Hierarchy Method Research Articles

Contribution of positive affect in infant directed speech: what do amplitude modulations patterns suggest?

Speech perception relies heavily on cortical entrainment of amplitude modulations in speech, which occur at different rates. Following a study by Leong et al. (2017) showing slower modulations have higher power than faster modulations in infant directed speech (IDS), we hypothesized that positive emotions in IDS might drive this pattern. Using the same analyses (spectral amplitude modulation phase hierarchy method and phase synchronization index (PSI) (Leong and Goswami, 2015)), we compared the power of isolated modulation rates (synchronous with neural oscillations) and the synchrony between them in IDS and adult directed speech (ADS), using English stimuli from Many Babies Consortium (Frank et al., 2020). We repeated the same analyses comparing happy and neutral ADS using stimuli of four native English speakers (Pell et al., 2009). Our analysis did not uncover significant power differences between IDS and ADS. However, it revealed happy ADS has higher power at slower rates, with the reversed pattern for neutral ADS (p < 0.001). PSI was higher for two faster rates in neutral ADS (p < 0.0001), as reported by Leong et al. comparing IDS versus ADS. These findings reveal novel acoustic features of vocal emotions that might be important in attracting infant attention to IDS.

Design of Computer Information Management System Based on Machine Learning Algorithms

In order to improve the efficiency of office automation, regulate work frequency, and improve office efficiency, this paper presents a computer information management system design based on machine learning technology. Firstly, the basic design principles of computer information management systems are analyzed, and secondly, risk prediction is studied. The risk of computer information management systems is caused by the cross influence of different risk factor indicators, and has linear and nonlinear characteristics. Using a single prediction model cannot obtain accurate prediction results. Therefore, the risk prediction method for computer information management based on machine learning technology. The risk prediction method is established by using Analytic Hierarchy Method in machine learning algorithms, and the historical data is collected according to the index system. The weight of the initial prediction is determined by the combination of subjective and objective weight; In machine learning algorithms, risk prediction and benefit prediction are used as input and output methods for cloud machine learning. Through training and training, a risk prediction model is established to obtain higher prediction efficiency. The simulation results show that the prediction accuracy of this method is 95.5%, which can estimate the hazard existing in computer information management and improve the method.

Examining medical urgent and patient precedence within the telemedicine landscape with its infrastructure and policies: A comprehensive review

Medical facilities are confronted with grave issues, including a population that is aging and a physician shortage. In an effort to address these issues, telehealth and remote health monitoring systems (RHMS) aim to reduce hospital visits by a small amount. RHMS lessens the workload for primary care patients and enhances inter-unit communication, which lessens the strain on emergency rooms. Due to significant advancements in mobile information transfer and processing of signal technologies, some healthcare researchers have made efforts to employ RHMS in place of hospital visits to provide triage and prioritization for individuals. Prioritization is a strategy for giving people urgent medical care in an attempt to save their lives, while clinical examination determines the severity of a sickness or damage. To emphasize the disadvantages of the present patient screening and prioritization system over the telehealth environment, a crucial inquiry is needed. Based on two crucial axes, an in-depth examination of patient prioritization and medical crisis assessment in a videoconferencing setting was provided in this research. First, a collection, analysis, and classification of earlier research on triage of patients and prioritization in this kind of setting was done. Second, a variety of priorities and standards, as well as various approaches and procedures for prioritization, were provided and examined. The subsequent outcomes were attained: The shortcomings and issues with the current patient prioritization and assessment methods were highlighted. The assessment and priority for individuals who have cardiac conditions were not presented. In the years to come, a structure based on the theory of evidence, as well as the incorporation of a multiple-layer analytical hierarchy approach and method for ranking preference due to resemblance to perfect solutions, can be used to prioritize the care of several patients with ongoing cardiovascular disease by triaging them based on various emergencies dimensions.

Application and Benefits of Building Information Modeling (BIM) in Intelligent Engineering Construction

Abstract Currently, in China, intelligent construction research predominantly targets engineering projects, with limited focus on the benefits of Building Information Modeling (BIM) technology. This paper advocates for integrating BIM with cutting-edge engineering construction techniques, adhering to four intelligent construction level assessment principles. We introduce a benefit evaluation model for innovative construction, combining the two-dimensional cloud model with the Analytic Network Process (ANP) hierarchy method. Our findings highlight the significant role of BIM in enhancing operation and maintenance efficiency and in the deepening of design, evidenced by average scores of 4.0868 and 4.0691, respectively. Early stages of innovative construction projects benefit from BIM’s effective material usage control, reducing initial material consumption below planned levels. Furthermore, our analysis reveals BIM’s capacity to simultaneously optimize quality cost provision and additive cost, with Project 1 showcasing optimization indexes of 7.91% and 73.38%, respectively. These results underscore BIM’s substantial impact on improving the economic benefits of intelligent construction.

Designing and presenting a conceptual model of technology transfer for the provision of technological products in the localization and internal construction of oil and gas industry equipment

Technology transfer in the oil and gas industry plays a vital role in improving domestic capabilities and reducing dependence on imports. This article deals with the design and presentation of a conceptual model for technology transfer in order to provide technological products and localization of equipment in this industry. The documents obtained from the searches were used to identify the most important challenges of technology transfer. In the next step, in order to validate the identified critical challenges, ten experts were interviewed and their qualitative judgments about the identified challenges were collected. Among these ten experts, seven experts were from the industry and three experts were from university professors of technology management. Also, in the expert interview stage, in addition to validating the challenges identified based on the literature, a number of new challenges faced by the country's oil and gas industries regarding technology transfer And the first purchases of technological products face them; was identified In the next step, the weights of each of the identified challenges were calculated based on the subject literature and expert interviews, with the design of special questionnaires for pairwise comparisons and the multi-criteria decision-making method of Analytical Hierarchy (AHP). The results of the research show that the use of this model can help to improve the localization process and promote the industrial capabilities of the country in the field of oil and gas. Also, suggestions have been made to facilitate and accelerate the technology transfer process and increase its effectiveness.

Selection of Criteria for Optimization of Factors Determining the Quality of Tillage by a Cultivator

A method for a priori ranking of factors influencing the process of tillage with a cultivator is presented. Determination of optimal criteria for a combined unit with the necessary technical characteristics and high operational efficiency. Hierarchy analysis method is used to compare optimization criteria for a combined cultivator.

Методи прийняття багатоцільових рішень щодо управління транспарентністю розвитку підприємств в умовах конвергенції інвестиційних процесів

It is determined that one of the priorities in any national economy is the problem of forecasting and assessing the level of transparency of development, quality and reliability of functioning of industrial enterprises, their technological and economic subsystems. This has a direct impact on the level of investment, the nature of financing, the distribution of costs for the production of finished products with the achievement of a given quality and reliability, as well as on the financial condition and image. In addition, it has a direct proportional effect on the well-being of society and the quality of life of the population. On the other hand, investing in the real sector of the economy requires banks and other investors not only to optimize investment programs, but also to take into account the specifics of financial, production, economic and socioeconomic activities of industrial enterprises as market participants, and, accordingly, application of models that appropriately link investments with sales policies, production, management, staff, location of production facilities, taxation, etc. It is concluded that the positive level of management of transparency of development of industrial enterprises in the context of convergence of investment processes is inseparable from the processes of planning, regulation, control and forecasting of production and technological processes, as well as the allocation of resources in the process of performing certain complex tasks. Determining the optimal options for current and future development is often associated with solving large-dimensional optimization problems with a large number of different conditions and constraints (for example, requirements for the completeness of variables combined with requirements for the absence of time losses), which, due to their extreme nature, complicate the solution of such problems. Effective methods for optimizing multi-purpose investment decisions in managing the transparency of the development of industrial enterprises in the context of convergence of investment processes include methods for analyzing the usefulness of goals, criteria and alternatives, including those with several vectors; methods of hierarchy of goals, taking into account a number of advantages; information about the chosen strategy, alternatives, their parameterization, stochasticity, substitution ratios, and other characteristics. All these factors can be taken into account for the classification of models of multi-purpose and program-target solutions and the use of the most effective of them when choosing the optimal investment solution in managing the transparency of the development of industrial enterprises in the context of convergence of investment processes.

Evaluation of green pastoral residence in Grassland of Inner Mongolia based on fuzzy mathematics

Based on the theory of rural habitat, the concept of green pastoral residence is proposed, and the green pastoral residence is taken as the research object. Besides, based on the current situation of grassland ecological environment and pastoral living environment in Inner Mongolia, the green pastoral residence evaluation index system is established by using the hierarchical analysis method, and a fuzzy comprehensive evaluation model is constructed combined with fuzzy mathematical theory. Through case analysis, the evaluation results of the two modeling methods of analytic hierarchy method and fuzzy analytic hierarchy method are compared, and the applicability of the two modeling methods is analyzed, and a multi-level decision-making method more suitable for the evaluation of green pastoral residence is obtained.

Success Factors of Youth Entrepreneurship Projects based on Fuzzy Analytic Hierarchy Method on the Example of Kazakhstan

Success Factors of Youth Entrepreneurship Projects based on Fuzzy Analytic Hierarchy Method on the Example of Kazakhstan

МОДЕЛІ ВИБОРУ РОЗТАШУВАННЯ ЛОГІСТИЧНОГО ЦЕНТРУ

Abstract. Allocating a certain territory for transportation, logistics and distribution of goods involves spatial planning and infrastructure rationalization. The decisions regarding the geographical location of the logistics center itself and its structural elements are extremely important, because their impact on the indicators of its activity is long-term. And if mis-take is made during the construction of production or logistics facilities, and this or that facility is placed in an unfortu-nate place, then to correct the situation (moving to a new, better place), a large amount of material, financial, labor and other resources will be needed, which will lead to to the loss of customers, time, freezing of capital and, accordingly, a decrease in the competitiveness of enterprises, industries, countries, etc. The work summarizes the criteria for choosing the location of the logistics center and reviews practices for making decisions about its optimal location, substantiating proposals for choosing the best method. Making a decision about choosing the optimal location of a logistics center is a very difficult economic and mathemat-ical task, because decision-makers have to rationalize the combination of quantitative and qualitative factors, the mass of factors and the trade-offs between them on the basis of socio-economic, political and geographical criteria and the condi-tion of the motor transport infrastructure. When choosing the optimal location of the logistics center, it is proposed to apply the method of analytical hierarchy (AI), which includes procedures for synthesizing many statements, obtaining the priority of criteria and finding alternative solutions. Keywords: multi-criteria models, hierarchical structure, logistics center, routing, motor transport infrastructure.

Government innovation preferences, institutional fragility, and digital economic development

Institutional fragility is an important factor influencing government innovation preferences and driving the development of the digital economy. This study incorporates institutional fragility into the effectiveness of government innovation preferences in driving the digital economy's development. Based on panel data from 30 provinces and regions in China from 2013 to 2021, a "vertical-horizontal" hierarchy method is used to assess the level of digital economic development. A fixed-effects model is applied to examine the impact and transmission mechanism of government innovation preferences on the digital economy. The study also analyzes the moderating effect of institutional fragility and threshold effects. The results are as follows: (1) Digital economic development exhibits an "East high-West low" development pattern, with the boundary line becoming more distinct over time. (2) Government innovation preferences significantly positively influence digital economic development, with a more pronounced effect in the western regions. Overall, a 1 % increase in government innovation preferences results in an average 2.041 % increase in digital economic development, with regional innovation capacity playing a partial mediating role. (3) Institutional fragility negatively moderates the effect of government innovation preferences on the digital economy, and there is a dual-threshold effect. As institutional fragility eases, the driving force of government innovation preferences shows a stepwise upward trend.

Spatial Analysis of Urban Road Traffic Accidents Using GIS

Road traffic accidents are on the rise in urban areas globally, including Sri Lanka, leading to significant human and property losses. The Colombo Municipal Council (CMC) area in Sri Lanka witnesses a particularly high number of these accidents. This study aimed to analyze urban traffic accidents using GIS within complex urban networks. It employed a two-step approach, starting with a hot spot analysis based on accident times and types (fatal, non-grievous, and damage-only), using Kernel Density Estimation (KDE) and Nearest Neighbor Hierarchy (NNH) methods. Additionally, it created separate severity maps and compares the results visually, with KDE offering a comprehensive overview and NNH pinpointing high-accident areas. The KDE method was expected to benefit long-term traffic congestion reduction and safety enhancement. NNH's severity map provides immediate insights for road safety specialists. A mathematical approach involved calculating the Prediction Accuracy Index (PAI) for each method, revealing a notably higher value for NNH, making it a more suitable choice. In conclusion, this study recommended the Nearest Neighbor Hierarchy (NNH) method as superior for road safety analysis, offering important guidance for urban planning and accident prevention efforts

ПРОЕКТИРОВАНИЕ «УМНОГО ДОМА» С ИСПОЛЬЗОВАНИЕМ МЕТОДОВ СИСТЕМНОГО АНАЛИЗА

The article discusses the process of designing an intelligent home automation system. Using various methods of system analysis, namely the tree of goals, context diagrams of the Unified Modeling Language standard and the analytical hierarchy process, the Smart Home system was considered and analyzed. The innovative home systems currently on the market are evolving at an extremely fast pace. A wide range of devices that can be used in the "Smart Home" does not always have the ability to work together with equipment from different companies. This is one of the main existing problems, which is considered in the work. Using the analytical hierarchy method, the most attractive variant of organizing communication in the microservice architecture of the designed home automation system using the TCP protocol was calculated. Creating a "bridge" for integrating hardware from different companies will open up great opportunities for combining devices and make the process of creating a "Smart Home" more flexible and comfortable.

EVALUATION OF ROAD SURFACE OPTIONS BASED ON THE ANALYTICAL HIERARCHY METHOD

Purpose. The purpose of this work is to conduct a comprehensive analysis of various types of road surfaces, including asphalt concrete, cement concrete, and pavement, with the aim of determining the most optimal option for a specific project based on criteria of productivity, durability, cost, and environmental impact. Methodology. The methodology involves the selection of construction materials and rational construction methods, taking into account weather conditions, climatic factors, and economic factors that influence the quality and durability of road surfaces. To evaluate road surface options while considering the importance of various criteria, the Analytical Hierarchy Method (AHP) is utilized. The process includes creating a hierarchy of criteria, assessing their significance, pairwise comparative analysis, calculating weight coefficients, and evaluating alternatives. Based on this analysis, the optimal road surface option is determined for a specific project or task. Findings. At this stage of the decision-making process involving the comparison of road constructions, we considered ten primary requirements and three widely used types of road surfaces: asphalt concrete, cement concrete, and pavement. Through a comprehensive analysis of various road surface options, the most optimal choice for a specific project was determined based on criteria of productivity, durability, cost, and environmental impact. Originality. A scientific approach was employed, which involved the selection of road surface construction and rational construction methods, taking into account weather conditions, climatic factors, and economic factors influencing the quality and durability of the road surface. This approach also considered the significance of various criteria to determine the optimal road surface option for a specific project or task. Practical value. The business model encompasses the stages of project design, implementation of construction work, and outlines a sequence of steps for creating, developing, and ensuring the efficient operation of industrial enterprises. The selection of the optimal road surface construction allows industrial enterprises to generate profits in the shortest possible time with minimal investments.

Do Local Socio-Economic Structures Determine the Spatial Distribution of Human Capital? Analysis of Connections for Rural Areas in Poland

The article has an empirical nature. The subject of detailed analysis is the variations in spatial distribution of human capital in rural areas of Poland and the analysis of the correlation of this phenomenon with local structures of the socio-economic development process. The diagnosis and assessment of variations in the spatial distribution of human capital were performed based on an author’s indicator—a synthetic measure of human capital level (HCI—human capital index). The characterisation of local socio-economic structures was based on the typology of rural areas according to Rural Development Monitoring (RDM 2014 and 2023). The study was conducted for rural areas in Poland defined by the Main Statistical Office based on the administrative criteria of rural and rural-urban municipalities. A total of 2172 municipalities were covered by the study. The data analysis was conducted spatially at the NUTS 5 level and comparatively at the NUTS 2 level for the years 2013–2018. The assumption was verified that the processes of human capital concentration in rural areas in Poland are related to local socio-economic structures of development processes, and the local structure factor that influences the existing differences is the degree of use of agricultural functions. The results of statistical tests positively verify this relationship as statistically significant. Moreover, the article provides strong arguments for shaping regional and rural policy and its implementation. The assumption about the need to change the approach to the study of rural space was positively verified; it is suggested to move away from analyses conducted at the level of the NUTS 2 region to the level of the NUTS 5 municipality. Research on rural areas makes sense only from a local perspective; it allows for a more accurate illustration of the specificity of local communities, revealing their development potentials and barriers, and, as a result, more effective programming of instruments supporting local development, dedicating specific support programs individually for each municipality, while the regional approach presents the state of differences too generally and may often lead to incorrect interpretation. In the empirical part of the article, taxonomic methods of hierarchy (patternless) and classification of multi-featured objects were used. As a result, each object (municipality) was assigned a synthetic measure—the relative human capital level index (HCI). Based on the HCI index, an ex-post hierarchical classification of municipalities was carried out. The main sources of data (diagnostic variables) for the construction of the HCI index were the Local Data Bank of the Central Statistical Office (BDL GUS), the national census of NSP 2011, the Ministry of Finance, the Ministry of Family and Social Policy, and District Examination Boards. The source of data on local socio-economic structures expressed based on the typology of rural areas according to the Rural Development Monitoring (RDM) methodology was the European Fund for the Development of Polish Villages (EFRWP).

Comprehensive performance evaluation and sensitivity analysis method of a cutter-changing robot for a large-diameter shield machine

Cutter-changing robot is a new product to automatically replace the cutter in shield machine, whose performance is affected by multiple criteria with diversity, multiplicity and correlation, which is a complex multiple criteria decision-making problem with limited and fuzzy available information. This paper proposes a comprehensive performance evaluation model including the performance indicator hierarchy, weight determination, measurement and assessment methods of indicators and sensitivity analysis. Fuzzy Analytical Hierarchy Process (FAHP) is applied to identify the construction requirements from external shield machine and environment and design characteristics in the whole cutter-changing process, weight for 3 first-level indicators and 14 s-level indicators are determined. The objective evaluation indexes measured by instrumentation and subjective evaluation indexes quantified by fuzzy logic are normalized within the range of 0–1. The scores and proportion of assessment grade for each indicator at each level are obtained through Fuzzy Comprehensive Evaluation (FCE). Furthermore, the sensitivity of weight and evaluation data on performance evaluation result are deeply analyzed. The applicability and validity of the proposed approach were demonstrated by a case study of a cutter-changing robot made by China Railway Construction Heavy Industry Co., Ltd. According to the result, operational capacity is the most important criteria in the first level, and cutter grasping ability is the most important indicator in the second level. Path planning ability is the weakest indicators. Cutter grasping ability and time of replacement are the most critical affecting factors. The proposed method not only helps the designers capture the weak indicators accurately and improve the design quality, but also provides engineers with a holistic perspective to the cutter-changing robot before actual application.

Distribution Network Reconfiguration Using Chaotic Particle Swarm Chicken Swarm Fusion Optimization Algorithm

Aiming at the problems of traditional optimization algorithms for reconfiguring distribution networks, which easily fall into a local optimum, have difficulty finding a global optimum, and suffer from low computational efficiency, the proposed algorithm named Chaotic Particle Swarm Chicken Swarm Fusion Optimization (CPSCSFO) is used to optimize the reconfiguration of the distribution network with distributed generation (DG). This article works to solve the problems mentioned above from the following three aspects: Firstly, chaotic formula is used to improve the initialization of the particles and optimize the optimal position. This increases individual randomness while avoiding local optimality for inert particles. Secondly, chicken swarm optimization (CSO) and particle swarm optimization (PSO) are combined. The multi-population nature of the CSO algorithm is used to increase the global search capability, and, at the same time, the information exchange between groups is completed to extend the particle search range, which ensures the independence and excellence of each particle group. Thirdly, the node hierarchy method is introduced to calculate the power flow. The branching loop matrix and the node hierarchy strategy are used to detect the network topology. In this way, improper solutions can be reduced, and the efficiency of the algorithm can be improved. This paper has demonstrated better performance by CPSCSFO based on simulation results. The network loss has been reduced and the voltage level of each node in the optimal reconfiguration with distributed power supply has been improved; the network loss in the optimal reconfiguration with DG is 69.59% lower than that reconfiguration before. The voltage level of each node is increased, the minimum node voltage is increased by 3.44% and a better convergence speed is presented. As a result, the quality of network operation and the distribution network is greatly improved and provides guidance for building a safer, more economical and reliable distribution network.

Identification of groundwater potential for urban development using multi-criteria decision-making method of analytical hierarchy process

Detailed knowledge regarding the availability of potential groundwater sources is a prerequisite for the sustainable development of cities and towns in a planned manner. The present study is carried out to identify the potential groundwater sources for the growth of towns and cities around Virudhunagar district, India by integrated geospatial techniques and analytical hierarchy method. The groundwater potential zones are divided into four groups: low, medium, high, and very high. It is obtained that 1.71% and 51.86% fall under the low and medium zones, respectively. The area with high and very high groundwater potential accounts for 45.7% and 0.73% of the total area, respectively. Finally, potential areas identified for groundwater are validated with data on the potential yield of various wells, demonstrating a good correlation. The results of this research will help planners and decision-makers to better plan and develop future cities.

Marketing policy of farms in Ukraine

Unequal conditions for the functioning of farms as a part of agricultural sector require strategic thinking and marketing orientation from farmers. The limited use of marketing tools in the management activities of farmers is associated with insufficiently adapted marketing provision for the specifics of farming. The aim of the article is to substantiate the marketing provision of the strategic development of farming based on a rational combination of optimal elements of modification models of the marketing mix. The theoretical and methodolo­gical basis of the research was made up of the fundamental positions of the general economic theory, the system-structural analysis of econo­mic processes, the results of the scientists’ work on the researched issues. Monographic, abstract-logical, graphic methods, analysis and synthesis, analogy, theory of rational choice, methods of points, expert evaluations, combi­ning, analytical hierarchy, and statistical proces­sing of information were used in the research process. Prerequisites of the marketing type of farm management are determined. Based on the generalization of the problems of farming in modern conditions, the expediency of using strategic marketing tools in the process of its activity is argued. The meaning and significance of marketing provision in the development of farming is revealed. A model of the farm marketing complex has been created. The marketing support of farming is substantiated, within which examples of the use of strategic tools are given. Farms that use strategic marketing have the advantages of successful adaptation to the market, different from their competitors. The application of reasonable marketing provision for the development of farming on the basis of a marketing mix adapted to the specifics of farming expands its possibilities and strategic horizons as a progressive business form.

Analyzing Overseas Experience in Conducting Marketing Research in Business: Method of Hierarchy Analysis

Continuous upgrading in business activity through the process of marketing research is essential for survival of all companies on highly-competitive markets. Analysis of adequate experience and practice dealing with marketing research in business gives an opportunity to influence different aspects of entrepreneurship, such as innovation, access to markets, delivery of human capital, strategic decision-making and others. There is a number of quality estimation of research experience and practice topicality in business activity. However, business quarters, including academic and industrial business people face a problem whether there is a uniform system of estimating scientific and production practices in marketing research aimed at assessing their quality/topicality by several important business characteristics. In view of this the goal of the research is to study overseas experience in conducting marketing research in business sphere in order to produce academic and industrial outlook based on the method of analytical hierarchy. Important estimation characteristics of marketing research in entrepreneurship were obtained in interviews with concerned people and analysis of academic investigations. On this foundation estimation indices and method of hierarchy analysis were elaborated and reasonable values of estimation criteria were fixed. Analysis results show that this model can assess the quality and topicality of marketing research in business objectively, accurately and rationally.