International Journal of Trend in Scientific Research and Development

During the global pandemic COVID 19, the only way to stop the community spread of the Corona Virus is Social Distancing. COVID 19 apps are mobile software applications that use digital tracking to aid contact tracing in response to the COVID 19 pandemic, i.e. the process of identifying persons contacts who may have been in contact with an infected individual. Our application is one such application which directs people in the most basic way to maintain Social Distancing. Provision of certain features makes it feasible and reliable. Use of Swift was applied to prepare the application for IOS platform. 

In the era of new technologies, RPA is becoming apparent or prominent in companies. As it is emerging in a very fast pace. RPA tools have the capabilities of mimicking or executing of routine operations that are being performed by the human that has a high risk of a mistake but RPA is taking their place by giving them an accurate exposure but still, other work is to be done by humans only. The title ""Selection of Robotic process automation in the business process using RPA"" is a paper which is going to brief about RPA how is it impacting future. 

In the Field of Internet of Things IOT the devices by themselves can recognize the environment and conduct a certain functions by itself. IOT Devices majorly consist with sensors. Cloud Computing which is based in sensor networks manages huge amount of data which includes transferring and processing which takes delayed in service response time. As the growth of sensor network is increased, the demand to control and process the data on IOT devices is also increasing. 

Traffic sign recognition is one of the most important research topics for enabling autonomous vehicle driving systems. In order to be deployed in driving environments, intelligent transport system must be able to recognize and respond to exceptional road conditions such as traffic signs, highway work zones and imminent road works automatically. In this paper, Real time Myanmar Traffic Sign Recognition System RMTSRS is proposed. The incoming video stream is fed into computer vision. Then each incoming frames are segmented using color threshold method for traffic sign detection. A Histogram of Oriented Gradients HOG technique is used to extract the features from the segmented traffic sign and then RMTSRS classifies traffic sign types using Support Vector Machine SVM . The system achieves classification accuracy up to 98 . 

Mobile cloud learning, a combination of mobile learning and cloud computing, is a relatively new concept that holds considerable promise for future development and delivery in the education sectors. This paper investigates the use of a cloud computing environment to facilitate the teaching of web development at a university. A between subjects study of students in a web development course was conducted to assess the merits of a cloud computing environment instead of personal computers. A between subjects study of students in a web development course was conducted to assess the merits of a cloud computing environment instead of personal computers. . The main focus of this paper is to explore how cloud computing changes traditional mobile learning. 

An airbag is a vehicle occupant restraint system RS a bag designed to inflate extremely quick then quickly deflate during a collision. The concept of the airbag is a soft pillow to land against in a major crash. The first patent on an inflatable crash landing device for airplanes was filed during World War II. In 1980s, the first commercial airbags was appeared in automobiles. An adoption of airbags came during the late 1980s and early 1990s .In car a driver airbag, and a front passenger airbag is there and many modern vehicles now include six or more units Air bag is made of a thin, nylon fabric, which is folded and inside into steering wheel or dashboard or, more recently, the seat or door. Inside the car a sensor is the device that tells the bag to inflate it happens when there is a collision force equal to running into a brick wall at 10 to 15 miles per hour 16 to 24 km per hour . GPS stands for Global Positioning System. GPS is a satellite navigation system used to determine the ground position of an object for eg. land etc. GPS technology was first used by the US military .In 1960s expanded into civilian use over the next few decades. Today, GPS receivers are included in many commercial products, such as automobiles, smartphones, exercise watches, and GIS devices etc. In GPS system it includes 24 satellites which is deployed in space about 12,000 miles 19,300 kilometers above the earths surface. The orbit of earth once every 12 hours at an extremely fast pace of roughly 7,000 miles per hour 11,200 kilometers per hour . A GPS satellite broadcasts a message which include the satellites current position, orbit, and exact time. Each GPS receiver combines the broadcasts from various multiple satellites to calculate its exact position using a process called triangulation. Three satellites are required in order to determine a receivers location, though a connection to four satellites is ideal since it provides greater accuracy. Working of GPS, it should establish a connection to the required number of satellites. For example, cars GPS unit is typically faster than the receiver in a watch or smartphone. Introduction The vehicle's crash sensors provide crucial information to the airbag electronic controller unit ECU which gives signals to car maker server. Server sends message to 1. Nearest hospital of accident location. 2. Nearest Police station of accident location. 3. Family member. Location will be track by GPS Global Position System using GPS API. Top causes of car accidents Car accident can lead a several unwanted permanent injuries, consequences, loss of earnings, etc. 

Cloud computing is internet based computing technique where in systems are interconnected with sharing resources through every different. At present, every organization generates in huge volume of data in digital format that required the secure storage services. Data backup and Disaster Recovery Business Continuity issues are becoming fundamental in networks since the importance and social value of digital data is continuously increasing. Organization requires a Business Continuity Plan BCP or Disaster Recovery Plan DRP and data backup which falls within the cost constraints while achieving the target recovery requirements in terms of recovery time objective RTO and recovery point objective RPO .Site recovery contributes to your business continuity and disaster recovery BCDR strategy, by orchestrating and automating replication of azure VMs between regions, on premises Virtual Machines and physical servers to azure, and on premises machines to a secondary datacenter. The proposed system provides an extensive disaster recovery management using Microsoft Azure Recovery Vault Service. A back up is process on daily basis. Which helps to Small And Medium Sized Enterprises SMEs to cut down their costs on expensive IT infrastructure and reduce the burden on IT environment. 

Nowadays as the world is heading towards the smart cities and automation is available in each and every prospect. The automations are available in each and every field. 

The medical field is very important. In military and also for the person who is not physically fit. Those person required physiotherapy to monitor and making exercise to make fit. 

The cost of physical rehabilitation technique is too high for the long period. In this paper the kinet based technique for physical rehabilitation is design. 

The program is developed in MATLAB software. The algorithm is developed by using supervised learning model. 

by Nitu Sharma "Intelligent Exercise System" 

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-6 , October 2018, 

As the population increases result in rise in the occurrences of accident .The person need a physical exercise as followed by doctor to overcome the injury happed during accident. The every individual also required proper physical exercise. 

This paper explains the automatic intelligent exercise system. The system is implemented with the help of kinet sensor. The camera is very efficient it will track a person at a distance of 10 to 15 foot. 

The framework forms profundity data to overcome the deficiencies of a formerly introduced 2D vision framework for a similar application. A review literature on human motion recognition techniques used in Kinet applications. 

We provide a classification of motion recognition techniques to highlight the different approaches used in human motion recognition. 

by Nitu Sharma | Nitin Janwe "To Design and Develop Intelligent Exercise System" 

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-6 , October 2018, 

We introduce a class of linear quantile regression estimators for panel data. Our framework contains dynamic auto regressive models, models with general predetermined regressors, and models with multiple individual e?ects as special cases. We follow a correlated random-e?ects approach, and rely on additional layers of quantile regressions as a flexible tool to model conditional distributions. Conditions are given under which the model is nonparametrically identified in static or Markovian dynamic models. We develop a sequential method-of-moment approach for estimation, and compute the estimator using an iterative algorithm that exploits the computational simplicity of ordinary quantile regression in each iteration step. 

Finally, a Monte-Carlo exercise and an application to measure the e?ect of smoking during pregnancy on children's birth weights complete the paper. K-means and K-medoids clustering algorithms are widely used for many practical applications. Original k-mean and k-medoids algorithms select initial centroids and medoids randomly that affect the quality of the resulting clusters and sometimes it generates unstable and empty clusters which are meaningless. The original k-means and k-mediods algorithm is computationally expensive and requires time proportional to the product of the number of data items, number of clusters and the number of iterations. 

The new approach for the k mean algorithm eliminates the deficiency of exiting k mean. It first calculates the initial centroids k as per requirements of users and then gives better, effective and stable cluster. It also takes less execution time because it eliminates unnecessary distance computation by using previous iteration. The new approach for k- medoids selects initial k medoids systematically based on initial centroids. It generates stable clusters to improve accuracy. 

By Ritesh Kumar Pandey | Dr Asha Ambhaikar" Data Imputation Methods and Technologies" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4 , June 2018, 

Data imputing uses to posit missing data values, as missing data have a negative effect on the computation validity of models. This study develops a genetic algorithm (GA) to optimize imputing for missing cost data of fans used in road tunnels by the Swedish Transport Administration (Trafikverket). GA uses to impute the missing cost data using an optimized valid data period. 

The results show highly correlated data (R- squared 0.99) after imputing the missing data. Therefore, GA provides a wide search space to optimize imputing and create complete data. The complete data can be used for forecasting and life cycle cost analysis. 

By Ritesh Kumar Pandey | Dr Asha Ambhaikar" Data Imputation by Soft Computing" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4 , June 2018, 

As we know that blood is a saver of all existing lives. There is an expectation that the blood will always be there when it is really needed. Emergency situations, such as accidents, create an immediate and critical need for special blood types. In addition, advances in medicine have also increased the need of blood for various treatments and surgeries. 

In short, blood is a saver of all existing lives. So in such emergency cases, it is difficult for hospital staff to collect blood in case of shortage of blood without having appropriate resources. Our system solves this problem. This project is developed by three perspective i.e. hospital, blood bank and patient/donor. This project is to build a web-based online blood donation system, named Life Saver System. 

This system provides an online platform for a quick access to the required donor. Android application is proposed to search the donors who are available nearby during the emergency cases. In this application we are using the GPS technology that will be used for tracing the donors. 

Mrunal Dakshini | Rohit Kundu | Natasha Rokade | Anuja Kochar "Cede Blood-Life Saver System" 

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-3 , April 2018, 

Indexed Journal, Real-time Computing Journal