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检索条件"任意字段=International Conference on Electrical Engineering Computing Science and Automatic Control"

共 15381 条记录，以下是161-170 订阅

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Enhancing Hydroponic Systems with IoT: Optimizing pH, Temperature, and Humidity Parameters 3

Enhancing Hydroponic Systems with IoT: Optimizing pH, Temper...

引用

3rd Odisha international conference on electrical Power engineering, Communication and computing Technology, ODICON 2024

作者： Debdas, Subhra Jain, Akshat Mariam, Anika Maiti, Anurati Borah, Anushka School of Electrical Engineering Kiit University Bhubaneshwar India School of Computer Science Engineering Kiit University Bhubaneshwar India School of Computer Science Engineering Kiit Kiit University Bhubaneshwar India

ISBN: (纸本)9798350354379

Hydroponic systems integrated with Internet of Things (IoT) technology offer precise monitoring and control capabilities vital for optimizing plant growth. This research paper investigates the implementation of IoT in hydroponic setups, fo- cusing on monitoring pH, temperature, and humidity parameters to ensure optimal growth conditions. The IoT system continuously measures these parameters and compares them against prede- fined optimal ranges. If the measured values deviate from the optimum, the system triggers an error notification, indicating the need for corrective action. Through a series of experiments and simulations, this study evaluates the effectiveness of the IoT-based monitoring system in maintaining ideal environmental conditions for hydroponic cultivation. The research aims to contribute to the advancement of precision agriculture by providing insights into the integration of IoT technologies to enhance crop yield and quality in hydroponic farming. © 2024 IEEE.

关键词： Hydroponics

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Optischedule Algorithm for automatic Time Table Generator 3

Optischedule Algorithm for Automatic Time Table Generator

引用

3rd IEEE international conference on Distributed computing and electrical Circuits and Electronics, ICDCECE 2024

作者： Mamatha, T. Aditya, G.V. Meghana, S. Anvitha, S. Veekshitha, P. Sreenidhi Institute Of Science And Technology Computer Science And Engineering Department Telangana India Institute Of Science And Technology Computer Science And Engineering Department Telangana India

ISBN: (纸本)9798350318609

automatic timetable generation is a complex optimization problem with practical applications in various domains such as education, healthcare, and event management. The challenge lies in efficiently scheduling activities while satisfying numerous constraints and objectives. In this study, we propose an OptiSchedule algorithm for automatic timetable generation. The algorithm employs a combination of heuristic search techniques and metaheuristic optimization methods to iteratively improve timetable solutions. It starts with initializing a timetable grid and iteratively refines the solution by generating neighbouring solutions and selecting the most promising ones based on an evaluation function. Through extensive testing and validation, our OptiSchedule algorithm demonstrates significant improvements in timetable quality and efficiency compared to existing approaches. The algorithm effectively minimizes conflicts, optimizes resource utilization, and balances workload distribution. Furthermore, it provides flexibility for users to input constraints and preferences, allowing customization to specific scheduling requirements. The OptiSchedule algorithm represents a significant advancement in the field of automatic timetable generation. Its ability to produce high-quality schedules while considering complex constraints makes it a valuable tool for educational institutions, healthcare facilities, and businesses alike. By streamlining scheduling processes and optimizing resource allocation, OptiSchedule contributes to improved operational efficiency and overall organizational performance. Through rigorous experimentation and evaluation, our study demonstrates the effectiveness of the OptiSchedule algorithm in improving timetable quality and reducing scheduling overhead. Compared to traditional methods, OptiSchedule generates timetables with fewer conflicts and better resource utilization, leading to enhanced productivity and satisfaction among stakeholders. Moreover, its fl

关键词： Iterative methods

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Power Quality Challenges in Integrated Distribution Generation and Scope of Intelligent control Techniques 2

Power Quality Challenges in Integrated Distribution Generati...

引用

2nd IEEE international conference on Intelligent and Innovative Technologies in computing, electrical and Electronics, ICIITCEE 2024

作者： Birje, Tushar Karchi, Nalini Kulkarni, D.B. Karchi, Nihal Kle Dr. M S. Sheshgiri College of Engineering & Technology Dept of Electrical & Electronics Belagavi India Kls Gogte Institute of Technology Department of Electrical and Electronics Belagavi India Kls Gogte Institute of Technology Department of Computer Science Engineering Belagavi India

ISBN: (纸本)9798350306415

This paper gives an overview of challenges introduced due to the interconnection of distributed generators into the grid. It also discusses the control technique and scope of AI applications in the mitigation of power quality issues. Exhaustive discussion is carried out on the interconnection of DGs to the grid and power quality issues. It also discusses the different controllers and algorithms that are used to control the parameters of the distributed generation system. A detailed comparison of conventional controllers studied by authors that are used in distribution generation is also discussed. Similarly, the application of artificial intelligence and adaptive algorithm in distribution generation is also presented as per the points, Different connection methods of DG's to the grid, the effect of distributed generation on power quality, the necessity of local voltage control of distribution generator, control methods and intelligent techniques. © 2024 IEEE.

关键词： Adaptive algorithms control techniques Distribution generation FACTS Renewable energy sources

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A reliability analysis method for electronic systems based on survival signature 3

A reliability analysis method for electronic systems based o...

引用

3rd international conference on electrical, Electronics, and Information engineering, EEIE 2024

作者： Xiao, Ziwen Peng, Yu Liu, Sizhe Liu, Yuhang Yang, Zhiming Yu, Yang Harbin Institute of Technology Harbin China Beijing Aerospace Automatic Control Institute Beijing China

ISBN: (纸本)9781510688179

Due to the complex structure and numerous electronic components, the reliability analysis of electronic systems has become more challenging. Therefore, we propose a reliability analysis method for electronic systems based on survival signature. The level of fault impact factors is evaluated based on the survival signature theory, and the weight of fault impact factors is evaluated through the analytic hierarchy process. This method simplifies the structural analysis process of complex systems, making reliability analysis more objective and efficient. The effectiveness of this method was verified through reliability analysis of the digital output control circuit. © The Authors.

关键词： analytic hierarchy process Electronic systems reliability analysis survival signature

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G and GO interaction into TiO2 (010) anatase and its influence on the bandgap: DFT Study 20

G and GO interaction into TiO2 (010) anatase and its influen...

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20th international conference on electrical engineering, computing science and automatic control, CCE 2023

作者： Cano, Francisco J. Korolevych, Oleksandr Makowska-Janusik, Malgorzata Coste, Sandrine Ashok, A. Velumani, S. Kassiba, A. Le Mans Universite Institute of Molecules & Materials of le Mans France CINVESTAV-IPN Programa de Nanociencias y Nanotecnologia Mexico Jan Dlugosz University Faculty of Science and Technology Częstochowa Poland Instituto de Fisica Unam Mexico Mexico Texas A&m University J. Mike Walker '66 Dept. of Mechanical Engineering United States

ISBN: (纸本)9798350306767

In this work, density functional theory (DFT) calculations were used to investigate the effect of graphene (G) and graphene oxide (GO) on the electronic properties of TiO2. Initially, a bandgap of 3.23 eV was determined for pure anatase TiO2 layers. Subsequently, with the incorporation of G and GO, a possible hybridization effect of the electron states at the interface was observed, leading to the formation of new intermediate energy bands not originally found in TiO2. This condition causes the bandgap of the hybrid material to be reduced. Our calculations further showed how both structures interact with the TiO2 surface, providing valuable information that offers opportunities to optimize the interfaces and improve the performance of these materials in various applications. © 2023 IEEE.

关键词： Titanium dioxide

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Luminescent and electrical properties of PIN diodes based on a-Si1-xCx:H thin films 20

Luminescent and electrical properties of PIN diodes based on...

引用

20th international conference on electrical engineering, computing science and automatic control, CCE 2023

作者： Ramos-Serrano, J.R. Meneses, M. Moreno, M. Morales, A. Aca, Victor Juarez, I. Electronics Coordination Instituto Nacional de Astrofísica Óptica y Electrónica Tonantzintla Puebla Mexico Centro de Investigación y de Estudios Avanzados Del Ipn Electrical Engeneering Department México City Mexico

ISBN: (纸本)9798350306767

This work presents the study of the light emission and conduction mechanisms of PIN diodes using an amorphous silicon-carbide (a-Si1-xCx:H) thin film as active layer. The PIN structures were fabricated by the PECVD technique onto P-type silicon wafers at a substrate temperature of 200 °C. Two different active layers deposited with the CH4/SiH4 flow rates of 30 sccm/ 6sccm and 30 sccm/1 sccm were used. Both structures display red-orange electroluminescence only in forward bias. The structure deposited with a lower silicon content shows a shorter wavelength emission with a higher intensity at a lower voltage bias. From the current-voltage measurements the dominant charge transport mechanisms were proposed. On the one hand, the Fowler-Nordheim tunneling was related to the highest silicon content structure due to a lower barrier height, and on the other hand, the trap-assisted tunneling was associated with the lowest silicon content related to a higher density of defects in localized tail states. © 2023 IEEE.

关键词： Silicon carbide

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Abstracts

Abstracts

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international conference on electrical engineering, computing science and automatic control (CCE)

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Tracking of Arm Response for QNET Rotary Inverted pendulum 5

Tracking of Arm Response for QNET Rotary Inverted pendulum

引用

5th IEEE international conference on Recent Trends in Computer science and Technology, ICRTCST 2024

作者： Chandra, Shivdas Keshav, Navneet Kumar, Ramswarup Laxmi, Vijaya RVS College of Engg. Tech Dept. Electrical and Electronics Engineering Jamshedpur India Birla Institute of Technology Dept. Electrical and Electronics Engineering Ranchi Mesra India

ISBN: (纸本)9798350351378

control theory is a field rich in opportunities and new directions dealing with an automatic decision process to improve a control system's output. This paper presents the stabilization of the pendulum in an upright position by applying pulse command as a reference to the arm signal for QNET(Quanser NI ELVIS Trainer) Rotary Inverted Pendulum Board 2.0 in LabVIEW(Laboratory Virtual Instrument engineering Workbench). LQR (Linear Quadratic Regulator) controller is used to track the arm reference signal for different values of the positive semidefinite weighting matrix in LabVIEW. Finally, test for an upright mode of the pendulum with the optimal value of control gain in the simulation model which is interfaced with hardware through NI ELVIS board. © 2024 IEEE.

关键词： Decision theory

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Custom Transformer-Based Approach for Enhanced Bengali automatic Speech Recognition 1

Custom Transformer-Based Approach for Enhanced Bengali Autom...

引用

1st international conference on Innovations in Communications, electrical and Computer engineering, ICICEC 2024

作者： Deepa, R. Jayalakshmi, V. Thilakavathy, P. Manikandan, G. Surendran, R. SRM Institute of Science and Technology School of Computing Department of Computing Technologies Chennai India SRM Institute of Science and Technology Department of Computer Science and Applications Ramapuram Chennai India Vels Institute of Science and Engineering Vels Institute of Science Technology and Advanced Studies Chennai India Anna University St. Joseph's College of Engineering Department of Artificial Intelligence and Machine Learning Chennai India Saveetha Institute of Medical and Technical Sciences Saveetha School of Engineering Department of Computer Science and Engineering Chennai India

ISBN: (数字)9798350376517

ISBN: (纸本)9798350376517

Automated speech recognition (ASR) systems struggle with Bengali, which is the fifth most spoken language. Bengali has a varied morphology, many dialects, and limited high-quality annotated voice data. Traditional voice recognition techniques work well however struggle with Bengali phonetics and syntax. This method eliminates the need for large amounts of tagged data and the difficulties of differentiating sounds in different languages, both issues are addressed by this procedure. The research in this paper offers an Intellectual Bengali Speech Recognition System using Deep Learning Techniques (IBSRS-DLT). The model in this system uses transformer architecture and attention processes to manage Bengali speech pattern long-range dependencies. The IBSRS-DLT outperforms standard models in recognition accuracy using a pre-trained transformer model modified for phonetic and lexical correctness and fine-tuned on Bengali datasets. After training on a vast Bengali speech corpus, real-world datasets and rigorous simulations confirm the system. IBSRS-DLT can be used for automatic transcription, voice-controlled devices, and Bengali virtual assistants, such applications are efficient and accessible. The simulation showed a considerable boost in recognition speed and a decrease in keyword mistakes compared to current methods. This paper shows that deep learning can solve linguistic issues in ASR systems, enabling scalable regional language detection. © 2024 IEEE.

关键词： Deep learning

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A Survey of Machine Learning Algorithms for Defective Steel Plates Classification 8th

A Survey of Machine Learning Algorithms for Defective Steel ...

引用

8th international conference on computing, control and Industrial engineering, CCIE 2024

作者： Gao, Meiyan Wei, Yuanzhou Li, Zhenglin Huang, Bolin Zheng, Changyang Mulati, Aliya College of Engineering and Computing Florida International University Miami United States Department of Computer Science and Engineering Texas A&M University College Station United States Viterbi School of Engineering University of Southern California CaliforniaCA United States School of Engineering Brown University Rhode Island United States Biological Science Florida International University Florida United States

ISBN: (纸本)9789819769339

This paper aims to explore various classification models and data processing techniques for classifying defects on steel plates. The study is based on a dataset of steel plates with seven different types of defects and seeks to identify the most effective combination of machine learning models and data processing techniques for automatic defect recognition. Key methodologies include data augmentation, feature selection, and dimensionality reduction techniques like SMOTE, PCA, and REF. Various models, including Naive Bayes, Logistic Regression, SVM, Decision Trees, Random Forests, and Neural Networks, are evaluated. The results indicate that Hyperparameter Tuning and REF significantly enhance model performance, with Random Forest and Neural Networks achieving the highest accuracy. Random Forest, due to its interpretability and efficiency, is identified as the best model for this classification task. This research lays a foundation for applying machine learning algorithms in industrial defect detection, promising improvements in automation, efficiency, and production quality. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Dimensionality reduction

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