Papers by pramod kanjalkar
International Journal on Recent and Innovation Trends in Computing and Communication, Dec 12, 2022
There are roughly 4000 AYUSH hospitals spread out across India under various councils and hospita... more There are roughly 4000 AYUSH hospitals spread out across India under various councils and hospitals run by the Indian government. Today's atmosphere makes it more challenging than ever to locate a suitable AYUSH facility for the treatment. The AYUSH Ministry provides India's top option for healthcare delivery. The government is examining strategies to lower expenditures while enhancing patient care. We are proposing the ground-breaking idea of e-healthcare which involves various novel features like suggesting various tools to the patients those need to communicate with the healthcare professionals as per their convenience remotely. This research suggests an interactive system using Android in line with this trend. By integrating different bio-medical data sources that contain information pertinent to the hospital demographics, their inpatient procedure rates, Outpatient department, etc., we proposed a system that surveys on the various AYUSH hospitals to find. This system uses the Google Map API for tracking and highlighting the location to the nearby AYUSH hospitals with opening and closing timings. Additionally, the proposed system plays a crucial role in emergency scenarios by supporting the user in performing the necessary first aid techniques. Using this strategy, the entire system demonstrates that this research provides a superior method for making decisions than past studies.
International Journal on Recent and Innovation Trends in Computing and Communication, Dec 12, 2022
Compressive Sensing Scheme for image reconstruction presented in this paper is depending on a com... more Compressive Sensing Scheme for image reconstruction presented in this paper is depending on a combination of Orthogonal Matching Search and a 13/19 triplet half band filter bank (THFB) which is resulting from 1/2-band polynomial. Here, the consideration is made for 13/19 triplet half band wavelet filter sets. The half-band polynomial is applied which is generalized and used to receive the required frequency response. The image reconstruction is done later based on this. The designed triplet wavelet filters give a sparse image which is used for the input image. Gaussian probability density function and the Orthogonal Matching Pursuit (OMP) are presented for reconstructing the image. The results and observations demonstrate that the compressive sensing by using OMP and designed wavelet filters offers good result for performance as compared to the existing wavelet filters.
Computer Vision Based Weed Removal System using Object Detection based on Convolutional Neural Network
YMER Digital
Agriculture is one of the oldest and certainly most important professions in history of humankind... more Agriculture is one of the oldest and certainly most important professions in history of humankind. Agriculture itself is embedded deep within our foundation of country. Due to ever growing demand and growth of technology, it is possible to help farmers to boost their production via some means of current technology that is may be via robotics. Weeding and harvesting in particular area due to large land side requires repetition of monotonous task. It does not help in resulting much efficiently for weeding i.e. (using excessive herbicide and margin for human error). There is also a lack of manpower noticeable in agriculture sector. To detect and remove weed from other crops is essential task for the farmers. Hence, the aim of the proposed system is to detect weed from the other crops in the images captured by digital camera. This system uses an object detection technique by Convolutional Neural Network. The proposed system is very helpful in agriculture area
We present image focus measure which is based on wavelet transform of the image. A wavelet based ... more We present image focus measure which is based on wavelet transform of the image. A wavelet based method is proposed to estimate the blur in an image using information contained in the image itself. This image degradation obscures part of the information present in the image. The goal of image restoration, is to recover this information as good as possible. In this paper we propose a robust technique for image focus measure based on discrete wavelet transform (DWT). We suggest the absolute sum of the second-level detailed image of DWT as focus measure. We analysed this measure is monotonic with respect to the degree of defocusation. We experimentally illustrate its performance on simulated as well as real data and compare it with existing focus measures(gray-level variance and energy of Laplacian).
Development of Sensor Node to Measure Soil Moisture
Communications in Computer and Information Science, 2012
The Soil moisture is a vital parameter which decides the quality of a crop. A sensor node prototy... more The Soil moisture is a vital parameter which decides the quality of a crop. A sensor node prototype is developed to measure soil moisture, analyse it and transmit it over long distance for further processing. Sensor node is a combination of a sensor, signal conditioning circuit, controller and communication module. A low power processor ARM7 is used as a controller. It periodically scans the clock and depending upon the time set by the user the sensor data is checked and accordingly process is carried out. As crops are watered only upon requirement, over and under irrigation is avoided which saves power and water resources. The sensor data is communicated by using RF transmitter (433MHz) to a receiver or base station for logging and display. The hardware architecture is designed to establish the link between a sensor and a controller. The long-time smooth and proper running of the system in the field proved its high reliability and practicability. As an explorative wireless sensor network in irrigation management, this paper gives a methodology to establish large-scale remote intelligent irrigation system.
Comparative Study of Different Adaptive Control Strategies in Noise Cancellation Applications
2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA), 2020
In this paper, the system identification and noise cancellation has been done and further the ada... more In this paper, the system identification and noise cancellation has been done and further the adaptive control algorithms like LMS(Least mean square),NLMS(normalized least mean square),NLMF(normalized least mean forth) and RLS(recursive least square) filters are compared. System identification identifies an unknown system given an input and output. It is used in active vibration and noise control applications. The LMS algorithm has lowest computations involved than all other ones. RLS is a computationally complex filter algorithm but it works more efficiently. In all of these filter algorithms, the weight coefficient is continuously updated until the convergence is reached. These algorithms are implemented and are compared by using parameters such as MSE (mean square error), PSNR (peak signal to noise ratio), convergence, complexity and accuracy.
Despeckling of medical OCT image with wavelet based modified dual fold technique
2017 International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT), 2017
Optical coherence tomography is newly developed highly progressing microscopic high resolution bi... more Optical coherence tomography is newly developed highly progressing microscopic high resolution biomedical imaging technique. The only major issue is speckle noise one of the highly responsible factor for degradation of the OCT image quality. To despeckle this noise there have been many techniques till now in wavelet domain. We have proposed a wavelet based modified dual fold denoising technique which outperforms than traditional Visu Shrink technique. The dual fold technique is combination of two methods first block based thresholding and second is wavelet fusion of image. Fusion restores the edges which were degraded in first fold. Experimentation performed on original OCT images and results in terms of PSNR (peak signal to noise ration), SSIM (Structural similarity index measurement) and EBCM (Edge based contrast measurement) have been calculated and compared with traditional ones.
Wavelet is a powerful tool for signal coding especially bio-signal processing. Wavelet transform ... more Wavelet is a powerful tool for signal coding especially bio-signal processing. Wavelet transform is used to represent the signal in time-frequency representation which is better suited for detecting and removing redundancies. A algorithm for wavelet based ECG signal compression is presented in this paper. Discrete Wavelet Transform (DWT) where db7 is selected as the mother wavelet for analysis as it is found to be most similar to the morphology of QRS complexes. Thresholded wavelet coefficients are coded with RLC. In here, we use RLC algorithm, because of it's good performance on compression. One of the main advantages of this method is lower calculation complexity in comparison with other methods. This algorithm is tested for different records from MIT-BIH arrhythmia database. A compression ratio of 74.77% is achieved for MIT-BIH arrhythmia database record 117 with a percent mean square difference as 0.27%.
Identification of lightning electric field using HHT and time domain approach
Atmospheric electricity affects human life and his technological systems in a lot of ways. Our re... more Atmospheric electricity affects human life and his technological systems in a lot of ways. Our requirements to evaluate these technological and impacts on environment require an excelling understanding of electrical processes in the atmosphere. Hence more research is required to figure out nature's electric and magnetic behavior and its changeability to forecast its future transformation. Lightning is a proof that our environment is permanently electrified. However electric fields due to lightnings are not easy to detect due to various turbulences and interferences in the atmosphere. This results into false alarms or sometimes lightning event may be missed. In this paper a trial is made to identify lightning e-fields using waveform parameters in time domain along with HHT filtering. For example, lightning electric field signal mixed with some random noise signal won't show typical waveform parameters. Using HHT, signal components can be filtered. Filtered signal shows simila...
Compressive Sensing approach for data recovery from incomplete measurements for one dimensional signal
In various situations there is a need to measure and transmit fast moving data such as in Radar, ... more In various situations there is a need to measure and transmit fast moving data such as in Radar, Oceanography, Continuous Monitoring of Meteorological Parameters, etc. It may sometimes happen that some data gets lost. So to recover this information complete original data is to be resent. In this paper, we have discussed a new type of signal acquisition theory called as Compressive Sensing (CS). Signals having Sparse representation in one or the other domain can be faithfully reconstructed from the random undersampled measurements. Naturally occurring signals such as audio signals are having sparse nature in Fourier Domain. One such implementation of CS theory is also explained and demonstrated. Greedy Algorithm known as Orthogonal Matching Pursuit is used in recovery process.
Image reconstruction based on combination of modified CoSaMP and orthogonal wavelets
Compressive sensing is a signal processing technique for efficiently acquiring and reconstructing... more Compressive sensing is a signal processing technique for efficiently acquiring and reconstructing the signals by finding solutions to underdetermined linear systems. Non-linear optimization algorithms are used to solve underdetermined linear system. Greedy algorithms are widely used due to their low complexity than that of non-linear optimization algorithms. The problem with the Greedy algorithms is that some algorithms reduces reconstruction time but quality of reconstruction is affected while some require more reconstruction time with high quality of reconstruction. This is serious issue for the large size images. In this paper we have worked on CoSaMP algorithm and by modifying it we have reduced reconstruction time to reconstruct the sparse image with high quality of reconstruction which solves the above mention problem. Experimentation is performed on Modified CoSaMP using orthogonal filters like db4, Haar and coif3 for different size of the images and results in terms of PSNR ...
Optimization for P&ID Development: The Time Efficient Approach
This Piping and Instrumentation Diagram (P&ID) standardization in process industry makes a lot of... more This Piping and Instrumentation Diagram (P&ID) standardization in process industry makes a lot of sense. P&ID is a kind of control document. Many projects of similar kind are executed over time with some project specific changes. For such a project, designing fresh P&ID or editing old P&ID does take huge time. The mistakes in old versions are carried forward in next project as well. Instead of preparing new P&ID from scratch or editing previous projects P&ID, we standardize it. Standardizing is not only referring standard philosophy but also minimizing development hours to reduce time to market. Our method proves to be time efficient as well as fewer howlers. Onetime efforts can save many man hours. In this paper Instrumentation and other equipment option for an application are prepared in AutoCAD. Document thus prepared can be very much helpful while bidding also. As P&ID is the document of high importance in initial phase of project, if it could be completed in very short time the...
Biomedical images such as endoscopic images, retina, MRI, X-ray play an important role in the ana... more Biomedical images such as endoscopic images, retina, MRI, X-ray play an important role in the analysis and diagnosis of the internal body structure. Endoscopic image is used during pregnancy, plastic surgery, orthopedic surgery, spinal surgery, etc., to examine internal body structure. Endoscopic images are corrupted with various types of noises. The noisy image results into inaccurate diagnosis, and thus, the endoscopic image denoising is essential. In this paper, a method known as blind denoising has been used to improve the visual quality of the images. In the proposed method, we first estimate the noise level in the image obtained. Now having known the noise level, we apply BM3D algorithm to denoise the endoscopic image. By the proposed method, it is found that the PSNR of the test image is improved. The enhanced image will help the doctors for accurate diagnosis.
Development and Validation of Engine Start/Stop Strategy for P2 Hybrid Electric Vehicle
Inventive Computation Technologies
Vibration Signal Analysis Using MRA (Multi Resolution Analysis) Approach
2011 International Conference on Process Automation Control and Computing, Jul 1, 2011
The comparison of different transform based methods for ECG data compression
2011 International Conference on Signal Processing, Communication, Computing and Networking Technologies, 2011
E lectrocardiogram (ECG) is widely us ed in the diagnosis and treatment of cardiac disease. Large... more E lectrocardiogram (ECG) is widely us ed in the diagnosis and treatment of cardiac disease. Large amount of signal data needs to be stored and transmitted. So, it is necessary to compress the ECG signal data in an efficient way. In the past decades, many ECG compression methods have been proposed and these methods can be roughly classified into three
Failsafe wireless sensor network using cooperative communication
2014 International Conference on Advances in Electrical Engineering (ICAEE), 2014
Blur estimation using polynomial curve fitting algorithm for image restoration using blind deconvolution
2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT), 2013
ABSTRACT
Blur estimation using polynomial curve fitting algorithm for image restoration using blind deconvolution
ABSTRACT
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Papers by pramod kanjalkar