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检索条件"任意字段=14th International Conference on COMmunication Systems and NETworkS, COMSNETS 2022"

共 2074 条记录，以下是71-80 订阅

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Intelligent Tutoring systems in Smart Learning Environments for Higher Education: A Systematic Literature Review 14th

Intelligent Tutoring Systems in Smart Learning Environments ...

引用

14th international conference on Methodologies and Intelligent systems for Technology Enhanced Learning

作者： Lopez-Goyez, Juan P. Gonzalez-Briones, Alfonso Chamorro Villarreal, Andrea F. Univ Salamanca Fac Ciencias Dept Informat & Automat Grp Invest BISITE Salamanca Spain Carchi State Polytech Univ Tulcan 040101 Ecuador

ISBN: (纸本)9783031735370;9783031735387

E-learning integrates information and communication technologies on technological platforms to facilitate access to learning, as well as make it interactive and personalized. Within e-learning, intelligent tutoring systems (ITS) use artificial intelligence to adapt content and activities to the needs of each student, perform academic monitoring and facilitate interaction with virtual learning objectives, allowing for interaction between teachers, students, and intelligent tutors. Smart learning environments (SLE) integrate ITS to create innovative, motivating, and effective learning experiences, based on educational theories and models for the teaching-learning process under the online modality. this article presents a systematic literature review (SLR) on these topics, with the objective of identifying the trends, challenges, and research opportunities in this field. Educational theories that support e-learning and promote student interaction with virtual platforms are analyzed. Student-centered ITS models focused on learning styles, and the integration of data mining and learning analytics, as well as strategies for the implementation and validation of intelligent systems in SLEs. the design of a self-adaptive architecture in the Moodle platform is proposed, for the academic monitoring of students in the online modality with the use of autonomous agents. Finally, it is concluded that the research should be geared towards adaptive learning, to perform academic monitoring focused on the student and their learning styles within the SLE.

关键词： Adaptative Learning E-Learning Higher Education Intelligent Tutoring Smart Learning Environment ICT

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Enhanced Sand Cat Swarm Optimization to Achieving Maximum Coverage for Wireless Sensor networks 14

Enhanced Sand Cat Swarm Optimization to Achieving Maximum Co...

引用

14th IEEE international conference on communication systems and Network Technologies, CSNT 2025

作者： Elumalai, J. Kumuthapriya, K. Hema, R. Sundaram, P. Sakthi Shunmuga Department of Electronics and Communication Engineering S.K.R Engineering College Ponamallee Chennai600123 India Department of Electronics and Communication Engineering Tagore Engineering college Rathinamangalam Kelambakkam - Vandalur Rd Tamil Nadu Chennai600127 India

ISBN: (纸本)9798331531935

When it comes to ensuring the effective operation of Wireless Sensor networks (WSNs), it is essential to achieve total coverage of the region that is being targeted. However, the random initial deployment of sensor nodes often leads to inefficient positioning, resulting in coverage gaps. To mitigate this issue, an improved algorithm based on the Optimization of the Virtual Force-Directed Enhanced Sand Cat Swarm (SCSO) is introduced to optimize sensor node placement, thereby reducing coverage voids and enhancing overall network coverage. this approach enhances the natural hunting behavior of sand cats and integrates a nonlinear convergence mechanism to improve their sensitivity. Moreover, the algorithm incorporates a virtual resultant force as a perturbation factor during node position updates, accelerating convergence and enhancing optimization efficiency. Simulation results, based on the deployment of 30 sensor nodes within a 60 m × 80 m area, demonstrate that the SCSO algorithm that was proposed is capable of achieving a coverage rate (CR) of approximately 99.61%, reflecting a 29.3% increase over the baseline. Additionally, the algorithm maintains superior coverage performance across different sensor node densities and monitoring region sizes. © 2025 IEEE.

关键词： Sensor nodes

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ICEIEC 2024 - Proceedings of 2024 IEEE 14th international conference on Electronics Information and Emergency communication

ICEIEC 2024 - Proceedings of 2024 IEEE 14th International Co...

引用

14th IEEE international conference on Electronics Information and Emergency communication, ICEIEC 2024

ISBN: (纸本)9798350361889

the proceedings contain 62 papers. the topics discussed include: harmonic source identification based on RF-GSO-LSTM model;APT detection based on RSDN framework;research on the evaluation method of emergency rescue support capability of civil aviation airports based on decision tree;coverage hole aware data routing for mobile sink wireless sensor networks;two-stage floor plan recognition with a network employing attention mechanism;personal credit evaluation model based on federated learning;underwater image enhancement embedded algorithm based on improved ghost module;research on a new high speed harmonic identification technology for power systems based on digital twins;and Wi-Fi indoor localization based on enhanced dual-layer BiLSTM network.

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Network and Security Solution using Jaya Algorithm-based graph search for Drone Transportation 14

Network and Security Solution using Jaya Algorithm-based gra...

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14th IEEE international conference on communication systems and Network Technologies, CSNT 2025

作者： Patel, Pramod Kumar Khan, Nikhat Raza Mishra, Aishwarya Agrawal, Akrati Daravai, Archana Department of Electronics and Communication Engineering IES College of Technology Bhopal India Department of Computer Science and Engineering IES College of Technology Bhopal India

ISBN: (纸本)9798331531935

this study reports the suitability of several algorithms to identify the best course in a network of lines that is utilized to guide an Unmanned Arial Vehicle (UAV) aircraft in a safety configuration. It utilizes a waypoint graph using Jaya algorithm for this purpose, which is based on the GPS coordinates of flight route movement locations in three dimensions. It performs a comparative analysis of the drone path prediction using a dynamic adjacency matrix that represents the shortest path in the graph. In the context of the area observation mode, evaluate the benefits and drawbacks of the two routing methods. © 2025 IEEE.

关键词： Target drones

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Ad-Hoc Marine networks Suitable for the Data communication Needs of Fishing Vessels 14

Ad-Hoc Marine Networks Suitable for the Data Communication N...

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14th international conference on Computing communication and Networking Technologies, ICCCNT 2023

作者： Gangaprasad, G. Seetha Ramanjaneyulu, B. University Guntur Department of Ece Vfstr India

ISBN: (纸本)9798350335095

Even though data communication infrastructures are developed sufficiently in urban areas, the options available to people travelling on the seas are still very much limited. Satellite-based communication is the dominant one available to them, but it involves very high costs. So, in recent times, some proposals are made to offer cost-effective maritime network solutions based on the mobile ad-hoc network (MANET) systems. A brief review of those efforts along with the legacy systems of maritime communications are presented here. Model scenario of a MANET system that can be used on the seas is also presented, the simulation of which is carried out in OmNet++ environment. the throughputs and packet error rates obtained for various scenarios suggest that it is possible to have a working solution of satisfactory throughput if appropriate measures are taken to adjust the transmission power levels, and routing options dynamically, based on the prevailing conditions. © 2023 IEEE.

关键词： Cost effectiveness

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Prescribed-Time Consensus of Multi-Agent systems with Distributed Time-Varying Dynamic Event-Triggered Strategy 14

Prescribed-Time Consensus of Multi-Agent Systems with Distri...

引用

14th international conference on Information Science and Technology, ICIST 2024

作者： Li, Meilin Li, Tieshan School of Automation Engineering University of Electronic Science and Technology of China Chengdu China

ISBN: (纸本)9798350353334

In this paper, the prescribed-time consensus control problem for multi-agent systems under undirected communication topology is considered. First, in order to save communication resource among agents, a dynamic event-triggered mechanism based on intermittent communication strategy is proposed. Additionally, the triggering conditions can be evaluated without real-time monitoring of neighboring agents' states and the communication resources of the whole closed-system can be greatly reduced. then, a distributed control protocol based on a time-varying gain formulated by the parametric Lyapunov equation is presented to achieve the prescribed-time consensus control. Furthermore, the expression of the minimum inter-event time which has a strict positive lower bound is derived. Finally, the feasibility of the designed control method is validated through simulation results. © 2024 IEEE.

关键词： Multi agent systems

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Research on mQAM-OFDM Wireless Optical communication System with Adaptive Underwater Channel Characteristics Based on Meta-Learning 14

Research on mQAM-OFDM Wireless Optical Communication System ...

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14th international conference on communication Software and networks (ICCSN)

作者： Wang, Xinge Yin, Hongxi Wang, Jianying Zeng, Lingbiao Ji, Xiuyang Liu, Anliang Dalian Univ Technol Sch Informat & Commun Engn Dalian Peoples R China Dalian Maritime Univ Sch Informat Sci & Technol Dalian Peoples R China

ISBN: (纸本)9781665453288

An adaptive mQAM-OFDM wireless optical communication system for underwater dynamic-variable environments based on Meta-learning deep neural networks, is proposed in this paper. the receiver in this system firstly employs Meta-learning to train an initial model to obtain the general characteristics of different water quality types of optical channels, making it rapidly adaptive to unknown changes in underwater channel characteristics for optimal reception. It is shown by simulation experiment that the system has stronger learning capability, faster convergence and lower BER performance in than conventional LS-OFDM systems, machine learning-based CDNN- and P-DNN-OFDM systems.

关键词： underwater wireless optical communication Metalearning signal detection adaptive channel estimation

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A Two-Way Integrated communication System for the Deaf and Mute 1

引用

14th international conference on Soft Computing and Pattern Recognition, SoCPaR 2022, and the 14th World Congress on Nature and Biologically Inspired Computing, NaBIC 2022

作者： thomas, Godson Rejithkumar, Gokul Sreevidya, P. Riju, Beenu Kochi India

ISBN: (数字)9783031275241

ISBN: (纸本)9783031275234

A non-disabled person finds it onerous to learn sign language to communicate with the deaf-mutes. this paper discusses a two-way communication system that bridges this communication gap. the proposed system is a portable standalone embedded system that acts as a real-time sign language translator between the deaf-mutes and non-mutes. A fingerspelling data set of Indian sign language that includes some commonly used words were created for training and validating the model. the system uses computer vision techniques and customized speech translator APIs, enabling two-way communication between the deaf-mutes and non-mutes. © 2023, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Gesture recognition

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Optimized Power Quality Monitoring in Electrical systems Using Adaptive Recurrent Neural networks 14

Optimized Power Quality Monitoring in Electrical Systems Usi...

引用

14th IEEE international conference on communication systems and Network Technologies, CSNT 2025

作者： Kumar, R. Muthu Vaishnavi, K. Swetha, R. Seenivasan, R. Praveenkumar, M. Department of Electrical and Electronics Engineering Erode Senguthar Engineering College Erode638057 India

ISBN: (纸本)9798331531935

the reliable and efficient delivery of electrical power is crucial in modern societies, where a wide range of industries, infrastructure, and everyday life depend on a stable and high-quality power supply. However, the increasing complexity and integration of electrical systems, coupled with the growing use of power electronics and non-linear loads, have led to the emergence of various power quality disturbances that have significant impacts on the performance and lifespan of electrical equipment. To overcome these issues this proposes a leveraging adaptive RNN (Recurrent Neural Network) for enhanced detection of power quality disturbances in electrical systems. the methodology begins with comprehensive data collection from various power system sources to capture a wide range of disturbance patterns. Preprocessing techniques, including data cleaning and remove null values, are applied to enhance data quality and ensure accurate feature extraction. Data analysis and exploration then provide insight into underlying trends and characteristics within the dataset, facilitating the selection of relevant features. these features are then split into training and test datasets to build a robust predictive model. An adaptive RNN model is utilized to detect and classify disturbances, leveraging its ability to handle sequential data efficiently. the model’s performance is assessed through python, followed by accuracy of 91% and F1 Score of 0.89 evaluation to validate its reliability. this approach ensures an effective and adaptive solution for real-time PQDS monitoring, thereby enhancing the resilience and reliability of power systems in dynamic operating environments. © 2025 IEEE.

关键词： Recurrent neural networks

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Proceedings of the 14th international conference on Business Information Security, BISEC 2023

Proceedings of the 14th International Conference on Business...

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14th international conference on Business Information Security, BISEC 2023

the proceedings contain 9 papers. the topics discussed include: deep blockchain to enable scalable web applications;security issues in robotic platforms, sensor networks and smart cities;cybersecurity issues in robotic platforms;future of smart cities security challenges – proactive modelling & identification;secure course completion credentialing using Hyperledger fabric;energy-efficient routing in UAVs supported perimeter security networks;energy-efficient routing in UAVs supported perimeter security networks;reducing the WSN’s communication overhead by the SD-SPDZ encryption protocol;the interplay of social and robotics theories in AGI alignment: navigating the digital city through simulation-based multi-agent systems;and advanced security mechanisms in the spring framework: JWT, OAuth, LDAP and Keycloak.

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