华南夏季风降水开始日的异常与前冬大气环流和海温的关系

利用1951～2004年NCEP/NCAR再分析资料及ERSST海温资料,研究了华南夏季风降水开始日期的变化特征及其与前期冬季大气环流和海温的关系。小波分析表明,夏季风降水开始日期具有明显的年际和年代际变化,年际变化以准2～3年变化为主,年代际变化周期约16年。华南夏季风降水开始偏早年在大气环流上的前兆信号表现为前期冬季乌拉尔山阻塞高压偏强、东亚大槽较深,阿留申低压偏强,冷空气活动偏强。冬季,鄂霍次克海附近的海温异常为华南夏季风降水开始迟早有物理意义的、稳定正相关前兆信号。合成分析表明,冬季鄂霍次克海附近SST正异常时,5月100 hPa青藏高压偏东偏北偏弱,异常偏西风控制华南;850 hPa环流在华南表现为东北风,华南受冷空气影响为主,华南夏季风降水开始日期偏晚。相反时,若冬季鄂霍次克海附近SST负异常,5月100 hPa青藏高压偏西偏南偏强,异常偏东风控制华南;850 hPa环流在华南表现为偏南风,华南受热带系统影响为主,华南夏季风降水开始日期偏早。并提出冬季中高纬度地区冷空气活动影响华南夏季风降水开始日异常的物理机制。     

武汉和京都参站超导重力仪高精度潮汐重力观测结果

利用高精度潮汐重力场观测研究地球物理不和地球动力学问题已成为当今地学工作者的共识。由于某些信号十分微弱且具有区域和全球分布特征,相当一部分信号被混合在常规仪器的观测噪声水平上,因此获得全球分布的第一手高精度观测资料显得尤为重要超导重力仪具有精度高,连续性和稳定性好等特征,期望能在测定区域和全球重力场的精细结构方面发挥重要作用。有１８个台站参加的全球地球动力学合作项目于１９９７年７月份开始实施,其主     

Robust Statistical Methods to Discriminate Extreme Events in Geoelectrical Precursory Signals: Implications with Earthquake Prediction

In this study, we propose a robuststatistical method to discern anomalous patternsin geoelectrical time series measured in a seismicarea of the Southern Apennine chain. First, a filteringprocedure to remove seasonal effects related tometeo-climatic fluctuations was carried out.Then, we selected an autoregressive model able todescribe the time fluctuations of geoelectricalsignals and propose a method to obtain an objectiveestimate of probability of occurrence for each extremeevent detected in the time series. Our applications inSouthern Italy allow us to hypothesize that theambiguity of short-term prediction is within thecomplicated dynamics of the physical processresponsible for electrical anomalies observed on theearth's surface.     

MLT-3信号的无冗余纠错研究

作者提出了一种适用于１００Ｍｂｐｓ高速双绞线局域网传输信号ＭＬＴ－３无冗余纠错方案。从理论上分析了该方案的纠错能力，并且由计算机模拟方法对该系统的误码率性能进行了检验。结果表明，该方案可纠正单个随机错码，在加性高斯白噪声环境下，可获得约２ｄＢ的系统增益而不需增加对传输带宽的要求。应用于１００Ｍｂｐｓ高速双绞线局域网，可提高传输可靠性，或者增加传输距离，或者降低发送电平以减少电磁辐射。     

南极夜间准TE_1模的试验研究

在南极长城站观测甚低频(VLF)波时发现,夜间奥米伽导航系统的B台在10.2kHz发射天线激励起准TE_1模,夜间沿西南方向远距离传播时准TE_1模成为优势模。并发现英国鲁格伯(Rugby)GBR台发射的16.0kHz信号在13660.7km距离上,在日出过渡期,模转换干涉有时会引起传播相位周期滑移。在这种情况下获得TM_1模转换成准TE_1模的转换系数不小于0.28。     

Study on the New Methods of Ship Object Detection Based on GNSS Reflection

This paper presents a study on the new methods of ship object detection based on GPS-R correlation power spectra. Both the principle and the algorithms for recognition are given in detail. The architecture of Doppler Delay Mapping Receiver (DDMR), signal-processing chain, and correlation power spectra discriminant of the reflected signals from the ship object are discussed. Real-time data collection campaigns were done near the sea at Sanya with the Doppler delay mapping receiver mounted on an airplane. Some preliminary experiment results show that the DDMR could work well and can be used in ship object detecting.     

Fractal approaches in investigating the time dynamics of self-potential hourly variability

Fractal tools have been used to investigate the time dynamics of hourly self-potential data, recorded during the year 2001 by five geoelectrical stations located in one of the most seismic areas of southern Italy. Scaling behaviour has been revealed by means of different statistics: the Lomb Periodogram method, the Detrended Fluctuation Analysis, the Higuchi analysis and the mean distance spanned within the time L. The values of the scaling exponents estimated by means of these methods indicate that the temporal fluctuations of the geoelectrical signals are not typical of purely random stochastic processes (i.e. white noise), but evidence the presence of long-range correlations. Furthermore, it is found that these correlations are linear.     

High-resolution (2–7 kHz) acoustic and geometric characters of submarine creep deposits in the South Korea Plateau, East Sea

A synthesis of high-resolution (Chirp, 2–7 kHz) seismic profiles in the South Korea Plateau reveals that large masses of wavy stratified sediment (≈60–90 m thick) cover broad, gently sloping (<0·5°) ridges in water depths of 1000–2000 m. The wavy stratified sediment (WSS) is characterized by wavy (0·2–5 km in wavelength and <15 m in relief), continuous reflective layers with a basal deformed zone that overlies undeformed, strong reflectors. The WSS exhibits systematic variation in wave dimensions and thickness of internal reflective layers with changes in slope gradient. The troughs of the waves are commonly associated with internal growth faults, and wave amplitude generally increases with subbottom depth. On steep slopes around the ridges, the WSS masses are bounded downslope by slide and slump deposits including slightly translated or rotated WSS blocks. The acoustic and geometric characters, and association with downslope slides and slumps on the steeper slopes, suggest that the WSS masses were most probably formed by slow creep movement before slope failure. In the absence of significant sediment input to the South Korea Plateau, the deep (1000–2000 m in water depth) mass movements were probably triggered by earthquakes that have occurred frequently in this region. Some slightly displaced, intact WSS blocks in the associated slides and slumps downslope reflect a progressive evolution from submarine creep into slide and slump.     

基于智能手机的室内定位技术的发展现状和挑战

室内定位是未来人工智能的核心技术之一,对即将到来的人工智能时代起着举足轻重的作用。开发有效的室内定位新技术是工业界和学术界的研究热点,如谷歌研发的室内视觉定位服务技术、苹果致力推动的基于低功耗蓝牙的iBeacon室内定位技术以及百度携手芬兰IndoorAtlas公司推出的基于磁场匹配的室内定位方案等。然而,受室内复杂环境以及空间布局、拓扑易变等影响,实现准确、可靠、实时的室内定位,满足各类定位需求仍有很大的挑战性。目前,随着智能手机的普及和微机电系统技术的发展,智能手机内置多种传感器和支持丰富的射频信号,可提供不同的定位源。本文从智能手机的内置传感器和射频信号两个方面,综述了现有基于智能手机的室内定位技术,指出各种定位技术的优缺点和应用场景,分析室内定位的发展现状和存在难点,对室内定位技术未来的发展方向进行了展望。