VOLUME 10, ISSUE 10, OCTOBER 2021

Abstract: Covid 19 virus developed in the year 2019 and rapidly spread across the world by close contact of infected person of COVID 19 virus. WHO and most of the countries including India declared pandemic. E-banking has become a boon for the society in this covid19 pandemic. It is easily accessible through internet facility in smart phones, computer, laptop, tablet and so on. E-banking has played an effective role during COVID 19 pandemic by operating completely electronically without exchange of tangible commodities to protect the people and maintain social distance. People are feeling completely safe and easily accessible in online transactions (like payments of necessary items(food and medicine), bills, recharge, investment, transferring fund, receiving payments, etc.) Therefore, the purpose of this research is to search and examine the effectiveness of E-banking during pandemic.

Keywords: COVID 19, Internet Banking, Online, Bank, E-banking , Effectiveness, Banking Transactions

Abstract: E-commerce business represents electronic trade. E-commerce includes an online exchange. Online business gives numerous advantages to the shoppers in type of accessibility of products at lower cost, wider choices and saves time. Online business manages selling and buying of labour and products with the help of internet and computer networks. This paper endeavours to feature the various difficulties looked by the E-trade in India, comprehend the fundamental development factors needed for E-business, express the prosperity in India and retail E-Commerce deals in India. The investigation discovered that, in the area of E-business, the presence of the wholesalers is at the most serious danger on the grounds that the maker can without much of a stretch disregard them and offer their items to the retailers and the buyers. Wholesalers can exploit E-trade in building up agreements with reputed producers and connecting their business with the on the online facility. The investigation additionally discovered that, E-commerce gives the different sorts of freedoms to the wholesalers, retailers, makers and the People.

Keywords: E-commerce, Challenges, On Line Shopping, Evolution, Prosperity.

Abstract: In simple words, innovation is an organisations process for introducing new ideas, methods, services, products etc. Business innovation should extend new customs. In the sphere of business, there are numerous innovations that an enterprise pursues. The best phrase we catch is "ADAPT OR DIE" to attain success in today's modernism. Sample of innovations in E-business is Blockchain, Single click check-out, Digital storefronts and the rest

Keywords: Innovations, new customs, the sphere of business, enterprise, adapt or die, modernism

Abstract: It was the spring year 2020 which had really disrupted the normalcy in the lives of the globe. The tragic year filled the peaceful atmosphere with a very small but new effective organism known as novel coronavirus which had given a halt to the economy, trade and commerce, technology and education of the world. Half of the population of the globe was affected by this virus thereby leading to the unexpected deaths of dear and near ones. Most of the educational institutes in Meghalaya were unprepared for digital learning. Despite the challenges in education during the lockdown period, paradigm shift from offline learning to online learning took place. The rapid transition from offline learning to online learning could be achieved by means of science and technology. The traditional classroom confined to four walls with desks and benches, blackboards, whiteboards and textbooks are drastically replaced by technology. Needless to say that technology has impacted positively and negatively the lives of students and teachers. This paper aims to investigate the Impact of technology on education during the COVID-19 pandemic in the context of Tura, Meghalaya, focusing on teaching and learning imparted online.

Keywords: Technology, Education, Pandemic

No abstract available.

Abstract: Digital Image Processing (DIP) plays an important role in the process of segmentation and classification of biomedical images. The detection of melanoma from skin images is the most widely used in biomedical imaging applications. In this paper, a new algorithm for the detection of melanoma from digital images using multiple extraction capabilities with a support vector machine (SVM) for very precise classification. To train SVM, more characteristics such as color, texture, and statistical characteristics are taken into account. To increase the sensitivity of the classification, feature extraction is performed in the RGB (red, green and blue) and HIS (hue, intensity, saturation) color domains. Two separate modules for training and testing are performed with sample data collected with the help of medical experts. To separate the skin region, a song-based segmentation technique is used in the gray scale component of the input image. The proposed method is tested with various images which are collected from different patients from different locations. From the validation of the result, it is clear that the proposed algorithm can provide a maximum precision of 95%, which is the best compared to conventional classification algorithms

Keywords: Melanoma, RGB, HIS, Support Vector Machine, Structural characteristic, Statistical characteristic.

Abstract: A look back on 2020, A year that made a huge difference. no place else has remarkable and unforeseen development happening as inside the computerized and online business sectors,which have exploded during the Covid emergency. In the midst of easing back monetary movement, Covid has prompted a flood in internet business and sped up advanced change. With the change and evolution of contemporary technologies, small and medium businesses do everything they'll to stay up, which may be said to be true for the remainder of human society. Businesses are either changing their business model to an internet one, or briefing up existing marketing efforts with digital marketing strategies. In the computerized time where organizations are going to, advanced promoting devices and methods give entrepreneurs the sole opportunities for contest, endurance and even business development..

Keywords: E-commerce, Digital Marketing , Search Engine Optimization (SEO), Search Engine Marketing (SEM), Competitor Research, Social Media Marketing.

Abstract: Coronaviruses are a group of viruses which have been said to have originated from Wuhan, China belonging to the family of Coronaviridae. Human coronaviruses can cause lung infections which can be fatal if left untreated. COVID-19 death is defined for surveillance purposes as a death resulting from a clinically compatible illness in a probable or confirmed COVID-19 case, unless there is a clear alternative cause of death that cannot be related to COVID disease.[1] There should be no period of complete recovery between the illness and death. In our paper we have published the results based on a survey conducted by our team and, used Data Analytic tools and Predictive Analysis on the acquired data. Vital questions have been asked and opinions have been collected from around 500 residents of each area in Bangalore Urban zone. Visualization tools using Python libraries have refined our data visualization process. Sampling rate is fixed not to overfit or under fit during supervised learning using Artificial Intelligence (AI).

Keywords: Coronaviruses, Coronaviridae, COVID-19, Data Analytic tools and Predictive Analysis, Visualization tools, Python libraries, supervised learning using Artificial Intelligence (AI), Real‐ time PCR and CT images/ X-rays.

Abstract: In the last few years, the usage of online platforms has increased very rapidly. It lets the user to interact and upload content for others and also has become an integral part of many people's life. The user generated content posted by users contributes to the richness and variety of content on the web but isn't subject to the editorial controls associated with traditional media. Due to this some users can post content which could harm others, particularly children or vulnerable people. The amount of content generated on these platforms is increasing day by day, it's become impossible to spot and take away harmful content using traditional approaches at the speed and scale necessary. This paper examines the capabilities of machine learning technologies in meeting the challenges of moderating online content. For this we propose an Online Social Network System which does not allow its user to post hate comment or post. We have developed a machine-driven solution which automatically detects hate content in the form of text or image on social networking sites. For text classification various baseline models such as Support Vector Machine, Logistic Regression, Naive Bayes and Random Forest were used. The final model was a Support Vector Machine model that used TF-IDF for feature engineering. For image classification a combination of VGG19 pretrained on ImageNet dataset and BERT Language Model was used.

Keywords: Machine Learning, Natural Language Processing, Text Processing, Image Processing, Feature Extraction, Classification, Online Social Network, Hate, Non-Hate, Support Vector Machine, TF-IDF, VGG19, BERT

Abstract: The primary aim of the study was effect of Yoga Training on Anxiety of Kabaddi Players. Two groups were targeted; experimental and control group; 15 Kabaddi players considered as experimental group and 15 other than Kabaddi players considered as control group. The training programme was only given to experimental group. The age of the subjects were ranged between 15 to 25 years.The data was collected through respondents in the form of different experimental tests. The demographic information about Gender, age, daily smoking, drug use, etc. was obtained before seeking responses. The Anxiety, was measure through Sports competition anxiety test questionnaire prepared by Rainer Martens (1986). The Surya Namaskar, Padmasana (the lotus pose), Vajrasana (the thunderbolt pose), Trikonasana (the triangle stretch pose), Navasana (The Boat pose), Pada Hastasana (the forward bending pose), Halasana (the plough pose), Matsyasana (the fish pose), Bhujangasana (the cobra pose), Shalabhasana (the locust pose ) , kapalbhati pranayama,Bhstrika, Anulom Vilom and Bhramri Pranayama Involved in the yoga Training program . The result of the study shows that significant effects of yoga was found on Anxiety in experimental group

Abstract: Fitness is one of the most important part in every individual’s life. But in today’s pandemic situation, where everybody is at home and leaving house is quite risky. For this, there should be some exercise done to keep us fit & fine. Just by walking/running and burning calories is not enough. One should be considerate about various other aspects while exercising. Some basic exercises need to be practiced to keep us in-shape. Certain motion exercises such as Push-ups and Pull-ups need to be done properly or else it might lead to serious injuries. This isn’t achieved normally without any aid. For the same, this smart band will aid in overall exercise development. “BE FIT SMART BAND”. This is a new, innovative, accurate and user-friendly smart band which allows user to do his/her exercise properly and also to keep its track record daily. This band makes the user to do Push-up and Pull-up neatly and also measures his/her BPM (Pulse rate). The “BE FIT SMART BAND” maintains precision and quality output. This band is a perfect exercise partner for every individual. Basic innovation giving advanced fitness aid for future. Fitness trackers are the leading consumer products because most consumers use wearable devices to record their exercise and health statistics and progress.

Keywords: Fitness, innovate idea, Smart band, exercise, electronics, BPM.

Abstract: Iris recognition is an automated method of biometric identification that uses mathematical pattern-recognition techniques on video images of one or both of the irises of an individual's eyes, whose complex patterns are unique, stable, and can be seen from some distance. The discriminating powers of all biometric technologies depend on the amount of entropy they are able to encode and use in matching. Iris recognition is exceptional in this regard, enabling the avoidance of "collisions" (False Matches) even in cross-comparisons across massive populations. Its major limitation is that image acquisition from distances greater than a meter or two, or without cooperation, can be very difficult.

Keywords: Iris, Biometric, Pattern-Recognition, Collisions, Entropy, Acuistion

Abstract: The majority of construction businesses today use different models for cost control or material estimation. This estimation is done before the construction begins while the cost control is done during the later period. Therefore, the different options available for cost estimation as well as material estimation may complicate the process. Overestimating and underestimating can also have adverse effects. This application aims to integrate and simplify solutions to all these problems into a single application. This project aims to develop software that calculates cost and materials used based on blueprints or models of the building; input constraints include the building dimensions or pre-loaded layouts in a library. The project will provide suffice model for estimation for commercial as well as domestic purpose. Considering continuous construction and improvements which are frequent in developing countries like India, the model’s application tends to be useful for apartments, malls, condos, houses, studios, shopping complexes and workshops.

Keywords: Construction estimate, raw material cost, building cost, Java.

Abstract: Speech recognition technology is one from the fast growing engineering technologies. It has a number of applications in different areas and provides potential benefits. Nearly 20% people of the world are suffering from various disabilities; many of them are blind or unable to use their hands effectively. The speech recognition systems in those particular cases provide a significant help to them, so that they can share information with people by operating computer through voice input. This project is designed and developed keeping thatfactorinto mind, and a little effort is made to achieve this aim. Our project is capable to recognize the speech and convert the input audio into text; it also enables a user to perform operations such as “save, open ,exit” a file by providing voice input. It also helps the user to open different system software such as opening notepad, music player, you tube, etc. At the initial level effort is made to provide help for basic operations discussed above, but the software can further be updated and enhanced in order to cover more operations.

Abstract: Recommender systems can be found in almost every domain in the current world. It is a multidisciplinary field, utilizing data mining and machine learning and some other similar techniques as per the domain. Be it a shopping site, media streaming platforms, while navigating with Google maps or even booking an appointment. In the current world of overloaded technology, users are bombarded with recommendations where ever one goes. Here the focus is on a game recommending system which suggests its users what game to buy next. The different approaches used for recommending games for a particular user is compared and contrasted. We see how the approaches have their own perks and losses. We take a look at the content-based filtering approaches for a game recommendation system and a collaborative filtering system. Also gives a closer look at a deep learning system to see if that bridges the gap between the content-based and collaborative approaches.

Keywords: Recommender systems, content-based filtering, collaborative filtering, hybrid methods,Deep learning, reinforcement learning.

Abstract: Network protection turns into a primary attention of the current period. Each and every sector has benefited from the positive activities of internet, i.e., emergency treatment getting at the current emergency time COVID-19, easily buying and selling the product via the sector of E-Commerce, Digital Research and Education system provide etc. In this manner, the network of communication necessitates the security of the secret information i.e., emergency message, phone calls, medical treatment and report etc. put away or move over the world of internet. Because of the speedy advancement in the area of communication technology and their huge involvement with the task of internet made uncertainty client information, and it also creates the security and protection dangers for the area of medical, business, research, emergency force (i.e., police, army) etc. According to this paper, it is presented that a Virtual Private Network is a good technique for safe the communication instruments and the important information/data from the hacker attacks. A Virtual Private Network (VPN) is a modern technology for a private network that runs on a public network and is used to transmit encrypted information so that attackers cannot able to usage it. The motivation behind Virtual Private Network is to give the specific safety components i.e., realness, classification and information trustworthiness that is the reason these are becoming popular, low-estimated and simple to utilize. The administrations of Virtual Private Network are accessible for advanced mobile phones i.e., smartphones, PCs (Personal Computers), laptops etc. This article focuses too on VPN development, tunnels, security, and protocols. The technique of VPN’s activities is a growing generation that performs a main position in Wireless Local Area Network (WLAN) with the aid of using offering steady records transmission over the world of internet.

Abstract: Automation has led to the growth of industries in recent years. For better performance of industrial process automated machines are used. Image processing has led to advancements in applications of robotics and embedded systems. Sorting of waste are usually done by humans which takes a lot of time and effort. Using Computer Vision techniques, a conveyor belt system is developed using stepper, servo motors and mechanical structures, which can identify and sort various objects. This reduces human effort, time consumption. Application of image processing in industries has gained a lot of scope. The research on automation and robotics has shown importance in industries, defence, surveillance and security using image processing. Sorting of waste is one of the challenges faced by the industries. The main objective is to build a system that is capable of identifying and sorting various waste materials by using image processing. Image processing is the key to the robot sorting system. General object detection method should be fast, accurate, and can be applied for wide variety of objects. Object Recognition is the most important task in the computer vision field. The increasing demand for real time image processing, has led to a great deal of research in Object Recognition algorithms. The goal of object recognition is to automatically detect the objects in the screen and classify them according to their properties. This process is repeated for all the frames of the captured images.

Keywords: Automation, Image processing, conveyor belt system is developed using stepper, servo motors and mechanical structures, identify and sort various objects, Object Recognition algorithms, properties, waste sorting and management. .

Abstract: Algorithm in general terms is set of rules to be followed for doing a calculation. In computer science, an algorithm is a finite set of steps of well-defined instructions to perform a particular task or to solve a well-defined problem. Various type of algorithm is developed and used in the field of networking. Some may be divide and conquer algorithm other may follows the standards of dynamic programming and some may follow the greedy approach. Greedy is an algorithmic paradigm that builds up a solution piece by piece. Greedy algorithm always chooses the piece that offers the most obvious and immediate and nearest benefit. So, this problem was choosing locally optimal also leads to globally solution that is best fit for Greedy.

Keywords: Knapsack problem, Standard greedy algorithms, Graph map colouring, Graph vertex cover, Kruskal algorithm, Prim’s Algorithm, Job scheduling.

Abstract: MyCloud is a personal online hosting for clients for personal and business use. It enables users to store and access data over the cloud from their trusted source ( Personal disks or other trusted platforms ). The platform provides the company to reserve the right to admission for their employees only. Further, it facilitates sharing of data based on hierarchies in the profession. While there are many such platforms available, no Cloud services exist which can work with as few resources as MyCloud capable of processing with RaspberryPi for a small scale business to working for a full-fledged organisation.

Keywords: Cloud Storage, Hierarchical Cloud Storages Model, Normalized DB Schema for Cloud Storage, Caching for Cloud Storage, Scalable cloud.

Abstract: Technologies are growing very fast, which helps people to get easier life. The voice assistance smart blind stick is a technique to help blind people to recognize their path. Blind people suffer from the lack of ability to do their daily activities, from walking in the road for doing any daily things. Therefore, the solution for this problem is by designing a voice assistance smart blind stick that can aid the person to walk safely to reach the source to destination without having any fear of hitting someone on the way or any objects. The voice assistance smart blind stick has been designed using solid work software. In this work used three ultrasonic sensors. One sensor has been placed in front of the stick and the other two have been placed on both sides, left and right. To detect the motion from almost every side.

Keywords: Smart Walking Stick, Ultrasonic Sensor, Mini DF Player

Abstract: Software-defined networking technology is an approach that decouples the data plane and control plane providing programmatically efficient network configuration in order to improve network performance and monitoring than traditional network management. The controller is a central unit that controls the SDN model. Through this controller, all the communication takes place. In spite of such capability, one of the difficulties of the SDN controller is a single point of failure hence If the controller fails or is hacked, the entire system will either fail or get corrupted. Multiple controllers help to improving the network reliability because the data plane can continue to operate even if one controller fails. Furthermore, a single SDN controller has many drawbacks on both performance and scalability. Thus, multiple controllers are required and critical for large-scale networks. This paper surveys latest researches on multiple controllers of SDN, benefits and challenges of multiple controllers are discussed after giving an overview of SDN and OpenFlow in the paper. Finally, we conclude this survey paper with some proposed works and suggested open research directions

Keywords: Software Defined Networking (SDN), OpenFlow, Multiple Controllers

Abstract: Covid-19 (Coronavirus Disease) is an infectious disease caused by a group of viruses named Coronavirus. It primarily affects the lungs of a person. With millions of death across the globe due to this virus, it is necessary to create a system that predicts whether a person is infected with the virus. The use of statistical and machine learning algorithms can be used for the early prediction of the disease. In this paper, a Deep Convolutional Neural Network(DCNN) has been used to predict whether a pair of lungs are infected with Covid-19 or Healthy or just Viral Pneumonia. Covid-19 Radiography dataset has been used to develop the CNN model to predict the presence of the disease in the lungs. In pre-processing, initially, the image data were normalized and feature extraction was carried out for enhanced accuracy. Finally, data augmentation increases the number of images that improves the accuracy of the proposed model. This paper discusses the classification accuracy, precision, recall, f-score and AUC score which are used as evaluation metrics for the proposed DCNN model. The performance of the proposed DCNN is compared with that of two pre-trained models: ResNet-50 and Inception-V3. The proposed model achieved a training accuracy of 98.86% and test accuracy of 94%. This project can help in the early prediction of the disease by using x-ray images of the lungs.

Keywords: Covid-19, Prediction, Convolution Neural Network, Accuracy, Radiograph, Classification

Abstract: In today’s fast-growing world of internet, we see most existing surveillance systems require human interaction where security guards watch the monitor wall and manually trigger alarms when they detect security violations. Due to the lack of attention of the operator, the possibility of missing alarms is high, even for well-trained security personnel. These issues lead to the need for an automated video surveillance system, an artificial intelligent system, which is designed to automatically tracks, security violations in a monitored scene. Video surveillance involves the act of observing a scene for a specific behavior that are improper, and by using the object detection algorithm detect the improper object and track that object. Video surveillance is having vast number of applications. The aim of the surveillance applications is to detect, track and classify targets. We have specifically focused on object detection.

Keywords: Video Surveillance, Detect, Object Detection

Abstract: This paper discusses different methods to enhance the efficiency and life of an electric vehicle. This document addresses many strategies for increasing an electric vehicle's efficiency and lifespan. To address the need for electric vehicle applications, many battery research and development are undertaken in both academia and industry. Lithium-ion batteries play a significant part in hybrid electric vehicles and are quite useful. Nanotechnology plays a critical role in extending the life of batteries. As a result, the usage of nanostructured materials in battery design is becoming more common. In this Review, we provide an overview of nanostructured materials that have been marketed or are on their way to commercialization for hybrid electric vehicle applications and those in development that have the potential to meet the needs of long-range electric vehicles.

Keywords: Electric Vehicles, Multi-functional EV Batteries, Nanochain Structure, Pb-Acid battery, Li-ion battery.

Abstract: Now a days internet of things (IoT) is a Booming topic with development of automation technology. Where homes of upcoming generation are becoming more and more self controlled and automated due to the facilities and comfortableness provided by the automated gadgets. we are moving Towards computerization world , where automatic systems are preferred over the manual system.so this project design is proposed using IR sensor for controlling lights and fans using arduino uno . when a person enters the room, counter is incremented by 1 then Lights and Fans will turn on. The lights turns off when the visitor counter is zero. Here LCD displays the number of persons present in the room. The arduino uno does the all above job . It receives the signals from IR sensors, and these signals are managed under the Control of program, which is operated through the PC and stored in the ROM .Arduino uno continuously monitor the Sensors. When any Object pass through the Senors the Rays of IR sensors Detect the object . This Obstruction is sensed by arduino uno and counts the number of person enters and leaves the room.

Keywords: IoT (Internet of Things ), IR (infrared)sensor , Arduino Uno , Home automation

Abstract: We are always looking for new and better ways to educate the young. Research suggests when children are having fun, they tend to learn better. In the teaching learning process, it is important that whatever the teacher explains is clearly understood by the students. By understanding, it is important that the particular concept taught is remembered by the student for a long time. So, there are many different traditional and modern ideas in the teaching learning process that are been used, So, therefore, this paper gives an overview on the traditional and modern ideas used in teaching learning process and also some different ideas that can be implemented in the teaching learning process which can be effective. By these innovative ideas, there can be surely a change in the teaching and learning which can be helpful to both teachers as well as students.

Keywords: Teaching learning process, innovative ideas, traditional and modern ideas

Abstract: The explosion of the Internet and mobile phones, as well as other rapid technological developments, has significantly influenced momentous changes in the payments market. Perceived as being more efficient and less expensive, electronic payments pave the way for the development of more sophisticated digital services in both the public and the private sector. This article provides an overview of electronic payment systems and their relation to recent developments in Rwanda. It summarizes existing card-based stored-value-payment initiatives in Rwanda and presents the current identity management infrastructure in the country as a potential enabler to support the development of a more comprehensive national electronic payment system. The researcher concludes by saying that electronic transfer funds have been around for many years and the economy has greatly benefited from this technological advance. An electronic payment system such as credit cards has facilitated monetary transactions and even provides a way to finance everyday purchases through credit.

Keywords: e-payment, transactions, online, ATMs

Abstract: In today’s world, the rising popularity of the Web has drastically expanded the probability of sharing significant information and knowledge on a large scale certainly not seen before. Owing to the availability of the bulk amount of data, the search services on the World Wide Web (WWW) are causing more demand among users. Regardless of beneficial part by conventional term-based search engines, precise filtering and retrieving relevant data from the Web to reduce network load is considered as a challenging task.