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检索条件"任意字段=International Conference on Signal-Image Technology and Internet-Based Systems"

共 6215 条记录，以下是341-350 订阅

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Research on the Design and Application of Sampling Circuits for Deep Learning-based Leakage Detectors 4

Research on the Design and Application of Sampling Circuits ...

引用

4th international conference on Energy Engineering and Power systems, EEPS 2024

作者： Gao, Chengnan Liu, Shuo Chen, Yanjun Song, Hui Mu, Xiangyang Zhongfu Safety Technology Co. Ltd Jinan China College of Mechanical and Electronic Engineering Shandong Agricultural and Engineering University Jinan China

ISBN: (纸本)9798350366914

With the widespread use of electrical equipment, power devices operating in humid and rainy environments often suffer from insulation degradation, leading to frequent leakage incidents that pose serious threats to personal and property safety. This paper proposes an intelligent leakage detector based on deep learning, aimed at improving the accuracy and intelligence of leakage detection. a comprehensive set of leakage detection hardware circuits is created, which includes a current acquisition circuit, voltage acquisition circuit, signal conditioning circuit, and so on. And a second-order band-pass filter was designed and tested in real engineering applications. The detector achieved a leakage detection accuracy of 98% in complex electrical environments, which is more than 10% higher than traditional design methods. This study provides new insights for the development of leakage detection technology and is of great significance for enhancing electrical safety. © 2024 IEEE.

关键词： Timing circuits

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Design and Application of image Recognition Framework based on Cloud Edge Collaboration in Distribution Stations 5

Design and Application of Image Recognition Framework Based ...

引用

5th IEEE international conference on Power, Intelligent Computing and systems, ICPICS 2023

作者： Wu, Wenwei Zhang, Lishou Kang, Kai Liu, Juntao State Grid Shanghai Municipal Electric Power Company Construction and Operation Center Shanghai China Shanghai Yitong Information Technology Co. Ltd R and D Department Shanghai China

ISBN: (纸本)9798350333442

Targeted on the intelligent identification and cloud load reduction requirements of power system in video monitoring, a vision analysis system platform and implementation scheme for distribution station based on cloud edge system are proposed. Through multi-source data fusion analysis, optimization of defect fault location, image recognition algorithm, cloud edge threshold classification collaboration, image processing and feature extraction technologies such as YOLOv3, Mask-CRNN, etc., the high-definition real-time image is analyzed, and the main equipment status recognition and security abnormal behavior recognition functions of the distribution station are realized. The real-time and accuracy of each analysis function is verified by the on-site distribution station, and the relevant experimental results of some functions in the power grid are compared to show the effectiveness of the system scheme. © 2023 IEEE.

关键词： internet of things

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Driver physiological condition assessment system based on image-based photoplethysmography 4

Driver physiological condition assessment system based on im...

引用

4th international conference on Testing technology and Automation Engineering, TTAE 2024

作者： Chen, Chen Wang, Qi Li, Haochen Jin, Yu Chen, Jinhao Chen, Yujie Huang, Jiating Hu, Danfeng Soochow University School of Electronic and Information Engineering Suzhou China

ISBN: (数字)9781510686656

ISBN: (纸本)9781510686649

Automated driving is in the stage of development and industry standardization. In order to ensure the safety of autonomous driving, intervention by the driver is required at any time to address unexpected situations during the autonomous driving process. Due to the fatigue and other factors, drivers are often unable to intervene in time to respond to unexpected situations, and autonomous driving accidents occur from time to time. Some companies have already installed DMS in their vehicles, however, many physiological conditions caused by fatigue vary from person to person, and there is still a need for a more reliable and cost-effective method to monitor the driver's condition. based on the study of a large number of driver monitoring systems (DMS), we propose the use of image-based photoplethysmography (iPPG) for driver physiological condition monitoring, which can effectively solve most of the pain points of the DMS. In this paper, we present an innovative dual-camera measurement system designed to tackle measurement errors arising from environmental variability and motion artifacts. This dual-camera configuration aims to improve the accuracy of physiological signal monitoring, thereby providing more reliable assessments of the driver's condition during autonomous driving. © 2024 SPIE.

关键词： Condition monitoring

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Visual-auditory substitution device for indoor navigation based on fast visual marker detection 16

Visual-auditory substitution device for indoor navigation ba...

引用

16th international conference on signal-image technology and internet-based systems (SITIS)

作者： Scalvini, Florian Bordeau, Camille Ambard, Maxime Migniot, Cyrille Argon, Stephane Dubois, Julien Univ Bourgogne Franche Comte ImViA EA 7535 Dijon France Univ Bourgogne Franche Comte CNRS UMR 5022 LEAD Dijon France

ISBN: (纸本)9781665464956

This paper proposes a new navigation device to assist visually impaired people reach a defined destination safely in the indoor environment. This approach based on visual-auditory substitution provides the user a 2D spatial sound perception of the destination and of nearby and dangerous obstacles. Visual markers are placed at several relevant locations to create a mesh of the building where each marker is visually accessible from another marker. A graph representation of markers locations and their connection to each other defines by a way finding algorithm the shortest path reach to the wished position. The navigation task is achieved by moving from visual marker to visual marker until the desired destination is reached. These markers can be used independently of any other system or in addition to other solutions based on geolocalisation and/or a digital building model. Moreover, further information can be associated to the markers, and therefore verbalize to the user for instance a temporary hazards, a door presence or any other usual displayed information. The passive visual markers enables to deploy easily and quickly a scalable and low-cost solution to "signpost" the environment for users. Combined with our realtime implemented obstacle detection, their analysis enables the navigational abilities of visually impaired people to be improved.

关键词： Auditory sensory substitution Wearable assistive device Navigation aid Obstacle avoidance Visual impairment Sonification Visual marker detection

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A Self-Adaptive image Segmentation-based Dual Watermarking Technique for Medical images 8

A Self-Adaptive Image Segmentation-Based Dual Watermarking T...

引用

8th international conference on signal and image Processing, ICSIP 2023

作者： Meng, Bowen Yuan, Xiaochen Wang, Fan Macao Polytechnic University Faculty of Applied Sciences Macao China

ISBN: (纸本)9798350397932

The smart healthcare system plays a more critical role than ever before. It is designed to share electronic patient records (EPR) to improve medical care and facilitate research. However, protecting the security of EPR data is still a significant challenge. This paper proposes a new method for safeguarding EPR data in such systems. The method is a self-adaptive image segmentation-based dual watermarking technique that embeds both EPR data and authentication information in the wavelet domain of selected region of non-interest (RONI) for enhanced security, imperceptibility, and robustness. The experiments are based on a large dataset of medical data, The Cancer Genome Atlas Lung Adenocarcinoma Collection (TCGA-LUAD). The results found that the method is effective for the smart healthcare system. Compared with existing techniques, the proposed approach is better regarding security, robustness, and capacity. © 2023 IEEE.

关键词： image segmentation

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internet of Things-based Bridge Surveillance System 4th

Internet of Things-Based Bridge Surveillance System

引用

4th international conference on Recent Trends in Machine Learning, IoT, Smart Cities, and Applications, ICMISC 2023

作者： Parashuram, N. Rohith, K. Rajesh Kumar, B. Nagsai, K. Nazeer Hussain, D. Department of CSE G. Pullaiah College of Engineering and Technology Kurnool India G. Pullaiah College of Engineering and Technology Kurnool India

ISBN: (纸本)9789819994410

The internet of Things has repeatedly demonstrated its ability to make previously unavailable solutions available. Bridge health monitoring is a system where internet of Things (BHM) solutions have proven their feasibility. The bridge is made of clementine wood and is exposed to harsh environmental conditions day and night that damage various structural components. These include but are not limited to cracks in the surface of the bridge, excessive bridge weight, and flooding around the bridge. This BHM system collects data using various sensors (water level sensors, IR sensors, etc.) and uses algorithms (rapid screening algorithms, image processing) or approaches to identify accessible areas of the bridge or can you solve the specific problem of cracks in difficult situations, such as inaccessible areas? Data can be analyzed and processed to determine if the bridge is damaged or if it is surrounded by flood-like conditions. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： internet of things

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Constant Magnetizing Current Battery Equalizer based on Multi-Winding Transformer 5

Constant Magnetizing Current Battery Equalizer Based on Mult...

引用

5th international conference on Smart Power and internet Energy systems, SPIES 2023

作者： Zou, Runmin Zhou, Wenqi Mushtaq, Khurram School of Automationame Central South University Changsha China

ISBN: (纸本)9798350371741

Automatic battery equalizer has the characteristics of low cost. However, due to the lack of signal feedback in the automatic battery equalizer, self-regulation and topology protection are seriously inadequate. In this paper, a new method based on multi-winding transformer that can achieve constant magnetizing current balancing with a current sensor is proposed. By adjusting the duty cycle of switches (MOSFETs), the constant magnetizing current is controlled, which can achieve fast balancing speed while ensuring circuit safety and reducing cost. The equalizer has multiple modes such as Cell to Cell (C2C), Cell to String (C2S), and String to String (S2S), and the equalizer can be switched in different modes by controlling the MOSFETs. © 2023 IEEE.

关键词： Equalizers

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Practical Weed Detection based On Data Fusion Techniques In Precision Agriculture 16

Practical Weed Detection Based On Data Fusion Techniques In ...

引用

16th international conference on signal-image technology and internet-based systems (SITIS)

作者： El Alaoui, Ali Mousannif, Hajar Ayad, Hassan Dahmad, Hayat Ait Cadi Ayyad Univ Comp Syst Engn Lab Fac Sci Semlalia Marrakech Morocco Cadi Ayyad Univ Fac Sci & Technol Elect Syst & Telecommun Lab Marrakech Morocco

ISBN: (纸本)9781665464956

Artificial intelligence (AI) technologies have seen interesting applications in the agricultural sectors over the last few decades. Researchers have demonstrated that DL-based solutions are more accurate than previous classical techniques. Currently, weed control has received increased attention due to its potential to increase agricultural productivity. The weeds occlusion, variation in weather conditions, complex scenes background, and failures to transfer learning opened up a new world for researchers in this domain. This work aims to develop a fusion technique based on transfer learning to identify and localize more than 20 types of weeds in Morocco. Our strategy uses a data merging technique to address the needs of the actual agricultural field. In this regard, the you only look once (YOLOv5) framework was trained on a dynamic dataset with interventions, which results in a reasonable mean average precision (mAP) exceeding 96.38% and a precision of 97.95% with a recall value of 93.25% on the validation set. Therefore, the selection of the dataset demonstrates the robustness of this research as it contains images collected in real agricultural environments with a specific range of standards, which robots can use to effectively control weeds in real environments.

关键词： Machine learning deep learning IoT precision agriculture weed detection robotic weed control machine vision for weed control

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YOLO-iCBAM: An Improved YOLOv4 based on CBAM for Defect Detection 15

YOLO-iCBAM: An Improved YOLOv4 based on CBAM for Defect Dete...

引用

15th international conference on signal Processing systems, ICSPS 2023

作者： Bao, Junqi Yuan, Xiaochen Faculty of Applied Science Macao Polytechnic University 999078 China

ISBN: (纸本)9781510675056

Defect detection in Photovoltaic (PV) cell Electroluminescence (EL) images is a challenge in industry. In this paper, a novel defect detection method YOLOv4 with an improved Convolutional Block Attention Module (YOLO-iCBAM) is proposed for PV cell EL images. We first propose an improved CBAM to enhance the network’s ability to capture multi-scale defects in complex image backgrounds. Then, we modify the conventional YOLOv4 architecture for defect detection. Specifically, we adjust the backbone network to make a fast convergence. Then, we adopt the iCBAM to YOLOv4 to refine the feature map before YOLO Head. Then, we train a K-Means++ model based on PV cell EL images to generate anchors for bounding box regression. Moreover, we conduct experiments in the PVEL-AD dataset to evaluate the proposed YOLO-iCBAM. The experimental results indicated that the proposed YOLO-iCBAM achieves a better F1-Score of 0.716 and mAP of 0.748. © 2024 SPIE.

关键词： Computer vision

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Application of Artificial Intelligence-based Video image Processing technology in Security Industry

Application of Artificial Intelligence-based Video Image Pro...

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2022 international conference on Cloud Computing, internet of Things, and Computer Applications, CICA 2022

作者： Wang, Fei Jiangxi Police Institute Jiangxi Nanchang330038 China

ISBN: (纸本)9781510656673

In the field of security, video image processing technology plays an important role. An efficient security system based on video processing technology can effectively improve the efficiency of public security, transportation, justice, retail and other industries. Nowadays, with the development of information technology, video image processing technology can gradually replace manual labor in the field of security. This paper analyzes the point processing, area processing and frame processing in video image processing technology in detail, and conducts in-depth investigation and research on the application of video image processing technology in the field of security. © 2022 SPIE.

关键词： Video signal processing

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