A5004370275- Teleoperation and Haptic Systems
- Tactile and Sensory Interactions
- Optimal Power Flow Distribution
- Microgrid Control and Optimization
- Visual perception and processing mechanisms
- Electric Power System Optimization
- Robot Manipulation and Learning
- Smart Grid Energy Management
- Energy Load and Power Forecasting
- Power System Optimization and Stability
- Frequency Control in Power Systems
- Power System Reliability and Maintenance
- EEG and Brain-Computer Interfaces
- Motor Control and Adaptation
- Advanced Vision and Imaging
- Advanced Optical Imaging Technologies
- Multilevel Inverters and Converters
- Stroke Rehabilitation and Recovery
- Multisensory perception and integration
- Healthcare Technology and Patient Monitoring
- Spam and Phishing Detection
- Smart Grid and Power Systems
- Sensorless Control of Electric Motors
- Coal and Coke Industries Research
- Mechanics and Biomechanics Studies
Indian Institute of Technology Jodhpur
2021-2024
Indian Space Research Organisation
2023
Indian Institute of Technology Kanpur
2001-2020
Gurukul Kangri Vishwavidyalaya
2016-2020
Pohang University of Science and Technology
2018-2019
Technical University of Munich
2017-2019
Indian Institute of Technology Bombay
2013-2017
Sam Higginbottom Institute of Agriculture
2011-2012
Lovely Professional University
2012
The IEEE “Tactile Internet” (TI) Standards working group (WG), designated the numbering 1918.1, undertakes pioneering work on development of standards for TI. This paper describes WG, its intentions, and developing baseline standard associated reasoning behind that touches a further already initiated under scope: 1918.1.1 “Haptic Codecs TI.” 1918.1 aim to set framework act as foundations TI, thereby also serving basis developed TI within WG. discusses aspects such created architecture,...
The Tactile Internet will enable users to physically explore remote environments and make their skills available across distances. An important technological aspect in this context is the acquisition, compression, transmission, display of haptic information. In paper, we present fundamentals state art codec design for Internet. discussion covers both kinesthetic data reduction tactile signal compression approaches. We put a special focus on how limitations human perception system can be...
This paper brings out the studies of generation scheduling problem in an electrical power system. presents some general reviews research and developments field unit commitment based on published articles web-sites. Here, it is set about to perform a comprehensive survey work made domain Unit Commitment using various techniques. may be helpful tool for researchers, scientists or investigators working area commitment.
Abstract This paper presents novel RFID-based smart card system aimed at optimizing operational efficiency across various applications, including canteen management, identity verification, access control, and resource management. The proposed design uses RFID-enabled cards, in combination with Raspberry Pi Pico microcontroller, LCD display, keypad, GSM communication module, to create a robust, automated solution for seamless user identification, cashless transactions, real-time data by...
This paper deals with a novel approach of artificial intelligence (AI) technique called Hybrid Neuro-Fuzzy (HNF) for Load Frequency Control (LFC) four area hydrothermal interconnected power system. The advantage this controller is that it can handle the non-linearities at same time faster than other conventional controllers. effectiveness proposed in increasing damping local and inter modes oscillation demonstrated Area-1 area-2 consists thermal reheat plant whereas area-3 area-4 hydro...
Recently, the IEEE P1918.1 standardization activity has been initiated for defining a framework Tactile Internet. Within this activity, P1918.1.1 is task group of Haptic Codecs Primary goal to define/develop codecs both closed-loop (kinesthetic information exchange) and open-loop (tactile communications. In paper, we propose reference hardware software setup evaluation kinesthetic codecs. The defines typical teleoperation scenario in virtual environment realization interactions. For...
In applications such as telesurgery, it is required to transmit haptic signals a remote location with delay of at most few milliseconds. To reduce the packet rate and yet retain perceptual quality, adaptive sampling has been explored in literature. particular, earlier work we proposed analyzed an scheme based on Weber's law perception. this paper, explore other possible candidates. We describe experimental setup where users are subjected piecewise constant stimuli which they can respond...
In this article, we identify adaptive sampling strategies for haptic signals. Our approach relies on experiments wherein record the response of several users to stimuli. We then learn different classifiers predict user based a variety causal signal features. The that have good prediction accuracy serve as candidates be used in sampling. compare resultant samplers their rate-distortion tradeoff using synthetic well natural data. For our experiments, use device with maximum force level 3 N and...
In this letter, we propose a new data-driven approach for haptic modeling of normal interactions on homogeneous viscoelastic deformable objects. The is based well-known machine learning technique: random forest. Here, employ forest regression. We acquire discrete-time interaction data many automated cyclic compressions object. A trained to estimate nonparametric relationship between the position and response forces. train very simple interactions. Our results show that model with just 10%...
In this paper, we perform a data driven analysis of human perception 2 D haptic data, and study possible structures the perceptual deadzone. We describe an experimental set up where user is subjected to piecewise constant force, asked respond with click whenever he/she feels any change in stimuli. The jumps force vector are distributed first quadrant circle radius N. timespacing between uniform random variable over range [2,3] seconds. A jump labelled as perceived or nonperceived based on...
Assessing grasp stability is essential to prevent the failure of robotic manipulation tasks due sensory data and object uncertainties. Learning-based approaches are widely deployed infer success a grasp. Typically, underlying model used estimate trained for specific task, such as lifting, hand-over, or pouring. Since every task has individual demands, it important adapt new actions. If same directly applied unnecessary adaptations might be triggered, in worst case, fail. To address this...
Data-driven modeling and rendering is a general approach in haptics aiming to provide highly accurate haptic perceptual experiences simulating complex real physical dynamics, such as deformable or textured objects. A prevalent problem the present methods for data-driven that computational cost grows rapidly, even becoming intractable, interaction complexity number of data increases. This paper proposes one method featured with greatly improved efficiency viscoelastic advantage enabled by use...
Due to the electricity market deregulation, techniques used for load forecasting have gradually improved over years. Deregulation in power system industry has caused rising requirement planning, operating and controlling electric energy systems, which brings a crucial level. Therefore, adequate are desired accurately predicting hence assisting companies generating capacity scheduling, maintenance, planning procurement, etc. An accurate forecast can greatly help distribution improve their...