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Reliable monitoring security system to prevent MAC spoofing in ubiquitous wireless network
Ubiquitous computing is a new paradigm in the world of information technology. Security plays a vital role in such networking environments. However, there are various methods available to generate different Media Access Control (MAC) addresses for the same system, which enables an attacker to spoof into the network. MAC spoofing is one of the major concerns in such an environment where MAC address can be spoofed using a wide range of tools and methods. Different methods can be prioritized to get cache table and attributes of ARP spoofing while targeting the identification of the attack. The routing trace-based technique is the predominant method to analyse MAC spoofing. In this paper, a detailed survey has been done on different methods to detect and prevent such risks. Based on the survey, a new proposal of security architecture has been proposed. This architecture makes use of Monitoring System (MS) that generates frequent network traces into MS table, server data and MS cache which ensures that the MAC spoofing is identified and blocked from the same environment. 2019, Springer Nature Singapore Pte Ltd. -
Reliable transmission of information through quantum encryption processes by applying quantum gate /
Patent Number: 201741042136, Applicant: Sreenidhi Institute of Science and Technology.
Present invention presents Quantum encryption and decryption processes for variable length of information by applying quantum gates. The present invention offers reliable transmission of information using quantum gates which based on inviolable principles of quantum mechanics and quantum computing. The encryption authorizes authenticity, confidentiality and integrity services of the information as well as communicating entities. -
Religion, society and state in India: A legal perspective
[No abstract available] -
Religions, Women and Discourse of Modernity in Colonial South India
Colonial education and missionary discourse of modernity intensified struggles for continuity and change among the followers of Hinduism and Christianity in nineteenth century India. While missionary modernity was characterised by an emphasis on sociocultural changes among the marginalized women through Christian norms of decency, orthodox Hindus used traditional cultural practices to confront missionary modernization endeavours. This article posits that the discourse of missionary modernity needs to be understood through the principles of Western secular modernity that impelled missionaries to employ decent clothing as a symbol of Christian femininity. It argues that missionary modernity not only emboldened the marginalized women to challenge their ascribed sociocultural standing but also solidified communitarian consciousness among the followers of Hinduism and Christianity substantially. Even though Travancore state defended the entrenched customary practices, including womens attire patterns, with all its potency through authoritative proclamations, it could not dissuade missionaries from converting the marginalized women to missionary modernity. 2022 by the author. -
Religious Freedom in the Age of AI: A Constitutional Law Perspective
This chapter examines the developing linkage between religious freedom and artificial intelligence (AI) in the field of constitutional law. As AI systems play a growing role in filtering access to information, censoring speech, and shaping governance, they pose remarkable opportunities while also constituting major challenges to the freedom of religion or belief (FoRB). The chapter considers how AI can improve religious expression and inter- religious dialogue, and then it identifies concerns, such as algorithmic bias, digital censorship, and surveillance of religious groups. It also examines constitutional structures and case laws, with special attention to the balance between technological innovation and fundamental rights protection. By promoting ethically designed AI systems, inclusive governance and effective legal protections, this chapter suggests elements of such a normative blueprint to ensure that religious freedom continues to be affirmed in the digital era. It ends with future- oriented approaches and how AI regulation could be aligned with FoRB standards globally. 2026 by IGI Global Scientific Publishing. All rights reserved. -
REMAP: Determination of the inner edge of the dust torus in AGN by measuring time delays
Active galactic nuclei (AGN) are high luminosity sources powered by accretion of matter onto super-massive black holes (SMBHs) located at the centres of galaxies. According to the Unification model of AGN, the SMBH is surrounded by a broad emission line region (BLR) and a dusty torus. It is difficult to study the extent of the dusty torus as the central region of AGN is not resolvable using any conventional imaging techniques available today. Though, current IR interferometric techniques could in principle resolve the torus in nearby AGN, it is very expensive and limited to few bright and nearby AGN. A more feasible alternative to the interferometric technique to find the extent of the dusty torus in AGN is the technique of reverberation mapping (RM). REMAP (REverberation Mapping of AGN Program) is a long term photometric monitoring program being carried out using the 2 m Himalayan Chandra Telescope (HCT) operated by the Indian Institute of Astrophysics, Bangalore, aimed at measuring the torus size in many AGN using the technique of RM. It involves accumulation of suitably long and well sampled light curves in the optical and near-infrared bands to measure the time delays between the light curves in different wavebands. These delays are used to determine the radius of the inner edge of the dust torus. REMAP was initiated in the year 2016 and since then about one hour of observing time once every five days (weather permitting) has been allocated at the HCT. Our initial sample carefully selected for this program consists of a total of 8 sources observable using the HCT. REMAP has resulted in the determination of the extent of the inner edge of the dusty torus in one AGN namely H0507+164. Data accumulation for the second source is completed and observations on the third source are going on. We will outline the motivation of this observational program, the observational strategy that is followed, the analysis procedures adopted for this work and the results obtained from this program till now. 2019 Societe Royale des Sciences de Liege. All rights reserved. -
REMEMBERING PLACE: The Temporality of Trauma in Rudraprayag after the 2013 Flash Floods
The 2013 flash floods reproduced an everyday that was textural, the returning past of the event combined with gestures from within the everyday, to disorient survivors of the event. I attempt in this essay to analyze the return of the event as producing psycho-spatial affects, drawn from the psyches own propensity to return while repressing the event that causes the return, described within psycho-analytic literature as afterwardsness. Such afterwardsness is conditioned by the sheer incomprehensibility of environmental change that took place in just three days in the Mandakini Valley between June 15 and June 17, 2013. Following the flood, delays with the recovery process, and particularly with the process of compensation, exacerbate this trauma, leading to an extension of the temporality of trauma infinitely forward. (2024), (American Anthropological Association). All rights reserved. -
Remote and Cross-Cultural Training of Research Assistants Abroad to Conduct Neuropsychological Tests: Lessons Learned
There are no published guidelines regarding remotely training research assistants (RAs) to conduct neuropsychological tests. With technological advances allowing for increased international collaboration within the medical and research communities, challenges often arise from such partnerships, including linguistic, cultural, and physical barriers. A notable challenge for supervising neuropsychologists in international projects is the physical distance from RAs, sites, and materials, making training/supervision of RAs and monitoring test data quite challenging. In the context of a research collaboration between neuropsychologists based in New York and RAs based in Kerala, India, as part of the Kerala-Einstein Study, we explore the obstacles of remotely training RAs and maintaining neuropsychological data integrity. We share lessons learned and systems developed to optimize remote, multilingual, cross-cultural training of RAs in administration/scoring of neuropsychological tests. One-on-one video training sessions mitigated logistical problems (i.e., time differences, internet connection, language comfort). Individualized training in scoring and a centralized individual to double-score protocols addressed quality assurance of test data. Close collaboration between our teams was necessary for cultural competency, particularly when building an appropriate test battery, creating and translating manuals, and adapting protocols. Finally, frequent and ongoing communication channels ensured excellence in study design, information gathering, and data quality. Future studies should continue highlighting strategies for remotely training psychometrics/RAs in neuropsychological administration. 2025 The Author(s). Published by Oxford University Press. All rights reserved. -
Remote Diabetic Retinopathy Screening with IoT and Machine Learning on Edge Devices
This study presents a novel method of screening for diabetic retinopathy using edge devices the Internet of Things and machine learning. The developed remote screening system ensures broad accessibility as well as affordability by overcoming geographical barriers. While edge computing maximizes real-time analysis, the integration of sophisticated machine learning algorithms improves diagnostic accuracy. The investigation of socio-technical subtleties is guided by the interpretivist philosophy. The outcomes show a strong architecture, effective models, as well as revolutionary effects on accessibility. A critical assessment finds the good points and continuous improvements. Suggestions place a strong emphasis on scaling issues and the ongoing improvement of machine learning models. In order to secure data management and keep up with changing healthcare needs, future research suggests combining blockchain technology with sophisticated imaging modalities. This study advances early detection, enhances accessibility to healthcare, and advances remote screening technologies. 2023 IEEE. -
Remote sensing data analyzed by machine learning to predict structural changes
Natural disasters can cause extensive structural damage, necessitating rapid and reliable post-event assessment to support emergency response and recovery planning. Although several methods exist for pixel-level damage classification using post-disaster imagery, translating these outputs into meaningful, building-wise assessments remains challenging. Building-level damage prediction provides more interpretable insights, enabling a clearer estimation of the severity of impact on individual structures and a comprehensive understanding of the overall destruction. This information is crucial for quantifying damage magnitude and prioritizing relief operations. This paper proposes Damage Estimation U-Net (DE-U-Net), a deep learning framework designed to estimate structural damage across four classes: No Damage, Minor Damage, Major Damage, and Destroyed. The model is trained on the xBD dataset to learn representative damage patterns. DE-U-Net is developed by integrating a modified Siamese U-Net with a Damage Ratio Analyzer (DRA) algorithm for building-level damage conversion. The DRA algorithm comprises three components: (1) Connected Component Analysis (CCA) to transform pixel-level predictions into building-level predictions (2) size filtering to remove noise and eliminate small artifacts, and (3) a damage estimation module to compute the number of pixels corresponding to each damage class per building. Model performance is evaluated using standard metrics, including accuracy, precision, recall, and F1-score. The Author(s) under exclusive licence to The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2026. -
Remote work realities: A comprehensive study on individual choices and task accomplishments
The global work landscape has undergone a paradigm shift with the widespread adoption of telecommuting, a transformation further accelerated by the COVID- 19 pandemic. This research delves into the intricate dynamics of telecommuting, focusing on the impact of individual characteristics on the choice to work remotely in the post- pandemic era. It reveals that gender significantly influences telecommuting preferences, while age and years of experience do not show a discernible impact. Beyond individual factors, the study examines how telecommuting attitudes affect task accomplishment, highlighting substantial effects on goal attainment and underscoring the need to understand work arrangement's complexities. Additionally, the research explores the diverse strategies employed by employers and employees, illustrating successful approaches to remote work. Ultimately, this study navigates the evolving telecommuting landscape, offering insights into challenges and achieve-ments, and provides a foundation for future research on telecommuting's impact on work practices and individual well- being. 2024, IGI Global. All rights reserved. -
Removal of arsenic using ecofriendly egg shell and black toner powder
This work is primarily focused on the study of the possible usage of ecofriendly black toner powder and egg shell powder as adsorbent material for the removal of arsenic from industrial effluent. Batch experiments were conducted by varying the concentration, size of the reinforcement particles, time and its pH value. The optimal pH for the effective removal of arsenic was found to be 7. The size of the particles played a significant role in removing the arsenic. Smaller size particles outperformed the bigger size particles and the joint action of intra-particle transfer and pore diffusion mechanism played a major role in the removal of arsenic. 2022 -
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. -
Removal of cadmium heavy metal ion using recycled black toner powder
The presence of heavy metal ions in the industrial effluents is considered as a major threat to humans and to the ecosystem. Among the available various types of heavy metal ions, cadmium is widely used in many industrial applications and is also considered as the hazardous heavy metal ion even in low level of concentration. In this present work, an attempt has been made to utilize the recycled black toner powder as a low cost adsorption material in the removal of toxic cadmium heavy metal ion. Batch adsorption technique was used for the removal of cadmium heavy metal ion. The experiments were conducted by varying the pH values from 3, 5 and 7, contact time from 15, 30, 45, 60 and 75 min and the dosage of the adsorbent from 2, 4, 6 and 8 g/L. Experimental results shows that the cadmium heavy metal ions were effectively removed for pH value of 5 and increasing the adsorbent dosage doesn't aid in increasing the adsorption rate. Rapid adsorption of cadmium heavy metal ions was observed only during the first 30 min of contact time and it reached equilibrium after contact time of 45 min. 2021 -
Removal of high concentration Cr (VI) through the synergetic effect of CuInS?/Ni-MoS?/NrGO Z-scheme heterojunction and Deinococcus radiodurans R1 nano-biohybrid system
The efficient removal of high-strength hexavalent chromium [Cr (VI)] from industrial effluents continues to be a significant challenge. This study introduces a nano-biohybrid approach that combines a CuInS?/Ni-MoS?/NrGO Z-scheme heterojunction with live biomass of Deinococcus radiodurans R1 under anaerobic conditions. This combination aims to enhance the reductive sorption of Cr (VI). A Z-scheme heterojunction composed of CuInS?, Ni-MoS?, and NrGO was synthesized using the hydrothermal technique. The structural and morphological properties of the synthesized nanomaterials (NMs) were examined through various techniques, including XRD, FT-IR, UV-VIS DRS, FE-SEM, EDX, PL, XPS, Raman spectroscopy, and Mott-Schottky analysis. The CuInS?-Ni-MoS?-NrGO nanocomposite achieved nearly 97% removal of Cr (VI) at an initial dose of 50 mg/L within 3 h, which is almost three times more effective than the individual NMs CuInS?, Ni-MoS?, and NrGO. Further, applying the nano-biohybrid synergetic system enabled complete removal of Cr (VI) even at 200 mg/L, enhancing its removal capacity by 2.5-fold higher than the bare nanocomposite. The Langmuir isotherm model fits well with the experimental data, confirming homogeneous monolayer adsorption with a maximum Cr (VI) reductive sorption capacity of 333 mg/g. The intra-particle diffusion model analysis indicated that external mass transfer plays a dominant role in controlling the overall Cr (VI) sorption process. Furthermore, kinetic studies revealed that the Cr (VI) removal follows a pseudo-second-order model, suggesting chemisorption as the primary mechanism. The nanocomposite exhibited strong reusability, maintaining 86.5% Cr (VI) removal efficiency over 4 cycles. These results highlight the potential of nano-biohybrid systems as an efficient strategy for Cr (VI) remediation from contaminated wastewater. 2026 Elsevier B.V. -
Removal of Occlusion in Face Images Using PIX2PIX Technique for Face Recognition
Occlusion of face images is a serious problem encountered by the researchers working in different areas. Occluded face creates a hindrance in extracting the features thereby exploits the face recognition systems. Level of complexity increases with changing gestures, different poses, and expression. Occlusion of the face is one of the seldom touched areas. In this paper, an attempt is made to recover face images from occlusion using deep learning techniques. Pix2pix a condition generative adversarial network is used for image recovery. This method is used for the translation of one image to another by converting an occluded image to a non-occluded image. Webface-OCC dataset is used for experimentation, and the efficacy of the proposed method is demonstrated. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Removal of Struvite in Wastewater Using Anammox Bacteria
Struvite precipitation in wastewater has proved to be an effective method in treating wastewater and has helped in the recovery of ammonia nitrogen and phosphate phosphorus. Nutrient recovery from wastewater has become a new trend attracting the interests of several researchers. Extraction of the nutrients based on struvite crystals as nutrition sources from wastewater has been acknowledged as a need of the hour solution to tackle the water pollution issue. This review focuses on the featured characteristics of struvite as a chemical fertilizer for plant and the struvite formation process related to physiochemical conditions in wastewaters. In the present work, struvite precipitation in the actual swine wastewater is studied by strategically controlling aeration, pH, and mixing of anammox bacteria. The effect of organic solids in the wastewater has also been studied. Laboratory experiments were conducted by optimizing pH value. pH was found to be an important parameter in the simultaneous removals of ammonium nitrogen and orthophosphate. This work reveals that the struvite removal from wastewater can be reduced to 80% using anammox bacteria. Springer Nature Singapore Pte Ltd. 2022. -
Rendering support for the empowerment of rural women to overcome life impediments
The socio-cultural and economic landscape of rural India is not totally conducive for women. Surveys and reports in this regard would suggest the continuous existence of gender-based discrimination and its negative effects on the status and livelihood of rural women. Recognizing this situation, the Centre for Social Action (CSA) has pioneered its efforts to sensitize and involve youth (especially students) in the mitigation of rural issues and has been supporting women in select villages by promoting Self Help Groups (SHGs). These SHGs, in turn, organize capacitybuilding and empowerment programmes for the women to enhance their livelihood and socio-economic well-being. The present study is designed to understand the impact of CSA's intervention on the status and livelihood of women in the select project sites. Towards this end, we collected data from a sample of 150 women beneficiaries of CSA's initiative using a structured interview schedule. The study used a mixedmethod design. The study's outcome indicates a positive correlation between women's participation in CSA initiatives and their status and livelihood improvements. The results are encouraging that they would help one formulate effective models similar to this one for the empowerment of women. 2024 Nova Science Publishers, Inc. -
Rendering View of Kitchen Design Using Autodesk 3Ds Max
The method of creating a 3D kitchen design model is clarified, including setting up the sources, working with editable poly, information in the inside of the kitchen design, and applying turbo-smooth and symmetry modifier. The way materials are introduced to the model which is defined in addition to lighting the environment and setting up the renderer. Rendering methods and procedures are also defined. Multiple images were drawn to create the final rendering. The goal of our research is to produce a kitchen design that uses materials to enhance models. Cylinder, sphere, box, plane, and splines were the shapes employed. Editable poly, editable spline, and UVW map are the modifiers. Finally, we enhanced the model using a material editor and target lighting. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Renewable energy integration: Storage solutions for a sustainable future
This chapter describes how energy storage technologies provide critical services for the integration of renewable energy sources, as those sources are variable and intermittent (e.g. solar and wind). It reviews different types of storage solutions - electrochemical, mechanical and thermal - including their relative advantages and drawbacks, as well as their appropriateness for various applications. It highlights the importance of adopting different energy storage types that are tailored to different energy needs. Global Sustainability and Energy Storage: Discussing the broader implications of energy storage systems for global sustainability, such as reducing reliance on fossil fuels, lowering carbon emissions, and improving access to energy in underserved regions. Energy storage technologies are crucial to a reliable, sustainable, low- carbon energy future. 2025, IGI Global Scientific Publishing. All rights reserved.