Volume 9 | Issue 6

 Abstract

This literature review is aimed at understanding the role of emotional competencies in education, through the previous researches conducted in this respect. With the analysis of the various study results, it is revealed that emotional competencies can be handled with effective techniques of developing self-regulations, self-awareness and enhancement of positive emotions. There are gender differences existing in emotional competency skills among university students. There is a need for inclusion of training for emotional competence, in university curriculum.

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 Keywords

: Emotional Competence, Self-awareness, Self-regulation.

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Information technology is transforming the life & culture in all its facets. This has led to disruptions in the world of learning. The learning styles and pedagogies of learning has been disrupted by the evolution of internet in its own time line. Different generations have accepted technology in varying degree, form and context. The future generation will be experiencing intelligent empowerment by using advancements in technology. This means the world of learning is to be disrupted more & more that too rapidly. Digital disruption has been accelerated by a decade due and the new normal. The disruption has been leap frog than marginal or incremental. The academic ecosystem witnessed a significant transformation by adopting technology led learning platforms. The academic community needs to be watched carefully for acceptance, adoption and experience they get by using the education technology led platforms. A multidisciplinary model, building on the technology acceptance model and relevant literature on acceptance, adoption, trust and intelligent empowerment, has been devised. The study is expected to demonstrate the role of technology in transforming students from passive learning styles to active learning styles. Gamification has been moderated by these Edutech platform which has developed new learning curves in the academic community. The tradition approach towards teaching-learning styles underwent transformation which is more learner centric and collaborative. These changes would disrupt the world of learning using the extensive possibilities of Digital Disruption. In order to understand the effect closely, a conceptual paper is written to explore theoretical frameworks and observed changes in the learning environment prevalent in new normal

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 Keywords

Learning Styles, Active Learning, Passive Learning, Gamification

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 Abstract

The increase in population leads to increment in accident. In some of the highly populated countries such as India, during accidents, people lose their lives due to unavailability of proper medical facilities at the right time. This paper proposes to detect the accident using the sensors present in the vehicle. The monitoring team or road side unit will receive the data of all the sensors through the MQTT cloud service i.e. hiveMQ broker service provider and sends the alert message or push notification to the rescue team with the help of FCM through mobile application. GPS provides the location of the vehicle. LED will display the help message to the passing by vehicle. The proposed system will save many road side accident victims by providing proper medical service at right time.

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 Keywords

Accident detection, Arduino UNO, Sensors, MQTT, FCM, GPS, Mobile application

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Women Entrepreneurship is the engine of economic growth and development. Youth entrepreneurship has a greater potential to aid the achievement of Millennium Development Goal and aims at providing decent and productive work for youth. Provision of employment among the youth will save them from social exclusion. This study is specially aimed at identifying those factors influencing the development of entrepreneurship among the selected Women Entrepreneurs of Micro, Small and Medium Enterprises (MSME) in SPSR Nellore District. This study is sought to find out how to access the socio-economic factors that affect the development of Women entrepreneurship. In this paper an aggressive attempt has been made to analyze the socio-economic factors those influence the Women entrepreneurship development such as the Marital Status, social status of the entrepreneurs, age group of the entrepreneurs at the time of inception, their educational qualification, family, Occupation, Occupation of the family, , reasons for selecting the location and family background.

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Marital status, age group, Social Status, Educational levels, Occupation of the family members, future plans of the Motivational Factors of Women entrepreneur.

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Plate fin heat exchangers are compact heat exchangers where beta factor ( Surface Area to Volume ) is less than 700 m2 / m3 and are exhaustively used in SOFC applications, aircraft air conditioning systems, MEMS and thermal management of electronic devices. In the present paper, a plate fin heat exchanger (PFHE) dimensions are specified and effectiveness of heat exchanger is arrived interms of NTU & C. The rating problem is solved and statistical correlations of exit temperature of hot fluid id expressed interms of pitch, length, thickness, specific heat , heat transfer coefficient , thermal conductivity and mass flux is estimated using linear regression model. The data model is developed using MS excel for above discussed variables. A case study of using PFHE for aircraft air-conditioning system is presented and discussed.

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 Keywords

PFHE, MACH No, Effectiveness, Heat exchanger, NTU

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Reducing the size of today's wireless communication systems has become an important criterion in filter design with higher performance parameters. Conventional filters are very important for modern wireless communication systems as they do not provide the desired miniaturization and results. Recently, using metamaterials and dielectric resonators, the filter size has been drastically reduced to a very small size for practical applications. This paper provides the review on planar microwave filter. In this paper the design geometry, size, B.W. and other important parameters are compared with various references. This paper provides clear idea and information about SRRs and metamaterial with various references.

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Planar microwave filter, Metamaterial, Square split ring resonator (SSRR), Wi - Fi range, Wireless LAN application.

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Education is a prime factor of growth of the individual, community and the world. The children use mobile phones for playing games, watching cartoons or only for entertainment purpose. The basic objective of writing this paper to utilise children time and energy in productive works which help them in developing their skills. This platform will provide children with primary knowledge at one platform that is going to entertain them and also help them in self-development and nation-building.

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 Keywords

Computer Vision, Image Processing, Image Synthesis, Neural Network, Convolution model, Speech synthesis, Blind, Pattern recognition

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Malicious URL, a.k.a. malicious site, is a typical and genuine danger to network safety. Vindictive URLs have spontaneous substance (spam, phishing, drive-by downloads, and so on) and bait clueless clients to become casualties of tricks (financial misfortune, burglary of private data, and malware establishment), and cause misfortunes of billions of dollars consistently. It is basic to identify and follow up on such dangers in a convenient way. Customarily, this recognition is done for the most part through the utilization of boycotts. Be that as it may, boycotts can't be thorough, and need the capacity to distinguish recently created malignant URLs. To improve the over-simplification of noxious URL locators, ML methods have been investigated with expanding consideration as of late. This article points to give a thorough review and an underlying comprehension of Malicious URL Detection strategies utilizing Ml. We present the proper detailing of Malicious URL Detection as an AI task, and arrange and audit the commitments of writing contemplates that tends to various measurements of this issue (highlight portrayal, calculation plan, and so forth) Further, this article gives an opportune and exhaustive overview for a scope of various crowds, not just for ML specialists and engineers in scholarly community, yet in addition for experts and professionals in network safety industry, to help them comprehend the cutting edge and work with their own exploration and useful applications. We likewise examine functional issues in framework configuration, open exploration difficulties, and point out significant bearings for future research.

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Malicious, Legitimate, Machine Learning, Online Learning, Internet security, Cybersecurity,URL

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The article discusses a generalization of model of economic growth with uniform pace, which takes into account the effects of dynamic memory. Memory means that endogenous or exogenous variable at a given time depends not only on their value at that time, but also on their values at previous times. To describe the dynamic memory we use derivatives of non-integer orders. We obtain the solutions of fractional differential equations with derivatives of non-integral order, which describe the dynamics of the output caused by the changes of the net investments and effects of power-law fading memory.

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economic growth model, memory effects, dynamic memory, fading memory, derivative of non-integer order, fractional derivative, economic processes with memory

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47H10, 54H25, 54C60, 46B40.

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The aim of present work was to prepare formulations of poyherbal handwash from the metholonic extracts of leaves of Tridax procumbens, Azadirachta indica and lemon juice. Two formulations of hand wash were prepared and the formulations were evaluated for physical properties like appearance, pH and viscosity. The antimicrobial activity of prepared formulations of hand wash was checked against skin pathogens Bacilus subtilus, Staphylococcus aureus, Psuedomonas aeruginosa and Escherichia coli by agar diffusion method. The results revealed that prepared herbal hand wash formulations showed significant zone of inhibition compared with standard antibiotic drug (Amoxicillin). So these plant materials can be used in the preparation of herbal hand wash on commercially scale.

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Ployherbal handwash, Antimicrobial activity, Tridax procumbens and Azadirachta indica.

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Rapid and accurate identification of plant diseases is essential for sustainable increases in agricultural productivity. Human experts have traditionally been relied upon to diagnose diseases, pests, nutritional shortages, and severe weather abnormalities in plants. This however is costly, time-consuming, and not practicable in some situations. The study of the use of pictorial methods for plant recognition has become a hot topic to address these challenges. We review the recent studies in the field of identifying pesticides and diseases utilizing imaging and machine learning in this paper. We expect this work to serve as a valuable resource for researchers who use image processing techniques to recognize crop pests and disease. In particular, we concentrate on the use of RGB images due to the low cost and high accessibility of RGB cameras. Deep learning instead of superficial classifications using manufactured characteristics has been at the forefront of recent efforts. The accuracy of the recognition on a specific dataset has been recorded by researchers; in some cases, the performance of these systems has deteriorated significantly when assessed on different datasets or under field conditions. However, it was promising to make progress to date. The experimental findings are present in ten CNN leaf disease recognition architectures, showing the accuracy, memory, precisely, specification, F1 score, training duration, and storage specifications. Recommendations are subsequently provided on the most appropriate architectures to be used in both traditional and mobile computing environments. We also explore some outstanding issues to be tackled to establish realistic systems for recognizing automatic plant diseases in field conditions.

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 Keywords

Plant disease detection; Classification; Machine Learning, Convolutional Neural Network.

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Creative Commons Attribution 4.0 and The Open Definition

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Buying, Selling, Renting Bike Part, Online Order, Registration

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In todays world of technology human cannot survive without be- ing techno-freak. Just to get workplace environment friendly we are going to introduce six emotions and positive and negative emotion recognition methods using facial image and the the development of app based on the method. In this project we will use the Deep Learning technology to generate models with emotion based facial expressions to recognized emotions. Inevitebly feelings play an important role not only in our relations with other people but also in the way we use Computers. Affective computing is a domain that focuses on user emotions while he inter- acts with computers and applications. As emotional state of person may influence concentration, task solving and decision making skills, effective computing vision is to make system stable to recognize and influence human emotions in order to enhance productivity and ef- fectiveness of working with computers. We will develop an automated system to recognize six emotions along with positive and negatives in graphs and percentages. Thus, we recognize six emotions such as Angry, Disgust, Fear, Happy, Sad, Surprise. Also classified the calculated emotion recognition scores into pos- itive, negative and neutral emotions. Then we will implement an app that provides the user with six emotions scored and positive and negative emotions

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Image Processing, CNN, LPBH(Local Binary Pattern Histogram), AWS cloud, S3 Bucket, Haar Cascades, Feature Extractions, deep learning, Facial Images.

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Vegetables contain lots of beneficial phytochemicals and also have antioxidant and antimicrobial properties. Phytochemicals are chemical compounds which are produced by plants, generally help in resistance of fungi, bacteria and plant virus infection. Various phytochemicals found in vegetables are tannins, cardiac glycosides, terpenoids, saponins, phytosterols, alkaloids, flavanoids. Antimicrobial properties of vegetables have been found to be very effective against Escherichia coli, Streptococcus pyogenes, Klebsiella peumoniae, Pseudomonas aeroginosa, Bacillus subtilis which have been examined by disc- diffusion method. This review includes the study on Bottle gourd(Lagenaria siceraria), cucumber( Cucumis sativas), pumpkin( Cucurbita), ridged gourd( Luffa), karella ( Momordica charantia), tinda ( Praecitrullus fistulosus). Vegetables also have therapeutic properties like anti- diabetic, anti- ulcers, anti- inflammatory, anti- oxidant, anti- tumor properties.

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 Keywords

Phytochemicals, antimicrobial activity, antioxidant, flavonoids, alkaloids

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