The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
A hardware architecture for the single iteration algorithm is proposed in this paper. Single iteration algorithm enables reconstruction of the full signal when small number of signal samples is available. The algorithm is based on the threshold calculation, and allows distinguishing between signal components and noise that appears as a consequence of missing samples. The proposed system for hardware...
The SHA-3 cryptographic hash algorithm is standardized in FIPS 202. We present a pipelined hardware architecture supporting all the four SHA-3 modes of operation and a high-performance implementation for FPGA devices that can support both multi-block and multi-message processing. Experimental results on different FPGA devices validate that the proposed design achieves significant throughput improvements...
Integrating or creating new applications (services), using existing data involves changing existing applications (services). For better usage, there is a need to export data as basic services (SOA approach). Representational State Transfer (REST) works with resources instead of operations, offering full web-scale interoperability and scalability advantages while exchanging information between applications...
An architecture for hardware realization of the Gradient algorithm for sparse signal reconstruction is proposed. Gradient algorithm is recently proposed and generally belongs to convex optimization class of algorithms. It is an iterative algorithm where missing samples are reconstructed by using a procedure of gradient-based concentration improvement. The proposed scheme assumes that sparse domain...
During the last years Wireless Sensor Network (WSN) technologies have been increasingly adopted and utilized as a prominent communication infrastructure in highly demanding application scenarios. However, in order to cope with the diverse and dynamic requirements of such cases in real deployment critical challenges must be addressed mainly stemming from the scarce resource availability characterizing...
In numerous mobile applications involving complex video, image, signal, communication or security processing, massive parallelism is mainly in the form of data-level parallelism (DLP). However, the sorts and amount of DLP parallelism in applications vary due to different computational characteristics of applications. On the contrary, most of the processors today include single-width SIMD (vector)...
Distributed Processing Systems (DPS) take sophisticated tasks as input, and process them in a distributed manner using spread resources. In this paper, we evaluate DPS implemented on low-level System-on-Chip (SoC) interconnection architectures: mesh, concentrated mesh and fat tree. We propose autonomous algorithms for nodes and routers and define efficiency metrics that are used later for evaluation...
An efficient compact implementation of the 128-bit SEED block cipher is presented in this paper. The proposed architecture achieves low level in hardware resources, so it is efficient for area constraints applications such as smart cards. The proposed implementation reaches a data throughput of 29.7 Mbps at 111 MHz clock frequency. The design was coded using VHDL language and for the hardware implementation,...
The different ways of describing the characteristics of the image. The application of autoencoder for image classification. The results of experiments showing the effectiveness of autoencoder for solving pattern classification.
Gene Regulatory Networks (GRNs) are one of the most investigated biological networks in Systems Biology because their work involves all living activities in the cell. A powerful but simple model of such GRNs are Boolean Networks (BN) that describe interactions among biological compounds in a qualitative manner. One of the most interesting outcomes about GRNs's dynamics are the so called network attractors,...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.