This paper presents a comprehensive comparative analysis of four machine learning algorithms (SVM, DT, FNN, RF) for fault detection and localization in photovoltaic (PV) systems. The study aims to address the limitati...
详细信息
This paper presents a comprehensive comparative analysis of four machine learning algorithms (SVM, DT, FNN, RF) for fault detection and localization in photovoltaic (PV) systems. The study aims to address the limitati...
详细信息
ISBN:
(数字)9798331539634
ISBN:
(纸本)9798331539641
This paper presents a comprehensive comparative analysis of four machine learning algorithms (SVM, DT, FNN, RF) for fault detection and localization in photovoltaic (PV) systems. The study aims to address the limitations of traditional methods, such as manual inspections and rule-based approaches, which can be time-consuming, error-prone, and inflexible. By leveraging advanced machine learning techniques, we aim to improve the accuracy, efficiency, and scalability of fault detection and localization in PV systems. We conducted a rigorous evaluation of these algorithms using a unified dataset and performance metrics, focusing on common faults like shading, open circuit, and short circuit. Our findings demonstrate the superior performance of Random Forest (RF) for both fault classification and localization tasks, highlighting its potential for enhancing the reliability and efficiency of PV systems.
Deep convolutional neural networks (CNNs) based approaches are the state-of-the-art in various computer vision tasks, including face recognition. Considerable research effort is currently being directed towards furthe...
详细信息
Nowadays, road safety and traffic congestion are major concerns worldwide. This is why research on vehicular communication is very vital. In static scenarios vehicles behave typically like in an office network where n...
详细信息
ISBN:
(纸本)9781467364211
Nowadays, road safety and traffic congestion are major concerns worldwide. This is why research on vehicular communication is very vital. In static scenarios vehicles behave typically like in an office network where nodes transmit without moving and with no defined position. This paper analyses the impact of context information on existing popular rate adaptation algorithms. Our simulation was done in MATLAB by observing the impact of context information on these algorithms. Simulation was performed for both static and mobile cases. Our simulations are based on IEEE 802.11p wireless standard. For static scenarios vehicles do not move and without defined positions, while for the mobile case, vehicles are mobile with uniformly selected speed and randomized positions. Network performance are analysed using context information. Our results show that in mobility when context information is used, the system performance can be improved for all three rate adaptation algorithms. That can be explained by that with range checking, when many vehicles are out of communication range, less vehicles contend for network resources, thereby increasing the network performances.
By advances in technology, integrated circuits have come to include more functionality and more complexity in a single chip. Although methods of testing have improved, but the increase in complexity of circuits, keeps...
详细信息
By advances in technology, integrated circuits have come to include more functionality and more complexity in a single chip. Although methods of testing have improved, but the increase in complexity of circuits, keeps testing a challenging problem. Two important challenges in testing of digital circuits are test time and accessing the circuit under test (CUT) for testing. These challenges become even more important in complex system on chip (SoC) zone. This paper presents a multistage test strategy to be implemented on a BIST architecture for reducing test time of a simple core as solution for more global application of SoC testing strategy. This strategy implements its test pattern generation and output response analyzer in a BILBO architecture. The proposed method benefits from an irregular polynomial BILBO (IP-BILBO) structure to improve its test results. Experimental results on ISCAS-89 benchmark circuits show an average of 35% improvement in test time in proportion to pervious work.
The goal of this study is to develop and enhance an understanding of Iranian customers' adoption of Internet banking services. Enhancement of Internet banking service adoption is an important strategy in today'...
详细信息
An implementation of the disjunctive datafiow execution model for distributed control applications is presented. In this model, a control application is divided into independently executable function blocks. To achiev...
详细信息
An implementation of the disjunctive datafiow execution model for distributed control applications is presented. In this model, a control application is divided into independently executable function blocks. To achieve shorter response times, each function block is only executed when there is a significant change in any of its input data valum. To this end, an implementation hased on a field programmahle gate array (FPGA) was designed. Based on the requirements of a specific control application, VHDL code expressing the necessary firmware support is generated, compiled, and loaded into the FPGA before execution.
暂无评论