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5th international conference on Green Technology and Sustainable Development, GTSD 2020

5th International Conference on Green Technology and Sustain...

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5th international conference on Green Technology and Sustainable Development, GTSD 2020

ISBN: (纸本)9783030623234

the proceedings contain 54 papers. the special focus in this conference is on Green Technology and Sustainable Development. the topics include: Prediction of Compressive Strength of Concrete Using Recycled Materials from Fly Ash Based on Ultrasonic Pulse Velocity and Design of Experiment;performance of Foundation on Bamboo–Geotextile Composite Improved Soft Soil in Mekong Delta through Both Plate Load Test and Numerical Analyses;prediction of Long Span Bridges Response to Winds;effect of Wall thickness and Node Diaphragms on the Buckling Behavior of Bamboo Culm;proposed Novel Fish Freshness Classification Using Effective Low-Cost threshold-Based and Neural Network Models on Extracted Image Features;machine Learning-Based Evolutionary Neural Network Approach Applied in Breast Cancer Tumor Classification;malware Classification by Using Deep Learning Framework;attention Mechanism for Fashion Image Captioning;editors Preface;mobile Data Traffic Offloading with Content Centric Networking;An Intelligent Inverse Kinematic Solution of Universal 6-DOF Robots;A PD-Folding-Based Controller for a 4DOF Robot;designing and Analysis of a Soft Robotic Arm;ROV Stabilization Using an Adaptive Nonlinear Feedback Controller;on Robust Control of Permanent Magnet Synchronous Generators Using Robust Integral of Error Sign;a Flexible Sliding Mode Controller for Robot Manipulators Using a New Type of Neural-Network Predictor;Optimized Gait Planning of Biped Robot Using Multi-objective JAYA Algorithm;Improve Stability of Deep Flux Weakening Operation Control Strategies for IPMSM;Muscle-Gesture Robot Hand Control Based on sEMG Signals Utilizing Deep Neural Networks;techno-Economic Analysis of Grid Connected Photo-Voltaic Power Plant in Vietnam;stability Identification of Power System Based Neural Network Training.

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2022 3rd international conference on Big Data, Artificial Intelligence and Internet of things Engineering, ICBAIE 2022

2022 3rd International Conference on Big Data, Artificial In...

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6th international conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), I-SMAC 2022

ISBN: (纸本)9781665469418

the proceedings contain 198 papers. the topics discussed include: automatic fish detection in underwater videos using machine learning;a prediction model for minimization of flood effects using machine learning algorithms;advanced deep learning-based controller for robust EV speed management;real time conversion of American sign language to text with emotion using machine learning;a survey on filter pruning techniques for optimization of deep neural networks;a review paper on the application of machine learning for ad-hoc network;neural network model structure and node optimization based on mathematical statistics;intelligent measurement information software for ai-enabled education based on Watson studio;artificial intelligence and advanced technology based bridge safety monitoring system;and an efficient object detection and classification from restored thermal images based on mask RCNN.

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Attacking and Defending DNP3 ICS/SCADA systems 18

Attacking and Defending DNP3 ICS/SCADA Systems

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18th Annual international conference on Distributed computing in Sensor systems (DCOSS)

作者： Kelli, Vasiliki Radoglou-Grammatikis, Panagiotis Sesis, Achilleas Lagkas, thomas Fountoukidis, Eleftherios Kafetzakis, Emmanouil Giannoulakis, Ioannis Sarigiannidis, Panagiotis Univ Western Macedonia Dept Elect & Comp Engn Kozani 50100 Greece 0Infin Ltd Imperial Off London E6 2JG England Int Hellen Univ Dept Comp Sci Kavala Campus Kavala 65404 Greece Sidroco Holdings Ltd Petraki Giallourou 22Off 11 CY-1077 Nicosia Cyprus Eight Bells Ltd Agias Paraskevis 23 CY-2002 Nicosia Cyprus

ISBN: (纸本)9781665495127

the highly beneficial contribution of intelligent systems in the industrial domain is undeniable. Automation, supervision, remote control, and fault reduction are some of the various advantages new technologies offer. A protocol demonstrating high utility in industrial settings, and specifically, in smart grids, is Distributed Network Protocol 3 (DNP3), a multi-tier, application layer protocol. Notably, multiple industrial protocols are not as securely designed as expected, considering the highly critical operations occurring in their application domain. In this paper, we explore the internal vulnerabilities-by-design of DNP3, and proceed with the implementation of the attacks discovered, demonstrated through 8 DNP3 attack scenarios. Finally, we design and demonstrate a Deep Neural Network (DNN)-based, multi-model Intrusion Detection systems (IDS), trained with our experimental network flow cyberattack dataset, and compare our solution with multiple machine learning algorithms used for classification. Our solution demonstrates a high efficiency in the classification of DNP3 cyberattacks, showing an accuracy of 99.0%.

关键词： cyberattack DNP3 ICS Intrusion Detection SCADA

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Innovative cotton management system: From field to cotton gin 11

Innovative cotton management system: From field to cotton gi...

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11th international conference on Information and Communication Technologies in Agriculture, Food and Environment, HAICTA 2024

作者： Menexes, Ioannis Kateris, Dimitrios Bochtis, Dionysis 6th km Charilaou-Thermi Rd. Thessaloniki57001 Greece

this paper presents an innovative cotton management system designed to enhance the marketability of cotton in Greece by preventing the mixing of different varieties during harvesting and ginning. the system involves grouping fields by cotton variety, using baling cotton pickers, and assigning each bale a unique identity with information on variety, weight, and moisture content. the study explores various routing algorithms to optimize the transportation of cotton, including the Traveling Salesman Problem (TSP) and its variations, ensuring efficient and cost-effective logistics. the proposed system provides cotton producers and cooperatives with the tools to manage their production and strengthen their bargaining power independently, marking a significant advancement in cotton management in Greece. © 2024 Copyright for this paper by its authors.

关键词： Cotton

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Automatic Decision Algorithm of Human Resource Management System Based on Reinforcement Learning

Automatic Decision Algorithm of Human Resource Management Sy...

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2023 international conference on Internet of things, Robotics and Distributed computing, ICIRDC 2023

作者： Du, Haoxuan Na, Lei The Bartlett School of Sustainable Construction University College London LondonWC1E 6BT United Kingdom Management Consulting Branch CCTEG Coal Industry Planning Institute Beijing100120 China

ISBN: (纸本)9798350375275

Human resource management (HRM) plays a key role in modern organizations, and its efficiency and effectiveness are crucial to the success of the organization. this study aims to explore and develop an automatic decision-making algorithm for HRM systems based on Reinforcement Learning (RL), in order to improve the quality and efficiency of HRM. this article proposes a dual DQN (DDQN) algorithm based on the Deep Q network (DQN) and dual Q-learning algorithms. Two independent DQN are introduced, which are used to select actions and evaluate the value of actions respectively. the parameters of these two networks are updated independently during the training process. At each time step, one Q-network is used to select an action, and the other is used to evaluate the value of the action. It is found that RL technology has great potential, which can meet various HRM challenges, including decision-making in employee recruitment, performance evaluation and training. the intelligent decision algorithm is expected to play a role in the field of HRM. © 2023 IEEE.

关键词： Reinforcement learning

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CC-Guard: An IPv6 Covert Channel Detection Method Based on Field Matching 24

CC-Guard: An IPv6 Covert Channel Detection Method Based on F...

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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： Wang, Jichang Zhang, Liancheng Li, Zehua Guo, Yi Cheng, Lanxin Du, Wenwen School of Cyber Science and Engineering Zhengzhou University Zhengzhou City China National Digital Switching System Engineering and Technological Research Center Zhengzhou City China China Xi'an Satellite Control Center Xi'an City China

ISBN: (纸本)9798350319934

As the IPv6 protocol has been rapidly developed and applied, the security of IPv6 networks has become the focus of academic and industrial attention. Despite the fact that the IPv6 protocol is designed with security in mind, due to insufficient defense measures of current firewalls and intrusion detection systems for IPv6 networks, the construction of covert channels using fields not defined or reserved in IPv6 protocols may compromise the information systems. By discussing the possibility of constructing storage covert channels within IPv6 protocol fields, 10 types of IPv6 covert channels are constructed with undefined and reserved fields, including the flow label field, the traffic class field of IPv6 header, the reserved fields of IPv6 extension headers and the code field of ICMPv6 header. An IPv6 covert channel detection method based on field matching (CC-Guard) is proposed, and a typical IPv6 network environment is built for testing. In comparison with existing detection tools, the experimental results show that the CC-Guard not only can detect more covert channels consisting of IPv6 extension headers and ICMPv6 headers, but also achieves real-time detection with a lower detection overhead. © 2022 IEEE.

关键词： Network security

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EMaGer: A Wearable Full-Circumference HD-EMG Sensor and Data Augmentation Method for Robust Hand Gesture Recognition

EMaGer: A Wearable Full-Circumference HD-EMG Sensor and Data...

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45th Annual international conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (EMBC)

作者： Chamberland, Felix Buteau, Etienne Tam, Simon Fortier, Paul Boukadoum, Mounir Campeau-Lecours, Alexandre Gosselin, Benoit Univ Laval Dept Elect & Comp Engn Quebec City PQ G1V 0A6 Canada Univ Quebec Montreal Dept Comp Sci Montreal PQ H3C 3P8 Canada Univ Laval Dept Mech Engn Quebec City PQ G1V 0A6 Canada

ISBN: (纸本)9798350324471

this work presents EMaGer, a new 360 degrees 64-channel high-density electromyography (HD-EMG) bracelet combined with an original data augmentation method for improved robustness in gesture recognition. By leveraging homogeneous electrode density and powerful deep learning techniques, the sensor is capable of rotation invariance around the arm axis, thus increasing gesture recognition robustness to electrode movement and inter-session evaluation. the system is made of a 4x16 electrode array covering the full circumference of the limb, and uses a sampling frequency of 1 kHz and a 16-bit resolution. the sensor's uniform and adjustable geometry paired with an array barrel shifting data augmentation (ABSDA) technique allows a convolutional neural network to maintain a 76.98% inter-session classification accuracy for a 6 gestures dataset, from a baseline intra-session accuracy of 93.75%. High inter-session classification accuracy decreases the training burden for users of EMG control systems such as myoelectric prostheses by minimizing calibration requirements. the same methods applied with different state-of-the-art sensors are demonstrated to be less effective. thus, this work evidences the importance of co-designing the EMG sensor system with the gesture inference algorithms to leverage synergistic properties and solve state-of-the-art challenges.

关键词： Electrodes

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19th international Symposium on Distributed computing and Artificial Intelligence, DCAI 2022

19th International Symposium on Distributed Computing and Ar...

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19th international Symposium on Distributed computing and Artificial Intelligence, DCAI 2022

ISBN: (纸本)9783031232091

the proceedings contain 22 papers. the special focus in this conference is on Distributed computing and Artificial Intelligence. the topics include: Computer Vision: A Review on 3D Object Recognition;An IoUT-Based Platform for Managing Underwater Cultural Heritage;overview: Security in 5G Wireless systems;a Study on the Application of Protein Language Models in the Analysis of Membrane Proteins;visualization for Infection Analysis and Decision Support in Hospitals;An Intelligent and Green E-healthcare Model for an Early Diagnosis of Medical Images as an IoMT Application;towards Highly Performant Context Awareness in the Internet of things;adaptive System to Manage User Comfort Preferences and Conflicts at Everyday Environments;ML-Based Automation of Constraint Satisfaction Model Transformation and Solver Configuration;race Condition Error Detection in a Program Executed on a Device with Limited Memory Resources;the Impact of Covid-19 on Student Mental Health and Online Learning Experience;threat Detection in URLs by Applying Machine Learning algorithms*;an Approach to Simulate Malware Propagation in the Internet of Drones;the Use of Corporate Architecture in Planning and Automation of Production Processes;Towards Ontology-Based End-to-End Domain-Oriented KBQA System;TFEEC: Turkish Financial Event Extraction Corpus;denial of Service Attack Detection Based on Feature Extraction and Supervised Techniques;automating the Implementation of Unsupervised Machine Learning Processes in Smart Cities Scenarios;Intelligent Model Hotel Energy Demand Forecasting by Means of LSTM and GRU Neural Networks;explainable Artificial Intelligence on Smart Human Mobility: A Comparative Study Approach.

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the Application of EDI in international Trade and the Security of Its Integration with Internet 6th

The Application of EDI in International Trade and the Securi...

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6th international conference on Innovative computing, IC 2023

作者： Sun, XunShuang College of International Trade Anhui Institute of International Business Anhui Hefei231100 China

ISBN: (纸本)9789819922864

the main purpose of this study is to understand the role of EDI in international trade and its integration with the Internet. It will also study security issues related to these two technologies and their impact on economic development. It also has many branches, including chambers of Commerce, trade associations and professional organizations. To promote trade between Member States and the rest of the world through electronic means such as electronic data exchange or Internet-based trading systems. this paper summarizes the existing literature on this subject and discusses some key issues related to it, such as: (1) how to use EDI to protect data flow;(2) How to design security network;(3) What are the risks involved in using these technologies? this study aims to contribute to a better understanding of these important issues by proposing an analysis based on theoretical findings. © 2023, the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： international trade

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High Quality-Factor Planar Inductors Compatible with Flexible Large-Area Electronics for Integrated IoT and 5G/6G Applications 5

High Quality-Factor Planar Inductors Compatible with Flexibl...

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5th IEEE international Flexible Electronics Technology conference, IFETC 2023

作者： Ma, Yue Wagner, Sigurd Verma, Naveen Sturm, James C. Princeton University Department of Electrical and Computer Engineering PrincetonNJ08544 United States

ISBN: (纸本)9798350332094

Resonant operation, exploiting high quality-factor planar inductors, has recently enabled giga-Hertz applications in large-Area electronics, opening up a new technology platform for large-scale and flexible wireless systems. this work presents the design, analysis, and characterization methodology of flex-compatible large-Area planar inductors with a record-high quality factor of up to 65 in the 2.4-GHz frequency band. the inductor design and analysis address a key frequency limiter to recently demonstrated large-Area and conformal wireless systems for integrated Internet of things and 5G/6G applications. © 2023 IEEE.

关键词： Internet of things

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