Modern Intelligent Technologies Research Articles

An integrated intelligent system for managing the efficiency of the production processes

Most agricultural enterprises in the Rostov region of the Russian Federation operate the mechanization equipment that differs significantly in terms of the duration of operation and operating time. Significant differentiation of the agricultural machines in terms of service life, operating time and, as a result, reliability leads to the fact that the efficiency of the functioning of the machines is potentially not the same. With non-optimal planning of the production processes in the crop production, certain losses are possible which are associated with delaying the time of work due to the low reliability of the machines, or, on the contrary, a decrease in the efficiency of using mechanization tools with high reliability rates. The consequences of the unsuccessful management decisions are most acutely manifested in the implementation of the harvesting processes, therefore, the aspects of managing the efficiency of the grain crops harvesting processes are considered in the work. The main means of the mechanization during grain harvesting is the combine harvester. Attention is focused on the use of the modern intelligent technologies for managing the production processes in the crop cultivation under the conditions of uncertainty in the environment.

Open Pit Mining Process Optimization Decision System Based on Artificial Intelligence Technology

The traditional open-pit mining method has some defects, such as insufficient utilization of resources, high dilution rate, low production, high cost and unsafe. In order to solve this problem, it is more and more popular to combine modern intelligent technology with traditional mining scheme, but the scheme is still not perfect. Therefore, this paper puts forward an optimization method based on artificial intelligence technology for open-pit mining technology decision-making system. Through the optimization operation of this paper, the traditional open-pit mining technology decision-making system greatly improves the decision-making efficiency and comprehensive performance. In the study of this paper, through the re analysis of the requirements of the open-pit mining technology for the decision-making system, the optimization feasibility scheme is established according to these requirements. The scheme covers the optimization calculation method, simplified calculation steps and so on. In the experimental test, the average broadband performance of the system in this paper reaches more than 10m / s, the average CPU load is less than 70%, and the GIS map response time is less than 3 seconds. The results show that the system in this paper has a higher comprehensive performance, compared with the traditional decision-making system; the performance has been greatly improved. Through the analysis, the research in this paper has achieved ideal results and made a contribution to the field of open-pit mining technology decision-making system.

Technological solutions for intelligent data processing in the food industry

The article is devoted to the possibilities of application of artificial neural networks (ANN), which are a mathematical model, as well as its software or hardware implementation, built on the principle of organization and functioning of nerve cell networks of a living organism. Convolutional neural networks are arranged like the visual cortex of the brain and have achieved great success in image recognition, they are able to concentrate on a small area and highlight important features in it. The widespread use of ANN in medicine for the evaluation of radiographs, blood pressure and body mass index of patients on the analysis of their retina is noted. The use of ANN in the food industry for input quality control of raw materials is promising. In the world practice, various methods of remote control of raw materials are used, for this purpose ultrasonic scanning devices are mainly used. Such devices and analysis systems control raw materials by the ratio of meat tissues (muscle, connective, fat) in the carcass or half-carcass, without affecting the tissue structure, do not lead the quality at the cellular (microstructural) level. It is established that the structure of muscle (diameter of muscle fibers, the safety of the cellular elements, the porosity of the tissue, integrity of muscle fibers) reflects the quality of the raw material, its thermal state. Our work has begun on the creation of an expert system for quality control of meat raw materials at the microstructural level using modern intelligent technologies as ANN and computer vision. This direction is relevant and socially significant in the development of the meat industry, as it will significantly speed up the process of analysis of the quality of raw meat in the research laboratories of meat processing enterprises and testing centers and improve the objectivity of the results.

Simulation-based medical education and its implementation in neonatal asphyxia resuscitation training

Simulation-based medical education is a new teaching method using modern intelligent sci-ence and technology to carry out clinical practice training. This article analyzes the current situation of simulation teaching training in neonatal asphyxia resuscitation and discusses its advantages, namely highly simulated and repetitive teaching scene, safe and reliable teaching process, potentially incentive teaching environment, flexible teaching content and cooperation of the teaching team. Key words: Simulation-based education; Operation training; Neonatal resuscitation

СУЧАСНІ ПРОБЛЕМИ БЕЗПЕКИ КІБЕРНЕТИЧНОГО ПРОСТОРУ

The article deals with the problems of information security in modern cyberspace. The problems arising from the use of an open Internet environment by hackers are analyzed, taking into account the introduction of such modern intelligent technologies as “embedded systems”, “smart cities”, “big data”, expert systems and decision-making support systems, as well as intelligent infrastructure management systems. The evolution of the international regulatory framework defining information security principles is considered. Prerequisites for the emergence and implementation of information concepts such as cyberspace and cybersecurity, as well as related concepts, have been analyzed and described in terms of information security. An analysis of the structure of the ISO / IEC 27032: 2012 standard is given, in which the formal definition of the new terminology is presented and the main subjects of information relations responsible for security are identified. Based on the analysis, it was shown that the reasons for the complexity of creating modern information protection systems are the increasing complexity of software and hardware of modern telecommunications systems and a significant expansion of the range of information services provided to users in the Internet environment. It is noted that the emergence of intelligent automation technology requires finding a new set of protection functions and means to ensure its security. The problems in the existing national regulatory framework governing the issues of information security are identified, and the conclusion is drawn on the need to improve it. It justifies the need to search for a new, more advanced protection model and methodology for assessing threats and information security, as well as tools for building protection systems that are adequate to modern threats.

Intelligent technologies applied to increase the energy efficiency of electrified direct-current rolling stock

The energy strategy for the development of railroad transport provides for creating multiple-unit rolling stock with smooth speed control which allows saving energy at a level of up to 10%. According to analysis of the state of the locomotive fleet, the current multiple-unit rolling stock is characterized by high energy capacity. In addition to capital expenses on rolling-stock purchases and running maintenance, a large amount of money is spent on electricity, which the Energy Strategy of the Russian Railways to 2020 aims to reduce. The operation of outmoded powerplants (ac resistor-start traction motors) is the main cause of the increased amounts of electricity used in hauling operations. Rolling-stock energy efficiency can be improved only with the help of an integrated traction drive control system based on modern intelligent technologies.

Smart city planning under the climate change condition

With the aggravation of climate change, extreme weather events occur continuously, cities are not resilient to climate change, and we need to change the concept of urban planning, centering on climate research and its research achievements, combining with the modern intelligent technology and formulating a smart city that resilience to the climate change, realizing the sustainable development of human, city, environment and society.

SYNTHESIS OF INTELLECTUAL SUBSYSTEMS OF DYNAMIC DIAGNOSIS OF THE CONDITION OF TURBINE UNITS THERMAL POWER

Technique of creating a sub-line diagnostics status turbine unit thermal power plant based on an analysis of its diagnostic features. Rapid assessment of the technical state of turbine unit allows an early stage to detect the possibility of an emergency and to localize it. It involves the integration of the subsystems of the existing process control system (PCS), which will allow more efficient use of its information, hardware and software. Evaluation of the technical condition of the turbine unit thermal power plant is proposed to determine the use of modern intelligent technologies. The proposed method was used in the development of rapid diagnostic subsystems technical state of turbine of thermal power in Almaty.

Intelligent and Hybrid Systems of Process Control: Theory, Methods, Applications

This paper proposes a method of creating automated systems of optimal process control, based on using modern intelligent technologies. As shown by long-term experience, the traditional methods of mathematical modelling do not allow for the creation of effective system of optimal control due to their low adequacy. Instead of creation of mathematical models of process technologies, it is proposed to create intelligent models (algorithms) of control over process technologies, based on experience, knowledge and intuition of process control operators. Meanwhile, instead of generally accepted production rules, it is proposed to form a planning matrix of full factorial experiment (FFE). The planning matrixes of FFE are formed by execution of mental (thought) experiments, which significantly reduces the terms and simplifies the development of optimal control system. The proposed method has been tested on the basis of example on development of system on optimal control over the granulation (pelletizing) process – one of the most widely used in the metallurgical and chemical industries. Achieved algorithms showed sufficient high efficiency for practice. DOI: 10.5901/mjss.2015.v6n1s1p627

Designing, Implementation, Evolution and Execution of An Intelligent Manufacturing System

This paper shows a framework of the different techniques for the design of the planning and governing components, implementation, Evolution and execution of an intelligent manufacturing system. Architecture of a modern manufacturing industry is presented, which makes possible to create specific manufactrons system for the specific tasks, depending on the self-operated analysis of its essential characteristics. The manufactronic industry concept helps in the integration of intelligence and to increase flexibility at the maximum level of the manufacturing system as well as at the minimum level of the particular machine. This concept is implemented & demonstrated in the automobile and aeronautical industries, but can be simply applied to nearly all manufacturing industries. Implementation of manufactronic techniques in the industries helps to forecast and to fulfill the rapidly varying customer requirements, to produce high quality products in sufficient quantities with reduction in costs. The Modern Intelligence Technologies are also presented in this paper.