Digital Design Research Articles

Evaluating 3D Apparel Simulation Technology's Performance of Creative Pattern-Cutting Techniques with the Assist of ASVT

Three-dimensional (3D) simulation technologies have experienced a significant rise in popularity in the fashion industry. Analyzing the efficacy of such technologies aids in pinpointing areas that require enhancement. While previous studies mostly focused on evaluating the fit and appearance of 3D simulation technologies with simple clothing styles, this research aims to assess the effectiveness of 3D fashion simulation software in producing digital designs that include creative pattern-cutting techniques known for their intricate structures and design complexities. Four designs were chosen to exemplify different design characteristics, and 95 people were recruited to assess the effectiveness of two cuttingedge 3D fashion simulation programs. Furthermore, the researchers utilized the apparel spatial visualization tests (ASVT) to examine whether the participants’ spatial visualizing aptitude would impact their assessment outcomes. The findings offer suggestions for enhancing the existing 3D simulation technology and provide instructions for the assessment procedure.

Virtual-based digital library website: A development for the educational technology master's study program at Universitas Negeri Makassar

This research and development study aims to produce a Virtual-based digital library website. The media development process refers to the ADDIE model. The media questionnaire respondents were 10 students (small group trial), 30 (large group trial) and 1 UNM PPs lecturer. The needs analysis was based on interview data with the Head of Study Program and questions on the student questionnaire. The digital library website development design used canva, flowchart, Hypertext Preprocessor (PHP) version 7 and Codeigniter template. The results showed that the assessment of the material expert and media expert validators were each in the valid and very valid categories with an average of 3.8 and 4.5 out of a maximum value of 5. The level of practicality of the media obtained from a small group test of 10 students obtained a percentage of 83.75% (very high) and the results of the analysis of the lecturer response questionnaire obtained an average of 82.50 (very high category). The level of effectiveness of the Virtual-based digital library website media obtained from a large group test with a percentage of 83.46% (very high effectiveness). Based on the results of the analysis, it can be concluded that the development of a virtual-based digital library website in the Master of Educational Technology Study Program, Postgraduate Program, Makassar State University can help manage and become a link for various sources of reference and information.

The differences in the portfolios of graphic and digital design students in Greenwich, Vietnam

Designing portfolios for students majoring in graphic design, digital fine art, etc. at many Vietnamese colleges entails drafting a job application immediately following graduation. However, graphic and digital design students in Greenwich, Vietnam, will create privateportfolios, which are extremely crucial. Designing a portfolio not only helps graphic and digital design students in Greenwich, Vietnam, survey the social needs of the vocational market, leading to building career aspirations, but also orients self-employment in the future.Most portfolios of graphic and digital design students in Greenwich, Vietnam, identify the strengths and weaknesses of their current skills, achieve outstanding results in competitions, and use pretty skills obtained from freelance works a. Furthermore, the ultimate purpose of creating a portfolio is to boost students' personal confidence by presenting it while they are interviewing for a new position right after graduation or approaching a new career. As a result, research, market analysis, and portfolio creation allow students to exercise professional working abilities while also laying the groundwork for confidence and originality in product design. The study's findings reveal certain disparities in the creative portfolios of graphic and digital creative students in Greenwich, Vietnam, who already possess a wealth of remarkable information, aptitude, particularly communication in a foreign language, and flexibility as global citizens

Efficient digital design of ganglion cells in the retinal pathway

Spiking networks, the third generation of neural networks, are presented as low-power consumption machines with higher cognitive ability, one of the main concerns in intelligence machines. In fact, neuromorphic systems are hardware implementations of spiking networks with minimum resource, area, and power consumption while preserve maximum working frequency. Here, the focus is on the digital implementation of Retinal Ganglion Cell (RGC) based on the linear approximation of non-linear terms which is called Linear Retinal Ganglion Cell (LRGC). The low-cost hardware design of biological cells is acceptable when the digital model of the cell has the same phase and time domain behavior as the original model and follows the dynamic behavior of the original model accurately, which is discussed and confirmed with different analyzes in this paper. The low-cost hardware design of biological cells allows the optimal implementation of a neural population on the hardware, provided that the collective behavior of the digital model matches the original model which is approved by the large-scale simulation of RGC and LRGC models. Cognitive processes are performed in the nervous system at a very low cost, which neuromorphic systems are trying to achieve this important. In this regard, the behavior of RGC and LRGC models in the reconstruction of the image through the retina pathway was examined and a high agreement between the performance of the two models was achieved. Finally, the high functional compatibility of RGC, LRGC models proves that the proposed model is a good candidate of the main model in neuromorphic systems with low hardware cost.

Implementation of 4-bit Universal Shift Register using Reversible Logic

The field of digital logic design is increasingly exploring reversible logic due to its potential in minimizing power dissipation, an essential criterion in low-power applications. This paper presents the design and implementation of a 4-bit universal shift register (USR) using reversible logic gates. The design leverages Fredkin gates, multiplexer (MUX), and D flip-flops to achieve functionality with minimal power consumption. Simulation results demonstrate the efficiency and effectiveness of the proposed design. Reversible logic is essential to low-power digital design and quantum computing because it makes it possible to reconstruct input signals from output signals, which reduces heat generation and information loss. The suggested shift register can be used for hold, parallel load, and left and right shift operations. To implement the functions of the shift register, we used a variety of reversible gates, including the Toffoli and Fredkin gates. When the architecture is contrasted with traditional non-reversible shift registers, it shows notable gains in reduced gate count and power efficiency

Structural design optimization of cast glass artwork via a digital design solution

Structural design optimization of cast glass artwork via a digital design solution

Making Healthcare Accessible: A Rapid Clean-Room-Free Fabrication Strategy for Microfluidics-Driven Biosensors Based on Coupling Stereolithography and Hot Embossing.

Microfluidics offers transformative potential in healthcare by enabling miniaturized, user-friendly, and cost-effective devices for disease diagnostics among other biomedical applications; however, their meaningful adoption is severely hindered, especially in developing countries and resource-limited settings, by the cost, time, and complexity of their fabrication. To overcome this barrier of access, this work develops a novel approach for highly efficient (<4 h), cost-effective, and clean-room-free fabrication of functional polydimethylsiloxane (PDMS)-based microfluidic devices based on coupling stereolithography three-dimensional (3D) printing with hot embossing. The strategy exhibits high fidelity between the digital design and final device, remarkable transfer accuracy between the 3D print and poly(methyl methacrylate) (PMMA) mold, in addition to highly smooth surfaces (R a < 1 μm). To establish the versatility of the approach and performance quality of the fabricated devices, three advanced microfluidics-driven biosensing platforms are developed: a microsphere droplet generator, a stop-flow lithography-based hydrogel microparticle synthesizer, and a hydrogel postembedded microfluidic device for multiplexed biomarker detection. As a proof-of-concept, the latter platform was applied to the multiplexed detection of microRNA, a highly promising class of liquid biopsy biomarkers for many diseases including cancer. Notably, the ability to demonstrate multiplexed sensing of disease biomarkers within devices made through a facile, rapid, and clean-room-free strategy demonstrates the immense potential of this fabrication approach to accelerate the adoption and advancement of biomedical microfluidic devices in practice and in resource-limited settings.

Career Skills Readiness of Chinese Students Majoring in Digital Media Art and Design: A Groundwork for Skills Enrichment Program

Career Skills Readiness of Chinese Students Majoring in Digital Media Art and Design: A Groundwork for Skills Enrichment Program

Algorithm prediction of single particle irradiation effect based on novel TFETs

In order to predict the single particle irradiation of tunnel field effect transistor (TFET) devices, a deep learning algorithm network model was built to predict the key characterization parameters of the single particle transient. Computer aided design (TCAD) technique is used to study the influence of single particle effect on the novel stacked source trench gate TFET device. The results show that with the increase of drain voltage, incident width of heavy ions (less than 0.04μm), and linear energy transfer, the drain transient current and collected charge also increase. The prediction results of deep learning algorithm show that the relative error percentage of drain current pulse peak (IDMAX) and collected charge (Qc) is less than 10%, and the relative error percentage of most predicted values is less than 1%. Comparison experiments with five traditional machine learning methods (support vector machine, decision tree, K-nearest algorithm, ridge regression, linear regression) show that the deep learning algorithm has the best performance and has the smallest average error percentage. This data-driven deep learning algorithm model not only enables researchers who are not familiar with semiconductor devices to quickly obtain the transient data of a single particle under any conditions; at the same time, it can be applied to digital circuit design as a data-driven device model reflecting the reliability of single particle transient. The application of deep learning in the field of device irradiation prediction has a highly promising prospect in the future.

PACS: Projection-driven with Adaptive CADs X-ray Scatter compensation for additive manufacturing inspection

Additive Manufacturing (AM) has revolutionised the production of custom-shaped samples through direct manufacturing from digital design models. As the internal structural integrity of these printed samples is of critical importance in diverse applications, X-ray radiography and X-ray Computer Tomography (X-CT) have emerged as widely used non-destructive imaging methods for quality control of AM samples. Unfortunately, beam hardening and X-ray scatter often degrade the quality of X-CT images, posing a significant challenge for X-ray based inspection. In addressing X-ray scatter, most of the methodologies assume fixed scanning geometries or stationary/known object characteristics, limiting their practicality in dynamic industrial scenarios where these may change over time. Simulation-based methods have been proposed that estimate and suppress scatter by accurately simulating the forward projection process. Yet, these methods assume the availability of X-CT reconstruction for simulation, thereby requiring a large number of projections (and hence scan time) for faithful X-CT reconstruction. In this work, we propose a simulation-based scatter compensation method (PACS) that eliminates the need for a prior X-CT scan. By employing few projections and nominal surface meshes of the scanned objects, the actual pose of the objects and their superficial deviation (e.g., due to printing) are estimated and used during X-ray simulations. Furthermore, as the pipeline is inherently coupled with a mesh projector, analysis of projective residuals facilitates the inspection for deformities or defects within the scanned object. To demonstrate the versatility of PACS for mitigating scatter, experiments across various inspection scenarios are conducted, and the outcomes are compared with those of a well-established scatter compensation technique. The results consistently show a higher Signal-to-Noise Ratio and Contrast-to-Noise Ratio of pore-defects, as well as lower residual errors in all examined cases.

Compact freeform near-eye display system design enabled by optical-digital joint optimization

The near-eye display (NED) systems, designed to project content into the human eye, are pivotal in the realms of augmented reality (AR) and virtual reality (VR), offering users immersive experiences. A small volume is the key for a fashionable, easy-to-wear, comfortable NED system for industrial and consumer use. Freeform surfaces can significantly reduce the system volume and weight while improving the system specifications. However, great challenges still exist in further reducing the volume of near-eye display systems as there is also a limit when using only freeform optics. This paper introduces a novel method for designing compact freeform NED systems through a powerful optical–digital joint design. The method integrates a geometrical freeform optical design with deep learning of an image compensation neural network, addressing off-axis nonsymmetric structures with complex freeform surfaces. A design example is presented to demonstrate the effectiveness of the proposed method. Specifically, the volume of a freeform NED system is reduced by approximately 63% compared to the system designed by the traditional method, while still maintaining high-quality display performance. The proposed method opens a new pathway for the design of a next-generation ultra-compact NED system.

Digital toy design: A doll head modeling method based on model matching and texture generation

With the development of technology and the improvement of living standards, consumer demand for toy products has also changed. More people are showing strong interest and demand for digital toy products. However, in the current digital toy design process, extracting the hairstyle features of the doll’s head is still a challenge. Therefore, this study extracts the two-dimensional contour of the target hairstyle and matches it with the template hairstyle in the database. Then, combining hair texture information and hairstyle structural features, fine geometric texture details are generated on the hairstyle mesh surface. Finally, a doll head modeling method based on model matching and texture generation is proposed. The results showed that the hairstyle of the Generative model was almost the same as the real hairstyle. Compared with the modeling methods based on interactive genetic algorithm and digital image, the average F1 value of this method was 0.95, and the mean absolute error was the smallest. The accuracy of the target model modeling was 95.4%, and the area enclosed by the receiver operating characteristic curve and coordinate axis was 0.965. In summary, the doll head modeling method based on model matching and texture generation proposed in this study can generate high-precision and realistic hairstyle models corresponding to the hairstyle. The overall shape and local geometric details of the hairstyle can meet the needs of 3D printing, providing certain reference significance for hairstyle reconstruction.

Artificial Intelligence-Assisted Fabrication of 3D Printed Technology in Pharmaceutical Development and Its Application

The concept of personalized medicine tailored to individual patients has garnered considerable attention recently, particularly in exploring the potential of 3D printing technology within the pharmaceutical and healthcare industries. 3D printing involves the layer-by-layer creation of three-dimensional objects from digital designs. This review aim to provide an in-depth discussion focusing on 3D printing technology, its role in drug delivery systems, and its application in the pharmaceutical product development process. Commonly categorized by material layering methods, 3D printers typically fall into inkjet, extrusion, or laser-based systems. The review delves into these different types of 3D printers and their diverse applications in drug delivery across various sectors. Additionally, it encompasses a selection of recent research conducted in the pharmaceutical realm concerning 3D printing for drug delivery applications and challenges. Keywords: 3D printed formulation, Laser based printing, inkjet printing, extrusion-based printing

Triple digital guides for implant-supported restorations with alveoloplasty procedure in the esthetic zone.

The principal aim of this report is to address the challenge of integrating prosthetic crowns with natural dentition in the esthetic zone. It highlights the utilization of a prosthetically driven treatment plan, designed to ensure predictable esthetic outcomes. This report details a technique that utilizes three digital guides, all derived from a 3-dimensional digital smile design. The integration of a restoration guide, an implant drilling guide, and an alveoloplasty guide is described. These tools collectively facilitate the precise execution of both surgical and prosthetic procedures, enhancing treatment accuracy and esthetic integration. This technique considers the esthetic prosthetic crowns, implant positions, and alveoloplasty collectively. It enhances the predictability of esthetic outcomes in oral implantology and potentially provides an integrated prosthetically driven workflow in cosmetic dental treatments. The application of multiple digital guides derived from the same prosthetically driven treatment significantly enhances the predictability of esthetic outcomes in oral implantology.

Gate all around carbon nanotube field effect transistor espoused discrepancy cascode pass transistor adiabatic logic for ultra-low power application

Advances in wearable technology, IoT, and mobile applications have increased the demand for ultra-low-power electronic devices. Adiabatic Logic Circuit (ALC) is a design technique utilized in digital circuits to decrease the power consumption by decreasing the dynamic power dissipation. Current technologies face challenges in achieving both high performance and ultra-low power consumption. This research work introduces a novel approach in digital circuit design, specifically the Gate All-around Carbon Nanotube Field Effect Transistor with Discrepancy Cascode Pass Transistor Adiabatic Logic (GAA-CNTFET-DCPTAL), tailored for ultra-low power applications. This design operates efficiently with a four-phase Power Clock (PC) and demonstrates remarkable performance by achieving operation frequencies of up to 1 GHz while minimizing energy dissipation. GAA-CNTFET provides superior electrostatic control and high carrier mobility, reducing leakage currents and enhancing switching speeds. Simultaneously, Discrepancy Cascode Pass Transistor Adiabatic Logic (DCPTAL) uses adiabatic logic principles and a cascode structure to minimize energy dissipation during switching events. The technology node of proposed model is 10 nm. The software used for assessment is HSPICE is used for the simulation and validation of the proposed design. The proposed GAA-design attains 25.36 %, 14.28 %, and 16.06 % lower average power analyzed with existing techniques, such as Design with Evaluation of Clocked Differential Adiabatic Logic Families for the applications of low Power (DE-CDAL-LPA), Adiabatic logic-base strong ARM comparator for ultra-low power applications (AL-SARM-ULPA) and Analysis of 2PADCL Energy Recovery Logic for Ultra Low Power VLSI Design for SOC with Embedded Applications (2PADCL-ULP-VLSI) respectively.

A review of the design and research of asynchronous FIFOs

Asynchronous FIFO (First In First Out) is a hardware structure for data transfer across clock domains. It is very important in the design of digital systems, especially when data needs to be exchanged between different modules or subsystems. The main function of an asynchronous FIFO is to solve the data transfer problem due to the unsynchronization of the clock domain, so as to ensure the integrity of the data and the stability of the system. Asynchronous FIFO is widely used in such fields as data acquisition systems, communication systems, and multiprocessor systems. It ensures the stability of data transmission between different modules and the overall system performance through reliable clock domain synchronization and effective read/write management. This paper provides a comprehensive review and analysis of the design principles, implementation methods, and applications of asynchronous FIFO memory. By examining the foundational concepts, various design techniques, and practical applications, this paper aims to offer valuable reference and guidance for digital system designers.

Enhancing Soft Skills through Generative AI in Sustainable Fashion Textile Design Education

This study explores the significance of incorporating soft skill training in fashion design education through the use of artificial intelligence (AI) technology and examines various AI-based approaches for sustainable fashion textile design education employing a multifaceted methodology that encompasses empirical, quantitative, and qualitative methods. We investigate the aspects of Design Sprints, identify key soft skills that help students meet the complex demands of contemporary fashion design workplaces, propose a curriculum guide for AI textile design programs, and evaluate the soft skill training process. Participants included students who had completed basic fashion design courses over three to four semesters and had experience with the fashion design process. The findings confirmed that participants’ soft skills improved across four areas—digital competence, sense of initiative and entrepreneurship, problem-solving and thinking skills, and communication—through the AI-based fashion textile design curriculum. This study validates the importance of integrating AI technology into educational programs to enhance essential soft skills in the digital fashion industry environment. Additionally, it emphasizes the necessity of developing AI technology-specialized design prompts while maintaining a balance between traditional design education and digital design education for sustainable fashion design education.

Sketch, CAD, or simulate the build? Exploring novice designers’ design representation use in design for additive manufacturing

ABSTRACT The growing adoption of digital tools to support additive manufacturing (AM) calls for designers to rethink their use of design representations in the design process. For example, designers can automate concept generation through generative design, reducing reliance on conceptual sketches. Little research has explored designers’ use of design representations in design for AM (DfAM). We explored this gap through an observational study with novice designers involving an open-ended DfAM task, and their use of design representations was captured using eye-tracking. Overall, participants spent a significant amount of time CAD modeling their designs compared to using other design representations such as sketches and build simulations. Moreover, participants’ design representation usage did not relate to the creativity of their designs. However, participants who generate high-performing designs spent more time CAD modeling and less time sketching – a novel and important finding from our study. Therefore, the advancement of digital design tools and the growing adoption of digital manufacturing processes may result in designers conceptualizing their solutions in embodiment-based tools such as CAD and relying less on low-fidelity tools such as sketching. Our results provide an essential first step toward creating a generalized framework for designers to employ different design representations in DfAM.

Investigating the 20T Hybrid Full Adder Design for Low Power and High-Performance Computing

The 1-bit full adder is a crucial building block in digital circuits, widely used in various applications such as arithmetic circuits, digital filters, and computer memory. In this study, a thorough investigation of a novel 1-bit full adder circuits was conducted, covering their design, analysis, and optimization for minimizing their power consumption and delay while maintaining their robustness and functionality. The design also introduces modified XOR and XNOR gates as crucial components. The proposed circuit was simulated using Cadence Virtuoso tool with 90-nm GPDK CMOS technology. To evaluate the proposed adder, comparisons were made with several well-known adder designs based on power consumption, speed, and power delay product. The proposed hybrid full adder improved power delay product by 20.6% to 69.4% and reduced worst-case propagation delay by 16.6% to 63.5% compared to prior designs in the literature. This study's findings offer useful insights into digital circuit design and can contribute to the development of low-power, high-performance full adder circuits.

Application of an Adapted Health Action Process Approach Model to Predict Engagement With a Digital Mental Health Website: Cross-Sectional Study.

Digital Mental Health (DMH) tools are an effective, readily accessible, and affordable form of mental health support. However, sustained engagement with DMH is suboptimal, with limited research on DMH engagement. The Health Action Process Approach (HAPA) is an empirically supported theory of health behavior adoption and maintenance. Whether this model also explains DMH tool engagement remains unknown. This study examined whether an adapted HAPA model predicted engagement with DMH via a self-guided website. Visitors to the Mental Health America (MHA) website were invited to complete a brief survey measuring HAPA constructs. This cross-sectional study tested the adapted HAPA model with data collected using voluntary response sampling from 16,078 sessions (15,619 unique IP addresses from United States residents) on the MHA website from October 2021 through February 2022. Model fit was examined via structural equation modeling in predicting two engagement outcomes: (1) choice to engage with DMH (ie, spending 3 or more seconds on an MHA page, excluding screening pages) and (2) level of engagement (ie, time spent on MHA pages and number of pages visited, both excluding screening pages). Participants chose to engage with the MHA website in 94.3% (15,161/16,078) of the sessions. Perceived need (β=.66; P<.001), outcome expectancies (β=.49; P<.001), self-efficacy (β=.44; P<.001), and perceived risk (β=.17-.18; P<.001) significantly predicted intention, and intention (β=.77; P<.001) significantly predicted planning. Planning was not significantly associated with choice to engage (β=.03; P=.18). Within participants who chose to engage, the association between planning with level of engagement was statistically significant (β=.12; P<.001). Model fit indices for both engagement outcomes were poor, with the adapted HAPA model accounting for only 0.1% and 1.4% of the variance in choice to engage and level of engagement, respectively. Our data suggest that the HAPA model did not predict engagement with DMH via a self-guided website. More research is needed to identify appropriate theoretical frameworks and practical strategies (eg, digital design) to optimize DMH tool engagement.