Fabrication of a microresonator-fiber assembly maintaining a high-quality factor by CO2 laser welding

We demonstrate fabrication of a microtoroid resonator of a high-quality (high-Q) factor using femtosecond laser three-dimensional (3D) micromachining. A fiber taper is reliably assembled to the microtoroid using CO2 laser welding. Specifically, we achieve a high Q-factor of 2.12*10^6 in the microresonator-fiber assembly by optimizing the contact position between the fiber taper and the microtoroid.Comment: 7 pages, 5 figure

The Specificity of Human Capital and Risk Management of the College Counselor from the Perspective of Internationalization

Shifting the concept of human resource to the concept of human capital is an inevitable tendency in developing human resource of college counselor. It is because the college counselor has its own specificity that it is hardly possible to avoid the risks of entry and exit which brings in completely. The paper listed the priority of psychological capital, human capital and social capital of the college counselor from the perspective of in-system in the order to attempt to discuss their inner logical relationship based on the basic theory of risk management. Key words: College counsellor; The specificity of human capital; Risk management; In-system Résumé: Déplacer le concept de ressources humaines pour le concept de capital humain est une tendance inévitable dans le développement des ressources humaines de conseiller du collège. C'est parce que le conseiller collège a sa propre spécificité qu'il n'est guère possible d'éviter les risques d'entrée et de sortie qui amène à fond. Le document énumère les priorités du capital psychologique, le capital humain et le capital social de la conseillère collège dans la perspective d'en-système dans l'ordre pour tenter de discuter de leur relation logique interne basé sur la théorie de base de gestion des risques. Mots clés: Université de conseiller; La spécificité du capital humain; La gestion des risques; Et du systèm

A New Multiple Hypothesis Tracker Using Validation Gate with Motion Direction Constraint.

In multi-target tracking scenarios with dense and heterogeneous clutter, there is a substantial increase in the false measurements that originated from the clutter within the validation gate, and consequently, the number of measurement-to-track association hypothesis grows rapidly in traditional multiple hypothesis tracker (MHT), leading to a sharp decrease in data association accuracy and tracking performance. A new multiple hypothesis tracker using validation gate with motion direction constraint (MHT-MDC) is proposed to solve these problems. In the MHT-MDC, a motion direction constraint (MDC) gate is designed by considering the prior target maneuvering information, which effectively reduces the volume of validation gate and, thus, diminishes the number of false measurements in the gate when the innovation covariance is large. Subsequently, the clutter density in the MDC gate is adaptively estimated by the conditional mean estimator of clutter density (CMECD), based on which the score functions in the MDC gate can be calculated. The MHT-MDC is compared with the MHT algorithm in simulations, and the experimental results demonstrate its superior tracking performance for weakly maneuvering targets in high clutter density scenarios

A pair of highly biotolerated diamagnetic and paramagnetic iron(II) complexes displaying electroneutrality

International audienceA pair of structurally analogous macrocyclic iron(II) complexes witha magnetic off-on relationship is reported that exhibit electroneutrality at neutral pH and high stability in physiological media. This has been achieved by external charge compensation using nicotinate pendent arms. No contact toxicity was observed for cells up to 4 mM for the low-spin and 2 mM for the high-spin complex. These results are a necessary precursor to the future design of turn-on probes with elevated biotolerance

The block mutual coherence property condition for signal recovery

Compressed sensing shows that a sparse signal can stably be recovered from incomplete linear measurements. But, in practical applications, some signals have additional structure, where the nonzero elements arise in some blocks. We call such signals as block-sparse signals. In this paper, the $\ell_2/\ell_1-\alpha\ell_2$ minimization method for the stable recovery of block-sparse signals is investigated. Sufficient conditions based on block mutual coherence property and associating upper bound estimations of error are established to ensure that block-sparse signals can be stably recovered in the presence of noise via the $\ell_2/\ell_1-\alpha\ell_2$ minimization method. For all we know, it is the first block mutual coherence property condition of stably reconstructing block-sparse signals by the $\ell_2/\ell_1-\alpha\ell_2$ minimization method. Additionally, the numerical experiments implemented verify the performance of the $\ell_2/\ell_1-\alpha\ell_2$ minimization.Comment: 14 pages, 8 figure

A New Multiple Hypothesis Tracker Integrated with Detection Processing.

In extant radar signal processing systems, detection and tracking are carried out independently, and detected measurements are utilized as inputs to the tracking procedure. Therefore, the tracking performance is highly associated with detection accuracy, and this performance may severely degrade when detections include a mass of false alarms and missed-targets errors, especially in dense clutter or closely-spaced trajectories scenarios. To deal with this issue, this paper proposes a novel method for integrating the multiple hypothesis tracker with detection processing. Specifically, the detector acquires an adaptive detection threshold from the output of the multiple hypothesis tracker algorithm, and then the obtained detection threshold is employed to compute the score function and sequential probability ratio test threshold for the data association and track estimation tasks. A comparative analysis of three tracking algorithms in a clutter dense scenario, including the proposed method, the multiple hypothesis tracker, and the global nearest neighbor algorithm, is conducted. Simulation results demonstrate that the proposed multiple hypothesis tracker integrated with detection processing method outperforms both the standard multiple hypothesis tracker algorithm and the global nearest neighbor algorithm in terms of tracking accuracy