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Human heart disease prediction system using data mining techniques
Nowadays, health disease are increasing day by day due to life style, hereditary. Especially, heart disease has become more common these days, i.e. life of people is at risk. Each individual has different values for Blood pressure, cholesterol and pulse rate. But according to medically proven results the normal values of Blood pressure is 120/90, cholesterol is and pulse rate is 72. This paper gives the survey about different classification techniques used for predicting the risk level of each person based on age, gender, Blood pressure, cholesterol, pulse rate. The patient risk level is classified using datamining classification techniques such as Nae Bayes, KNN, Decision Tree Algorithm, Neural Network. etc., Accuracy of the risk level is high when using more number of attributes. 2016 IEEE. -
Gender Identification of Silkworm Pupa and Automated Cocoon Cutting Machine for Benefiting the Sericulture Grainages in Karnataka
Sericulture is the backbone of a mediocre farmer family in India. Sericulture provides a major financial support to the farmers with minimum infrastructure and maintenance. Farmers collect the seed cocoons from the grainages also known as seed factories. Grainages produce high quality seeds by mating the male and female cocoons. There is a huge demand of labor in these seed factories to process cocoons. The process includes deflossing, removal of pupa from the cocoon, gender identification, mating, storage of seeds, dispersal of eggs to farmers. Removal of pupa from the cocoon requires the labor to cut open a small portion of the cocoon and remove the pupa from inside. Presently in India, most of the grainages induce female laborers to perform the above job. Pupa is removed from the cocoon by cutting the cocoon using a stainless-steel blade. Each labour is given certain amount of cocoons to cut in a day. This requirement would force the laborers to perform the job at a higher speed which poses a threat of getting wounded by the blade. Hence the process of removal of pupa from the cocoon and sex identification of pupa to be automated. Thereby it is important to automate the possible processes in the grainages which could reduce human intervention and increase productivity. Bivoltaine hybrid race of silkworm namely FC1 and FC2 are the varieties under consideration for the research. Theses silkworm varieties are majorly used in grainages for seed production and hence the proposed machine was introduced. This semi automated cocoon cutting machine identifies the gender of the cocoon and later cut the required amount of cocoons minimally. This process would help in maintaining the maximum reliability of silk thread. Thereby the silkworm gender identification has to be non destructive. Image classification were done using Convolution Neural Network (CNN), Visual Geometry Group 16 (VGG16) and Efficient net methods, among which the latter produced highest accuracy. The Efficient Net method has produced the validation accuracy of 98.99% for FC1 and 99.9 for FC2 variety. An automated cocoon cutting machine was developed to cut open the cocoons at a high speed. It is important to automate the possible processes in the grainages which could reduce human intervention and increase productivity. This paper focuses on automating the gender identification and removal of the pupa from the cocoon. 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG. -
A GPS-Gradient Mapped Database-Based Fuzzy Energy Management System for a SeriesParallel Hybrid Electric Vehicle
The Energy Management System developed for the hybrid electric vehicle operates using a database with GPS co-ordinates and corresponding altitudes mapped, thereby giving a predictive control to optimize the operation of the seriesparallel hybrid system. The system aims at extracting the maximum potential of the seriesparallel hybrid power train architecture. The mapping of the latitude and longitude obtained from a global positioning system (GPS) to the altitude measured to create a database which generates a predefined driving cycle prior to the actual motion of the vehicle. The created database is then used in a MATLAB/Simulink model to simulate the operation of the seriesparallel hybrid system and implement the Energy Management System. The validated data is then tested in a Raspberry Pi (RPi)-based prototype. The Energy Management System regulates the vehicle dynamics based on the input drive cycle. The fuzzy logic-based control mechanism is implemented in the RPi to optimize the load sharing between the IC engine and the brushless DC motor. 2020, Springer Nature Singapore Pte Ltd. -
Intensifying the social performance and sustainability of microfinance institutions to address the social challenge of sanitation: An Indian case study
The microfinance model has helped to address the world's social challenges to some extent. Sanitation is one of the world's social challenges and microfinance can be used as an intervention tool to address this. Worldwide 1.04 billion people still practise open defecation, accounting for 15 per cent of the world population, and of which 594 million are Indians. To address this sanitation problem, Bharathi Women Development Centre (Bharathi), a Tamil Nadu-based non-government organization, used its microfinance programme and group network to educate about the need for toilets, and provided the resources and technical know - how to construct latrines in individual households. So far they have successfully constructed 14,609 toilets by providing microcredit and have experienced no difficulties in repayments of loans, by which it is proved to be a sustainable programme. Bharathi has faced many challenges while implementing this project, such as raising debt fund for on-lending to its sanitation portfolio; shifting the culture of open defecation after construction of toilets, especially with male members of the family; establishing a technical know - how workforce to construct the toilets in rural areas; helping the poorest of the poor to not be burdened by the sanitation loan because of its non-income generating nature; and maintaining the low-cost construction of toilets. This study illustrates how a relatively small NGO microfinance institution was able to create a niche market and implement a sustainable sanitation programme along with its routine microfinance programme by providing awareness, technical assistance, and credit to construct toilets. Practical Action Publishing, 2015. -
Social performance and sustainability of Indian microfinance institutions: an interrogation
This paper has come forward from the research proposal to understand the effect of social performance on the sustainability of microfinance institutions. It has been revealed that the conventional method of assessment of financial institutions is not applicable to the microfinance sector. Performance measurement of microfinance institutions has to be different from that of other financial institutions because of the social aspects involved besides profitability. Social performance has now become part of microfinance business along with business sustainability. Our whole study course is entitled Effect of social performance on the sustainability of microfinance institutions. In this paper, we elucidate the topic, find the underrepresented research areas and formulate a research hypothesis for understanding the relationship between social performance and the sustainability of microfinance institutions. 2016, 2016 Informa UK Limited, trading as Taylor & Francis Group. -
Microfinance Sector and the Supportive Role of Regulator in its Transformation: A Case Study from India
Microfinance is a proven business model to deliver financial services to unbanked. In the beginning years of microfinance, Non-Governmental Organizations (NGOs) were engaged in microfinance initiative and used to raise capital through grants for their microfinance program, similar to other grant-based development initiatives. To become self-sustainable financial institutions, NGOs started to transform their microfinance initiatives to a for-profit legal entity. Microfinance experienced commercialization in the process of transformation which neglected the basics of microfinance, especially in protecting the interest of clients. Supportive role of regulator transformed the Indian microfinance sectors and formed sustainable financial institutions. The successful story of Reserve Bank of Indias (RBI) intervention in shaping Indian microfinance sector counters the argument of free market principle in fixing the interest rate and healthy regulation for microfinance institutions. Supportive role of Reserve Bank of India created win-win situation for both microfinance borrowers, microfinance institutions and other stakeholders for the long-term sustainability. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021. -
Bridging the Digital Chasm: A Comprehensive Analysis of the Digital Divide in Shaping Healthcare Professionals
Industry 5.0 has ushered in a transformative era for the healthcare industry, propelling it towards a digitally empowered ecosystem. This paradigm shift underscores the indispensability of integrating advanced digital technologies into healthcare, not merely as an option but as a crucial necessity. This research delves into the profound impact of Industry 5.0 on healthcare, emphasizing the intersection of digital technologies, patient-centric care, and sustainable practices. Central to the investigation is the digital divide, which manifests as a catalytic intrusion into the healthcare sector's digital landscape. Regardless of demographic considerations among healthcare providers, the existing digital divide manifests in varying levels of access, skill, and offline outcomes and benefits. Our study meticulously explores the intricate dynamics of the digital divide within healthcare professionals, highlighting its influence on micro-level patient experience. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
The Women Leadership: A Catalytic Role of Digital Divide Through Digital Ecosystem
The digitalization of the macro environment of an organization and digital upskilling and digital capital formation in the micro level of human capital paves women an opportunity to ladder up in the organization in various job roles leading to women leadership. The sociodemographic, psychological, socioeconomic, and cultural factors to the digital divide predominantly determine digital capital formation. Every attempt of women to surpass the digital divide obstacle to digital capital formation enables women capital to leadership characteristics. The study proposes a conceptual framework by extricating the past scholarly works on digital divide, digital capital, technology leadership, and women leadership. The preferences and choices of women leading to leadership skills through technology by encapsulating digital capital formation are meritorious in the research inquiry. The individual factors and organization factors are taken to the moderating variables in the association of digital capital to the women leadership. The study finds the need of ICT and digital upskilling among the women professionals in industry and catalytic role of digital capital formation by surpassing the digital divide. The empirical study on the concept formulation is highly recommendable for the future study. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. -
EdTech tools for sustainable practices: A green revolution in education
The rapid advancement of Education Technology (EdTech) offers promising opportunities for educational institutions to integrate sustainable business practices into their operations and curriculum. The integration of EdTech into sustainability education has emerged as a powerful tool to promote environmental awareness, foster sustainable behavior, and address the pressing challenges of climate change and resource depletion. This chapter explores the growing significance of EdTech in sustainability education, analyzing its potential to cultivate a generation of environmentally conscious and responsible global citizens. It also aims at identifying and examining the most prominent emerging EdTech tools specifically designed to promote sustainability in educational settings. Furthermore, it aims to comprehend the institutional elements that have successfully incorporated and expanded the utilization of EdTech tools to promote enduring business practices. Additionally, the chapter addresses the challenges and obstacles faced by educational institutions in adopting and implementing these technologies and propose strategies to overcome these barriers. 2024 Allam Hamdan. All rights reserved. -
Redefining Organizational Sustainability Through Revamping Digital Capital
[No abstract available] -
Neuro-Systemic applications in learning
Neuroscience research deals with the physiology, biochemistry, anatomy and molecular biology of neurons and neural circuits and especially their association with behavior and learning. Of late, neuroscience research is playing a pivotal role in industry, science writing, government program management, science advocacy, and education. In the process of learning as experiencing knowledge, the human brain plays a vital role as the central governing system to map the images of learning in the human brain which may be called educational neuroscience. It provides means to develop a common language and bridge the gulf between educators, psychologists and neuroscientists. The emerging field of educational neuroscience presents opportunities as well as challenges for education, especially when it comes to assess the learning disorders and learning intentions of the students. The most effective learning involves recruiting multiple regions of the brain for the learning task. These regions are associated with such functions as memory, the various senses, volitional control, and higher levels of cognitive functioning. By considering biological factors, research has advanced the understanding of specific learning difficulties, such as dyslexia and dyscalculia. Likewise, neuroscience is uncovering why certain types of learning are more rewarding than others. Of late, a lot of research has gone in the field of neural networks and deep learning. It is worthwhile to consider these research areas in investigating the interplay between the human brain and human formal/natural learning. This book is intended to bring together the recent advances in neuroscience research and their influence on the evolving learning systems with special emphasis on the evolution of a learner-centric framework in outcome based education by taking into cognizance the learning abilities and intentions of the learners. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021. All rights reserved. -
Impact of 3D printed components and ventilators on COVID-19
The disease caused by a virus known as the novel Coronavirus, also known as "COVID-19" by the public, was classified as a major epidemic by the World Health Organisation in 2019. Each country across the globe is affected by COVID-19. While writing this, over 150 million people were affected by the fast-spreading deadly pandemic, and over 3.5 million deaths due to COVID-19 were reported worldwide as per WHO's official COVID-19 dash panel-https://covid19.who.int/Economy and social life of no territory on earth was left unaffected by the COVID-19. Now vaccines are ready, it may take a reasonable amount of time to complete the vaccination process. One major challenge was the need for more support equipment like Beds, Oxygen Cylinders, and Ventilators. Improvisation in the mass production of many critical components, especially those supporting 3D printing technology, has shown some well-managed results in handling the shortage of many critical components. This chapter examines and describes how 3D printing technologies were used during the dangerous pandemic. It aims to describe many 3D-printed devices like face masks, face shields, various valves, etc. It also makes an effort to point out the dominant drawbacks of additive manufacturing technology in this area and examines the options for a future pandemic. 2023 Bentham Science Publishers. All rights reserved. -
Deep Learning-based Gender Recognition Using Fusion of Texture Features from Gait Silhouettes
The gait of a person is the manner in which he or she walks. The human gait can be considered as a useful behavioral type of biometric that could be utilized for identifying people. Gait can also be used to identify a persons gender and age group. Recent breakthroughs in image processing and artificial intelligence have made it feasible to extract data from photographs and videos for various classifying purposes. Gender can be regarded as soft biometric that could be useful in video captured using surveillance cameras, particularly in uncontrolled environments with erratic placements. Gender recognition in security, particularly in surveillance systems, is becoming increasingly popular. Popularly used deep learning algorithms for images, convolutional neural networks, have proven to be a good mechanism for gender recognition. Still, there are drawbacks to convolutional neural network approaches, like a very complex network model, comparatively larger training time and highly expensive in computational resources, meager convergence quickness, overfitting of the network, and accuracy that may need improvement. As a result, this paper proposes a texture-based deep learning-based gender recognition system. The gait energy image, that is created by adding silhouettes received from a portion of the video which portrays an entire gait cycle, can be the most often utilized feature in gait-based categorization. More texture features, such as histogram of oriented gradient (HOG) and entropy for gender identification, have been examined in the proposed work. The accuracy of gender classification using whole body image, upper body image, and lower body image is compared in this research. Combining texture features is more accurate than looking at each texture feature separately, according to studies. Furthermore, full body gait images are more precise than partial body gait images. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
A Pilot Study of the DREAMS Program: A Community Collaborative Intervention for the Psychosocial Development of Middle School Students
The purpose of this study was to pilot the DREAMS (Desire, Readiness, Empowerment, Action, and Mastery for Success) program, a community-collaborative, after-school intervention program designed specifically to address the holistic developmental needs of students at school. The author originally developed and implemented the program in Kerala, India, and later redesigned it for American school students. Combining the theories of Vygotsky and Erikson, the DREAMS model emphasizes the impact of the community on the development of children. This study evaluates the effects of a summer camp, the primary intervention of a three-year program, on the self-worth, self-esteem, and self-concept of 20 middle school students in Northeast Louisiana. After students attended the week-long program, the most significant improvements were observed in self-esteem and self-worth. Further longitudinal or comparative experimental research on the complete design would provide stronger evidence to draw more substantive conclusions. (2024), (California State University). All rights reserved. -
University-Community Collaboration for A Sustainable School-Based Program for The Holistic Education and Wellness of Adolescents
Adolescents have been particularly affected by the COVID-19 pandemic and the closure of schools that are already struggling to carry out their mission of quality education and holistic well-being of students. Research suggests that community-collaborative schools are improving students' academic engagement and reducing learning barriers. When communities and universities are involved in holistic education, it benefits all the stakeholders by enhancing mutual learning and strengthening both. Community members' involvement for student development encourages students and their families to be more involved in community-service initiatives. The paper reports DREAMS, a multi-stakeholder partnership (schools, universities and communities) after-school mentoring model's sustainability. The study identifies and delineates how the model has incorporated the Sustainable Development Goals (SDGs) calling for Good Health and Well-being (SDG-3), Quality Education (SDG-4), Sustainable Cities and Communities (SDG-11) through Partnerships to Achieve its Goals (SDG-17) and proposes it as a sustainable afterschool plan for the post COVID scenario. The Electrochemical Society -
LET US DREAMS MIGRATION TO A GLOBAL VIRTUAL CONFERENCE: DELIVERING A SOCIAL ENTREPRENEURIAL EVENT
This case study applies Rudolph et al.s social entrepreneurship model to describe the migration of Let Us Dreams (LUD) face-to-face social entrepreneurial conference to a virtual platform during the COVID-19 pandemic. LUD Triennial International Conference focused on community service initiatives in the areas of education, health, and social services for the purpose of impacting local and international communities in a transformative way. Organizers experienced many positive outcomes (e.g., high attendance and participant satisfaction), human capital, and leadership development of its collaborative volunteer planning teams, and the empowerment of local and global communities. The discussion section elaborates on the social entrepreneurship model findings, and other lessons learned, and provides recommendations for others planning to deliver a virtual or hybrid conference in multicultural contexts. 2024 Cognizant, LLC. -
Waste Management: Learning and Challenges from a Case Study of a University Model in India
Christ University (CU) has implemented an integral and sustainable waste-management system for better environmental impacts on its five campuses in India. The university has well established zero-waste campaigns. The waste-management model is introduced at CU campuses with multiple purposes: 1) for a cleaner environment on the campus, 2) to create an educational impact on students on waste management, 3) to initiate a movement towards a zero-waste society in India and 4) to employ people living around its campuses. The Christ University waste-management model is done through three different segments/wings: 1) solid waste management, 2) wet waste management and 3) wastewater management. The amount of waste recycled for each year is measured, and the processes are documented. The model is a replicable, sustainable and socially impactful model for managing waste on university campuses for more significant societal impacts. 2024 CRC Press. -
DREAMS After-School Programme for the Holistic Development of Children Amid Covid-19
After-school programmes (ASPs) help to facilitate students learning. DREAMS ASP facilitates schoolchildren with holistic development interventions at different locations. Due to the pandemic, DREAMS conducted their ASP in the online mode. The present study aims to narrate the case of ASP in the virtual mode and discuss participants experiences on holistic development at one of its locations. The study employed qualitative study designs. The sample of the study included participants from DREAMS ASP site at Kerala, India. The study interviewed four mentors, seven participants, and their parents to understand participants holistic development. However, the study excluded physical and spiritual aspects of holistic development. It found that the virtual DREAMS ASP was joyful, and there was a significant, positive change in all the selected dimensions of holistic development as reported by mentors, children, and parents. The study encourages future researchers to provide opportunities and frameworks to conduct more ASPs in India. 2022 IGI Global. All rights reserved. -
Kho Kho Model: A Novel Technique for Efficient Handoff in Vehicular Ad-hoc Networks
The highly mobile nature of VANET implies that the nodes involved are constantly disconnecting and reconnecting as they switch between access points or move out of the range of their access points. In such scenarios, seamless connectivity is essential, especially when emergency services are involved. Handoff is a process in wireless communication that takes care of the switching process that happens between access points whenever a mobile device moves from one point to another. In a dynamic scenario involving vehicular nodes, this switching needs to take place between a mobile node or a fixed access point (known as RSUs), as quickly as possible. To this end, this research work proposes a novel handoff method known as the Kho Kho Model - which is loosely based on the traditional Indian sport of the same name. The model groups together nodes that are moving in the same direction, thereby effectively reducing the amount of processing required to perform handoff for a set of nodes. The use of ANN have helped to improve handoff since it can help in making decisions quickly by making use of multiple parameters including signal strength, noise, direction, and others. To improve the efficiency of the proposed handoff model, RBFNN has been used in this research. The proposed model was implemented using NS-3 simulator. The results have shown that the proposed method has a slightly better improvement in the overall NRO, a reduced average delay and reduced jitter compared to the existing handoff method employed by the IEEE 802.11p standard. 2023 IEEE.