Design Knowledge Research Articles

Nature-Based Design in Stroke Rehabilitation Environments: A Scoping Review.

To identify, examine, and map the characteristics of knowledge of nature-based design in stroke rehabilitation facilities, examine how research in this field has been conducted and identify gaps in knowledge. Many stroke survivors have wide ranging impacts, resulting in long hospital stays to undertake rehabilitation. The physical environment can influence brain recovery; however, there is limited evidence to support the design of effective rehabilitation environments. Conversely, the health benefits available from connection with nature are well established. A nature-based design approach may have benefits and implications for the physical environment of inpatient stroke rehabilitation facilities; however, it is unclear what evidence exists in this field. This scoping review followed the JBI methodological guidance for the conduct of scoping reviews, with systematic searches of six databases. Twenty-eight studies were included in the review. Aims and research methods varied widely. Investigations in 19 studies related to gardens and other designed outdoor nature-based environments. Other studies explored natural analogues, nature inside, inside/outside connections, and the natural environment. Findings from the studies were spread across the fields of design, use, exposure to, and engagement in nature-based environments. The characteristics of knowledge underpinning nature-based design in stroke rehabilitation environments are highly diverse, and significant gaps exist in the evidence base. A framework developed during this review for mapping knowledge on the intentions and impacts for spaces and services in this field assisted to identify these gaps and may be applied to other areas of healthcare design research.

Interactive Batik & HR Incubation for Art-Technopreneurship: Mantraman Village Pilot Project

The implementation of this activity presents an innovative approach to promote the sustainability of the Javanese batik industry by developing interactive batik designs and fostering human resources in the arts and technopreneurship fields. The research project undertaken in Mantraman Village, Pagelaran, aims to brand Mantraman Village as a unique destination embodying Javanese Cultural Village characteristics. The cutting-edge approach combines age-old batik techniques with the latest in digital augmented reality technology. By doing so, it aims to boost visitor engagement and offer a hands-on experience in the batik design process. This implementation also focuses on fostering human resources in the arts and technopreneurship fields. These educational activities are designed to impart both theoretical knowledge and practical skills, empowering individuals to venture into or further develop their own art-technopreneurial pursuits. Training programs and workshops are conducted to develop participants’ skills and knowledge in batik design, business management, marketing, and related technological aspects. This implementation methodology involves conducting participatory surveys, observations, and interviews with relevant stakeholders, as well as testing and evaluating prototypes of interactive batik design systems. The data collected will be analyzed qualitatively and quantitatively to measure the project’s impact on increasing public interest, improving the quality of batik products, and developing human resources in the arts and technopreneurship fields. The results of the implementation of this activity made a positive contribution through an inventory of interactive batik motif designs with augmented reality technology, contributing to the development of the batik industry in Mantraman Village, Pagelaran Village as an iconic tourism village branding. Through these efforts, the project contributes positively to the sustainable growth of the batik industry and cultural branding of the village. Keywords: interactive, pattern, batik, mantraman village, pagelaran

Cross-domain heterogeneous metasurface inverse design based on a transfer learning method.

In this Letter, a transfer learning method is proposed to complete design tasks on heterogeneous metasurface datasets with distinct functionalities. Through fine-tuning the inverse design network and freezing the parameters of hidden layers, we successfully transfer the metasurface inverse design knowledge from the electromagnetic-induced transparency (EIT) domain to the three target domains of EIT (different design), absorption, and phase-controlled metasurface. Remarkably, in comparison to the source domain dataset, a minimum of only 700 target domain samples is required to complete the training process. This work presents a significant solution to lower the data threshold for the inverse design process and provides the possibility of knowledge transfer between different domain metasurface datasets.

Intelligent design of reconfigurable flexible assembly fixture for aircraft panels based on smart composite jig model and knowledge graph

The current demand for aircraft panel assembly fixtures necessitates agile manufacturing solutions. Traditional welding fixtures struggle to meet diverse panel types, high quantities, and short manufacturing cycles. Conversely, reconfigurable flexible assembly fixtures offer universality, efficiency and ease of maintenance but heavily rely on designers' experience, hindering knowledge reuse. Existing research on computer-aided fixture design (CAFD) primarily addresses specialized fixtures, neglecting reconfigurable flexible ones, lacking fixture design knowledge systems. Aiming at the above problems, the study proposes an intelligent design method for the reconfigurable flexible assembly fixture for aircraft panels based on the smart composite jig model (SCJM) and knowledge graph (KG). Firstly, based on the SCJM of the aircraft panel type assembly fixture (PSCJM), a configuration design method is proposed to carry out the multi-level design of reconfigurable assembly fixture to instantiate PSCJM containing fixture configuration rules and a module library based on model definition (MBD). Then, a knowledge retrieval method is proposed to search the suitable fixture design knowledge based on KG, assisting designers in achieving the flexible design of aircraft panel reconfigurable assembly fixtures. Finally, practical engineering design validation confirms the method's feasibility and effectiveness in obtaining the reconfigurable flexible assembly fixture design scheme for aircraft panels.

Evaluation of cooling energy saving and ventilation renovations in office buildings by combining bioclimatic design strategies with CFD-BEM coupled simulation

Bioclimatic design knowledge and measures, including passive techniques and natural ventilation cooling, are urgently for building renovation to mitigate global warming. The performance of indoor airflow, energy, economic, and environmental aspects has been researched separately. However, developing a comprehensive framework to investigate bioclimatic strategies under the impact of climate change is challenging. This study aims to integrate bioclimatic design strategies with a coupled simulation approach using Fluent and EnergyPlus to evaluate retrofitting techniques for a single-room office in a university building in a hot summer and cold winter climate. A bioclimatic analysis was conducted to recommend cost-effective passive cooling strategies, including natural ventilation and window shading systems. Two passive measures, changing window types and furniture layouts, were included in renovation packages. Results indicated that the empty model is not valid compared to the fully furnished model when calculating room air change per hour (ACH). Natural ventilation was the most cost-effective strategy to mitigate climate change, with a net present value (NPV) ranging from USD 135.09 to 402.81 over 30 years. However, a higher ACH did not ensure a longer natural ventilation period. By changing the top-hung window to a vertical sash and implementing a movable furniture layout, can achieve better ventilation efficiency. The installation of window vertical shadings had the highest annual emission savings by 2080, while it performed negative economic viability in both the present and the 2050 climates. This research demonstrated how combining bioclimatic measures with a co-simulation approach can offer a thorough evaluation of building energy retrofitting. The results could support architectural and engineering design by integrating bioclimate measures to identify the most effective strategies.

An agent architecture for expressive spatial knowledge and reasoning in land use modeling and simulations

This paper presents a new cognitive agent design approach integrating spatial knowledge representation and reasoning in agent-based modeling dedicated to land use simulations. A deep motivation for our agent-centric contribution is the ever-increasing development of spatially explicit agent simulation platforms. We build on this technological evolution and topology theory to endow the agent with human’s spatial representation and reasoning following a Belief–Desire–Intention architecture. A pilot implementation of the methodology with simulation experiments on a hunting model was carried out in GAMA platform to assess agent performances. Simulations display a consistent trend of animal population dynamics and also confirm a high model sensitivity to the integration of spatial knowledge and reasoning in agent-based models of human actor. These results demonstrate a successful implementation and the importance of spatial dimension in the expressive power and the validity of agent-based models. Future research efforts should therefore emphasize on designing human knowledge representation and incorporating learning abilities to improve models efficiency.

Product Improvement Using Knowledge Mining and Effect Analogy

Different from new product development, design improvement aims to solve the problems of existing products. Although design knowledge and effect tools have been applied in product improvement, the existing methods for design improvement are limited in their specific application areas. A general method of product improvement is proposed in this paper using the knowledge mining and effect analogy. The length–time dimension is introduced to link the problem analysis and problem-solving for the first time. This method includes the effect knowledge base construction, length–time dimension extraction, effect retrieval, effect ranking, analogy object selection, and effect structure mapping. This method integrates a variety of algorithms and software tools in design knowledge mining to improve the efficiency of the effect analogy for product improvement. Through the comparative analysis of three effect retrieval methods and design improvement of a button battery ring device, the superiority and feasibility of the proposed method are verified.

JULIUS CAESAR AND THE LARCH: BURNING QUESTIONS AT VITRUVIUS’ DE ARCHITECTVRA 2.9.15–16

Abstract This article argues that Vitruvius’ description of Julius Caesar's ‘discovery’ of the larch (larix, De arch. 2.9.15–16), previously read as a journalistic account of the author's first-hand experience in Caesar's military entourage, should instead be interpreted as a highly crafted morality tale illustrating human progress thwarted. In the passage, the use of larch wood to construct a defensive tower renders the Alpine fortress at Larignum impregnable to assault by fire; only the fear aroused by siege provokes the inhabitants to surrender to Caesar and his troops (2.9.15–16). Nevertheless, the outcome of this discovery is not a complete victory, because the logistics of importing this remarkable timber to Rome are as yet insurmountable (2.9.16). Once the siege of Larignum is recognized as a diptych to Vitruvius’ narrative of the origins of civilization, in which fire and wood likewise play essential roles (2.1.1–7), and compared with similar aitia and source histories across the De architectura, it becomes clear that Larignum and its resources emblematize obstacles to a Vitruvian conception of imperial success, in which the city of Rome catalogues and indexes architectural knowledge amassed throughout the empire.

A Study of Consumer Behavior: Preferences for Vernacular and Modern Architecture in Hot and Dry Indian Regions

Global warming and energy shortages have become major global problems, with the building industry being a major energy consumer. Vernacular architecture, which has been developed over generations, is more adaptable to changing environments, including building orientation, form, spacing, layout orientation, and climatic features. This approach considers the home's aesthetics, physical characteristics, and social purposes, resulting in unique designs in hot, arid climate locations. Examples include Rajasthan and Gujarat, which use locally produced sandstone and lime, Jaali screens, and courtyard designs. Modern architecture in these areas integrates advanced materials, shading technologies, passive cooling techniques, and sustainable energy systems. This study aims to examine vernacularism's climatic adaptation, focusing on climatic adaptive technology and its potential in house shape, construction method, building components, and materials. The findings have implications for architects, urban planners, and policymakers seeking to create resilient and sustainable built environments that respect cultural identity while embracing innovation and local knowledge. The essay will examine 23 previous studies and the work of architects who have adapted traditional and vernacular architecture to create a new identity in architecture, showcasing the blending of traditional and vernacular architectural knowledge with contemporary technology and materials.

Palladian Architecture in Thailand : Its meanings and Evolution

This research aims to study Palladian architecture in Thailand focusing on its meaning and evolution Palladian architecture is originated from an Italian architect, Andrea Palladio, in the Renaissance period. The distinctive identity is that it has beautiful proportions that are harmoniously consistent, with the style which unraveled from ancient Greco-Roman architecture. Around the 17th century, Palladian architectural style was popular in Europe. Therefore, It can be clearly reflects as a symbol of Western architecture. In 19th century, Western powers began to gain more influence in Southeast Asia as well as in Thailand. The arrival of Westerners led to the development of western architecture in many cities. The Palladian architectural style was used as a model for the design of many buildings. This study finds that Western architects worked in Thailand had applied their knowledge of classical architecture to design the buildings according to Thai’s cultures. Palladian architecture in Thailand are mostly applied for large buildings. Its layout is outstanding. The main circulation uses the central hall as a link to different functions. Palladian architecture reflected luxury, simply majestic, easy to be applied to suit the terrain and modernity equivalent to the developed western nations.

Value of preclinical systematic reviews and meta-analyses in pediatric research.

Similar to systematic reviews (SRs) in clinical fields, preclinical SRs address a specific research area, furnishing information on current knowledge, possible gaps, and potential methodological flaws of study design, conduct, and report. One of the main goals of preclinical SRs is to identify aspiring treatment strategies and evaluate if currently available data is solid enough to translate to clinical trials or highlight the gaps, thus justifying the need for new studies. It is imperative to rigorously follow the methodological standards that are widely available. These include registration of the protocol and adherence to guidelines for assessing the risk of bias, study quality, and certainty of evidence. A special consideration should be made for pediatric SRs, clinical and preclinical, due to the unique characteristics of this age group. These include rationale for intervention and comparison of primary and secondary outcomes. Outcomes measured should acknowledge age-related physiological changes and maturational processes of different organ systems. It is crucial to choose the age of the animals appropriately and its possible correspondence for specific pediatric age groups. The findings of well-conducted SRs of preclinical studies have the potential to provide a reliable evidence synthesis to guide the design of future preclinical and clinical studies. IMPACT: This narrative review highlights the importance of rigorous design, conduct and reporting of preclinical primary studies and systematic reviews. A special consideration should be made for pediatric systematic reviews of preclinical studies, due to the unique characteristics of this age group.

Discourse Analysis of the impact of Short Videos on Public Design Awareness and Design Thinking

 This paper delves into the context, content, and audience interaction of design-related short videos on Bilibili, examining their impact on design discourse. The study reveals that these short videos merge professional and popular design discourses, making design more accessible to the general public through unique narrative and visual methods. These videos not only provide design knowledge and technical demonstrations but also reflect a critique of fast-paced living and modern consumer culture. Through interactive features such as bullet comments and reviews, a diverse and interactive design discourse space has formed, where the boundaries between designers and viewers are increasingly blurred, facilitating the widespread dissemination of design concepts and innovative methods. Additionally, the platform's algorithms significantly influence the recommendation of video content, further shaping the paths of design discourse dissemination and audience reach. In summary, as a new media tool for design communication, design-related short videos not only broaden the audience for design but also promote the diverse development of design culture.

Healthy and Inclusive Neighbourhoods: A Design Research Toolkit for the Promotion of Healthy Behaviours

Addressing urban health through the built environment requires cross-disciplinary approaches, where design plays a crucial role. Gaining insights from a design-led research perspective to find situated solutions for promoting healthy behaviours is a requirement that must be clarified. Therefore, we ask the following question: what kind of design research instruments may help in applying the urban health approach from a design-led perspective? With this research question, and to contribute to the mentioned issues to be clarified, this paper presents the application of a framework adopted in a local action research project, namely the Healthy Neighbourhoods Hub (HNH) research project. The HNH framework was used as a design research toolkit for collecting contextual data and identifying insights to build scenarios and strategies for all the involved design disciplines. Around 169 participants among local stakeholders and citizens in two case studies in the city of Florence (Italy) were involved in semi-structured interviews, Healthy Labs, and Open Space Lab. As a result, the participatory activities provided a wide variety of qualitative data, such as themes related to user needs (n = 15), critical issues and points of weakness (n = 32), potentialities and points of strength (n = 27), strategies (n = 38), design insights (n = 30), and a collection of 40 local projects (40 in 5 themes), that contributed to the subsequent co-design activities of the project. This richness suggests the potential of using the adopted resources to build the HNH Toolkit as a design research instrument for addressing urban health and gaining design knowledge for the promotion of healthy behaviours through the design of the built environment.

Considering product life cycle characteristics and industry background in environmental impact analysis and application: a case study of a television.

Life cycle assessment (LCA) is widely used to evaluate product's life cycle environmental impact and identify the environmental weaknesses. However, it is difficult for existing LCA software to perform flexible LCA analysis based on the product life cycle characteristics and industry background. Meanwhile, under the existing LCA research model, product designers and manufacturers are usually not LCA evaluators, resulting in a certain time gap between the evaluation results and product improvement. Designers with less experience in green design often find it difficult to identify high environmental impact links in products at different life cycle stages and product levels, and updated products are challenging to meet various environmental restrictions. This paper establishes a multi-module product life cycle analysis model that combines product industry background that includes basic information, assessment information, structural information, and restriction information to achieve the multi-scenario of product LCA in different dimensions in a typical domain. The calculated mechanism of the dynamic power emission factor is built according to the service time and space dimensions. The proposed method forms an integrated environmental performance evaluation of household appliance (EPEHA) system. A software assessment and an optimization method are proposed to improve the EPEHA system. The results of this study show that these proposed methods can improve the timeliness and diversity of results analysis of product LCA in the field of household appliances in China. The universal data exchange format and simple operation interface of the EPEHA system enable people related to the product to quickly understand the environmental impact of the product in different scenarios, even if they lack green design knowledge and professional software training.

Local perturbation-based black-box federated learning attack for time series classification

The widespread adoption of intelligent machines and sensors has generated vast amounts of time series data, leading to the increasing use of neural networks in time series classification. Federated learning has emerged as a promising machine learning paradigm that reduces the risk of user privacy leakage. However, federated learning is vulnerable to backdoor attacks, which pose significant security threats. Furthermore, existing unrealistic white-box methods for attacking time series result in insufficient adaptation and inferior stealthiness. To overcome these limitations, this paper proposes a gradient-free black-box method called local perturbation-based backdoor Federated Learning Attack for Time Series classification (FLATS). The attack is formulated as a constrained optimization problem and is solved using a differential evolution algorithm, without requiring any knowledge of the internal architecture of the target model. In addition, the proposed method considers the time series shapelet interval as a local perturbation range and adopts a soft target poisoning approach to minimize the difference between the attacker model and the benign model. Experimental results demonstrate that our proposed method can effectively attack federated learning time series classification models with potential security issues while generating imperceptible poisoned samples that can evade various defence methods.

Design and optimization of high-speed permanent magnet synchronous motors

In this paper, a 30 kW and 60, 000 r/min high-speed permanent magnet synchronous motor (HSPMSM) was studied. We use the knowledge of motor design to determine the structural dimensions and materials of each part of the machine to create the electromagnetic design of the motor. The FEM model of the motor was created by finite element software, and the no-load and load characteristics for the motor were modeled and analyzed, which verifies the reasonableness of the design of the motor. A genetic algorithm was applied to carry out multi-objective optimization of the motor to obtain the optimized design solution, and the performance of the high-speed motor before and after the optimized design was compared. The simulation results indicate that the rated torque of the motor has been increased through the optimization, while the torque pulsation and the groove torque of the motor have been decreased, which effectively enhances the magnetic characteristic of the designed machine.

Typology of Corner Buildings in the District of Central Market Medan

The Central Market Medan is a district that holds significant architectural and historical value, especially in Medan. Built during the colonial era in 1929, the Central Market Medan was inaugurated in 1933 and consisted of 183 shopping buildings. The Central Market Medan played a role as a generator of commercial activity and was declared the largest market area in Medan during that period. As a commercial district, corner buildings play a significant role in optimizing commercial functions. Most of the corner buildings were built with special treatment that can be seen from the corner form and can be easily distinguished from the surrounding buildings to emphasize the presence of street corners.  This research aims to analyze the corner buildings in Central Market Medan to find out the correlation between the corner building typology theory and corner buildings in Central Market Medan. The research is conducted using a qualitative method by field observations and literature studies. The results of this research are expected to find the typology of corner buildings in the District of Central Market Medan in the mean of emphasizing the corners in urban space. It is hoped that this research will contribute to developing architectural knowledge, especially regarding the corner buildings in the District of Central Market Medan. 

초등학교 교사의 장애학생에 대한 민감성, 수업설계, 실천적 지식의 구조 관계

This study investigated the structural relationship in which elementary school teachers’ sensitivity to students with disabilities affects their instructional design and practical knowledge. A survey was conducted on 361 elementary school teachers. The questionnaire consisted of 10 questions on sensitivity, ten on instructional design, and ten on practical knowledge. Confirmatory factor analysis was applied to determine the measurement model and structural model. The research results are as follows. First, elementary school teachers’ sensitivity to students with disabilities is a structure that influences lesson design as a necessary condition. Second, elementary school teachers’ sensitivity to students with disabilities is a structure that influences practical knowledge as a necessary condition. Third, this structure affects practical knowledge as a necessary and sufficient condition when elementary school teachers’ sensitivity to students with disabilities mediates lesson design. Fourth, although elementary school teachers’ sensitivity to students with disabilities is explained as a direct effect on lesson design, and lesson design and practical knowledge are also explained as direct effects, sensitivity, and practical knowledge appear both as direct and indirect effects. As a result, this study suggests that elementary school teachers’ sensitivity is a significant factor in determining the effectiveness of inclusive education and the importance of instructional design for students with disabilities.

Decision-guidance method for knowledge discovery and reuse in multi-goal engineering design problems

When designing complex engineered systems, designers typically encounter different types of complexity in decision-making, such as learning trade-offs among conflicting system goals and concurrently meeting specifications of subsystems while complying with all constraints. Therefore, when managing knowledge of the concurrent design of multi-component systems, one must consider the decision interactions among designers with different interests and the coupling effects of subsystems. Conventional multi-objective optimization methods are inadequate in providing decision support on compromising the achievement of conflicting goals under various design circumstances; they are incompetent to provide knowledge from the supply side. They may also fail to solve the problems endorsed by decision-makers' evolving preferences; that is, they are incompetent in gaining knowledge from the demand side. Enhancing decision support and managing various stakeholders’ preferences is essential for engineering design problems. To address this issue, we propose a method to give systematic guidance for knowledge discovery and reuse in learning the trade-offs among conflicting goals with various preferences. Using the proposed method, a designer can (1) select appropriate design scenarios to compromise the achievement of system goals while maintaining an acceptable level of fidelity and (2) explore and refine the subsystems coupling in a structured and computable manner. We made the contributions above through (1) reusable knowledge identification and ontology development for creating and archiving the knowledge associated with the problem-solving process, (2) implementing interactive decision-making by adopting different guiding strategies, (3) working on satisfying solutions, and (4) developing icon-based knowledge representation and execution of decision workflows in the knowledge-based design guidance system. The whole process forms a loop, namely, the formulation-refinement-exploration-improvement loop. We demonstrate the efficacy of our method using a test problem, the design of a small-scale thermal system that is widely applied in freshwater production and agricultural irrigation.

Universal design in transport

The article presented development directions in product, devices and service design related to ensuring broader accessibility for all users, with a particular focus on transportation. In this aspect, the requirements recorded in both national and international legal acts related to accessibility, including accessibility in transport, were reviewed. Compliance the analyzed regulations requires a human-centric approach to the design of means of transport, which in turn increases the likelihood of their wider use by people with various mobility needs.. However, this necessitates the designer's knowledge of the needs and limitations of end users. Special attention was paid to the concept of Universal Design (UD), based on the 7 principles formulated by Ronald Mace. Examples of technical solutions from the field of transportation innovation based on the principles of Universal Design were presented. The application of such an approach was also demonstrated in individual transportation – a vehicle accessible to drivers with limited lower limb mobility. In the summary, the authors emphasize that the devices available on the market are designed with wide customization possibilities in mind, without the need for extensive modifications. Therefore, most of these devices can be used by a wide range of people with disabilities, consistent with UD principles.