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Institution

Rajasthan Technical University

EducationKota, Rajasthan, India
About: Rajasthan Technical University is a education organization based out in Kota, Rajasthan, India. It is known for research contribution in the topics: Photovoltaic system & PID controller. The organization has 716 authors who have published 1084 publications receiving 4530 citations. The organization is also known as: RTU.


Papers
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Proceedings ArticleDOI
04 Apr 2015
TL;DR: A new technique to remove environmental noise in original speech signal by combining fuzzy based classification of noises, modelling of noises and cancellation of noise signals using Neuro fuzzy technique is proposed.
Abstract: Here an attempt has been made for environmental noise cancellation using adaptive Neuro fuzzy inference system for mobile communication. The aim of present work is to reduce the environmental noise during the speech communication by using Adaptive Neuro Fuzzy Filtering. Now a day's many people are using mobile phones during their journey, as received signal is continuously corrupted by environmental noise, which can be identified by the neural network classification since neural network alone cannot provide good performance so a new technique to remove environmental noise in original speech signal by combining fuzzy based classification of noises, modelling of noises and cancellation of noise signals using Neuro fuzzy technique is proposed.
Proceedings ArticleDOI
01 Jul 2018
TL;DR: Investigation of Operational Principle for Integrated Inverting and Non-Inverting PWM AC-AC Converter offers two switching states that supports in providing the regulation of output voltage in both the directions by operating in different modes.
Abstract: This paper presents Investigation of Operational Principle for Integrated Inverting and Non-Inverting PWM AC-AC Converter. The proposed topology exhibits advantages of traditional AC-AC converter by pulse width modulation (PWM) techniques. It offers two switching states that supports in providing the regulation of output voltage in both the directions by operating in different modes. Each operating mode of proposed converter can provide invert buck-boost and non-invert buck-boost output voltage along with power factor compatibility. In the proposed work, two modes of UNI-AC have been considered. The simulation is carried out in MATLAB-2016 b environment.
Proceedings ArticleDOI
01 Oct 2017
TL;DR: This paper presents the model result comparison of 2Tx and 2Rx antenna of Alamouti scheme and utilizes space-time coding (STC) in MIMO development to advancement the strength of communication bond.
Abstract: Wireless mindfulness has created in latest couple of years. Multiple-input Multiple-output (MIMO) is the fundamental wireless tools where transmit and receiver both split ends of the wireless bond are attached with antenna array. This technology was frequently second-hand for examination of the channel limit and furthermore manual for the exploration for Multiple-input Multiple-output. To advancement the strength of communication bond a process utilizes called space-time coding (STC) in MIMO development. The wireless communication present space-time blocks codes for divergent quantity of transmit and get radio wire are planned to achieve the maximum diversity. This paper presents the model result comparison of 2Tx and 2Rx antenna of Alamouti scheme.
Book ChapterDOI
01 Jan 2023
TL;DR: In this article , an attention layer is added to the Bi-LSTM and GRU models to solve the bottleneck problem that arises in encoder-decoder systems during the text analysis of sentences of varying lengths and lengths.
Abstract: One of the most concentrated areas of time series assessment is anticipating the expense of stocks. With propels in AI and profound learning innovation, the examination of monetary information for stock cost anticipating has altogether sped up. RNN algorithms like LSTM (Long Short-Term Memory) and GRU (Gated Recurrent Unit) provide precise projections on stock market time series data. These calculations, then again, face bottleneck issues because of the intricacy of the information arrangements. The issue is then resolved by incorporating an attention layer into the deep learning model. It is used to solve the bottleneck problem that arises in encoder–decoder systems during the text analysis of sentences of varying lengths and lengths. In order to get attributes that are more relevant to the outcome, we have added an attention layer to our Bi-LSTM and GRU models in this paper. The attention layer scores each attribute based on how closely the input sequence matches the current states of the encoders and decoders using the output vectors from the encoders and the hidden states of the decoders. The layer then, assign weights to the attributes based on the scores to highlight which attribute is more relevant in the sequence. Thus, by adding the attention layer to the encoder–decoder model, we can highlight relevant information from the complex time series sequences and hence provide better stock price predictions.
DOI
01 Oct 2021
TL;DR: In this paper, a PV module with a DC-DC boost converter governed through a fractional order PID (FOPID) controller was designed and investigated for determining the best output variables for the solar photo-voltaic (SPV) plant and the input conditions and gains for the FOPID controller.
Abstract: This paper discusses the design as well as investigation of a PV module with a DC-DC boost converter governed through a fractional order PID (FOPID) controller. The study involves determining the best output variables for the solar photo-voltaic (SPV) plant as well as the input conditions and gains for the FOPID controller. The performance of the booster demonstrates that the designed optimal FOPID controller could indeed enhance the feedback device’s transient response besides lowering control activity with the best PID controller. The FOPID controller also improves the boost converter’s capability to track in voltage source. The outcomes indicate that the designed method outperforms in two areas: determining the variables of the PV model as well as determining the optimum conditions for the FOPID controller.

Authors

Showing all 739 results

NameH-indexPapersCitations
Dinesh Kumar69133324342
Seema Agarwal5230912325
Vikas Bansal4318423455
Rajeev Gupta332313704
Harish Sharma241391963
Basant Agarwal21661386
Ajay Verma201891554
Sunil Dutt Purohit20941228
Durga Prasad Mohapatra181861293
Prashant K. Jamwal17621267
Dhanesh Kumar Sambariya1649693
Girish Parmar1482665
Vikas Bansal13171015
Sandeep Kumar Parashar1322339
Mithilesh Kumar12103734
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20239
202235
2021178
2020147
2019172
2018129