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The wellbeing van: A strength-based model for student engagement and promoting student wellbeing
This book chapter takes a proactive approach to address stress by introducing a preventive measure, a relatively new approach implemented on college students in Bangalore, India called the "wellbeing van." The chapter emphasizes the importance of not only managing and coping with stress, but also implementing strategies that promote overall well-being by tapping into the intrinsic factors of the student. The well-being van has shown promising results in reducing stress levels among students in academic institutions. Additionally, the chapter delves into the difficulties students face in maintaining social relationships, conforming to societal expectations, and finding their place. It provides valuable insights on how to foster healthy social dynamics and create supportive environments for students. 2024, IGI Global. All rights reserved. -
Creating a positive school culture through new educational practices
There is an increase in rates of depression and anxiety globally. Schools have moved from a traditional approach of learning and teaching to contemporary forms which includes technology. New revolution has taken place in the world of schooling, with the entry of positive education. Positive education is the application of principles in positive psychology to schooling to enhance the well-being of students and schools. The objective of this review-based chapter is to bring to light the use of various strategies of positive education in classrooms, for middle school students, in order to create a positive learning environment. An evidence-based learning approach is used in this chapter. This chapter address issues and concerns regarding the challenges in applying the strategies of positive education. The main aim of creating a positive school culture in middle school is to enhance the happiness and well-being of students The chapter brings out the need for positive education in the current generation and discusses the implications of the further scope of positive education in India. 2021, IGI Global. -
AI-Driven Home Climate Optimization: The Role of ChatGPT in Enhancing AC Efficiency
The convergence of Internet of Things (IoT) and Artificial Intelligence (AI) has revolutionized home automation, yet traditional air-conditioning (AC) systems still struggle with energy inefficiency. Our research presents a novel solution, integrating AI, IoT, and user-centric design with ChatGPT, to optimize AC systems responsively to occupants' needs. Our methodology employs ChatGPT's capability to analyze historical data, discern patterns, and provide intelligent recommendations for AC operation. This transcends the functions of standard smart thermostats through AI-driven decision-making, optimizing every AC operational moment for both comfort and energy conservation. The system's foundation in data-driven decisions ensures alignment with external and internal conditions, enhancing energy efficiency and user comfort. 2024 IEEE. -
Systematic Review of Interparental Conflict and Intimate Relationship Satisfaction of Adult Offspring
Purpose: The objective of this paper is to synthesize a systematic review and showcase the findings of how interparental conflict affects the adult offsprings relationship satisfaction. Approach: The paper follows a systematic review approach adhering to PRISMA Guidelines. Findings: Three major themes were identified by the researcher that explained the consequences of interparental conflict on adult offspring. The themes are-Offspring Factors, Offspring factors feature the significant components and factors of offspring that highlight the differences in impact of interparental conflict on ones own romantic relationship; Consequences of Interparental Conflict on Offspring, which highlights the various corollaries on offspring of divorce; and Parent Factors help understand the different parental elements that affect relationship satisfaction of adult offspring. Limitations: 4 full text articles could not be accessed by the author, and hence were not accounted for in the study. Practical Implications: The study helps practitioners comprehend the extensive effects of interparental conflict for usage in therapeutic setups. It also highlights research gaps in existing literature such as lack of studies focusing on men, LGBTQ+ population, children from polygamous families and multicultural cohorts. Value/Originality: Despite the numerous studies published on the topic interparental conflict and its effects on adult offspring, no review has been done to the authors knowledge, thereby limiting the accessibility of precise information. The research aims to bridge this gap, and make comprehensive findings easily accessible. 2022 RESTORATIVE JUSTICE FOR ALL. -
Educate, enable and empower future leaders: A model for community development through the child sponsorship program
The Child Sponsorship Program is an attempt by development organizations to reinstate the rights of a child to education, focusing on the overall well-being of a child and the community. The Sustainable Development Goals view Child Sponsorship Program as a tool for contributing towards development goals and targets. While the conventional models of the Child Sponsorship Program focused on the scholastic performance of children up to the elementary level, several progressive sponsorship programs aim at the whole personal development of the children and their community by ensuring community participation and a development-based approach targeting education, livelihood, empowerment, etc. This program channelized by the Centre for Social Action (CSA), CHRIST (Deemed to be) University), Bengaluru, is a child development program that engages with the goals of holistic development of the child and community development through the Child Sponsorship Program in two urban slum communities in Bengaluru. The research aims to study the change brought in the indicators, such as education, behaviour and attitude change, leadership and their holistic development, by the program. It also intends to assess the impact of the program on the development of the family, community and participation of the community members in the academic development of children. The study follows a qualitative study employing in-depth interviewing and Focused Group Discussions with parents and child participants of the communities where the Child Sponsorship Program is implemented. The data is analyzed through qualitative and quantitative software. 2024 Nova Science Publishers, Inc. -
A critical analysis of the contemporary popular malayalam motion pictures as compared to the malayalam movies of 1980s /
Malayalam new wave films prominently made by Adoor Gopalakrishnan and Aravindan bagged several national awards which helped to make a mark in the history of Indian cinema. But these movies were not reaching the wavelength of general audience who found it difficult to relate to it. Later the types of movies were produced which was a synthesis of art films and commercial films. It was called middle stream cinema because it contained the aspect of realistic portrayal of human life and social issues. It was also easy for the general audience to grasp the content of those movies. So the period of 1980s where the middle stream films flourished was a mile stone in Malayalam cinema. The movies which were produced after 2000 in Malayalam also showed a sense of social reality in it compared to the previous decade. With the kind of technical advancement filmmakers of current era are able to experiment in the narratives maintaining the realistic feel of movies. The analysis showcases changing trends of the movies from the Malayalam movie industry taking into consideration the technological advancements, socio-economic and cultural factors. -
Factors influencing family reintergration of children in conflict with law
The Children in Conflict with Law (CCL) is one of the two categories of children under the Juvenile Justice Act, 2015 (JJA, 2015). The behaviour formation of the CCL is significant because it could help the children: (a) from being a possible threat to society, and (b) being disciplined at all stages of their growth. The failure of newlinebehaviour correction of CCL may lead to severe recidivism, and can potentially newlinetransform them into experienced criminals who would not be tolerated by any society. newlineReintegration of CCL back into their family is the best solution for the problem. The newlineresearch Factors influencing family reintegration of CCL is an attempt to find the factors influencing these children, their family environment, and the society as a newlinewhole for reintegration. This fact-finding study has been completed with an explanatory sequential method in a mixed-research approach. The child offender s demographic details, personality, family environment, social support, and protective factors were part of this research s study. The data were collected both quantitatively and qualitatively. The self-made interview schedules and a standardised tool of the newlineBig Five Personality Inventory were used quantitatively. Case studies through in depth interviews and observations were applied qualitatively to collect data. Simple newlinefrequency analysis and cross-case study with thematic analysis have been used for newlineanalysing the data. Though many powerful social support systems like the Juvenile newlineJustice Board (JJB), District Child Protection Unit (DCPU), Police and Non Governmental Organisations (NGO) supported the reintegration of CCL actively, the newlinepersonality of the children and their family environment with its traditions had created adverse effects on the attempts towards reintegration. Twenty to thirty per cent newlineof successful reintegration proves that a scientific and timely intervention can solve newlinethe problems of juvenile delinquency to a great extent. -
Factors influencing family reintegration of children in conflict with law
The Children in Conflict with Law (CCL) is one of the two categories of children under the Juvenile Justice Act, 2015 (JJA, 2015). The behaviour formation of the CCL is significant because it could help the children: (a) from being a possible threat to society, and (b) being disciplined at all stages of their growth. The failure of behaviour correction of CCL may lead to severe recidivism, and can potentially
transform them into experienced criminals who would not be tolerated by any society. Reintegration of CCL back into their family is the best solution for the problem. The research “Factors influencing family reintegration of CCL” is an attempt to find the factors influencing these children, their family environment, and the society as a whole for reintegration. This fact-finding study has been completed with an explanatory sequential method in a mixed-research approach. The child offender’s demographic details, personality, family environment, social support, and protective factors were part of this research’s study. The data were collected both quantitativelyand qualitatively. The self-made interview schedules and a standardised tool of the Big Five Personality Inventory were used quantitatively. Case studies through indepth interviews and observations were applied qualitatively to collect data. Simple frequency analysis and cross-case study with thematic analysis have been used for analysing the data. Though many powerful social support systems like the Juvenile Justice Board (JJB), District Child Protection Unit (DCPU), Police and Non Governmental Organisations (NGO) supported the reintegration of CCL actively, the personality of the children and their family environment with its’ traditions had created adverse effects on the attempts towards reintegration. -
Impact of advertising slogans as a connecting medium between brands and consumers in India /
Advertising Slogans are short memorable words or phrases used in different advertisement campaigns. These have a lot of Impact on the consumers when they think of buying a product. They are the main means of attraction to an aspect of a product. Advertisers use it as an essential tool for the marketing of the brands. In a way these help in connecting people irrespective / respective of their class, creed, culture etc. -
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Removal of Artifacts from Electroenchaphalography Signal using Multiwavelet Transform
The signal from the brain can be recorded using Electroenchaphalography (EEG). The proposed work summarizes a unique method which is used for the removal of mixed artifacts presented in the electroencephalography signal during the acquisition process. Artifacts comprises of various bio-potential unit such as electrooculogram, electrocardiogram, and electromyogram. These artifacts are referred as a noise sources which is responsible for the complexity of the EEG signal. The artifacts obtained from the EEG signal leads towards improper diagnosis of pathological conditions. The EEG signal which is obtained from the brain is the multi-dimensional signal with the various statistical properties. Time consumption of the EEG signal is not reproducible due to the biological properties of the signal. The information of the EEG signal consists of the data of the neuron levels which is collected for every millisecond with the temporal resolution scale. In account of special cases, EEG signal contains noise and artifacts where information is collected using the extraction of signals. To obtain the information of the artifacts the proposed technique is used to maintain higher accuracy in the extraction process. The proposed technique consists of multiwavelet transform to remove the artifacts from the input EEG signal. In the proposed multiwavelet transform, the signal which consists of noisy features can be decomposed using GHM and thresholding technique. This experimental analysis shows the removal of artifacts from the EEG signals. The pathological conditions are removed which leads to the increase in the accuracy of the system. Also, this research findings shows that the proposed multiwavelet transform based approach outperforms significantly with respect to conventional approaches. The reconstructed EEG signal has the lesser reliability range which is measured in-terms of signal to noise ratio and power spectral density. Published under licence by IOP Publishing Ltd. -
Proficient technique for satellite image enhancement using hybrid transformation with FPGA
Visual quality of images is improved by digital techniques for the improvement of photographs. The main purpose of image improvements is to process an image to make the output more desirable for a particular use than the original image. This paper proposes a new approach, which improves the picture of the satellite by the use of the SVD DWT concept, the Gaussian transformation DWT and multiwavelet transformation. This suggested approach would convert and approximate the single-colour value matrix of the low-flowing sub-band into one low-frequency and 15 high-frequency sub-bands, and then recreate the improved picture using the inverse transformation. In terms of technical criteria as PSNR, RMSE and CC, this approach can have higher quality and quantitative performance. This paper introduces strategies for improving hardware images using a programmable door array in real-time (FPGA). The suggested algorithm is implemented successfully with Xilinx ISE, MATLAB and ModelSim on different scale satellite images in Verilog HDL. In this article, these algorithms should be simulated and implemented using Verilog HDL. The Spartan-3E from Xilinx is the unit chosen here. 2021 IEEE -
Diagnosis of Retinal Disease Using Retinal Blood Vessel Extraction
The eye is one of the important organs of the human body. In recent times, major parts of the eye are damaged due to various retinal diseases. Major diseases related to the retina are glaucoma, papilledema, retinoblastoma, diabetic retinopathy, and macular degeneration. These diseases can be detected using image processing techniques. These diseases can cause damage to the eye; hence the early diagnosis can prevent the loss of vision. Thus the early stage of rectification may lead to smaller damage than the risky ones. By extracting the blood vessels, various retinal diseases can be identified, and the severity of the disease can also be identified. Some of these diseases in the retina will occur due to hypertension, blood pressure, and diabetics. Thus, the tear in the blood vessels leads to the loss of visuality in human beings. The proposed work consists of image processing techniques such as segmentation, feature extraction, and boundary extraction which lead to the identification of various retinal diseases with a certain level of accuracy, sensitivity, and specificity by using image processing techniques. The training and testing of retinal images are carried out by using the artificial neural network (ANN) classifier for glaucoma detection and support vector machine (SVM) classifier for detecting diabetic retinopathy. 2021, Springer Nature Switzerland AG. -
Equalization of Finite-Alphabet MMSE for All-Digital Massive MU-MIMO mm-Wave Communication
For more than twenty years, growing the performance and efficiency of wireless communications systems using antenna arrays has been an active field of study. Wireless networks with multiple-input multiple-output are also part of the current norms and are implemented around the world. Access points or BSs with comparatively few antennas are used for standard MIMO systems, and the resulting increase in spectral efficiency was relatively modest. A Multiple-Input Multiple-Output platform's capacity is researched where the transmitter outputs are processed and quantified by a set of limit quantizes through an analogue linear combining network. The linear mixing weights and cutoff levels are chosen from with a collection of possible combinations as a function of the transmitted signal. Millimetre-wave networking requires optimum data transmission to various computers on same moment network in combination with large multi-user actually massive. In order to guarantee efficient data transmission, the heavy insertion loss of wave propagation at su ch a faster speed needs proper channel estimation. A new channel estimation algorithm called Beam space Channel Estimation is suggested. From a set of possible configurations, the capacity of a massive stream from which antennas signals are handled by an analog channel as a part of the channel matrix, linear mixture weights and frequency modulation levels are selected. Probable implementations of specific analogue receiver designs for the combined network model, such as smart antenna selection, sign antennas output thresholding or linear output processing. To demonstrate the effectiveness of BEACHES in service and have FPGA implementation results, we are developing VLSI architecture. Our results show that for large MU-MIMOs, mm-wave communications with hundreds of antennas, specially made denoising can be done at maximum bandwidth and in an equipment format. Published under licence by IOP Publishing Ltd. -
An Improvised Mechanism for Optimizing Fault Detection for Big Data Analytics Environment
In the applications of fault detection, the inputs are the data reflected from health state of the observed system. A major challenge to finding errors is the nonlinear relationship between the data. Big data has other drawbacks, and the volume and speed with which it is generated are reflected in the data streams themselves. In this paper, we develop a deep learning model that aims to provide fault detection in big data analytics engine. This investigation develops an approach for fault detection in large datasets using unsupervised learning. In this research, an unsupervised method of learning is developed specifically for the task of classifying large datasets. To discover regular textual patterns in large datasets, this research use data visualization methods. In this virtual environment, we employ an unsupervised learning method of machine learning that does not require human oversight. Instead, the system should be allowed some leeway to work and find things on its own. The unsupervised learning approach utilizes data that has not been tagged. In contrast to supervised learning, this approach can handle complex tasks. 2024, Ismail Saritas. All rights reserved. -
Liquid gold: assessing groundwater quality at the historic Kolar gold fields, Karnataka, India
To assess ecological sustainability and resilience, it is necessary to periodically examine various ecological properties in areas with high pollution and contaminant risks. Kolar Gold Fields (KGF) in Kolar, Karnataka, showcases one of India's most contaminated zones because of the extensive gold mining and its lingering effects. In KGF, the quality of groundwater has been severely reduced as there exist extensive mining tailings, locally referred to as cyanide dumps, which have been neglected for several preceding years without proper disposal strategies. The current approach focuses on the water pollution caused by heavy metal deposits in the KGF region. Groundwater samples were sampled from Oorgam, an abandoned region in KGF, and subsequently filtered for water quality examinations. The investigation documented concentrations of several metals, including cadmium (0.068 0.0024 ppm), lead (0.288 0.0016 ppm), nickel (0.058 0.0047 ppm), and chromium (0.23 0.0235 ppm) and have met the standard specifications in accordance with World Health Organization (WHO). Prominent pH disparity was documented amongst the experimental samples, with a detectable pH drop in the aqua-purified water in comparison to the positive control. The test results imply that the water samples collected from KGF remain unpotable for consumption or irrigation due to the persistence of high levels of heavy metal concentration. This study underscores the urgent requirement for a remedial approach to ensure water safety for drinking and irrigation in the area. 2025 Brawijaya University. All rights reserved. -
Secure and analytical agile framework for software continuous delivery /
Patent Number: 201741040903, Applicant: Anwin Varghese.
IT world thrives on quality software products that helps business sustain and grow. These software products help reduce the effort in time & bring in better economic efficiency making these products highly dependable. The challenge of having quality product releases frequently is not quite an easy task as it sounds. To meet this challenge of producing reliable software products, the IT managers & leads need a team of dedicated developers, system programmers, testers along with a highly efficient process in place. -
A system for human face detection and recognition using feature fusion and a method thereof /
Patent Number: 202141031566, Applicant: Manjunatha Hiremath.
Biometric systems have become a vital role in the process of authenticating an individual based on physical or behavioral features/ traits of human beings. Biometric systems are categorized into two types namely Physiological and Behavioral systems. Face recognition, Fingerprint, Iris recognition, Hand geometry, and DNA fingerprint traits are considered as physiological biometrics which are essentially fixed and are relatively stable whereas voice recognition, signature and keystroke recognition are considered behavioral biometrics that can vary over a period of time due to some factors like aging, mood and behavior of the person. -
Unstructured data extraction system using multi head attention and a novel language model /
Patent Number: 202141056398, Applicant: K. P. Kavitha.
A system 100 for Offline handwritten text recognition (HTR) of a scanned handwritten text input image leveraging Modern Deep Recurrent Neural Network (RNN). System 100 comprises (RNN) is proposed with the help of the present's embodiments disclosure (RNN). A cursive eliminated handwritten text image is mapped to a multi-head attention-based sequence-to-sequence learning applying the beam search technique and employing an RNN-based variable-length encoder-decoder architecture.