The users from the social networks like Facebook, Twitter etc. expecting that social networks can able to preserve their privacy. To address this, recently PRIGUARD framework introduced in which meta model and description logic used for describing the social network commitments and domain in order to specify the privacy needs of end users. This approach is able to detect the violations of privacy in both sound and complete. However the still there is scope of improvement in PRIGUARD method and limitations. One such limitation of PRIGUARD does not supporting the proactive violations of its commitments whenever it’s required to provide the context dependent privacy management. In this paper we are presenting the Automated PRIGUARD (APRIGUARD) which is based on existing PRIGUARD method. APRIGUARD method not only supports the functionality of existing PRIGUARD but also enabling the approach of proactively violates its commitments. This achieves more efficiency and security to end users privacy. The proposed approach will be used before taking a particular action for checking whether it will lead violation and hence it will results in its prevention before it happens. Conversely, it will be used to do sporadic checks on the system to see if any violations have occurred.

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Dutta and Choudhury [1] proved the following result: If (X, d) is a complete metric space and T : X→X a self-mapping satisfying the inequality Ψ(d(Tx, Ty))≤ ψ(d(x, y)−φ(d(x, y) where ψ, φ : [0,∞) →[0,∞) are both continuous and monotone non-decreasing functions with ψ(t)= φ(t) = 0 if and only if t = 0. Then T has a unique fixed point. In this paper, we have proved that if we do not assume the conditions of continuity on both ψ and φ, still the result is valid.

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In this work, the modeling and simulation of a distillation column has been done. The distillation column has been simulated by varying parameters such as the inlet feed composition, relative volatility of the feed and reflux ratio of the column to study the effects of these parameters on the product composition. This has been done using the MATLAB software. MATLAB is a high level language and can be used to model energy consumption and for developing control algorithms. Effects of various parameters with respect to the independent variable have been obtained. Graphs have been plotted to show the effects of each parameter, and how variation in them might affect product quality. Graphs have been analyzed and the results obtained have been interpreted. The distillate concentration obtained decreases as the feed condition increases from superheated vapour (q<0) to feed below bubble point (q>1). So, in order to achieve higher distillate concentrations the vapour fraction of the feed must be increased and liquid fraction must be decreased. This can be done by increasing the amount of preheat to the feed before it enters the distillation column. As the reflux ratio of the distillation column increases, the distillate concentration also increases. Thus, efficiency of separation of a distillation column can be increased if it is operated at higher reflux ratio. Moreover, as the relative volatility of the feed increases then the distillate concentration increases even at constant reflux ratio. Thus, in order to achieve higher separation efficiencies, efforts must be made to increase the relative volatility of the feed by adding entrainers (salt). Increasing the distillate concentration from a distillation column would ensure higher product purity and minimize the requirement of distillation trays. This would reduce the overall cost of the plant and increase the net revenue earned.

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The greatest advances in Silicon based electronic technology have dominated the computation world for the past decades. The captivating performance of Si devices lies in sustainable scaling down of the physical dimensions, by that increasing device density and improved performance. But, the fundamental limitations due to physical, technological, economical and manufacture features restrict further miniaturization of Si based devices. The pit falls are due to scaling down of the devices such as process variation, short channel effects, high leakage currents and reliability concerns. To fix the above-said problems, it is needed either to follow a new concept that will manage the current hitches or to support the available concept with different materials. The new concept is to design spintronics, quantum computation or two terminal molecular devices,. Otherwise, presently used well known three terminal devices can be modified with different materials that suits to address the scaling down difficulties. The first approach will occupy in the far future since it needs considerable effort; the second path is a bright light towards the travel. Modelling paves way to know not only the current-voltage characteristics but also the performance of new devices. So, it is desirable to model a new device of suitable gate control and project the its abilities towards capability of handling high current, high power, high frequency, short delay and high velocity with excellent electronic and optical properties. Carbon nanotube became a thriving material to replace silicon in nano devices. A well-planned optimized utilization of the carbon material leads to many more advantages. The unique nature of this organic material allows the recent developments in almost all fields of applications from an automobile industry to medical science, especially in electronics field-on which the automation industry depends. More research works were being done in this area. This paper reviews the carbon nanotube field effect transistor with various gate configurations, number of channel element, CNT wall configurations and different modelling techniques.

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Intensive vibration can be transmitted to the hands and arm of the operator from vibrating tools, vibratory machinery or vibrating workpieces. Such situation occurs, for example, when a person handles tools such as pneumatic, electric, hydraulic, percussive tools. Depending on the type and place of work, vibration can enter one arm only, or both simultaneously, and may be transmitted through the hand and arm to the shoulder. The vibration of body parts and the perceived vibration are frequently a source of discomfort and possibly reduce proficiency. Continued, habitual use of many vibrating power tools has been found to be connected with various patterns of disease affecting the blood vessels, nerves, bones, joints, muscles or connective tissues of the hand and forearm.

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this manuscript, the optimized wavelet filters for the speech signal compression used with the lossless Run-length encoding (RLE). The optimized wavelet filter coefficients are derived with different window techniques such as Kaiser and Blackman windows via simple linear optimization. When the developed wavelet filters are exploited for the speech compression, they gives better compression ratio and also yields good fidelity parameters as compared to other wavelet filters. A comparative study of performance of different existing wavelet filters and the proposed wavelet filters is made in terms of compression ratio (CR), signal-to-noise ratio (SNR) and Peak signal-to-noise ratio (PSNR) and Normalized root-mean square error (NRMSE) at different thresholding levels. The simulation result included in this paper shows the clearly increased efficacy and performance in the field of speech signal processing.

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Handle assessed subjectively in many garment industries. The subjective assessment could vary from person to person and has significant problems in fabric handle evaluation. In the last two decades, “Fabric Objective measurement” has been one of the most active areas in textile research. An objective evaluation is presented and analyzed for cotton, jeans and silk fabric. Many objective evaluation methods are also available for fabric handle measurement such as Kawabata evaluation system, Fabric Assurance by Simple Testing etc, but these equipments are costlier and difficult to operate. This proposed instrument, Fabrofeel is easy to operate, maintain and can be easily afforded by small scale textile industries. Solid modeling of the assembly of Fabrofeel has been carried out using Solidworks software. The load cell mounting bracket and the column has been subjected to stress analysis by applying a load of 2000N on the load cell mounting bracket. ANSYS is finite element software utilized to perform the stress analysis.

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Content Based Image Retrieval (CBIR) is an approach for retrieving similar images from an image database based on automatically-derived image features. The quality of a retrieval system depends on the features used to describe image content. Image retrieval in general and content based image retrieval in particular are well-known research fields in information management. An image contains several types of visual information which are difficult to extract and combine manually by humans. Feature extraction algorithms and similarity measures for image comparison are usually the basis of most CBIR systems. Search in image content uses the low–level image features such as color, texture and shape.

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Nowadays, quality evaluation of fruits is important and it plays vital role in the food and agricultural industry. The fruits in the market satisfy the consumer preferences. So, to maintain the quality, detection of a defect on fruits is necessary. Before few years this task completed by manually. But manual sorting shows inconsistency and inaccuracy in a result. This paper presents the three-dimensional color grading technique for sorting the fruits and detecting defects on it. This work having a novel defect detection of fruits based on color features with K-means clustering unsupervised algorithm. We used color images of fruits for defect detection. Defect detection in different stages. Initially, the feature extraction is performed, and then classifier is used to classify the fruits according to of their maturity level. In feature extraction, we exacted the color, edge, texture feature. Although the color is not commonly used for defect detection, it produces a high distinctions power for different regions of the image. Also, in these paper uses the automatic color grading system to determine the color quality by directly comparing fruit color against the predefined and set of reference color or by using a set of color separation parameter.

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For pavements to serve satisfactorily under the adverse conditions of increasing traffic, the paving engineers are required to design and construct the pavements with better strength and durability. The pavement contains different layers, each with their respective engineering properties. One of the important component is the filler, which are fine materials which fill up the pores of the pavement making it impervious and hence giving better strength. The filler and asphalt combine to form a mastic which acts to fill voids and also bind aggregates together to a dense mass. In this experiment five types of filler are used to check their effect on the pavement strength. It was found that rice husk ash and GGBS cannot be used as fillers for their properties do not bind with the other components. On the other hand, marble powder, micro silica and pond ash have shown considerable results. The pond ash has not only shown better strength than fly ash but is also more economical than flyash.

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User can remotely outsource their data to cloud storage and enjoy on-demand high quality applications and services of cloud. With cloud storage user does not carry burden of local data storage and its maintenance. But there exist a problem of data integrity if any failure or corruption of data occurred in cloud storage. In recent past years, the concept of regenerating code used to recover cloud data. Traditional methods of regenerating code data provides private auditing where the data owner always has to stay online to manage data auditing. In proposed system third party auditor i.e. TPA is used for continuous data auditing. To address the issues in regenerating code, proxy is introduced. It is special entity which regenerates an authenticator into existing public system model. Public key authenticator is introduced for verification of couple of keys generated during data encryption and decryption, it is known as KDC. Along with regenerating code data proposed system contributes multiuser data sharing aspects.

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The rapid exploration of various social media networks have changed the way how video contents are created, used, distributed and consumed in sharing portals. Nowadays, online videos can be accessed from beyond the internal mechanism of the video sharing portals, such as internal search and front page highlight. Nowadays marketing the you tube video at various networking sites are became a trend and it is very useful for increasing the popularity of video among viewers. In this paper, we implemented a cross-network collaborative application among you tube and twitter. By using common user of both sites we tried to advertise a video by optimal advertiser (celebrity with same domain of video) for the particular video which we get from the twitter. The person (followee) with maximum followers in the twitter is optimal followee for the video which having same domain as the person. For example; the person with sport background having maximum followers are suitable for sports videos.

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The main aim of the structural engineer is to design the structures for a safe, serviceable, durable and economical one, with the development of technology in the computing field, the structural engineer can dare to tackle much more large and complex structures subjected to various types of loading conditions. Earlier the loads acting on the structures are considered as static or pseudo static, but strictly speaking, with the exception of the self-weight (dead load) no structure load is static one. With the development of computing facility, the structural engineer attempted to consider the other loads which are varying with time called as dynamic loads. Now a day a large number of application software’s are available in the civil engineering field. All these software’s are developed as the basis of advanced finite element analysis which includes the effect of dynamic loads such as wind effect, earthquake effects etc, In the present work, an attempt has been made to study the efficiency of certain civil, engineering application software’s i.e STAAD PRO by comparing the result obtained by them with the manual calculation’s. For this purpose project has been selected. The name of project is “analysis and design of RC multi storey hospital building (g+2) & comparison analysis with staad pro.

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In this paper we have proposed a model to control the robot through human gestures using accelerometer, switches and flex sensor. The accelerometer and switches are mounted on the human hand to control the actions of arm and movements of the vehicle from one place to another respectively. ARDUINO UNO R3 accepts data from the accelerometer, flex sensor and switches and transmits them to the receiving unit through RF module. DC motors are used to move the arm and to drive the vehicle wheels. The main objective is to smoothly move and control the robot using gestures wirelessly over a range.

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In the domain of data mining, utility mining is the new development area. Due to anti-monotonicity property utility mining is the complicated with itemset share framework. There exist several techniques on mining utility with two phase candidate generation approach. However, such approach is inefficient as well as not scalable for huge dataset. In two phase candidate generation approach, scalability issue is detected in case of huge number of candidates. The proposed system is efficiently identifying high utility itemsets without candidate generation. Reverse enumeration tree is introduced to reduce search space by utility upper bound. d2 HUP enables to compute tight bound efficient pruning & directly discovers the HUI in scalable as well as efficient way. Along with the proposed work, system can also discover the top-k itemsets from extracted results. With the experimental results, we have to show that the time required for pattern enumeration is very less using d2HUP algorithm than the existing techniques of candidate set generation.

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This dissertation work proposes scheme Data security using patch based approach for Texture Synthesis. System uses the concept of patch which represents an image block of source texture and its size is user defined. A texture synthesis process resamples a smaller texture image, which synthesizes a new texture image with a similar appearance and arbitrary size. The texture synthesis process is weaved into steganography to hide secret messages. In contrast to using an existing cover image to hide messages, the algorithm hides the source texture image and embeds secret messages using the process of texture synthesis. This allows to extract the original secret messages and source texture from a stego synthetic texture. The approach offers some advantages. First, the scheme offers the embedding capacity that is proportional to the size of the stego texture image. Second, the reversible capability inherited from this scheme provides functionality, which allows recovery of the source texture.

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recent Years demand of IOV has increased. The Internet of Vehicles (IoV) is an inevitable convergence of the mobile Internet and the Internet of Things. It's comprised of all new and current vehicles, either fitted or integrated with two-way RF equipment. Although the IoV is an emerging concept, some nascent forms exist today. IoV technology refers to dynamic mobile communication systems that communicate between vehicles and public networks using V2V (vehicle-to-vehicle), V2R (vehicle-to-road), V2H (vehicle-to-human) and V2S (vehicle-to-sensor) interactions. In infrastructure based vehicles can communicate through RSU (road side unit) to predict the transmission signal strength and range of signal to perform communication in IOV is very challenging task because movement of vehicles can affect the strength of signal so it is difficult to manage movement of vehicles and predict the received signals strength. In this paper an attempt has been made to propose a methodology to improve receiving signal strength by the use of propagation models.

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This Project is developed for the users to rotate the back wheel of a bicycle using shaft. Usually in bicycle, chain and sprocket method is used to drive the back wheel. A shaft driven bicycle is a bicycle that uses a shaft drive instead of chain drive which contain two set of bevel gear at both ends to make a new kind of transmission system and transmit motion through 900 angle.

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Ergonomics plays a major role in dentistry. This is due to the type of work done by dentists and the duration of the work done. The dental practitioners are mostly affected by the musculoskeletal disorders (MSDs) after the particular time span. MSDs usually occur due to the repetitive nature of work. One of the MSD which is quite common is Carpal Tunnel Syndrome. The prevalence of Carpal Tunnel Syndrome is common among the workers who perform the job using their hands, wrists, fingers or upper extremity body parts. All over the world, studies have shown the increase in the occurrence of the Carpal Tunnel Syndrome in the dentists. This disorder has by and large affected most of the dental practitioners and their work leading to the decline in their efficiency of work and affecting their lives badly. Although there are several methods by adopting which we can reduce the prevalence of CTS in dentists but in this review we will focus on the Dental hand tool design which are being used by dentists such as manual scaling hand tools or scalars. Scaling tool has been chosen as the parameter because scaling is often the repetitive task and is usually performed by most of the dentists for longer durations. Several studies have been done on the parameters affecting the scaling tool handle design which can reduce the muscle forces exerted by the dentists. Grip of the tool is also the parameter which determines the load on the muscles of fingers, hands and wrists. Lesser loads on fingers and hands are often taken as the safe parameter for designing hand tools. The loads and forces on muscles have been evaluated by using Electromyography techniques in most of the studies.

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VANET (Vehicular Ad-hoc Network) is another innovation which has taken tremendous consideration in the current years. Because of Dynamic topology changing and visit separation makes it hard to design an effective routing for routing information among vehicles, called V2V communication and vehicle to street side framework V2I. The current routing protocols for VANET are not productive to meet each activity situations. Along these lines design of an effective routing convention has taken huge consideration. It is extremely important to recognize the focal points and inconveniences of routing protocols which can be utilized for further change or advancement of any new routing convention. This paper analyzed different existing routing protocols in VANET.

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Flexible pavement failure in black cotton soil or in waterlogged area is common problem in India. In previous paper, I explained about how pavement design should divide into three categories such as soil improvement, drainage solution and design with advance material. CBR test also conducted by using different stabilizers such as fly ash, quarry dust and cement and sand. The aim of this paper to know the practical validation of this studies.

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The development of an automatic telemedicine system for diabetic retinopathy depends on detection of red lesion in color images. This paper presents a new method for red lesion detection i.e. detection of microaneurysms and hemorrhages. Microaneurysms and hemorrhages occurs at the first stage of Diabetic Retinopathy. Lesions are hardly visible, proposed method improves the ability to distinguish between lesions and non-lesions.

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This contribution deals with the possibility of simulation of complex parts made from polymer-composites with CAD/CAM/CAE software. First part of contribution is aimed on describing the basis of fiber composites and its behaviour under load. Main reason of choosing carbon fiber as material for innovative parts depends on low density and high tensile strength. Thus carbon fiber composites are frequently used at automotive and sporting goods production, parts from these industries were selected. Second part will lead to different studies performed in Simulations and describes the stress and weight comparisons made from Steel, Carbon fiber, Glass Fiber composites. The optimization for weight and strength of the shaft based on Fiber orientations and different materials will be done.

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To match up the requirements of advanced infrastructure, better building materials and latest technologies are required. Due to increase in corrosion problem in RC structures the useful age of structure gets reduced. So to overcome this problem engineers all over the world are getting inclined towards fiber reinforced polymers (FRP) bars in place of steel bars. This paper presents the results of an analytical investigation done on the compressive behavior of concrete columns reinforced with steel, AFRP and CFRP bars. Nonlinear analysis of 9 column specimens is done using ANSYS software. The parameters investigated in this analysis includes reinforcement ratio, ultimate load bearing capacity and deformations. Also a comparative study is done amongst steel, AFRP and CFRP on the basis of these parameters.

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Data mining, the extraction of hidden forecasting statistics from large databases is a strong technology with great expectation used in various Enterprise applications including retail sales, e-commerce, remote sensing, bioinformatics, banking, business analytics, latest mobile applications, ERP, SAP etc. Staff Selection is an essential element for the progress of country. Mining in selection environment is called Selective Data Mining. Staff Selection data mining is concerned with developing new methods to discover knowledge from Staff database. In order to examine student swing & reaction towards education an attempt to study the present behavioral pattern of staff in a cross section is a must. This paper surveys an application of data mining in Staff Selection system and also present analysis using WEKA (Waikato Environment for Knowledge Analysis) tool. Weka is a collection of machine learning algorithms for data mining tasks. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes. As we know large amount of data is stored in database, so in order to retrieve required data and to find the secret relationship, different data mining techniques are developed and used worldwide. There are variety of different data mining task e.g. classification, clustering, outliers detection, association rule, prediction.

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