Volume 11 | Issue 12 |

 Abstract

Keoladeo National Park (KNP), a world heritage site is a unique ecosystem known for various resident and migratory birds. This important wetland was set aside as a bird's sanctuary in 1956 and it was elevated to the status of a national park in 1981. It has distinction of being the only Indian wetland to be included under both the Ramsar and the World Heritage convention. Chital is the third largest deer inhabiting the plains of India. Its coat is rufous brown and covered with white spots. In the present study, habitat suitability analysis for Chital has been done in the various blocks of KNP. Each block was evaluated with respect to habitat parameters, viz., food, cover, water, space and disturbance. High resolution satellite data, IRS P6 (Resourcesat-1) LISS IV and IRS P5 (Cartosat -1) PAN data were used to generate the habitat suitability map. Data base design, creation and organization were carried out using ERDAS IMAGINE (8.7) image processing software and ARC/GIS (9.1) software. Total area of KNP was worked out as 28.96 Sq.Km. Out of total suitable area; it is observed that 60.36% area suitable for Chital. High Resolution satellite data thus can easily calculate the suitable area for ungulate.

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 Keywords

Key words: -KNP, Lu/Lc, Satellite data, Habitat.

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Creative Commons Attribution 4.0 and The Open Definition

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Atopic dermatitis (AD) is a common chronic inflammatory skin condition in children. Exposure to environmental factors, such as passive smoking, has been suggested as a potential risk factor for the development and exacerbation of AD. This cross-sectional study aimed to investigate the relationship between passive smoking and the prevalence of atopic dermatitis in a cohort of 495 children. Our findings reveal significant associations between passive smoking and atopic dermatitis, highlighting the importance of recognizing environmental influences in the management of pediatric skin conditions.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Cross-Sectional Study on the Role of Passive Smoking in Atopic Dermatitis Among 495 Children

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The total number of motor vehicles is still increasing at a high rate due to the social economy's rapid expansion and the speed at which cities are becoming more populated. Large and medium-sized cities' roads are getting more and more congested, which increases the frequency of traffic accidents. Finding accident hotspots early on is crucial to improving road safety and lowering the number of traffic accidents. Eight impact factors (holiday, day of week, time, rush hour traffic, accident location type, accident type, weather, responsibility, and black spot) were set for the analytic dataset in this study, which included data from traffic accidents on the Lianfeng Middle Road, Yinzhou District, Ningbo City. The classic Kmeans clustering algorithm's drawbacks were addressed by the proposal of the enhanced algorithm, which is vulnerable to early clustering centres and outliers. The dataset's traffic accidents were split into two groups using this algorithm: black spots and non-black spots. After that, we used the new dataset to build a black spot recognition model using a Bayesian network, and we compared it with other popular methods including the ID3 decision tree, logistic regression, and support vector machine. As demonstrated by the values of the ROC area, TP rate, FP rate, accuracy, precision, recall, F-measure, and F-measure reaching 0.618, 0.668, 0.580, 0.650, 0.668, 0.590, and 0.668, respectively, the Bayesian network was the most successful model for locating black spots associated with traffic accidents. In addition, a bivariate correlation model was used to confirm the impact factors and black spots' link. The findings showed that Black spots, which had a value of sig<0.05, showed significant associations with the accident location type, accident type, time, and responsibility. In order to greatly improve road safety, the conclusions may offer reference data for the detection and avoidance of high-risk areas for accidents.

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 Keywords

Traffic safety, K-means clustering, Bayesian networks, black spot identification.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract: Nowadays, new concepts for high-rise and twin towers construction are needed to resist the effects of seismic and wind forces. The main reason is the need for space, both residential and commercial, in urban areas. Globally, more or less about 10 million people move to urban areas each month. Some very large cities don't have much space available to build buildings. Tall buildings are susceptible to lateral movement, or drift, due to wind or earthquake forces. Therefore it is very important to design such types of structures so that they withstand wind or earthquake forces. This research work analyzes the seismic behavior of a gate-type twin tower G+10 floor building with the top three floors connected using linear dynamic earthquake analysis. We have considered a model of a gate-type twin tower structure to achieve desirable results in terms of storey drift, displacement, absolute moment, and temperature variation with temperature stresses under seismic forces for seismic zone III and medium type of soil using STAAD Pro. Software.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Gate type twin tower structure, storey drift, displacement, seismic forces, STAAD PRO software.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

With the increase in the number of mobile applications in the day to day life, it is important to keep track as to which ones are safe and which ones aren't. One can't judge how safe and true each application is based only on the reviews that are mentioned for each application. Hence it is necessary to check and initiate a system to make assured that the apps present are genuine or fraud. The objective is to develop a web system in detecting fraud apps before the user downloads by using sentimental analysis and support vector machine. Sentimental analysis is to help in determining the emotional tones behind words which are expressed in online. This method is useful in monitoring social media and helps to get a brief idea of the public's opinion on certain issues. The user cannot always get correct or true reviews about the product on the internet. The reviews may be fake or genuine. Analyzing the reviews involving both user and admins comments, we can determine whether the app is genuine or not. Using sentimental analysis and support vector machine, the machine is able to learn and analyze the sentiments, emotions about reviews and other texts. The manipulation of review is one of the key aspects of App ranking fraud. By using sentimental analysis and support vector machine, analyzing reviews and comments can help to determine the correct application for both Android and iOS.

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Creative Commons Attribution 4.0 and The Open Definition

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Positive negative neutral reviews, Sentiment analysis, Support Vector Machine, Users reviews.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Due to the widespread integration of renewable energy sources in DC microgrids, these microgrids are highly vulnerable to fluctuations in power generation, particularly concerning voltage stability. To mitigate these fluctuations, a Hybrid Energy Storage System (HESS) comprising both a battery and a supercapacitor (SC) is employed. The distinct characteristics of batteries and supercapacitors make them an ideal combination for applications in HESS. The HESS is connected to the DC microgrid through a double-input bidirectional converter, offering decoupled control of battery and supercapacitor power, along with facilitating energy exchange between the storage components. This paper introduces a modeling approach for the double-input bidirectional converter and designs a controller for voltage regulation in a DC microgrid. The modified operation of the converter enables the use of the same controller for both HESS charging and discharging operations, creating a unified controller. The designed controller proves effective in rejecting disturbances from both the source and load sides while ensuring the voltage stability of the DC microgrid. The proposed modified operation of the bidirectional converter maintains the State of Charge (SOC) of the low Equivalent Series Resistance (ESR) supercapacitor within the desired range. Simulation results validate the operation of the modified converter and the performance of the designed controller in maintaining voltage stability.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Bi-directional converter, Battery, SC, HESS and PI Controller.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

'Digi Pullampara - Total Digital Literacy Campaign' by the Pullampara Gram Panchayat is the first successful total digital literacy campaign in Kerala. It ensured that all citizens of the local body are digitally literate and empowered to use digital applications for their benefits. The project was completed with active involvement of a dedicated team supported by the political systems, officials, community and other stakeholders.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Digital literacy, citizens, survey, training, information, analysis, evaluation, technology, participation, services

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A key objective of this study is to examine how societal values, traditions, and historical influences have impacted how Kerala education is perceived and nurtured, as well as the intricate relationship between cultural evolution and education. Despite the evolution in significance and objectives of education over time, it remains one of the most important driving forces for human development. People's lives have been consistently impacted by the educational model and its continuous changes. Historically, Kerala has had a long history of educational progress due to early rulers' formulation of educational policies. This paper examines the influence of movements on Kerala's educational system. As a result of their concerted efforts, the Ezhava Movement, Nair Service Society, and Adivasi Gothra Mahasabha were able to increase access to education, improve the quality of education, and empower individuals. The Kerala State has been recognized as one of the literate states in the world and achieved commendable gender and spatial equality outcomes in the past two centuries due to the initiatives of public and private institutions.

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Kadavallur Anyonyam, Vedic Salas, Battanmar, Colonial Education, Varamirikkal etc.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

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Keywords: NLP, Machine Learning, Chatbot, python, Google-text-tospeech

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Digital Marketing has made the remarkable changes in the marketing field. The strategies of Government which includes, 'Make in India', 'Digital India' by Prime Minister, has made the companies reach consumers even in rural places. This has also created many opportunities to entrepreneurs' to go every corner of the world. Companies to compete, has to reach most of the consumers and create place in the capital markets to sustain in the long run. This study examined the influence of digital marketing on consumer buying behaviour. The sample size was 124 respondents and the structured questionnaire was used for data collection. A Statistical Package for Social Sciences (SPSS) software was used to analyze the data. The findings of the study showed that there is a significant impact of online marketing on consumer buying behaviour.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Digital Marketing, Online Marketing, Consumer Buying Behaviour

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Creative Commons Attribution 4.0 and The Open Definition