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This demo presents an end-to-end hierarchical control of a multi-domain multi-technology integrated fronthaul and backhaul network where a parent controller coordinates the operation of a wireless and optical child controllers managing real wireless and optical data plane resources. The services offered by this hierarchical control infrastructure are accessed through the offered REST-based northbound...
To guarantee the thermal safety and obtain good performance of a solid oxide fuel cell (SOFC), the operating temperature and temperature gradient of SOFC must be constrained within a proper range. Thus, it's important to obtain the spatial temperature distribution of SOFC in real time. However, the inner temperature of the fuel cell cannot be obtained by installing thermocouples with acceptable cost...
As solid oxide fuel cell (SOFC) systems fueled with natural gas and biogas are applied widely, the capture and utilization of CO2 in SOFC exhaust gas are important issues. This paper proposes a new SOFC system combined with a solid oxide electrolysis cell (SOEC) stack, which absorbs renewable electrical power such as solar power and wind power to convert CO2 in SOFC exhaust gas into fuel by electrolysis...
SF6 has been widely used as insulating and arc-extinguishing medium in power equipment. Under discharges, lower fluorides of sulfur generated by the dissociations of SF6 will react with unavoidable moisture and oxygen to form corrosive byproducts (etc., SOF2, SO2F2, SOF4). These byproducts will reduce the insulating and arc-quenching capacity of SF6 power equipment, so it is necessary to study their...
Energy efficiency has gradually become an important factor for improving the user experience of smartphones. Many background applications continue to consume energy without users' awareness, because these applications use wakelock to prevent the device from going to sleep state, while such misused will cause no-sleep bugs. In this paper, a framework for sensing wakelock application and mining users'...
In cognitive radio network (CRN), secondary users (SUs) suffer from the spectrum sensing data falsification (SSDF) attack launched by malicious users (MUs). To deal with SSDF attack, one of the typical artificial neural networks (ANN): self-organizing map (SOM) neural network is recommended. SOM network possesses the ability of classifying the SUs into categories with different frequency of occurrence...
It's increasing clear that departures from both thermal and chemical equilibrium exist in conditions relevant to high-voltage circuit breakers after current zero. The electron temperature (Te) is often higher than the heavy species temperature (Th). We are intended to investigate the effects of N2 contents on the electron temperature and non-equilibrium composition during the arc decaying process,...
In this paper, the research on the observation method of state of charge (SOC) of the Li-ion battery is carried on aiming at the current problems of the low precision of the SOC observation results, an accurate and efficient SOC observation method is designed for Li-ion battery based on a 2nd-order RC model with variable parameters. Firstly, the A Amper-Hour (AH) integral estimator is built according...
In this paper, we address the problem of person re-identification, which refers to associating the persons captured from different cameras. We propose a simple yet effective human part-aligned representation for handling the body part misalignment problem. Our approach decomposes the human body into regions (parts) which are discriminative for person matching, accordingly computes the representations...
Convolutional neural networks(CNNs) have been widely applied in various applications. However, the computation-intensive convolutional layers and memory-intensive fully connected layers have brought many challenges to the implementation of CNN on embedded platforms. To overcome this problem, this work proposes a power-efficient accelerator for CNNs, and different methods are applied to optimize the...
Today, artificial neural networks (ANNs) are widely used in a variety of applications, including speech recognition, face detection, disease diagnosis, etc. And as the emerging field of ANNs, Long Short-Term Memory (LSTM) is a recurrent neural network (RNN) which contains complex computational logic. To achieve high accuracy, researchers always build large-scale LSTM networks which are time-consuming...
Large-scale graphs processing attracts more and more attentions, and it has been widely applied in many application domains. FPGA is a promising platform to implement graph processing algorithms with high power-efficiency and parallelism. In this paper, we propose OmniGraph, a scalable hardware accelerator for graph processing. OmniGraph can process graphs with different sizes adaptively and is adaptable...
This paper considers estimating the trajectory of a moving source on Earth using time difference of arrival (TDOA) and frequency difference of arrival (FDOA) measurements obtained over time at multiple satellites. The known satellite locations are subject to random errors. To cope with the source maneuver and/or temporal variations of the satellite location errors, a moving horizon estimation (MHE)-based...
This paper introduces an automatic calibrated pure electric (EV) mode of automatic switching based on bus road conditions. The entire vehicular control system collects bus road spectra using specific methods, identifies if the direction of the bus is along the predetermined bus lane, and records the positions where the driver manually switches the model, to finally implement an automatic EV switchover...
The comprehensive evaluation of performance of vehicle guidance system is studied in the paper. Firstly, performance index system of guidance system is set up; then the Attribute Hierarchical Model(AHM) based on ball game model is used to define the hypotaxis and relativity between each indexes; finally, the performance score of guidance system is calculated. By these works the efficiency and rationality...
The Intrusion Detection Systems (IDS) is becoming important and quite timing/space consuming due to the increasing volume of explosive data flood. During the past decades, there have been plenty of studies proposing software mechanisms to exploit the temporal locality in the IDS systems. However, it requires considerable memory blocks to store the redundancy table, therefore, the performance as well...
The solid suspended particles originating from the process of installation and operation of converter transformer can affect the insulation performance of insulating oil, thereby, leading to equipment failure. Previous studies show that the difference of motion characteristic can cause the DC breakdown voltage of contaminated insulating oil is lower than that of AC voltage. Therefore, the motion characteristic...
In cognitive radio networks (CRNs), spectrum sensing data falsification (SSDF) is one of the most typical attack which hugely degrades the detection performance of cooperative spectrum sensing (CSS). SSDF and defense strategies have been an active field of research, but countermeasures of existing researches are sensitive to the number of malicious users (MUs). In this paper, we propose a two-stage...
Large-scale data is often represented as graphs in the field of modern cloud computing. Graph processing attracts more and more attentions when utilizing the cloud computing service. With the increasing attentions to process massive graphs (e.g., social networks, web graphs, transport networks, and bioinformatics), many state-of-the-art open source graph computing systems on a single node have been...
The metallic particles originating from the process of installation and operation of converter transformers can affect the insulating performance of transformer oil when subjected to electric field containing DC component and may cause discharge accidents. Therefore, the influence of particles on the breakdown strength of insulating oil at DC voltage and the mechanism behind the phenomena has gained...
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