Browse Items (16488 total)
Sort by:
-
Detecting Deepfake Voices Using a Novel Method for Authenticity Verification in Voice-Based Communication
The widespread use of deepfake technology in recent years has given rise to grave worries about the alteration of audio-visual material. The integrity of voice-based communication is particularly vulnerable to the threat posed by deepfake voice synthesis. The development of cutting-edge methods for the identification of deepfake voices is examined in this paper, which also offers a thorough analysis of current approaches, their advantages, and disadvantages. The research presents a novel method for detecting deepfakes in voice recordings that uses signal processing, machine learning, and audio analysis to separate synthetic voices from authentic voices. By achieving superior accuracy in differentiating between real and deepfake voices, and proposed method supplies a strong barrier against the misuse of voice synthesis technology for malicious purposes, also go over the research some of the possible uses for this technology, like voice authentication system security and social media platform content moderation. The paper's insights will support continued efforts to strengthen the authenticity of voice communication in the digital age and reduce the risks associated with deepfake voice synthesis. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. -
Machine Learning Model Enabled with Data Optimisation for Prediction of Coronary Heart Disease
Cardiovascular disorders remain leading cause for mortality worldwide, necessitating robust early risk assessment. Although machine learning models show promise, most rely on conventional preprocessing, which lacks model portability across datasets. We propose an integrated preprocessing pipeline enhancing model generalizability. Our methodology standardises features solely based on training statistics and then transforms test data identically to prevent leakage. We handle class imbalance through synchronised oversampling, enabling consistent performance despite distribution shifts. This framework was evaluated on an open-source dataset of clinical parameters from an African cohort using classifiers like support vector machines and gradient boosting. All models achieved upto 80% accuracy. Remarkably, evaluating the identical models on five external European and Asian datasets maintains 80% - 86% accuracy. Our reproducible data conditioning strategy enables precise and transportable heart disease risk prediction, overcoming population variability. The framework provides the flexibility to readily retrain models on new data or update risk algorithms for clinical implementation in diverse locales. Our work accelerates the safe translation of machine learning to guide cardiovascular screening worldwide. 2024 IEEE. -
A Survey on Enhancing System Performance of Wireless Sensor Network by Secure Assemblage Based Data Delivery
To provide secure data transmission in Cluster Wireless Sensor Networks (CWSNs), the challenging task is to provide an efficient key management technique. To enhance the performance of sensor networks, clustering approach is used. Wireless Sensor Network (WSN) comprises of large collection of sensors having different hardware configurations and functionalities. Due to limited storage space and battery life, complex security algorithms cannot be used in sensor networks. To solve the orphan node problem and to enhance the performance of the WSN, authors introduced many secure protocols such as LEACH, Sec-LEACH, GS-LEACH and R-LEACH, which were not secure for data transmission. The energy consumption in existing approach is more due to overhead incurred in computation and communication in order to achieve security. This paper studies about different schemes used for secure data transmission. We are proposing new methodology called IBDS and EIBDS that will increase the performance of WSN by reducing computational overhead and also increases resilience against the adversaries. 2017 IEEE. -
An energy efficient authentication scheme based on hierarchical ibds and eibds in grid-based wireless sensor networks
Wireless sensor network is a peculiar kind of ad hoc network, consists of hundreds of tiny, resource constrained as sensor nodes. Clustering is a demanding task in such environment mainly due to the unique constraints such as energy efficiency and dynamic topology. In this paper, a novel energy efficient cluster-based routing algorithm is proposed on which hierarchical identity-based digital signature (IBDS) and enhanced-identity-based digital signature (EIBDS) scheme is concerning in grid-based wireless sensor networks. Firstly we form clusters using multi-parameters-based type-2 fuzzy logic algorithm. This paper proposes an improved ant colony optimisation algorithm, which optimises the energy consumption on data transfer in a WSN. Each node in a sensor network is authenticated using elliptic curve cryptography (ECC). After a set of simulation tests on NS-3 simulator, our proposed work achieves good performance for various metrics. Copyright 2020 Inderscience Enterprises Ltd. -
Enhancing performance of WSN by utilising secure QoS-based explicit routing
Wireless sensor networks (WSN) are infrastructure less and self-configured a wireless network that allows monitoring the physical conditions of an environment. Many researchers focus on enhancing the performance of WSN in order to provide effective delivery of data on the network, but still results in lower quality of services like energy consumption, delay and routing. We tackle this problem by introducing a new routing algorithm, QoS-based explicit routing algorithm which helps in transmitting the data from source node to destination node on WSN. We also involve clustering process in WSN based on genetic algorithm and particle swarm optimisation (GA and PSO) algorithm. We proposed identity-based digital signature (IBDS) and enhanced identity-based digital signature (EIBDS) that involves reduction of computation overhead and also increasing resilience on the WSN. We also use advanced encryption standard (AES), for ensuring the security between nodes and avoid hacking of data by other intruders. Copyright 2020 Inderscience Enterprises Ltd. -
Within-School Socioeconomic Disparities in Academic Achievement: A Qualitative Case Study of Study-Regulation Supports among Indian Secondary Students
Objective: This study explored how socioeconomic contexts shape students study strategies and how these differences relate to academic achievement within the same school setting. Methods and Materials: A single-site qualitative case study was conducted in a private, unaided English-medium CBSE school in Bengaluru, India, enrolling students from diverse socioeconomic status (SES) groups. Thirty students in Grades 89 (aged 1315) were selected through purposive sampling, representing all achievement levels and residence types (day scholars and residential/hostel students). SES classification was informed by parental education/occupation and the Modified Kuppuswamy Scale (2019). Data were collected through semi-structured individual interviews, audio recorded, transcribed verbatim, and analyzed iteratively using line-by-line and focused coding guided by Charmazs grounded theory approach, leading to theme development. Findings: Three themes explained within-school achievement disparities: (1) parental engagement and access to cultural/social capital varied by SES, shaping monitoring, subject support, and study regulation at home; (2) hostel routines and mentoring provided compensatory structures resembling middle-class concerted cultivation, supporting academic regulation for some low-SES residential students; and (3) for low-SES day scholars, teachers and remedial support served as the primary learning resource, often framed in skill-deficit terms rather than culturally responsive pedagogy. Conclusion: Equal access to school resources does not necessarily produce equal outcomes because study regulation develops within unequal family and institutional support ecologies. Equity-oriented, culturally responsive, and relational school practicesalongside targeted academic mentoringmay help reduce persistent achievement gaps. 2025 the authors. -
Impact of Innovative Technology on Quality Education: The Resourceful Intelligence for Smart Society Development
Quality education is the systematic learning and execution road map that build confidence among the learners and develop employability skills. Innovative techniques are the central facilitators of providing quality education for the younger generation. The economists, scientists, management experts, and research initiators are putting their efforts to develop a certain sustainable system in quality education through innovative technology. This is about digital equity, customized education, activity-based classroom, where the young mind is to be in synchronizing with the technology to explore new possibilities of learning and accomplishment. The research initiative reveals the system of implementing the innovative technology for quality education that has a direct impact on smart society development. The principal outcomes of the research initiative include the innovative ideas that transform the traditional education system into a dynamic education framework. The framework includes the integration of tools and techniques for standard mode of operations that reflects the productive and realistic education system. The researchers gracefully interconnected the concepts, methods, and applications of a quality education system that will open up new vistas for future research initiatives in the area of digital education, industry-institution collaboration, developing smart society, and economy of a nation at large. There is significant level of impact of innovative technology on quality education that leads to independent employability skills, creative, and innovative projects for facilitating future generation. All the influencing factors of resourceful intelligence together have great impact on smart society development that leads to provide modern facilities for the residents of smart society and create favorable environment for the future generations. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Data visualization and toss related analysis of IPL teams and batsmen performances
Sports play a very significant role in the development of the human persona. Getting involved in games like Cricket and other various sports help us to build character, discipline, confidence and physical fitness. Indian Premier League, IPL provides the most successful form of cricket as it gives opportunities to young and talented players to show case their talents on various pitch. Decision-makers are the utmost customers for all fundamentals in the sports analytics framework. Sports analytics has been a smash hit in shaping success for many players and teams in various sports. Sports analytics and data visualization can play a crucial role in selecting the best players for a team. This paper is about the Toss Related analysis and the breadth of data visualization in supporting the decision makers for identifying inherent players for their teams. Copyright 2019 Institute of Advanced Engineering and Science. All rights reserved. -
Combined weighted feature extraction and deep learning approach for chronic obstructive pulmonary disease classification using electromyography
The COVID-19 outbreak has led to a rise in respiratory disease-related deaths, including Chronic Obstructive Pulmonary Disease (COPD). Early diagnosis of COPD is crucial, but it can be challenging to distinguish between different chronic pulmonary diseases due to their similar symptoms, leading to misdiagnosis and time-consuming manual inspections. To address this issue, this paper explores the use of a deep learning model to differentiate COPD from other lung diseases using lung sound captured during Electromyography (EMG). The model includes steps such as noise removal, data augmentation, combined weighted feature extraction, and learning. The model's efficacy was evaluated using various metrics, including accuracy, precision, recall, F1-score, kappa coefficient, and Matthews correlation coefficient (MCC), with and without augmentation. The results show that the model achieved 93% accuracy and outperformed other existing state-of-the-art deep learning models, increasing the robustness of clinical decision-making. The Author(s), under exclusive licence to Bharati Vidyapeeth's Institute of Computer Applications and Management 2023. -
Bridging Science and Spirituality: Investigating the Effects of OM Chanting on Brain Waves
In Hindu tradition, the syllable "OM" holds significant spiritual and cultural value in Hindu tradition and is believed to produce positive psychological and physiological effects. Despite its prominence in spiritual practices, the neurophysiological basis for these benefits remains underexplored. In this study, electroencephalography (EEG), a non-invasive method for measuring electrical activity in the cerebral cortex, was employed to investigate the physical changes in brain wave patterns that occur when listening to OM chanting. Five frequency bands, namely delta, theta, alpha, beta, and gamma, are associated with brainwaves recorded through EEG, which define different states of cognitive and emotional nature. With these, this research analyzes EEG signals before and after chanting to identify and quantify changes, and to discuss the therapeutic implications. Several signal processing techniques, such as time and frequency domain analysis, assess variations in amplitude, frequency, and coherence across different brain regions. These findings show an increase in alpha amplitudes (34.2%) and an 85.4% improvement in the theta/beta ratio, related to relaxation, emotional regulation, and additional focus, as well as a decrease in beta waves, linked to stress and cognitive overload. This would show stronger neural integration between the brain hemispheres. The OM chanting evoked these results as a possible neurotherapeutic tool for stress management and cognitive enhancement. In bridging ancient spiritual practices with modern neuroscience, this study provides information on how such seemingly nonsensical meditations as OM chanting can enhance brain function, which is favorable for the third Sustainable Development Goal (SDG) of the United Nations, regarding the goal of healthy life and wellbeing throughout all ages. Further research should be done into these effects in different populations and over long periods to confirm that this is a long-term therapeutic effect. 2025, Sakarya University. All rights reserved. -
Optimized trimetallic CoNiFe phospho-boride electrocatalyst for overall seawater electrolysis
Utilizing abundant seawater for hydrogen production by electrolysis poses new challenges to electrocatalyst performance, demanding effectiveness, resilience, and selectivity for oxygen evolution reactions (OER) over undesired reactions in harsh saline conditions. Herein, trimetallic phospho-boride, CoNiFePB, was synthesized via a chemical reduction method by carefully tuning the concentrations of all elements for overall seawater splitting. The optimized CoNiFePB demonstrated superior OER activity, requiring only 239 mV to achieve 10 mA/cm2 in alkaline simulated seawater, outperforming bimetallic configurations (CoNiPB and CoFePB). The enhancement in hydrogen evolution reaction (HER) activity was attained by adjusting the B/P molar ratio in CoNiFePB, resulting in a low overpotential of 137 mV. A comprehensive kinetic analysis revealed that Ni and Fe play crucial roles in enhancing the adsorption and desorption of the reactant and product, respectively, while Co serves as the active site for intermediate formation, collectively boosting the activity of the trimetallic CoNiFePB. While the electron modulation achieved by B and P triggers the formation of active sites and avoids chloride ion oxidation. The bifunctional CoNiFePB catalyst deposited on Ni foam (NF) demonstrated excellent durability for 10,000 cycles and maintained performance for 70 h in chronoamperometric testing at a high current density of 0.7 A/cm2, emphasizing its long-term stability in alkaline seawater. When integrated into an advanced seawater electrolyzer with a zero-gap assembly, CoNiFePB/NF achieved a current density of 2 A/cm2 at a cell voltage of approximately 2.43 V in alkaline natural seawater. These findings provide significant insights into electrocatalysis for seawater splitting with promising implications for commercial applications. 2025 Elsevier B.V. -
Highly Luminescent MOF and Its in Situ Fabricated Sustainable Corn Starch Gel Composite as a Fluoro-Switchable Reversible Sensor Triggered by Antibiotics and Oxo-Anions
Frequent use of antibiotics and the growth of industry lead to the pollution of several natural resources which is one of the major consequences for fatality to human health. Exploration of smart sensing materials is highly anticipated for ultrasensitive detection of those hazardous organics. The robust porous hydrogen bonded network encompassing a free-NH2 moiety, Zn(II)-based metal-organic framework (MOF) (1), is used for the selective detection of antibiotics and toxic oxo-anions at the ppb level. The framework is able to detect the electronically dissimilar antibiotic sulfadiazine and nitrofurazone via fluorescence "turn-on"and "turn-off"processes, respectively. The antibiotic-triggered reversible fluoro-switching phenomena (fluorescence "on-off-on") are also observed by using the fluorimetric method. An extensive theoretical investigation was performed to establish the fluoro-switching response of 1, triggered by a class of antibiotics and also the sensing of oxo-anions. This investigation reveals that the interchange of the HOMO-LUMO energy levels of fluorophore and analytes is responsible for such a fluoro-switchable sensing activity. Sensor 1 showed the versatile detection ability which is reflected by the detection of a carcinogenic nitro-group-containing drug "roxarsone". In view of the sustainable environment along with quick-responsive merit of 1, an in situ MOF gel composite (1@CS; CS = corn starch) is prepared using 1 and CS due to its useful potential features such as biocompatibility, toxicologically innocuous, good flexibility, and low commercial price. The MOF composite exhibited visual detection of the above analytes as well as antibiotic-triggered reversible fluoro-switchable colorimetric "on-off-on"response. Therefore, 1@CS represents a promising smart sensing material for monitoring of the antibiotics and oxo-anions, particularly appropriate for the real-field analysis of carcinogenic drug molecule "roxarsone"in food specimens. 2022 American Chemical Society. -
The linkage of sustainable development and spirituality at workspace from the perspectives of university teachers
Purpose Sustainability and spirituality are interrelated concepts that hold immense importance in todays world. The purpose of this study is to explore the influence of spirituality (and its dimensions) on sustainability in the educational sector, in addition to examining the role of socio-demographic factors. Design/methodology/approach A quantitative research design was employed using a structured questionnaire. The data were analysed through independent t-tests, analysis of variance, correlation analysis and structural equation modelling (SEM) to assess relationships between socio-demographic factors, workspace spirituality and sustainability. Findings The study found no significant differences in sustainability levels across gender, age or years of work experience. However, significant differences in workspace spirituality were observed between males and females, and across different age groups and experience levels. Positive correlations were found between workspace spirituality and dimensions such as compassion, transcendence and meaningful work, while mindfulness showed a negative correlation. SEM results further indicated that compassion and meaningful work positively influence sustainability, while mindfulness negatively affects it. Transcendence, however, showed no significant impact. Research limitations/implications The study highlights the deep interconnection between spirituality and sustainability and how socio-demographic factors shape this relationship. It provides insights for educational institutions to foster spiritually enriching environments that not only enhance academic outcomes but also promote ethical awareness, personal growth and environmental responsibility. Originality/value This research uniquely bridges gaps between spirituality, sustainability and employee demographics, offering practical implications for creating spiritually fulfilling and sustainable workspaces in the educational sector. 2026 Emerald Publishing Limited -
Chatbot Service Quality in Banking : Analyzing Indian Banking Customer Perceptions and Influence on Customer Satisfaction and Value
Purpose: The study has two objectives: first, to determine the quality of chatbot services provided by Indian banks; second, to assess the influence of chatbot service quality variables on customer satisfaction and customer value. Research Methodology: The study used a quantitative methodology, selecting individuals at random from a group of Indian banking clients. We used a questionnaire to collect data from the selected sample as part of a causal research investigation. We made use of SPSS and Python for this analysis. Customer satisfaction and value were taken into account as the dependent variables in our study. The seven elements of service qualityfunctionality, convenience, security, design, customization, enjoyment, and assurancemade up the independent variables. Findings: According to this study, client satisfaction and value were significantly shaped by the quality of the services provided. Customers value was significantly impacted by functionality and enjoyment, and their satisfaction was greatly influenced by assurance, design, and personalization. The unexpected negative impact assurance had on customer value is noteworthy and calls for more research. Practical Implications: In the highly competitive banking industry, this research has important ramifications for banks. It highlighted how important service quality is, which led banks to give priority to customer pleasure and think about making strategic changes. Banks could obtain a competitive advantage by improving the quality of their services, improving chatbot services, and implementing a customer-centric strategy by utilizing the research findings that have been presented. Our research helped banks evolve with the needs of their customers in mind, enabling them to gain credibility, repeat business, and long-term success in the ever-changing banking services market. Originality/Value: This study examined how consumers in Indian banks perceive the value and satisfaction of chatbot services and how they use them. The study provided useful recommendations and concepts to improve the general consumer experience. 2024, Associated Management Consultants Pvt. Ltd.. All rights reserved. -
Unheard and Unseen: Exploring the Disenfranchisement of Perinatal Loss in North-Indian Men
Mental distress is recognised as common following perinatal loss. But often, existing literature and bereavement care standards focus on women, leaving a gap in understanding mens grief. This qualitative study examined the emotional experiences of males from some Northern states of India, who had experienced perinatal loss, with a focus on grief disenfranchisement. Eleven participants were interviewed using a semi-structured guide. Thematic analysis unveiled themes on the intersection of religiosity and grief, social structuring of grief patterns, gender-based grieving, inhibited expression of grief in men, disenfranchisement of grief, self-focused coping, coping with the help of others, and interpersonal barriers to emotional disclosure. The findings provide valuable insights, helping mental health practitioners better understand mens experiences of perinatal loss and develop more effective support strategies. 2024 SAGE Publications. -
Sustainability in hospitality: The pathway to destination well-being in the "City of Lakes" Udaipur
With the rising popularity and a surge in demand for the "City of Lakes" Udaipur, the lake ecosystem has become vulnerable to various anthropogenic activities and pollution. The restricted structure of hotels on the lakefront faces various challenges in maintaining environmental regulations. This chapter explores hotels on the lakeside in Udaipur, which includes heritage hotels and modern accommodations, and their sustainability practices, such as energy efficiency, waste management, water conservation, and eco-design in hospitality architecture. Best practices in Udaipur's hospitality industry are explored through observation, document analysis, and interviews. The chapter establishes how circular economy builds environmental quality while regenerating resources. The implications of the study indicate a transformation of tourism governance in Udaipur by local authorities and academicians, which indeed can contribute to achieving a destination's well-being by addressing the challenges posed by the thriving tourism economy. 2024, IGI Global. -
Crafting an experiencescape for sustainable cultural tourism: A case study of udaipur's craft village "Shilpgram"
India, known for its rich and varied cultural heritage, hosts numerous fairs and festivals as vibrant platforms to showcase its diversity. Events like the Kala Ghoda Arts Festival, Ellora-Ajanta International Festival, Surajkund Crafts Mela, Pushkar Fair, and many others celebrate the country's artistic and cultural wealth. This book chapter explores sustainable culture and heritage development in Udaipur's craft village, 'Shilpgram.' The village hosts an annual craft fair during the peak tourist season, attracting artists across India to showcase their unique crafts, folk dances, and paintings. This chapter assesses Shilpgram's feasibility as an experiencescape model using a case study method. Interviews with key stakeholders provided insight into the destination's difficulties, strengths, and best practices. The study adds to our understanding of cultural locations' responsibilities in cultural tourism by balancing historical preservation with current expectations. 2023, IGI Global. All rights reserved. -
-
Unheard and Unseen: Exploring the Disenfranchisement of Perinatal Loss in North-Indian Men
Mental distress is recognised as common following perinatal loss. But often, existing literature and bereavement care standards focus on women, leaving a gap in understanding mens grief. This qualitative study examined the emotional experiences of males from some Northern states of India, who had experienced perinatal loss, with a focus on grief disenfranchisement. Eleven participants were interviewed using a semi-structured guide. Thematic analysis unveiled themes on the intersection of religiosity and grief, social structuring of grief patterns, gender-based grieving, inhibited expression of grief in men, disenfranchisement of grief, self-focused coping, coping with the help of others, and interpersonal barriers to emotional disclosure. The findings provide valuable insights, helping mental health practitioners better understand mens experiences of perinatal loss and develop more effective support strategies. 2024 SAGE Publications. -
Catalyzing Security and Efficiency: Blockchains Integration with IoT and Cloud Computing
Blockchain technology is a system that combines a number of computer technologies, encryption, shared storage, namely intelligent contracts, consensus processes, and peer-to-peer (P2P) networks. This research project begins with a description of the architecture of blockchains, followed by a comparison of the various consensus techniques used across various blockchain implementations. This studys scope includes a thorough analysis of the entire blockchain ecosystem. Our investigation also explores the complexity of the consensus models built into different blockchain platforms. This research painstakingly dissects these elements to pinpoint crucial elements that are essential for propelling the adoption and development of blockchain technology. In conclusion, our research corrects misconceptions about blockchains expansive potential and helps to direct the development of the technology across a wide range of industries. These results are significant for determining the future direction of blockchains enduring influence. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.