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检索条件"任意字段=11th International Conference on Computer-Aided Design and Computer Graphics"

共 8468 条记录，以下是541-550 订阅

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11th international conference on Intelligent Computing and Applications, ICRTC 2023

11th International Conference on Intelligent Computing and A...

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11th international conference on Intelligent Computing and Applications, ICRTC 2023

ISBN: (纸本)9789819717231

the proceedings contain 70 papers. the special focus in this conference is on Intelligent Computing and Applications. the topics include: RNN Learning for Dynamic Selection of Channel Access Scheme in FANETs;a Crime Knowledge Discovery Scheme Based on Entity Recognition, Relation Extraction, and Development of Criminal Profiling Using Modus Operandi;optimized Biometric Key Management System for Enhanced Security;human Posture Identification and Recognition Using Deep Learning Techniques;twitter Sentiment Analysis Using Different Machine Learning Techniques;exploring Empirical Mode Decomposition for Music Genre Classification Using Deep Learning;a Comparative Analysis of Fog Computing’s Problems, Challenges and Future Directions;explainable Artificial Intelligence Insight: An Orderly Survey;deep Learning-Based Sign Language Translator;Analysis of Arrhythmia from Electrocardiogram (ECG) Data Using ML Framework;brain Tumor Detection Using Quantum Neural Network;augmented Reality-Based Application for Indian Monuments;fog Obscurity Mitigation;a Load Balancing Using Multi-population Grasshopper Optimization Approach for Workflow Tasks in Clouds;parental Control for Techie Child Using Keylogger;modified Box Filter design and Noise Analysis on Two-Dimensional Images;Change Detection in Remote Sensing SAR Image Using a Ratio-Based Operator;automatic Question Generation: A Comparative Analysis of Rule-Based and Neural Network-Based Models;mango Leaf Images Quality Improvement Techniques Using Subjective Approach of Image Enhancement;real-Time 3D Texture and Motion Analysis for Face Anti-spoofing Using Deep Learning and computer Vision;Hybrid Sentiment Polarity Prediction Scheme in Social Networks using Attention Mechanism and Improved CNN;survival Analysis of Heart Failure Patients with Advanced Machine Learning Models;a Differential Privacy Perturbation with Random Forest Classifier in Medical Database;smart Application for Early Detection of Rice Plant Disease Using Incept

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SIMPLE TEMPERATURE MODEL FOR HALF-BRIDGE MODULES IN DC-DC CONVERTERS 11

SIMPLE TEMPERATURE MODEL FOR HALF-BRIDGE MODULES IN DC-DC CO...

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11th international conference on Power Electronics, Machines and Drives, PEMD 2022

作者： Kunstbergs, Noass Hinz, Hartmut Schofield, Nigel Marquina Sandoval, Mathias Diego Roll, Dennis Michalik, Robert Faculty of Computer Science and Engineering Frankfurt University of Applied Sciences Frankfurt Germany Department of Engineering and Technology University of Huddersfield Huddersfield United Kingdom Faculty of Computer Science and Engineering Universidad de Cadiz Cadiz Spain

ISBN: (数字)9781839537189

ISBN: (纸本)9781839537189

Estimating junction temperature during the operation of power semiconductors is essential to avoid damage and to increase lifetime. However, published literature usually presents complex solutions to determine temperature rise. these require parameters that are not available in datasheets. Nevertheless, there is usually no additional information available for the design stage. this study introduces a simple method to determine device junction temperature of half-bridge modules using only datasheet parameters and the ambient temperature. this paper presents results from the proposed circuit design undertaken in the simulation environment PSIM and the simulation tool Semisel. the results are validated with a DC-DC converter operating up to 6.5 kW. the results show that the proposed model can predict temperature rise with a maximum deviation of 5.5%. © IET conference Proceedings. All right reserved.

关键词： DC-DC converters

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Evaluation of Multi-Scale Multiple Instance Learning to Improve thyroid Cancer Classification 11

Evaluation of Multi-Scale Multiple Instance Learning to Impr...

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11th international conference on Image Processing theory, Tools and Applications (IPTA)

作者： Tschuchnig, Maximilian E. Grubmueller, Philipp Stangassinger, Lea M. Kreutzer, Christina Couillard-Despres, Sebastien Oostingh, Gertie J. Hittmair, Anton Gadermayr, Michael Salzburg Univ Appl Sci Salzburg Austria Spinal Cord Injury & Tissue Regenerat Ctr Salzbur Res Inst Expt Neuroregenerat Salzburg Austria Kardinal Schwarzenberg Klinikum Dept Pathol & Microbiol Schwarzach Im Pongau Austria

ISBN: (纸本)9781665469647

thyroid cancer is currently the fifth most common malignancy diagnosed in women. Since differentiation of cancer sub-types is important for treatment and current, manual methods are time consuming and subjective, automatic computer-aided differentiation of cancer types is crucial. Manual differentiation of thyroid cancer is based on tissue sections, analysed by pathologists using histological features. Due to the enormous size of gigapixel whole slide images, holistic classification u sing deep learning methods is not feasible. Patch based multiple instance learning approaches, combined with aggregations such as bag-of-words, is a common approach. this work's contribution is to extend a patch based state-of-the-art method by generating and combining feature vectors of three different patch resolutions and analysing three distinct ways of combining them. the results showed improvements in one of the three multi-scale approaches, while the others led to decreased scores. this provides motivation for analysis and discussion of the individual approaches.

关键词： Histology computer-aided diagnosis thyroid cancer WSI classification Multi-resolution classification

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design and Control of Optimized Switched Capacitor for EV Wireless Power Transfer Systems Considering Wide Coupling Coefficient Range 11

Design and Control of Optimized Switched Capacitor for EV Wi...

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11th international conference on Power Electronics - ECCE Asia, ICPE 2023-ECCE Asia

作者： Sim, Dong Hyeon Jo, Hyeon-Woo Lee, Ju-A Son, Won-Jin Lee, Byoung Kuk Sungkyunkwan University Department of Electrical and Computer Engineering Suwon-si Korea Republic of

ISBN: (纸本)9788957083505

this paper proposes an output voltage control method of an inductive power transfer (IPT) system for electric vehicles (EVs) considering the coupling coefficient variation as a result of magnetic pad misalignment. Since the output voltage of the IPT converter corresponds to the input voltage of the DC-DC converter, an excessively wide output voltage range increases the burden on the DC-DC converter. therefore, a method of limiting the output voltage range of the IPT converter by applying a switched capacitor method is proposed. A 7.2kW class IPT system is designed, and the compensation topology characteristics determined by the switched capacitor are analyzed. Finally, the feasibility of the output voltage control method proposed in this paper was verified by experiment. © 2023 the Korean Institute of Power Electronics.

关键词： Electric vehicles

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Deep Reinforcement Learning-based Computing Offloading and Resource Allocation Algorithm in Internet of Vehicles 11

Deep Reinforcement Learning-based Computing Offloading and R...

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2023 IEEE 11th international conference on Information, Communication and Networks, ICICN 2023

作者： Yuan, Yiping Chen, Xin Jiao, Libo Wang, Yijie Beijing Information Science & Technology University School of Control Science and Engineering Beijing China Beijing Information Science & Technology University School of Computer Science Beijing China

ISBN: (纸本)9798350314014

With the rapid emergence of the Internet of Vehicles (IoV) and 6G networks, the exponential growth in data traffic has presented a formidable challenge to the limited computational capabilities of in-vehicle devices. To overcome this challenge, mobile edge computing (MEC) offers a viable solution by offloading computationally intensive tasks to the edge servers. In this study, we design a novel joint optimization approach that leverages deep reinforcement learning (DRL) to inform decisions on computational offloading, energy consumption, and resource allocation. Our proposed scheme considers the involvement of both the base station (BS) and road side units (RSUs) in providing computing resources to the user while simultaneously minimizing energy consumption and reducing latency of computational tasks. Our simulations unequivocally establish the efficacy of the Deep Reinforcement Learning-based computing offloading and resource allocation (DCORA) algorithm. the proposed DCORA algorithm outperforms alternative baseline schemes by approximately 15% in direct comparison. © 2023 IEEE.

关键词： Reinforcement learning

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Drug Molecule Generation Method Based on Fusion of Protein Sequence Features 20th

Drug Molecule Generation Method Based on Fusion of Protein S...

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20th international conference on Intelligent Computing (ICIC)

作者： Wang, Mengyao Zhang, Xiaolong Liu, Haoran Lin, Xiaoli Hu, Jing Pang, Jun Wuhan Univ Sci & Technol Coll Comp Sci & Technol Wuhan 430080 Hubei Peoples R China Wuhan Univ Sci & Technol Hubei Key Lab Intelligent Informat Proc & Real Ti Wuhan Peoples R China

ISBN: (纸本)9789819756919;9789819756926

computer-aided drug design (CADD) plays a crucial role in accelerating the drug discovery process, particularly when structural information of the target is unavailable. this paper proposed a drug design model based on the protein sequence features. the model utilizes Transformer and a graph neural network (GNN) algorithm based on the weighted protein graph to obtain protein sequence features. this approach allows model to effectively understand and utilize complex information about protein sequences and their spatial structure. By fusing these features through an attentional mechanism, it is used as a constraint to guide the generation of drug molecules. In order to comprehensively evaluate and screen out the most promising molecular candidates, this paper applies the non-dominated sorting algorithm (NSGA) to sort various drug properties of newly generated drug molecules. Finally, the newly generated drug molecules were evaluated for quality and molecular docking. the results showed that the proposed method is capable of generating drug molecules with high affinity for the target and optimized binding conformation.

关键词： Drug design Deep Learning Protein Sequence Molecular Docking

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11th international conference on Analysis of Images, Social Networks and Texts, AIST 2023

11th International Conference on Analysis of Images, Social ...

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11th international conference on Analysis of Images, Social Networks and Texts, AIST 2023

ISBN: (纸本)9783031545337

the proceedings contain 25 papers. the special focus in this conference is on Analysis of Images, Social Networks and Texts. the topics include: Transformers Compression: A Study of Matrix Decomposition Methods Using Fisher Information;leveraging Taxonomic Information from Large Language Models for Hyponymy Prediction;content Selection in Abstractive Summarization with Biased Encoder Mixtures;RuCAM: Comparative Argumentative Machine for the Russian Language;paraphrasers and Classifiers: Controllable Text Generation for Text Style Transfer;less than Necessary or More than Sufficient: Validating Probing Dataset Size;unsupervised Ultra-Fine Entity Typing with Distributionally Induced Word Senses;static, Dynamic, or Contextualized: What is the Best Approach for Discovering Semantic Shifts in Russian Media?;controllable Story Generation Based on Perplexity Minimization;automatic Detection of Dialectal Features of Pskov Dialects in the Speech of Native Speakers;needle in a Haystack: Finding Suitable Idioms Based on Text Descriptions;DeepLOC: Deep Learning-Based Bone Pathology Localization and Classification in Wrist X-Ray Images;MiVOLO: Multi-input Transformer for Age and Gender Estimation;handwritten Text Recognition and Browsing in Archive of Prisoners’ Letters from Smolensk Convict Prison;greedy Algorithm for Fast Finding Curvilinear Symmetry of Binary Raster Images;ensemble Clustering with Heterogeneous Transfer Learning;Detecting design Patterns in Android Applications with CodeBERT Embeddings and CK Metrics;metamorphic Testing for Recommender Systems;Application of Dynamic Graph CNN* and FICP for Detection and Research Archaeology Sites;visualization-Driven Graph Sampling Strategy for Exploring Large-Scale Networks;limit Distributions of Friendship Index in Scale-Free Networks;the Problem of Finding Several Given Diameter Spanning Trees of Maximum Total Weight in a Complete Graph;is Canfield Right? On the Asymptotic Coefficients for the Maximum Antichain of Partitio

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An Evaluation of Smart City Models Towards a New Service design Model 11th

An Evaluation of Smart City Models Towards a New Service D...

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11th international conference on Smart Cities and Green ICT Systems, SMART-GREENS 2022 and the 8th international conference on Vehicle Technology and Intelligent Transport Systems, VEHITS 2022

作者： Walletzký, Leonard Bayarsaikhan, Odonchimeg Ge, Mouzhi Schwarzová, Zuzana Faculty of Informatics Masaryk University Brno Czech Republic Deggendorf Institute of Technology Deggendorf Germany

ISBN: (纸本)9783031374692

Due to the emergence of smart city applications, various smart city models and architectures have been proposed in different domains. Since there are strengths and weaknesses among those smart city models, it is therefore valuable to evaluate the smart city models and use the results to further develop a new service design model in the smart city. this can on the one hand provide an overview of the similarity and differences of smart city models, and on the other hand, it will also help the new smart service design to avoid reinventing the wheel. therefore, this paper firstly classifies the smart city models with a conceptual and structural view, where the conceptual models focus on the interactions of components and the structural models are featured by layers with processes. Based on the model classification, the paper further evaluates the models by service structure, interoperability, multi-contextuality and adaptability. the evaluation results can be used to compare, select and improve the smart city models and service design. Based on the results, we propose a new model for designing smart services. © 2023, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Interoperability

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design and implementation of seismic and electric joint detection system 11

Design and implementation of seismic and electric joint dete...

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11th international conference on Environmental and Engineering Geophysics, ICEEG 2024

作者： Wei, H. Zheng, J. Cheng, J. Sun, Y. He, D. College of Geoscience and Surveying Engineering China University of Mining and Technology-Beijing Beijing China

Single geophysical method faces challenges in accurately depicting water-bearing anomalies due to complex factors in underground spaces. In response to this issue, our design innovatively proposes a combined approach, integrating seismic exploration with parallel electrical method. We have developed a complete joint acquisition instrument for seismic and parallel electrical method using a multi-channel acquisition board based on INTEL and FPGA. this instrument enables simultaneous data collection for both methods within the same timeframe. With high integration, it allows convenient deployment and can be controlled through visualization software on the upper computer. Laboratory tests confirm its ability to meet the basic design requirements. Once fully implemented, it is poised to offer innovative and effective technical support for the development of urban underground spaces, demonstrating broad application potential. © 2024 Institute of Physics Publishing. All rights reserved.

关键词： Seismic prospecting

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A Tool design for SQL injection vulnerability detection based on improved crawler 11th

A Tool Design for SQL injection vulnerability detection base...

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11th international conference on Applications and Techniques in Cyber Intelligence, ATCI 2023

作者： Ye, Jun Zhao, Wentao Wang, Dong School of Cyberspace Security Hainan University Haikou570228 China Key Laboratory of Internet Information Retrieval of Hainan Province Hainan University Haikou570228 China

In the era of Internet informatization, a series of network attacks on Web applications have surfaced both domestically and internationally, thereby increasing the focus on network security. this paper presents the design and implementation of an automated tool based on improved web crawler technology, integrated with anti-crawler mechanisms and SQL injection vulnerability detection techniques, to tackle the challenges posed to network security. By comprehensively crawling website URLs and employing SQL injection vulnerability detection methods, the tool promptly identifies and facilitates the remediation of website vulnerabilities, thus preventing SQL injection attacks and protecting information security. the tool also employs a proxy IP rotation mechanism to enhance anti-crawling capabilities and improve crawling efficiency. Experimental results demonstrate the effectiveness of the tool in accurately crawling information and detecting SQL injection vulnerabilities, thereby ensuring the security of website information. © 2024 the Authors. Published by Elsevier B.V.

关键词： Web crawler

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