Skin-cancer is the most common type of cancer among all other types of cancers spreading both developed and developing countries. In this paper, a web service is developed in order to help physicians as well as individuals to upload an image and diagnose the particular types of lesions. Computer vision is used to analyse lesions on images by providing computers with somewhat similarity as humans do. For this a Convolution Neural Network (CNN) is used with multi classification on International Skin Imaging Collaboration (ISIC) 2018 dataset with HAM10000 images. This dataset is a meta-data which has various types of images with seven different labels. At first, the model is trained with a larger training set and saved in a zip folder. Secondly, a web service is created where users or a doctor can upload an image for classification. Thirdly, the images uploaded are pre-processed as there is noise, hairs on image. Techniques like resizing, normalisation, thresholding, black-hat filtering and inpainting are used for this purpose. After this, the saved model is called to define whether the uploaded image is benign or malignant. The experimental results reveal that the proposed model is superior in terms of detection and diagnosis accuracy as compared to modern methods.

We investigate the performance of a dual-hop intervehicular communications (IVC) system with relay selection strategy. We assume a generalized fading channel model, known as cascaded Rayleigh (also called n*Rayleigh), which involves the product of n independent Rayleigh random variables. This channel model provides a realistic description of IVC, in contrast to the conventional Rayleigh fading assumption, which is more suitable for cellular networks. Unlike existing works, which mainly consider double-Rayleigh fading channels (i.e, n = 2); our system model considers the general cascading order n; for which we derive an approximate analytic solution for the outage probability under the considered scenario. Also, in this study we propose a machine learning-based power allocation scheme to improve the link reliability in IVC. The analytical and simulation results show that both selective decode-and-forward (S-DF) and amplify-and-forward (S-AF) relaying schemes have the same diversity order in the high signal-to-noise ratio regime. In addition, our results indicate that machine learning algorithms can play a central role in selecting the best relay and allocation of transmission power.

Smartphones offer high portability and web availability simultaneously which has prompted a considerable increment in the number of people using social media progressing, particularly the 'Twenty to thirty- year-olds'. The over utilization of smartphones and social media has resulted in a few issues which include people's mental conditions. Our proposed paper shows on how much time the users spend time on their smartphones and social media, which seems to be increasing rapidly everywhere and considered to be a social problem, arising from a lack of offline social network that results in decreasing social engagements in real-life. This paper includes a survey android application from which user's survey data is analyzed, to look at the cause and effects of the utilization of smartphones and social media.

Sight is viewed as the most significant sense and the visually impaired individuals are seen upon with feel sorry for by others. Innovation encourages the visually impaired individuals to speak with nature, the correspondence procedure and the dispersal of data has gotten quick and on a more extensive scale to incorporate all pieces of the world which incredibly influenced to the human life, subsequently expanding the methods for amusement and comfort and diminished affliction and hardship in numerous things. We have surveyed the existing solutions meant for autonomous mobility for the visually impaired people. In this paper, we have proposed a novel structure, Smart Shoes with sensors installed in them to control an outwardly debilitated individual smoothly and to alarm him/her of the impediments that lay in front of him in his way. The structure is meant to build up a simple to utilise processing power of Arduino in conjunction with the object detection capability of ultrasonic sensor to oblige the extraordinary needs, used to manage the individual coextending the highlights of the Smart Shoes.

In recent years blockchain technology has become mainstream research topic because of its decentralized, peer to peer transaction and anonymity properties. There are several applications of blockchain which are secure and easy as compare to the current techniques. One of the applications is a smart contract. Smart contracts are lines of code which are stored on a blockchain and automatically executed when the conditions defined by the it (developer) are met. This smart contract with the addition of blockchain technology can do task fast and with high security. In this paper we have developed a smart contract for a generalized notary application on solidity, Ethereum and the application is tested using the truffle suite. Furthermore, applications and their methodology for notary applications are also mentioned.

Mobile crowd sensing (MSC) is a technique which uses these powerful devices – smartphones, tablet, computers, wearables devices to collect required data and extract information to measure, analyze, estimate or infer any processes of common interest. By using Participatory crown sensing technique, we are going to design an android application for parking system.

Sudoku is a very popular pass-time game that had gained a lot of popularity when it was published by The Times in London. We have used Java Server Faces (JSF) as a tool for Full-Stack development of the Sudoku as a web browser based game. By building this project we had gained a better understanding of the framework. In this work we present an algorithm for solving the Sudoku problem and a safe way of validating the results keeping scalability in mind.

A probability-theoretic problem under information constraints for the concept of optimal control over a noisy-memoryless channel is considered. For our \textit{Observer-Controller} block, i.e., the lossy joint-source-channel-coding (JSCC) scheme, after providing the relative mathematical expressions, we propose a \textit{Blahut-Arimoto}-type algorithm $-$ which is, to the best of our knowledge, for the first time. The algorithm efficiently finds the probability-mass-functions (PMFs) required for …………………………………

Bitcoin is considered to be most valuable and expensive currency in the world. Besides being first decentralized digital currency, its value has also experienced a steep increase, from around 1 dollar in 2010 to around 18000 in 2017. In recent years, it has attracted considerable attention in a diverse set of fields, including economics, finance and computer science. In economics, the primary focus has always been on studying how it affects the market, determining reasons behinds its price fluctuations, and predicting its future prices. In computer science, the focus is on its vulnerabilities, scalability, and other techno-cryptoeconomic issues. Firstly, we are going to collect the historical data of Bitcoin prices over the years 2013 to 2019 and do prediction for the year 2020. We have aimed to justify the usefulness of traditional Autoregressive Integrative Moving Average (ARIMA) model for predicting bitcoin prices. We have predicted the closing price of bitcoin for first seven days of January 2020. Further, we have created web services using ASP.NET to make the predictions on bitcoin price online and lastly, we have plotted the results in a responsive chart using Highcharts.

Drones-aided ubiquitous applications play more and more important roles in our daily life. Accurate recognition of drones is required in aviation management due to their potential risks and even disasters. Radio frequency (RF) fingerprinting-based recognition technology based on deep learning is considered as one of the effective approaches to extract hidden abstract features from RF data of drones. Existing deep learning-based methods are either a high computational burden or low accuracy. In this paper, we propose a deep complex-valued convolutional neural network (DC-CNN) method based on RF fingerprinting for recognizing different drones. Compared with existing recognition methods, the DC-CNN method has the advantages of high recognition accuracy, fast running time and small network complexity. Nine algorithm models and two datasets are used to represent the superior performance of our system. Experimental results show that our proposed DC-CNN can achieve recognition accuracy of 99.5\% and 74.1\% respectively on 4 and 8 classes of RF drone datasets.

The paper discusses about a symmetric encryption process called Fernet which is used for encrypting and decrypting the data. It also describes various types of attacks on encrypted data and why encryption is never 100% secure from attacks.

Web-Services can be referred as a family of technologies that standardized the communication of applications through world wide web in a cost-effective manner. Few of the major software vendors like IBM, Microsoft, Oracle, SAP are all embracing the web service standards into the newer versions of their applications which are web services enabled. All the constrains like cost, time, space for discovering, and e-business transactions can be solved easily by using web-services. With the introduction of these Web services design of the business application to provide service, integrating with other business entities, and conducting business transactions completely changed the working of a business organization. These web-services became a viable component in distributed E-Commerce platforms. In determining server response time, high speed communication systems along with computing capacity and network latency have become important. In web technologies a new model of architecture for distributed E-Commerce applications has been proposed which aims at integration and inter-operation between different platforms. In this paper we have proposed a model for developing an E-Commerce application using the Spring framework which helps in easy integration with other frameworks and solves most difficulties in an enterprise application development.

Application development has been in a trend for a while in which all small services can be scaled, deployed and tested independently. In this paper we have discussed the micro service architecture and moreover how to implement a simple set of micro services and integrating it with a memory database.

Secure communications is when two entities communicate with each other and the communication is completely secured from a third party or the intruder. This type of communication process can be achieved using encryption and decryption mechanism. The implementation of Email encryption is performed with the intension of showing the working of encryption and decryption mechanism. This web application allows user to send an encrypted electronic-mail to any domain and it can be only decrypted using the receiver's private key. Whereas, messaging android application was developed to replicate existing WhatsApp application to see whether, it performs end-to-end encryption or it's not what it seems. The application allows users to securely communicate with each other via performing actual end-to-end encryption.

The research paper focuses on automating software development process by automating the team formation by extracting information from the software requirement specification (SRS) document of the project.

This paper attempts to perform a comparative analysis of brain signals dataset using various machine learning classifiers such as random forest, gradient boosting, support vector machine, extra trees classifier. The comparative analysis is accomplished based on the performance parameters such as accuracy, area under the ROC curve (AUC), specificity, recall, and precision. The key focus of this paper is to exercise the machine learning practices over an Electroencephalogram (EEG) signals dataset provided by Rochester Institute of Technology and to provide meaningful results using the same. EEG signals are usually captivated to diagnose the problems related to the electrical activities of the brain as it tracks and records brain wave patterns to produce a definitive report on seizure activities of the brain. While exercising machine learning practices, various data preprocessing techniques were implemented to attain cleansed and organized data to predict better results and higher accuracy. Section II gives a comprehensive presurvey of existing work performed so far on the same; furthermore, section III sheds light on the dataset used for this research.

With new technologies, increasing mechanization and automation, almost all challenging social and economic issues that people face can be investigated towards a prediction or a solution. Digital technologies have connected the world in a single knot, but the technical knowhow does not contribute to solving these challenges. Encapsulation of technological advancement and social responsibility is highly needed. This calls for cross-regiment and inter-field solutions coupled with social enthusiasm. This survey provides a study on two aspects of social relations within a connected world. It also investigates and reviews solutions and work for advanced interactive technology. The survey draws on major insights from few researchers highlighted in our reference list.

Big Data faces many challenges with respect to the security while storing them on a cloud server. There is high chance of getting data viewed by the hacker and the server for performing various operations. In order to provide high level of confidentiality and integrity, a new Encryption technique is introduced known as Attribute Based Encryption (ABE), which instead of making use of the receiver’s public key for encryption, uses various attributes. As a future scope, ABE can be combined with Homomorphic Encryption (HE) to provide a secure transfer of the identity. In order to provide more privacy of data, web log Analyzer is used to find out the loopholes and the unauthorized access to the web data