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共 553 条记录，以下是131-140 订阅

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Rule-Based control Strategy for Tempe Fermentation Incubator with Internet of things Monitoring 4

Rule-Based Control Strategy for Tempe Fermentation Incubator...

引用

4th international conference on Sustainable engineering and Creative computing, ICSEC 2022

作者： Istiadi Rahman, Aviv Yuniar Rofii, Faqih Widyagama University of Malang Dept. of Informatics Engineering Malang Indonesia Widyagama University of Malang Dept. of Electrical Engineering Malang Indonesia

ISBN: (纸本)9798350322002

the problem with traditional tempe production is the length of time the Tempe fermentation process takes. this happens because they still rely on the temperature and humidity of the environment, which is less than ideal. Efforts to overcome these problems with the development of electronic incubators. However, the incubator still uses a lamp that is not ideal for heating and pays less attention to the switching intensity of the actuators. this study aims to develop an incubator with temperature and humidity with a rule base control strategy. In addition, the temperature and humidity of the incubator can be monitored based on the Internet of things (IoT). the control system design uses Arduino with temperature and humidity sensors (DHT22), while the actuators use fans, heaters, and humidifiers. the wifi connection utilizes the ESP8266 module, and the monitoring application uses the Blynk platform. A rule base is made for decision-making by simultaneously considering temperature and humidity conditions, and hysteresis techniques are accommodated to adjust the switching. the test results show that temperature control is able to reach the range of 31-35 \text{oC} while humidity control is in the range of 60-70%. the test results show that the Tempe maturity time in the incubator only takes 19 hours for the Tempe to be processed into chips. this will benefit the craftsmen because of the faster time they have the opportunity to increase production capacity. © 2022 ieee.

关键词： Fermentation

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Improved Performance of PMSM using Tunicate Swarm optimization 4

Improved Performance of PMSM using Tunicate Swarm optimizati...

引用

4th ieee international conference on Emerging Smart computing and Informatics, ESCI 2022

作者： Vishal, G.R. Pradeep, Jayarama St Joseph's College of Engineering ME- Power Electronics and Drives Chennai India St Joseph's College of Engineering Electrical and Electronics Engineering Chennai India

ISBN: (纸本)9781665400732

Humans are moving towards a pollution-free environment, Electrical vehicles (EV) could help to achieve this since one of the major contributors to pollution is Conventional vehicles. Increasing the performance of EV's will promote the use of EVs in human civilization. For any electrical machine, performance depends on Time Domain parameters. By optimizing the time domain parameter, the performance increases drastically. With a simple optimized PID controller, the motor could achieve performance similar to other controllers like the Fuzzy logic system. In many papers, PID is tuned using Particle swarm optimization (PSO). Recently, a new biological metaheuristic technique is determined that is Tunicate swarm Algorithm (TSA). this method is better than many biological metaheuristic techniques. In this paper, the TSA is implemented to the PID controller for the Permanent Magnet Synchronous Motor (PMSM) operation thereby improving the Speed response and comparing with the existing PSO and conventional PID controller. © 2022 ieee.

关键词： three term control systems

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An Efficient computing Task Offloading Strategy Based on Energy Consumption and Load Balancing Degree 4

An Efficient Computing Task Offloading Strategy Based on Ene...

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4th international Academic Exchange conference on Science and Technology Innovation, IAECST 2022

作者： Hu, Nan Xiang, Min Huang, Chunmei Qin, Lingling Yang, Bin Wang, Ruiqiong Luo, Zhang Chongqing University of Posts and Telecommunications Key Laboratory of Industrial Internet of Things Networked Control No. 2 Chongwen Road Chongqing China Powerchina Chongqing Engineering Corporation Limited 101 Jinzi Village Chongqing Nanping China

ISBN: (纸本)9798350320008

computing tasks offload of the edge computing has a significant impact on edge devices energy consumption and load balancing. To reduce the total cost, an offloading strategy that combines energy consumption and load balancing degree is proposed. A task partitioning model is given to perform fine-grained division of computing tasks. Furthermore, the energy consumption model of computing task offloading is obtained through the time delay model, and then the cost function of computing task offloading is constructed in combination with the load balancing degree and energy consumption. With the task offloading strategy, the minimum cost of task offloading is obtained under the multiple constraints, and the path of computing task offloading is determined. the simulation results demonstrate that the strategy can significantly improve the load balancing of the edge server and the overall performance of the edge server. © 2022 ieee.

关键词： Energy utilization

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An Exploration on Development of A Smart Indoor Substation Monitoring and control system Based on the IOT 4

An Exploration on Development of A Smart Indoor Substation M...

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4th international conference on Emerging Research in Electronics, Computer Science and Technology, ICERECT 2022

作者： Sinha, Deepak Kumar Gupta, Anurag Jain University Department of Computer Science and Engineering Bangalore India Teerthanker Mahaveer University Department of Computing Science and IT Moradabad India

ISBN: (纸本)9781665456357

the division of power and energy leaders faces inspection of remote controls and sub-equipment controls. A station is a task that is typically performed physically or in a prohibitive PLC and SCADA system. With the operating system built in, everything is particularly eye-catching and ready to interact within your ongoing web construction. To further develop the organization of time and matter, this paper proposes an association method considering the case of sub-instrument monitoring and management. IoT-based station systems will allow objects to be detected or controlled from an appropriate path through existing connectivity facilities, paving the way for more explicit real-world compromises to PC-based structures and broader Features, precision and economic benefits are minimized. Human mediation. Furthermore, the model structure was finalized and followed up to evaluate the practicality of the proposed model. © 2022 ieee.

关键词： SCADA systems

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Higher Order Optimization Based control of Grid-Tied DFIG Wind Energy Conversion system 4

Higher Order Optimization Based Control of Grid-Tied DFIG Wi...

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4th ieee international conference on computing, Power and Communication Technologies, GUCON 2021

作者： Hamid, Bisma Hussain, Ikhlaq Iqbal, Sheikh Javed Singh, Bhim NIT Department of Electrical Engineering Srinagar India University of Kashmir Department of Electrical Engineering India NIT Department of Electrical Engineering Srinagar India Indian Institute of Technology Department of Electrical Engineering India

ISBN: (纸本)9781728199511

this paper proposes a higher order optimization based adaptive filter for grid side converter (GSC) of doubly fed induction generator (DFIG) based wind energy conversion system (WECS). the proposed control algorithm along with battery energy storage system (BESS) is responsible for operating the system in fixed and variable mode in addition to power quality enhancement of the system. It determines precise weight of control parameters and eliminates the use of additional phase locked loop (PLL) computational blocks in GSC control thereby reducing system complexity. the optimal wind power extraction is ensured by adopting tip speed ratio control in rotor side converter control (RSC) of the system. the presented control is found to have better performance than the conventional control under various operating conditions. the effectiveness of the control is verified by studying behaviour of system and control parameters in MATLAB/Simulink. © 2021 ieee.

关键词： Power quality

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Impact of the Intelligent control system in Assisting Humans Regarding Complex Information Processing 4

Impact of the Intelligent Control System in Assisting Humans...

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4th international conference on Inventive Research in computing Applications, ICIRCA 2022

作者： Ambika, R. Lahane, Prashant Kumar, G. Rabbi, Fazle Maarif, Muhammad Anas Qureshi, Mohmad Kashif Bms Institute of Technology and Management Department of Ece India Mit World Peace University Faculty of Engineering India Srm Institute of Science and Technology Department of Management India Australian Computer Society Australia Institut Pesantren Kh. Abdul Chalim Pacet Mojokerto Indonesia Sanskriti University Computer Science & Engineering Professor Cum Data Scientist India

ISBN: (数字)9781665497077

ISBN: (纸本)9781665497077

Intelligent control system is a control technique that utilises different computing approaches such as fuzzy logic, Bayesian probability, neural networks and machine learning. Information processing is change of information within a manner detectable through an observer. It describes everything that happens in universe from falling of rocks to printing text files from a digital computer system. this paper aimed to analyse the impact of intelligent control systems (ICS) to assist humans with complex information systems. In order to achieve this aim, the paper has conducted a literature review to understand other authors' perspectives. It has discussed concept of ICS and its role in assisting information systems. Additionally, the paper has analysed information processing and other information about it. In order to collect relevant data on selected research topic, paper has conducted a secondary data collection method. It has selected data from secondary resources and analysed data with help of thematic analysis. this data analysis method helped to understand data patterns on selected research topic. Based on data analysis, results found that key methods in intelligence control are fuzzy control, neural network control, and expert control and these controls offer useful and relevant programming regarding complex information systems. Additionally, intelligent control can adapt, learn and plan under a huge uncertainty as well as cope with a huge amount of information. Finally, based on robust discussion, paper has formulated an appropriate conclusion for this research. © 2022 ieee.

关键词： Fuzzy control

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Performance of UFMC Waveform Design implemented in Massive MIMO system for 5th Generation Wireless Communication systems 4

Performance of UFMC Waveform Design implemented in Massive M...

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4th international conference on Advances in computing, Communication control and Networking, ICAC3N 2022

作者： Jolania, Smita Sindal, Ravi Saxena, Ankit Iet Davv Dept. of Electronics and Communication Indore India Medicaps University Dept. of Electronics and Communication Indore India

ISBN: (纸本)9781665474368

Next generation wireless network are intended to support heterogeneous networks and to meet the major challenge of coping with spectral efficiency (SE) to accommodate larger number of users with reduced complexity and latency. One way is to increase the number of antenna arrays at base station which can provide the multiplexing gain and reduced radio frequency (RF) chains. Massive multiple-input multiple-output (MIMO) system with large number of antennas is designed to increased spectral efficiency. A lot of signal processing challenges in Massive MIMO system are to be deal with to improve spectral efficiency in multi antenna technology. this paper addresses multicarrier signal format named Universal Filtered Multi-Carrier (UFMC) as new waveform in multi-user massive MIMO systems. UFMC is the most promising waveformto be used in 5G and beyond networks as it facilitates multiple users to be served within the same frequency and time slot. In this paper, UFMC modulation with Quadrature Amplitude Modulation (QAM) mapping into the massive MIMO system with linear processing is implemented and the result are shown that it achieves higher SE and even high data rates with reduced Bit Error Rate (BER). © 2022 ieee.

关键词： Spectrum efficiency

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Fractional-order Sliding Mode controller Applied for Load Frequency control of Power system 4

Fractional-order Sliding Mode Controller Applied for Load Fr...

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4th ieee international conference on computing, Power and Communication Technologies, GUCON 2021

作者： Guha, DIpayan Roy, Provas Kumar Banerjee, Subrata Motilal Nehru National Institute of Technology Electrical Engineering Department Allahabad India Kalyany Government Engineering College Electrical Engineering Department Kalyani India National Institute of Technology Durgapur Electrical Engineering Department Durgapur India

ISBN: (纸本)9781728199511

this paper discusses a resilient controller called fractional-order sliding mode controller (FOSMC) for frequency regulation of an isolated hybrid power system against the uncertain output of wind power generator and sudden load perturbation. the key objective of integrating fractional-order calculus (FOC) into SMC design is to ameliorate robustness and effective attenuation of chattering at controller output. the results derived with FOSMC are compared with SMC and conventional controllers for establishing FOSMC's deftness. Investigation of system performances authenticates the effectiveness of the applied FOSMC over its other variants. © 2021 ieee.

关键词： Sliding mode control

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An Efficient Sensorless Speed-control of im Drive system with Different Rotor Configurations 4

An Efficient Sensorless Speed-Control of im Drive System wit...

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4th ieee international conference on computing, Power and Communication Technologies, GUCON 2021

作者： Hussien, Mohamed G. Islam, Md. Rabiul Liu, Yi Xu, Wei Tanta University Faculty of Engineering Dept. of Electrical Power and Machines Engineering Tanta Egypt University of Wollongong Faculty of Engineering and Information Sciences NSW Australia School of Electrical and Electronic Engineering Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9781728199511

the aim of this paper is to implement a sensorless vector-control system with an efficient speed-estimation procedure for the induction motor (IM) drives with different rotor configurations. A simplified observation method of the mechanical speed is proposed using the principles of the indirect scheme of field orientation (IRFOC) and based on the relations of phase axes for the adopted motor. To assure the observability of the new sensorless algorithm for speed-control process, a complete analysis supported with the test results under different states of operation are realized. the analysis validate the efficacy of the new speed-estimation procedure which validate its observability and robustness for the adopted system's sensorless vector control methodology. © 2021 ieee.

关键词： Induction motors

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Joint Beam Pattern Selection and Power control with Deep Reinforcement Learning in Wireless Mobile Networks 4

Joint Beam Pattern Selection and Power Control with Deep Rei...

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4th international conference on Advances in Computer Technology, Information Science and Communications, CTISC 2022

作者： Liu, JainShing Chang, Wan-Ling Lin, Chun-Hung Richard Providence University Computer Science and Information Engineering Taichung Taiwan Insurance Chaoyang University of Technology Taichung Taiwan National Sun Yat-sen University Computer Science and Engineering Kaohsiung Taiwan

ISBN: (数字)9781665458726

ISBN: (纸本)9781665458726

To meet the huge data rate required in future wireless mobile networks, inter-cellular interference and inter-beam interference should be further reduced to achieve green communication while increasing the desired performance. For this aim, we study a joint design of beamforming and power control with interference coordination, and formulate it as a non-convex optimization problem. Specifically, the objective of this work is to maximize the overall system capacity while reducing the power consumption to realize the efficient and green communication expected. However, the non-convex problem is hard to solve even given certain optimization tools. To obtain its solution online, we develop a deep reinforcement algorithm based on deep deterministic policy gradient (DDPG) that is applicable for continuous states to realize the continuous power allocation, eliminating the curse of dimensionality due to the discrete action space only solvable for the conventional Q-learning algorithm. In our simulations, the proposed DDPG algorithm is shown to outperform the Q-learning algorithm, and the utility of the former would be 1.5 times higher than that of the latter at most. © 2022 ieee.

关键词： Reinforcement learning

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