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Smart Healthcare Ecosystems backed by IoT and Connected Biomedical technologies 5

Smart Healthcare Ecosystems backed by IoT and Connected Biom...

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5th international conference on Computational Intelligence and Communication technologies, CCICT 2022

作者： Juneja, Azeez Kumar, Rakesh Gupta, Meenu Chandigarh University Department of Computer Science and Engineering Punjab India

ISBN: (数字)9781665472241

ISBN: (纸本)9781665472241

The Internet of Things (IoT) is a highly capable technology in the health industry. Research articles and upcoming technologies relating IoT to the healthcare industry are examined to determine the vast capabilities of technology in the future. This analysis would aid experts in devising solutions to issues and combating pandemics. IoT is emerging as a technology that enables many improvements in the health sector, such as accurate records maintenance, sample analysis, and illness root-cause analysis. The sensor-based technology can mitigate the potential risks associated with surgery. The study examines and correlates various applications of IoT in the industry, with a comprehensive analysis of their objectives, limitations, and outcomes. The study would help pave way for a technology-backed healthcare ecosystem in the future, which would include the best of all technologies. © 2022 IEEE.

关键词： Internet of things

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Simple Machine Learning Approach for Liquid Concentration Estimation Employing Fiber Optic Tip sensor 8

Simple Machine Learning Approach for Liquid Concentration Es...

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8th international conference on Engineering and Emerging technologies, ICEET 2022

作者： Razali, Nazirah Mohd Saris, Nur Najahatul Huda Daud, Nurul Ashikin Universiti Teknologi Malaysia Malaysia-Japan International Institute of Technology Kuala Lumpur54100 Malaysia Universiti Teknologi Malaysia School of Electrical Engineering Faculty of Engineering Johor81310 Malaysia

ISBN: (纸本)9781665491068

Optical fiber sensors have been remarkably demonstrating its capacity for measuring various liquid concentrations. Traditionally, these sensors are characterized with a known concentration value and having its response analyzed in the form of an optical spectrum signal. However, questions arise as to whether there is the possibility to automate the sensing system by detecting an unknown concentration value using this type of sensor especially for real sensing applications. This paper introduced a simple machine learning approach by modelling a single linear regression to predict the unknown liquid concentration value of the sensor by using collected data from experiment work. The result showed that machine learning has the ability to measure the liquid concentration value of the sensor with small error values while accruing an accuracy of 85.67%. This promising result shows the potential of machine learning for integration into optical fiber sensing systems. © 2022 IEEE.

关键词： Optical fibers

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WEBIST 2022 - Proceedings of the 18th international conference on Web Information Systems and technologies

WEBIST 2022 - Proceedings of the 18th International Conferen...

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18th international conference on Web Information Systems and technologies, WEBIST 2022

ISBN: (纸本)9789897586132

The proceedings contain 54 papers. The topics discussed include: classifying the reliability of the microservices architecture;few-shot approach for systematic literature review classifications;agile in higher education: how can value-based learning be implemented in higher education?;AKIP process automation platform: a framework for the development of process-aware web applications;machine learning and Raspberry Pi cluster for training and detecting skin cancer;semi real-time data cleaning of spatially correlated data in traffic sensor networks;who ate all our cookies? investigating publishers’ challenges caused by changes in third-party cookie tracking;transfer, measure and extend maintainability metrics for web component based applications to achieve higher quality;evaluation of project work in public administrations in e-government and digitization projects in Germany;and deep-vacuity: a proposal of a machine learning platform based on high-performance computing architecture for insights on government of Brazil official gazettes.

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A Filter is Better Than None: Improving Deep Learning-Based Product Recommendation Models by Using a User Preference Filter 23

A Filter is Better Than None: Improving Deep Learning-Based ...

引用

23rd IEEE international conference on High Performance Computing and Communications, 7th IEEE international conference on Data Science and Systems, 19th IEEE international conference on Smart City and 7th IEEE international conference on Dependability in sensor, Cloud and Big Data Systems and applications, HPCC-DSS-SmartCity-DependSys 2021

作者： Gomes, Miguel Alves Tercan, Hasan Bodnar, Todd Meisen, Philipp Meisen, Tobias University of Wuppertal Chair for Technologies and Management of Digital Transformation Wuppertal Germany Breinify Inc San Francisco United States

ISBN: (纸本)9781665494571

Nowadays, recommendation systems are a central component in a wide range of online services. One major challenge for them is to generate suitable recommendations for individual users who differ, among other things, in their interests and preferences. In this paper, we propose a deep learning-based product-to-product recommendation system that uses product embeddings to incorporate content-based product information and user data in form of historical checkouts. On top of that, we add a filter that rearranges the models' recommendations based on the individual user preferences to a product category that is derived from past activities. In order to evaluate and show the impact of our approach, we conduct tests on historical data and an A/B-test in a real online service that offers thousands of different customer packaged goods (CPG) to millions of users. The results show that our approach delivers suitable product recommendations to users and outperforms the current system in use. © 2021 IEEE.

关键词： Smart cities Information filters

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A Concise Review on Internet of Things: Architecture and Its Enabling technologies 1st

A Concise Review on Internet of Things: Architecture and Its...

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1st international conference on Computational Intelligence for Engineering and Management applications, CIEMA 2022

作者： Choudhary, Vandana Tanwar, Sarvesh Department of Information Technology Amity Institute of Information Technology Amity University Uttar Pradesh Noida201301 India

ISBN: (纸本)9789811984921

Internet of Things (IoT) is an amalgamation of diverse technologies including big data analytics, machine learning, wireless sensor networks, artificial intelligence, etc. IoT is contemplated to alchemize the way Internet works. It has become the next communication era. It enables machine-to-machine (M2M) communication viable. Its prime objective is to furnish seamless communication among heterogeneous physical devices/objects connected through Internet to achieve smart application goals without human mediation. Communication technology plays a substantial role in enabling the universal connectivity of physical devices/objects in view of IoT. For being able to instrument a smart world, it is not only vital to inspect the discipline of IoT, but also crucial to make the required amendments in the architecture of the IoT for realizing reliable end-to-end communication. In this paper, we have outlined the basics of IoT, IoT architectures, and its enabling technologies. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Internet of things

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Video Surveillance System of Substation Based on AdaBoost Pedestrian Anti-misjudgment Algorithm 17th

Video Surveillance System of Substation Based on AdaBoost Pe...

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17th international conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP) / 14th international conference on Frontiers of Information Technology, applications and Tools (FITAT)

作者： Huang, Xu-hong Tang, Sheng-ping Zheng, Shang Zhao, Nan Fujian Univ Technol Fuzhou 350000 Fujian Peoples R China Fujian Univ Technol Fujian Prov Key Lab Big Data Min & Applicat Fuzhou 350000 Fujian Peoples R China

ISBN: (纸本)9789811910579;9789811910562

In order to reduce the false alarm rate of the pedestrian monitoring system in the substation and accelerate the unmanned operation of the substation, this paper proposes a video surveillance system of substation based on the AdaBoost pedestrian anti-misjudgment algorithm. It use infrared temperature sensor and infrared life sensor to distinguish between plants and animals according to whether there are life characteristics, so as to solve the misjudgment of the alarm system caused by shaking plants, use directional gradient histogram (HOG) features, support vector machines (SVMs) classifier, and AdaBoost algorithm to distinguish pedestrians from other animals, and eliminate the misjudgment of other animals on the alarm system;if the detection result is a pedestrian, the data will be uploaded to the PC and synchronized to the cloud to remind the relevant staff in time. This system can effectively solve the problem of the high-false alarm rate of the current unattended substation monitoring system and accelerate the advancement of unattended substations.

关键词： AdaBoost algorithm Infrared SVM Temperature sensor

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eSysId: Embedded System Identification for Vibration Monitoring at the Extreme Edge

eSysId: Embedded System Identification for Vibration Monito...

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international conference on applications in Electronics Pervading Industry, Environment and Society, APPLEPIES 2022

作者： Zonzini, Federica Zauli, Matteo Marchi, Luca De Advanced Research Center on Electronic Systems for Information and Communication Technologies "Ercole De Castro" University of Bologna Bologna40136 Italy

ISBN: (纸本)9783031303326

Enabling extreme edge processing functionalities will lead a breakthrough in the development of the next generation of Structural Health Monitoring (SHM) systems, thanks to the adoption of sensor–near data analtycs which will make the structural inference process faster and more advantageous in terms of power consumption and data volume. In this work, we specifically endorse this paradigm in the context of vibration–based diagnostics by proposing a novel, intelligent accelerometer sensor combining, in an embedded device, advanced edge data analytics implementing System Identification algorithms, and energy–aware custom hardware supporting it. The effect of the bit–depth quantization of the collected signal on the quality of the retrieved structural parameters is assessed;moreover, a cost–benefit analysis is also encompassed, showing how the developed solution might be globally more advantageous from an energy point of view, reaching up to 10x power saving if compared with standard alternatives. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Structural health monitoring

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Key technologies of Internet of Things (IoT) Terminal in Intelligent Energy

Key Technologies of Internet of Things (IoT) Terminal in Int...

引用

2022 IEEE international conference on High Voltage Engineering and applications, ICHVE 2022

作者： Xia, Sheng-Yuan Huang, Zhengyong Long, Yunfeng Guo, Liang-Yan Li, Jian School of Electrical Engineering Chongqing University State Key Laboratory of Power Equipment & System Security and New Technology Chongqing China

ISBN: (数字)9781665407502

ISBN: (纸本)9781665407502

Intelligent energy Internet of Things (IoT) supports smart cities construction through the functions of information sensing and energy management. However, massive application scenarios of smart cities result in serious fragmentation of IoT terminal ecosystem. Establishing platform-based terminal ecosystem is considered as a solution to the fragmentation problem. This paper presents key technologies and future trends of terminal ecosystem for intelligent energy IoT. Functions of intelligent energy IoT are addressed to summarize demands for IoT key technologies, which involving sensor, hardware platform, software system and machine-to-machine (M2M) communication. Future trends of platform-based terminal ecosystem, including unified resource model, reconfigurable hardware platform and lightweight software system are proposed to solve serious fragmentation. © 2022 IEEE.

关键词： Internet of things

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RFID-based Respiration Monitoring using Temperature Sensing 12

RFID-based Respiration Monitoring using Temperature Sensing

引用

IEEE 12th international conference on RFID Technology and applications (RFID-TA)

作者： Panunzio, Nicoletta Marrocco, Gaetano Univ Roma Tor Vergata Pervas Electromagnet Lab Rome Italy

ISBN: (数字)9781665465946

ISBN: (纸本)9781665465946

Abnormal breathing can be a symptom of unhealthy status, but conventional diagnostic exams involve cumbersome and intrusive instrumentation. Wireless wearable technologies may hence provide an attractive alternative, but state-of-the-art solutions are generally bulky, include complex electronics, and require a local power source to communicate by using a BLE (Bluetooth Low Energy) interface. Epidermal battery-less devices enabled by Radio Frequency IDentification (RFID) technology are instead gaining increasing interest. Indeed, data sensing and transmission become fully wireless, and the electronic complexity can be kept small thanks to new generation RFID Integrated Circuits (ICs) that are provided with built-in sensors. In particular, this paper will focus on the latest advancements in the field of RFID breath sensor-devices that wirelessly monitor respiration by measuring the temperature gradients of the air flowing through the airways. The main innovations span from improvements in the lightweight design of the devices and materials, the enhancement of the sensing capabilities by doubling the embedded sensors on the same device, and, most importantly, the thorough experimentation performed to assess the clinical meaningfulness of temperature breathing waveforms with respect to conventional clinical-grade flow-based methods.

关键词： Radio Frequency IDentification (RFID) temperature sensor breathing epidermal antenna wearable antenna

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Circular-Shaped Nanostrip Fed Plasmonic Nano-Antenna sensor

Circular-Shaped Nanostrip Fed Plasmonic Nano-Antenna Sensor

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Advances in Electrical, Computing, Communication and Sustainable technologies (ICAECT), international conference on

作者： S Kavitha Ashish Singh K V S S S S Sairam Mohammad Aneesh Department of Electronics and Communication NMAMIT Nitte(Deemed to be University) Udupi India Department of Computer and Communication NMAMIT Nitte(Deemed to be University) Udupi India Department of Electronics and Communication Veer Bahadur Singh Purvanchal University Jaunpur India

To meet the high data rate requirements nanophotonic devices such as plasmonic nano-antennas are essential in future. In this regard, the manuscript portrays the design and investigation of a plasmonic nanopatch antenna sensor using silver, gold and graphene on different dielectric substrates. The Drude and Lorentz dispersion models are used to study the plasmonic characteristics of the nano-antenna sensor materials. Furthermore, analysis of the dispersion model demonstrates that plasmonic metals exhibit negative real permittivity that is essential for the plasmon resonance. The analysis of the proposed gold, silver and graphene nanopatch antennas is performed through the Finite Integration Technique on CST Microwave Studio. The study demonstrates that the proposed circular-shaped nanostrip fed nano-antenna sensor exhibits a large enhancement in the field, therefore it can be used for plasmonic sensing applications.

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