Industrial Quality Prediction System through Data Mining Algorithm
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Comparative Analysis an Early Fault Diagnosis Approaches in Rotating Machinery by Convolution Neural Network
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Nakagami-m Fading Detection with Eigen Value Spectrum Algorithms
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Abstractive Summarization System
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Design of Adaptive Estimator for Nonlinear control system in Noisy Domain
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Automated Nanopackaging using Cellulose Fibers Composition with Feasibility in SEM Environment
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Comparative Analysis of Temperature Measurement Methods based on Degree of Agreement
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Transistor Sizing using Hybrid Reinforcement Learning and Graph Convolution Neural Network Algorithm
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A Review on Meshing Techniques in Biomedicine
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EL DAPP - An Electricity Meter Tracking Decentralized Application
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SMART STREET SYSTEM WITH IOT BASED STREET LIGHT OPERATION AND PARKING APPLICATION
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ENERGY AND POWER EFFICIENT SYSTEM ON CHIP WITH NANOSHEET FET
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Abstractive Summarization System
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A Review on Meshing Techniques in Biomedicine
Volume-3 | Issue-4
MIMO BASED HIGH SPEED OPTICAL FIBER COMMUNICATION SYSTEM
Volume-1 | Issue-2
Industrial Quality Prediction System through Data Mining Algorithm
Volume-3 | Issue-2
Comparative Analysis of Temperature Measurement Methods based on Degree of Agreement
Volume-3 | Issue-3
Transistor Sizing using Hybrid Reinforcement Learning and Graph Convolution Neural Network Algorithm
Volume-3 | Issue-3
VIRTUAL REALITY SIMULATION AS THERAPY FOR POSTTRAUMATIC STRESS DISORDER (PTSD)
Volume-1 | Issue-1
Comparative Analysis an Early Fault Diagnosis Approaches in Rotating Machinery by Convolution Neural Network
Volume-3 | Issue-2
Volume - 2 | Issue - 3 | september 2020
Published
27 August, 2020
Electrical device monitoring is an essential work for improving the efficiency of electrical energy. The industrial device monitoring process are majorly contributed with physical verification of the process going on with the electrical instrument. In some cases the monitoring work is handled with help of automated sensor controllers. The automated sensor controllers are widely used for emergency cases of the ongoing process by the electrical instruments. The system status will be displayed on a screen when the system is fully controlled by an intelligent controller. From the status certain process and equipment are able to manage by physical switches by a human operator. The proposed work is designed to control certain applications which are remotely placed from the control station. The design utilizes internet medium and Blynk server for the specific operations. A sensor based monitoring station is kept near to the electrical device for sending the status of the application system. By using this design any system can be monitored remotely without physical verification. This improves the efficiency of energy utilization by the control devices.
KeywordsRemote monitor IoT monitoring system IoT control Blynk control Android control
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