31 research outputs found
Qubit Data Structures for Analyzing Computing Systems
Qubit models and methods for improving the performance of software and
hardware for analyzing digital devices through increasing the dimension of the
data structures and memory are proposed. The basic concepts, terminology and
definitions necessary for the implementation of quantum computing when
analyzing virtual computers are introduced. The investigation results
concerning design and modeling computer systems in a cyberspace based on the
use of two-component structure are presented.Comment: 9 pages,4 figures, Proceeding of the Third International Conference
on Data Mining & Knowledge Management Process (CDKP 2014
A STUDY OF THE DEVELOPMENT OF DIFFERENT FORMS OF ORGANIZATION OF INNOVATIVE ACTIVITY IN THE SPHERE OF HIGH TECHNOLOGIES
The article presents the results of research of various forms of organization of innovative activity in the sphere of high technologies, revealed their features and short characteristic given. The proposed approach makes it possible to determine the place and the role of technoparks in the innovation economy
Brain-like infrastructure for embedded SoC diagnosis
This article describes high-speed multiprocessor architecture for the
concurrent analyzing information represented in analytic, graph- and table
forms of associative relations to search, recognize and make a decision in
n-dimensional vector discrete space. Vector-logical process models of actual
applications,for which the quality of solution is estimated by the proposed
integral non-arithmetical metric of the interaction between Boolean vectors,
are described.Comment: 5 page
A WSN approach to unmanned aerial surveillance of traffic anomalies: Some challenges and potential solutions
Stationary CCTV cameras are often used to help monitor car movements and detect any anomalies - e.g., accidents, cars going faster than the allowed speed, driving under the influence of alcohol, etc. The height of the cameras can limit their effectiveness and the types of image processing algorithm which can be used. With advancements in the development of inexpensive aerial flying objects and wireless devices, these two technologies can be coupled to support enhanced surveillance. The flying objects can carry multiple cameras and be sent well above the ground to capture and feed video/image information back to a ground station. In addition, because of the height the objects can achieve, they can capture videos and images which could lend themselves more suitably for the application of a variety of video and image processing algorithms to assist analysts in detecting any anomalies. In this paper, we examine some main challenges of using flying objects for surveillance purposes and propose some potential solutions to these challenges. By doing so, we attempt to provide the basis for developing a framework to build a viable system for improved surveillance based on low-cost equipment. © 2013 IEEE.t.published_or_final_versio
Vector-logic computing for faults-as-address deductive simulation
<p>The aim of the research is to create logic-free vector computing, leveraging read-write transactions in memory, to solve the problems of modeling and simulation stuck-at-fault combinations for complex logic elements and digital structures. At the same time, the problem of creating smart data structures based on logical vectors, truth tables, and deductive matrices is considered to simplify algorithms for parallel stuck-at-fault simulation. Vector computing is a computational process based on read-write transactions on bits of a binary vector of functionality, where the input data and faults are the addresses of the bits. A method for the synthesis of deductive vectors for propagating input fault lists is proposed, which has a quadratic computational complexity of read-write transactions. Deductive vectors, combined into a quadratic matrix, represent explicit data structures for parallel simulation of single and multiple stuck-at-faults. The initial information for constructing a deductive matrix is a logical vector and a bit-recoding matrix. Matrix is easily obtained using a recursive procedure based on the combinatorial properties of the truth table. Considering emerging trends, focused on in-memory computing, an algorithm for fault, as addresses, simulation is proposed, using logical and deductive vectors placed in memory. The simulation algorithm is proposed not to use commands of powerful processors.</p>