Technical Management System Research Articles

Обеспечение канцерогенной безопасности копченой рыбной продукции

The purpose of the study is to develop recommendations for rational smoke generation parameters that ensure the quality and environmental safety of smoked fish products. Objectives: to establish the influence of smoke generation parameters on the assessment of the carcinogenicity of smoked products; to evaluate the quality and safety of smoked products produced under optimal smoke generation parameters; to develop recommendations to ensure the quality and safety of smoked fish products. Research was carried out at the department of Management of Technical Systems at the Federal State Budgetary Educational Institution of Higher Education Dalrybvtuz (Vladivostok, Primorsky Region). The object of the study is the process of smoke generation. Analytical, physical and chemical methods, and mathematical modeling methods were used. To prepare smoke-drying smoke samples, 10 kg of alder sawdust with a moisture content of 30–35 % was prepared. Hot smoked smelt samples were obtained under optimal smoke generation conditions. The overall organoleptic index was 5. The content of individual polyaromatic hydrocarbons was: chrysene – 71 ng/kg; benz(a)anthracene – 70 ng/kg; benz(b)fluoranthene – 602 ng/kg; benz(a)pyrene – 64 ng/kg; benz(e)pyrene – 667 ng/kg; dibenz(a,c)anthracene – 57 ng/kg; dibenz(a,h)anthracene – 69 ng/kg, which corresponds to a generalized quality index of 0.99 (very good). During the study, the influence of smoke generation parameters on the assessment of the carcinogenicity of smoked fish products was established, and the dependence of the content of individual polyaromatic hydrocarbons on the excess air coefficient in the smoke generation zone was confirmed. Optimal smoke generation modes: smoke generation temperature 475 °C, excess air coefficient – 0.4. Rational smoke generation parameters: smoke generation temperature 450–500 °C, excess air coefficient – 0.3–0.6.

Study on the technical management practice of rock burst prevention and control - Case study of Yankuang Energy Group Company Limited

To ensure the on-site implementation of regulations and technical measures for rock burst prevention and control, taking Yankuang Energy Group Company Limited. as an example, an on-site technical management system for preventing and controlling rock burst in coal mines is established. This on-site technical management system is based on the principles of “zero rock burst accident”, “graded management and control”, “general manager and chief engineer responsibility”, and “scientific, systematic, streamlined, and efficient management”. This system includes a technical management system and an on-site management mode, among which the former includes an organizational system, an institutional system, a technical data management system, and a comprehensive supervision and management system. Each system is interrelated, mutually promoting and supporting the other system. The on-site management mode includes five aspects and six links. These “five aspects” refer to the standardization of safe production, normalization of on-site operations, processization of system operation, quantification of antirisk ability, and demonstration of mine management. The “six links” on-site management mode includes the management system, source risk management and control, dynamic risk analysis, monitoring and control, on-site implementation and management, and emergency management. The construction of an on-site technical management system for rock burst prevention and control can ensure the timely detection and rectification of problems, remove management loopholes, and prevent the occurrence of rock burst disasters.

Credit Risk Management of Commercial Banks in China

The banking sector has experienced significant growth since the reform and opening up and has also become aware of the transition from a single national banking system to the commercial banking system required by the market economy. However, the ability of China's commercial banks to develop further has been constrained by both internal and external forces. Due to the high non-performing assets and inadequate risk management in China's commercial banking sector, at the same time. It also hinders the development of the financial industry to some extent. Analyze the performance and factors that contribute to credit risk for China's commercial banks, as well as the current state of affairs and issues with credit risk management, in order to try and find a solution to the issue from the viewpoints of the financial system and credit management techniques. The main method used is to use theoretical analysis to discuss the problem of credit risk management, integrate theory with practice, and hope to provide reference for the improvement of bank credit risk management by systematically making in-depth and simple research on the credit risk situation of China's commercial banks.

The creation of the psychological equipment in Ukraine and Armenia by Yevhen Mileryan

The article reveals the content and significance of multifaceted psychological research of Yevhen Oleksandrovych Mileryan (1913-1983) – the creator of measuring, training, cognitive, experimental, control psychological equipment, numerous methods of psychological selection of pilots, operators, drivers, the use of which allowed to prevent accidents. caused by people involved in the management of technical systems of different levels of complexity. The main milestones of the life of the Ukrainian and Armenian scientist, who suffered the trials of the Second World War, the variability of periods of creative self-realization and repression, work in Ukraine and Armenia are presented. This, in particular, the establishment of experimental workshops for the manufacture of psychological devices at the Research Research Institute of Psychology of the Ministry of Education of the USSR and the creation of the first “Device for demonstrating optical sensations and perception of psychology”, which allowed to demonstrate patterns of color mixing, contrast the phenomenon of marginal contrast and saturation, later – an electron-beam device for observing the dynamic picture of the spatial distribution of electric potentials, on the basis of which changes in the activity of the cerebral cortex under the influence of various sound stimuli in the presence or absence of attention were established. electroconvulsive attack. Documentary testimonies and recollections of eyewitnesses about harassment and repressions against E.O. Mileryan, connected with the persecution of all Ukrainians in Ukraine in the early 70s of the XX century, are given. The period of the scientist’s work in Armenia is revealed, which includes continuation of psychophysiological experiments on studying attention in children, elucidation of functional changes of electrical activity of human brain under the influence of various factors, substantiation of psychological theory of general polytechnic skills formation. vocational education. The scientist created instrumental and psychological methods for diagnosing individual psychophysiological features of a person, diagnostic installations and simulators to study the professional suitability of operators, pilots, drivers. Developed the concept of engineering and psychological examination to assess the quality and reliability of the system “man-machine”, psychological devices: apparatus for the study of higher nervous activity, attentiometer, electroencephalometer, emokoordininometer, device KM-3 to measure the speed of response to complex signals, perceptometer, volute study of volitional efforts, thinking hysteroscope, complication apparatus, device for studying the professional suitability of drivers of vehicles, educational and problematic electrical engineering simulators. It is noted that the unique contribution of E.O.Mileryan to the development of psychological science is the hardware-psychological direction of combining scientific accuracy of measurements with creative solution of various psychological problems that posed to the military and postwar generations of the twentieth century.

Water Demand Prediction using KNN Algorthim

Abstract: Many factors influence irrigation water requirement in an agriculture field. those factors are age of plant, type of soil, temperature, level of sunlight, water needed. Many factors influence irrigation water requirement in an agriculture field. those factors are age of plant, type of soil, temperature, level of sunlight, water needed. Despite the multiple solution proposed, still the quantity of water overflood and underfloor in the agriculture felid. The artificial influence on irrigation requirement should be thought of an important impact factor, considering the requirement of water, the technology can help in preserving large quantity of water in agriculture felid. development of complex and elaborate forecasting methods such as artificial neural network (ANN)can be costly to develop and implement with the limited recourses available The balance between water supply and demand requires efficient water supply system management techniques. This Despite the multiple solution proposed, still the quantity of water overflood and underfloor in the agriculture felid. The artificial influence on irrigation requirement should be thought of an important impact factor, considering the requirement of water, the technology can help in preserving large quantity of water in agriculture felid. development of complex and elaborate forecasting methods such as artificial neural network (ANN)canbe costly to develop and implement with the limited recourses available

Community-owned rural water supplies in Galicia (Spain): supporting role in the groundwater self-management

The community-owned rural water supplies in the rural areas of Galicia developed spontaneously in response to the historical shortcomings of local administrations, which are a clear example of commons management strategies. They have developed a water self-management model integrated into a complex network of actors. More than one-quarter of the total population rely on these systems. However, a large part of supplied water does not comply with the sanitary standards due to deficiencies in the system’s design, operation, and maintenance and the water catchment protection. Furthermore, the owners face difficulties complying with basic legal requirements due to the complexity of the regulatory framework and the lack of training of the water board members. COXAPO (‘Comunidad Xeral de Augas de Galicia’), an association of 150 community-owned water supplies, advises, trains, and supports the water boards for the legal, administrative, economic, and technical systems management. As a result, it gets the systems legally compliant concerning the institutional management and quality of supplied water. The success of this network governance recommends a role to the administration in promoting the networking of water boards by supporting the existing water supply associations and encouraging their constitution or provisioning equivalent services in regions where they do not exist.

Management system and development strategy of quality Chinese medicine

The development of quality Chinese medicine is an important way to improve the quality of Chinese medicine, and ensure the safety and effectiveness of Chinese medicine. This article systematically elaborates the definition, classification, standard and mana-gement certification strategy of quality Chinese medicine. We present the quality Chinese medicine which is higher quality than that of eligible Chinese medicine based on quality control standards. Quality Chinese medicine is strictly in accordance with management procedures, likely GAP and GMP et al, during the productive process, which quality indicators is higher than that of the current relevant national quality standards, such as Chinese Pharmacopoeia(ChP) et al; its limited indicators such as exogenous pollutants and endogenous toxic substances are lower than that of the current relevant national quality standards, likely ChP et al; meanwhile these Chinese herbal medicine, medicinal pieces, patent medicines, and health products and foods with Chinese medicine raw materials are been certificated by quality Chinese medicine. At the same time, this article systematically expounds the five major management systems of quality Chinese medicine, including technical training management for practitioners, productive process management, standard mana-gement, quality inspection and certification management, and product traceability management. And we put forward strategies to improve the supervision and management system, and promote the standardization and development of quality Chinese medicine by improving the technical management system of quality Chinese medicine, strengthening the quality management system and six sigma(6σ) management in the company. These strategies will provide a reliable basis and effective way to improve the quality of Chinese medicine.

Estimation of Time-Dependent Delay Models at Actuated Traffic Signals in Duhok City

Duhok City, developed rapidly in recent years, leading to an increase in the traffic volume on its streets which are not sufficient for this increase resulting in traffic congestion. Therefore, this paper studied the delay as an important measure of effectiveness at traffic signals. The delay was measured and predicted (for saturated and under saturated conditions) to help in solving some underestimation problems by using the transportation system management (TSM) techniques. Five signalized intersections on Barzani major street in Duhok city was chosen. Vehicle delay was measured in these intersections directly from field, then it was calculated using the time-dependent equations recommended by three different official manuals, Highway Capacity Manual (HCM2000), Canadian Capacity Guide (ITE1995) and Australian Capacity Guide (ARRB1995). After that comparisons between the results of each theoretical method and the field result was made. Finally, the regression analysis technique was used to establish different relationships between the delay data obtained from the field and each of the theoretical methods to find the best applicable model to predict the vehicle delay at signalized intersections in Duhok City. It was proved that the logarithmic relationship between field and theoretical results obtained from the Canadian Capacity Guide is the best

Information technologies in the management of technical systems - development of the engineering education

The current level of production development requires the training of qualified specialists capable of solving complex scientific and technical problems in the field of technical systems management using rapidly changing information technologies. Consequently, the training of professional personnel should provide for the needs of developers of advanced control systems for complex dynamic objects. This problem is successfully solved at the Department of Automation and Control Processes (ACP department) in ETU “LETI”. Students training is carried out in two complementary directions “Management in technical systems” and “Information systems and technologies”. Long-term experience proves the advisability of choosing such an approach in the context of rapidly developing technologies. The report contains studies based on the application of data analysis methods and models that dynamically integrate the information necessary for adaptive management of the process of advanced specialists training. The dataset includes: actual employers’ data, production needs, on the one hand, data obtained during the educational process, on the other hand. At the same time, the data set includes data that enable students to assess the effectiveness of the educational services provision, the level of professional training in the areas of specialty. Comprehensive analysis of data integrated in a unified environment, based on the methods of intelligent systems, analytics and knowledge engineering, proves the validity of choosing this approach in the learning process.

Typology of Dairy Production Systems Based on Management Strategies in Paraná State, Brazil

This study aimed to analyze the typology of dairy production systems in Paraná State using management characteristics related to nutrition, milking, and technical aspects. We applied, in loco, 105 surveys in dairy production systems - DPS, located in Paraná State, Brazil. Variables related to farm structure, farmer social characteristics, and management practices applied in dairy systems, were collected. Exploratory Factor analysis (EFA) was used and resulted in three management factors, i.e., F1 (Nutrition Management), F2 (Technical Management), and F3 (Milking Management). Using factorial scores, cluster analysis was employed to identify homogeneous groups of dairy production systems. The dairy production systems in G2 (N=84 DPS) was characterized by prioritizing nutritional management (F1), which was the opposite result presented by G1 (N=21 DPS). The structural features and social characteristics of G1 and G2 were compared (T-test). The results indicated a great heterogeneity for the structural and productive characteristics of the analyzed dairy systems and socioeconomic characteristics of their managers. Results also indicate that producers with less structure and scale of production (Group 1), need more technical guidance in production system management. For producers with larger structures and scales of production (Group 2), continuous improvement investments are suggested in the three factors analyzed in this work - nutritional, technical, and milking. Such actions may maintain or increase the production and productivity results in these dairy systems. It is concluded that aspects related to nutritional management are the ones that mark the biggest difference between the cases analyzed, followed respectively by factors of technical management and milking management. Typology of dairy systems that adopt greater attention to nutritional management practices is characterized by a greater production structure and greater productivity when compared to a typology of dairy systems that prioritize actions of technical system management and milking management.

Reducing the Level of Cognitive Distortions when Assessing the Vulnerability of Complex Technical Systems Based on Criterial Modeling Methods

Cognitive distortions are systematic errors made by people who participate in managing a complex technical system. From 60 to 90% of disasters occur due to cognitive distortions in the complex technical system management. The purpose of this work is to develop a mathematical apparatus for estimating cognitive distortions when assessing the complex technical system vulnerability by using the criterial modeling methods. In this study, cognitive distortions are interpreted as various kinds of systematic errors, as well as traditional distortions that occur in certain situations and that are based on the misrepresentations about the vulnerability of complex technical system and on the need to make decisions about their parrying. Complex technical systems have allocated parts (managed subsystems), participation in the system of people, machines and the natural environment, material, energy and information links between parts of systems, as well as the links between the system under consideration and other systems, etc. The object of this study is to find cognitive distortions that have an impact on estimating complex technical system vulnerabilities. The subjects of this study are criterial modeling methods that make it possible to estimate cognitive distortions when assessing vulnerability at all the levels of complex technical system management and thereby reduce the risks of accidents and disasters. Examples of criterial modeling methods implementation for cognitive distortions estimation in the vulnerability of the banking and transport systems are given.

Sustainability Aspects of Precision Agriculture for Row Crops in Florida and the Southeast United States

Precision agriculture or site-specific management is a knowledge-based technical management system, where sensing, information technologies, and mechanical systems enable sub-field crop management that can help optimize farm profits and minimize agriculture's impact on the environment. This technology has been developed over several decades through private sector and university research efforts, with new technologies and applications available every year. Information about a field can be obtained and continuously updated to refine management strategies or solve production issues through the season. Stated another way, it is the determination of optimal inputs needed for profitable production. This article discusses precision agriculture, recent developments in technology and factors to consider when adopting these technologies, particularly as they relate to row crop production in Florida.
 Original publication date October 2002. Revised July 2006, October 2013, December 2016. September 2020 revision by Ian Small

Digital twins of complex technical systems for management of built environment

The development of digital technologies captures a significant part of the economy and production, as well as business and management processes. Asset owners are given the opportunity to become additionally owners of digital assets, while the need for conceptual approaches and digital asset management is growing. With the increasing application of Building Information Modelling (BIM) for asset management within architecture, engineering, construction and owner-operated (AECO) sector, BIM-enabled asset management has been increasingly attracting more attentions in both research and practice. The problem associated with the development and production of facilities is related to the discrepancy between as-built as-designed and as-is facilities or complex technical systems. During the stages of design, construction, operation and maintenance (O&M), the actually manufactured (i.e. as-built) complex technical object (or production infrastructure) differs, sometimes significantly, from the designed (as-designed), and at the same time inconsistency between the created production and production infrastructure within which it should operate grows. Solving the problem of discrepancy between the actually created and designed facility or the complex technical system, in the absence of digital technologies, requires considerable time for the so-called “trial operation”, during which the discrepancies are eliminated and a mechanism for managing production and production infrastructure in real conditions is developed. With the development of the digital economy, the need for digitalization of asset management is growing. An analysis of existing information technologies shows that there is a possibility of reducing the cost of production and operation of an asset by concentrating the main costs at the design stage. The article discusses basic approaches to organizing the lifecycle management of technical systems, production and infrastructure in the context of global digitalization which become a useful tool for reduction of trial operation time. Further directions of research are formulated

To Adapt or Not to Adapt: A Quantification Technique for Measuring an Expected Degree of Self-Adaptation

Self-adaptation and self-organization (SASO) have been introduced to the management of technical systems as an attempt to improve robustness and administrability. In particular, both mechanisms adapt the system’s structure and behavior in response to dynamics of the environment and internal or external disturbances. By now, adaptivity has been considered to be fully desirable. This position paper argues that too much adaptation conflicts with goals such as stability and user acceptance. Consequently, a kind of situation-dependent degree of adaptation is desired, which defines the amount and severity of tolerated adaptations in certain situations. As a first step into this direction, this position paper presents a quantification approach for measuring the current adaptation behavior based on generative, probabilistic models. The behavior of this method is analyzed in terms of three application scenarios: urban traffic control, the swidden farming model, and data communication protocols. Furthermore, we define a research roadmap in terms of six challenges for an overall measurement framework for SASO systems.

The application of information technologies for color reproduction and technical system management in printing art production

The article develops the process of modeling color separation in the reproduction of graphic information in printing technology, shows the management of the technical system at each stage. With the use of information technology, this complex and multi-stage technological process of color conversion is carried out automatically, which does not allow showing the clarity of technological operations.

Models of technical systems management for the forest fire prevention

Models of technical systems management for the forest fire prevention

Method for calculation and control of parameters of the cluster pumping station with autonomous power supply and thermal water-gas impact on the reservoir

An increase in the oil recovery rate is a crucial problem for the national energy industry. This paper discusses improvement of energy production and management of technical systems through the use of exhaust gases of internal combustion engines. To implement this method, a cluster pumping station (CPS) with an autonomous power supply, thermal and water-gas impact on the formation was used. The article considers water saturation with carbon dioxide and its heating to increase oil recovery and prevent harmful combustion products from being released into the atmosphere. All the associated gases enter the heat engine turning mechanical energy into electrical one. Exhaust gases released from the heat engine are not emitted into the atmosphere. Using a smoke exhauster, they enter the mixing heat exchanger. In the mixing heat exchanger, water is heated and saturated with carbon dioxide. Then it enters the well which increases oil recovery, prevents air pollution and reduces greenhouse gas emissions.

Facilitating Crop–Livestock Reintegration in the Northern Great Plains

Integrated crop–livestock systems (ICLSs) can help increase food production while benefiting soils and the environment. This review summarizes recent impacts of ICLSs on crop and livestock production and rural economics and discusses lessons learned in the northern Great Plains (NGP). Research on ICLS conducted in the NGP indicates that the crop residue grazing, swath grazing, and annual forage grazing can positively influence crop production; whereas, livestock performance varies with season, forage nutritive value, and grazing management. Furthermore, ICLSs can reduce the costs and risks of agricultural production. The success of ICLSs in NGP region depends on trade‐offs, planning, economic benefits, policies, regulations, community acceptance, and management skills. The ICLSs could play a strategic role in future agricultural production. The lessons learned from adopting ICLSs in the NGP include the lack of available land for fertilizer (manure) management, that to implement ICLS practices skills and knowledge must be maintained, and ICLS provides an entry point for young farmers and ranchers however capital is needed. These experiences and lessons could be valuable references for producers to adopt ICLSs in the NGP or other regions.Core IdeasIntegrated crop–livestock systems positively affect crop production by improving soil health.Common integrated crop–livestock system management techniques can enhance the northern Great Plains crop production.Integrated crop–livestock system livestock performance is impacted by season, forage selection, and management.Integrated crop–livestock systems can increase economic benefits and reduce economic risks.Experiences and lessons in the northern Great Plains could be valuable for other regions to adopt integrated crop–livestock systems.

Predicting water demand: a review of the methods employed and future possibilities

AbstractThe balance between water supply and demand requires efficient water supply system management techniques. This balance is achieved through operational actions, many of which require the application of forecasting concepts and tools. In this article, recent research on urban water demand forecasting employing artificial intelligence is reviewed, aiming to present the ‘state of the art’ on the subject and provide some guidance regarding methods and models to research and professional sanitation companies. The review covers the models developed using standard statistical techniques, such as linear regression or time-series analysis, or techniques based on Soft Computing. This review shows that the studies are, mostly, focused on the management of the operating systems. There is, therefore, room for long-term forecasts. It is worth noting that there is no global model that surpasses all the methods for all cases, it being necessary to study each region separately, evaluating the strengths of each model or the combination of methods. The use of statistical applications of Machine Learning and Artificial Intelligence methodologies has grown considerably in recent years. However, there is still room for improvement with regard to water demand forecasting.

Existence of a Tunnelling Component of Electrical Drift Current through a DielectricFilm in High Frequency Knots with a Liquid and BoundaryFriction

In particular functioning of high-speed rolling bearings with use of lubricant with rather big viscosity can happen without destructions of a high-resistance lubricant film. At the same time the annex of tribovoltage to rolling bearings leads to emergence of electric current caused in particular by tunneling effect of a charge across a film. Control of technical condition of frictional units has to be exercised according to electric parameters of the lubricant film which is implemented in friction zones. Values of these parameters depend on a condition of a lubricant film, and in particular on her temperature which is caused by degree of wear of details of frictional units which function under the influence of mechanical tension. The model can be used for technical diagnostics, and also for decrease of speed of process of wear. In practice the developed model can be used for those productions, vehicles, control systems where failure of frictional pieces can lead to failure of an expensive production inventory, the emergency cessation of production of goods, accidents of means of transportation of goods and people, loss of management of technical systems and also control systems of human activity.