The My Sale app is an Android App . It can sync with a network server maintained by the User’s hold Company, or with a Virtual server on a hosting Service. The server is used to supervise and download report/information. This Server App is used to Create own company’s management hierarchy. This App is also used to Set Target and Track the Target Hierarchy and Online tracking of each salesman and remote stock allotment & management every day, weekly, monthly coverage , Salesman wise, Customer wise, Product wise. Send information to selected emails Web server access through Mobile/Tablets Customer Complaints & Helpdesk organization. The mySale is planned to work with a web server, although it can also be second-hand without one. All the features of the application run on the consumer side, and the member of staff serving at table is only used to supervise and download information.

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An energy audit is an inspection, survey and analysis of energy flows in building, processor system with the objective of understanding the energy dynamics of the system under study. Typically an energy audit is conducted to seek opportunities to reduce the amount of energy input into the system without negatively affecting the outputs when the object of study is an occupied building then reducing energy consumption while maintaining or improving human comfort, health and safety are of primary concern. This paper presents a physically based model and formulation for industrial load management. Lighting is an essential service in all the industries. The power consumption by the industrial lighting varies between 2 to 10% of the total power depending on the type of industry. Energy conservation and exploration of new energy avenues are the well accepted solution to fulfil the growing industrial demand in future. Implementation of energy audit can improve the plant efficiency and thereby reducing the energy and exploration of new energy avenues are the well accepted solution to fulfil the growing industrial demand in future. Implementation of energy audit can improve the plant efficiency and thereby reducing the energy wastages.

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— Image data compression is process to remove the redundant and irrelevant information from the image so that only essential information can be represented using less number of bits to reduce the storage size, transmission bandwidth and transmission time requirements. With Increase in Resolution of images and size there is continuous need of powerful compression techniques that provide higher compression ratio with higher performance in terms of better Peak signal to Noise Ratio and low Maximum Absolute Error ( MAE) . Consultative Committee for Space Data System (CCSDS) which is consortium of leading space agencies has defined such powerful compression standard called CCSDS “Image Data Compression”. It provides performance comparable to leading compression algorithms like JPEG2000 /SPIHT etc. This image compression standard is based on Discrete Wavelet Transform (DWT), low frequency DWT coefficient (DC-coefficient) quantization & Golomb-Rice coding and bit plane encoding of Higher frequency (AC) coefficients An outcome is produced for encoding performed to the low frequency substance of the DWT translated image because the human visual system is more delicate to the low frequency segment and encoding is carried out just on low frequency contains that gives lossy compression but accomplished high compression ratio. In this paper analyse the image with different quntization factor and shows that how many quntization bits are possible in image of low frequncy co-efficients and image visulization is available after reconstructing of image. Here in different images cheak with different quntization factor and cheak their compression parameter and image visulization.

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Water is the foundation of life. And even today, all around the world, far too many people spend their entire day searching for it. A person can survive without food for almost 50 days but only one week without water. 85% of the world population lives in the driest half of the planet. Clean, safe drinking water is scarce. Today, nearly 1 billion people in the developing world don't have access to it. The drinking water generator will comprise of the following parts. A double door refrigerator, a liquid pump, coolant, pipes, a filter, taps. The refrigerator will be used to cool the coolant which will flow through pipes and condense the water from air around it. This condensed water will then be filtered for to purify it and make it drinkable. The whole idea of creating this generator is to provide drinking water to households in remote areas where a pipeline system may not be feasible at the moment, besides the fact that electricity can be produced almost anywhere without the need of transmission from one place to another far away. The energy consumption will be as low as the normal running of a refrigerator. The aim of this project is to design and develop a water generator which can economically generate water which is potable especially in humid regions

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One of the most important sources of information, which plays a significant role in day-to-day life, is database. But using database languages like SQL for dealing with database is always a difficult task, which lead to development of natural language interface for databases. Natural language interface is step towards the development of an intelligent interface for making it easier for the novice users to access the database. This paper reviews the various NLIDB techniques referred in the literature and suggests future research.

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Reactive power plays an important role in supporting the real power transfer with voltage profile improvement and system reliability. It is a critical element for a transmission system operator to minimize the real power losses of system with minimizing the cost associated with it. Optimum scheduling of reactive power reduces the active power losses in the transmission system which is the main objective function of the work. In this paper work, a Particle Swarm Optimization method is used for Reactive Power Optimization problem. Particle Swarm Optimization swarm intelligence based search technique used to solve non-linear, complex power system problems. Reactive power optimization is made by reducing real power losses along with improving voltage profile. Proposed algorithm is implemented on IEEE 30-bus test system for PSO and Newton method using MATPOWER.

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The existing system in BHEL (EPD), the weighing of powder fed into press is done manually which is time consuming and affects production rate. Therefore the need arises for ‘automatic weighing and feeding machine’. Hence, we make use of Load cells in weighing the powder automatically. Project deals with minimization of job personnel, strain taken by them and automating the weighing system thereby enhancing the production rate. Using this automation, we get increased accuracy for the product made.

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In this present study the transmission line towers are mostly used for the supply a power in different way. Generally the effective transmission line towers are mostly used for the construction and the effective towers are generally depend on some basic parameters like its size, shape and bracing systems. The most effective parameter of transmission line tower is its different bracing systems. And the bracing systems are resisting the lateral forces due to wind and also improve the strength of the tower. A 132KV double circuit transmission line towers are modeled with 30m height and 7.0m base width with different bracing patterns like Warren bracing, Portal bracing and Single web bracing. And analyze the transmission line tower with different bracing with including loading conditions like dead load, live load, wind load (IS 802: part-1/sec- 1) for wind load calculation IS802 (part 1/sec1): 1995 using STADD pro. And compare the various results like deflection, weight of tower and check the effective bracing of transmission line tower.

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Microwave Hyperthermia is type of treatment of cancer tumors in which the body tumor is exposed to slightly higher temperature than the body in order to kill the cells or make it sensitive to radiation for certain anti-cancer drugs. To focus the heat into the tumors antennas or applicators are required, here coaxial slot antenna has been discussed for interstitial application in hyperthermia. The model was designed and simulated in CST studio suite and the SAR and temperature distribution of the antenna shows very well matching between theoretical and calculated results. The temperature around the tip is 55-60 degree celcuis which shows that the antenna can be effectively used for heating the tumors deep inside the vicinity.

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Biomass derived vegetable oils are quite promising alternative fuels for agricultural diesel engines. Use of vegetable oils in diesel engines leads to slightly inferior performance and higher smoke emissions due to their high viscosity. The performance of vegetable oils can be improved by modifying them through the transesterification process. In the present work, the performance of single cylinder water-cooled diesel engine using blends of diesel blended with undi biodiesel as fuel was evaluated for its performance and exhaust emissions. The fuel properties of biodiesel such as kinematic viscosity, calorific value, flash point, carbon residue and specific gravity were found. Results indicated that H25 has closer performance to diesel and H75 has lower brake thermal efficiency, mainly due to its high viscosity compared to diesel. The brake thermal efficiency for biodiesel and its blends was found to be slightly higher than that of diesel fuel at tested load conditions and there was no difference between the biodiesel and its blended fuels efficiencies. For undi biodiesel and its blended fuels, the exhaust gas temperature increased with increase in power and amount of biodiesel. But, diesel blends showed reasonable efficiency, lower smoke, CO2, CO and HC.

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Solar energy is one of the cleaner forms of renewable energy resources. The conventional solar collector is a well-established technology with certain limitations. This has various applications such as water heating, space heating and cooling. However, the thermal efficiency of these collectors is limited by the absorption properties of the working fluid, which is very poor for typical conventional solar evacuated tube collector. Recently usage of nanofluid, which is basically liquid- nanoparticles colloidal dispersion as a working fluid has been found to enhance flat plate TPCT (Two Phase Closed Thermosyphon) solar collector thermal efficiency. The objective of this proposed work is to design and develop the heat pipe flat plate solar collector which uses the circular heat pipes with their working fluid as TiO2-H20 nanofluid in addition with surfactant with provision of solar tracking mechanism. The project also aims to test the performance enhancement of nanofluid filled heat pipe flat plate solar collector compared with conventional flat plate solar collector in forced convection mode. Experimental results will be compared and interpreted accordingly.

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Rolling bearings are one of the most important and frequently encountered components in domestic and industrial rotating machineries. Use of CAD software since reduces very much time in whole lifecycle of product. Most of the industries use the different kinds of CAD software according to their need. They were facing so many problems while designing the part also there can be possibility to introduce automation for the particular process. And also helpful to visualize the model before it is produced the parametric nature of any component design makes the effective implementation of the design concept with ease and simplicity using Pro/Engineer.due to the availability of different features directly within the software. CAD software provides ease to prepare model virtually

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Mobile health (mHealth) monitoring in cloud, which imposes the prevailing mobile communications and cloud computing technologies to give feedback decision support, has been taken as a radical approach to increasing the quality of healthcare service while decreasing the healthcare price. Miserably, it also contains a severe risk on both users’ privacy and rational property of monitoring service providers, which could avert the vast adoption of mHealth technology. This paper is to confront this important drawback and model a privacy preserving mobile health monitoring system using cloud to secure the privacy of concerned parties and their information. Moreover, the outsourcing decryption technique and a lately proposed key secure proxy re encryption are suitable to shift the computational complication of the concerned parties to the cloud without compromising users’ privacy and service providers’ rational property. At last, our operation analysis and security indicates the efficiency of our proposed design.

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Energy and Water monitoring systems are focused to achieve efficient electricity and water control in smart grid systems. In order to achieve the effective systems, various functions such as measuring mechanisms, control mechanisms, management mechanisms and user interface mechanisms are required. In this project, energy intelligent software is supposed to read the smart meters and provide the overall details of all the electrical specifications and water consumption information. It consists of a Smart meter, Management gateway, Cloud server and User Interface. Our testbed can provide an water and energy measurement function, smart meter control function, an online monitoring function and an online control function. As the results, we show that it is a good fundamental platform to consider effective energy and water control mechanisms in real fields.

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Agile manufacturing, as a new manufacturing paradigm, requires a systematic study of its enablers to aid in successful adoption and implementation of the concept and practice. Agile manufacturing is a term applied to an organization that has created the processes, tools, and training to enable it to respond quickly to customer needs and market changes while still controlling costs and quality. But, implementation of agile manufacturing is not an easy task as it is full of lots of hurdles. The main objective of this paper is to identify the critical factors which help in the successful implementation of agile manufacturing in manufacturing organization.

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Hot air plays an import role in modem life. The consumption of hot air represents a significant part of the nation's energy consumption. One way of reducing the energy consumption involved, and hence the cost of that energy, is to reclaim heat from the waste warm air that is discharged to the sewer each day. The potential for economic waste air heat recovery depends on both the quantity available and whether the quality fits the requirement of the heating load. To recover heat from waste air in residential and commercial buildings is hard to achieve in quality because of its low temperature range. Nevertheless, efforts to recycle this waste energy could result insignificant energy savings. The objective of this research was to develop a two phase closed thermosyphon heat exchanger charged with nanofluid for a waste air heat recovery system. The advantage of the system proposed in this work is that it provides useful energy transfer during simultaneous flow of cold supply and warm drain air. While this concept is not new, the design of the TPCT heat exchanger with nanofluid for the present study is significantly different from those used previously. Component experiments were carried out to determine the performance characteristics of a heat pipe heat exchanger charged with nanofluid. By replacing the conventional fluid in heat pipe with CuO/H2O nanofluid (2% volume fraction) of the heat pipe heat exchanger good performance can be obtained. The maximum effectiveness obtained for proposed TPCT CuO/H2O charged nanofluid heat exchanger is 0.2862 (2% volume fraction compared with effectiveness 0.16 obtained with conventional heat pipe working fluid. The influence of mass flow rate and source temperature on effectiveness of TPCTHX exhibits same pattern as that of conventional working fluid. The maximum enhancement in effectiveness obtained is 35%.Thus the nanofluid as working fluid in TPCT enhances the effectiveness of heat exchanger.

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Wind power is a potential alternative to the conventional energy technology. However, the biggest challenge in integrating wind power into the electric grid is its intermittency. One approach to deal with wind intermittency is forecasting future values of wind power production. Here, statistical method based on artificial intelligence technique is presented.24 hours and 48 hours ahead forecasting of wind power is carried out using multi-layer feedforward neural network with back-propagation as learning algorithm. Optimum values of network parameters like number of hidden units in hidden layer, learning rate and momentum factor are used after rigorous experimentation. Mean Absolute Percentage Error for 24 hoursahead and 48 hours ahead is presented.

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To provide effective privacy protection in ad hoc networks, there are a number of anonymous routing schemes have been proposed. But these schemes provide significant computation overhead. The existing system introduces USOR, an efficient privacy preserving routing protocol that achieves content unobservability by using anonymous key establishment based on group signature. Here each node having a group signature signing key and an ID-based private key from an offline key server or by a key management scheme. The unobservable routing protocol is then executed in three phases such as anonymous key establishment process, privacy preserving route discovery and unobservable data packet transmission process in order to construct secret session keys as well as finding route to the destination. The USOR scheme protect packet’s content independent of traffic pattern unobservability which can be used with appropriate traffic padding schemes to achieve truly communication unobservability. The proposed system have the intention of developing unobservable routing scheme resistant against sybil attacks, collusion attack and an external attack. It discovers malicious nodes during route discovery process when they mitigate fabricated routing information to attract the source node to send data through malformed packet.

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A video authentication is a process of that verify the given digital video is authentic and exactly same as when captured. In current scenario different types of digital and multimedia editing software used to manipulation of video sequence frames and object motion very easily. In this Paper, Local features have good strength and discriminative ability SIFT descriptors are used here for video content description. Content matching using SIFT takes large amount of time and it is computationally expensive for high dimensions and large number of points. SIFT local invariant feature has many applications in different fields such as image retrieval, strong matching ability and machine vision. In this paper analyze the various Low level feature detection methods and main aim at computing image information and detect every image point These difficulties are solved by using dual threshold method which divides videos into segments having homogeneous content and by performing key frame extraction on each of these segments. SIFT features are then extracted from these key frames and SIFT feature sets of two video frames are matched using SVM based method. Experimental results also demonstrate that the proposed method can obtain a better exchange between the effectiveness and the efficiency of video copy detection.

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parallel resonant dc link that provides soft switching and pulse width modulated inverter is presented. The new PRDCL ensures zero crossing of time period.

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In context to feedback control system, the problem of state estimation for a class of nonlinear systems with measurement noise is studied. It is well understood that when implemented in feedback loop, the high gain observers are sensitive to measurement noise but are robust to model uncertainity. A trade-off always exists between fast state reconstruction and attenuation of measurement noise. A nonlinear gain approach can be used to overcome this trade-off between fast state reconstruction and measurement noise attenuation. In presence of measurement noise, the estimation error can be noticeably compromised if the observer gain is chosen too large. To achieve this, a high gain of the observer is used in transient state and lower gain is generated when steady state is reached. The effect of noise on the steady state performance is reduced by reducing the observer gain after achieving satisfactory state estimates.

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Hybrid metal matrix composites are the composites consisting of two reinforcement constituents in a metal or in an alloy to enhance the properties of the base metal or alloy. In the present study rice husk ash and aluminum oxide are the two reinforcements. The base metal or matrix metal is aluminum alloy (Al-Si12). The reinforcements are added in equal quantity. Different composition combination (2, 4, 6, and 8wt. % of aluminum alloy) has been taken of the reinforcements. In this research the effects of the reinforcements on the mechanical (micro hardness, tensile and flexural strength) and tribological properties has been studied. Wear test is performed on the pin-on-disc apparatus. The wear performance of the hybrid metal matrix composites (MMCs) is evaluated at load of 1kgf. Sliding distance is 1000meter and the sliding distance is 1.5m/s. The result shows that increase in the percentage of the reinforcement leads to increase in mechanical properties (tensile strength, flexural strength and micro hardness) and tribological properties.

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Facial expression recognition system has turn into a most emphasizing research area since it plays a most important part in human-computer-interaction. The facial expression recognition system finds foremost application in areas like social interaction and social intelligence like in diverse surveillance systems, defense systems, substantiation or verification of individual like criminals etc... The face can articulate emotion sooner than people verbalize or even understand their posture. Thus there is apparent need of unfailing recognition and identification of facial expressions. In this paper a review of various techniques used in facial expression recognition like PCA (Principal component analysis), LDA (Linear discriminant analysis) etc has been carried out. We have formulated the Face expression recognition technique as different phases and the survey is represented accordingly in tabular form emphasizing on their performance.

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Metal inert gas arc welding (MIG) is preferable more its inherent qualities like easy control of variables, high quality, deep penetration, smooth finish. The quality of weld depends on metal deposition rate which in turn depends on the process parameters. In this present work, the effect of Taguchi Methodology approach for experimental investigation of metal inert gas arc welding parameters welding current, welding voltage and wire feed speed on metal deposition rate has been studied.

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The goal of segmentation is typically to locate certain objects of interest which may be depicted in the image, segmentation could therefore be seen as a computer vision problem. Several general-purpose algorithms and techniques have been developed for image segmentation. To be useful, these techniques must typically be combined with a domain's specific knowledge in order to effectively solve the domain's segmentation problems. This paper presents a methodology to implement PSO algorithm for image segmentation.

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