A gain and bandwidth enhanced transimpedance preamplifier for Fourier-transform ion cyclotron resonance mass spectrometry

The nature of the ion signal from a 12-T Fourier-transform ion cyclotron resonance mass spectrometer and the electronic noise were studied to further understand the electronic detection limit. At minimal cost, a new transimpedance preamplifier was designed, computer simulated, built, and tested. The preamplifier design pushes the electronic signal-to-noise performance at room temperature to the limit, because of its enhanced tolerance of the capacitance of the detection device, lower intrinsic noise, and larger flat mid-band gain (input current noise spectral density of around 1 pA/√Hz when the transimpedance is about 85 dBΩ). The designed preamplifier has a bandwidth of ~3 kHz to 10 MHz, which corresponds to the mass-to-charge ratio, m/z, of approximately 18 to 61 k at 12 T. The transimpedance and the bandwidth can be easily adjusted by changing the value of passive components. The feedback limitation of the circuit is discussed. With the maximum possible transimpedance of 5.3 MΩ when using an 0402 surface mount resistor, the preamplifier was estimated to be able to detect ~110 charges in a single scan.     

Ricci flow-based spherical parameterization and surface registration

This paper presents an improved Euclidean Ricci flow method for spherical parameterization. We subsequently invent a scale space processing built upon Ricci energy to extract robust surface features for accurate surface registration. Since our method is based on the proposed Euclidean Ricci flow, it inherits the properties of Ricci flow such as conformality, robustness and intrinsicalness, facilitating efficient and effective surface mapping. Compared with other surface registration methods using curvature or sulci pattern, our method demonstrates a significant improvement for surface registration. In addition, Ricci energy can capture local differences for surface analysis as shown in the experiments and applications.     

吉林省西部水环境改善探讨

吉林省西部水环境恶化,干旱日趋严重,土地荒漠化、盐渍化进程加快,牧草退化,湿地萎缩,生物物种减少,使得农业生产的不稳定性加剧。通过对该地区水环境现状的研究,提出了相应的改善措施,即利用流经吉林省西部地区境内的嫩江、洮儿河和霍林河的天然过境水和洪水,以及三大灌区的回归水,充盈星罗棋布的泡塘,扩大水面面积和湿地面积,从根本上解决吉林省西部地区水环境恶化的问题。     

An integrated microfluidic signal generator using multiphase droplet grating

An integrated and reconfigurable optofluidic signal generator based on multiphase droplet grating is demonstrated in this paper. The chip is fabricated with an inexpensive, optically clear and non-toxic silicone elastomer-polydimethylsiloxane (PDMS) by conventional soft lithography. Droplet grating is formed by a stream of plugs which are generated through a typical microfluidic T-junction. Since the refractive indices of the two immiscible liquids are different, the alternative mobility of the plug results in the periodical change of the reflectivity at the fluid/PDMS interface. The real-time tunability in the frequency and amplitude of the signal can be realized by varying the flow rates of the liquids. In experiments, both rectangle and triangle signals are displayed and the signal frequency ranges from 1 to 525 Hz. This signal generator can be easily integrated into other microfluidic networks to create versatile functionalities. Furthermore, we present coding functions based on the signal generator on a chip. Such a signal generator has great potential as a signal source or a part of functionalities for lab-on-a-chip applications.     

设计更改在装配关节图上的传播

设计更改的连锁反应效应可能导致不可预计的后果,为了更好地获取更改在零件间的传播过程,提出基于装配关节图的更改传播求解方法.装配关节图以机件内部所有与装配特征相关的几何特征为研究对象,零件间的连接关系和零件内几何特征间的空间关系分别用装配关节和变换矩阵表示;作用于几何特征的设计更改表达为特征坐标系下的变换矩阵,更改在关节图上的传播按机器人学中的正运动学问题求解,并在关节处根据自由度进行消解;在装配关节图上层层递进的更改传播求解与人工干预的更改方案的确定及实施交替进行.最后基于Pro/E平台二次开发的应用系统验证了该方法的可行性.     

全面提高教师的教育教学能力,是实现高职教育以能力为本位培养目标的关键

自20世纪80年代以来,我国在职业教育的人才培养模式上不断地研究、探索和创新。当前在全面推进高职教育内涵建设的新形势下,积极探索基于能力本位的专业人才培养方案。本文就要想实现高职教育以能力为本位培养目标,必须全面提高教师的教育教学能力展开探讨。     

浅谈气象电子屏的建设与推广

本文通过作者阐述与分析了气象电子屏的应用现状.并对气象电子屏的建设和推广进行了详细的分析.气象电子屏作为新型的气象服务手段,能短时间内将气象信息快速传播,有效解决了气象信息发布"最后1公里"难题,将会大大提高社会防灾减灾的能力,产生较大的社会效益.并在气象科技服务中发挥积极的促进作用.     

Access数据库在水利勘察、岩土工程勘察工作量统计中的应用

本文通过在水利、岩土工程勘察工作量统计中应用Access数据库进行工作量数据录入、计算、分类汇总、报表输出等方法的介绍,对提高统计工作的质量,提高统计工作的速度,实现水利、岩土统计工作电算化、微机化一定的参考的价值.     

The diffusion decision model: theory and data for two-choice decision tasks

The diffusion decision model allows detailed explanations of behavior in two-choice discrimination tasks. In this article, the model is reviewed to show how it translates behavioral data-accuracy, mean response times, and response time distributions-into components of cognitive processing. Three experiments are used to illustrate experimental manipulations of three components: stimulus difficulty affects the quality of information on which a decision is based; instructions emphasizing either speed or accuracy affect the criterial amounts of information that a subject requires before initiating a response; and the relative proportions of the two stimuli affect biases in drift rate and starting point. The experiments also illustrate the strong constraints that ensure the model is empirically testable and potentially falsifiable. The broad range of applications of the model is also reviewed, including research in the domains of aging and neurophysiology.     

Learning traversability models for autonomous mobile vehicles

Autonomous mobile robots need to adapt their behavior to the terrain over which they drive, and to predict the traversability of the terrain so that they can effectively plan their paths. Such robots usually make use of a set of sensors to investigate the terrain around them and build up an internal representation that enables them to navigate. This paper addresses the question of how to use sensor data to learn properties of the environment and use this knowledge to predict which regions of the environment are traversable. The approach makes use of sensed information from range sensors (stereo or ladar), color cameras, and the vehicle’s navigation sensors. Models of terrain regions are learned from subsets of pixels that are selected by projection into a local occupancy grid. The models include color and texture as well as traversability information obtained from an analysis of the range data associated with the pixels. The models are learned without supervision, deriving their properties from the geometry and the appearance of the scene. The models are used to classify color images and assign traversability costs to regions. The classification does not use the range or position information, but only color images. Traversability determined during the model-building phase is stored in the models. This enables classification of regions beyond the range of stereo or ladar using the information in the color images. The paper describes how the models are constructed and maintained, how they are used to classify image regions, and how the system adapts to changing environments. Examples are shown from the implementation of this algorithm in the DARPA Learning Applied to Ground Robots (LAGR) program, and an evaluation of the algorithm against human-provided ground truth is presented.