Vehicle trajectory modelling with consideration of distant neighbouring dependencies for destination prediction

Vehicle trajectory modelling is an essential foundation for urban intelligent services. In this paper, a novel method, Distant Neighbouring Dependencies (DND) model, has been proposed to transform vehicle trajectories into fixed-length vectors which are then applied to predict the final destination. This paper defines the problem of neighbouring and distant dependencies for the first time, and then puts forward a way to learn and memorize these two kinds of dependencies. Next, a destination prediction model is given based on the DND model. Finally, the proposed method is tested on real taxi trajectory datasets. Results show that our method can capture neighbouring and distant dependencies, and achieves a mean error of 1.08 km, which outperforms other existing models in destination prediction significantly.     

Estimating spatial pattern of hyporheic water exchange in slack water pool

Journal of Geographical Sciences - Hyporheic zone (HZ) influences hydraulic and biogeochemical processes in and alongside streams, therefore, investigating the controlling geographic factors is...     

罗斯海西部末次冰盛期以来沉积环境重建:有机碳与生物标志化合物分析

本文研究采自位于南极罗斯海西部的ANT32-RB16C柱状沉积物,根据粒度、有机碳和生物标志化合物数据探讨末次冰盛期(24.8 ～20 ka BP)以来该地区有机质来源及沉积环境特征。该柱状样记录了冰架下沉积、冰架前沉积、开阔海域沉积的沉积环境。指示有机质来源的生物标志化合物指标表明该柱状样中所含有机质主要为浮游植物、细菌等海源输入,同时伴有少量陆源物质混合输入。末次冰盛期,由于冰架的影响有机质含量较低,环流影响使得有机质受低等浮游藻类生物等海源影响较大。末次冰消期(20～11.7 ka BP),罗斯冰架消退,冰川溶解释放的有机质在此沉积,使得陆源有机质输入增多,有机质含量升高。进入全新世,有机质含量较末次冰盛期和末次冰消期明显升高,海源输入比例增大,同时细菌等原核生物增多,导致短链正构烷烃降解程度较大。研究区的氧化还原环境主要受冰架与海冰限制作用的影响,与有机质含量和高氧的南极底层水关系不大。总体来说,从末次冰盛期到末次冰消期,研究区沉积环境受罗斯冰架进退影响,全新世以来受气候变化影响。     

南桑威奇俯冲带大地水准面异常及其地幔对流特征分析

以南桑威奇俯冲带为例,根据EGM2008超高阶地球重力场模型、卫星重力数据为基础,利用移去-恢复原理计算了研究区大地水准面,实现了研究区不同场源深度大地水准面异常信息的分离,根据Runcorn模型计算了研究区小尺度地幔对流应力场,并结合天然地震空间展布和前人研究成果,对俯冲带结构特征与地幔对流模式进行了探讨。结果表明:南桑威奇俯冲带具有俯冲倾角较大、地震震级较低、弧前侵蚀明显等典型的马里亚纳型俯冲带特征,俯冲带南北部俯冲深度存在明显差异,中段偏北俯冲深度可达500 km;受到软流圈与上地幔上部物质密度差异的控制,东斯科舍海脊下存在沿海脊轴向南流动强地幔流;俯冲带结构与小尺度地幔对流应力场具有很强的相关性。本研究对于搞清南桑威奇俯冲带深部构造特征,理解俯冲运动、地幔对流方向及其动力控制机制提供了新的研究思路和方法。     

A deep learning approach for detecting candidates of supernova remnants

Detecting supernova remnant(SNR) candidates in the interstellar medium is a challenging task because SNRs have weak radio signals and irregular shapes. The use of a convolutional neural network is a deep learning method that can help us extract various features from images. To extract SNRs from astronomical images and estimate the positions of SNR candidates, we design the SNR-Net model composed of a training component and a detection component. In addition, transfer learning is used to initialize the network parameters, which improves the speed and accuracy of network training. We apply a T-T plot(of the different brightness temperatures of map pixels at two different frequencies) to calculate the spectral index of SNR candidates. To accelerate the scientific computing process, we take advantage of innovative hardware architecture, such as deep learning optimized graphics processing units, which increases the speed of computation by a factor of 5. A case study suggests that SNR-Net may be applicable to detecting extended sources in the images automatically.     

An adaptive loop gain selection for CLEAN deconvolution algorithm

Radio interferometry significantly improves the resolution of observed images, and the final result also relies heavily on data recovery. The Cotton-Schwab CLEAN(CS-Clean) deconvolution approach is a widely used reconstruction algorithm in the field of radio synthesis imaging. However, parameter tuning for this algorithm has always been a difficult task. Here, its performance is improved by considering some internal characteristics of the data. From a mathematical point of view, a peak signal-to-noise-based(PSNRbased) method was introduced to optimize the step length of the steepest descent method in the recovery process. We also found that the loop gain curve in the new algorithm is a good indicator of parameter tuning.Tests show that the new algorithm can effectively solve the problem of oscillation for a large fixed loop gain and provides a more robust recovery.     

水域地震映像在火成岩发育区的应用与探讨——以厦门某海底隧道勘察为靶区

以厦门某海底隧道勘察为靶区,采用电磁气泡震源系统激发地震波,在火成岩发育区进行水域地震映像实验,较好地查明了海底水深界面、淤泥（砂层）和基岩面的分界线。实验结果表明,水域地震映像法对海域火成岩发育区是一种有效的物探方法,可以为海域地质勘察提供可靠的地质参考依据;利用水域地震映像勘探既可以较好地弥补钻探缺陷,又能极大地节约经济成本。     

天津南港工业区海区表层沉积物粒度特征及沉积环境分析

通过对南港工业区毗邻海域采集的40个表层沉积物样品做粒度分析,结果表明:研究区大部分采样点沉积物为粘土质粉砂,仅有少数3个采样点为粉砂,1个采样点为砂质粉砂.又根据沉积物粒度参数特征,将研究区划分为3组沉积环境:I组沉积物平均粒径相对较大,沉积物砂含量较高,水动力为中低能,根据沉积物粒径和海域位置又分为受河流影响较强沿岸流影响较弱的沉积环境(I-1组)和受河流影响较小潮流影响较大的沉积环境(I-2组); II组为受较强河流水动力和潮流水动力双重影响的潮下带沉积环境; III组沉积物整体上颗粒较粗,水动力环境较为稳定,为受季节性湾内环流影响的沉积环境.另外,研究区西南岸潮间带向东北部,沉积物粒径变细,原因是西南岸河流将粗颗粒物质携带至潮间带,在河流和沿岸流共同作用下向北运行,受到南港工业区阻挡,粗粒沉积物沉积,细颗粒物质随水流反弹向南回流后,又在向北移动的环流作用下向东北方向移动,造成该海域沉积物偏细.     

Gravitational Waves and Gravitational-wave Sourcestwo

The recent discovery of gravitational-wave burst GW150914 marks the coming of a new era of gravitational-wave astronomy, which provides a new window to study the physics of strong gravitational field, extremely massive stars, extremely high energy processes, and extremely early universe. In this article, we introduce the basic characters of gravitational waves in the Einstein's general relativity, their observational effects and main generation mechanisms, including the rotation of neutron stars, evolution of binary systems, and spontaneous generation in the inflation universe. Different sources produce the gravitational waves at quite different frequencies, which can be detected by different methods. In the lowest frequency range (f < 10^?15 Hz), the detection is mainly dependent of the observation of B-mode polarization of cosmic microwave background radiation. In the middle frequency range (10^?9 < f < 10^?6 Hz), the gravitational waves are detected by analyzing the timing residuals of millisecond pulsars. And in the high frequency range (10 ? 4 < f < 10⁴ Hz), they can be detected by the space-based and ground-based laser interferometers. In particular, we focus on the main features, detection methods, detection status, and the future prospects for several important sources, including the continuous sources (e.g., the spinning neutron stars, and stable binary systems), the burst sources (e.g., the supernovae, and the merge of binary system), and the stochastic backgrounds generated by the astrophysical and cosmological process. In addition, we forecast the potential breakthroughs in gravitational-wave astronomy in the near future, and the Chinese projects which might involve in these discoveries.     

A magnetically driven origin for the low luminosity GRB 170817A associated with GW170817

The gamma-ray burst GR170817 A associated with GW170817 is subluminous and subenergetic compared with other typical short gamma-ray bursts. It may be due to a relativistic jet viewed off-axis, or a structured jet or cocoon emission. Giant flares from magnetars may possibly be ruled out.However, the luminosity and energetics of GRB 170817 A are coincident with those of magnetar giant flares. After the coalescence of a binary neutron star, a hypermassive neutron star may be formed. The hypermassive neutron star may have a magnetar-strength magnetic field. During the collapse of this hypermassive neutron star, magnetic field energy will also be released. This giant-flare-like event may explain the luminosity and energetics of GRB 170817 A. Bursts with similar luminosity and energetics are expected in future neutron star-neutron star or neutron star-black hole mergers.