With the recognition of cloud computing, mobile devices will store/retrieve personal knowledge from anyplace at any time. Consequently, the information security drawback in mobile cloud becomes a lot of and a lot of severe and prevents more development of mobile cloud. There are substantial studies that are conducted to boost the cloud security. However, most of them do not seem to be applicable for mobile cloud since mobile devices solely have restricted computing resources and power. Solutions with low process overhead are in nice want for mobile cloud applications. In this paper, we have a tendency to propose a light-weight knowledge sharing theme (LDSS) for mobile cloud computing. It adopts CP-ABE, associate access management technology employed in traditional cloud atmosphere, however changes the structure of access management tree to create it appropriate for mobile cloud environments.

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Mobile technology is widely used in all classes of society. It is the most effective way of communication. Mobile phone use to send and receive text message, with wide area, high reliability, high popularity, easy development, low expenditure and other characteristics using Short Message service (SMS) technology. Using GSM module or network platform of short message, messages can be sent and received between the computer and the mobile terminal. Since the dependency has increased largely, it becomes difficult to live without it. The application intends to address this problem by retrieving data from mobile handset though it is not physically available with the user. The system can also be programmed to send specific SMS to redetermined number if any event or condition triggered. If your mobile phone is not available at the moment and you need to call a person urgently whose contact number is not available at that instant and also their email-id, unread SMS and missed calls from your phone. To get that specific details .you have to go through very tedious process of calling home or where you’re mobile are left and get that details etc. The proposed system project helps to simplify this problem. One has to send an SMS to his/her own mobile with the contact name and automatically the contact will be returned to the same number.

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Content Based Image Retrieval (CBIR) is a significant and increasingly popular approach that helps in the retrieval of image data from a huge collection. Image representation based on certain features helps in retrieval process. Three important visual features of an image include Color, Texture and Shape. We propose an efficient image retrieval technique which uses dynamic dominant color, texture and shape features of an image. We will encrypt content data (Color, Texture and Shape) in the hash algorithm is secure enough for critical purposes whether it is MD5 or SHA-1.This hashing algorithm used for only encryption this content cannot be decrypted. That is the image content data cannot be leaked or hacked. In this project of ours we aim to create an application that is helpful the police department to identify criminals and store and retrieve their criminal record data conveniently. This is called Content Based Image Retrieval (CBIR). Image retrieval with multiple features also known as Query by Image Content (QBIC) and the visual information is the application of computer vision to the image retrieval problem, that is, the problem of searching for digital images in large databases. "Image retrieval" means that the search will analyze the actual contents of the image. The term content in this context might refer colors, shapes, textures, or any other information that can be derived from the image itself. Without the ability to examine image content, searches must rely on metadata such as captions or keywords. Such metadata must be generated by a human and stored alongside each image in the database. Problems with traditional methods of image indexing have led to the rise of interest in techniques for retrieving images on the basis of automatically-derived features such as color, texture and shape – a technology now generally referred to as Content-Based Image Retrieval (CBIR). However, the technology still lacks maturity, and is not yet being used on a significant scale. In the absence of hard evidence on the effectiveness of CBIR techniques in practice, opinion is still sharply divided about their usefulness in handling real-life queries in large and diverse image collections.

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Fire safety and terrorism are the major issues in our society. Rescue Robot is a robot/machine made for rescue operations in fire disaster, terror attacks such as bomb plant diffusing, etc. situations. The robot is fully fire proof hence can go directly inside fire zone and extinguish fire more effectively than other tools available now. The robot is equipped with tools such as a robotic arm, fire extinguisher, camera, etc. Human operator controls the robot with a GUI application and performs desired rescue operations also robot can be made automatic to perform specific tasks.

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Cloud computing offers a brand new approach of service provision by re-arranging numerous resources over the web. The most major and widespread cloud service is information storage. So as to maintain the privacy of information holders, information square measure usually hold on cloud in associated degree encrypted kind. However, encrypted information introduces provocation for cloud information duplication that becomes crucial for large information storage and process in cloud. Ancient replicating schemes cannot work on encrypted information[1].They cannot exile support in- formation access management and abrogation. That is why, not of them may be without delay deployed in follow. During this paper, we gravitate to put forward a theme to deduplicate encrypted information hold on in cloud supported freehold challenge and proxy re-encryption[6]. It integrates cloud information deduplication with access management. We tend to valuate its performance based on in depth analysis and pc simulations. The results show the superior potency and effectiveness of the theme for potential sensible readying, particularly for large information deduplication in cloud storage[2].

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During Performing PPAP for new part development we came across a problem of burr formation which was going to impact on rejection and failure in the development. So in this article we have given how to overcome this problem by atomization by installing deburring machine instead of manual deburring. The burr formation is one of the most common and undesirable phenomenon occurring in machining operations, which reduces assembly and machined part quality. To remove the burrs, a costly and non-value-added process known as deburring is required for post-processing and edge finishing. A basic overview of burr formation and removal is presented in this paper. Due to vast applications of Mild Steel in many industrial sectors, such as automotive and aerospace industries, this paper describes the most highly used deburring edge finishing on machined parts. The main advantages, disadvantages, limitations, part quality and precision of these operations are presented. This can be beneficial for an adequate selection of deburring methods, cost reduction and production rate improvement.

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The aim of this paper is to help the deaf and dumb people. It is very compact setup that can be easily set up on the gloves. It is light weight as well so it won’t be a problem for the differently able to keep on wearing it all through the day. It basically aims on converting the sign language into text as well as audio output. Along with this there is provision to check the health of the person which includes heartbeat, body temperature and sweat secretion. Besides this global positioning system is included to track the person which works for 24 hours a day. In case of emergency the person can send a message to the registered guardian. All these features will help differently able to get along with the normal people easily and grow equally. It is also economical and hence a large group of people can take advantage of this.

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Rubber is one of the materials which can be used dueto its conforming properties according to the requirements. But, major problem arising with rubber parts is that it is very difficult to form or manufacture rubber parts with accurate dimensional properties. Molding is the most common manufacturing process used for working with rubber. Compression molding is a well-known technique to develop the required product from rubber. It is a closed molding process with high pressure application. In this method, two or more matched metal moulds are used to fabricate product. Design of these moulds is largely depend upon the controlling parameters of compression molding method which are applied pressure, temperatures developed and molding time. This design, manufacturing and analysis of the mould can be done with the help of modeling and simulation software.

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Foundry work is the process of making a metal casting of an object by pouring molten metal into a mould. The mould is made using a pattern of the article required. In some cases, the mould contains a core that determines the dimensions of any internal cavities. Foundry industry deals with hazardous operations which are resulted as high risk area for past 10 decades. Identifying the risk and controlling the risk within the standards in Occupational health and safety aspect is more difficult in foundry. The purpose of this project is to describe the steps involved and the method of identifying and controlling various health and safety Risks, defining a method to priorities the identified risk and identify the significant ones, related to manufacture and supply of castings and related support activities. We also explain the work under Casting taking as base which has been a large manufacturing method for very long time, hence the foundry industry have a long tradition of how they are working. Many foundries have grown independently and developed their own characteristics. The aim of this thesis is also to evaluate the possibilities of building a specific simulation model which corresponds with the production flow of one foundry, while being generic enough to be able to adapt to other foundries. Possible benefits of production flow simulation in the foundry industry will also be investigated. The conclusions drawn from this study is that there are benefits to gain for the foundry industry from simulation modeling.

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Waste management is one of the primary problems that any country faces. The main issue in the waste management is that the garbage bin gets overflowed before the beginning of the next cleaning process. Overflowed garbage bins are creating bad smell and making an unhygienic environment. And due to this situation number of diseases are taking lives of people because of bacteria and viruses which are spreading rapidly. For better health and environment surrounding should be clean and healthy. To overcome these problems efficient garbage collection systems are getting developed. Some designs where useful and some of designs where not beneficial at all. The main cause of the work is to develop a clean city a smart garbage managing system. The system proposes alert system for emptying the dustbin by sending a message to the municipal web server based on garbage level. Whole system is based on IoT. The system uses ultrasonic sensor, infrared sensor, air quality sensor, NodeMCU, GPS, GIS, LED, and servo motor. Also, system uses blynk framework. This system will allow the authorized people to manage cleaning of dustbin through IoT.

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In todays life supermarkets shopping are increasing rapidly as the technology and generations in people life. Generally in supermarket bazar people will purchase what they need and put those product into trolley. After shopping they wait in the billing section. Where it takes more time to billing for each individual customer and some people will get frustrated and go without purchasing. To avoid this time consuming we proposed an RFID based Technology. So the RFID Reader which reads the tag information when the product put into trolley. Then this information sends to the server which sends information to main billing section and to customer mobile which calculates the product total amount to both customer and to billing section and also display the product information in a tablet phone which will be attached to the trolley. This trolley application is based on trolley product information calculating and scanning information of the products which will be in trolley.

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Images captured via camera in the bad weather conditions like hazy or foggy ones would result in degradation of images. This is mainly due to the scattering of atmospheric light. This could lead to the deterioration of the image due to the scattering of atmospheric particles and due to the presence of haze. In this paper, a comparison between two algorithms is made, one is a fast algorithm for single image dehazing is proposed using the homomorphic filtering and the other is a single image dehazing using the linear transformation. In these both techniques, firstly, to accurately measure the atmospheric light an additional channel method is proposed based on quad-tree sub-division. After finding the atmospheric light portion in the input image filtering is being applied. For both the techniques, filtering is being applied, in which homomorphic filter is used in one and in the other minimum filtering is being used and then gaussian blurring. At last the haze-free image is obtained as the result of atmospheric scattering model. Number of both subjective and objective evaluations are being done with the aid of experiments which shows that this algorithm can clearly and naturally recover the image, with at most clarity at the edges where there is sudden changes in the depth of field. Here the algorithmic time complexity is the linear function of the image size. This has advantages in the running time my maintaining balance between the running time and processing.

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This paper introduces another way to deal with Economic Load Dispatch (ELD) is the way toward distributing the required load between the accessible age units to such an extent that the expense of activity is limited. The ELD issue is detailed as a nonlinear constrained improvement issue with both uniformity and disparity constraints. The double target Combined Economic Emission Dispatch (CEED) issue is thinking about the natural effects that collected from emanation of vaporous poisons of fossil-fuelled power plants. In this paper, an execution of Flower Pollination Algorithm (FPA) to take care of ELD and CEED issues in power systems is talked about. Results gotten by the proposed FPA are contrasted and other improvement algorithms for different power systems. The outcomes presented in this paper demonstrate that the proposed FPA outlives different procedures notwithstanding for extensive scale power system considering valve point impact as far as complete expense and computational time.

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A rough energy balance of the available energy in the combustion of fuel in a motor car engine shows that one third is converted into shaft work, one third is lost at radiator and one third is wasted as heat at the exhaust system, even for relatively small car engine. Heat energy can be utilized from the exhaust gas this heat energy is enough to power an adsorption air conditioning system to produce the air conditioning effect. It is a well-known fact that a large amount of heat energy associated with the exhaust gases from an engine is wasted. Heat energy can be utilized from the exhaust gas this heat energy is enough to power an adsorption air conditioning system to produce the air conditioning effect.

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As of late there may be radical advancement within the internet world. Sensitive knowledge will also be shared by way of net nevertheless this information sharing is vulnerable to targeted assaults. Cryptography used to be conversant in care for this dilemma. Cryptography is workmanship for carrying out safety by encoding the undeniable on the spot message to figure content material. Substitution and transposition are methods for encoding. On the point when Caesar figure substitution and Rail fence transposition techniques are utilized completely, figure content got is anything but problematic to separate. This discussion will introduce a viewpoint on the combination of methods substitution and transposition. Joining Caesar determine with Rail fence procedure can take out their foremost shortcoming and produce a figure message that is problematic to split.

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In this paper we are analysing the different android applications for tourism. As it is not possible for the tourist to always prefer the guide book, guide or any location. To provide facilities to the users for the purpose of tourism different kind of application has been made. By having the study of different tourism apps it is easy to get idea of developing a better application. On the basis of this study we will make an android app which will include all those functionalities which are helpful for the tourists.

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Nowadays, we mostly hear the word new Technology. This word advancing the old technologies along with some extra features. This growing towards new discoveries and inventions in the field of science and technology but unfortunately, there are very fewer innovations for physically challenged people. Who face difficulties in communicating with normal people. As Disable people use sign language as their Prime medium for communication. Mostly, sign languages are not understood by the common people. Research says that many studies have been done to eliminate such kind of communication barrier. And so, many research works have been proposed to remove this communication gap between normal people and physically impaired people. So, In this Paper, we are introducing one idea which will remove the complexity in earlier proposed methods such as, Microcontrollers, Aurdino, flex sensor based hand gloves. We are advancing this process in our study by using a Kinect sensor. Kinect is a motion sensing input devices produced by Microsoft. Many applications out of which motion sensing and 3-D image processing is the main requirement for our work to detect the signs, gestures, and movements of hands or bodies. Our work starts from capturing an image of the body to convert into the skeletal image and from image processing to feature extraction of the detected image hence getting an output along with voice. The experimental results of our Presented algorithm are also very good with an accuracy of 90%.

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Increased demands of restaurants, customer needs more attention for food delivery providing much options with ease of ordering and delivery in need of hours. Technology interface has become mandatory to improve the quality of service and business in this industry. As Sweegy, Zomato, Foodpanda are limited with only restaurants and cafe where we can place orders. All the time it is not affordable for people to order the food from the restaurants, so there is need of an application which will provide the facility of home –made food and mess too. So from this application, we are filling the gap of availability of mess and chef which is not in other food delivery apps. Highlighting feature of our application is chef-at-home and other feature is searching using GPS technology. This app will deal with the real time data as data of food posted on each day will be invalid after one day. Various messes can register through this app and can start their own business. The App will also provide the facility of booking the caterers for various events.

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The opinion mining models are applied to extract customer interest on the products. The product recommendation applications are built to analyze the product reviews submitted by the customers. Product reviews are valuable for upcoming buyers in helping them make decisions. To this end, different opinion mining techniques are applied judging a review sentence’s orientation is one of their key challenges. The deep learning has emerged as an effective means for solving sentiment classification problems. A neural network intrinsically learns a useful representation automatically without human efforts. The success of deep learning highly relies on the availability of large-scale training data. The deep learning framework is constructed for product review sentiment classification which employs prevalently available ratings as weak supervision signals. The framework consists of two steps: learning a high level representation captures the general sentiment distribution of sentences through rating information and adding a classification layer on top of the embedding layer and use labeled sentences for supervised fine-tuning. Two kinds of low level network structure are explored for modeling review sentences, namely, convolution feature extractors and long short-term memory. The recommendation process increases the accuracy level with minimum computational overhead.

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Requirements and constraints in a Joint Venture situation bring complications in project management. Requirements are broadened and varied when the client is a large organization such as a public client or a corporate client. However, in construction project constraints, limit the achievement of high performance. The goal of this paper is to identify the constraints in construction project working environment and apply the theory of constraints (TOC), which provide guidance for taking decisions where constraints exit. With the aim of achieving high performance it is necessary to better understand the constraints of the project. In current scenario, client requirements are discussed well but constraints are not much understood yet. Here we have categorised constraints into five viz: 1) Economical 2) Legal 3) Environmental 4) Technical 5) Social Here we suggest that, for achieving high level performance in a project, we suggest to develop awareness in managing and controlling the working environment of the construction project in the context of constraints.

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Blockchain is a localized linked data structure that is characterized by its inherent resistance to data variation , but it is deficient in search queries primarily due to its inferior data formatting. Divided database is also a decentralized data structure which features quick query processing and well-designed data formatting but Permit from data actuality. Associated agri-food supply chains are one of the most capable aggressive tools in todays globalizing business economy. For agricultural products, favorable supply chain development projects reduce not only the process price but also the corporate obstacle that divided personal links in traditional divided into channels. They grant participants to accomplish higher levels of service and to apprehend substantial additional value thereby serving as leverage points for economic increases. Growing environmental, social and ethical concerns and increased alertness of the effects of the agrifood area have led to increased stress by all involved agrifood supply chain. The framework goals towards the development of the agrifood supply chain design, planning and process through the fulfill of appropriate agrifood supply chain management and logistics principles. More particularly, focus is put on the minimization of the environmental stress and the maximization of supply chain sustainability of the agrifood supply chain.

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Android Application Development for Parking System is an Android App which will be helpful for vehicle owners to park their vehicles. In the current system, activities are performed by Admin at the Server side and Mobile app at the client side or by the user. The system provides secure parking with the help of registration and login for the system through Android App and with the RFID Tag or RFID Card. It also provides the parking view for users on Mobile App through which user can register a particular parking slot which is available. Once the registration is done, the user can use its RFID Tag/Card at various parking places due to its unique identification where the system is available. This system reduces the traffic congestion at parking places through Slot Allocation Method.

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The use of natural resources in our day today life is increasing which leads to shortage of these resources in the upcoming generation, mainly in transportation we are wasting a lot of crude oils and other resources which leads to global earthling. The name maglev is derived from magnetic levitation. Magnetic levitation is a highly advanced technology. It has various uses. The common point in all applications is the lack of contact and thus no wear and friction. This increases efficiency, reduces maintenance costs, and increases the useful life of the system. The magnetic levitation technology can be used as an efficient technology in the various industries. There are already many countries that are attracted to maglev systems. Many systems have been proposed in different parts of the worlds. This paper tries to study the most important uses of magnetic levitation technology. The results clearly reflect that the maglev can be conveniently considered as a solution for the future engineering needs of the world. So in this paper we are discussing about magnetic levitation and the uses in transportation.

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Outlier Mining is an essential job of discovering the data records that have a special performance comparing with other records in remaining dataset. Outliers do not follow with other data objects in the dataset. There are many practical approaches to detect outliers in numerical data. Most of the earliest work on outlier detection was performed by the statistics community on numeric data. But for categorical dataset there are limited approaches by using Memory efficient Incremental Local Outlier (MiLOF) detection algorithm and ROAD (Ranking-based Outlier Analysis and Detection algorithm).

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Red mud is an industrial waste material generated during production of alumina from bauxite by Bayer process. These industrial wastes hold some heavy aim of the paper is to investigate the possibility off partially replacing Portland cement in concrete by Red mud and evaluating its compressive and splitting tensile strength. In this test we are going to find out the values of compressive strength and flexural strength. When there is a replacement of cement with Red mud which varies from 0% to 25% with the increment of 5% respectively for M35 grade of concrete. The optimum gained after 7 and 28 days curing periods gives good compressive and flexural strength with the replacement of Red mud.

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