检索结果-内蒙古大学图书馆

2020 International Seminar on Intelligent Technology and Its Application, ISITIA 2020

作者： Dewantara, Bima Sena Bayu Dhuha, Samsud Marta, Bayu Sandi Pramadihanto, Dadet Politeknik Elektronika Negeri Surabaya Dept. of Informatics and Computer Engineering Surabaya Indonesia

ISBN: (纸本)9781728174136

In general, a socially-aware mobile robot must have an ability to safely navigate among human environment. To address with this competency, the mobile robots must be able to detect the existence of humans around. This paper proposes the use of Fast Fourier Transform (FFT) to analyze shape-models of human legs that is obtained from Laser Range Finder (LRF) scanning results. A 240° of LRF was used to capture and visualize the environment in one dimensional plane. The plane is then converted into one dimensional signal that consists of 1,024 data points. These data points represented the distance of all measured points. A specific set of points formed the pattern of human legs only is then resized into 32 data. This resized-data is transformed into frequency by using FFT. The result of FFT is then fed into Support Vector Machine (SVM) to be classified into two classes, they are human or not human. Based on the experimental results, our proposed method shows a promising result in order to detect human based on one dimensional feature of his legs by achieving more than 80% of accuracy. © 2020 IEEE.

关键词： Support vector machines

来源：评论

学校读者我要写书评

暂无评论

Stimulant Drugs and Stimulant Use Disorder

引用

Anesthesiology Clinics 2024年第1期42卷 103-115页

作者： Song, Wenyu Simona, Aurélien Zhang, Ping Bates, David W. Urman, Richard D. Department of Medicine Brigham and Women's Hospital Harvard Medical School 1620 Tremont Street Boston 02120 MA United States Division of Clinical Pharmacology and Toxicology Geneva University Hospitals Geneva Switzerland Department of Biomedical Informatics The Ohio State University Columbus 43210 OH United States Department of Computer Science and Engineering The Ohio State University Columbus 43210 OH United States Department of Anaesthesiology College of Medicine The Ohio State University Columbus 43210 OH United States

The authors aim to summarize several key points of stimulant drugs and stimulant use disorder, including their indications, short-term and long-term adverse effects, current treatment strategies, and association with opioid medications. The global prevalence of stimulant use has seen annual increase in the last decade. Multiple studies have shown that stimulant use and stimulant use disorder are associated with a range of individual and public health issues. Stimulant misuse has led to a significant increase of overdose deaths in the United States.

关键词： Attention-deficit hyperactivity disorder Opioid use disorder Overdose Stimulant use disorder Stimulants

来源：评论

学校读者我要写书评

暂无评论

Design of an ice detector for electric tramways 15

Design of an ice detector for electric tramways

引用

15th IEEE International Workshop of Electronics, Control, Measurement, Signals and their application to Mechatronics, ECMSM 2021

作者： Bilek, Petr Horak, Marcel Jandura, Pavel Mach, Ondrej Richter, Ales Institute of Mechatronics and Computer Engineering Technical University of Liberec Faculty of MechatronicsInformatics and Interdisciplinary Studies Liberec Czech Republic Technical University of Liberec Faculty of Engineering Department of Glass Producing Machines and Robotics Liberec Czech Republic

ISBN: (纸本)9781538617571

The article describes design and development of an ice detection device that uses a real 1 m part of an electric copper trolley wire for its operation. The wire part is oriented in the same direction as the trolley wire in the given place and thus a high compliance of the ice sensor with real conditions (spatial dimensions, orientation and heat capacity) is achieved. An ice meter equipped with this sensor can determine the robustness and duration of ice phenomena on trolley wires much more accurately and uses this information to deduce the risk of endangering public transport. The ice detector works on the principle of strain gauge load cell weighing. For its own diagnostics, the device can also measure temperature and relative humidity and is equipped with heating wires so that the movable parts of the device do not freeze. © 2021 IEEE.

关键词： Wire

来源：评论

学校读者我要写书评

暂无评论

Implicit Neural Representation in Medical Imaging: A Comparative Survey

Implicit Neural Representation in Medical Imaging: A Compara...

引用

International Conference on computer Vision Workshops (ICCV Workshops)

作者： Amirali Molaei Amirhossein Aminimehr Armin Tavakoli Amirhossein Kazerouni Bobby Azad Reza Azad Dorit Merhof School of Computer Engineering Iran University of Science and Technology Iran School of Electrical Engineering Iran University of Science and Technology Iran Department of Electrical Engineering and Computer Science South Dakota State University USA Faculty of Electrical Engineering and Information Technology RWTH Aachen University Germany Faculty of Informatics and Data Science University of Regensburg Germany Fraunhofer Institute for Digital Medicine MEVIS Bremen Germany

Implicit neural representations (INRs) have gained prominence as a powerful paradigm in scene reconstruction and computer graphics, demonstrating remarkable results. By utilizing neural networks to parameterize data through implicit continuous functions, INRs offer several benefits. Recognizing the potential of INRs beyond these domains, this survey aims to provide a comprehensive overview of INR models in the field of medical imaging. In medical settings, numerous challenging and ill-posed problems exist, making INRs an attractive solution. The survey explores the application of INRs in various medical imaging tasks, such as image reconstruction, segmentation, registration, novel view synthesis, and compression. It discusses the advantages and limitations of INRs, highlighting their resolution-agnostic nature, memory efficiency, ability to avoid locality biases, and differentiability, enabling adaptation to different tasks. Furthermore, the survey addresses the challenges and considerations specific to medical imaging data, such as data availability, computational complexity, and dynamic clinical scene analysis. It also identifies future research directions and opportunities, including integration with multi-modal imaging, real-time and interactive systems, and domain adaptation for clinical decision support. To facilitate further exploration and implementation of INRs in medical image analysis, we have provided a compilation of cited studies along with their available open-source implementations on ${\color{Magenta}GitHub}$. Finally, we aim to consistently incorporate the most recent and relevant papers regularly.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Attention-Enhanced Co-Interactive Fusion Network (AECIF-Net) for Automated Structural Condition Assessment in Visual Inspection

arXiv

引用

arXiv 2023年

作者： Zhang, Chenyu Yin, Zhaozheng Qin, Ruwen Department of Civil Engineering Stony Brook University 2427 Computer Science Stony BrookNY11794 United States Department of Computer Science Department of Biomedical Informatics AI Institute Stony Brook University 2313B Computer Science Building Stony BrookNY11794 United States

Efficiently monitoring the condition of civil infrastructure requires automating the structural condition assessment in visual inspection. This paper proposes an Attention-Enhanced Co-Interactive Fusion Network (AECIF-Net) for automatic structural condition assessment in visual bridge inspection. AECIF-Net can simultaneously parse structural elements and segment surface defects on the elements in inspection images. It integrates two task-specific relearning subnets to extract task-specific features from an overall feature embedding. A co-interactive feature fusion module further captures the spatial correlation and facilitates information sharing between tasks. Experimental results demonstrate that the proposed AECIF-Net outperforms the current state-of-the-art approaches, achieving promising performance with 92.11% mIoU for element segmentation and 87.16% mIoU for corrosion segmentation on the test set of the new benchmark dataset Steel Bridge Condition Inspection Visual (SBCIV). An ablation study verifies the merits of the designs for AECIF-Net, and a case study demonstrates its capability to automate structural condition assessment. Copyright © 2023, The Authors. All rights reserved.

关键词： Inspection

来源：评论

学校读者我要写书评

暂无评论

Virtual Reality as Learning Media for Lampung Historical Heritage 1

Virtual Reality as Learning Media for Lampung Historical Her...

引用

1st International Conference on Converging Technology in Electrical and Information engineering, ICCTEIE 2021

作者： Sulistiono, Wahyu Eko Muhammad, Meizano Ardhi Andrian, Rico Martinus Nama, Gigih Forda Ghuffrony Rezaldhy, S. Annisa, Resty Mulyani, Yessi Djausal, Anisa Nuraisa University of Lampung Informatics Engineering Bandar Lampung Indonesia University of Lampung Computer Science Bandar Lampung Indonesia University of Lampung Mechanical Engineering Bandar Lampung Indonesia University of Lampung Medical Science Bandar Lampung Indonesia

ISBN: (纸本)9781665400817

Lampung Province has a lot of historical heritage which is a world heritage for future human generations. The Lampung Museum, which was founded in 1975, plays a role in ensuring the continuity of history in the people of Lampung. Dissemination of Lampung history can be improved through education 4.0. Virtual Reality is a technology that allows a user to interact with the environment that exists in the virtual world and can provide information. Virtual Reality can help disseminate the history of Lampung with interactive and humanistic interaction models for historical objects that are presented without being bound by space and time. In addition, the ongoing COVID-19 pandemic has had a major impact on the performance of the Lampung museum in disseminating the history of Lampung. The method used to develop Virtual Reality of Lampung Historical Heritage consists of seven stages, namely Problem Formulation, Determination of Motivation, Idea Development, Design, Prototype Making, Testing, Advanced Development, and Implementation/Release. Eight historical objects were modeled and enriched with information regarding their relationship to Lampung history, namely the Lampung Museum, Thay Hin Bio Vihara, Al-Anwar Mosque, Lampung Siger Tower, Krakatau Monument, Kerti Bhuana Temple, Nuwo Sesat Traditional House, and the Japanese Cave. It is hoped that with the availability of Virtual Reality of Lampung Historical Heritage, the dissemination of Lampung history can be carried out more progressively through education 4.0. © 2021 IEEE.

关键词： Virtual reality

来源：评论

学校读者我要写书评

暂无评论

An Advanced Data Fabric Architecture Leveraging Homomorphic Encryption and Federated Learning

arXiv

引用

arXiv 2024年

作者： Rieyan, Sakib Anwar News, Raisul Kabir Muntasir Rahman, A.B.M. Khan, Sadia Afrin Jawad Zaarif, Sultan Tasneem Alam, Golam Rabiul Hassan, Mohammad Mehedi Ianni, Michele Fortino, Giancarlo Department of Computer Science and Engineering School of Data and Sciences BRAC University 66 Mohakhali Dhaka1212 Bangladesh Department of Information Systems College of Computer and Information Sciences King Saud University Riyadh11543 Saudi Arabia Department of Informatics Modeling Electronics and Systems University of Calabria CS Rende87036 Italy

Data fabric is an automated and AI-driven data fusion approach to accomplish data management unification without moving data to a centralized location for solving complex data problems. In a Federated learning architecture, the global model is trained based on the learned parameters of several local models that eliminate the necessity of moving data to a centralized repository for machine learning. This paper introduces a secure approach for medical image analysis using federated learning and partially homomorphic encryption within a distributed data fabric architecture. With this method, multiple parties can collaborate in training a machine-learning model without exchanging raw data but using the learned or fused features. The approach complies with laws and regulations such as HIPAA and GDPR, ensuring the privacy and security of the data. The study demonstrates the method’s effectiveness through a case study on pituitary tumor classification, achieving a significant level of accuracy. However, the primary focus of the study is on the development and evaluation of federated learning and partially homomorphic encryption as tools for secure medical image analysis. The results highlight the potential of these techniques to be applied to other privacy-sensitive domains and contribute to the growing body of research on secure and privacy-preserving machine learning. © 2024, CC BY.

关键词： Medical imaging

来源：评论

学校读者我要写书评

暂无评论

Computation Pre-Offloading for MEC-Enabled Vehicular Networks via Trajectory Prediction

arXiv

引用

arXiv 2024年

作者： Zhang, Ting Yang, Bo Yu, Zhiwen Cao, Xuelin Alexandropoulos, George C. Zhang, Yan Yuen, Chau School of Software Northwestern Polytechnical University Shaanxi Xi’an710129 China School of Computer Science Northwestern Polytechnical University Shaanxi Xi’an710129 China School of Cyber Engineering Xidian University Shaanxi Xi’an710071 China Department of Informatics and Telecommunications National and Kapodistrian University of Athens Athens15784 Greece Department of Informatics University of Oslo Oslo0316 Norway School of Electrical and Electronics Engineering Nanyang Technological University Singapore

Task offloading is of paramount importance to efficiently orchestrate vehicular wireless networks, necessitating the availability of information regarding the current network status and computational resources. However, due to the mobility of the vehicles and the limited computational resources for performing task offloading in near-real-time, such schemes may require high latency, thus, become even infeasible. To address this issue, in this paper, we present a Trajectory Prediction-based Preoffloading Decision (TPPD) algorithm for analyzing the historical trajectories of vehicles to predict their future coordinates, thereby allowing for computational resource allocation in advance. We first utilize the Long Short-Term Memory (LSTM) network model to predict each vehicle's movement trajectory. Then, based on the task requirements and the predicted trajectories, we devise a dynamic resource allocation algorithm using a Double Deep Q-Network (DDQN) that enables the edge server to minimize task processing delay, while ensuring effective utilization of the available computational resources. Our simulation results verify the effectiveness of the proposed approach, showcasing that, as compared with traditional real-time task offloading strategies, the proposed TPPD algorithm significantly reduces task processing delay while improving resource utilization. Copyright © 2024, The Authors. All rights reserved.

关键词： Vehicular ad hoc networks

来源：评论

学校读者我要写书评

暂无评论

A Comparison Study on Generative Adversarial Networks (GANs) for Satellite Image Upscaling

A Comparison Study on Generative Adversarial Networks (GANs)...

引用

IEEE Conference on Systems, Process & Control (ICSPC)

作者： Brandon Kah Wei Li Muhammed Basheer Jasser Bayan Issa Samuel-Soma M. Ajibade Hui Na Chua Richard T.K. Wong Muzaffar Hamzah Department of Computing and Information Systems School of Engineering and Technology Sunway University No. 5 Jalan Universiti Bandar Sunway Selangor Darul Ehsan Malaysia Research Centre For Human-Machine Collaboration (HUMAC)School of Engineering and Technology Sunway University No. 5 Jalan Universiti Bandar Sunway Selangor Darul Ehsan Malaysia Faculty of Informatics Engineering University of Aleppo Syria Department of Computer Engineering Istanbul Ticaret University Istanbul Turkiye Faculty of Computing and Informatics Universiti Malaysia Sabah Kota Kinabalu Sabah Malaysia

ISBN: (数字)9798350391398

ISBN: (纸本)9798350391404

Satellite images that are publicly available on the internet such as Google Maps are mostly low-quality and blurry which is not very useful for research or decision-making due to the lack of details. Recently image upscaling has been increasing in popularity to address several real-world problems where one approach is using Convolutional Neural Networks (CNNs). However, CNNs have difficulty in restoring fine details and this has led to the use of Generative adversarial networks (GANs) for image scaling. In this paper, three GAN models are trained which are Enhanced Super-Resolution Generative Adversarial Networks (Real-ESRGAN), Image Restoration Using Swin Transformer (SwinIR-Medium), and Dual Aggregation Transformer (DAT-2). The models are evaluated with well-known image metrics to determine each model’s effectiveness in upscaling low-resolution satellite images. The results show that all models can reconstruct the image to some degree where the best out of the three is DAT-2. Further fine-tuning of the best model by changing the loss functions has shown improvements in structural integrity for the upscaled image.

关键词： Training Photography Measurement Web services Generative adversarial networks Transformers Satellite images Image restoration Particle swarm optimization Image reconstruction

来源：评论

学校读者我要写书评

暂无评论

Enabling light coupling between nanowires and low refractive index contrast optical waveguides towards scalable quantum circuits 28

Enabling light coupling between nanowires and low refractive...

引用

Integrated Optics: Devices, Materials, and Technologies XXVIII 2024

作者： Tsintzos, Symeon I. Tsimvrakidis, Konstantinos Sinani, Alexandra Gates, James C. Elshaari, Ali W. Smith, Peter G. R. Zwiller, Val Riziotis, Christos Theoretical and Physical Chemistry Institute National Hellenic Research Foundation Athens11635 Greece Department of Informatics and Computer Engineering University of West Attica Egaleo12243 Greece Optoelectronics Research Centre University of Southampton SouthamptonSO17 1BJ United Kingdom Stockholm106 91 Sweden Institute for Advanced Modelling and Simulation University of Nicosia Nicosia2417 Cyprus Qubitech Quantum Technologies Chalandri Athens15231 Greece

ISBN: (纸本)9781510670389

A primary constraint in the major photonic integration platform of Silica-on-Silicon, especially when combined with fabrication approaches like Direct Laser Writing is the optical waveguides' low refractive index contrast, leading thus to limitations for efficient coupling with currently available state-of-the-art single photon emitters such as semiconductor nanowires with quantum dots (NWQD). We propose and demonstrate a novel approach to drastically enhance the light coupling between silica based Laser-written channel waveguides and NWQDs, by incorporating an optical microsphere in their intermediate space. It is demonstrated that the induced photonic nanojet action of a suitably designed microsphere illuminated by the NWQD, excites efficiently the channel waveguide's modes and can enable light coupling to a degree even above 50%. The proposed method is reasonably robust to imperfections and misalignments and could be implemented by current state-of-the-art micro/nano patterning techniques. It is anticipated that the practical implementation of the method will allow the integration of multiple quantum emitters in silica based hybrid integrated circuits thus enabling their scalability towards for quantum computing and sensing applications. © 2024 SPIE.

关键词： Silica

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：