Using R Software Research Articles

Digital transformation model: The study of the governmental agency in a developing country

Embracing digital transformation is imperative for governments seeking to enhance service delivery and improve their operational efficiency in the digital age (Chen et al., 2021; Velmurugan et al., 2022). This study investigates factors influencing the use of digital technology in operations and customer service within Thailand’s Office of the Welfare Promotion Commission for Teachers and Educational Personnel (OTEP). Five key factors — attitude, tech literacy, organizational culture, leadership, and technology facilities — affect hardware, software, and data warehouse usage among OTEP staff. Data was collected through a questionnaire and analyzed using confirmatory factor analysis and structural equation modeling (SEM), revealing age-related differences. The findings indicate moderate digital technology readiness within OTEP, with a prevalent negative attitude toward data warehouse use among employees. Technology facilities, tech literacy, leadership, and organizational culture significantly impact digital technology utilization. However, for young OTEP employees, attitude, tech literacy, and leadership have no significant effect on data warehouse consumption. This underscores challenges in fostering human resource development, particularly in the digital technology realm, as the majority of government agency personnel in Thailand are of a certain age. Embracing digital technology is crucial for improving organizational performance, especially in large government agencies.

Defining a theoretical model to assess transition from on-premises to Software-as-a-Service

Transitioning enterprise applications (EA) software from on-premises to Software-as-a-Service (SaaS) is a crucial question for IT adoption decisions. Grounded in the literature, this article suggests a research model to support enterprises assessing a transition strategy from on-premises to a SaaS model. The research model proposes eight hypotheses to be tested and analysed with data collected from a questionnaire among firms that have EA software. This paper goes beyond the software functionality and usage to address the strategic challenges of selection in a new landscape of the enterprise software industry, also considering the industry’s software deployment chain, business model, and the moderating factor of firm’s business process sophistication. We aim to provide new and significant guidelines for enterprise’s and software vendor´s decision-making.

Кибератаки: некоторые подходы к системному анализу

The lack of a unified approach to understanding and responding to cyber attacks and incidents between information security software manufacturers, users and government agencies in charge of cybersecurity leads to the impossibility of interaction and joint counteraction. Various approaches to the classification of cyber attacks are considered. An attempt is made to systematize and analyze existing threats in the form of attacks on the network information infrastructure.

Building Custom Spreadsheet Functions with Python: End-User Software Engineering Approach

Building Custom Spreadsheet Functions with Python: End-User Software Engineering Approach

Research and application of thermal energy recovery and automatic monitoring system for motor equipment

In order to achieve an automatic monitoring system for the operation status of motor equipment, the author proposes a research and application based on the thermal energy recovery and automatic monitoring system of motor equipment. The author first analyzes the operating characteristics of the motor and collects four basic parameters of the motor, namely voltage, current, speed, and temperature, in order to determine whether the motor is in normal working condition. Secondly, the system combines electrical parameter detection and acquisition, wireless network technology, industrial field bus technology, and computer user software to achieve remote real-time monitoring, control, and management of the motor?s remote travel status. This enables the entire system to achieve intelligent, networked, and systematic management, solving the technical problem of real-time control and system management that cannot be achieved in motor systems distributed in multiple locations. Finally, the monitoring results indicate that after installation and debugging, the data is displayed on the upper computer. This effect is the data collection of the motor during low speed operation, which is reflected in real-time on the control panel. The actual parameters of the motor were compared with the test parameters of this system, and the test basically achieved the desired effect, with accurate detection data.

How to Assess the Usability of Virtual Reality (VR) systems for Implementation in Product Development Processes

In modern product development, software tools have become indispensable. CAD-supported design or calculations using FEM software are commonplace. Since around 2016, HMD based virtual reality (VR), has been pushing its way into development departments.Especially with new software tools like VR, it is important to take a close look at usability. Only with usable software tools is it possible to work efficiently and reduce usage barriers (such as lack of acceptance by employees). VR in particular poses a challenge, as there are no standardized input devices for controlling the software. In addition, VR software dialogs are explicitly excluded in existing usability guidelines. This paper is intended to be the starting point for the development of a framework for the usability design of VR software systems.First, the existing literature is systematically classified using keywords. The most significant publications are thoroughly analyzed to clearly identify gaps in the research landscape. Second, existing guidelines such as ISO 9142 are examined and analyzed. Gaps and problems in the usage of these guidelines in the field of VR are identified. Subsequently, possible solutions and recommendations for the development of a VR-specific guideline are presented.

Comparative analysis of statistical software usage in agricultural research: A review

Comparative analysis of statistical software usage in agricultural research: A review

The moderation of trust on the relationship between TOE factors and generalized audit software usage and financial performance

The importance of Generalized Audit Software (GAS) is particularly important for nations' development. Picking 'Over Conduct Theorized Results and Consequences' Poly GAS as a test subject, results have been inconsistent in previous studies on predictor variables and consequences of using GAS. This study aims to investigate the predictors and consequences of using GAS. From the perspective of Resource-oriented technology (Approach (TOE) fitness - View (RBV Environment), It is intended that technology's relative advantage, compatibility, and complexity, as well as organizational readiness top management support IS committee) Villa have an important influence on GAS, which in turn is expected to affect financial performance. Trust will serve as a moderating variable between technological and organizational factors, and GAS. Profession MB. This counts all audit firms in Jordan. The research questionnaire was distributed by purposive sampling for subsequent investigation. As many as 210 valid questionnaires out of all completed questionnaires were gathered from this study by using Smart PLS as the data analysis software. Technological relative advantage, compatibility, and complexity as well as organizational readiness (top management and organizational readiness) have a significant effect on GAS which in turn affects financial performance. Accepted Southern Trustor did not affect the impact of technology and organization factors in GAS. So, the results can provide some ideas to policymakers in Jordan about how to foster the use of GAS to improve financial performance and bring down the new technology adoption costs.

Research on Humanized Design and Implementation of Computer Software User Interface Based on Visual Data Mining

Research on Humanized Design and Implementation of Computer Software User Interface Based on Visual Data Mining

SOFTWARE IMPLEMENTATION OF AUTOMATED USER INTERFACE TRANSLATION TOOL

Numerous daily activities are long since accomplished using mobile applications and international resources available through the Internet. The majority of such resources support only a limited amount of world languages for the interface. This raises the issue of the need for end users to know the languages required to operate and use these programs. Not every developer in the world has access to professional translation services, or the ability to create such translations on their own. Evaluating these factors shows an existing need of a convenient and accessible program specialized in creating and ensuring quality translation of software user interfaces specifically. Analysis was conducted to determine advantages and disadvantages of possible implementation methods and existing algorithms, i.e. GNU gettext. Based on this analysis requirements for the resulting program are formed, those being a comfortable user interface and a set of functions specific to working with user interfaces and source code files. The list of primary functionality includes interaction with internet services for machine translation and the ability to view the source code of a program or website in context of text elements of the user interface. A program tool for the Microsoft Windows environment that implements all requirements to base functionality is conceptualized and developed. The project version of the program was implemented using C# programming language and Microsoft Visual Studio development environment. The program is specialized for the translation of user interfaces, and enables automation of this process via usage of the Google Translate service. To maximize ease of use the program stores the resulting translation in a simple text format, designed to be loaded and read from during runtime of the target program or website. Also included is a detailed demonstration on the workflow using the interface of the translation program as an example, and potential directions of further developments are determined. Keywords: machine translation; software development; user interface; Google Translate

Study of Teacher's Digital Technology Ability in Online Classroom Management

Teacher TIK competence is the ability of teachers to develop learning by utilizing TIK, such as planning, implementing, and innovating learning. Establishing TIK competence as one of the teacher competencies is a logical consequence of the significant positive influence of TIK on educational activities, especially since the pandemic era. This study aims to determine the awareness and competence of teachers to use digital technology in managing classes in this new average era. This research is fundamental and needs to be done to improve the readiness and mastery of high school teachers in the city of Kendari to use technology and classroom management competencies in the learning process. The method used in this research is a descriptive survey using a quantitative approach. The subjects of this study were 36 samples of teachers at SMA Muhammadiyah Kendari. The results showed that the technology skills of Senior High School teachers were good because the total average score and level of achievement of respondents (LAR) from four indicators of TIK ability (computer/laptop operation, use of computer software, internet, and website usage) had reached 4, 11/82.11%. Although it is in a suitable category, it is still necessary to improve specific skills so that they have a maximum impact on good classroom management and problems solving.

Design and Validation of an Optimal Mechanical Enclosure for LowCost Real-Time Gluten Detection Using NIR Sensor in a Portable Device

Food allergy, specifically gluten intolerance, is a significant global health issue affecting approximately 7% of the population, with the only effective treatment being lifelong adherence to a gluten-free diet. Despite the need, no rapid, low-cost, non-invasive testing device is available for patients with this disease. This research, conducted within the TECAM project funded by the Basque Government and in collaboration with Leartiker and CEIT, aims to design and implement a technological solution for celiac individuals to query gluten contamination of food samples in real time using a low- cost device based on a near infrared (NIR) sensor (DLP NIRscan Nano), with a focus on the mechanical design and validation of the sensor’s integration for optimal NIR spectroscopy. Evaluations of environmental impacts on sample acquisition highlighted the significance of various disturbances like sensor height, light exposure, device temperature, and sample preparation, with tests using the SparkFun AS7263 sensor showing the importance of minimizing sensor height and external turbulence. This necessitated a closed, opaque enclosure, designed with CAD tools and 3D printed, with its efficacy validated using the "Software Usability Scale" (SUS) and "USE Questionnaire". Twenty prototypes were created during this iterative process, and the final design successfully integrates the DLP NIR scan Nano sensor, aligning with the design 4 all philosophy and ensuring optimal sensor functionality. Conclusively, this study offers a low-cost, portable design for a NIR sensor integration to detect gluten, emphasizing the need to minimize environmental disturbances and incorporating user feedback to produce a practical tool for celiacs to non-invasively assess gluten contamination quickly

Analysis of the Functionality of a Mobile Network of Sensors in a Construction Project Supervision System Based on Unmanned Aerial Vehicles

This manuscript presents the results of a project related to the construction and testing of selected devices included in a space inspection and worker supervision system. The most important components of this system are a swarm of unmanned aerial vehicles, a docking station for the automatic charging of many drones, monitoring sensors, and user software that integrates all components responsible for mission planning (UAV raids) and measurement data processing. All components were built according to an original solution. The main part of this manuscript is a description of tests used to verify the functionality of a sensor network for monitoring infrastructural elements and moving objects, including people working on a construction project. As part of this research, procedures for testing sensor networks under laboratory and field conditions were developed. The tests performed demonstrated the ability of the MESH network to self-organize depending on the location of the elements in the network. The system that was built ensured the transmission of data from telemetric devices during UAV flights, regardless of the coverage of terrain by other networks, such as Wi-Fi and GSM networks. Data were sent to the end user via a LAN network based on the IP protocol. The maximum range between devices forming the network and the range limitations caused by various terrain obstacles were also determined.

Advancing balancing machine technology: A cost-effective solution for laboratory and small-medium enterprises

Small-medium enterprises (SMEs) that provide maintenance services to power plant companies, notably on rotor components, encounter a significant challenge in balancing. The main concern is the high cost associated with outsourcing balancing services. The absence of portable balancing machines requires transporting components back to the workshop, resulting in substantial downtime lasting weeks before reinstallation. This paper presents a DIY-compatible balancing machine design and its assembly process, which can be applied to various balancing processes. The design primarily emphasizes mechanical aspects, excluding measurement and instrumentation components, which can be obtained or developed based on the user's software proficiency. The actual expenditure for developing this balancing machine is approximately RM11,698.00. In the development process, benchmarking, concept scoring, functionality evaluations, dynamic analysis, and ideation for workable balancing machine concepts were all involved. The modal analysis demonstrates that the first natural frequency at 279.5 Hz (equivalent to 16,770 rpm) is significantly higher than the motor's excitation frequency, which reaches a maximum speed of around 2800 rpm (46.67 Hz). This result indicates that the dynamic behaviour of the balancing machine does not significantly affect the dynamic results of the rotor balancing process.

Secure software design evaluation and decision making model for ubiquitous computing: A two-stage ANN-Fuzzy AHP approach

Ubiquitous computing systems are deployed everywhere to process and service complex applications in real time. It has been noticed that most ubiquitous computing practitioners are trying to develop a highly secure design while maintaining usability. Unfortunately, the highly secure design of software becomes worthless because the usability of software is very low. When improving the security of software design, underlying security design threats (SDTs) and secure design practices (SDPs) play an important role in improving the design security of ubiquitous computing projects. Therefore, the objective of this study is to develop an SSD evaluation and decision-making model using artificial neural network (ANN) and fuzzy analytical hierarchy process (FAHP), for analyzing the SSD threats and its practices to improve ubiquitous computing. Initially, we identified 11 major SDTs and 50 SDPs to mitigate these threats by conducting an empirical study with 50 ubiquitous computing security experts. Moreover, 13 ubiquitous computing security expert panel reviews were conducted to analyze the interrelationships among the SDTs and SDPs using ANN and FAHP approaches. The ANN outcome presents that the foremost significant independent threat in predicting SSD intention is “SDT2: failure to adhere to accepted security design principles” (100%) importance. Furthermore, the FAHP was used to prioritize the list of SDPs. The results and analysis of this study provide a ranked-based decision-making model, which assists the ubiquitous computing practitioners in considering the most weighted SSD practice (“SDP: Implement Sandboxing and respect for User Privacy” having global weight: 0.05088 and global rank: 1) on priority. The study findings will assist real-world industry experts and academic researchers to improve and develop new techniques for the improvements of ubiquitous computing projects.

Prototype of Intellectual System for Research of Space Weather Parameters

An analysis of the state of space weather research has been conducted, based on which the main problem has been identified and its relevance has been justified. Monitoring, researching, and forecasting space weather conditions receive significant attention in developed countries around the world. Despite significant progress in addressing this issue, the structure of solar-terrestrial connections is not fully understood, and the risks associated with space weather are increasing as the key aspects of our lives become increasingly technologically advanced. Today, in the structure of solar-terrestrial connections the influence of solar activity on the Earth’s lower atmosphere, including atmospheric infrasound and the electric field, remains insufficiently studied. This problem requires an examination of complex interactions that occur when different types of disturbances propagate through the Sun-Earth environment. Based on the developed generalized architecture of an intelligent system for researching space weather parameters, a prototype of this system has been proposed, and its functionality has been determined and developed. The prototype of the intelligent system is a client-server system built on the basis of server software, user software, and application software. The functionality of the intelligent system includes data collection, their preliminary processing, data processing, and visualization of the investigated signals. Data processing for space weather parameters includes spectral analysis of experimental data implemented using windowed Fourier transform and wavelet transform, as well as correlation-regression analysis, which allows for the investigation of the relationship between variables with the aim of identifying unknown causal connections. The intelligent system for researching space weather parameters will help identify new connections in the structure of solar-terrestrial interactions and study the impact of space factors on the Earth’s troposphere. The provided examples illustrate the results of processing experimental data for space weather parameters.

Attentional Bias Modification Training in Virtual Reality: Evaluation of User Experience

Recent technological advances have paved the way for incorporating virtual reality (VR) into attentional bias modification training (ABMT) for the treatment of eating disorders. An important consideration in this therapeutic approach is ensuring the ease and comfort of users of the hardware and software, preventing them from becoming additional obstacles during treatment. To assess this, 68 healthy participants engaged in an ABMT experiment aimed at evaluating various factors, including usability as well as the participants’ comfort while using the VR equipment, task-induced fatigue, and attitudes towards the technology. Our results indicated a favorable usability level for the ABMT proposed in this study. While their discomfort, anxiety, and fatigue increased during the task, these did not significantly impact its execution. However, heightened anxiety and fatigue were linked to lower evaluations of software usability. Other variables considered in the experiment did not notably affect the task.

БАЗА ДАНИХ ДЛЯ АВТОМАТИЗОВАНОГО РОЗПІЗНАВАННЯ ТИПУ БЕЗПІЛОТНОГО АВІАЦІЙНОГО КОМПЛЕКСУ ЗА ЙОГО РАДІОСИГНАЛАМИ

The detection and technical analysis of the radio transmitters radiation of the unmanned aerial complexes elements allows to establish the fact of their use of and to identify type. Recognizing the type of unmanned aerial complex by their radio signals is carried out by comparing the estimated parameters of radio signals with known values stored in the database. The structure of the unmanned aerial complexes radio signal database based on the relational data model is proposed in the article. It is a set of interdependent two-dimensional tables that store information about parameters and characteristics of radio signals of control, telemetry and data radio lines, operating frequencies of receivers of the global navigation satellite systems, as well as purpose, belonging, aerodynamic scheme, appearance, main tactical and technical characteristics and recommendations for countermeasures. Information about the characteristics of unmanned aerial complex channels radio signals contains data on the frequency bands of the radio channel, spread spectrum parameters, modulation parameters, images of amplitude-frequency spectra and spectrograms. The use of the information collected in the database makes it possible to recognize the unmanned aerial complex type by its radio signals and to make a decision about the frequency bands in which the suppression of radio channel receivers, navigation equipment will be carried out, and to choose the most effective radio interference. Special software of the unmanned aerial complexes radio signal database was developed in accordance with the proposed structure. Special software allows you to view, edit, copy, add new information about unmanned aerial complexes, parameters and characteristics of their radio channels, as well as search. The special software user interface provides a simultaneous view of all information about unmanned aerial complex, parameters and characteristics of its radio signals. Keywords: database; radio signal; unmanned aircraft complex; parameter; characteristic; identification; countermeasure; special software.

Adversarial Defense: A GAN-IF Based Cyber-security Model for Intrusion Detection in Software Piracy

Software-piracy continues to be most critical distress, posing grave threats to digital-assets and financial stability. Traditional Intrusion Detection systems (IDS) often battles hard to identify latest piracy attempts owing to their dependence on pre-established patterns. To effectively address this we attempt to suggest innovative approach leveraging DL based Generative Adversarial Networks (GANs) and ML based Isolation Forest (IF) for detecting software piracies. Our proposed GAN-IF based cyber-security model performs its functions by training a Generator network to mimic the behavior of genuine software applications. Discriminator network discriminates between legitimate and pirated software. Isolation Forests assists in detecting anomalies in diverse conditions, including unseen attacks. Integrated training based on DL and ML framework enables efficient learning and adaptation with respect to piracy challenges, making it highly-successful against prior known threats. There are several DL models which are utilized in IDS operations having limitations in terms of robustness, interpretability. Utilizing GAN in the context of cyber-security to combat software-piracy can have noteworthy merits since GANs can precisely identify forged software as they are skilled at generating fake content resembling actual. Training a GAN on legitimate software, helps to learn and identify disparities in pirated versions. Isolation-Forest can detect anomalies in software distribution networks or user behavior with respect to software usage by recognizing abnormal patterns indicating software piracy, like illegal access or sharing of software licenses. Our proposed model combines GANs and Isolation Forests, excels at accurately detecting subtle indicators of software piracy, a capability that traditional methods may fail to recognize. ML-DL integrated model continuously learns and updates its detection capabilities in response to evolving piracy tactics, making it resilient against zero-day attacks, polymorphic malware. Through adversarial training, ml-model minimizes false alarms and focuses only on genuine threats. In our evaluation, we demonstrate the effectiveness of GAN-IF based cyber-security model in detecting software piracy attempts across various scenarios. Results indicate that our approach outperforms traditional solutions in terms of detection accuracy and adaptability.

Research into the world of Cloud-Virtual Reality

Virtual Reality technology has not been able to penetrate the mainstream consumer market due to restrictions on hardware and content. With the advancement of cloud computing technologies, Virtual Reality hardware and technology applications may now be supported strongly. The metaverse, cloud VR gaming, and cloud VR stimulator are just a few of the real-world applications that are now employing cloud computing in Virtual Reality. We can lower the cost of Virtual Reality technology which would begin a new era of many users to apply cloud-based technologies. With the aid of technology, it will be possible to operate from anywhere without having to transport a lot of equipment. The performance, usability, and compatibility of Virtual Reality software and hardware can be improved by cloud computing on the level of hardware and content. The VR dataset is made available for public collaboration through the Internet using a VR-Cloud server. The digital asset that represents the layout of our pedestrian bridge comprises images of all the streets, buildings, trees, and other urban amenities. In the virtual environment of the metropolitan area, where they run and stroll according to predetermined behaviour scenarios, the cars and people are created and entered. By employing cloud communication software to analyse simulations of vehicles and pedestrian crowds and to debate design ideas, users share the VR reality by connecting to the VR Cloud servers from remote devices. This research demonstrates how VR-cloud may be combined with Neuralink and NFT in the virtual world for future enhancement. This paper is a research note on cloud computing and its application using the Virtual Reality (VR) platform for the modern world with futuristic innovations. Keywords: Cloud Computing, Metaverse, Neuralink, Virtual Reality, VR-Cloud.)