Efficiency Of Personnel Research Articles

Harnessing artificial intelligence for human resources management: Tools, advantages, and risks in the energy sector

The main goal of the study is aimed at determining the features of the use of artificial intelligence in HR in the energy sector. The relevance and necessity of the study is due to the increasing intensity of the introduction of artificial intelligence in all sectors of the world economy, which necessitates the need to improve existing and search for new management approaches in companies in the energy sector. The introduction of artificial intelligence technologies into HR business processes is justified. Artificial intelligence tools in HR are considered, the advantages and disadvantages of each of them are highlighted. The focus is on artificial intelligence in HR processes of energy companies: personnel training and development. The ways of using artificial intelligence in HR and its impact on HR business processes and personnel efficiency are highlighted. The prospects for the development of HR systems, difficulties, dangers and risks of using artificial intelligence in HR business processes are covered. The results of the study can be used in practice when organizing a human resource management strategy for a company in the energy sector using trending artificial intelligence technologies and to ensure the efficiency of these business processes.

КОМПЬЮТЕРНОЕ МОДЕЛИРОВАНИЕ В ИЗУЧЕНИИ ГЕОМЕТРО-ГРАФИЧЕСКИХ ДИСЦИПЛИН

The training of engineering personnel includes mastering all the necessary competencies that allow solving modern engineering problems at a high professional level. Geometric and graphic disciplines are the basis of a welltrained specialist. Studying descriptive geometry, engineering and computer graphics is necessary in the modern world of digital technology. Therefore, to use classical tools (a ruler, a pencil, a compass) it is necessary to master and automate designing, which provides the ability to design, calculate and model objects of various complexity. The paper aims to develop a new methodology for performing computational and graphic work (CGW) in the training course “Engineering and Computer Graphics”, which allows you to move from a flat representation of the original and design surface to a visual form for the purpose of analyzing and determining optimization paths. The application of the resulting methodology will improve the efficiency of training engineering and construction personnel.

Correlation and regression assessment of the main factors influence on the change in the level of the net profitability of sales

Ensuring the positive dynamics of the agricultural organizations development taking into account their specifics is an extremely difficult process. It is due to the seasonal nature of the activity and significant dependence on external factors. In this regard, it requires high efficiency of management personnel, which is expressed in the quality of the development strategy being designed, the ability to analyze the current results achieved in their correlation, based on the results of the analysis, to make adjustments to the development strategy and current activities. To solve these problems, a system of indicators is important, which will make it possible to draw objective conclusions on the analysis of the relevant subject of research. In the proposed article, the author uses the correlation method to analyze and study the impact on the profitability of sales of such indicators as labor productivity, return on capital of production assets, turnover of working capital, labor capital ratio, current liquidity ratio, investments per 1 hectare of agricultural land. For the first time, the object of the study was twenty peasant farms in the region. As a result of the analysis, a forecast of the level of management efficiency dependence of on selected factors was made, calculated on the database of the studied enterprises in the region. The use of the systematic analysis of correlations will make it possible to make adjustments to current activities and thus ensure its positive dynamics and achieve the ultimate goal of ensuring financial stability.

РИЗИКИ ТА ЗАГРОЗИ ЕФЕКТИВНОГО ФУНКЦІОНУВАННЯ ЛОГІСТИЧНОГО МЕХАНІЗМУ ДІЯЛЬНОСТІ ПІДПРИЄМСТВА

The article analyzes various aspects of the formation and implementation of the logistics mechanism of the operation and development of the enterprise. The purpose of the study is to improve methodical approaches to identification, analysis and leveling of risks and threats to the effective functioning of the logistics mechanism of the enterprise. It is argued that the logistics mechanism plays one of the key roles in the production and economic activity of enterprises of the real sector of the economy, acting as a continuation of the technological component of business and its spread into the sector of distribution and consumption of products. It is shown that for enterprises that specialize in the production of products and promote them to the market, as well as importers and organizations of trade or distribution in the domestic market, logistics plays one of the decisive roles, implementing functions and tasks that are closely related to promotion, distribution and sale goods; thus, logistics serves as an intermediate link between the sectors of production (import) and retail sales of products, their consumption. Special attention is drawn to the challenges, risks and threats of building and effective functioning of the logistics subsystem of the economic entity. Thus, the object of the study is the improvement of methodical approaches to the identification, analysis and leveling of risks and threats to the effective functioning of the logistics mechanism of the enterprise. The basic elements of the risk management policy in the field of formation of the logistics mechanism of the functioning of enterprises have been determined. It is substantiated that the risk and threat management model of the logistics mechanism of the enterprise involves the implementation of a number of functions and tasks in such directions as protecting the interests of the enterprise from changes in the institutional-legal and institutional-organizational environment of logistics; ensuring control and proper efficiency of logistics and warehouse personnel; taking into account changes in the market situation and their impact on the volumes and economic efficiency of the enterprise, etc.

КЛЮЧЕВЫЕ СТРАТЕГИЧЕСКИЕ НАПРАВЛЕНИЯ РЕШЕНИЯ ПРОБЛЕМ УПРАВЛЕНИЯ ПРОИЗВОДИТЕЛЬНОСТЬЮ В СОВРЕМЕННОЙ ОРГАНИЗАЦИИ

The article examines the key problems of performance management within the framework of strategic management of an organization. The main factors shaping the occurrence of problems are analyzed and ways to solve performance management problems are proposed. Combinations of strategies have been formed to increase the efficiency of personnel.

Developing Human Resource Management IN Increasing Sustainable Competitive Advantage IN SMAN 4 Bekasi Student

Human Resources (HR) is a key component and determinant of success and failure in an organization or institution. Educational institutions are in dire need of talented people to help them succeed and achieve their goals. HR is the driving force behind the system and all facilities, assets, curriculum, facilities, infrastructure, and all other resources. All educational resources cannot function optimally if they are not supported by the availability of human resources, and should carry out strategic, integrated, cohesive, and comprehensive workforce planning for education personnel. This study uses the library research method, namely by collecting relevant data from books, journals, magazines, and so on. This type of research is qualitative research with a descriptive analysis method, namely a method that seeks to systematically present the material to obtain the results as a conclusion. Qualitative research is the process of exploring and understanding the behavior of individuals or groups. Describing social problems or humanitarian problems. This study uses the observation method by directly observing the activities carried out by students of SMA Negeri 4 Bekasi City. Education Personnel Planning provides direction for all institutions in terms of human resources needed, and human resource activities to be managed and developed, and can improve the effectiveness and efficiency of institutions, educators and education personnel can integrate with short-term planning goals and long-term educational institutions.

Research on Operational Status Monitoring Technology of the Secondary Circuit of Intelligent Substation Based on Virtual Circuit Visualization

With the promotion and construction of intelligent substations, how to reliably monitor the operation status of the intelligent components and related circuits of the secondary circuit equipment has become a difficult problem to which needs to be paid attention in the optimization operation and relay protection of the power system. This article proposes an intelligent substation secondary circuit operation status monitoring technology, which visualizes the design of SCD files. At the same time, the entropy weight method and grey correlation analysis method are introduced into the monitoring system to improve the work efficiency of on-site operation and maintenance personnel and promote the development of substation intelligence.

Formation of special and leadership competencies of the head of an organization: the approach of the educational environment

In modern economic conditions, the most important factor in increasing the efficiency and productivity of personnel is the strategy of developing special and leadership competencies of line and functional managers of industrial organizations. Currently, there is an increase in the scope of responsibility of managers: implementation of project activities; digital transformation of business processes; building effective business communications; carrying out timely prevention of destructive conflicts and professional stress of personnel, etc. These factors increase the requirements for the competence of a modern manager: for his special, leadership competencies and for the level of emotional intelligence. In order to timely solve strategic problems of innovative development, it is necessary to create favorable socio-psychological and organizational conditions of the internal environment of an industrial organization, ensuring an increase in the level of development of not only professional competencies, but soft skills. The presence of a set of these groups of competencies in the «portfolio» of managers’ competencies makes it possible to demonstrate the effectiveness of managerial work. By the effectiveness of managerial work, the authors understand the degree of achievement of the tactical and strategic objectives set in the organization for the development of human resources, taking into account the costs of production factors and management competencies. It is necessary to increase this indicator based on a strategy for expanding management competencies, which allows for optimal use of production factors, thereby increasing the pace of socio-economic development of the organization. In this study, we adhere to the hypothesis that the strategy for the formation of special and leadership competencies must be considered as a mandatory element of the active personnel policy of a modern organization, ensuring the harmonization of social and labor relations. The following methods were used in this study: method of comparison and synthesis of information; questionnaire; expert survey. As part of the theoretical stage of the study, an analysis of scientific publications was carried out, the results of which are of practical importance for determining the principles and methods of developing special and leadership competencies of managers. At the empirical stage of the study, a questionnaire survey and an expert survey were conducted to assess the importance of management competencies of line and functional managers of industrial organizations in the oil and gas industry. The article presents an analysis of the results of questionnaire and expert surveys. In the study, the experts were line managers of an industrial organization in the oil and gas industry (three experts), and the respondents in the survey were students studying in the field of «Management» at Samara State Technical University

Improved Detection of Urolithiasis Using High-Resolution Computed Tomography Images by a Vision Transformer Model.

Urinary stones cause lateral abdominal pain and are a prevalent condition among younger age groups. The diagnosis typically involves assessing symptoms, conducting physical examinations, performing urine tests, and utilizing radiological imaging. Artificial intelligence models have demonstrated remarkable capabilities in detecting stones. However, due to insufficient datasets, the performance of these models has not reached a level suitable for practical application. Consequently, this study introduces a vision transformer (ViT)-based pipeline for detecting urinary stones, using computed tomography images with augmentation. The super-resolution convolutional neural network (SRCNN) model was employed to enhance the resolution of a given dataset, followed by data augmentation using CycleGAN. Subsequently, the ViT model facilitated the detection and classification of urinary tract stones. The model's performance was evaluated using accuracy, precision, and recall as metrics. The deep learning model based on ViT showed superior performance compared to other existing models. Furthermore, the performance increased with the size of the backbone model. The study proposes a way to utilize medical data to improve the diagnosis of urinary tract stones. SRCNN was used for data preprocessing to enhance resolution, while CycleGAN was utilized for data augmentation. The ViT model was utilized for stone detection, and its performance was validated through metrics such as accuracy, sensitivity, specificity, and the F1 score. It is anticipated that this research will aid in the early diagnosis and treatment of urinary tract stones, thereby improving the efficiency of medical personnel.

The air traffic control training process: A review of research

Air traffic control (ATC) is a complex part of the air transport system. Training in this activity takes more than one year and requires special qualities and abilities from all participants in this process. Recent studies consider the learning process as one of the determining factors that further influences the efficiency of aviation personnel. The purpose of this review article was to describe the available researches on the ATC training process and related areas, to analyze them, to identify gaps and areas where further research can be conducted. The studies were divided into several areas: studies analyzing ATC training programs (at the FAA Academy and other organizations); research related to simulator training; instructor methods in ATC training; related to ATC instructor competence; interaction between the instructor and the student, etc. In preparing this review, literature sources were used in publications included in Scopus, Web of Science, Google Scholar, Cyberleninka and Russian Science Citation Index. Preference was given to sources published in the last 17 years. The work can be useful for researchers of psychological, pedagogical aspects of the work of ATC instructors, students, as well as all those who are interested in finding methods to improve the efficiency of ATC and reduce the impact of the human factor on their work.

Infrared Fault Classification Based on the Siamese Network

The rapid development of solar energy technology has led to significant progress in recent years, but the daily maintenance of solar panels faces significant challenges. The diagnosis of solar panel failures by infrared detection devices can improve the efficiency of maintenance personnel. Currently, due to the scarcity of infrared solar panel failure samples and the problem of unclear image effective features, traditional deep neural network models can easily encounter overfitting and poor generalization performance under small sample conditions. To address these problems, this paper proposes a solar panel failure diagnosis method based on an improved Siamese network. Firstly, two types of solar panel samples of the same category are constructed. Secondly, the images of the samples are input into the feature model combining convolution, adaptive coordinate attention (ACA), and the feature fusion module (FFM) to extract features, learning the similarities between different types of solar panel samples. Finally, the trained model is used to determine the similarity of the input solar image, obtaining the failure diagnosis results. In this case, adaptive coordinate attention can effectively obtain interested effective feature information, and the feature fusion module can integrate the different effective information obtained, further enriching the feature information. The ACA-FFM Siamese network method can alleviate the problem of insufficient sample quantity and effectively improve the classification accuracy, achieving a classification accuracy rate of 83.9% on an open-accessed infrared failure dataset with high similarity.

Investigating the Effect of the 7S Technique on Performance Management and Productivity of Operating Room Staff: An Interventional Study

Background: One of the most important issues in a health care system is the performance management and productivity of employees. Sigma technique is a quality improvement method, which has proved effective in many organizations and has recently been used in the health care system, especially in the operating room. The aim of this study was to investigate the effect of the Seven Sigma technique (7S) on performance management and productivity of operating room staff in selected educational and medical centers of Iran University of Medical Sciences. Methods: In this interventional research, the study population consisted of 45 operating room staff including technicians, technologists, and surgeons. Before the intervention, a WhatsApp channel was created to gather group members. Then, over the course of three weeks, the principles of the Seven Sigma technique were gradually sent to the research population, and participants were asked to carefully review the materials. Every three days, after posting a question in the channel to ensure understanding of the previous topic, the next section was also posted in the channel. Then, after three weeks, a productivity questionnaire was sent to the research population, and using a researcher-made checklist, the performance of the employees was evaluated. Standard statistical methods were used to analyze the data in SPSS version 22.0. Results: From a total of 45 staff, 62% were women and 38% were men. The majority of subjects (36%) were between 24 and 28 years old. The majority of personnel (89%) had a university degree in operating room, and most of them (84%) had a bachelor’s degree. Most of the staff (91%) worked rotating shifts during the month. There was a significant difference between the pre-test and post-test mean scores of performance management (P<0.001). There was also a significant difference between the pre-test and post-test mean scores of productivity (P<0.001). Conclusion: The findings indicated the effectiveness of the 7S technique in performance management and productivity of the staff. Therefore, the relevant authorities are requested to increase performance management using the 7S technique to reduce defects and problems limiting the efficiency of personnel in the operating room. This method can also be practical and useful for other wards of hospitals.

Analysis of the Influence of Number of Segments on Similarity Level in Wound Image Segmentation Using K-Means Clustering Algorithm

This study underscores the importance of wound image segmentation in the medical world to speed up first aid for victims and increase the efficiency of medical personnel in providing appropriate treatment. Although the body has a protective function from external threats, the skin can be easily damaged and cause injuries that require rapid detection and treatment. This study used the K-Means clustering algorithm to segment the external wound image dataset consisting of three types of wounds, namely abrasion, puncture, and laceration. The results showed that K-Means clustering is an effective method for segmenting wound images. The greater the number of segments used, the better the quality of the resulting segmentation. However, it is necessary to take into account the specific characteristics of each type of wound and the number of segments used in order to choose the most suitable segmentation method. Evaluation using various metrics, such as VOI, GCE, MSE, and PSNR, provides an objective assessment of the quality of segmentation. The results showed that abrasion wounds were easier to segment compared to puncture wounds and lacerations. In addition, the size of the image file also affects the speed of program execution, although it is not always absolute depending on the characteristics of the image.

Changes in the Social and Labour Sphere under the Influence of the Green Economy Development

The article identifies the main directions of changes in the social and labour sphere under the influence of green economy development (creation of green jobs, transformation of traditional jobs; changes in the organisation of labour and social status of workers who work in green jobs). The author formulated the main characteristics of a green workplace: compliance with the concept of decent work; organisation of labour, which assumes the absence of environmentally harmful materials in the workplace, resource saving, use of modern harmless and environmentally friendly technologies of production and service provision, favourable socio-psychological climate in the team, use of modern forms of employment, which allow preserving health and efficiency of personnel, rational work and rest regimes. The characteristics of the required competencies of employees (professional, personal, managerial), who work in an organisation making the transition to a green economy, are given. The factors that have a positive impact are identified (increase of job security provided that the workplace conforms to the concept of decent work; improvement of sanitary and hygienic and psychophysiological working conditions; increase of the level of wages and living standards of employees provided that the workplace conforms to the concept of decent work) and factors of negative impact on social status of workers in the conditions of transformation of workplaces towards green economy. Recommendations on the regulation of the green labour market are formulated.

Синтез производственных систем на этапах инновационно-технического развития промышленности Донецкой Народной Республики

The processes of interaction of the engineering cycle, engineering and economic methods of analysis and syn-thesis of production structures, at the stages of the industrial revolution (Industry 5.0) of the Donetsk People's Republic, are associated with the design of progressive forms of organization of production and production systems (PFOP and PS). It is a complex scientific and technical task in which numerous organizational and technical solutions (Industry 4.0) intersect, this requires various technological areas to develop innovative mod-els, methods and tools, create new forms and ways of organizing production structures, proves the need for scientific justification of the quality of the designed production system as a whole. As part of this article the main stages of technical design of progressive forms of production organization are substantiated, approaches to the choice of theoretical schemes of development of spatial and branch structure of the production process of industrial enterprises of the Donetsk People's Republic are characterized, simulation modeling of forms of organization of production processes and production systems is carried out, technological areas of solving problems of structural synthesis according to the most important criteria of interrelation of indicators of tech-nical, technological and economic evaluation of the effectiveness of key indicators of the production process quality are allocated. Conclusion dwells upon the fact that a clear correlation of these elements in a unified innovation process will lead to the creation of new forms of sustainable development of advanced technolo-gies, expand the capabilities of the enterprise and maximize the efficiency and productivity of personnel.

The Effectiveness of In-service Training Course on Adult Cardiopulmonary Resuscitation Based on the Kirkpatrick Model

Background: Cardiopulmonary arrest is one of the most critical medical emergencies in the emergency department. Nurses’ knowledge and skills play an essential role in successful cardiopulmonary resuscitation. Therefore, holding in-service training courses is considered vital. Objectives: This study evaluated the effectiveness of an in-service training course (ISTC) on adult cardiopulmonary resuscitation (CPR) based on the Kirkpatrick model. Methods: This cross-sectional descriptive study was conducted on 50 emergency department nurses of 5-Azar Hospital in Gorgan, Iran. Training effectiveness was implemented on the four levels of Kirkpatrick's model (including reaction, learning, performance, and findings). The raw data were analyzed by the SPSS version 21 software with descriptive statistics (frequency, mean and standard deviation) and inferential statistics (including Paired t-test and Independent Samples t-test) in a significant level of α = 0.05. Results: The overall effectiveness of ISTC for adult CPR was reported as 83.23%. The chance of cardiopulmonary resuscitation success increased from 25% in the first six months to 53% in the second six months. In addition, the effectiveness of ISTC was observed in the four levels of the Kirkpatrick model. Conclusions: Based on the findings, in-service CPR training had a favorable effect on all four levels of the Kirkpatrick model for nurses. The findings of this study significantly increased the efficiency of personnel because evaluating the quality of training courses made them more effective.

A novel oxygen-enriched method for sentry buildings on plateaus based on an attached jet

Due to the existence of windows and the weak thermal resistance of building envelopes, the sentry building is easily affected by the low-oxygen and low-temperature environment at high-altitudes, which affects the work efficiency, cognitive ability and comfort of personnel. This study proposed a novel oxygen supply method suitable for plateau sentry buildings based on attached jet theory, which can achieve coupling control of the thermal and oxygen environment. The computational fluid dynamics (CFD) method was adopted to study the effect of air supply parameters and oxygen supply concentration on environment creation. The results showed that the environmental creation method could efficiently create the local environment. In addition, a nonuniform oxygen environment is created indoors. That is, the oxygen concentration in the head area is greater than that in the non-head area. It greatly improved the utilization rate of oxygen resources. The influence of the air supply velocity on the indoor environment creation effect is greater than that of the air supply temperature. The effect of creating a local oxygen environment is proportional to the concentration of oxygen supplied. The optimal air supply parameters are an air supply velocity (V) of 3 m/s, air supply temperature (Ts) of 30 °C, and oxygen supply concentration (C) of 90%, with the highest oxygen-enriched velocity of 1.598%/min. The research conclusions will provide new ideas for local environmental control methods in sentry buildings on the plateau and expand to actual projects to solve the problem of engineering application.

Research on Thermal Insulation Characteristics of Thermal Barrier Coating Materials Based on Human-Machine-Environment Engineering

Aiming at the problem that automotive human-machine-environment engineering research the temperature in the vehicle is too high to restrict the working efficiency of personnel and the comprehensive performance of the vehicle. This paper expounds the essence of human-machine-environment engineering research, analyzes the current research status of thermal barrier coating materials, compares and analyzes the thermal insulation performance of thermal barrier coating materials at various stages, and verifies the thermal insulation characteristics of thermal barrier coating materials through experiments, which provides a theoretical reference for the research of human-machine-environment engineering in the automotive field.

Decision Support System for Selecting Rescuer Candidates for Basarnas Special Group Using SMART And BORDA

The National Search and Rescue Agency (also known as BASARNAS) is a government agency responsible for offering search and rescue services in the event of an accident or disaster. At BASARNAS there is a special team, the BASARNAS Special Group (BSG). BSG performs rescues during national and international disasters or accidents. BSG itself consists of selected people, namely BSG candidates from all search and rescue office rescuers in Indonesia. BSG candidates themselves are still calculated manually so that it can affect the time efficiency of SAR personnel in making selections, this research was conducted at the Medan Class A Search and Rescue Office. To ensure that BSG candidates are accurate and processed quickly, a decision support system is needed. This time the researchers utilized the Simple Multi Attribute Rating Technique (SMART) and BORDA methods to determine BSG candidates. With the criteria used, namely fitness (K1), physical health (K2), mental health (K3) and creativity (K4). Then the alternatives used are 25 alternatives which include 20 skilled rescuers and 5 beginner rescuers. and the results can be saved in the form of a PDF file. The results of calculations using the SMART and BORDA methods found that among skilled rescuers, Rescuer-T15 is a suitable candidate to become a BSG candidate by obtaining a total score of 6049.25 and among novice rescuers, Rescuer-P5 obtained the highest score of 756.00.

Research on the Distribution of Emergency Supplies during the COVID-19 Epidemic

The COVID-19 virus spreads quickly and is highly contagious, and the timeliness of emergency supplies is extremely demanding, so adequate and efficient emergency supplies have become a necessary prerequisite for strict prevention and control during the outbreak. However, the available research results are still relatively few, and using the brain storm optimization algorithm to solve the emergency supplies distribution problem is still blank. In order to optimize the emergency supplies distribution system in the context of COVID-19, this paper studies the open vehicle routing problem by considering the load weight constraints, demand constraints, and time window constraints. With the shortest total distribution distance as the objective function, a mathematical model of mixed integer linear programming is established, and the crossover operation of the genetic algorithm, the destruction operator and the repair operator of the large neighborhood search algorithm are introduced in the brain storm optimization algorithm to enhance the diversity of the solution while making the solution toward the optimal direction. Through the verification of two sets of examples, we found that compared with the other 13 solution algorithms, the solution capability and solution efficiency of the brain storm optimization algorithm are better than the comparison algorithms, which can significantly reduce the length of the distribution route and lower the distribution cost, and has excellent convergence and stability. Meanwhile, it can effectively improve the distribution efficiency of emergency supplies, which is of great significance to help the emergency reception and regular prevention and control during the outbreak of the COVID-19 epidemic. In addition, it has the necessary guidance for the improvement of personnel efficiency in the supply chain and logistics industry.