Varsha H. Patil

Bio: Varsha H. Patil is an academic researcher from Savitribai Phule Pune University. The author has contributed to research in topics: Multi-swarm optimization & Particle swarm optimization. The author has an hindex of 9, co-authored 38 publications receiving 294 citations. Previous affiliations of Varsha H. Patil include Indian Institute of Science Education and Research, Bhopal & K. K. Wagh Institute of Engineering Education & Research.

A Study of Vision based Human Motion Recognition and Analysis

Abstract: Vision based human motion recognition has fascinated many researchers due to its critical challenges and a variety of applications. The applications range from simple gesture recognition to complicated behaviour understanding in surveillance system. This leads to major development in the techniques related to human motion representation and recognition. This paper discusses applications, general framework of human motion recognition, and the details of each of its components. The paper emphasizes on human motion representation and the recognition methods along with their advantages and disadvantages. This study also discusses the selected literature, popular datasets, and concludes with the challenges in the domain along with a future direction. The human motion recognition domain has been active for more than two decades, and has provided a large amount of literature. A bird's eye view for new researchers in the domain is presented in the paper.

A Study of Vision based Human Motion Recognition and Analysis

Abstract: Vision based human motion recognition has fascinated many researchers due to its critical challenges and a variety of applications. The applications range from simple gesture recognition to complicated behaviour understanding in surveillance system. This leads to major development in the techniques related to human motion representation and recognition. This paper discusses applications, general framework of human motion recognition, and the details of each of its components. The paper emphasizes on human motion representation and the recognition methods along with their advantages and disadvantages. This study also discusses the selected literature, popular datasets, and concludes with the challenges in the domain along with a future direction. The human motion recognition domain has been active for more than two decades, and has provided a large amount of literature. A bird's eye view for new researchers in the domain is presented in the paper.

Color Image Compression Based On Wavelet Packet Best Tree

Abstract: In Image Compression, the researchers’ aim is to reduce the number of bits required to represent an image by removing the spatial and spectral redundancies. Recently discrete wavelet transform and wavelet packet has emerged as popular techniques for image compression. The wavelet transform is one of the major processing components of image compression. The result of the compression changes as per the basis and tap of the wavelet used. It is proposed that proper selection of mother wavelet on the basis of nature of images, improve the quality as well as compression ratio remarkably. We suggest the novel technique, which is based on wavelet packet best tree based on Threshold Entropy with enhanced run-length encoding. This method reduces the time complexity of wavelet packets decomposition as complete tree is not decomposed. Our algorithm selects the sub-bands, which include significant information based on threshold entropy. The enhanced run length encoding technique is suggested provides better results than RLE. The result when compared with JPEG-2000 proves to be better.

Selection of Mother Wavelet For Image Compression on Basis of Nature of Image

Abstract: Recently discrete wavelet transform and wavelet packet has emerged as popular techniques for image compression. The wavelet transform is one of the major processing components of image compression. The results of the compression change as per the basis and tap of the wavelet used. This paper compares compression performance of Daubechies, Biorthogonal, Coiflets and other wavelets along with results for different frequency images. Based on the result, it is proposed that proper selection of mother wavelet on the basis of nature of images, improve the quality as well as compression ratio remarkably. The prime objective is to select the proper mother wavelet during the transform phase to compress the color image. This paper includes the discussion on principles of image compression, image compression methodology, the basics of wavelet and orthogonal wavelet transforms, the selection of discrete wavelet transform with results and conclusion.

Multi-robot hunting based on Swarm Intelligence

Abstract: This paper reports studies carried out on a multi-robot system assigned with the task of hunting down a rogue element in its vicinity whose location is not known. Swarm Intelligence (SI) has been used in the studies for organizing the multi-robot coordinated strategy to capture/enclose the target/invader. MATLAB based simulation has been used to ascertain the Flexibility, Robustness and Self-organization capability of the SI based strategy.

Super-resolution: a comprehensive survey

Abstract: Super-resolution, the process of obtaining one or more high-resolution images from one or more low-resolution observations, has been a very attractive research topic over the last two decades. It has found practical applications in many real-world problems in different fields, from satellite and aerial imaging to medical image processing, to facial image analysis, text image analysis, sign and number plates reading, and biometrics recognition, to name a few. This has resulted in many research papers, each developing a new super-resolution algorithm for a specific purpose. The current comprehensive survey provides an overview of most of these published works by grouping them in a broad taxonomy. For each of the groups in the taxonomy, the basic concepts of the algorithms are first explained and then the paths through which each of these groups have evolved are given in detail, by mentioning the contributions of different authors to the basic concepts of each group. Furthermore, common issues in super-resolution algorithms, such as imaging models and registration algorithms, optimization of the cost functions employed, dealing with color information, improvement factors, assessment of super-resolution algorithms, and the most commonly employed databases are discussed.

The digital twin implementation for linking the virtual representation of human-based production tasks to their physical counterpart in the factory-floor

Abstract: Production systems empowered by digital simulation tools can be improved in a time and cost-effective approach. The enrichment of digital simulations with sensor data, can enhance their realism and...

A conceptual Lean Six Sigma framework for quality excellence in higher education institutions

Abstract: The purpose of this paper is to present the potent application of Lean Six Sigma (LSS) in higher education services and to suggest a conceptual framework of deploying LSS in the higher education institutions (HEIs).,This paper aims to outline the importance of the quality excellence criterion in general through different constructs from the literature including TQM, Lean, Six Sigma and LSS. The paper further expands on the applicability of LSS in the HEI setting, with an understanding of HEI as comparatively different from the manufacturing sector from where LSS originated. The published literature on LSS and authors’ experience in the field of LSS (as practitioners) were used as sources for devising a conceptual framework for LSS deployment in HEIs.,The key finding from the study is the confirmation of LSS applicability in HEIs. The study also confirms that LSS is not anyone’s job but a key part of leadership agenda. The six-staged conceptual framework prescribed for the HEIs as part of the paper is the key contribution of this study. The model describes that LSS readiness is the foremost step in the LSS deployment journey in HEIs. The strategic perspectives of aligning the organisational vision for quality excellence need to be achieved by establishing a need for LSS through leadership. Then, developing an LSS deployment strategy becomes the next step. Educating the appropriate stakeholders (students) and team formation becomes the next important steps in the LSS deployment. Once the above steps are implemented in right way, identifying and implementing LSS projects becomes critical. The execution and closure of the LSS projects leads to quality excellence in HEIs.,Since the framework prescribed here is a conceptual framework, it deserved a testing in the real-life context. This leaves an opportunity for future researchers to test and expand on the implications of the model. Though the LSS framework is customised for HEIs, the fundamental factors essential for any change management initiative holds correct for LSS as well, and hence these are not elaborated as part of this paper.,This paper would serve as an excellent resource for both academicians and LSS practitioners in HEIs, for deployment. The framework presented here is the original work contributed by the authors, as the first of its kind in the academic literature relevant to LSS in HEIs.

Constructs of quality in higher education services

Abstract: Purpose The purpose of this paper is to present various quality constructs, their application, success and shortcomings, in higher education (HE) services. Design/methodology/approach This paper aims at reviewing the quality constructs in higher education services through a general review. The paper is organised to highlight different quality practices which higher education institutions have followed from 1990s till date. The paper is scoped to discuss about total quality management (TQM), Kaizen, Six Sigma, Lean and Lean Six Sigma (LSS) comparing their value addition and shortcoming in imbibing quality into the higher education. Publications indexed in Scopus database are considered for the review. The focus of the search in the selected publications was to identify the success and shortcomings of various quality constructs in HE services. Findings The requirement for a quality construct in higher education industry is an important finding of the paper. Alongside this, the reasons behind the shortcoming of quality practices used in higher education system were highlighted. The findings include the opportunities for future research for imbibing quality culture in HE. Research limitations/implications The literature discussed in the part of the paper is restricted to TQM, Kaizen, Six Sigma, Lean and LSS. Though the usage of such quality practices in HE originated in 1990s, there is no one robust sustainable practice till date, which proved to be a pacesetter. This paper validates this assertion, which helps both academicians and practitioners with a new perspective. Originality/value This paper would serve as an excellent resource for both academicians and practitioners to understand the history of quality which contributed to the improvement in HE services, and how the quality excellence has evolved over the years. The paper concludes with a discussion on opportunities for future research to develop quality frameworks for HE services.