Quantum Generative Adversarial Networks (QGANs) have emerged as a promising avenue for image de-noising, leveraging the principles of quantum computing to address challenges in traditional methodologies. In this study...
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ISBN:
(数字)9798350371567
ISBN:
(纸本)9798350371574
Quantum Generative Adversarial Networks (QGANs) have emerged as a promising avenue for image de-noising, leveraging the principles of quantum computing to address challenges in traditional methodologies. In this study, we introduce a novel approach for image de-noising with QGANs and evaluate its performance against conventional techniques. We preprocess images into quantum states and train a QGAN model to generate high-quality de-noised images. Our methodology involves implementing QGAN architecture, quantum preprocessing techniques, and evaluation metrics of the model. Through extensive experimentation and comparison with classical methods, we introduce the performance of our QGAN-based approach in reducing noise and enhancing image quality. This research contributes to the advancement of quantum computing applications in image processing and lays the foundation for future developments in quantum image d-enoising.
Manufacturing lines are evolving into complex cyber-physical production systems. However, their growth in complexity is not matched by the development of structured modeling and design methodologies. In particular, ap...
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ISBN:
(纸本)9781728129891
Manufacturing lines are evolving into complex cyber-physical production systems. However, their growth in complexity is not matched by the development of structured modeling and design methodologies. In particular, approaches exploiting both models typical of the manufacturing domain and models used by computer engineers are still missing. In this work, we outline a design flow contemplating the reuse of already existing manufacturing lines' models, while designing novel advanced production systems. To enable such a flow, we propose a methodology extracting System modeling Language (SysML) structural diagrams from AutomationML descriptions. Then, we propose to design the system functionalities on top of the produced diagrams. The paper shows the application of the methodology to a concrete manufacturing line, the structure of which was originally modeled using AutomationML. To exemplify the advantages of the methodology, we exploit the models being generated to automatically extract a digital twin for the production system transportation line. The resulting digital twin is compliant with a well-known plant simulation tool.
The combination of Artificial Intelligence (AI) and Digital Twin (DT) technologies in healthcare could revolutionize the administration and treatment of intricate conditions, including myocardial infarction and stroke...
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ISBN:
(数字)9798331533830
ISBN:
(纸本)9798331533847
The combination of Artificial Intelligence (AI) and Digital Twin (DT) technologies in healthcare could revolutionize the administration and treatment of intricate conditions, including myocardial infarction and stroke. This study offers an extensive analysis of contemporary methodologies and examines the prospects of a conceptual AIdriven digital twin framework for healthcare applications. The proposed system integrates real-time data, machine learning algorithms, and sophisticated computational methods to improve diagnostic accuracy and refine treatment approaches. Although current literature illustrates the efficacy of AI and digital technologies in customized medicine, substantial obstacles persist in data integration, processing capacity, and ethical issues. This study clarifies the present condition of AIdriven digital twin technologies and delineates critical domains for prospective research and development. The objective is to create a basis for enhancing the incorporation of these technologies in healthcare to optimize patient outcomes and clinical decision-making.
This paper presents the design of Dual-band compact microstrip patch antenna. The antenna was made of a material like FR-4 as a substrate and copper for the patch and ground. The design has a resonating frequency of $...
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ISBN:
(数字)9798331520540
ISBN:
(纸本)9798331520557
This paper presents the design of Dual-band compact microstrip patch antenna. The antenna was made of a material like FR-4 as a substrate and copper for the patch and ground. The design has a resonating frequency of $2.373 \mathbf{~ G H z}$ and 2.673 GHz for many small scale applications, and industrial applications with some significant Transmission characteristics. The proposed antenna was fabricated using a $30 \times 30 \mathrm{~mm}$ FR4 material substrate. This antenna has good characteristics for IoT communications, which is light weight and small in profile making its fabrication cost-effective as fabrication process easy. The height of the substrate is taken 1.5 mm as per consideration of bands and return losses. The design modeling incorporates highend simulation techniques using microwave CST Studio, allowing for the optimization of key performance metrics, including directivity, gain, and efficiency.
Edge Generative AI (Gen-AI) inference has become prevalent in every aspect of the society. Present flagship edge products, however, fail to achieve high performance on Gen-AI models for the sake of limited bandwidth. ...
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ISBN:
(数字)9798331530723
ISBN:
(纸本)9798331530730
Edge Generative AI (Gen-AI) inference has become prevalent in every aspect of the society. Present flagship edge products, however, fail to achieve high performance on Gen-AI models for the sake of limited bandwidth. An LPDDR4 compliant intelligent memory architecture is proposed in this paper to accelerate edge Gen-AI while maintaining regular LPDDR4 functions. simulation shows the proposed architecture performs several times better than flagship products on Gen-AI, showing promise of this near-memory processing architecture.
When the current transformer for traditional measurement is too large or too small, the measurement error will fluctuate greatly, resulting in a sharp deterioration of the measurement accuracy. In response to this pap...
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This document deals with the challenges in the teaching process that must respond agilely to the challenges of technological advances and other unexpected stimuli (the recent COVID pandemic, assertion of power interes...
This document deals with the challenges in the teaching process that must respond agilely to the challenges of technological advances and other unexpected stimuli (the recent COVID pandemic, assertion of power interests, etc.). It confronts the terms Industry 4.0 and Industry 5.0 and illustrates the importance of interoperability and enumerates the technologies to achieve it. It also presents an experimental platform for Industry 4.0 that addresses several Industry 5.0 challenges at the Institute of Mechatronics at the Slovak Technical University in Bratislava. It explains the importance of teaching Industry 4.0 technologies as a whole and introduces the development of an e-learning web application as a way of learning the necessary skills and shares its benefits and results.
Optical beam steering is important for applications such as Light Detection and Ranging (LiDAR). Currently, most commercial LiDARs rely on mechanical rotation to direct the optical beam, resulting in a mechanical LiDA...
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ISBN:
(数字)9781665454124
ISBN:
(纸本)9781665454124
Optical beam steering is important for applications such as Light Detection and Ranging (LiDAR). Currently, most commercial LiDARs rely on mechanical rotation to direct the optical beam, resulting in a mechanical LiDAR scan rate that is not optimal for applications such as autonomous vehicles. The metasurface-based beam steering system is believed to have the potential to fulfill all the challenges above. However, low efficiency and wide field of view are still a challenge. Therefore, a disc-shaped all-dielectric metasurface structure for the beam steering system is proposed. The proposed structure was optimized and investigated using electromagnetic analysis simulation software. By varying the geometrical dimensions of the meta-atoms, the optimal size is obtained at the wavelength of the C-Band Optical regime. In addition, the transmission of the output beam deflected by an angle of 45 degrees was achieved. Based on these results, the proposed structure can be a reference for developing beam steering system designs for autonomous vehicle applications in the future.
Interdigitated microelectrodes (IDEs) are simple 3D structures patterned at the level of various substrates. IDEs are basic constituting elements for many biosensing devices and are widely used currently in applicatio...
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The 9th edition of the CoMetS track aims to bring together leading researchers and practitioners from both the modeling and simulation (MS) community and the collaborative environments community, in order to focus on ...
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