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检索条件"任意字段=Conference on Internet Quality and Performance and Control of Network Systems"

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Sentiment Classification of Features in e-Health Adoption: A Technical and Security Approach Using Convolutional Neural network (CNN)

Sentiment Classification of Features in e-Health Adoption: A...

引用

2024 IEEE International conference on internet of Things and Intelligence systems, IoTaIS 2024

作者： Br Sembiring Depari, Devi Sonya Fauzi, Rahmat Fa’rifah, Riska Yanu Information System Department School of Industrial and System Engineering Telkom University Bandung Indonesia

ISBN: (纸本)9798331521219

Indonesia ranks third globally in e-Health utilization, which is carried out by 57% of respondents. It shows that public awareness of the importance of technology in the health sector has changed significantly. This awareness needs to be continuously enhanced. However, this is not in line with the use of health services for pregnant women. This is related to the factor of adopting health technology that is in line with the features of e-Health itself. This research examines sentiment analysis on 17 e-Health in Indonesia to gain in-depth insight into user perceptions and responses related to features, especially Technical Factors and Security/Privacy Factors taken through the Google Playstore. The methods include sentiment labelling with TextBlob and modelling using Convolutional Neural network (CNN). The overall model produced an accuracy of 71.67%, indicating that the model is most reliable in classifying aspects of Perceived Ease of Use and performance Risk. This research is expected to provide valuable insights for application developers and the government in optimizing the quality and trust in e-Health in Indonesia. ©2024 IEEE.

关键词： Electronic health record

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performance Characteristics of Selected network Topology in a Software-Defined networking QoS Testing Framework 4

Performance Characteristics of Selected Network Topology in ...

引用

4th International conference on Frontiers of Computers and Communication Engineering, FCCE 2023

作者： Yoo, Hyeong Seon Yu, William Emmanuel S. Ateneo de Manila University Department of Information Systems and Computer Science Quezon City Philippines

ISBN: (纸本)9798350333169

quality of Service in SDN/OpenFlow can be provided by making use of queues and their management techniques. This allows for better and more fine-grained control of network traffic. In this study, we test a Class-based Queuing (CBQ) algorithm for QoS provision that classifies network traffic according to the application (e.g., video traffic or HTTP traffic) over a selection of topology forms from the internet Topology Zoo (ITZ). To accomplish this, we utilize a Mininet-based QoS Testing framework that allows for testing of various QoS algorithms. To select the networks to be tested, we use K-means clustering over the ITZ dataset according to network size for random sampling within each cluster. We show that under CBQ, HTTP stress test performance was better in clusters with smaller network size, while VLC video performance remained similar throughout clusters. KPI analysis also shows that clients closer to servers exhibited better performance than those farther away, while VLC video performance remained consistent throughout the network. The results show that the framework is able to satisfy QoS requirements while showing performance differences across various simulated network topologies. © 2023 IEEE.

关键词： network topology

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internet of Things Intercommunication Using SocketIO and WebSocket with WebRTC in Local Area network as Emergency Communication Devices 8

Internet of Things Intercommunication Using SocketIO and Web...

引用

8th IEEE International conference on Software Engineering and Computer systems, ICSECS 2023

作者： Ariffin, Nur Izzaty Hamdan, Muhd. Aidil Syazwan Kamarulzaman, Syafiq Fauzi Ascenity Solutions Enterprise Pahang Malaysia University Malaysia Pahang Al-Sultan Abdullah Pahang Malaysia

ISBN: (纸本)9798350310931

The Emergency Intercom System (EIS) is a communication and video conferencing system designed to enhance emergency response in areas, such as malfunctioning lifts. This paper presents a feasibility analysis of EIS as internet of things device, focusing on the utilization of WebRTC over WebSocket, ***, and LAN device hostname assignment. The study evaluates performance metrics including latency, throughput, dropped calls, lost packets, audio and video quality, resource utilization, and network bandwidth. The results indicate that EIS offers acceptable latency, sufficient throughput for simultaneous calls, minimal dropped calls and lost packets, and satisfactory audio and video quality. The system demonstrates effective communication and video conferencing capabilities, making it a promising solution for improving emergency response in areas. The findings highlight the potential for further research to optimize performance, address security considerations, and extend the system's applicability in diverse emergency scenarios. © 2023 IEEE.

关键词： Intercom systems

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LEOTP: An Information-centric Transport Layer Protocol for LEO Satellite networks 43

LEOTP: An Information-centric Transport Layer Protocol for L...

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43rd IEEE International conference on Distributed Computing systems (ICDCS)

作者： Jiang, Li Zhang, Yihang Yin, Jinyu Zhang, Xinggong Liu, Bin Peking Univ Wangxuan Inst Comp Technol Beijing Peoples R China Tsinghua Univ Dept Comp Sci & Technol Beijing Peoples R China

ISBN: (纸本)9798350339864

Low Earth orbit (LEO) satellite networks have attracted extensive research due to their potential to provide high-quality internet access services. However, the existing TCP variants, which are designed for terrestrial networks, can hardly work in LEO satellite networks with characteristics such as error-prone, bandwidth variations, and link switching. To address these challenges, in this paper we present a new information-centric transport layer protocol LEOTP to guarantee reliable, high-throughput, and low-latency data transmission in LEO satellite networks. It leverages the idea of Information-Centric networking (ICN) with a Request-Response transmission model and in-network caching. The connectionless transmission paradigm in LEOTP makes it resilient to dynamic topology changes. The caches equipped in intermediate nodes help to recover packet loss while the hop-by-hop congestion control mechanism provides a fast reaction to time-varying network conditions. We evaluate the performance of LEOTP in emulated Starlink constellation, which shows that it increases the throughput by 8%-12% with 40%-60% delay reduction compared with the state-of-the-art TCP variants in the transcontinental data transmission.

关键词： LEO satellite networks transport layer protocol ICN segmented transmission control

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Offloading Robotic and UAV applications to the network using programmable data planes

Offloading Robotic and UAV applications to the network using...

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4th IEEE conference on network Function Virtualization / 9th Software Defined networks conference (IEEE NFV-SDN)

作者： Rodriguez Cesen, Fabricio E. Rothenberg, Christian Esteve Univ Campinas UNICAMP Campinas Brazil

ISBN: (纸本)9798350302547

Next-generation 5G networks are rapidly expanding to support the growing demand for efficient connectivity in internet of Things (IoT) and Machine-to-Machine (M2M) applications across various sectors (e.g., agriculture, automotive, healthcare, smart cities, and manufacturing). Industrial internet of Things (IIoT) promises to transform manufacturing through Digital Twins while Industry 4.0 advances digitalization with Cyber-Physical systems (CPS), machine learning, big data, and cloud computing. Hence, achieving Ultra-low latency (ULL) is crucial for applications like robotic control. Although 5G powered by Software-Defined networking (SDN) and network Function Virtualization (NFV) have improved the network capacity and reduced the ULL constraints, challenges persist due to wireless signal unpredictability. To address these issues, this research proposes leveraging in-network applications to the network edge to implement ULL solutions for industrial and Unmanned aerial vehicles (UAVs) applications. Furthermore, we propose the hardware-based P7 emulation environment to evaluate data plane applications' performance, feasibility, effectiveness, and impact.

关键词： internet of things

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Group-Centric Scheduling for Industrial Edge Computing networks with Incomplete Information 44

Group-Centric Scheduling for Industrial Edge Computing Netwo...

引用

44th IEEE International conference on Distributed Computing systems (ICDCS)

作者： Zhu, Tongxin Zou, Ouming Fang, Xiaolin Luo, Junzhou Li, Yingshu Cai, Zhipeng Southeast Univ Dhaka Bangladesh Georgia State Univ Atlanta GA 30303 USA

ISBN: (纸本)9798350386066;9798350386059

The Industrial Edge Computing (IEC) network has recently received considerable attention, where industrial devices offload their computation-intensive and delay-sensitive tasks to servers located at the network edge. Task offloading scheduling is a fundamental problem in IEC networks to achieve satisfactory quality of service. Many prior efforts have been devoted to scheduling task offloading for networks with complete information, while the complete information is hard or even infeasible to acquire by the scheduler. Therefore, their performance degrades in IEC networks with incomplete information. Scheduling task offloading for IEC networks with incomplete information is urgent and presents great technical challenges. This paper proposes a group-centric task offloading framework tailored for IEC networks with incomplete information, and models the minimum delay scheduling problem as a Partially Observable Markov Decision Process. Then, the SGOS algorithm integrating the Long Short-Term Memory with Soft Actor-Critic networks in reinforcement learning is proposed to devise online task offloading schedules for IEC networks with incomplete information. Extensive experimental results verify that the SGOS algorithm can achieve the best performance compared with baseline schemes in terms of major metrics, including convergence, delay, and workload balance.

关键词： Industrial internet of Things Mobile Edge Computing Incomplete Information Offloading Scheduling

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Sensor-Weapon-Target Assignment Based on Hopfield Neural network 43

Sensor-Weapon-Target Assignment Based on Hopfield Neural Net...

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43rd Chinese control conference (CCC)

作者： Wang, Yujue Xin, Bin Wang, Qing Beijing Inst Technol Sch Automat Beijing Peoples R China

ISBN: (纸本)9798350366907;9789887581581

This study focuses on the dual-objective optimization problem of Sensor-Weapon-Target Assignment (SWTA), aiming to minimize the expected threat values of incoming targets during combat while considering the minimal consumption of resources for effective resource allocation. We propose an innovative solution based on the Hopfield neural network by transforming the optimization model of the problem and introducing the energy function of the Hopfield neural network, which linearly combines the two optimization objectives. The states of the neural network correspond to the final allocation matrix, and by randomly adjusting weights, the neural network can converge to different solutions, ultimately obtaining the Pareto front. We designed scenarios for both small and large-scale cases in various combat situations and compared this method with traditional algorithms GA and PSO. The comparison algorithms also use linearly weighted objectives to solve the Pareto front. Experimental results indicate that in most cases, the Hopfield neural network demonstrates superior performance, achieving high-quality solutions at a lower time cost. Compared to traditional GA and PSO algorithms, it exhibits outstanding effectiveness in solving the SWTA problem. This research provides an advanced and reliable approach for military combat decision-making and offers valuable insights for the future development of intelligent systems.

关键词： Hopfield network Sensor Weapon Target Assignment Genetic Algorithm Particle Swarm Optimization

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performance Improvement control Strategy of Microgrid Multi-Inverter Parallel System 7

Performance Improvement Control Strategy of Microgrid Multi-...

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7th IEEE conference on Energy internet and Energy System Integration, EI2 2023

作者： Lu, Heng Hu, Changbin Luo, Shanna Li, Xuecheng Huang, Haiyang Deng, Jufu University of Duisburg-Essen Department of Automatic Control and Complex Systems Duisburg Germany North China University of Technology College of Electrical and Control Engineering Beijing China

ISBN: (纸本)9798350345094

This paper develops a performance improvement control strategy based on residual generator to improve the control performance of the multi-inverter parallel system in the presence of load disturbances and line parameter perturbation. This study establishes the state space models of the electrical network and inverters to analyze the performance degradation issues. The model-match technique and multi-agent consistency algorithm are used to design the dynamic and steady-state performance improvement controllers, respectively. Experimental results validate the effectiveness of the proposed control method. © 2023 IEEE.

关键词： Electric loads

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Smart Agricultural Monitoring and Automated Irrigation through an IoT-Based Wireless Sensor network using ESP32: A MATLAB Analysis 9

Smart Agricultural Monitoring and Automated Irrigation throu...

引用

9th International conference on control and Robotics Engineering (ICCRE)

作者： Ramirez, Nahomy Jose Pineda Duke, Alicia Maria Reyes Univ Tecnol Ctr Amer Fac Engn UNITEC San Pedro Sula Honduras

ISBN: (纸本)9798350372694;9798350372700

The advancement of agricultural technologies in Honduras is paramount to bolster productivity in the sector. Embracing cutting-edge solutions like internet of Things (IoT) and ESP32 microcontrollers holds the potential to elevate crop quality, foster innovation and competitiveness, slash production costs, and drive rural development. Leveraging sophisticated tools such as MATLAB enables farmers and agricultural experts to harness mathematical matrix analysis for informed decision-making based on real-time data from a network of wireless sensors integrated into this prototype. Accessible through the Blynk platform, this streamlined approach marks a significant stride towards harnessing advanced technologies to revolutionize agriculture and uplift the livelihoods of Honduran farmers. The integration of IoT and Precision Agriculture (PA) technologies is vital. A centralized online platform tailored for Honduran farmers allows seamless access to real-time data from wireless sensors, covering crucial factors like weather conditions and crop health. The prototype's sensing data on coffee cultivation yielded 1000 data entries, which were analyzed to demonstrate consistent alignment with crop growth-promoting variables. Air temperature consistently ranged between 20 degrees C and 24 degrees C, which is the ideal range for coffee plants. Air humidity remained between 70% and 80%, suitable for effective transpiration and nutrient uptake. While pH levels regularly dropped between a recommended range of 5 and 7, ensuring nutrient availability, soil moisture readings consistently ranged from 60% to 80%, supporting healthy root systems and enabling nutrient absorption. The analysis of over 1,000 data entries confirms the effectiveness of IoT and PA technologies in addressing Honduras' agricultural challenges. Correlation with MATLAB enhances data credibility, facilitating better decision-making for agricultural progress.

关键词： Blynk ESP32 micro controller internet of Things MATLAB Precision Agriculture Wireless Sensor network (WSN)

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Resource Allocation Optimization in Local and Wide Area networks through Social network Integration 24

Resource Allocation Optimization in Local and Wide Area Netw...

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25th International conference on Distributed Computing and networking, ICDCN 2024

作者： Shrivastava, Sangya Thakur, Rahul Indian Institute of Technology Roorkee Uttarakhand Roorkee India

ISBN: (纸本)9798400716737

Modern cellular systems must accommodate millions of mobile devices, placing significant demands on network capacity and performance. The predominant technologies for internet connectivity are Wireless Fidelity (Wi-Fi) in the unlicensed spectrum and Cellular in the licensed spectrum. Emerging technologies such as femtocells and Device-to-Device (D2D) communication are key components of Fifth Generation (5G) cellular networks. However, there are challenges, including resource underutilization due to "Closed Access"policies in Wi-Fi and femtocells and the "Operator-Specific"nature of femtocells. In this work, we explore the potential of leveraging social network properties for end-user collaboration to optimize the utilization of these technologies while addressing trust and performance issues. We focus on developing techniques for power control, spectrum management, user association, load balancing, traffic offloading to enhance throughput, coverage, and mobility while minimizing cost, latency, and energy consumption. © 2024 Owner/Author.

关键词： Femtocell

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