USE OF MACHINE LEARNING ALGORITHMS IN CYBER SECURITY

Artificial intelligence (AI) has made incredible progress, resulting in the most sophisticated software and standalone software. Meanwhile, the cyber domain has become a battleground for access, influence, security and control. This paper will discuss key AI technologies including machine learning in an effort to help understand their role in cyber security and the implications of this new technology. This paper discusses and highlights the different uses of machine learning in cyber security.

CONTEXT STORAGE USING CLOUD-BASED MONGODB WITH RULE-BASED RETE ALGORITHM

In this Context-aware computing era, everything is being automated and because of this, smart system’s count been incrementing day by day. The smart system is all about context awareness, which is a synergy with the objects in the system. The result of the interaction between the users and the sensors is nothing but the repository of the vast amount of context data. Now the challenging task is to represent, store, and retrieve context data. So, in this research work, we have provided solutions to context storage. Since the data generated from the sensor network is dynamic, we have represented data using Context dimension tree, stored the data in cloud-based ‘MongoDB’, which is a NoSQL. It provides dynamic schema and reasoning data using If-Then rules with RETE algorithm. The Novel research work is the integration of NoSQL cloud-based MongoDB, rule-based RETE algorithm and CLIPS tool architecture. This integration helps us to represent, store, retrieve and derive inferences from the context data efficiently..

A SUSTAINABLE GROWTH OF CLEAN ENERGY IN INDIA: A TARGET 2022

The extenuation of non-conventional global energy demands and changing environments is one of the most important ingredients in recent days. A case is about the study of sun energy acquired as clean energy by the government of India (GOI). GOI announced the various schemes for solar energy (SE) in the last decades because of the tremendous growth of solar energy aspects for the non-conventional sources with the support of central and state government. This article covered the progress of solar energy in India with major achievements. In this review article, the authors are trying to show the targets of the government of India (GOI) by 2022 and his vintage battle to set up a plant of solar or clean energy in India. This paper also emphasizes the different policies of GOI to schooling the people for creating the jobs in different projects like “Make in India”. This paper projected the work of the dynamic Prime Minister of India Mr. Narendra Modi and his bravura performance to increase the targets 100 GW solar energy by 2022.

SENTIMENT ANALYSIS FOR SARCASTIC MESSAGES IN SOCIAL MEDIA USING DEEP LEARNING TECHNIQUES - AN EMPIRICAL STUDY

Sentiments is the term of opinion or views about any topic expressed by the people through a source of communication. Nowadays social media is an effective platform for people to communicate and it generates huge amount of unstructured details every day. It is essential for any business organization in the current era to process and analyse the sentiments by using machine learning and Natural Language Processing (NLP) strategies. Even though in recent times the deep learning strategies are becoming more familiar due to higher capabilities of performance. This paper represents an empirical study of an application of deep learning techniques in Sentiment Analysis (SA) for sarcastic messages and their increasing scope in real time. Taxonomy of the sentiment analysis in recent times and their key terms are also been highlighted in the manuscript. The survey concludes the recent datasets considered, their key contributions and the performance of deep learning model applied with its primary purpose like sarcasm detection in order to describe the efficiency of deep learning frameworks in the domain of sentimental analysis.

UNDERSTANDING THE EFFECTS OF TIME MANAGEMENT AND SELF-EFFICACY ON MATH PERFORMANCE AMONG HIGH SCHOOL STUDENTS WORKING P

Although the government provides free education, poverty is one of Filipino students' most common challenges in their pursuit of basic education. To overcome financial constraints and to be self-sufficient while studying, high school students choose to find errands. In Toledo City, Cebu, Philippines, thirty-one public high school students working part-time were studied to find answers if there was a link between time management, self-efficacy, and academic performance, specifically, assessing the respondents' math performance, using the adopted survey questionnaire. The results revealed that they performed satisfactorily in math while practicing moderate time management and having moderate self-efficacy in the subject. There was no significant relationship between time management and math performance; however, self-efficacy and math performance had a significant weak positive correlation. As a result, teachers are encouraged to create programs that boost students' self-efficacy and time management abilities. It is strongly suggested that time management skills are integrated into the subjects to form and promote students' positive reactions. From the theoretical point of view, once the competencies have been learned and practiced, students are expected to manage, strive for, and fulfill their life objectives more effectively.

PAPR REDUCTION TECHNIQUES AND IMAGE QUALITY ASSESSMENTIN IMAGE BASED MMS VLC SYSTEM

The radiofrequency method of transmission suffers from the problem of the limited licensed radio frequency spectrum, & security, wide EMI (electromagnetic interference), high multipath fading & power consumption for short-range applications. The solution to these problems can be achieved by using optical wireless communication technique called the Visible Light Communication system where the data is sent through regulated emission of light. The transmission of digital image information productively in the present optical wireless communication framework is an uphill task as these systems often suffer from problems like frequency selective fading propagation losses and inter-symbol interferences. In order to conquer such difficulties we hereby propose a robust method to transfer the digital image through a Multi-Carrier Modulation Scheme-MMS. In this paper, an Image-Based Multicarrier modulation VLC system is designed through which is sent a corrupted Digital Image with additive white Gaussian noise and explored the overall execution of the Image based Multicarrier modulation VLC system at distinct SNR values. The paper also addresses the issue of high Peak to Average Power Ratio (PAPR) in Multicarrier modulation and reduced it by using different PAPR reduction techniques. The received image quality of the proposed system is obtained under different signal to noise ratios at different modulation schemes..

ANALYSIS OF DRIVER BEHAVIOR IN VEHICLE FOLLOWING AND LANE CHANGING PARAMETERS ON URBAN MID BLOCK SECTIONS

In mixed traffic situations, there is weak or no lane behavior of the driver much more complicated where vehicle and driver behavior show a huge difference between them. Road traffic driving behavior on urban midblock sections is one of the most complex phenomena to be examined particularly in heterogeneous traffic conditions. This is often attributed to the capacity of the road section and the traffic flow features at the macroscopic and microscopic level of a road section. Very few researchers have attempted to investigate these features in heterogeneous environments because of the lack of adequate information gathering methods and the amount of complexity involved. In this background, an access controlled mid block road section was selected for video data collection. The main objectives of this study include developing vehicular trajectory data and analyzing the lane changing and vehicle following behavior of driver on the mid block section considering the relative velocities and relative spacing between various types of vehicles under heterogeneous traffic conditions. The videos were collected from urban roadway in the Kurnool district of Andhra Pradesh. The length of the stretch is 120m and the width is 7.0 m. The data was extracted to know the variations in terms of longitudinal and lateral speeds, velocities, vehicle following and lane changing behavior of the drivers. The data extracted was smoothened by moving average method to minimize the human errors. Lateral amplitude of the vehicles of various types was analyzed. The study revealed that vehicles in the mixed stream, in general and in particular, Bikes and Autos particularly move substantially in the lateral direction.

IMPACT OF LOCUS OF CONTROL ON INVESTMENT BEHAVIOUR: A SEGMENTATION APPROACH

Investment plays a vital role in a developing country such as India, as it provides the necessary funds for undertaking productive activities to be circulated in the economy. Savings are our country's largest source of investment. Investments are subject to the individual’s attitudes, beliefs and perceptions. As a result, the attitudes and expectations of investors have a major impact on their investment behaviour. Locus of Control is one of the most important factors that affect individual’s decision-making behaviour. Locus of Control is people's assumptions about what causes their lives to have good and bad outcomes (Rotter, 1966). It is said that there is internal and external LOC. Individuals with internal LOC assume they control their own destiny, whereas individuals with external LOC relate their experiences to destiny, luck or chance. Consequently, LOC has a great influence on an individual's investment decision-making behaviour. As a result, this study attempts to assess the LOC of an individual investors, segment them based on their level of internal and external LOC, and also to understand the impact of locus of control on the savings and investment behaviour of individual investors. The study revealed that most of the investors in Kerala were moderates and the locus of control of an individual investor affected their savings and investment behaviour

INFORMATION AND COMMUNICATION TECHNOLOGY IN HIGHER EDUCATION: ONLINE EXPERIENCE OF FACULTY

Online teaching is a major concern in today's teaching process, and it is necessary to determine the impact of Information and Communication Technology (ICT) on online teaching. Currently, online teaching plays a vital role in guiding educators; students must be updated about the use innovation in the right way. Teachers must teach students about the correct use of technology. The purpose of the research were to study the on line experience of faculty with ICT to overcome the challenges in teaching learning process. The research was quantitative in nature whereas survey methods and quantitative questionnaire were utilized in current research. The random sampling technique was used to target the sample. The target population were the teachers who had experienced online courses and sample size (n=100) teachers. Descriptive analysis were utilized by the researchers to analyze the collected data. The results of the research depicted that there is major role played in online teaching with Information and Communication Technology. Moreover online teaching, increase the use ICT for online courses, which relieved the teacher. The advantage of online teaching in this way is that students were not bound to place and time. COVID-19 stipulates that all instruction frameworks must be converted to online mode. It is recommended that appropriate training for teachers is mandatory, which will help them to implement ICT.

EMBRYOTOXICITY AND TERATOGENIC EFFECTS OF PARMOTREMA TINCTORUM (NYL) HALE ON ZEBRAFISH (DANIO RERIO) AND CYTOTOXIC ACTIVITY OF LICHEN EXTRACT ON HEK293T CELL LINE

Parmotrema tinctorum (Nyl) Hale an edible lichen, used as a spice and flavouring agent for meat and vegetable preparations by ethnic groups in India and Nepal. In Zebrafish embryos and larva, the therapeutic applications of P.tinctorum widely reported. However the teratogenic effects not reported. This study was aimed to examine the toxicity of P.tinctorum on the promising model for toxicity research, the Zebrafish, because their genetic structure is more similar to human beings. Additionally, we have demonstrated a toxic effect of P.tinctorum extract on the human normal cell line (HEK293T) by MTT assay. The methanol extract of P.tinctorum was extracted by Soxhlet and for embryotoxicity and teratogenicity activities, we use different concentrations (50µg/ml – 200µg/ml) of lichen extracts on twelve selected fertilized Zebrafish embryos. The extract did not exhibit any effect on Zebrafish Survival rate, hatching rate, heartbeat and teratogenicity which was similar to control groups. To conclude that, methanol extract of P.tinctorum is found to have a nontoxic property to zebrafish embryo and human normal cell line (HEK293T) and suggests that this might be safe for consumption