Мультиагентная система управления звуковой информацией

The multi-agent system for monitoring sound information (MAMS) in the environment is a set of agents for sound detection, analyzing, classification and transformation. The objective of this article is to propose a methodology from the detection of sound (specific agents) to the classification and decision making. In order to do the classification an agent must be implemented and regarding the situation it will generate a corresponding scenario. This agent will have as input, the sound, classification method, and the environment characteristics. Based on the information about environment the same sound can have different interpretation. MAMS implements the functions to ensure the required class of protection of people (working or living) and allows implementing an environmental safety system

Internet of things model and structure for sound information control

The structure of multi-agent system for Collection & Processing Sound Information (CPSI) is composed of several different components that works together to collect sounds from the environment to get a required output. IoT structure for CPSI is prpposed

Business-processes models for supporting marketing specialist in internet

Проанализированы приложения, облегчающие работу интернет-маркетолога. Описаны четыре варианта представления моделей бизнес-процессов. Представлены модели бизнес-процессов интернет-маркетолога, предложено их интегрировать через веб-сервисы. Приведены примеры моделей в интернет-маркетинге. The applications for supporting of Internet marketing specialists’ activity are analyzed. Four variants of business-processes models are described. Models of business-processes for Internet marketing specialists are represented, it is proposed to realize its integration through Web-services technology. Such examples of models for Internet marketing specialists are shown

Подход к разработке распределенной мультиагентной системы обработки звуковой информации окружающей среды

The processes of measurement, recording and analysis of different sound levels are considered. The amplitude and effect of sound waves vary considerably in continuous space-time measurements. Modeling different types of sounds and their spatiotemporal effects becomes important for assessing the sound situation both in working spaces and in recreation areas. Developing a model that reflects the characteristics of sounds, their sources, and the rules that govern their distribution in different environments would help track sound variations and predict their future changes for spatiotemporal states. Similar works abroad are given, but they are of a private nature. There are many features that you can use to describe audio signals. We consider a wide range of objects to evaluate the effect of each object and select the appropriate set of objects to distinguish between classes. Two estimations of a sound situation are given: on the basis of short-term energy and average speed of change. Three different classification methods are investigated: KNearest neighbors, Gaussian mixture model and Support vector machine. Multi-agent system (M)AS characteristics are given, the classification, trends in the use of multi-agent intelligent technologies for information processing are presented. Authors propose the use of MAS for sound information (MASSI) monitoring. MFSSI structure includes many agents of sound transformation, analysis of information received from them and decision-making. MASSI can handle noise levels in the urban space and to help in the study of noise pollution in many areas

Internet of things model and structure for milk quality control

Authers use a multi-agent approach to represent the network model for monitoring milk quality. In this multi-agent structure, it will identify a set of agents for milk quality sensors, converter agents, storage agents for quality indicators and monitoring agents for these indicators

Analysis and applications of information security in corporate information system, cloud computing and blockchain

The analysis of information security (IS) threats in the corporate information system (CIS), cloud computing environmentis executed. Separate approaches to the information protection in CIS, cloud environment, blockchain technology are considered. Separate applications for IS in CIS and cloud environments are presented. The blockchain application for use in education is considered

Подготовка специалистов в области сетей интернета вещей

The analysis of the state and prospects of development of Internet of things (IoT) networks is presented. The structure of IoT are considered. The protocols of interaction in IoT are given. Platforms for building of various IoT are presented. Prospects for the development of IoT automation design are given. Educational disciplines for specialization to improve the training of specialists in the field of IoT construction are presented. Дан краткий анализ состояния и перспектив развития сетей интернета вещей (СИВ). Представлены платформы для построения различных СИВ. Даны направления развития автоматизации проектирования СИВ. Представлены учебные дисциплины специализации для совершенствования подготовки специалистов в области построения СИВ