The proceedings contain 33 papers. The topics discussed include: simulating reactive/passive postures by means of a human active torque hybrid minimization;multi-mode representation of motion data;predictive-spectral ...
The proceedings contain 33 papers. The topics discussed include: simulating reactive/passive postures by means of a human active torque hybrid minimization;multi-mode representation of motion data;predictive-spectral compression of dynamic 3D meshes;interactive deformation and visualization of large volume datasets;visual speech synthesis from 3D video;practical design and implementation of a cave system - high quality four walls cave Howto;3D spatial data mining on document sets for the discovery of failure causes in complex technical devices;stable haptic response for complex interactions;a fuzzy path finding algorithm based on artificial potential fields;mechanical performance of a manipulator in virtual reality systems;and diffraction modeling for interactive virtual acoustical environments.
The proceedings contain 45 papers. The topics discussed include: a fast interpolation method to represent the BRDF in global illumination;extracting terrain morphology - a new algorithm and a comparative evaluation;py...
The proceedings contain 45 papers. The topics discussed include: a fast interpolation method to represent the BRDF in global illumination;extracting terrain morphology - a new algorithm and a comparative evaluation;pyramid filters based on bilinear interpolation;modeling dendritic shapes - using path planning;fitting 3D morphable models using implicit representations;volumetric snapping: watertight triangulation of point clouds;a simple and fast hardware-accelerated point-in-polygon test;simplipoly: curvature-based polygonal curve simplification;surface modeling of multi-point, multi-flute cutting tools;pressure based ink diffusion model for real-time simulation of Chinese calligraphy;a hybrid backward-forward method for interactive reflections;and automatic integration of foilage into 3D city models - real-time tree extraction and rendering based on seasonal large scale aerial pictures.
Global and Regional Assimilation and Prediction System (GRAPES) is a domestically developed numerical weather prediction system in China. The microphysical process is the key physical process of cloud formation and pr...
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Systems on time scales incorporate continuous- and discrete-time dynamical systems. They can serve as models of real systems from various areas. Positive systems on time scales are studied here in more detail. Such sy...
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This paper presents a groundbreaking exploration into quantum computing's capacity to revolutionize computational arithmetic through the development of a 2-bit multiplication quantum circuit. Leveraging the unique...
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ISBN:
(纸本)9783031734168;9783031734175
This paper presents a groundbreaking exploration into quantum computing's capacity to revolutionize computational arithmetic through the development of a 2-bit multiplication quantum circuit. Leveraging the unique properties of quantum mechanics, particularly the phenomena of superposition and entanglement, this study navigates beyond classical computing limits. It intricately designs and implements a quantum circuit capable of multiplying two binary numbers, demonstrating a significant advancement in quantum computational technology. Utilizing qubits, the quantum analogs of bits, the circuit fundamentally redefines the multiplication process, adhering to quantum mechanics principles rather than classical binary operations. Our approach emphasizes the intricate orchestration of quantum gates within the circuit, with a particular focus on Controlled NOT (CNOT) and Toffoli gates. These are crucial for the arithmetic logic underpinning our multiplication task, illustrating the nuanced application of quantum theory to practical computation. The circuit showcases a pragmatic application of quantum computing principles, contributing to the burgeoning field of quantum algorithms. It serves as a vital stepping stone toward realizing more complex quantum arithmetic operations and their broader applications. Implemented using IBM's Qiskit, a versatile quantum computing software development framework, the circuit's design and functionality were rigorously tested in simulated environments. The results validate the circuit's efficiency and accuracy, confirming the successful quantum multiplication of 2-bit numbers. This work not only enriches the existing quantum algorithm repository but also sets a precedent for future quantum computing endeavors, particularly in optimizing and scaling quantum arithmetic operations.
A distribution network reconfiguration technique that takes into account the time-varying nature of distributed power sources is proposed for a high proportion of distributed power sources accessing the distribution n...
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With the advent of the era of big data and 5G communications' massive data, high-speed cryptographic algorithms are in demand. This paper proposes a new fast implementation of the Advanced Encryption Standard (AES...
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An overview of the use of Generative Adversarial Networks (GANs) in computer vision—image synthesis and manipulation—is given in this study. A generator and a discriminator are two complex neural networks that are t...
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ISBN:
(数字)9798331530389
ISBN:
(纸本)9798331530396
An overview of the use of Generative Adversarial Networks (GANs) in computer vision—image synthesis and manipulation—is given in this study. A generator and a discriminator are two complex neural networks that are trained in competition to form GANs. Owing to the formidable capabilities of deep neural networks and their adversarial training approach, GANs exhibit the ability to generate realistic and plausible images, thereby demonstrating remarkable prowess across various applications in the realm of image synthesis and manipulation. This survey paper delves into recent GAN-related research. Working on the progressive GANs model technique, the authors find out how capable it is compared to other GANs algorithms. Building an image synthesis Progressive Generative Adversarial Networks (ProGANs) is a complex process with several steps that work together to produce high-quality pictures.
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