Electrical Testing Services in India

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Electrical Testing Services in India - Electrical Testing Services provides a national service for all aspects of electrical testing and tagging, fire safety, and more.

Engineering

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Discover the Power of SIEMENS Reyrolle 7SR17 Rho Motor Protection Relay! 🔌🔒 In this informative video, we delve deep into the world of motor protection with the cutting-edge SIEMENS Reyrolle 7SR17 Rho numeric protection relay. With four current inputs and the option for three voltage inputs, this relay is a game-changer for safeguarding motors and their connections. Join us as we explore the features, applications, and benefits of the 7SR17 Rho, and learn how it provides a seamless and integrated protection system to ensure the longevity and efficiency of your valuable assets. Don't miss out on this essential guide to motor protection technology. Hit that like button, subscribe for more insightful content, and empower your engineering knowledge with SIEMENS Reyrolle 7SR17 Rho!"

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Are you in need of a reliable and efficient tool for earth clamp testing? Look no further than the KEW 4202 Earth Clamp Tester. This powerful device has a wide measurement range of 0.05Ω to 1200Ω, making it suitable for a variety of applications. It also features a large, easy-to-read display and a simple, user-friendly interface, making it easy to get accurate readings quickly and efficiently. But that's not all. The KEW 4202 also offers a number of advanced features, such as data logging and USB connectivity, which allow you to store and analyze your measurements with ease. It even has a unique "noise check" function that ensures accurate measurements in noisy environments. Overall, the KEW 4202 is the ultimate tool for earth clamp testing, thanks to its combination of accuracy, convenience, and advanced features. Whether you're an electrician, engineer, or DIY enthusiast, this device is sure to become an essential part of your toolkit.

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The objective is to design and develop an application that will help to imp rove the efficiency and effectiveness of the police security measures in keeping criminal records. ABSTRACT The victims can file the FIR through the website under various sections. The user can send photo evidence if any online. There will be an 'SOS 'capability in which, the user can press a button and his/her location will be sent to the nearest Police station. There will be a separate component for the accident victims so that FIR can be registered fast and treatment can be started as soon as possible. In this current system, user's information will be kept confidential and only users complain will be forwarded to its nearest police station. Users complain number will be forwarded from the server side automatically. For identifying location and authentic person, concept of cookies and IP addressing has been used. To eliminate the location conflicts between police station, server will play a vital role. It will search the address table using IP address and forward message to that police location from where the message has been received. We intend to create a project which will help bridge the gap between the police department and the common man. 'Online FIR Registration and SOS system' project will have an app from where the users can file FIR against the offender under the various sections. The main site will be maintained by the admin (from the police) who will then notify the user if the FIR has been registered and the necessary action has been taken.

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This research is developing an incubator system that integrates the internet of things and artificial intelligence to improve care for premature babies. The system workflow starts with sensors that collect data from the incubator. Then, the data is sent in real-time to the internet of things (IoT) broker eclipse mosquito using the message queue telemetry transport (MQTT) protocol version 5.0. After that, the data is stored in a database for analysis using the long short-term memory network (LSTM) method and displayed in a web application using an application programming interface (API) service. Furthermore, the experimental results produce as many as 2,880 rows of data stored in the database. The correlation coefficient between the target attribute and other attributes ranges from 0.23 to 0.48. Next, several experiments were conducted to evaluate the model-predicted value on the test data. The best results are obtained using a two-layer LSTM configuration model, each with 60 neurons and a lookback setting 6. This model produces an R 2 value of 0.934, with a root mean square error (RMSE) value of 0.015 and a mean absolute error (MAE) of 0.008. In addition, the R 2 value was also evaluated for each attribute used as input, with a result of values between 0.590 and 0.845.

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