VOLUME 9, ISSUE 5, MAY 2020

Abstract: RGB color images are among the most important types of digital data circulating in the Internet and through various social media.  RGB color image may contains confidential information, or the signal may be of a personal nature, which requires preventing its understanding from unauthorized entities or persons and therefore this signal must be encrypted.  In this paper, we will discuss a new method for encrypting the RGB color images based on adding a random noise and image rearrangement.  The method will be run to measure its efficiency and the extent to which it achieves the level of security and protection. The experimental results will be analysed to prove the proposed method efficiency factors.

Keywords: RGB color image, YIQ image, random noise, PMT, MSE, PSNR, encryption time, decryption time, requirements.

Abstract: The luggage tracking system is designed to track the luggage and bags which get lost or theft from the public and other areas. The luggage tracking system works on a buzzer basis where a buzzer is set up with the Arduino, GSM module and a GPS module. Also, the buzzer is turned on as soon as the bag is theft and goes outside a particular range. Furthermore, the flash message of device location is generated by which we can track the location of the bag through the Google map. In this, the IOT components are being used like a GSM module and a GPS module to track the bag and a frontend or mobile application is created to monitor. Keywords: GSM module, GPS Module, Luggage tracking, map, IOT, Arduino Board, Bluetooth

Abstract: The new era of 5G will bring together improves connectivity of the devices and sensors. The centralized database to take care of all the transactions carried out in the depot. Based on the architecture of depot, is required to design a suitable database to manage all the records and it is easy to use the interface with all validation rules have to be design, nowadays security systems are more advanced can be implemented. A centralized database has developed to monitor the transaction of the depots. Each depot activities has to manage by respective divisional manager. Depot manager can able to view all the depots activities in fingertips. It is an android application developed to provide the smart interaction between the employees about transactions carried out at the bus depot. The details of the bus such as bus route, bus spares, maintained washing facilities, bus parking area, bus refuelling, internal cleaning, and supply of the buses with pressurized air, arrival and departed of buses from depot. The daily revenue collect from each buses is maintain along with drivers and conductors through an application. The target use of this application is to avoid malpractices and paper-pen concept. So, helps employees of bus depot to get required advantages and information on few clicks. Keywords: Depot, Ledger, Manual entries, Database, Devices and Sensors, Digitalization

Abstract:  Solar panel has been used increasingly in recent years to convert solar energy to electrical energy. The solar panel can be used either as a stand-alone system or as a large solar system that is connected to the electricity grids. The earth receives 84 Terawatts of power and our world consumes about 12 Terawatts of power per day. We are trying to consume more energy from the sun using solar panel. In order to maximize the conversion from solar to electrical energy, the solar panels have to be positioned perpendicular to the sun. Thus, the tracking of the sun location and positioning of the solar panel are important. The goal in this paper is to design an automatic tracking system, which can locate position of the sun. The tracking system will move the solar panel so that it is positioned perpendicular to the sun for maximum energy conversion at all time. Photo resistors will be used as sensors in this system. The system will consist of light sensing system, microcontroller, gear motor system, and a solar panel. Our system will output up to 40% more energy than solar panels without tracking systems.

Keywords: Eco-Friendly, Efficient, Cheaper, Tracking

Abstract: In this paper we are designing a solar powered water purification system using solar PV system. An ultraviolet water treatment system is designed and built to demonstrate the capability water treatment. The system is specifically designed for the destruction of bacterial contaminants and to meet the needs of a family Only sunlight is required to power the purification system. An array of solar panel collects energy from sunlight and charges a 12V battery using Photovoltaic Effect. The stored electricity is used to power ultraviolet bulb. The UV    radiation disrupts the bacteria and produces a source of portable water

Keywords: Eco-Friendly, Efficient, One Time Investment, Cheaper Maintenance

Abstract: The Main objective of the project we have designed is to remove or improve the old wet towel method that has been used for controlling the body temperature from earlier times because it may cause many allergic diseases. Automatic body temperature controller is revolutionary fever control system which can reduce temperature effectively without interrupting the function that fever can do with bacterial infection. This system controls the body temperature with the help of advanced cooling pads and it may have one or more advance cooling pads. This project contains temperature sensors, peltier module, cooling pads and intelligent circuit that can work cooperatively with other pads if we use more than one. It decreases human body temperature externally by the help of latest technology. Keywords: Peltier Module, ATMEGA 328, Cooling Pads, LCD, Fever Control

Abstract: This paper gives the complete overview of working of bitcoin and what are the problems will it face in the near future? It depicts the difference between the proposed theoretical architecture and current practical implementation of secure hash algorithm.  The reason for proposing alternative secure hashing algorithm called SHA-512 replacing the most successful SHA-256 hashing algorithm is the evolution of quantum computers which has an ability to crack the hashing algorithm.

Keywords: Bit coin, Hashing Algorithms, Quantum Computers

Abstract: IoT attempts to help people Internet-connected devices, applications, and services anytime and anywhere. However, how providing an efficient method of interaction between people and IoT devices is still an open challenge. The proposed interaction system called IoT Interaction, where users can control an IoT device by gazing at it and doing simple gestures. The system mainly consists of four categories such as object detection module , gaze estimation , hand gestures , IOT controller module . A selected device is identified by various deep learning-based gaze estimation and object detection techniques. Finally, hand gesture recognition is applied to generate an IoT device control command which is transmitted to the IoT platform. The method is used for Visually Challenged Peoples. Keywords: Deep Learning, Gaze Estimation, IoT, Object Detection, Smart Interaction.

Abstract: The libraries are an organized collection of different sources of information where an individual can easily borrow the information in the form of a book/journals or can refer to the sources there itself. Modern libraries simply work using manpower and are time inefficient. But the use of the digital library makes the performance of using the library to be more efficient by providing quick access to services and information. This project aims to design and implement a digital and virtual access library for monitoring and controlling transactions in the library. Autonomous Integrated Library (AI-L) is a next-generation library for non-academic or academic libraries in which every single task will be done digitally i.e. by using an android application by the user and web application by the administrator. Both interface will share common centralized real-time cloud database. Autonomous Integrated Library will be a paperless library system in which there will be no complexity for the librarian to maintain records of the borrower manually rather all the information is saved digitally in cloud and the information is also available in real-time.

Keywords: AI Library, Cloud Library, Virtual Library, Remote Access Library, Digital Library, E-Library, Smart Library, Automated Library, Library Management System, Cloud Application, Android Application

Abstract: One of the most complex creation of the universe is a Human Brain.  A human being is known for efficiently using his brain.  The human intelligence can be stored in a virtual brain which is widely known as "Blue Brain". That means machines can also replace human brains. The main motto is that, the ultimate source of information and innovation must be preserved. Clearly speaking, a normal human being will not be alive forever but the knowledge of the brain should be used even after his death. The main goal of neuroscience is understanding the biologically related mechanisms that are responsible for mental activity of human brain. In focus, the study of cerebral cortex is the most challenging task for science in near future. Presently scientists are researching to create an artificial brain that can accomplish the tasks like thinking, responding, taking up decisions and keeping everything in memory. So that after a human's death the virtualized brain contains his intelligence, knowledge, personalities, feelings and memories of that man which can be used for developing the society.

Keywords: Blue Brain Project (BBP), Cerebral cortex, Neuron, Blue Gene.

Keywords: Data set, Machine learning, Algorithms, Stroke, Data training.

Abstract: Mobile Ad Hoc Network (MANET) is a cluster of portable wireless nodes that energetically organize an interim system. MANETs typically configured without any single control unit; devices operating in a MANET depend on external groups to route information towards their targets. There may be risks of various forms of malware attacks in these networks that can trigger the whole system to break. The black hole attack is one of the noteworthy outbreaks in the most prevalent on-demand routing protocols ad hoc network. In this paper, a novel approach proposed to find the black hole attacks in MANETs and to protect against the threat. The method proposed is based on promiscuous listening and is used to identify nodes that misbehave. For a particular node, the number of data packets lost and the number of data packets successfully transmitted can be identified by the node constitutes a criterion for labeling the node as either disobeying or well-behaving. Based on the threshold value, disobeying and well behaving nodes are identified. Once finding a disobeying node, the finding node tries to stop the node from being misbehaved and routes the packets through a separate direction to reach a secure route. The metrics such as packet size, overhead, average End to end delay evaluated by simulation. The result shows that in the presence of black holes with minimum delay and better packet delivery ratio. The proposed black hole AODV outperforms than the traditional AODV. Keywords: On-Demand distance vector, Proactive, Replication, Routing Information table.

Abstract: Vehicular communication systems are computer networks in which vehicles are the communicating nodes, providing one another with information, like safety warnings and traffic information. They can be effective in avoiding accidents and traffic jams. This vehicular communication will collect different vehicular parameters as sensor values from Electronic/Engine Control Units (ECUs). The paper focuses on the implementation of vehicular communication systems that will collect vehicle related data and transmit it over Wi-Fi or USB to serial converter to the vehicle. Also sending emergency alerts to the respective people and authorities if an accident occurs. This system can be installed in any vehicle. Implementation of the system is done using Arduino, GPS sensor, Hall Effect sensor (speed sensor), Wi-Fi modem and various others.  

Keywords: ECU, Sensors, USB to serial converter, Vehicular communication systems, Wi-Fi

Abstract: Stock market, a notorious very dynamic place where every unprecedented event makes profit and losses in huge scale. This very project aims to predict the ups and downs in market with intraday or holding shares, providing user with insights as per the last 10 years of data visualized and analyzed for a company. We have used very famous Monte-Carlo method to fit the random nature of market into our simulations which mimics the market randomness for best fit result i.e. closing price prediction of company’s stock in a market day. The visualizations of data are done using python libraries which produces heat maps, bar graphs, continuous graphs for last 10 years of data and helps in proper study of market behavior for particular day under study. Keywords: Closing Price, Intraday, Market Prediction, Monte-Carlo, Stock Analysis, Stock loss, Share Market, Stock Prediction, Stock Profit.

Abstract: Early identification of lung cancer includes detection of uncertain nodules and classifying them into different condition of disease. The identification stage includes pattern matching and confirmation to increase accuracy, performed by fuzzy logic, support vector machine, statistical classifiers. The categorization stage involves matching characters (texture, shape and density) of the detected nodules to characters of normal cells (texture, shape and density) of nodules with known condition of disease (confirmed by sample extraction techniques). The nodule detection is mainly considered as it plays an important role in cancer detection nodules extracted are classified using neural network classifiers to differentiate between normal and abnormal lung cancer.

Keywords: LungNodule, Image Acquisition, Pre-Processing, Segmentation, Feature Extraction.

Abstract: Road accidents are a very common issue nowadays. The fatal road accident leads to a loss of several lives daily. The present innovation is proposed to analyze the same matter and will bring a change accordingly. The road accidents are mainly caused due to the excessive light conditions, drunk and driving, the bad road surfaces, and worse weather conditions. These causes are prime reasons for road accidents. The relationship between fatal rate and other attributes including collision manner, weather, surface condition and drunk driver was investigated. The algorithm discovered association rules and classification model was built.  The main purpose of the proposed system is to develop a prototype of an IoT based bike black box. This system can be installed in any vehicle. The system can be implemented with minimum hardware, using a Wi-Fi module for sending the data to the user. 

Keywords: cloud, controller, Internet of Things, MQ9, Sensors, Wi-Fi.

Abstract: Since the mid-90s, utilization of the web has augmented in different structures. Individuals are conveying utilizing different appearances. With this humungous development of web traffic, distinctive online web- based platforms, for example, Facebook, Twitter, LinkedIn, and so forth, are likewise getting popular. Billions of clients are imparting their insight on various perspectives on websites, for example, Facebook, Tumbler, Twitter, glint, LinkedIn, and so forth. Twitter is the most well-known small-scale blogging and person to person communication administration, which gives an office to clients to sharing, conveying, and translating 140 words' posts known as a tweet. Twitter has 320 Million month to month dynamic clients. It is open through site interface, SMS, or portable gadgets. Characteristic language handling is additionally assuming a major job and can be utilized by the suppositions communicated. In this project, the authors are trying to analyze the users’ sentiment on tweets collected from different sources on the IMDB movie reviews. The project successfully predicts if the sentiment of the review will be of a negative or positive polarity. In this paper, the authors came across different methods of implementations and identified various techniques through which features of the reviews can be defined considering it either as single entities or a whole document. The authors of this project implemented a technique called distributed representation of sentences and documents, which ultimately gave them the highest accuracy among all the models they implemented.

Keywords: Machine Learning, Sentiment Analysis, IMDB, Random Forest, ANN, SVM

Abstract: Logistics is normally outsourced to Logistics Service Providers(LSPs) by Customers so that they can continue to focus on other important activities that they are specialized in, which improves efficiency and lowers logistics costs. Selection of LSP, optimal pricing and performance of the LSP has a significant impact on the profitability of the company and customer satisfaction.  Currently, the process of issuing Request for Quote (RFQ) to LSPs, securing rates, negotiation and selection of LSP is done manually either over phone/mail and managed through spreadsheets. The current process is not transparent and not very efficient due to manual processes. Further, verification/audit of freight bills is done manually which is prone to errors and does not address the issue of excess/double billing. Assigning of General Ledger (GL) codes to freight bills during accounting of freight costs, (based on shipment parameters), i.e being done manually through excel sheets, With increase in demand for logistics due to free international trade, there is a requirement for a cloud based Business to Business(B2B) e-commerce tool which offers companies to secure quotes, negotiate rates, facilitate submission of freight invoices by LSP and enable companies to verify freight invoices against agreed rates.. This paper discusses “AirfreightPro”, a collaborative cloud based tool which attempts to solves the problems faced in existing system by automating the freight contracting process right from issue of RFQ, securing rates,   award of contract and also enable LSP to submit freight invoices online to the Customer. The tool makes use of “Blockchain” methodology of distributed ledger to facilitate timely payments and avoid excess payments.

Keywords: Logistics Service Providers(LSPs), Customer, Invoice-Audit, Orders, AirfreightPro, GLCode, Request for Quote (RFQ),Blockchain.

Abstract: In cloud computing, data generated in electronic form are in large amount. To maintain this data efficiently, there is a necessity of data recovery services. To cater this, in this topic we propose a smart remote data backup plan using Seed Block Algorithm (SBA) with Advance Encryption Standard (AES) algorithm. In this topic we are proposing a procedure which allows users to store their data onto the cloud, as soon as the file is stored at the first cloud server it gets encrypted using AES. In case if the certain file gets deleted due to any reason, AES helps to recover that file from a backup file which is stored at a remote location. The time related issues are also being solved by proposed method such that it will take minimum time for the recovery process. Proposed method also focuses on the security concept for the back-up files stored at remote server using AES encryption algorithm.

Keywords: Seed Block Algorithm, AES, Cloud back-up, Remote cloud, Main Cloud.

Abstract: Object Detection using Haar feature-based cascade classifiers is an effective object detection method, "Rapid Object Detection using a Boosted Cascade of Simple Features". It is a machine learning based approach where a cascade function is trained from a lot of positive and negative images. It is then used to detect objects in other images. Moving object identification and tracking motion is the base source to extract vital information regarding moving objects from sequences in continuous image-based surveillance systems. An advanced approach to motion detection for automatic image analysis has been presented in the paper. This achieves complete detection of moving object which is robust against of changes in brightness, dynamic variations in the surrounding environment and noise from the background. The proposed method is a pixel dependent and non-parametrized approach that is based on first frame to build the model. The detection of the foreground which represents the object and background which is the surrounding of the environment starts once the subsequent frame is captured. It utilizes unique tracking methodology that identifies and eliminates the ghost object from dissolving into the background of the frame. The proposed algorithm has been test implemented on several open source image by imposing single set of variables to overcome shortcomings of relevant and recently developed techniques.

Keywords: Object Tracking, Motion Detection, Background Subtraction, Normalized Cut Segmentation, Video Surveillance, etc.

Abstract: Audio to video conversion consists of the development of a contributory software for hearing aided people, Audio to video conversion records audio and produces sign language video of that audio. The goal of this application is to create the foundation for a spatial platform for aided people. The application has a user-friendly interface. A folder will consist of videos of alphabets and numeric sets, to convert each line into the sign language word by word. It is a standalone software for personal computers so no user database is maintained and no registration is required, but data of their previously converted audios is maintained. A line on the screen will appear prompting the user to give the input audio which has to be converted, the user can either say it or play the audio, you can also use earphones to give the audio input. This application records the audio maintaining a minimum threshold of audio using python packages like pyaudio and wave. The application will process the audio using the python library called speech recognition which will convert audio into text. Using the requests module of python we extract the video files from an online platform handspeak.com, moviepy.editor is being used for editing the video for giving the desired output. The python module shutil is used to copy the extracted video file into a folder called cache where the user can access the converted audio to video. “Audio to video conversion” is developed using python and it’s advanced libraries. A simple atom editor is used for coding and importing the required modules.  

Keywords: Interface, Standalone, Threshold, pyaudio, Shutil.

Abstract: Altered trajectories of brain growth are often reported in Autism Spectrum Disorder (ASD), particularly during the first year of life. However, less is known about prenatal head growth trajectories, and no study has examined the relation with postnatal autistic symptom severity. Propose the system to predict the autism in fetal brain using features extraction  and classification techniques using Radial basis function. The main scope of project is to identify autism in fetal brain images using radial basis function with improved accuracy rate. MRI imaging is one of the most popular medical imaging technologies that can help a physician evaluate, diagnose and treat medical conditions. Present an accurate detection of Autism Disorder from fetal MRI. Identify grey matter composition in the brain. Assessed the relation between repeatedly measured fetal brain and autistic traits using latent growth curve modelling based on radial basis function. Keywords: Magenetic resonance imaging, fetal brain classification, fetal brain segmentation, active countor, CNN.

Abstract: Electronic Data Interchange is a process of exchange of data present in one format to another among business partners. The data exchange process takes place between computers of different business units which follow a standard format. EDI process is a commitment among business partners, makes the exchange of information more efficient. EDI process makes organization more responsive to consumer needs via easier order cycles. EDI technology reduces cost by reducing paper usage, mail expense and manual errors occurred during data entry. Enterprise Resource Planning is a system which facilitates the exchange of information among all the internal business functionalities of an organizations and manages all the information flow to business partners. The document exchanged among firms are given as input to respective organizations ERP system. EDI Translation Process is the fundamental economical process of a company whose output documents are used as input to the ERP system. Keywords: Business Partners, EDI Translation Process, Electronic Data Interchange, Enterprise Resource Planning.

Abstract: The main aim of this project is to provide user-friendly environment to the student to get the Bonafide certification in online and to apply education loan in online. Here an interactive web application will be created for client server process. All the process has been computerized in this application for further file reference. All the information will be updated in the centralized web server and updated in the database. It also delivers information about various details of education loans which are provided for students. Additional features are added in this like document uploading and immediate response to the students by sms or mail.

Keywords: Bonafide certifications, web server, file reference, sms or mail

Abstract: Nowadays, sustainable development is considered a key concept and solution in creating a promising and prosperous future for human societies. Nevertheless, there are some predicted and unpredicted problems that epidemic diseases are real and complex problems. Hence, in this research work, a serious challenge in the sustainable development process was investigated using the classification of confirmed, death, and recovery cases of COVID-19 as one of the epidemic diseases. The inception of the coronavirus was the fish market of Wuhan city, Hubei territory in China. The instances of somebody experiencing COVID-19 can be followed back to the finish of December 2019 in China. This is the most irresistible malady and spread worldwide inside a quarter of a year after the main case announced. The complete name of the coronavirus is serious intense respiratory disorder SARS-CoV. Thus, the data mining predictive modelling method of data handling and predictive or forecasting the spread of COVID-19 virus. The full name of the coronavirus is severe acute respiratory syndrome SARS-CoV. It spread on humans as well as animals and infected around 213 countries and territories with 6,399,977 confirm cases and 378,065 deaths till 2 June 2020.  This study introduces the spreading pattern of COVID-19 in the top ten infected countries.  After China, European countries are the most infected ones. In this study, data was analysed on the attributes confirmed, active, recovered and death cases and the next 14 days outbreak prediction.  This research work mainly works on worldwide COVID 19 data analysis and forecasting by using fbprophet. Prophet it is a python library package used for forecasting time series data based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonally, plus holiday’s effect. Being the COVID-19 pandemic during a very short time span, it is very important to analyze the trend of these spread and infected cases. The real-time datasets are used in this project and it plotted on the worldwide map. Firstly analyse the no. of infected people around the world, the no. of people who died, and the no. of recovered people in the world on the basis of real-time data. Secondly predicting and visualizing the Number of COVID-cases in India using the Fbprophet algorithm.

Keywords: Analysis and Visualization, Time Series, Fbprophet, COVID-19

Abstract: Large collection of data sets includes different types such as structured, unstructured and semi-structured data. This data is categories as “Big Data” due to its absolute volume, variety and velocity. Traditional data management, warehousing and analysis system fall short of tools to analyze this data. Big data exceeds the processing capability of traditional database to capture, manage, and process the voluminous amount of data. Due to its specific nature of Big Data, in this paper we first introduce the big data is stored in distributed file system architectures. Hadoop and HDFS by Apache is widely used for storing and managing Big Data and the data processing is done by the Map Reduced system. To process or analyse this huge amount of data or extracting meaningful information is a challenging task.  

Keywords: Big Data, HDFS, Map Reduced, Cluster.

Abstract: In the contemporary world no society in any country has a single ideology, especially in a democratic country like India. As any other country, we also have right-wing which enforces nationalism, conservatism and left-wing which is based on liberalism. Also, due to the growth of the Internet, social media has emerged as a great platform for people to express their opinions. Twitter has become a de facto standard platform for political based conversations. There are large numbers of tweets that are posted on twitter daily, most of them are biased towards right-wing or left-wing and the news reports from most of the media are also biased. In this paper we will present a machine learning model which can predict the bias in any given document for Indian context.  

Keywords: Political-Bias, Right-Wing, Left-Wing, Centre, Twitter.

Abstract: The problems faced by airlines market is not unique. But their large amount of unstructured data and incomplete information creates a problem for analytics to analyze these data. So analyzing the complex unstructured data by using traditional tools and techniques is an expensive task. Airlines needed a proper analysis result to increase their market and reduce expenses. In this paper, the analysis of the airline data set is performed using Spark-SQL and hive which runs Hadoop in the background. HDFS is used for storing huge amount of airlines data, Hive and spark have been used for querying the data in which hive uses HiveQL statements which runs on MapReduce framework and spark uses Spark-SQL which runs on spark framework. Data visualization has been done by extracting the output of the HIVE and SPARK query in excel and plotting the data using line and bar plot charts. The visualization of the data shows some patterns that exist different airlines delays caused by weather, security, NAS delay, late aircraft delay etc.

Keywords: Hadoop, airlines datasets, big data, MapReduce, HDFS, spark, data analysis, data visualization  

Keywords: M2M (Machine to Machine Communication), GSM and GPS technologies, IOT (Internet of Things).  

Abstract: The Wheelchair chair is an assistive device used by the physically challenged people to move from one place to another. But there is some sort of difficulties in manual operation of the wheelchair by the physically challenged people. The main objective of this paper is to develop a wheelchair cum stretcher operated by the Head gestured recognition system. This provides mobility assistance and posture stability for bed ridden people and physically challenged people. The wheelchair can be converted to stretcher with the help of two-way electric actuator attached along with linkage mechanism provided in the back rest, seat, and leg rest portion of the wheelchair. The mobility is provided using the Head gestured recognition system operated with the help of the Arduino microcontroller and accelerometer sensor which is a 3 axes sensor used to sense the gesture of the user and manipulates the signal to the driving unit i.e. To the motor driver which transmits the signal to the DC geared motion to move the wheelchair forward, backward, left or right respectively. Keywords: Arduino microcontroller, Accelerometer sensor, Two-way electric actuator, DC geared motor.

Abstract: Google Spreadsheet is a powerful tool to manage student records online. It is more than a Web 2.0 version of Microsoft Excel as it performs many functions that are not available in Excel. One of many uses of Google Spreadsheets that could be useful to lecturers is managing students' grades and attendance online. In this paper, the author wishes to present his innovative ways of managing students' grades and attendance records using the wonder of Google Spreadsheet. In order to experiment with the Google way of doing things, the author embarked on a self-directed learning journey of discovering the functionality of the tools. By immersing himself with hundreds of syntax used to create functions in Google Spreadsheet, he managed to create a number of potentially useful innovations, Java is one of the world's most important and widely used computer languages, and it has held this distinction for many years. Unlike some other computer languages whose influence has worn with the passage of time, while Java's has grown. Java is a high level, robust, object-oriented, and a secure and stable programming language but it is not a pure object-oriented language because it supports primitive data types like int, char etc. Java is a platform-independent language because it has runtime environments i.e. JRE and API. Here platform means a hardware or software environment in which application runs. Java codes are compiled into byte code or machine-independent code. This byte code is run on JVM (Java Virtual Machine). The syntax is Java is almost the same as C/C++. But java does not support low-level programming functions like pointers. The codes in Java are always written in the form of Classes and objects. As of 2020, Java is one of the most popular programming languages in use, especially for the client-server web applications. It has been estimated that there are around nine million Java developers inside the world.

Keywords: Google Spreadsheet, Java, JVM, JRE, API

Abstract: Credit card payment has become very popular today and it is the easiest payment method along with the greatest increase in the transactions of credit card. credit card also become increasingly rampant in the recent years. Credit card fraud events are takes place recurrently and results in a huge economical loss. there are different ways of modelling credti card fraud detection problem. therefore bank and other financial organizations offers a better suitable application for detecting the fraudulent transactions with much worth and request. Fraud transactions are occurred in different ways. those various type of fraud activities a can be detect by using already applied machine learning algorithms like random forest algorithm to agree if a specific transaction is non-fraud or fraud And K-means to balance the genuine transaction in the imbalance dataset. the data used in our experiments can be taken according to the private disclosure contract.

Keywords: Credit Card, Fraud Detection, K-means Algorithm, Random Forest Algorithm.

Abstract: Locating a parked vehicle in a big parking ground has become an elusive task that troubles the vehicle owner and parking management equally. Though, the alarm system of some modern cars helps a bit, other vehicles generally do not have such inbuilt embedded feature in it. The problem becomes even worse at night time. This project proposes an IoT solution to the aforementioned problem that lets the user find the real time location of their vehicle and trace the path via map. It also shows an effective solution to one of the problem statements of GIH (Gujrat Industrial Hackathon) 2018-19, problem ID- GIH144. To get the real time location of vehicle we have made use of GPS Technology. To fetch the GPS data, we used Neo 6m GPS module that gives raw data in the form of NMEA Sentences. Interpretation and processing of this data is done through NodeMCU which is an open source Lua based firmware for the ESP8266 WiFi SoC from Espressif. To program the microcontroller i.e., coding, compiling and ultimately flashing this code, we used Arduino which is also an open source electronic prototyping platform. In programming, TinyGPS++ library is used to process NMEA sentences, SoftwareSerial library for making serial communication between the GPS module and microcontroller, and functions related to WiFi are handled through the library ESP8266WiFi. To provide user interface to the user, the application made use of Blynk platform.

Keywords: Alarm System, IoT, Real time location, GPS, Neo 6m GPS module, NMEA sentences, NodeMCU, Lua, Firmware, ESP8266, SOC, Flashing, Arduino, Prototyping, TinyGPS++, SoftwareSerial, Blynk.

Abstract: In this paper we have surveyed three papers which use different methodologies for metal surface defect detection using image processing and deep learning. It also employees pattern reorganization for defect detection.  Keywords: image processing, deep learning, pattern reorganization