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共 13398 条记录，以下是191-200 订阅

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Spectrum Sharing Technologies in the 5G Era: Innovative applications and Challenges in the FDD Band 20

Spectrum Sharing Technologies in the 5G Era: Innovative Appl...

引用

20th IEEE international Wireless Communications and Mobile computing (IEEE IWCMC) - Green and Intelligent Communications

作者： Zhang, Zhirong China Telecom Res Inst Beijing Peoples R China

ISBN: (数字)9798350361261

ISBN: (纸本)9798350361261;9798350361278

Dynamic spectrum sharing technique is of great significance in the field of wireless communications, especially in the 5G era, where it is regarded as a key tool to address the finiteness of spectrum resources and to meet the growing communication demands. In this paper, we will delve into the fundamentals of dynamic spectrum sharing technology and its application in FDD (Frequency Division Duplexing) band, focusing on the challenges and opportunities of dynamic spectrum management in 5G. the core idea of dynamic spectrum sharing is to fully utilize spectrum resources so that different users and systems can share in the same frequency band. the realization of this approach relies on spectrumaware technologies that monitor real-time band usage and dynamically adjust spectrum allocation according to demand. In addition, spectrum sharing protocols are also a key factor, as they define how spectrum resources are shared collaboratively between different users or systems to ensure efficient spectrum utilization.

关键词： Dynamic spectrum sharing technology FDD bands spectrum sensing technology emerging application areas automated management

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7th IFAC conference on Analysis and Control of Nonlinear Dynamics and Chaos, ACNDC 2024 - Proceedings

7th IFAC Conference on Analysis and Control of Nonlinear Dyn...

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7th IFAC conference on Analysis and Control of Nonlinear Dynamics and Chaos, ACNDC 2024

the proceedings contain 27 papers. the topics discussed include: noise-induced chaos in an electronic Burridge-Knopoff model analog;outer enclosures of nonlinear mapping with degenerate ellipsoids;state-feedback control design for polynomial discrete-time systems obtained via second-order Runge-Kutta discretization;on the role of dual Sylvester and invariance equations in systems and control;dynamic two-echelon electric vehicle routing problem with battery swap stations on real network;Bouallegue equation system and its applications in chaos theory;enabling tunability of a mems sensor with a geometric nonlinearity;and boundary control for suppressing chaotic response to dynamic hydrogen blending in a gas pipeline.

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Augmented reality Enabled Internet of things for Smart Visualisation in applications 7

Augmented Reality Enabled Internet of Things for Smart Visua...

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2023 7th international conference On computing, Communication, Control And Automation, ICCUBEA 2023

作者： Kedari, Ayush Singh, Anshika Kharche, Gayatri Mapari, Rahul Pimpri Chinchwad College of Engineering and Research Electronics and Telecommunication Pune India

ISBN: (纸本)9798350304268

Augmented reality(AR) is a vast field which enlarges the capabilities of various technological areas. Even though AR has proven to be advantageous in various areas, mainly by eliminating cognitive overload and providing a visual experience, it has a major drawback of requiring internet connectivity in most applications. Internet of things(IoT) is associated with AR to upgrade existing IoT technology to another level. Considering home automation(which incorporates IoT), when coerced with AR provides remote access to the network, contactless switching(simply, by hovering over virtual buttons) and includes additional features like temperature, humidity detection, etc. AR is an emerging technology which is rapidly developing. When AR is used with novel cloud platforms like Sinric Pro, Blynk, thinkSpeak, etc., exploration of a lot of new features takes place. this paper describes the concept of AR integrated with home automation which uses IoT and Sinric Pro. Along with this, it gives the idea of using augmented reality in real life. Visual representation of cards, books, distance between two objects, heart rate, moisture content in soil and real-time weather is given by augmented reality. Using these technologies in the existing system enhances human capabilities, creates unique customer experiences and provides real time analysis. It discusses an approach to inculcate AR in IoT to increase the applications. the analysis of AR framework incorporating IoT has been done in order to use it for real life applications. © 2023 IEEE.

关键词： Augmented reality Augmented reality and Internet od things Home Automation Internet of things Sinric Pro Temperature detection

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XApps for DDoS Attacks Detection and Mitigation in 5G-V2X O-RAN Networks 7

XApps for DDoS Attacks Detection and Mitigation in 5G-V2X O-...

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7th conference on Cloud and Internet of things, CIoT 2024

作者： Awad, Mirna Hamid, Adam Ait Ranganathan, Yeogeuch Choubik, Nizar Langar, Rami Jaafar, Wael Montréal Canada University Gustave Eiffel France Polytech Sorbonne Paris France Inp Bordeaux France

ISBN: (纸本)9798350356717

In this demo, we present a 5G prototype designed to secure V2X communications by leveraging the concept of distributed applications (xApps) in 5G O-RAN. Based on the open-source srsRAN, our framework protects against DDoS attacks by implementing a dual-xApp strategy. the first xApp, called attack detection (AD) detects and identifies DDoS attackers in real-time, using deep learning. the second xApp, named resource control (RC), is executed dynamically to reduce the network resources of identified attackers. We show that our method effectively neutralizes malicious users by minimizing their impact on network performance while maintaining stable operations for legitimate users. © 2024 IEEE.

关键词： 5G mobile communication systems

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Hybrid Tactile Internet Framework Revolutionizing real-time Human-Machine Interactions with Multi-Modal Technologies 6

Hybrid Tactile Internet Framework Revolutionizing Real-Time ...

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6th international conference on Mobile computing and Sustainable Informatics, ICMCSI 2025

作者： Ragavee, U. Swetha, Maria Gopika, P. Lemuela mary, J. Saravanapriya, M. Dharshini, Lisha K.M. Saveetha School of Law Saveetha Institute of Medical and Technical Sciences Chennai77 India

ISBN: (纸本)9798331522667

the Hybrid Tactile Internet Framework revolutionizes real-time human-machine interactions by integrating edge computing, cloud resources, and multi-modal technologies for ultra-low latency communication and precise synchronization. the framework leverages advanced AI models, including Transformer architectures and ResNet variants, for accurate data processing and hybrid reinforcement learning for real-time decision-making. It achieved an average synchronization accuracy of 99.85%, end-to-end latency as low as 0.95ms under 5G URLLC, and a multi-modal feedback success rate of 98.90% across diverse scenarios. Resource allocation remained efficient, with peak energy efficiency of 91.2% under low load conditions and 78.1% at peak load. Haptic systems demonstrated exceptional performance with feedback accuracy of 98.8% and response times under 1ms. real-world evaluations in virtual surgery, remote robotics, and VR gaming highlighted a decision-making success rate of 98.5%-99.1%, with user satisfaction scores averaging 4.8/5. the proposed framework offers significant potential for applications in telemedicine, collaborative robotics, and immersive VR, paving the way for seamless, scalable, and reliable tactile internet systems. © 2025 IEEE.

关键词： Resource allocation

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IoT- Enabled Air Quality Monitoring: Advancements, applications, and Challenges 9

IoT- Enabled Air Quality Monitoring: Advancements, Applicati...

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9th international conference on Communication and Electronics systems, ICCES 2024

作者： Ramesh, Roshni Vallabhu, Hemanth Unni, Akshara Nalinakshan, Shankar Amrita Vishwa Vidyapeetham Department of Electrical and Electronics Engineering Amritapuri India

ISBN: (纸本)9798350377972

the increasing challenges of air pollution make novel solutions for real-time monitoring and management necessary. Addressing the significant scale of air pollution requires the implementation of effective control and monitoring measures. While it is critical to filter harmful particles in the atmosphere, it is also important for the development of IoT-based sensing networks to monitor the concentration of various gaseous pollutants. these networks enable detailed analysis and more informed decision-making to combat air pollution effectively by collecting real-time data through sensors and transmitting it via the cloud. IoT integrated into AQMS has many advantages including remote and cost-effective monitoring, real time data collection, faster identification of pollutants and the ability to implement mitigation strategies for targeted pollutants effectively. the real-time air quality data can be shared with the public through mobile apps or online dashboards, which can promote public awareness and citizen *** provides precise predictions, increased scalability, and secure data management by combining technologies such as AI, ML, blockchain, and cloud computing. However, issues such as sensor calibration, data privacy, and energy efficiency remain critical areas of concern. the authors discuss the applications, advancements, and future potential of IoT based air quality systems for addressing air quality concerns, promoting sustainability, and protecting public health. To improve the precision, decentralization of system and promote the security and integrity of data, applications of blockchain, edge computing, AI algorithms and integration of 6G networks are introduced. © 2024 IEEE.

关键词： Air quality

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Optimizing real-time Task Scheduling in Cloud-based AI systems using Genetic Algorithms 7

Optimizing Real-time Task Scheduling in Cloud-based AI Syste...

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7th international conference on Contemporary computing and Informatics, IC3I 2024

作者： Mohammed, Abdul Sajid Mallikarjunaradhya, Vinay Sreeramulu, Madhusudhan Dasari Boddapati, Nagesh Jiwani, Nasmin Natarajan, Yuvaraj University of the Cumberlands Department of School of Computer and Information Sciences KY United States Thomson Reuters Toronto Canada American Express Department of Cyber Security United States Microsoft Department of Computer Science CharlotteNC United States University of The Cumberlands Department of Information Technology WilliamsburgKY United States Sri Shakthi Institute of Engineering and Technology Department of Computer Science Engineering Tamil Nadu Coimbatore India

ISBN: (纸本)9798350350067

Artificial Intelligence (AI) has also started to be regularly introduced in cloud-based systems as it can help improve performance and skyrocket efficiency. It is a challenge for such systems to schedule tasks in real time, and computing sources need to be allocated promptly and efficiently. the current scheduling mechanisms being relatively static under varying system conditions leads to inefficient allocation with a slight (to severe) degradation in performance. this project suggests that Genetic Algorithms (GA) be employed for real-time task scheduling optimization in AI services on the cloud. GAs are robust optimization methods based on fundamental natural selection and survival of the fittest principles, thus well suited for solving complex issues like task scheduling in dynamic environments. the LC scheduling uses a GA-based approach to form a group of shuttle schedules (candidate emergency transportation solution) where the fittest one is selected and executed using genetic operators like selection, crossover, mutation, etc. It allows the system to adjust resources more effectively for its current state, leading to better performance and scalability. © 2024 IEEE.

关键词： Genetic algorithms

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Sentimental Analysis of Movie Reviews in Tamil Text 7

Sentimental Analysis of Movie Reviews in Tamil Text

引用

7th international conference on Intelligent computing and Control systems, ICICCS 2023

作者： Maruvur Selvi, S. Sreeja, P.S. Hindustan Institute of Technology and Science Department of Computer Applications Chennai India

ISBN: (纸本)9798350397253

Sentiment analysis is the act of recognizing and categorizing the emotions represented in text as positive, negative, or neutral. In numerous languages, including Tamil, machine learning techniques have been widely employed for sentiment analysis. Within that overview, let look at how the SVM (Support Vector Machine), k-nearest neighbor (k-NN), and LSTM (Long time Short Memory) algorithms may be used for sentiment analysis in Tamil literature. To train and test the algorithms, the research used a dataset of Tamil text comments from YouTube reviews. the goal is to find the best sentiment analysis model in Tamil text that can be used to categorise the emotions reflected in fresh Tamil text data as positive, negative, or neutral. For this experiment, a dataset of Tamil text comments is acquired from YouTube reviews. the best model is then used to new Tamil text data to categorise sentiment. © 2023 IEEE.

关键词： Sentiment analysis

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Energy and Cost-Aware real-time Task Scheduling with Deadline-Constraints in Fog computing Environments 19

Energy and Cost-Aware Real-Time Task Scheduling with Deadlin...

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19th international conference on Evaluation of Novel Approaches to Software Engineering, ENASE 2024

作者： Trabelsi, Mayssa Ahmed, Samir Ben LIPSIC Laboratory Faculty of Sciences of Tunis University of Tunis ElManar Tunis Tunisia

ISBN: (纸本)9789897586965

With the increasing demand for real-time processing for IoT applications, Fog computing becomes a crucial approach to overcome the limitations of centralized Cloud computing. Given its decentralized structure, Fog computing enables faster response time, real-time processing, and reduced latency, making it particularly suitable for time-sensitive IoT applications. In this paper, we propose a novel approach called the"Energy-cost-aware task scheduling with a Deadline-constrained" (ECaTSD) algorithm for real-time task scheduling in a fog infrastructure. the main objective of the proposed algorithm is to minimize energy consumption and monetary costs under deadline constraints. the ECaTSD algorithm dynamically allocates incoming tasks to the most suitable fog nodes in real-time. It selects the fog node that meets deadline requirements with the least energy consumption and monetary cost in the infrastructure. Moreover, the proposed algorithm has been simulated using the iFogSim simulator. the algorithm’s performance is evaluated using various criteria, such as the percentage of IoT tasks successfully meeting deadlines, energy consumption, monetary cost, and response time compared to other scheduling policies. ECaTSD algorithm shows high efficiency in meeting deadlines (99.58% completion rate) while being energy and cost-efficient. © 2024 by SCITEPRESS – Science and Technology Publications, Lda.

关键词： Fog computing

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Technoeconomic Analysis and Optimal Sizing Methodology of District Solar Cooling System 7

Technoeconomic Analysis and Optimal Sizing Methodology of Di...

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7th IEEE international Humanitarian Technologies conference, IHTC 2024

作者： Lagos, Dimitrios Dimeas, Aris Hatziargyriou, Nikos National Technical University of Athens School of Electrical and Computer Engineering Athens15780 Greece

ISBN: (纸本)9798350354645

Heating and cooling are amongst the most energy consuming and polluting energy sectors. therefore, their decarbonization and the integration of renewable energy-based applications is deemed necessary. Solar cooling could offer a valuable alternative for district or remote areas with high solar irradiance. A novel methodology is introduced for designing and analyzing a District Cooling Network (DCN) and selecting the optimal solar cooling technology to support it. Two alternate systems are studied: an absorption chiller system powered with hot water from vacuum collectors and a heat pump system powered by PVs, both containing energy storage. the optimal combination of storage capacities and collectors' area is defined for each scenario, then the total costs are estimated and compared. Simulations and results are based on real data from the microgrid of Gaidouromantra in Greece. © 2024 IEEE.

关键词： Heat pump systems

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