Disruptions are events in which large fractions of the plasma thermal energy lost due to uncontrolled growth some large-scale instability. Major disruptions lead sudden termination current a very short timescale. A data-driven methodology employing time series analysis using relevant parameters for prediction disruption event before sufficient alarming is useful absence first-principle physics methods. ADITYA ( <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML"...

In the area of AI, pose estimation become very popular. It can easily find landmarks on human body parts in small amount time with use 2D image. There are various deep learning based models available. For particular applications, each model have their own pros and cons. Here, we discussed OpenPose, BlazePose, DeepPose Hourglass architectures. Also, implemented OpenPose BlazePose to locate push-up posture body. Detailed analysis comparison between above-mentioned architectures been presented...

Due to numerous application of Human posture in the real world, it has recently gained a lot attention. This paper gives complete assessment deep learning-based human pose estimation methods and analyses methodology used, because learning can improve performance state-of-the-art methods. Pipelines for single people multi-person are examined individually first. The Alpha Open frameworks used these pipelines and, then compared analyzed.

Abstract Human pose estimation is a technique, which identifies the human body’s landmarks in images and videos. can be divided into single person multi-person estimation, also an estimated poses crowded places as well Depends upon application such activity recognition, Animation, Sports, Augmented reality, etc., Pose output 2D or 3D coordinate format. considering joint angles 2D. Some challenges like small barely visible joints, strong articulations, occlusions, clothing, lighting changes...

This paper presents performance analysis of BPSK, QPSK and 8PSK modulations with Golay coding, Hamming coding Convolution using communication system implemented in LabVIEW. Different order combined different schemes, allow sending more bits per symbol, thus achieving higher throughputs better spectral efficiencies. Linear modulation techniques are bandwidth efficient hence useful for wireless system. Also this the block codes convolution code both. The comparison is made on basis BER over...

Plasma disruption prediction using the data drive technique is popular for fusion experiments. Auto-encoder LSTM neural network implemented on ADITYA/ADITYA-U to predict plasma disruption. There a generic way of processing time series from dataset that facilitates efficient generalization new time-series transfer learning technique. This enables task-specific parameter improvement with residual correction univariate series. provides an on-the-fly architecture expand training model without...

The reduction of harmful greenhouse gas emissions associated with the transportation industry is greatly aided by electrification vehicles. However, disparity between supply and demand for electricity chaotic; only a production/consumption balance could bring two sides together. To address enormous energy waste caused problems storage, flow must be modified. As result, real storage capacity constraint has recently been addressed development electric car batteries. In fact, they are employed...

Within India, many languages are spoken as well used a communication platform in day-to-day life which represents the basic requirements to be able generate NLP based functionalities different Indian languages. Text processing of digital content has experienced great expansion process recent years development innovative technologies that develop new information very quick and understandable form. This paper presents survey on various text sequence challenges like Word Sense Disambiguation,...

Fitness exercises or yoga are very bene?cial to personal health and ?tness; however, they can also be ineffective potentially dangerous if performed in correctly by the user. Exercise mistakes made when user does not use proper form, pose. In our work, we introduce Personal Assistant, an application that detects user’s exercise pose provides personalized feedback. Modified Open Pose is used as a estimator this application. pre trained model composed of multi-stage CNN detect posture. This...