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检索条件"任意字段=International Conference on Sensor Technologies and Applications, SensorComm"

共 9453 条记录，以下是1401-1410 订阅

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Therapeutic Innovative Rehabilitation Tools: Treadmill and Pedal machines for Children with Physical Impairments

Therapeutic Innovative Rehabilitation Tools: Treadmill and P...

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Soft Computing for Security applications (ICSCSA), international conference on

作者： Sujitha S Suprith U P. Vamshi Krishna Keerthana R Kalpana Chawla S Bhuvan Gowda SS Department of Electrical and Electronics Engineering New Horizon College of Engineering Affiliated to VTU Belagavi India

ISBN: (数字)9798331515720

ISBN: (纸本)9798331515737

The application of therapeutic treadmills and foot pedals in the rehabilitation of physically disabled children has demonstrated considerable promise in enhancing motor skills, cardiovascular health, and overall physical well-being. This abstract explores the combined advantages and uses of these therapeutic devices in pediatric rehabilitation. Therapeutic treadmills, equipped with customizable support and safety features, aid in improving gait, balance, and muscle strength. Foot pedals, intended for use in seated positions, offer a low-impact method to activate lower limb muscles and enhance coordination. Recent research indicates that integrating treadmills and foot pedals can yield substantial improvements in motor function, cardiovascular fitness, and psychological well-being. The inclusion of advanced technologies such as sensors, virtual reality, and biofeedback systems further optimizes the therapeutic experience, making rehabilitation more engaging and effective. This review emphasizes the necessity of personalized therapy programs, interdisciplinary collaboration, and ongoing research to maximize outcomes for physically disabled children. Leveraging these advanced therapeutic tools and technologies holds significant potential for enhancing quality of life and functional independence in this demographic.

关键词： Reviews Psychology Virtual reality Muscles Motors sensor systems sensors Safety Security Foot

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Research on Quality Monitoring System of Industrial Circulating Cooling Water Based on Cloud Platform

Research on Quality Monitoring System of Industrial Circulat...

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international conference on Computer Engineering and applications (ICCEA)

作者： Li Liu Jiexia Yang Intelligent Manufacturing Department Anhui Vocational and Technical College Hefei China

ISBN: (数字)9798350386776

ISBN: (纸本)9798350386783

Aiming at solving the problems of water quality detection of industrial circulating cooling water, a cloud platform based online monitoring system for industrial circulating cooling water was designed using multiple technologies such as sensors, embedded systems, and cloud platforms. The system design mainly involves selecting core detection parameters that can basically characterize the water quality of the circulating cooling water, collecting data through corresponding sensors, transmitting it to the microcontroller for processing, and then connecting to the cloud platform using the MQTT protocol through the ESP8266 wireless communication module to establish an online monitoring system. The system can achieve real-time display of data, historical records, abnormal alarms, data downloads, and other functions. It has the advantages of high parameter collection efficiency, real-time transmission, and intuitive remote monitoring images, and has high application value.

关键词： Wireless communication Embedded systems Cooling Water quality sensor phenomena and characterization Real-time systems sensor systems

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Gesture Recognition and Human-Computer Interaction for User Control applications Using Embedded sensors

Gesture Recognition and Human-Computer Interaction for User ...

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Smart technologies for Sustainable Development Goals (ICSTSDG), international conference on

作者： Ramakrishnan Raman R. Meenakshi Ramya. R Meenakshi Kaul S. Srinivasan A. Prabha Symbiosis Institute of Business Management Pune & Symbiosis International (Deemed University) Pune Maharashtra India Department of Computer Science and Engineering Chennai Institute of Technology Chennai Tamil Nadu India Department of Computing Technologies Faculty of Engineering and Technology School of Computing SRM Institute of Science and Technology Kattankulathur Tamil Nadu India Symbiosis Law School Noida Uttar Pradesh Symbiosis International (Deemed University) Pune Maharashtra India Department of Biomedical Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Chennai Tamil Nadu India Department of Electrical and Electronics Engineering S.A. Engineering College (Autonomous) Chennai Tamil Nadu India

ISBN: (数字)9798331516284

ISBN: (纸本)9798331516291

Gesture recognition and human-computer interaction (HCI) have garnered interest recently because they can provide intuitive and natural interfaces for several applications. This paper proposes real-time gesture detection and HCI technique using embedded sensors. Our method uses integrated sensors and machine learning techniques to recognize gestures without extra equipment or complicated setups. Real-time gesture detection is achieved by carefully placing integrated accelerometers and gyroscopes on the person or surroundings. These sensors send user motions to a central processing unit. The system employs deep neural networks to analyze sensor data and properly detect motions. It evaluates our system using numerous user gestures in trials. Our approach accurately recognizes several motions in real-time. Our system's accuracy and efficiency outperform existing gesture recognition algorithms. Our technology also controls virtual reality, interactive gaming, and smart home automation. Real-time gesture detection makes HCI smooth and immersive. This eliminates traditional input devices and makes interactions more natural. The suggested approach is portable, inexpensive, and requires little hardware. Embedded sensors may assist wearable devices, IoT systems, and smart surroundings without extra hardware. Finally, integrated sensors enable real-time gesture detection and HCI. Our framework perceives motions with accuracy, productivity, and adaptability. HCI integration allows intuitive and natural interactions in many disciplines. This work advances gesture detection and HCI technologies to improve user experiences.

关键词： Human computer interaction Accuracy Gesture recognition Virtual reality Machine learning Real-time systems sensor systems sensors Gyroscopes Intelligent sensors

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A Blockchain-Based Privacy-Preserving Model for IoMT Medical Systems

A Blockchain-Based Privacy-Preserving Model for IoMT Medical...

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Blockchain Computing and applications (BCCA), international conference on

作者： Afnan Alsadhan Hessah Alsalamah Areej Alhogail Information Systems Department King Saud University Riyadh Saudi Arabia

ISBN: (数字)9798350351538

ISBN: (纸本)9798350351545

The Internet of Medical Things (IoMT) is a rapidly growing field involving the use of interconnected medical devices, sensors and systems for healthcare applications. The use of IoMT has the potential to revolutionize the healthcare industry by improving patient medication outcomes, increasing efficiency and reducing costs. However, the widespread adoption of IoMT also raises concerns about privacy and security, as it involves collecting, processing and sharing sensitive medical data. One of the main challenges in IoMT lies in ensuring the privacy and security of medical data while enabling the necessary data sharing and analysis to support healthcare applications. To address the limitations and ongoing challenges in this field, this paper presents a state-of-the-art system that utilizes permissioned blockchain and fully homomorphic encryption optimization to preserve medical data privacy in IoMT systems. The application of hybrid data classification before encryption is proposed, as this would enhance privacy and reduce processing time. For the Saudi healthcare sector, this hybrid classification model will involve a combination of the Health Insurance Portability and Accountability Act (HIPPA) identifiers and the Saudi Authority for Data and Artificial Intelligence (SDAIA) personal data protection standards. The latest technologies will be utilized in this research to achieve the highest level of performance and enhance data privacy.

关键词： Data privacy Privacy Protocols Medical services sensor systems and applications Blockchains Homomorphic encryption Protection Standards Optimization

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Comprehensive angular scattering distribution analysis for resource-efficient manufacturing 56

Comprehensive angular scattering distribution analysis for r...

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56th CIRP international conference on Manufacturing Systems, CIRP CMS 2023

作者： Eifler, Matthias Brodmann, Boris Linke, Barbara Müller, Alexander Seewig, Jörg IU International University Juri-Gagarin-Ring 152 Erfurt99084 Germany Institute for Measurement and Sensor-Technology Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau Gottlieb-Daimler Straße 44 Kaiserslautern67663 Germany Optosurf GmbH Nobelstraße 9-13 EttlingenD-76275 Germany Manufacturing and Sustainable Technologies Research Laboratory University of California Davis 1 Shields Ave DavisCA95616 United States

Most measuring principles for surface topography measurement cannot be broadly used within machine tools due to the rough environment featuring vibrations, dust, cooling liquid, or temperature gradients. Having to measure outside of the machine tool results in large quality control loops. The angular-resolved scattering light sensor is an established measuring principle which can be used directly in the manufacturing environment and thus allows small quality control loops and a resource-efficient manufacturing since deviations in the manufacturing process can be detected almost immediately. For the evaluation of the surface characteristics, the angular distribution of the surface within a lightspot is typically characterized by its center of gravity (M-parameter) and its variance (Aq-parameter) as described in the guideline VDA 2009. These two parameters provide only little information about the angular distribution and the workpiece quality and for certain, function-oriented applications and expanded data analysis can be beneficial to allow the monitoring in more manufacturing systems with high benefitss for resource-efficient manufacturing. We suggest using additional parameters of the angular distribution and perform a correlation analysis with the machining parameters of an exemplified manufacturing process to find parameters that feature a more pronounced correlation with the process parameters than Aq and thus allow an improved monitoring of the manufacturing process in this paper. The example process chosen is a grinding process with different tool grit sizes, tool surface speeds, feed rates, and coolant air flow power. With this case study it can be demonstrated how a more comprehensive analysis of the scattering of surface angles can lead to an improved process monitoring since the correlation between the process parameters and the parameters of the angular distribution shows how sensitively different deviations in the process can be detected, e.g. when the

关键词： correlation analysis inline metrology roughness scattering light

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Characterize Fracture Development Through Strain Rate Measurements by Distributed Acoustic sensor DAS

Characterize Fracture Development Through Strain Rate Measur...

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2022 SPE international Hydraulic Fracturing Technology conference and Exhibition, IHFT 2022

作者： Tang, Jin Zhu, Ding Texas A&M University United States

ISBN: (纸本)9781613997307

In multistage hydraulic fracturing treatments, the combination of extreme large-scale pumping (high rate and volume) and the high heterogeneity of the formation (because of large contact area) normally results in complex fracture growth that cannot be simply modeled with conventional fracture models. Lack of understanding of the fracturing mechanism makes it difficult to design and optimize hydraulic fracturing treatments. Many monitoring, testing and diagnosis technologies have been applied in the field to describe hydraulic fracture development. Strain rate measured by distributed acoustic sensor (DAS) is one of the tools for fracture monitoring in complex completion scenarios. DAS measures far-field strain rate that can be of assistance for fracture characterization, cross-well fracture interference identification, and well stimulation efficiency evaluation. Many field applications have shown DAS responses on observation wells or surrounding producers when a well in the vicinity is fractured. Modeling and interpreting DAS strain rate responses can help quantitatively map fracture propagation. In this work, a methodology is developed to generate the simulated strain-rate responds to assumed fracture systems. The physical domain contains a treated well that the generate strain variation in the domain because of fracturing, and an observation well that has fiber-optic sensor installed along it to measure the strain rate responses to the fracture propagation. Instead of using a complex fracture model to forward simulate fracture propagation, this work starts from a simple 2D fracture propagation model to provide hypothetical fracture geometries in a relatively reasonable and acceptable range for both single fracture case and multiple fracture case. Displacement discontinuity method (DDM) is formulated to simulate rock deformation and strain rate responds on fiber-optic sensors. At each time step, fracture propagation is first allowed, then stress, displacement and st

关键词： Strain rate

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The Future of Blockchain Technology and the Internet of Things in Healthcare

The Future of Blockchain Technology and the Internet of Thin...

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2022 international conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems, ICSES 2022

作者： Saxena, Niti Chakravarthi, Dhruva Sreenivasa Venkatesh, A. Narasima Soni, Nupur Kant, Shashi Jagannath International Management School New Delhi India Koneru Lakshmaiah Education Foundation Deemed to Be University Prashanth Hospital Vijayawada & Research Scholar KL Business School AP India ISBR Business School Department of HR and General Management Bangalore India Babu Banarsi das University Computer Applications Uttar Pradesh Lucknow India Chandigarh University UILAH Punjab India

ISBN: (数字)9781665474139

ISBN: (纸本)9781665474139

Using body sensor networks and other wearable sensors to practise for emergencies is becoming more and more common. If privacy and safety of patients are protected in healthcare systems, then using technology may be helpful. Block chain technology has quickly become a popular research topic on websites like Wikipedia and Google. We look at developments and ideas in the Internet of Things that can be used in the vast majority of situations. The healthcare business has a lot of good reasons to use the Block chain. It has everything that people want: decentralisation, immutability, security, privacy, and being open to everyone. The vast majority of the research is focused on these parts. As part of a plan to improve the efficiency of health care services, the Internet of Things (IoT) and other cutting-edge computer technologies were used. In the next section, the application is explained in great detail. It's no secret that medical professionals are looking into the potential of the Internet of Things (IoT) and Block Chain technology in the areas of medication tracking, remote patient monitoring, storing and retrieving medical data, and managing patient medical records. Also, it's important to note that the challenges of using IoT and blockchain technologies in healthcare systems have been well researched and are now being talked about. © 2022 IEEE.

关键词： Blockchain

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Bluetooth-Enabled Smart Juicebot Controlled via Mobile App

Bluetooth-Enabled Smart Juicebot Controlled via Mobile App

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international conference on Advanced Information technologies (ICAIT)

作者： Htet Paing Linn Htet Myet Zaw Aung Kaung Myat May Pearl Khin Shun Lae Thu Tha Pyay Win University of Information Technology Yangon Myanmar Hardware Lab University of Information Technology Yangon Myanmar

ISBN: (数字)9798331510046

ISBN: (纸本)9798331510053

The increasing demand for automation in food and beverage industries has led to the development of devices that can efficiently handle tasks such as drink preparation. This paper presents the design and assembly of an Arduino-based automated Juicebot, aimed at automating the beverage-making process. Juicebot is designed to serve a diverse range of juice combinations, offering users the flexibility to choose from different flavors and create custom mixes. The system incorporates components such as stepper motor, ultrasonic sensors, Bluetooth module, and servo motors, which work together to create a seamless, user-friendly experience. Controlled remotely via a mobile application, Juicebot offers not only convenience but also precision, hygiene, and customization. It is a cost-effective solution for small and medium-sized businesses looking to improve efficiency and customer engagement. The paper discusses the hardware and software design, system flow, testing, and potential future improvements to the system.

关键词： Software design Bluetooth sensor systems Hardware Mobile applications sensors Servomotors Information technology Testing Business

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Towards Avalanche Victims Detection: Integrating Kalman Filter and Consensus Methods in Aircraft Formations for Post-Avalanche Scenarios

Towards Avalanche Victims Detection: Integrating Kalman Filt...

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international conference on Control, Decision and Information technologies (CoDIT)

作者： Salvatore Rosario Bassolillo Department of Science and Technology University of Naples "Parthenope" Napoli Italy

ISBN: (数字)9798350373974

ISBN: (纸本)9798350373981

Unmanned Aerial Vehicles (UAVs) have experienced considerable expansion in civilian applications thanks to their operational simplicity and versatility. This document introduces a distributed navigation strategy tailored for UAV formations in conducting post-avalanche search-and-rescue operations. The deployment of UAV formations is identified as a interesting approach with respect to individual UAV operations in environments characterized by dynamism and complexity. This configuration simplifies the allocation of several and different sensors across the formation, reducing the payload on single vehicles, enhancing robustness, and improving overall operational efficiency. The proposed navigation algorithm involves a consensus-based Kalman filter for distributed state estimation. The efficacy of this method was validated through its application in a realistic scenario, demonstrating the capability to identify several victims and preserve situational awareness while circumventing areas yet to be searched. This approach is presented as a viable substitute for search-and-rescue missions that traditionally require significant human involvement.

关键词： Graphics Estimation error Navigation sensor phenomena and characterization Autonomous aerial vehicles Search problems Kalman filters State estimation Aircraft Ellipsoids

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Spectrum Sensing Under Unknown Channel Division

Spectrum Sensing Under Unknown Channel Division

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Computing, Communication, Perception and Quantum Technology (CCPQT), international conference on

作者： Yirui Du Bin Li Xin Jiang Ruonan Zhang School of Computer Science and Engineering Northwestern Polytechnical University Xi'an China

ISBN: (数字)9798331528386

ISBN: (纸本)9798331528393

In recent spectrum sensing technologies, deep learning methods are receiving increasing attention, mainly due to their ability to effectively improve sensing accuracy in low signal-to-noise ratio (SNR) environments. However, most of the existing deep learning technologies rely on known channel divisions for spectrum sensing, which is often difficult to achieve in real-world applications. To address this issue, this study proposes two innovative spectrum sensing methods: multi-scale serial networks and multi-scale parallel networks. Compared to traditional methods, these two networks can perform spectrum sensing without prior knowledge of channel division, significantly improving the recognition ability of wireless signals and spectrum utilization. Simulation results show that the proposed serial and parallel networks achieve higher sensing accuracy compared to traditional CNN networks under unknown channel division conditions.

关键词： Deep learning Wireless communication Knowledge engineering Wireless sensor networks Accuracy Quantum computing Simulation sensors High frequency Signal to noise ratio

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