Remote Steering of Self‐Propelling Microcircuits by Modulated Electric Field

The principles and design of “active” self‐propelling particles that can convert energy, move directionally on their own, and perform a certain function is an emerging multidisciplinary research field, with high potential for future technologies. A simple and effective technique is presented for on‐demand steering of self‐propelling microdiodes that move electroosmotically on water surface, while supplied with energy by an external alternating (AC) field. It is demonstrated how one can control remotely the direction of diode locomotion by electronically modifying the applied AC signal. The swimming diodes change their direction of motion when a wave asymmetry (equivalent to a DC offset) is introduced into the signal. The data analysis shows that the ability to control and reverse the direction of motion is a result of the electrostatic torque between the asymmetrically polarized diodes and the ionic charges redistributed in the vessel. This novel principle of electrical signal‐coded steering of active functional devices, such as diodes and microcircuits, can find applications in motile sensors, MEMs, and microrobotics.     

Road Extraction from High Resolution Remote Sensing Image based on Shape Analysis with Gestalt Theory

Simulating the psychological experience of human vision，a road extraction model based on the format tower is proposed to extract the road in the high resolution remote sensing image from the perspective of morphology.Firstly，based on the spectral and texture information，the suspected road targets are extracted by using segmentation technology.Then these targets are classified according to their reliability and extract the road targets for each category.Finally，three types of identified road information are verified and merged，and the continuous smooth road extraction results are obtained.Experiments on real high resolution images show that the results are consistent with the visual perception of the human eye，and the overall classification accuracy is higher，indicating that the algorithm is effective and feasible and has good use value.     

加油站油品防盗的措施

为防止加油站油品被盗，应采取加强夜间值班管理、加强油品的计量管理和加强安全管理的高科技建设三项措施。     

小波变换在光谱特征提取方面的应用

人们在处理高光谱图像时一般要对一些典型地物进行光谱分析、特征波段的提取,以便提取出最大量的有效信息,剔除无用或冗余的信息,然后再进行分类识别.采用小波变换的分析方法,选用合适的小波进行分解,根据分解后的高频分量中包含的重要信息,利用局部相邻的正负极值点找出对应于原始光谱曲线上每个吸收带的左右边界;利用局部过零点,即可比较精确的提取出各个吸收带的中心波长.该方法比传统的光谱特征提取方法更简洁、有效,实验证明为一种比较理想的光谱特征提取方法.     

加油站油品损耗的管理问题分析及解决办法

针对加油站在油品进、销、存方面因管理和人为作弊而产生的损耗大问题，提出了解决办法：各环节交接手续要严密完备；发货方实施保量运输，选择信誉好的承运方；在销售、储存方面应加强管理，推行加油站计量员、账务员集中管理，主要账表电子表格化，及时上报主管部门，执行责任追究制并与效益工资挂钩。     

地壳应力场和密度场资料在油气检测中的应用

依据卫星轨道摄动测量结果反演的地壳区域构造应力场和密度场资料，可圈定油气区域构造圈闭和储集油气的低密度层。计算绘制了闽江口扇形洲区域构造应力场和密度卫星遥感图，图上显示出东海近海闽浙中拗陷含油气带与温东丽水油气构造带相接，敖江口官岭与闽江口川石储岛沥青苗等迹象都在此范围内，在闽江口扇形洲东部沿海沙泥沉积区，邻区东海宽长带深厚海沙软泥沉积区及本区北部罗源湾，用大地电磁CSAMT检测到1000－3000m深度范围内的低阻率地层，与本区卫星遥感图图低密度场相符。     

计算机远程控制系统的设计与实现

介绍了一个计算机远程控制系统的设计与实现，该系统采用客户机／服务器模式，实现远程屏幕的实时传输，采用LZW压缩算法对图像进行压缩传输，在接受方进行解码并且实现了远程文件创建和删除、显示被控制端的主机信息、发送实时消息等功能。采用鼠标，键盘的模拟方式对计算机进行实时控制。     

加油站油品用体积交接存在的问题及建议

叙述了目前加油站在实行按任意温度下的体积交接，由于未考虑油品体积随温度、压力、密度的变化，出现了零售损耗很大的问题。建议加油站在现阶段采用“准标准体积”交接；在由体积转换为质量计算加油站损溢时，使用油库当月发出的平均密度；当财会核销损溢时，不使用盘存的体积和固定密度进行计算的方法，而使用实际盘点的质量数，以真实反映加油站的当期损溢。     

Mapping Turbidity, Surface Temperature and Water Circulation Patterns with the Aid of Satellite Imagery

Water turbidity, surface temperature and circulation of Barton and Wroxham Broads, two of the Norfolk Broads, were studied using one reflective (TM1) and the thermal (TM6) TM band. The results indicated that the through-flowing path of the River Ant in Barton Broad is the major influence on the distribution of these parameters. In Wroxham Broad, both turbidity and surface temperature displayed a uniform distribution. This could be explained by the absence of a predominant direction of flow.     

Satellite SAR Remote Sensing of Great Lakes Ice Cover,Part 2. Ice Classification and Mapping

During the 1997 winter season, shipborne polarimetric backscatter measurements of Great Lakes (freshwater) ice types using the Jet Propulsion Laboratory C-band scatterometer, together with surface-based ice physical characterization measurements and environmental parameters, were acquired concurrently with Earth Resource Satellite 2 (ERS-2) and RADARSAT Synthetic Aperture Radar (SAR) data. This polarimetric data set, composed of over 20 variations of different ice types measured at incident angles from 0° to 60° for all polarizations, was processed to radar cross-section to establish a library of signatures (look-up table) for different ice types. The library is used in the computer classification of calibrated satellite SAR data. Computer analysis of ERS-2 and RADARSAT ScanSAR images of Great Lakes ice cover using a supervised classification technique indicates that different ice types in the ice cover can be identified and mapped, and that wind speed and direction can have an influence on the classification of water as ice based on single frequency, single polarization data. Once satellite SAR data are classified into ice types, the ice map provides important and necessary input for environmental protection and management, ice control and ice breaking operations, and ice forecasting and modeling efforts.