Real-time computing ≈ Real-time computing
View article: SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size Open
Recent research on deep neural networks has focused primarily on improving accuracy. For a given accuracy level, it is typically possible to identify multiple DNN architectures that achieve that accuracy level. With equivalent accuracy, sm…
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GMAN: A Graph Multi-Attention Network for Traffic Prediction Open
Long-term traffic prediction is highly challenging due to the complexity of traffic systems and the constantly changing nature of many impacting factors. In this paper, we focus on the spatio-temporal factors, and propose a graph multi-att…
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Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction Open
This paper proposes a convolutional neural network (CNN)-based method that learns traffic as images and predicts large-scale, network-wide traffic speed with a high accuracy. Spatiotemporal traffic dynamics are converted to images describi…
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Efficient Deployment of Multiple Unmanned Aerial Vehicles for Optimal Wireless Coverage Open
In this paper, the efficient deployment of multiple unmanned aerial vehicles\n(UAVs) with directional antennas acting as wireless base stations that provide\ncoverage for ground users is analyzed. First, the downlink coverage probability\n…
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WORLD: A Vocoder-Based High-Quality Speech Synthesis System for Real-Time Applications Open
A vocoder-based speech synthesis system, named WORLD, was developed in an effort to improve the sound quality of real-time applications using speech. Speech analysis, manipulation, and synthesis on the basis of vocoders are used in various…
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2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Open
A plethora of state estimation techniques have appeared in the last decade\nusing visual data, and more recently with added inertial data. Datasets\ntypically used for evaluation include indoor and urban environments, where\nsupporting vid…
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Ultra Wideband Indoor Positioning Technologies: Analysis and Recent Advances Open
In recent years, indoor positioning has emerged as a critical function in many end-user applications; including military, civilian, disaster relief and peacekeeping missions. In comparison with outdoor environments, sensing location inform…
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Mobile Unmanned Aerial Vehicles (UAVs) for Energy-Efficient Internet of Things Communications Open
International audience
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ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation Open
The ability to perform pixel-wise semantic segmentation in real-time is of paramount importance in mobile applications. Recent deep neural networks aimed at this task have the disadvantage of requiring a large number of floating point oper…
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Can commercial low-cost sensor platforms contribute to air quality monitoring and exposure estimates? Open
The emergence of low-cost, user-friendly and very compact air pollution platforms enable observations at high spatial resolution in near-real-time and provide new opportunities to simultaneously enhance existing monitoring systems, as well…
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Placement Optimization of UAV-Mounted Mobile Base Stations Open
In terrestrial communication networks without fixed infrastructure, unmanned\naerial vehicle (UAV)-mounted mobile base stations (MBSs) provide an efficient\nsolution to achieve wireless connectivity. This letter aims to minimize the\nnumbe…
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Earthquake transformer—an attentive deep-learning model for simultaneous earthquake detection and phase picking Open
Earthquake signal detection and seismic phase picking are challenging tasks in the processing of noisy data and the monitoring of microearthquakes. Here we present a global deep-learning model for simultaneous earthquake detection and phas…
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A review on wearable photoplethysmography sensors and their potential future applications in health care Open
Photoplethysmography (PPG) is an uncomplicated and inexpensive optical measurement method that is often used for heart rate monitoring purposes. PPG is a non-invasive technology that uses a light source and a photodetector at the surface o…
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Standardized End Point Definitions for Coronary Intervention Trials: The Academic Research Consortium-2 Consensus Document Open
The Academic Research Consortium (ARC)-2 initiative revisited the clinical and angiographic end point definitions in coronary device trials, proposed in 2007, to make them more suitable for use in clinical trials that include increasingly …
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Channel Estimation for Intelligent Reflecting Surface Assisted Multiuser Communications: Framework, Algorithms, and Analysis Open
In intelligent reflecting surface (IRS) assisted communication systems, the acquisition of channel state information is a crucial impediment for achieving the beamforming gain of IRS because of the considerable overhead required for channe…
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MU-MIMO Communications With MIMO Radar: From Co-Existence to Joint Transmission Open
Beamforming techniques are proposed for a joint multi-input-multi-output (MIMO) radar-communication (RadCom) system, where a single device acts as radar and a communication base station (BS) by simultaneously communicating with downlink us…
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Caching in the Sky: Proactive Deployment of Cache-Enabled Unmanned Aerial Vehicles for Optimized Quality-of-Experience Open
In this paper, the problem of proactive deployment of cache-enabled unmanned aerial vehicles (UAVs) for optimizing the quality-of-experience (QoE) of wireless devices in a cloud radio access network is studied. In the considered model, the…
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Mobile Edge Computing via a UAV-Mounted Cloudlet: Optimization of Bit Allocation and Path Planning Open
Unmanned aerial vehicles (UAVs) have been recently considered as means to provide enhanced coverage or relaying services to mobile users (MUs) in wireless systems with limited or no infrastructure. In this paper, a UAV-based mobile cloud c…
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The CMS trigger system Open
This paper describes the CMS trigger system and its performance during Run 1 of the LHC. The trigger system consists of two levels designed to select events of potential physics interest from a GHz (MHz) interaction rate of proton-proton (…
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Delay-optimal computation task scheduling for mobile-edge computing systems Open
Mobile-edge computing (MEC) emerges as a promising paradigm to improve the quality of computation experience for mobile devices. Nevertheless, the design of computation task scheduling policies for MEC systems inevitably encounters a chall…
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Distributed Deep Neural Networks Over the Cloud, the Edge and End Devices Open
We propose distributed deep neural networks (DDNNs) over distributed computing hierarchies, consisting of the cloud, the edge (fog) and end devices. While being able to accommodate inference of a deep neural network (DNN) in the cloud, a D…
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UAV-Based IoT Platform: A Crowd Surveillance Use Case Open
Unmanned aerial vehicles (UAVs) are used to provide diverse civilian, commercial, and governmental services. In addition to their original tasks, UAVs can also be used to offer numerous value-added internet of things services (VAIoTSs). Sh…
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UAV-YOLOv8: A Small-Object-Detection Model Based on Improved YOLOv8 for UAV Aerial Photography Scenarios Open
Unmanned aerial vehicle (UAV) object detection plays a crucial role in civil, commercial, and military domains. However, the high proportion of small objects in UAV images and the limited platform resources lead to the low accuracy of most…
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Process defects and<i>in situ</i>monitoring methods in metal powder bed fusion: a review Open
Despite continuous technological enhancements of metal Additive Manufacturing (AM) systems, the lack of process repeatability and stability still represents a barrier for the industrial breakthrough. The most relevant metal AM applications…
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Sensor and Sensor Fusion Technology in Autonomous Vehicles: A Review Open
With the significant advancement of sensor and communication technology and the reliable application of obstacle detection techniques and algorithms, automated driving is becoming a pivotal technology that can revolutionize the future of t…
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Massive Connectivity With Massive MIMO—Part I: Device Activity Detection and Channel Estimation Open
This two-part paper considers an uplink massive device communication scenario\nin which a large number of devices are connected to a base-station (BS), but\nuser traffic is sporadic so that in any given coherence interval, only a subset\no…
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Precision Agriculture Techniques and Practices: From Considerations to Applications Open
Internet of Things (IoT)-based automation of agricultural events can change the agriculture sector from being static and manual to dynamic and smart, leading to enhanced production with reduced human efforts. Precision Agriculture (PA) alo…
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The Sky Is Not the Limit: LTE for Unmanned Aerial Vehicles Open
Many use cases of unmanned aerial vehicles (UAVs) require beyond visual\nline-of-sight (LOS) communications. Mobile networks offer wide area, high\nspeed, and secure wireless connectivity, which can enhance control and safety\nof UAV opera…
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Reconfigurable Intelligent Surface Assisted UAV Communication: Joint Trajectory Design and Passive Beamforming Open
International audience
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An LSTM Network for Highway Trajectory Prediction Open
In order to drive safely and efficiently on public roads, autonomous vehicles will have to understand the intentions of surrounding vehicles, and adapt their own behavior accordingly. If experienced human drivers are generally good at infe…