Design System Research Articles

Rethinking residential building design in high-density cities for enhancing pandemic resilience: Balancing importance and practicality

The relationship between the built environment and epidemic transmission is particularly pronounced within the context of lockdown policies and high-density urban areas. Non-pharmaceutical interventions have become increasingly important during and after the COVID-19 pandemic. This study proposes an evaluation index system for pandemic-resilient residential building designs in high-density cities, covering the entire design process including site planning, architecture design, building equipment and management. The system includes 64 design strategies, categorized into 15 sub-categories and 4 categories. Then, we evaluate the preference of each strategy by synthesizing the dimensions of importance and implementation difficulty. A questionnaire survey was conducted among experts who have experience with pandemic-resilient designs in high-density cities. Fuzzy synthetic evaluation analysis was implemented along with the “preference index” concept to identify the most important and practical interventions during the pandemic outbreak. The results indicate that “service and management” is the category that requires priority, followed by “property management,” “common areas” and “building morphology” in sub-categories. Among the design strategies, “waste receptacle,” “publicity and education,” “floor drain and water seal” and “environmental cleaning and disinfection” are the top four recommended strategies. This study provides policymakers and practitioners with effective and easily implementable prevention measures during an outbreak of respiratory tract infections. It also offers specific policy recommendations and application suggestions for new and existing buildings, contributing to creating a safer and healthier living environment.

Snow Resource Reutilization: Design of Snow Collection and Compression Equipment Based on Functional Analysis Method

High-latitude regions of the Earth are rich in natural snow resources; however, owing to their negative impact on daily life, they have not been effectively utilized for a long time and are instead viewed as obstacles that require substantial resources for clearance. This waste of resources contradicts the principles of sustainable development. With the rapid development of the ice and snow industry, the social and economic value of snow resources is gradually becoming apparent. Therefore, to promote sustainable social and economic development, this study explores new methods for processing snow resources to achieve their recycling and high-value transformation. This study employs the functional analysis method to analyze and solve the functions of the design system, utilizing the Analytic Hierarchy Process (AHP) and fuzzy comprehensive evaluation for the objective assessment and selection of schemes. The obtained relative optimal principles are utilized to guide the parameter setting and innovative design of the scheme in terms of functional structure. After the final scheme is output, its feasibility is verified through finite element simulation. Ultimately, to address the issue of snow resource clearing and recycling, this study designs a product scheme capable of collecting and compressing snow on road surfaces, proposing the use of snow in the form of standardized compressed snow blocks for large-scale snow sculpture construction and other fields. This method significantly reduces the cost of snow sculpture production, enhances efficiency, realizes the comprehensive utilization and high-value transformation of snow resources, and provides a reference for the sustainable development of the low-altitude ice and snow tourism industry.

Intelligent Design Method and System of Tin Spraying Steel Mesh for Complex Combiner

ABSTRACT In the process of spraying tin into the combiner cavity, employing the Tin Spraying Steel Mesh (TSSM) is crucial. This operation is akin to covering a complex, maze-like area with multiple islands and branches. Manual operation is labor-intensive, time-consuming, and challenging to ensure high-quality results. Therefore, this paper presents an intelligent design method and system for the TSSM, based on graphic processing. Initially, isolated islands are used as nodes to establish the topology structure of complex paths. Then, an improved Delaunay triangulation method is utilized to extract intermediate paths for regions with branching paths, resulting in the division into multiple single path regions. Following this, the island regions undergo equal arc length segmentation, while the single path regions are subjected to random bidirectional segmentation to obtain the final TSSM. Finally, a TSSM intelligent segmentation system is developed by seamlessly integrating this method into the AutoCAD software platform using ObjectARX technology. The TSSM obtained by this method meets the quality requirements, demonstrating consistent segmentation direction and uniform gaps. Furthermore, the system can adjust segmentation parameters to cater to different combiner specifications, thereby significantly improving design efficiency and establishing itself as an indispensable auxiliary tool in the automated design of combiners.

Construction of Smart Clothing Service System for the Health and Well-Being of the Aging Community in a Sustainable Society

Objective: The phenomenon of global aging is becoming more and more severe, and security services such as nursing and guardianship for the elderly have become the focus of social attention. According to the data released by the World Health Organization, by 2030, one out of every six people will be over 60 years old. By 2050, the world population will be 2.1 billion over 60 years old, and the number of people over 80 years old will reach 460 million. This paper aims to monitor the health and services of aging clothing intelligently for the health and well-being of the aging community in a sustainable society, starting from the physiological and psychological needs of the new elderly. Theoretical Framework: In the age-appropriate smart clothing service system, the critical link is to construct the human-computer interaction mode of clothing and wearable devices, establish a design paradigm from single interaction to multi-interaction, and form a service terminal based on smart wearable. Method: This paper designs an aging smart clothing design system using field research, questionnaires, interviews, etc., analyzes the aging smart wearable clothing evaluation system, and constructs aging smart clothing that meets the actual needs of health and well-being for the elderly in a sustainable society. Results and Discussion: In this research, The results obtained sustainable design theories and methods combined with interdisciplinary research tools as the basis of data analysis from the aging intelligent clothing product design system, age-appropriate smart clothing service system, and age-appropriate smart clothing evaluation system. Research Implications: Population aging has been the basic national condition of our country for quite a long time in the future, and "healthy aging" is a strategic measure put forward by the government around the intelligent care service system for the elderly, communities, and institutions. Important direction. Among them, how to build an age-appropriate smart wearable product service system has become the main development content. Therefore, its intelligence and synergistic combination with terminals such as communities, caregivers, and hospitals will become the trend of smart elderly care. Originality/Value: This study contributes to Construct a systematic design of a new intelligent wearable clothing service system for the elderly, which is a great of significance for improving the service quality index of the health and well-being of the elderly. At the same time, it is of great value to expand and deepen the concept of sustainable design.

Enhancing flow uniformity and reducing turbulent kinetic energy in refrigerator freezers through magnetic resonance velocimetry-based structural modifications

High energy efficiency and low operational noise are increasingly demanded in premium household appliances. Magnetic resonance velocimetry (MRV) has recently emerged as a versatile flow visualization technology, particularly suited for the efficient design of such appliances. This study conducted a comprehensive analysis of a 3/5 scale freezer model, incorporating the cooling system, compartment, and cabinets, all fabricated using stereolithography three-dimensional (3D) printing. By focusing on flow characteristics, 3D mean velocity and turbulent kinetic energy (TKE) fields were measured, identifying regions of non-uniform flow and elevated TKE. To address these issues, structural modifications were introduced in an improved model. These modifications included refining the central structure of the fan chamber, altering inlet geometries, and adding a fillet at the inlet edge. The results were significant: a more uniform flow distribution was achieved, with a 15 percentage-point increase in the effective flow rate through the evaporator's finned area, a reduction in secondary flow energy in the fan chamber, and a substantial decrease in TKE. Consequently, the improved model demonstrated enhanced energy efficiency and quieter operation. These findings highlight the potential of MRV as an effective tool for analyzing complex flow systems in appliance design.

Research on Intelligent Design Systems of Intangible Cultural Heritage Combining Big Data and CAD Technology

Research on Intelligent Design Systems of Intangible Cultural Heritage Combining Big Data and CAD Technology

An active two-stage class-J power amplifier design for smart grid’s 5G wireless networks

<span>The wireless communication networks in the smart grid’s advanced metering infrastructure (AMI) applications need 5G technology to support large data transmission efficiently. As the 5G wireless communication network’s overall bandwidth (BW) and efficiency depend on its power amplifier (PA), in this work, a two-stage class-J power amplifier’s design methodology that operates at 3.5 GHz centre frequency by utilizing the CGH40010F model gallium nitride (GaN) transistor is presented. The proposed design methodology involves proper designing of input, output, and interstage matching networks to achieve class-J operation with improved power gain over desired BW using the advanced design system (ADS) electronic design automation (EDA) tool and estimating its integration feasibility through active element-based design approach using the Mentor Graphics EDA tool. The proposed PA provides 54% drain efficiency (D.E), 53% power added efficiency (PAE) with a small signal gain of 27 dB at 3.5 GHz and 41 dBm power output with 21 dB of improved power gain across a BW of around 400 MHz using 28 V power supply into 50 Ω load. By replacing the two-stage PA's passive elements with active elements, its layout size is estimated to be (15.5×29.2) μm2 . The results of the proposed PA exhibit its integration feasibility and suitability for the smart grid’s 5G wireless networks.</span>

Thermodynamic calculation-assisted design of 500 MPa high performance steel by machine learning

In order to rationally design Q500 low-alloy wind power steel with stable microstructure and properties within a large cooling rate range, this study proposed a design system that utilizes thermodynamic database, machine learning (ML), and the multi-objective genetic optimization algorithm (MOGA). Thermodynamic calculation has been used to obtain a large amount of data on phase fractions and mechanical properties for various chemical composition at different cooling rates. By comparing the predictive capabilities of different ML models, the deep neural network (DNN) and MOGA were combined to design Q500 wind power steel. Subsequently, three groups of designed chemical compositions were appropriately selected for verification. The results indicate that the yield strength of the experimental steel was over 500 MPa, and the maximum error in microstructure and mechanical property prediction was 5.0%. The prediction results demonstrated the rationality of the composition design framework. Meanwhile, the method of combining the material database and ML proposed in this study can also be applied to the design of other low-alloy steels.

Human Cognition Modeling for the Metaverse-Oriented Design System

Human Cognition Modeling for the Metaverse-Oriented Design System

Design and Rapid Optimization Procedure of a Compact Broadband Microstrip Diplexer for VHF/UHF Band

ABSTRACTIn this paper, a design procedure of a compact broadband microstrip diplexer working on the Very High Frequency (VHF)/Ultrahigh Frequency (UHF) band is proposed. The diplexer consists of a fourth‐order Butterworth Low‐Pass Filter (LPF) and a sixth‐order elliptic High‐Pass Filter (HPF). The two filters are located on two substrates with a common ground. A microstrip‐to‐coaxial structure is utilized to transmit the power flow between the two substrates. For miniaturization, the utilized ideal capacitors and inductors are realized by the commercial lumped‐element capacitors and the curved microstrip line sections, respectively. All the middle design and rapid optimization processes from the schematic simulation by Advanced Design System (ADS) to the circuit simulation by CST STUDIO SUITE (CST) are given in the article. A prototype is fabricated and measured. The testing results are consistent with the simulation. The diplexer can operate at 225–775 and 880–2500 MHz. The insertion losses are 0.8 ± 0.3 and 0.9 ± 0.4 dB in the two working bandwidths. The isolation bandwidth of −20 dB level is as small as 105 MHz. The roll‐off is also sharp that the related bandwidths corresponding to the attenuation level −3 to −20d B are 90 and 30 MHz to the high and low bands, respectively. Besides, the return loss and isolation are larger than 10 and 20 dB approximately. The diplexer has a volume of 0.065 λg × 0.156 λg @775 MHz, which can be utilized to feed the miniaturized broadband VHF/UHF antenna system.

Design Systems Are Accessibility Delivery Vehicles

Design systems are infrastructure built for consumers working on applications. A successful one allows consumers in an organization to quickly scale design and development across applications, increase productivity, and establish consistency. Design systems are also products with their own user bases. They must grow, evolve, and address the needs of consumers who are building applications. If a design system becomes stagnant and fails to deliver on its promises of scalability, productivity, and consistency, then consumer adoption will decrease.

Design of Cargo Hold Ventilation Electrical System for PCTC

The design of the PCTC cargo compartment ventilation system is an important system in the overall PCTC ship design, which is related to the design of multiple specialties such as general, structure, outfitting, machinery and electrical section. In recent years, the design of the cargo hold ventilation system for PCTC ships has also been constantly changing, improving, and optimizing. This article summarizes and optimizes the current mainstream design schemes for the electrical system of PCTC cargo hold ventilation, taking into account both the construction cost of the shipyard and the operating cost of the shipowner, for reference by relevant designers.

The Role of Cartilage Tissue Engineering in Osteoarthritis Treatment: The Bench to Bedside Translation

ABSTRACTCartilage tissue engineering holds huge promise for joint defects and osteoarthritis (OA) conditions which otherwise have limited treatment options due to cartilage's inherent inability to self‐repair. Chemical cues play a pivotal role in regulating chondrocyte behavior and matrix synthesis. Strategies utilizing growth factors, small molecules, and biomaterial‐based delivery systems aim to modulate chondrogenic differentiation, proliferation, and matrix deposition, while recent insights emphasize the significance of mimicking native tissue gradients for optimal regeneration outcomes. Mechanical stimuli profoundly influence chondrocyte phenotype and function, necessitating precise control of the mechanical microenvironment in tissue engineering strategies. Advances in biomaterial design, scaffold fabrication, and bioreactor systems facilitate the tailored modulation of mechanical cues, including substrate stiffness, topography, and dynamic loading regimes. This review showcases the latest advancements in engineering both the chemical and mechanical microenvironment to enhance chondrocyte regeneration. Furthermore, exploring the synergistic effects of combining chemical and mechanical cues underscores the importance of multifaceted approaches in promoting robust chondrocyte regeneration. The review also addresses challenges and future directions in the field, such as achieving spatially organized tissue architecture and integrating patient‐specific factors, to propel advancements in cartilage tissue engineering. We also conducted a comprehensive enlistment for the clinical trials and tissue engineering‐based marketed products for OA therapy.

Coupling Photocatalytic Hydrogen Production with Key Oxidation Reactions

AbstractHydrogen represents a clean and sustainable energy source with wide applications in fuel cells and hydrogen energy storage systems. Photocatalytic strategies emerge as a green and promising solution for hydrogen production, which still reveals several critical challenges in enhancing the efficiency and stability and improving the whole value. This review systematically elaborates on various coupling approaches for photocatalytic hydrogen production, aiming to improve both efficiency and value through different oxidation half‐reactions. Firstly, the fundamental mechanism is discussed for photocatalytic hydrogen production. Then, the advances, challenges, and opportunities are expanded for the coupling of photocatalytic hydrogen production, which focuses on the integration of value‐added reactions including O2 production, H2O2 production, biomass conversion, alcohol oxidation, and pollutants treatment. Finally, the challenges and outlook of photocatalytic H2 production technology are analyzed from the aspects of coupling hydrogen production value, photocatalyst design and reaction system construction. This work presents a holistic view of the field, emphasizing the synergistic benefits of coupled reactions and their practical application potential, rather than focusing on catalysts or single reaction systems. This review provides valuable references for the development and application of photocatalytic hydrogen production in energy conversion and environmental conservation through sustainable, eco‐friendly and economic pathways.

Coupling Photocatalytic Hydrogen Production with Key Oxidation Reactions.

Hydrogen represents a clean and sustainable energy source with wide applications in fuel cells and hydrogen energy storage systems. Photocatalytic strategies emerge as a green and promising solution for hydrogen production, which still reveals several critical challenges in enhancing the efficiency and stability and improving the whole value. This review systematically elaborates on various coupling approaches for photocatalytic hydrogen production, aiming to improve both efficiency and value through different oxidation half-reactions. Firstly, the fundamental mechanism is discussed for photocatalytic hydrogen production. Then, the advances, challenges, and opportunities are expanded for the coupling of photocatalytic hydrogen production, which focuses on the integration of value-added reactions including O2 production, H2O2 production, biomass conversion, alcohol oxidation, and pollutants treatment. Finally, the challenges and outlook of photocatalytic H2 production technology are analyzed from the aspects of coupling hydrogen production value, photocatalyst design and reaction system construction. This work presents a holistic view of the field, emphasizing the synergistic benefits of coupled reactions and their practical application potential, rather than focusing on catalysts or single reaction systems. This review provides valuable references for the development and application of photocatalytic hydrogen production in energy conversion and environmental conservation through sustainable, eco-friendly and economic pathways.

A split ring resonator slot based fabricated crescent microstrip patch antennas for UWB wireless system applications

This paper clarifies significant bandwidth and optimum gain for a split ring resonator slot based fabricated microstrip patch antenna for ultra wide band (UWB) wireless telecommunication system applications. The antenna has a circular slot partially cut into a circular patch and radiates in the UWB frequency range. The design system features a steady radiation pattern and an impedance bandwidth of 3.3 to 10.96 GHz. The proposed UWB notch antenna is at 4.6 GHz, 7.29 GHz, and 9.36 GHz, with an impedance bandwidth of 3.3 to 10.96 GHz. The UWB notch antenna offers linear phase response and a group delay of fewer than 1 ns. It is practical for UWB applications due to less group delay and stable radiation patterns. FR4 material with a 4.4 relative permittivity. The reported antenna is measured following the manufacturing of the prototype design using HFSS simulations. The suggested fabricated antenna minimizes return loss. The findings demonstrate that when combined with VSWR 2, the reflection coefficient covers the band ranges from 3.3-10.96 GHz.

Pseudo‐Random Code Generator Design for Satellite Transponder of 5G Wireless Networks

AbstractIn satellite communication systems, a data stream for a direct sequence spread spectrum transmitter is multiplied by a pseudo‐random code. It can then be transmitted over the same microwave channel as multiple users. Correlating the received composite signal with the provided pseudo‐random code at the receiver end will extract the original data stream without interference. The proposed transponder models here are to achieve the objective of minimizing the satellite onboard components, increasing the speed of operations for higher bandwidth, and transmitting more information to a large group of users. However, taking advantage of this technology and overcoming the challenges of implementing it in a real‐time environment, a satellite transponder was designed at a speed of 128 bps. The satellite transponder here is to accommodate satellites interconnecting 5G wireless networking systems. This paper describes the useful roles of pseudo‐random code generations and the methods of applications to track the desired binary data bit sequences according to the preferred carrier frequency channels. The designed transponder schematic circuit was tested for the received uplink signal at the carrier frequency 13 GHz and transmit downlink signal at 11 GHz. To evaluate the designed onboard transmitter system performance, initially, the system was analyzed in terms of energy per bit‐to‐noise power spectral density ratio, bit error rate, and finally signal‐to‐noise power ratio. The design system was measured for the operations with minimum bandwidth of 100 MHz upto 1.28 GHz for the input bit rates of 200 Mbps upto 2.56 Gbps respectively.

Multi-objective optimization design of a battery pack system for crashworthiness and lightweight based on a submodel and hybrid weighting method

The research focuses on optimizing battery pack systems (BPSs) for crashworthiness and lightweight design in electric vehicles. Traditional methods have high computing costs and do not account for the battery cell's failure criterion. This study uses a submodel and hybrid weighting for multi-objective design. It starts with the finite element model of a single cell, validates it and then builds a BPS model with a submodel for key areas. The optimal Latin hypercube sampling technique is used to sample the design space, and a kriging surrogate model and multi-objective particle swarm algorithm are used to find the Pareto solution. The compromise solution is selected using the analytic hierarchy process–Entropy–VIKOR method, considering the maximum principal strain of the cell. This approach cuts the computation time by 56.2% and offers a practical solution for BPS design by utilizing the load-bearing ability of the BPS.

A Python-Based GUI Approach for Efficient Component Design of Compound Die for Composite Material: 3D and 2D CAD Modeling

This article presents a Python-based parametric Computer-Aided Design (CAD) system coupled with the AutoCAD API for the automation of compound die design. The system seeks to minimize the duration allocated to repeated operations, therefore promoting innovation. The graphical user interface facilitates the straightforward entry of design parameters and the automated production of precise manufacturing drawings. Advanced approaches, including Finite Element Analysis (FEA), topology optimization, and machine learning, are utilized to improve product design, reduce material consumption, and forecast component lifespan under operational stressors. The technology markedly decreases design time relative to conventional methods, rendering it optimal for sectors emphasizing bulk customization and batch production. Moreover, it enhances Time-To-Market (TTM) by providing an efficient process from design to manufacturing, while reducing errors and material waste. This tool has the potential for extensive utilization in mechanical design, especially within small and mediumsized enterprises.

Improving Teacher Training Through Emotion Recognition and Data Fusion

ABSTRACTThe quality of education hinges on the proficiency and training of educators. Due to the importance of teacher training, the innovative platform Teacher Moments creates simulated classroom scenarios. In this scenario‐based learning, confusion is an important indicator to detect users who struggle with the simulations. Through Teacher Moments, we gathered 7975 audio recording responses from participants who self‐labelled their recordings according to whether they sounded confused. Our dataset stands out for its size, for not including actor‐generated audio, and for measuring confusion, a neglected emotion in artificial intelligence (AI). Our experiments tested unimodal approaches and feature‐level, model‐level and decision‐level fusion. Feature‐level fusion demonstrated superior performance to unimodal methods, achieving a balanced accuracy of 0.6607 on the test set. This outcome highlights the necessity for further investigation in the overlooked area of confusion detection, particularly employing realistic datasets like the one used in this study and exploring new methods. Beyond teacher training, the insights of this research also extend to other directions, such as other professionals making critical decisions, user interface design or adaptive learning systems.