ECG analysis is one of the frequently researched topics in the diagnosis of cardiac disease. Many methods have been proposed for detection of different features of ECG. Each has its own significance. This paper explains 4 different existing methods for detection of R peak and two methods for detection of other features (P, Q, S, T peaks). The most commonly used method Pan-Tompkins method, Successive Differentiation method, Empirical mode decomposition method and Wavelet transform method have been performed and their performance have been evaluated for different ECG morphologies on the basis of false positive and false negative. Wavelet transform has shown comparatively better results.

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A typical wireless home automation system allows one to control house hold appliances from a centralized control unit which is wireless.User can control appliances through a hand held mobile terminal. Intelligent home appliance control system is developed through ARM microprocessor, embedded C, wireless communication technology. Now with the wireless technology digital devices form a network in which the appliances and devices can communicate with each other. The project demonstrates a system that can be integrated as a single portable unit and allows one to wirelessly control lights, fans and turn on or off appliance that is plugged into a wall outlet, get the status of sensors and take decision accordingly. This motivated us to use mobile phones to remotely control household appliances such as light, fan and motor for garden maintenance. Two modes of control used according to the user location, Bluetooth for Indoor and GSM for Outdoor. Different sensors are used to sense fire and window break, it will detect and giving alert messages to our mobile phones. When out of town, the user need not worry about feeding their pet animal. Simply send an SMS from their mobile phone and the system has servomotor to feed the pre stored food to the plate. The system allows one unique mobile phone to control all the home devices. Simulation results are designed in Proteus software and hardware is implemented in ARM microcontroller.

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The deregulation of the electricity industry in the word has made the problem of transmission congestion increasingly significant. It aggravates the smooth functioning of competitive markets. Also congestion problems are threatening to system securities. Therefore, investigation of techniques for congestion-free-wheeling of power is of paramount interest and necessary for the sake of system security. In this paper classical lagrange multiplier method is used to solved the congestion problem from the system. Here in this paper standard IEEE-30 System is used.

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Image steganography consists hiding of secret information inside the cover medium. Cover medium may be image file, video file or audio file. Cover file depends on size of information. Mainly they have two types of techniques available for steganography. One is spatial domain steganography and another one is Transform domain steganography. The main objective to be considered in the steganography method is high imperceptibility, due to high imperceptibility viewer cannot view the secret information inside the stego image. In this paper, a transform domain steganography is used for color image. Here integer wavelet transform is applied to each and every R, G, B planes of the image and then information is embedded separately in R, G, B planes. The proposed method is highly capable, rebustness and simple. Therefore we have be used to transfer very highly confidential information like military secrets and etc.

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Closed-circuit television (CCTV) is the use of video cameras to transmit a signal to a specific area, on a restricted set of monitors. This technology is being used for supervision in areas such as banks, airports, hospitals, and shopping malls etc. The installation of the CCTV helps to avoid crime and may assist in the solution of cases, influenced by the need for increased security. Smart video surveillance systems are proficient of enhancing situational awareness up to great amount. In planned system we have stated, Smart CCTV technology, which reviews the circumstances and alert the administrator directly and respond immediately. This project makes use of OpenCV library to capture camera images and detect intrusion using image comparison technique (block based background subtraction method). In this technique, a captured image has been divided into the standard sized blocks and then, only the required block of the earlier frame image is restructured in real-time. Once the comparison is completed and an interruption is found, it sends the video from server to distant administrator over android phone. Administrator can then take suitable action and feasible safety measures. We have designed the detect ability for a moving object region by rapidly creating a background image even if it is difficult to click a background image or we do not have the template image prepared in advance. It is also superior for observation of many places at the same time with only a single CCTV system since it is particularly suitable for sudden scene changes.

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A bidirectional isolated full bridge converter with conversion ratio around nine times, soft start up, soft switching and which is equipped with a fly back snubber and passive capacitor diode snubber have wide applications in battery charging/discharging circuits. Voltage spikes caused by current difference between leakage inductance and current fed inductor currents, the current spikes due to diode reverse recovery, and the current and voltage stresses can be reduced. It can achieve near ZVS and ZCS soft-switching features. In this paper operation principle of proposed converter with 48V on low side and 360V on high side is described and analysis is presented. Simulation of circuit with 48V at low voltage side and 360V at high voltage side has been presented.

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In this study, a multi-source hybrid alternative generation system consisting of wind, PV, fuel cell, electrolyzer and Super capacitor is proposed. Wind and photovoltaic are the primary power sources of the system to take full advantage of renewable energy around us. The FC/electrolyzer combination is used as a backup and long term storage system. For a stand-alone application, a super capacitor is also used in the system as short term energy storage to supply fast transient and ripple power. The overall power management strategy with standalone. Modeling and control of hybrid wind/PV/fc-super capacitor system is proposed in this dissertation work. All energy source and component is connected to the Ac bus. The main component of hybrid dynamic model are wind energy conversion system, PV energy conversion system, fuel cell, super capacitor, power electronics interfacing circuits, battery, hydrogen storage tank, gas compressor. Modeling and control of PV cell, Modeling and control of WECS, Modeling of fuel cell – super capacitor combination system and overall power management strategy are discussed in this dissertation work. Based on the dynamic component models, a simulation model for the proposed hybrid energy system has been developed using MATLAB/Simulink. For the coordination of power flowing between different energy sources the overall power management strategy is effective and power flow between different energy sources and load demand is balanced.

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“SKYSCRAPER CLEANER” is a machine powered by a combination of PLC’s and motors and linkages with majority of cleaning done manually. The addition of this technology will enhance this further making skyscraper cleaner an ideal choice for the companies having skyscrapers in metropolitan and polluted cities. Our device Skyscraper Cleaner achieves cleaning of surfaces at high rise and also at greater heights resulting in reduction of manpower and saving time. This saving is mainly relied on PLC which divides the function of various parts in the device by activating it whenever required and also controls the forward and backward movement of the entire device. Therefore, this is an automated device. These features make skyscraper cleaner efficient for cleaning high rise buildings and giving optimum output and customer satisfaction.

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In the present world, we all know that Biometric security is concerned with the assurance of confidentiality, integrity, and availability of information in all forms, in this work we are focusing on biometric authentication along with all security assurance. Authentication of a person is an important task in many areas of day-to-day life including electronic commerce, system security and access control. There is possibility of getting biometric template information by imposter and can change the information which leads to the leakage of information. If the authentication is not being done then there is compromise in security. The biometric authentication provides the ability to require more instances of authentication in such a quick and easy manner that users are not bothered by the additional requirements. The problem here is to authenticate using the information of the user without compromise in the security as well as the leakage of information of the individual. So, in this paper, we have proposed a multi-biometric model (integrating voice, fingerprint and facial scanning) that can be embedded in an information this making transactions more secure.

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The improvement the quality ring and rotor after doubling is depend upon single and double twist factor. S/Z rotor yarns have bigger diameter than S/Z twist factor. The twist over doubling of low twist rotor spun singles results in significant improvement in the tenacity of rotor yarn and the differences in the strength of ring and rotor spun yarns is considerably reduced. The breaking extension of doubled rotor yarns was greater than that of ring spun yarns for balance twist but lower for twist over twist doubling irrespective of twist multiplier of singles. Improvement in the imperfection of both type of yarn after doubling. In case of tenacity rotor yarn shows more improvement in the double yarn than ring double yarn.

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Recommender systems improve the access to relevant information and products by giving suggestions to the user based on user’s previous rating to the product or like and dislike of user towards the information. Many existing recommendation system use collaborative filtering approach that give recommendation based on other users preferences. On the other side we have content based method which gives recommendation based on user’s previous history or past profile. Game Recommender System aims to provide accurate results of recommendation to the user by both the available approaches. The system maintains user profile with certain ratings given to the games and based on that recommendation results are displayed to the user. The system has great advantage as it has personalized recommendation with social filtering methods to accurately recommend games to the user, so user can enjoy games that matches their interest and helps user to remove confusion as to which game they should play with plenty of games available in the market.

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DC motors have been widely used in many industrial and commercial applications. Speed control is a common requirement in industrial drives and commercial drives in the presence of different varying operating conditions i.e. load fluctuations, parameter uncertainty etc. Conventional controllers have not been successful for real time applications because of the drift in the plant operating conditions. Adaptive techniques best suited for these situations. The controllers have been considered without modeling of final control element. In practical applications, the effect of dynamics and nonlinearity of final control elements affects the performance of the system, so it is necessary to consider these for a dependable simulation of the drive performance. The overall system becomes non-linear due to the dynamics of converter used as final control element. In this study a new approach is being used, first the transfer function of the buck converter is obtained by considering a small linear region near the operating point, then using overall transfer function of buck converter and dc motor, the PID settings obtained. Fuzzy logic is used to update these settings on-line corresponding to the changes that may occur in system operating conditions. For more close to actual performance evaluation sinusoidal PWM controlled buck converter, used as final control element has been simulated using MATLAB. Here comparative results of PID and fuzzy adaptive PID control strategies implemented, for both types of control situations i.e. tracking speed control and the strength of approach is demonstrated.

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Sequential rule mining has been applied in several domains such as stock market analysis [3], weather observation and drought management [4].The most famous approach for sequential rule mining is that of Mannila et al. [3] and other researchers afterward that aim at discovering partially ordered sets of events appearing frequently within a time window in a sequence of events.

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This Paper describes Maximum Power Point Tracking system (MPPT) and mathematical modelling of wind turbine. Efficiency of wind energy conversion system has been improved by using MPPT. Due to the continuous variation in wind speed it is difficult to extract maximum power from wind. Therefore this method is incorporated with wind turbine to get maximum power output. In this paper the performance of wind turbine has been done by using mathematical modeling of fixed pitch Wind turbine. The simulation results shows that higher power output with MPPT Control using P&O method compared to without MPPT.

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Construction delay is a foremost problem faced by the construction industry in almost all countries in the world. There is no proper measuring method of time waste and all the causes of time waste are not precisely predictable. Many delay studies has concentrated on time delay analysis of the entire project schedule and there has been no attempt made for time delay analysis at discrete activity level. Extensive research is required for activity oriented time waste in construction. Study needs to be carried out on reason, causes and remedies for reduction in delay. The delay in construction project could be reduced by reducing activity oriented time waste generated and can be tackled at micro level thus enhancing the overall efficiency of the project.

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Cloud computing is ideal for places where the data remain in a fixed environment, which are unavailable. Today imparting of data with security places is a major issue in cloud computing. For security issues key aggregate place a vital role to offer secured data transfer. Cloud storage is a storage of data online in cloud which is accessible from multiple and connected resources. Cloud storage can provide good accessibility and reliability, strong protection, disaster recovery, and lowest cost. This paper provides the various techniques and methodologies that can be used for security in revocation process and also new method proposed for data importing in cloud computing. This aggregate key can be sent to the others for decryption of cipher text set and remaining encrypted files outside the set are remains confidential. In order to protect the sensitive information in the cloud storage the key revocation is used.

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In health care ecosystem there is large amount of rich information database available, but they lack inadequate techniques to gain useful information from the database. This is because of improper use of techniques to discover hidden relationship between the data. Useful information can be obtained by applying various data mining techniques on the attributes. The information which is gained can be applied for accurate disease predication and a well as treatment . Various clustering algorithms are used to mine the unsupervised data that is on dataset. K-means clustering algorithm (KCA) gives highest accuracy among the other clustering algorithm. Disease can be predicted at early stages and in less time and only from the symptoms and risk factors of affecting the individual. This paper involves preprocessing techniques, fuzzy logic and KCA which increases the accuracy of our proposed system.

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This paper presents a multiple objective genetic algorithm for multi depot vehicle routing problem time window (MD-VRPTW-MOGA). MD-VRPTW-MOGA is an expansion of VRP problems. MDVRP is a NP-hard problem which is more advantageous than VRP. MD-VRPTW simultaneously determines the routes for several vehicles from multiple depots to a set of customers and then return to the same depot with in time. The objective of this problem is to find the routes for vehicles to service all the customers at a minimal cost which is in terms of number of routes and total travel distance without violating the capacity and travel time constraints of the vehicles. A Multi objective Genetic Algorithm is provided to solve the proposed problem with new constraints.

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In this report we consider the problem of labeling the languages of words in mixed-language documents and remove disambiguity. For many languages that use non-Roman based indigenousscripts (e.g., Arabic, Greek and Indic languages) one can often find a large amount of user generated transliterated content on the Web in the Roman script. This content createsa monolingual or multi-lingual space with much script which we refer to as the Transliterated-Script space. This report describes a method to tag the word in multilingual transliterated content and remove disambiguity. The technique is based on the heuristic approach and comparing to different methods results. Therefore, it is a non-trivial task to tag the word and find disambiguity.

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Digital images require large amounts of memory for storage. Thus, the transmission of an image from one computer to another can be very time consuming.By using data compression techniques, it is possible to remove some of the redundant information contained in images, requiring less storage space and less time to transmit. Artificial Neural networks can be used for the purpose of image compression.Apart from the existing technology on image compression represented by series of JPEG, MPEG and H.26x standards, new technology such as neural networks and genetic algorithms are being developed to explore the future of image coding.This paper discusses various neural network architectures for image compression. Among the architectures presented are the Back-Propagation networks (BPN),Kohonen self-organized maps (KSOM),Hierarchical Self-organized maps (HSOM), Modular Neural networks (MNN), Wavelet neural Networks, Fractal Neural Networks, and Cellular Neural Networks (CNN).

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In voluntary oscillatory motion in muscle causes tremor in Human. Parkinson’s Tremor (PT) is one of the most common movement disorders. Without impeding the patient’s intentional motion estimating the tremor suppression in musculoskeletal level is a major challenge. To address this issue, a wearable device is designed for limb tremor could benefit a considerable number of patients, but the technology to suffer in this way is under-developed. In this paper a robust controller that can dynamically suppress pathological tremor with Raspberry-pi board is developed. Electromyogram (EMG) signal parameters are important for assessing muscle activity and fatigue. The start/stop times for each EMG burst are identified by the hand movement. Flexibility of the PT patient’s hand is identified using FlexiForce(flexible) sensor. Then the numerical values are measured and displayed in Raspbian OS with Qt creator. Finally the Simulation results are shown using LabVIEW software.

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Power quality is a measure of ideal power supply system. There are many voltage related power quality issues in the industries like impulse, voltage sag and swell, over and under voltage, flickers, harmonics, voltage interruption etc. but the harmonics is a very commonly and most affected issue in industry , So we focus on the harmonics and brief discussion about other issue. There are many nonlinear devices which are using in industries like air compressors, blowers, VFD operated motors and various air handling units which inject harmonics in to the line, which create power quality problem. Filter is used for reduce harmonics. Many types of filters are available in market like active filter, passive filter, low pass filter, high pass filter, single tuned filter, hybrid filter etc. We use hybrid filter for reduce the harmonics because it reduce the harmonics nearer to zero which is advance than any other filter. Matlab use for hybrid filter simulation and results shows how this filter reduces the harmonics.

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The aim of the project is to develop an action plan for watershed development. Watershed development is the process of creating and implementing plans, programs, and projects to sustain and increase watershed functions that affect the plants, animal and human communities inside watershed boundary. The recent technologies like remote sensing and GIS support us to giving a quicker and cost effective analysis of various applications with accuracy for planning. The present study is an attempt to develop watershed by using remote sensing and GIS in rural area of Vadodara district land. Study area selected by using Grouping analysis in Arc GIS.

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In recent years memory size in personal digital assistance is a crucial issue. Everyone needs more storage size to store data. Cameras are provided with more and more number of mega pixels to improve quality of captured image, but as quality improves, simultaneously size of image is also increases. Captured image is mostly in jpg format. There are two types of compression algorithms lossless and lossy image compression. This paper proposed a technique to compress captured image to reduce size of image to store without decreasing image quality. Number of images are taken and checked on proposed algorithm for compression ratio.

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Enormous amount of information is generated by the Proceedings. Online archives are repositories for technical reports. Here we review different bibliographic attribute extraction methods of PDF document to extract Title, Authors, Publication, Date, Pages, etc. Work done in the past can be classified into three major approaches: regular expression based heuristics, learning based algorithm and knowledge based systems.

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