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检索条件"任意字段=Conference on Visual Information Processing and Communication II"

共 4900 条记录，以下是1-10 订阅

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Computer graphics and image processing techniques based on visual communication design 4

Computer graphics and image processing techniques based on v...

引用

4th International conference on Computer Vision, Application, and Algorithm, CVAA 2024

作者： Chen, Zhaoguo College of Arts Shandong Agricultural Engineering University Shandong Province Jinan250103 China

ISBN: (数字)9781510687622

ISBN: (纸本)9781510687615

To fully harness the capabilities of computer graphics and image processing technologies and elevate the quality of visual communication design, this paper presents a comprehensive suite of innovative methodologies. Firstly, the fundamental principles of primary colors are utilized to formulate a series of vector functions, facilitating the precise calculation of error distances and the establishment of an intricate visual communication zoning model. Subsequently, through the exhaustive extraction of pertinent feature information from graphics and images, we achieve the scientific encoding of coefficient-constrained features and determine the corresponding hyperplanes to acquire the relevant parameters for visual communication. Eventually, the implementation of advanced design image expression algorithms markedly enhances the effectiveness of visual communication image representation. The empirical findings reveal that these visual communication design methods exhibit remarkable reliability and feasibility, effectively boosting image recognition accuracy across four distinct image categories with varying levels of complexity, thereby yielding exceptional visual communication outcomes. © 2025 SPIE.

关键词： Design visual communications visualization Computer graphics Image processing Image storage Color Image segmentation Image enhancement

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Towards Dynamic Neural communication and Speech Neuroprosthesis Based on Viseme Decoding

Towards Dynamic Neural Communication and Speech Neuroprosthe...

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2025 IEEE International conference on Acoustics, Speech, and Signal processing, ICASSP 2025

作者： Park, Ji-Ha Lee, Seo-Hyun Kim, Soowon Lee, Seong-Whan Dept. of Artificial Intelligence Korea University Seoul Korea Republic of Dept. of Brain and Cognitive Engineering Korea University Seoul Korea Republic of

ISBN: (纸本)9798350368741

Decoding text, speech, or images from human neural signals holds promising potential both as neuroprosthesis for patients and as innovative communication tools for general users. Although neural signals contain various information on speech intentions, movements, and phonetic details, generating informative outputs from them remains challenging, with mostly focusing on decoding short intentions or producing fragmented outputs. In this study, we developed a diffusion model-based framework to decode visual speech intentions from speech-related non-invasive brain signals, to facilitate face-to-face neural communication. We designed an experiment to consolidate various phonemes to train visemes of each phoneme, aiming to learn the representation of corresponding lip formations from neural signals. By decoding visemes from both isolated trials and continuous sentences, we successfully reconstructed coherent lip movements, effectively bridging the gap between brain signals and dynamic visual interfaces. The results highlight the potential of viseme decoding and talking face reconstruction from human neural signals, marking a significant step toward dynamic neural communication systems and speech neuroprosthesis for patients. © 2025 IEEE.

关键词： brain signals brain-computer interface diffusion model electroencephalogram neural communication signal processing speech neuroprosthesis

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information Extraction to Identify Novel Technologies and Trends in Renewable Energy 24th

Information Extraction to Identify Novel Technologies and Tr...

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24th International TRIZ Future conference

作者： MacLean, Connor Cavallucci, Denis INSA Strasbourg 24 Bd Victoire F-67000 Strasbourg France

ISBN: (纸本)9783031759253;9783031759239;9783031759222

Achieving carbon neutrality by 2050 requires unprecedented technological, economic, and sociological changes. With time as a scarce resource, it is crucial to base decisions on relevant facts and information to avoid misdirection. This study aims to help decision makers quickly find relevant information related to companies and organizations in the renewable energy sector. Over the course of this PhD program, we will propose several text-mining methods applied to the renewable energy sector in order to detect technological breakthroughs and new, innovative companies. These techniques include specialized Named Entity Recognition (NER) models, news summarization, and trend analysis of scientific articles. Further steps in this project will contain a TRIZ-based analysis of scientific articles in order to attribute a multi-factor score on the innovative potential of novel technologies.

关键词： Natural Language processing Named Entity Recognition Topic Modeling Renewable Energy TRIZ

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Leveraging information Retrieval Pipelines for Inventive Design: Application in Efficient Lattice Structures Manufacturing 24th

Leveraging Information Retrieval Pipelines for Inventive Des...

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24th International TRIZ Future conference

作者： Ayaou, Iliass Chibane, Hicham Koch, Simon Cavallucci, Denis INSA Strasbourg ICube CSIP Strasbourg France

ISBN: (纸本)9783031759253;9783031759239;9783031759222

In the contemporary landscape of technological advancement, artificial intelligence (AI) holds immense potential to address complex issues. This study aims at exploring AI's applicability in the initial stages of inventive design processes, specifically focusing on the initial situation analysis and resolution phases. It emphasizes leveraging information retrieval techniques, for the efficient design of innovative lattice structures, a noteworthy industrial challenge encompassing mass production at low cost. The approach entails formulating a TRIZ based contradiction query in natural language and implementing an intricate information retrieval pipeline using a meticulously analyzing vast patent databases, as they epitomize a significant knowledge pool in the realm of technological innovations. This research underscores the nuanced challenges associated with optimizing retrieval pipelines to ensure reliable and contextually relevant data extraction. Ultimately culminating in the development of novel lattice structures, our findings accentuate new horizons in industrial production.

关键词： Inventive Design Artificial intelligence information retrieval Natural language processing TRIZ Lattice structures 3D print

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2025 4th International conference on Electronic information and communication Engineering, EICE 2025

2025 4th International Conference on Electronic Information ...

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4th International conference on Electronic information and communication Engineering, EICE 2025

The proceedings contain 27 papers. The topics discussed include: a pruned wavelet neural network noise optimization method for fiber optic gyroscope;an improved NSGA-ii algorithm for multi-sensor scheduling optimization;research on automated annotation technology for radar range angle-doppler data based on visual supervision mechanism;multi-UAV deployment in complex mountain marathon: two tier relay and multi-objective genetic optimization;mobile sink path planning for data collection in three dimensional wireless sensor network;design of high voltage envelope tracking power supply based on multilevel architecture;a dynamic STC attenuation strategy based on environmental perception;and an automatic balancing algorithm for interface timing skew.

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On the Analysis of EGaIn Liquid Antenna Array: Towards Enhanced Performance and Adaptability in Wireless communication Systems 21st

On the Analysis of EGaIn Liquid Antenna Array: Towards Enhan...

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21st European, Mediterranean, and Middle Eastern conference on information Systems

作者： Lavdas, Spyros Tariq, Muhammad H. Papadias, Constantinos B. Amer Coll Greece ACG Dept Informat Technol Smart Wireless Future Technol SWIFT Lab Athens Greece

ISBN: (纸本)9783031813245;9783031813252

dipole crossed antenna array involving hybrid radiating elements composed of copper, annealed steel, and liquid metal (LM). Significantly, this study marks for the first time, to the best of our knowledge, the pioneering integration of LM radiating elements into an antenna array, introducing a capability to dynamically adjust the physical size of their radiating elements while maintaining optimal array performance. In particular, the configuration consists of a.10 x 10 array of dipole crossed antenna elements, mainly consisted of an alloy of eutectic Gallium Indium (EGaIn) cylinders. Each dipole consists of eight cylinders of EGaIn, achieving an exceptional efficiency exceeding 80% within a frequency range of 1.5 GHz to 2.1 GHz. Notably, the analysis results reveal a remarkable realized gain of 21 dB, with the radiation pattern remaining consistent across the entire operating frequency bandwidth. This innovative concept paves the way for future applications not in only in the realm of 5G cellular multiple input multiple output (MIMO) networks but also in the forthcoming 6G wireless communication systems.

关键词： Fluid antenna systems Antenna array Flexible antennas Liquid antennas MIMO EGaIn

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Fully Optical Integrated Mixture-of-Experts System 24

Fully Optical Integrated Mixture-of-Experts System

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4th International conference on Signal processing and communication Technology, SPCT 2024

作者： Li, Chen Shandong Massive Information Technology Research Institute Shandong Jinan China

ISBN: (纸本)9798400710636

A fully optically integrated Mixture-of-Experts (MoE) system is introduced to address the explosive growth in computational power demands in the development of artificial intelligence technologies. Here, we highlights the potential of optical computing in solving communication challenges for MoE models and proposes a fully optically integrated MoE system. This system integrates on-chip subwavelength diffraction units (SWU) as expert models and uses Mach-Zehnder interferometers (MZI) as gating and tuning modules to achieve system integration. The system not only solves the technical issue of on-chip training difficulty in existing optical diffraction computing models but also overcomes the performance limitations of optical interference computing models. By combining the advantages of both, it enhances the performance of optical computing models and the scalability of optical systems. Finally, the article validates the feasibility of the system in visual tasks through simulation experiments and demonstrates the simulation results of signal input and output using MZI, proving the feasibility of the scheme. © 2024 Copyright held by the owner/author(s).

关键词： Mach-Zehnder interferometers

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Refiner: Fine-grained Cross-modal Concepts Refinement for Compositional Zero-Shot Learning

Refiner: Fine-grained Cross-modal Concepts Refinement for Co...

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2025 IEEE International conference on Acoustics, Speech, and Signal processing, ICASSP 2025

作者： Zhang, Xiao Jing, Haodong Chen, Hui Ma, Yongqiang Zheng, Nanning National Key Laboratory of Human-Machine Hybrid Augmented Intelligence National Engineering Research Center for Visual Information and Applications Institute of Artificial Intelligence and Robotics Xi'an Jiaotong University Shaanxi China

ISBN: (纸本)9798350368741

Recent Compositional Zero-Shot Learning (CZSL) methods increasingly adopt the pre-trained vision-language models to capture the contextual relations between image and text spaces. However, the single-class-token design from Transformer-based encoder inevitably captures contextual information from unrelated objects and background, thus hindering the modeling of fine-grained class-specific visual features. Suffering from cross-modal gap, prior methods also struggle to improve compositional recognition performance. To address these issues, we propose a fine-grained cross-modal concepts refinement framework, termed as Refiner, which comprises two pivotal components: (i) the fine-grained concepts refinement of image embeddings to capture state-object context within visual scenes, and (ii) the cross-modal information fusion to mitigate the modality gap. By leveraging learnable query vectors to capture region-specific semantic information pertinent to composition labels, our approach refines visual representations with fine-grained state-object context information. As for cross-modal information fusion, we construct a robust image-to-text mapping by aligning visual embeddings with states, objects, and compositions, respectively. Extensive experiments demonstrate that our Refiner achieves new state-of-the-art performance across all popular benchmarks in both closed- and open-world settings. © 2025 IEEE.

关键词： Compositional Zero-shot Learning Cross-Modal Fusion Fine-Grained Refinement Multimodal Models

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SmartCML: A visual Modeling Language to Enhance the Comprehensibility of Smart Contract Implementations 17th

SmartCML: A Visual Modeling Language to Enhance the Compre...

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17th IFIP 8.1 Working conference on the Practice of Enterprise Modeling, PoEM 2024

作者： Curty, Simon Fill, Hans-Georg Digitalization and Information Systems Group University of Fribourg Bd de Pérolles 90 Fribourg1700 Switzerland

ISBN: (纸本)9783031779077

One of the most notable capabilities of blockchain technology, exemplified by the Ethereum platform, is the decentralized execution of deterministic code, commonly referred to as smart contracts. This can be employed to develop business services that capitalize on the unique properties of blockchain technology, including the ability to maintain immutable, transparent, and persistent records on a distributed ledger. Nevertheless, even experts may find the process of writing smart contracts challenging. In addition to cost, optimization, and security concerns, it is essential to ensure that the smart contracts align with the business case and the associated rules. To address this issue, we propose SmartCML, a domain-specific visual modeling language to draft smart contracts, with the primary objective of facilitating the communication of the codified information among relevant stakeholders. The modeling language has been implemented using the ADOxx metamodeling platform. Smart contract models can then be transformed into fully functional code for the Ethereum virtual machine. The application of the modeling language is demonstrated with the help of two use cases. © IFIP International Federation for information processing 2025.

关键词： Smart contract

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Research on Multi-class Fine Motor Intention Recognition of Hands 24

Research on Multi-class Fine Motor Intention Recognition of ...

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4th International conference on Signal processing and communication Technology, SPCT 2024

作者： Yang, Yang Yan, Bian Miao, Sun Tianjin Key Laboratory of Information Sensing and Intelligent Control Tianjin Vocational and Technical Normal University Tianjin China

ISBN: (纸本)9798400710636

To address the problem of poor precision of fine motor intention recognition, which is difficult to apply to the field of neural rehabilitation, this paper designed a bilateral motor imagery (MI) paradigm using dynamic visual imagery: There were four kinds of motor intentions: left hand to finger, left hand to grip, right hand to finger, right hand to grip. Time-frequency map, brain topographic map and R2 coefficient were used to analyze the divisibility features among different categories. FBCSP (filter bank - common space model) and SVM (support vector machine) models were used to classify the fine motor intentions among various categories. The research results prove that the event-related desynchronization (ERD) features of multiple types of fine motor intentions in the same part are separable under the dynamic visual auxiliary stimulus paradigm. The average recognition accuracy of 4 types of fine motor intentions of 12 subjects can reach 63.7±3.67%, which is significantly higher than the random probability of 4 types. The experimental results show that the proposed method can effectively distinguish multiple types of fine motor intentions in the same part, and provide a new way for its application in the field of neurological rehabilitation. © 2024 Copyright held by the owner/author(s).

关键词： Neurons

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