Main External Factors Research Articles

Impact of Non-performing Corporate Assets on Shareholder’s Equity and Return on the Application of AI and Block Chain Technologies

One of the major challenges for banks, NPAs have an adverse impact on profitability, stability, and shareholders' equity. The current study, therefore, is an attempt to explore the impact of NPAs on shareholders' equity and returns, with special emphasis on the application of AI and block chain technologies as innovative solutions to the problem. It considers takaful principles in examining Fintech Corporations characterized by high NPAs and focuses on the main external and internal factors behind NPAs high interest rates, inadequate monitoring, natural calamities, willful defaults, recession, and unhealthy competition. The study uses AI-based predictive analytics to project potential NPAs and proactive measures in enhancing asset management processes. Block chain helps to introduce transparency and security of financial transactions, providing an immutable ledger that will help in creating accurate record-keeping and auditability. Taken together, these technologies offer robust solutions for the management of NPAs, risk reduction, and financial stability. Results underline the huge impact AI and block chain can have in attenuating the negative impact of NPAs on shareholder equity and returns. These technologies, therefore, stabilize and make the banking sector more effective by addressing these interrelated external and internal factors. This research thus follows the journal's focus on the implementation and management of advanced information systems to improve socio-economic environments related to the potentials AI and block chain can bring into the process of financial management.

A Study on Predicting the Deviation of Jet Trajectory Falling Point under the Influence of Random Wind.

As one of the main external factors affecting the fire extinguishing accuracy of sprinkler systems, it is necessary to analyze and study random wind. However, in practical applications, there is little research on the impact of random wind on sprinkler fire extinguishing points. To address this issue, a new random wind acquisition system was constructed in this paper, and a method for predicting jet trajectory falling points in Random Forest (RF) under the influence of random wind was proposed, and compared with the commonly used prediction model Support Vector Machine (SVM). The method in this article reduces the error in the x direction of the 50 m prediction result from 2.11 m to 1.53 m, the error in the y direction from 0.64 m to 0.6 m, and the total mean absolute error (MAE) from 31.3 to 23.5. Simultaneously, predict the falling points of jet trajectory at different distances under the influence of random wind, to demonstrate the feasibility of the proposed method in practical applications. The experimental results show that the system and method proposed in this article can effectively improve the influence of random wind on the falling points of a jet trajectory. In summary, the image acquisition system and error prediction method proposed in this article have many potential applications in fire extinguishing.

Simulation of the landing situation of an aircraft and the problems of diagnosing anti-skid devices

Safety is ensured, including the safe landing of the aircraft. A short landing run without a skid is achieved by the necessary preparation of the runway, a serviceable braking system, anti-skid automation and take-off and landing devices of the aircraft. Standard operation of anti-skid automatics should be able to cope with constant non-linearity of movement and atmospheric interference on the surface of the runway, as well as adjust the wheel slip coefficient to ensure reliable operation of the braking system. The need to develop technical solutions in the field of expanding the operational capabilities of diagnostic tools for anti-youth automation of the aircraft braking system is determined by regular aviation incidents, related to failures of anti-skid devices, including their incorrect setting before installation on the aircraft landing gear wheel, which leads to serious consequences – increased wear of the wheel tire surface and its possible destruction, including an emergency landing due to loss of control over the aircraft. The purpose of the work is to simulate the youth situation of the aircraft during landing, to study the problem, to increase the efficiency, reliability of the results of diagnosing devices and automata of the aircraft braking system. This article discusses the main external and operational factors affecting the dynamics and nature of the aircraft's run along the runway, the model of aircraft movement with the influence of aerodynamic forces on it, the model of tire friction on the ground, and also proposes a method for diagnosing anti-youth automation of the aircraft braking system.

The history of the formation and development of teaching methods in biological education of schoolchildren (before the XX century)

In pedagogical activity, an important role in the formation of professional qualities of a school teacher is played by the development of teaching methods for a particular subject. Realizing this importance, we use the experience of other teachers, methodologists, and scientists. Studying and analyzing their works, we turn to the history of the formation and development of teaching methods. This article focuses on conducting a historical review of the development of teaching methods in the biological education of schoolchildren. On the basis of a historical retrospective, the main works of prominent biological educators are presented, their contribution to the development of methods of teaching natural science and biology is described. The main external and internal factors that influenced the educational process are presented. In particular, the attitude of the state authorities to natural science education. The article considers the main variants of the periodization of the history of the formation and development of the methodology of teaching biology and biological education in the national school; the characteristics of individual periods and teaching methods prevailing at the moment are given; Indications are made on the use of certain methods of teaching biology in modern education. Based on the stated research topic, information is provided reflecting the development of biology teaching methods only up to the 20th century.

Forecasting carbon price using signal processing technology and extreme gradient boosting optimized by the whale optimization algorithm

AbstractPredicting carbon prices is crucial for the growth of China's carbon trading industry. This paper proposes a residual correction model that considers multiple influencing factors. First, the best historical data and main external factors input by the model are determined by using the partial autocorrelation function and Spearman correlation analysis, and the carbon price forecasting index system is constructed. Second, the whale optimization algorithm (WOA) is utilized to determine the optimal parameters of the extreme gradient boosting (XGBoost), and the WOA‐XGBoost model is built to perform preliminary carbon price forecasts and obtain the residual series. Finally, the carbon price residual series undergoes decomposition into multiple components utilizing the complete ensemble empirical mode decomposition for subsequent forecasting and the aggregation of outcomes. Experiments are conducted to predict two carbon trading markets in Hubei and Guangzhou, and a feature importance analysis is performed. The results indicate that the proposed hybrid model consistently outperforms the comparative models in terms of prediction accuracy. Furthermore, it is revealed that historical carbon prices and European Union carbon prices are the key factors influencing the prediction of carbon market prices.

Сотрудничество Китая и Республики Корея в экологической сфере и его влияние на регион Восточной Азии

In this article, the authors consider the issues of cooperation between China and the Republic of Kazakhstan in the field of Ecology. Recently, severe air pollution in China is becoming a serious environmental problem in East Asia. Air pollutants from China are becoming the main external factor in the deterioration of air quality in the Republic of Korea. Fine dust is transported over long distances, and under conditions of high concentration in the air, it looks like fog. Over the past few years, the Korean government and the PRC government have actively promoted policies to reduce "fine dust" and improve the air in the region. The solution of air pollution problems between South Korea and China involves the consideration of the issue of reducing air emissions by the PRC, expanding cooperation between the two states in the field of Environmental Policy. The study of environmental cooperation between the PRC and the Republic of Korea, the analysis of current issues in the field of Ecology on the basis of fine dust and the results of bilateral cooperation will determine the outcome of the environmental problem in the region. The main approach and method of studying this topic of research is"case studies", empirical methods of content analysis and information collection. In the article, the authors tried to use the most relevant data to help future readers conduct research. In conclusion, the authors conclude that the need to create conditions for the unhindered promotion of cooperation in the field of the air environment and the development of environmental cooperation between Korea and China is the priority task of the two states.

CONCEPTUAL PRINCIPLES OF THE ORGANIZATION OF TRANSPORT SERVICES IN MODERN CONDITIONS

Abstract. The article is devoted to the study of the conceptual foundations of the organization of transport services in modern conditions. In order for the transport industry of Ukraine to function effectively, compete and develop in the conditions of martial law and in the post-war period, transport services should be considered as a commercial activity from the point of view of transport companies and an action that leads to a beneficial effect from the point of view of consumers. The article comprehensively examines the definitions of transport services enshrined in the legislative acts of Ukraine and the scientists' own points of view. The volumes of freight transportation and passenger transportation for 2021-2023 are analyzed. The main external factors that hold back the development of transport activities in Ukraine are described, but solving these problems can simultaneously stimulate investments in transport infrastructure, promote the development of international transport routes and increase the country's competitiveness on the world market. A group of factors is singled out, which are necessary for the development of the industry and may be reflected in restrictions or problems in the development of the transport market, but at the same time their solution or implementation can contribute to stimulating the demand for transport services and the general development of this market. Factors affecting the development of the transportation market are divided into three groups: the first group of factors determines the impact on the general economic situation of the state and the socio-political state; the second group of factors affecting the activity of cargo carriers and the third group - factors affecting passenger carriers. It was determined that the concept of synergistic transport service contributes to the creation of a comprehensive and optimized transport system, increasing the convenience, speed and efficiency of movement, reducing the cost of time and money for consumers. The results of the research can be used in the future in managing the development of transport enterprises, which will contribute to increasing their economic efficiency and competitiveness. Key words: transport service, organization, competitiveness, volume of transport, development of the transport sector, synergistic transport service.

A systematic review of resprouting in woody plants and potential implications for the management of urban plantings.

Naturalistic plantings, such as meadow-style plantings, can improve the quality of urban green spaces through aesthetic, biodiversity and low maintenance features. Species selection for, and maintenance of naturalistic plantings are key to their success. While herbaceous and grassy meadows can be mowed, naturalistic plantings with woody plants require more intense maintenance to remove biomass and promote resprouting. We aim to understand woody plant responses to diverse disturbance regimes to potentially inform the selection and management of woody species in urban plantings. We conducted a quantitative systematic literature review of 72 papers and investigated what main external (climate, disturbance regime) and internal (buds, life stage, storage reserves) factors influence the resprouting response of woody plants. We found resprouting literature is geographically widespread for woody plants, but studies are skewed towards Temperate climates in USA and Australia, with a focus on high severity and high frequency fire disturbance. Resprouting response was mostly defined as a continuous response to disturbance dependent on disturbance regime, climate and plant traits. Maintenance and management of naturalistic woody plantings, through hard pruning techniques such as coppicing, may be informed by analogous high severity and high frequency disturbance studies. However, the literature on woody plant resprouting has several knowledge gaps for lower severity and lower frequency disturbance regimes and in more arid climates. Future research should evaluate the response of naturalistic woody plantings to disturbance in specific urban contexts.

Predicting regional carbon price in China based on multi-factor HKELM by combining secondary decomposition and ensemble learning

Accurately predicting carbon price is crucial for risk avoidance in the carbon financial market. In light of the complex characteristics of the regional carbon price in China, this paper proposes a model to forecast carbon price based on the multi-factor hybrid kernel-based extreme learning machine (HKELM) by combining secondary decomposition and ensemble learning. Variational mode decomposition (VMD) is first used to decompose the carbon price into several modes, and range entropy is then used to reconstruct these modes. The multi-factor HKELM optimized by the sparrow search algorithm is used to forecast the reconstructed subsequences, where the main external factors innovatively selected by maximum information coefficient and historical time-series data on carbon prices are both considered as input variables to the forecasting model. Following this, the improved complete ensemble-based empirical mode decomposition with adaptive noise and range entropy are respectively used to decompose and reconstruct the residual term generated by VMD. Finally, the nonlinear ensemble learning method is introduced to determine the predictions of residual term and final carbon price. In the empirical analysis of Guangzhou market, the root mean square error(RMSE), mean absolute error (MAE) and mean absolute percentage error (MAPE) of the model are 0.1716, 0.1218 and 0.0026, respectively. The proposed model outperforms other comparative models in predicting accuracy. The work here extends the research on forecasting theory and methods of predicting the carbon price.

Estimating omnidirectional urban vertical wind speed with direction-dependent building morphologies

A main external factor that limits the energy assessment of high-rise buildings in urban areas is the vertical wind conditions. Conventional buildings' energy assessment tools apply a universal vertical wind profile estimation equation in all directions and only consider four typical terrain types. However, the various shape and configurations of buildings in cities can induce the unique wind speed in each direction, and the vertical wind speeds in the same terrain type can be different even in the same city. To get more realistic vertical wind conditions, this study developed an omnidirectional urban vertical wind speed estimation method with direction-dependent building morphologies. A pie-shaped segment method is applied to calculate building morphological features in approaching wind direction. Machine learning methods are developed to calculate parameters of the modified direction-dependent power law urban wind function to convert the Typical Meteorological Year (TMY) wind speed to urban vertical wind speeds. To validate the proposed method, wind tunnel data in Hong Kong are collected for a case study. The results indicate that the proposed method with morphological inputs can effectively estimate the vertical wind speed at different wind directions and heights, and deep neural networks and support vector regression have better performance.

ROZSDÁBÓL SÖR? – A VOLT DREHER SÖRGYÁR TERÜLETÉNEK MEGÚJULÁSÁT AKADÁLYOZÓ TÉNYEZŐK

The development and renewal of brownfield sites have now evolved into an inevitable task in urban planning. Indeed, these areas are considered as potential and hidden reserve areas for cities due to the different urbanisation processes and urban planning trends (urban sprawl, com- pact city approach, etc.). However, the process of revitalisation is not always a ‘smooth journey.’ One reason is that merely physical regeneration is not sufficient to reintegrate the area into the urban fabric. It is essential to identify the economic, environmental, and social processes that have an impact on the area, to pinpoint the local actors/stakeholders, and to map the characte- ristics of the neighbourhood and the internal and external factors that hinder its overall rege- neration. Therefore, a detailed and in-depth study should be conducted prior to revitalisation. In this research we examined and prepared a case study of a brownfield site in Budapest (the breweries of Kőbánya in Budapest – which used to be known as the “Hungarian Munich” in the 19th century). We identified the main external and internal factors, as well as local and district particularities and obstacles to regeneration.

System engineering research of a multirotor aircraft as a prospective technical means of exploring the atmosphere and surface of the planet Venus

Currently, the exploration of the planet Venus is a very relevant and developing direction in space science. The development of rocket and space technologies has expanded the boundaries of accessibility of spacecraft to objects in the Solar System, allow for entire interplanetary expeditions, including flights to terrestrial planets, giant planets, and the outskirts of the Solar System. Currently, a program of planetary exploration for the next decades is being formed. Studying the history of expeditions to Venus and Mars clarifies the need to develop and improve methods for studying the atmosphere of the nearest planets to Earth, in particular, Venus, using vailable technical means, making them as efficient as possible. The exploration of Venus is proposed to be carried out using a technical means– a multirotor aircraft. This object is allocated as a system, and its role in the composition of the supersystem is also defined and described. The paper identifies scenarios for the functioning of the flying apparatus are highlighted, the tasks of its subsystems are described, as well as their interaction with each other. The main external factors affecting the work of the subsystems of the multirotor aircraft are presented. A functional scheme of the system is developed, as well as the main indicators used to assess the effectiveness of achieving the target task. This work is a preliminary stage before building a mathematical model.

Study on the mechanism and rapid treatment method of leakage disease at the junction between the shaft and shield tunnel

Tunnel leakage disease will seriously affect the metro operation and threaten the safety of passengers. Therefore, this study investigates the mechanism of structural leakage disease at the junction between the shaft and shield tunnel through the operational tunnel in the Beijing area. Firstly, the characteristics and intrinsic cause of the leakage are analyzed by ground penetrating radar, endoscope detection, and total station. The field inspection indicates that the water-rich cavity caused by the rise of groundwater is the main external environmental factor inducing structural leakage. The uneven deformation of the junction between the shield segments and ring beam and the deterioration of the ring beam structure are the main reasons for the waterproof layer failure, which further lead to structural leakage. In addition, numerical simulations are carried out to study the leakage mechanism of the junction structure under the effects of structural uneven deformation and ring beam deterioration. The numerical results show that the leakage caused by uneven deformation of tunnel junction is significant. Especially, the water-rich cavity near the ring beam will aggravate structural leakage. Furthermore, the deterioration of the ring beam structure has a more significant effect on the structural leakage, and the leakage mainly occurs in the ring beam and ring beam-segment joints. This finding is basically consistent with the actual leakage situation. In addition, the rapid treatment method for plugging water-rich cavities and structural defects is proposed, and a new cement-based material with good non-dispersible underwater properties is developed. The surface observation and internal detection show that the rapid treatment method effectively controls structural leakage. This research can provide a reference for future similar leakage and disease control projects of metro subways in operation.

MORTGAGE LENDING MARKET IN EUROPE: DYNAMICS AND FEATURES

The housing market is an important part of any country's economy. The article analyses the main trends in the development of the mortgage lending market in Europe: general dynamics, development of individual segments, lending volumes, interest rates, construction volumes, resource prices, etc. The purpose of this article is to analyse current trends in the development of the housing market. Graphical and statistical analysis methods are used to visualise the trends in investment in residential construction in Europe in 2020-2022, to identify the main external and internal factors behind the market's decline, and to outline development prospects for the coming years. practical implications. Practical implications. The housing investment market is under the influence of new external destabilising factors (pandemic, military aggression), as well as the pressure of factors such as the economic crisis, widespread digitalisation, the fight against black markets, etc. The results of the analysis have identified the main factors currently affecting the European property market: the aftermath of the invasion of Ukraine, a sharp rise in energy prices, rising inflation and interest rates, a slowdown in economic activity and political uncertainty at global, regional and national level. In general, the development of the housing investment market is characterised by the following trends: high interest rates on mortgage loans; tightening of financing conditions and bank standards, reducing the availability of mortgage loans; slowdown in economic growth and rapid inflation; higher prices for energy and building materials, construction costs and, as a result, an increase in house prices; slowdown in bank lending to households buying houses. Value/originality. An urgent task of modern economic science and practice is the search for ways to attract additional financial resources, mechanisms to ease the financial burden of payments for investors, to reduce and distribute investment risks. It is these circumstances that have determined the growth of the housing investment market segment associated with such innovative forms of investment as digital lending and crowdfunding. According to forecasts, the global digital lending market will grow by up to 12% per year until 2026.

Review on Wood Deformation and Cracking during Moisture Loss.

Wood, being a natural hygroscopic material, the interaction between wood and moisture plays a crucial role in wood processing and utilization. Moisture affects the physical and mechanical properties of wood, and is also one of the main external factors that cause wood deformation and cracking. Drying shrinkage is a common phenomenon during the processing and utilization of wood induced by moisture loss. Drying stress is the main cause of wood deformation and cracking. The shrinkage differential between tangential and radial direction and moisture content gradient of wood are two reasons induced the generation of drying stresses. In this review, the existing states of moisture in wood and the interaction between water molecules and wood components were systematically summarized. The current research progress and deficiencies in three aspects including the factors resulted in deformation and cracking in wood caused by moisture loss, the correlation between wood mechanical properties and moisture, as well as the development of deformation and cracking in wood under moisture loss were discussed. This review aims to facilitate further research on the deformation and cracking of wood under moisture loss by providing valuable insights and assistance, ultimately reducing the occurrence of wood deformation and cracking. And thus, it will enhance the overall utilization of wood resources, making wood better serve human life.

Ambient temperature impact on the parameters of the electrical circuit of sensing element in cluster eddy current sensor of metal chips in the lubrication systems of gas turbine engines

The detection of the wear particles in the engines lubrication systems is one of the most effective ways to assess the state of the bearing assemblies of machines and mechanisms. The most promising existing systems for online monitoring of wear particles are based on the eddy current methods for monitored parameters conversion. The reason is that such systems have the ability not only to determine the particle size, but also to recognize its magnetic properties, which makes it possible (under certain conditions) to localize the place of the defect development. At the same time, it is known that the ambient temperature changes in the monitored zone are one of the main external factors that have a significant impact on the informative parameters of eddy current converters. This is of particular importance for debris monitoring systems in high-power plants lubrication systems (e.g. gas turbine engine), where the oil temperature can vary widely (-50...+160 C). The temperature impact on the parameters of the electrical circuit of sensing element in the cluster single-coil eddy current sensor of metal chips, which is a part of the debris continuous monitoring system prototype for high-thrust aviation gas turbine engine, is studied in the article. A typical design of the single-coil sensing element is considered. The study results of the temperature effect on the sensing element inductance, as well as on the parameters of the current lead that connects the sensing element to the matching transformer and to the measuring circuit are presented. Methods for reducing the impact of temperature changes in the monitored area on the parameters of the electrical circuit of the sensing element are proposed, too.

Analysis of the Factors Affecting Innovation and Entrepreneurship of College Students Based on TRIZ Theory

Abstract This paper aims to analyze the influencing factors of innovation and entrepreneurship of college students. By studying the framework of the TRIZ theory system, this paper summarizes the common principles of entrepreneurship, realizes the construction of a conflict matrix, establishes entrepreneurship evaluation indexes, and determines the weights of evaluation indexes by constructing a judgment matrix. Then, based on the theory, the influence of each factor on the innovation and entrepreneurship of college students is analyzed in terms of participation status, main obstacle factors, personal trait influence, market influence, and social and governmental support. As for the influence of main external factors, 43.57% of students chose “shortage of funds for innovation and entrepreneurship”, 42.04% of students chose “lack of creativity and cannot find a good direction for innovation and entrepreneurship”, 37.45% of students choose 37.45% of students chose “lack of good innovation and entrepreneurship projects and innovative teams”. In terms of personal traits, innovative thinking, stress resistance, social experience, leadership and coordination, risk tolerance, self-efficacy, and self-drive all affect the decision and effect of entrepreneurship. Support from the government and society is also beneficial for college students to carry out entrepreneurial activities. Innovative entrepreneurial ability is a comprehensive ability influenced by multiple factors and needs to be considered comprehensively in the analysis.

INFLUENCE OF EXTERNAL FACTORS ON LANGUAGE CHANGES

Objective of the article is to find out the main external and internal factors influencing language changes, in particular in the Ukrainian language. Methods. The main scientific results are obtained through an analytical review of the theoretical positions of domestic scientists, in which the issue of internal and external influences on the development and functioning of the Ukrainian language is considered; observation of language phenomena in the modern Ukrainian language. Results. The influence of external factors on language changes is one of the key topics in the field of linguistics. Language, as a living organism, constantly develops and undergoes changes under the influence of various external and internal factors. The study of these factors is currently relevant in connection with the strengthening of the struggle for the purity of the Ukrainian language and its purification from the influences on the lexical composition of the imperial aggressor country The influence of external factors on language changes is a necessary and natural process that occurs in the modern world. Similar processes lead to activation of internal influences. Cultural contact, socio-political changes, technological progress and other factors contribute to the evolution of language through borrowing, adaptation and transformation of the vocabulary and the language system in general. Over the past couple of decades, we have had an impact on vocabulary in various areas, including education. The distance learning system and the globalization of the information space affect the spread of foreign terms and expressions, especially from English to Ukrainian. This is reflected in the use of foreign words, names of educational platforms, abbreviations, logos and terms in communication processes. Changes in language reflect modern realities and needs of society, contribute to more accurate expression of thoughts and ideas. However, it is important to maintain a balance between enriching the language with new borrowings and preserving national identity and cultural heritage.

СПОСІБ ОБҐРУНТУВАННЯ ПОКАЗНИКІВ ВИРОБНИЧИХ МОЖЛИВОСТЕЙ СИСТЕМИ РЕМОНТУ БРОНЕТАНКОВОГО ОЗБРОЄННЯ І ТЕХНІКИ ОПЕРАТИВНОГО УГРУПОВАННЯ ВІЙСЬК В ОПЕРАЦІЇ

In the conditions of modern operations with the enemy’s use of high-precision weapons, the amount of average daily losses of armored weapons and military equipment (BTOT), for example, in the compounds and parts of the OUV, which conducts the operation, can reach 7-10%, and losses in the first day alone – 20 – 25%. This amount of losses of BTOT units and parts of the OUV may lead to the fact that after 3-4 days of the operation they may become limited in combat capability and may not complete the combat tasks assigned to them in full. Therefore, the system of complex repair of damaged BTOT samples will play a major role in maintaining the combat capability of troops during the operation. This causes the need to develop requirements for the production capabilities of this system, in particular, for its main element – the system of repair (repair and restoration) bodies, thanks to which the system under consideration would be able to meet the needs of the troops in the conditions of modern operations. These requirements are related to the determination of the necessary average daily productivity of repair bodies for the repair of one or another type (group) of weapons and military equipment (OMT), the required number of repair departments (platoons), the labor intensity of a certain type of OMT repair, the probability of developing the OMT repair fund, etc. The purpose of this article is to propose a methobability apporoach to the substantiation of the indicators that characterize the system of repair of armored weapons and equipment of an operational group of troops, which takes into account the influence of the main external factors on the process of repair of armored personnel carriers. This is the approach allows you to determine the main indicators that characterize the studied system with sufficient completeness. Keywords: maintenance and repair system, armored weapons and military equipment, repair and restoration bodies.

The movement mode optimization of the manipulator on the elastic base according to the criterion of the mean square value of the rate of change of the drive torque

It was established the presence of boom system oscillations in the process of changing the departure into previous studies of the optimization of the movement mode of the manipulator on an elastic base according to the criterion of the root mean square value of the driving moment of the drive. The purpose of the presented article is to solve the problem of reducing these fluctuations to a minimum. In this work, optimization was performed, where as a criterion for optimizing the motion mode of the boom system of the manipulator, it is proposed to use the root mean square value of the speed of change of the driving torque of the drive. Since this amount of power load is the main external factor of the occurrence of oscillations in the elements of the boom system of the manipulator. The driving torque of the drive was find from the dynamic equations of motion of the manipulator. The rate of change of the driving torque it was define as the time derivative of the driving torque expression by the drive. Such a criterion for optimizing the traffic mode is an integral functional. Its minimization it was carry out by methods of variational calculus.
 The results of the conducted research made it possible is significantly reduce the oscillations of the elements of the boom system of the manipulator on an elastic basis during the movement in comparison with the criterion of the root mean square moment. As result, to create a drive control system that allows to implement the obtained optimal mode of movement.