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检索条件"任意字段=11th International Conference on Embedded and Real-Time Computing Systems and Applications"

共 3210 条记录，以下是631-640 订阅

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Evolution of Emerging computing paradigm Cloud to Fog: applications, Limitations and Research Challenges

Evolution of Emerging Computing paradigm Cloud to Fog: Appli...

引用

international conference on Confluence the Next Generation Information Technology Summit (Confluence)

作者： Mohit Kumar Kalka Dubey Rakesh Pandey Dr B R Ambedkar NIT Jalandhar Jalandhar India IIT Roorkee Roorkee India

ISBN: (数字)9781665414517

ISBN: (纸本)9781665430340

Cloud computing is not only providing the plethora of services in the form of resources (computational, storage etc) to end user but also contributing the major role in the development of internet of things (IoT) applications. the applications of IoT has been adopted quickly in several area to create the smart environment like healthcare, smart transportation, smart home and agriculture etc. therefore, everyone wants to connect with the internet, but these devices generate huge amount of data that cannot be process by IoT devices due to limited computational as well as storage capability. It's become important to integrate the cloud with IoT (CoT) to process this data. Infrastructure of CoT is heterogeneous, complex and geographically distributed where traditional cloud model failed to process this data due to high latency and scalability. Hence, fog computing is used to process the real time applications closer to data sources and improve the latency, energy, scalability and resist network congestion. In this article, we extensively address the cloud computing, CoT paradigms along with its applications, architecture, research challenges and limitations. Further, we elaborate the working principle of fog for several types of applications and it also worked as glue between cloud and IoT.

关键词： Cloud computing Scalability Smart homes Resists real-time systems Smart transportation Internet of things

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Overcoming Memory Constraint for Improved Target Classification Performance on embedded Deep Learning systems 22

Overcoming Memory Constraint for Improved Target Classificat...

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22nd IEEE international conference on High Performance computing and Communications, 18th IEEE international conference on Smart City and 6th IEEE international conference on Data Science and systems, HPCC-SmartCity-DSS 2020

作者： Wu, Fan Liu, Huanghe Zhu, Zongwei Ji, Cheng Xue, Chun Jason Suzhou Institute for Advanced Study University of Science and Technology of China China Nanjing University of Science and Technology China City University of Hong Kong Hong Kong

ISBN: (纸本)9781728176499

Pattern recognition applications such as face recognition, detection of broken eggs, and classification of agricultural products are all using image classification in deep neural networks to improve the quality of services. However, traditional cloud inference models suffer from several problems such as network delay fluctuations and privacy leakage. In this regard, most real-time applications currently need to be deployed on edge computing devices. Constrained by the computing power and memory limitations of edge devices, the use of an efficient memory manager for model reasoning is the key to improving the quality of service. this study firstly explored the incremental loading strategy of model weights for the model reasoning. Next, the memory space at runtime is optimized through data layout reorganization from the spatial dimension. In particular, our proposed schemes are orthogonal and transparent to the model. Experimental results demonstrate that the proposed approach reduced the memory consumption by 43.74% on average without additional reasoning time overhead. © 2020 IEEE.

关键词： Quality of service

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Estimation of Supercapacitor State-of-Power in Vehicular applications

Estimation of Supercapacitor State-of-Power in Vehicular App...

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Smart Grid conference (SGC)

作者： Farshid Naseri Ebrahim Farjah School of Electrical and Computer Engineering Shiraz University Shiraz Iran

ISBN: (纸本)9781665401661

Estimation of the supercapacitor State-of-Power (SoP) is necessary to achieve efficient power management while respecting safety limits during acceleration and regenerative braking conditions of the electric vehicle. However, the SoP is dependent on the supercapacitor State-of-Energy (SoE) which itself should be obtained based on the State-of-Health (SoH) information. this paper proposes a co-estimation framework to accurately estimate the SoP based on SoE/SoH estimations obtained using real-time measurement data. the electronic control unit decisions can accordingly be made upon more accurate information enhancing the overall performance and functional safety. Experimental supercapacitor data under the Urban Dynamometer Driving Schedule (UDDS) cycle is used to demonstrate the effectiveness of the proposed algorithm. this is complemented by a few real-time tests to demonstrate the feasibility of embedded implementation.

关键词： Schedules Power system management Microprocessors Estimation Supercapacitors Electric vehicles real-time systems

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Software Performance Antipatterns in Cyber-Physical systems 20

Software Performance Antipatterns in Cyber-Physical Systems

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11th ACM/SPEC international conference on Performance Engineering (ICPE)

作者： Smith, Connie U. L&S Comp Technol Inc Performance Engn Serv Austin TX 78746 USA

ISBN: (纸本)9781450369916

Software performance antipatterns (SPAs) document common performance problems in software architecture and design and how to fix them. they differ from software antipatterns in their focus on the performance of the software. this paper addresses performance antipatterns that are common in today's Cyber-Physical systems (CPS). We describe the characteristics of today's CPS that cause performance problems that have been uncommon in real-time embedded systems of the past. three new performance antipatterns are defined and their impact on CPS is described. Six previously defined performance antipatterns are described that are particularly relevant to today's CPS. the paper concludes with some observations on how this work is useful in the design, implementation, and operation of CPS.

关键词： Performance antipatterns Software Performance Engineering (SPE) Cyber-physical systems design Software architecture

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Modeling of Multi-Core CPU Power Consumption during Online Video conference

Modeling of Multi-Core CPU Power Consumption during Online V...

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IEEE international Workshop on Intelligent Data Acquisition and Advanced computing systems: Technology and applications

作者： Iryna Zhuravska Kateryna Obukhova Petro Mohyla Black Sea National University Mykolaiv Ukraine

ISBN: (纸本)9781665426060

Recently, more and more services - industrial, educational, medical, etc. - are provided remotely, via the Internet. this has become especially relevant in the field of health care, for example, during the rehabilitation period for post-stroke and post-infarction patients. In this case, several video conferencing sessions are opened simultaneously on the doctor's gadget. this leads to overload of the gadget's processor (CPU), a significant increase in power consumption, overheating of the cores, and as a result to a violation of the stability of the connection. the proposed Colored Petri Net model and developed software for each cores' monitoring the processes in the CPU, built on the *** architecture, allow decision-making on CPU load management with increasing the share of use of LITTLE cores. this approach will increase the time of use of the user device without recharging to 6.8%.

关键词： Power demand Multicore processing Petri nets Process control Medical services Task analysis Monitoring

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Digital Twin and Virtual reality for Safety Training 11

Digital Twin and Virtual Reality for Safety Training

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11th IEEE international conference on Cognitive Infocommunications (CogInfoCom)

作者： Kaarlela, Tero Pieska, Sakari Pitkaaho, Tomi Centria Univ Appl Sci Ylivieska Finland

ISBN: (数字)9781728182131

ISBN: (纸本)9781728182131

In this paper, our latest research related to digital twins and virtual reality environments for safety training purposes will be described and evaluated. We will present three practical use cases to outline the current maturity level of virtual reality technology for industrial environments. Two of our use cases are virtual reality applications for safety and emergency training scenarios. In addition, one use case is the implementation of a digital twin for off-site safety training. this use case presents a seamless real-time transfer of data between the physical and virtual worlds. Use cases were developed based on the needs of, and in co-operation with, local small and medium-sized enterprises (SMEs). the proposed affordable and simple approaches provide virtual safety training solutions that can be utilized by SMEs of different industries.

关键词： Training Digital twin Virtual environments real-time systems Production facilities Safety Task analysis

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2020 11th international conference on Electrical Power Drive systems, ICEPDS 2020 - Proceedings

2020 11th International Conference on Electrical Power Drive...

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11th international conference on Electrical Power Drive systems, ICEPDS 2020

ISBN: (纸本)9781728165387

the proceedings contain 61 papers. the topics discussed include: comparative analysis of permanent magnet synchronous machines designed for electric power steering applications;performance comparison between copper and aluminum windings in a rim driven fan for a small unmanned aircraft application;model predictive control with reduced integration step size of a switched reluctance drive;concept of the test bench for electrical vehicle propulsion drive data acquisition;real-time diagnostic for the temperature sensors with linear resistance dependence via an artificial neural network;about network master's program 'digitalization of industrial electrotechnical complexes';suppression of structural vibrations of an overhead crane using Takagi-Sugeno-Kang fuzzy controller;fuzzy logic control of electric vehicles in changing braking conditions;and curricula reforms through structural reforms.

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A Comparison of Kubernetes and Kubernetes-Compatible Platforms

A Comparison of Kubernetes and Kubernetes-Compatible Platfor...

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IEEE international Workshop on Intelligent Data Acquisition and Advanced computing systems: Technology and applications

作者： Sergii Telenyk Oleksii Sopov Eduard Zharikov Grzegorz Nowakowski National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute” Kyiv Ukraine Cracow University of Technology Krakow Poland

ISBN: (纸本)9781665426060

Nowadays, Kubernetes is an advanced container orchestration tool due to its high reliability, scalability and fault tolerance. However, Kubernetes requires a significant number of resources for its work. therefore, to ensure the operation of Kubernetes in conditions of limited resources, lightweight analogues such as MicroKubernetes and K3S were created. these platforms provide easier deployment and support. In this paper, the authors analyze performance metrics for orchestration actions such as adding/removing nodes and starting/stopping deployments in terms of resource utilization, cluster startup speed, and consumed time for lightweight platforms and original Kubernetes. the results show that the original Kubernetes outperforms MicroKubernetes and K3S in many tests, but K3S demonstrates better disk utilization. On the other hand, MicroKubernetes demonstrates worst results in the performed tests.

关键词： Performance evaluation Fault tolerance Scalability conferences Fault tolerant systems Data acquisition Containers

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Agile systems Engineering in Complex Scenarios

Agile Systems Engineering in Complex Scenarios

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IEEE international Workshop on Intelligent Data Acquisition and Advanced computing systems: Technology and applications

作者： Carsten Wolff Philipp Tendyra Carsten Wiecher Fachhochschule Dortmund IDiAL Dortmund

ISBN: (纸本)9781665426060

the successful development of complex systems of systems (SoS) is highly dependent on quality of the requirements engineering (RE). the goal is to get “good” requirements in the beginning and to keep them stable until the delivery of the final product. In reality, this is wishful thinking. In complex real-world scenarios the requirements are never fully understood and never stable - they evolve during the development process. this is a severe issue for complex and highly elaborated systems engineering processes. Usually, the projects get out of control due to the change requests or do not deliver a result fitting the current need of the customer. Elaborated innovation management, marketing and customer relation processes are used to understand the need of the customer (market pull) and the new technical possibilities (technology push). the design and implementation of such innovation management processes is complex in itself and well researched. this paper extends the state-of-the-art with a focus on the interfacing between the systems engineering process (for the product development) and the innovation management process (for the ideation and innovation creation). We propose a parallel, interlinked execution of both processes instead of the over-the-fence practice where an innovation idea is handed over to product development at a certain point of time. A continuous interaction of both processes with agile management methods reduces the risk of getting the wrong product. Instead of using wrong or outdated information in the product development due to the missing updates from innovation management, a continuous linking and exchange mechanism with the systems engineering project is proposed. Interlinking these two complex processes is addressed with scenario-based methods and a process similar to BizDevOps. the full paper will evaluate the concepts based on a complex eMobility case study.

关键词： Technological innovation conferences Fitting Data acquisition Innovation management Product development Requirements engineering

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Innovative Incremental K-Prototypes Based Feature Selection for Medicine and Healthcare applications 11th

Innovative Incremental K-Prototypes Based Feature Selection ...

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11th KES international conference on Innovation in Medicine and Healthcare, InMed 2023

作者： Gorrab, Siwar Rejab, Fahmi Ben Nouira, Kaouther Université de Tunis ISGT LR99ES04 BESTMOD Tunis Tunisia

ISBN: (纸本)9789819933105

the real issue in healthcare systems is how to detect, gather, analyze and handle medical data to make people’s lives advantageous and healthier. this is by contributing not only to understand recent diseases and therapies, but also to predict outcomes at earlier stages in order to make real-time decisions. Especially when raw data comes with missing values, redundancies, and/or inconsistencies, feature selection is required as a mandatory step to be applied before starting the learning process. Driven by the juxtaposition of big data and powerful machine learning techniques, this paper presents a medical application that improves the process of clinical care, advances medical research, and improves efficiency based on feature selection. this streaming feature application presents new solutions for helping in early detection of diseases, treatment recommendations, and clinical services to doctors. Experimental results show significant inertia results and efficient execution time compared to the batch k-prototypes and a proposed Incremental k-prototypes method. © 2023, the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Big data

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