System Development Process Research Articles

Model‐based systems engineering and safety assessment: A workflow for mechatronic systems design

AbstractMechatronic systems become ever more complex because of their increasing number of interconnected safety critical components and sophistication. MBSE (Model‐based Systems Engineering) and MBSA (Model‐Based Safety Assessment) are the most commonly adopted approaches to deal with the design and safety analysis of mechatronic systems. Unfortunately, both approaches are normally adopted separately, especially in the earlier phases of system design, thus leading to a lack of communication between system engineers and the safety team. This work aims to fill that gap at a high level, that is, through process interaction. This paper proposes an enhanced V‐model for the design of safety‐critical mechatronic systems. It relates a system development process with specific safety assessment methods. Specifically, the proposed workflow details exchange flows between the RFLP (Requirements, Functional, Logical, Physical) method, the FHA (Functional Hazard Analysis), the FMEA (Failure Mode and Effects Analysis), the MBSA and simulation, and the FTA (Fault Tree Analysis). These analyses are complemented with multiphysics modeling and simulation to observe system behavior in functional and failure scenarios, with the aim of requirements verification. The design workflow has been applied to a winged Unmanned Aerial Vehicle to apply the parallel process and the necessary interaction of MBSE and MBSA approaches. The information flows between the individual activities proved effective for designing a safe system before the verification phase. The main benefit of the proposed workflow is providing both the design and safety team with some interaction points, thus avoiding a lack of safety‐critical analysis in the early phases of system design.

Improving reuse during the development process for web systems

Software reuse has emerged as a crucial practice in the software industry, offering significant benefits in time-to-market, and resources management. This is particularly pertinent in web systems development, where the integration of diverse technologies and the varied backgrounds of technical teams pose substantial challenges. The rapid expansion of web systems underscores the urgent need to adopt best practices and methodologies for web system reuse to streamline the development process, reducing effort, cost, and time. This paper aims to identify the key challenges of web system reuse in the context of small and medium-sized software companies in Egypt and Saudi Arabia. Using qualitative research methods, including interviews, focus groups, and participant observations, an empirical study was conducted to examine current reuse practices and understand the root causes of common challenges. Based on the results of the empirical study, a systematic approach was developed to enhance web system reuse during the development process in the context of small and medium-sized software companies in Egypt and Saudi Arabia. The proposed approach addresses critical gaps in current practices, offering practical guidelines to improve efficiency, reduce development time, and enhance overall software quality. This research contributes to the broader discourse on software reuse by providing context-specific insights and adaptable solutions that are relevant to similar markets worldwide.

Ethical design through grounding and evaluation: The EDGE method for designing information systems for social impact

The development of effective socio-technical information systems requires designers to balance ethical goals with functional capabilities and business objectives. To address this challenge, we propose EDGE, a novel ethical design method that focuses on two key activities in the systems development process—ethical grounding and evaluation of ethical impacts. We provide an empirical example of the EDGE method by applying it to the redesign of a sustainable application in the energy industry. This empirical example reveals the need for ethical clarity to ground and evaluate the app to achieve improved ethical performance and social impacts. We conclude with the implications of the new ethical design method and future research directions for its application and enhancement.

Optimization of Banyuwangi Festival Management through ERP-Tourism Using Dashboard

Tourism is an economic sector that has an important role in regional economic growth, including in Banyuwangi Regency. Banyuwangi Festival, as one of the main attractions, faces various challenges in its management, ranging from event coordination to performance monitoring. This research aims to optimize the management of Banyuwangi Festival through the implementation of Enterprise Resource Planning (ERP)-Tourism supported by the use of interactive dashboards. This research utilizes the Rapid Application Development (RAD) method, which involves various stakeholders in the system development process. The research findings show that the implementation of ERP-Tourism and interactive dashboards is able to improve the efficiency, effectiveness, and quality of festival management. The theoretical implications of this research include the development of literature related to the use of ERP technology in the tourism sector and its contribution to event management. Practically, the results of this study can be used as a guide for festival managers in improving the quality and efficiency of their events. Recommendations for future research include expanding the application of the ERP-Tourism system to other tourism events in Banyuwangi and other regions, as well as further developing dashboard features to meet the specific needs of different types of events. Thus, it is expected that this system can provide wider and sustainable benefits to the tourism sector and regional economy

Development process of decision support systems using data mining technology

Development process of decision support systems using data mining technology

Structure and process: A theoretical model of intelligent elementary Chinese vocabulary teaching

With the rapid development of artificial intelligence technology, Chinese vocabulary teaching is gradually entering an era of innovation, offering vast potential for more intelligent and personalized teaching models. Existing research mostly focuses on the auxiliary role of AI technology in second language teaching, with less attention given to the implementation of intelligent second language teaching. To address this issue, this study, based on the perspective of Artificial Intelligence Generated Content (AIGC), attempts to construct an elementary Chinese vocabulary teaching (ECVT) theoretical model, presenting the development process of an ECVT system. From the existing research literature on Chinese vocabulary teaching, a total of 17 viewpoints on teaching structures and 19 viewpoints on teaching processes for ECVT are outlined. Based on this, the study first establishes the fundamental macro-level phases of ECVT, then delves into the micro-level structures and processes of each phase, ultimately deducing a theoretical model for ECVT oriented towards intelligent teaching. Integrating the perspectives of artificial intelligence deconstruction and generation into the research on Chinese vocabulary teaching not only offers front-line teachers a reference for optimizing teaching models but also provides a more forward-looking and scientifically grounded framework for Chinese language teaching, even other language teaching. This hence propels innovation in second language teaching models.

The Development of an Electronic Medical Record System to Improve Quality of Care for Individuals With Type 1 Diabetes in Rwanda: Qualitative Study.

Electronic medical record (EMR) systems have the potential to improve the quality of care and clinical outcomes for individuals with chronic and complex diseases. However, studies on the development and use of EMR systems for type 1 (T1) diabetes management in sub-Saharan Africa are few. The aim of this study is to analyze the need for improvements in the care processes that can be facilitated by an EMR system and to develop an EMR system for increasing quality of care and clinical outcomes for individuals with T1 diabetes in Rwanda. A qualitative, cocreative, and multidisciplinary approach involving local stakeholders, guided by the framework for complex public health interventions, was applied. Participant observation and the patient's personal experiences were used as case studies to understand the clinical care context. A focus group discussion and workshops were conducted to define the features and content of an EMR. The data were analyzed using thematic analysis. The identified themes related to feature requirements were (1) ease of use, (2) automatic report preparation, (3) clinical decision support tool, (4) data validity, (5) patient follow-up, (6) data protection, and (7) training. The identified themes related to content requirements were (1) treatment regimen, (2) mental health, and (3) socioeconomic and demographic conditions. A theory of change was developed based on the defined feature and content requirements to demonstrate how these requirements could strengthen the quality of care and improve clinical outcomes for people with T1 diabetes. The EMR system, including its functionalities and content, can be developed through an inclusive and cocreative process, which improves the design phase of the EMR. The development process of the EMR system is replicable, but the solution needs to be customized to the local context.

Flap Monitoring Techniques: A Review.

Postoperative tissue flap vitality monitoring enables early detection of clinical complications, allowing for intervention. Timely re-operation can prevent the need for extensive correction procedures, thus reducing healthcare costs and hospitalization time. Statistics show that monitoring can increase the success rate of flap survival to 95% or higher. However, despite the significant progress in monitoring techniques, major and minor complications, leading to the loss of the flap, still occur. This clinical application review aims to provide a comprehensive overview of the recent advancements and findings in flap surgery reconstructions, transplants, and systems for their postoperative assessment. The literature from the years 1925 to 2024 has been reviewed to capture previous and current solutions for monitoring flap vitality. Clinically acclaimed methods and experimental techniques were classified and reviewed from a technical and clinical standpoint. Physical examination, metabolism change, ultrasound method, and electromagnetic (EM) radiation-based measurement methods were carefully evaluated from the perspective of their considered applications. Guidelines aiding engineers in the future design and development process of monitoring systems were proposed. This paper provides a comprehensive overview of the monitoring techniques used in postoperative flap vitality monitoring. It also gives an overview of each approach and potential ways for future development.

Establishment of an Evaluation Indicator System and Evaluation Criteria for the Weihe River Ecological Watersheds

Ecological watersheds (eco-watersheds) are of great significance for boosting the construction of ecological civilization and realizing the ecological protection and high-quality development of watersheds. In order to establish a scientific eco-watershed evaluation index system, this paper refers to the river health evaluation index system, the water resources coupling evaluation index system, and the happy river evaluation index system, and reviews the development process of the ecological watershed evaluation index system. According to the eco-watershed theoretical system, combined with the relevant contents of policies and regulations, thousands of evaluation indicators that have been collected are screened using the theoretical analysis method and the frequency analysis method. Finally, a comprehensive evaluation index system of Weihe River eco-watersheds was constructed, including three first-level indicators: watershed water resources, socio-economic, and ecological. These were further subdivided into eight second-level indicators, namely water security, water resources, water economy, water management, water culture, water environment, water ecology, and water landscape. These second-level indicators were then further broken down into 60 third-level indicators. On the basis of determining the evaluation standards of Weihe River eco-watersheds, the evaluation weights were determined using the gray correlation method and the AHP-entropy comprehensive weight method (comprehensive weight), resulting in the establishment of an evaluation model and a coupling model for the eco-watersheds of the Weihe River. The results of the Weihe River eco-watershed evaluation model and the coupled coordination degree evaluation model show that, from 2019 to 2021, both the gray correlation analysis weights and comprehensive weight evaluation show a yearly increasing trend; the evaluation results are in the eligible status and below; and the evaluation grade is in the fourth-level eco-watersheds and below. Based on the evaluation results of each dimension, when comparing the gray correlation analysis weights with the evaluation of the comprehensive weights, the latter align more closely with the actual Weihe River Watershed. When comparing the evaluation results of the Henan Weihe River Watershed with those of the Handan Weihe River Watershed, the latter’s results, influenced by the scheduling of the Yuecheng Reservoir, are relatively better. Furthermore, in the evaluation of coupling coordination, the water resources subsystem is less coupled to other subsystems due to the 2021 flood. Therefore, in order to effectively improve the level of eco-watersheds, scientific and reasonable water resources scheduling programs should be developed.

Innovation of the global international ship registry system: Evolution process and future reforms

The innovation and governance of the global international ship registry system have become key to achieving sustainable development for maritime nations worldwide. For a long time, many maritime nations have chosen to fly flags of convenience for commercial or political reasons, causing major maritime nations to lose effective control over their fleets. To counteract the negative impacts of flags of convenience, major maritime nations have established international ship registry systems. This paper analyzes the development process and basic characteristics of the global international ship registry system, points out the main problems in its implementation, and proposes major directions for innovation and governance of the international ship registry system worldwide. By reviewing the development history of the global international ship registry system, evaluating key issues in its implementation, and constructing future reform and governance directions, this paper aims to provide policy innovation suggestions for the ship registry policy reforms of global maritime nations.

Identification of digital device hardware vulnerabilities based on scanning systems and semi-natural modeling

Objectives. The development of computer technology and information systems requires the consideration of issues of their security, various methods for detecting hardware vulnerabilities of digital device components, as well as protection against unauthorized access. An important aspect of this problem is to study existing methods for the possibility and ability to identify hardware errors or search for errors on the corresponding models. The aim of this work is to develop approaches, tools and technology for detecting vulnerabilities in hardware at an early design stage, and to create a methodology for their detection and risk assessment, leading to recommendations for ensuring security at all stages of the computer systems development process.Methods. Methods of semi-natural modeling, comparison and identification of hardware vulnerabilities, and stress testing to identify vulnerabilities were used.Results. Methods are proposed for detecting and protecting against hardware vulnerabilities: a critical aspect in ensuring the security of computer systems. In order to detect vulnerabilities in hardware, methods of port scanning, analysis of communication protocols and device diagnostics are used. The possible locations of hardware vulnerabilities and their variations are identified. The attributes of hardware vulnerabilities and risks are also described. In order to detect vulnerabilities in hardware at an early design stage, a special semi-natural simulation stand was developed. A scanning algorithm using the Remote Bitbang protocol is proposed to enable data to be transferred between OpenOCD and a device connected to the debug port. Based on scanning control, a verification method was developed to compare a behavioral model with a standard. Recommendations for ensuring security at all stages of the computer systems development process are provided.Conclusions. This paper proposes new technical solutions for detecting vulnerabilities in hardware, based on methods such as FPGA system scanning, semi-natural modeling, virtual model verification, communication protocol analysis and device diagnostics. The use of the algorithms and methods thus developed will allow developers to take the necessary measures to eliminate hardware vulnerabilities and prevent possible harmful effects at all stages of the design process of computer devices and information systems.

Implementation Web-Based Qr-Code Information System Design in Warehouse Inventory Management System Using Rapid Application Development (RAD) Method at PT Dharma Precision Parts

This research aims to implement a web-based information system using QR-codes in warehouse inventory management using the Rapid Application Development (RAD) method. The implementation of QR-code technology is expected to increase efficiency and accuracy in the process of tracking and managing goods in warehouses. The RAD method was chosen because of its ability to speed up the system development process through rapid iteration and prototyping. The results of this implementation show significant improvements in warehouse operational efficiency as well as reduced human error in inventory recording and tracking. With a web-based information system, users can easily access and manage inventory data in real-time, increasing transparency and accuracy of information

Development of the Online Data Processing System for the BM@N Experiment at NICA

Development of the Online Data Processing System for the BM@N Experiment at NICA

Financial Application for the STMIK Mardira Indonesia Educational Institution

The waqf asset management system is essential for maximizing and optimizing the managed assets to achieve the highest and most favorable outcomes. A professional waqf institution in Bandung possesses waqf assets dispersed throughout several regions in Indonesia, and its management has successfully reached the level of optimizing productive waqf. Nevertheless, waqf assets are managed manually, leading to slower and worse management practices. This research aims to address the issue of managing waqf assets by applying ISO 55001 to the waqf asset management system in a selected professional waqf institution in Bandung. The research approach employs descriptive analysis with the Object-Oriented Software Engineering (OOSE) system development process. The results reveal eight functions based on 8 and 9 criteria that should be present in the asset management system according to ISO 55001. The program incorporates these eight functionalities and achieves a System Usability Scale (SUS) score of 84.6, signifying a B grade and outstanding acceptance. The ISO 55001 certification readiness level is 57.14%, as determined by the ISO 55001 Self-assessment conducted by the British Standard Institute (BSI). The researcher utilized Black Box testing to evaluate the program's functionality, and the findings indicate that all operations are functioning as anticipated.

Human readiness levels and Human Views as tools for user‐centered design

AbstractThe Human Readiness Level (HRL) scale is a simple nine‐level scale that brings structure and consistency to the real‐world application of user‐centered design. It enables multidisciplinary consideration of human‐focused elements during the system development process. Use of the standardized set of questions comprising the HRL scale results in a single human readiness number that communicates system readiness for human use. The Human Views (HVs) are part of an architecture framework that provides a repository for human‐focused system information that can be used during system development to support the evaluation of HRL levels. This paper illustrates how HRLs and HVs can be used in combination to support user‐centered design processes. A real‐world example for a U.S. Army software modernization program is described to demonstrate application of HRLs and HVs in the context of user‐centered design.

Development of a Body Weight Support System Employing Model-Based System Engineering Methodology

Partial body weight support systems have proven to be a vital tool in performing physical therapy for patients with lower limb disabilities to improve gait. Developing this type of equipment requires rigorous design process that obtains a robust system, allowing physiotherapy exercises to be performed safely and efficiently. With this in mind, a “Model-Based Systems Engineering” design process using SysML improves communication between different areas, thereby increasing the synergy of interdisciplinary workgroups and positively impacting the development process of cyber-physical systems. The proposed development process presents a work sequence that defines a clear path in the design process, allowing traceability in the development phase. This also ensures the observability of elements related to a part that has suffered a failure. This methodology reduces the integration complexity between subsystems that compose the partial body weight support system because is possible to have a hierarchical and functional system vision at each design stage. The standard allowed requirements to be established graphically, making it possible to observe their system dependencies and who satisfied them. Consequently, the Partial Weight Support System was implemented through with a clear design route obtained by the MBSE methodology.

Exploitation Process for Machine Learning Systems

In recent years, many companies have been involved in the development of machine learning systems. However, developing machine learning systems presents unique challenges compared with the traditional IT system development. In software engineering, research has been conducted on software development methodologies for machine learning systems, but most of these studies focused on the development process of individual machine learning systems, and limited research has investigated the exploitation process of continuously enhancing machine learning systems after their development and deployment. Thus, this paper focuses on the exploitation process, in which the collaboration between the machine learning systems and humans evolves gradually. Specifically, four stages of the exploitation process are proposed: visualization for machine learning, human-centered machine learning assistance, machine learning-centered human assistance, and autonomy without human involvement. Then, the characteristics and challenges of each stage are clarified. In addition, this paper examines the important aspect of trust in this context. The findings of this study are expected to provide guidelines for advancing machine learning systems incrementally in collaboration with humans from the perspective of the exploitation process rather than focusing on the development process.

Effects of gestational hypothyroidism on mouse brain development: Gabaergic systems and oxidative stress

Hormonal imbalance during pregnancy is a risk factor for neuropsychiatric impairment in the offspring. It has been suggested that hypothyroidism leads to dysfunction of cortical GABAergic interneurons and inhibitory system development that in turn underlies impairment of the central nervous system. Here we investigated how gestational hypothyroidism affected offspring GABAergic system development as well as redox regulation parameters, because of previous links identified between the two. Experimental Gestational Hypothyroidism (EGH) was induced in CD-1 mice with 0.02% methimazole (MMI) in drinking water from embryonic day 9 (E9) until tissue collection at embryonic day 14 (E14) or E18. We examined GABAergic cell distribution and inhibitory system development gene expression as well as redox relevant gene expression and direct measures across all embryos regardless of sex. Intrauterine restriction of maternal thyroid hormones significantly impacted both of these outcomes in brain, as well as altering redox regulation in the placenta. GAD67+ neuronal migration was reduced, accompanied by a disruption in gene expression influencing GABAergic cell migration and cortical inhibitory neural system development. EGH also altered embryonic brain gene expression of Gpx1, Nfe2l2, Cat levels in the dorsal E14 brains. Additionally, EGH resulted in elevated TBARS, Gpx1 and Nfe2l2 in the ventral E18 brains. Furthermore, EGH downregulated placental Gpx1 gene expression at E14 and increased protein oxidation at E18. These findings support the hypothesis that sufficient maternal thyroid hormone supply to the fetus influences central nervous system development, including processes of GABAergic system development and redox equilibrium.

Underwater Mapping and Optimization Based on Multibeam Echo Sounders

Multibeam echo sounders (MBESs) enable extensive underwater environment exploration. However, due to weak correlation between adjacent multibeam sonar data and difficulties in inter-frame feature matching, the resulting underwater mapping accuracy frequently falls short of the desired level. To address this issue, this study presents the development of a multibeam data processing system, which includes functionalities for sonar parameter configuration, data storage, and point cloud conversion. Subsequently, an Iterative Extended Kalman Filter (iEKF) algorithm is employed for odometry estimation, facilitating the initial construction of the point cloud map. To further enhance mapping accuracy, we utilize the Generalized Iterative Closest Point (GICP) algorithm for point cloud registration, effectively merging point cloud data collected at different times from the same location. Finally, real-world lake experiments demonstrate that our method achieves an Absolute Trajectory Error (ATE) of 15.10 m and an average local point cloud registration error of 0.97 m. Furthermore, we conduct measurements on various types of artificial targets. The experimental results indicate that the average location error of the targets calculated by our method is 4.62 m, which meets the accuracy requirements for underwater target exploration.

A Proposal for Model‐Based Systems Engineering Method for Creating Secure Cyber‐Physical Systems

AbstractRising levels of risk as cyber‐attackers look to exploit system vulnerabilities threatens the Air Traffic Control industry. Attacks on Air Navigation Service Providers' communications systems may lead to airspace closure and even cause safety issues. This paper presents a novel Model‐Based Systems Engineering method that enables systems engineers, in collaboration with system security and software engineers, to perform threat‐modeling analysis of cyber‐physical systems early in the system development process and incorporate mitigation strategies into the system design. The proposed model‐based method covers few security concepts, including misuse cases, system assets, threats, risks, vulnerabilities, and security control identification. The study found that the proposed method is suitable for conducting security analysis for complex cyber‐physical systems early in the system development process.