This paper focuses on the investigation of security of data in cloud computing environment. Intermittent nature of encryption and description scheme into the cloud computing becomes a challenging task and it also affects the security of the cloud data. The proposed model generates and step-up the secure data but also transforms the generated cloud secure data. Furthermore, to increase the security of data and stability of the overall cloud computing environment the cryptographic algorithm is most important for secure file. The cryptography is referring to share the file into cloud, secure manner, private, and integrity in efficient manner as this is related to hacker hack the file from cloud environment. Secure file or information in cloud computing environment in the efficient manner and taking care of all the problems at the time of file sharing is the most important for cryptographic algorithms. The researchers have researched on various algorithms for overcoming the security issues generating problem during the file sharing or uploading and downloading phase. We proposed lightweight scheme based elliptic curve cryptography on the Curve25519. This curve-based solution will be faster, secure and light-weight for storing the info into cloud storage. The suggested model is tested on CloudSim / Cloud Report environment and the results show its superiority over other existing method.

We are surrounded by technological mixes in today's culture. These developments have also brought us a majority in our daily lives. Gradually, such diverse technologies are combined to provide us with new skills and services. And the cornerstone of this convergence is most often a computer. That is the case with a so-called augmented reality device and is a very complicated mix of a broad spectrum of technology.

The Virtual Reality technology assimilates sophisticated input and output tools by encouraging users to communicate and observe digital reality as if it were in the present world. A virtual reality software often allows the consumer to search and interact in three dimensions with a digital or artificial environment created by the designer. The user does routine things like throwing a tennis ball or floating in space as exceptional within the simulated universe. And only a hand gesture or a smile can all these items come in. Virtual reality is a three-dimensional computer-centered interactive environment that simulates reality. Virtual reality takes us into an imaginary universe much like our own. To construct a framework in the increased truth, principles of spatial frameworks and machine graphs must therefore be created which are linked in effect to mathematics, physics, nature and human psychology.

This article deliberates the impact of aligned MHD flow in a Casson fluid on heat and flow transfer. The influence of various fluid parameter like Casson fluid parameter, magnetic parameter, Prandtl number, aligned angle parameter. The governing partial differential equations produced the heat and flow transportaion are moulded to ordinary differential equations by considering similarity transformations. The scientific results of the differential equations have been figure out by the Runge-Kutta Fehlberg rule with the help of shooting technique. The diversity in behavior of emerging parameters characterized graphically and their results have been discussed through table.

Noise Pollution is an everyday reality of a developing economy. This project seeks to convert the decibel levels of the unwanted noise to useful energy, serving 2 purposes: Working as a sustainable energy source that stores the electrical energy for future use and also indicating the noise levels in an area using a microphone and Arduino.

The sound vibrations cause waves of pressure which get translated into electrical energy with the help of Piezoelectric sensor. This energy passes through a bridge rectifier and a capacitor and is finally stored in a Lithium ion battery for future use while also displaying the decibel levels (dB) and verifying it on an app called “Sound Meter”, achieved with the help of Arduino. This is a sustainable source of energy and is highly cost effective making the product affordable to the masses.

This low cost device can be securely put in places encountering high level of sound. Airports, Industries, traffic intersections will provide the arena for this device to produce energy as well as serve as an indicator of noise pollution levels.

Urban arears, hospitals etc. can use this device to manage the sound pollution by tacking the data obtained. The applications of this product are endless as it serves as an inexpensive decibel-meter & a power bank. The product can easily be made handy to masses and corporations alike.

You can use tech for almost everything today-including removing the trash. With intelligent waste management technology, companies can track their trash more closely than ever before. Smart waste collection systems not only can help cut costs, but they can also help to reduce the environmental impact of your company. Garbage disposal has never been so high-tech, from garbage sensors to self-sorting garbage canisters. The Ebin waste management system is a smart waste container that uses a camera, sensors and artificial intelligence to automatically identify, sort and compress waste. When the tool determines the content, form and color of the waste, it is dispersed inside the container-plastics, paper or glass-into the appropriate bin. The waste is then compressed, so that the overall amount will be up to five times smaller. A self-sorting waste bin automatically notifies the waste disposal service once it has been filled in. It allows for optimization of collection routes to increase fuel efficiency. A waste management system not only addresses the issue of unsuitable waste sorting but it also monitors and sends data about the collected waste to an automated cloud. Your company will then use this knowledge to identify trends of customer use and decide more environmentally friendly alternatives for the product.

Heart disease is one of the most critical human diseases in the world and affects human life to a very large extent. An accurate and timely diagnosis of heart disease is important to treat and prevent a heart failure. Using machine learning techniques and the data procured by the health care industry, a disease can be detected, predicted and even cured. In this paper, the Naive Bayes, Linear Classifier, K-nearest Neighbour and Random Forest machine learning algorithms have been applied. The results of these four algorithms were compared on the basis of accuracy, specificity and sensitivity for prediction of disease.

The general public, policymakers and the automobile industry have developed a growing amount of interest in automotive safety. It is more than explained by the figures on road collisions, where around 1 a year. Thanks to road traffic collisions 2 million people die. This paper introduces a cost-effective crash warning system concept for low-budget cars. Rear-end crashes are typical crash situations, and driver fatigue is a major cause of such incidents and therefore does not respond on time. No security program is a substitution for the most critical safety device of any driver's car. Many vehicle manufactures now use revolutionary technology for a day to help warn drivers to stop crashes and reduce possible impact speed when a collision cannot be stopped. Another such feature is Collision Warning with Automatic Braking where the area in front of the car is constantly tracked with the aid of the long-range sensor and driver is alert in the case of a collision and with the brake assist for collisions with other cars, both driving and stationary. Additionally, if the driver fails to respond given the warning and the potential collision is considered inevitable; brakes are automatically applied to stop the vehicle. This helps to reduce the level of effect and therefore the chance of repercussions. Finally, it was discussed how, using traffic incident data, the utility of these programs can be measured from the real- life safety viewpoint.

In dry-lands across the world, more than two million people are facing difficulty accessing hygienic potable water. The poor people in the remote location of these areas cause a lot of worries to govern bodies to provide drinking water. It is difficult from an economic point to build and operate a water treatment plant, due to less requirement of water as population in these areas is sparse. In such a situation, a solar desalination device can be cost-effective, to produce distilled from brackish groundwater. The thermal efficiency of conventional solar stills is very low along with less productivity.

This experimental work is an attempt to increase the efficiency and productivity of solar still. The increased productivity will make solar distillation economically feasible for poor people. A naturally available phase change material like honey-bee wax has been packed inside a hollow aluminum plate and used as an absorber surface within a solar still. The wax maintains the temperature within 60oC and stores the excess heat for utilization after sunshine hours. The experimental study was done by comparing it with a conventional still under the same operating conditions. The still with inclined absorber surface shows a 45% increase in productivity. This is attributed due to extended hours of working of solar still beyond sunshine hours because of latent heat storage and the active model of water flow due to inclined absorber surface.

The reductions in the cost of smartphone in the last few years have ensured its reach to common people. Digital India mission has also given new dimension towards the sale of smartphones. Smartphones are now a need rather than a luxury. With the increased usage of smartphones there arises a problem related to its usage. The frequent usage invites more charge/discharge cycles of battery. The overcharging of battery reduces the life of battery. Hence, increasing the maintenance cost of device. Moreover, creates environmental issue related to the disposal of used batteries. A smart charger is devised to counter this problem. The proposed hardware not only addresses the issues related to the overcharging of battery but also provides a display of charge status through a display attached to the charger.

Haze in images is due to natural environmental phenomena, which makes the image in a white shade noise. Haze removal is one of the most important research topics these days due to popularity of applications in the real surveillance from drones or any area under security. Both indoor and outdoor images are important for testing haze and its removal. Many image processing techniques are made by researchers to remove haze in a single image. Haze intensity can be calculated by a parameter known as perceptual fog density (PFD). It is important to analyze this parameter for all the techniques so as to get an idea of improvement. In this paper, a new approach is made by applying globally guided filtering technique with deep neural network. This proposed algorithm is implemented on MATLAB software and results are obtained by calculating PFD in the existing and proposed technique. The four techniques are compared with each other. The techniques are global filtering (GIF), weighted global filtering (WGIF), globally guided filtering (GGIF) and proposed technique i.e. globally guided filtering with DNN (Deep Neural Network). In GIF, the fine structure of the image is generally not preserved, but in proposed algorithm, the PDF is the minimum with fine structure, color intensity of the picture is of the best quality.

The objective of this paper is to provide an overview on Augmented Reality (AR) and the main applications of this technology. It describes the various fields in which AR is applied nowadays or will be applied in the near future. It also provides a brief overview on AR devices and provides solutions to some common problems which can be improved with the help of AR. Some features of Augmented Reality will be conferred in this paper.