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Energy efficiency is likely to be the litmus test for the sustainability of upcoming 5G networks. Before the new generation of cellular networks are ready to roll out, their architecture designers are motivated to leverage the SDN technology for the sake of its offered flexibility, scalability, and programmability to achieve the 5G KPI of 10 times lower energy consumption. In this paper, we present...
The integration of both fronthaul and backhaul into a single transport network (namely, 5G-Crosshaul) is envisioned for the future 5G transport networks. This requires a fully integrated and unified management of the fronthaul and backhaul resources in a cost-efficient, scalable and flexible way through the deployment of an SDN/NFV control framework. This paper presents the designed 5G-Crosshaul architecture,...
The analysis technique of main SF6 decomposition products (etc. SOF4 and SO2F2) is expected to compensate for the ultra-high frequency (UHF) method in partial discharge (PD) diagnosis and insulation condition monitoring of power equipment. SOF4 and SO2F2 as well as other corrosive byproducts derived from the reactions of SF6 dissociation species (e.g., SF2, SF3 and SF4) with the trace impurities of...
In this paper, we introduce Mayflower, a new distributed filesystem that is co-designed from the ground up to work together with a network control plane. In addition to the standard distributed filesystem components, Mayflower has a flow monitor and manager running alongside a software-defined networking controller. This tight coupling with the network controller enables Mayflower to make intelligent...
Recently, induced by incorporating the ubiquitous data gathering capability of wireless sensor networks (WSNs) as well as the powerful data storage and data processing abilities of cloud computing (CC), WSN-CC integration is attracting growing interest from both academia and industry. However, WSN-CC integration is still in its infancy and a lot of research efforts are expected to emerge in this area...
This paper proposes a Realized Trading Volatility (RTV) model for dynamically monitoring anomalous volatility in stock trading. Specifically, the RTV model first extracts the sequences for price volatility, volume volatility, and realized trading volatility. Then, the K-means algorithm is exploited for clustering the summary data of different stocks. The RTV model investigates the joint-volatility...
Water quality monitoring is a prerequisite for water pollution control. The rapid development of remote sensing technology will provide a new technical support. In this paper, with the study of the Weihe River in Shaanxi Province, RWQMS (Remote-sensing Water Quality Monitoring System V1.0) is designed and implemented based on SPOT-5 remote-sensing image and the system structure and key technologies...
In this project our goal is to create a health monitoring system that can transmit the vital signs of a patient through an ad-hoc wireless sensor network for a mass causality emergency application. The health monitoring device is to be placed on an injured victim during an emergency and act as a sensor node to connect to a wireless ad-hoc network to transmit the patient's vital sign data. The target...
To control high speed underwater vehicles, a proximity ranging system is needed to monitor the cavity thickness. In this paper, we study a time-of-flight (TOF) principle based acoustic proximity ranging system. By taking into account the acoustically hard boundary at the air-water interface, we first present a two-stage computationally efficient time delay estimation algorithm, referred to as the...
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