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.

Integration of Solar Photovoltaic Generation in a Practical Distribution System for Loss Minimization and Voltage Stability Improvement

Abstract: In present days, power systems are more complex and highly stressed due to rise in population, and it requires more electrical demands. Presently, the distribution losses in India are approximately 25–30%. In recent days, distributed generation (DG) units are attracting the utility and consumers to use it largely in distribution system, to get more benefit from this like reduced power losses, increased reliability and maintain voltage stability. To get more benefits from DGs, it is necessary to find out its proper size and position. In this paper, a new analytical method is used to calculate the loss sensitivity factor at the buses, which is used to find best size and location of DG to increase the performance of distribution system. The mainly used DG units are PV unit and shunt capacitor for analysis of proposed method in one of the practical feeders with 41-bus emanating from 110/11 kV Alkola substation in Shivamogga, Karnataka, India. The loss sensitivity factor method is used to find optimal position and size of DG in the practical system. Power World Simulator (PWS) software is used to model the practical feeder, and simulated results are analysed for voltage magnitude and system losses. The result indicates that optimal position and size of DG will recover the voltage profile in the system within the suitable limits, and system losses are reduced.

Image Quality Improvements Using Quantization Matrices of Standard Digital Cameras in DCT Based Compressor

Abstract: In the field of image compression, loads of scope exist for research. This work facilitates the platform to investigate and divulge the evidence of usage of vector quantization process in unique, prominent and renowned digital cameras of the present day. The work encompasses discrete cosine transform (DCT) based image compression technique using vector quantization of corresponding digital cameras, applied to standard test images. The luminance and chrominance quantization matrices of two digital cameras, namely Canon PowerShot A700 (Superfine) and Fuji FinePix A700 (Fine), are selected, which are investigated and verified as quantization level of 50. The proposed technique comprises not only one level of quantization; however, the vector quantization is variable from level 10 to 75. Both qualitative and quantitative analysis are carried out to verify the functionality and applicability of the algorithm. In addition, the functional verification of the said technique is carried out on Raspberry Pi low-cost embedded platform.

Predictive patch matching method for inter frame coding in advanced video coding

Abstract: In video coding, inter-frame prediction acts a vital role in convalescing (improving) compression competence. The enhanced efficiency is attained by finding the predictors for video blocks such that residual information is close to zero as much as promising. The modern video coding standards, motion vectors needed for the decoder to situate the predictors through the video reconstruction. The block matching algorithms can be employed in stage of the motion estimation to discover the motion vectors. A linear combination of rebuild the predicted pixels permit to produce a prediction though maintaining a local variation of block. Then the mode system is introduced to adaptively choose the predictive patch matching at the sub block level and H.264. The experimental results express the efficiency of propose predictive patch matching method.

Profile based motion generation for actuators using LabVIEW software

Abstract: Now a day's simulation has become great tool for designing of complex problems and to get the accurate results. Simulating something will give the appropriate result without actually building the model. LabVIEW software is used for the actuator simulation and to move the actuator on the path generated by this software. Defining of the path for the actuator is known as motion profile and it can be achieved by using the motion controllers. One of the prior control techniques used is a PID (proportional integral derivative) control and it is broadly utilized as a part of criticism control of mechanical procedures in early years and continued to be the main generally utilized controller in procedure controls till today.

Roadmap to distillery spent wash treatment and use of soft computing techniques

Abstract: Distillery industries in several regions all over the world pose a serious risk, as it generates unpleasant compounds. Under such circumstances, it seeks an effective spent wash treatment, to eliminate the contaminants. Accordingly, this paper provides a relevant review regarding the distillery spent wash treatments, associated with the proper treatments and coagulants. At first, it reviews 67 recent research papers, from which 24 papers belong to distillery spent wash treatment and remaining belongs to other treatments. Further, it extends the valuable chronological review on distillery spent wash treatment. In addition, it describes the several processes such as anaerobic treatment, aerobic treatment, nanofiltration, reverse osmosis, adsorption and electrochemical treatments, adopted to treat distillery spent wash as reported in the literature. In the same way, it analyses the usage of different types of coagulants such as natural, electro and chemical coagulants used in distillery spent wash treatment. To the next of the coagulant analysis, it checks out the performance review of entire contributions on distillery spent wash treatment. The conventional process for distillery spent wash treatment having limitations such as limited removal efficiency, high operating cost and maintenance also it needs a high detention time that eventually increases the on the whole treatment process time. The aforesaid limitation can be overcome by adopting soft computing techniques. Soft computing has been widely studied and applied in the past three decades for engineering and scientific research computing. In environmental engineering, engineers and researchers have effectively used various techniques of soft computing like fuzzy logic, artificial neural networks, adaptive neuro-fuzzy inference systems, and support vector machines which can be useful for the researchers to achieve further research on distillery spent wash treatment.