Electronic data has been created today in large quantities requiring data recovery services organization’s work may experience the various type of disasters whether it was natural or man-made, which may result in huge loss of data. In our project we are using High Security Distribution and Rake Technology (HSDRT).This Project presents evaluation results for a high security disaster recovery system using distribution and rake technology. In an experimental evaluation, the encryption and spatial scrambling performance and the average response time have been estimated in terms of the data file size. Discussion is also provided on an effective shuffling algorithm to determine the dispersed location sites. The Data user verifies the document with the proof and decrypts the encrypted file if verification is correct. Finally, this paper describes a prototype system configuration for several practical network applications, including the hybrid utilization of cloud computing facilities and environments which are already commercialized.

MANET (Mobile Ad hoc Network) is a collection of battery-powered nodes that form dynamic network topology. As a result, energy consumption is a critical factor to increase the lifespan of mobile nodes. The link capacity of mobile nodes is also fixed and it is also not very easy to enhance the bandwidth of wireless medium. A key problem is the energy-based multipath routing in traditional ad hoc networks. If a single route in standard energy- based routing fails, it result is significant packet loss because connection failures occur unexpectedly or without warning and neighbors are unaware from this situation. To fix this problem, we proposes Link Capacity & Energy Aware based Multipath route Selection (LCEAM) scheme for enhance routing performance. LCEAM is a multi-path minimum bandwidth energy-based routing scheme that eliminates congestion while also improving energy quality and data transmission reliability. The multipath protocol eliminates the probability of congestion in this scheme, and energy aware routing often chooses the node/s which energy is/are more than the threshold energy level. In this research each data packet is transmitted to the neighbor by one or more different paths based on dynamically changing metrics. The equilibrium of multiple paths that considers the energy consumption at neighbors is further considered in path selection, which contributes to efficient use of the relay nodes and prevents early death of heavily involved nodes. The simulation results show that the LCEAM scheme performance is more better than the performance of AODV and AOMDV protocol. The LCEAM reduces the energy consumption across nodes, which contributes in a longer network life time.

For residential electricity users, the greatest electricity consumption is generally due to use of various electric appliances, like lighting devices, air conditioners, washing machines etc., for each user. With increasing use of electricity by these users, traditional fuel-type power generations may not able to provide sufficient electricity due to a lacking system upgrade. Furthermore, electricity users are not able to take initiative in participating in demand regulation under the single-direction power flow situation. This may force residential electricity users to face the risk of power outage. To overcome the problem, an application of the micro-grid is thus introduced, integrated into electric grid to provide sustainable energy sources for electricity supporting services to multiple electricity customers within a community. In this paper we proposed a model which generate the electricity by suing solar and thermal and provided to micro grid for fulfill the domestic user electricity demand.

This research documents an extensive study on the design and characterization of asphalt mixtures for use as road pavement material. Several aspects of asphalt mixtures were addressed using the state of the art laboratory test equipment and technical literature from different information sources. A systematic, simplified design approach was recommended in which asphalt mixtures are designed based on the locking point concept, analytical aggregate gradation method and fundamental mechanistic properties that describe the behavior of asphalt mixtures based on sound engineering principles. In this thesis be use the Marshall method for determining the actual percentage of the waste polythene. Waste plastic is accumulation all over the world causing serious environmental problems. This paper aims to study the Plastic Waste Mixed Bituminous Concrete Using Dry Process for Road Construction. The study evaluates the addition of shredded waste plastic in the bituminous concrete which results in significant increase in the stability value and Marshall Properties of mix. The study reveals that the use of waste plastic in bituminous concrete is safe and sustainable for road construction.

Liquid cooling framework is of extraordinary importance for ensuring the presentation of lithium-particle battery due to its great conductivity to keep battery working in a cool climate. In this paper, a fluid cooling framework for lithium-particle battery with changing contact surface is planned. Contact not entirely set in stone by the width of cooling plate. Numerical inference and mathematical investigation are directed to assess cooling execution and the utilization of siphon power. The outcomes show that rising bay mass stream can actually restrict the most extreme temperature, yet can't further develop temperature consistency essentially. In this review, the impact of the battery cooling framework configuration including aluminum cooling plate thickness and different place of cold plate on the cooling execution are examined by utilizing limited component strategies (FEM).

The natural resources getting exhausted so construction technology is moving toward the utilization of industrial waste in our we utilize copper slag in partial replacement of sand from 0% to 20% by weight using design mix by satisfying quality parameter M 25 grades were prepared and the different strength parameters i.e. compressive strength ,split tensile , flexure strength are consider and comparative analysis where done between conventional concrete and replaced concrete and results were obtained from specimen testing were satisfactory up to given percentage of replacement. Copper slag is one of the materials which are considered as waste materials in the production of copper, which can be used as partial replacement of fine aggregates in concrete. This study presents the results of an experimental study on various durability tests on concrete containing copper slag as partial Replacement of sand. This Study presents the results of an experimental study on various durability tests on containing copper slag as a partial replacement.

The heat exchange between circulating liquids is one of the most important physical processes and a large number of heat exchangers are used in different types of systems, e.g. in the process industry, in the nuclear power plant for compact heat exchangers, in HVAC systems, in the food industry, in cooling, etc.. In This Paper also comparisons between different baffle design arrangements are shown. Now a day’s mostly research done on helical baffle arrangement which gives better performance compared to segmental baffle and researcher gives some more design arrangement of baffles like trefoil-hole baffles, plate baffles, ladder-type fold baffle etc which gives better overall performance of shell and tube heat exchanger.

In the present age of innovation, medicinal field researchers are very much interested in disease classification for the analysis of disease. It is a point of concern because real treatment of this disease isn't found to date. Patients having this ailment must be spared if and just if it is found in the beginning period (arrange I and stage II). If it is identified in the last stage (arrange III and stage IV) at that point possibility of endurance will be exceptionally less. Machine learning and information mining system will assist medicinal with handling to handle with this issue. Cancer growth has different manifestations, for example, tumor, abnormal bleeding, more weight reduction, and so forth. It isn't vital that a wide range of tumors are harmful. Tumors are fundamental of two kinds one is benign and the other one is malignant. To give suitable treatment to the patients, side effects must be contemplated appropriately and a programmed expectation framework is required which will characterize the tumor into benevolent or harmful. In the present web world, the majority of information is created via web-based networking media or medicinal services sites. From this immense measure of information, side effects can be gotten by utilizing the information mining method, which will be further helpful for disease location or classification. This paper makes a study of such most recent research study that utilizes on the web and disconnected information for malignant growth arrangement.

For aesthetic reasons, several government organisations install timber guardrails on scenic highways and roads instead of traditional steel guardrails. To carry the huge tensile pressures induced by vehicle collision and transfer load to the posts, most acceptable timber guardrails rely on a continuous steel backing component. Due to the use of big, solid-sawn timber sections, these guardrails are relatively expensive and hefty. the guardrail framework to assimilate more energy and offer better security to the vehicle, an inflexible wooden blockout was supplanted by another crushable blockout plan that was assessed at the segment level. The new blockout was framed by three accident jars and set off at the corner, then, at that point was carried out in the full-scale mode.

Refrigeration is a process in which work is done to remove heat from one location to another. Refrigeration has many applications including but not limited to household refrigerators, industrial freezers, cryogenics, air conditioning, and heat pumps. In order to satisfy the Second Law of Thermodynamics, some form of work must be performed to accomplish this. The work is traditionally done by mechanical work but can also be done by magnetism, laser or other means. Since the turn of the century, there has been steady growth of application of refrigeration in preservation of perishable food products, agriculture and fishery. Refrigeration is a basic method of food preservation. All the refrigeration methods for food preservation are based on Reverse Carnot cycle, which explains Adiabatic and Isothermal Expansion and Compression. Basic components used in these cycles are Evaporator, Compressor, Condenser and Expansion Valve. Generally used cycle is Vapor Compression Cycle. Other cycles are Vapor Absorption Cycle, Gas Cycle. Other new methods of Refrigeration are Thermoelectric and Magnetic Refrigeration. Various types of refrigerants are used in these cycles based upon their properties, especially in response to safety and environmental concerns. Now the industry is moving to a new set of refrigerants developed or back to the natural refrigerants. In this paper, a review of available alternative refrigerants and their physical and chemical properties have been done. Selection of efficient, eco-friendly and safe refrigerant for future has been attempted in this paper through discussions.

We suggest in this work that with the assistance of imaging processing, plant disease detection systems can automatically detect the symptoms that occur on the leaves and stem of a plant, which in turn assists in the cultivation of healthy plants on a farm. These systems monitor the plant, including its leaves and stem, and if there is any variation noticed from the plant's characteristic attributes, that variation will be automatically identified and the user will also be informed of it. An analysis and evaluation of the disease detection technologies currently used in plant species has been presented here. The most recent advancement in the field of deep learning, known as the convolutional neural network (CNN), has significantly improved the accuracy of picture classification. This thesis is based on the pre-trained deep learning-based method for identifying plant illnesses. It was motivated by CNN's success in the picture classification field. The contribution of this work can be broken down into two categories: the first is the utilization of the most cutting-edge large-scale architecture available, such as AlexNet GoogleNet, for the recognition of plant diseases; the second is the application of baseline and transfer learning methods for making predictions for a dataset. The proposed model from CNN underwent training and testing using data sets obtained from the website. The proposed architecture was put through its paces in terms of training, testing, and experimentation and the results showed that it is capable of realizing a higher GoogleNet model getting of 99.10%. Precision in contrast to that of other models.