Pravin Marotrao Ghate
@jspmrscoe.edu.in
Asst.Professor, Electronics & Telecommunication
JSPM's Rajarshi Shahu College of Engineering Pune
15 Year of Experience in teaching .
6 International Paper 5 National Paper published
Two Patent
RESEARCH INTERESTS
Product Development ,Software development Speech Processing
FUTURE PROJECTS
Product development
Product for agriculture
Applications Invited
Students
Software development
Better management
Applications Invited
Students
Scopus Publications
Scholar Citations
Scholar h-index
Scopus Publications
Prabhakar Narasappa Kota, Pravin Balaso Chopade, Bhagvat D. Jadhav, Pravin Marotrao Ghate, and Shankar Dattatray Chavan
Academy and Industry Research Collaboration Center (AIRCC)
The Internet of Things (IoT) is a dispersed network system that connects the world through the Internet. The architecture of IoT consists of more gateways and resources which cannot be allocated in a manual process. The allocation of resources in IoT is a challenging process due to the higher consumption of energy and high latency rate. To overcome the challenges in existing works, this research introduced an Improved Reptile Search Algorithm (IRSA) to solve the optimization problem which occurs during the time of allocation resources among IoT networks. IRSA employs the methodology of levy flight and cross-over to update the candidate position and enhance the search speed in a single iteration. The proposed method consumes less energy and has low latency during data transmission from User equipment (UE) to the base station.IRSA has been compared with the existing Scalable Resource Allocation Framework (SRAF) and Improved Chaotic Firefly Algorithm (ICFA). The obtained experimental results show that the proposed IRSA attained better performance with an allocation rate of 96.40% which is comparatively higher than SRAF and ICFA with 92.40% and 91.67% respectively.
Pravin Balaso Chopade, Prabhakar N. Kota, Bhagvat D. Jadhav, Pravin Marotrao Ghate, and Shankar Dattatray Chavan
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
The ultimate goal of the Super-Resolution (SR) technique is to generate the High-Resolution (HR) image by combining the corresponding images with Low-Resolution (LR), which is utilized for different applications such as surveillance, remote sensing, medical diagnosis, etc. The original HR image may be corrupted due to various causes such as warping, blurring, and noise addition. SR image reconstruction methods are frequently plagued by obtrusive restorative artifacts such as noise, stair casing effect, and blurring. Thus, striking a balance between smoothness and edge retention is never easy. By enhancing the visual information and autonomous machine perception, this work presented research to improve the effectiveness of SR image reconstruction The reference image is obtained from DIV2K and BSD 100 dataset, these reference LR image is converted as composed LR image using the proposed Lucy Richardson and Modified Mean Wiener (LR-MMWF) Filters. The possessed LR image is provided as input for the stage of bicubic interpolation. Afterward, the initial HR image is obtained as output from the interpolation stage which is given as input for the SR model consisting of fidelity term to decrease residual between the projected HR image and detected LR image. At last, a model based on Bilateral Total Variation (BTV) prior is utilized to improve the stability of the HR image by refining the quality of the image. The results obtained from the performance analysis show that the proposed LR-MMW filter attained better PSNR and Structural Similarity (SSIM) than the existing filters. The results obtained from the experiments show that the proposed LR-MMW filter achieved better performance and provides a higher PSNR value of 31.65dB whereas the Filter-Net and 1D,2D CNN filter achieved PSNR values of 28.95dB and 31.63dB respectively.
Dnyaneshwar Vitthal Sahane, Pravin M Ghate, and Ajay N Paithane
IOP Publishing
Abstract Automation plays an important role in event welding domain. This paper describes the problems associated with arc tungsten inert gas (TIG) welding for automated welding in oil and gas industry for pipe joints. Welding joints inside the offshore pipelines is a complex process and rework or repetitive work is very costly. Weld imperfections are the foremost anxiety in the pipe joint welding. Return out the entire weld machine to find the defect at the time of welding. This is one of the popular industry come with the problem statement to develop the application specific solution for inner pipe welding quality welding. However, this paper gives the solution. Moreover, factors like Joint crack, moisture, corrugated weld object, excessive gas flow, Lack of fusion in the root, Dirty base or filler metal are major problems in the welding process. Due to these issues weld quality is impacted. There are several problem areas in the existing welding control system i.e., poor topology selection, less efficiency, high power loss, more size, high cost, more maintenance, less effective control algorithm for welding control etc Due to all these factors the welding quality is hampered in traditional welding system. Many researchers have worked on the power electronics hardware section improvement but very less work done on the software section. This paper discusses on the software algorithm development and how the weld quality improved. Software welding algorithm development is the novelty of this paper. This paper proposed and developed low-cost welding machine controller using STM32F103 microcontroller with protection scheme. A welding algorithm is proposed and experimented to enhance arc TIG welding quality and automation. Welding algorithm is tested & practically verified using phase-shifted full bridge (PSFB) power converter topology with pulse width modulation (PWM) control technology. The results reveal that the proposed algorithm significantly improves the quality of automated welding.
Pravin M. Ghate and Suresh D. Shirbahadurkar
Springer Singapore
The objective of speech synthesis is to convert text into speech, using the syllable got best the results in term quality speech. Speech processing plays important role in human–machine interaction. Syllable segmentation is done using the different parameters like cutoff frequency, amplitude, the magnitude of speech input signal. The proposed paper suggests a method of syllable segmentation; it converts the syllable representation to modified syllable waveform clips that can be combined together to produce as sound [1]. Syllables are a better choice for speech synthesis in Marathi language. We do manually identify, segment, and label syllable units from speech data for experiment purpose [2]. The concatenative speech synthesis methods provide highly understandable speech utterance.
Pravin M Ghate and S. D. Shirbhadurkar
IEEE
This paper presents approach to concatenation of syllable like units to produce speech output from the text input. In the development of a speech synthesis system, unit selection and concatenation is an important stage. The main goal of the talk is to increase cooperation between the speech coding community and the TTS community, and in particular to motivate the need for speech coding algorithms that meet the requirements of the next generation speech synthesis technology. Here, a threshold point of amplitude is used for concatenation of two words while synthesizing the whole sentence.
Ganesh C. Patil, Santosh C. Wagaj, and Pravin M. Ghate
IEEE
Recently, significant work has been carried out to develop a technology based on 4H-SiC semiconductors aimed to utilize the unique physical and electrical properties of this material to achieve improved performance in high-power and high-temperature electronic circuits. This work is an effort to develop an analytical model for the 4H-SiC based n-channel enhancement mode MOSFET (NMOS). Here, a simple SPICE level-1 model of Si MOSFET has been modified to express the I-V characteristics of 4H-SiC MOSFET at the temperature ranging from 250 to 4000 °C. The model has been developed by using the verilog-AMS coding in which the thermal effects on intrinsic carrier density, band-gap, channel mobility and the threshold voltage have been incorporated. The performance of a differential amplifier based on this model has also been evaluated. It has been found that, in comparison to Si NMOS differential amplifier, the amplifier based on 4H-SiC MOSFET is more thermally stable. This clearly shows the suitability of the 4H-SiC MOSFET for harsh environment electronic circuits where Si MOSFET can not with stand.
P. M. Ghate, Shraddha Chadha, Aparna Sundar, and Ankita Kambale
Springer India
The proposed work provides a description of an Automatic Speaker Recognition System (ASR). It particularly documents all the stages involved in the proposed ASR system starting from the preprocessing stage to the decision making stage. The main aim of this work is to achieve a system with high robustness and user friendly. Voice samples from three different users are used as acoustic material. Feature extraction is done by computing Mel Frequency Cepstral Coefficients (MFCC) which is used to create reference template. For the purpose of feature matching, Dynamic Time Warping (DTW) algorithm is used wherein DTW distance is computed between the test signal and the reference signal. Decision is made by comparing the distance with a predefined threshold value.
RECENT SCHOLAR PUBLICATIONS
MOST CITED SCHOLAR PUBLICATIONS
RESEARCH OUTPUTS (PATENTS, SOFTWARE, PUBLICATIONS, PRODUCTS)
Patent
Industry, Institute, or Organisation Collaboration
SSGR Pvt Ltd
INDUSTRY EXPERIENCE
Two year