To determine the efficiency of photovoltaic (PV) systems, the paper proposes a method based on the location of the Maximum Power Point (MPP) and on the principle of dividing the power-point curve into uniform segments...
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Many different methods are used for generating blackbox test case suites. Test case minimization is used for reducing the feasible test case suite size in order to minimize the cost of testing while ensuring maximum f...
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This paper discusses a proposed fiber-optic sensor that was based on the combination of the material called polyethylene terephthalate glycol (PETG) and a fiber Bragg grating (FBG). The practical experiments were cond...
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This research aims to develop a sophisticated floor evenness measurement system for the construction industry, addressing the subjectivity, inefficiency, and labour-intensive nature of current methodologies. A mobile ...
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A prototype of wearable vital sensing system has been developed with Fiber-Bragg-Gratings senor and 180-nm CMOS image sensor process chip. The system can acquire vital signs by capturing reflecting light with a photod...
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This paper addresses the problem of trajectory tracking of an inverted pendulum mounted on an autonomous quadrotor *** mathematical model of the quadrotor-inverted-pendulum system is first *** and angular velocity con...
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ISBN:
(数字)9789887581536
ISBN:
(纸本)9781665482561
This paper addresses the problem of trajectory tracking of an inverted pendulum mounted on an autonomous quadrotor *** mathematical model of the quadrotor-inverted-pendulum system is first *** and angular velocity control laws are then constructed based on the backstepping technique;the former law features an implicit bound with respect to the position *** origin of the closed-loop system error associated with the proposed control methodology is shown to be locally asymptotically *** simulation results are presented to validate and demonstrate the performance of our solution.
This paper presents a novel anomaly detection methodology termed Statistical Aggregated Anomaly Detection (SAAD). The SAAD approach integrates advanced statistical techniques with machine learning, and its efficacy is...
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In recent years, Digital Twin (DT) has gained significant interestfrom academia and industry due to the advanced in information technology,communication systems, Artificial Intelligence (AI), Cloud Computing (CC),and ...
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In recent years, Digital Twin (DT) has gained significant interestfrom academia and industry due to the advanced in information technology,communication systems, Artificial Intelligence (AI), Cloud Computing (CC),and Industrial Internet of Things (IIoT). The main concept of the DT isto provide a comprehensive tangible, and operational explanation of anyelement, asset, or system. However, it is an extremely dynamic taxonomydeveloping in complexity during the life cycle that produces a massive amountof engendered data and information. Likewise, with the development of AI,digital twins can be redefined and could be a crucial approach to aid theInternet of Things (IoT)-based DT applications for transferring the data andvalue onto the Internet with better decision-making. Therefore, this paperintroduces an efficient DT-based fault diagnosis model based on machinelearning (ML) tools. In this framework, the DT model of the machine isconstructed by creating the simulation model. In the proposed framework,the Genetic algorithm (GA) is used for the optimization task to improvethe classification accuracy. Furthermore, we evaluate the proposed faultdiagnosis framework using performance metrics such as precision, accuracy,F-measure, and recall. The proposed framework is comprehensively examinedusing the triplex pump fault diagnosis. The experimental results demonstratedthat the hybrid GA-ML method gives outstanding results compared to MLmethods like LogisticRegression (LR), Na飗e Bayes (NB), and SupportVectorMachine (SVM). The suggested framework achieves the highest accuracyof 95% for the employed hybrid GA-SVM. The proposed framework willeffectively help industrial operators make an appropriate decision concerningthe fault analysis for IIoT applications in the context of Industry 4.0.
In view of the significant number of defective nanodevices in the Cmos/nanowire/MOLecular hybrid(CMOL)circuit,defect-tolerant mapping is an essential step to achieve correct logic operations in defective CMOL ***,less...
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In view of the significant number of defective nanodevices in the Cmos/nanowire/MOLecular hybrid(CMOL)circuit,defect-tolerant mapping is an essential step to achieve correct logic operations in defective CMOL ***,less effort has been made to improve circuit delay by defect-tolerant *** this paper,the factors affecting the delay of mapped circuits are analyzed,and the path-tree based defect-tolerant mapping method for the delay optimization is *** the logic-domain,the terminology of the path tree is presented,and the logic circuit is first partitioned into multiple path ***,the mapping areas in the physic-domain are pre-planned for(near)critical path *** the mapping process,the specific mapping modes and an updating strategy are formulated to map the path trees:inputs are mapped based on input sorting;(near)critical path trees are mapped with priority,while the others are mapped in a hierarchical ***,an improved tabu search algorithm is employed to verify the validity of the proposed defect-tolerant mapping *** evaluations on the ISCAS benchmarks show that the proposed method can reduce circuit delay by 15.22%.
This article presents a description of research that has led to the development of a new design permanent magnet machine. The machine is based on the operational principle of the transverse-flux machine (TFM). In the ...
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