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We exploit ultrafast extreme-UV angle-resolved photoemission spectroscopy (XUV ARPES) for sensitive studies of non-equilibrium carrier dynamics in MoSe2. The experiments reveal inter-valley scattering and provide first evidence for the observation of band-gap excitons in ARPES.
Aiming at the multi-modal three-dimensional skull registration, a methodology for constructing invariants of pupil distance relative features based on Clifford algebra is proposed in present work. Through hybrid programming of MATLAB and C#, a corresponding visualization registration platform is built for visualization operation. The algorithm proposed here is accomplished in the Clifford algebra...
In order to strengthen the framework structure of distribution network, promote the agility of its control methods, and improve its intelligent and automation level, Soft Normally-Open Point (SNOP) as a novel power electronic device is installed in distribution network, which can provide accurate control of real and reactive power flow. This paper proposed the dynamic mathematical model of three-port...
Fog computing is a promising technology that enables users to perform time-sensitive IoT analytics at locations near the clients. Recent studies have shown the improved delivery performance of fog networks by comparing them with traditional cloud-based architectures. In this paper, we focus on further improving the delivery performance of a fog network. We first show that the performance of fog networks...
This work considers the use of multi-defect Photonic Band Gap (PBG) structures to form a novel multi-beam Klystron. A photonic crystal (PC) is a periodic arrangement of media with different refractive indices to form a lattice. Electromagnetic (EM) waves at certain frequencies can propagate through this lattice, but at other frequencies they cannot. The frequency regions where the wave can propagate...
Towards realizing the goal of connecting everything in every possible way to the Internet, researchers recently are focusing on connecting Internet of Things (IoTs) in challenged environments that suffer from disrupted connectivity. To this end, Delay-Tolerant Network (DTN) is considered as a potential enabler for providing communication in such environments. We argue that the existing approaches...
Software-Defined Networking (SDN) enables users to programmatically manage individual data flows in the network. Beyond managing data flows, an SDN enabled switch that automatically manages different applications in the form of an ecosystem has more practical benefits. Recently there is an increasing interest on migrating applications from ‘Cloud’ to the edge switches, such as ‘Fog’ computing for...
Performance of data analytics in Internet of Things (IoTs) depends on effective transport services offered by the underlying network. Fog computing enables independent data-plane computational features at the edge-switches, which serves as a platform for performing certain critical analytics required at the IoT source. To this end, in this paper, we implement a working prototype of Fog computing node...
In view of the illumination changes and the deformations of objects in the traffic environment, a template update object tracking algorithm which is based on the fusion of color and texture features is proposed. Under the framework of traditional algorithm, the algorithm not only takes the weighted color histogram to describe the object's color, but also fuses LTP texture operator. Finally, the object...
In the field of robots' obstacle avoidance and navigation, indirect contact sensors such as visual, ultrasonic and infrared detection are widely used. However, the performance of these sensors is always influenced by the severe environment, especially under the dark, dense fog, underwater conditions. The obstacle avoidance robot based on tactile sensor is proposed in this paper to realize the autonomous...
Considerable evidence suggests that the lateral line system serves an important role in fish-like locomotion by providing hydrodynamic information about the surrounding fluid. In this paper, a fish-like locomotion model is developed in an ideal fluid with a background flow estimation algorithm inspired by the lateral line system. Specifically, the fish model is geometrically formulated with the Joukowski...
Considerable evidence suggests that the lateral line system found in most fish and some other aquatic organisms serves an important role in many behaviors by providing hydrodynamic information about the surrounding fluid. A lateral line inspired pressure feedforward control design was proposed by the group; the goal of the research is to improve maneuvering accuracy for autonomous underwater vehicles...
Studies have shown that the lateral line found in most fish and some other aquatic organisms is capable of providing hydrodynamic information of the surrounding fluid, which may facilitate many behavioral decisions. Previous work by the group introduced a lateral line inspired feedforward design for underwater vehicle control. The system utilizes pressure sensor arrays to estimate the hydrodynamic...
The research on smart cars involves many fields, such as DC/AC motor and its driving, sensors and testing technology, signal processing, computer recognition, data fusion technology, vehicle engineering and so on. It is important and necessary to explore and improve the intelligent vehicle and the intelligent transportation system by researching models of smart cars. A smart car, which adopts photoelectric...
We demonstrate a high-flux XUV harmonics source at 50-kHz repetition rate, exploiting favorable wavelength scaling and phasematching in ultraviolet generation fields. Direct isolation of individual narrowband harmonics between 7.9 eV and 22.3 eV is achieved.
A nonlinear PD controller is developed in new strategy to keep acceptable performance of an electro-hydraulic force system in the condition of large variation of stiffness and load. The controller uses two nonlinear tracking differentiators to obtain high quality differential signals. New approach is adopted to build the nonlinear gain functions and experiential formulas are given to determine the...
The 2-D space in which sample data are distributed is divided into a series of basic logic grids. The information of density and distribution trend of samples in each grid is acquired and used to cluster the samples by merging adjacent grids according to specified criteria. For every clustering related application, the parameters in this algorithm, such as the size of the grid, the threshold of density...
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