Journal "Fundamental Sciences and Applications"

Analysis of the use of blockchain consensus in VANET

Georgi Dimitrov Iskrov, Nikolay Kakanakov — Thu, 25 May 2023 11:28:33 +0300

The article aims to look at existing blockchain conversion models in VANET environments. The analysis in the article aims to highlight the advantages and disadvantages of using blockchain for securing message exchange in VANET. From the parallel comparison of blockchain consensus Proof of Work and Proof of Authority, the two main approaches are outlined: The PoA has emerged as a lighter and more fast consensus, while using PoW will require the use of cloud services to export heavy consensus calculations to MeC (Mobile Edge Computing).

Generalized Net Model of an Intelligent Agent Broker

Veselka Sasheva Petrova-Dimitrova, Dilyana Budakova, Lyudmil Dakovski — Thu, 25 May 2023 00:00:00 +0300

This article examines the possibility of using the mathematical apparatus of generalized networks to model and study the behavior of an intelligent agent - broker in a virtual environment. In the proposed model the agent-broker is presented with a generalized net model. The transitions cover the broker's knowledge of the sequence of stages of buying a property. Conditions describe its knowledge of the opportunities and risks that exist at every step of this process. The tokens represent the consumers who are looking for the most suitable way for them to buy a property. They are implemented with a knowledge base for their: financial status; for the risks they consider acceptable or unacceptable; for the compromises they may or may not make; for their preferences and goals. The transition of the tokens through the generalized net model allows to observe the process of interaction between the model of the expert broker and the models of the client agents.

Classifications of intelligence agents and their applications

Veselka Sasheva Petrova-Dimitrova — Thu, 25 May 2023 11:28:54 +0300

Artificial intelligence agent technology occupies an increasingly important place in modern times and finds more and more applications. This article discusses the classification of intelligent agents, based on their level of intelligence and the abilities they have, which are: simple reflex agents, model-based reflex agents, goal-based agents, utility-based agents, and learning agents (utility goal-based learning agents; goal-based learning agents). Many modern applications of intelligent agents and their role in areas such as medicine, training, culture, robotics, and others are considered, which proves the relevance of the task of modeling and researching their behavior and the search for new algorithms and methods to accelerate the learning process and their self-education. The advantages and disadvantages of the types of intelligent agents and some approaches for their improvement are discussed.

Study of Different Adders Focused on Ultimate Execution Speed in FPGA Based Edge Detection

Dimitre Zhivkov Kromichev — Thu, 25 May 2023 11:25:36 +0300

The goal of ultimate execution speed in FPGA based edge detection which uses Gaussian filtering requires defining the values of maximum operating frequency and minimum number of clock cycles taken to secure mathematically accurate result. A critical component in achieving that goal is the simultaneous addition of convolution results calculated by the weighted average function in the process of filtering an input image pixel. The paper studies the capabilities of different addition algorithms to be used in FPGA based edge detection for simultaneous addition of convolution results in terms of guaranteeing minimum number of clock cycles for various Gaussian filter sizes at the maximum operating frequency. On that basis, analyzed is the impact of simultaneous addition of convolution results on the organization of computations in the Gaussian filtering module of FPGA based edge detection. Ten Intel (Altera) FPGA families are used in conducting the explorations.

Ultimate Execution Speed of FPGA based Edge Detection: Parallel Addition

Dimitre Zhivkov Kromichev — Thu, 25 May 2023 11:26:25 +0300

Addition is a fundamental integer arithmetic operation in digital image processing. Ultimate execution speed of FPGA based edge detection which uses Gaussian filtering has two parameters: maximum operating frequency and minimum number of clock cycles required to obtain mathematically accurate result. The computational specifics of weighed average function define adding a number of addends in parallel as critical to the concept of achieving ultimate execution speed of FPGA based edge detection. This paper is focused on exploring the capabilities of parallel addition to contribute to the goal of securing a Gaussian filtered pixel every single clock cycle at the maximum operating frequency. Ten Intel (Altera) FPGA families are used in the explorations.

Structure and Information Provision of a System for Automated Design of Clamping Devices in Fixtures for Workpieces Locating in Machining

Hristo Canev Metev, Maria Vlahova, Kalin Krumov — Thu, 25 May 2023 11:29:20 +0300

In this article a structural schematic diagram of a system for computer aided design of clamping devices in fixtures for locating of the workpieces during machining is developed. A parametric library with solid models of clamping elements and a database for storing information necessary for the design of clamping devices have been developed. The development is part of a system for automated design of devices for locating workpieces during machining.