A Monte Carlo Evaluation of a Nonparametric Technique for Estimating the Hazard Function

This research is primarily concerned with the estimation of the Hazard functions, the Hazard function is the failure rate at time t, and is defined as -R \u27(t)/R(t), so it plays an important role in Reliability. In order to compare and evaluate the estimation methods, it is convenient to select one distribution in this research. Since the Weibull distribution is a useful distribution in Reliability, the Weibull distribution is used in this paper

First R and I Lights and Their Photometric Analyses of GSC 02393-00680

We obtained complete $R$ and $I$ light curves of GSC 02393-00680 in 2008 and analyzed them with the 2003 version of the W-D code. It is shown that GSC 02393-00680 is a W-type shallow contact binary system with a high mass ratio $q=1.600$ and a degree of contact factor $f=5.0$. It will be a good example to check up on the TRO theory. A period investigation based on all available data suggests that the system has a small-amplitude period oscillation ($A_3=0.^{d}0030$; $T_3=1.92$years). This may indicate it has a moderate mass close third body, which is similar to XY Leo

The Photometric Investigation of V921 Her using the Lunar-based Ultraviolet Telescope of Chang'e-3 mission

The light curve of V921 Her in ultraviolet band observed by the Lunar-based Ultraviolet Telescope (LUT) is analyzed by the Wilson-Devinney code. Our solutions conclude that V921 Her is an early type marginal contact binary system with an additional close-in component. The binary system is under poor thermal contact with a temperature difference of nearly $700K$ between the two components. The close-in component contributes about $19\,\%$ of the total luminosity in the triple system. Combining the radial velocity study together with our photometric solutions, the mass of the primary star and secondary one are calculated to be $M_1 = 1.784(\pm0.055)M_\odot$, $M_2 = 0.403(\pm0.012)M_\odot$. The evolutionary scenario of V921 Her is discussed. All times of light minimum of V921 Her available in the bibliography are taken into account and the $O - C$ curve is analyzed for the first time. The most probable fitting results are discussed in the paper, which also confirm the existence of a third component ($P_3=10.2$ year) around the binary system. The period of V921 Her is also undergoing a continuously rapid increase at a rate of $dP/dt=+2.79\times{10^{-7}}day\cdot year^{-1}$, which may due to mass transfer from the less massive component to the more massive one

An Efficient Application of Modified YOLOv5 in Basketball Player Detection and Analysis

Effective analysis helps players evaluate their performance, make necessary adjustments, and develop diverse game strategies. Moreover, the analysis provides viewers with different perspectives, enhancing their understanding of the game. This study aims to develop a basketball player detection and analysis system to assist in analyzing on-court situations. The system uses perspective transformation to obtain player tracking information on the top view image in basketball games. The system uses a modified you only look once (YOLO) v5 model that replaces the backbone of YOLOv5s with the MobileNetv3-small architecture for player detection. Compared to the original YOLOv5, the modified YOLOv5 reduces parameters from 7.02 × 106 to 3.5 × 106, a decrease of 49.8%. The number of frames obtainable per second increases from 12.4 to 17.5, an improvement of about 41.1%. Finally, the system performs perspective transformation and tracks the detected player positions onto the top-view court image using the YOLOv5 model

A Model for Understanding the Market Orientation Effects of CRM on the Organizational Process

To build an understanding of the impacts of Customer Relationship Management (CRM) on organizational behaviors and processes this study strives to develop a model of CRM effects on work practice, value-creation processes and organizational performance. Moderating factors that affect the transition results are also studied. The model is developed by iterative steps of content analysis. The objectives of building this model are: 1) to establish a framework with propositions about the chained effects of CRM on organizational performance and the influential management activities and 2) to develop a measurement instrument of the CRM effects on market-oriented behaviors and performance. Although the model testing and enhancement are in progress, the preliminary findings reveal that behavioral changes towards market-orientation can be reflected in two levels of work practice: coordinated intelligence management in the team work and proactive attitude with individuals. With such a market-oriented focus, CRM user organizations are more likely to develop positive market performance as well as process performance, and indirectly bring up financial performance

Exploring the effect of AR filter on perceived brand image: The mediating role of realistic experience

Following its extensive application in study on consumers\u27 retail experience, AR (augmented reality) technology has been increasingly applied in social media, notably the AR filter service, which has been embraced by quite a few brands as a novel marketing tool, taking advantage of its entertaining value and dissemination effect to boost brands\u27 perceived image among consumers. However, there have been fewer studies that examine the effectiveness of brand-developed AR filter services in enhancing consumer perceptions of brand image in the context of social media. To bridge the research gap, the study, based on the S-O-R model, looked into the effect of consumers\u27 cognition of AR-filter features on the realism of their experience and thus their perceived brand image. The study was carried out via a questionnaire survey of users of AR filters developed by brand-developed in social media, with its findings having both academic and practical implications for this field

Selection and Mid-infrared Spectroscopy of Ultraluminous Star-Forming Galaxies at z~2

Starting from a sample of 24 \micron\ sources in the Extended Groth Strip, we use 3.6 to 8 \micron\ color criteria to select ultraluminous infrared galaxies (ULIRGs) at $z\sim2$. Spectroscopy from 20-38 \micron\ of 14 objects verifies their nature and gives their redshifts. Multi-wavelength data for these objects imply stellar masses ${>}10^{11}$ \Msun\ and star formation rates $\ge$410 \Msun yr$^{-1}$. Four objects of this sample observed at 1.6 \micron\ (rest-frame visible) with {\it HST}/WFC3 show diverse morphologies, suggesting that multiple formation processes create ULIRGs. Four of the 14 objects show signs of active galactic nuclei, but the luminosity appears to be dominated by star formation in all cases.Comment: 33 pages, 13 figures, accepted by Ap

Quantum Stochastic Neural Network and Sentence Classification

Computers has been endowed with a part of human-like intelligence owing to the rapid development of the artificial intelligence technology represented by the neural networks. Facing the challenge to make machines more imaginative, we consider a quantum stochastic neural network (QSNN), and propose a learning algorithm to update the parameters governing the network evolution. The QSNN can be applied to a class of classification problems, we investigate its performance in sentence classification and find that the coherent part of the quantum evolution can accelerate training, and improve the accuracy of verses recognition which can be deemed as a quantum enhanced associative memory. In addition, the coherent QSNN is found more robust against both label noise and device noise so that it is a more adaptive option for practical implementation