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检索条件"机构=Advanced Computer Engineering Lab"

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Analog Magnetic Sensor-Robotic System for Steel Structure Inspection

Analog Magnetic Sensor-Robotic System for Steel Structure In...

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IEEE/SICE International Symposium on System Integration

作者： Anh Quyen Pham Duc La Hung Manh La AIR-VIET Corporation in Vietnam Kahlert School of Computing University of Utah Salt Lake City UT USA Department of Computer Science and Engineering Advanced Robotics and Automation (ARA) Lab University of Nevada Reno NV USA

More and more steel bridge collapse accidents occur worldwide due to broken steel structures, causing significant l oss o f l ife a nd p roperty t o m ankind. T his has spurred much research into robots that can climb steel surfaces and carry smart sensors with the desire to assist inspectors in inspecting steel defects. However, current non-destructive evaluation (NDE) sensors such as eddy-current and giant magnetoresistance (GMR) are not able to be integrated with the robotic platforms due to their large size, mass, and limited ability to interface. More importantly, these NDE sensors may fail to detect hidden and underlying cracks. Therefore, in this paper, we present a novel and compact analog magnetic sensor system to detect different types of cracks in steel. Validations are carried out on a steel test plate 600mm long, 140mm wide, and 6mm thick, and precision machined by CNCs to produce various man-made cracks including penetrating cracks, surface cracks, internal/hidden cracks, and underlying cracks. These cracks have a width varying from 0.6mm to 1.2mm with different depth levels. Combined with applying the Kalman filter t o t he n oise r eduction s ystem, t he r esults o btained are accurate, and the response speed is fast. The sensor is small enough and has firmware/software with an interface to make it possible to be integrated with a small drone or a climbing robot to perform an in-depth inspection of the steel bridge. A demonstration of the system can be seen in this video: https://***/OrdpLdnFlYk

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Evaluation of Efficient Electrocardiomatrix-Based Identification Using Deep Learning Methods

Evaluation of Efficient Electrocardiomatrix-Based Identifica...

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International eConference on computer and Knowledge engineering (ICCKE)

作者： Amirhossein Safari Narges Mokhtari Mohsen Hooshmand Sadegh Sadeghi Peyman Pahlevani dept. Computer Science IT Institute for Advanced Studies in Basic Sciences (IASBS) Zanjan Iran CPS Lab dept. Electrical Engineering Shahid Rajaee Teacher Training University (SRTTU) Tehran Iran dept. Mathematics Institute for Advanced Studies in Basic Sciences (IASBS) Zanjan Iran

ISBN: (数字)9798331511272

ISBN: (纸本)9798331511289

Nowadays, biometric systems are essential for identification and authentication. This study proposes deep learning models for user identification using electrocardiomatrices (ECMs) as input. The proposed models are evaluated from different perspectives to assess their efficiency and performance for user identification. One aspect involves comparing convolutional and recurrent neural models. In contrast, another element consists of testing the models with different numbers of ECMs and beats per frame for generating the ECMs. The results are based on an analysis of three different electrocardiogram databases.

关键词： Deep learning Knowledge engineering Databases Convolution Computational modeling Biological system modeling Electrocardiography Data models Long short term memory Testing

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Graph-Based Local Planning with Spatiotemporal Risk Assessment for Risk-Bounded and Prediction-Aware Autonomous Driving

Graph-Based Local Planning with Spatiotemporal Risk Assessme...

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International Conference on Control, Automation, Robotics and Vision (ICARCV)

作者： Abdulrahman Ahmad Majid Khonji Ameena Al-Sumaiti Jorge Dias Khaled Elbassioni Department of Computer Science Khalifa University Abu Dhabi UAE Khalifa University Center for Autonomous Robotic Systems (KUCARS) Abu Dhabi UAE Department of Electrical Engineering Smart OR Lab Advanced Power Energy Center (APEC) Khalifa University Abu Dhabi UAE Department of Computer and Information Engineering Khalifa University Abu Dhabi UAE

ISBN: (数字)9798331518493

ISBN: (纸本)9798331518509

Risk-bounded motion planning for autonomous driving in dynamic environments presents significant research challenges. Ensuring continuous navigation towards a destination while making real-time decisions is a nonconvex problem. This paper presents a graph-based local planning method constrained by user-specific driving preference, represented as a risk-bound criterion for motion planning. First, we propose a lattice graph construction method that adheres to the vehicle's curvature constraints. Then, we formulate the trajectory planning problem as an integer-linear programming task, addressed by our novel risk-bounded and prediction-aware constrained shortest path. Our solution accounts for both static and dynamic obstacles in urban settings, adhering to traffic regulations. At the core of our approach is a conservative spatiotemporal risk assessment mechanism, which evaluates collisions considering the uncertain delay from speed control of the ego vehicle and predicted trajectories of dynamic obstacles. We implemented our solution using the CARLA simulator and the ROS2 platform, within a comprehensive framework encompassing global planning, local planning, and vehicle control. The effectiveness of our approach is demonstrated through notable collision avoidance, improved path-tracking, and enhanced risk-bounded planning capabilities.

关键词： Trajectory planning Dynamics Velocity control Planning Spatiotemporal phenomena Trajectory Risk management Vehicle dynamics Collision avoidance Autonomous vehicles

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Broadband Circularly Polarized SIW-Based H-Plane Horn Antenna for X/Ku Band Applications

Broadband Circularly Polarized SIW-Based H-Plane Horn Antenn...

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Antennas and Propagation & USNC/URSI National Radio Science Meeting

作者： Anil Kumar Nayak Igor M. Filanovsky Saptarshi Ghosh Kambiz Moez Amalendu Patnaik Dept. of ECE Advanced Micowave Lab. Indian Institute of Technology Roorkee India Dept. of Electrical and Computer Engineering iCAS Laboratory University of Alberta Canada Dept. of Electrical Engineering Applied Electromagnetic Laboratory Indian Institute of Technology Indore India

ISBN: (数字)9798350369908

ISBN: (纸本)9798350369915

In this paper, a circularly polarized (CP) substrate-integrated waveguide (SIW)-based H-plane horn antenna with broader impedance bandwidth and higher peak realized gain (PRG) for armature satellite services (X-band, 8–12 GHz) and broadcast satellite (Ku-band, 12–18 GHz) applications is presented. A tapered microstrip transition is used in the feeding section to obtain the broadband characteristics. In addition, the feeding component of the antenna utilizes three quarter-wavetransformers to enhance impedance matching and widen the bandwidth. To generate the CP, two rows of rectangular slots are etched from both the top and bottom metal surfaces of the design. The antenna is designed, fabricated, and tested. The measured fractional impedance bandwidth of 41.6%, the 3-dB axial ratio bandwidth of 3.8 GHz, the maximum PRG of 6.95 dBic, the maximum radiation efficiency (simulated) of 87 %, and the cross-polarization level below -40 dB have been achieved at the center frequency of 13.2 GHz.

关键词： Antenna measurements Horn antennas Satellite broadcasting Bandwidth Broadband communication Frequency measurement Broadband antennas

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Signal Integrity Analysis of High-speed PCIe Channel with Board-to-Board Interconnect for High-Performance Server

Signal Integrity Analysis of High-speed PCIe Channel with Bo...

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Electrical Design of advanced Packaging and Systems Symposium, EDAPS

作者： Seongguk Kim Keeyoung Son Jiwon Yoon Taein Shin Keunwoo Kim Boogyo Sim Joonsang Park Seonguk Cho Jihun Kim Haeyeon Kim Joungho Kim Hyunwook Park School of Electrical Engineering Korea Advanced Institute of Science and Technology (KAIST) Daejeon Republic of Korea EMC Lab Dept. Electrical and Computer Engineering Missouri University of Science and Technology (MST) Rolla MO United States

In this paper, we analyzed high-speed peripheral component interconnect express (PCIe) channel with board-to-board (B2B) interconnect considering signal integrity for high-performance server. The physical length of the PCIe channel with different B2B interconnects, corresponding to cable type and connector type, is designed. Each component of the PCIe channel including the interposer, package, PCB, cable, and connector is modeled by a 3D electromagnetic (3D-EM) solver and commercial reference. The electrical characteristics of cable-type and connector-type PCIe channels are analyzed in the frequency and time domains. As a result, the cable-type PCIe channel shows higher eye height and width than the connector-type at 32 Gbps due to the small loss despite the high impedance discontinuity and the stub effect of the connector.

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Broadband High Gain SIW-Based H-Plane Horn Antenna for Ku/K Band Application

Broadband High Gain SIW-Based H-Plane Horn Antenna for Ku/K ...

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Antennas and Propagation & USNC/URSI National Radio Science Meeting

ISBN: (数字)9798350369908

ISBN: (纸本)9798350369915

In this paper, a substrate-integrated waveguide (SIW)-based H-plane horn antenna with a broader impedance bandwidth and high peak realized gain (PRG) for broadcast satellite (Ku/K band, 12.5-26.5 GHz) and fixed satellite K band, 18-26.5 GHz) services applications is presented. A tapered microstrip transition is used in the feeding section to obtain the broadband characteristics. In addition, the multistrip transition also helped to enhance the fractional impedance bandwidth (FIBW), radiation characteristics and to improve the PRG. This mechanism of bandwidth increase can be explained by applying the coupled resonators theory. The antenna is designed, fabricated, and tested. The measured FIBW of 16.3%, the PRG of 10.56 dBi at the end-fire direction, the maximum radiation efficiency of 88.56%, and the cross-polarization level below - 35 dB have been achieved at the center freqency of 19 GHz.

关键词： Antenna measurements Satellite antennas Horn antennas Satellite broadcasting Bandwidth Broadband communication Broadband antennas

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A Low-Code Development Framework for Constructing Industrial Apps 15th

A Low-Code Development Framework for Constructing Industrial...

引用

15th CCF Conference on computer Supported Cooperative Work and Social Computing, Chinese CSCW 2020

作者： Wang, Jingyue Qi, Binhang Zhang, Wentao Sun, Hailong SKLSDE Lab School of Computer Science and Engineering Beihang University Beijing100191 China Beijing Advanced Innovation Center for Big Data and Brain Computing Beijing100191 China

ISBN: (纸本)9789811625398

With the advent of the Industry 4.0, intelligent manufacturing has become a technological highland to conquer in the process of enterprise digitalization. As the core competitiveness of intelligent manufacturing, industrial apps, with new features such as customization and lightweight, has emerged as a new type of industrial software. Traditional development methods and tools can hardly meet the large demand of industrial software on account of its long development cycles while low-code development can greatly improve the productivity of industrial software, lower the barriers and reduce costs for development. Therefore, the research and application of low-code development for industrial apps has received much attention. Industrial Internet platforms such as Siemens, OutSystems have successively launched low-code tools. However, there is still a lack of an open, unified low-code development framework in industry. In response to the above problems, we propose a low-code framework to develop industrial apps quickly and easily, which paves the way for leveraging the crowd intelligence of worldwide developers to improve the productivity of developing industrial apps. Based on BPMN2.0 and Apache Activiti engine, this framework provides drag-and-drop process design, one-click process deployment and operation, data monitoring and other functions. In this paper, we present a prototype system of a low-code development framework and demonstrate its functions through a use case of developing a predictive maintenance application. Finally, the aircraft turbine life data is used to verify the effectiveness of the system. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Productivity

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Review of MRI brain tumor segmentation and MGMT promoter classification methods on BraTs dataset based on Deep learning

Review of MRI brain tumor segmentation and MGMT promoter cla...

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International Conference on advanced Technologies for Signal and Image Processing (ATSIP)

作者： Feriel Amor Hiba Mzoughi Ines Njeh Mohamed Ben Slima Advanced Technologies for Image and Signal Processing (ATISP Lab) Sfax University National Engineering School of Sfax ATMS LAB Tunisia Gabès university Higher Institute of Computer Science and Multimedia of Gabes Gabes Sfax University National School of Electronics and Telecommunications of Sfax Sfax

ISBN: (数字)9798350351484

ISBN: (纸本)9798350351491

During clinical decision-making, the segmentation process Is considered an important task because it provides valuable information about the location, size, and characterization of the brain tumor. However, manual human segmentation is error-prone, time-consuming, and requires skilled *** resonance imaging (MRI) could give extremely detailed images for the investigation and diagnosis of glioblastoma brain *** compared evaluated approaches on the BRATS 2021 and BRATS 2022 datasets and found that they outperformed and could compete with state-of-the-art algorithms in comparable *** our research, we focused on two crucial tasks: segmentation and MGMT classification. This study also addresses asn objective evaluation through performance evaluation of cutting-edge DL-based techniques for MR image analysis (Brats 2021-Brats 2022). Based on the findings of the contrasted methods, we can confirm that using a combination of DL techniques will produce more accurate segmentation results than depending on a single, unique methodology. For the second task, five distinct deep learning-based methods were evaluated to predict the methylation state of the MGMT promoter.

关键词： Deep learning Performance evaluation Learning systems Image segmentation Accuracy Reviews Magnetic resonance imaging

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Test-Time Training-Free Domain Adaptation 48

Test-Time Training-Free Domain Adaptation

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48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023

作者： Feng, Yongxiang He, Weihua You, Kaichao Liu, Bing Zhang, Ziyang Wang, Yaoyuan Li, Minglei Lou, Yihang Li, Jiawei Li, Guoqi Liao, Jianxing Huawei Technologies Co. Ltd. Advanced Computing and Storage Lab China Peking University School of Electronics Engineering and Computer Science China Huawei Technologies Co. Ltd. Language & Speech Innovation Lab China Huawei Technologies Co. Ltd. GoTen AI Lab Department of Intelligent Vision China Huawei Technologies Co. Ltd. Department of Production Automation Development China Chinese Academy of Sciences Institute of Automation China

ISBN: (纸本)9781728163277

Deploying deep learning models to new environments is very challenging. Domain adaptation (DA) is a promising paradigm to solve the problem by collecting and adapting to unlabeled data in new environments. Though research efforts have led to steady performance improvement over the past decade, DA algorithms are still hard to deploy, as training on unlabeled new data makes tuning difficult and not feasible for inference-only devices. To make DA practical, in this paper we study a new problem named Test-time Training-Free Domain Adaptation (TTDA), where trained models must adapt to a single input (mimicking the test-time scenario) without training. By exploiting spatial activation that was previously overlooked and simply averaged out, we propose a simple method based on Feature Statistics Transformation (FST) on-the-fly for each test example. The proposed algorithm is tested in the TTDA setting on two standard DA benchmarks. Surprisingly, it surpasses or performs on par with state-of-the-art DA methods, even though they require additional training. We envision that this training-free paradigm has the potential to bring DA to embedded devices and would be of interest to audience of community. © 2023 IEEE.

关键词： Deep learning

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A Soft Micro-Robotic Catheter for Aneurysm Treatment: A Novel Design and Enhanced Euler-Bernoulli Model with Cross-Section Optimization

A Soft Micro-Robotic Catheter for Aneurysm Treatment: A Nove...

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Emanuele Nicotra Chi Cong Nguyen James Davies Phuoc Thien Phan Trung Thien Hoang Bibhu Sharma Adrienne Ji Kefan Zhu Trung Dung Ngo Van Anh Ho Hung Manh La Nigel H. Lovell Thanh Nho Do Graduate School of Biomedical Engineering Faculty of Engineering UNSW Sydney Kensington Campus Australia More-Than-One Robotics Laboratory Faculty of Sustainable Design Engineering University of Prince Edward Island Charlottetown Canada Soft Haptics Laboratory School of Materials Science Japan Advanced Institute of Science and Technology Kawaguchi Saitama Japan Department of Computer Science and Engineering Advanced Robotics and Automation (ARA) Lab University of Nevada Reno NV USA

ISBN: (数字)9798350384574

ISBN: (纸本)9798350384581

Aneurysms, balloon-like bulges in blood vessels, present a significant health risk due to their potential to rupture, leading to life-threatening internal bleeding. Current treatments often involve delivering embolic materials or metal coils to fill these bulges, occluding them from the pressure of blood flow. However, clinical micro-catheters that deploy embolic materials used today face limitations, primarily their rigidity and the lack of active control over the bending tip of the catheter. This paper introduces a new soft micro-robotics catheter, with diameter of only 0.8 mm, equipped with a hollow channel. With this new design, the new device can induce bending motions at its tip for active steerability to reach desired aneurysm targets and then perform the delivery of embolic materials and tools. To enhance the control and precise navigation during procedures, a robust mathematical model and image processing techniques are also introduced and validated. Experiments are also performed to characterise and validate the model’s accuracy and the steerability and navigation capabilities of the new micro-catheter.

关键词： Performance evaluation Navigation Metals Aneurysm Bending Mathematical models Rigidity

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