Development Of Software Applications Research Articles

Software application for predicting the efficacy of rehabilitation treatment in patients with discirculatory encephalopathy

Software application for predicting the efficacy of rehabilitation treatment in patients with discirculatory encephalopathy

SELECTION AND JUSTIFICATION OF THE LOCATION OF CAMERAS OF THE ALLROUND VISION SYSTEM ON AN UNMANNED DUMP TRUCK

The choice of equipment installation location on the sides of an unmanned vehicle, and especially such a dump truck, is a difficult task, which is solved, as a rule, intuitively and by the method of fullscale modeling. The authors of the article have solved the formulated problem, on substantiation of the choice of places of sensorics arrangement on the dump truck, using the developed specialized software application. The Carla simulator was chosen as a tool for carrying out the research as it has wide possibilities of visualization of the surrounding world. At the initial stage of selecting the location of the camera arrangement, the requirements for their viewing angles and the quality of the image obtained from them were formulated. This required the development of a software application in the Python language using the Open3D library, the choice of which is justified by the fact that the Carla simulator provides access to its API through a library for this language, and also because it allows rapid prototyping of applications. The developed software application helps the user to select the location of the video cameras on the dump truck in order to experience the unmanned control system. Further research is aimed at automating the selection of camera locations on board an unmanned dump truck.

Specialists Training for the Radiation Type of Non-Destructive Testing Based on Digital Technologies

The purpose of research is the development of application software, including VR-technologies, to increase the number of trained specialists in radiation type of nondestructive testing by reducing the per capita load on radiographic laboratories while maintaining the amount of practical training, acquired competencies and formed relevant professional skills.Methods. Prerequisites for virtualization of the process of training specialists in nondestructive testing of structural materials and fabricated products are defined. The main factors of demand for industrial radiography simulator in relation to the practical part of the educational cycle on radiation type of nondestructive testing are considered. As a result of the analysis the most significant aspects of practical training, available for their virtual realization, are singled out. The results of software implementation of mathematical models of physical and physicochemical processes of ionizing radiation, attenuation and absorption of penetrating radiation within the scope of digital twin of radiographic image generation as a result of simulation of the technological process of radiation type of nondestructive testing are presented.Results. Performed practical implementation of didactic materials in the form of hardware and software VR-simulator as part of digital educational environment to solve the problems of training, retraining, preparation for certification of personnel and providing admission of specialists to work on radiation type of nondestructive testing at facilities. Physical and technological aspects are analyzed, modeling, algorithmization and software implementation of VR-simulator are performed. A comprehensive approach to the creation of a learning environment with the use of digital technologies is presented. Considered are the main components, their goals and objectives. The structure of a practical lesson and illustrations of the training process in a virtual environment are given. The results of approbation of training programs with integration of classes in VR-simulator of industrial radiography have shown that the total time of practice of trainees increases by 40-55% with simultaneous reduction of per capita radiographic laboratory load by more than 25%. The main directions of development and scaling of software and hardware solution using VR-technologies are given.Conclusion. The developed and tested hardware-software solution together with the results of scientific research suggests the possibility of application and development directions of the digital educational system with VR-environment. The proposed approach application will allow to reduce environmental and biomedical risks by reducing the requirements to safety of training with the use of software and hardware solution. Automation of testing task generation and knowledge control procedures on the basis of software tools and mathematical models application, including methods of artificial intelligence, will allow to achieve training term reduction and will contribute to further increase in the number of trained specialists in various types and methods of nondestructive testing. With the functional capabilities expansion and evolutionary development of hardware-software solution (industrial radiography simulator) on the basis of unified modular approach, software libraries and hardware-software interfaces, virtual simulator simplifies organization of the process of specialists training and knowledge control. Practical value of the digital virtual environment (VR-environment) development is revealed due to the transfer and scaling of the obtained hardware-software solution to other types and methods of nondestructive testing according to GOST R 56542-2019 " Non-destructive testing. Classification of types and method".

Strategi Peningkatan Keterampilan Masyarakat Dalam Membangun Package Backend dan Frontend

Community Service (PKM) with the theme "Strategy for Increasing Community Skills in Building Backend and Frontend Packages" was carried out through a zoom meeting on December 3 2023. This activity aims to provide in-depth understanding and practical skills to teenagers around Bandung City in developing software applications . The seminar began with an explanation of the basic concepts of Package Backend (BE) and Frontend (FE), followed by practical training that involved active participation of participants in building real projects. The implementation method uses a community activity center to facilitate access and create an interactive space. The target audience consists of teenagers from Bandung City, selected because of their potential to develop technological skills. Indicators of success include active participation, understanding of the material, and participants' practical abilities in building applications. Evaluation methods include written exams, practical projects, and participant satisfaction surveys. The results showed significant improvements in participants' understanding and practical skills. Positive impacts can be seen from the small projects that participants develop after the training, creating a stronger technology ecosystem at the local level.

Design and development of human-computer interactive multimedia application software based on Python language

Abstract Interactive multimedia systems have been widely used because of their good interactivity and flexible operation. In this paper, a support platform for human-computer interactive media applications is designed based on the three-layer model, which provides an efficient multimedia-oriented communication mechanism and a convenient development interface for application developers. The M/M/1 queue model is established by considering the load of nodes and links, and the average delay for error repair of the SRM and TORM protocols is calculated. Finally, the interactive performance of multimedia applications is examined through the construction of an experimental platform. The experimental results show that the interaction probability of selecting the distance range of 800~1200 mm is greater. The selection probability is more than 12.45%, and the interaction scenario built by Python language can effectively improve the interaction performance of multimedia applications.

Автоматизация процесса разработки метеорологических моделей

Introduction. The chief specialist in working with information resources and geoinformation systems (GIS) of the crisis management centers of EMERCOM of Russia for managing forces and means in responding to natural and man-made crisis situations or their threat develops models of the situation and sends them to cooperating organizations that are part of the Unified state emergency prevention and response system situations (RSChS). With the simultaneous occurrence of several crisis situations of different nature, the time for effective management may be missed. Along with other crisis situations, a complex of adverse meteorological phenomena, is a threat of emergency situations. For successful and timely processing of meteorological information to be provided to responding units, it is necessary to constantly improve the methods of working with it. A software application can automate routine actions and reduce the processing time of weather data, the use of which will minimize the threat of an emergency situation. Goals and objectives. The purpose of the study is to model the process of preparing documentation for probable scenarios of the development of the situation in connection with adverse meteorological conditions, which helps to reduce labor costs and increase the validity of decisions made by officials managing forces and means in crisis situations. To achieve this goal, the following tasks have been solved: the analysis of data, methods and tools that are used in the daily activities of the chief specialist in working with information resources and GIS technologies has been carried out; the existing problems were identified; a computer software application was developed; a study of the developed software application using meteorological data for the Irkutsk region for 2023 was conducted. Methods. To achieve the goal and solve the tasks of the study, methods of system analysis and data systematization were used. Results and discussions. An algorithm for collecting meteorological data and a functional model of the software application is proposed, which made it possible to automate the process of developing models of the development of the meteorological situation for interacting organizations that are part of Unified state emergency prevention and response system situations (RSChS). This allows you to prepare documentation in the shortest possible time, carry out preventive measures, and also contributes to the adoption of operational management decisions in crisis situations. Conclusion. A software application was developed in the object-oriented programming language Visual Basic using the "Atlas of Hazards and Risks" system. Using meteorological data for the Irkutsk region for 2023 as an example, the effectiveness of its use is shown. Keywords: software application; meteorological data; process automation; crisis management.

Design and Implementation of Intelligent Logistics Control Platform Based on Spring Cloud

With the continuous progress of science and technology, Internet technology, management concepts and service models have also undergone earth-shaking changes. To address this challenge, this article proposes a solution based on a Spring Cloud application. The platform adopts microservice structure to realize efficient data interactive processing system architecture, mainly including administrator users, logistics personnel, front-end application software development environment, server and other functional modules. Its core goal is to help internal employees quickly and accurately access the company's website, and carry out statistical analysis of various reports to improve work efficiency and quality. After that, the intelligent logistics control platform was tested, and the test results showed that the security range was from 85 to 100, and at time point 8, the safety score reached the highest 99%, and the system security reached the best level. This shows that the background support management function can ensure the security of database information and record various operation logs to meet the management needs of enterprises.

Development Of Mobile-Based Attendance Management System Applications

Components in evaluating student academic achievement can be seen from several things, including attendance. Recording attendance or absenteeism in courses is one of the factors for assessing academic performance and student activities in the learning process. Errors in recording attendance are human errors that can be detrimental to students. This research aims to develop a mobile-based application with the Android platform to overcome errors in attendance. Application software development uses the Agile method; the research results are applications that can overcome human error problems, and development using the Agile method can be done more quickly

DEVELOPMENT OF A MATHEMATICAL MODEL OF VEHICLE ROUTING DURING WINTER ROAD INFRASTRUCTURE MAINTENANCE

The main goal of the research is to study the problem of vehicle routing during winter maintenance of highways, as well as to build a corresponding mathematical model. It is determined that this problem can be characterized as a typical NP-complete problem. A variety of approaches to solving the problem of routing special equipment are considered. In particular, constructive, composite and mixed (metaheuristic) methods were researched. It was found that some researchers tried to automate the process of route planning, for example, developed application software. It was determined that winter maintenance of roads includes chemical, manual, mechanical and physical snow removal operations. It was established that regardless of the method, the road agency should make management decisions regarding the optimal routes of special vehicle. It is proposed to solve this problem using Graph theory. In this case, the Graph will steal from nodes and lengths between them – routes. The objective function minimizes the number of routes of specialized equipment for winter maintenance of the road network by selecting parameters using binary programming. Since the uncertainty factor is programmed into the proposed mathematical model, we believe that the application of the genetic algorithm for solving the mathematical model will be a promising step in the development of the given research.

Fuzzy modeling of biometric variables development of tomato crop under irrigation and water salinity effects

Tomato is a demanding crop in terms of handling, mainly because irrigation has a strong influence on fruit production and quality. Salinity changes the absorption, transport, assimilation, and distribution of nutrients in the plant. In general, such effects are analyzed using statistical tests. However, fuzzy models allow simulations between points that are not verified in agricultural experimentation. Currently, systems with artificial intelligence have excelled in the field of applied sciences, particularly fuzzy systems applied to mathematical modeling. The objective of this research was to use fuzzy modeling to analyze the biometric variables during the development of hybrid tomatoes under two different conditions: the first concerning different water tensions in the soil and the second concerning different salinity doses in irrigation. To this end, two models were developed based on an experiment carried out at São Paulo State University (UNESP), School of Agriculture, Botucatu, São Paulo State, Brazil. Both models sought to estimate the values of biometric variables of the tomato crop. Thus, two models were developed: Model 1 regarded water tensions and days after sowing (DAS), while Model 2 featured salinity and DAS. Fuzzy models provided results that verified the effects of irrigation and salinity layers. Two Fuzzy Rule-Based Systems (FRBS), an input processor with two variables, a set of linguistic rules defined from statistical procedures with percentiles, the Mamdani fuzzy inference method, and the center of gravity method to defuzzification were elaborated for this purpose. The range between −25 and −10 kPa (for Model 1) and between 0.08 and 3 dS m−1 (for Model 2) provided the development within the ideal parameters for the complete development of the plant cycle. The use of fuzzy logic has shown effectiveness in evaluating the development of tomato crops, thus showing potential for use in agricultural sciences. Moreover, the created fuzzy models showed the same characteristics of the experiment, allowing their use as an automatic technique to estimate ideal parameters for the complete development of the plant cycle. The development of applications (software) that provide the results generated by the artificial intelligence models of the present study is the aim of future research.

Development of Application Software for Features Extraction from Peripheral Pulse Waveform

Development of Application Software for Features Extraction from Peripheral Pulse Waveform

Development of New Mathematical Methods and Software Applications for More Efficient and Sustainable Road Freight Transportation

Recently, the main aim of the road freight transportation sector has been the establishment of a cost-effective and sustainable operation because it is one of the most environmentally damaging and most expensive elements of the supply chains’ activities. The efficiency improvement and optimization of these transport activities can result in significant cost savings, which lead to increased competitiveness of the transport companies. Two new methods were elaborated for the optimization of road freight transport activities; therefore, this research is very innovative and up to date. The elaborated methods are as follows: (1) A new calculation method for the precise prime cost pre-calculation of transport tasks in order to determine an accurate transport fee, thus ensuring the company’s profit; furthermore, the losses can be eliminated in order to provide competitiveness to the transport company. (2) A new optimization method for the refueling procedure of international transport trips in order to minimize the total fuel cost of the transport trips taking into consideration the different unit fuel prices at the different stations. Therefore, the elaborated optimization method on the one hand helps in selecting the optimal petrol station and, on the other hand, defines the optimal amount of fuel to be refueled. Based on the newly developed methods, two decision-supporting software applications were developed to establish more profitable and sustainable transportation. The added value of the developed calculation methods and software applications is that, recently, both the prime cost calculation and the fuel supply optimization have not been supported by software. This is the reason the two developed methods and two software applications are innovative and unique. The newly developed software applications were successfully implemented at transport companies. The correctness of both elaborated mathematical methods was validated using the developed software in real case studies.

Coordinating and programming multiple ROS-based robots with X-KLAIM

Software development for robotics applications is still a major challenge that becomes even more complex when considering multi-robot systems (MRSs). Such distributed software has to perform multiple cooperating tasks in a well-coordinated manner to avoid unsatisfactory emerging behavior. This paper provides an approach for programming MRSs at a high abstraction level using the programming language X-Klaim. The computation and communication model of X-Klaim, based on multiple distributed tuple spaces, permits coordinating with the same abstractions and mechanisms both intra- and inter-robot interactions of an MRS. This allows developers to focus on MRS behavior, achieving readable, reusable, and maintainable code. The proposed approach can be used in practice by integrating X-Klaim and the popular robotics framework ROS. We demonstrate the feasibility and effectiveness of our approach by (i) showing how it scales when implementing two warehouse scenarios allowing us to reuse most of the code when passing from the simpler to the more enriched scenario and (ii) presenting the results of a few experiments showing that our code introduces a slightly greater but acceptable latency and consumes less memory than the traditional ROS implementation based on Python code.

Crime Mapping and Forecasting Using Geospatial Techniques: A Case of Ajmer

Abstract: Advances in computer technology, the development of GIS application software, and the ability to access various geographic data through open-source data sources have allowed police and law enforcement agencies to use it effectively. Crime mapping and spatial analysis using GIS tools such as hotspot generation, zoning, crime navigation and profiling, mobile location recognition, and various web applications are clearly recognized and can be scientifically applied to improve citizenship while being effectively used to predict and control crime. The present study analyzed the trends and patterns of crime data (murder, rape, robbery, theft, kidnapping, engraving, and gambling) in Ajmer Zone from 2015–2022 (till October) to understand the trends of crime data (IPC crime registered). I also used the demographic data of Ajmer to understand crime trends towards various crime types The study focused on the most common crimes reported, which were theft and gambling, as opposed to murder, rape, kidnapping, and robbery. All crimes were reported in 1,009 incidents in 2015. In 2016, 1,064 cases were recorded. In 2017, 1081 cases were reported. In 2018, 1034 cases were reported. In 2019, 1415 cases were reported. In 2020, 829 cases were reported. In 2011, 1120 cases were reported. In 2022, 1268 cases were reported. The highest number of cases occurred in 2017, 2019, and 2022, and the lowest number of cases occurred in 2015 and 2016. According to the crime study for 2015–2022 (till October), I found that many areas where crime is increasing or that are crime hotspots are found every year.

Development of Mobile Application-Based Assisttive Technology to Improve Slow Learner Students' Conjecturing Ability

Development of software for mobile applications has grown in significance in the current digital era. The goal of this project is to create mobile-based software that can enhance slow learners' conjecturing skills during the learning process. Rapid Application Development (RAD), a technique well-known for its iterative and collaborative approach, was utilized to create this program. Software development that is quick, flexible, and more user-centered is made possible by RAD. The steps of software development, such as user requirement analysis, application design, implementation, and testing, were discussed in this study. We also emphasize the importance of actively involving users in the development process to ensure that the software meets their needs and expectations. The results of software quality testing show that the software developed meets ISO-9126 standards. It covers important aspects such as reliability, efficiency and usability, earning Good criteria. Meanwhile, only the maintainability and portability aspects received sufficient criticality. It can be concluded that in general the quality of the software developed is good in accordance with ISO-9126.

Assessing the risk of using hazardous drugs in Hospital-at-Home Units: a big data study protocol

ObjectiveThis article describes a study protocol for the implementation of quality and traceability control in the hazardous medication circuit through an analysis of risks and the development and introduction of a Big Data-based software application aimed at performing a continuous and dynamic audit of the whole system. MethodA standardized graphical modeling tool called Business Process Model Notation will be used to generate a detailed description of each of the stages in the hazardous medication circuit with a view to ensuring full traceability of the system. The information on each stage will be collected in a flowchart, which will be used —together with each event's likelihood of occurrence and severity— as a basis to calculate the criticality index of the different control points established and to determine any control measures that may be required. The flowcharts will also be used to develop the technological support needed to capture all such data as may be relevant to the model. Proper quality control of the process will be ensured by client software agents intended to allow automatic application of efficient data processing tools at the different phases. In addition, Big Data methodologies, in particular machine learning, will be used to develop algorithms based on the repository of generated data to come up with patterns capable of improving the protocols to be applied. Lastly, proper operation of the process will be ensured by means of clinical-pharmaceutical verification and a full technical-documentary review of control and registration systems. ConclusionsThe development of a risk management system based on mobile technology will allow integration of hazardous drugs into a standardized system, ensuring the safety, quality, and traceability of the hazardous medication handling process.

Eclipse Open SmartCLIDE: An end-to-end framework for facilitating service reuse in cloud development

Service-Oriented Architectures (SOA) have become a standard for developing software applications, including but not limited to cloud-based ones and enterprise systems. When using SOA, software engineers organize the desired functionality into self-contained and independent services that are invoked through end-points (with API calls). The use of this emerging technology has changed drastically the way that software reuse is performed, in the sense that a “service” is a “code chunk” that is reusable (preferably in a black-box manner), but in many (especially “in-house”) cases, white-box reuse is also meaningful. To confront the reuse challenges opened-up by the rise of SOA, in the SmartCLIDE project11An EU-funded Research and Innovation project with a duration of 40 months, supported by a consortium of 11 research, innovation, and industrial partners. we have developed a framework (a methodology and a platform) to aid software engineers in systematic and more efficient (in terms of time, quality, defects, and process) reuse of services, when developing SOA-based cloud applications. In this work, we: (a) present the SmartCLIDE methodology and the Eclipse Open SmartCLIDE platform; and (b) evaluate the usefulness of the framework, in terms of relevance, usability, and obtained benefits. The results of the study have confirmed the relevance and rigor of the framework, unveiled some limitations, and pointed to interesting future work directions, but also provided some actionable implications for researchers and practitioners.

Software implementation of the system for learning to write Chinese characters

Objective. The purpose of the work is devoted to the development and description of the mathematical model of the Chinese character recognition system, taking into account all the features of writing the Chinese language. The Chinese language learning app with character recognition module can help you replace a native speaker or home teacher for self-study. However, the developed software applications are based only on the creation of a neural network and cannot provide recognition, taking into account all the features of the language, which is so important when studying, therefore this topic is still relevant.Method. The neural network training model is based on the use of artificial neural networks using the backpropagation algorithm.Result. The article presents a software implementation of a system for teaching Chinese characters, taking into account the peculiarities of writing, the direction of each feature and its exact definition, taking into account the correct sequence and location in the character, as well as controlling the length of the features.Conclusion. Each of the writing features is an integral part of learning a language, since it can not only completely change the meaning of the written hieroglyph, but also help the learner to memorize the hieroglyph in a structured way, giving him a clear structure and algorithm of actions for writing the hieroglyph. When errors are detected when writing, the system will indicate to the user where exactly and in what area the error was made, what feature of the language he did not take into account, and attention should be paid to it.

국내 관광산업 생태계 네트워크 분석

The tourism industry is undergoing rapid structural changes due to economic, technological, and social transformations. This study aims to identify the structure and characteristics of the domestic tourism business ecosystem using corporate data. Employing the business ecosystem theory and social network analysis techniques, the influence of key companies and the connectivity between companies are examined. The findings reveal several important insights. First, the analysis of connection centrality indicates that the travel business and the Korea Tourism Organization are core companies that engage in extensive interactions within the ecosystem. Contrary to previous studies categorizing public institutions as secondary stakeholders, this research demonstrates their high influence as core companies within the tourism industry. Second, proximity and centrality of prestige analyses highlight that companies involved in aviation and passenger transport hold top ranks. These transportation-related companies exert rapid and significant ripple effects within the ecosystem. Furthermore, the study identifies the tertiary supply chain through ego-network analysis of key companies such as Korean Air, Hana Tour, and Hotel Lotte. It reveals the involvement of various industries beyond tourism, including system and application software development, supply chain management, and telecommunication sales. This empirical insight provides a glimpse into the digital transformation occurring within the tourism industry. Based on these results, the study puts forth academic and policy implications for the development of a healthy tourism business ecosystem. Understanding the flow within the tourism industry and its interactions with related industries is essential for adapting to ongoing economic and technological changes, thereby fostering a sustainable and competitive tourism sector.

Research on the POPi Digital Model Framework for BIM Implementation in High-Rise Megaprojects

For more than a decade, researchers and practitioners have been working to advance the implementation of virtual design and construction (VDC) and building information modeling (BIM) in the construction industry. Based on the product-organization-process (POP) research model of VDC/BIM, this paper presents the product-organization-process-infrastructure (POPi) digital framework by adding the core element: the software and hardware infrastructure. This paper discusses the element models and corresponding relationship of the POPi framework in terms of practical characteristics: the diversity of BIM applications and software in high-rise megaprojects and cross-organizational task interdependence. In addition, by combining the practices of the Suzhou Zhongnan Center, this study analyzes the four core element models of the POPi framework and discusses the typical applications and benefits to projects in design and the early stage of construction based on the element models. The research results provide a theoretical framework for the BIM application and related software development of similar projects.