EFFECTIVE METHOD OF DESIGNING CAD MODELS WITH LATTICE STRUCTURE
N.V. Tsipina, O.N. Chirkov, S.A. Slinchuk, I.V. Cheprasov, V.A. Madesov
This article shows how important it is to develop a convenient and simple method for designing lattice parts in production. The purpose of the entire experiment is to observe, analyze and solve problems in the design of lattice structures. The performance of modern tools of computer-aided design (CAD) systems was also evaluated. All the disadvantages and positive aspects of the developed method are indicated. The considered design method allows designers to choose the right lattice structure and its density. An essential part of this proposal is the use of equivalent lattice materials. This approach eliminates the need to design lattice-based CAD models and shortens the simulation time for FEMs. This methodology may be applicable in determining equivalent materials for other lattice structures. Equivalent materials also reduce FEM simulation time. The performance of modern tools of computer-aided design systems was evaluated to determine whether they adequately meet the requirements of additive manufacturing. The results show that modern CAD systems do not allow you to easily and quickly design lattice structures for additive manufacturing. It is necessary to develop modern CAE software to conduct finite element method analysis on a 3D lattice model.
Keywords: lattice structure, CAD software, finite element method (FEM).
ESTIMATION OF CAD CHARACTERISTICS IN THE CONTEXT OF DESIGNING MODELS WITH LATTICE STRUCTURE
N.V. Tsipina, O.N. Chirkov, S.A. Slinchuk, I.S. Bobylkin, E.I. Vorobiev
This article assesses the current characteristics of computer-aided design (CAD) systems in the context of the design of models with a lattice structure. During the design of the experiment, three variables were selected, two lattice structure templates, rods of lattice structures with two different sections and four sizes of parts were designed. The purpose of the whole experiment is to observe the problems that the user encounters when designing lattice structures in CAD software, as well as to determine the effect of the type and size of lattice structures on file sizes and whether modern file formats are suitable for the requirements of additive manufacturing. The obtained experimental results show that it is difficult to design CAD models with a lattice structure, since this process takes a lot of time and creates large files. In some cases, the program could not perform the desired operation. New requirements for the design of parts for additive manufacturing lead to new needs in computer-aided design. New research is needed to determine the most reliable and efficient methods for designing lattice structures in CAD software.
Keywords: CAD features, additive manufacturing, octet farm, cubic lattice structure.
STUDY OF THE EFFECTIVENESS OF VARIOUS CONTROL ALGORITHMS TO ENSURE THE PROTECTION OF QUEUES FROM CONGESTION IN RESOURCE RESERVATION SYSTEMS
Controlling network congestion is a very urgent task while securing queues in resource reservation systems. This is one of the key elements, as many controllers were introduced to control overload to solve the problem. This article analyzes the impact of network workload on the performance of various active queue management controllers, including the traditional Drop Tail controller, to ensure that queues are protected from congestion in resource reservation systems. This paper presents an analysis of four possible scenarios with the same network parameters except for the network workload. The performance of each controller is measured using various performance metrics. The effect of network traffic load on the performance of network controllers can be easily observed in the four presented scenarios. The behavior of all controllers clearly indicated the effect of network traffic load on their performance. The results showed that the load on network traffic is directly proportional to bandwidth, packet loss and delay. The results can be used to create fault-tolerant resource reservation systems.
Keywords: workload, network, queues, controller, resource reservation.
MODIFICATION OF NEURAL NETWORK MODEL RKELM
WITH ADDITIONAL TRAINING
Y.A. Asanov, S.Y. Beletckaya
The aim of this work is developing of an artificial neural network model (ANN) capable of working in dynamically changing conditions. Despite a large number of research and development in this sphere, there are still no models that satisfy the limited resources of mobile systems (primarily – performance). This article proposes a developed modification of the Huang Extreme Learning Model, which differs from the original approach in the training process – training on common conditions, without increasing the weight matrix and the training sample, followed by further training for specific conditions. As a test sample of data, a dataset from the open source machine-learning repository UCI was used. Vast experiments were performed, the purpose of which was to identify the most suitable model, the choice was made from RKELM, SVM and ELM. The selection criteria for the model were performance and classification accuracy. The model with extreme training of Huang turned out to be the most suitable, it was used as the basis of the developed modification. The results of comparing the original and modified models are presented. The proposed approach surpassed the competition in speed and performance, while only slightly inferior in accuracy of data classification in the initial conditions, but turned out to be much more accurate in the new conditions in which the model was not trained.
Keywords: artificial neural network, RKELM modification, model with an additional training.
FORECASTING TIME SERIES USING EVENT BINDING
This article discusses the concept of modification of the time series analysis method, focused on integration with clustering methods in real-time training mode. Various methods of forecasting time series and machine learning are analyzed. The method described in the article predicts the behavior of the time series based on large data obtained from various sources and associated with existing transactions in the time series. This approach makes it possible to find the dependence of changes in certain indicators of the considered systems depending on various events. The performed research offers the concept of automated system training in real time with the possibility of further software implementation. The concept under consideration allows you to build forecasts for any time series, depending on various events, news and data that are in the public domain. An approach is proposed that links events to a transaction chart. The advantage of this approach is the ability to find various dependencies between events and various changes in indicators, for example: prices on exchanges, values of social indicators and many others.
Keywords: data analysis, forecasting, time series, big data, cluster analysis, data mining.
METHOD OF VERBAL ANALYSIS OF SOLUTIONS FOR THE SOFTWARE SELECTION FOR CUSTOMER RELATIONSHIP MANAGEMENT
E.S. Egorova, N.A. Popova
The relevance of the article is due to the existing difficulty in making decisions in the process of choosing software products that automate business processes of enterprises, including customer relationship management. Therefore, for a diverse analysis of systems, it is proposed to use a two-stage methodology for a formalized assessment of the functionality of software and systems. At the first stage, the results of a multivariate analysis of customer relationship management software are presented. During the criteria-based assessment, the functional and instrumental characteristics necessary for products of this type were selected. The results of the analysis showed that using this approach it is quite difficult to make a decision on the choice of a product, since all systems have approximately the same sets of functional capabilities. At the second stage of the study, in the process of determining the optimal system, it is proposed to use the method of verbal analysis of solutions to find the best alternative. As a result of a formal analysis of systems using the developed software application, a potential leader was identified among the systems under consideration, however, further research involving an expert and comparing all pairs of systems according to their strengths and weaknesses made it possible to distinguish another alternative among customer relationship management systems. The method of verbal decision analysis based on the opinion of experts in the field of design allows you to choose the most effective tool in a specific industry area, and the developed software application allows you to optimize the work of analysts.
Keywords: verbal decision analysis method, software, customer relationship management, CRM system, formal analysis of a set of initial alternatives, scale of normalized ordered differences.
MODEL HELICOPTER-TYPE AIRCRAFT LANDING CONTROL
ON AN UNPREPARED SNOW-COVERED AREA
V.G. Mashkov, V.А. Malyshev
The article is devoted to research in the field simulation helicopter-type aircraft landing. The analysis the standard means landing, installed on helicopter – type aircraft at the present time showed that in Arctic conditions they are not able to provide the crew with information about the underlying surface (landing site), in particular, the depth snow, the slope the earth’s surface under the snow cover, the presence obstacles. Simulation the process controlling the landing a helicopter – type aircraft on an unprepared site with a snow cover with the proposed radar landing system showed that the task can be successfully solved. To do this, the underlying surface (landing site) is probed and information is given to the crew about the possibility landing, or lack thereof, comparing the measured values with those specified for a particular type aircraft. The logical information model, reflecting the automation the management process fit with the purpose increasing the probability correct site selection as an indicator safety landing an aircraft the helicopter type, by radar determine the parameters and characteristics plane-environments, depth snow cover, obstructions and slope the earth’s surface the landing site. The use the model is possible in the development radar systems to ensure the safe landing a helicopter – type aircraft on an unprepared snow-covered area in conditions insufficient information about the underlying surface the cabin space.
Keywords: plane-medium, subsurface sensing, landing of the helicopter, a landing place, an unprepared area.
APPROACH TO ESTABLISHING A DECISION MAKING SYSTEM OF RESOURCES DISTRIBUTION FOR AUTO TRANSPORTATION COMPANY
S.Y. Egorov, H.S. Salih
One of the primary tasks of economics is to improve methods of the optimal distribution of company resources.The article proposes an approach to creating a decision-making system for managing the distribution of transport and technological vehicles of an auto transportation company across its construction sites. As an example, we consider a truck company that has an extensive fleet of freight vehicles and specialized vehicles for construction work.To implement control mechanisms based on the use of operational data from construction sites, a resources management model is proposed, which is characterized by the implementation of flexible feedback.We developed an algorithm for generating managing actions in a feedback-based control system that minimizes the costs of am auto transport company when solving a set of tasks for distributing the company’s transport resources to remote objects.The approach is based on coordinating the implementation of projects according to the network plans that were built, taking into account the vehicles’ technical condition. Coordination of solving the problems of production and technical operation of a transport vehicle fleet allows us to make informed decisions on the use of the vehicles and helps to increase the overall technical readiness of the fleet. That, in turn, leads to an increase in the efficiency of the entire company and provides a less costly solution to large governmental projects.
Keywords: resource distribution, system for support of decision-making, network planning, monitoring.
CREATION AND PRACTICAL IMPLEMENTATION OF THE CONCEPT
OF CONTINUOUS LIFE-CYCLE MANAGEMENT OF ELECTRONIC EDUCATIONAL RESOURCES
UDC 378, 004.942
M.V. Deev, A.G. Finogeev, A.A. Finogeev, I.N. Kolesnikov
The article analyzes the problems of life-cycle management of electronic educational resources. To solve them, it is necessary to develop a system for managing and supporting the life cycle of educational content. The aim of the work is to create a comprehensive scientific approach to the intellectual management of the stages of the life cycle of electronic educational resources with adaptive tuning to the changing requirements of standards and employers. As part of the development of the concept of managing the life cycle of electronic resources, it is proposed to develop a management model based on a detailed analysis of the life cycle model of educational content, as well as a set of indicators and an integrated assessment of the life cycle of electronic resources. The model describes the input parameters and external influences that affect the process of resource development from the beginning of development to decommissioning, the resources involved, as well as output results. The proposed indicators and integrated assessment will assess the effectiveness of the process of managing the life cycle of educational content. The developed system provides continuous management of the life cycle of electronic educational resources, adaptive updating of educational content and is included in the composition of the Smart Learning Environment, which allows to reduce costs in developing resources and to qualitatively improve educational material.
Keywords: management, CMS, life cycle, electronic educational resource, intellectual educational environment, management scheme.
A METHOD AND A TOOL FOR INFORMATION GATHERING IN ONLINE TRAINING PROCESS MANAGEMENT BASED ON AUTOMATED COMPLEX OPEN ENDED ASSIGNMENTS SCORING WITH THE USE OF ERROR BANK
V.A. Latypova, V.V. Martynov
It is possible to monitor training process using different statistic reports in learning management systems and massive open online course platforms. Online training process can be managed effectively by means of analytics applications. Analytics is based on gathered information. Problems can occur during information gathering if an online course contains complex open ended assignments, assignments which can’t be checked using tests. There are methods among the existing methods which allow to gather information effectively: situational assignment and special methods for specific domain. The methods allow to get reliable and complete information for management purposes. But the methods are not universal. Their usage is limited to open ended assignment type and domain. There is a need to develop a method for every specific task if situational assignment can’t be used and there is no special method. A universal information gathering method based on automated complex open ended assignments scoring with the use of error bank is suggested in the paper. A tool was developed and implemented in training process in Ufa state aviation technical university from 2013 till 2019. The usage of the method and the tool allowed to increase information gathering effectiveness in online training process management in complex open ended assignments implementation.
Keywords: online learning, training process management, complex open ended assignment, information gathering method, error bank.