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检索条件"任意字段=IEEE International Conference on Embedded and Real-Time Computing Systems and Applications"

共 36968 条记录，以下是1351-1360 订阅

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An Empirical Study on Edge-to-Cloud Continuum for Smart applications: Performance, Design Patterns, and Key Factors 8

An Empirical Study on Edge-to-Cloud Continuum for Smart Appl...

引用

8th ieee international conference on Edge computing and Communications, EDGE 2024

作者： Chen, Norman Toosi, Adel N. Javadi, Bahman Alqahtani, Daghash Aslanpour, Mohammad S. Xu, Minxian Monash University Department of Software Systems and Cybersecurity Clayton Australia Western Sydney University School of Computer Data and Mathematical Sciences Australia Shenzhen Institute of Advanced Technology Chinese Academy of Sciences China

ISBN: (纸本)9798350368499

The rapid evolution of cloud-native technologies has facilitated seamless application deployment and execution across the entire edge-to-cloud continuum. This continuum offers a myriad of benefits, including reduced latency, optimized bandwidth utilization, enhanced data privacy, improved reliability, scalability, and flexibility. However, realizing a coherent edge-to-cloud continuum poses challenges especially in resource management, due to the heterogeneous and dynamic nature of computing resources such as resource scheduling and load balancing. This paper focuses on the Container-as-a-Service model enabling independent execution of functions/microservices anywhere on the continuum. We propose an architectural design for constructing a practical edge-to-cloud infrastructure and conduct comprehensive performance evaluations using a real edge-to-cloud testbed. Through an empirical study, we aim to identify key factors impacting application performance and resource management within the continuum, with a specific focus on AI-based IoT applications. Our experiments explore various design patterns including load balancing techniques, scheduling algorithms, invocation methods, gateway and data source location, and factors such as bandwidth and delay, providing practical insights for practitioners and researchers alike. © 2024 ieee.

关键词： Bandwidth

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Student Perceptions of AI-Enhanced Adaptive Learning systems: A Pilot Survey 7

Student Perceptions of AI-Enhanced Adaptive Learning Systems...

引用

7th ieee international conference and Workshop Obuda on Electrical and Power Engineering, CANDO-EPE 2024

作者： Katonane Gyonyoru, Klara Ida Katona, Jozsef Institute of Social Sciences University of Dunaujvaros Department of Organizational Development and Communication Science Dunaujvaros Hungary Institute of Computer Engineering University of Dunaujvaros Department of Software Development and Application Dunaujvaros Hungary John Von Neumann University GAMF Faculty of Engineering and Computer Science Kecskemet Hungary Budapest Business University Faculty of Finance and Accountancy Department of Applied Quantitative Methods Budapest Hungary

ISBN: (纸本)9798331531119

Artificial Intelligence (AI) significantly enhances adaptive learning by personalizing and tailoring instruction to individual student needs. AI analyzes data in real-time to create personalized learning paths based on students' strengths, weaknesses, and preferences, which keeps students engaged and motivated. A major benefit of AI in adaptive learning is the provision of real-time feedback and assessment, allowing students to correct mistakes promptly and understand concepts more thoroughly. AI-based intelligent tutoring systems are primarily intended to simulate personalized tutoring processes that guide students in complex problem-solving and answering questions. It is convenient in teaching mathematics, sciences, and languages. AI also supports inclusive education, dealing with diversified learning requirements and styles, such as those of learners with disabilities. For the teacher, AI acts as a reflector of student performance so that one can intervene early and make adjustments in the method of instruction by creating effective learning environments. AI technology is a field in constant development and harbors the potential to change the face of adaptive learning, bringing an upswing in educational outcomes. This article will summarize the advantages and features that merit improvement of the AI-embedded adaptive learning systems with student feedback. © 2024 ieee.

关键词： Contrastive Learning

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ChronoGAN: Supervised and embedded Generative Adversarial Networks for time Series Generation 23

ChronoGAN: Supervised and Embedded Generative Adversarial Ne...

引用

23rd ieee international conference on Machine Learning and applications, ICMLA 2024

作者： Eskandarinasab, MohammadReza Hamdi, Shah Muhammad Boubrahimi, Soukaina Filali Utah State University Department of Computer Science LoganUT84322 United States

ISBN: (纸本)9798350374889

Generating time series data using Generative Adversarial Networks (GANs) presents several prevalent challenges, such as slow convergence, information loss in embedding spaces, instability, and performance variability depending on the se-ries length. To tackle these obstacles, we introduce a robust framework aimed at addressing and mitigating these issues effectively. This advanced framework integrates the benefits of an Autoencoder-generated embedding space with the adversarial training dynamics of GANs. This framework benefits from a time series-based loss function and oversight from a supervisory net-work, both of which capture the stepwise conditional distributions of the data effectively. The generator functions within the latent space, while the discriminator offers essential feedback based on the feature space. Moreover, we introduce an early generation algorithm and an improved neural network architecture to enhance stability and ensure effective generalization across both short and long time series. Through joint training, our framework consistently outperforms existing benchmarks, generating high-quality time series data across a range of real and synthetic datasets with diverse characteristics. © 2024 ieee.

关键词： Generative adversarial networks

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Implementation of Dual Level LLC Converter for Fuel cell applications 2

Implementation of Dual Level LLC Converter for Fuel cell App...

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2nd international conference on Power, Control and computing Technologies, ICPC2T 2022

作者： Suganya, S.R. Vetrivel, V.S. IFET College of Engineering Department of EEE Villupuram India

ISBN: (纸本)9781665458580

To improve the Energy harvesting by using the Dual Level LLC Converter model for the purpose of real time Fuel cell Energy applications. Fuel cell dc supply is given to dual level LLC converter for increasing dc supply after applying to the load. In this context, MPPT technique aimed at Fuel cell charging systems were introduced to maximize the produced energy. © 2022 ieee.

关键词： Simulation Power quality Power control Fuel cells Switches real-time systems Batteries

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Object Recognition System under Hazy Condition for Automated Driving systems 10

Object Recognition System under Hazy Condition for Automated...

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10th ieee international conference on Cybernetics and Intelligent systems and ieee conference on Robotics, Automation and Mechatronics, CIS-RAM 2023

作者： Xu, Yucheng Miyahara, Keizo Japan Global Gateway Fujitsu Limited Kanagawa Japan Kwansei Gakuin University Graduate School of Science and Engineering Hyogo Japan

ISBN: (纸本)9798350303087

We propose an object recognition system for vehicles controlled by "Automated Driving systems (ADS)."In particular, the proposed system aims at operating "Minimum Risk Maneuver (MRM)"for the ADS only with image sensors. The image sensors, digital cameras for example, often face difficulties in acquiring images with foggy, rainy and/or misty weather conditions. Even in such "Hazy"conditions, the object recognition system should be reliable to perform the MRM strategy. The proposed system consists of two sub-systems: image "dehaze"processing, and object detection. The implemented system was validated by several sample movies recorded in hazy condition on real roads. Experimental results show that the proposed system is applicable to real-time applications. © 2023 ieee.

关键词： Object recognition

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ESTIMATION OF IMPULSE RESPONSES FOR A MOVING SOURCE USING OPTIMAL TRANSPORT REGULARIZATION 49

ESTIMATION OF IMPULSE RESPONSES FOR A MOVING SOURCE USING OP...

引用

49th ieee international conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Sundstrom, David Elvander, Filip Jakobsson, Andreas Lund Univ Ctr Math Sci Lund Sweden Aalto Univ Dept Informat & Commun Engn Espoo Finland

ISBN: (纸本)9798350344868;9798350344851

The estimation of impulse responses (IRs) is fundamental to various audio applications, including active noise control, telecommunication, and sound zone control. Despite its long history, estimating impulse responses remains challenging when dealing with short signals and with signals having poor spectral excitation. However, in many applications the source is moving such that one has access to several input-output signal pairs corresponding to closely spaced source positions. Intuitively, exploiting this spatial proximity when jointly estimating the full set of IRs should allow for improved estimation performance. In this work, we propose to leverage the information shared between the closely spaced source positions by means of an optimal transport regularizer when estimating IRs from noisy input-output relations. In particular, the proposed transport formulation allows for modeling shifts in time-delays, corresponding to the IR filter taps, caused by the spatial displacement. The method is validated through numerical experiments using a real voice recording as input signal, demonstrating its superior performance in the challenging scenario.

关键词： Impulse response estimation optimal transport dynamic systems audio signal processing

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The Role of AI for Smart Environments based on Big Data and IoT applications 5

The Role of AI for Smart Environments based on Big Data and ...

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5th ieee international conference on Communications, Information, Electronic and Energy systems, CIEES 2024

作者： Popova, Petya Petrova, Mariana Tsenov Academy of Economics Dept. of Business Informatics Svishtov Bulgaria Tsenov Academy of Economics Institute for Scientific Research Svishtov Bulgaria

ISBN: (纸本)9798350352863

The modern business environment is characterized by a high degree of variability, uncertainty, and complexity. To cope with the challenges of the environment, to take advantage of new opportunities and to function effectively, organizations rely on innovative techniques, approaches, and models. In this study, based on a semi-systematic literature review method, the entry of AI into the systems based on Internet of Things (IoT) and Big Data and the role of Artificial Intelligence (AI) for the construction of the so-called smart environment were investigated. The intelligent environment, from the point of view of business, is an ecosystem that integrates various leading technologies to organize and maintain efficient and highly effective operational structures. AI transforms the data-driven business intelligent environment into an environment that is not only informed and intelligent but is also capable of real-time optimization. I.e., AI transforms traditional business systems into dynamic and highly adaptive systems that can respond to changing conditions in real time. The report explores AI's role as an engine for business with a focus on new opportunities and challenges in its use. The report highlights the critical role of AI in optimizing business intelligent environment to smart environment by leveraging Big Data and IoT. It highlights how new AI driven operations and new insights are improving automation, decision-making, and overall efficiency, modeling intelligent systems that adapt in real-time. These systems subsequently transform industries and improve people's quality of life. © 2024 ieee.

关键词： AI BI-environment big data IoT smart environment

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Analyzing the Impact of Big Data Technologies on Network Performance of Smart systems 15

Analyzing the Impact of Big Data Technologies on Network Per...

引用

15th international conference on computing Communication and Networking Technologies, ICCCNT 2024

作者： Pathak, Atul Kumar Dheer, Meenakshi Raghavendra Rao, P.S. Arka Jain University Department of Law Jharkhand Jamshedpur India Vivekananda Global University Department of Agriculture Jaipur India School of Engineering and Technology Department of Mechanical Engineering Karnataka Bangalore India

ISBN: (纸本)9798350370249

Large facts technology have revolutionized the manner smart systems, along with the net of things (IoT) and gadget-to-device (M2M) verbal exchange networks, operate. The accelerated availability of massive datasets, blended with excessive-overall performance computing and facts storage talents, has enabled the development of many powerful programs and network overall performance-enhancing answers. This paper analyzes the impact of huge statistics technology at the performance of smart structures. We study the use of huge statistics technologies which includes Hadoop, Apache Spark, and Apache Flink within the context of numerous smart applications, inclusive of predictive analytics, actual-time analytics, and facts lake optimization. The paper argues that the adoption of huge statistics technologies can enhance the scalability and overall performance of smart systems drastically. Specifically, the usage of huge statistics technologies can enhance the scalability and safety of records lakes and permit actual-time analytics in smart systems. © 2024 ieee.

关键词： Accelerated Massive Optimization Revolutionized Structures Technologies Technology

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real-time SPO2 Monitoring Based on Facial Images Sequences 2nd

Real-Time SPO2 Monitoring Based on Facial Images Sequences

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3rd international conference on Digital Technologies and applications

作者： Latif, Rachid Addaali, Bouthayna Saddik, Amine Ibn Zohr Univ Natl Sch Appl Sci Lab Syst Engn & Informat Technol LISTI Agadir 80000 Morocco

ISBN: (纸本)9783031298561;9783031298578

Within the last few years, contactless vital signs monitoring has become a ubiquitous element of research. In this paper, one of the most important vital signs which is the peripheral arterial oxygen saturation (Spo2) is studied using only an embedded camera by detecting skin color changes in volunteers' faces. To assess the accuracy of our algorithm, the results were compared with the measured (Spo2) values by pulse oximetry. The captured frames are pre-processed to detect and track the facial area during 1000 s then the pulsatile (AC) and non-pulsatile (DC) components are used to calculate the ratio of ratios (RR) at two different wavelengths (red and blue wavelengths). The results obtained from the experience carried out in our laboratory demonstrate that the (Spo2) monitoring using an embedded camera in daylight is doable and provides many advantages in health care domain.

关键词： Remote Monitoring Spo2 real time Facial Images embedded Camera

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A Review of State-of-the-arts Sensing Techniques for the Ultra-early Screening of Cerebral Palsy

A Review of State-of-the-arts Sensing Techniques for the Ult...

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2023 ieee international conference on real-time computing and Robotics, RCAR 2023

作者： Zhuang, Yunji Zhou, Hao Zhang, Huiping Chen, Yanni Wang, Lin Chinese Academy of Sciences Cas Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institutes of Advanced Technology Shenzhen518055 China Guangdong-Hong Kong-Macau Joint Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen518055 China Xi'an Jiaotong University Children's Hospital Xi'an710002 China

ISBN: (纸本)9798350327182

Cerebral palsy (CP) is characterized by neuromotor disorders. It remains a huge challenge for ultra-early screening of CP. So far, the diagnosis of CP is mainly based on a combination of neuromotor assessment methods, magnetic resonance imaging (MRI) and clinical history. However, subjective errors are highly likely to be introduced in the process of CP screening due to disparities in clinicians' professional backgrounds, working abilities and academic levels. Cutting-edge sensing techniques have been unveiled in the field of ultra-early CP prediction which provides objective diagnosis with quantified output information by obtaining motion capture, classification, and recognition. It is necessary to contrast the strengths, weaknesses, and potential of these techniques and how to apply them in the ultra-early screening of CP. This study compares and analyzes the latest and advanced sensing methods and discusses their future applications in infantile CP screening. The work could provide technical suggestions and clinical guidance for early intervention in the field of ultra-early CP screening later on. © 2023 ieee.

关键词： Diseases

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