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We report the observation of the torsional vibration of an optically levitated nanodiamond in vacuum. We propose a scheme to achieve torsional ground state cooling, and utilize the electron spin-torsional coupling to do quantum simulation.
We report an ultra-low threshold phonon laser using coupled microtoroid cavities in vacuum with a novel coupling method. The measured lasing threshold is as low as 1.3 µW.
Cable accessories made of ethylene-propylene-diene terpolymer (EPDM) are considered to be the weakest part of HVDC cable system due to the existence of the interface between cable insulation and itself. The charges are likely to accumulate at the interface between insulation materials with different conductivity and permittivity, which may induce the occurrence of partial discharge and breakdown....
In order to realize assembly process planning in virtual reality environment, an assembly process planning generation method based on real-virtual mapping of basic motion sequence is proposed. Based on the analysis of current assembly process content from enterprise, assembly process information is modeled; standard assembly operations and basic assembly motion are defined. The mapping matrix among...
This paper analyzes the problem of reactive power optimization (RPO) in regional power system thoroughly. Successively, we further discuss the problem caused by the mismatch of the configuration of reactive power compensation and the demand of the system. Eventually an extreme optimal power flow method (EOPF) is proposed to verify the validity of the existing reactive power compensation. By relaxing...
Traditional quantum error-correcting codes are designed for the depolarizing channel modeled by generalized Pauli errors occurring with equal probability. Amplitude damping channels, in general, model the decay process of a multilevel atom or energy dissipation of a bosonic system at zero temperature. We discuss quantum error-correcting codes adapted to amplitude damping channels for higher dimensional...
We present a new approach to localize extensive facial landmarks with a coarse-to-fine convolutional network cascade. Deep convolutional neural networks (DCNN) have been successfully utilized in facial landmark localization for two-fold advantages: 1) geometric constraints among facial points are implicitly utilized, 2) huge amount of training data can be leveraged. However, in the task of extensive...
Strong ambient illumination severely degrades the performance of structured light based techniques. This is especially true in outdoor scenarios, where the structured light sources have to compete with sunlight, whose power is often 2-5 orders of magnitude larger than the projected light. In this paper, we propose the concept of light concentration to overcome strong ambient illumination. Our key...
This thesis first of all analyses the concept and characteristics of reverse logistics systematically, and explores the universal model of reverse logistics as well. Secondly, the writer elaborates the significance of the location of processing center of reverse logistics to the entire logistics activities. Then, on the analysis of the elements which influence the location of processing center of...
Purpose: The purpose of this study was to study the extract of Rumex root which had an inhibitory action on the cell proliferation of human leukemia cell line THP-1. Methods: The combination of percolation and extraction was used to separate and extract the main chemical compositions of Rumex, MIT was used to assay the curve of inhibition ratio. Results: The petroleum ether and acetone extracted from...
Handling intra-personal variation is a major challenge in face recognition. It is difficult how to appropriately measure the similarity between human faces under significantly different settings (e.g., pose, illumination, and expression). In this paper, we propose a new model, called “Associate-Predict” (AP) model, to address this issue. The associate-predict model is built on an extra generic identity...
We present a novel approach to address the representation issue and the matching issue in face recognition (verification). Firstly, our approach encodes the micro-structures of the face by a new learning-based encoding method. Unlike many previous manually designed encoding methods (e.g., LBP or SIFT), we use unsupervised learning techniques to learn an encoder from the training examples, which can...
It is very important to keep power system stable when carry through reactive power optimization. A multi-objective reactive power optimization model based on ??-domination algorithm is presented. It calculates voltage stability and load power margin by L indicator and primal-dual interior point nonlinear programming respectively, which can assess voltage stability quickly and completely and provide...
In this paper, the authors introduce Dini derivative operator in the sense of set-values, establish the relations between set-valued vector quasi-variational inequality and set-valued vector optimization problems, and prove the existence of a weak minimum for a class of constrained set-valued vector optimization problem by making use of quasi-variational inequality and extending pseudo D-invex functions.
With the 2814 data sampled from Shanghai stock exchange between 2004 and 2005 from 201 non-financial business enterprises, we categorize these samples from the point of corporate governance model, adopt linear multiple regression analysis method to study the relationship of finance structure and investment scale of Chinese listed companies on two different conditions, one condition is ldquoshareholder...
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