Sinhgad Academy of Engineering

About: Sinhgad Academy of Engineering is a based out in . It is known for research contribution in the topics: Microstrip antenna & Cognitive radio. The organization has 358 authors who have published 192 publications receiving 963 citations.

Diagnosis of pomegranate plant diseases using neural network

Abstract: Pomegranate is a fruit which grows with a very high yield in many states of India and one of the most profits gaining fruit in the market. But due to various conditions, the plants are infected by various diseases which destroy the entire crop leaving very less product yield. So, the work proposes an image processing and neural network methods to deal with the main issues of phytopathology i.e. disease detection and classification. The Pomegranate fruit as well as the leaves are affected by various diseases caused by fungus, bacteria and the climatic conditions. These diseases are like Bacterial Blight, Fruit Spot, Fruit rot and Leaf spot. The system uses some images for training, some for testing purpose and so on. The color images are pre-processed and undergo k-means clustering segmentation. The texture features are extracted using GLCM method, and given to the artificial neural network. The overall accuracy of this method is 90%. The results are proved to be accurate and satisfactory in contrast to manual grading and hopefully take a strong rise in establishing itself in the market as one of the most efficient process.

Design of compact pentagonal slot antenna with bandwidth enhancement for multiband wireless applications

Abstract: The compact design of a microstrip feed pentagonal shaped slot antenna with electromagnetically coupled pentagon parasitic patch is proposed in this paper for bandwidth enhancement. An aligned self-similarity pentagonal shaped structures, for slot and parasitic patch, at its vertex are used to broaden the bandwidth. The proposed antenna gives a wide bandwidth of 4.17 GHz (3.281–7.45 GHz), which corresponds to FRB 77.72%. The rotational behaviour of slot antenna illustrates good impedance matching over the wide bandwidth. Over the entire operating bandwidth, the antenna gain remains constant about 4.24 dBi and group delay is less than 0.5 ns. The simulated and measured results show its use in wireless applications.

ROI based DICOM Image Compression for Telemedicine

Abstract: Many classes of images contain spatial regions which are more important than other regions. Compression methods capable of delivering higher reconstruction quality for important parts are attractive in this situation. For medical images, only a small portion of the image might be diagnostically useful, but the cost of a wrong interpretation is high. Hence, Region Based Coding (RBC) technique is significant for medical image compression and transmission. Lossless compression schemes with secure transmission play a key role in telemedicine applications that help in accurate diagnosis and research. In this paper, we propose lossless scalable RBC for Digital Imaging and Communications in Medicine (DICOM) images based on Integer Wavelet Transform (IWT) and with distortion limiting compression technique for other regions in image. The main objective of this work is to reject the noisy background and reconstruct the image portions losslessly. The compressed image can be accessed and sent over telemedicine network using personal digital assistance (PDA) like mobile.