bluuebunny/crossref_metadata_2025 huggingface dataset:
Analysis and Research of Blockchain Technology in Audit System
Authors: Li Jun
Published: February 2021

Blockchain technology has attracted widespread attention from all walks of life due to its decentralization, openness and transparency, and data that cannot be tampered with. At the same time, it has a good development prospect in the accounting and auditing industries. This article is based on the consensus algorithm research experiment. In the network environment, computers will be attacked in many situations, which may cause unexpected behaviors of the computer and the network. The consensus algorithm can deal with these unpredictable behaviors. The experiment uses a questionnaire survey method, and the survey objects rank the importance of accounting informatization, the necessity and feasibility of applying blockchain technology and other related issues, and different scores form different results. The experimental data shows that it is necessary to analyze and build a credibility guarantee mechanism for audit information systems based on blockchain technology. Each aspect includes its own specific content and details, and an average score is obtained for each category of options. Let’s compare the importance levels of the four factors. The experimental results show that, overall, the average scores of the four factors are between 3.9-4.4 points, with little difference in importance levels. Audit information quality issues scored the highest at 4.37 points, followed by management control issues and security issues at 4.24 and 4.21 points respectively. Although blockchain technology in the audit system is still in the research and development stage, the application of blockchain in the audit industry is a major trend. Researchers are working hard to solve the problems of blockchain storage and confidentiality.
Construction of a Class of Order 8pq (p>q) Groups
Authors: Ma Lijie
Published: February 2021

In this paper, using the knowledge of the properties, group expansion, and number theory of finite groups, the structure of 8pq order groups is given when subgroups are cyclic groups and have normal subgroups of pq order.
Crack Detection under Coating of Flow Passage Parts based on Adaptive Second Generation Wavelet
Authors: Wang Peng , Zhu Hongbo , Li Dongjiang , He Huchang , Qin Chengpeng
Published: February 2021

Cracks under coating of flow passage parts of hydropower station is a very serious fault, which can directly lead to fatigue fracture. This will directly affect the safety of the entire hydropower unit. The array eddy current testing method has been studied, and crack signals are found with a lot of noise. In order to improve the signal quality, adaptive second generation wavelet transform is applied to the array eddy current signal analysis to reduce the signal noise. A test block with some cracks under the coating was tested, and the tiny crack defect with size of 0.13mm × 0.5mm × 5mm was identified. The experimental results show that the array eddy current detection method based on adaptive second generation wavelet transform can effectively identify the cracks under the coating of flow passage components of hydropower station, with high detection accuracy and strong adaptability, and has good engineering application value.
Motivation Structure and Risk Prevention and Control of Youth Participating In Network Mass Disturbances in the Age of “We Media”
Authors: Zhao Jiahuan
Published: February 2021

This paper investigates and studies the motivation structure and risk prevention and control of contemporary youth in network mass disturbances. This study selected more than 1200 college students from 5 colleges and universities in Hebei province as the research objects through questionnaire survey and interview. Network group event is a special group event which is different from the common group event in the field and the subject and object of the event. The results show that the frequent occurrence of network mass disturbances is driven by internal motives and external causes. Based on this, this paper starts from the balance of government, youth and network operators. To explore the construction of a diversified network of mass incidents prevention and control system rational reference Suggestions.
Reform of College English Teaching Model under the Background of Artificial Intelligence
Authors: Gao Hui
Published: February 2021

Computers have been used in teaching for more than 30 years. With the development and productization of artificial intelligence technology to promote the rapid development of education informatization, Artificial Intelligence Assisted Language Learning (AIALL) is also under continuous development. This has also promoted the reform of college English teaching model. Artificial intelligence based on big data has changed the organizational form of teaching, the form of teaching resources presentation, the form of teaching evaluation, and so on. Therefore, it is particularly important to explore the college English teaching model under the background of artificial intelligence.
The Influence of Python on Logical Thinking and Analysis of Teaching Countermeasures
Authors: Li Ke
Published: February 2021

As a programming language that perfectly fits artificial intelligence and big data analysis technology, the Python language is simple and efficient, easy to learn and easy to understand, which can make students focus more on the problem itself than the details of programming technology, so as to effectively improve the students’ logical thinking ability to solve problems. This paper analyzes the characteristics and advantages of Python language, takes the computer network course as an example, and puts forward the countermeasure analysis to carry out Python programming teaching.
Application of Corpus-Based Text Statistics Analyzer in Sports English
Authors: Yu Beibei
Published: February 2021

The link between corpora and ESP is crucial and even more for some time to come, due to the current patterns of academic and professional mobility which create a need for ESP expertise and teaching materials. The problem in Sports English in China since 2004 is the lack of competent teachers and proper-leveled textbooks, which hindered the development of the major of Sports English greatly. This essay discusses four corpus-based online text analyzers to offer statistics of individual texts and vocabulary profile to help English teachers choose proper-leveled texts and modify materials to meet their needs in Sports English teaching.
Judicial Trials in the Context of Artificial Intelligence
Authors: Zhao Heyixi
Published: February 2021

With the development of artificial intelligence technology, the convenience it brings is significant, but it is also limited. The functionality of judicial trials is “subjective” and “irreplaceable”, while artificial intelligence as a new thing has the characteristics of “mechanization” and “programming” [1] Therefore, it is impossible and should not be possible to use artificial intelligence to build a trial stage artificial intelligence replacement. It cannot be reflected in the fact that the essential attributes of the two things deviate from each other, and their forced combination will only lead to the situation of doing their own things. It should not be embodied in the judicial trial agency as a dispute resolution agency. The public’s demands are merely demands on “people”, and the situation of replacing individuals only applies to situations where individuals are insufficient. Therefore, artificial intelligence should not replace judicial trials. The application of artificial intelligence in the judicial field should be limited to alternative jobs.
High Speed Moving Target Tracking Algorithm based on Mean Shift for Video Human Motion
Authors: Feng Zhanwei
Published: February 2021

As an important research field of computer vision, there are a lot of achievements of human action recognition in recent Most of the researches are confined to the daily gentle action of human, such as walking jogging, sitting down. In sports video there were many specific characteristics about human actions, such as the upside pose of human, high speed, moving viewpoint. For human motion characteristics of sports video, a highspeed moving target tracking algorithm was proposed. Mean shift was an effective tracking algorithm, which was employed to track moving object in video, but it loses object frequently when the tracked object in the video moves rapidly. We advanced an approach to tracking object moving rapidly, and it can work effectively when the object was in cluttered environment. Experimental shows that the proposed algorithm can improve the tracking effect of mean shift algorithm and effectively track high-speed moving target.
Hyperspectral Remote Sensing Image Classification Based On Deep Learning
Authors: Jiang Rui
Published: February 2021

In recent years, with the development of science and technology, in order to further explore the world, we have explored and studied remote sensing technology. As a new discipline, teleology has been widely studied and applied in the fields of spectroscopy, informatics, geography, environmental science and urban construction, and has become one of the most active fields of science and technology. However, both classifier and feature extraction are in the shallow level. How to extract deep features and make them more abstract and easy to classify is a hot issue in machine learning field. Therefore, through the study of different classifiers and various special cases, we find that the post-processing method proposed in this paper can alleviate this situation to a certain extent. When the number of hidden layers is 2, the overall classification accuracy of DBN model is higher. Experiments show that this method is better than the traditional deep learning method.
Study on the Marketing Strategy of “7 Days lnn” Based on the New Media Perspective
Authors: Su Lanlan , Fang Shihao , Lai Fan , Cheng Congxi , Duan Xiangyu
Published: February 2021

With the vigorous development of domestic economy and tourism industry & the increasing popularity of mobile Internet technology in hotel industry, the development speed of economical chain hotels is also greatly improved, and the market competition is becoming more and more fierce. As the representative of economical chain hotels, 7 Days lnn is facing severe challenges, but it is also full of unlimited development opportunities. Based on the investigation of the new media marketing of 7 Days lnn, this paper has analyzed the problems existing in the new media marketing of 7 Days lnn, and finally put forward the corresponding countermeasures.
Construction of Employment Ability Simulation Training System in Artificial Intelligence Era
Authors: Li Pinlin , Dou Yingying
Published: February 2021

Artificial intelligence has brought a short-term destructive substitution effect on the employment of college graduates. At present, the lack of employability development in colleges and universities is mainly manifested in four aspects: two-way choice of supply and demand, individual’s growth, vocational education and artificial intelligence environment demand. On the basis of employment intelligent module and as the guidance of individual’s growth needs, this paper constructs a graduate employment simulation training system for different levels, different jobs “work environment”, with the interaction of professional assessment and planning system, employment information intelligent system, career counseling.
Power System Clock Synchronization Method Based on Service Interoperability
Authors: Mei Qin , Wang Yisheng , Wang Ting , Tong Xing
Published: February 2021

With the development of power system in recent years, it is changing from the direction of smart grid. It is forming a system composed of a large number of intelligent devices with multiple features, producing a large number of heterogeneous and related data. However, there is the problem of information closure in the system, because different systems and equipment come from different manufacturers, and based on different standards, there will be information closure between each other. So it has become an important topic for the power industry to establish the relationship and form interoperability. In view of the above problems, this paper first proposes a service interoperability architecture, which is used to solve the problem of information closure and promote the efficient collaboration between multiple devices and businesses. At the same time, in the process of service interoperability, due to the real-time and deterministic requirements of data transmission, this paper studies the IEEE802.1AS clock synchronization protocol, analyzes the delay measurement principle and time synchronization principle in the protocol, proposes a clock synchronization method based on IEEE802.1AS and service interoperability, and proposes an OPC UA based clock synchronization method Finally, the proposed method is proved to be effective in power system.
The Application of Big Data Technology in Network Marketing
Authors: Zheng Xingzhong
Published: February 2021

In today’s Internet technology era, the analysis of big data technology can help marketers better analyze user behavior, user preferences and market hot spots, so that enterprise network marketing programs get better marketing results. Therefore, in the context of big data technology, network marketing should fully consider and plan network marketing countermeasures according to the characteristics of big data. This experiment is carried out in the background of big data technology, analyzes the characteristic details and differences of big data technology in network marketing and real marketing, and summarizes and summarizes the corresponding marketing theory and development as the research theoretical basis. And through big data technology to the network marketing strategy analysis and comparison. Based on the logical relationship reasoning algorithm, this paper constructs the leading network marketing system and marketing strategy in the era of big data by analyzing the development status quo of big data technology network marketing. Experimental results show that using data mining and data analysis technology to analyze customer behavior data, establish the best network marketing strategy and make real-time adjustment strategy, in the enterprise, network community platform, between customers to form a marketing closed loop, in solving the breakthrough of network marketing at the same time to bring higher value to customers.
The Role of Data Mining Technology in Advertising Marketing
Authors: Wang Xinyi
Published: February 2021

With the rapid development of computer and other information technology and data storage technology, more and more data are stored. Data mining technology can process the data in advertising and marketing in a timely and effective manner to obtain potential and useful knowledge and information. As my country’s market economy system is becoming more and more complete, and science and technology continue to advance, TV advertising has become a major communication tool for economic activities, and the TV advertising industry is booming in our country. Based on the premise of advertising marketing and data mining theory and technology, this article applies data mining technology to all aspects of the advertising marketing process. This article is based on the initial data segmentation of advertising and marketing. First, it analyzes the shortcomings of the commonly used k-means algorithm and fuzzy average algorithm in the clustering effect, and then proposes a fuzzy average algorithm based on the modified membership function and analyzes its effectiveness. And on the basis of this algorithm, analyze its role in advertising and marketing. This thesis takes the basis of advertising marketing and the technology of data mining theory as the premise, and applies data mining technology to all aspects of the advertising marketing process, especially using data mining technology to analyze and study the program ratings and characteristics. The experimental research results show that through the above analysis of data mining technology and data mining advertising and marketing, we clearly realize that advertising and marketing after people’s location services are more than just finding the right people at the right time to push the most correct advertising and marketing services. The role of advertising and marketing based on Web data mining technology strengthens the interaction between users and enterprises.
Construction of Shipping Linked Data Lifecycle Model and Its Application in Semantic Navigation
Authors: Liang Yiduo
Published: February 2021

As one of the most important government data assets, shipping data has attracted more and more attention from stakeholders. The term linked data refers to a set of best practices for publishing and linking structured data on the web. The application of linked data technology to open the shipping data can promote the transparency and reusability of data. Many shipping data have been placed on the network as linked data. However, the existing construction of shipping linked data does not consider the concept of lifecycle, and the concept of lifecycle naturally lies in the link data itself. Therefore, this paper attempts to propose a linked data lifecycle model to assist in publishing shipping data as linked data on the Web. We first conduct a systematic analysis of the typical lifecycle model. On this basis, a new linked data lifecycle model is proposed, and the role of each step of the model is also explained. In particular, we take domain modeling as the first step of the model and discuss the key role of it in publishing linked data. Taking the voyage data as an example, we show in detail how to use the proposed model to construct shipping linked data. Then, a specific semantic navigation case based on the above data is given to prove the added value of the linked data. The results show that the lifecycle model proposed in this paper is suitable for the publication of shipping data and is convenient for future expansion and maintenance.
CG Technology under the Film Scene Art
Authors: Yang Lun
Published: February 2021

Since the 21th century, the film had completely entered a digital world. Computer Graphics was involved in all of a filmmaking, give an infinite space to image and is bring more convenient that filmmaking efficient. Film scene is gradually into a virtual age when digital times developing, as an important role in film space. Computer Graphics break the limit of traditional scene-making, and create more complicated scenes design, it pour fresh blood into scene art, expansion the thought of filmmaking and nice process.
Creation and utilization of straightness standard due to reciprocal measurement of linear stage
Authors: Furutani R , Yamaguchi K
Published: February 2021

In general, profile measuring machine consists of a displacement sensor and movable mechanism. However, as the movable mechanism has profile errors, the output of displacement sensor includes the profile error of the movable mechanism. Therefore, it is necessary to distinguish the profile error of the movable mechanism from the output of the displacement sensor. So we propose a new way to distinguish the profile of object from movable profiles. The new method requires two linear stages and the displacement sensor. Two stages can move and locate independently, and displacements are measured at every location. The profile of object is calculated from the output of displacement sensor. Finally, the pre-known profile was measured by the proposed method, and the result is compared with the pre-known profile.
Application of the hereditary creep theory in assessing the effect of temperature influence on the strength of carbon fibre plastics
Authors: Gadolina I , Berezin A , Maidanov I , Smelov S
Published: February 2021

One of the problems, which engineers face in using of carbon-reinforced composites, is the large scatter of the strength characteristics. To diminish scatter the method of the merger of tests results under varied climatic conditions might be applied. The aim of this merge is diminishing the scatter of the strength test results, and therefore improving the strength estimation accuracy. It is also in connection with the problem of the impact of climatic changes on the material properties. The climate impact is significantly larger in composites than in metals. To deal with those two problems the heredity mechanics developed earlier by Russian academician Ju. N. Rabotnov and his successors has been applied. The developed earlier modification of this theory, related to climate influence, has been applied to the problem of experimental data merger, obtained under varying temperatures, into one generalized set. For consideration of the orthotropy properties which are specific for reinforced composites, it was proposed the experimental investigation of the specimens cut in three different directions. The Rabotnov’s heredity equation should be written in tensor form. The property of viscoelasticity, which is inherent for carbo-plastics materials (especially under the elevated temperatures), is utilized in the decision of this problem. Experimental data and results of the model application are presented.
Nanomaterials of Fe, Al and Ti, in the reduction of potentially reactive basalt aggregate in Portland cement dosages: deposition of coatings by plasma
Authors: Alberti E L , Mazur M M , Portella K F , Bragança M D G P , Pianaro S A
Published: February 2021

The mitigation of the effects of the alkali aggregate reaction (AAR) in cement mortars and concretes, with the addition of nanomaterial based on Fe, Al and Ti, on reactive aggregates was investigated. The coatings were prepared by the plasma technique. For this purpose, a rotational system was designed to obtain continuous nanometric films. The addition of metal-based nanomaterials and their metallic oxides (Fe, Al and Ti) helped in the reduction of the AAR process, by the formation of nanoclusters with potential reduction of the effects of the aggregated alkali reaction. This occurs by the modification of the degree of wettability of the interface or even a possible chemical interaction of the deposited films with the reactive components of the rock, eliminating the contact of the alkalis of the cementitious paste with the reactive silica of the aggregates.
Random processes imitation in the problem of fatigue under variable loading
Authors: Makhutov N , Gadolina I , Dinyaeva N
Published: February 2021

There is strong evidence, that the extrema and their sequence play a major role in metal fatigue. Due to this random testing with extrema control might be preferable, compared with the testing with generating by the spectral densities. The method is proposed allowing to generate random processes with the stable integral characteristics of cumulative distributions, and at the same time, being random by their nature. The algorithm consists of two steps. The first one is creating the random sequence of extrema, basing on the target Markov matrix, filled up on the base of the loading process, recorded during exploitation. The next step is the creation of the random process with its continuous first derivate. The special concatenation procedure was proposed and had been proved to create the continuous function reconstruction out of the point-wise specification (local maximums and minimums sequence). To judge the frequency content a regression analysis of two random variables was performed. The obtained continuous process might be undergone by the spectral analysis to get the spectral density function, which might be required in applying some methods for random fatigue estimation. The main trait of the proposed method is the coincidence of the rain-flow cycle counting characteristics of the initial and the resulting processes.
Recycling of waste glass fiber-reinforced plastics using pyrolysis with KOH
Authors: Miyazawa M , Wajima T
Published: February 2021

Glass fiber-reinforced plastics (GFRPs) are composite materials with high strength and flame retardancy; however, their disposal process is expensive, causing illegal dumping. Herein, recycling of waste GFRPs using pyrolysis with KOH under an inert atmosphere was attempted by the gasification of resin and conversion of glass fibers into soluble silicate. The pyrolysis behavior of the GFRP, characteristics of the obtained residue, composition and yield of the generated gas, and extracted amount of silica in the solution obtained using KOH were investigated. The results indicated that the gasification of the resin and conversion of the glass fiber into soluble silicate were promoted by pyrolysis with KOH. With an increase in the heating temperature, KOH addition amount, and heating time, the yield of gases, especially flammable gases (H2 and CH4), and the extracted amount of silica increased, whereas the residual rate decreased. The amount of silica extracted using 1 M HCl is higher than that extracted using distilled water. Compared with those obtained using NaOH, the yield of gases and specific surface area of the residue achieved using KOH are superior, while the extracted amount of silica obtained using NaOH is higher than that acquired using KOH.
Analysis and application of construction pre-set deformation value of inclined high-rise steel structures
Authors: Li Qingjian , Liu Xuewu , Hou Yawei , Li Bo
Published: February 2021

For an inclined high-rise steel structure, for example, the new headquarters of China Central Television (CCTV), if the structural members are manufactured and erected according to the Structural Design Configuration (SDC), it may lead to a considerable deviation between the structural construction completed configuration and the SDC because of its continuously inclined deformation during the installation. And surely it is impossible to connect the cantilever accurately without taking Pre-set Deformation Value (PDV) for structural members during the erection. This paper introduced the concept of the PDV, which includes manufacture pre-set deformation value and erection pre-set deformation value. A new computational method, namely two stage comprehensive iteration method, to determine PDVs of the new CCTV headquarters is proposed. A number of numerical results are obtained which have been used as guidelines for the construction of the new CCTV headquarters.
Analytical evaluation of transformation matrix between functional spaces and its application in obtaining exact solutions of thermo-mechanical stresses in disks
Authors: Antashvili L , Namicheishvili T , Tavadze G , Dalaqishvili L
Published: February 2021

Thermo-mechanical stresses developed in a disk, inner boundary of which is subject to the nonstationary thermo-mechanical loadings due to variation in temperature and pressure inside the disk is considered in the presented paper. Problems of theoretical analysis are divided and described as follows: The first problem implies analytical solution of the heat conduction equation with nonhomogeneous boundary conditions of Robin type, and the second problem deals with obtaining analytical solution of dynamic equation of displacement for nonisothermal elastic body (Navier equation) with traction boundary conditions in the plane strain case of uncoupled thermo-elasticity. Finite Hankel transform is used to solve the problems. Two sets of orthogonal basis functions necessary for integral transform are obtained. The first one corresponds to the boundary conditions written for the heat conduction equation, and the second fits the boundary conditions for Navier equation. Integrals defining elements of transformation matrix between the two sets of basis functions are evaluated analytically. In general, convenient method of obtaining analytical solution of linear hyperbolic equation with nonhomogeneous term, which itself is solution of nonhomogeneous parabolic equation, is elaborated within the presented work. Using finite difference method, discrete counterparts of the described problems are constructed and, via the built-in ordinary differential equation (ODE) solvers in MATLAB, numerical solutions are obtained, which exhibit excellent accordance with analytical ones.
Effect of ambient temperature and heating time on high-power LED
Authors: Peng D S , Liu K L
Published: February 2021

LED is widely used in various fields as a new style of light sources. Today the efficiency of LED electro-optical conversion is only 20%, and the rest of energy release in the form of heat, which is generating higher junction temperature. The junction temperature rise will cause serious thermal problems and affect the performance of the LED. In this paper, we mainly focus on the research of the thermal problem of the high-power LED. The result shows that the junction temperature and thermal resistance of the R and G-based LEDs increase with the increase of the ambient temperature and the heating time. This leads to an increase in operating current, ambient temperature, and usage time during operation of the high-power LED, which causes the low luminous efficiency of the LED, thereby increasing the amount of heat generated, which easily causes aging of the device and permanent light decay. Therefore, reducing the thermal resistance and junction temperature in the previous LED design will greatly help the thermal and optical improvement of the LED.
Study on progressive collapse resistance of single-layer reticulated shells
Authors: Han R , Yin T Y , Yang X D , Zhang Y , Zhang Y S , Ju J S
Published: February 2021

In order to analyze the progressive collapse resistance of single-layer reticulated shells, the finite element model of single-layer reticulated shell structure was established by ABAQUS software, and the method of removing key component constraints was used to simulate the progressive collapse resistance of the single-layer reticulated shell structure. The results show that the removal of the key components can cause the continuous failure of the upper members of the reticulated shell, and then lead to the progressive collapse of the whole structure.
Modeling and analysing of spring-loaded double parallelogram mechanism using moment balance
Authors: Fong S , Leong P K , Min H N , Leong P C , Hu Z G
Published: February 2021

Double Parallelogram Lifting Mechanism (DPLM) is a multi-linkage mechanism adopted as the lifting mechanism of the designed robot in this paper. DPLM is designed based on Double Parallelogram Mechanism (DPM), making it a compact and stable multi-linkage mechanism with a low retracted height and a great working height. This paper investigates the condition in which DPLM obtains static equilibrium at any height using Hookean springs and the minimization of the motor’s required torque exertion against the gravitational moment of the weight of the mechanism. A mathematical model describing all the factors involved in moment balancing of DPLM is derived and established in MATLAB and is verified through experiments with a virtual prototype conducted in SOLIDWORKS. The obtained results show that the magnitude of the moment exerted by the tension of a spring can be determined not only by its exact installation positions but also by its D value, which is the difference in the distances between the two installation points of a spring and their respective rotation axes. An optimization method based on minimizing the RMSE of the unbalanced moment for DPLM is introduced.
Determination of true stress strain characteristics of structural steels using Instantaneous Area Method
Authors: Ho H C , Xiao T Y , Chen C , Chung K F
Published: February 2021

This paper presents recent research findings on true stress strain characteristics of normal strength S275, S355 and high strength S690 steels to EN 10025:2005. It aims to provide generalized constitutive models for analysis and design of steel structures. Comprehensive experimental and numerical investigations into mechanical properties of the structural steels have been carried out based on test results of nine monotonic tensile tests. Non-uniform stress and strain distributions within the necked region are found when the test coupons are under very large deformation. After corrections to the stress and strain non-uniformities by Instantaneous Area Method with successive approximations, true stress strain characteristics of the tested steels were successfully quantified as generalized constitutive models. Moreover, the microstructures of the typical structural steels haven been carefully examined, and their microstructural constituents are successfully quantified by Digital Image Analytics. The research findings are very important for subsequent numerical investigations into the structural performance of steel structures under very large deformations up to fracture. The authors are grateful for the financial supports from the Research Grants Council of the Government of Hong Kong SAR, and the CNERC for Steel Construction (HKB).
The problem of applicability of computer-aided design systems in the production of elements of hydraulic units
Authors: Nesterenko E N , Nesterenko P S , Tchigirinsky Ju L , Egunov V A
Published: February 2021

This article is devoted to the problems of organizing digitalized production of elements of hydraulic units, namely, ensuring the applicability of CAPP systems for automated design of technological processes for manufacturing parts of this class. The analysis of the existing CAPP systems used in the design of technological processes, as well as the main problems arising from the use of these systems in the manufacture of elements of hydraulic units. The article considers the technique of applying the theory of graphs to represent the technological process in the form of a structural-temporal table, which considers the process of forming the required quality of a product in the form of a transport network. The article proposes an original method for compiling adjacency tables, which allows to determine the optimal route and processing modes based on information about a specific workpiece and requirements for the final product, which can be used as the basis for the algorithm of the CAPP system functioning.
The program of advanced empirical research based on formalization of system-object method of knowledge representation
Authors: Deeney I A , Klyuchnikov D A , Shurukhina T N , Gavrilova T A , Zhikharev A G
Published: February 2021

The program of advanced empirical research described in the article reflects relevant linguistic and IT methods for monitoring the language situation in a selected aspect (political, social, lingvocultural), as well as for studying language changes, taking into account the development of the current sociopolitical situation in the world. The presented results, the program of advanced empirical monitoring itself, the principles of organizing the mental structure have a certain theoretical significance, since they can be used in scientific research of this and relevant format, taking into account the adaptation of their principles. The resources obtained in identical studies in diachrony will allow to determine the dynamics of semantic modifications in the future and outline the prospects for scientific forecasting. In the applied aspect, it is possible to introduce the results of research and development into the educational process in the form of an information resource and didactic virtual development, which will contribute to solving the problem of intercultural competence. The base developed in the project aims to provide the most complete and objective data on linguistic changes and indicate unchangeable units in lingvoculture, which will become a verbal monument of the state of the language system for the period under consideration.
Development of the patent array analysis module based on the “Problem-Solution” model
Authors: Kochura O A , Korobkin D M , Fomenkov S A , Kolesnikov S G
Published: February 2021

In the modern world, there is a description of many technical solutions in different types. A patent is one of these types. Analysis of the patent array based on the “Problem-Solution” model allows not only to analyze existing technical solutions, but also to improve the characteristics of individual elements of a technical object and, accordingly, the technical object (TO) itself. To do this, you need to detail the structural-functional structure of the TO, i.e. define the elements (components) of TO and the functions of the TO elements. To extract descriptions of functions of a technical object, we use the semantic construction “Subject-Action-Object” (SAO). If “Action” is an attributive verb, such as “reduce”, “improve”, “increase”, etc., then “Subject” can affect “Object” as a problem or need. The SAO structure can be organized in the “problem-solution” format, where the “Object-action” (AO) forms the problem or need, and the “Subject” (S) sets the solution. Structured data will be extracted from natural language text using the Yandex Tomita-parser technology. Then, after all the procedures, it is advisable to fill the database with the information obtained for convenient analysis and search.
Cloud platform for smart product-service systems
Authors: Gribova V V , Velichko A S
Published: February 2021

The paper deals with the problem of decision-making support for digital production planning. The analysis of the stages of organization and production planning currently is poorly represented in existing software solutions. Main stages of digital production planning are identified such as optimization of manufacturing placement; optimization of suppliers selection of resources and its delivery to the place of manufacturing. Taking into account the conditions of the modern stage of development of technologies for the digital production, we can identify the key requirements for the functionality and use of the software platform. The formalization (ontology) based on the approach of production and operational management and the architecture of a digital cloud platform and its functional modules has been developed for the digital production planning process. It is a decentralized platform as a public network consisting of independent software modules (cloud services), connected into a tool with expandable number of modules. The software tool consists of production-planning unit and production-management support unit. Currently, a number of modules of the system have been developed and experimentally tested; now we are developing the full-featured tool.
System-objective representation of conceptual knowledge with description logic
Authors: Matorin S I , Zhikharev A G , Mikhelev V V
Published: February 2021

The paper describes the possibilities of applying the system-object approach “Unit-Function-Object” in terms of descriptive logic for describing conceptual knowledge. Conceptual knowledge is represented using a hierarchy of conceptual systems. The syntax and semantics of the descriptive logic ALCOIQ and SHOIQ were described. These allow us to justify the structure of the hierarchy of class systems and the mandatory implementation of the principle of monocentrism for conceptual systems. The concepts of “volume” and “content” of systems-classes were introduced. The results allow us to improve the existing ways of presenting conceptual knowledge, as well as develop models of conceptual knowledge that reflect the systemic reality that exists when solving classification problems.
The Edgeworth-Pareto principle in the case of IT2F preference relation
Authors: Baskov O V , Noghin V D
Published: February 2021

The multicriteria choice problem is considered, which includes a set of feasible alternatives, a vector criterion defined on this set and a fuzzy preference relation of the decision maker. It is assumed that this relation is an interval type-2 fuzzy relation. For this problem, a set of nondominated alternatives is introduced, certain axioms of reasonable behavior of a decision maker in the decision-making process are formulated, and the Edgeworth-Pareto principle is established, according to which the best choice should be made only within the Pareto set.
Development of an intelligent system for environmental monitoring of atmospheric pollution
Authors: Matytsyna D A , Protsyuk M P , Tokarev K E
Published: February 2021

In the course of the work, the systems modeling the dispersion of pollution were considered, where, based on the theoretical analysis of their characteristics and properties, the “Calpuff” model was chosen, which is most suitable for modeling air quality in urban areas. As a calculation model of emissions near roads, the Russian “Methodology for determining emissions from motor vehicles for conducting summary calculations of urban air pollution” was chosen. Developed a process for the preparation of the data on pollution from road transport for the system modeling “Calpuff”. In the high-level object-oriented language Python, a calculation module has been developed that performs the functions of storing, hourly averaging of pollution and generating the lnemarb.dat file of the “Calpuff” model. A graphical interface has been developed for the user of the software module.
Development of methods and means for adapting an electronic interface for people with disabilities
Authors: Kuznetsova A S , Gilka V V , Gorbacheva V V , Rozaliev V L , Okoroji Duke F CH
Published: February 2021

The social policy of the state is for the most part aimed, at people, without any physical deviations. The needs for people with disabilities can be roughly divided into two groups of needs: those characteristic of ordinary citizens and the needs that cause illness. The development of these information technologies is a particularly valuable tool for people with disabilities; they can improve their quality of life. Despite the fact that there is still an acknowledged digital divide, it is now much smaller. For large numbers of people with disabilities, information technology is essential to develop the basic literacy and numeracy skills needed to participate more fully in society. For people with individual learning needs information technology is applicable to integrate into society through the process of socialization and control of unacceptable behavior.
An approach to solution of constrained clustering problems using the constraint programming paradigm and the multiset theory
Authors: Zuenko A A , Fridman O V , Zuenko O N , Zhuravleva O G
Published: February 2021

An integrated approach is proposed to solve the Constrained Clustering problems which are oriented on taking the opinion of a group of experts into account. A cluster and the objects to be clustered are proposed to be represented as multisets, and the distance between these to be determined by metrics in the Petrovsky multisets space. The approach is implemented within the Constraint Programming paradigm. In so doing, the significant complexity is in organizing effective processing the qualitative constraints, namely, the rules for assigning the objects to one or different clusters. The qualitative constraints are proposed to be represented and processed as table constraints of a new type, i.e., as the smart-tables of D-type. The main attention is confined to the problem of how to reduce the amount of constraints and how to simplify the Constrained Clustering problem. It is proposed to generate constraints for some pairs of objects rather than for all of them, with the generation based on a priori interval estimation of the optimal value of the clustering criterion. To do that, a modified method of multisets hierarchical clustering has been proposed. The approach proposed allows a global optimum to be found for the Constrained Clustering problems considered.
Analysis and classification of X-ray images on the basis of intelligent agents in distributed systems
Authors: Tomakova R A , Egorov I S , Tomakov M V , Korsynskiy N A
Published: February 2021

The purpose of the research is to create new informative Internet technologies that would provide creators of intellectual research systems with available information for constructing training and control samples. An information and diagnostic system based on the formation of a unified structured knowledge base, which is intended for the analysis and classification of X-ray images, is proposed. Research methods for the developed information technology for the synthesis of X-ray classifiers are “the Interior”. The Interior can be presented as a computer program, an autonomous Interior agent, which allows interactively carrying out research on meta-analysis of the classifiers efficiency. The function of the Interior is to build an X-ray classifier with the connection of many users with different databases.

The result of the research is the formation of a unified structured knowledge base. The basis of the Interior is a DBMS containing: image files, files of marks of morphological formations, files of personal data, files of meta-analysis results, and files of classifiers. Integration into interiors-associates allows you to build a distributed system of intelligent agents. Based on this system, it becomes possible to form classifiers for global use, as well as to carry out a meta-analysis of the diagnostic procedures effectiveness.
Simulation of processes in machines using orthogonal meshes
Authors: Gromov E G , Gorobtsov A S
Published: February 2021

The paper presents an experience of using orthogonal hexahedral meshes for simulation of different processes in machine-building products. Stress state of the details of suspension of a cargo vehicle during the movement on random road profile was simulated. Orthogonal hexahedral meshes for lower suspension levers and housing and piston rod of shock adsorber were used. Thermal state of the elements of drive axle and its housing during the movement of a cargo vehicle with constant speed was calculated using hexahedral orthogonal meshes for details and inner volume of housing of the drive axle. Lubrication fluid circulation in the reducer of a cargo vehicle was modelled. Orthogonal mesh for inner volume of the reducer was used to calculate the parameters of lubrication fluid circulation.
Assessment of current state of Modernist building heritage of Skopje in terms of sustainability, energy efficiency and authentic appearance degradation
Authors: Dimevska L , Cvetkovska M , Gavriloska A T , Lazarevska M , Knezevic M
Published: February 2021

Skopje has unique examples of modernist architecture that play a major role in creating the new identity of the city, which was completely lost after the earthquake in 1963. In the last decade, awareness has been raised that modernist buildings deserve to be protected as cultural monuments. On the other hand, concerning energy efficiency and sustainability aspect, they were built without thermal insulation and thus have extremely poor thermal properties. In order to improve the energy efficiency, retrofit interventions are constantly being implemented and their authentic appearance have been changed. Many buildings have already been changed to an unrecognizable stile which threatens the overall architectural identity of the city. Therefore, systematic research has been done on 50 valuable buildings from the period of Modernism in Skopje. The buildings are selected according to their architectural, structural and cultural-historical values. They are analysed from following aspects: construction, building materials, thermal properties, function, cultural heritage protection, level of authenticity degradation, preservation and retrofit measures. The purpose of this paper is to define the most common types of buildings, which are in same time the most problematic in terms of energy efficiency, sustainability and authentic appearance.