Embedded portable device for herb leaves recognition using image processing techniques and neural network algorithm

Network simulation and capabilities in the form of a logical network has increased the development of virtual networks rapidly. It is one of the best ways to increase productivity and optimize hardware equipment. Network-Virtualization plays a very important role in the development of networks as the size of the networks increases vastly. This paper examines one of the most important issues in network virtualization to provide an efficient dynamic resources infrastructure management on Software-Based Networks. The proposed method (cTMvSDN) improves resource management based on combination of Markov-Process and Time Division Multiple Access (TDMA) protocol. A customized module to the controller only initializes the mapping when there are sufficient available resources. In order to optimize the response time and SDN Quality of service, the Markov-Pattern and TDMA slicing model are used to predict the next time gaps. Successfully mapped packets will be sent in TDMA slots. Simulation results performed with NS2 and Mininet simulator showed improvement in metrics such as delay and costs in comparison with relevant studies in the literature.

cTMvSDN: improving resource management using combination of Markov-process and TDMA in software-defined networking

Two multiplierless pruned 8-point discrete cosine transform (DCT) approximation are presented. Both transforms present lower arithmetic complexity than state-of-the-art methods. The performance of such new methods was assessed in the image compression context. A JPEG-like simulation was performed, demonstrating the adequateness and competitiveness of the introduced methods. Digital VLSI implementation in CMOS technology was also considered. Both presented methods were realized in Berkeley Emulation Engine (BEE3).

Low-complexity pruned 8-point DCT approximations for image encoding

Due to its remarkable energy compaction properties, the discrete cosine transform (DCT) is employed in a multitude of compression standards, such as JPEG and H.265/HEVC. Several low-complexity integer approximations for the DCT have been proposed for both 1D and 2D signal analyses. The increasing demand for low-complexity, energy-efficient methods requires algorithms with even lower computational costs. In this paper, new 8-point DCT approximations with very low arithmetic complexity are presented. The new transforms are proposed based on pruning state-of-the-art DCT approximations. The proposed algorithms were assessed in terms of arithmetic complexity, energy retention capability, and image compression performance. In addition, a metric combining performance and computational complexity measures was proposed. Results showed good performance and extremely low computational complexity. Introduced algorithms were mapped into systolic-array digital architectures and physically realized as digital prototype circuits using FPGA technology and mapped to 45 nm CMOS technology. All hardware-related metrics showed low resource consumption of the proposed pruned approximate transforms. The best proposed transform according to the introduced metric presents a reduction in power consumption of 21---25 %.

Energy-Efficient 8-Point DCT Approximations: Theory and Hardware Architectures

Low-complexity Pruned 8-point DCT Approximations for Image Encoding

Multimedia processing demands efficient programming in order to optimize functionality. Data, image, audio, and video processing, some or all of which are present in all electronic devices today, are complex programming environments. Optimized algorithms (step-by-step directions) are difficult to create but can make all the difference when developing a new application.This book discusses the most current algorithms available that will maximize your programming keeping in mind the memory and real-time constraints of the architecture with which you are working. A wide range of algorithms is covered detailing basic and advanced multimedia implementations, along with, cryptography, compression, and data error correction. The general implementation concepts can be integrated into many architectures that you find yourself working with on a specific project. Analog Devices' BlackFin technology is used for examples throughout the book. *Discusses how to decrease algorithm development times to streamline your programming*Covers all the latest algorithms needed for contrained systems*Includes case studies on WiMAX, GPS, and portable media players

Hazarathaiah Malepati

Papers

Digital Media Processing: DSP Algorithms Using C

Digital Media Processing