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Phalnikar, Rashmi
- Research Methodology for the Development of Truck Controller Software Test Automation
Authors
1 MITCOE, Pune, IN
Source
Software Engineering, Vol 2, No 7 (2010), Pagination: 154-158Abstract
In truck manufacturing business, body controller module provides flexible on-vehicle integration capability. Body controller is used to integrate on-vehicle systems, but also provides the body controller capability as an enabler for body builder companies to integrate functionality such as emergency lights and hydraulic pumps that are part of the finished truck.
As a complex and configurable software/hardware component of the vehicle system, the body controller requires extensive testing. These applications are repetitive as well as time consuming hence needs to be automated. In order to overcome these disadvantages a cost effective automated testing is required. This paper proposes the implementation aspects of a reliable and accurate LabVIEW-based automated testing system
The proposed system permits the testing to be performed efficiently and without intervention. Most importantly, it relieves the operator of the usual responsibility for manually controlling the system for the test. Virtual instrumentation technique and PXI architecture is used which enhances the productivity, performance and reduces the cost through easy-to integrate LabVIEW-based application software and PXI modular hardware.
Keywords
Automated Testing, Body Controller, Virtual Instrumentation, PXI Architecture, Lab VIEW.
- Efficient XML Keyword Search
Authors
1 Information Technology Department, MIT College of Engineering, Pune, IN
2 Information Technology Department, MIT College of Engineering, IN
Source
Data Mining and Knowledge Engineering, Vol 4, No 11 (2012), Pagination: 549-554Abstract
extensible Markup Language (XML) is a semi structured text format which was designed to describe the data using custom tags. Custom tag makes an XML document self-describing so that it is easily understandable by human and machine. XML is now a standard format of data exchange between applications and used in configuration files of enterprise applications. The increasing preference to store and transmit data in the XML format has led to a need for searching these xml documents to retrieve useful information. Xpath and XQuery are powerful structured languages that are used to retrieve information from xml document. But these query languages are complex for non expert user to learn. Complex formats of query language restrict the usage of the xml database. Keyword search allows such user to retrieve information without understanding syntax of complex query language or schema of database. Along with the ease of retrieval of information, keyword search has some challenges like meaningful results, intension of search, keyword ambiguity, enormous results etc. This paper presents efficient keyword search method based on clustering and relevance ranking. Experiment has been conducted to show effectiveness of the proposed method.Keywords
Keyword Search, XML, Natural Processing, Information Retrieval, Clustering, Relevance Ranking.- Enhance Security of SOA with Data Mining
Authors
1 MITCOE, Pune, IN
Source
Data Mining and Knowledge Engineering, Vol 1, No 7 (2009), Pagination: 322-328Abstract
Service-Oriented Architecture (SOA) is an architectural paradigm for developing distributed applications so that their design is structured on loosely coupled services such as Web Services. One of the most significant difficulties with developing SOA concerns its security challenges, since the responsibilities of SOA security are based on both the servers and the clients. In recent years, a lot of solutions have been implemented, such as the Web Services Security Standards, including WS-Security and WS Security Policy. However, those standards are completely insufficient for the promising new generations of web applications, such as Web 2.0 and its upgraded edition, Web 3.0. In this work, we are proposing an intelligent security service for SOA using data mining to predict the attacks that could arise with SOAP (Simple Object Access Protocol)messages. Moreover, this service will validate the new security policies before deploying them on the service provider side by testing the probability of their vulnerability.Keywords
SOA, WS-Security, SOAP, Data Mining.- SIFT based Efficient Content based Image Retrieval System using Neural Network
Authors
1 Savitribai Phule Pune University, Information Technology, MIT College of Engineering, Pune, IN
Source
Artificial Intelligent Systems and Machine Learning, Vol 7, No 8 (2015), Pagination: 234-238Abstract
Substantial accumulations of computerized photos are consistently made. Various collections of digital photos like in the area of technology, private organization, etc. are structured because of the result of digitizing existing accumulations of simple pictures, charts, outlines, canvases, and archives. For the most part, the main strategy for investigating these accumulations was by perusing or indexing of index words, Digital photo databases begin the best approach to searching based on content. In this paper, we have shown a strategy that has no past information about the picture inside the database, yet retrieval is carried out considering the content data of the pictures prone to be called as content based on image retrieval. Here we are attempting to enhance the image retrieval framework for more exactness and efficiency by utilizing Radial base Function neural system. This arrangement with multilayer feed forward system recognition. By utilizing these procedures we can get into know the exact relevant image gave by the client according to the query. The Scale Invariant Feature Transform (SIFT) is a standout amongst the most nearby feature detector and descriptors which is utilized as a part of the vast majority of the vision programming. In this paper in regards to CBIR framework we can use SIFT algorithm to concentrate the nearby feature of the pictures.The retrieval method has been implemented on two CBIR systems, one using multiple features and the other using only RBG feature. The results obtained are positive and we have obtained higher precision (81.93%) using multiple features than that of using only RGB (41.18%). Experiment demonstrates that the proposed system get better results of retrieval system.