,"journal":{"name":"2020 5th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications (CloudTech)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128313442","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
Survey of Deep Learning Neural Networks Implementation on FPGAs 基于fpga的深度学习神经网络实现综述
2020 5th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications (CloudTech) Pub Date : 2020-11-24 DOI: 10.1109/CloudTech49835.2020.9365911
El Hadrami Cheikh Tourad, M. Eleuldj
{"title":"Survey of Deep Learning Neural Networks Implementation on FPGAs","authors":"El Hadrami Cheikh Tourad, M. Eleuldj","doi":"10.1109/CloudTech49835.2020.9365911","DOIUrl":"https://doi.org/10.1109/CloudTech49835.2020.9365911","url":null,"abstract":"Deep learning has recently indicated that FPGAs (Field-Programmable Gate Arrays) play a significant role in accelerating DLNNs (Deep Learning Neural Networks). The initial specification of DLNN is usually done using a high-level language such as python, followed by a manual transformation to HDL (Hardware Description Language) for synthesis using a vendor tool. This transformation is tedious and needs HDL expertise, which limits the relevance of FPGAs. This paper presents an updated survey of the existing frameworks for mapping DLNNs onto FPGAs, comparing their characteristics, architectural choices, and achieved performance. Besides, we provide a comprehensive evaluation of different tools and their effectiveness for mapping DLNNs onto FPGAs. Finally, we present the future works.","PeriodicalId":272860,"journal":{"name":"2020 5th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications (CloudTech)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116266774","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: 4
Formal Modeling and Validation of Micro Smart Grids Based on ReDy Architecture 基于ReDy架构的微智能电网形式化建模与验证
2020 5th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications (CloudTech) Pub Date : 2020-11-24 DOI: 10.1109/CloudTech49835.2020.9365923
K. Hafdi, Abderahman Kriouile
{"title":"Formal Modeling and Validation of Micro Smart Grids Based on ReDy Architecture","authors":"K. Hafdi, Abderahman Kriouile","doi":"10.1109/CloudTech49835.2020.9365923","DOIUrl":"https://doi.org/10.1109/CloudTech49835.2020.9365923","url":null,"abstract":"Several cities in the world are moving from traditional power grid to Smart Grids. In order to set up Smart Grids, we should be able to face many challenges related to reliability, scalability, dynamism, technological solutions, security, etc. In this paper, we propose a case study where we model a micro Smart Grid according to the ReDy architecture, which is intended for IoT applications. The ReDy architecture provides a base to implement a scalable, reliable, and dynamic IoT network ready to meet Smart Grid needs. In order to prove those requirements, we opted for formal modeling and validation approach using model checking techniques. This formal analysis is carried out using the CADP toolbox.","PeriodicalId":272860,"journal":{"name":"2020 5th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications (CloudTech)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125082719","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
Improvements of Centroid Localization Algorithm for Wireless Sensor Networks 无线传感器网络质心定位算法的改进
2020 5th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications (CloudTech) Pub Date : 2020-11-24 DOI: 10.1109/CloudTech49835.2020.9365899
Abdelali Hadir, K. Zine-dine, M. Bakhouya
{"title":"Improvements of Centroid Localization Algorithm for Wireless Sensor Networks","authors":"Abdelali Hadir, K. Zine-dine, M. Bakhouya","doi":"10.1109/CloudTech49835.2020.9365899","DOIUrl":"https://doi.org/10.1109/CloudTech49835.2020.9365899","url":null,"abstract":"The accurate position of nodes in Wireless Sensor Networks (WSNs) is considered a critical problem in the majority of the Internet of Things (IoT) applications. Recently a large number of contribution in localization have been recommended to determine the location of nodes. However, a number determinated of these techniques have been presented to precisely determine the nodes locations in the IoT. In this work, we discuss the new three localization techniques, named Centroid + 4A, ICentroid, and ICentroid + 4A respectively, based on the Centroid localization technique and a new weighted formula to estimate the target nodes’ positions. The OMNeT++ network simulator was used to figure out and the performance of the discussed solutions in comparison with the Centroid localization technique. The examined results reveal that a significant improvement in the localization precision of the discussed contributions in Wireless Sensor Networks.","PeriodicalId":272860,"journal":{"name":"2020 5th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications (CloudTech)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126700963","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
Machine learning and datamining methods for hybrid IoT intrusion detection 混合物联网入侵检测的机器学习和数据挖掘方法
2020 5th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications (CloudTech) Pub Date : 2020-11-24 DOI: 10.1109/CloudTech49835.2020.9365895
A. E. Ghazi, Ait Moulay Rachid
{"title":"Machine learning and datamining methods for hybrid IoT intrusion detection","authors":"A. E. Ghazi, Ait Moulay Rachid","doi":"10.1109/CloudTech49835.2020.9365895","DOIUrl":"https://doi.org/10.1109/CloudTech49835.2020.9365895","url":null,"abstract":"By 2025 Internet of things will reach over 75 billion devices which would exceed number of humans about 8.1 billion. These devices need to be secured from many threats by implementing secure and interoperable solutions in order to guarantee a proper functioning of the infrastructures and systems using the IoT. This is why we proposed a hybrid intrusion detection system installed on the cloud powering another online and real time intrusion detection system on the fog to monitor the communication and detect attacks before it spreads over the network as in the case of Mirai botnet. We will provide details of the different algorithms used to implement this distributed system so as to detect attacks against IoT devices.","PeriodicalId":272860,"journal":{"name":"2020 5th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications (CloudTech)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128442559","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: 3
Open Phytotron: A New IoT Device for Home Gardening Open Phytotron:用于家庭园艺的新型物联网设备
2020 5th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications (CloudTech) Pub Date : 2020-11-24 DOI: 10.1109/CloudTech49835.2020.9365892
Rachida Ait Abdelouahid, Olivier Debauche, S. Mahmoudi, A. Marzak, P. Manneback, F. Lebeau
{"title":"Open Phytotron: A New IoT Device for Home Gardening","authors":"Rachida Ait Abdelouahid, Olivier Debauche, S. Mahmoudi, A. Marzak, P. Manneback, F. Lebeau","doi":"10.1109/CloudTech49835.2020.9365892","DOIUrl":"https://doi.org/10.1109/CloudTech49835.2020.9365892","url":null,"abstract":"Phytotrons are culture chambers used by re-searchers in which ambient parameters such as temperature, humidity, irrigation, electrical conductivity of the nutrient solution, pH, lighting and CO2 are finely controlled. In addition, these installations make it possible on the one hand to measure the impact of environmental changes, and on the other hand to optimize the growth of plants in artificial growing conditions. Thanks to the democratization of hardware, cloud computing and the new possibilities offered by the Internet of Things (IoT), it is now possible to build a personal phytotron at an affordable cost. In this article, we propose to use connected objects to develop a personal growth chamber in order to produce fresh vegetables in an urban context.","PeriodicalId":272860,"journal":{"name":"2020 5th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications (CloudTech)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121738238","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: 17
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