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检索条件"任意字段=10th International Conference on Computer-Aided Design and Computer Graphics"

共 10291 条记录，以下是4621-4630 订阅

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Structured Context Prediction: A Generic Approach 10

Structured Context Prediction: A Generic Approach

引用

10th IFIP international conference on Distributed Applications and Interoperable Systems

作者： Meiners, Matthias Zaplata, Sonja Lamersdorf, Winfried Univ Hamburg Dept Comp Sci Hamburg Germany

ISBN: (纸本)9783642136443

Context-aware applications and middleware platforms are evolving into major driving factors for pervasive systems. the ability to also make accurate assumptions about future contexts further enables such systems to proactively adapt to upcoming situations. However, the provision of a reusable system component to facilitate the development of such future-context-aware applications is still challenging - as it requires to be generic but, at the same time, as efficient and accurate as possible. To address these requirements, this paper presents the approach of Structured Context Prediction which constitutes a framework to facilitate the application of existing prediction methods. It allows application developers to integrate domain-specific knowledge by creating a customized prediction model at design time and to select, implement and combine prediction methods for the intended purpose. Feasibility is evaluated by applying a prototype system component to two mobile application scenarios, showing that both high accuracy and efficiency are possible.

关键词： computer software reusability

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NEAR-OPTIMAL OFFLINE REINFORCEMENT LEARNING WIth LINEAR REPRESENTATION: LEVERAGING VARIANCE INFORMATION WIth PESSIMISM 10

NEAR-OPTIMAL OFFLINE REINFORCEMENT LEARNING WITH LINEAR REPR...

引用

10th international conference on Learning Representations, ICLR 2022

作者： Yin, Ming Duan, Yaqi Wang, Mengdi Wang, Yu-Xiang Department of Computer Science University of California Santa Barbara United States Department of Electrical and Computer Engineering Princeton University United States

Offline reinforcement learning, which seeks to utilize offline/historical data to optimize sequential decision-making strategies, has gained surging prominence in recent studies. Due to the advantage that appropriate function approximators can help mitigate the sample complexity burden in modern reinforcement learning problems, existing endeavors usually enforce powerful function representation models (e.g. neural networks) to learn the optimal policies. However, a precise understanding of the statistical limits with function representations, remains elusive, even when such a representation is linear. Towards this goal, we study the statistical limits of offline reinforcement learning with linear model representations. To derive the tight offline learning bound, we design the variance-aware pessimistic value iteration (VAPVI), which adopts the conditional variance information of the value function for time-inhomogeneous episodic linear Markov decision processes (MDPs). VAPVI leverages estimated variances of the value functions to reweight the Bellman residuals in the least-square pessimistic value iteration and provides improved offline learning bounds over the best-known existing results (whereas the Bellman residuals are equally weighted by design). More importantly, our learning bounds are expressed in terms of system quantities, which provide natural instance-dependent characterizations that previous results are short of. We hope our results draw a clearer picture of what offline learning should look like when linear representations are provided. © 2022 ICLR 2022 - 10th international conference on Learning Representationss. All rights reserved.

关键词： Reinforcement learning

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Dynamical Trajectory Planning for Unmanned Aerial Vehicle in Hollowed Obstacles 10

Dynamical Trajectory Planning for Unmanned Aerial Vehicle in...

引用

10th IEEE Joint international Information Technology and Artificial Intelligence conference, ITAIC 2022

作者： Guo, Wei Qi, Jianguang Li, Baoying Pan, Zhenxiang Wang, Yuru School of Information Science and Engineering Dalian Polytechnic University Dalian China School of Design Jiangnan University China

ISBN: (数字)9781665422079

ISBN: (纸本)9781665422079

the Unmanned Aerial Vehicle (UAV) has tremen-dous obstacle avoidance and crossing in a confined and complex environment. However, in the traditional path planning algorithm, the UAV can easily fall into the local extremum problem and lack planning ability. therefore, we propose an RRT-BBO algorithm, which combines the Rapidly-exploring Random Tree (RRT) and Biogeography-Based Optimization (BBO). First, an initial point and the end point are set, and its objective to implement the RRT algorithm between these two points to find a feasible path. then, the BBO algorithm is applied to optimize the obtained trajectory, and finally, the UAV can quickly cross the hollowed obstacles. computer simulations are conducted to demonstrate the performance of the proposed method. © 2022 IEEE.

关键词： Motion planning

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FREE VIBRATION CONTROL OF MRE EMBEDDED VISCOELASTIC CORED SANDWICH BEAM WIth TIME VARYING MAGNETIC FIELD

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10th ASME Biennial conference on Engineering Systems design and Analysis

作者： Nayak, Biswajit Dwivedy, Santosha K. Murthy, K. S. R. Krishna Indian Inst Technol Dept Mech Engn Gauhati 781039 Assam India

ISBN: (纸本)9780791849194

the present work deals with the free vibration control of a simply supported and cantilevered sandwich beam with magnetorheological elastomer (MRE) embedded viscoelastic core and conductive skins subjected to time varying magnetic field. the skins of the sandwich beam are conductive such that magnetic loads are applied to the skins. Considering the core to be stiff in transverse direction, classical sandwich beam theory has been used along with extended Hamilton's principle and Galarkin's method to derive the governing equation of motion. the resulting equation reduces to that of a parametrically excited system. Method of multiple scales has been used to study the response and stability of the system. Critical parameters of amplitude and frequency of magnetic field have been determined to actively control the free vibration response of the system. Effects of percentage of iron particles and carbon black in attenuation of vibration of the sandwich beam have been studied. Here the experimentally obtained properties of recently developed magnetorheological elastomers based on natural rubber containing iron particles and carbon blacks have been considered in the numerical simulation.

关键词： Magnetic fields Particulate matter Iron Hamilton's principle Stress Vibration Carbon black pigments computer simulation Equations of motion Elastomers Euler-Bernoulli beam theory Free vibrations Stability Natural rubber

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Efficient Diagnosis of Intracranial Tumor on MRI Scans 10

Efficient Diagnosis of Intracranial Tumor on MRI Scans

引用

10th international conference on Communication and Signal Processing, ICCSP 2024

作者： Amshavalli, R.S. Ramkumar, P. Reshath, M. Sheena, B. Gracelin Kumar, V. Nithish Sathyabama Institute of Science and Technology Department of Computer Science and Engineering Chennai India

ISBN: (纸本)9798350353068

the accurate and timely diagnosis of intracranial tumors is crucial for effective treatment and management. In recent years, magnetic resonance imaging (MRI) has emerged as a valuable tool for detecting and diagnosing intracranial tumors. the objective of this paper is to review the current state of research on the diagnosis of intracranial tumors using MRI scans and to provide an overview of the various techniques and methodologies employed. MRI has proven to be highly sensitive and specific in the detection of intracranial tumors. It provides detailed images of the brain, allowing for the identification of tumor location, size, and characteristics. Various MRI sequences, such as T1-weighted, T2-weighted, diffusion-weighted, and contrast-enhanced imaging, can be utilized to enhance the visualization and detection of tumor tissues. Moreover, advanced MRI techniques, including magnetic resonance spectroscopy (MRS) and functional MRI (fMRI), have shown promise in evaluating tumor metabolism and functional status. Several studies have focused on developing computer-aided diagnosis (CAD) systems to assist radiologists in interpreting MRI scans and improving diagnostic accuracy. these CAD systems utilize machine learning algorithms and image processing techniques to analyze MRI data and help distinguish between normal brain tissue and tumor abnormalities. Furthermore, the integration of MRI with other imaging modalities, such as positron emission tomography (PET) and single-photon emission computed tomography (SPECT), has been explored to enhance tumor detection and characterization. In conclusion, MRI plays a crucial role in the diagnosis and detection of intracranial tumors. the development and utilization of advanced imaging techniques, as well as the integration of MRI with other modalities, hold great promise in improving early detection, accurate diagnosis, and effective treatment planning for patients with intracranial tumors. © 2024 IEEE.

关键词： Magnetic resonance imaging

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A Residential Building Reconstruction Method and Its Evaluation

A Residential Building Reconstruction Method and Its Evaluat...

引用

IEEE international conference on computer-aided design and computer graphics

作者： Ye Yu Xiaoping Liu Bill P. Buckles School of Computer and Information Hefei University of Technology Hefei China Department of Computer Science and Engineering University of North Texas (UNT) Denton TX USA

A novel method for three-dimensional (3D) residential building reconstruction in urban areas using LiDAR (light detection and ranging) data is proposed. the main contribution of this work is the automatic segmentation of roof points and roof type recognition and reconstruction based on sparse LiDAR data. Using minimum bounding rectangle (MBR) method and model-based reconstruction, we are able to automatically identify individual buildings from cluttered residential areas and re-create building models with improved accuracy in a reasonably short time. We applied our method to urban sites in the city of New Orleans and demonstrated that the method identified building measurements successfully from LiDAR data and rebuilt 3D models effectively. Our experiments show that even in the presence of noise we can successfully reconstruct small buildings given relatively sparse LiDAR samples with help from template databases.

关键词： Buildings Laser radar Image reconstruction Solid modeling Reconstruction algorithms Accuracy Computational modeling

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Securing data in Decentralized Cloud Storage for Authorized Encrypted Search with Privacy-Preserving on Healthcare Databases 10

Securing data in Decentralized Cloud Storage for Authorized ...

引用

10th IEEE international conference on Communication Systems and Network Technologies, CSNT 2021

作者： Pokharkar, Satish T. Vishwamitra, L.K. Department of Computer Science & Engineering Oriental University Indore India

ISBN: (纸本)9780738105239

Nowadays, in the medical field number of applications will do develop for overcoming the complexity of previous work. By using information technology and computer science to provide various new techniques and medical equipment has improved digitalization in the healthcare sector. In the existing system, much more advancement is providing to overcome the time and money of patients and perform exact treatments and store patient’s confidential records securely but the most important issues are security. To address the existing security issues to design and develop the proposed research work on security, i.e. for patient’s confidential health data records in database servers. Existing work during data transmission can only protect the patient’s data records, but they can’t stop the insider attacks. In the proposed research work, first implement front-end security with the help of keylogging technique, second to store patient’s confidential data in multiple data servers or chunks and to prevent the insider attacks and third and most important is access policy of search for encrypted data of multi-authority. the addition of this analysis work is to specify patient data reports in several chunks securely and applying the cryptosystems for the security goals of a patient’s confidential records. Especially, proposed work advantages of SHA hashing technique to perform every user for access of particular data records. this research work explores secure data storage and sharing using the proposed AES 256 encryption algorithm and Role Base Access Control (RBAC) for secure data access schemes for the end-user. this work also carried out a backup server approach it works like a proxy storage server for ad hoc network data recovery for all distributed data servers. © 2021 IEEE.

关键词： Cloud storage

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Simplified Support Vector Machine Method for QRS Wave Detection

Simplified Support Vector Machine Method for QRS Wave Detect...

引用

2009 IEEE 10th international conference on computer-aided Industrial design & Conceptual design(2009 IEEE 第十届国际计算机辅助工业设计与概念设计学术会议 CAID&CD'2009)

作者： Zhi-qiang Zeng Qun Wu Ke-Shou Wu Department of Computer Science and Engineering Xiamen University of Technology Xiamen Fujian Provin College of Computer Science and Engineering Zhejiang University Hangzhou. Zheiiang Province 310027. Department of Computer Science and Engineering Xiamen University of Technology Xiamen Fujian Provin

ISBN: (纸本)9781424452668

Driver fatigue is a major risk for road accidents that can often result in injury and death. In this paper, the chaotic degree of ECG under different driving fatigue states was measured the chaotic degree of the system was reflected by sample entropy in this paper. the relationship between different driving fatigue states and the corresponding sample entropy of ECG was analysed the findings emphasize that the value of sample entropy was strongly correlative with the mental fatigue state, and the values of sample entropy decreased with driving times prolonged the method proposed in this paper is expected to provide a new tool for the, efforts of evaluating driving fatigue objectively.

关键词： Driving Fatigue ECG Sample entropy

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CAD Parts-Based Assembly Modeling by Probabilistic Reasoning

CAD Parts-Based Assembly Modeling by Probabilistic Reasoning

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IEEE international conference on computer-aided design and computer graphics

作者： Kai-Ke Zhang Kai-Mo Hu Li-Cheng Yin Dong-Ming Yan Bin Wang School of Software Tsinghua University Beijing P. R. China Tsinghua National Laboratory for Information Science and Technology Beijing P. R. China National Laboratory of Pattern Recognition Chinese Academy of Sciences Beijing P. R. China Visual Computing Center King Abdullah University of Science and Technology Thuwal Saudi Arabia

Nowadays, increasing amount of parts and sub-assemblies are publicly available, which can be used directly for product development instead of creating from scratch. In this paper, we propose an interactive design framework for efficient and smart assembly modeling, in order to improve the design efficiency. Our approach is based on a probabilistic reasoning. Given a collection of industrial assemblies, we learn a probabilistic graphical model from the relationships between the parts of assemblies. then in the modeling stage, this probabilistic model is used to suggest the most likely used parts compatible with the current assembly. Finally, the parts are assembled under certain geometric constraints. We demonstrate the effectiveness of our framework through a variety of assembly models produced by our prototype system.

关键词： Solid modeling Shape Bayes methods Probabilistic logic design automation Computational modeling Databases

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computer-assisted language learning (CALL) for dyslexic students

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10th international conference on computers Helping People with Special Needs

作者： Greene, Cara Nicole Dublin City Univ Natl Ctr Language Technol Sch Comp Dublin 9 Ireland

ISBN: (纸本)3540360204

this paper outlines the analysis, design, development, deployment and evaluation stages of computer-Assisted Language Learning (CALL) software aimed at dyslexic learners. CALL is traditionally aimed at second language acquisition. the research presented here is different because the target group are students with first language difficulties. Dyslexia is a specific learning disorder, which affects roughly eight percent of the population in Ireland [5]. this research identifies the lack of support for dyslexic teenagers in Irish secondary schools and establishes their particular needs. the paper describes CALL courseware development in progress, which aims to aid the reading, organisation and exam skills of dyslexic students through the use of online authentic Junior Certificate history curriculum texts. the final evaluation phase of the project will assess the efficacy of the software and investigate the question of whether dedicated software can improve the reading skills of teenage dyslexic students at word, sentence and text level.

关键词： Learning systems

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