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Veeramani, P.
- Controlling and Monitoring of Hybrid Power Station using LabVIEW
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Authors
Affiliations
1 Assistant Professor, Department of EIE, M.Kumarasamy College of Engineering, Karur, Tamil Nadu, IN
1 Assistant Professor, Department of EIE, M.Kumarasamy College of Engineering, Karur, Tamil Nadu, IN
Source
International Journal of Emerging Trends in Science & Technology, Vol 6, No 2 (2020), Pagination: 34-37Abstract
Sustainable power source advancements range from the entrenched, for example, hydropower, to the developing a breeze sun oriented mixture framework. Every innovation has its own individual instrumentation necessities to quantify and control framework factors. The expansion of the new LabView module to the framework gives the truly necessary ongoing data on the framework factors, for example, wind speed, wind bearing, dc power, air conditioning power, air conditioning/dc voltages, and flows. This continuous information procurement framework is being utilized broadly to furnish the understudies with an active research center experience identified with electrical, gadgets, and instrumentation. In this paper, conversations on numerous parts of information securing, instrumentation, interfacing, and writing computer programs depend on a current 1.5 kW wind-sun based half breed power station.Keywords
Hybrid Power, LabView, Power Station
References
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- Tongue Region Based Disease Prediction using Deep Learning
Abstract Views :98 |
PDF Views:0
Authors
Affiliations
1 Assistant Professor, Department of Electronics and Instrumentation Engineering, MKumarasamy College of Engineering, Karur, Tamil Nadu, IN
2 Assistant Professor, Department of Electronics and Instrumentation Engineering, M. Kumarasamy College of Engineering, Karur, Tamil Nadu, IN
1 Assistant Professor, Department of Electronics and Instrumentation Engineering, MKumarasamy College of Engineering, Karur, Tamil Nadu, IN
2 Assistant Professor, Department of Electronics and Instrumentation Engineering, M. Kumarasamy College of Engineering, Karur, Tamil Nadu, IN
Source
International Journal of Emerging Trends in Science & Technology, Vol 7, No 1 (2021), Pagination: 14-19Abstract
Artificial intelligence can learn a few concepts by analyzing tactile information so also to people. It investigates how manufactured neural system (ANNs) can learn unique concepts by analyzing tongue pictures based on concepts, which may be a teach that depends intensely on specialist encounter. A computer-aided strategy will be examined that analyzes tangible information for professionals. It proposes capitalizing on profound learning procedures. A strategy called the conceptual arrangement profound auto encoder (CADAE) is proposed to analyze tongue pictures that speak to diverse body structure (BC) types, which are the basic concepts. Within the first step, CADAE encodes the picture to a representation space; within the moment step, it translates the designs. The tests illustrate that CADAE can learn successful representation of unique concepts adjusted with BC sorts by encoding the tongue pictures. Besides, the representation space of the covered up conceptual neurons can be visualized by a decoder network.Keywords
CNN, Artificial Intelligence, Ann, Deep LearningReferences
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