Volume 2 Issue 1
Authors: Vadim V. Borisov
Abstract: The review of basic intellectual technologies (fuzzy, neural network, evolutionary modelling) for analytical tasks of decision-making support is submitted. Results of comparison of these technologies are offered. Tendencies and directions of development of these technologies are generalized. The approach to systematization and classification of all variety of known hybrid models for analytical tasks of decision-making support is offered. The approach is based on use of following methods of hybridization of intellectual technologies: hybridization “with functional replacement”, hybridization “with interaction”, polymorphic hybridization. Examples of classification of known hybrid models, concerning each considered method of hybridization, are presented. Examples of hybridization of models for each method are presented: first, for a case of hybrid models in borders of one technology, secondly, for a case of hybrid models from different technologies.
Keywords: Hybridization of Intellectual Technologies; Fuzzy Model; Neural Network Model; Evolutionary Modelling; Analytical Tasks of Decision-Making Support
Data Dimmensioning Algorithms for Delay Differentiation Services in Regular Plans for Mobile Clients
Authors: John Tsiligaridis
Abstract: The broadcast problem including the plan design is considered. The data is inserted and numbered into customized size relations at a predefined order. The server’s ability to create a full, regular Broadcast Plan (RBP) with a single and multiple channels after some data transformations are performed is studied. The Basic Regular Algorithm (BRA) prepares an RBP and enables users to catch their items while avoiding wasting energy due to their devices. In the case of multiple channels a dynamic grouping solution is proposed, called the Partition Value Algorithm with Less Dimension (PVALD), under a multiplicity constraint. In order to provide an RBP under relative delays, two Dimensioning Algorithms (DA) are developed. The DA1, with the criterion of ratio, offers the desired differentiation of service using the available number of channels. The Extended DA (EXDA) discovers the attainable differentiation of services using the minimum number of channels. This last property, in addition to self-monitoring, and self-organizing, can be offered by servers today providing channel availability and lower energy consumption by using a smaller number of channels of equal bandwidth. Conditions for having the same delay ratio for RBPs and the unification of RBPs are also examined. Simulation results are provided.
Keywords: Broadcasting; Broadcast Plan; Mobile Computing
Authors: Max Schneider; Dietmar Fey; Dominik Schoenwetter
Abstract: Over the last decades, parallel computing has gained more and more attention not only in science, but also in scientific research and industry. The reason for this purpose is that common industrial applications become increasingly performance-demanding. Conventional single-core designs cannot meet the performance requirements any longer because raising the clock frequency is not an option due to reaching technological limitations. As a consequence, the efficient use of (embedded) multi-core CPUs and many-core platforms has become inevitable. 3D surface analysis of objects using white light interferometry presents one of such challenging applications. The goal of this article is to get an impression which absolute run times and which speed-up for an established and parallelized white light interferometry preprocessing algorithm, called Contrast Method, which is possible on an embedded system that works without any operating system. Currently, multi- and many-core systems are still not pervasive architectures in the embedded domain, even if state-of-the-art technologies allow such systems. In order to gain more insights into possible benefits, we decided to use a virtual environment that is able to simulate embedded multi-core as well as many-core systems and that enables running real application code on the designed system. The results show that a significant reduction of the execution times, and thus a significant speed-up, is possible when using a many-core platform, instead of a design that only implements one single core. The algorithm was parallelized for getting maximum performance of the many-core design.
Keywords: White Light Interferometry; Embedded Hardware; Simulation; Preprocessing Algorithm; Contrast Method