IJSPR: Volume 04 Number 01
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IJSPR - Volume 04, Number 01

Published On : October 2014
SNo. Paper Title & Authors Page
Abstract: In the coming of era the digitized image is an important challenge to deal with the storage and transmission requirements of enormous data, including SAR images. Compression is one of the indispensable techniques to solve this problem. In this paper we compared the improved result of PSNR using wavelet transform along with various type of coding algorithm. The outcome is analysed by variation in BPP (Bit per pixel) for a given image and based on varying BPP we can compare various parameters like peak signal-to-noise ratio and Mean square Error. The directional lifting- wavelet transform along with fast Fourier transform is a very effective approach with low complexity. Using DLWT_FFT along with bit plane coding algorithm we can improve the performance analysis.
Keywords— Synthetic aperture radar(SAR), Directional lifting wavelet transform fast Fourier transform (DLWT_FFT), Set partitioning in hierarchical trees(SPIHT).
Abstract: Wireless sensor networks (WSNs) have received tremendous attention in recent years because of the development of sensor devices, as well as wireless communication technologies. It is usually deployed in inaccessible terrains, disaster areas, or polluted environments, where battery replacement or recharge is difficult or even impossible to be performed. For this reason, network lifetime is of crucial importance to a WSN. Clustering is a key technique to improve the network lifetime, reduce the energy consumption and increase the scalability of the sensor network. This paper surveys the different clustering algorithm for heterogeneous WSN and compares these protocols on various points like, location awareness, clustering method, heterogeneity level and clustering Attributes.
Keywords— WSN, Clustering Algorithm, Protocols.
Abstract: Brain trauma detection is one of the challenging tasks in medical image processing. Because brain image and its structure are complicated that can be analyzed only by expert radiologists. Magnetic Resonance Imaging (MRI) is a medical diagnostic technique that creates images of the human body. Magnetic resonance (MR) imaging is more perfect information for medical examination than that of other medical images. We use a different segmentation method to analyze the exact size and location of tumor.
Keywords— Magnetic Resonance Imaging (MRI), Brain, trauma, Pre-processing, segmentation.
Abstract: Power consumption plays an important role in any IC, VLSI design and electronic device. In this paper a literature review of true single phase clocking (TSPC), clock pair shared flip flop (CPSFF) and multi threshold voltage complementary metal oxide semiconductor (MTCMOS) techniques. Among those techniques clocked pair shared flip flop consume least power compare to true single phase clocking flip flop. MTCMOS technique which reduce the power consumption of any electronics device by approximately 40% to 60% than the original CPSFF.
Keywords— Flip flop, TSPC, CPSFF, and MTCMOS.
Abstract: Remote control systems are a very useful element to control and monitor devices quickly and easily. This paper proposes a new architecture for remote control of Android mobile devices, analyzing the different alternatives and seeking the optimal solution in each case. Our paper mainly aims to realize a system that remotely controls information inside the terminals (Mobile) in this case. The system is a software that will track our mobile event during offline i.e when the mobile is not with us and notify us all the event through Web access. We can simply log on to our web service and track all the event happening on the mobile on our desktop in the event we are not carrying the device with us.
Keywords— SNS (Social Network Service), Augmented Reality, GPS (Global Positioning System) ,Android, Remote Control, VNC, Java, Mo- bile devices, Security solutions for mobile devices, Remote visualization.
Abstract: This paper focuses on Moving Nuts or Bolts is Sensed by Proximity Sensor and image is acquired by a Web Camera and image is processed through MATLAB to sort bolts and nuts. Develop the image processing algorithm using stationary wavelet transform to get the normalized cropping images which would be suitable inputs processing and detection. Testing is done using a real-time visual recognition system. The MATLAB software version 7.8 2009 is used to integrate all algorithms. The implementation also consists of a prototype that emulates the sorting of nuts and bolts. It also activates the motor differently to sort the different parts. The result shows that the system can detect moving object accurately on the belt conveyor and sort them accordingly as required for the application of Computer vision based automated approach is useful in automobile industry.
Keywords— Computer Vision, Recognition, Nuts and Bolts.
Abstract: Electronics components in many application required maximum level of fault tolerance and high reliability. Application like avionic, railway, deep space mission can serve as an example of these applications. In these applications, electronics components are exhibited to the environment conditions, from among them especially cosmic radiation can have an undesired and destructive effect. In this paper, the design and implementation of DMR based CAN bus control system implemented into FPGA is described. The bus control system uses CAN Aerospace application protocol .the fault tolerant features of the developed system are improved by DMR architecture. Then, experiments With SEU injection into the FPGA configuration memory with both non-DMR and DMR architectures are described, the results presented and evaluated.
Keywords— CAN, FPGA, Fault tolerance, TMR, VHDL.
Abstract: Multiple-Input Multiple-Output (MIMO-STBC) systems play a very important role in fourth generation (4G) wireless systems by exploiting spatial diversity, higher data rate, greater coverage and improved link robustness without increasing total transmission power or bandwidth. MIMO wireless communication systems and hence need to be estimated accurately for efficient data detection at receiver. Consequently accurate and robust estimation of wireless channel is of crucial importance for coherent demodulation in MIMO system. This review work aims to explore and design novel matrix decomposition based semi-blind channel estimation techniques with data detection for reduced complexity and near optimal performance. Performance evaluations in terms of BER analysis of proposed semi-blind channel estimation techniques compared with above mentioned conventional techniques have been taken to verify the utility of the this work.
Keywords— QAM Modulation; MIMO system and STBC codes