1,174 research outputs found

    Razumikhin and Krasovskii stability of impulsive stochastic delay systems via uniformly stable function method

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    This paper generalizes Razumikhin-type theorem and Krasovskii stability theorem of impulsive stochastic delay systems. By proposing uniformly stable function (USF) in the form of impulse as a new tool, some properties about USF and some novel pth moment decay theorems are derived. Based on these new theorems, the stability theorems of impulsive stochastic linear delay system are acquired via the Razumikhin method and the Krasovskii method. The obtained results enhance the elasticity of the impulsive gain by comparing the previous results. Finally, numerical examples are given to demonstrate the effectiveness of theoretical results

    Hybrid Beamforming With Deep Learning For Large-Scale Antenna Arrays

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    The emergence of highly directional beamforming technology makes millimeter wave frequency band communication possible in future wireless communication networks. Based on the multipath characteristics of millimeter wave frequency communication, a high-precision multipath channel estimation algorithm based on signal subspace is proposed. In the mobile terminal, an iterative heuristic radiofrequency combination algorithm based on spatial points is proposed. The analog precoding at the base station uses deep learning to accelerate the calculation, and then the multi-user communication is modeled to design the digital precoding. The simulation results show that the multi-channel estimation algorithm can estimate 4 paths with an error of no more than 0.3 rad. The proposed DL algorithm takes only 20% of the time when it is close to the 87% spectral efficiency of the traditional algorithm

    A FARM-TO-DOOR DELIVERY MODE FOR ORGANIC VEGETABLES UNDER MOBILE COMMERCE IN METROPOLISES OF CHINA

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    This paper presents a farm-to-door delivery mode for organic vegetables, which connects farmers and customers directly, under the circumstance of mobile commerce (M-commerce). In recent years, the need of organic vegetables is growing constantly in China. Meanwhile, the farm-to-door delivery mode widely spread in metropolises as people there barely have time to go to food markets on weekdays. However, the terrible traffic condition makes it impossible to conduct the delivery in day time. So vegetables have to be delivered very early in the morning (usually 3:00-7:00 A.M.), which makes the owner unable to attend delivery. And in the traditional delivery mode, the absence of delivery may lead to the package missing in China. Aiming at solving these practical issues in China, an SMS-based interaction system is integrated in the delivery mode for informing, endorsing, confirming, tracing and complaining. Intelligent cupboards are used as a buffer to realize the asynchronously endorsement. This is a new business mode that extends the frontiers of the M-commerce. It can greatly reduce the intermediate links of vegetable distribution and simplify the food purchasing in people’s daily life. This application of mobile technology would have a huge potential in market

    Prognostic Value of Adrenomedullin and Natriuretic Peptides in Uroseptic Patients Induced by Ureteroscopy

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    The aim of this paper is to investigate whether urosepsis is related to irrigation pressure of ureteroscopy (URS) and evaluate the prognostic value of adrenomedullin (ADM) and atrial and brain natriuretic peptides (ANP and BNP) in URS-induced uroseptic patients. From July 2008 to October 2013, we enrolled 332 patients with untreated unilateral ureteral obstruction (UUO). The UUO group included three subgroups of, respectively, 118, 132, and 82 patients who underwent URS under intermittent stable irrigation pressure of, respectively, 80, 120, and 160 mmHg. The plasma concentrations of ADM, ANP, and BNP were measured in all subjects. URS was performed for all UUO patients; the values of the three peptides were measured again after URS. Irrigation pressure and stone size were independent risk factors of urosepsis. After URS, the plasma concentrations of ADM, ANP, and BNP were significantly higher in uroseptic patients. Moreover, the concentrations were significantly higher depending on the disease severity. Plasma concentrations of the three peptides were correlated with plasma ET concentration in the uroseptic patients. The areas under receiver operating characteristic (ROC) curve of ADM, ANP, and BNP for predicting urosepsis were 0.811, 0.728, and 0.764, respectively. In conclusion, ADM, along with ANP and BNP, is valuable for prognosis in urosepsis secondary to URS which is associated with irrigation pressure
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