SDM College of Engineering and Technology

About: SDM College of Engineering and Technology is a based out in . It is known for research contribution in the topics: Diesel fuel & Combustion. The organization has 350 authors who have published 351 publications receiving 2399 citations.

Factors Influencing the Efficacy of Agile Usage

Abstract: Agile techniques that utilize iterative development are broadly used in various industry projects as a lightweight development technique which can satisfy the continuous changes of requirements. Short repetitions are used that are required for efficient product delivery. Traditional and old software development methods are not much efficient and effective to control the rapid change in requirements. Despite the benefits of Agile, criticism on agile methodology states that it couldn’t succeed to pay attention to architectural and design issues and therefore is bound to produce small design-decisions. The past decade has observed numerous changes in systems development with many organizations accepting agile techniques as a viable methodology for developing systems. An increase in the number of research studies reveals the growing demand and acceptance of agile methodologies. While most research has focused on acceptance rate and adaptation of agile practices, there is very limited knowledge of their post-adoption usage and incorporation within organizations. Several factors explain the effective usage of agile methodologies. A combination of previous research in Agile Methodologies, Diffusion of Innovations, Information Systems implementation, and Systems Development has been carried out to develop a research model that identifies the main factors relevant to the propagation and effective usage of agile methodologies in organizations.

Neural Deployment Algorithm for WSN: A Concept

Abstract: Today’s world wireless sensor networks (WSNs) are gaining more and more importance in any of the domains of industry. Plenty of research and development has happened, and it is going on in the field of WSN. The importance of conservation of energy in WSN in most of its applications will provide the best scope for WSN development. Sufficient literatures are already carried for deployment of nodes leading to conservation of energy. One of the important application areas of WSN is area monitoring where the nodes have to move forward to sense the area and come back to the original positions. This paper provides solution for this problem by the concept of change in the positions of nodes using a simple neural network concept. This concept considers the energy, distance, and sensing of nodes as the basic parameters in moving a single node or all nodes. The main concept in this paper is to propose a deployment strategy that changes the positions of the nodes according to the activation function decision.

Efficiency of FEC coding in IP networks

Abstract: We propose a model-based analytic approach for evaluating the overall efficiency of Forward Error Correction (FEC) coding combined with interleaving in combating packet losses in IP networks. The loss of various packets during the data transmission can be reduced by using FEC coding. This unified approach provides an integrated framework for exploring the tradeoffs between the key coding parameters such as interleaving depths, channel coding rates and block lengths. The Reed-Solomon codes facilitate the selection of optimal coding strategy used for text based and multimedia applications with various user Quality-of-Service (QoS) requirements and system constraints. In this paper, we have evaluated the efficiency of FEC coding with interleaving in IP networks and observed that 99% of efficiency of error correction in the network.

Brightness Mode Echocardiogram Image Compression using 3D LEBP and 3D SPIHT

Abstract: In this paper a new approach for compression of Brightness mode (B-Mode) echocardiogram image is proposed. Echocardiogram images raw format requires more storage, which is really a big issue as the quality of the image data cannot be hindered. It becomes necessary to compress these data in order to avoid issues related with storage. The implemented method compresses B-Mode efficiently, a two-dimensional ultrasound image that represents ultrasound echoes composed of bright dots. To achieve a high rate of image compression and to preserve the image information, three-dimensional listless embedded block partitioning (3D-LEBP) along with 3D set partitioning in hierarchical trees (3D-SPIHT) algorithms are used. A video is used as an input which is converted into frames and subsequently 3D-LEBP is applied on these frames for compression. The result shows that the size of the data is significantly reduced by employing this method. The performance of this method has been evaluated using Mean Squared Error (MSE), Peak Signal to Noise Ratio (PSNR), Structural Similarity Index (SSIM) and Edge Preservation Index (EPI). The results obtained outperform the method used in previous research work.

PAN based carbon fibre manufacturing

Abstract: In Carbon Fibre (CF) production, generally Polyacrylonitrile (PAN) precursor issubjected to namely three process- polymerisation, carbonization, and heat treatment. Oxidationprocess is the first and foremost stage of the PAN fabrication, and subsequently it undergoescarbonization. Prior to carbonization, an important step-stabilization process is performed as part ofthe oxidation process. The stabilization is performed by ranging temperatures between 200°C250°C.The carbon fiber manufactured has the density of 1.75-1.76 g/cc and tensile strength of 3.5-3.8 Gpa.