This paper addresses the challenge of enhancing realism in virtual reality (VR) environmental design, particularly by overcoming the limitations of traditional 3D plant modeling methods that fail to capture dynamic an...
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ISBN:
(纸本)9789887891833
This paper addresses the challenge of enhancing realism in virtual reality (VR) environmental design, particularly by overcoming the limitations of traditional 3D plant modeling methods that fail to capture dynamic and temporal nuances across annual seasons. The approach integrates realistic, time-sensitive modifications into VR plant modeling. It employs a methodology where source images for instant neural graphics primitives (Instant-ngp) are preprocessed using a Stable Diffusion model optimized by a Low-Rank Adaptation (LoRA) focusing on tree structures. This preprocessing step enriches Instant-ngp's input data, enabling the creation of 4D plant models that exhibit both spatial detail and temporal dynamics, mirroring natural seasonal variations. Stable Diffusion and LoRA are applied beforehand to improve the realism of the generated models. Virtual source trees are utilized for testing and refining the approach, aiming to enhance the representation of plant models in VR environments. This research contributes to making VR simulations more immersive and realistic, with potential applications in virtual landscaping, urban planning, and therapeutic environments. The study acknowledges the initial nature of this research and the ongoing need for exploration to fully realize these applications' potential.
This Year Marks our return to a fully in-person internationalconference on computer-aideddesign (ICCAD) after the COVID-19 pandemic. We are thrilled to resume an event with personal interactions and extensive networ...
This Year Marks our return to a fully in-person internationalconference on computer-aideddesign (ICCAD) after the COVID-19 pandemic. We are thrilled to resume an event with personal interactions and extensive networking while retaining some good practices adopted during the pandemic of having a virtual platform where participants and authors can connect remotely.
Different design requirements lead to the adoption of various approaches in computer-aided drawing, impacting the visualization, synthesis, drawing, and output ofmaterials. This study aligns with the requirements of b...
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In the realm of lightweight materials in architecture, knitting as a discrete additive method has enabled the creation of functionally graded material (FGM). For the current research in encoding methods for knitting F...
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ISBN:
(纸本)9789887891833
In the realm of lightweight materials in architecture, knitting as a discrete additive method has enabled the creation of functionally graded material (FGM). For the current research in encoding methods for knitting FGM materials, researchers tend to focus on a limited number of surface transitions to study localized material traits. However, designing at an architectural scale demands multiple hierarchical structures for smooth transitions due to amplified performance differences, resulting in a complex system. Thus, organizing knitting units during encoding becomes crucial. This paper proposes a modulus-based encoding method for architectural knitting FGM materials, accommodating various surface types to create continuous gradient patterns. Based on the Grasshopper platform and STOLL machines, the method translates 3D models into machine encoding by using BMP (Bitmap) graphics. The method was successfully applied in a workshop in Tongji University. This research explores the fabrication of knitting FGM materials with multi-patterns in architecture, aiming to inspire innovative applications of fabrics in architecture.
computer-aideddesign technologies have become dominant in the industrial, technological and household spheres. computer-aideddesign systems (CAD) represent an important link in industrial design, widely used in many...
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Modern GPUs have integrated multilevel cache hierarchy to provide high bandwidth and mitigate the memory wall problem. However, the benefit of on-chip cache is far from achieving optimal performance. In this article, ...
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Modern GPUs have integrated multilevel cache hierarchy to provide high bandwidth and mitigate the memory wall problem. However, the benefit of on-chip cache is far from achieving optimal performance. In this article, we investigate existing cache architecture and find that the cache utilization is imbalanced and there exists serious data duplication among L1 cache *** order to exploit the duplicate data, we propose an intergroup cache cooperation (ICC) method to establish the cooperation across L1 cache groups. According the cooperation scope, we design two schemes of the adjacent cache cooperation (ICC-AGC) and the multiple cache cooperation (ICC-MGC). In ICC-AGC, we design an adjacent cooperative directory table to realize the perception of duplicate data and integrate a lightweight network for communication. In ICC-MGC, a ring bi-directional network is designed to realize the connection among multiple groups. And we present a two-way sending mechanism and a dynamic sending mechanism to balance the overhead and efficiency involved in request probing and *** results show that the proposed two ICC methods can reduce the average traffic to L2 cache by 10% and 20%, respectively, and improve overall GPU performance by 19% and 49% on average, respectively, compared with the existing work.
The study of computergraphics, image design and visual communication design is the study of the visual appearance of objects, images or scenes. It relates to various techniques for creating these appearances. These t...
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This paper explores the feasibility of incorporating computeraided tools in mechatronic design courses by Project-Based Learning. The challenges of engineering education are discussed, some principles to develop new ...
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ISBN:
(纸本)9798350385731;9798350385724
This paper explores the feasibility of incorporating computeraided tools in mechatronic design courses by Project-Based Learning. The challenges of engineering education are discussed, some principles to develop new engineering electives are introduced, and these principles are used to design ME-546 Advanced computeraideddesign and computeraided Manufacturing (CAD/CAM) Theory and Applications at Purdue University Fort Wayne. To cope with the need to incorporate advanced computer technologies in Engineering Education, we promote project-based learning to support needs-driven mechatronic design. This motivates students to explore advanced computer-assistive tools with minimal guidance to solve real-world engineering problems. Moreover, the project " Emergency Evacuation System for Disabilities in Wheelchair" sponsored by Engineering Projects in Community Service (EPICS) of ieee is used thoroughly to define all course projects in class. The proposed work is still ongoing, but the current progress has shown optimism in motivating students for self-learning and exploring themselves to AI tools including various advanced computeraided tools to the great extent in a shortened time.
Influenced by traditional interior design concepts, the application effect of computer-aided interior design is not satisfactory and cannot effectively meet people's requirements for interior design. Therefore, in...
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The first ACM/ieee TinyML design Contest (TDC) held at the 41st internationalconference on computer-aideddesign (ICCAD) in 2022 is a challenging, multimonth, research and development competition. TDC'22 focuses ...
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The first ACM/ieee TinyML design Contest (TDC) held at the 41st internationalconference on computer-aideddesign (ICCAD) in 2022 is a challenging, multimonth, research and development competition. TDC'22 focuses on real-world medical problems that require the innovation and implementation of artificial intelligence/machine learning (AI/ML) algorithms on implantable devices. The challenge problem of TDC'22 is to develop a novel AI/ML-based real-time detection algorithm for life-threatening ventricular arrhythmia (VA) over low-power microcontrollers utilized in implantable cardioverter-defibrillators (ICDs). The dataset contains more than 38000 5-s intracardiac electrograms (IEGMs) segments over eight different types of rhythm from 90 subjects. The dedicated hardware platform is NUCLEO-L432KC manufactured by STMicroelectronics. TDC'22, which is open to multiperson teams world-wide, attracted more than 150 teams from over 50 organizations. This article first presents the medical problem, dataset, and evaluation procedure in detail. It further demonstrates and discusses the designs developed by the leading teams as well as representative results. This article concludes with the direction of improvement for the future TinyML design for health monitoring applications.
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