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- Volume 17, Issue 3, 2024
Recent Advances in Electrical & Electronic Engineering - Volume 17, Issue 3, 2024
Volume 17, Issue 3, 2024
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Blockchain for Big Data: Approaches, Opportunities and Future Directions
Authors: Amrita Jyoti, Vikash Yadav, Ayushi Prakash, Sonu Kumar Jha and Mayur RahulThe last several years have seen a significant increase in interest in big data across a range of scientific and engineering fields. Despite having several benefits and applications, big data still has some difficulties that must be overcome for a higher level of service, such as big data analytics, big data management, and big data privacy and security. Big data services and apps stand to greatly benefit from blockchain decentrali Read More
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A Critical Review of Gain Enhancement Methods for Microstrip Antenna
Authors: Kamelia Quzwain, Haifa Nabila, Radial Anwar and Alyani IsmailIn the recent years, the development in communication system has grown rapidly, especially for the growth of broadband wireless technologies. This technology has some advantages, for instance, flexibility for the transmission of data with very high data rate communications. Antenna is one of the crucial components of broadband wireless systems because it has ability to emit and receive radio waves. There are various type Read More
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Optimization of RST Controller for Speed Control of Linear Induction Motor Using Genetic Algorithm
Authors: Khettache Laid, Djarah Djalal, Zidani Ghania and Abdessemed RachidBackground: In this study, a new model of linear induction motor, along with the impact of end-effect on motor performance, is proposed. Moreover, a new strategy of control approach based on the polynomial RST controller is suggested and investigated. Objective: The proposed approach can provide a robust control strategy and overcome the limitations imposed by the proportional-integral (PI) regulator in the F Read More
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Fault Diagnosis of Wind Turbine Bolts based on ICEEMD-SSA-SVM Model
Authors: Qianhua Ge, Dexing Wang, Kai Sun and Dongli WangBackground: Compared with traditional power generation systems, wind turbines have more units and work in a more harsh environment, and thus have a relatively high failure rate. Among blade faults, the faults of high-strength bolts are often difficult to detect and need to be analyzed with high-precision sensors and other equipment. However, there is still little research on blade faults. Methods: The improved complete ens Read More
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A Transfer Learning-based Method for the Daily Electricity Consumption Forecasting of Large Industrial Users after Business Expansion
Authors: Siteng Wang, Wenjie Li, Yan Shi, Yi Zhang and Zimeng XiuBackground: With the rapid development of industry, the expansion capacity and frequency of large industrial users continue to increase. However, the traditional static prediction model is difficult to accurately predict the daily electricity consumption of industrial expansion, which is not conducive to the safe and stable operation of the power grid. Objective: In response to the above problems, this paper proposes a trans Read More
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Optimal Operation Scheduling of Multi-energy Complementary Systems Including Offshore Wind Power
Authors: Qiuyu Lu, Yinguo Yang, Yang Zhao, Yue Chen and Pingping XieBackground: With the rapid development of offshore wind power in China, offshore wind power is accounting for an increasing proportion of the whole installed power generation in China, which put forward higher requirements for operation scheduling of multienergy complementary systems including offshore wind power. However, existing studies have paid little attention to the complementary output scheduling of multi-ener Read More
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Research on WSN Intelligent Routing Algorithm based on Bayesian Learning and Particle Swarm Optimization
Authors: Songhao Jia, Cai Yang, Jizheng Yang, Haiyu Zhang and Xing ChenBackground: Wireless sensor networks have the characteristics of strong scalability, easy maintenance, and self-organization, but the energy of nodes is limited and it is difficult to replace the energy supply module. The survival time of the network has always been the key to restricting the development of wireless sensor networks. Objective: Aiming at the problems of short network lifetime and low coverage, a multi-objecti Read More
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Artificial Intelligence System-based Chatbot as a Hotel Agent
Authors: Javeria Ali, Ume Aymen Amjad, Wajeeha I. Ansari and Fareeha HafeezBackground: The idea of being able to communicate with an electronic device in a similar way as human beings is now the new big thing in the world of Artificial Intelligence. The fusion of AI and Cloud computing has given rise to a new technology that can understand and learn conversations in the natural language used by humans. In this Era, where automation is taking over the world, the invention of smart ch Read More
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