Laplace Transforms and Its Applications
Laplace transform is a very powerful mathematical tool applied in various areas of engineering and science. With the increasing complexity of engineering problems, Laplace transforms help in solving complex problems with a very simple approach just like the applications of transfer functions to solve ordinary differential equations. This paper will discuss the applications of Laplace transforms in the area of physics followed by the application to electric circuit analysis. A more complex application on Load frequency control in the area of power systems engineering is also discussed.
Published by: Manju Devi
Author: Manju Devi
Paper ID: V3I3-1530
Paper Status: published
Published: June 13, 2017
Enhance Energy Efficient Low Cost WSN System for Precision in Agriculture Zone
Big amount of data is collected by the sensors from the end Subsequently, this considerably big amount of data must be processed, analyzed and stored in a effective ways. In this manner, an of computing resources and storage be provided to compute this large amount of data. To focused on introducing the latest technologies like as sensors, WSN to revise approaches to agriculture by collecting the data about the various parameters of soil, analyzes the data and performed the computations, giving the best optimal solutions for the farming. The application of computing in agricultural economy will open up a vast range of prospects, such as the vast storage of agriculture information, the cloud management of agricultural production process, the storage of agricultural economy information, early-warning and policy-making based on the agricultural products market, the tracing management of agricultural products quality
Published by: Prashant Suresh Mahure, Amit Fulsunge, Kartik Ingole
Author: Prashant Suresh Mahure
Paper ID: V3I3-1511
Paper Status: published
Published: June 13, 2017
Digital Money Monitoring
Il an system is to generally audit or maintain the transaction of each and every amount of a individual (i.e) tracking by this way will avoid the black money. If this system is implemented throughout the country then there will be no words will be hearing like black money. the bit coin means that for each and every currency in our application surrendered by the user will be generating the unique id for every currency, when the amount is transferred from source to destination not only the amount and count of the currency will be taken in addition to that unique id will also be transferred so that can track the path of the currency travelling around .If the unique id is not in a rotation then can analyze which is the last account it has entered and from that account it is unseen in this way maintain the auditing.
Published by: S. Divya Bharathi, D. Divya, S. Barath, K. Sakthipriya, S. Vijayalakshmi
Author: S. Divya Bharathi
Paper ID: V3I3-1481
Paper Status: published
Published: June 13, 2017
Segmentation of Brain MRI Using Multilevel Iterative Discrete PSO Based SVM
Image Segmentation is an important part of image processing which can be used to separate objects in images, ignoring the effects of lights and textures. The higher resolution and better spatial discrimination of soft tissues make MRI an effective method among other medical diagnostic modalities. The existing Particle Swarm Optimization (PSO) technique is not much effective approach since the space for feasible solutions of min – cut partitioning problem is excessively large, particularly when the number of vertices is in the thousands. In this paper, multilevel segregating method is combined with discrete PSO and developed Multilevel Iterative Discrete Particle Swarm Optimization algorithm (MIDPSO) for min – cut partitioning. MIDPSO works in three steps- partitioning phase, refinement phase, and recursive partition. The classifier Support Vector Machine (SVM), based on structured risk minimization is used here. By selecting the best features in the dataset; SVM increases the performance as well as reduces the computational time complexity. The proposed technique considers local as well as global to meet the requirement of precise segmentation. The proposed method aims in classifying the healthy and pathological tissues in the MRI images with high sensitivity, specificity and accuracy in least time.
Published by: Dhanya G. S, Dr. R. Joshua Samuel Raj, Sam Silva A
Author: Dhanya G. S
Paper ID: V3I3-1527
Paper Status: published
Published: June 12, 2017
Comparison of Techniques for Diabetic Retinopathy Detection Using Image Processing
Diabetic retinopathy remains an alarming prospect to patients and disappoints doctors. Destruction of damaged retina by photocoagulation remains the primary treatment almost 50 years after its presentation. The diabetes pandemic requires new ways to deal with the pathophysiology and enhance the discovery, prevention, and treatment of retinopathy. This point of view considers how the exceptional life systems and physiology of the retina may incline it to the metabolic worries of diabetes. The parts of neural retinal modifications and debilitated retinal insulin activity in the pathogenesis of early retinopathy and the instruments of vision misfortune are accentuated. Potential intends to defeat confinements of current creature models and demonstrative testing are additionally given the objective of quickening treatments to oversee retinopathy even with continuous diabetes. Modified exudates disclosure and retina pictures gathering would be valuable for diminishing diabetic retinopathy screening costs and engaging standard examinations. We proposed the wander that applies numerical showing which enables light drive levels highlight, exudates acknowledgment, capable and revise revelation of retina pictures.
Published by: Deshmukh Prajakta, Chavan Shruti, Rodrigues Winnie, Shinde Ashok
Author: Deshmukh Prajakta
Paper ID: V3I3-1532
Paper Status: published
Published: June 12, 2017
Analysis of Heat Reduction through Roof Using Innovative Insulation Technique
Buildings have significant and continuously increasing impact on the environment. The power consumption for comfortable housing is ever increasing, which is adding additional burden to the power crisis of the world. The main objective of this project is to reduce the heat transfer through the building roof by providing thermal insulation, thereby reducing the heat load on the building. Moreover, if the building is to be air-conditioned then effective thermal insulation will reduce the power consumption drastically and saves lot of energy consumption. New innovative type of insulation is proposed in this work to reduce the heat transfer through roof structure by using seashells and coconut shells. The coconut shells and seashells layer along with normal tiles will provide very good thermal insulation and it will maintain low roof bottom surface temperature when compared with the normal conventional concrete roof without insulation. Two identical experimental rooms were constructed on the top of the college mechanical engineering department block and were instrumented with thermocouple and RTD along with data logger for obtaining continuous experimental results. The amount of heat reduction provided by the insulated roof structure was calculated using analytical method. Then the cooling load requirement for air-conditioning and the corresponding energy cost per year was calculated for the new CAD lab of the mechanical engineering department. The result showed the huge energy savings potential for this innovative thermal insulation technique. The electricity savings obtained is around 39.7%.when compared with conventional concrete roof. This innovative technique for providing thermal insulation to the building is more affordable and comfortable for living.
Published by: A. Muralimanohar, Dr. J. Amos Robert Jayachandran, S. Srinath
Author: A. Muralimanohar
Paper ID: V3I3-1529
Paper Status: published
Published: June 12, 2017
