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Machine Learning Based Time Series Analysis for COVID-19 Cases in India
The World Health Organization declared the Coronavirus Infection, or COVID-19, to be widespread. One of the most appropriate methodologies for COVID-19 is time series analysis. The most appropriate technique for COVID-19 is time series analysis. It can be applied to Recognizing Information Patterns and Predicting Insights. The paper summarises the components of time series using the COVID-19 dataset for India as an example of one of the most important methodologies in predictive analytics. Time series models are chosen because they can predict future outcomes, comprehend prior outcomes, provide strategy recommendations, and much more. These common goalrists of temporal arrangement modelling do not differ significantly from those of cross-sectional or board data modelling. Machine Learning may be a well-known fact that it is an excellent technique for imagining, discourse, and standard dialect management for a large clarified accessible dataset. The results for confirmed, recovered, and death cases are presented in this study. 2022 IEEE. -
Haptics: Prominence and Challenges
Derived from a Greek word meaning sense of touch, Haptic is a communication technology which applies tactile sensation for human-computer interaction with computers. Haptic technology, or haptics, is a tangible feedback technology that takes benefit of a users sense of touch by applying forces, sensations, or motions to the user. These objects are used to methodically probe human haptic capabilities, which would be complex to achieve without them. This innovative research tool gives an understanding of how touch and its core functions work. The article will provide a detailed insight into the working principles, uniqueness of the technology, its advantages and disadvantages along with some of its devices and notable applications. Future challenges and opportunities in the field will also be addressed. 2020, Springer Nature Switzerland AG. -
Blockchain based emanative unassailable system: Use cases and repercussions /
International Journal of Recent Technology And Engineering, Vol.7, Issue 6S5, pp.540-543, ISSN No: 2277-3878. -
Climate-Smart Livelihood - A Case Study of Dodaballapura Taluk of Bangalore Rural District
More than a billion farmers around the world are on the frontier of climate change. These farmers' livelihoods are directly and indirectly affected by the impact of climate change. Climate smart livelihood explains the practices in agriculture sector which sustainably contributes to productivity and income. This study tries to explore the adaptation of climate smart livelihood techniques by the farmers in the Doddaballapur taluk of Bangalore rural district. The data was collected primarily from the five villages and 50 households of Doddaballapur taluk. The survey revealed that 81.67% of the respondents faced problems during adaptation of climate smart agriculture was due to poor support of local and national authorities with climate related issues and ranked it one of the major constraints. This was followed by lack of financial constraints, lack of knowledge about adaptive practices (78.50%), non-availability of agriculture inputs in time (76.17%), lack of education about the adaptation strategies (75.33%), unavailability of new technologies (78.83%), higher cost of the agricultural inputs used for the practices (71.17%), lack of improved communication facility about the climate change (71 %), migration of youth due to urbanization and better employment (70.83%), lack of knowledge about post-harvest technology (68.83%), lack of awareness about climate change issues (59.83 %). The study reveals that as most farmers believe they have low capacity to adapt to climate-smart agriculture due to lack of availability of resources. Government can help farmers through National Agricultural Extension Project (NAEP), Krishi Prashasthi, etc. 2022 - Kalpana Corporation. -
Measuring Indian Blackbuck Antilope cervicapra (Mammalia: Cetartiodactyla: Bovidae) abundance at Basur Amruth Mahal Kaval Conservation Reserve, Chikkamagaluru, southern India
Grasslands are among the most critically endangered ecosystems in the tropics, but they are often treated as wastelands and conservation efforts are seldom directed towards these landscapes. The Blackbuck Antilope cervicapra is a large wild herbivore found in most grassland ecosystems across India. Despite their critical role in their trophic web, there are no reliable estimates of Blackbuck populations from their geographic range that takes detection probability into consideration. In this study, we conducted field surveys to estimate Blackbuck density in Basur Amruth Mahal Kaval Conservation (BAMKCR) with an area of 7.36km2 in southern India. We surveyed Blackbucks for a week in July 2014 along straight line transects between 09:00-12:00 hr and used the distance sampling approach to address the imperfect detection. A total of three transect lines of lengths 3.01km, 2.4km and 1.2km were sampled for seven temporal replicates. With an effort of 46.27km, 56 sightings of Blackbucks were recorded that was analyzed using the program DISTANCE. With a detection probability of 0.58 (0.053 SD) the estimated density of Blackbuck was 26.23 (6 SD) individuals/km2. The derived abundance estimate was 193 (c. 148-238) individuals in the study area. Our results show implications of a statistically robust design that accounts for imperfect detection. It provides an insight into a resident population of Blackbucks in a dynamic and fragile habitat. Blackbuck density estimate from this study sets the background for periodic monitoring of their populations, examination of the impacts of habitat modifications and gauge long-term viability of the grassland habitat in BAMKCR. Sagar & Antoney 2017. -
Internet of things: Service-oriented architecture opportunities and challenges
Internet of Things is now a subject that is increasingly growing on both the job and modern devices. It is a concept that maybe not just get the potential to influence how we live but in addition how we work. Intelligent systems in IoT machines in many cases are used by various events; consequently, simultaneous information collection and processing are often anticipated. Such a characteristic that is exclusive of systems has imposed brand new challenges towards the designs of efficient data collection processes. This article is to be discussing various layers in Internet of things. Those layers are sensing layer, network layer, service layer and application layer. Various data processing techniques are integrated along with data filtering and data conversion. Protocol transformation is also feeling the major challenges faced by enterprises wanting to shift to the style in brand new technology. Springer Nature Singapore Pte Ltd. 2020. -
Search for low-mass objects in the globular cluster M4. I. Detection of variable stars
With every new discovery of an extrasolar planet, the absence of planets in globular clusters (GCs) becomes more and more conspicuous. Null detection of transiting hot Jupiters in GCs 47 Tuc, ? Cen, and NGC 6397 presents an important puzzle, raising questions about the role played by cluster metallicity and environment on formation and survival of planetary systems in densely populated stellar clusters. GCs were postulated to have many free-floating planets, for which microlensing (ML) is an established tool for detection. Dense environments, well-constrained distances and kinematics of lenses and sources, and photometry of thousands of stars simultaneously make GCs the ideal targets to search for ML. We present first results of a multisite, 69-night-long campaign to search for ML signatures of low-mass objects in the GC M4, which was chosen because of its proximity, location, and the actual existence of a planet. M4 was observed in R and I bands by two telescopes, 1 m T40 and 18-inch C18, of the Wise Observatory, Tel Aviv, Israel, from 2011 April to July. Observations on the 1 m telescope were carried out in service mode, gathering 12 to 48 20 s exposures per night for a total of 69 nights. C18 observations were done for about 4 hr a night for six nights in 2011 May. We employ a semiautomated pipeline to calibrate and reduce the images to the light curves that our group is developing for this purpose, which includes the differential photometry package DIAPL, written by Wozniak and modified by W. Pych. Several different diagnostics are employed for search of variability/transients. While no high-significance ML event was found in this observational run, we have detected more than 20 new variables and variable candidates in the M4 field, which we present here. 2016. The American Astronomical Society. All rights reserved. -
Long-term optical and infrared variability characteristics of Fermi blazars
We present long-term optical and near-infrared flux variability analysis of 37 blazars detected in the ?-ray band by the Fermi Gamma-Ray Space Telescope. Among them, 30 are flat spectrum radio quasars (FSRQs) and 7 are BL Lac objects (BL Lacs). The photometric data in the optical (BVR) and infrared (JK) bands were from the Small and Moderate Aperture Research Telescope System acquired between 2008-2018. From cross-correlation analysis of the light curves at different wavelengths, we did not find significant time delays between variations at different wavelengths, except for three sources, namely PKS 1144-379, PKS B1424-418, and 3C 273. For the blazars with both B- and J-band data, we found that in a majority of FSRQs and BL Lacs, the amplitude of variability (?m) in the J band is larger than that in B band, consistent with the dominance of the non-thermal jet over the thermal accretion disc component. Considering FSRQs and BL Lacs as a sample, there are indications of ?m to increase gradually towards longer wavelengths in both, however, found to be statistically significant only between B and J bands in FSRQs. In the B-J v/s J-colour magnitude diagram, we noticed complicated spectral variability patterns. Most of the objects showed a redder when brighter (RWB) behaviour. Few objects showed a bluer when brighter (BWB) trend, while in some objects both BWB and RWB behaviours were noticed. These results on flux and colour characteristics indicate that the jet emission of FSRQs and BL Lacs is indistinguishable. 2020 The Author(s) Published by Oxford University Press on behalf of the Royal Astronomical Society. -
Enhanced Energy Efficient Routing for Wireless Sensor Network Using Extended Power Efficient Gathering in Sensor Information Systems (E-PEGASIS) Protocol
Recent technological advancement in wireless communication and sensors made Wireless Sensor Networks (WSNs) as one of the demanding platforms in the current scenario. In WSN, tiny sensor nodes are collecting and monitoring the biological data or physical data or environmental data and transmitted to the base station (BS) through gateway routers. These data can be accessed anywhere and anytime. Usually sensor nodes have restrained battery power which creates the rigorous lifetime duration issues in WSN. Sensor nodes can communicate with each other using various routing protocols. Data transmission devours more amounts of energy and power. So, energy preservation is an important factor in WSN. There are plenty of researches going on in designing less energy consuming protocols for data transmission which helps to increase the lifetime of WSN. In this paper we have proposed Extended Power Efficient Gathering in Sensor Information Systems (E-PEGASIS) protocol for enhanced energy efficient data transmission based on PEGASIS protocol. In this proposed method average distance between the sensor nodes are considered as the criterion for chaining and fix the outermost node's radio range value the base station. Later it chains the related nodes available in the radio range. Consequently, the chained node checks their distance with the next nearest end node to go on with the chaining procedure which will enhance the performance of data transmission between the sensor node and the base station. The simulation of the proposed work shows that lifetime of the network is increased when comparing to the LEACH and PEGASIS protocol. 2021 The Authors. Published by Elsevier B.V. -
Enhanced Energy-Efficient Routing for Wireless Sensor Network Using Extended Power-Efficient Gathering in Sensor Information Systems (E-PEGASIS) Protocol
Recent technological advancements in wireless communication and sensors made Wireless Sensor Networks (WSNs) as one of the demanding platforms in the current scenario. In WSN, tiny sensor nodes are collecting and monitoring the biological data or physical data or environmental data and transmits to the Base Station (BS) through gateway routers. These data can be accessed anywhere and anytime. Usually, sensor nodes have restrained battery power which creates the rigorous lifetime duration issues in WSN. Sensor nodes can transmit the data with each other using various routing protocols. Data transmission devours more amounts of energy and power. So, energy preservation is an important factor in WSN. There are plenty of researches going on in designing less energy consuming protocols for data transmission which helps to increase the lifetime of WSN. In this manuscript, we have proposed Extended Power-Efficient Gathering in Sensor Information Systems (E-PEGASIS) protocol for enhanced energy-efficient data transmission based on PEGASIS protocol. In this proposed method, the average distance between the sensor nodes is considered as the criterion for chaining and fixing the outermost nodes radio range value to the base station. Later it chains the related nodes available in the radio range. Consequently, the chained node checks their distance with the next nearest end node to go on with the chaining procedure which will enhance the performance of data transmission amid the base station and sensor node. The simulation of the proposed work shows that lifetime of the network is increased when compared to the LEACH and PEGASIS protocol. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
AI-based Power Screening Solution for SARS-CoV2 Infection: A Sociodemographic Survey and COVID-19 Cough Detector
Globally, the confirmed coronavirus (SARS-CoV2) cases are being increasing day by day. Coronavirus (COVID-19) causes an acute infection in the respiratory tract that started spreading in late 2019. Huge datasets of SARS-CoV2 patients can be incorporated and analyzed by machine learning strategies for understanding the pattern of pathological spread and helps to analyze the accuracy and speed of novel therapeutic methodologies, also detect the susceptible people depends on their physiological and genetic aspects. To identify the possible cases faster and rapidly, we propose the Artificial Intelligence (AI) power screening solution for SARS- CoV2 infection that can be deployable through the mobile application. It collects the details of the travel history, symptoms, common signs, gender, age and diagnosis of the cough sound. To examine the sharpness of pathomorphological variations in respiratory tracts induced by SARS-CoV2, that compared to other respiratory illnesses to address this issue. To overcome the shortage of SARS-CoV2 datasets, we apply the transfer learning technique. Multipronged mediator for risk-averse Artificial Intelligence Architecture is induced for minimizing the false diagnosis of risk-stemming from the problem of complex dimensionality. This proposed application provides early detection and prior screening for SARS-CoV2 cases. Huge data points can be processed through AI framework that can examine the users and classify them into "Probably COVID", "Probably not COVID"and "Result indeterminate". 2021 The Authors. Published by Elsevier B.V. -
Telehealth Services for an Adolescent with Duchenne Muscular Dystrophy (DMD) During the COVID-19 Pandemic
The neuropalliative approach in a hospital setting for neuromuscular disorders is essentially multidisciplinary in focus and involves co-ordinated interventions. This case report describes an intensive case management approach through telehealth services provided from a hospital context in South India for psychosocial interventions for an adolescent with Duchenne Muscular Dystrophy. Case management interventions during the COVID-19 pandemic were provided through sixteen sessions over the telephone, focusing on need assessment, service plan development, implementation, co-ordination, and monitoring. Major strategies were crisis management, supportive psychotherapy, and cognitive-behavioural strategies. Adaptations made to meet the challenges of the COVID-19 pandemic using telehealth facilities can be incorporated into routine clinical practice in low-resource settings. IMPLICATIONS Telehealth, which emerged as a viable option for providing effective psychosocial care during the COVID 19 pandemic, could be adopted to complement routine clinical care in low-resource settings. 2024 Australian Association of Social Workers. -
Virtual leadership program for adolescents with muscular dystrophy: a process evaluation
Children with muscular dystrophy go through the challenge of moving into adolescence compounded with the challenge of living with a debilitating muscle disease. This paper describes the process evaluation of a group leadership program for adolescents with muscular dystrophy. A five-day online program was conducted for 14 participants, 12 males, and 2 females, between 13 and 18 years, beneficiaries of Mobility in Dystrophy (MIND) trust, Kerala, India. The sessions, which lasted around one and a half hours each, focused on self-discovery through a participatory strength-based approach. The participants feedback was thematically analyzed. The process evaluation parameters, fidelity, dose delivered and received, reach, and context were found to be effective. The 100% attendance of the participants and their perceived improvement in self-confidence, self-awareness, friends circle, skills-set, and leadership were identified as positive outcomes. Psychosocial intervention programs through the online platform, with structured follow-ups for adolescents with life-limiting conditions would be beneficial. 2024 Taylor & Francis Group, LLC. -
Palliative care in duchenne muscular dystrophy: A study on parents' understanding
Introduction: Duchene muscular dystrophy (DMD) is a neuromuscular disease of childhood, which has clear progression. The international standardized care guidelines for DMD suggest that palliative care is essential for the affected children. Objective: To explore the parent's understanding of palliative care services available for children with DMD and the challenges faced by them in utilizing the same. Methods: A cross-sectional qualitative exploratory study was conducted among six families of boys diagnosed with DMD. A semi-structured interview guide with prompts was used to conduct in-depth interviews which lasted for an average of 1 h. Thematic analysis was done to identify the pattern or themes. Results: The major themes identified were 'palliative care, living with DMD, awareness about palliative care services and challenges.' Awareness about palliative care services is the dominant theme identified as influencing rest of the experiences narrated by the parents of children with DMD. Discussion: Integration of palliative care services from an early stage of the illness can help the child to make transition from one stage to another stage of the illness. To ensure the utilization of the available palliative care services, there is a need to create awareness about it among the general public. Conclusion: Introducing the concept of palliation of symptoms and ensuring quality of life of the child with DMD by accessing the available services can aid the parents to reach out for help for their child. 2021 Wolters Kluwer Medknow Publications. All rights reserved. -
Experimental Design of Interoperable Smart Lighting for Elderly Care
Smart Home attains an active role in elderly care. Vision impairments caused by aging makes elders more dependent and affects the circadian rhythm or body clock. Some vision impairments can be improved by providing additional lighting. Smart lighting is the leading solution in providing adequate quality of lighting which helps elders to perform their daily activities independently. Various smart lighting solutions for elderly care are proposed in past and failed to consider about the energy loss due to over lighting. Additionally, the solutions are more independent in nature and not integrable to existing smart home solutions. To provide a solution to these ongoing challenges, an experimental design has been proposed to manage the adequate quality lighting for elderly people by controlling the illuminance and color temperature of the light with a feedback mechanism. Also, this experiment has integrated into a popular smart home platform. The proposed design keeps monitoring the ambient lighting and maintains the room's illumination as required for elderly individuals. The functional behaviors of the experimental design are evaluated using a testbed. The result shows that the proposed design reduces the energy usage more than 50% along with providing adequate lighting for elderly individuals. In addition, this experimental design promises that the proposed method can be easily integrated into any existing smart home solutions with its native scripting framework. 2024 IEEE. -
Exploring novice Indian school counsellors' experiences collaborating with teachers and administrators
Previous studies have shown that collaboration between school counsellors and other stakeholders such as teachers and administrators leads to improved outcomes for students and a better school climate. The current qualitative study explored the experiences and perceptions of novice school counsellors in India regarding collaboration with teachers and administrators. The sample included 11 novice school counsellors working in five different cities who were recruited using purposive sampling. The thematic analysis of the data collected via semistructured interviews revealed six main themes: 'Counsellors' perceptions about collaboration', 'Collaboration with teachers', 'Collaboration with administrators', 'Challenges faced during collaboration', 'Strategies helpful in collaboration' and 'Impact of training'. Implications discussed include the need for school counsellors to advocate for their role, the need for training programs to prepare stakeholders for collaboration, and the need for policies to integrate the role of a school counsellor into schools. The Author(s), 2021. Published by Cambridge University Press. -
Mechanical and tribological investigation on al lm4/tic composite fabricated through bottom pouring method
In the present investigation LM4 reinforced 6 wt% Titanium Carbide particles composite was developed by stir casting bottom pouring method. The cast composite specimen was obtained in a cylindrical shape of dimensions 50 mm dia and 100 mm length. The composite specimens were prepared for mechanical and tribological test as per ASTM standards. The obtained results reveal that the mechanical properties are high as compared to the as cast LM4 alloy specimens. Microstructure analysis confirms that the uniform distribution of TiC particles. Tribological test was performed using pin-on-disc machine based on Taguchi's design of experiments. L27 orthogonal array was selected by changing test parameter like applied load (10, 20, 30 N), sliding distance (600, 800, 1000 m) and sliding velocity (1.5 m/s, 2.5 m/s and 3.5 m/s). The most influencing test parameters were identified by using S/N ratio and ANOVA. The wear results reveled that wear rate increases as applied load increases, and it decreases with decrease in velocity. Also wear rate decreases as sliding distance increases and at some point, it became linear. The applied load was found to be most dominating (77.61%), sliding velocity (10.44%) and sliding distance (4.47%) are less dominating factors. Worn surface morphology was studied to understand the type of wear. 2021 elsevier ltd. all rights reserved. -
Risk management of technological accidents triggered by natural-hazards (Natech): A review of relevant indian legislation
The ill-effects of technological sites on the environment have been researched substantially across the world with particular reference to pollution. However, the threats posed by the environment to technological sites have rarely been studied. Such events, where natural forces trigger technological accidents, are called Natech accidents. It has been observed that developed countries are aware of this emerging hazard and they have responded to it by creating various legislative frameworks for managing Natech risk. In contrast, in developing countries, it has not yet received due attention. The present study has been done to understand the Indian perspective of the legal framework for Natech risk reduction. The study revealed that India has an elaborate legislative framework for disaster risk identification and management. Though there is attention to routine disaster risk, the risk from natural forces to the technological sites is rarely considered. Apart from recognizing natural forces as a threat, no specific legislation is available for Natech risk reduction. A developing country like India must manage the risk posed by natural forces to its technological infrastructure. There is a need for specific legislation to manage Natech risk, which will be an initiating force for the state of the art Natech risk management. 2021, World Research Association. All rights reserved. -
Measurement of Corporate Social Responsibility of Financial Companies in the Indian Context
Purpose: This study aimed to measure the corporate social responsibility (CSR) activities of financial companies (banks and NBFCs) in India. This paper used content analysis to quantify the CSR performance of financial companies. Financial institutions loan money to businesses utilizing assets owned by saving bank account holders, thereby heightening their societal responsibility. Methodology: Data from 63 financial companies listed on the National Stock Exchange from 20142015 to 20202021 were considered. Cronbachs alpha, descriptive statistics, and z-score test were used in this research to check the reliability and normality of the CSR scores. Findings: The results showed that private sector banks proactively participated in social activities compared to public sector banks (PSB) and non-banking financial institutions (NBFCs). Scores of CSR improved during the study period. Practical Implications: The study will allow future research because every issue and factor considered in the scale needs attention to benefit humankinds future generations. Calculated CSR scores could be used to measure the impact on the financial performance of companies. Originality: Unlike prior research on corporate social responsibility, the current work built a model to measure the CSR of financial companies. 2023, Associated Management Consultants Pvt. Ltd.. All rights reserved. -
Responsible and sustainable lending by Financial institutions: a literature Review
The subject of the study is to use an extensive literature review to evaluate how academic research on corporate social responsibility (CSR) is developing. The journals and papers in the ISI Web of Science, SCOPUS, and Taylor&Francis databases served as the foundation for this literature review. The purpose of the study is to highlight essential papers, referenced journals importance, and potential future study directions. Determinants that impact the CSR performance of an organization are governance, profitability, firm characteristics, and minimum expenditure. The impact of CSR has been measured using accounting-based market value, risk, excess return on a stock, and moral capital. All the variables are discussed with strongly supported literature and then concluded by giving a framework. The novelty of our study is that it analyses new research trends while concentrating on the CSR research frontiers. The conclusion identifies possible areas for scientists to further develop their expertise, including sustainable and responsible financing and ESG strategy. Sachdeva S., Ramesh L., 2023.