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Comparison Analysis of Modulation Technique of UWB, OFDM and CDMA for Different Parameter

With pace of time there is tremendous development in communication and on other hand as population increasing exponentially with time many severe traffic situations arises for example congestion problem, quality of service and cost also. A researcher always tries to resolve complexity of the system means system must be simple, cost effective and easy to use. In our dissertation research area is to compare different characteristics parameters of digital modulation technique so that a final conclusion can be made which technique is best one when we transmit data and finally it reach at destination with minimum bit error rate (BER). In base paper only CDMA technique is considered but in our dissertation work UWB and OFDM also considered. In our research paper we implemented simulation result CDMA, OFDM and UWB for different band pass technique for example BPSK, QPSK, QAM, 16 QAM, 64QAM, Calculate Transmitter and receiver message of CDMA, OFDM and UWB, Bit Error Rate, Signal-to-Noise ratio (SNR) and MSE Equalizer. Besides this our dissertation having multi input multi output (MIMO) antenna concept used. Earlier single antenna concept was used, now we use array of antenna to provide much efficient and good quality of service or we can say MIMO (Multi input Multi Output)

Published by: Pooja Budhwar, Dheeraj Kapoor, Nipin Gupta

Author: Pooja Budhwar

Paper ID: V3I4-1198

Paper Status: published

Published: July 21, 2017

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Research Paper

Shifted Histogram Using Optimal Shift Distance for Images with Entropy Value & Wavelet Decomposition Images

Histogram equalization is a method in image processing of contrast adjustment using the image's histogram. Histogram equalization automatically determines a transformation function that seeks to produce output images that has a uniform histogram. When automatic enhancement is desired that is good approach because result from this technique are predictable and method is simple to implement. Method used to generate a processed image that has a specified histogram is called histogram matching or histogram specification. In this thesis we applied advance algorithm to enhance the quality of an image and we succeeded and also got the entropy value of image by changing the scaling factor K we got different value and also got different shifted histogram image. In our research work we worked on different level to analyze the effect of algorithm. By changing scaling factor we get different EME and image enhanced significantly from which lot of important information can be recovered.

Published by: Rekha, Vijay Nandal

Author: Rekha

Paper ID: V3I4-1197

Paper Status: published

Published: July 21, 2017

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Isolation, Screening and Charaterization of Cellulolytic Bacteria, Determination of Their Cellulolytic Potential

Cellulosic biomass is one of the most dominant waste materials from various industries. Cellulose degradation and its utilization is important for global carbon sources. The value of cellulose as renewable source of energy has made its hydrolysis a subject of research and industrial interest. The present investigation is based on isolation, screening, and characterization of cellulolytic bacteria and determination of their cellulolytic potential. The work also concentrates on production of cellulase enzyme by submerged fermentation and its partial purification by centrifugation. Enzyme activities of selected isolates were determined by DNS method and finally application of potential isolates in degradation of various natural cellulosic substrates was carried out.

Published by: Jeeva Raj, Hema .C, Haris .S, Hema Amulya, Dr. Snehalatha V.

Author: Jeeva Raj

Paper ID: V3I4-1200

Paper Status: published

Published: July 20, 2017

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Role of Staging Laparoscopy in Gastric Carcinoma

Laparoscopy is a minimally invasive procedure used as a diagnostic tool and surgical procedure that is performed to examine the abdominal and pelvic organs. Staging laparoscopy is minimally invasive surgery for the diagnosis of intra-abdominal diseases. Despite increasingly sophisticated radiological diagnostic equipment, many patients with gastric, hepatic, or pancreatic malignancy continue to have the diagnosis of unresectable or metastatic disease made at exploratory laparotomy. Staging laparoscopy may aid in the more accurate staging of gastric cancers and guide appropriate treatment without the morbidity associated with exploratory laparotomy.

Published by: Dr. Pratik Hire, Dr. K. B. Golhar

Author: Dr. Pratik Hire

Paper ID: V3I4-1176

Paper Status: published

Published: July 19, 2017

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Comparing Three Neural Network Techniques in the Classification of Breast Cancer

Breast cancer is becoming common disease in women nowadays. Breast cancer is nothing but mass or group of uncontrollable growth of cells in body is called tumor. Benign is an initial stage of cancer and malignant is last stage of the cancer, these two are the stages of breast cancer. A man can survive or rate of survival is more in benign stage by taking a very good treatment by radiologist where as in malignant stage a man cannot survive directly it leads to death. Neural network is powerful classifier. Before classifying the neural network is to be trained by collecting the data or images from different datasets. After training the large dataset test the new data sample or breast image by extracting the new features from new image and then classifying the image into cancerous or non-cancerous. Finally, the results are compared with three neural network 1) Radial basis function 2) Feed forward neural network and 3) Back propagation neural network. Accuracy is calculated 95% of RBF, 96% of FFNN and 100% of BPNN.

Published by: Smitha Hallad, Prof. Roopa Hubballi

Author: Smitha Hallad

Paper ID: V3I4-1196

Paper Status: published

Published: July 19, 2017

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An Interactive Interface for Natural Language Query Processing to Database Using Semantic Grammar

Above and beyond the years field of natural language query processing (NLQP) has seen humangous changes in research as well as methodology. Trending issue within the database management is to provide a high level interface for layman. Major source of data which is generated in many organizations and companies are stored in database which plays important role in IT field. To access these data one need to know SQL language but since layman doesn’t have any knowledge about formal language i.e. SQL a proper interface is required. So an interface for NLQP to database by using semantic grammar deals with design and developing a system which understand the natural language like English and convert English language to SQL queries. So this paper presents thee insight of NLQP system on how to enable communication between human and computers without memorization of complex commands and procedures and also NLQP system is able to intelligently process the user request in reasonable human useable format.

Published by: Soumya M. D, B. A Patil

Author: Soumya M. D

Paper ID: V3I4-1194

Paper Status: published

Published: July 19, 2017

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