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    2523 research outputs found

    An Efficient Regression Testing By Computing Coverage Data For Software Evolution

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    Software systems is evolve continuously during development and maintenance. After software is modified regression testing is applied to software to ensure that It behaves intended and modifications not negatively impacts its original functionality .It is time consuming to rerun test suite T of program Pi on modified program Pi+1.So there are many regression testing techniques are there for doing regression testing. These are based on coverage data. So computing coverage data for Pi+1 without rerunning all test cases is the problem for doing regression testing of program Pi+1.This paper proposed a new approach that computes coverage data with selecting test cases T’ for the subsequent versions of the software .By computing coverage data for subsequent version of software on without rerunning entire test suit T we can improve overall time taken to retest the evolving software using Regression testing. This paper focus on improving the performance of regression testing for software evolve continuously during maintenance, by implementing a new approach for regression testing by computing coverage data for evolving software using dataflow analysis and execution tracing

    A System for Outlier Detection of High Dimensional Data

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    In high dimensional data large no of outliers are embedded in low dimensional subspaces known as projected outliers, but most of existing outlier detection techniques are unable to find these projected outliers, because these methods perform detection of abnormal patterns in full data space. So, outlier detection in high dimensional data becomes an important research problem. In this paper we are proposing an approach for outlier detection of high dimensional data. Here we are modifying the existing SPOT approach by adding three new concepts namely Adaption of Sparse Sub-Space Template (SST), Different combination of PCS parameters and set of non outlying cells for testing data set

    The Application of Case-Based Reasoning to Estimation of Software Development Effort

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    Accurate project effort estimation is an important goal for the software engineering community. Till date most work has focused upon building algorithmic models of effort estimation for example COCOMO. We describe an alternative approach to estimation based upon the use of analogy. The objective is to estimate the development effort of student programs based on the values of certain attributes. We have developed a case based reasoning model and have validated it upon student data. Due to the nature of the software engineering domain, it is important that software cost estimation models should be able to deal with imprecision and uncertainty associated with such values. It is to serve this purpose that we propose our case based model for software cost estimation. We feel that case based models are particularly useful when it is difficult to define concrete rules about a problem domain in addition to this, expert advice may be used to supplement the existing stored knowledge

    A Novel Method for Feature Extraction and Classification for an Aerial Image and LiDAR Data with Genetic Algorithm

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    Airborne Light Detection and Ranging (LiDAR) provides accurate height information for objects on the earth, which makes LiDAR become more and more popular in terrain and land surveying. In particular, LiDAR data offer vital and significant features for land-cover classification which is an important task in many application domains. Aerial photos with LiDAR data were processed with genetic algorithms not only for feature extraction but also for orthographical image. DSM provided by LiDAR reduced the amount of GCPs needed for the regular processing, thus the reason both efficiency and accuracy are highly improved. LiDAR is an acronym for Light Detection and Ranging, which is typically defined as an integration of three technologies into a single system, which is capable of acquiring a data to produce accurate Digital Elevation Models

    International Grid: New Way to Prevent Blackouts

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    Nowadays the conventional grids are facing lots of problems like poor efficiency, unaffordable maintenance, high power loss, overloads and blackout or power outages. The main objective of this paper is to present the new concept of International Grid and to root out the problems which are prominent in conventional grids. The evolution of International Grid is a smart way to ensure the prevention of blackouts which are drastically increasing even with the advent of new technologies. The International Grid concept is introduced to highlight alternative, automated technologies that may bring significant benefits to the transmission and distribution networks. The real time application of International Grid is not only easily feasible but also requires less number of components for installation. We are presenting the structure and efficient working along with synchronization of International Grid with various components

    Reactive Power Loss & Efficiency Calculation Using Load Flow Technique In Distribution System For Pune City

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    Reactive power compensation is an important issue in electric power systems, involving operational, economical and quality of service aspects. Consumer loads (residential, industrial, service sector, etc.) impose active and reactive power demand, depending on their characteristics. This paper presents an efficient method for solving the load flow problem in distribution systems and which is implemented for Pune city (India) to check the validity of proposed method. A simple algebraic matrix equation to solve the load flow problem is derived by using the complex power balance equations. By adopting the rectangular coordinate, which requires the neglect of only second order terms in the linearization procedure, the proposed method gives better convergence characteristics. Newton-Raphsonmethod is the famous load flow calculation technique, and normally used dueto its rapidness of numerical convergence. The proposed method estimates the incremental changesof active power on each generation bus with respect to the total system power loss, efficiency and the estimated value are used to update the slack bus power

    Interactive Database System

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    With the revolution in the technology and lifestyle of human race, the need of easy life and faster result in the need of an hour. Due to complex life and fast growing technology it is always desired to obtain results for any query, problem or requirement with the speed of light. Only technology can satisfy human today and hence objective of the project is to design an Interactive Database System on a remote device, where the end-user can edit, search, manipulate and acquire relevant information from the database using predefined SMS formats. The aim of the project is to develop a server PC, which is equipped with two programming tools, namely, Visual Basic at the front end for implementing the behavior of the entire system and developing GUI and SQL server at the backend for maintaining the entire system’s database

    Secure E-Tendering Using Identity Based Encryption from Bilinear Pairings

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    An electronic tender system (e-tender) streamlines the tender process and thereby saves time and cost. Security requirements for e-tendering systems have not been closely scrutinized in the literature. In addition to the security concerns of conventional e-tender systems—authentication, integrity, privacy, and non-repudiation are provided. This paper identifies key issues to be addressed in the design of secure e-tendering systems. Key issues are the privacy protection and verifiability. A new e-tendering architecture, based on Identity Based Encryption from bilinear pairings is proposed which may be suitable for secure large scale operations. A Encryption is a scheme that provides private and authenticated delivery of message between tenderer and tenderee. This is done in a more efficient manner than a straight forward composition of an encryption followed by signature scheme. An Identity based Cryptosystem is one in which the public key may be as String (E-mail Address, PAN No., etc). We propose Identity based encryption for secure e-tendering system that satisfies all the requirements an ideal atomic system requires. The elegant design makes it efficient both in computation and in communication. Secure e-Tendering System is carrying out of the tendering process using electronic means, such as the internet and specialist e-tendering software applications with a secured scheme

    Comparative Study on Thresholding

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    Criterion based thresholding algorithms are simple and effective for two-level thresholding. However, if a multilevel thresholding is needed, the computational complexity will exponentially increase and the performance may become unreliable. In this approach, a novel and more effective method is used for multilevel thresholding by taking hierarchical cluster organization into account. Developing a dendogram of gray levels in the histogram of an image, based on the similarity measure which involves the inter-class variance of the clusters to be merged and the intra-class variance of the new merged cluster . The bottom-up generation of clusters employing a dendogram by the proposed method yields good separation of the clusters and obtains a robust estimate of the threshold. Such cluster organization will yield a clear separation between object and background even for the case of nearly unimodal or multimodal histogram. Since the hierarchical clustering method performs an iterative merging operation, it is extended to multilevel thresholding problem by eliminating grouping of clusters when the pixel values are obtained from the expected numbers of clusters. This paper gives a comparison on Otsu’s & Kwon’s criterion with hierarchical based multi-level thresholding

    A New VLSI Architecture of Parallel Multiplier–Accumulator Based on Radix-2 Modified Booth Algorithm

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    In this paper, we proposed a new architecture of multiplier-and-accumulator (MAC) for high-speed arithmetic.By combining multiplication with accumulation and devising a hybrid type of carry save adder (CSA), the performance was improved. Since the accumulator that has the largest delay in MAC was merged into CSA, the overall performance was elevated. The proposed CSA tree uses 1’s-complement-based radix-2 modified Booth’s algorithm (MBA) and has the modified array for the sign extension in order to increase the bit density of the operands. The CSA propagates the carries to the least significant bits of the partial products and generates the least significant bits in advance to decrease the number of the input bits of the final adder. Also, the proposed MAC accumulates the intermediate results in the type of sum and carry bits instead of the output of the final adder, which made it possible to optimize the pipeline scheme to improve the performance. The proposed architecture was synthesized with 250, 180 and 130 m, and 90 nm standard CMOS library. Based on the theoretical and experimental estimation, we analyzed the results such as the amount of hardware resources, delay, and pipelining scheme. We used Sakurai’s alpha power law for the delay modeling. The proposed MAC showed the superior properties to the standard design in many ways and performance twice as much as the previous research in the similar clock frequency. We expect that the proposed MAC can be adapted to various fields requiring high performance such as the signal processing areas

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