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29th ACM SIGKDD conference on Knowledge Discovery and Data Mining (KDD)

作者： Yang, Chaoqi Wu, Zhenbang Jiang, Patrick Lin, Zhen Gao, Junyi Danek, Benjamin P. Sun, Jimeng Univ Illinois Urbana IL 61801 USA Univ Edinburgh Hlth Data Res UK Edinburgh Midlothian Scotland

ISBN: (纸本)9798400701030

Deep learning (DL) has emerged as a promising tool in healthcare applications. However, the reproducibility of many studies in this field is limited by the lack of accessible code implementations and standard benchmarks. To address the issue, we create PyHealth, a comprehensive library to build, deploy, and validate DL pipelines for healthcare applications. PyHealth supports various data modalities, including electronic health records (EHRs), physiological signals, medical images, and clinical text. It offers various advanced DL models and maintains comprehensive medical knowledge systems. The library is designed to support both DL researchers and clinical data scientists. Upon the time of writing, PyHealth has received 633 stars, 130 forks, and 15k+ downloads in total on GitHub. This tutorial will provide an overview of PyHealth, present different modules, and showcase their functionality through hands-on demos. Participants can follow along and gain hands-on experience on the Google Colab platform during the session.

关键词： healthcare deep learning medical image medical codes medical text electronic health record medical knowledge graph biosignal

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Security challenges in autonomous vehicles: a case study of Camera and LiDAR sensors

Security challenges in autonomous vehicles: a case study of ...

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

作者： Maryem Ghliss Lilia Kechiche Karim Chabir Department of Electrical Engineering Research Laboratory MACS LR16ES22 National Engineering School of Gabes University of Gabes Tunisia Department of Science and Technology University College of Ranyah Taif University P.O. Box 11099 Taif Saudi Arabia Laboratory of electronics and microelectronics Monastir Tunisia

ISBN: (数字)9798350351484

ISBN: (纸本)9798350351491

advanced communication and sensing technologies have become a focus for the development of transportation systems. The use of integrated sensors in automated driving vehicles is fundamental for the vehicle’s perception of its environment, and their performance directly determines the safety of automated driving vehicles. Generating adequate information from a single source is so difficult. That is why, for reliable and accurate environmental perception, it is essential to use adequate sensors. This article discusses the security challenges facing the main sensors used for environmental perception in autonomous vehicles’ applications. It mainly considers two types of sensors used in autonomous vehicles: cameras and light detection and ranging (LiDAR) sensors. The paper focuses on various conditions under which these sensors may operate in practice. It analyzes and summarizes the sensors based on their mandatory attributes, with a mention of the main advantages and disadvantages. The paper also defines and simulates attack models associated with these sensors. Based on a simulator and open-source tools, this document shows the impact of some security attacks against autonomous vehicle sensors.

关键词： Laser radar Roads sensor phenomena and characterization Cameras sensor systems Safety Security

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Data Analytics for Health and Connected Care: Ontology, Knowledge Graph and applications 16th

Data Analytics for Health and Connected Care: Ontology, Know...

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16th International conference on Pervasive Computing Technologies for Healthcare

作者： Steenwinckel, Bram De Brouwer, Mathias Stojchevska, Marija Van der Donckt, Jeroen Nelis, Jelle Ruyssinck, Joeri van der Herten, Joachim Casier, Koen Van Ooteghem, Jan Crombez, Pieter De Turck, Filip Van Hoecke, Sofie Ongenae, Femke Univ Ghent IDLab IMEC Technol Pk 126 B-9050 Ghent Belgium ML2Grow Reigerstr 8 B-9000 Ghent Belgium Amaron Kapellestr 13 B-8755 Ruiselede Belgium Telev Healthcare Leo Bekaertlaan 1 B-8870 Izegem Belgium

ISBN: (纸本)9783031345852;9783031345869

Connected care applications are increasingly used to achieve a more continuous and pervasive healthcare follow-up of chronic diseases. Within these applications, objective insights are collected by using Artificial Intelligence (AI) models on Internet of Things (IoT) devices in patient's homes and by using wearable devices to capture biomedical parameters. However, to enable easy re-use of AI applications trained and designed on top of sensor data, it is important to uniformly describe the collected data and how this links to the health condition of the patient. In this paper, we propose the DAHCC (Data Analytics For Health and Connected Care) ontology, dataset and Knowledge Graph (KG). The ontology allows capturing the metadata about the sensors, the different designed AI algorithms and the health insights and their correlation to the medical condition of the patients. To showcase the use of the ontology, a large dataset of 42 participants performing daily life activities in a smart home was collected and annotated with the DAHCC ontology into a KG. Three applications using this KG are provided as inspiration on how other connected care applications can utilize DAHCC. The ontology, KG and the applications are made publicly available at https://***. DAHCC's goal is to integrate care systems such that their outcomes can be visualised, interpreted and acted upon without increasing the burden of healthcare professionals who rely on such systems.

关键词： Connected Care Open health data Ontology

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A Paper-Based Keyboard Using ArUco Codes: ArUco Keyboard

A Paper-Based Keyboard Using ArUco Codes: ArUco Keyboard

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Human Computer Interaction Thematic Area conference Held as Part of the 24th International conference on Human-Computer Interaction (HCII)

作者： Toker, Onur Karaman, Bayazit Demirel, Doga Florida Polytech Univ Lakeland FL 33805 USA

ISBN: (纸本)9783031054099;9783031054082

Object tracking in computer vision can be done either by using a marker-less or marker-based approach. Computer vision systems have been using Fiducial markers for pose estimation in different applications such as augmented reality [5] and robot navigation [4]. With the advancements in Augmented Reality (AR), new tools such as AugmentedReality uco (ArUco) [6] markers have been introduced to the literature. ArUco markers, are used to tackle the localization problem in AR, allowing camera pose estimation to be carried out by a binary matrix. Using a binary matrix not just simplifies the process but also increases the efficiency. As a part of our initiative to create a cost-efficient, 24/7 accessible, Virtual Reality (VR) based chemistry lab for underprivileged students, we wanted to create an alternative way of interacting with the virtual scene. In this study, we used ArUco markers to create a low-cost keyboard only using a piece of paper and an off-the-shelf webcam. We believe this method of keyboard will be more beneficial to the user as they can see the keys before they are typing in the corner of the screen instead of an insufficient on the screen VR keyboard or a regular keyboard where the user can't see what they are typing with a VR headset. As potential extensions of the base system, we have also designed and evaluated a stereo camera and an IMU sensor based system with various sensor fusion techniques. In summary, the stereo camera reduces occlusion related problems, and the IMU sensor detects vibrations which in turn simplifies the KeyPress detection problem. It has been observed that use of any of these additional sensors improves the overall system performance.

关键词： ArUco codes IMU sensors sensor fusion

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Gaussian Process Position-Dependent Feedforward: With Application to a Wire Bonder

Gaussian Process Position-Dependent Feedforward: With Applic...

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17th IEEE International conference on advanced Motion Control (AMC)

作者： van Haren, Max Poot, Maurice Kostic, Dragan van Es, Robin Portegies, Jim Oomen, Tom Eindhoven Univ Technol Dept Mech Engn Control Syst Technol Eindhoven Netherlands ASM Pacific Technol Ctr Competency Beuningen Netherlands Eindhoven Univ Technol Dept Math & Comp Sci CASA Eindhoven Netherlands Delft Univ Technol Delft Ctr Syst & Control Delft Netherlands

ISBN: (纸本)9781728177113

Mechatronic systems have increasingly stringent performance requirements for motion control, leading to a situation where many factors, such as position-dependency, cannot be neglected in feedforward control. The aim of this paper is to compensate for position-dependent effects by modeling feedforward parameters as a function of position. A framework to model and identify feedforward parameters as a continuous function of position is developed by combining Gaussian processes and feedforward parameter learning techniques. The framework results in a fully data-driven approach, which can be readily implemented for industrial control applications. The framework is experimentally validated and shows a significant performance increase on a commercial wire bonder.

关键词： Training Motion planning sensor placement Wires Training data Gaussian processes Feedforward systems

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Wearable Chipless RFID sensor Based on Complementary Split Ring Resonator for Body Temperature Monitoring 10

Wearable Chipless RFID Sensor Based on Complementary Split R...

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10th IEEE Asia-Pacific conference on Applied Electromagnetics, APACE 2024

作者： Adam, Ismahayati Zulkiflee, Zulfazliyana Mohd Rahim, Hasliza A Zambak, Muhammad Fitra Yasin, Mohd Najib Mohd Azemi, Saidatul Norlyana Universiti Malaysia Perlis Faculty of Electronic Engineering & Technology Center of Excellence for Advanced Communication Engineering Arau Perlis02600 Malaysia SDN. BHD. Taman Industri Jaya No. 14&16 Jalan Bistari 6 Johor 81300 Malaysia Universitas Muhammadiyah Sumatera Utara Teknik Electro Kota Medan20238 Indonesia

ISBN: (纸本)9798350364163

This paper presents the design and fabrication of two wearable chipless RFID tag antennas with unique identification codes 10101 and 11111. Each antenna utilizes a circular patch with a split ring resonator, where a specific number and arrangement of slots enable distinct tag identification. Shieldit Super fabric is employed as the radiating element, with felt material serving as the substrate. The antennas operate across a frequency range of 1-3 GHz, and bending analysis indicates reliable performance up to a 60° bend along both x- and Y-axes. Experimental tests on the fabricated antennas revealed sensitivity to environmental factors, with noticeable changes in S11 as temperature varied, highlighting the antenna's responsiveness to thermal fluctuations. These findings support the potential of these designs for robust, flexible, and responsive wearable RFID applications. © 2024 IEEE.

关键词： Wearable antennas

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A Quantum Physics Approach for Enabling Information-Theoretic Secure Communication Channels 14th

A Quantum Physics Approach for Enabling Information-Theoreti...

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14th EAI International conference on Digital Forensics and Cyber Crime (ICDF2C)

作者： Cvitic, Ivan Perakovic, Dragan Univ Zagreb Fac Traff & Transport Sci Vukeliceva 4 Zagreb 10000 Croatia

ISBN: (纸本)9783031565823;9783031565830

Quantum communication, a field of applied quantum physics, is closely tied to quantum teleportation and quantum information processing, with a primary focus on leveraging the laws of quantum mechanics to secure communication systems. An intriguing application within this field is the protection of information channels from unauthorized eavesdropping through the implementation of quantum cryptography. Quantum key distribution (QKD) represents the most advanced and well-known application of quantum cryptography. QKD utilizes quantum mechanical effects for cryptographic tasks and breaking cryptographic systems. This study aims to explore the potential of employing quantum mechanics laws to enhance the security of communication systems. The QKD system operates on a simple principle, where two parties, Alice (the sender) and Bob (the receiver), utilize individual photons randomly polarized to represent bits 0 and 1, respectively. These photons are used to transmit a series of random numbers, serving as cryptographic keys. The parties are connected via classical and quantum channels, with Alice generating a random stream of qubits transmitted through the quantum channel. By performing classical operations over the classical channel, Alice and Bob verify if any eavesdropping attempts have occurred during qubit transfer. The presence of an eavesdropper is identified through the imperfect correlation between the two sets of bits obtained after qubit transmission. A vital aspect of robust encryption schemes is the utilization of true randomness, which can be easily generated using quantum optics. Quantum communication holds promising applications in diverse sectors, including banking, government, industry, and military domains. This research seeks to investigate the possibilities of leveraging quantum mechanics laws to fortify communication systems' security.

关键词： Quantum Communication Quantum Cryptography Quantum Key Distribution (QKD) Eavesdropping Prevention Secure Communication systems

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Fully Automated Robotic Inspection of Power Generators

Fully Automated Robotic Inspection of Power Generators

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IEEE/ASME International conference on Mechtronic and Embedded systems and applications, MESA

作者： Carlo Canali Sergio Leggieri Daniele Ludovico Alessandro Pistone Federico Manara Ardit Poka Lorenzo De Mari Casareto Del Verme Iacopo Longinotti Darwin G. Caldwell Advanced Robotics (ADVR) Istituto Italiano di Tecnologia (IIT) Genova Italy RAISE Ecosystem Genova Italy Dipartimento di Ingegneria Meccanica Energetica Gestionale e dei Trasporti (DIME) Università di Genova Genova Italy

ISBN: (数字)9798331516239

ISBN: (纸本)9798331516246

To face both the ageing of power generators and their stress, the inspection of power generators is a critical task necessary to prevent damages and keep the performance and efficiency at their nominal level. In this context, robotic inspection can play a crucial role since it allows a quick and efficient method to acquire data on the status of generators within a short time. This paper describes an innovative robotic system composed of a crawler robot and an automatic positioning system able to move the robot radially along the power generator. Thanks to a novel multi-sensor analysis method, this robotic system can inspect and evaluate the overall status of power generators. The inspection system combines several sensors on board a crawler robot to detect insulation failures, mechanical damages or other defects. This work describes a mechatronic system that can perform a completely automated inspection of power generators. The robotic system is extremely flexible and can be adapted to various power generators.

关键词： Mechanical sensors Mechatronics Crawlers Inspection Stators Robot sensing systems Generators sensor systems Maintenance Stress

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Extraction of Point-of-Interest in Multispectral Images for Face Recognition

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INTERNATIONAL JOURNAL OF advanced COMPUTER SCIENCE AND applications 2022年第2期13卷 785-796页

作者： Katakpe, Kossi Kuma Aksas, Lyes Mamadou, Diarra Gouton, Pierre Univ Abomey Calavi UAC Inst Math & Sci Phys IMSP Porto Novo Benin Burgundy Univ UFR Sci & Technol IEM Dept ImVia Lab Color Sensor & Multispectral Imaging Dijon France Univ Felix Houphouet Boigny UFR Math & Informat Abidjan Cote Ivoire

Security systems in companies, airports, enterprises, etc. face numerous challenges. Among the major ones there is objects or face recognition. The problem with the robustness of recognition systems that usually affects color images nowadays can be addressed by multispectral image acquisition in the near infrared range with cameras equipped with new high performance sensors able to take images in dark or uncontrolled environments with much more accuracy. Multispectral CMOS (Complementary Metal Oxide Semi-conductor) sensors in a single shot record several wavelengths that are isolated and allow very specific analyses. They are equipped with new acquisition methods and provide observations that are more accurate. The current generation of these imaging sensors involve scientific and technical interest because they provide much more information than those that operate in visible range;precise nature and spatiotemporal evolution of the areas need to be analyzed. In this study, multispectral images acquired by camera equipped with a hybrid sensor operating in near infrared has been used. This camera is built in the ImViA laboratory of the University of Bourgogne as part of the European project ExIST (Extended Image Sensing Technologies). The process involved in image acquisition, image mosaicing and image demosaicing by using mosaic filters. After acquisition process the interest points be extract in these bands of images in order to know how information is shared out all over the bands. The results were satisfactory because information is spread all over the images bands and the algorithms used also have detected many interest points. Based on the results, a large database can be set up for a face recognition system building.

关键词： Multispectral image hybrid sensor image mosaicing image demosaicing mosaic filter

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SiC coated Hastelloy x via wet chemistry for Corrosion Protection in Energy applications 20

SiC coated Hastelloy X via wet chemistry for Corrosion Prote...

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20th International Bhurban conference on Applied Sciences and Technology (IBCAST)

作者： Hussain, Zain Shabbir, Altamash Khan, Zuhair S. Natl Univ Sci & Technol Ctr Adv Studies Energy Islamabad Pakistan Univ Wah Off Res Innovat & Commercializat ORIC Wah Cantt Pakistan

ISBN: (纸本)9798350308266;9798350308259

The iodine sulfur cycle, which is used for hydrogen production, requires materials that can withstand the corrosive properties of sulfuric acid at high temperatures. To address this, researchers explored the use of a silicon carbide (SiC) coating on Hastelloy x (Hx) through a wet chemistry process. This coating method was considered a cost-effective alternative to physical vapor deposition (PVD) coatings. The researchers conducted immersion tests on the coated specimens and compared them with bare and PVD-coated samples in previous studies. The results showed that the SiC-coated Hx exhibited the best corrosion resistance among the different samples when exposed to 98 wt% sulfuric acid at a temperature of 120.. The presence of the SiC coating on the sample was confirmed using Fourier transform infrared spectroscopy (FTIR), and the morphology of the coated sample was examined using an optical microscope. The images obtained from the microscope analysis showed no changes in the sample's morphology after the corrosion testing. Further structural analysis of the coated samples revealed the presence of SiC-SiO2 after annealing. The presence of silicon dioxide (SiO2) contributed to the improved corrosion resistance of the coated sample.

关键词： Iodine sulfur cycle Corrosion resistance Silicon carbide Hastelloy x Silicon dioxide

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