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2022 International conference on Electronic Systems and intelligent Computing, ICESIC 2022

作者： Dande, Bhargavi Chang, Chih-Yung Fan, Cheng-De Tamkang University Dept. of Computer Science and Information Engineering New Taipei City Taiwan Tamkang University Dept. of Electrical and Computer Engineering New Taipei City Taiwan

ISBN: (纸本)9781665483858

In wireless sensor networks (WSNs), the finite battery capacity of the sensor nodes restricts the lifetime of the network. With the wireless power transfer (WPT) technology, the mobile chargers can transmit energy to the sensor nodes, which provides a solution for recharging the sensors. Therefore, this paper proposed a mobile charger scheduling (MCS) algorithm, which maximizes the coverage quality of the network. The proposed MCS algorithm formulated an adaptive recharging request threshold for the sensor nodes. Then the coverage benefit (CB) of the requested sensors is considered to dynamically adjust the path. Finally, through the experimental analysis, it is shown that the proposed MCS algorithm gains the best performance than the existing works. © 2022 IEEE.

关键词： Scheduling algorithms

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Development of intelligent Management System for Health Combat Readiness Materials Based on RFID Technology

Development of Intelligent Management System for Health Comb...

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2023 International conference on intelligent Systems, Communications, and Computer networks, ISCCN 2023

作者： He, Jian Lin The 920th Hospital of the Joint Support Force of the Chinese People's Liberation Army China

ISBN: (纸本)9781510666238

At present, intelligent systems in the health field have been widely used in various departments and play an important role in medical, health care and other industries. This paper establishes a safe and reliable wireless temperature control system based on RFID technology. This system takes RFID as the core component to design a complete, stable and efficient environmental temperature monitoring and alarm control system, which uses sensors to collect data for analysis and processing, so as to detect and display human body temperature in real time. The current actual situation is fed back to the microcontroller through the LED display screen, and the corresponding parameters are adjusted according to the user's needs, so that it can work normally and meet the user's needs. Finally, the performance of the system is tested. The test results show that the main functions of each module of the health management intelligent management system based on RFID technology, the terminal acquisition module, need less than 5s in processing and collecting data, and can operate normally. © 2023 SPIE. All rights reserved.

关键词： intelligent systems

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Research on unmanned vehicle perception decision-making based on improved YOLO 7

Research on unmanned vehicle perception decision-making base...

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7th IEEE International conference on information Systems and Computer Aided Education, ICISCAE 2024

作者： Ouyang, Qiuxue Song, Yang Liu, Qinghan Jing, Tong Qingdao City University Qingdao China School of Mechanical and Electrical Engineering Qingdao City University Qingdao China School of Computer Engineering Qingdao City University Qingdao China

ISBN: (纸本)9798350350760

—In this study, a solution based on the improved YOLO model and multivariate normal distribution model is proposed to address the deficiencies of environment perception and decision-making capabilities of driverless vehicles in complex environments. An environment perception and decision-making system adapted to complex conditions is constructed through artificial intelligence and big data technologies, which significantly improves the performance and recognition accuracy of the vehicle. In response to the call of the Strategy for the Innovative Development of intelligent Connected Vehicle Industry, this study provides a practical foundation for the development of the technology. In terms of environment sensing, this study applies big data technology to deeply process VOC and COCO sensor datasets, and combines statistical optimization with YOLO and multivariate normal distribution to improve the system's stability and accuracy in detecting key traffic elements. In terms of decision-making system technology, the performance of the decision-making system was comprehensively evaluated through a multidimensional performance evaluation system, including real-time, behavioral accuracy, and other metrics, and optimized for path planning and behavioral decision-making through machine learning. In the future, the research will focus on sensor technology, data processing algorithms and the integration of neural networks and artificial intelligence, in order to continuously improve the environment perception and decision-making ability of driverless cars, and contribute to the development of intelligent transportation systems. ©2024 IEEE.

关键词： intelligent systems

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The Construction of an intelligent Water Environment Automatic Monitoring System Based on the Internet of Things

The Construction of an Intelligent Water Environment Automat...

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2023 International conference on intelligent Systems, Communications, and Computer networks, ISCCN 2023

作者： Zhao, Weichen Wu, Shouyuan School of Electrical Engineering Shandong University Jinan Shandong250061 China

ISBN: (纸本)9781510666238

To solve the traditional water quality detection using ZigBee, GPRS, and other communication technologies having limited coverage distance, high power consumption, high cost, and complex deployment problems, according to the water quality testing real-Time monitoring requirements, an NB-IoT-based water quality monitoring system platform is designed. The system uses the "end-Tube-cloud" of the Internet of things mode, through the temperature, pH, dissolved oxygen, and other sensors to collect water quality parameters. M5310-A module will receive the sensor data uploaded to the OneNET cloud platform to achieve the remote transmission of water quality information and display functions, while the user can be in the application terminal real-Time monitoring and directly read the water quality parameters of the measured waters. The system effectively improves the efficiency and modernization of water quality monitoring work, with good application prospects and economic benefits. © 2023 SPIE. All rights reserved.

关键词： Internet of things

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Quantitative Scalability of Nodes and Geographical Coverage in LEACH Protocol 6

Quantitative Scalability of Nodes and Geographical Coverage ...

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6th International conference on Pattern Analysis and intelligent Systems, PAIS 2024

作者： Mir, Foudil Meziane, Farid Bounceur, Ahcene Laouid, Abdelkader Faculty of Exact Sciences Bejaia06000 Algeria University of Derby Data Science Research Centre Derby United Kingdom Kfupm Information And Computer Science Department Dhahran Saudi Arabia University of El Oued Liap Laboratory El Oued39000 Algeria

ISBN: (纸本)9798350350265

Energy optimisation using clustering remains a constant challenge in wireless sensor networks (WSNs). The high volume of data generated within these networks leads to excessive energy consumption when transferring it to the processing center. Therefore, clustering protocols, in particularly hierarchical routing protocols dedicated to WSNs, must imperatively integrate energy efficiency mechanisms in order to extend the functional lifetime of the nodes and the network. In this paper, we focus on an in-depth analysis of scalability in the Low Energy Adaptive Clustering Hierarchy (LEACH) protocol. The LEACH protocol, renowned for its random and distributed approach to WSNs energy optimisation, forms the focus of our analysis and exploration. Our study focuses in particular on the quantitative scalability of nodes and the scalability of geographical coverage. The aim is to improve our understanding of the behaviour of the LEACH protocol in large-scale environments, particularly with regard to node and network lifetime and energy management parameters. © 2024 IEEE.

关键词： Scalability

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Action recognition of skiers based on inertial sensors 7

Action recognition of skiers based on inertial sensors

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7th International conference on intelligent Computing and Signal processing, ICSP 2022

作者： Bao, Wenxia Wang, Nian Dong, Zhen Yang, Xianjun Anhui University School of Electronics and Information Engineering Hefei China Hefei Institutes of Physical Science Chinese Academy of Sciences Hefei China

ISBN: (纸本)9781665478571

In this study, we present a method for identifying ski jumpers' actions based on a variety of inertial data. Multiple convolutional neural networks are used to recognize each action phase and find the nodes with high recognition accuracy. The data acquired during ski jumping is separated into action phases and then processed to give stacked inertial signal images. According to the results, it is possible to distinguish the wearing part of a speed-type wearable inertial sensor and recognize the action phase during the ski jumping competitions more correctly and effectively. © 2022 IEEE.

关键词： Convolutional neural networks

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Simulating Home Appliance Behavior and Operational Condition-Action Rules for Autonomous Intelligence 3

Simulating Home Appliance Behavior and Operational Condition...

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3rd International conference on intelligent Computing and Next Generation networks, ICNGN 2024

作者： Ehimwenma, Kennedy Efosa Ji, Haowen Jinle, Lin Sharji, Safiya Al Cheraghy, Maryam Bowen, Yu Dept of Computer Science College of Science Mathematics & Technology Wenzhou Kean University Wenzhou China Information Technology Dept University of Technology & Applied Sciences Muscat Oman

ISBN: (纸本)9798331529222

The future of home appliances in the IoT (Internet of Things) lies in self-awareness, independent condition-action rule implementation, and device autonomy. In the concept of autonomy, agent-based IoT appliances can SLEEP and WAKE-UP independently as when necessary, perceive and compute data;and engage in communication or negotiation with other agent-based devices. In the paradigm of OOP, this paper describes various home appliances' autonomous artificial intelligent (AAI) behavior. While self-awareness borders on the appliance knowing its current status and location, self-control relates to the appliance's ability to control its outgoing and incoming data and take the appropriate action based on some given environment data conditional rules. Thus, this paper presents some IoT home appliances' operational condition-action behavior (CAB). Firstly, by simulation, then followed by the actual transformation of the CAB rules into modular programs in object-oriented paradigm for sensor and appliance agents. The WindSpeedsensor, Tempsensor, and Humiditysensor utilize the given environment data input to communicate with their respective WindowAppliance and CoffeeMachineAppliance agent, as demonstrated in this paper. In turn, the appliance agents take the decision reached by their sensors to perform some autonomous action. This model depicts independent AAI behavior of home appliances for the benefit of home owners. ©2024 IEEE.

关键词： Domestic appliances

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8th International conference on information System Design and intelligent Applications, ISDIA 2024

8th International Conference on Information System Design an...

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8th International conference on information System Design and intelligent Applications, ISDIA 2024

ISBN: (纸本)9789819748945

The proceedings contain 45 papers. The special focus in this conference is on information System Design and intelligent Applications. The topics include: Denoising and Quality Enhancement of CT Scan/X-Ray Images of Lung Disease for Enhanced Diagnosis;changing Paradigms in Dementia Care: Technology-Based Solutions;dead Drop Covert Channel Technique Using Windows Registry;A Comparison of LEACH-Like Protocols to Improve Power Consumption Efficiency in Wireless sensor networks;The Efficacy of α-Channels in PNG Image File Format for Covert Communication;smartening Energy Consumption: A Comparative Study of Energy Optimization Strategies in IoT Environments;performance Evaluation of IoT-Fog-Cloud System for Data Storage, Analysis and Visualisations Using Retrial Queues Approach;investigation in Future Autonomous Transport;comparative Analysis of Simulation Tools and IoT Platforms for Middleware;dual Band Dual Polarized Coaxial Feed Microstrip Patch Antenna for Wireless Applications;enhancing E-Learning Interactivity with Haar Cascade User Detection;a Novel Method for Implementing the IoT-Based Hybrid Energy System with Pollution Monitoring and Control in Coastal Roadways;A Novel Proportional Integral Derivative (PID) Controller-Based Control Strategy for a Formula Student Vehicle;a Bluetooth and Smartphone-Based Geofencing Solution For Monitoring Objects;performance Analysis of LoRa Communication in Suburban Environments;LPWAN Technologies in Smart Cities: A Comparative Analysis of LoRa, Sigfox, and LTE-M;forewarning Disaster Alert Systems and Mitigation Response;optimizing Cloud Computing Resource Allocation Through intelligent Strategies;ioT-Enabled Neural Network Analysis for Early Detection and Prediction of Mental Depression;connecting IoT sensors for Enhanced Dementia Disease Monitoring and Intervention;an Effective Exploration of Accessing 5G Mobile Communication That Affects E-Commerce Using IoT;smart Agriculture Farming Using Drone Automation Technology.

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8th International conference on information System Design and intelligent Applications, ISDIA 2024

8th International Conference on Information System Design an...

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8th International conference on information System Design and intelligent Applications, ISDIA 2024

ISBN: (纸本)9789819786657

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Computational sensor Fingerprints

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IEEE TRANSACTIONS ON information FORENSICS AND SECURITY 2022年 17卷 2508-2523页

作者： Korus, Pawel Memon, Nasir NYU Tandon Sch Engn 550 1St Ave New York NY 10012 USA AGH Univ Sci & Technol Dept Telecommun PL-30059 Krakow Poland

Analysis of imaging sensors is one of the most reliable photo forensic techniques, but it is increasingly challenged by complex image processing in modern cameras. The underlying photo response non-uniformity (PRNU) is distilled into a static sensor fingerprint unique for each device. This makes it easy to estimate and spoof and limits its reliability in face of sophisticated attackers. We propose to exploit computational capabilities of emerging intelligent vision sensors to design next-generation computational sensor fingerprints. Such sensors allow for running neural network inference directly on raw pixels, which enables end-to-end optimization of the entire photo acquisition and distribution pipeline. Control over fingerprint generation allows for adaptation to various requirements and threat models. In this study we provide a detailed assessment of security properties and evaluate two approaches to prevent spoofing: fingerprint generation based on local image content and adversarial training. We found that adversarial training is currently impractical, but content fingerprints deliver good performance in the considered cross-domain (RAW-RGB) setting and could provide robust best-effort protection against photo manipulation. Moreover, computational fingerprints can alleviate other limitations of PRNU, e.g., its limited reliability for dark/texture content and expensive fingerprint storage that hinders scalability. To enable this line of work, we developed a novel open-source and high-fidelity simulation environment for modeling photo acquisition and distribution pipelines (https://***/pkorus/neural-imaging).

关键词： Cameras Watermarking Optimization Artificial neural networks Security Reliability Pipelines Imaging image forensics image sensors watermarking

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