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

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FishTankv2 Insights: Proactive Environmental Management with Predictive Analytics

FishTankv2 Insights: Proactive Environmental Management with...

引用

International conference on Computational Intelligence and applications (ICCIA)

作者： William P. Rey School of Information Technology Mapua University Makati City Philippines

ISBN: (数字)9798350352214

ISBN: (纸本)9798350352221

This study presents FishTankv2, an advanced Internet of Things (IoT) based smart aquarium management system designed for freshwater fish enthusiasts. FishTankv2 integrates a range of sensors to monitor critical water parameters such as ammonia, nitrite, nitrate, dissolved oxygen, pH levels, and temperature. These enhancements provide users with comprehensive insights into their aquarium's health, facilitating proactive maintenance and care. The system features a mobile application that allows users to remotely monitor and control their aquariums, offering functionalities such as real-time parameter tracking, automated feeding, and maintenance reminders. A key innovation in FishTankv2 is the incorporation of predictive analytics, which utilizes machine learning algorithms to forecast potential issues based on historical data. This enables timely interventions to prevent adverse conditions, ensuring a stable and healthy environment for aquatic life. User feedback collected through surveys and usability testing indicates high satisfaction with the system's intuitive interface, comprehensive monitoring capabilities, and predictive alert features. Comparative analysis shows that FishTankv2 outperforms many existing smart aquarium systems in terms of sensor integration, predictive analytics, and overall user experience. The study concludes that FishTankv2 effectively meets its objectives of enhancing aquarium management through advanced technology, making it a valuable tool for both novice and experienced aquarium enthusiasts. Future developments will focus on further refining predictive models, expanding device compatibility, and adding more automation features to maintain its competitive edge.

关键词： Temperature sensors Temperature measurement Water quality Predictive models Fish sensor systems Maintenance Predictive analytics Intelligent sensors Testing

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Low-Loss 3D-Coplanar Line Structure for Millimeter Wave applications Using Laser Direct Structuring Technology 22

Low-Loss 3D-Coplanar Line Structure for Millimeter Wave Appl...

引用

22nd International conference on Electromagnetics in advanced applications, ICEAA 2021

作者： Seewald, S. Manteuffel, D. Wolf, M. Barth, M. Eberhardt, W. Zimmermann, A. Institute of Microwave and Wireless Systems Leibniz University Hannover Hannover30167 Germany Hahn-Schickard Stuttgart70569 Germany University of Stuttgart Institute for Microfabrication Ifm Stuttgart70569 Germany

ISBN: (纸本)9781665413862

In this paper, we introduce an improved, three-dimensional coplanar line structure manufactured using Laser Direct Structuring (LDS) technology. The low-loss and robust against tolerance transmission line structure can be used for building conformal millimeter wave (mmWave) sensor applications as e.g. automotive radar. © 2021 IEEE.

关键词： Millimeter waves

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Multi-threshold Hysteresis-Based Congestion Control for UAV-Based Detection sensor Network 22nd

Multi-threshold Hysteresis-Based Congestion Control for UAV...

引用

22nd International conference on Next Generation Teletraffic and Wired/Wireless advanced Networks and systems, NEW2AN 2022

作者： Aliyu, Bashir Mokrov, Evgeny Samouylov, Konstantin 6 Miklukho-Maklaya st. Moscow117198 Russia Institute of Informatics Problems Federal Research Center "Computer Science and Control" of Russian Academy of Sciences Moscow119333 Russia

ISBN: (纸本)9783031302572

Nowadays, unmanned aerial vehicles (UAV) are considered for a variety of different applications. One of the important ones is automatic collection of sensory data. In this work, we study the use of UAV-based for secure remote monitoring network enabled via LoRaWAN lower-power wide area (LPWA) network. In the considered use-case the UAVs carry sensors collecting data and LoRa modules to transmit collected data to the stationary gateway. The work focuses on congestion control on the gateway. Specifically, we propose a multi-threshold hysteresis-based control mechanism to alleviate system overload by dropping some of the data send by the sensors. The considered system is modeled using the queuing system with multiple thresholds. The work studies time-dependent characteristics of the system: average time the system spends in overload and reduced load states. Our results demonstrate that using hysteresis control allows for the system to accept priority data traffic even under relatively high system load. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Wide area networks

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Efficient Implementation of Multi-sensor Adaptive Birth Samplers for Labeled Random Finite Set Tracking

Efficient Implementation of Multi-sensor Adaptive Birth Samp...

引用

International conference on Information Fusion

作者： Jennifer Bondarchuk Anthony Trezza Donald J. Bucci Advanced Technology Laboratories Lockheed Martin Cherry Hill NJ USA

ISBN: (数字)9781737749769

ISBN: (纸本)9798350371420

Adaptive track initiation remains a crucial component of many modern multi-target tracking systems. For labeled random finite sets multi-object filters, prior work has been established to construct a labeled multi-object birth density using measurements from multiple sensors. A naive construction of this adaptive birth set density results in an exponential number of newborn components in the number of sensors. A truncation procedure was provided that leverages a Gibbs sampler to truncate the birth density, reducing the complexity to quadratic in the number of sensors. However, only a limited discussion has been provided on additional algorithmic techniques that can be employed to substantially reduce the complexity in practical tracking applications. In this paper, we propose five efficiency enhancements for the labeled random finite sets multi-sensor adaptive birth procedure. Simulation results are provided to demonstrate their computational benefits and show that they result in a negligible change to the multi-target tracking performance.

关键词： Pediatrics Runtime Filters Adaptive systems Density measurement Simulation Benchmark testing sensors Complexity theory Clutter

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Pixels2Pose: Super-Resolution Time-of-Flight Imaging for 3D Pose Estimation

Pixels2Pose: Super-Resolution Time-of-Flight Imaging for 3D ...

引用

Imaging systems and applications, ISA 2022

作者： Ruget, Alice Tyler, Max Mora-Martín, Germán Scholes, Stirling Zhu, Feng Gyongy, Istvan Hearn, Brent McLaughlin, Steve Halimi, Abderrahim Leach, Jonathan School of Engineering and Physical Sciences Heriot-Watt University EdinburghEH14 4AS United Kingdom School of Engineering Institute for Integrated Micro and Nano Systems The University of Edinburgh EdinburghEH9 3FF United Kingdom Imaging Sub-group STMicroelectronics EdinburghEH3 5DA United Kingdom

The process of tracking human anatomy in computer vision is called pose estimation. It traditionally requires advanced equipment. We develop a system that estimates the 3D poses of people from a cost-effective and com... 详细信息

ISBN: (纸本)9781557528209

关键词： Cost effectiveness

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Metal ABENICS: Metallic Spherical Gear Mechanism with Orientation Correction using Embedded IMU sensor

Metal ABENICS: Metallic Spherical Gear Mechanism with Orient...

引用

IEEE/ASME (AIM) International conference on advanced Intelligent Mechatronics

作者： Moses Gladson Selvamuthu Kazuki Abe Kenjiro Tadakuma Riichiro Tadakuma Department of Mechanical Systems Engineering Faculty of Engineering Yamagata University 4 Chome-3-16 Jonan Yonezawa Japan Graduate School of Information Sciences Applied Information Sciences Tohoku University 6-6-01 Aramaki Aza Aoba Aoba-ku Sendai Miyagi Japan

ISBN: (数字)9798350355369

ISBN: (纸本)9798350355376

This paper introduces a novel high strength Active Ball Joint Mechanism (ABENICS) based on the Inertial Measurement Unit (IMU) for orientation feedback and control. The advanced ABENICS incorporates a sophisticated interplay of specially designed Cross-spherical and Monopole gears, fabricated from Alumigo Hard alloy. Notably, the gear-based joint proficiently drives three rotational degrees of freedom (RDoF) without slippage. The information from the IMU sensor is leveraged to comprehend the orientation of the spherical gear, enabling accurate positioning to its predefined setpoint using the developed control method. During system startup, the IMU feedback also aids in homing the spherical gear, ensuring a seamless transition to normal operation. The experimental findings affirm the efficacy of the developed control method, showcasing a significant reduction in positioning errors. The paper also introduces the development and experimentation of a robotic arm with ABENICS mechanism as the shoulder joint. The paper concludes by discussing various applications of ABENICS mechanism in robotics.

关键词： Accuracy Mechatronics Gears Service robots Metals Shoulder Prototypes

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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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Modern Encryption Techniques for Wireless Body Area Networks in E-healthcare: A survey

Modern Encryption Techniques for Wireless Body Area Networks...

引用

Ambient Intelligence in Health Care (ICAIHC), International conference on

作者： Pooja Singh Mou Dasgupta Department of Computer Applications National Institute of Technology Raipur India

ISBN: (数字)9798331530259

ISBN: (纸本)9798331530266

Healthcare has grown increasingly dependent on Wireless Body Area Networks (WBANs) for continuous monitoring of patient health metrics and real-time data transmission. Though wearable technology has limited resources and also medical data is sensitive, the integration of WBANs into healthcare systems raises serious security challenges, which require strong encryption methods to safeguard data integrity and restrict unauthorized access to sensitive medical health data. This survey presents a broad overview of modern encryption techniques used in WBANs, particularly as they pertain to e-healthcare applications. To provide secure data access in e-healthcare applications, we explore both conventional and advanced cryptographic techniques, such as lightweight encryption algorithms, identity-based encryption (IBE), attribute-based encryption (ABE), and hybrid encryption techniques. The paper also highlights ECC which works well in resource-constraint environments, making it suitable for WBAN applications. By examining modern issues like computational overhead, latency, and energy efficiency, the paper highlights the significance of a balance between security and performance when implementing encryption for WBANs. This survey aims to give a comprehensive assessment of the current state of encryption techniques used in e-healthcare, as well as suggestions for future research directions that could improve the security of next-generation healthcare systems. The ultimate goal is to protect patient data without sacrificing the effectiveness of medical services.

关键词： Surveys Wireless sensor networks Medical services Body area networks Elliptic curve cryptography Real-time systems Encryption Security Communication system security Monitoring

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Enhancing Diagnostic Accuracy in Plasma applications: Overcoming Data Imbalance and Uncertainty with advanced Machine Learning Techniques

Enhancing Diagnostic Accuracy in Plasma Applications: Overco...

引用

IEEE International conference on Plasma Science (ICOPS)

作者： N.S. Ali H.Z. Huang B. Ali M.U. Bashir S.A. Shah Center for System Reliability and Safety University of Electronic Science and Technology of China Chengdu China School of Mechanical and Electrical Engineering University of Electronic Science and Technology of China Chengdu China School of Electronic Science and Engineering University of Electronic Science and Technology of China Chengdu China Department of Mechanical Engineering MUET SZAB campus Khairpur Mir’s Sindh Pakistan Khairpur Mir’s Pakistan

ISBN: (数字)9798350360912

ISBN: (纸本)9798350360929

In plasma applications critical to industries like aerospace, automotive, material processing, advance manufacturing, and nuclear fusion, temperature sensor accuracy and reliability are essential for ensuring operational safety, efficiency, and equipment longevity. These sensors are vital in managing processes at extreme temperatures but face challenges due to data imbalance and uncertainty. Typically, extreme temperature events, anomalies are infrequent, leading to machine learning models that are undertrained for critical conditions, potentially missing failure signs. Additionally, sensor data uncertainty, from degradation, harsh environments, and response variability, can compromise data integrity for anomaly detection through diagnostic. This situation underscores the need for advanced methods to address challenges. Traditional diagnostic techniques fall short in complex plasma environments, often achieving suboptimal diagnostic accuracy. The initiation of Generative Adversarial Networks (GAN) for plasma temperature sensor signals with combination of Artificial Neural Networks (ANN) offers a breakthrough, with these models learning from complex data patterns and generating synthetic data to represent rare events better. This approach has significantly improved diagnostic accuracy in plasma applications, reaching up to 96.12%, a marked improvement over traditional methods. The integration of proposed diagnostic frameworks sets new standards for safety, efficiency, and reliability in plasma application engineering. It highlights the importance of developing machine learning algorithms that can manage data imbalance and incorporate uncertainty measures, ensuring models are accurate, reliable, and capable of identifying critical events. This advancement not only enhances plasma application reliability but also contributes to high-temperature operational management and sensor technology development, paving the way for more resilient and intelligent sensing systems in

关键词： Temperature sensors Plasma applications Accuracy Uncertainty Machine learning Artificial neural networks Reliability engineering

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Smart Parking Guidance System

Smart Parking Guidance System

引用

advanced Algorithms and Control Engineering (ICAACE), International conference on

作者： Shenghua He Yucong Kuang Haoxiang Wang Chaoyang Yang Yun Shi Jiahao Yue School of Robotics Engineering Guangzhou City University of Technology Guangzhou China

ISBN: (数字)9798350361445

ISBN: (纸本)9798350361452

With the increasing maturity of deep learning in the field of computer vision, traditional visual methods are gradually being replaced by deep learning algorithms, such as YOLO (You Only Look Once), accelerating the process of computational inference. The parking problem faces limitations in robustness under the constraints of diverse and complex scenarios from a traditional visual perspective. However, in the rapidly evolving modernization process, the development of parking systems has the potential to significantly advance the progress of artificial intelligence applications. This paper presents the design of a parking tracking system utilizing a laptop, D435i camera, STM32, and the YOLOv7 algorithm. By employing a detection-distance measurement-judgment approach, the system achieves target locking and tracking, allowing the vehicle to smoothly follow a specific target. Through experiments, our parking system demonstrates sharp target recognition and prompt responsiveness. The distance measurement error is maintained between 0.28 to 1 meter, and the YOLO inference speed stabilizes at 74 milliseconds until the system responds. This stability enables the parking system to make reliable judgments and respond quickly in real-world scenarios, providing a robust solution for practical applications.

关键词： YOLO Visualization Target tracking Power demand Portable computers Distortion sensor systems

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