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Anonymization Techniques for Privacy Preservation in eLearning 6

Anonymization Techniques for Privacy Preservation in eLearni...

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6th Artificial Intelligence and Cloud Computing conference (AICCC) / 5th Asia Digital Image processing conference

作者： Ivanova, Malinka Trifonova, Iskra Hristov, Martin Tech Univ Sofia Fac Appl Math & Informat Dept Informat Sofia Bulgaria

ISBN: (纸本)9798400716225

Modern eLearning environments are characterized by tools to track learner behavior and collect large amount of data. This data is often used to perform various analyzes by the environment itself or may be provided to a third party to receive, for example, information about student performance. The processed data and obtained statistics can always be subject to attacks by malicious persons in order to reveal specific identities of certain learners or to find sensitive data. Therefore, various algorithms are applied to protect privacy, and they also use anonymization techniques. The purpose of the paper is to summarize possible techniques for data anonymization and to demonstrate one of their applications suitable for implementation in eLearning environments.

关键词： anonymization techniques eLearning intelligent environment privacy preservation

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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)9789819748914

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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A Low-Energy System for IoT-based Wireless sensor networks 3

A Low-Energy System for IoT-based Wireless Sensor Networks

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3rd International conference on Artificial Intelligence and Smart Energy, ICAIS 2023

作者： Asha, S. Sheshathri, V.M. Aasif, Shaik Muhammad Adithya, Srikanta Yeswanth Saveetha Engineering College Electronics and Communication Engineering Chennai India Electronics and Communication Engineering Chennai India

ISBN: (纸本)9781665462167

The Internet of Things (IoT) will enable intelligent objects to interact and exchange data, facilitating the integration of the real world with computerized structures for greater comfort and control. These organizations are more than ordinary organizations and have a great deal of influence in the field of IoT, regardless of their dominant characteristics, they face some key challenges such as versatility, safety and limited power supply on board. The rise of Wireless sensor networks (WSNs) is one of the major advances that will bring other types of disruption, necessities, and better exhibitions in the coming years. However, the processing, energy, transmitting, and memory capabilities of sensors are constrained, which might have a negative effect on agricultural production. In addition to effectiveness, these IoT-based agricultural sensors need to be protected from hostile opponents. This article has presented an application to smart agriculture by using an IoT-based WSN framework with several design levels. First, agricultural sensors gather pertinent data and use a multi-criteria decision function to select a set of cluster heads. To ensure reliable and effective data transmissions, the Signal to Noise Ratio (SNR) is also used to monitor the signal strength on the transmission connections. Simulation results prove that the proposed framework significantly improves communication performance. © 2023 IEEE.

关键词： Internet of things

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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)9789819765805

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Implementation of Cross Layer Design with Localization Techniques in Wireless sensor networks Using Deep Learning 4

Implementation of Cross Layer Design with Localization Techn...

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4th International conference on Expert Clouds and Applications, ICOECA 2024

作者： Sreethar, S. Srinivas, Regulavalasa Satya S Chanakyan, C. Prasath, S. Senthilkumar, G. Natrayan, L. School of Computer Science and Engineering Vellore Institute of Technology Tamil Nadu Vellore India Tamil Nadu Chennai India MVJ College of Engineering Department of Mechanical Engineering Karnataka Bengaluru India Mohamed Sathak A J college of Engineering Department of Mechanical Engineering Tamil Nadu Chennai India Panimalar Engineering College Department of Computer Science and Engineering Tamil Nadu Poonamallee Chennai India Saveetha School of Engineering SIMATS Department of Mechanical Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798350385793

This study addresses the integration of wireless sensor networks, machine learning models, and go-layer architecture to embellish industrial processes in small-scale manufacturing. A strong monitoring infrastructure is produced by the incorporation of various sensors, proximity, temperature, pressure, vibration, UWB, and RFID. Cross-layer arrangement, along with localization methodologies, gives spatial context to sensor information, enhancing safety, predictive maintenance, and asset monitoring. K-Nearest Neighbors (KNN), Recurrent Neural networks (RNN), Artificial Neural networks (ANN), and Decision Trees (DT) act as predictive models, exhibiting outstanding overall performance across accuracy, precision, keep in mind, and F1 Score criteria. Practical deployment in a small-scale firm, displaying CNC machines and forging stations, illustrates the machine's versatility. Results suggest the models' success in forecasting replies relying completely on dynamic sensor data, allowing actual-time selection-making. The system's usefulness supports enhanced safety measures, simpler maintenance processes, and optimal asset management. In addition to offering practical insights to organisations navigating the challenges of Industry 4.0, this research adds to the theoretical framework of move-layer layout and machine learning integration. The suggested system emerges as a complete solution for intelligent operational improvement and performance in modern day industrial settings. © 2024 IEEE.

关键词： Predictive maintenance

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Cluster Algorithm with Dual-Cluster Heads Based on Multi-Criteria Decision-Making in Heterogeneous Cognitive sensor Network 8

Cluster Algorithm with Dual-Cluster Heads Based on Multi-Cri...

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8th International conference on intelligent Computing and Signal processing, ICSP 2023

作者： Song, Xiaoying Zhang, Qilong Dalian Neusoft University of Information Dalian116023 China

ISBN: (纸本)9798350302455

Cognitive sensor networks can not only alleviate the congestion of unlicensed spectrum, but also improve the utilization of licensed spectrum, which has become a recent research hotspot. However, it faces the dual challenges of high cost and high energy consumption. The clustering routing algorithm has the advantages of high energy utilization and less data redundancy, and has become an effective solution to high energy consumption. At present, the cluster unit constructed by the existing cluster routing algorithm has only one cluster head, which results in a serious imbalance of energy consumption between the cluster head and the member nodes. In addition, the existing cluster routing algorithms do not consider the reliability of transmitted data. Based on the above problems, this paper proposes a cluster routing algorithm with dual-cluster heads based on multi-criteria decision-making for heterogeneous cognitive sensor networks. Firstly, in the process of the cognitive node electing the main cluster head, the multi-criteria decision-making method is used to determine the main cluster head. Secondly, a selection scheme of the slave cluster head and an adjustable primary cluster head competition radius adapted to the random distribution of nodes are proposed. Finally, in the cluster head transmission stage, a routing algorithm based on spectrum detection is proposed to improve the data transmission rate. The simulation results show that the proposed algorithm can not only effectively reduce the energy consumption of the cognitive sensor network, but also improve the channel detection probability of the network, thereby improving the reliability of data transmission. © 2023 IEEE.

关键词： sensor networks

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Design and Manufacturing of an Efficient Low-Cost Fire Surveillance System Based on GSM Communications and IoT Technology 3rd

Design and Manufacturing of an Efficient Low-Cost Fire Surve...

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3rd International conference on Computing and Communication networks, ICCCN 2023

作者： Marhoon, Hamzah M. Basil, Noorulden Elias, Bashar Bahaa Qas Department of Systems Engineering College of Information Engineering Al-Nahrain University Jadriya Baghdad Iraq Department of Electrical Engineering College of Engineering Mustansiriyah University Baghdad Iraq Department of Information and Communication Engineering College of Information Engineering Al-Nahrain University Jadriya Baghdad Iraq

ISBN: (纸本)9789819708918

In addition to recent technological advancements, a noticeable trend has emerged toward the development of smart cities and homes. By integrating intelligent home control components with existing household appliances, it aims to significantly reduce the use of human effort. This integration has led to decreased electricity consumption, enhanced home security against accidents and theft, and an overall improvement in residents’ comfort levels. This paper proposes the utilization of Internet of Things (IoT) technology for the design of an intelligent home fire alarm system. The suggested system is comprised of an Arduino microcontroller, a NodeMCU microcontroller, a GSM shield, a flame sensor, a buzzer, and a servo motor. Given the limitations and relatively low accuracy of flame sensors, the LM35 temperature sensor is employed in conjunction with it. Upon detecting a flame and a subsequent temperature rise beyond 50 °C, the Arduino Uno will promptly dispatch an SMS warning to the homeowner. Simultaneously, a logical "1" signal will be transmitted to the NodeMCU microcontroller. This microcontroller will then utilize IoT technology to exhibit the warning message on the pre-programmed graphical user interface (GUI). To conclude the alert sequence, the Arduino Uno microcontroller will activate the servo motor. This activation serves the purpose of initiating the opening of the exit door and triggering the alarm. Rigorous practical testing has been conducted on the implemented system, yielding consistently positive outcomes and successful results. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Internet of things

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LoRaWAN and Biosensor-Assisted Smart City Framework to Mitigate the Effects of Lung Diseases

LoRaWAN and Biosensor-Assisted Smart City Framework to Mitig...

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2024 IEEE International conference on Modeling, Simulation and intelligent Computing, MoSICom 2024

作者： Abubeker, K.M. Roberts, Michaelraj Kingston Prajitha, C. Rinesh, S. Shafeena Karim, A. Jeevanandham, S. Department of Electronics and Communication Engineering Kerala India Sri Eshwar College of Engineering Centre for Advances in Signal Processing and Wireless Sensor Networks Department of Electronics and Communication Engineering Coimbatore India Karpagam Academy of Higher Education Centre for Interdisciplinary Research Department of Electronics and Communication Engineering Coimbatore India V.S.B College of Engineering Technical Campus Department of Computer Science and Engineering Coimbatore India Sri Ramakrishna Engineering College Department of Information Technology Coimbatore India

ISBN: (纸本)9798331533311

Urbanization and industrialization in cities present substantial obstacles to air quality, resulting in detrimental effects on public health, including respiratory health. This research introduces an Internet of Things (IoT) framework for a smart city environment using LoRaWAN and sensor networks. The framework utilizes the ESP32 LoRaWAN module to provide real-time monitoring of essential air quality metrics, such as carbon monoxide (CO), nitrogen dioxide (NO2), ozone (O3), temperature, and humidity. Integrating biosensors enhances accuracy by identifying distinct biological indicators linked to respiratory well-being. The proposed work aims to use the framework in an urban setting within a global context, demonstrating its capacity to reduce the effects of lung disorders. The ESP32 LoRaWAN module enables effective communication within the sensor network up to 20 kilometers, guaranteeing a robust and adaptable solution for smart city applications. The developed framework provides a scalable and novel method for developing healthier and more sustainable cities, decreasing respiratory disorders as urban settings develop. © 2024 IEEE.

关键词： Lung cancer

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An Algorithm of Simultaneous Localization and Mapping for Mobile Robots Based on Graph Optimization

An Algorithm of Simultaneous Localization and Mapping for Mo...

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2024 International conference on Remote Sensing, Mapping, and Image processing, RSMIP 2024

作者： Wei, Kun Zheng, Xiangyu Wei, Wenqing Song, Mengjun Zhang, Jinhua Gan, Haiyun Guo, Yuan Zhang, Jianhui School of Automobile and Transportation Tianjin University of Technology and Education Tianjin China School of Mechanical and Electrical Engineering Guangzhou University Guangzhou China Department of Intelligent Connected Vehicle Tianjin CloudStrol Technology Co. Ltd. Tianjin China

ISBN: (纸本)9781510680012

Simultaneous Localization and Mapping (SLAM) is a core technology for autonomous driving of intelligent vehicles. Based on the single-sensor mapping and localization method, it cannot tackle the issues of environmental degradation and low sampling frequency, and the accuracy and robustness of the mapping and localization solutions, which needs to be further improved. With the development of Multi-sensor Fusion methods, it is possible to make full use of the complementary performance advantages of multiple sensors to fuse the localization and mapping solutions of multiple sensors, which can better meet the requirement of high-precision localization in most scenarios and enhance the robustness of the algorithm. Therefore, this paper proposes a SLAM algorithm for mobile robots based on graph optimization. Due to the large workload of the Cartographer algorithm for adjusting parameters, an optimization method is designed, and a suitable range of parameter values is processed according to this method. With the aim of improving map building accuracy and localization stability, a detection method of Scan Context fusion history frame closed-loop is proposed to improve the closed-loop detection accuracy in the LIO-SAM algorithm. Finally, mobile carts of indoor and outdoor are established in real scenarios. The paper shows that the Cartographer parameter optimization scheme is feasible and the Scan Context closed-loop detection algorithm is more robust, which improves the autonomous localization accuracy of the mobile robot in indoor and outdoor environments. © 2024 SPIE.

关键词： Mapping

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Research on Wireless sensor networks for Transmission Line On-line Monitoring Application

Research on Wireless Sensor Networks for Transmission Line O...

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2023 IEEE International conference on sensors, Electronics and Computer Engineering, ICSECE 2023

作者： Ma, Xiao Ji, Kunpeng Zhang, Minghao China Electric Power Research Institute Co. Ltd Beijing100055 China

ISBN: (纸本)9798350313734

Transmission line on-line monitoring device is the information source of line and channel environment. In recent years, there are a large number of applications in the transmission line, and some results have been achieved, but there are also many problems. For the sake of improving the quality and practicability of online monitoring devices, this paper put forward solutions for improving the transmission quality of online monitoring data of transmission lines, and studies wireless transmission communication protocol and wireless sensor gateway. As a key point, this article focuses on the application of wireless sensor network in transmission scenario. Under the architecture and protocol of 802.15.4, the tests on the actual conductor has been completed. Combined the local area wireless networking with the wide area data transmission under different situation, A complete heterogeneous network for transmission of data in the Internet of Things has been established. © 2023 IEEE.

关键词： Electric lines

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