System Design Issues Research Articles

Fairness mechanism and stackelberg strategy for multi-agent systems: A case study of legends of the three kingdoms

Alongside the rapid advancement of artificial intelligence technologies, the complexity of society continues to escalate, and the design of multi-agent system rules becomes increasingly crucial, optimize participant engagement and addressing the issue of fairness and equilibrium win rates. The card game Legends of the Three Kingdoms (LTK), as a complex multi-agent system, represents an important abstraction of real-world scenarios, requiring the implementation of proper incentive mechanisms. Based on the mechanism and Stackelberg, this paper optimizes player strategies and system fairness. Firstly, we constructed a multi-agent Stackelberg game model for team battles. Then, we analyzed the impact of decision-making factors on players. Subsequently, we defined three kinds of fairness and improved the incentive mechanism. The results indicate that our mechanism optimizes participants' game behaviors, enhancing fairness among team players. Win rates were improved from 56.2% VS 43.8% to 51.4% VS 48.6%. With three different fairness measures, the win percentage fairness increased by 72 %, and the first elimination fairness increased by about 79 %. Our research provides a reference for understanding and analyzing complex computational models and facilitates the resolution of various resource allocation and system design issues.

Using the Scrum Method to Developing Population Information System

The adoption of Population Information System is crucial to enhance work effectiveness and serves as a manifestation of transparency in population data management. The complexity from design to implementation of such a population information system poses its own challenges. There are at least three main issues in system design, namely time estimation, team management, and ensuring the quality of system being developed. These issues must be addressed early on to prevent potential team management problems during the design and development stages of the application. One suitable method that can be employed for the design of the population information system is the Scrum methodology. Scrum is a software development framework that emphasizes a collaborative and adaptive approach. It falls under the Agile methodology, aiming to produce products that are more responsive to changes and enabling teams to adapt quickly in a dynamic environment. Scrum also promotes transparency in the development process, aiding in monitoring system progress and information accuracy. Compared to the commonly used Waterfall method, the Scrum approach offers greater flexibility in dealing with changes in requirements or needs that may arise during the development process. While the Waterfall method tends to follow predefined in linear steps. The novelty of this research lies in the proactive approach to addressing the complexity of designing population information systems by implementing Agile methodologies such as Scrum. Thus, it is expected that the implementation of Scrum will bring significant changes in improving the effectiveness and transparency in the development of population information systems.

Design methodology and simulation analysis of hybrid fuel cell and battery systems for powering unmanned aircraft systems

Hybrid fuel cell and battery systems are currently among the most promising options for increasing the flight autonomy of unmanned aircraft systems. The ratio between the size of the battery and the fuel cell is a delicate issue in power system design. Both devices are necessary; the battery, with a quick response, to respond to demand peaks, and the fuel cell, with a slow dynamic response, but greater energy density, to increase its autonomy. One of the most important tasks in designing the hybrid system is selecting the appropriate size of each component so that it can respond to peak demands, extend its autonomy as far as possible and reduce its weight.The purpose of this research was to establish a design procedure for hybrid power systems for unmanned aerial systems, which means selecting the best size for each component. The hybrid system's modeling and the dynamic simulation of its response to demand curves are the foundation of this procedure. The simulation results include the consumption of the fuel cell as a function of time, the battery’s charge status and an estimate of its autonomy for each demand curve. The analysis of the simulation results guides the choice of component size, adapting each one to achieve minimum fuel consumption for the characteristic demand curves for which the unmanned aircraft system is designed. After modeling the components of the hybrid system and describing the simulation procedure, this contribution proposes an example of a design for an unmanned aircraft system with a maximum takeoff weight of 20 kg. In this case, the most appropriate size for the fuel cell was 2000 W and a 3000 mAh 10S Lithium-Polymer battery. Fitted with a 12-liter hydrogen tank, stored at a maximum pressure of 300 bar, an estimated autonomy of 1.5 h can be expected.

International comparison of the financing mechanism of basic medical insurance and its implications for China

Background: For more than 20 years, China's basic medical insurance system has realized the span from "system construction" to "improving quality and efficiency". At present, as the core issue of medical insurance system design, the current financing mechanism is difficult to adapt to the current situation and tasks. Objectives: Based on the theory of social equity, this paper uses literature analysis and comparative research to analyze the forms of social health insurance financing in four developed countries: Germany, the United States, Singapore and the United Kingdom. On this basis, it makes a systematic reference and reflection on the financing mechanism of basic medical insurance in China. Methods: The author adopts the method of literature analysis and comparative study. Through the existing research literature and the theoretical analysis of the medical insurance financing mechanism, the conceptual connotation and dimension of the basic medical insurance financing mechanism are further summarized and analyzed, which provides the reference and theoretical basis for the writing ideas of this paper. By analyzing and comparing the typical practice of the social medical insurance model in four developed countries, the basic ideas, main practices, direction goals, principle adherence, implementation results, realistic difficulties and obstacles of obtaining medical insurance financing are discussed. This paper analyzes the development status of medical insurance financing mechanism between China and four developed countries by means of classification, induction and comparison, and puts forward the optimization path based on the experience of the latter's fair practice. Results: it proposes that the current funding mechanism of China's basic medical insurance has three problems: An unbalanced funding structure and unreasonable sharing of responsibility; low level of coordination and unfair funding method; and dynamic growth mechanism of endogenous medical insurance funding has not yet been established. Main Contribution to Evidence-Based Practice: On the basis of the international experience, the author puts forward some enlightening reform measures to solve the existing problems in China: first, through the reasonable definition of the rights and responsibilities of multi-stakeholder, to construct the appearance of fair implementation; Second, reform the existing fixed financing methods and establish a fair financing mechanism linked to income; The third is to improve the actuarial mechanism of fund adjustment and promote the dynamic and sustainable growth of medical insurance funds. We will further optimize the financing mechanism of basic medical insurance and promote the high-quality and sustainable development of China's basic medical insurance.

Digital media system design and visual art analysis based on information security

BackgroundWith the growing maturity of Internet technology and 5G transmission technology, digital media systems begin to present more complex scenario applications. Software design security issues are also increasingly evident in digital media systems. This paper analyzes the security issues of digital media system design from the perspective of software protection security. Discussed based on the information security digital media system design and visual art analysis. MethodsThis paper discusses based on the software security protection design and visual art analysis, first proposed the media convergence and information security risk assessment research, including media convergence cognition, information security risk management theory, system information security risk assessment methods and based on the media under the digital certificate. Secondly, the information security algorithm based on digital media technology is studied. From the basic knowledge of digital image, a method of image encryption based on the change of pixel value, the common algorithm of digital image watermarking technology and the encryption technology of digital media are summarized. ResultsExperiments were carried out on three art painting data sets, including Painting91, Oil Painting and Pandora. Compared with the existing label distribution learning methods on the Painting91style dataset, the algorithms SA-IIS and SA-BFGS achieve the classification accuracy of 65.51 % and 66.52 %, respectively. The classification result of the baseline method of VGGNet is 63.89 % on the OilPainting dataset. On the Pandora-style dataset, the classification accuracy of MSCNN1 method is 71.32 %, and the experimental results of CNNF4 method reach 71.76 %. ConclusionThe method proposed in this paper has good application results in different data sets, and the digital media art design system has high reliability and fault tolerance. From the perspective of information security, different index systems have higher security levels.

NQF기반 대학 역량기반교육체계 설계 이슈 고찰

This study comprehensively analyzed domestic and overseas cases implementing the National Qualifications Framework (NQF) and explored design issues that could be linked to the competency-based education system of domestic universities. To this end, we suggested the educational system design characteristics of domestic and overseas NQFs and suggest a way to link the results to the design of competency-based education systems in domestic universities. The main research results were that the NQF education system design was analyzed into 5 areas and 11 characteristics, and 3 improvement issues were presented to reflect this in the design of competency-based curriculum in domestic universities. First, there is a need to establish a competency qualification system required by the national-regional level and design a competency-based education system in connection with it. Second, it is necessary to design a curriculum completion system based on the 'competency qualification achievement system' so that learners can achieve their learning goals and acquire competency levels. Moreover, it is necessary to design a completion system so that the learning time required to reach the learning goal is calculated as credits, and learning experiences outside of school can also be recognized as qualifications. Third, it is necessary to establish and implement a system of 'regional governance' for matching industrial talents between universities and companies. In other words, the university is a center that can form various partnerships between the region and companies, and it can nurture local talents.
 In short, by applying the competency-based education system design issues derived from this study, it is expected to contribute to an educational mechanism that can solve the mismatching of talents between universities and companies by transforming the competency-based education system of domestic universities into a competency qualification system (RQF) linked to regions and industries.

Determination of Hydrogen’s Thermophysical Properties Using a Statistical Thermodynamic Method

Accurate determination of the thermophysical properties of hydrogen is a crucial issue in hydrogen system design. By developing computational programs, a statistical thermodynamic model based on fundamental equations of state was implemented to determine hydrogen’s thermophysical properties, including the ortho-hydrogen fraction in equilibrium hydrogen, para-ortho hydrogen conversion heat, isobaric heat capacities and enthalpies. The deviations of calculated para-hydrogen enthalpies from REFPROP data were within 2.22%, ranging from 20 K to 300K at 0.1 MPa, and within 2.32% between 100 K and 1500 K at pressures from 0.1 MPa to 20 MPa. To quantitatively assess the convenience of the statistical thermodynamic method, the running speeds of programs with different methods for determining hydrogen’s thermophysical properties were compared. The time required for statistical thermodynamic calculation was 7.95% that required for treading REFPROP data when the performance of the variable density multilayer insulation combined with a one vapor-cooled shield and para-ortho hydrogen conversion was calculated. The programs developed based on the statistical thermodynamic method can be used to determine the thermophysical properties of hydrogen or other fluids.

Video Observations and Large Accessible Transit Vehicle Operator Evaluations of Two Wheelchair Securement Systems

Wheelchairs need to be secured properly during transit to reduce the risk of passenger injury. New wheelchair securement systems have been developed in an attempt to provide increased usability and independence for passengers who need to use them. This field study evaluated newer wheelchair securement system usage through a retrospective review of on-board video surveillance recordings and large accessible transit vehicle (LATV) operators’ perceived usability of two newer wheelchair securement systems on fixed-route LATVs. Results showed that nonuse and misuse of securement systems were more prevalent with trips using the 3-point, forward-facing (3P-FF) tiedown system compared with trips using the semi-automated, rear-facing (SA-RF) system. While a majority of nonuse and misuse of the 3P-FF system was because of LATV operator error, the reasons for nonuse and misuse of the SA-RF system were more complex and mostly involved system design and transit policy issues. Operators most preferred using the 3P-FF system on the LATV rather than the SA-RF system. Findings support the need for further development and implementation of wheelchair securement with improved usability, innovative securement systems that can be operated independently by wheelchair users, and improved securement training for bus operators and wheelchair passengers.

Characterization and Mitigation of Conducted Emissions in a SiC Based Three-Level T-Type Motor Drive for Aircraft Propulsion

This paper presents the full-scale high power inverter design considerations that are needed for minimum conducted noise propagation throughout the system. Specifically, system design issues pertaining to high current and high altitude, high switching transients during commutation process, ribbon cables for high-speed signal transmission, strict conducted emissions requirements and motor side bearing/leakage currents are discussed. Based on the underlying deficits for high power motor drives, layout and circuit design methodologies are proposed to tackle such problems, while keeping costs at a bare minimum. Subsequently, modeling and prediction of common-mode (CM) and differential-mode (DM) noise is made possible using accurate lumped inverter and filter models, allowing for a better understanding of the sensitive components contributing to peak CM-DM noise. A high power (211 kW) rated three level T-type inverter prototype is used to demonstrate the viability of the proposed design techniques for reliable system operation and conducted electromagnetic interference (EMI) emissions mitigation.

Dimensions of Diversity, Equity, and Inclusion

This paper reports on the ACM SPLASH 2022 conference panel on the Software Profession Dimensions of DEI [Diversity, Equity, and Inclusion]. The panelists observed that increased awareness for the dimensions of DEI will help reduce inequity in systems and technologies. The panel further observed that there are dimensions of diversity to consider beyond age, color, gender, and physical ability. As technologists, we need to leverage diverse talents and perspectives, including by those who may not have in-depth domain knowledge or a university education specific to computer science or engineering. Panelists included academic researchers and industry practitioners: experts in human-computer interaction, teamwork, AI applications, systems design, and gender diversity issues. The hybrid organization of the panel enabled participants from Taiwan and North America to join the in-room Australian and New Zealand panelists. Panelists explored a variety of related topics, ranging from how software can cause harm to the risks of "unconscious bias" in R&D and the challenges of building diverse teams. Panelists shared observations that AI and ML systems can be negatively impacted by the bias inherent with inadequate or incomplete training data used to tune algorithms. The panel discussed and summarized questions to foster increased DEI awareness by software professionals, researchers, and community leaders.

RAM Analysis at Gas Turbine Power Plant with Six Sigma Method

The goal of this study is to identify breakdown that has an impact on the gas turbine engine's RAM and Six Sigma level in order to assess how well the gas turbine engine performance through the value of RAM (Reliability, Availability, and Maintainability) and Six Sigma. By gathering, compiling, categorizing, and conducting an analysis of data and information on the utilization of gas turbine engines, based on actual data and information, the descriptive analysis method is used to reveal the availability and performance of gas turbine engines. The findings of the RAM and Six Sigma level are examined utilizing the Pareto chart to identify the most impacted breakdown, the Fishbone diagram for root cause analysis, and the five why analysis approach for improvement suggestions. According to research findings, control system failure, VGV system failure, and load distribution problem have an impact on the RAM and Six Sigma level of two gas turbines. The Root cause of the issue is due to a number of factors, including mostly due to technical issues of unreliable old control system and VGV system design, an incorrect maintenance schedule implementation, an incompetent and ignorant of operator or technician to gas turbine engines.

Biometrics: Trust, But Verify

Over the past two decades, biometric recognition has exploded into a plethora of different applications around the globe. This proliferation can be attributed to the high levels of authentication accuracy and user convenience that biometric recognition systems afford end-users. However, in-spite of the success of biometric recognition systems, there are a number of outstanding problems and concerns pertaining to the various sub-modules of biometric recognition systems that create an element of mistrust in their use - both by the scientific community and also the public at large. Some of these problems include: i) questions related to system recognition performance, ii) security (spoof attacks, adversarial attacks, template reconstruction attacks and demographic information leakage), iii) uncertainty over the bias and fairness of the systems to all users, iv) explainability of the seemingly black-box decisions made by most recognition systems, and v) concerns over data centralization and user privacy. In this paper, we provide an overview of each of the aforementioned open-ended challenges. We survey work that has been conducted to address each of these concerns and highlight the issues requiring further attention. Finally, we provide insights into how the biometric community can address core biometric recognition systems design issues to better instill trust, fairness, and security for all.

Chinese Deep Space Stations: A brief review [Antenna Applications Corner

To meet the rapidly growing needs of current and future deep space exploration missions, China has developed three deep space stations: Jiamusi and Kashi, (China), and Argentina (South America), for providing continuous telemetry, tracking, and command (TT&C), reliable communication, and precise navigation services. Integrated with state-of-the-art technologies, these three deep space stations are not only powerful for transmission but also extremely sensitive for receiving. Many remarkable innovations and achievements were made during the construction process, including the beam waveguide (BWG), adjustable subreflector, high-power transmitter, cryogenic low-noise amplifier (LNA), antenna-arraying technique, digital baseband receiver, and interferometry. This article briefly reviews the system architecture, general performance, critical system design issues, and contributions made by these Chinese deep space stations (CDSSs) during Chang’e missions.

Developing machine learning-based models to help identify child abuse and neglect: key ethical challenges and recommended solutions.

Child abuse and neglect are public health issues impacting communities throughout the United States. The broad adoption of electronic health records (EHR) in health care supports the development of machine learning-based models to help identify child abuse and neglect. Employing EHR data for child abuse and neglect detection raises several critical ethical considerations. This article applied a phenomenological approach to discuss and provide recommendations for key ethical issues related to machine learning-based risk models development and evaluation: (1) biases in the data; (2) clinical documentation system design issues; (3) lack of centralized evidence base for child abuse and neglect; (4) lack of "gold standard "in assessment and diagnosis of child abuse and neglect; (5) challenges in evaluation of risk prediction performance; (6) challenges in testing predictive models in practice; and (7) challenges in presentation of machine learning-based prediction to clinicians and patients. We provide recommended solutions to each of the 7 ethical challenges and identify several areas for further policy and research.

A Survey on Mobile Charging Techniques in Wireless Rechargeable Sensor Networks

The recent breakthrough in wireless power transfer (WPT) technology has empowered wireless rechargeable sensor networks (WRSNs) by facilitating stable and continuous energy supply to sensors through mobile chargers (MCs). A plethora of studies have been carried out over the last decade in this regard. However, no comprehensive survey exists to compile the state-of-the-art literature and provide insight into future research directions. To fill this gap, we put forward a detailed survey on mobile charging techniques (MCTs) in WRSNs. In particular, we first describe the network model, various WPT techniques with empirical models, system design issues and performance metrics concerning the MCTs. Next, we introduce an exhaustive taxonomy of the MCTs based on various design attributes and then review the literature by categorizing it into: periodic and on-demand charging techniques. In addition, we compare the state-of-the-art MCTs in terms of objectives, constraints, solution approaches, charging options, design issues, performance metrics, evaluation methods, and limitations. Finally, we highlight some potential directions for future research.

Lighting - the way to reducing electrical energy demand in university buildings in Bangladesh

Lighting is one of the dominant electricity demand factors in the building energy sector and has huge potential for demand reduction. However, concerning the efficacy of energy consumption, this potential energy-saving option entails further investigations, particularly for developing countries. This study addresses the issues of an efficient lighting system design for educational institutions with particular attention to classroom and laboratory lighting systems for a university in Bangladesh as a case study. Measurements show that during the daytime, under clear and average sky conditions both rooms received sufficient natural light (>300 lx) for educational activities, whereas under an overcast sky, only 50% space receives sufficient natural light. At night, the installed fluorescent tube lights illuminance level was found insufficient (<300 lx) for educational activities. The inefficient lighting system design was found to be the main reason for this illuminance level. Simulation results reveal that light emitting diode (LED) tube lights with a maintenance factor of 0.8 could save 10,080-15,120 kWh, 91,929-137,894 BDT (1USD=84BDT), and 6,753-10,130 kgCO2-eq, energy, cost, and, greenhouse gas emissions respectively per year for the classrooms.

A Two-Stage Parameter Optimization Method for Capacitive Power Transfer Systems

Wireless power transfer (WPT) is more convenient and safer than conductive charging for power consumer electronics, biomedical devices, transportation systems, etc. Inductive power transfer is the most widely studied and commercialized WPT technique; however, capacitive power transfer (CPT) is becoming an attractive alternative, offering better misalignment tolerance and lower cost and weight. The electrical-field-resonance-based six-plate coupler system is one of the most typical configurations for high-performance CPT systems, but the associated large number of circuit parameters is always a critical issue for system design. In this article, a parameter optimization method is proposed for this topology. The ratio of the reactive power in the compensation network to the system transferred power is set as the main optimization goal. To solve the high-order optimization problem, a two-stage method is proposed to significantly reduce the optimization complexity while providing the optimized parameters of the whole system. To verify the effectiveness of this method, a 3-kW, 1-MHz CPT system with a 16-pF coupling capacitor is built. Both the simulation and experimental results show that the optimized parameters effectively improve the system efficiency, experimentally achieving 95.7% dc–dc overall efficiency under a 100-mm gap distance at the rated power.

Data Discovery and Reuse in Data Service Practices: A Global Perspective

AbstractThe proposed panel will address the issues of the discovery and reuse of publicly available data on the web in the context of data service practices from a global perspective. Thousands of data discovery services have appeared around the world since the promotion of “open science”, reproducible research, and the FAIR (Findable, Accessible, Interoperable and Reusable) data principles in the research sector. However, there is also increasing demand for transparency of search algorithms, and in the design, development, evaluation, and deployment of current data search services; this requires a better understanding of how users approach data discovery and interact with data in search settings. From a global perspective, we will identify and discuss the specific system design issues in data discovery and reuse, drawing on our organization of the NTCIR (NII Testbeds and Community for Information access Research) project of Data Search track, the design and evaluation of the data discovery service of the Australian Research Data Commons (ARDC), and studies examining researchers' practices of data discovery and reuse.

An optimum security enabled System‐on‐Chip selection for Internet of Things applications using genetic algorithm modeling

SummaryThe System‐on‐Chip (SoC) is the core component in embedded systems that push toward the evolution of the Internet of Things. The quick growth of embedded SoC devices has a substantial influence to overcome security issues in embedded system design. Since microcontroller‐based systems are security and safety‐critical, this article focuses on security aspects of state‐of‐the‐art microcontrollers through performing design space analysis of several crypto‐core algorithms. These crypto functions are analyzed and compared to identify and implement the appropriate algorithm for on‐chip security. The genetic algorithm (GA) optimization model is utilized for the optimal selection of secured SoC from the commercial devices that are stored in the database. In this work, the fitness function is proposed with various levels such as performance‐centric, security enabled, low operating power, and application‐specific SoC selection. We also validate the GA results by implementing the security benchmarks on resultant devices by analyzing the execution time and performance. The accuracy of the GA‐based optimum SoC selection is estimated using confusion matrix method that produces the accuracy of .

Cadence Clarity 3D Transient Solver

In this paper, we introduce the feature of Cadence Clarity 3D Transient Solver, a system-level simulation solution that solves electromagnetic interference (EMI) system design issues up to 10x faster than legacy 3D field solvers and offers unbounded capacity. Built on massively parallel solver technology, the Clarity 3D Transient Solver handles workload levels that previously required time-consuming and expensive anechoic test chambers to test prototypes for electromagnetic compatibility (EMC) compliance