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Smart Satellites: Unveiling the Power of Artificial Intelligence in Space Communication-A Study
The incorporation of Artificial Intelligence (AI) into space and satellite communication represents a paradigm shift in the way we explore, navigate, and communicate beyond our planet. This article is about the impact of AI on satellite operations, and the broader field of its communication to the earth. The article explores how AI enhances spacecraft autonomy, mitigates signal degradation, and improves the overall reliability of communication performance Satellite communication benefits from AI-driven advancements, in the areas of signal processing and optimization. Furthermore, examines the integration of AI in space-based challenges and opportunities associated with large-scale satellite networks. AI playing a crucial role in detecting and mitigating cyber security threats in space communication systems. This paper comes up with the perception into the future trends and potential advancements in AI applications for space and satellite communication. 2024 IEEE. -
Challenges of Indian girls with maternal schizophrenia
Schizophrenia, earlier known as dementia praecox, is considered to be one of the most devastating mental illnesses due to its impact on the individual as well as family members. The Indian context characterized by ones rootedness to family, warrant enquiry about difficulties and burnouts faced by girl children.When it is the mother who is suffering from the illness, there tends to be a huge lag in terms of primary care giving. A disturbed home environment along with inadequate parenting have shown to adversely affect the girl children. The present qualitative research study aimed to explore challenges faced by the girl children with maternal schizophrenia with the help of 43 Mental Health Professionals (MHPs) across India. Interpretative Phenomenological Approach (IPA)was adopted and interviews were conducted using a validated interview guide. Thematic analysis revealed that girl children whose mothers are diagnosed with schizophrenia faced challenges in self, family and social sphere of life. Neglect, self blame and the question why me were recurrent themes.They experienced difficulties in cognitive, behavioral and social domains. The added burden of family responsibilities and social stigma made the surroundings challenging.Exploring the world of girls with maternal schizophrenia would deepen our understanding about impact of schizophrenia on family members and aid us develop interventions to support the care givers. 2019 Oriental Scientific Publishing Company. All rights reserved. -
Effect of menstrual distress on interpersonal relationships, school absenteeism, work productivity, and academic performance
Women's health has always been one of the major research areas to identify health patterns to understand the challenges women face and to provide essential support. As time changes, various new challenges and issues emerge around menstrual distress. More research is still needed to identify efficient physiological and psychological support strategies. The current chapter provides a detailed insight into how menstrual pain affects a woman and girl's interpersonal relationships, school presence, peer relations, productivity at the workplace, and academic performance. Further, the chapter captures various literature evidence on the effect of cultural and religious factors affecting menstruation. The chapter also emphasizes providing strategies and mapping down existing policies that are in action to address the challenges women face due to menstrual distress. 2023, IGI Global. -
Meaningfulness and Experience of Perimenopausal Women During the Pandemic in India: A Mixed-Method Study
The perimenopausal transition marks a significant phase in womens lives, and the unforeseen challenges posed by the COVID-19 pandemic added complexity to this already intricate period. We investigated the mediating role of satisfaction with life between meaning in life and quality of life and adaptive strategies employed by perimenopausal women during the pandemic in India. Findings showed satisfaction with life as a strong mediator between meaning in life and quality of life. Thematic analysis identified a global theme of meaning in uncertainty and organizing themes: finding solace in self and actionable insights. The study emphasizes the need for understanding the meaning-making processes and adaptive strategies employed by women navigating perimenopause in the face of unprecedented global challenges. 2024 Society for Menstrual Cycle Research. -
Innovative Leadership and Sustainable Development: Exploring Resource-Efficient Strategies Among Indian Managers
Global sustainability challenges demand innovative leadership approaches, particularly in resource-constrained environments where traditional models may fall short. The current study aimed to explore the need for adaptive, resource-efficient leadership by examining key traits such as empathy, inclusivity, adaptability, and intuitive decision-making that allows managers to balance immediate organizational demands with long-term sustainability goals. A Qualitative-Interpretative Phenomenological Approach was adopted. A total of 28 senior Indian managers were interviewed to understand traits aligned with stakeholder theory and the resource-based view, positioning them as strategic assets for achieving sustainable competitive advantage. Findings revealed that culturally resonant practices of frugality and resilience support social innovation and organizational resilience, contributing to broader sustainable development objectives. Further, it advances sustainable leadership literature by showcasing how resource efficiency and contextual adaptability can foster impactful, sustainable practices, particularly within emerging economies. 2024 ERP Environment and John Wiley & Sons Ltd. -
Is Mindfulness a Key Characteristic of a Jugaad Leader?
The practice of mindfulness has its roots in Eastern religions. Both Hinduism and Buddhism emphasize the need to be calm and to focus on the present moment. This concentration is called mindfulness. In the Indian subcontinent, there is a specific tradition for innovation and creativity that produces the best possible results, even among resources that are often sparse. This approach is called Jugaad. It is increasingly being used as a management technique. Companies in South Asia are adopting Jugaad as a practice to reduce research and development costs and use unconventional approaches to maximize resources for a company and its stakeholders. Tang (The leaders guide to mindfulness. Pearson UK, Harlow, 2018) noted that mindfulness from a context of jugaad creativity or innovation allows individuals to enter a childlike state of creativity. Mindfulness promotes a directed awareness and allows one to look at problems or issues from different perspectives-not only from a clients or customers perspective, but also from that of a child-encouraging further reflection. A mindfulness approach calms the mind before a creative or brainstorming session, which can foster insight and clear the mind for an aha moment in the jugaad innovation process. Often, a successful jugaad creative process requires breaking down psychological barriers in a team-e.g., fear of doing something wrong, fear of ideas being stolen by others. A mindful approach to such issues helps team members meditate and relax, creating a safer space for creative exploration, as these exercises can teach listening and acknowledgement of each individual. Also, the associated creativity and innovation process helps to understand the problem to be solved and generate ideas from it. The mindfulness approach promotes the flexibility and clarity needed for a jugaad approach (Tang, The leaders guide to mindfulness. Pearson UK, Harlow, 2018). The following are the results of the Jugaad leadership survey conducted among managers in India. Managers felt that Jugaad leadership involves leading by example, appreciation and recognition. Also fundamental is leading with humility, openness to receiving feedback, and awareness of ones own thoughts and emotions. Mindfulness also includes language and behavior, the ability to recognize peoples needs, and an intuition in situations that require change. All of these characteristics make it clear that the Jugaad leader is a mindful person and also show that he or she practices mindfulness while guiding, interacting with, and motivating his or her team members. The Editor(s) (if applicable) and The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022. -
Indian psychology: Challenges, strategies, and prospects in education
Knowledge dissemination has been a hallmark of Indian tradition for millennia, particularly in the area of human biology and behavior. Westernization and globalization, however, have caused a gradual erosion of this rich heritage, resulting in waning interest among the populace. As a discipline, Indian Psychology faces a number of formidable challenges. The number of preconceived biases within society, the Westernized educational system, and the shortage of faculty with expertise in Indian psychology hinder the recognition and dissemination of the field. A dearth of research studies directly related to Indian psychology is also hindering its development and recognition. Emphasis was given on the importance of thorough research to substantiate its contributions to the understanding of human cognition, behavior, and consciousness. Promoting Indian psychology as an important and respected field requires dispelling misconceptions and fostering awareness. Through collaboration and increased research, Indian psychology can rightfully claim its place within the global academic community. 2024, IGI Global. All rights reserved. -
I am lost in that reality, and I'm just playing the game: a qualitative study exploring gaming behaviour and its effect on young adults in India
The current study aims to explore gaming behaviour among young adults in India and its effects on their physical and emotional health, productivity, interactions, and social life. Data were collected from 12 avid gamers through in-depth semi-structured interviews. A thematic analysis was conducted to identify the global theme and organise themes from the data. The global theme was the exploration of contemporary gaming behaviour. The habit theme included the origin of the game, practice, and change over time, while the effects theme focused on the physical and emotional health, productivity, interactions, and social life of young adults who engaged in gaming. The findings suggest that gaming behaviour has become an established habit among young adults in India, significantly affecting various aspects of their lives. The study highlights the need for increased awareness of the potential negative consequences of excessive gaming and emphasises the importance of moderation in gaming. 2024 Informa UK Limited, trading as Taylor & Francis Group. -
Strategic teaching in the hybrid classroom: Pedagogical wellness
This book is a comprehensive guide designed to equip educators with the knowledge and strategies needed to explore the evolving landscape of hybrid education. This indispensable resource emphasizes the integration of wellness into educational practices, ensuring that both educators and students thrive in supportive and nurturing environments. Structured into carefully written evidence-based chapters, this book provides a blend of theoretical perspectives as well as practical strategies. This book begins by tracing the evolution and importance of hybrid teaching, emphasizing a flexible, student-centered, and wellness-oriented approach. Educators will find detailed guidance on designing and implementing engaging hybrid learning experiences that leverage technology to enhance interaction and learning. Key topics include fostering collaboration and community within hybrid classrooms, promoting digital literacy among educators, and addressing the critical aspects of diversity, equity, and inclusion. This book also highlights the future trends in hybrid education, such as gamification and learning analytics, and offers strategies for continuous professional development. By addressing both the logistical and human elements of teaching, "Strategic Teaching in the Hybrid Classroom" stands as a vital resource for educators, administrators, and policymakers. It advocates for dynamic, student-focused educational practices aligned with the realities of the 21st century, aiming to create an educational ecosystem where everyone can thrive. 2024 by Nova Science Publishers, Inc. All rights reserved. -
Global Applications of Indian Psychology: Therapeutic and Strategic Models
Global Applications of Indian Psychology: Therapeutic and Strategic Models addresses a pressing problem in the field of psychology: the need for a fresh perspective that can effectively tackle the complex challenges of our modern world. While traditional Western psychology has its merits, it often fails to consider crucial aspects of human experience and well-being, limiting our understanding and hindering our ability to meet diverse global needs. This book offers a solution by presenting an interdisciplinary exploration of Indian psychology and its practical applications. Edited by Anuradha Sathiyaseelan and Sathiyaseelan Balasundaram, this comprehensive guide caters to academic scholars seeking a unique approach to understanding human psychology. It delves into the historical roots and philosophical foundations of Indian psychology, providing readers with a profound understanding of its principles and theories. The book highlights the multidisciplinary applications of Indian psychology, ranging from management and health to clinical practices, highlighting the significance of ancient Indian texts, ayurveda, yoga, and mindfulness meditation. By facilitating cross-cultural dialogue and collaboration, Global Applications of Indian Psychology: Therapeutic and Strategic Models bridges the gap between Indian and Western psychology, offering researchers and practitioners insights from both traditions. This fosters a more comprehensive understanding of human psychology and equips individuals with effective strategies to enhance well-being and flourishing worldwide. This invaluable resource fills a crucial gap in the field, offering a unique perspective and practical insights for teaching professionals, students, healthcare professionals, policymakers, researchers, and scholars in their quest for understanding and improving human psychology. 2024 by IGI Global. All rights reserved. -
Mental health professionals view on the need for early intervention for offspring of individual with schizophrenia in India
Schizophrenia is a debilitating mental illness not only for the individual but also for the family, especially the children. There is a definitive likelihood of the vulnerability being transmitted to the child. As a result of the parents illness there may also be disruptions in the family dynamics and in home environment. However, many children have been found to show resiliency. The aim of this particular study was to explore the need for intervention in children who's either parent were being treated for schizophrenia. Using qualitative Interpretative Phenomenological Approach (IPA) mental health professionals from all over India were interviewed with the help of validated interview guide. To understand their lived in experience of these professionals the audio recorded interviews were transcribed and analysed for exploring the themes using thematic analysis. Significant themes found indicated that early interventions were crucial for the wellbeing of the child, specifically in the Indian scenario. 2018 Oriental Scientific Publishing Company. -
Smart Precision Irrigation Techniques Using Wireless Underground Sensors in Wireless Sensors
The term brilliant accuracy agribusiness alludes to advances like the Internet of Things, remote sensors, and artificial reasoning on the ranch. A definitive objective of this paper is to expand the quality and amount of the harvests while advancing the human work utilized, use of water system, and diminishing the water system times in light of climate forecast. This proposed framework utilizes the three kinds of sensors like Moisture sensor is used to detect the dirt dampness, the Humidity sensor is utilized to return how much water is present in the encompassing air, Temperature sensors are utilized to give the temperature of the dirt. Each of the three qualities is passed to the remote sensor hub and moved to the information lumberjacks. At long last, the information lumberjack will send the message like beginning the water system to a programmed water lock framework. When all water measures arrive at the water system limit, the programmed water lock framework will be shut. By using the underground, remote sensors, we can track the conditions of various agricultural applications such as soil properties, seed varieties and monitor the environmental situations. Every gadget contains significant gear like sensors, memory, a processor, and a power source. 2022 IEEE. -
Automated lung cancer T-Stage detection and classification using improved U-Net model
Lung cancer results from the uncontrolled growth of abnormal cells. This research proposes an automated, improved U-Net model for lung cancer detection and tumor staging using the TNM system. A novel mask-generation process using thresholding and morphological operations is developed for the U-Net segmentation process. In the pre-processing stage, an advanced augmentation technique and contrast limited adaptive histogram equalization (CLAHE) are implemented for image enhancement. The improved U-Net model, enhanced with an advanced residual network (ARESNET) and batch normalization, is trained to accurately segment the tumor region from lung computed tomography (CT) images. Geometrical parameters, including perimeter, area, convex area, solidity, roundness, and eccentricity, are used to find precise T-stage of lung cancer. Validation using performance metrics such as accuracy, specificity, sensitivity, precision, and recall shows the proposed hybrid method is more accurate than existing approaches, achieving a staging accuracy of 94%. This model addresses the need for a highly accurate automated technique for lung cancer staging, essential for effective detection and treatment. 2024 Institute of Advanced Engineering and Science. All rights reserved. -
An intelligent web caching system for improving the performance of a web-based information retrieval system
With an increasing number of web users, the data traffic generated by these users generates tremendous network traffic which takes a long time to connect with the web server. The main reason is, the distance between the client making requests and the servers responding to those requests. The use of the CDN (content delivery network) is one of the strategies for minimizing latency. But, it incurs additional cost. Alternatively, web caching and preloading are the most viable approaches to this issue. It is therefore decided to introduce a novel web caching strategy called optimized popularity-aware modified least frequently used (PMLFU) policy for information retrieval based on users' past access history and their trends analysis. It helps to enhance the proxy-driven web caching system by analyzing user access requests and caching the most popular web pages driven on their preferences. Experimental results show that the proposed systems can significantly reduce the user delay in accessing the web page. The performance of the proposed system is measured using IRCACHE data sets in real time. Copyright 2020, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited. -
Usage data for predicting user trends and behavioral analysis in E-commerce applications
Reviewing and buying the right goods from online websites is growing day by day in todays fast internet environment. Numerous goods in the same label are available to consumers. It is thus a difficult job for consumers to pick up the correct commodity at a decent price under different market conditions. Therefore, it is important for owners of online shopping websites to better understand their customers needs and offer better services. For these reasons, the access log documented a vast amount of data related to user interactions with the websites. This access log therefore plays a key role in predicting user access trends and in recommending the best product to consumers. This research work therefore focuses on one such methodology for evaluating the pattern and behavioral analysis of users in e-commerce websites. Copyright 2021, IGI Global. -
Analyzing and optimizing the usability of website access
The world wide web (WWW) plays a significant role in information sharing and distribution. In web-based information access, the speed of information retrieval plays a critical role in shaping the web usability and determining the user satisfaction in accessing webpages. To deal with this problem, web caching is used. The problem with the present web caching system is that it is very hard to recognize webpages that are to be accessed and then to be cached. This is forced by the fact that there are broad categories of users and each one having their own preferences. Hence, it is decided to propose a novel approach for web access pattern generation by analyzing the web log file present in the proxy server. Further, it tries to propose a novel hybrid policy called popularity-aware modified least frequently used (PMLFU) that best suits for the current proxy-based web caching environment. It combines features such as frequency, recency, popularity, and user page count in decision-making policy. The performance of the proposed system is observed using real-time datasets, empirically using IRCACHE datasets. 2020, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited. -
ZnO:Al thin films from (Al2O3)x(ZnO)(1-x) powder targets by magnetron sputtering
In the present work we prepared Aluminum doped Zinc Oxide (AZO) thin films from powder targets. Various concentrations (W/W percentages) of Al2O3 such as1%, 2%, 3%, 4%, 5%, 6%, 7% and 8% were mixed in ZnO powder and made in the form of a 3 inch disc target. These ceramic targets are sputtered in RF magnetron sputtering unit for the deposition of AZO thin films. Optical and electrical properties are analyzed to get an optimized percentage of mixing for achieving high transparency and low resistivity. At Al2O3 percentage of 3% there is a considerable decrement in the resistivity, and at 7% there is a considerable decrease in the optical transmittance. Mobility and carrier concentration are increasing with Al2O3 percentage. Bandgap of the films is observed to be decreasing with increasing the Al2O3 percentage. 2021 Elsevier Ltd and Techna Group S.r.l. -
Person re-identification using part based hybrid descriptor
Real time person re-identification systems require robust descriptors for useful feature extraction. This paper focuses on a novel descriptor which can efficiently re-identify persons in varied views and change in illumination. The descriptors detect the features by dividing the person image into multiple parts. We use a combination of local and global feature descriptors to form a reliable descriptor. Performance evaluation is done on a benchmarking dataset. 2016 IEEE. -
Multi-frame twin-channel descriptor for person re-identification in real-time surveillance videos
Automatic re-identification of people entering the camera network is an important and challenging task. Multiple frames of the same person will be easily available in surveillance videos for re-identification. Dealing with pose variations of the person in the image and partial occlusion issues is major challenge in single-frame re-identification process. The use of more frames from the surveillance videos can generate robust descriptor to tackle issues of pose variations and occlusion. In this paper, we have emphasized on using multiple frames from the same video to generate a multi-frame twin-channel descriptor. The work deals with building a spatial-temporal descriptor which takes advantage of the twin paths to extract features of the person image. Mahalanobis distance metric learning algorithms is used for matching and evaluation. Our descriptor is evaluated on two benchmark datasets and found to surpass the performance of the existing methods. 2017, Springer-Verlag London Ltd.