ID 原文 译文
15095 随着各国军事力量的不断增强,武器的现代化与智能化要求越来越迫切,故以计算机技术等为代表的高新技术在军事领域的应用不断深入,其中图像处理技术也成为各国军事研究的热门话题之一。 With the continuous enhancement of military forces in various countries, the requirements for the modernization and intelligence of weapons are becoming more and more urgent. Therefore, the application of high-tech represented by computer technology in the military field is deepening, and image processing technology has become one of the hot topics of military research in various countries.
15096 首先阐述了图像处理技术的概念,其次介绍了热门研究课题——目标识别的基本原理以及以此为基础的红外跟踪技术发展现状,最后整理了目标识别与跟踪技术在军事领域的具体应用与面临的挑战,并对未来发展形势做出了展望,为目标识别与跟踪技术在军事领域中的创新突破和工程研究提供参考方向。 This paper firstly describes the concept of image processing technology, then introduces the basic principle of target recognition, which is a popular research topic, and the development status of infrared tracking technology based on it. Finally, the specific application and challenges of target recognition and tracking technology in military field is sorted out, and the future development situation is prospected, which provides reference for the innovation and breakthrough of target recognition and tracking technology in the military field and engineering research.
15097 随着现代超大规模集成电路的电源网络变得十分复杂,在片上对其各电源域电压噪声功率谱的测量变得越来越有意义。 As the complexity of power delivery network in modern VLSI, the on-chip measurement of the noise power spectrum of each power domain becomes more meaningful.
15098 片上电源电压噪声测量电路的设计难点主要是在面积和功耗开销较小的情况下,可以较高精度地测量频率范围很宽的电源噪声信号。介绍了基于自相关方法测量电源电压噪声功率谱的原理,并总结了目前用于电源电压噪声功率谱测量的主要电路技术,讨论了相关结构和技术的优缺点,为超大规模集成电路的设计研发人员提供了有益参考。 The difficulty of the on-chip power supply noise measurement is mainly to measure the noise in a very wide frequency range with high accuracy under the condition of small area and power consumption overhead.This paper introduces the principle of measuring the power supply noise spectrum based on the autocorrelation, and summarizes the main circuit techniques currently used for power supply noise measurement, and discusses the advantages and disadvantages of related structures, which provides a useful reference for VLSI designers.
15099 基于上交所主板市场A股企业的财务指标数据来预测企业的财务风险,样本数据包括1 227家正常上市企业和42家被财务预警的企业,数据严重不平衡,通过重采样技术解决了分类器在不平衡样本中失效的问题,运用Bagging思想的集成机器学习对预测模型进行提升与优化。 This paper forecast the financial risk of enterprises based on the financial index data of A-share enterprises in the main board market of Shanghai Stock Exchange. The samples included 1227 normal listed enterprises and 42 enterprises which have been financial warning. The data was seriously unbalanced. The problem of classifier failure in unbalanced samples was solved by resam-pling technology in some certain. The integrated machine learning based on Bagging was used to improve and optimize the prediction model.
15100 正确挑选出有财务危机企业的概率最高达到92.86%,在此基础上,样本的整体准确率在经过模型的集成之后提高了5.4%。 The highest probability of correctly selecting enterprises with financial warning was 92. 86 %. On this basis, the overall accu-racy of the sample was improved by 5. 4 % after the integration of the model.
15101 集成模型提高了对上市企业的财务预警能力,能为企业的正常经营和投资者的安全投资提供一定的借鉴。 The integrated model improved the financial early warning ability of listed enterprises which could provide some reference for the normal operation of enterprises and the safety invest-ment of investors.
15102 为了满足人们对更好解锁方式的需求,提出了一种基于语音指令的电子门锁解锁方法及系统。 A method and system of electronic door lock unlocking based on voice command is proposed in order to meet people ′ s demand for better unlocking mode.
15103 该方法的设计理念是:利用手机号码的唯一性识别用户身份;利用语音识别技术,实现利用不同的语音指令打开不同门锁。 The design idea of this method is using the uniqueness of mobile phone number to identify the user ′ s identity, using voice recognition technology to realize the use of different voice instructions to open different door locks.
15104 该系统由电子门锁、手机和互联网服务器组成。 The system consists of electronic door lock, mobile phone and Internet server. The method and system are designed and explained in detail.