检索结果-内蒙古大学图书馆

Improving real-time physiological signs estimation using plethysmography wave and heterogeneous embedded system

Journal of Medical engineering and technology 2024年第8期48卷 296-314页

作者： El khadiri, Zakaria Latif, Rachid Saddik, Amine Jenkal, Wissam Laboratory of Systems Engineering and Information Technology LISTI National School of Applied Sciences Ibn Zohr University Agadir Agadir Morocco

Our work presents a real-time embedded implementation of a proposed approach for physiological signs monitoring, such as heart and breathing rates, using a Photoplethysmography signal (PPG) retrieved from digital RGB cameras. The proposed algorithm was implemented in an embedded architecture to assess both the processing time and algorithmic complexity. The proposed method is based on image processing techniques to extract the noisy PPG signal and signal processing, filtering, and decomposition algorithm to estimate the instantaneous vitals indicators. On the embedded implementation side, the common criteria that must be studied are the accuracy of the result estimation, processing time optimisation, and hardware-software adoption. The latter standard is met by the hardware-software co-design concept which will lead to adopting the algorithm’s layers with an embedded platform architecture. On our side, we will principally use the High-Level Synthesis (HLS) as a parallel programming language and the computing homogeneous/heterogeneous devices (CPU/GPU). Our proposed optimised algorithm’s implementation offers a gain of x5.05, x24.96, and x36.68 compared with the native version using MATLAB and the optimised version using C/C++, OpenMP, and OpenCL tool, respectively, in some functional blocks. © 2025 Informa UK Limited, trading as Taylor & Francis Group.

关键词： Photoplethysmography

来源：评论

学校读者我要写书评

暂无评论

Conception of the C19H2RM-2 prototype based on an embedded camera module for driver state monitoring 3

Conception of the C19H2RM-2 prototype based on an embedded c...

引用

3rd International Conference on Embedded systems and Artificial Intelligence, ESAI 2024

作者： Boussaki, Hoda El Latif, Rachid Saddik, Amine LISTI ENSA Laboratory of Systems Engineering and Information Technology Agadir Morocco Faculty of Applied Sciences Ait Melloul Morocco

ISBN: (纸本)9798331522056

This paper presents the C16H2RM-2 prototype, designed using AutoCAD and representing a cutting-edge solution for monitoring driver health metrics, including heart rate, breathing rate, and signs of fatigue. The protoptype was based on a first version C16H2RM that uses mainly the raspberry pi 4 board. The system integrates photoplethysmography (PPG) sensors, which are strategically positioned to accurately measure physiological parameters. The AutoCAD-designed enclosure, crafted from durable and transparent plexiglass, houses the Jetson Nano plateform, the fan, the LED and the uninterruptible power supply module (UPS). The prototype enhances both the accuracy of data collection and the ease of use, aiming to improve driver safety and reduce fatigue-related incidents on the road. © 2024 IEEE.

关键词： Uninterruptible power systems

来源：评论

学校读者我要写书评

暂无评论

Discovering Association Rules with Graph Patterns in Temporal Networks

引用

Tsinghua Science and technology 2023年第2期28卷 344-359页

作者： Chu Huang Qianzhen Zhang Deke Guo Xiang Zhao Xi Wang Science and Technology on Information Systems Engineering Laboratory College of Systems EngineeringNational University of Defense TechnologyChangsha 410073China

Discovering regularities between entities in temporal graphs is vital for many real-world applications(e.g.,social recommendation,emergency event detection,and cyberattack event detection).This paper proposes temporal graph association rules(TGARs)that extend traditional graph-pattern association rules in a static graph by incorporating the unique temporal information and *** introduce quality measures(e.g.,support,confidence,and diversification)to characterize meaningful TGARs that are useful and *** addition,the proposed support metric is an upper bound for alternative metrics,allowing us to guarantee a superset of *** extend conventional confidence measures in terms of maximal occurrences of *** diversification score strikes a balance between interestingness and *** the problem is NP-hard,we develop an effective discovery algorithm for TGARs that integrates TGARs generation and TGARs selection and shows that mining TGARs is feasible over a temporal *** propose pruning strategies to filter TGARs that have low support or cannot make top-k as early as ***,we design an auxiliary data structure to prune the TGARs that do not meet the constraints during the TGARs generation process to avoid conducting repeated subgraph matching for each extension in the search *** experimentally verify the effectiveness,efficiency,and scalability of our algorithms in discovering diversified top-k TGARs from temporal graphs in real-life applications.

关键词： temporal networks graph association rule subgraph pattern matching graph mining big graphs

来源：评论

学校读者我要写书评

暂无评论

Attack and Defense Game with Intuitionistic Fuzzy Payoffs in Infrastructure Networks

引用

Tsinghua Science and technology 2025年第1期30卷 384-401页

作者： Yibo Dong Jin Liu Jiaqi Ren Zhe Li Weili Li Science and Technology on Information Systems Engineering Laboratory National University of Defense TechnologyChangsha 410073China

Due to our increasing dependence on infrastructure networks,the attack and defense game in these networks has draw great concerns from security ***,when it comes to evaluating the payoffs in practical attack and defense games in infrastructure networks,the lack of consideration for the fuzziness and uncertainty of subjective human judgment brings forth significant challenges to the analysis of strategic interactions among decision *** paper employs intuitionistic fuzzy sets(IFSs)to depict such uncertain payoffs,and introduce a theoretical framework for analyzing the attack and defense game in infrastructure networks based on intuitionistic fuzzy *** take the changes in three complex network metrics as the universe of discourse,and intuitionistic fuzzy sets are employed based on this universe of discourse to reflect the satisfaction of decision *** employ an algorithm based on intuitionistic fuzzy theory to find the Nash equilibrium,and conduct experiments on both local and global *** show that:(1)the utilization of intuitionistic fuzzy sets to depict the payoffs of attack and defense games in infrastructure networks can reflect the unique characteristics of decision makers’subjective preferences.(2)the use of differently weighted proportions of the three complex network metrics has little impact on decision makers’choices of different strategies.

关键词： infrastructure networks attack and defense game intuitionistic fuzzy set Nash equilibrium

来源：评论

学校读者我要写书评

暂无评论

Drowsiness detection using Dlib: an overview 7

Drowsiness detection using Dlib: an overview

引用

7th IEEE International Congress on information Science and technology, CiSt 2023

作者： Boussaki, Hoda El Latif, Rachid Saddik, Amine Ibn Zohr University Laboratory of Systems Engineering and Information Technology Listi National School of Applied Sciences Agadir80000 Morocco

ISBN: (纸本)9781665461337

Drowsy driving represent a major factor for road accidents. Therefore, preventing these kind of accidents through drowsiness detection system is of great importance. Many systems exits to detect drowsiness signs that include yawning frequency, eye-blinking frequency, eye-gaze movement, head movement, and facial expressions. This paper provides an overview of driver drowsiness detection using Dlib that detects 68 facial landmarks. Dlib's shape detector is utilized to accurately map and determine the coordinates of the facial landmarks. We focused on the landmarks of the eye and the mouth in order to calculate two important parameters that are the eye aspect ratio (EAR) and the mouth aspect ratio (MAR). These parameters gauge the degree of eye closure and the extent of mouth opening. An alert is triggered if the value of these parameters exceeds or falls below a predetermined threshold. In this review, several uses of Dlib face detection algorithm will be explored and compared in order to determine the optimal way to calculate the two parameters. © 2023 IEEE.

关键词： Aspect ratio

来源：评论

学校读者我要写书评

暂无评论

A Review on Video-Based Heart Rate, Respiratory Rate and Blood Pressure Estimation 1

引用

1st international conference on Machine Intelligence and Computer Science Applications, ICMICSA 2022

作者： El Boussaki, Hoda Latif, Rachid Saddik, Amine Laboratory of Systems Engineering and Information Technology LISTI National School of Applied Sciences Ibn Zohr University Agadir80000 Morocco

ISBN: (数字)9783031293139

ISBN: (纸本)9783031288456

Contactless vital signs measurement has a lot of benefits and can be applied in different environments. The purpose is to achieve an estimation as precise as a regular monitor. First of all, blood pressure (BP), respiratory rate (RR) and heart rate (HR) are three of the most commonly measured clinical parameters and their values are major determinants of clinical decisions. The volume of blood that is ejected by the heart into the arteries is a key factor in calculating blood pressure. In addition to that, The elasticity of the arterial walls and the flow rate of blood through the arteries are also considered. An adult’s resting heart rate ranges from 60 to 100 BPM and his respiratory rate ranges from 12 to 25 breaths per minute. These parameters can be retrieved from facial video-based photoplethysmographic signals. Photoplethysmography (PPG) is an optical technique used to measure changes in blood volume. It is used in many contact-based applications such as smartwatches and fitness trackers. Remote photoplethysmography (rPPG) enables the detection of the pulse-induced subtle color variations on the human skin surface with a camera. The purpose of this review is to summarize the studies made on contactless heart rate, respiratory rate and blood pressure monitoring. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Blood pressure

来源：评论

学校读者我要写书评

暂无评论

I know I don't know:an evidential deep learning framework for traffic classification

引用

Frontiers of Computer Science 2024年第5期18卷 219-221页

作者： Shangsen LI Lailong LUO Yun ZHOU Deke GUO Xiang XU National Key Laboratory of Information Systems Engineering National University of Defense TechnologyChangsha 410000China

Traffic classification is a crucial task for network *** of the most difficult challenges is to accurately identify the traffic of unknown applications as well as discriminate the known *** current learning-based classifiers can achieve high classification accuracy for the known traffic[1,2],but are infeasible toclassifyeither the unknown/unseen/unlabeled application or zero-day application traffic[3],which is known as identification of unknown applications(IUA).Although the clustering-based methods can identify the unknown traffic,they need lots of human intervention to thefeaturechoice,hyperparameter configuration and known/unknown traffic division[4].

关键词： network traffic classify

来源：评论

学校读者我要写书评

暂无评论

Beyond Performance of Learning Control Subject to Uncertainties and Noise: A Frequency-Domain Approach Applied to Wafer Stages

引用

IEEE/CAA Journal of Automatica Sinica 2025年第1期12卷 198-214页

作者： Fazhi Song Ning Cui Shuaiqi Chen Kai Zhang Yang Liu Xinkai Chen Jiubin Tan IEEE the Center of Ultra-precision Optoelectronic Instrument Engineering Harbin Institute of Technology the Key Laboratory of Ultra-Precision Intelligent Instrumentation Ministry of Industry and Information Technology the State Key Laboratory of Precision Electronic Manufacturing Technology and Equipment Guangdong University of Technology the Center of Ultraprecision Optoelectronic Instrument Engineering Harbin Institute of Technology the Key Laboratory of UltraPrecision Intelligent Instrumentation Ministry of Industry and Information Technology the Department of Electronic and Information Systems Shibaura Institute of Technology

The increasingly stringent performance requirement in integrated circuit manufacturing, characterized by smaller feature sizes and higher productivity, necessitates the wafer stage executing a extreme motion with the accuracy in terms of nanometers. This demanding requirement witnesses a widespread application of iterative learning control(ILC), given the repetitive nature of wafer scanning. ILC enables substantial performance improvement by using past measurement data in combination with the system model knowledge. However, challenges arise in cases where the data is contaminated by the stochastic noise, or when the system model exhibits significant uncertainties, constraining the achievable performance. In response to this issue, an extended state observer(ESO) based adaptive ILC approach is proposed in the frequency *** being model-based, it utilizes only a rough system model and then compensates for the resulting model uncertainties using an ESO, thereby achieving high robustness against uncertainties with minimal modeling effort. Additionally, an adaptive learning law is developed to mitigate the limited performance in the presence of stochastic noise, yielding high convergence accuracy yet without compromising convergence speed. Simulation and experimental comparisons with existing model-based and data-driven inversion-based ILC validate the effectiveness as well as the superiority of the proposed method.

关键词： Extended state observer learning control model uncertainties motion control stochastic noise

来源：评论

学校读者我要写书评

暂无评论

Remote Heart Rate Measurement Using Plethysmographic Wave Analysis 1

引用

1st international conference on Machine Intelligence and Computer Science Applications, ICMICSA 2022

作者： El khadiri, Zakaria Latif, Rachid Saddik, Amine Laboratory of Systems Engineering and Information Technology LiSTi National School of Applied Sciences Ibn Zohr University Agadir Agadir Morocco

ISBN: (数字)9783031293139

ISBN: (纸本)9783031288456

Estimating Heart Rate (HR) value is one of the great important things to determine a person’s physiological data and monitor the physiological signs. Nowadays, many kinds of research have demonstrated that the most physiological data "e.g., heart rate and respiration rate" can be accurately measured remotely and collected from photoplethysmographic (PPG) signals via digital cameras or webcams. The PPG signal will be subjected to several signals processing algorithms such as EMD, PCA/ICA, FFT, and others, in order to evaluate and extract the appropriate signs that help to extract the vital parameters. Furthermore, many related works have been made to improve the detection of this non-contact technique with the same result measured using contact sensors. In this paper, we present a general approach with familiar processing signal algorithms and their uses to extract heart rate values. Indeed, the current paper is mainly based on three commons signal processing algorithms widely used in the related field, which are the Empirical Mode Decomposition for a signal decomposition, Principal Component Analysis for the signal’s dimensionality reduction, moving average algorithm for signal denoising, and Fourier Transform for converting the PPG signal from the time domain into to frequency domain. Our proposed heart rate estimation systems show a good correlation relationship and closeness with a mean of error around of 1.59. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Frequency domain analysis

来源：评论

学校读者我要写书评

暂无评论

DSCCNet for high-quality 4K computer-generated holograms

引用

Optics Express 2025年第6期33卷 13733-13747页

作者： Xu, Zhenqi Leng, Junmin Dai, Ping Wang, Chao Key Laboratory of Information and Communication Systems Ministry of Information Industry Beijing Information Science and Technology University Beijing100101 China Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument Beijing Information Science and Technology University Beijing100101 China School of Information and Communications Engineering Beijing Information Science and Technology University Beijing100101 China

With the increasing demand for high-quality 3D holographic reconstruction, visual clarity and accuracy remain significant challenges in various imaging applications. Current methods struggle for higher image resolution and to resolve such issues as detail loss and checkerboard artifacts. To address these challenges, we propose the model Depthwise Separable Complex-valued Convolutional Network (DSCCNet) for phase-only computer-generated holography (CGH). This deep learning framework integrates complex-valued convolutions with depthwise separable convolutions to enhance reconstruction precision and improve model training efficiency. Additionally, the diffuser is employed to reduce checkerboard artifacts in defocused parts of 3D CGH. Experimental results demonstrate that DSCCNet can obtain 4K images reconstructed with more intricate details. The reconstruction quality of both 2D and 3D layered objects is enhanced. Validation on 100 images from the DIV2K dataset shows an average PSNR above 37 dB and an average SSIM above 0.95. The proposed model provides an effective solution for high-quality CGH applications. © 2025 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement.

关键词： Computer generated holography

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：