Proposed Software Tool Research Articles

АВТОМАТИЗАЦИЯ ПРОЦЕССА ПРЕДВАРИТЕЛЬНОЙ ОЦЕНКИ КРЕДИТОСПОСОБНОСТИ КЛИЕНТОВ КОММЕРЧЕСКОГО БАНКА

In today's competitive banking environment, process automation is becoming a necessary measure to improve the efficiency and quality of customer service. Customers are becoming more demanding of the convenience of services and the level of service. In turn, banks must develop new techniques for analysing consumer behaviour in order to better understand and meet customer needs. With the uncertainty associated with global events, banks need more accurate forecasting and scenario analysis models for risk management. This paper focuses on the creation of a software tool to automate the process of preliminary credit assessment of commercial bank customers, which will reduce the probability of errors, increase customer satisfaction, reduce the workload of bank employees and enable the collection of analytical data to improve credit products. The creation of the proposed software tool has high practical significance for commercial banks and will allow better adaptation to market requirements and customer preferences.

Review and analysis of software simulators for robotic information systems

The rapid development of educational technologies requires the active involvement of new means and effective teaching methods. One of the innovative tools of learning in the field of robotics is the use of robot simulators in the educational process, which open up many opportunities for better assimilation of knowledge and development of practical skills among students. Robot simulators are software complexes that allow you to visualize and simulate the behavior of real robots. With these tools, students can: program robots in a virtual environment, test code and debug without the risk of damaging real equipment; to study robotics and the principles of robot operation, exploring different types of sensors, actuators and algorithms of robot behavior; to solve problems in various fields, such as production automation, logistics, construction, etc.; practices your skills in a safe and controlled environment. Among the benefits of using robotic simulators are next: availability for a large number of students, as simulators are much cheaper than real jobs; safety, as the virtual environment eliminates the risks associated with working with real robots; flexibility that allows students to work at their own pace, explore different scenarios and experiment with different parameters; interactivity with a realistic 3D-environment and visualization. This work presents an overview and analysis of software that allows modeling robot control systems and simulating their operation for various algorithms. A review and analysis of the proposed software tools for simulating robotic systems, which are used to teach bachelor's and master's degree students in the specialties of "Computer Science", "Information Systems", "Industrial Mechanical Engineering" and "Applied Mechanics" and have proven their effectiveness and effectiveness in distance learning at the Kyiv National University of Construction and Architecture.

Methods and Software Tools for Reliable Operation of Flying LiFi Networks in Destruction Conditions.

The analysis of utilising unmanned aerial vehicles (UAVs) to form flying networks in obstacle conditions and various algorithms for obstacle avoidance is conducted. A planning scheme for deploying a flying LiFi network based on UAVs in a production facility with obstacles is developed and described. Such networks are necessary to ensure reliable data transmission from sensors or other sources of information located in dangerous or hard-to-reach places to the crisis centre. Based on the planning scheme, the following stages are described: (1) laying the LiFi signal propagation route in conditions of interference, (2) placement of the UAV at the specified points of the laid route for the deployment of the LiFi network, and (3) ensuring the reliability of the deployed LiFi network. Strategies for deploying UAVs from a stationary depot to form a flying LiFi network in a room with obstacles are considered, namely the strategy of the first point for the route, the strategy of radial movement, and the strategy of the middle point for the route. Methods for ensuring the uninterrupted functioning of the flying LiFi network with the required level of reliability within a given time are developed and discussed. To implement the planning stages for deploying the UAV flying LiFi network in a production facility with obstacles, the "Simulation Way" and "Reliability Level" software tools are developed and described. Examples of utilising the proposed software tools are given.

A Software Tool for the Measurement of the Aortic Annulus Area by Means of Computed Tomography Image Analysis for the Planning of Transcatheter Aortic Valve Replacement (TAVR).

Cardiovascular diseases (CVD) are the leading cause of death globally, being the heart valve complications one of the five most common heart problems. The aim of this study is the development of a MATLAB-based software tool to obtain several measurements derived from the aortic annulus for the planning of transcatheter aortic valve replacement (TAVR). The proposed software tool utilizes computed tomography (CT) images to reconstruct a volume of the patient. This virtual volume is rotated to situate the images in the plane which cuts the most basal points of the three aortic valve cusps, namely the aortic annulus, and obtain the required measurements. Nevertheless, the computer-user interaction will be entirely based on 2-dimension techniques to reduce both the complexity of the app and the computational load. The program was validated in CT images of 10 subjects with diagnosed aortic stenosis. A comparison of the results with the measurements used in the real clinical practice showed no significant differences between both methods.Clinical Relevance- The resulting computer tool provides significant information about the diseased aortic valve. This will allow clinicians to select the right prosthetic heart valve. It represents a cheaper and less complex alternative to sophisticated software tools which are currently being used to plan the intervention.

SEMgsa: topology-based pathway enrichment analysis with structural equation models

BackgroundPathway enrichment analysis is extensively used in high-throughput experimental studies to gain insight into the functional roles of pre-defined subsets of genes, proteins and metabolites. Methods that leverages information on the topology of the underlying pathways outperform simpler methods that only consider pathway membership, leading to improved performance. Among all the proposed software tools, there’s the need to combine high statistical power together with a user-friendly framework, making it difficult to choose the best method for a particular experimental environment.ResultsWe propose SEMgsa, a topology-based algorithm developed into the framework of structural equation models. SEMgsa combine the SEM p values regarding node-specific group effect estimates in terms of activation or inhibition, after statistically controlling biological relations among genes within pathways. We used SEMgsa to identify biologically relevant results in a Coronavirus disease (COVID-19) RNA-seq dataset (GEO accession: GSE172114) together with a frontotemporal dementia (FTD) DNA methylation dataset (GEO accession: GSE53740) and compared its performance with some existing methods. SEMgsa is highly sensitive to the pathways designed for the specific disease, showing low p values (< 0.001) and ranking in high positions, outperforming existing software tools. Three pathway dysregulation mechanisms were used to generate simulated expression data and evaluate the performance of methods in terms of type I error followed by their statistical power. Simulation results confirm best overall performance of SEMgsa.ConclusionsSEMgsa is a novel yet powerful method for identifying enrichment with regard to gene expression data. It takes into account topological information and exploits pathway perturbation statistics to reveal biological information. SEMgsa is implemented in the R package SEMgraph, easily available at https://CRAN.R-project.org/package=SEMgraph.

Blockchain-enabled beer game: a software tool for familiarizing the application of blockchain in supply chain management

PurposeThis paper aims to introduce, conceptualize and demonstrate a software tool named “Blockchain-Enabled Beer Game” (BEBG) for familiarizing the application of blockchain in inventory management, one of the critical components of supply chain management.Design/methodology/approachThis paper follows a methodology of design-based research and develops a software tool in the form of a role-play simulation game. The proposed game adopts the theme of the traditional beer distribution game to establish a blockchain-enabled scenario for inventory management. A decentralized application (DApp) was prototyped on the Ethereum blockchain to demonstrate the tool.FindingsThe proposed software tool is effective in teaching and training the application of blockchain in inventory management. While interacting with BEBG, players witness how each inventory-related transaction gets secured with blockchain. A basic understanding of the fundamentals of blockchain is a prerequisite for using this tool. BEBG is not self-explanatory, and an instructor is essential for assisting the players.Originality/valueSoftware tools currently available to familiarize with blockchain technology cannot convey its practical applications. Addressing this gap, BEBG allows the users to experience the application of blockchain in inventory management. Academic institutions, especially business schools, can use this tool to teach the students the practical use of blockchain technology. Industries can adopt BEBG for training the employees. The research community can devise BEBG to infer the impact of blockchain in supply chain management.

Validation and Enhancement of a Supermesh Strategy for the CFD Simulation of Four-Stroke Internal Combustion Engines

The present paper describes and validates an efficient CFD implementation to replicate the working fluid-dynamics of a real four-stroke internal combustion engine. To do this, experimental data obtained on a single-cylinder engine are used to validate the proposed computational approach. The engine domain is divided into regions according to each moving zone, and these are coupled using a pseudo-supermesh interface presented in a previous work by the authors. In this work, the original pseudo-supermesh strategy is enhanced by introducing the dual-boundary concept to model the valve opening/closing events to increase the accuracy and simplicity of the simulation procedure. The results produced by the proposed software tool show a good correlation to the experimental measurements of the complete engine cycle. Macroscopic quantities of the in-cylinder flow are accurately replicated as well as the instantaneous evolution of the in-cylinder and intake manifold pressure. Furthermore, the present work shows that the computational efficiency and scalability of the enhanced pseudo-supermesh approach are preserved even when applied to more complex real problems. In this sense, this work contributes to a new engineering tool promoting the enhanced pseudo-supermeshes as an effective tool for the design, development, and optimization of internal combustion engines.

Open Source Software Tools for Sequential Analysis and Comparison of Heart Rate Variability in Large Cohort Studies

Heart rate variability (HRV) is commonly used to assess the function of the autonomic nervous system, which is linked to diseases such as cardiovascular disease, diabetes, hypertension, respiratory diseases, and stress. Many studies of the relationship between these diseases and HRV indices have been reported. Generally, the computation of HRV indices is relatively complicated. Moreover, recent researches regarding HRV have employed increasing numbers of electrocardiogram records. Thus, the computation and data processing required are even more complex. Therefore, we propose computer programs for visualizing and analyzing HRV. The proposed programs are developed under MATLAB GUIDE and are available as open source software tools for researchers to develop or modify. We evaluate the programs with MIT-BIH database. The results show that the proposed software tools facilitates the computation of HRV in batch processing mode and the visualization of all of the details, as well as the properties and trends, of HRV indices over long successive epochs. Especially, the software allows us to divide signals into groups for comparing HRV indices. Therefore, the tools are useful for researchers who deal with large cohort ECG signals. HIGHLIGHTS The authors introduce open source software tools for analyzing heart rate variability The software tools are intended for analyzing large cohorts of ECG data Many records' trend and detail of raw ECG, HRV time series, and RR interval time series can be viewed at the same time

IMPROVING THE METHODOLOGY OF COMPLEX ANALYSIS AND ASSESSMENT OF THE LEVEL OF ENTERPRISE ECONOMIC SECURITY BASED ON THE INFORMATION AND ANALYTICAL SYSTEM OF INDICATORS

In modern conditions, an enterprise is a complex socio-economic system that should have the ability to resist and quickly adapt to changes occurring in the external and internal environment. Sustainable and dynamic development of the enterprise in the conditions of digitalization is inextricably linked with ensuring its economic security. At the same time, in the context of digital business transformation, there is an objective need to develop and implement information and analytical systems that allow automating data processing, conducting their accounting and analysis, as well as performing forecasting tasks using mathematical assessment tools. Information and analytical systems will automate the management functions of the enterprise and ensure high-quality decision-making at all levels of management. In other words, in the digital economy, the activities of enterprises largely depend on their information support. The author suggests to improve the methodology of complex analysis and assessment of the level of economic security of the enterprise on the basis of an information and analytical system of indicators. The use of the proposed software tools is designed to automate the calculation of the mathematical expectation of a discrete random variable, as which the probability of the influence of the i-th factor on the level of economic security of the enterprise is selected within the framework of the model of its integral assessment according to the blocks of integral indicators "Resource availability" and "Perfomance indicators". Automation of these calculations will allow the enterprise to reach a qualitatively new level of management decision- making, accompanying the text conclusion with appropriate calculations and additional information and graphic information required in the process of making management decisions.

New Software Tool for Modeling and Control of Discrete-Event and Hybrid Systems Using Timed Interpreted Petri Nets

For the development of modern complex production processes in Industry 4.0, it is appropriate to effectively use advanced mathematical models based on Petri nets. Due to their versatility in modeling discrete-event systems, Petri nets are an important support in creating new platforms for digitized production systems. The main aim of the proposed article is to design a new software tool for modeling and control of discrete-event and hybrid systems using Arduino and similar microcontrollers. To accomplish these tasks, a new tool called PN2ARDUINO based on Petri nets is proposed able to communicate with the microcontroller. Communication with the microcontroller is based on the modified Firmata protocol hence, the control algorithm can be implemented on all microcontrollers that support this type of protocol. The developed software tool was successfully verified in control of laboratory systems. In addition, it can be used for education and research purposes as it offers a graphical environment for designing control algorithms for hybrid and mainly discrete-event systems. The proposed software tool can improve education and practice in cyber-physical systems (Industry 4.0).

An Event-Driven Agent-Based Simulation Model for Industrial Processes

Process manufacturing industries are complex and dynamic systems composed of several processes, subject to many operations and unexpected events that can compromise overall system performance. Therefore, the use of technologies and methods that can transform traditional process industries into smart factories is necessary. In this paper, a smart industrial process based on intelligent software agents is presented with the aim of providing a technological solution to the specific needs of the process industry. An event-driven agent-based simulation model composed of eight reactive agents was designed to simulate and control the operations of a generic industrial process. The agents were modeled using the actor approach and the communication mechanism was based on the publish–subscribe paradigm. The overall system was tested in different scenarios, such as faults, changing operating conditions and off-spec productions. The proposed agent-based simulation model proved to be very efficient in promptly reacting to different dynamic scenarios and in suitably handling different situations. Furthermore, the usability and the practicality of the proposed software tool facilitate its deployment and customization to different production chains, and provide a practical example of the use of multi-agent systems and artificial intelligence in the context of industry 4.0.

ElTetrado: a tool for identification and classification of tetrads and quadruplexes

BackgroundQuadruplexes are specific structure motifs occurring, e.g., in telomeres and transcriptional regulatory regions. Recent discoveries confirmed their importance in biomedicine and led to an intensified examination of their properties. So far, the study of these motifs has focused mainly on the sequence and the tertiary structure, and concerned canonical structures only. Whereas, more and more non-canonical quadruplex motifs are being discovered.ResultsHere, we present ElTetrado, a software that identifies quadruplexes (composed of guanine- and other nucleobase-containing tetrads) in nucleic acid structures and classifies them according to the recently introduced ONZ taxonomy. The categorization is based on the secondary structure topology of quadruplexes and their component tetrads. It supports the analysis of canonical and non-canonical motifs. Besides the class recognition, ElTetrado prepares a dot-bracket and graphical representations of the secondary structure, which reflect the specificity of the quadruplex’s structure topology. It is implemented as a freely available, standalone application, available at https://github.com/tzok/eltetrado.ConclusionsThe proposed software tool allows to identify and classify tetrads and quadruplexes based on the topology of their secondary structures. It complements existing approaches focusing on the sequence and 3D structure.

Mathematical models of political districting for more representative governments

Political Districting, the problem of partitioning a geographical region into sub-regions as electoral districts for political seat assignment, has been widely studied by researchers of both social and mathematical sciences. In the US, one Congressional representative is elected for each such district, and the Constitution requires compactness, geographical contiguity, and population balance for any such district. “Gerrymandering,” i.e., misuse of re-districting once every 10 years (after each new census) to benefit a particular political party or current incumbent(s), has been practiced for decades, and political strongholds for individual parties have been formed. The vast majority, if not all, of the current literature and proposed software tools on political districting focus on how to achieve the non-political constitutional requirements. Election and re-districting are political processes; we believe that software tools are needed to achieve political purposes. In this paper, we present two mathematical optimization models to implement two new political criteria: fairness and competitiveness. Fairness aims to ensure fair allocation of seats to political parties considering the distribution of voters. Competitiveness aims to maximize the number of competitive districts to prevent districting solutions that provide clear advantage to one political party. We show that the feasibility problem associated with each of the two optimization models is NP-complete. Both models are implemented with a case study of South Carolina. The numerical results of six scenarios demonstrate their effectiveness and efficiency. A strategy is proposed to deal with the issue of computational complexity associated with a state that is partitioned into a large number of indivisible area/population units, e.g., census tracks, as building blocks of electoral districts. The two models can be extended or modified to address fairness and competitiveness issues in some political systems with three or more political parties.

Design and Implementation of Reliability Analysis Tool using Real Time Data

To estimate the reliability of software numerous statistical methods are in practice. To accomplish the software reliability prediction in more accurate way there is a huge demand for data sets. The data sets that can be acquired as a result of testing the software can be used for predicting the reliability. The research work focuses on creating a layer of software design and testing method namely web software testing. The main purpose is to collect the erroneous data from real time. The reliability of software can be measured in different aspects like traffic handling capability when there are a greater number of users, the security level for cracking the passwords and the possibility of different combinations of errors that occurs when inputting the data. This proposed software tool will read the software description, and will generate test patterns according to the input types and collects testing results, predicting the software reliability in real time and suggesting the possible ways to improve the software. For designing purpose PHP for web application will be used to give the testing results.

Design of a ternary QCA multiplier and multiplexer: a model-based approach

A ternary arithmetic and logic unit is a digital circuit that performs arithmetic and logic operations in computer circuits such as central processing units of computers. Ternary multiplication is one of the most complicated operations in processors. Multipliers are the most important components of ternary arithmetic and logic units and a multiplexer is a significant building block for logical design purposes. The current study was undertaken to design a ternary multiplier and a multiplexer based on the comprehensive ternary QCA model which has been implemented in our previously proposed software tool (TQCAsim). In order to meet this aim, the ternary multiplier first was designed using a 3 × 1 multiplexer and then a regular multiplier was designed and investigated. To evaluate the designed circuits, the proposed multipliers were simulated in TQCAsim. Effective factors such as area occupation, energy consumption and cost were investigated in the proposed circuits and the designs were compared.

An integrated dialect analysis tool using phonetics and acoustics

This study aimed to verify a computational phonetic and acoustic analysis tool created in the MATLAB environment. A dataset was obtained containing 3 broad American dialects (Northern, Western and New England) from the TIMIT database using words that also appeared in the Swadesh list. Each dialect consisted of 20 speakers uttering 10 sentences. Verification using phonetic comparisons between dialects was made by calculating the Levenshtein distance in Gabmap and the proposed software tool. Agreement between the linguistic distances using each analysis method was found. Each tool showed increasing linguistic distance as a function of increasing geographic distance, in a similar shape to Seguy's curve. The proposed tool was then further developed to include acoustic characterisation capability of inter dialect dynamics. Significant variation between dialects was found for the pitch, trajectory length and spectral rate of change for 7 of the phonetic vowels investigated. Analysis of the vowel area using the 4 corner vowels indicated that for male speakers, geographically closer dialects have smaller variations in vowel space area than those further apart. The female utterances did not show a similar pattern of linguistic distance likely due to the lack of one corner vowel /u/, making the vowel space a triangle.

3D planning of irreversible electroporation treatment in pancreatic carcinoma: a use case

Introduction: Irreversible-electroporation (IRE) is an ablation technique that spares vessels and is therefore suitable for treatment of locally advanced pancreatic cancer. Our surgery planning software supports pre-operative simulation of possible needle configurations in 3D to prepare for the ablation treatment. We present herein the application of the proposed software tool to one out of five cases which we already planned within a proof of concept study. Method: For planning of an open IRE treatment of a carcinoma located in the body of the pancreas, pre-operative CT image data was analyzed with a commercial surgery planning tool. The resulting 3D anatomy models as well as the original CT data were loaded into our tablet-based software. We then performed simulation of two different IRE needle configurations (Figure 1) and evaluated them with respect to vicinity to critical structures versus achieving the recommended needle spacing and parallelism for IRE. Results: During the surgery the decision was to target according to plan # 1 as the superior mesenteric vein was not mobilizable enough to obtain a window for the inferior right needle in #2. The number and placement of the needles relative to each other did not significantly depart from the pre-operatively defined plan. Conclusions: Our software gives to surgeon the possibility to pre-operatively verify the feasibility of needle placement strategies and enables a better orientation of the upcoming situs. Our next step is to enable intraoperative computer-assisted navigation to target according to the pre-operative plan.

Software approach to simulation-based hazard identification of complex industrial processes

Process safety is of major importance in chemical industry. Numerous activities have targeted the modification of conventional risk assessment strategies by computer aided approach. In this paper, a software tool for Hazard and Operability (HAZOP) study based on process simulation is presented. Individual components of the proposed software tool are described and the principal methodology of their function is explained. As the simulation engine, commercial process simulator Aspen HYSYS was employed. Proposed tool was applied to a case study of an ammonia synthesis plant based on an existing plant. Hazardous events and operability problems in the syngas purification unit and ammonia synthesis loop have been detected and reported. The steady state multiplicity phenomenon in the ammonia synthesis loop has also been successfully identified. Based on simulation data evaluation performed in the semi-automatic manner by the proposed tool, a HAZOP-like report containing HAZOP deviations and their causes and consequences was generated.

Strategy on a Page: An ArchiMate‐based tool for visualizing and designing strategy

SummaryNowadays, organizations need to be able to adjust more rapidly to the circumstances of their environment, at a strategic, tactical, and operational level. However, most software tools are designed to support the tactical and operational levels, while at a strategic level there are not many options available. In this paper, we propose a software tool which supports modelling of strategic information, covering several well‐known strategy techniques, and also facilitates the design of highly customizable management dashboards. To validate our proposed software tools, we perform two case studies, with two inherently different organizations, namely a public university and an investment fund.

Generation of Source Data for Experiments with Network Attack Detection Software

The paper suggests a new approach for traffic generation and the architecture of the software tool for evaluation of attack detection and response mechanisms. To assess the proposed approach the automatic network attack detection and response mechanism Threshold Random Walk (TRW) was chosen and implemented. The results of evaluation of this mechanism by the proposed software tool are presented.