Tool For Design Of Systems Research Articles

Simplified swarm optimization for bi-objection active reliability redundancy allocation problems

The reliability redundancy allocation problem (RRAP) is a well-known tool in system design, development, and management. The RRAP is always modeled as a nonlinear mixed-integer non-deterministic polynomial-time hardness (NP-hard) problem. To maximize the system reliability, the integer (component active redundancy level) and real variables (component reliability) must be determined to ensure that the cost limit and some nonlinear constraints are satisfied. In this study, a bi-objective RRAP is formulated by changing the cost constraint as a new goal, because it is necessary to balance the reliability and cost impact for the entire system in practical applications. To solve the proposed problem, a new simplified swarm optimization (SSO) with a penalty function, a real one-type solution structure, a number-based self-adaptive new update mechanism, a constrained nondominated-solution selection, and a new pBest replacement policy is developed in terms of these structures selected from full-factorial design to find the Pareto solutions efficiently and effectively. The proposed SSO outperforms several metaheuristic state-of-the-art algorithms, e.g., nondominated sorting genetic algorithm II (NSGA-II) and multi-objective particle swarm optimization (MOPSO), according to experimental results for four benchmark problems involving the bi-objective active RRAP.

Dynamic simulation tools for isotopic separation system modeling and design

Cryogenic distillation is the best candidate for hydrogen isotopic separation in fusion power plants. The design of the ITER's Isotope Separation System can still undergo major changes due to its close contact with the Water Detritiation System and this will be decisive in the design of future DEMO detritiation facilities. Dynamic simulation tools are key in the analysis and design of tritium processing systems and the use of commercial simulators can be especially valuable to this end and may add capabilities in terms of standardization of industrial-scale fusion plant modeling and conjunction of operator training systems, human-machine interface and process monitoring and control. The present work proposes the use of a commercial dynamic process simulator such as Aspen HYSYS given its abilities to overcome the challenges described. This document presents the implementation of a cryogenic distillation column in Aspen HYSYS by setting the thermodynamic principles upon which the simulation is founded and verifying isotopic separation models with experimental data available in the literature.

Streamlining sustainable design in building information modeling BIM-based PV design and analysis tools

The current BIM-based PV system design process largely depends on transferring a model to special PV simulation software. Critical geometric information is often lost during this process. An automatic PV system design and management tool was developed, which fully integrates the existing and future information of PV systems in a building information modeling (BIM) platform. This tool, PV Link, first analyzes the solar radiation on a building geometry. Then, it automatically places the PV panel based on the solar analysis and user-defined variables like PV size, roof geometry, and rooftop equipment. Finally, the solar radiation on each panel and the electricity produced are calculated and results shown in a building information model. Several case studies show it can design systems efficiently. With the information-rich BIM model, real-time analysis and management of the PVs are feasible to maintain the performance of the PV system in operation. In response to an issue raised by one of the reviewers, there is an additional discussion of the nature of science and applied science.

Utility of Functional Transparency and Usability in UAV Supervisory Control Interface Design

A basic notion of transparency in automated systems design is the need to support user tracking and understanding of system states. Many usability principles for complex systems design implicitly target the concept of transparency. In this study, we made comparison of a “baseline” control interface mimicking an existing available UAV ground control station with an “enhanced” interface designed with improved functional transparency and usability, and a “degraded” interface which removed important design features. Each participant was extensively trained in the use of one of the interfaces and all simulated UAV control tasks. Each participant was tested in four trials of a typical military concept of UAV operation with different mission maps and vehicle speeds. Results revealed participants using the enhanced interface to produce significantly faster task completion times and greater accuracy across all UAV control tasks. The enhanced features were also found to promote operator understanding of the system and mitigate workload. By defining and setting automation transparency as an overarching design objective and identifying specific transparency and usability issues within existing GCS designs, we weress able to design and prototype an enhanced interface that more effectively supported human-automation interaction. Automation transparency as a high-level design objective may be useful for expert designers; whereas, usability design guidelines, as “building blocks” to transparency, may be a useful tool for new system designers.

The Generation of Typical Meteorological Year for Tripoli, Libya

In this paper a Typical Meteorological Year (TMY) of Tripoli city, the capital of Libya was presented and analyzed using twelve year of measured weather data, this data includes global solar radiation, air temperature and wind speed. The measurements were taken every ten minutes. Finkelstein–Schafer statistical method was applied to analyze the data and obtain the TMY for the site. Typical Meteorological Months (TMMs) were selected by choosing the one with the least deviation from the long-term cumulative distribution function. A close-fit agreement is observed between the generated TMY and the long-term averages. Thus TMY generated will be very useful tool for optimal design and performance evaluation of solar energy conversion systems, heating, wind, and other renewable energy systems to be located in this part of Libya.

Optimal cell tab design and cooling strategy for cylindrical lithium-ion batteries

The ability to correctly predict the behavior of lithium ion batteries is critical for safety, performance, cost and lifetime. Particularly important for this purpose is the prediction of the internal temperature of cells, because of the positive feedback between heat generation and current distribution. In this work, a comprehensive electro-thermal model is developed for a cylindrical lithium-ion cell. The model is comprehensively parameterized and validated with experimental data for 2170 cylindrical cells (LG M50T, NMC811), including direct core temperature measurements. The validated model is used to study different cell designs and cooling approaches and their effects on the internal temperature of the cell. Increasing the number of tabs connecting the jellyroll to the base of the cylindrical-can reduces the internal thermal gradient by up to 25.41%. On its own, side cooling is more effective than base cooling at removing heat, yet both result in thermal gradients within the cell of a similar magnitude, irrespective of the number of cell tabs. The results are of immediate interest to both cell manufacturers and battery pack designers, while the modelling and parameterization framework created is an essential tool for energy storage system design.

Analysis, synthesis and modelling of air individual smart rescue system

The morphological approach is a successful analytical tool for development schematic, conceptual and preliminary design of new engineering systems in Aerospace. This investigation used a morphological approach to engineering solutions development as well as to tools for creating promising individual smart rescue system on conceptual design stage. The problem was solved in two stages. At a higher level of the hierarchy, the principle of action in morphological box was chosen. In the second phase, specific engineering solutions were explored. Analysis of engineering systems, solutions and solving technique and systems and their potential opportunities with technique provide correct guidelines to supply the reasonable decisions. Flight simulations, depending on different initial conditions, were performed using the LANE program.

Cascode Low Noise Amplifier (LNA) with Negative Feedback for Long Term Evolution (LTE)

Every now and then communication technology continuing to evolved to fulfil the market especially in mobile traffics of wireless technology demanding for high-rise data rates affecting radio frequency bandwidths to affirming specific performance. Utilizing unlicensed bandwidths of 5.8 GHz, the cascode low noise amplifier (LNA) enable to associate with long term evolution (LTE) standard without detracting degradation of service aspects. Considering LNA that positioned as a front-end in receiver block system in managing transmit the signal it benefit the LTE RF requirement become novelty in this design that plays crucial role. This paper focuses on designing and analysis of cascode low noise amplifier (LNA) adopted negative feedback and T-matching network at the input and output ports to emphasize trade-offs between parameters of gain, noise figure, sensitivity and stability. Pseudomorphic High Electron Mobility Transistor (PHEMT) FHX76LP manufactured by Eudyna Devices Inc is selected and the design is stimulated by using Advance Design System tool (ADS). From the analysis resulting LNA shows a maximum gain (S21) of 20.199 dB and return loss (S12) of −23. 585 dB with minimum noise figure of 0.360 dB with 2V supply. Meanwhile, the input reflection (S11) and output return loss (S22) are −11. 101 dB and −13. 714 dB respectively.

The Final Tank - A Restraint System Design Tool with High Forecast Quality

The Final Tank - A Restraint System Design Tool with High Forecast Quality

Motor-Oriented Discrete State Event-Driven Method for Multitime-Scale Simulation of Power Traction Systems

With the development of electric vehicles and high-speed train, the demand for power traction system (PTS) is on the rise. Its stability greatly relies on the performance of power traction converters, whose faults are mainly due to the microsecond- or nanosecond-level switching transient process. To avoid overheat or overvoltage failures, researchers should consider this ultrafast dynamics in power switches during the design phase, preanalyzing transient features such as voltage peak and power loss. Nevertheless, the simultaneous simulation of system dynamics and switching transient, namely multitime-scale simulation, is not easily achievable with current software because of their low efficiency and convergence issue. While the discrete state event-driven (DSED) approach can realize efficient multitime-scale simulation for converters, it is incapable of solving circuits connected with nonlinear elements, e.g., motors. This article demonstrates a motor-oriented interfacing derivative (MID) method for connecting motors with power electronic circuits based on DSED. With this method, a multitime-scale platform capable of simulating large-scale PTSs while providing detailed information such as switching transients is built, which is potentially an accurate and efficient tool for system design. Using this platform, the simulation of modular multilevel converter traction system could be finished 200 times faster than the existing commercial multitime-scale simulation software while being capable of capturing switching transient. The proposed MID method enables an efficient multitime-scale numerical platform for PTSs, which facilitates the overall and iterative design for traction systems, especially those of large scale.

Web-Based Job Training Report Guidance System at SMKN 2 Kraksaan

Implementation of Field Work Practices (PKL) is an effort that can be made by SMK to continue to produce graduates who can compete in the business world and the industrial world (DU / DI). The government policy regarding learning at / from home during the Coronavirus Disease 2019 (COVID-19) pandemic has an impact on the reporting process at SMKN 2 Kraksaan. This study aims to build a report guidance system using server side-based web technology. This system was built using a waterfall model and PHP (PHP Hypertext Prepocessor) programming. System design tools used are Flowmap Diagrams, Data Flow Diagrams, and Entity Relationship Diagrams. The black box test results show that the output of the system is in line with expectations. User response to the system using a questionnaire resulted in a feasibility percentage of 83.6% with a very feasible category interpretation. It can be concluded from the test results that the Field Work Practices report guidance system is in accordance with user needs and is very suitable for use.

Development of Web-based Spatial Information System Tourism Industry Event Distribution (Case Study: DKI Jakarta)

In recent years, the number and scope of events in the Asia and Middle East / North Africa region has increased significantly. Events are one of the things that attracts the attention of foreign tourists to come to visit a country as a tourist destination. Refers toMinister of Tourism Regulation Number 2 Year 2017on Guidelines for Venues for Meetings, Incentive Trips, Conventions and Exhibitions, explains that criteria and indicators are needed to increase the competitiveness of venues for meetings, incentive trips, conventions and exhibitions at the regional and global levels. This is done to increase the number of visits, length of stay, and expenditures for domestic and foreign tourists. Therefore, visual indicators or data are needed that can present the location of the event and a list of events in DKI Jakarta. From these problems, this study aims to produce a web-based spatial information system for the distribution of tourism industry events to map event locations in DKI Jakarta. The methodology used in collecting this data is the method of observation, interviews, and literature studies. While the system development methodology uses PHP and MySQL with the Rapid Application Development (RAD) approach and uses the Unified Modeling Language (UML) which is a tool for system description and design, as well as the Google Maps API for digital maps. The results of this study are in the form of a spatial information system that can display a map of the distribution of event locations in DKI Jakarta based on event data and event categories at the DKI Jakarta Tourism and Creative Economy Department. While the system development methodology uses PHP and MySQL with the Rapid Application Development (RAD) approach and uses the Unified Modeling Language (UML) which is a tool for describing and designing systems, as well as the Google Maps API for digital maps. The results of this study are in the form of a spatial information system that can display a map of the distribution of event locations in DKI Jakarta based on event data and event categories at the DKI Jakarta Tourism and Creative Economy Department. While the system development methodology uses PHP and MySQL with the Rapid Application Development (RAD) approach and uses the Unified Modeling Language (UML) which is a tool for describing and designing systems, as well as the Google Maps API for digital maps. The results of this study are in the form of a spatial information system that can display a map of the distribution of event locations in DKI Jakarta based on event data and event categories in the DKI Jakarta Tourism and Creative Economy Department.

Generalised system level approach

Recently, system level approach has been proposed as a novel design tool for large-scale cyber physical systems in the discrete time LTI framework. The main idea of the new paradigm is a shift from constructing and parametrizing the desired optimal controller to the parametrization of the achievable closed loop behaviours (closed loop shape). Then, the controller is synthesised from the system level data in a way that keep the imposed structural constraints intact. In this paper we lift the main idea of the system level parametrization to a general level, that also includes the class of LPV systems. We also provide a general scheme for the realization related to different Möbius transforms which are formulated in terms of the original data and also keep intact the structural information.

Research on Modeling and Scheduling Methods of an Intelligent Manufacturing System Based on Deep Learning

Under the background of intelligent manufacturing, the modeling and scheduling of an intelligent manufacturing system driven by big data have attracted increasing attention from all walks of life. Deep learning can find more hidden knowledge in the process of feature extraction of the hierarchical structure and has good data adaptability in domain adaptation. From the perspective of the manufacturing system, intelligent scheduling is irreplaceable in intelligent production when the manufacturing quantity of workpieces is small or products are constantly changing. This paper expounds the outstanding advantages of deep learning in intelligent manufacturing system modeling, which provides an effective way and powerful tool for intelligent manufacturing system design, performance analysis, and running status monitoring and provides a clear direction for selecting, designing, or implementing the deep learning architecture in the field of intelligent manufacturing system modeling and scheduling. The scheduling of the intelligent manufacturing system should integrate intelligent scheduling of part processing and intelligent planning of product assembly, which is suitable for intelligent scheduling of any kind and quantity of products and resources.

Hydrological performance of lined permeable pavements in Norway

Abstract Lined permeable pavements (LPPs) are types of sustainable urban stormwater systems (SUDs) that are suitable for locations with low infiltration capacity or shallow groundwater levels. This study evaluated the hydrological performance of an LPP system in Norway using common detention indicators and flow duration curves (FDCs). Two hydrological models, the Storm Water Management Model (SWMM)-LID module and a reservoir model, were applied to simulate continuous outflows from the LPP system to plot the FDCs. The sensitivity of the parameters of the SWMM-LID module was assessed using the generalized likelihood uncertainty estimation methodology. The LPP system was found to detain the flow effectively based on the median values of the detention indicators (peak reduction = 89%, peak delay = 40 min, centroid delay = 45 min, T50-delay = 86 min). However, these indicators are found to be sensitive to the amount of precipitation and initial conditions. The reservoir model developed in this study was found to yield more accurate simulations (higher NSE) than the SWMM-LID module, and it can be considered a suitable design tool for LPP systems. The FDC offers an informative method to demonstrate the hydrological performance of LPP systems for stormwater engineers and decision-makers.

Resource Allocation and Dithering of Bayesian Parameter Estimation Using Mixed-Resolution Data

Quantization of signals is an integral part of modern signal processing applications, such as sensing, communication, and inference. While signal quantization provides many physical advantages, it usually degrades the subsequent estimation performance that is based on quantized data. In order to maintain physical constraints and simultaneously bring substantial performance gain, in this work we consider systems with mixed-resolution, 1-bit quantized and continuous-valued, data. First, we describe the linear minimum mean-squared error (LMMSE) estimator and its associated mean-squared error (MSE) for the general mixed-resolution model. However, the MSE of the LMMSE requires matrix inversion in which the number of measurements defines the matrix dimensions and thus, is not a tractable tool for optimization and system design. Therefore, we present the linear Gaussian orthonormal (LGO) measurement model and derive a closed-form analytic expression for the MSE of the LMMSE estimator under this model. In addition, we present two common special cases of the LGO model: 1) scalar parameter estimation and 2) channel estimation in mixed-ADC multiple-input multiple-output (MIMO) communication systems. We then solve the resource allocation optimization problem of the LGO model with the proposed tractable form of the MSE as an objective function and under a power constraint using a one-dimensional search. Moreover, we present the concept of dithering for mixed-resolution models and optimize the dithering noise as part of the resource allocation optimization problem for two dithering schemes: 1) adding noise only to the quantized measurements and 2) adding noise to both measurement types. Finally, we present simulations that demonstrate the advantages of using mixed-resolution measurements and the possible improvement introduced with dithering and resource allocation.

Information-Active Systems Design Tool: “IS-2” Integrated Environment

The article describes the tool for designing information-active systems - the integrated environment “IS-2”: the concept of the methodology automation of intellectual labor (MAIL), the method of modeling the visual integrated environment, its structure, and features of the software solution. The Methodology Automation of Intellectual Labor (MAIL) offers an industrial way to create information-active, intelligent, automated and other systems. Their design involves the formation of models at three stages - initial modeling, conceptual modeling, and infological modeling. To automate the design process according to MAIL, a visual integrated environment (VIS) that supports this process is being developed at MSUT “STANKIN”. A formal description of the structure of the models, the structure of creating models process, the method of modeling VIS has been completed. The features of the integrated environment “IS-2”, obtained in the process of its development such as the formation of a universal (library of universal components used in the development of modules) component and specialized, are described. The composition of the versions is described including graphical editors for forming constituent models and their linking, means of intermediate documentation of models in the form of diagrams and specifications, and prototypes of modules for supporting analytical processing and synthesis of models.

РЕАЛИЗАЦИЯ ПРОЕКТА ПО СОЗДАНИЮ АВТОМАТИЗИРОВАННОЙ ИНФОРМАЦИОННОЙ СИСТЕМЫ «СКЛАД»

Scientific and technical innovations together with information technologies have made a significant transformation in the operations, processes and business processes of enterprises of the agroindustrial complex, contributing to a significant increase in their effectiveness. Currently, more scientists and practitioners are focused on the digital revolution in agriculture, this issue is the most pressing, which requires the development and implementation of domestic information systems and projects. Materials and methods: based on the scientific research of scientists and practitioners who study and implement elements of information systems, the widespread spread of digital technologies, the accumulation of big data, stimulate the creation and introduction of digital innovations in agriculture. The information system is designed according to the RAD rapid development methodology. A Microsoft Visual Studio development environment has been defined that provides the appropriate information system design tools. C# programming language used. SQL Server is used to automate organization management in a comprehensive manner. UML 2.0 is involved in chart building. The results are expressed in the methods and tools of the project implementation to create an automated information system, analyze requirements, identify requirements for the projected information system for warehousing products in JSC «Agrofirma» Krasnaya Zarya. « Basic layouts of user forms have been developed, a diagram of information system usage options is given. Conclusion: Based on the findings that despite this relevance and relevance of information technologies in modern agriculture, many agricultural organizations do not have the means to acquire and implement them. The solution of the task of creating an automated information system testifies to the practical importance of development and its application at this enterprise, and will also be useful to similar enterprises of the agroindustrial complex.

A preliminary prototyping approach for emerging metro-based underground logistics systems: operation mechanism and facility layout

ABSTRACT Developing a metro-based underground logistics system (M-ULS) to integrate freight activities into passenger rail transit networks is a sustainable option to improve urban traffic and mobility. This paper proposes innovative concepts for M-ULS prototypes. The system design uses knowledge from engineering practice, emerging initiatives, literature, and experts’ viewpoints. First, demand flows, hierarchies, and facility features of an M-ULS network are described, based on which the collaborative mechanism of shared metro passenger-goods transport, along with specialised packing and transportation strategies, are modelled and compared. Both overground and underground measures are envisaged for last-mile deliveries from metro to customers. Second, a hierarchical framework incorporating 37 key technologies that are necessary for M-ULS development is organised and evaluated. Third, interior layout schemes of a specific interchange metro station with logistics functions are designed. Underground space partitions at the platform layer and the station hall layer are visualised. The logistics workflows of the station are described in full. Evidence from literature and surveys indicates that the proposed M-ULS models are technically feasible, and their advantages and disadvantages are clear. This study contributes to providing a holistic decision support tool for the future planning and design of M-ULS and other rail-based freight transportation systems.

Designing for emergency remote blended and online education: a response to Bennett et al. (2017)

This paper is in response to the article entitled “The process of designing for learning: understanding university teachers’ design work” (Bennett et al. in Educ Technol Res Dev 65(1):125–145, 2017). Design constitutes a fundamental part of what teachers do (Goodyear in HERDSA Rev Higher Educ 2:27–50, 2015). However, it has received negligible attention in the research literature. Bennett et al. make a significant contribution to knowledge by identifying and illustrating how university teachers engage in educational design. In particular, the paper identifies key areas for further support and the professional development of university teachers, including in the use of systematic design models and tools. This will help university teachers significantly, especially during the current pandemic has increased the design workload of university teachers as they endeavour to migrate and transtion their teaching online. Our response discusses Bennett et al. (2017) in the context of emergency remote teaching and the wholesale shift to new modalities of blended and online education. We also offer future suggestions arising from our review, including the importance of further international research on the topic.