In Cloud Computing environment, when clients or providers want to authenticate themselves to the cloud, they face some problems like the security level of their credential information to be stolen or by illegal using of their decrypted messages by attackers during the communication process. The service providers and clients delegate a third party to monitor and enforce the data center in the infrastructure level of cloud. However, the third party might not be a trusted enough for one of them or for both, so they need to manage their data by them selves. In this paper, I will go over one technique for each issue to solve the privacy problem. Web Service Security model for encrypted and decrypted messages, and Private Virtual Infrastructure model for monitoring the data over cloud.

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— The need for security has been increasing day by day. Various algorithms for encryption and decryption have been proposed, but all are having some problem with them. So our objective is to propose high effective AES core hardware architecture for implementing a module to encrypt/decrypt the data that apply to FPGA platforms effectively in the terms of speed, scale size and power consumption. Recently, much research has been conducted for security of data transactions on embedded platforms. In this we describe a 32-bit architecture developed for Rijndael algorithm to accelerate execution on 32-bits platforms with reduced memory. A very low-cost implementation of around 700 occupied Slices is obtained under 347.515 MHz frequency. Verilog implementation of the proposal of the AES optimized algorithm is presented. A simulation campaign has been carried out, in order to evaluate time performances. We report the results of the AES optimized algorithm only in the case of a key size of 128 bits.

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Speech being a unique characteristic of an individual is widely used in speaker verification and speaker identification tasks in applications such as authentication and surveillance respectively. The proposal presents framework for privacy- preserving speaker verification and speaker identification systems, where the system is able to perform the necessary operations without being able to observe the speech input provided by the user. In a speech-based authentication setting, this privacy constraint protect against an adversary who can break into the system and use the speech models to impersonate legitimate users. In surveillance applications, we require the system to first identify if the speech recording belongs to a suspect while preserving the privacy constraints. This prevents the system from listening in on conversations of innocent individuals. In this project the privacy criteria for the speaker verification and speaker identification problems is formalized and Gaussian mixture model-based protocols is constructed.

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The paper describes the performance and functional characteristics of PIC18LF4620 based wireless sensor node in monitoring the parameters such as CO2, Oxygen, temperature, humidity and light around the pipeline structure. The system is deployed to monitor any deviations in these parameters with the standard atmospheric values eventually alert the user even to a remote location. The proposed system is a battery operated wireless sensor node which is interfaced with the external sensors to measure the parameters listed above. The distance range between sensor node and coordinator node is also tested. The signal conditioning module associated with detailed calibration procedure for the individual sensor is also described. Zigbee protocol stack is implemented to enable wireless transmission and performance of the same is evaluated.

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nowhere is this truer than on the battle field, where the ability to communicate clearly and rapidly pass on information gives the difference between survival and death? 4G is the technology that is going to drive a soldier in the field in upcoming. The key to power the military with tactical broad band voice, video and data in 4G communications technology. This technology accept Wireless technology on the platform of fixed networks, advanced antennae technologies is used and More advanced wireless security technologies is used. Next thing is about the gear for the upcoming warrior. Our device provides antennae power of vision, which provides Ground Guidance, Unit Detection, Soldier Status, Target Hand-Off and provides the Soldier Rescue during the battle. The uniform along with the protective covering, onboard computer will monitor warriors' overall physiological and psychological picture like how they are performing in the battle field and enhanced human performance which weighs only 50 pounds from head to toe but now 120 pounds of the system is present.

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Recurrent itemsets mining is an important concept in the mining of different hidden patterns and is in demand in many real-life applications. There are many methods to find recurrent itemset based on breath first search (for ex-Apriori) and depth first search (for ex-FP-Tree). Both these have their own disadvantage and advantage. The BFS gave better result in terms of efficiency. The DFS algorithm is good in terms of time taken to generate recurrent itemset. Most of previous and current works on mining recurrent itemsets can only capture the static itemsets they do not take care of the recurrent itemsets that often change.so this limitation motivate to work in this area.In the proposed work, using the concept of pheromones Strategy of Ants, we described and proposed a new method for dynamic recurrent itemsets mining.

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The development of cloud computing services is speeding up the rate in which the organizations outsource theircomputational services or sell their idle computational resources. Even though migrating to the cloud remains a tempting trend from a financial perspective, there are several other aspects that must be taken into account by companies before they decide to do so. One of the most important aspect refers to security: while some cloud computing security issues are inherited from the solutions adopted to create such services, many new security questions that are particular to these solutions also arise, including those related to how the services are organized and which kind of service/data can be placed in the cloud. Aiming to give a better understanding of this complex scenario, in this article we identify and classify the main security concerns and solutions in cloud computing, and propose a taxonomy of security in cloud computing, giving an overview of the current status of security in this emerging technology.

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The below suggested method gives a technique to transit and stream a video . It is comprised of six stages:[1] Segmenting entire video into frames.[2] Each frame is applied a grid so that frames are further segmented into cells .[3]Each cell is analyzed and based on the analysis of information in each cell it is decided whether further gridding is needed or not. [4]The information is evenly and equally packed. [5]Each packet is given an uniform identification number and transmitted. [6]The transmitted packets are sorted and integrated at receivers end based on unique identity given to it. Basis of analysis is pixel ratio, information size and color differences. This technique provides the uniformity among the segments of video.

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The last decade has witnessed a growing demand for wireless radio spectrum due to the rapid deployment of new wireless devices and applications. Spectrum is a precious resource and thus underutilization of a large part of allocated spectrum is not acceptable. Cognitive Radio(CR) is proposed as a promising solution for increasing spectrum utilization. We conduct simulations to validate and evaluate our proposed scheme.

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Mesh topology involves the scheme of routes. Memos dispatched on mesh web can seize each of countless probable trails from basis to destination. A web in that every single mechanism links to every single supplementary is shouted maximum mesh. Heterogeneous wireless mesh web will be dominant in the subsequent creation wireless networks. Handover association and trail restoration are one of the mobility association constituent’s manipulation the change of the mobile terminals across alert communication. A fast simulation method established on sampling is industrialized for the scrutiny of trail ability potential in mesh webs alongside the aid of Vibrant trail restoration. This scheme provides the vibrant trail wreck significance sampling (DPFS) to guesstimate the trail availabilities efficiently. In DPFS, the wreck rates of web agents are biased at increased rates till trail wrecks are noted below rerouting. This simulated ideal uses "failure equivalence group"(FEG) to enable the modeling of bidirectional link wrecks, optical amplifier wrecks alongside links, node failures. The main concept utilized for this setback is polling of the continuing paths from basis to destination and coordinate them established on manipulation defeat and bandwidth availability. After the obligation is discovered whichever by node wreck or link wreck the arrangement switches to the subsequent obtainable path. If there is no potential of such trails, a rerouting is initiated.

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Cloud computing has changed the computation from centralized to virtual centralized. It is one of the fastest growing component of the IT industry. It is a means of increasing the capacity and capabilities of Information Technology without investing in infrastructure and manpower. It encircles Grid Computing, Utility Computing, Distributed Computing and Autonomic Computing. It provides three main service models to the users as Software as a Service (SaaS), Platform as a Service (PaaS) and Infrastructure as a Service (IaaS). Each of the services has it’s own security issues. This paper briefly describes the main security issues of a SaaS service model.

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The closed loop Pulsating Heat Pipes (CLPHPs) are emerging new technology for electronics cooling equipments.It simply two-phase passive heat transfer devices that enhances large amount of heat.It transport heat from evaporator to condenser by the principle of evaporation and condensation of a working fluid with minimum drop of temperature.The present work represents transient state experiment conducted on multiturn closed loop PHP. The Evaporator and condenser wall temperatures are measured with the help of thermocouples.Use the capillary tube in the evaporator and condenser sections with inner diameter of 3 mm and outer diameter of 4 mm. The total length of the closed loop pulsating heat pipe is 6M.The evaporator and condenser sections are 150mm and 150 mm respectively. The experiments are conducted in three mode of condition i.e vertical ,inclined and horizontal.The PHP is tested with working fluid R134a for different fill ratios from 50% to 83%.The performance parameters like temperature difference between evaporator and condenser and thermal resistance.The experimental results shows that 50% filling ratio within the tube shows better heat transfer characteristics among 83% FR and 70% FR. The 50% filling ratio in horizontal mode of operation shows lowest thermal resistance and higher heat transfer coefficient.

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Now a days the storage of any data has become an important issue. High defenitions not only consumes space but also a lot if money. when we talk about high data storage ,it is essential to specify the video data as it obviously occupy more storage than any other data.for example a text document When working with video from a video camera, the process is similar to a photography workflow. You can choose to work with cameras that store their video data in a raw format.

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This undertaking, present a new scene text detection algorithm established on two machine discovering classifiers: one permits us to produce candidate word spans and the other filters out non text ones. To be precise, they remove related constituents (CCs) in images by employing the maximally stable external span algorithm. These extracted CCs are partitioned into clusters so that they can produce candidate regions. Train an AdaBoost classifier that determines the adjacency connection and cluster CCs by using their pair wise relations. Then normalize candidate word spans and determine whether every single span encompasses text or not. As the scale, skew, and color of each candidate can be approximated from CCs, develop a text or non text classifier for normalized images. This classifier is based on multilayer perceptions and we can control recall and precision rates alongside a single free parameter.

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The project work exclusively focuses on improving the material handling activities for the continuous conveyor mixed model assembly line (MMAL).The material handling includes activities ranging from issuing of purchase orders to issue of material at point of use. The forklift movement which is a parameter of high priority is taken into consideration with respect to the mixed model assembly line. The main objective is to reduce the forklift movement and also the transit delay that occurs between point of storage to point of use. The zig zag movement of fork lift within warehouse is a major cause for delay in feeding the items to MMAL. Some purchasing policies with respect to bottleneck items are taken into consideration in order to improve their movement. The usage pattern of materials is not taken into consideration in present storage layout, which results in shifting the items from large distances. The warehouse is used not only for storing items for MMAL but also for storing items needed for individual assembly lines. This occupies more space in the warehouse. Many of the items which are non-moving, not at all moving (due to change of design) are also stored in warehouse. The methodology implemented to reduce the fork lift movement is done by replacing the fork lifts by tow-trucks. The Kraljic purchasing portfolio model and also the Porters Five forces model have enabled to reduce the risk of delays associated with bottleneck items(high supplier's risk, low profit impact). So for the firm, one of the goals ie, converting the bottleneck items into leverage items is slowly progressing. The imports storage area which is near to individual assembly line but away from MMAL is redesigned(using Solidworks) for storage of items which exclusively focuses on individual assembly lines and not on MMAL. After the implementation of proposals the fork lift movement is likely to be reduced and results in savings of distances travelled from 14764 m to 7639 m, and diesel consumption by 49%. Also the working hours of forklift operators in second shift is avoided. The main warehouse is redesigned to focus only for MMAL so that the problem of shortage of items in kits is eliminated. This approach has removed many non-moving items from warehouse and made the kit making process easier by saving time. The Kraljic model has classified the items in four different categories, so that the bottleneck items are highly prioritized and their risk of non-availability in assembly line reduces. The conversion of open area (imports) to mini warehouse has improved the utilization of huge storage area to hundred percent. The surrounding areas around MMAL are fully utilized to 100% which was 55% earlier. So that the items are stored properly and fed on time according to their usage.

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Green computing or green IT , refers to Environmental sustainable computing or IT. The study and practice of designing , manufacturing disposable computers, servers and associated sub - systems such as monitor,printers, storage devices and networking and communication systems efficiently and effectively with minimal or no impact on the environment.Such practices include implementation of energy- efficient central processing unit, servers, peripherals as well as reduced resource consumption and proper disposal of electronic waste. One of the earliest initiatives towards green computing in the United States was the voluntary labeling program known as Energy Star. It is conceived by theEnvironmental Protection Agency (EPA) in 1992 topromote energy efficiency in hardware of all kinds. The Energy Star label became a common sight especially in laptops and displays. Today’s PCs are so powerful that the vast majority of applications only use a small fraction of the computer’s capacity, it can be simultaneously shared by multiple users. Consumers 90% less energy per user PCs typically consume between 110 to 200 watt light bulb. A class room, computer lab,office with PC’s warms up very quickly.PC-filled work areas always have to be air conditioned. Air conditioners raise electricity cost & require large capital expenditures to buy, install and maintain them. Electronic waste is a large & growing problem throughout the world. On a broader scale, the Kyoto Protocol and The ClimateSavers Computing Initiative (CSCI)-Global efforts to save the environment which require Active participation of governments, organizers and manufactures. The computers and peripherals draw significant amount of energy in sleep and stand by modes. They contribute to harmful CO2 emissions. These days everyone seems to talk about global warming and ways to protect the environment.Unconsciously, all of us are contributing to unwanted CO2 emissions from house through careless use of our electrical devices. According to reports from the German Federal Environment Office, devices consume around 17 billion kilowatts hour (kWh) in a year when They are in stand by mode. DVD players, DVD Recorders or even multifunctional printers continue to draw electricity because of the absence remote of an ‘OFF’ button. If you press the ‘Power Off’ on the remote, these devices go into stand by mode. Windows Vista never shuts down or powers off the PC completely. The default shutdown mode is a deep sleep mode that requires power. Its only when you switch off the main switch at the back of the computer that power supply unit stops drawing power.

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In multi-hop wireless networks (MWNs), the mobile nodes usually act as router store lay other nodes ‘packets to enable new applications and enhance network performance and deployment. However, selfish nodes may not cooperate and make use of the cooperative nodes to relay their packets, which has a negative effect on network fairness, security, and performance. Incentive systems implement micropayment in the network to stimulate the selfish nodes to cooperate. However, micropayment schemes have originally been proposed for Web-based applications; therefore, a practical incentive system should consider the differences between Web-based applications and cooperation stimulation. In this pa- per, first, these differences are investigated, and a payment model is developed for the efficient implementation of micropayment in MWNs. Second, based on the developed payment model, an incentive system is proposed to stimulate the nodes’ cooperation in MWNs.

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The study of data mining has focused primarily on the mining algorithms and their applications, while relies its foundations on established fields, such as logic statistical analysis, machine learning, database. Motivated by the practical needs of specific types of real world data analysis problems, many mining algorithms are designed and studied. They include association rule mining, classification rule mining, exception and peculiarity rule mining, sequence mining, stream mining, text mining, web mining, and others. A review of data mining literature suggests that there does not exist a well-accepted and non-controversial conceptual framework. A lack of conceptual modelling may jeopardize further development of data mining. Our discussions are unique and differ from existing studies in several perspectives. First, we treat data mining as a field of study and emphasize the study of the nature, the scope, and philosophical foundations of data mining. We stress on the understanding of data mining as a scientific inquiry, in addition to simply empirical investigations. We pay more attention to the effectiveness of data mining methods, rather than only to the efficiency. Second, we view data mining in a wide context of scientific research, in terms of their goals, processes and methods. Third, we search for a unified and general framework, or at least general principles and guidelines, rather than a family of isolated algorithms. The framework aims at finding answers to what and why questions, as well as how questions. Forth, with the help of conceptual modelling, we attempt to move beyond trial and error, or ad hoc, applications of data mining algorithms, which dominate most current applied studies of data mining.

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The classification of cancerous tissues are crucial in the case of cancer diagnosis. This project describes the detection and classification of cancerous tissues based on structural and statistical pattern recognition and neural networks. Image classification using neural networks is done by texture feature extraction and then applying the back propagation algorithm. The feed forward neural network is trained using back propagation algorithm which is being employed to classify the cancerous tissues based on its features. Thus our experiment demonstrates that the proposed model leads to higher accuracies and also provides quick results, compared against the pattern recognition technique that uses SVM classifier for quantification.

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This document gives the information about the grain cleaning machine which use the electrical energy instead of the use of the petrol or diesel. The overall cost of the making of this type of the grain cleaning machine is very low compared to the conventional machine and very easy to construct.

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In this research, data mining techniques will helpful to handle the predictive model. Research will show the most effective parameter of the heart disease prediction which gets the scenario for least predictive value and most predictive value from the dataset. Initially need to identify the exact state of the user entering parameter which can be frequent item although random value of dataset in data modeling. Results show that unique strength which identifies the objectives of the defined mining goal and expert system. Some medical exponent attributes such as age, sex, blood pressure and blood sugar, glucose and some related factors can predict the likelihood of patients getting a heart disease with its exact probability. Basically this technique is expended on the defected and non-defected parameter which works as result class. The System can discover and extract hidden knowledge associated with diseases (heart attack) from a historical heart disease database.

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This paper proposes a methodology for calculating the energy consumed by a Wireless Sensor Network as well as its throughput under the effect of a jamming node modelling interference to account for collisions and retransmissions. Accordingly, the proposed methodology takes into consideration retransmissions and data dropped due to interference and collisions simulta-neously. Simulations are conducted using OPNET to model various scenarios utilizing off-the-shelf wireless communication standards, namely ZigBee, Wi-Fi and Low Power Wi-Fi. A figure of merit is developed to offer more representative results for applications with different requirements. In achieving different requirements for a given application, there is a clear trade-off between energy consumption and throughput.

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As smartphone advance in practicality and capability, they're more and more getting used as instruments for private observance. Applications area unit being developed that make the most of the sensing capabilities of mobile phones - several have accelerometers, location capabilities, imagers, and microphones - to infer contextual info. My plan is to form Associate in nursing mobile application to observe the transport mode of the vehicle and it's principally employed in the serious vehicles to observe the movement of the vehicle to forestall from accident. To execute this application we'd like a measuring instrument device and GPS device however the most advantage of this idea is, simply a smartphone is enough for this application wherever the each measuring instrument and GPS is on the market on that. The target application for this transportation mode abstract thought involves assessing the hazard exposure Associate in nursing environmental impact of an individual’s travel patterns. Our epitome system consisting of a call tree followed by a first-order Hidden mathematician Model achieves the appliance demand of getting accuracy level larger than ninetieth once testing with our dataset consisting of twenty hours of knowledge collected across six people.

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The transcoding refers to a two-step process in which the original data/file is decoded to an intermediate uncompressed format which is then encoded into the target format. Transcoding is the direct digital-to-digital data conversion of one encoding to another. This paper proposes a system of secure image transcoder which mainly focuses on multimedia applications such as web browsing through mobile phones, in order to improve their delivery to client devices with wide range of communication, storage and display capabilities. This system based on CKBA encryption ensures end to end security. The performance of the system has been evaluated for different images. It is verified that the proposed system is having less resource complexity with good performance.

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Research on snake-like robots expands the fields of application of robots.Based on control area network(CAN) bus technologies,we control the snake-like robots.They can use to search for survivals in shambles,of earthquake,fire.Its maximal distance of communication is 10 km,while calculating bit rates is up to 1 mbps.monitoring system which is connected to the control system through wireless communication.microcontrollers (MCU) are applied to our robort control system and snake-arm robot is a slender hyper-redudant manipulator.the high number of degrees of freedom allows the arm to “snake” along a path or around an obstacle. the master module consists of a 16-bit MCU,a wireless communication module and a sensor part.The snake robotics is used in various military uses,these are navigate very confined spaces used to search for people trapped in collapsed bulidings.

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