In this paper, the compatibility of fingerprint images captured with mobile cameras (touch-less) with existing touch-based commercial fingerprint verification software VeriFinger SDK is investigated. The touch-less fi...
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In this paper, the compatibility of fingerprint images captured with mobile cameras (touch-less) with existing touch-based commercial fingerprint verification software VeriFinger SDK is investigated. The touch-less fingerprint images taken with mobile cameras are different with the fingerprint images captured from touch-based scanners. The research in this paper shows that the commercial fingerprint verification software VeriFinger SDK can load the photographed fingerprint images, and can extract minutiae from the photographed images. Furthermore, the minutiae matching of a sample against a reference have been successfully performed based on the photographed fingerprint images using VeriFinger SDK. This research result will make the mobile fingerprint verification more interoperable which has significant contribution to the security of m-commerce applications.
In order to solve nonlinear and unstable problem in measurement, a fiber-optic temperature sensing film probe was designed. The material of the sensing film probe is germanium. The sensing probe is a double-layered fi...
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In order to solve nonlinear and unstable problem in measurement, a fiber-optic temperature sensing film probe was designed. The material of the sensing film probe is germanium. The sensing probe is a double-layered film structure, in which the low refractive index material is silicon dioxide and the high refractive index material is germanium. The detection principle is based on the changes of refractive index of germanium because of the temperature change, resulting in changes in the reflectivity. Practically, we can get the temperature figures by measuring the reflected power. The line linearization of the sensor, which was obtained over a temperature measurement range of 30°C-130°C is 99.85%. The results show that the conclusion can meet the purpose of linearization of fiber temperature sensor.
Cluster expansion provides a powerful tool in materials modeling. It has enabled an efficient prediction of the atomic properties of materials with the combination of the modern quantum calculation theory. To construc...
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Cluster expansion provides a powerful tool in materials modeling. It has enabled an efficient prediction of the atomic properties of materials with the combination of the modern quantum calculation theory. To construct an accurate cluster expansion model, a few important cluster figures should be identified. This paper proposes a novel figure selection method based on memetic algorithm (MA), which is a synergy of genetic algorithm (GA) and orthogonal matching pursuit (OMP) based memetic operation. The memetic operation is designed to fine-tunes the solutions of GA and accelerate the convergence of the search. The performance of the proposed method is evaluated on two binary alloy datasets. Comparative study to other state-of-the-art figure selection methods demonstrates that the proposed method is capable of obtaining better or competitive prediction accuracy and searching the figure space efficiently.
The existing service migration methods bring the server cluster heavy burden, and their time spending is so high that seriously affects the service continuity. In order to enhance the survivability of IP network servi...
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The existing service migration methods bring the server cluster heavy burden, and their time spending is so high that seriously affects the service continuity. In order to enhance the survivability of IP network services, the paper puts forward an intent-perceptible service migration model (ISM). In this model, we design a novel trigger mechanism and object selecting method for service migration, and make the service migration intention perceptible for the client with the cooperation of the server. The evaluation results show that ISM model can not only ensure the service invulnerability by maintaining a high randomness of service migration, but also improve the service continuity by reducing the service gap time spending on service migration to the maximum extent. Therefore, ISM model can enhance IP network survivability efficiently.
We report spectral phase characterization, compression, and shaping of on-chip microresonator combs. Both ~5nm and ~1nm free spectral range devices are explored.
We report spectral phase characterization, compression, and shaping of on-chip microresonator combs. Both ~5nm and ~1nm free spectral range devices are explored.
A symmetric structure of surface plasmon resonance excited by planar waveguide is studied. The structure is the metal layer covering both sides of the media with a certain thickness. The theoretical analysis shows tha...
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A symmetric structure of surface plasmon resonance excited by planar waveguide is studied. The structure is the metal layer covering both sides of the media with a certain thickness. The theoretical analysis shows that the TM0 mode of that structure is surface wave and the relationship between the equivalent refractive index and the interval of metal films is studied under a certain wavelength. Ion-exchange technology is used to prepare the multi-mode planar waveguide. The planar waveguide is used to excite the plasmon surface wave of the symmetric structure and its equivalent refractive index is tested. Plasma surface wave is excited when the concentration of glycerin solution is 0-70% and the thickness is 300 nm and 500 nm respectively. Results show that the refractive index matching of this structure can be adjusted by changing the thickness of media. The problem that the equivalent refractive index of ion-exchange planar waveguide is large and it is difficult to excite the plasmon surface wave between the metal and the media to achieve sensing is solved.
作者:
解晓鹏庄伟陈景标Institute of Quantum Electronics
and State Key Laboratory of Advanced Optical Communication System & Network School of Electronics Engineering & Computer Science Peking University Beijing 100871
We propose a new application of the optical adiabatic passage effect for the excitation of a thermal atomic beam, which will be used in the calcium active optical clock to produce population inversion. A comparison be...
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We propose a new application of the optical adiabatic passage effect for the excitation of a thermal atomic beam, which will be used in the calcium active optical clock to produce population inversion. A comparison between the optical adiabatic passage effect and the Rabi π pulse is investigated, 99% of the calcium atoms in the atomic beam that has a wide velocity distribution will be excited to the upper state for population inversion using the adiabatic passage, while 76% at most will be excited to the excited state using the π pulse with suitable parameters.
In a Wireless Sensor Networks (WSN), there are normally one or several sensor nodes working as Access Points (AP), which are able to provide a relay for other sensors to an external Internet connection. Since WSNs are...
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In a Wireless Sensor Networks (WSN), there are normally one or several sensor nodes working as Access Points (AP), which are able to provide a relay for other sensors to an external Internet connection. Since WSNs are resource constrained, the selection of APs is very crucial in economizing power usage. In this paper, we study the optimal selection of APs to maximize the WSN lifetime. This issue is closely related to routing protocols in WSN. We propose a new adaptive multi-path routing protocol to reduce the energy consumption and guarantee QoS requirements with respect to transmission delay. In this paper, we formulate the issues we mentioned above as a non-linear NP-hard optimization problem. Due to the high computation complexity of this problem, we proposed two polynomial-time approximation algorithms to optimally select APs in the WSN that based on the framework in. Combining with our new adaptive multi-path routing protocol, our preliminary simulation results show that our schemes can save more than 20% energy compared with the existing APs selection schemes with single path routing protocols.
From field-scale measurements to global climate simulations and remote sensing, the growing body of very large and long time series Earth science data are increasingly difficult to analyze, visualize, and interpret. D...
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From field-scale measurements to global climate simulations and remote sensing, the growing body of very large and long time series Earth science data are increasingly difficult to analyze, visualize, and interpret. Data mining, information theoretic, and machine learning techniques—such as cluster analysis, singular value decomposition, block entropy, Fourier and wavelet analysis, phase-space reconstruction, and artificial neural networks—are being applied to problems of segmentation, feature extraction, change detection, model-data comparison, and model validation. The size and complexity of Earth science data exceed the limits of most analysis tools and the capacities of desktop computers. New scalable analysis and visualization tools, running on parallel cluster computers and supercomputers, are required to analyze data of this magnitude. This workshop will demonstrate how data mining techniques are applied in the Earth sciences and describe innovative computerscience methods that support analysis and discovery in the Earth sciences.
作者:
李犇陈景标Institute of Quantum Electronics
and State Key Laboratory of Advanced Optical Communication System ~z Network School of Electronics Engineering & Computer Science Peking University Beijing 100871
The quantum phase transition from the Mott insulator to the superfluid phases of the bosonic atoms trapped in an optical lattice, in which the on-site interaction carl be tuned by a Feshbach resonance, is investigated...
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The quantum phase transition from the Mott insulator to the superfluid phases of the bosonic atoms trapped in an optical lattice, in which the on-site interaction carl be tuned by a Feshbach resonance, is investigated by a variational approach within mean-field theory. We derive an extended Bos^Hubbard model to describe this ultracold atomic system. By theoretical calculation and analysis, the phase diagram is shown clearly, and we find an exciting and novel phenomenon that is the appearance of the Mort insulator-sea (MI-sea). Meanwhile, the experimental feasibility of observing the MI-sea is discussed by analyzing the published data related to the Fashbaeh resonance at present. Finally, the potential application of the MI-sea for quantum information processing and quantum computation is also discussed in detail
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