检索结果-内蒙古大学图书馆

Simplified and Efficient 2-D DWT Hardware Design for Visual sensor

IEEE sensors JOURNAL 2025年第6期25卷 9738-9746页

作者： Dai, Yuzhou Zhang, Wei Li, Qitao Wu, Zhuolun Liu, Yanyan Tianjin Univ Sch Microelect Tianjin 300072 Peoples R China Nankai Univ Coll Elect Informat & Opt Engn Tianjin 300071 Peoples R China

In this article, a simplified efficient 2-D discrete wavelet transform (DWT) architecture based on the lifting scheme is presented. By approximating the multipliers required for the multiplication operations in the Cohen-Daubechies-Feauveau (CDF) 9/7 filter, computational resources are significantly reduced. In addition, the strip-based scanning method requires minimal storage resources;for single-level 2-D DWT, there is no need for RAM resources that are dependent on image size. This characteristic makes the proposed architecture particularly well-suited for applications in wireless visual sensor networks (WVSNs). The proposed 2-D DWT and IDWT hardware implementations ensure a reconstructed quality exceeding 90.56-dB peak signal-to-noise ratio (PSNR) for various N x N images with low power consumption. Compared to existing 2-D DWT architectures, our design offers significant advantages, particularly when processing larger block sizes. The area-delay product (ADP) is reduced by at least 10.02%, the energy per image (EPI) decreases by 75.98%, and power consumption is lowered by 53.52%. Furthermore, the circuit performance in the multilevel architecture is outstanding, and the savings in required resources and energy make the proposed architecture highly suitable for applications in WVSNs.

关键词： Discrete wavelet transforms Adders Computer architecture sensors Hardware Wireless sensor networks Visualization Parallel processing Wireless communication Strips 2-D discrete wavelet transform (DWT) hardware design lifting architecture very-large-scale integration (VLSI) visual sensor

来源：评论

学校读者我要写书评

暂无评论

FGO-MFI: factor graph optimization-based multi-sensor fusion and integration for reliable localization

引用

MEASUREMENT SCIENCE AND TECHNOLOGY 2024年第8期35卷 086303-086303页

作者： Zhu, Jiaqi Zhuo, Guirong Xia, Xin Wen, Weisong Xiong, Lu Leng, Bo Liu, Wei Tongji Univ Sch Automot Studies Shanghai 201804 Peoples R China UCLA Dept Civil & Environm Engn Los Angeles CA 90095 USA Hong Kong Polytech Univ Dept Aeronaut & Aviat Engn Hong Kong Peoples R China

Reliable and precise information pertaining to the position, velocity, and attitude is essential for automated driving. This paper proposes FGO-MFI, a cost-effective and robust multi-sensor fusion and integration localization framework that utilizes factor graph optimization. Firstly, a tightly coupled Global Navigation Satellite Systems (GNSS)/on-board sensor fusion localization framework is established to estimate vehicle states, including position, velocity, and attitude. To address the large drift rate of the Inertial Measurement Unit (IMU), this study introduces a novel IMU/Dynamics pre-integration method based on the vehicle dynamics model. We establish a two-degree-of-freedom vehicle dynamics model utilizing measurements from the wheel speed sensor and steering wheel angle sensor. The IMU/Dynamics factor is devised through a close integration of the model output and IMU pre-integration, enabling the construction of precise odometry with low-cost on-board sensors. Then, to address the issue of the non-Gaussian distribution of GNSS pseudorange error, this paper employs a Gaussian Mixture Model (GMM) to characterize the pseudorange noise, which is then applied to further sensor fusion. Given the time-varying nature of pseudorange noise, the expectation maximization algorithm is utilized to estimate GMM parameters online, leveraging the pseudorange residuals within a sliding window. Comprehensive experiments, inclusive of challenging scenarios such as urban canyons, tunnels, and wooded areas, have been carried out. They affirm the superior performance of the proposed method. Experiments have shown that our method demonstrates reliable localization across different statuses of GNSS signal, exhibiting a 39.4% improvement in the root mean square error of position error when compared to the state-of-the-art. Additionally, this FGO-MFI is a general sensor data fusion framework and is able to incorporate diverse sensor measurements, for example, from cameras and LiDARs

关键词： vehicle localization multi-sensor fusion IMU/dynamics pre-integration Gaussian mixture mode factor graph

来源：评论

学校读者我要写书评

暂无评论

Fingertip sensor With Magnet-Prestressed Velostat Structure for Robotic Perception and Exploration

引用

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT 2025年 74卷

作者： Pan, Junjie Meng, Hailiang Li, Yujie Mao, Yaojie Cai, Shibo Bao, Guanjun Zhejiang Univ Technol Coll Mech Engn Hangzhou 310023 Peoples R China Minist Educ & Zhejiang Prov Key Lab Special Purpose Equipment & Adv Proc Techn Hangzhou 310023 Peoples R China Hangzhou Vocat & Tech Coll Special Equipment Inst Hangzhou 310018 Peoples R China

Velostat is a conductive material that can be used as sensing media for robotic tactile perception. However, the performance of the Velostat-based sensors is suppressed by its intrinsic nature of nonlinearity and hysteresis. Furthermore, single tactile perception is inadequate for the execution of tasks in complex robotic applications, where multimodal perception is highly expected to feedback rich interacting information. However, the integration of multiple senses into a unified system remains a challenge. To address these issues, this article proposed a magnet-prestressed structure to enhance the linearity and reduce the hysteresis of Velostat-based sensors. Based on this structure, a novel proximity and tactile sensor was designed for robotic fingertip, which can also discern the proximity of ferromagnetic objects. In scenarios where visual information is limited or unavailable, the sensor's multimodal sensing capability enables the perception and manipulation of ferromagnetic objects, demonstrating its potential in robotic applications, which was verified by the experiment of detecting, locating, and grasping ferromagnetic objects in sands.

关键词： Robot sensing systems sensors Magnetic hysteresis Robots Force Magnetic tunneling Piezoresistance Linearity Loading Training Fingertip sensor prestress proximity tactile Velostat

来源：评论

学校读者我要写书评

暂无评论

Additively Manufactured Flexible Liquid Metal-Coated Self-Powered Magnetoelectric sensors with High Design Freedom

引用

ADVANCED MATERIALS 2024年第34期36卷 e2307546页

作者： Wu, Hongzhi Luo, Ruiying Li, Zhuofan Tian, Yujia Yuan, Jiayi Su, Bin Zhou, Kun Yan, Chunze Shi, Yusheng Huazhong Univ Sci & Technol Sch Mat Sci & Engn State Key Lab Mat Proc & Die & Mold Technol Wuhan 430074 Hubei Peoples R China Nanyang Technol Univ Sch Mech & Aerosp Engn 50 Nanyang Ave Singapore 639798 Singapore Huazhong Univ Sci & Technol Sch Elect & Elect Engn State Key Lab Adv Electromagnet Engn & Technol Wuhan 430074 Hubei Peoples R China

Although additive manufacturing enables controllable structural design and customized performance for magnetoelectric sensors, their design and fabrication still require careful matching of the size and modulus between the magnetic and conductive components. Achieving magnetoelectric integration remains challenging, and the rigid coils limit the flexibility of the sensors. To overcome these obstacles, this study proposes a composite process combining selective laser sintering (SLS) and 3D transfer printing for fabricating flexible liquid metal-coated magnetoelectric sensors. The liquid metal forms a conformal conductive network on the SLS-printed magnetic lattice structure. Deformation of the structure alters the magnetic flux passing through it, thereby generating voltage. A reverse model segmentation and summation method is established to calculate the theoretical magnetic flux. The impact of the volume fraction, unit size, and height of the sensors on the voltage is studied, and optimization of these factors yields a maximum voltage of 45.6 mu V. The sensor has excellent sensing performance with a sensitivity of 10.9 kPa-1 and a minimum detection pressure of 0.1 kPa. The voltage can be generated through various external forces. This work presents a significant advancement in fabricating liquid metal-based magnetoelectric sensors by improving their structural flexibility, magnetoelectric integration, and design freedom. Flexible magnetoelectric sensors with high design freedom are fabricated through selective laser sintering and the subsequent liquid metal 3D transfer printing process. Liquid metal forms a conductive network to serve as the conductive part of the magnetoelectric sensor that has the capability of mechanical-to-electrical conversion. The induced voltage can be generated through compression, stretching, bending, and ***

关键词： high design freedom liquid metal magnetoelectric sensor mechanical-to-electrical conversion selective laser sintering

来源：评论

学校读者我要写书评

暂无评论

Worker perspectives on improving occupational health and safety using wearable sensors: a cross-sectional survey

引用

ANNALS OF WORK EXPOSURES AND HEALTH 2024年第8期68卷 867-873页

作者： Mueller, William Smith, Alice Kuijpers, Eelco Pronk, Anjoeka Loh, Miranda Inst Occupat Med IOM Res Ave North Edinburgh EH14 4AP Scotland Netherlands Org Appl Sci Res TNO Hlth Living & Work RAPID NL-3584 CB Utrecht Netherlands

Workplace exposure is an important source of ill health. The use of wearable sensors and sensing technologies may help improve and maintain worker health, safety, and wellbeing. Input from workers should inform the integration of these sensors into workplaces. We developed an online survey to understand the acceptability of wearable sensor technologies for occupational health and safety (OSH) management. The survey was disseminated to members of OSH-related organizations, mainly in the United Kingdom and the Netherlands. There were 158 respondents, with over half (n = 91, 58%) reporting current use of wearable sensors, including physical hazards (n = 57, 36%), air quality (n = 53, 34%), and location tracking (n = 36, 23%), although this prevalence likely also captures traditional monitoring equipment. There were no clear distinctions in wearable sensor use between the reported demographic and occupational characteristics, with the exception that hygienists were more likely than non-hygienists (e.g. safety professionals) to use wearable sensors (66% versus 34%). Overall, there was an interest in how sensors can help OSH professionals understand patterns of exposure and improve exposure management practices. Some wariness was expressed primarily around environmental and physical constraints, the quality of the data, and privacy concerns. This survey identified a need to better identify occupational situations that would benefit from wearable sensors and to evaluate existing devices that could be used for occupational hygiene. Further, this work underscores the importance of clearly defining "sensor" according to the occupational setting and context.

关键词： sensing technology wearable sensors occupational hygiene health and safety occupational exposure exposome

来源：评论

学校读者我要写书评

暂无评论

Design of Fluxgate Current sensor Based on Magnetization Residence Times and Neural Networks

引用

sensors 2024年第12期24卷 3752页

作者： Li, Jingjie Ren, Wei Luo, Yanshou Zhang, Xutong Liu, Xinpeng Zhang, Xue Dalian Univ Technol Key Lab Intelligent Control & Optimizat Ind Equipm Minist Educ Dalian 116024 Peoples R China Dalian Univ Technol Sch Control Sci & Engn Dalian 116024 Peoples R China Beijing Inst Aerosp Syst Engn Beijing 100076 Peoples R China Dalian Univ Technol 2 Linggong Rd Dalian 116024 Peoples R China

This study introduces a novel fluxgate current sensor with a compact, ring-shaped configuration that exhibits improved performance through the integration of magnetization residence times and neural networks. The sensor distinguishes itself with a unique magnetization profile, denoted as M waves, which emerge from the interaction between the target signal and ambient magnetic interference, effectively enhancing interference suppression. These M waves highlight the non-linear coupling between the magnetic field and magnetization residence times. Detection of these residence times is accomplished using full-wave rectification circuits and a Schmitt trigger, with a digital output provided by timing sequence detection. A dual-layer feedforward neural network deciphers the target signal, exploiting this non-linear relationship. The sensor achieves a linearity error of 0.054% within a measurement range of 15 A. When juxtaposed with conventional sensors utilizing the residence-time difference strategy, our sensor reduces linearity error by more than 40-fold and extends the effective measurement range by 150%. Furthermore, it demonstrates a significant decrease in ambient magnetic interference.

关键词： current sensor fluxgate residence times neural network linearity error

来源：评论

学校读者我要写书评

暂无评论

Recent Research Trends for Developing Highly Sensitive, Flexible Organic Field-Effect Transistor-Based Gas sensors

引用

ACS APPLIED POLYMER MATERIALS 2025年第5期7卷 2749-2760页

作者： Ko, In Hwa Park, Yeong Don Incheon Natl Univ Dept Energy & Chem Engn Incheon 22012 South Korea Incheon Natl Univ Innovat Ctr Chem Engn Incheon 22012 South Korea

This review delves into the current research trends in organic field-effect transistor (OFET)-based gas sensors, emphasizing their potential applications in wearable and flexible electronics, particularly electronic skin (e-skin). OFET-based gas sensors leverage interactions between gas molecules and organic semiconductor layers to modulate electrical signals, thereby enabling precise gas detection. The review elaborates on key performance metrics, such as sensitivity, response and recovery rates, limit of detection, and selectivity. Advances in material design, including the use of conjugated polymers, organic-inorganic hybrids, and surface modifications, have been discussed as strategies to enhance the sensing performance. The integration of OFET-based gas sensors into flexible platforms highlights their potential for real-time environmental monitoring and health diagnostic applications. Future studies should focus on improving the device stability, sensitivity, and selectivity to meet the demands of practical applications.

关键词： OFET organic gas sensor organic semiconductor electronic skin wearable sensor

来源：评论

学校读者我要写书评

暂无评论

Pneumatic Bellow Actuator with Embedded sensor Using Conductive Carbon Grease

引用

sensors 2024年第16期24卷 5403页

作者： Moreno, David Narvaez, Diana Newell, Brittany Purdue Univ Polytech Inst Sch Engn Technol W Lafayette IN 47907 USA

The present work demonstrates the manufacturing process of a pneumatic bellow actuator with an embedded sensor, utilizing a novel manufacturing approach through the complete use of additive manufacturing techniques, such as direct ink writing (DIW) and traditional fused deposition modeling (FDM) methods. This study is innovative in its integration of a dielectric electroactive polymer (DEAP) structure with sensing electrodes made of conductive carbon grease (CCG), showcasing a unique application of a 3D-printed DEAP with CCG electrodes for combined DEAP sensing and pneumatic actuation. Initial experiments, supported by computational simulations, evaluated the distinct functionality of the DEAP sensor by itself under various pressure conditions. The findings revealed a significant change in capacitance with applied pressure, validating the sensor's performance. After sensor validation, an additive manufacturing process for embedding the DEAP structure into a soft pneumatic actuator was created, exhibiting the system's capability for dual sensing and actuation, as the embedded sensor effectively responded to applied actuation pressure. This dual functionality represents an advancement in soft actuators, especially in applications that require integrated and responsive actuation and sensing capabilities. This work also represents a preliminary step in the development of a 3D-printed dual-modality actuator (pneumatic and electrically activated DEAP) with embedded sensing.

关键词： dielectric electroactive polymers soft actuator conductive carbon grease pressure sensor pneumatic actuator

来源：评论

学校读者我要写书评

暂无评论

Human Activity Recognition in a Free-Living Environment Using an Ear-Worn Motion sensor

引用

sensors 2024年第9期24卷 2665页

作者： Boborzi, Lukas Decker, Julian Rezaei, Razieh Schniepp, Roman Wuehr, Max Ludwig Maximilians Univ Munchen German Ctr Vertigo & Balance Disorders DSGZ D-81377 Munich Germany Ludwig Maximilians Univ Munchen Inst Emergency Med & Med Management D-80336 Munich Germany Ludwig Maximilians Univ Munchen Dept Neurol D-81377 Munich Germany

Human activity recognition (HAR) technology enables continuous behavior monitoring, which is particularly valuable in healthcare. This study investigates the viability of using an ear-worn motion sensor for classifying daily activities, including lying, sitting/standing, walking, ascending stairs, descending stairs, and running. Fifty healthy participants (between 20 and 47 years old) engaged in these activities while under monitoring. Various machine learning algorithms, ranging from interpretable shallow models to state-of-the-art deep learning approaches designed for HAR (i.e., DeepConvLSTM and ConvTransformer), were employed for classification. The results demonstrate the ear sensor's efficacy, with deep learning models achieving a 98% accuracy rate of classification. The obtained classification models are agnostic regarding which ear the sensor is worn and robust against moderate variations in sensor orientation (e.g., due to differences in auricle anatomy), meaning no initial calibration of the sensor orientation is required. The study underscores the ear's efficacy as a suitable site for monitoring human daily activity and suggests its potential for combining HAR with in-ear vital sign monitoring. This approach offers a practical method for comprehensive health monitoring by integrating sensors in a single anatomical location. This integration facilitates individualized health assessments, with potential applications in tele-monitoring, personalized health insights, and optimizing athletic training regimes.

关键词： human activity recognition inertial sensor ear in-ear sensing vital sign monitoring wearables machine learning deep learning

来源：评论

学校读者我要写书评

暂无评论

sensor-Integrating Bolt for Multiaxial Force Measurement

引用

IEEE sensors JOURNAL 2024年第17期24卷 27265-27274页

作者： Herbst, Felix Chadda, Romol Peters, Julian Riehl, David Hartmann, Claas Suppelt, Sven Breimann, Richard Kirchner, Eckhard Hofmann, Klaus Matthiesen, Sven Kupnik, Mario Tech Univ Darmstadt Dept Elect Engn & Informat Technol Measurement & Sensor Technol Grp D-64283 Darmstadt Germany Karlsruhe Inst Technol Inst Prod Engn Dept Mech Engn D-76131 Karlsruhe Germany Tech Univ Darmstadt Dept Elect Engn & Informat Technol Integrated Elect Syst Lab D-64283 Darmstadt Germany Tech Univ Darmstadt Inst Prod Dev & Machine Elements Dept Mech Engn D-64283 Darmstadt Germany

Standardized fasteners such as bolts are particularly suitable for structurally integrated force measurements, as they are located directly in the force flow and therefore allow the monitoring of the overall system status in situ via the multiaxis components of the acting forces. Available solutions are either tailored to specific applications or focus solely on measuring individual components such as the axial force. We present a sensor integrated bolt that is capable of measuring axial force and bending torques. Two cavities are designed within the bolt for the measurement and full integration of electronics, allowing for full encapsulation and autonomy of the sensor. Adjustments to the bolt, such as the cavity design, are optimized using a finite-element analysis (FEA) to minimize any weakening of its primary function. Losses in resilience correspond to the reduction of a strength class. The sensor incorporates three bending beams equipped with strain gauges benchmarked through a calibration setup, which demonstrates a low uncertainty of only 2.5% and the capability to decouple axial and bending loads from the sensor's output signals. The sensor is integrated into a prototype M20 bolt by means of screwing and bonding connection. Measurements confirm a linear force transmission to the sensor with a linearity error of 1.0% for axial loading and a hysteresis error of 1.9%. Experimental validation confirms the bolt's capability to detect bending moments under axial pretension, thus allowing for capturing all acting forces on such bolted connections.

关键词： Fasteners sensors Force Force measurement Bending Strain measurement Deformation Force sensor sensor bolt sensor-integrated machine elements smart parts strain gauge

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：