Search Results

Real-time streaming applications like cloud gaming require consistently low latency, even at the tail. Our large-scale measurement based on a major cloud gaming service provider reveals that in Wi-Fi networks, the delay of the wireless hop can inflate ...

Wi-Fi direct transport provides versatile connectivity that enables convenient data sharing and improves the productivity of mobile end users. However, as today's smartphones are capable of near-Gbps wireless data rates, current solutions do not ...

Control flow recovery is critical to promise the software quality, especially for large-scale software in production environment. However, the efficiency of most current control flow recovery techniques is compromised due to their runtime overheads along ...

• The FACS-GCN is built to model the inherent AU relations referring to FACS.
• The DLR-GCN is built to complement individual differences ignored by FACS-GCN.
• The DGCN is proposed to integrate two types factors impacting AU ...

Facial Action Unit (AU) recognition is a challenging problem, where the subtle muscle movement brings diverse AU representations. Recently, AU relations are utilized to assist AU recognition and improve the understanding of AUs. Nevertheless, ...

This paper demonstrates AGQ [26] - our system for approximate and interactive processing of aggregate queries on knowledge graphs (KGs), e.g., "what is the average price of cars produced in Germany?" One can support aggregate queries based on factoid ...

• Propose a novel data-aware relation graph generator to build dynamic AU relation.
• Establish a DAR-GCN to improve discriminative AU representation learning.
• Improve the robustness of AU relation representation, especially in wild ...

Display Omitted

In the paper, we propose a novel Data-aware relation graph convolutional neural network (DAR-GCN) for AU recognition. With learning and updating the relation dynamically, it facilitates modeling the potential dynamic individual facial expressing ...

With autonomous vehicles (AVs) being actively developed, it becomes possible to optimize vehicle control policies and traffic management tools in a mixed vehicular environment. For individual AV control, acceleration and lane change are the two elementary ...

The open government movements facilitate the transparency and sharing of government data. Provenance of open government data (OGD) describes source information related to who, how, where, when and other information over the lifecycle of OGD. Provenance ...

3-D field solvers have become popular tools for parasitic capacitance extraction of full custom circuits, IPs, and packages. Traditional field solvers based on finite difference method/finite element method/floating random walk truncate the field on the ...

Energy efficiency is of utmost importance for wireless networks due to the prevalent usage of mobile devices in WLAN and wireless sensor networks (WSNs). Consequently, duty cycling MAC protocols are widely employed in both WLAN (i.e., power saving mode - ...

This paper investigates the compress-and-forward scheme for an uplink cloud radio access network (C-RAN) model, where multi-antenna base stations (BSs) are connected to a cloud-computing-based central processor (CP) via capacity-limited fronthaul links. ...

In order to perform accurate parasitic extraction, foundries must provide the cross section profile of devices, and IP vendors must provide sufficient layout information. However, foundries and IP vendors are increasingly reluctant to reveal such ...

This paper considers the joint fronthaul compression and transmit beamforming design for the uplink cloud radio access network (C-RAN), in which multi-antenna users communicate with a cloud-computing based centralized processor (CP) through multi-antenna ...

Coexisting 802.11 and 802.15.4 single-cell wireless networks are experiencing significant performance degradation due to the aggressive nature of 802.11 (when compared to 802.15.4) and to their different traffic characteristics [1]. Providing tight delay ...