Browse Items (14428 total)
Sort by:
-
Automated testbed and real-time port analysis for reconfigurable inputoutput boards
In the computational world, automation plays a vital role in every aspect. The idea of developing and testing Reconfigurable InputOutput (RIO) Boards automatically without manual interaction is a challenging task. Initially, testing was done manually which takes a lot of time and also requires human interaction. With the proposed idea one can reduce human interaction and testing time with smart automated design setup. This testing includes testing of various functionalities of the RIO boards. This can be done by testing the features of each port with its pin configuration. To be more precise, in this process an automated testbed is designed and algorithms are proposed to verify the features of each pin such as Digital Read, Digital Write, Analog Read and Analog Write of the RIO boards along with the motor pins. Thus, the proposed method makes the setup simple, without any complications by giving the instructions to perform the testing process for each board without human interaction. Results show that the proposed method can reduce time consumption 95%, human interaction by 95% and increase testing accuracy to 87%. 2020 Informa UK Limited, trading as Taylor & Francis Group. -
An energy efficient approach of deep learning based soft sensor for air quality management
Monitoring environmental pollution is emerging as a recent study area especially in urban and highly polluted industrial areas. This field deploys many chemical analysis models and data driven models through soft sensors. But bio indicators are a more feasible, cost effective and precise monitoring model, which are rarely explored. This paper is based on growth monitoring of Cryptogams, a bio indicator which is capable of directly reflecting the pollution levels in the region of growth. A novel enhanced and energy efficient deformable active contour model is introduced to trace the development of transplanted Cryptogams at various sites with diverse pollution levels. The vegetative development of Cryptogams is monitored for duration of two weeks. The proposed energy efficient contour tracing model proves its superiority in precise tracing of the Cryptogam development, thus aiding in accurate pollution monitoring. The VGG 16 architecture built using deep convolutional neural network by constructing stacks of filters. VGG 16 architecture showed high performance when compared with other existing models. The accuracy is compared with the Ant colony optimization using GVF. 2022 The Authors -
Understanding Peer Victimisation and Related Coping Strategies Among Young Adults
Peer victimisation is a term used to describe the process of an individual being bullied by other peers, physically as well as socially, which affects the victims personality, emotional functioning, behaviour, and well-being. In response, the victims adopt several coping strategies to deal with the situation. However, the experience makes an indelible mark on those who have been victims of the process. This current study aims to understand the perspectives of young adults who have experienced peer victimisation and also explore the coping strategies used by them. The study adopts a qualitative research design, based on which data was collected from young adults (n = 10) using semi-structured interviews. After a process of screening, participants were chosen using a purposive sampling method. The data collected was analysed using Interpretative Phenomenological Analysis (IPA), through which various super-ordinate themes emerged. The significant themes focus on the nature of peers, experiences of peer victimisation, risk factors leading to peer victimisation, consequences of peer victimisation, coping mechanisms, and strategies to prevent peer victimisation. The findings highlight the understanding of the repercussions of peer victimisation and emphasise the need to adopt innovative strategies, implement pre-emptive interventions, and mandate decisive measures to mitigate instances of peer victimisation. The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024. -
Integrating rod-shaped nickel molybdate@polypyrrole matrix for sustainable adsorptive removal of organic dye: Kinetics, isotherm, and thermodynamics study
Water pollution presents a significant global challenge that impacts the environment. The release of industrial effluents significantly contributes to this. Adsorption studies offer a sustainable and cost-effective solution to efficiently remove organic pollutants from water. The current study comprises a polypyrrole/nickel molybdate composite for the effective adsorption of organic dyes, such as methylene blue, from aqueous solutions. The catalyst has been comprehensively characterized using various techniques, including XRD, FE-SEM, FT-IR, HR-TEM, XPS, BET, TGA, zeta potential, and DLS analysis. Adsorption studies demonstrate up to 97% removal efficiency in 60 min. This study also evaluates the impact of various parameters, such as temperature, pH, dye concentration, and quantity of the catalyst, on the adsorption efficiency. The R2 value of 0.99 that is obtained in the kinetics study suggests the suitability of the adsorption process toward pseudo-second-order kinetics. The adsorption isotherm study reveals that the adsorption follows Freundlich's adsorption isotherm. The maximum adsorption capacity of the study is found to be 17.76 mg/g. Investigations into thermodynamic study give a ?H value of ?19.21 J/mol K, indicating the exothermic behavior, and ?G of ?6.95 KJ/mol, suggesting the spontaneity of the composite during the adsorption process. These results demonstrate the potential of the developed material as an effective adsorbent for removing organic dyes from water sources. 2023 Wiley Periodicals LLC. -
Unpacking Insurance: The Challenges and Innovations in Tying and Bundling Practices in Insurance
The insurers market share mainly depends on the channels of distribution they have adopted to make the business cost-effective. IRDAIs working paper supported the idea that the lengthier the distribution channel, the more conflict of interest there was, and it had a mediating effect. There is a chance of misrepresenting policy information, which is an outcome of that effect. In India, as per IRDAI, the incurred insurance claim ratio, the ratio of claims settlement against the total premiums received in a year, varies yearly. Even though the ratio indicates the financial performance of each sector, it can also be a benchmark for explaining the scope of the product utilization by the insured. During 202223, the ratio ranges between 72 to 86% for the general insurance companies. It also differs for the Fire, Health, motors, and marine sectors. The highest ratio is for the health sector, around 86%. At the same time, the ratio for the domestic travel insurance business is around 19%. Travel insurance is an example of bundling an insurance policy with another product. However, there is no specific information about the scope of bundling of insurance policies and the claims arising out of it. To combat these challenges, innovative solutions must be explored. One such approach is the introduction of modular insurance plans, allowing consumers to customize their coverage based on specific needs without being forced into unnecessary add-ons. AI-driven policy comparison tools can further empower consumers by offering real-time insights into the value of bundled versus standalone options. Regulatory mandates for opt-out provisions in bundled offerings can ensure greater autonomy, allowing policyholders to reject unwanted components. Additionally, the implementation of blockchain-based smart contracts can bring transparency by clearly defining coverage terms and pricing, reducing hidden costs. By adopting these solutions, the insurance sector can enhance consumer trust, encourage informed decision-making, and create a more competitive marketplace, ultimately leading to fairer and more accessible insurance options for all. The Author(s), under exclusive license to Springer Nature Switzerland AG 2026. -
Constructing healing narratives: a culturally grounded intervention for tribal women survivors of intimate partner violence in India
Intimate partner violence (IPV) profoundly disrupts womens sense of self, relationships, and belonging, with particularly severe consequencesfor marginalized and indigenous women. This paper reports findingsfrom a pilot study on the development and preliminary implementationof a culturally grounded mental health intervention for tribal women survivors of IPV in Wayanad, Kerala, India. The intervention was developed in response to the limited cultural relevance of main stream trauma-focused models in indigenous contexts and was informed by constructivist, psychodynamic, narrative, and cognitive-behavioural principles. Ten tribal women aged 1850 participated in a five-session group-based programme that integrated indigenous cultural expressionssuch as folk songs, rhythmic movement, clayart, and storytellingwith therapeutic processes aimed at meaning-making, emotional regulation, and identity reconstruction. Sessions emphasized symbolic expression and collective reflection, enabling participants to externalize traumatic experiences and renegotiate personal narratives within a culturally familiar and emotionally safe space. Qualitative reflections indicated notable shifts from shame, self-blame, silence, and social isolation toward emerging narratives of resilience, agency, and connection. Participants reported enhanced emotional expression, strengthened coping strategies, and increased community support. Overall, the findings underscore the feasibility and cultural relevance of art-based, constructivist interventions for tribal women survivors of IPV. Future research should employ larger samples and mixed-methods designs to assess long-term outcomes and adaptability across diversetribal contexts. 2025 Informa UK Limited, trading as Taylor & Francis Group. -
Cross layer design with weighted sum approach for extending device sustainability in smart cities
IoT associates with MEMS technology and various other technologies to connect smart devices globally. Providing reliable interaction between the smart devices and maintaining the battery sustainability of smart devices are the major demand since most of the IoT devices are run by a battery source. Device sustainability is the prime concern in most the IoT applications such as smart cities, e-health, smart grid, etc. Thus, we have come up with a cross layer design that improves the device sustainability and lifetime of the IoT networks in smart cities. In the proposed design, physical layer and data link layer information is utilized by the network layer to explore the energy efficient communication among the IoT devices, since 70% - 80% of device energy is utilized for its communication. Cross-layer design can be an optimal solution to enhance the modalities of the wireless network. The Weighted sum approach is used in the proposed model which is an effective computation method to analyze and identify the routing metrics that are associated with energy efficiency. Based on the routing metric analysis (Table 2) it is found that a particular combination of routing metrics performs effective power utilization (by attaining optimal transmission power) and achieves sustained device lifetime. From the obtained results, it is noticed that the MTPM + ETP + ND routing metric combination outperforms all the other combinations, and designing the cross-layer mechanism with the weighted sum approach computation gives better network performance without compromising the device lifetime. In smart cities applications, the device scalability is huge, since frequent battery replacement is a very difficult task. Therefore, we come up with an efficient network model that is more suitable to maintain device sustainability in smart cities. 2021 Elsevier Ltd -
Labour migration, the Arabian Gulf, and the expanding territorial imagination in Malayalam cinema
Mainstream Malayalam cinema of the south Indian state of Kerala has, for the most part, attempted to sidestep the significance of Gulf migration to the regions development. Part of the reason for this historical neglect has been the prevalence of a particular hegemonic vantage point within the films that has centralized the narratives of the landed elites in Kerala, eliding the various historically marginalized communities within the state. This article engages with a recent development within the film industry. It examines how Gulf migration has shaped the affective dimensions and expanding territorial imagination of the New Malayalam Cinema, which has positioned labour migration as one of its central thematic concerns. It is argued that this shift was made possible by the displacement of the universalized territorial imagination of the landed elites in the state that dominated its film industry for most of its history. Subsequently, this article will closely study how director Zakariya places his debut film Sudani from Nigeria (2018) within this new cinematic category, and will demonstrate how he portrays the region of rural Malappuram in north Kerala as a nexus of various migrant experiences, crucially invoking an underlying older order of cosmopolitanism prevalent in the region, fuelled partly by the history of Gulf migration and partly by a tradition and history of migration and transnationalism that predates the formation of the Indian state. The Author(s) 2023. -
Enhanced image encryption using fractional-order chaotic systems and neural network-based optimization for secure multimedia applications
The rapid expansion of multimedia data in fields like healthcare and finance necessitates robust image encryption to protect sensitive content. Conventional chaotic encryption, based on integer-order systems, is hindered by restricted key spaces (e.g., and suboptimal parameter choices, exposing vulnerabilities. This work introduces an innovative encryption method that merges a fractional-order chaotic Logistic map with neural network optimization to overcome these shortcomings and enhance security. Utilizing the Grunwald-Letnikov derivative, the fractional-order Logistic map produces a complex, unpredictable sequence for encryption. A feedforward neural network fine-tunes parameters (,), elevating the Lyapunov exponent from 0.5032 to 0.6540, signifying heightened chaos. This integration harnesses fractional-order memory effects and neural network adaptability, surpassing traditional integer-order encryption constraints. The method achieves a key space of, entropy of 7.9962, and horizontal correlation of 0.0028. Parameter sensitivity tests show significant output variation with minor changes. Security analysis yields NPCR at 99.60% and UACI at 33.45%. Neural network training achieves a low mean squared error of 0.0032912 by epoch 100, with high correlation. Encryption of 256256 images in 0.21 seconds and 720p video at 41.67 fps (0.024 s/frame) supports real-time applications. By combining fractional-order chaos with machine learning, this approach delivers superior image encryption, addressing integer-order system limitations. It provides a scalable framework for secure multimedia communications. Future efforts will extend the technique to color images and video, incorporating advanced machine learning for greater resilience. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2026. -
Understanding Peer Victimisation and Related Coping Strategies Among Young Adults
Peer victimisation is a term used to describe the process of an individual being bullied by other peers, physically as well as socially, which affects the victims personality, emotional functioning, behaviour, and well-being. In response, the victims adopt several coping strategies to deal with the situation. However, the experience makes an indelible mark on those who have been victims of the process. This current study aims to understand the perspectives of young adults who have experienced peer victimisation and also explore the coping strategies used by them. The study adopts a qualitative research design, based on which data was collected from young adults (n = 10) using semi-structured interviews. After a process of screening, participants were chosen using a purposive sampling method. The data collected was analysed using Interpretative Phenomenological Analysis (IPA), through which various super-ordinate themes emerged. The significant themes focus on the nature of peers, experiences of peer victimisation, risk factors leading to peer victimisation, consequences of peer victimisation, coping mechanisms, and strategies to prevent peer victimisation. The findings highlight the understanding of the repercussions of peer victimisation and emphasise the need to adopt innovative strategies, implement pre-emptive interventions, and mandate decisive measures to mitigate instances of peer victimisation. The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024. -
Digital Pathways to Social and Emotional Learning:Leveraging Technology for Holistic Student Development
This chapter explores how digital tools can improve Social and Emotional Learning (SEL) and help develop students holistically. It looks at how educational technology can fall within three distinct categories of SEL: technology-enhanced gamified learning, online collaboration spaces, and classroom-based Artificial Intelligence (AI)-driven feedback and evaluation. This chapter emphasizes using interactive approaches that foster self-awareness, empathy, responsible decision-making, and interpersonal skillsusing data-driven approaches in order to make the student more aware of their own learning. This chapter discusses the benefits and challenges; the equity issues; and provides tangible ideas and strategies for educators and policy-makers. By connecting the principles of SEL with digital innovations, the chapter demonstrates ways that we can create meaningful, richer, inclusive, and emotionally safe learning conditions for students in both formal, and informal settings. 2026 by IGI Global Scientific Publishing. All rights reserved. -
Mainstream tradition and exclusive traditions : Study of Kongu Folk Epic Annanmar Kathai /
International Journal of Social Science and Humanities Research, Vol.3, Issue 3, pp.294-298, ISSN No: 2348-3164 (Online) 2348-3156 (Print) -
Organic growth of folk epics : Ownership and contestation of tamil folk epic AnnanmarKathai ( Elder brothers' story) /
International Journal Of Humanities and Social Science Invention, Vol.4, Issue 8, pp.299-308, ISSN No: 2319-7722 (Online) 2319-7714 (Print) -
Tailor-Made Polyelectrolyte Multilayers for the Removal of Obidoxime from Water in Microfiltration Process
Abstract: The aim of this study was to develop and review the properties including removal efficacy of novel polyelectrolyte based multilayers against a pharmaceutical, obidoxime (OBD) from water. After examining a wide range of bilayer pairs based on different polyelectrolytes, the layer-by-layer (LbL) modification of polyamide microfiltration membrane with a uniform coating of poly(diallyldimethylammoniumchloride) (PDAC) and poly(sodium styrene sulfonate) (PSS) multilayers was found to be effective in its removal. The characterization of the bilayer pair was done with analytical instruments like UV-vis spectroscopy, ATR-FTIR, spectroscopic ellipsometry, TGA, SEM and AFM. The characterization of bilayer pairs demonstrated the stability and integrity of bilayer pair. The removal efficiency of bilayer buildup was analyzed by adjusting different assembly conditions and other filtration parameters. The maximum removal rate by the bilayer was 99.26% for 7 bilayer with average permeate flux of 6.19 m3/m2 day. These bilayers exhibit stable rejection properties under various applied conditions including change in pH, presence of anions, and macromolecules etc. suggesting its potential rejection application. The major factors that facilitate the rejection are found to be hydrophilic interaction and steric factor. The present study validated the application of polyelectrolyte modified microfiltration membranes as a potentially feasible and promising method for the removal of obidoxime residues from water matrix. 2020, Pleiades Publishing, Ltd. -
Exchange rate volatility and export growth in India: An ARDL bounds testing approach
Decision Science Letters Vol.2, Issue 3, pp.191-202 ISSN no. 1929-5812 -
This is My Story: Role of Tibet Museum in Preserving Memory in Exile
Tibetans, driven out of their homeland, have been living a life of exile since 1959. As they grapple with the challenges of preserving, shaping, transferring, and negotiating collective and cultural memories of a distant homeland, the role of the Tibet Museum at Dharamshala, Himachal Pradesh (the seat of the Tibetan government in exile) is pivotal. This chapter stems from an interest in understanding how the Museum serves aswhat Pierre Nora referred to asa site of memory for the Tibetans in exile to preserve the intergenerational memory. It tries to bring together the concepts of exile, culture, memory, and the institution of Tibet Museum to locate how it becomes a site of memory. How do the 9000-square-foot museum's permanent and temporary exhibitions institutionalise the memory of the imagined nation in exile? Of particular focus is the permanent exhibition titled I am a Tibetan, This is My Story housed at the Museum. 2025 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Molecular detection of Kudoa septempunctata (Myxozoa: Multivalvulida) in sea water and marine invertebrates
The exportation of cultured olive flounder (Paralichthys olivaceus) in Korea has been recently decreasing due to the infections with a myxozoan parasite Kudoa septempunctata, and there is a strong demand for strict food safety management because the food poisoning associated with consumption of raw olive flounder harbouring K. septempunctata has been frequently reported in Japan. The life cycle and infection dynamics of K. septempunctata in aquatic environment are currently unknown, which hamper establishment of effective control methods. We investigated sea water and marine invertebrates collected from olive flounder farms for detecting K. septempunctata by DNA-based analysis, to elucidate infection dynamics of K. septempunctata in aquaculture farms. In addition, live marine polychaetes were collected and maintained in well plates to find any possible actinosporean state of K. septempunctata. The level of K. septempunctata DNA in rearing water fluctuated during the sampling period but the DNA was not detected in summer (June-July in farm A and August in farm B). K. septempunctata DNA was also detected in the polychaetes Naineris laevigata intestinal samples, showing decreased pattern of 40 to 0%. No actinosporean stage of K. septempunctata was observed in the polychaetes by microscopy. The absence of K. septempunctata DNA in rearing water of fish farm and the polychaetes N. laevigata intestinal samples during late spring and early summer indicate that the infection may not occur during this period. N. laevigata was suspected as the possible alternate invertebrate host of K. septempunctata, but the actinosporean stage was not found by well plate method and further studies will be necessary. This research provides important baseline information for understanding the infection dynamics of K. septempunctata in olive flounder farms and further establishment of control strategies. 2017 The Author(s). -
MXene Composite-Based Nanogenerators and Applications
Energy harvesting modules are becoming increasingly vital for developing autonomous, self-powered microelectronic devices. MXenes, a class of two-dimensional (2D) transition metal carbides/nitrides, have recently gained attention as promising candidates for energy applications due to their excellent electrical conductivity, large specific surface area, and tunable properties. MXene-based nanogenerators (NGs) represent a cutting-edge advancement in energy harvesting technology, harnessing the unique properties of MXenes to enhance performance. Incorporating MXenes into composite materials facilitates efficient ion/electron transport and increases the surface charge density, leading to higher output performance. Additionally, MXenes abundant functional groups and tunable surface properties enable strong interactions with polymer matrices, resulting in composites with superior mechanical strength and flexibility. This book chapter delves into the various properties of MXenes, highlighting their importance in energy harvesting technology and their inherent piezoelectric properties. It also covers using MXene-based composite materials in NG technology, focusing on MXenepolymer, MXenemetalorganic framework (MOF), and MXenecarbon composites. Additionally, the chapter discusses the applications of these composite-based NGs in various fields, including wearable technology and biomedical devices. Finally, the chapter summarizes the recent advancements in this field and future aspects in enhancing the use of MXene in energy harvesting technology. 2026 Taylor & Francis Group, LLC. -
Rain of Life, Rain of Music: Music as Life Power in Indian Thought and Contemporary Musical Traditions
Conceived as a life force, rain has a significant place in Indian thought. Sanskrit and vernacular literary and religious texts, as well as visual arts, emphasise its auspiciousness and importance in human life. Additionally, through the use of poetical images and metaphors, these texts and images associate rain with music and identify thunder with drums. Through the analysis of compositions from the repertoire of different drums such as the dhrupad pakh?vaj, the mi??vu of K?tiy???a? Sanskrit theatre, and the ritual music of Brahmanical temples of Kerala, this article studies the association of drumming with rain as a symbol of life force, consciousness and enlightenment. 2022 South Asian Studies Association of Australia. -
Human Consumption of Digital Synthetic Outputs: Cross Checking Real or Fake Information
AI-Generated content, deepfakes and synthetic media, people are increasingly wondering how they can discern the difference between genuine and fake. People may become confused, change their minds, and make unwise decisions that put their safety at danger when they see false information and manipulated pictures and videos, such AI-generated deepfakes. AI detection techniques, and teaching people how to read and write have all helped with these difficulties. Blockchain technology analyzes the digital history of anything to make sure it is authentic. Two significant steps toward making things more open are regulatory frameworks and ethical AI practices. Users should be vigilant and examine a lot of trustworthy sources, including reverse image search or deepfake detectors. The influence of incorrect information will be lessened if individuals are more informed and encouraged to utilize internet resources properly. To use another metaphor, let's make sure that people know what they're talking about when we speak about synthetic things. 2026, IGI Global Scientific Publishing. All rights reserved.