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检索条件"任意字段=Conference on Advanced Sensor Systems and Applications X"

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Comparison of Sparkfun TRIAD AS7265x spectroscopy sensor device with a Spectrophotometer for qualitative and quantitative analysis 4

Comparison of Sparkfun TRIAD AS7265x spectroscopy sensor dev...

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4th International conference on Computing and Communication systems, I3CS 2023

作者： Daurai, Bethuel Ramchiary, Shrimanta Sundar Gogoi, Manashjit North-Eastern Hill University Department of Biomedical Engineering Shillong India

ISBN: (纸本)9798350323771

Sparkfun AS7265x is a reflectance spectroscopy sensor with a wide range of wavelengths falling in UV, Visible and IR ranges. Using this sensor, a small device was developed by assembling it with Arduino Uno to make a portable spectroscopic device. A casing was designed to encase a quartz cuvette for holding the sample. The sensor module was also put in the same case. A 16 × 2$ LCD display was integrated with the system to display the output. The reading was also observed through serial communication in the computer. The sensor could give a reading from 410 nm to 940 nm in a matter of seconds. In this range, qualitative and quantitative analysis was made. The device was then compared with a commercial UV vis spectrophotometer (Inkarp Sican 2301) with the same quantitative and qualitative test for the spectrophotometric analysis of KMnO4 solution. The Triad sensor has a lower resolution as compared to that of a spectrophotometer. It could only detect with an interval of 25 nm to 50 nm. The comparison showed that the device developed can be used for specific tests. In the quantification test of KMnO4, an R2 value of 0.9907 was achieved. This experimental design showed that applications could be extended to Point-of-Care devices for application in healthcare where spectrophotometric analysis is necessary with the combinations of reagents. It can also be combined with biosensors for accurate readout of diseases. © 2023 IEEE.

关键词： Spectrophotometers

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Mechanical modeling of a ring-type fingertip force sensor

Mechanical modeling of a ring-type fingertip force sensor

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2022 IEEE International conference on systems, Man, and Cybernetics, SMC 2022

作者： Okuyama, Takeshi Sugimoto, Tomoki Tanaka, Mami Tohoku University Department of Robotics Miyagi Japan Tohoku University Graduate School of Biomedical Engineering Miyagi Japan

ISBN: (数字)9781665452588

ISBN: (纸本)9781665452588

In this paper, focusing on the relationship between tendon tension and force applied to the fingertip, we develop a ring-type sensor that estimate fingertip force from tendon tension. To establish the measurement principle, mechanical models were constructed in three steps for sensor structure, deformation of finger and sensor, and finger kinematics. By integrating those mechanical relationships, we derived a relation expression between ring-type sensor output and fingertip force. In addition, we conducted experiments in which the developed ring-type fingertip force sensor was attached to the index finger and force was applied to the fingertip. As the results, it was confirmed that the fingertip force could be estimated by using the derived relational expressions both when the finger was extended and when it was bent. The results showed the validity of the mechanical models and the effectiveness of the sensor. These results provide important insights that will be useful for future sensor design and applications. © 2022 IEEE.

关键词： Tendons

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advanced Diagnostic Detectors for Rogue Phenomena, Single-Shot applications 8

Advanced Diagnostic Detectors for Rogue Phenomena, Single-Sh...

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Real-time Measurements, Rogue Phenomena, and Single-Shot applications VIII 2023

作者： Caselle, M. Bielawski, S. Chilingaryan, S. Czwalinna, M.K. Dritschler, T. Kopmann, A. Kunakovskaya, E. Manzhura, O. Funkner, S. Niehues, G. Patil, M.M. Roussel, E. Santamaria Garcia, A. Scomparin, L. Steffen, B. Steinmann, J.L. Szwaj, C. Bründermann, E. Müller, A.-S. Ulusoy, A.C. Weber, M. Frank, S. Hermann-von-Helmholtz-Platz 1 Eggenstein-Leopoldshafen Germany LilleF-59000 France Deutsches Elektronen-Synchrotron DESY Notkestr. 85 Hamburg22607 Germany

ISBN: (纸本)9781510659179

The detection of rapid dynamics in diverse physical systems is traditionally very difficult and strongly dominated by several noise contributions. Laser mode-locking, electron bunches in accelerators, and optical-triggered phases in materials are events that carry important information about the system from which they emerge. By detecting single-shot spectra with high repetition rates over long-time scales, new possibilities and applications to diagnose, control and tailor the spectral dynamics of lasers and electron beams in synchrotron and free-electron laser (FEL) accelerators open up. This contribution focuses on the latest developments of real-time, single-shot, high-repetition-rate detectors and data acquisition systems, with a special focus on emerging technologies and new possibilities in the diagnostics of rogue optical signals. © 2023 SPIE.

关键词： Electrons

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Enabling the next generation of Keck AO with the real time controller upgrade 9

Enabling the next generation of Keck AO with the real time c...

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conference on Adaptive Optics systems Ix

作者： Marin, Eduardo Chin, Jason C. Y. Cetre, Sylvain Wizinowich, Peter Ragland, Sam Wetherell, Ed Surendran, Avinash Bouchez, Antonin Delorme, Jacques-Robert Lilley, Scott Lyke, James Service, Maxwell Tsubota, Kevin Correia, Carlos van Dam, Marcos Biasi, Roberto Pataunar, Christian Pescoller, Dietrich Glazebrook, Karl Jameson, Andrew Gauvin, Will Rigaut, Francois Gratadour, Damien Bernard, Julien WM Keck Observ Waimea HI 96743 USA Wakea Consulting Grenoble France Space Odt Porto Portugal Flat Wavefronts Christchurch New Zealand Microgate Srl Bolzano Italy Swinburne Univ Technol Melbourne Vic Australia Australian Natl Univ Canberra ACT Australia Univ PSL Sorbonne Univ Univ Paris Cite LESIAObervatorie Paris Paris France

ISBN: (纸本)9781510675186;9781510675179

The Real Time Controllers (RTCs) for the W. M. Keck Observatory Adaptive Optics (AO) systems have been upgraded from a Field Programmable Gate Array (FPGA) to a Graphics Processing Unit (GPU) based solution. The previous RTCs, operating since 2007, had reached their limitations after upgrades to support new hardware including an Infra-Red (IR) Tip/Tilt (TT) Wave Front sensor (WFS) on Keck I and a Pyramid WFS on Keck II. The new RTC, fabricated by a Microgate-led consortium with SUT leading the computation engine development, provides a flexible platform that improves processing bandwidth and allows for easier integration with new hardware and control algorithms. Along with the new GPU-based RTC, the upgrade includes a new hardware Interface Module (IM), new OCAM2K EMCCD cameras, and a new Telemetry Recording Server (TRS). The first system upgrade to take advantage of the new RTC is the Keck I All-sky Precision Adaptive Optics (KAPA) Laser Tomography AO (LTAO) system, which uses the larger and more sensitive OCAM2K EMCCD camera, tomographic reconstruction from four Laser Guide Stars (LGS), and improvements to the IR TT WFS. On Keck II the new RTC will enable a new higher-order Deformable Mirror (DM) as part of the HAKA (High order advanced Keck Adaptive optics) project, which will also use an EMCCD camera. In the future, the new RTC will allow the possibility for new developments such as the proposed 'IWA (Infrared Wavefront sensor Adaptive optics) system. The new RTC saw first light in 2021. The Keck I system was released for science observations in late 2023, with the Keck II system released for science in early 2024.

关键词： Adaptive Optics Real Time Controller Wavefront sensor Keck

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Comparison between three scanning systems for laser cutting of airbag materials

Comparison between three scanning systems for laser cutting ...

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conference on Laser plus Photonics for advanced Manufacturing

作者： Dogaru, Nicolae Negrei, Pavel-Bogdan Duma, Virgil-Florin SC Autoliv Romania SRL Str Tapiei 61 Lugoj 305500 Romania Polytech Univ Timisoara Doctoral Sch 1 Mihai Viteazu Ave Timisoara 300222 Romania Aurel Vlaicu Univ Arad Optomechatron Grp 3OM 2 Elena Dragoi Str Arad 310177 Romania Polytech Univ Timisoara Fac Elect Telecommun & Informat Technol 2 Vasile Parvan Ave Timisoara 300223 Romania Natl Univ Sci & Technol POLITEHN Bucharest Ctr Res & Dev Mechatron Splaiul Independentei 313Sect 6 Bucharest Romania

ISBN: (纸本)9781510673298;9781510673281

The automotive industry has made significant advancements regarding the safety technology. Thus, airbags play a pivotal role in protecting passengers during accidents, therefore saving more lives and preventing serious injuries. The precise cutting of airbag textile materials is one of the important processes for ensuring the effectiveness and performance of such equipment. The aim of this work is to compare three scanning systems employed for CO2 laser cutting of airbag textile material in the automotive sector: (i) a plotter system (i.e., a traditional laser cutting setup with a fixed cutting bed);(ii) fixed 2D galvanometer scanner (GS), commonly used for laser cutting in more compact and automated environments;(iii) mobile 2D GS, with an increased portability and versatility in comparison to the previous solution. These three systems have been installed and utilized in an industrial facility for airbags manufacturing. The pecific parameters, advantages and drawbacks of each system for the targeted application have been compared. Examples of applications are presented - from the industrial site where we have implemented and utilized them. The choice between different such scanning systems for laser manufacturing are discussed in the trade-off between quality and productivity.

关键词： laser scanning CO2 laser airbag textiles automotive industry laser cutting industrial process laser manufacturing galvanometer scanner 2D scanning plotter system

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Gideon-TS: Efficient Exploration and Labeling of Multivariate Industrial sensor Data 24

Gideon-TS: Efficient Exploration and Labeling of Multivariat...

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24th International conference on Enterprise Information systems (ICEIS)

作者： Langer, Tristan Welbers, Viktor Meisen, Tobias Univ Wuppertal Chair Technol & Management Digital Transformat Lise Meitner Str 27-31 D-42119 Wuppertal Germany

ISBN: (纸本)9789897585692

Modern digitization in industrial production requires the acquisition of process data that is subsequently used in analysis and optimization scenarios. For this purpose, the use of machine learning methods has become more and more established in recent years. However, training advanced machine learning models from scratch requires a lot of labeled data. The creation of such labeled data is a major challenge for many companies, as the generation process cannot be fully automated and is therefore very time-consuming and expensive. Thus, the need for corresponding software tools to label complex data streams, such as sensor data, is steadily increasing. Existing contributions are not designed for handling large datasets and forms common for industrial applications, and offer little support for the labeling of large data volumes. For this reason, we introduce Gideon-TS - an interactive labeling tool for sensor data that is tailored to the needs of industrial use. Gideon-TS can integrate time series datasets in multiple modalities (univariate, multivariate, samples, with and without timestamp) and remains performant even with large datasets. We also present an approach to semi-automatic labeling that reduces the time needed to label large volumes of data. We evaluated Gideon-TS on an industrial exemplary use case by conducting performance tests and a user study to show that it is suitable for labeling large datasets and significantly reduces labeling time compared to traditional labeling methods.

关键词： Labeling Time Series Analysis sensor Data Visual Analytics

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Migrating Deep Learning Data and applications among Kubernetes Edge Nodes 23

Migrating Deep Learning Data and Applications among Kubernet...

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23rd IEEE International conference on High Performance Computing and Communications, 7th IEEE International conference on Data Science and systems, 19th IEEE International conference on Smart City and 7th IEEE International conference on Dependability in sensor, Cloud and Big Data systems and applications, HPCC-DSS-SmartCity-DependSys 2021

作者： Mangkhangcharoen, Suchanat Haga, Jason Rattanatamrong, Prapaporn Thammasat University Department of Computer Science Pathum Thani Thailand National Institute of Advanced Industrial Science and Technology Tsukuba Japan

ISBN: (纸本)9781665494571

Many current IoT applications deployed at the edge use deep learning (DL) in their real-time processing and analytics. Not only inference but also training is moving to edge devices. DL application and dataset migration among these devices are mandatory for scenarios like node failure, user mobility or when nodes need to collaborate (e.g., distributed training). Container technologies and Kubernetes (K8s) are being increasingly adopted to manage infrastructure at the edge. Unfortunately, there is no built-in mechanism in K8s to support migration of stateful containers between its cluster nodes. The K8s cluster's master node generally launches a new fresh container in another node to replace the failed one. While there is an existing mechanism for migrating a Pod between K8s nodes, there is no past work investigating the migration of DL datasets and containerized DL applications among K8s cluster nodes. In this paper, we present our 1) comprehensive study on the effectiveness and limitations of existing checkpointing mechanisms for containerized DL applications and 2) our comparative performance study of several approaches in migrating DL datasets and applications in a K8s cluster. Our results show that migrating states of DL applications and restoring them from their previous states enables faster recovery (reducing training time by 10 to 73 percent) than re-running these models from the beginning regardless of the percentage of epochs that have completed. Additionally, our experimental results show that transferring a dataset between K8s workers using the K8s persistent volume with kubectl cp is generally suitable and efficient. However, when network latency is high, using our customized middleware with a feedback controller to migrate data in parallel can speed up total migration time compared to the K8s's persistent volume approach alone. © 2021 IEEE.

关键词： Training Deep learning Checkpointing Computers Containers Real-time systems Internet of Things

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A PRACTICAL CALIBRATION METHOD FOR CAMERAS AND MULTIPLE LINE-LASERS IN LIGHT SECTIONING systems FOR UNDERWATER ENVIRONMENTS 31

A PRACTICAL CALIBRATION METHOD FOR CAMERAS AND MULTIPLE LINE...

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2024 International conference on Image Processing

作者： Ikeda, Takaki Iwaguchi, Takafumi Thomas, Diego Kawasaki, Hiroshi Kyushu Univ Informat Sci & Elect Engn Fukuoka Fukuoka Japan

ISBN: (纸本)9798350349405;9798350349399

In recent years, the increasing demand for underwater 3D measurement for various applications has brought about challenges such as low accuracy in 3D shape acquisition and difficulties in localizing sensor positions. This paper introduces a robust calibration method for underwater 3D sensors, comprising line lasers and cameras, utilizing a physically accurate model. Specifically, our proposed line laser calibration method estimates laser plane parameters using two types of planar constraints, avoiding the need for the costly process of backward-projection of refraction for optimization. For camera calibration, we advocate a two-step approach incorporating a simple yet effective deep-learning-based marker detection algorithm to estimate parameters of refraction, representing a physically correct lens model. Through experiments, we validate the superior performance of our methods over previous approximation-based approaches, as demonstrated in simulations and actual experiments conducted in a swimming pool.

关键词： Underwater 3D scan ROV camera and laser calibration light-sectioning method

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Lower index liquid chemical detection by using photonic crystal fiber sensor

Lower index liquid chemical detection by using photonic crys...

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International conference on advanced Materials for Innovation and Sustainability (ICAMIS)

作者： Kumar, Sudhir Kumar, Dilip Sant Longowal Inst Engn & Technol Dept Elect & Commun Engn Longowal 148106 Punjab India

In this paper a novel hollow core photonic crystal fiber (PCF) sensor is presented which provides extremely high sensitivity and low confinement loss for liquid and chemical sensing applications. We examined the efficiency of the proposed PCF structure for liquids with wide range of refractive indices i.e., 1.484-1.534. The numerical investigation of the PCF is executed by the finite element method (FEM). The structure is designed by considering circular airhole in the core instead of an elliptical airhole to decrease the fabrication complexity. The investigation is carried out for a wide wavelength range from 0.8 to1.8 mu m. In the simulation results based on FEM, we observed that the constructed PCF offers a high sensitivity of 95.64%, 96.20%, and 98% while low confinement loss of 1.13 x 10(-16) dB/m, 8.5 x 10(-17) dB/m and 5.3 x 10(-17) dB/m respectively for n = 1.484, n = 1.5 and n = 1.534 at 1.3 mu m operating wavelength. Thus, the proposed PCF can be used widely for liquid chemical detection in biosensing and commercial applications. Copyright (c) 2022 Elsevier Ltd. All rights reserved. Selection and peer-review under responsibility of the scientific committee of the International conference on advanced Materials for Innovation and Sustainability.

关键词： Optical fiber PCF Hollow core FEM Liquid sensing Refractive index Materials

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IoT-Based Safety Monitoring and Alerting System for Coal Mines

IoT-Based Safety Monitoring and Alerting System for Coal Min...

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Intelligent systems and advanced applications (ICISAA), International conference on

作者： Rajashree Bhokare Anshu Sharma Pankaj Kumar Akanksha Tayade Dipali Wani Rupali Chaudhari Department of Electrical Engineering DIT Pimpri Pune

ISBN: (数字)9798331539948

ISBN: (纸本)9798331539955

Coal mining is the process of extracting coal from the surface of the earth. Many skilled workers and labourers have died because of there is no early warning system in traditional coal mines and which causes more coal mine accidents. Therefore, in present generation the major challenge is the safety of the mining workers. Thus, the mine safety system should be in such a way that it can provide an immediate alert before any disaster happens. This paper proposes a system which enhance the safety of workers in underground mines by interfacing the different sensors with the help of IOT module. After collecting all the sensor values, they are transmitted to the Arduino, which generates an alert based on the threshold value. This helps the workers recognize that there is a potential problem ahead. For this purpose, a cost-effective IOT-based coal mining and alerting system is immensely helpful for coal mine employees and anyone who is working the coal mine industry.

关键词： Wireless sensor networks Wireless networks Surveillance Robot sensing systems Software sensor systems Coal mining Fuel processing industries Servers Surface treatment

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