scholarly journals ASSESSMENT OF RELIABILITY OF THE DRIVER – CAR – ROAD – ENVIRONMENT (DCRЕ) SYSTEM IN MOUNTAIN CONDITIONS

2020 ◽  
Vol 20 (1) ◽  
pp. 38-46
Author(s):  
S. S. Saydulozoda ◽  
◽  
K. T. Mambetalin ◽  
A. M. Umirzokov ◽  
U. M. Mullaboev ◽  
...  
Keyword(s):  
Periodic Function ◽  
Estimation Methods ◽  
Factors Affecting ◽  
External Influences ◽  
Detailed Classification ◽  
Stable Frequency ◽  
Probabilistic Character ◽  
Probabilistic Nature ◽  
The Impact

The article provides an assessment of the factors affecting the reliability of the DCRE system in mountain conditions. A more detailed classification of factors affecting the reliability of the DCRE system in mountain conditions is given for such groups of features as design and technological, operational and road-climatic. In addition, the article gives a classification of factors affecting the reliability of the DCRE system in mountain conditions based on controllability. In both classifications, particular importance is given to such factors as altitude, the reliability structure of the elements of the DCRE system, the reliability structure of the elements of the car, the subsystems of the DCRE system, the probabilistic nature of the influence of external influences on the elements of the car, the types and frequency of maneuvers, their dynamism, etc. The specifics of the influence of the main factors determining the reliability and durability of heavy-duty mining car in difficult and extreme conditions of cargo transportation in mountain conditions are analyzed and justified. To assess the influence of the stochastic nature of external influences that determine the dynamics of the interaction of the car with the roadway, depending on the sample size, the nature of the process, the state of the object under study and other factors, the most rational methods based on probability theory are substantiated. Three of them are recommended for an adequate assessment of the impact of external influences on the output indicators of the car, in particular to assess the process of interaction of the car with the roadbed, which has a probabilistic character. Among the recommended estimation methods are included such methods as the method of approximating the external load with a periodic function such as a sinusoid with certain values of the amplitude and period of oscillation, the method of expanding the periodic function in Fourier series and the probabilistic-statistical method, which is based on taking into account the action of many random factors characterized by stable frequency.

scholarly journals Defining degree of semantic similarity using description logic tools

2021 ◽  
pp. 024-033
Author(s):  
O.V. Zakharova
Keyword(s):  
Semantic Similarity ◽  
Description Logic ◽  
Special Functions ◽  
Estimation Methods ◽  
Knowledge Based ◽  
Specific Concept ◽  
Semantic Proximity ◽  
Quantitative Indicators ◽  
The Impact

Establishing the semantic similarity of information is an integral part of the process of solving any information retrieval tasks, including tasks related to big data processing, discovery of semantic web services, categorization and classification of information, etc. The special functions to determine quantitative indicators of degree of semantic similarity of the information allow ranking the found information on its semantic proximity to the purpose or search request/template. Forming such measures should take into account many aspects from the meanings of the matched concepts to the specifics of the business-task in which it is done. Usually, to construct such similarity functions, semantic approaches are combined with structural ones, which provide syntactic comparison of concepts descriptions. This allows to do descriptions of the concepts more detail, and the impact of syntactic matching can be significantly reduced by using more expressive descriptive logics to represent information and by moving the focus to semantic properties. Today, DL-ontologies are the most developed tools for representing semantics, and the mechanisms of reasoning of descriptive logics (DL) provide the possibility of logical inference. Most of the estimates presented in this paper are based on basic DLs that support only the intersection constructor, but the described approaches can be applied to any DL that provides basic reasoning services. This article contains the analysis of existing approaches, models and measures based on descriptive logics. Classification of the estimation methods both on the levels of defining similarity and the matching types is proposed. The main attention is paid to establishing the similarity between concepts (conceptual level models). The task of establishing the value of similarity between instances and between concept and instance consists of finding the most specific concept for the instance / instances and evaluating the similarity between the concepts. The term of existential similarity is introduced. In this paper the examples of applying certain types of measures to evaluate the degree of semantic similarity of notions and/or knowledge based on the geometry ontology is demonstrated.

scholarly journals Defining degree of semantic similarity using description logic tools

2021 ◽  
pp. 016-026
Author(s):  
O.V. Zakharova ◽  
Keyword(s):  
Semantic Similarity ◽  
Description Logic ◽  
Special Functions ◽  
Estimation Methods ◽  
Knowledge Based ◽  
Specific Concept ◽  
Semantic Proximity ◽  
Quantitative Indicators ◽  
The Impact

Establishing the semantic similarity of information is an integral part of the process of solving any information retrieval tasks, including tasks related to big data processing, discovery of semantic web services, categorization and classification of information, etc. The special functions to determine quantitative indicators of degree of se­mantic similarity of the information allow ranking the found information on its semantic proximity to the pur­po­se or search request/template. Forming such measures should take into account many aspects from the mea­nings of the matched concepts to the specifics of the business-task in which it is done. Usually, to construct such si­milarity functions, semantic ap­proaches are combined with structural ones, which provide syntactic comparison of concepts descriptions. This allows to do descriptions of the concepts more detail, and the impact of syntactic matching can be significantly reduced by using more expressive descriptive logics to represent information and by moving the focus to semantic properties. Today, DL-ontologies are the most developed tools for representing semantics, and the mechanisms of reasoning of descriptive logics (DL) provide the possibility of logical inference. Most of the estimates presented in this paper are based on basic DLs that support only the intersection constructor, but the described approaches can be applied to any DL that provides basic reasoning services. This article contains the analysis of existing approaches, models and measures based on descriptive logics. Classification of the estimation methods both on the levels of defining similarity and the matching types is proposed. The main attention is paid to establishing the similarity between concepts (conceptual level models). The task of establishing the value of similarity between instances and between concept and instance consists of finding the most specific concept for the instance / instances and evaluating the similarity between the concepts. The term of existential similarity is introduced. In this paper the examples of applying certain types of measures to evaluate the degree of semantic similarity of notions and/or knowledge based on the geometry ontology is demonstrated.

scholarly journals INFLUENCE OF INTERNAL AND EXTERNAL FACTORS ON THE FINANCIAL STABILITY OF COMMERCIAL ORGANIZATIONS AND THEIR CLASSIFICATION

2016 ◽  
pp. 74-77
Author(s):  
V. I. Kostyanaya
Keyword(s):  
Financial Stability ◽  
External Factors ◽  
Business Organizations ◽  
Factors Affecting ◽  
Commercial Organizations ◽  
Internal And External Factors ◽  
The Impact

This article describes the different approaches of contemporary Russian authors to the classification of the factors affecting the financial stability of the business organizations, it is affected, as well as developed and offered a refined group, which will help more than is justified to assess the impact of these factors on the financial stability of the organization.

scholarly journals Classification of factors influencing the foreign economic activity of enterprises

2019 ◽  
pp. 10-12
Author(s):  
Viktoriia FURSOVA ◽  
Nelia KARATSEVA ◽  
Maryna RUBAN
Keyword(s):  
Economic Activity ◽  
Financial Stability ◽  
Time Lag ◽  
Factors Affecting ◽  
Advantages And Disadvantages ◽  
Factors Influencing ◽  
Management Capability ◽  
The Difference ◽  
The Impact

Introduction. While providing foreign economic activity, enterprises have many problems, which can lead to loss of their financial stability and even bankruptcy. That is why, especially in periods of crisis it is very important to identify factors that affect the efficiency of foreign economic activity of companies. The purpose of the work is to systematize the modern researches and to improve the classification of factors influencing the foreign economic activity of economic entities to ensure their sustainable development. Results. The article is devoted to the study of the factors influencing the foreign economic activity of enterprise. Based on the systematization of the views of the majority of authors, it was determined that today there is no generally accepted classification of factors affecting foreign economic activity. Most researchers divide impacts on foreign economic activity on the external and internal, the difference is only in the number and types of factors. Due to the critical analysis of the modern researches, the authors identified a number of advantages and disadvantages in the classifications of factors affecting foreign economic activity. According to the results of the study, a classification of factors of influence on foreign economic activity is proposed, which contains 5 criteria: source of origin, management capability, type of foreign economic activity, the specificity of the impact, the nature of the impact on foreign economic activity effectiveness. Conclusion. Other classification criteria such as time lag, degree of predictability, coverage, etc. should also be taken into account by management during the formulating a strategy for the development of foreign economic activity enterprises, but these characteristics do not reveal the specifics of foreign economic activity of economic entities. The proposed classification can be the basis for further research, that identified the types of risks of foreign economic activity. The generalization and systematization of the theoretical foundations on this issue is of practical value and will help to identify the main ways of forming an effective strategy for the development of enterprises in foreign markets.

COMMERCIAL OPERATION OF THE SEAPORTS AND THE ASPECT OF CRUISE SHIPS AND DRONE THREATS

2020 ◽  
Vol XIII ◽  
pp. 1-2
Author(s):  
Józef Zawadzki
Keyword(s):  
Port Security ◽  
Factors Affecting ◽  
Cruise Ships ◽  
Commercial Operation ◽  
The Impact

This article discusses the problem that concerns the impact of cruise ships and drone threats to the commercial operation of the seaport. The author presents the correlation between the issues contained in the title of the publication, while citing information necessary to confirm the thesis. Therefore, an appropriate classification of seaport threats, factors affecting competitiveness and examples of incidents involving drones affecting port security were presented

On Scientific Realism and Instrumentalism in Manoeuvring Target Modelling and Tracking

2011 ◽  
Vol 57 (2) ◽  
pp. 199-208 ◽  
Author(s):  
Mirosław Sankowski
Keyword(s):  
State Estimation ◽  
Scientific Realism ◽  
Traffic Control ◽  
Moving Objects ◽  
Basic Problem ◽  
Estimation Methods ◽  
Tracking Filter ◽  
The Impact ◽  
Made In

On Scientific Realism and Instrumentalism in Manoeuvring Target Modelling and Tracking The basic problem of tracking manoeuvring moving objects (e.g. aircrafts, ships) lies in unpredictability of object manoeuvres, with respect to the time of occurrence, duration and the type of trajectory. In this paper most representative methods of modelling and state estimation techniques applied to Manoeuvring Target Tracking (MTT) are briefly reviewed. Classification of existing approaches is made in the context of realistic and instrumentalistic paradigms of the philosophy of science. A practical example is also given that shows the impact of selecting models and estimation methods on the performance of the tracking filter for Air Traffic Control (ATC) radar.

scholarly journals FACTORS INFLUENCING THE FORMATION AND DEVELOPMENT OF THE INVESTMENT POTENTIAL OF THE ORGANIZATION

2019 ◽  
Author(s):  
Г.Р. Ахмиева ◽  
Х.У.А. Арсаханова ◽  
М.С. Дадаев
Keyword(s):  
Productive Capacity ◽  
Individual Factor ◽  
Factors Affecting ◽  
Financial Capacity ◽  
Factors Influencing ◽  
Intellectual Capacity ◽  
Innovation Capacity ◽  
The Impact

Данная статья посвящена исследованию факторов, влияющих на формирование и развитие инвестиционного потенциала организации. Авторы приводят классификацию факторов по различным признакам. Они подчеркивают, что факторы формирования и развития инвестиционного потенциала организации действуют не изолированно, каждый сам по себе, а системно, что усиливает последствия действия каждого отдельно взятого фактора. При этом воздействие факторов может быть как позитивным, так и негативным. По мнению авторов, важное значение имеет систематизация факторов, влияющих на формирование инвестиционного потенциала организации, в зависимости от видов инвестиционных ресурсов. Исходя из этого, они подразделяют их на четыре группы: производственный потенциал, финансовый потенциал, интеллектуальный потенциал и инновационный потенциал. Авторы считают, что своевременное выявление и учет факторов, влияющих на инвестиционный потенциал организации, позволит решить проблему его формирования и развития. This article is devoted to the study of the factors influencing the formation and development of the investment potential of the organization. The authors give a classification of factors on various grounds. They emphasize that the factors of formation and development of the investment potential of the organization do not act in isolation, each by itself, but systematically, which enhances the effects of each individual factor. In this case, the impact of factors can be both positive and negative. According to the authors, it is important to systematize the factors influencing the formation of the investment potential of the organization, depending on the types of investment resources. Accordingly, they divide them into four groups: productive capacity, financial capacity, intellectual capacity and innovation capacity. The authors believe that the timely identification and consideration of factors affecting the investment potential of the organization, will solve the problem of its formation and development.

The Impact of Missing and Error-Prone Auxiliary Information on Sparse-Matrix Sub-Population Parameter Estimates

Methodology ◽  
2015 ◽  
Vol 11 (3) ◽  
pp. 89-99 ◽  
Author(s):  
Leslie Rutkowski ◽  
Yan Zhou
Keyword(s):  
Sparse Matrix ◽  
Small Body ◽  
Auxiliary Information ◽  
Poor Quality ◽  
Quality Data ◽  
Estimation Methods ◽  
Parameter Estimates ◽  
Population Parameter ◽  
Conditioning Model ◽  
The Impact

Abstract. Given a consistent interest in comparing achievement across sub-populations in international assessments such as TIMSS, PIRLS, and PISA, it is critical that sub-population achievement is estimated reliably and with sufficient precision. As such, we systematically examine the limitations to current estimation methods used by these programs. Using a simulation study along with empirical results from the 2007 cycle of TIMSS, we show that a combination of missing and misclassified data in the conditioning model induces biases in sub-population achievement estimates, the magnitude and degree to which can be readily explained by data quality. Importantly, estimated biases in sub-population achievement are limited to the conditioning variable with poor-quality data while other sub-population achievement estimates are unaffected. Findings are generally in line with theory on missing and error-prone covariates. The current research adds to a small body of literature that has noted some of the limitations to sub-population estimation.

DAMPAK KEBIJAKAN FISKAL TERHADAP KINERJA SEKTOR PERTANIAN DI SULAWESI TENGGARA

2017 ◽  
Vol 1 (1) ◽  
Author(s):  
La Ode Jabuddin ◽  
Ayub M Padangaran ◽  
Azhar Bafadal Bafadal
Keyword(s):  
Fiscal Policy ◽  
Interest Rates ◽  
Agricultural Sector ◽  
Simultaneous Equations ◽  
Poor People ◽  
Land Area ◽  
Factors Affecting ◽  
Historical Simulation ◽  
The Impact ◽  
Direct Expenditure

This study aims to: (1) Knowing the dynamics of fiscal policy and the performance of the agricultural sector, (2) Analyze the factors that influence fiscal policy and the performance                   of the agricultural sector, and (3) Analyzing the impact of fiscal policy on the performance of the agricultural sector. The data used in this study were pooled 2005-2013 data in the aggregate. Econometric model the impact of fiscal policy on the performance of the agricultural sector is built in the form of simultaneous equations, consisting of 7 equations with 25 total variables in the model, 7 endogenous variables, 12 exogenous variables, and 6 variables lag. The model is estimated by 2SLS method SYSLIN procedures and historical simulation with SIMNLIN procedure.The results showed that: (1) The development of fiscal policy in Southeast Sulawesi from year to year tends to increase, (2) The performance of the agricultural sector from the aspect of GDP has decreased, from the aspect of labor is still consistent, in terms of investment to grow positively, and assign roles which means to decrease the number of poor people, (3) factors affecting fiscal policy is local revenues, equalization funds, other revenues, as well as the lag fiscal policy, (4) the factors that affect the performance of the agricultural sector from the aspect GDP is labor, direct expenditure and GDP lag; from the aspect of labor is the total labor force, investment, land area, direct expenditure, as well as the lag of labor; from the aspect of investment is influenced by GDP per capita, land area, interest rates and investment lag; as well as from the aspect of poor people, are affected by population, investments, direct expenditure and poverty lag, (5). Fiscal policy impact on the agricultural sector GDP increase, a decrease in the number of poor, declining agricultural laborers, and a decrease in the amount of investment in the agricultural sector.Keywords: Fiscal policy, the performance of the agricultural sector, the simultaneous equations

Sign in / Sign up

Export Citation Format

Share Document