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检索条件"任意字段=7th International Conference on Real Time Computing Systems and Applications"

共 13197 条记录，以下是221-230 订阅

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SIRM: Cost efficient and SLO aware ML prediction on Fog-Cloud Network 15

SIRM: Cost efficient and SLO aware ML prediction on Fog-Clou...

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15th international conference on Communication systems and Networks (COMSNETS)

作者： Phalak, Chetan Chahal, Dheeraj Singhal, Rekha TCS Res Mumbai Maharashtra India

ISBN: (纸本)9781665477062

Cloud and Fog computing are complementary technologies used for complex Internet of things (IoT) based deployment of applications. With an increase in the number of internetconnected devices, the volume of data generated and processed at higher speeds has increased substantially. Serving a large amount of data and workloads for predictive decisions in real-time using fog computing without Service-Level Objective (SLO) violation is a challenge. Integration of multiple cloud services and platforms with fog computing can resolve this issue by providing additional resources. In this work, we present a general-purpose System for Inference Request Management (SIRM) aimed at automatically generating a suitable execution workflow to execute ML/DL inference requests using fog with Function-as-a-Service (FaaS) and Machine Learning-as-a-service (MLaaS) offered by cloud vendors. Generated workflow minimizes the cost of deployment as well as SLO violations. the use of SIRM results in less than 5% violations when tested using health domain and recommender system based applications.

关键词： Machine-Learning-as-a-Service inference serving SLO awareness cost minimization cloud computing

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15th international conference on Autonomous systems

作者： Halang, Wolfgang A. Fernuniv D-58084 Hagen Germany

ISBN: (数字)9783031614187

ISBN: (纸本)9783031614170;9783031614187

the programming language PEARL has by far the most distinctive real-time properties, which is why it has excellently proven itself in industrial automation applications. the main features of the language and its support for distributed systems are presented. As the first universally applicable textual programming language, PEARL offers safety-related subsets suitable for each of the four internationally standardised safety integrity levels, as well as special language constructs to formulate safe sequence controls. Parts of PEARL can already be used for specification purposes due to their inherent clarity, unambiguity and direct comprehensibility.

关键词： Safety real-time systems programming language SafePEARL

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IoT-based automatic road accident detection systems: A review 4

IoT-based automatic road accident detection systems: A revie...

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4th international conference on Soft computing for Security applications, ICSCSA 2024

作者： Prabu, C.R. Namitha, Kalakunnath Amrita School of Computing Amrita Vishwa Vidyapeetham Department of Computer Science and Engineering Amritapuri India

ISBN: (纸本)9798331515720

With the increasing number of vehicles on roads, the occurrence of road accidents has become a major concern globally. Automatic road accident detection systems based on Internet of things (IoT) technologies have emerged as a promising solution to improve emergency response times and reduce the severity of accidents. the review encompasses various aspects including the underlying technologies, sensor networks, data processing algorithms, communication protocols, and system architectures used in these systems. Furthermore, the paper discusses the challenges and limitations of current approaches such as sensor accuracy, system scalability, and real-time data processing. It also identifies future research directions including the integration of advanced sensor technologies, machine learning algorithms for accident prediction, and the development of standardized communication protocols for interoperability among different systems. To improve road safety, researchers and practitioners can use the ideas to help build IoT-based autonomous road accident detection systems that are more effective and efficient. © 2024 IEEE.

关键词： Interoperability

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Smart Load Optimisation Overload and Short Circuit Fault Monitoring using Programmable Logic Controller & SCADA 4

Smart Load Optimisation Overload and Short Circuit Fault Mon...

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4th international conference on Soft computing for Security applications, ICSCSA 2024

作者： Bhowmick, Debraj Adling, Hrushikesh V. Kawade, Amol B. Pardeshi, Dipesh Sanjivani College of Engineering Department of Electrical Engineering A.Nagar Kopargaon India

ISBN: (纸本)9798331515720

this research presents a real-time automatic control system for ensuring reliable power supply in distributed generation systems. Leveraging Programmable Logic Controllers (PLCs) and Supervisory Control and Data Acquisition (SCADA), the system prioritizes and dynamically switches loads based on available power sources. By utilizing ladder logic for PLC programming and SCADA for centralized monitoring, the system effectively manages power distribution and minimizes manual intervention. Demonstrated in industrial settings, this approach enhances operational efficiency and reliability, particularly in regions prone to power outages. © 2024 IEEE.

关键词： SCADA systems

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the Role of Blockchain Integration in Edge computing for 6G IoT: Challenges and applications 7

The Role of Blockchain Integration in Edge Computing for 6G ...

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7th international conference on Internet applications, Protocols, and Services, NETAPPS 2024

作者： Alawadhi, Abdulwadood Almogahed, Abdullah Shtayt, Bushra Abdullah Barraood, Samera Obaid Adawy, Mohammad Ibrahim Al-Jamili, Omar InterNetWorks Research Laboratory School of Computing Universiti Utara Malaysia Kedah Sintok Malaysia Faculty of Computer Science and Information Technology Universiti Tun Hussein Onn Malaysia Johor Parit Raja Malaysia Information Technologies Management Management Technical College of Basra Southern Technical University Basra Iraq Department of Computer Science College of Computers and Information Technology Hadhramout University Hadhramout Yemen Faculty of Information Technology The World Islamic Sciences and Education University Amman Jordan School of Computing Universiti Utara Malaysia Kedah Sintok Malaysia

ISBN: (纸本)9798331519513

Blockchain is the technology on which cryptocurrencies operate within the 6G Internet of things. Due to its flexibility, it has received significant adoption in numerous applications as a possible distributed data management solution. Nonetheless, a significant obstacle that impedes blockchain's potential is its constrained scalability, which limits its capacity to facilitate applications requiring frequent transactions. Conversely, edge computing, an innovative technology, addresses the limitations of conventional cloud-based systems by decentralizing cloud functionalities and alleviating problems such as elevated latency and insufficient security. Nonetheless, edge computing presently encounters challenges related to decentralized governance and security. As a result, the integration of blockchain and edge computing within a cohesive framework offers substantial benefits, such as dependable network access and governance, decentralized storage, and computing at the peripheries. this integration effectively mitigates many security problems and guarantees data integrity in edge computing contexts. this article offers a comprehensive analysis of blockchain technology, its attributes, and its relevance in the context of 6G. Additionally, it investigates the amalgamation of blockchain and edge computing, analyzes diverse application cases, and addresses the related issues. Finally, the report delineates contemporary research trajectories and draws conclusions based on the findings. © 2024 IEEE.

关键词： Mobile edge computing

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Advancing Brain State Classification through Electroencephalogram (EEG) Analysis: Exploring Diverse Models for Improved Classification 7

Advancing Brain State Classification through Electroencephal...

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

作者： Chauhan, Naman Tomar, Riya Atri, Pranshul Chauhan, Chhavi Prakash, Abhijith Vikram, Aditya Amrita Vishwa Vidyapeetham Amrita School of Computing Department of Computer Science and Engineering Tamil Nadu Chennai India University of Petroleum and Energy Studies School of Computer Science Uttarakhand Dehradun India Bauhaus-Universität Weimar Department of Computer Science Weimar Germany

ISBN: (纸本)9798350350067

the combination of electroencephalography data and machine learning technologies provides a promising path for secure and transparent solutions to various problems, including authentication. the outcome of the current work provides an alternative to passwords and biometrics: the use of EEG as a method for identifying brain states such as stress and emotion. the data was extracted with the help of monitors from individual subjects at different stress and emotion intervals. Following that, CNN and Extreme Gradient Boosting were utilized for the classification task. As demonstrated, XGB outperforms CNN with high recall, accuracy, and precision. Visualizing the frequency components and mean values allows one to imagine how the data behaves. Current research has showcased that EEG-based authentication has great potential for a broad range of applications and points to future avenues for investigation, such as multimodal authentication systems or real-time authentication. To make the EEG robust and inclusive, a follow-up study could also include more in-depth feature studies, hyperparameter optimization, or possible demographic effects on the signals. © 2024 IEEE.

关键词： Electroencephalography

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A Design for Comprehensive Information System Management Framework Integrating Secure Software Development, Resource Management, and real-time Monitoring 7

A Design for Comprehensive Information System Management Fra...

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7th international conference on Informatics and Computational Sciences, ICICoS 2024

作者： Wicaksono, Herlambang Rafli Tampati, Ihsan Fadli Putra, Nathanael Berliano Novanka Setiawan, Hermawan Firmansyah, Dimas Rifqi Politeknik Siber and Sandi Negara Bogor Indonesia

ISBN: (纸本)9798350375886

this paper proposes a holistic framework for the development, management, and monitoring of secure web information systems. Emphasizing a secure software development life cycle (SDLC), resource management, and real-time monitoring, the framework aims to standardize and enhance the process of web application development while prioritizing security at every phase. the framework incorporates threat modeling during planning and design, security guidelines during implementation, and continuous vulnerability scanning. Additionally, it integrates resource management to ensure effective allocation of human, hardware, and software resources. Tools are employed for real-time monitoring, providing usage insights that inform managerial decisions. the proposed framework strives to create a comprehensive approach to web application development that is both secure and well-managed. the implementation results demonstrate the proposed framework's effectiveness in simplifying development, optimizing resources, and enhancing security for web applications. Furthermore, compared to the secure software development lifecycle (SSDLC) framework, it offers advantages in resource management and real-time monitoring, rendering it more comprehensive. © 2024 IEEE.

关键词： Information management

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Timing Behavior Characterization of Critical real-time systems through Hybrid Timing Analysis 7

Timing Behavior Characterization of Critical Real-Time Syste...

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7th international conference on System Reliability and Safety, ICSRS 2023

作者： Barone, Salvatore Casola, Valentina Torca, Salvatore Della Lombardi, Daniele University of Naples Federico Ii Department of Electrical Engineering and Information Technologies Naples80125 Italy Univeristy of Bergamo Department of Management Information and Production Engineering Dalmine24044 Italy

ISBN: (纸本)9798350306057

the spread of computing-systems, especially the realtime embedded ones, is rapidly growing in the last years, since they find usage in numerous fields of application, including, but not limited to, industry process, critical infrastructures, transportation systems, as so forth. Indeed, in these fields, precise time-constraints hold;hence, tasks need to be correct from both the functional and temporal perspectives. As for the latter, timing behavior has to be characterized, that is usually done by exploiting either static or dynamic analysis techniques, which leverage estimations based on either a model or the actual system. In this paper, we foster an automated hybrid approach that allows characterizing the timing behavior of systems while introducing any alteration, i.e., relying on instruction-level tracing rather than code instrumentation for profiling purposes. Our approach is sensitive to the execution-context, - e.g., cache misses - and it allows re-using results from the development processes - e.g., unit tests. We considered a complex realtime application from the railway domain as a case study to evaluate our approach, empirically proving that it can provide a faithful characterization of systems in terms of worst-case execution time. © 2023 IEEE.

关键词： real time systems

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Leveraging Transformer Networks for Enhanced Conversational AI 7

Leveraging Transformer Networks for Enhanced Conversational ...

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

作者： Behl, Vivek Bibhu, Vimal Noida International University Department of Computer Science and Engineering Uttar Pradesh Greater Noida India

ISBN: (纸本)9798350350067

this paper presents a comprehensive study on leveraging transformer networks for enhanced conversational AI, show casing their superiority over traditional models such as LSTM, GRU, and GRU BiRNN decoders. the architectural enhancement, improvement by RBF kernel and the proposed transformer model used by the OpenSubtitles 2018 dataset, contextually and legibly suitable replies generated by significant advancements. Critical developments demonstrate incomprehension of 4.58, appreciably descending from 7.568 earned by the GRU BiRNN decipherer with ELU activation, and training time diminishing substantially. the prototype's Sparse Categorical Cross-Entropy (SCCE) training costs are Streamlined to 0.14 and 0.192, appropriately. Proved by its originality and efficacity, both acoustic-aware modes and textual modes are handled by the system effectively. there are different types of conversational AI applications, but this study indicates the potential transformer-based architectures to surpass traditional RNN-based models and clear the way for upcoming improvements concerning real-time adaptive learning, personalized user interactions, and multimodal inputs. © 2024 IEEE.

关键词： Conversational AI GRU BiRNN Incomprehension Sparse Categorical Cross-Entropy (SCCE) Transformer Networks

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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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