Software Module Development for the Parametric Generation of Truss Structure Geometry in a Two-Dimensional Setting

Introduction. Truss structures are widespread in construction due to a number of advantages, such as economy, versatility, and scalability. Accordingly, their modeling and calculation are urgent tasks in the design of building structures. Automatic solution to these problems causes an increase in design efficiency, calculation accuracy, and lower costs. The objective of the study is to examine the functionality and operation algorithm of the software module developed by the authors that generates the geometry of two-dimensional truss structures for subsequent modeling.Materials and Methods. Following the research of the widespread truss configurations, the classification of chords available in the software under consideration is given. The method of parameterizing a truss structure is provided. This method includes base geometric parameters of the structure such as dimensions, model construction rules, and additional features, as well as a comprehensive algorithm. The software is developed in JavaScript.Results. The software module has been integrated into a web application for calculating two-dimensional rod structures. To illustrate the functionality of the software, the examples of user interface are given as well as an example problem. The example includes configuration and calculation of an inclined truss structure. The results, such as support reactions and internal forces with axial force diagram, are provided.Discussion and Conclusions. Using this software module within the framework of the tool for calculating rod structures allows for the simplified process of modeling and calculating complex truss structures, design time, and resource reduction. The software module provides tools for specifying various types of structures, applying loads and assigning properties of a rod system, which makes it a useful instrument for design engineers.

METHOD FOR CALCULATING CUTTING FORCES BY MODELING CAD WITH A SYSTEM OF GEOMETRIC CUTTING PARAMETERS WITH RADIAL MILLS

The accuracy of processing surfaces of a complex profile largely depends on the selected processing strategy, which will allow creating the same, within certain limits, power characteristics of the shaping process at the intervals of the programmed tool path. In this case, it becomes possible to include tuning modules in programs for CNC machines that form vector values of corrections in certain areas, as reactors for elastic deformations of the cutting process. Therefore, it is especially important to know the modulus and direction of the resulting cutting force vector, which does not necessarily coincide with the feed direction. The purpose of this work is to build a method for calculating cutting forces by modeling the geometric parameters of a cut with a CAD system, a cutter with a nonlinear generatrix. Solid modeling of the process is based on the Boolean operations of "intersection" and "subtraction" of 3D objects: the teeth of a radius cutter with a helical cutting edge and a workpiece "moving" at a feed rate. The tool for the implementation of this method is a software module created on the basis of API functions, the input data for which are: a 3D tool and a workpiece, the equation of the trajectory of its movement and the parameters of the infeed movement. Targeting API properties, the application makes it possible to simulate various trajectories, helical or trochoidal, when machining complex surfaces. In the future, it is possible to take into account the plastic deformation processes in the chip formation zone in the model by connecting external modules. In the course of the conducted research on milling with radial end mills with a helical cutting edge, when two or more teeth are within the arc of contact, it was determined by 3D modeling how much thickness and width the layer cuts off each of the teeth during the feed per revolution. Consequently, in the process of shaping, normal and tangential cutting forces, which are different in direction and modulus, are present as a function of the angle of rotation of the cutter. Therefore, the concept of "circumferential force on the cutter", accepted in the theory of cutting, as a certain constant component of the process, can introduce an error when considering the causes of the excitation mechanism of vibrations of different nature that arise in the processing zone.

Automated object-oriented technology for software module development

It is shown that most technologies for creating information systems are based on an object-oriented approach and provide for the presentation of functional requirements in the form of use cases. However, there is no general agreement on the format of the use cases and the rules for describing script items. The work has improved the classification of items of use cases basing on the analysis of a great number of existing descriptions from different subject areas. New rules have been introduced and the existing rules have been clarified for describing use cases, which made it possible to further formalize and automate the process of describing use cases. It is also proposed to automate the process of forming a model of program classes by introducing additional information linking the class with use cases. Thus, the programming class model contains significantly more information for coding than the existing models in UML diagrams. A method for constructing a model of program classes has been developed. Methods for the automated description of use cases and the construction of a model of program classes are linked into a single process. The level of information richness of the class model also makes it possible to automate the debugging process associated with changing requirements. Since the decisions made cover most of the steps in the software module creation process, they collectively represent a new technology. The proposed model, methods and technology were implemented in the ModelEditor and UseCaseEditor software products. Approbation of the method for automating the description of use cases demonstrated a decrease in the number of errors compared to the traditional method of describing more than two times, and shortening the time  more than one and a half times. Testing the method for constructing a model of program classes showed its advantage over the existing technology: errors and time reduction  almost one and a half times. The proposed technology can be used in the development of any information systems.

A Biometric AsymmetricCryptosystem Software Module Based on Convolutional Neural Networks

During the research, the analysis of the existing biometric cryptographic systems was carried out. Some methods that help to generate biometric features were considered and compared with a cryptographic key. For comparing compact vectors of biometric images and cryptographic keys, the following methods are analyzed: designing and training of bidirectional associative memory; designing and training of single-layer and multilayer neural networks. As a result of comparative analysis of algorithms for extracting primary biometric features and comparing the generated image to a private key within the proposed authentication system, it was found that deep convolutional networks and neural network bidirectional associative memory are the most effective approach to process the data. In the research, an approach based on the integration of a biometric system and a cryptographic module was proposed, which allows using of a generated secret cryptographic key based on a biometric sample as the output of a neural network. The RSA algorithm is chosen to generate a private cryptographic key by use of convolutional neural networks and Python libraries. The software authentication module is implemented based on the client-server architecture using various internal Python libraries. Such authentication system should be used in systems where the user data and his valuable information resources are stored or where the user can perform certain valuable operations for which a cryptographic key is required. Proposed software module based on convolutional neural networks will be a perfect tool for ensuring the confidentiality of information and for all information-communication systems, because protecting information system from unauthorized access is one of the most pressing problems. This approach as software module solves the problem of secure generating and storing the secret key and author propose combination of the convolutional neural network with bidirectional associative memory, which is used to recognize the biometric sample, generate the image, and match it with a cryptographic key. The use of this software approach allows today to reduce the probability of errors of the first and second kind in authentication system and absolute number of errors was minimized by an average of 1,5 times. The proportion of correctly recognized images by the comparating together convolutional networks and neural network bidirectional associative memory in the authentication software module increased to 96,97%, which is on average from 1,08 times up to 1,01 times The authors further plan a number of scientific and technical solutions to develop and implement effective methods, tools to meet the requirements, principles and approaches to cybersecurity and cryptosystems for provide integrity and onfidentiality of information in experimental computer systems and networks.

Virtual immunology: An educational software to encourage antigen-antibody interaction learning

Immunology is a knowledge area of paramount importance in life sciences and health care professional education with diverse applications, as well as for a general public understanding of issues related to vaccination. However, many concepts are complex and difficult to be understood based only on conventional classes or static images. The use of tools, such as educational software, may enhance the learning of dynamic molecular phenomena that occur in our bodies. Virtual Immunology is a software that aims to facilitate the learning of certain complex immunology concepts. Herein, we present the "antigen-antibody interactions" module that was used and evaluated by 127 students and three teachers from medical schools from two universities, one public and one private, both in the state of Rio de Janeiro, Brazil. The pre-test/post-test research design was used to assess student learning in a randomized sample. To evaluate user perceptions concerning software quality, 14 statements were analyzed using a Likert scale. Results indicate suitable evaluations from both students and teachers concerning the "antigen-antibody module" as an auxiliary tool in immunology teaching. The software was well rated an educational resource since it allows dynamically viewing immunological phenomena. In addition, its ease of use and immunological process visualization were the best-evaluated parameters by the students, which recommended this software module as an auxiliary learning tool. The use of the evaluated software may motivate students and aid in the understanding of immunology-related concepts, becoming a complementary tool that may enhance the teaching-learning process.

Integration Environment Software Module for Accumulation and Exchange of Digital Medical Data

Introduction. The development of effective digital medicine tools is an intensive and complex process that requires the interdisciplinary efforts of a wide range of experts, from scientists and engineers to ethics experts and lawyers. Digital medicine products have great potential for improving medical measurement, diagnosis and treatment. One of the main challenges for the healthcare sector is to address the issue of fast, convenient and secure exchange of information about patients’ health. Service-oriented architectures of such products may accomplish many of the challenges facing healthcare systems. The purpose of the paper is to develop an information and software module ExchangeDMD to ensure the accumulation, storage and exchange of diagnostic medical data in accordance with modern medical information standards to maintain the interoperability function as one of the leading principles of digital medicine. Results. A special adaptive architecture of digital medicine infrastructure has been developed, which enables an integrated solution of data exchange between participants of providing medical services, which is carried out with the help of web services. The specifics of different types of medical information are analyzed and taken into account in accordance with the access regime for its processing. The module structure has been developed and implemented in software, which has three main levels: central virtual storage (virtual data center to implement certain functions), remote administration segment (technical support and administration network) and user segment (mobile devices and user-patient applications). Conclusions. The ExchangeDMD information and software module is designed to ensure the accumulation of patient data, integration between the various units within the system, as well as to ensure the management of this data by health care personnel. The ExchangeDMD module is built using the international standard HL7 CDA, which enables formalizing electronic medical records using RIM (information model links) to attract the necessary directories and classifiers when creating medical records and documents.

Processing of strain gauge control signals by the Kalman filter

One of the methods for detecting defects in the rolling surface of the wheels of freight cars is to measure the deformations of the rail under the passing train. The method is based on the analysis of a strain gauge signal. The main task of the strain gauge signal analysis is the selection of informative components and the removal (filtering) of interference. The paper presents methods of filtering diagnostic signals of strain gauge control and the selection of informative components. The useful signal component can be used to measure the mass of cars, to determine the dynamic load on the rails and to detect defects in the rolling surface of the wheels. The method of adaptive Kalman filtering and linear convolution are proposed as signal processing tools. Based on these algorithms, a software module based on the.NET Framework has been developed using the C# programming language. The algorithms were tested on the signals received when the train was moving along the active section of the track, with a strain gauge control system located on it. The computational complexity and speed of the algorithms are assessed, and the possibility of their further application in the autonomous mode of the system is investigated. The results show that the use of the Kalman filtering algorithm provides a significant performance advantage over the linear convolution algorithm.

On the methods of recognition and classification of laser reflection points based on the Terrasolid software module on the Bentley Microstation platform

Nowadays, the use of the three-dimensional laser scanning technique in performing various scientific research comes to the fore, since this technology is one of the most developed and effective methods for analyzing the state of transport infrastructure objects and geodetic monitoring. The purpose of this paper is to develop an author’s algorithm for the classification of laser reflection points, based on the specialized Terrasolid software on the Bentley Microstation platform. The object of the research is the campus of the territory of the Federal State Budgetary Educational Institution of Higher Education “Kuban State Technological University”. The subject of the research is the possibility of optimizing the process of classification of laser reflection points on the campus of the university territory. The result of the study is the author’s algorithm for the classification of laser reflection points.

Image processing algorithms application for the modeling biogeochemical cycles of the Azov Sea

In the article biogeochemical processes of the Azov Sea were researched. Mathematical non-stationary 3D model is proposed which describes the development dynamics of the two most common species of phytoplankton populations in the summer, the growth of which is limited by a single biogenic element, is proposed the linearization of continuous mathematical model on a uniform temporal grid is made. For a continuous model, a discrete analogue is constructed and an optimal method for grid equations solving is selected. To determine the boundary of the considered computational domain of a complex shape an image processing algorithm has been developed, implemented as a software module on Python, which makes it possible to obtain a dynamically changing contour of the Azov Sea from satellite images.