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Object Recognition based on Deep Learning Algorithms using embedded IoT with Interactive Interface 7

Object Recognition based on Deep Learning Algorithms using E...

引用

7th international conference on Intelligent computing and Control systems, ICICCS 2023

作者： Borde, Swapna Patil, Chandan Sonawane, Chinmay Singh, Mankrit Vidyavardhini's College of Engineering and Technology Vasai India B.E. Computer Engineering Vidyavardhini's College of Engineering and Technology Vasai India

ISBN: (纸本)9798350397253

Object detection is one of the most popular applications of machine learning in the modern era. With the growth of IOT in recent times, dedicated devices offering real-time object detection have seen overwhelming demand and applications in many sectors e.g. security, healthcare, workplace etc. Different algorithms and approaches have been implemented and studied in terms of object detection. To refer to a few the YOLO family, RCNN family, SSD etc. this research study compares the performance of YOLO and Faster RCNN based on a custom dataset containing different objects and items. the IOU of each data point (image) is calculated and compared. YOLO performs better for a small margin. In this research study, a language learning interactive model is demonstrated based on object detection(YOLO), NLP, python, flask and IoT (Raspberry Pi.) the web application is running on is divided into two parts, learning and practice. the learning part has a raspberry pi device which has a camera module that captures real-time footage, recognizes the object and reads out its name in the language the user is learning. the practice has the same setup, with the application asking the user to show a particular object. Points are awarded for correct guesses, making the learning process more interactive and involving. © 2023 IEEE.

关键词： Object detection

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Addressing data gaps in environmental sensors: a case study on temporal patterns and restoration strategies in East Kazakhstan region 19

Addressing data gaps in environmental sensors: a case study ...

引用

19th international conference on Future Networks and Communications, FNC 2024 / 21st international conference on Mobile systems and Pervasive computing, MobiSPC 2024 / 14th international conference on Sustainable Energy Information Technology, SEIT 2024

作者： Alzhanov, Almas Nugumanova, Aliya Zhomartkan, Nurassyl Astana IT University Mangilik El avenue 55/11 Business center EXPO block C1 Astana010000 Kazakhstan Sarsen Amanzholov East Kazakhstan University 30th Guards Division 34/1 Ust-Kamenogorsk070000 Kazakhstan

Nowadays, the monitoring systems embedded with diverse sensors within the Internet of things play an important role in how we collect data and provide in-depth insights into human behavior, environmental trends, and different industrial processes. these sensors can gather data in real-time and due to their ability to connect through various communication interfaces, it is possible to integrate such devices into existing networks ensuring that data can be transmitted in real-time to central systems or mobile devices. However, many factors such as connectivity issues, severe weather, and sensor faults, might cause missing data, thus leading to poor decision-making. In this study, an in-depth analysis was performed on environmental meteorological data collected from May 2022 to March 2023 in the East Kazakhstan region using Vaisala WXT536 multi-parameter weather sensor. the data restoration strategy that is based on the duration of data gaps is evaluated. For short-term gaps under 30 minutes in duration, the mean and median imputation achieved higher results with a root mean squared error of 0.25 for temperature than training Random Forest algorithm which achieved 3.59, while for the extended periods of missing values, the Long Short-Term Memory model was utilized with 2.47 for the temperature. the main goal of the research is to analyze the temporal patterns of missing data and potential reasons for these failures as well as to evaluate the data restoration strategies. © 2024 the Authors. Published by Elsevier B.V.

关键词： Spatio-temporal data

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ICT Smart Water Management System for real-time applications 11

ICT Smart Water Management System for Real-Time Applications

引用

11th international conference on Modern Circuits and systems Technologies (MOCAST)

作者： Rjoub, Abdoul Alkhateeb, Majed Jordan Univ Sci & Technol Dept Comp Engn POB 3030 Irbid 22110 Jordan Soqia Innovat Environm Solut Irbid Jordan

ISBN: (数字)9781665467179

ISBN: (纸本)9781665467179

this paper presents an innovative and low-cost water quality and quantity monitoring system in real-time applications. the proposed application consists of various sensors used to measure water quality parameters. these parameters such as pH, Total Dissolved Solids (TDS), Ammonium (NH4), Sodium (Na), and Chloride (CL). the Arduino Mega is used as the micro-controller and Wi-Fi model to transfer the data from and to the database uploaded into the cloud. Water Level Sensor, Water Flow sensor, and Water Solenoid Valve are used to control water quantity. Liquid Crystal Display (LCD) and Keypad input and display the data. Finally, a web browser displays and manages all data uploaded into the cloud from anywhere. the proposed system can be a part of a smart city and intelligent building.

关键词： ICT in water Smart city Water management Water quantity Water quantity

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Using Digital Twins in the Development of Complex Dependable real-time embedded systems 11th

Using Digital Twins in the Development of Complex Dependable...

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11th international Symposium on Leveraging applications of Formal Methods, Verification and Validation

作者： Dai, Xiaotian Zhao, Shuai Lesage, Benjamin Bate, Iain Univ York Dept Comp Sci York N Yorkshire England

ISBN: (纸本)9783031197611;9783031197628

Modelling execution times in complex real-time embedded systems is vital for understanding and predicting tasks' temporal behaviour, and to improve the system scheduling performance. Previous research mainly relied on worst-case execution time estimations based on formal static analyses that are often pessimistic. the models that resulted are hard to maintain and even harder to validate. In this work, the novel use of Digital Twins provides opportunities to improve this issue and beyond for dependable real-time systems. We aim to establish and contribute to three questions: (i) how to easily model execution times with an adequate level of abstraction, and how to evaluate the quality of that model;(ii) how to identify errors in the models and how to evaluate the impact of errors;and (iii) how to make decisions as to when and how to improve the models. In this paper, we proposed a Digital Twin-based adaptation framework, and demonstrated its use for modelling and refining execution time profiles. Key decisions concerning the quality of the model and its impact on performance are evaluated. Finally, some challenges and key research questions for the formal method community are proposed.

关键词： Digital twin real-time embedded systems Execution time model Error modelling Error refinement System adaptation

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A Transfer Learning Approach for Face Liveness Detection 11

A Transfer Learning Approach for Face Liveness Detection

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11th IEEE international conference on Intelligent computing and Information systems, ICICIS 2023

作者： Omara, Mahmoud Fayez, Mahmoud Khalid, Heba Ghoniemy, Said Ain Shams University Faculty of Computer and Information Sciences Cairo Egypt

ISBN: (纸本)9798350322101

In the rapidly advancing domain of digital security, the authenticity of facial recognition systems remains essential. Face spoofing attacks pose a significant challenge, with malicious entities attempting to deceive facial authentication systems using counterfeit techniques. In this study, we present a novel transfer learning methodology leveraging the MoViNet model, renowned for its efficiency in video data processing, to discern genuine from spoofed faces. Our approach addresses the specific challenges of face liveness detection by fine-tuning the MoViNet model on a diverse dataset of both genuine and counterfeit face videos, enhanced by preprocessing steps such as frame extraction, padding, resizing, and normalization. this meticulous adaptation not only improves training but, through our transfer learning technique, equips the model with a robust defense against new and unseen spoofing attempts, ultimately achieving a notable zero False Acceptance Rate (FAR) - a testament to its high generalizability and uncompromising efficacy against spoofing. Post-training, our MoViNet-based model exhibited a remarkable accuracy of 98%, with a Precision of 1.0, an F1-Score of 0.94, and most notably, an Equal Error Rate (EER) and Half Total Error Rate (HTER) of 0.05%. When compared with several state-of-the-art methods, our approach not only matched but surpassed their efficacy. the findings underscore the potential of MoViNet in fortifying facial recognition systems against spoofing attacks, setting a new benchmark in the field, and offering robust protection for various real-world applications. We believe our transfer learning approach opens exciting possibilities for enhancing security and user experience in diverse domains. © 2023 IEEE.

关键词： Learning systems

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Work-in-Progress Abstract: A New Criterion for Job Switching in Semi-Clairvoyant systems 27

Work-in-Progress Abstract: A New Criterion for Job Switching...

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27th IEEE international conference on embedded and real-time computing systems and applications (RTCSA)

作者： Radulescu, Vlad Andrei, Stefan Cheng, Albert M. K. AI Cuza Univ Iasi Dept Comp Sci Iasi Romania Lamar Univ Dept Comp Sci Beaumont TX USA Univ Houston Dept Comp Sci Houston TX 77204 USA

ISBN: (纸本)9781665441889

the concept of graceful degradation in mixed-criticality real-time systems is still struggling to reach a widely accepted, global view. Numerous results have emerged in this field during the last years, but there is still a lot of work to do. this paper comes with an addition to a recent work [2] in the field of scheduling in semi-clairvoyant systems: it introduces a new criterion for determining which low criticality jobs should be switched upon a system criticality mode transition.

关键词： mixed-criticality semi-clairvoyant scheduling graceful degradation

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Sub-Terahertz MIMO Array Antenna for Future Wireless applications 11

Sub-Terahertz MIMO Array Antenna for Future Wireless Applica...

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11th IEEE international conference on Communication systems and Network Technologies, CSNT 2022

作者： Moghe, Sneha Yadav, Rohit Malviya, Leeladhar Sgsits M.P. Indore India Iet Davv M.P. Indore India

ISBN: (纸本)9781665480383

In the era of wireless communication, requirement of wireless devices are increasing rapidly. To fulfil the demand of services like as video conferencing, real time data transmission, internet of things (IOT), high bandwidth and high data rate are required so for the future wireless communication sub-terahertz frequency band is going to play an important role because it provides large bandwidth and high data rate upto 10 Gbps so for the future wireless applications 2×4 MIMO array antenna design is proposed, this design resonates at 0.281 and 0.282 thz as well as for the transmission capability CCL and TARC is also discussed. © 2022 IEEE.

关键词： MIMO systems

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Design of an MPU9250-Based Attitude Data Measurement System 11

Design of an MPU9250-Based Attitude Data Measurement System

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11th IEEE international conference on Computer Science and Network Technology, ICCSNT 2023

作者： Li, Yuanjie Nazir, Mahvish University of Birmingham The Department of Electronic Electrical and Systems Engineering Xi'an China

ISBN: (纸本)9798350311594

Attitude solving plays a crucial role in various fields, as it enables accurate determination of an object's orientation and helps optimize system performance. By providing precise attitude information, the MPU9250 nine-axis sensor contributes to the design of balance bikes, aerial mice, and other applications. the project utilizes the STM32F767 microcontroller to interface with the MPU9250 sensor, enabling the acquisition of raw data. the Digital Motion Processor (DMP) and Motion Process Library (MPL) library are employed to perform attitude solving, allowing for real-time estimation of the object's Euler angles. the results from the proposed method demonstrate accuracy, providing a reliable and cost-effective solution for precise attitude resolution. this research enhances operational efficiency, optimizes system performance, and reduces computational complexity. Future efforts will focus on mitigating errors arising from environmental factors. © 2023 IEEE.

关键词： Cost effectiveness

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Spatio-Temporal Missing Data Reconstruction by Using Deep Neural Networks in Agricultural Monitoring systems 11

Spatio-Temporal Missing Data Reconstruction by Using Deep Ne...

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11th international conference on Agro-Geoinformatics, Agro-Geoinformatics 2023

作者： Sentop, Mehmet Selahaddin Yucel, Meric Ustundag, Burak Berk Istanbul Technical University Computer Engineering Istanbul Turkey Istanbul Technical University National Software Certification Research Center Istanbul Turkey

ISBN: (纸本)9798350303513

this study addresses the issue of missing, distorted, or inaccurate data in agricultural monitoring systems. Such data issues can lead to errors in prediction and management models, affecting various applications in agricultural meteorology and remote sensing. Conventional missing data completion algorithms often fail to effectively leverage the inherent relationships between temporal and spatial data in agricultural observation systems. Machine learning techniques, specifically deep learning, offer a promising solution by considering factors such as time windows, seasons, and plant characteristics to fill missing data. However, managing the non-linear nature of agricultural monitoring within a machine learning framework poses a challenge. this study proposes a new deep learning approach called Predictive Error Compensated Network that addresses missing data reconstruction while mitigating overfitting. Predictive Error Compensated Network utilizes feature extraction networks and Discrete Wavelet Transform to incorporate different data types and time windows, improving performance. Evaluation against traditional methods demonstrated superior results with Predictive Error Compensated Network, achieving a significant reduction in reconstruction Root Mean Squared Error across different time windows. © 2023 IEEE.

关键词： Discrete wavelet transforms

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WRLqueue: A Lock-Free Queue For embedded real-time System 24

WRLqueue: A Lock-Free Queue For Embedded Real-Time System

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24th IEEE international conference on High Performance computing and Communications, 8th IEEE international conference on Data Science and systems, 20th IEEE international conference on Smart City and 8th IEEE international conference on Dependability in Sensor, Cloud and Big Data systems and Application, HPCC/DSS/SmartCity/DependSys 2022

作者： Yang, Qidi Tang, Lei Guo, Yanrong Kuang, Nailiang Zhong, Sheng Luo, Hangzai Xi'an Microelectronics Technology Institute Department of Software Engineering Xian710065 China Northwest University Department of Software Engineering Xian710127 China

ISBN: (纸本)9798350319934

Data synchronization across tasks and devices are crucial for any system supporting multi-task. the standard lock-based blocking mechanism in the aforementioned process may have unpredictable latency overhead thus is not suitable for real time applications, and is prone to deadlock. As a result, lock-free and wait-free algorithms with worst-case latency and progress assurance are crucial for real time cases. Existing lock-free algorithms need to frequently allocate new storage buffers during execution, and design a series of complex memory recovery strategies and help mechanisms. It results in a high worst-case latency, complicated algorithm design, and poor embedded device adaptability. this work proposes a new lock-free method WRLqueue (write to read lock-free queue) for multi-producer and single consumer situation, which considerably enhances the real-time performance guarantee. Experimental results show that the cyclomatic complexity is reduced by 85% compared with existing algorithms. the worst-case latency of enqueue operation decreases by 90% in the case of no competition and 60% in the case of competition. © 2022 IEEE.

关键词： Locks (fasteners)

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