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检索条件"任意字段=3rd IEEE International Conference on Distributed Computing in Sensor Systems"

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PIC-Based Continuous Frequency Tuning of the Optoelectronic Oscillator

PIC-Based Continuous Frequency Tuning of the Optoelectronic ...

引用

Informatics, Electronics, and Radio Engineering (PIERE), international conference Problems of

作者： Vladislav V. Ivanov Ivan V. Stepanov Yana V. Aleksakina Arina R. Shaygardanova Adelya D. Khairetdinova Grigory S. Voronkov Research Lab. “Sensor Systems Based on Devices of Integrated Photonics” Ufa University of Science and Technology Ufa Russia

ISBN: (数字)9798331516321

ISBN: (纸本)9798331516338

The paper explores optoelectronic oscillator (OEO) output frequency control by adjusting the integrated optical time delay line in the OEO feedback loop. The developed mathematical model demonstrates the continuous nature of output OEO frequency tuning for the continuous phase incursion change in the OEO feedback loop. We created a photonic integrated circuit (PIC) numerical model for verification in the Ansys Lumerical Software. The PIC is designed for the generic silicon-on-insulator platform. We applied an unbalanced Mach-Zehnder interferometer with tunable couplers as an integrated optical time delay line. Numerical simulations showed that the applied time delay line provides an output OEO frequency change range of 360 MHz within a voltage range from -3.2 to 0.5 V. In this case, the time delay tuning step is 6 ps/V, and the corresponding output frequency step is 30 MHz/ps. For the precision digital-to-analog converter (DAC), an output OEO frequency tuning step is 7.2 kHz for the minimum DAC voltage step 40 µV.

关键词： Time-frequency analysis Optical interferometry Delay effects Optical feedback Silicon-on-insulator Optical variables control Mathematical models Software Optical sensors Tuning

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A Survey on Fault Diagnosis Methods for UAVs

A Survey on Fault Diagnosis Methods for UAVs

引用

2021 international conference on Unmanned Aircraft systems, ICUAS 2021

作者： Fourlas, George K. Karras, George C. University of Thessaly Dept. of Computer Science and Telecommunications 3rd Km Old National Road Lamia-Athens Lamia35100 Greece

ISBN: (纸本)9780738131153

The continuous evolution of modern technology has led to the creation of increasingly complex and advanced systems. The growing demands for more reliable performance on such systems as the Unmanned Aerial Vehicles (UAVs), have made it imperative to develop sophisticated techniques that provide fault diagnosis in a timely and accurate manner. It is emphasized that the issues of safe operation of such systems are of utmost importance and their continuous monitoring is required in order to manage emergencies as quickly as possible when faults have occurred. In fault diagnosis, an automated system can be consisted of three main types of subsystems: actuators, main structure and sensors. Typically, a fault monitoring system is specifically designed to supervise and debug each of these subsystems. Successful execution of UAVs missions, is associated with the timely detection and isolation of serious faults occurring to their sensors and actuators. Therefore, it is crucial for the UAV to track its reliable operation so that any faults can be addressed before they lead to disastrous consequences. In this survey article we provide a detailed overview of recent advances and studies regarding fault diagnosis methodologies for UAVs, focusing primarily on sensor and actuator faults. © 2021 ieee.

关键词： Failure analysis

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distributed and Context Aware Application of Deep Neural Networks in Mobile 3D-Multi-sensor systems Based on Cloud-, Edge- and FPGA-computing 7

Distributed and Context Aware Application of Deep Neural Net...

引用

ieee 7th international conference on Industrial Engineering and Applications (ICIEA)

作者： Engel, Grischan Bhatti, Faraz Greiner, Thomas Heizmann, Michael Quint, Franz Pforzheim Univ Pforzheim Germany Karlsruhe Inst Technol Karlsruhe Germany Karlsruhe Univ Appl Sci Karlsruhe Germany

ISBN: (纸本)9781728167855

The use of deep neural networks (DNN) for 3Dimage processing significantly enhances visual cognition of mobile systems by considering spatial information. However, training and execution require high computing power. This is crucial in applications with real-time constraints since mobile systems have limited resources. Current approaches do not consider the usage of 3D-sensing. Furthermore, suggested system architectures solely focus on cloud- and edge-computing in combination with load balancing and parallelization for a distributed execution of DNNs. In contrast, we propose a novel system architecture for the distributed and context aware usage of DNNs for image processing tasks in mobile 3D-multi-sensor systems. Thereby, the scalable cloud- and edge-infrastructure is complemented by realtime capable and energy-efficient FPGA-computing. The publishsubscriber pattern facilitates the distributed execution of DNNs as well as their dynamic deployment. Moreover, context information is considered. Thus, a rule-based context model dynamically loads specialized DNNs and selects appropriate devices for execution. Finally, a case-study on a mobile 3D-multi-sensor system for wheeled walkers demonstrates applicability and benefits of the proposed approach.

关键词： deep neural networks context awareness 3Dsensing edge-computing cloud-computing fpga-computing

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IOT Established Agile Parking System 3

IOT Established Agile Parking System

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3rd international conference on Signal Processing and Communication (ICPSC)

作者： Sakthimohan, M. Pasupulti, Manoj Kumar Gopa, Venkatesh Gosi, Nilakanteswara Rani, Elizabeth G. Kalasalingam Acad Res & Educ Dept ECE Krishnankoil India

ISBN: (纸本)9781665428644

Automobile parking will also be a crucial trouble in fashionable engorged towns of nowadays. There definitely rectangular diploma too severe vehicles on the street and not enough parking regions. We've an unethical to diode to the need for cheap parking manage systems. This we have got have been given an unethical to illustrate the usage of IOT based absolutely parking manage machine that permits for finances satisfactory parking lot usage victimization IOT technology. To reveal the theory, we have got were given a unethical to apply IR sensors for sensing parking slot occupancy on the aspect of a dc motor to simulate as gate opener cars. We've an unethical to currently use a WLAN machine for net property and a chunk controller for operative the tool. We've were given an unethical to deliver an internet net web page for on line property and IOT manage interface style. The machine detects the parking slots square degree occupied victimization IR sensors. The tool reads the amount of parking slots to be had or occupied and updates records with the cloud server to allow for checking parking slot handiness on line. This permits customers to decide for available parking regions online from everywhere and to be had problem-free parking. Therefore the tool solves the parking hassle for cities accomplice degreed receives clients a reasonably-priced IOT primarily based totally parking manage tool

关键词： IOT IR sensor WLAN

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Predictive Maintenance for IoT-Enabled Wireless Devices Using AdaBoost with Synthetic Minority Oversampling Technique

Predictive Maintenance for IoT-Enabled Wireless Devices Usin...

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Integrated Circuits and Communication systems (ICICACS), ieee international conference on

作者： Montater MuhsnHasan Meghana A Panjagari Kavitha T. Aditya Sai Srinivas P. K. Chidambaram Department of Computers Techniques Engineering College of Technical Engineering The Islamic University Al Diwaniyah Iraq Department of Electrical and Electronics Engineering Nitte Meenakshi Institute of Technology Bengaluru India Department of Electronics and Communication Engineering CVR College of Engineering Hyderabad India Department of Artificial Intelligence and Machine Learning Jayaprakash Narayan College of Engineering Mahbubnagar India Department of Mechanical Engineering New Prince Shri Bhavani College of Engineering and Technology Chennai India

ISBN: (数字)9798331508456

ISBN: (纸本)9798331508463

Nowadays, the rapid growth of predictive maintenance methods has become crucial for Internet of Things (IoT) enabled wireless devices. The existing Random Forest (RF) utilized to predict device failures although, the complexity of IoT device data led to scalability issues. Hence, this research proposes an Adaptive Boosting with Synthetic Minority Oversampling Technique (AdaBoost-SMOTE) for predicting device failures. The proposed AdaBoost-SMOTE overcome the scalability issues by handling imbalanced data and reducing dimensionality for accurate prediction. Initially, the input data is collected from IoT-enabled sensors and preprocessed with z-score normalization to scale the features. Then, Permutation Importance (PI) is employed to select the optimal features by ranking the feature score based on its importance. After that, SMOTE is used to handle the imbalance data and then, AdaBoost is employed to predict the machine failures by assigning the higher weights to misclassified samples in an iterative manner. Finally, hyperparameter tuning is done by using Grid Search Cross-Validation (GSCV) to optimize the parameters by selecting best CV score as a best set of hyperparameters. From the results, the proposed AdaBoost-SMOTE achieved best results in terms of accuracy (97%), precision (95%), recall (93%), and F1-score (94%) when compared to existing AdaBoost.

关键词： Wireless communication Wireless sensor networks Accuracy Scalability Data preprocessing Boosting Internet of Things Integrated circuit modeling Tuning Predictive maintenance

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3rd EAI international conference on Multimedia Technology and Enhanced Learning, ICMTEL 2021

3rd EAI International Conference on Multimedia Technology an...

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3rd EAI international conference on Multimedia Technology and Enhanced Learning, ICMTEL 2021

ISBN: (纸本)9783030825645

The proceedings contain 97 papers. The special focus in this conference is on Multimedia Technology and Enhanced Learning. The topics include: Research on the Method of Eliminating Duplicated Encrypted Data in Cloud Storage Based on Generated Countermeasure Network;design of distributed Hybrid Pipeline Multimedia Aided Scheduling System;intelligent Scheduling of distributed Displacement Pipeline Based on Hybrid Discrete Drosophila Optimization Algorithm;research on Grid Planning Method of Distribution Network Based on Artificial Intelligence Technology;intelligent Monitoring Method for Backstage Data Security of Tourism Information Promotion Platform Based on Cloud computing;preface;research on Multithreaded Data Scheduling Control Method for Power Communication Based on Wireless sensor;research on Industrial Product Modeling Design Method Based on Deep Learning;a Frequency Conversion Circuit for Piezoelectric Vibrating Energy Harvesting;an Adaptive Optimization Strict Reverse Navigation Algorithm for Ship Fine Alignment Process;research on Load Feature Extraction Method of Typical Users Based on Deep Learning;enterprise Financial Risk Early Warning System Based on Catastrophe Progression Method;research on Transportation Route Planning Method of Regional Logistics Network Based on Transfer Learning;simultaneous Localization of Multiple Defects in Software Testing Based on Reinforcement Learning;Design of Embedded Network Human Machine Interface Based on VR Technology;Design of Information Security System Based on JSP Technology and Reinforcement Model;sliding Mode Adaptive Control for sensorless Permanent Magnet Synchronous Motor;recognition Method of Metal Material Pitting Defect Based on Visual Signal Processing;an Improved Detection Method of Safety Helmet Wearing Based on CenterNet;influence Maximization Based on True Threshold in Social Networks;arabic Question-Answering System Using Search Engine Techniques.

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3rd EAI international conference on Multimedia Technology and Enhanced Learning, ICMTEL 2021

3rd EAI International Conference on Multimedia Technology an...

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3rd EAI international conference on Multimedia Technology and Enhanced Learning, ICMTEL 2021

ISBN: (纸本)9783030825614

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IoT-based Smart Municipal Garbage Management System for Fertilizer Processing System

IoT-based Smart Municipal Garbage Management System for Fert...

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Robotics, Automation, Artificial-intelligence and Internet-of-Things (RAAICON), 2019 ieee international conference on

作者： Riadul Islam Anup Kumar Roy Ali Ahsan Md Mahfuzur Rahman Enam Md. Tanvir Islam Mim Abu Shufian Dept. of Electrical Engineering Lamar University Texas USA Dept. of Electrical & Electronic Engg American International University-Bangladesh Dhaka Bangladesh

ISBN: (数字)9798331534400

ISBN: (纸本)9798331534417

Food disposal is an important issue that has emerged in the modern world and has become more of a concern in our society in recent years, affecting both rich and poor countries. The Collection of waste is a much-needed municipal service for city people for environmental balance. This operation requires high expenses because of various factors such as manpower, navigation of vehicles, fuel, maintenance, and environmental costs. This study highlights a prototype that has been designed considering the above factors of essential implementation of the smart garbage bin to develop a proper municipal waste management system that is useful for the further fertilizer processing system. The prototype discussed here has been developed by a GSM module and ultrasonic distance measurement technology integrated into microcontrollers. This system has been simulated using EDA tools before hardware-based implementation according to the requirements. The proposed system offers a proper web server and SMS notification alert system to stop municipal garbage bins from overflowing. Using data server proper resources can be utilized such as creating location-based shortest paths and tracking worker’s performance, etc. A food waste management awareness system also can be displayed to raise public awareness for food scraps to be recycled and utilized to create fertilizer for new plantings. The suggested approach promises to contribute to a more sustainable and cleaner urban environment by encouraging citizen participation in recycling and trash reduction initiatives and optimizing waste management strategies for the respected organizations.

关键词： Waste management GSM Food waste Urban areas Prototypes Organizations Web servers sensor systems sensors Fertilizers

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Internet of Things Based Health Monitoring System Using Smart Glove

Internet of Things Based Health Monitoring System Using Smar...

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Robotics, Automation, Artificial-intelligence and Internet-of-Things (RAAICON), 2019 ieee international conference on

作者： Mohammad Faisal Ahmed Nowshad Hasan Mohammad Woli Ullah Md. Maskat Sharif Md Tohedur Rahaman Khan Md Rokibul Fahad Khan Anamul Bahar Department of Electronics and Telecommunication Engineering Chittagong University of Engineering and Technology Chittagong Bangladesh Department of Electronics and Telecommunication Engineering International Islamic University Chittagong Chittagong Bangladesh Department of Computer Science Enginnering University of London London United Kingdom

ISBN: (数字)9798331534400

ISBN: (纸本)9798331534417

The current healthcare and emergency response systems face significant challenges in preventing fatalities and serious injuries among elderly individuals and those living alone due to falls, delayed emergency care, and insufficient continuous health monitoring. This research proposes the development and evaluation of a cost-effective smart hand glove designed to enhance the safety and health monitoring of these vulnerable populations. The smart hand glove is built using an Arduino Uno microcontroller, an ESP8266 Wi-Fi module, two MPU6050 sensors for fall detection and gesture recognition, and a MAX30100 sensor for heart rate and SpO2 monitoring. These components work together to detect falls, recognize specific hand gestures, and continuously monitor vital signs. Upon detecting a fall or receiving a gesture input, the system triggers automatic SMS and email alerts to designated contacts. Additionally, health monitoring data is transmitted to a secure, password-protected website accessible by healthcare providers. The smart hand glove demonstrated its potential in improving safety and health outcomes for elderly individuals and those living alone by enabling timely medical intervention and continuous health monitoring. This innovative solution addresses critical gaps in emergency response and healthcare for vulnerable populations, ensuring better safety and wellbeing.

关键词： Hands Heart rate Medical services Gesture recognition Emergency services Older adults Fall detection Monitoring Intelligent sensors Wireless fidelity

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A distributed biometric authentication scheme based on blockchain 3

A distributed biometric authentication scheme based on block...

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3rd ieee international conference on Blockchain (Blockchain)

作者： Toutara, Foteini Spathoulas, Georgios Univ Thessaly Dept Comp Sci & Biomed Informat Lamia Greece Norwegian Univ Sci & Technol NTNU Dept Informat Secur & Commun Technol Gjovik Norway

ISBN: (纸本)9780738104959

Biometric authentication is the preferred authentication scheme in modern computing systems. While it offers enhanced usability, it also requires cautious handling of sensitive users' biometric templates. In this paper, a distributed scheme that eliminates the requirement for a central node that holds users' biometric templates is presented. This is replaced by an Ethereum/IPFS combination to which the templates of the users are stored in a homomorphically encrypted form. The scheme enables the biometric authentication of the users by any third party service, while the actual biometric templates of the user never leave his device in non encrypted form. Secure authentication of users in enabled, while sensitive biometric data are not exposed to anyone. Experiments show that the scheme can be applied as an authentication mechanism with minimal time overhead.

关键词： biometric authentication blockchain homomorphic encryption privacy

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