The Lighthill acoustic analogy equation is adopted to research noise distribution at dissimilarity positions and the variations are conducted based on the numerical verification of flow field under different turbulence models, time step sizes and meshes. The results showed the proposed computation method is reliable and practicable to obtain the complex flow parameters in the ramjet combustion chamber; Most of the noise is higherfrequency,and the differences in the near and far field are proven. In addition, noise laws are identical with the same horizontal position.

Medical image compression plays a key role as hospitals move towards filmless imaging and go completely digital. Image compression will allow Picture Archiving and Communication Systems (PACS) to reduce the file sizes on their storage requirements while maintaining relevant diagnostic information. Lossy compression schemes are not used in medical image compression due to possible loss of useful clinical information and as operations like enhancement may lead to further degradations in the lossy compression. Medical imaging poses the great challenge of having compression algorithms that reduce the loss of fidelity as much as possible so as not to contribute to diagnostic errors and yet have high compression rates for reduced storage and transmission time. This paper outlines the comparison of compression methods such as Shape-Adaptive Wavelet Transform and Scaling Based ROI,JPEG2000 Max-Shift ROI Coding, JPEG2000 Scaling-Based ROI Coding, Discrete Cosine Transform, Discrete Wavelet Transform and Subband Block Hierarchical Partitioning on the basis of compression ratio and compression quality.

Detection of affected areas in images is a crucial step in assessing the depth of the affected area for municipal operators. These affected areas in the underground images, which are line images are indicative of the condition of buried infrastructures like sewers and water mains. These images identify affected areas and extract their properties like structures from the images, whose contrast has been enhanced... A Centroid Model for the Depth Assessment of Images using Rough Fuzzy Set Techniques presents a three step method which is a simple, robust and efficient one to detect affected areas in the underground concrete images. The proposed methodology is to use segmentation and feature extraction using structural elements. The main objective for using this model is to find the dimensions of the affected areas such as the length, width, depth and the type of the defects/affected areas. Although human eye is extremely effective at recognition and classification, it is not suitable for assessing defects in images, which might have spread over thousands of miles of image lines. The reasons are mainly fatigue, subjectivity and cost. Our objective is to reduce the effort and the labour of a person in detecting the affected areas in underground images. A proposal to apply rough fuzzy set theory to compute the lower and upper approximations of the affected area of the image is made in this paper. In this connection we propose to use some concepts and technology developed by Pal and Maji.

Higher education faculty staffs lack behind any prior training program of teaching. Mostly staffs teach students in his/her ways. They are unaware of the qualities of a teacher which they must possess as how to tackle the problems arising in teaching, what key points must be remembered while teaching etc. This may cause a teacher to be unsuccessful in classroom. So the problem is the amount of knowledge a staff has of a teaching process. Educationist finds few qualities of a good teacher. But their method is qualitative. In this paper a quantitative approach i.e. data mining is used to measure the quality of a teacher and suggest them what qualities they have.

Failure Mode and Effect Analysis (FMEA) is an important method to ensure the effectiveness of manufacturing process, which can prevent the happening of various potential failure. If the knowledge of FMEA can be accumulated and utilized reasonably, the quality management in manufacturing process will get decision support timely, and the efficiency of product quality problem analysis also can be improved. But, it is impossible to integrate the dispersive FMEA knowledge in the manufacturing process because there is a lack of unified management criterion of FMEA knowledge. In order to satisfy the requirement to share, reuse, and maintain FMEA knowledge, the representation method of FMEA knowledge based on ontology is put forward in this study. The structure of FMEA knowledge ontology can be described via visual modeling tool- Unified Modeling Language. In this study, the FMEA repository has been built and the acquisition, storage and searching of FMEA knowledge has been researched to satisfy the need of sharing and reusing of the FMEA knowledge in the manufacturing process.

Smart Parking Systems obtain information about available parking spaces, process it and then place the car at a certain position. A prototype of the parking assistance system based on the proposed architecture was constructed here. The adopted hardware, software, and implementation solutions in this prototype construction are described in this paper. The effective circular design is introduced here having rack-pinion special mechanism which is used to lift and place the car in the certain position. The design of rack pinion mechanism is also simulated using AUTODESK INVENTOR and COMSOL software.

This paper focuses on the construction of a Semi Automatic Ontological tree in the domain of Pilgrimage Tourism in South India for the purpose of enhancing the efficiency in the online Information Retrieval. The proposed system uses two languages Tamil and English for the input query and document retrieval. The user can pose the query in either Tamil or English and the resultant document will be displayed in the query language. In order to retrieve more relevant documents, a semi-automatic Ontology tree has been constructed. The semi automatic ontological tree uses only the English language. Machine Translation approach is used to translate the retrieved result to the language that of the user’s query. Our system produces the better results for the simple user’s query about Pilgrimage Tourism in South India for which the answers could be retrieved from the updated semi automatic ontological tree itself.

This paper focuses on experimental results to prove that motor current signature analysis (MCSA) can diagnose shorted turns in low voltage stator windings of 3-phase induction motors using LabVIEW. The diagnostic strategy is presented and variables that influence the diagnosis are discussed. Current spectra from motors with short-circuited turns (with and without short circuit current limiting resistors) are presented and fully analyzed. Results from motors tested to failure are reported. The results in this paper were from industrial motors of different pole numbers with concentric and lap wound winding designs. Since stator failures account for a high percentage of failures the results are particularly relevant to industry.