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Network Function Virtualization (NFV) shed new light for the design, deployment, and management of cloud networks. Many network functions such as firewalls, load balancers, and intrusion detection systems can be virtualized by servers. However, network operators often have to sacrifice programmability to achieve high throughput, especially at networks' edge where complex network functions are required...
In order to reduce the error caused by the inaccuracy of the sensor data and the wear of the mechanical structure in the motion control of manipulator and improve the self-learning ability of manipulator, this paper investigates a new method. We first use Kalman filter to compensate the error by fusing sensor data and the state error of the manipulator. Then, we use Q-learning to make manipulators...
Traditional Chinese Medicine (TCM) symptoms are the basis of the diagnosis and differentiation. Analyzing TCM symptoms is significant for discovering the knowledge of TCM. Different doctors of TCM prefers using different terms for the same symptom, which is not conducive to the standardization of TCM knowledge and hinders the heritage of TCM. This paper presents a solution to structure the symptoms...
Traditional Chinese Medicine (TCM) symptoms are the basis of the diagnosis and differentiation. Analyzing TCM symptoms is significant for discovering the knowledge of TCM. Different doctors of TCM prefers using different terms for the same symptom, which is not conducive to the standardization of TCM knowledge and hinders the heritage of TCM. This paper presents a solution to structure the symptoms...
To take full advantages of Wide Bandgap power semiconductor devices, breakthroughs on power module development are heavily explored nowadays. This paper introduces a 1.2kV SiC half bridge intelligent power module utilizing 80μm flexible epoxy-resin as substrates instead of traditional Direct-bonded Copper, for better thermal-stress management and lower cost. The investigation on the flexible epoxy-resin...
This paper introduces an enhanced speed self-sensing method that tracks stator flux linkage in electric machines at very low speeds. Volt-second sensing technology is used to mitigate the inverter nonlinearity, which is the major source of flux estimation error in the very low speed range. By integrating volt-second sensing in the Gopinath style closed-loop flux observer, the rotor speed information...
Recent advances in the Internet-of-Things has given rise to the possibility of connecting different kinds of devices to the internet. With low computing resources constraining most IoT devices and their networks, managing the capabilities and services of the various constrained devices over the internet has been an issue for IoT implementations. Existing approaches to this problem lack end-to-end...
Information sharing is critical to multi-agent team for cooperative decision making in dynamic and partially observable environments. Other than building a full information coverage, if agents in a team can be self-directed to valuate a potential receiver and where to communicate, the coordination efficiency will be greatly enhanced. Although intensive studies of information valuation approaches have...
A bi-mode active frequency selective surface (AFSS) switching between band-pass and band-stop modes is presented in this paper. For large scale application, a novel bias network based on Wheatstone bridge is adopted in design. The good performance of AFSS proves its potentials in improving the security of indoor communication.
In this letter, a new technique for designing symmetric cascaded frequency selective surfaces with arbitrary bands of operation, with Butterworth band-pass responses at band of operation, is presented and experimentally verified. The technique is based on utilizing mutual admittance to represent transmission coefficient and getting a Butterworth response numerically through optimum parameter of the...
The effect of gamma radiation with a maximum dose of 180 kGy at a dose rate of 10.15 kGy/hour on both standard Ge-doped fiber Bragg Gratings (Ge-FBG) and femtosecond-laser-inscribed pure-silica-core fiber Bragg Gratings (FL-PS-FBG) have been investigated. In the case of Ge-FBGs, a maximum Bragg wavelength shifts (BWS) of 140 pm and a decrease of the reflection peak power of 16 dB has been observed...
Spectrum sensing is the fundamental technology of Cognitive Radio (CR). This paper proposes a novel multiple-antenna based spectrum sensing method with random arrivals of primary users (PUs). The method first constructs a local test statistic for each antenna based on the assumption that the PU is randomly arriving, and then calculates the estimated optimum coefficient for every local test statistic...
Hyperspectral image (HSI) classification is a popular issue in the domain of remote sensing. The fundamental challenges in HSI classification include small number of training samples, high dimensionality of the hyperspectral data and suitable spatial-spectral features. In this paper, we propose a novel multiple features fusion method for HSI classification based on extreme learning machines (ELM)...
In this paper, a new classifier under Bayesian framework is proposed to explore homogeneous region based low rank representation in hidden field for classification of hyperspectral imagery (HSI). This classifier integrates low rank representation and superpixel segmentation simultaneously, in which the HSI data is assumed to be lying in a low rank subspace within each homogeneous region of an estimated...
In this paper, spacecraft attitude control is investigated by fuzzy control and quantization. The spacecraft attitude control model is transformed into a T-S fuzzy system with appropriate fuzzy rules. Moreover, a “zoom” strategy is applied to deal with the influence of quantization. A fuzzy controller is designed to guarantee the stability of the fuzzy system with quantization. A sufficient condition...
With the rapid development of cloud computing, more and more users choose to deploy the application services on the virtual machine in the cloud platform. OpenStack is one of the most popular platforms in open source. At present, there are a few researches on the load balancing of virtual machines in cloud platform. Most of the researches adopt the traditional dynamic load balancing algorithm, the...
The quality of water resources has a direct impact on the daily life of mankind and the sustainable development of society. However, with the rapid development of national industrialization, the current industrial wastewater discharge and improper handling have become more and more serious, especially for the growing domestic water pollution today, it is an urgent need for an efficient water quality...
Different from the traditional web services, the big data services' execution duration vary from the input data volume, so the traditional Quality of Service (QoS) analysis model for traditional web services cannot be directly applied to big data services. Additionally, since many big data or web services provide overlapping or identical functionality, albeit with the description of different QoS,...
Natural ester as an environmentally friendly dielectric liquid is becoming commonly used in power transformer. However, it is susceptible to oxidation. Under severe oxidation, the oil sample could gel whose impact on insulation performance is not known. In this research, we focus on the impact of the gelling process of natural ester on its breakdown characteristics. In order to survey this, a breakdown...
In order to enhance the overload withstand performance of distribution transformers, the mixed insulating oil of mineral and vegetable oil have been used in thousands of distribution transformers in the power grid of China. During the manufacture of transformers, the residual oil in filling pipeline and storage container can mix with refilling insulating oil. Therefore, the performance of mineral...
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