The proceedings contain 88 papers. The topics discussed include: reaction wheel control of an 3d printed inverted pendulum;using advanced V2X communication technologies in self-organized VANETs;stability of switched l...
ISBN:
(纸本)9781665439398
The proceedings contain 88 papers. The topics discussed include: reaction wheel control of an 3d printed inverted pendulum;using advanced V2X communication technologies in self-organized VANETs;stability of switched linear systems with average dwell time – a result encompassing several prior approaches;assessment of quality of health services in fractal-organized connectionist networks;top-level scene information extraction from eye-level view images;working with datasets: experience from research projects;IoT-based ambient parameters monitoring device for in-home elderly care;performance analysis of a low-cost small-scale flywheel energy storage system;context awareness in enterprise systems design;gesture-based human-robot interaction;and segmentation of brain tumors from MRI images using deep neural networks.
The rapid advancement of optical communication technologies has necessitated the development of highly efficient and stable photonic integrated circuits that enable coherent signal processing in the optical domain. Am...
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Sensors and their derived data have reshaped manufacturing by enabling real-time monitoring, improved quality control and enhanced safety, particularly in automotive processes. Despite these benefits, challenges arise...
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The article concerns mathematical modeling and simulation of container handling in a sea container terminal based on queueing theory. The model has the form of a queueing network (QN), and various request flows are ap...
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The convergence of Information Technology (IT) and Operational Technology (OT) in Industrial control System (ICS) comes with severe cybersecurity challenges that increasingly pose threats to critical infrastructures. ...
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Existing task deployment frameworks for edge clusters optimize at the model-level, lacking fine-grained resource awareness and concurrency control, where the urgent tasks are frequently blocked and miss their deadline...
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ISBN:
(纸本)9798400714795
Existing task deployment frameworks for edge clusters optimize at the model-level, lacking fine-grained resource awareness and concurrency control, where the urgent tasks are frequently blocked and miss their deadlines. Therefore, we propose a multi-level collaborative deployment framework Coconut for real-time deep learning tasks in the typical heterogeneous edge GPU cluster. Coconut collaboratively optimizes model deployment and fine-grained concurrency control. To address the high complexity of multi-level collaborative optimization, we employ an efficient learning-based search algorithm. Based on the operator-level information, we also pre-train an accurate latency predictor for each device, enabling centralized optimization to further accelerate the search. We conduct a preliminary evaluation in an edge cluster and validate the effectiveness of Coconut.
In the current expanding digital society, healthcare systems still face digitalization challenges due to legacy systems and the complex workflows for processing medical data. Adoption of internal Enterprise Architectu...
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Digital technologies nowadays play a crucial role in many aspects of our lives, such as health, work, security, wellbeing, etc. A lot of such technologies are used in conjunction with Cloud technologies. Cloud Technol...
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This paper describes a pilot case study about how administrative processes can be digitalized. We present details behind a cloud ecosystem that enables researchers and students at Politehnica University of Bucharest t...
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As society becomes more inter-dependent and inter-connected, the need of timely and efficient decision-making has become a necessity. Thus, the number of decision-making systems has steadily risen, allowing for an ove...
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