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检索条件"任意字段=Conference on Advanced Sensor and Control-System Interface"

共 6868 条记录，以下是1011-1020 订阅

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15th International Joint conference on Biomedical Engineering systems and Technologies, BIOSTEC 2022

15th International Joint Conference on Biomedical Engineerin...

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15th International Joint conference on Biomedical Engineering systems and Technologies, BIOSTEC 2022

The proceedings contain 362 papers. The special focus in this conference is on Biomedical Engineering systems and Technologies. The topics include: Comparing Closed-loop control of Drug Infusion using MPC and PID;brainy Home: A Virtual Smart Home and Wheelchair control Application Powered by Brain Computer interface;Incorporation of VOC-Selective Peptides in Gas Sensing Materials;study of Polymers for the Implementation of an Axial Impeller with a Central Shaft in a Ventricular Assist Device;experimental Security Analysis of Connected Pacemakers;personalized Hip Replacement: State of the Art and New Tools Proposals;the Method and Apparatus for Peripheral Arterial Disease Treatment;improved Method for Measuring the Pulse Wave Propagation Velocity for Palpable Arteries;automatic Segmentation of the Cervical Region in Colposcopic Images;a Mechatronics-twin Framework based on Stewart Platform for Effective Exploration of Operational Behaviors of Prosthetic Sockets with Amputees;pH and SpO2 Miniaturized sensors for Fetal Health Monitoring;innovative Methodology for the 3D Reconstruction of Body Geometries using Open-source Software;Tele-tDCS: A Novel Tele-neuromodulation Framework using Internet of Medical Things;novel Concept for a Mechanical In traurethral Artificial Urinary Sphincter;Post-market Clinical Follow-up (PMCF) GAP Analysis for Legacy Devices Class III between the Medical Device Directive (MDD 93/42/EEC) and the Medical Device Regulation (MDR 2017/745);Android-based ECG Monitoring system for Atrial Fibrillation Detection using a BITalino® ECG sensor;separation Microfluidic Devices Fabricated by Different Milling Processes;fourier Ptychography Microscopy Resolution Improvement Employing Refocusing;development of a Piezoelectric Micro machined Ultrasound Transducer using Micro fabrication Technology for in Vitro Neuro modulation.

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Asynchronous steady-state visual evoked potential brain-computer interface application: True and false positive rate comparison between with and without eye-tracking switch paradigms

Asynchronous steady-state visual evoked potential brain-comp...

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2021 IEEE International conference on Real-Time Computing and Robotics, RCAR 2021

作者： Xie, Jun Zhang, Huanqing Liu, Yi Fang, Peng Yu, Hongwei He, Liushi Li, Guanglin Yuan, Song Xu, Guanghua Li, Min School of Mechanical Engineering Xi'An Jiaotong University Xi'an710049 China Beijing Institute of Astronautical Systems Engineering Beijing100076 China Shenzhen Institute of Advanced Technology CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Engineering Laboratory of Neural Rehabilitation Shenzhen518055 China

ISBN: (纸本)9781665436786

Due to the bypass of muscle activity or peripheral nerve control, brain-computer interface (BCI) technique has advantages in different fields such as medical field for the rehabilitation of paralyzed patients. Steady-state visual evoked potential (SSVEP) has been widely adopted in BCI applications. SSVEP based BCIs have the advantages of high information transfer rate, less or no need of training, and strong anti-interference, which could be used in the more natural asynchronous BCI application with control of the users rather than the operant system of the synchronous mode. In order to solve the problem of high false positive rate (FPR) in common asynchronous SSVEP BCI applications, this paper proposed an eye-tracking switch based BCI paradigm to reduce the FPR and to improve the performance of the asynchronous BCI system. In the proposed paradigm, the fixation point position instead of EEG signal is used to determine whether the system is in idle state. Experimental results showed that when eye-tracking switch was applied in the asynchronous SSVEP BCI, the FPR was reduced to less than 10% and the recognition accuracy (i.e., the true positive rate, TPR) can also be improved to a certain extent, which proved the applicability of the eye-tracking switch in asynchronous BCI applications. © 2021 IEEE.

关键词： Brain computer interface

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15th International Joint conference on Biomedical Engineering systems and Technologies, BIOSTEC 2022

15th International Joint Conference on Biomedical Engineerin...

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15th International Joint conference on Biomedical Engineering systems and Technologies, BIOSTEC 2022

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DEVELOPMENT OF A ROBUST SCRUBBER LEVEL controlLER

DEVELOPMENT OF A ROBUST SCRUBBER LEVEL CONTROLLER

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ASME Turbomachinery Technical conference and Exposition (Turbo Expo) - Sustainable Energy - Accelerating the Transition by Advancing Turbine Technology

作者： Day, Carolyn M. Beck, Griffin C. Schubring, Scott A. Southwest Res Inst San Antonio TX 78238 USA Williams Houston TX USA

ISBN: (纸本)9780791885017

Gas-liquid scrubbers rely on level control systems (generally consisting of a level indicator, a level controller, and a pneumatic control valve for liquid release) to maintain an appropriate liquid level within the vessel. Scrubbers are often upstream of turbomachinery and failures at the scrubber can cause liquid ingestion or downtime. In natural gas service, these control systems are subject to harsh environments due to the influx of liquid slugs, high-velocity gases, corrosive fluids, vibrations, and a chaotic gas-liquid interface. In these severe conditions, level control system failures are commonplace and lead to safety and environmental hazards, equipment damage, and lost production. A need exists to augment or replace the typical liquid level control system with an alternative solution that is cost- effective, robust, and can operate reliably in the harsh natural gas environment. A project investigated failures related to scrubber level control systems, identified improvements to these systems, developed a prototype level controller, and tested the prototype controller and a variety of commercially available controllers at various conditions that emulated certain field conditions. The results of these test s gave insight into what type of controller may be best suited to the tested conditions and what controller options should be pursued further.

关键词： Gas Scrubber Level control Level sensor

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15th International Joint conference on Biomedical Engineering systems and Technologies, BIOSTEC 2022

15th International Joint Conference on Biomedical Engineerin...

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15th International Joint conference on Biomedical Engineering systems and Technologies, BIOSTEC 2022

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15th International Joint conference on Biomedical Engineering systems and Technologies, BIOSTEC 2022

15th International Joint Conference on Biomedical Engineerin...

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15th International Joint conference on Biomedical Engineering systems and Technologies, BIOSTEC 2022

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IoT-Based Centralized system for Street Light Automation Light and Fault Detection

IoT-Based Centralized System for Street Light Automation Lig...

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Innovations in High Speed Communication and Signal Processing (IHCSP), International conference on

作者： S. Kavitha J. V. Anchithaalagammai S. Murali P. S. Shreemathi L. Yazhinipriya Department of Computer Science and Engineering Velammal College of Engineering and Technology Tamil Nadu India

ISBN: (数字)9798350368949

ISBN: (纸本)9798350368956

Electricity is a very high-scale need for the modern world and effective public lighting infrastructure ensures safety and security in urban regions. Traditional methods of street light maintenance appear to be inefficient and cumbersome in Indian cities. The proposed system provides an "IoT-Based Centralized system for Street Light Fault Detection and Street Light Automation" to enhance the maintenance capabilities of the public lighting infrastructure. The system utilizes the advanced IoT technology understanding superior fault detection algorithms such as threshold-based activation and faults using light sensors and LED status monitoring. Such techniques enable real-time monitoring and automatic street light faults. It will help in providing data-driven insights that allow for efficient maintenance operations, prevent downtime, and control costs related to operations. This will be helpful for the line men to track down the street lights and correct them easily. Most important, it saves energy, thereby making it sustainable in the use of energy. Overall, the proposed system is a significant step ahead in the management of urban lighting with scalable solutions to enhance operational efficiency.

关键词： Costs Automation Fault detection Electricity Lighting Real-time systems sensor systems Maintenance sensors Sustainable development

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AgriSense: advanced Environmental Monitoring for Crops

AgriSense: Advanced Environmental Monitoring for Crops

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International conference on Communications and Signal Processing

作者： S Harish B Harikumaran S Vimala Prakash T. Rajalakshmi S Vasudevan Suryakala Department of Electronics and Communication Engineering SRM Institute of science and Technology Chennai India

ISBN: (数字)9798350353068

ISBN: (纸本)9798350353075

In addressing the challenges of irrigation in agriculture, the implementation of Internet of Things (IoT) technology emerges as a promising solution. The growing need for effective water management has put farmers at a disadvantage in optimizing irrigation systems to suit crop requirements while preserving resources. A smart IoT-based irrigation system that provides an effective solution to overcome these problems. By incorporating various sensors like humidity and moisture sensors with Arduino Mega, the system continuously monitors soil conditions and crop needs in real-time. Data collected from these sensors is transmitted to the cloud via IoT connectivity for analysis and storage. A user-friendly mobile application provides remote access to this data, offering insights into soil moisture levels, environmental factors, and irrigation schedules. Moreover, the app allows manual control of the irrigation system, enabling users to remotely toggle the pump on/off as required. Crucially, the microcontroller powering the system is solar-powered, enhancing sustainability and reducing dependence on external power sources. Combining IoT technology, Arduino Mega microcontrollers, and solar energy, this system represents a scalable and environmentally conscious approach to smart irrigation, addressing the pressing need for sustainable water management in agriculture.

关键词： Irrigation Microcontrollers Crops Solar energy sensor systems Internet of Things Sustainable development

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Effectiveness of Load and Photovoltaic Current Separation Function of Grid control system in Determining SVR control Parameters

Effectiveness of Load and Photovoltaic Current Separation Fu...

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IEEE PES Asia-Pacific Power and Energy Engineering conference (APPEEC)

作者： Koto Watanabe Akihisa Kaneko Yasuhiro Hayashi Yasunori Iwamoto Kazuhisa Hikoyama Hideo Nomura Tokuhiro Fukuda Hitoshi Motojima School of Advanced Science and Engineering Waseda University Tokyo Japan Chubu Electric Power Grid Co. Inc. Aichi Japan

ISBN: (数字)9798350318098

ISBN: (纸本)9798350318104

Voltage violations in distribution systems (DS) with large photovoltaic (PV) installations must be cleared. To regulate the voltage, Chubu Electric Power Grid has implemented a grid control system (GCS) that aggregates measurement information from switches with sensors, smart meters, step voltage regulators (SVRs), and on-load tap changers (OLTCs) to determine their control parameters. The GCS is characterized by its function to separate measured currents into load and PV currents for the consideration of measured power flow conditions with and without PV generation. Based on the results of numerical simulations using a real grid model, we evaluated the effect of separating functions on increasing the PV hosting capacity in this study.

关键词： Photovoltaic systems Voltage measurement Power measurement Current measurement control systems Smart meters sensor systems

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A Deep Learning based IoT Framework for Assistive Healthcare using Gesture Based interface

A Deep Learning based IoT Framework for Assistive Healthcare...

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2022 IEEE International conference on Internet of Things and Intelligence systems, IoTaIS 2022

作者： Avadut, Somayya Udgata, Siba K University of Hyderabad School of Computer and Information Sciences Hyderabad India

ISBN: (数字)9798350396454

ISBN: (纸本)9798350396454

Around the world, the number of senior citizens is increasing and shall continue to increase, and it is expected to be around 20 percent by 2050. Realizing its importance, the United Nations has identified Health and Wellness as one of the Sustainable Development Goals (SDG). The unfortunate pandemic situation due to the COVID-19 outbreak opened up new challenges for contact-less interactions and control of devices for ensuring the well being of citizens. In this paper, our main aim is to develop an intelligent framework based on a gesture-based interface that will help the senior citizens and physically challenged people interact and control different devices using only gestures. We focus on dynamic gesture recognition using a deep learning-based Convolutional Neural Network (CNN) model. The proposed system records continuous real-time data streams from non-invasive wearable sensors. This real-time continuous data stream is fragmented into data segments that are most likely to contain meaningful gesture data frames using the Adaptive Threshold Setting algorithm. The segmented data frames are provided as input to the CNN model to train, test, validate, and then classify it into predefined clusters, which are gestures. We have used the MPU6050 Inertial Measurement Unit based sensor model for collecting the data of the hand/ finger movement. The popular and widely used ESP8266 controller is used for data gathering, processing, and communicating. We created a dataset for 36 gestures, which includes ten digits and 26 English alphabets. For each gesture, a dataset of 300 samples has been created from 5 subjects of age group between 21-30. Thus, the final dataset consists of a total of 10800 samples belonging to 36 gestures. A total of six features comprising linear accelerations and angular rotation in 3-dimensional axes are used for training and validation. The proposed model can segment 93.75% of data segments correctly using the adaptive threshold selection algorithm,

关键词： Convolutional neural networks

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