Browse Items (11809 total)
Sort by:
-
Social environment based on sentiments using globalized user review analysis /
Patent Number: 202141007727, Applicant: Dr.G Muneeswari.
A simple yet efficient model, called Globalized User Sentiment Analysis (GURA) by using the property that sentiment classification has two opposite class labels (i.e., positive and negative), we first propose a data expansion technique by creating sentiment toggled reviews. The original and switched reviews are constructed in a one-to-one correspondence. Thereafter, we enhance the dual training (DT) algorithm and a dual forecasting (DF) algorithm separately, to make use of the original and switched samples in pairs for training a statistical classifier and make predictions. -
Social environment based on sentiments using globalized user review analysis /
Patent Number: 202141007727, Applicant: Dr.G Muneeswari.
A simple yet efficient model, called Globalized User Sentiment Analysis (GURA) by using the property that sentiment classification has two opposite class labels (i.e., positive and negative), we first propose a data expansion technique by creating sentiment toggled reviews. The original and switched reviews are constructed in a one-to-one correspondence. Thereafter, we enhance the dual training (DT) algorithm and a dual forecasting (DF) algorithm separately, to make use of the original and switched samples in pairs for training a statistical classifier and make predictions. -
Social entrepreneurship on a crossroad: the case of Sunbird Straws
Learning outcomes: The learning objectives are intended to stimulate the students comprehension of the various challenges faced by Indian social entrepreneurs. The case study offers a rich educational experience spanning diverse fields, including business operations, entrepreneurship, sustainable products, social innovation and financial planning. The case study on social entrepreneurship will guide students to comprehend its concept, significance, challenges and understand how businesses can be a force for positive social impact. The case study serves as a valuable tool for graduate students, helping them improve their critical thinking and solution-focused skills in preparation for their future entrepreneurial endeavors. Students should be able to analyze the case study, answer questions and evaluate the co-founders business expansion dilemma. Case overview/synopsis: Social entrepreneurs are vital in tackling pressing societal issues, fostering innovation and creating lasting solutions for rural communities. However, their unique challenges often go unnoticed. This case study highlights the journey of Dr Saji Kurungatil Varghese, the co-founder of Sunbird Straws, an eco-friendly startup, and the complexities they faced while considering business expansion. The purpose of this case study is to provide insight into the world of social entrepreneurs and emphasize their importance and contribution on a wide scale. Complexity academic level: This case study is suitable for undergraduate and postgraduate students. Supplementary materials: Teaching notes are available for educators only. Subject code: CSS3: Entrepreneurship. 2025, Emerald Publishing Limited. -
Social entrepreneurial opportunity recognition among higher education students: scale development and validation
Purpose: This study aims to develop and validate a multidimensional scale to measure the motivating factors that lead to opportunity recognition in social entrepreneurship among higher education institute (HEI) students. Design/methodology/approach: The scale was developed through two phases; in phase 1, semi-structured interviews with social entrepreneurs and aspiring students were conducted to explore themes for item generation. Phase 2 included developing and validating the scale using exploratory (EFA) and confirmatory factor analysis (CFA). The sample included HEI students (n = 300 for EFA, n = 300 for CFA) with either academic background or volunteering experiences in social entrepreneurship. Findings: A 24-item scale is developed in the study, with six factors measuring the motivating factors influencing opportunity recognition in social entrepreneurship: life experiences, social awareness, social inclination, community development, institutional voids and natural option for a meaningful career. Research limitations/implications: The scale facilitates the development of theories and models in social entrepreneurship. The scale also enables policymakers and social entrepreneurship educators to understand the motivating factors that lead to opportunity recognition among students. It would help them to provide target-specific support to students. Originality/value: To the best of the authors knowledge, this study is the first attempt to develop a scale that measures opportunity recognition in social entrepreneurship based on specific motivating factors. The study used the model by Yitshaki and Kropp (2016) as the conceptual framework. This study is the first attempt to triangulate the models findings using a quantitative methodology and through the development of a measurement scale. Besides, the scale adds value to social entrepreneurship research, which lacks empirical research on HEI students. 2024, Emerald Publishing Limited. -
-
Social cognitive rehabilitation for neurodegenerative disorders
In this chapter, an initial exploration of the definition and symptoms of neurodegenerative disorders will be conducted along with an in-depth analysis of their underlying neurobiological basis, shedding light on their manifestation in the brain. The central focus will then shift towards comprehending and addressing the specific social cognitive deficits associated with different types of NDs and examining the challenges posed in the realm of social cognition. Strategies and interventions specifically designed for social cognitive rehabilitation will be investigated. The chapter will encompass a discussion on the caregiver burden and effective coping strategies to alleviate the stresses faced. The primary objective of this chapter is to provide readers with a comprehensive understanding of the intricate nature of social cognitive deficits in neurodegenerative disorders and equip them with practical tools aimed at enhancing social cognition and improving the quality of life for individuals affected by these complex conditions. 2024, IGI Global. -
Social cognition, person perception, and social categorisation as building blocks of the theory of mind
Day-to-day life presents us with numerous new experiences and exposure to different people, with social functioning being a major portion of one's living days. The theory of mind, a mental map of an individual in automating behaviour, is a process and product of one's social cognitions. There are evident changes across generations in terms of these cognitions and social processing, hence showing need for understanding the theory of mind of different generations, breaking it down into its component parts. The present study was conducted to understand the components of the theory of mind in relation to social functioning. Sixty-three participants across three different generations, Generation X, Millennials, and Generation Z, were subjected to focused group discussions and the collected data analysed using a grounded theory approach. The analysis identified five components of the theory of mind applicable to all generations: social perception, social judgment, people perception, people preference, and social categorisation. 2024, IGI Global. -
Social Characteristics and Its Relationship with Intent to Stay-with Reference to Financial Sectors
One of the challenging tasks of the HR management of the organization is to design the job in such a way that facilitates a good work culture/atmosphere for the employees to ensure their stay in the organization. The present study analyzed the role of social characteristics of the job with their intention to leave among the employees working in the finance sector. Primary data were collected from 250 employees working at all levels of management in the finance and banking sector in Indias southwest region through the Convenience sampling method. Morgeson and Humphrey (2006) developed the work design questionnaire which was adopted and used for data collection. Hierarchical multiple regression used for applied for data analysis. The results show that social characteristics cannot predict intent to stay. Also, age and gender do not have a significant role as mediating factors to social characteristics and intent to stay. 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG. -
Social capital in the form of self-help groups in India: a powerful resilient solution to reduce household financial vulnerability
Due to the COVID-19 pandemic and the economys general situation, many households are now financially vulnerable. It is like a vicious cycle: once a household is caught, it will remain in the trap until and unless it competently manages its finances. These problems experienced by households have drawn attention to social capital. Self-help groups (SHGs) originated in India to pull out low-income households from poverty and are now recognized as social capital, which can be defined as the action of a group cooperating to enhance all its members benefits. This article aims to explain how SHGs have contributed to reducing various factors or determinants of household financial vulnerability through a review of several other publications, theses, newspaper articles, and reports. It was discovered that SHGs now provide much more benefits than just alleviating poverty. They have helped to reduce bad loans or non-performing assets, reduced the dependence on informal sources of finance, made households more resilient toward crises such as COVID-19, and enabled households to save money and manage their finances accurately. Organizing themselves into SHGs is the only way for rural households to overcome financial difficulties. 2023 Taylor & Francis Group, LLC. -
Smell Technology: Advancements and Prospects in Digital Scent Technology and Fragrance Algorithms
Smell technology, a rapidly expanding sector of the scent business, aims to digitally replicate and transmit aromas. Its applications include virtual reality, e-commerce, and healthcare. Recent advances in the field include the creation of smell algorithms and the use of artificial intelligence to create more realistic fragrances. Fragrance algorithms are mathematical models that predict the scent of a fragrance based on its chemical composition. They might be used to the perfume industry to streamline the production of perfumes and do away with the need for expensive trial-and-error methods. Artificial intelligence is also being used to create digital representations of fragrances that closely resemble the real thing by analysing the chemical composition of actual odours. A possible benefit of this technology in the healthcare sector is that synthetic odours may mimic the scents of diseases and aid physicians in making more precise diagnoses. Additionally, some companies are developing small devices that can be connected to computers or mobile devices to emit odours on demand, providing users of virtual reality, gaming, and online shopping with a more realistic experience. In spite of these advancements, it is still exceedingly challenging to recreate the complexity of natural scents, which can include hundreds of different components. With more research and development, there is still a tonne of promise for fragrance technology in the future. 2023 IEEE. -
Smartphones in churches: An affective negotiation around digital disruptions and opportunities in Delhi Christian Churches
Interpersonal relations in a world of digital ubiquity have brought religious institutions into personal digital networks. The development of personal-religious networks has affected individual faith practices and altered religious responses. This article explores patterns of behaviour emerging from a collective sense of belonging and affective responses in online church networks where smartphones acts as an extension of self. It analyses the relationship between faith and visual practices/aesthetics impacting today's religious experience. It also explains affective loops that are consciously constructed by church authorities to shape collective action. The function of these loops is to create a deeper sense of connectedness between practitioners and the church through harnessing technology and its affective power. 2019 Journal of Content, Community & Communication. -
Smartphone Usage, Social Media Engagement, and Academic Performance: Mediating Effect of Digital Learning
Smartphone has penetrated across all regions of India and all sections of the society, especially among the higher education student community. Smartphones with the internet, in turn, provide access to social media platforms. Smartphones and social media (SM) together provide several benefits to the users, and they also cause unwanted repercussions on the users such as adverse mental health, addiction, and laziness. But one of the important gains of smartphone and social media usage (SMU) is digital learning through them. Smartphones and SM are inevitable in the academic process of higher education students. The students use extensively the smartphone and SM for sharing information and content, for having peer discussion, for managing assignments, and for communicating with the instructors. So, this study tries to study the mediating effect of digital learning through smartphones and SM on the educational accomplishment of private university students in Bangalore, India. This study adopted the survey method of research which collected primary data through structured questionnaires from the private university students. The collected data were analyzed using students t test, One-way ANOVA, Chi-Square, and Structural Equation Modeling. The study results found that smartphones and SM affect the academic performance (AP) of the sample students significantly through digital learning. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Smartphone based indoor localization and tracking model using bat algorithm and Kalman filter
In recent days, accurate localization becomes essential for enabling smartphone-based navigation to attain maximum accuracy in the construction of the real world.Fingerprint-based localization is the widespread solution to achieve and assure effective performance. In this study, a new fingerprint-based localization model using a bat algorithm (BA) is presented stimulated by the echolocation nature of microbats. The presented model adapts BA for estimating the location information. Initially, the presented model applies a Bayesian-rule based objective function. Then, the BA is used for improving the accuracy and analyzing the effects of the initial position of the bats on the localization outcome. For mitigating the estimation error, the Kalman filter is employed for updating the initially determined position using the BA for tracking purposes. The experimental analysis indicated an improvement in real-time performance and decrease in computation complexity. The presented model also obtained maximum localization accuracy with minimum localization error over the compared methods. 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature. -
Smartphone application-based colorimetric fish freshness monitoring using an indicator prepared by rub-coating of red cabbage on paper substrates
This work developed a simple, easy-to-prepare, and inexpensive indicator (R-Paper) based on rub-coating of red cabbage on readily available paper substrates to detect the freshness of fish in out-of-lab settings. A single-step rub-coating method was used to incorporate anthocyanins on paper substrates, without the extraction of the compound from red cabbage. The preparation of the indicator and its usage is quick and does not require additional chemicals, personnel expertise, or laboratory facilities. The functional colorimetric interface created by directly rubbing red cabbage on paper was used for fish quality monitoring, which displayed a naked-eye detectable color change from purple (for fresh fish) to blue (for spoiling fish) and then to blue-green (for spoiled fish), corresponding to total volatile basic nitrogen (TVB-N) and pH changes. To provide a user-friendly quantitative analysis of this color change, we used the free Android software Color Grab to quantify the color using L*, a*, b*, and RGB indices. To the best of our knowledge, this work is the first report on an indicator prepared by rub-coating red cabbage onto paper-based substrates for fish spoilage monitoring through smartphone-based analysis. To verify that the R-Paper indicator performs on a par with the indicators using extracted anthocyanins, its performance was compared with indicators prepared using anthocyanins extracted from red cabbage (AR-Paper). Naked-eye analysis, simple preparation, ease of use, low cost, and free smartphone-based analysis make the R-Paper indicator an appropriate food quality indicator in resource-limited areas. 2023 Elsevier B.V. -
Smartphone addiction among post-graduate management students: The Indian experience
This study aimed to recognize the patterns of smartphone addiction among post-graduate management students in the North-East Region of India. The validated Smartphone Addiction Proneness Scale (SAPS) was administered to the respondents, and two different methods, namely SAPS method and median-based scoring method, were used to measure smartphone addiction. The measurement results of smartphone addiction show evidence that the student respondents are not vulnerable to smartphone addiction. Principal component analysis with promax rotation (KaiserMeyerOlkin measure = 0.84; Bartletts test of sphericity = 0.000) demonstrated four crucial components that signify smartphone addiction which are habitual issues (issues relating to regularly or repeatedly doing or practicing something), withdrawal anxiety, tolerance, and usage outcomes. Gender was not seen to play a significant role in these components. The duration of use of a smartphone was seen to have a significant relationship with the component of habitual issues but not with the other components. 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. -
SmartHealth: Personalized Diet and Exercise Plans Using Similarity Modeling
Due to the growing prevalence of chronic diseases stemming from unhealthy lifestyles, a personalized approach to patient care is crucial. This paper delves into a system that utilizes cosine similarity and Pearson correlation to generate tailored diet and exercise plans, effectively managing chronic diseases. The system focuses on common chronic conditions like diabetes, hypertension, and thyroid disorders. Through sophisticated similarity modeling for diet and exercise, the proposed system provides integrated and personalized lifestyle recommendations, outperforming non-personalized or basic rule-based systems. 2024 IEEE. -
Smartbag safety guaranteed /
Patent Number: 202241013759, Applicant: Kavipriya K.
Coronary artery disease is becoming one of the most common heart diseases recently because of the unhealthy lifestyle from past few decades. The coronary artery supplies the oxygenated blood and nutrient to the heart muscle. If the artery is blocked or narrowed by the stenosis deposit on the wall of the artery it led to coronary artery disease. If the block is high it will lead to heart attack or stroke. Doctors do an Angiogram test to diagnosis the stenosis. -
Smart Vehicle Recognition System on Indian Roads Under Rainy Conditions
Recognition of vehicles under the different weather condition is very challenging. This work aims to recognize vehicles on Indian road in accordance with their visibility. It is important to recognize the surround roadside objects, particularly front and rare vehicles to avoid the accidents. Especially in raining conditions vehicle recognition is rate traffic surveillance cameras get decreases due to water droplets. Hence, we proposed a method for recognition of vehicles on road in rainy condition using image processing in computer vision techniques to improve the recognition rate. In the proposed method, an instance segmentation technique is used to segment the vehicles in Indian road scene and the visual noise and texture features are analysed and computed in the segmented images to recognize the vehicles more accurately in rainy conditions. By integrating the visual noise features with the texture feature and instance segmentation, the accuracy of vehicle recognition is improved. The experimental findings demonstrated that the suggested approach could more accurately predict the visibility of vehicles in rainy weather conditions. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. -
Smart Tracker Device for Women Safety
Internet of Things (IoT) technologies assists by which machines, circuits, and many types of devices and interfaces communicate with one another. This IoT technology is useful for several purposes, especially in the field of Networking and Run-time data storage. Considering Women safety as our primary objective, we have used this technology and some other hardwares, including Raspberry Pi, to help the user in case of any emergency. Here also, with the help of IoT we are trying to make a device which can track the runtime location and the live, exact and efficient coordinates of the system which is in track. In the above context, in case of emergencies, it is very important to know the right place for the person to perform several important and critical actions whatsoever present at the right time.The GPS coordinates can be used to solve and analyse this problem. Additionally, we intend to add a voice recorder in case the women want to record any suspicious activity or information that can be helpful in the future for evidence purposes. In this paper, IoT is acting directly by receiving a person's GPS links from his server. Furthermore, we are combining the web interface with Google Maps on a single server so that the user's location can be tracked immediately using real-time coordinates.Our application can be used for wildlife, school-aged children, parent safety, and transportation services where location is a key factor. Although there are several direct and indirect usages of this project, the main use to which the project is concentrated is the use of this device to help our loved ones in the time of need. 2021 IEEE. -
Smart toll collection through GPS /
Patent Number: 202141032100, Applicant: Manohar Madgi.
In this approach no toll plaza and no card at all. As soon as the vehicle comes on the toll road, information is captured through GPS (Referring Google Map). At the starting point, the driver gets a welcome message as Welcome, your toll starts now•. Once the vehicle leaves the toll road and takes the service road, the driver gets another message like, Thank you for traveling these many kilometers, and the toll collected is Rs.