巧用计算方法提高测量精度

实际工作中,经常需要测量电路中的电压和电流,为保证测量结果准确,提高仪表测量精度,需满足一些条件.本文主要针对电压、电流测量过程中,当电压、电流表内阻无法满足测量要求时,提出了采用不同量程两次测量计算法和同一量程两次测量计算法来提高测量精度.     

Correcting experience-based judgments: the perseverance of subjective experience in the face of the correction of judgment

Many of our cognitive and metacognitive judgments are based on sheer subjective experience. Subjective experience, however, may be contaminated by irrelevant factors, resulting in biased judgments. Under certain conditions people exert a metacognitive correction process to remedy such biased judgments. In this study we examine the proposition that even after a judgment has been corrected to avoid the biasing effects on subjective experience, subjective experience itself remains biased. We asked participants to judge the difficulty of anagrams for others. When they were aware of having been exposed to the solutions of some of the anagrams, they corrected their difficulty judgments for these anagrams. Despite this correction, their speeded choices in a subsequent task disclosed their biased subjective experience that these anagrams were easier to solve. Implications for the study of metacognition and for the educational domain are discussed.

浅谈SIFT算法对HJ-1 B影像自动配准研究

实现影像间自动配准的关键在于快速提取足够数量且精度高的匹配点。提取特征点的方法主要有基于特征和基于灰度两种。经过大量的实验证明,sift算法提取特征点,从粗略的提取特征点,再通过四步对已提取的特征点进行提纯,最后利用精度较高的匹配点进行计算影像间的变换参数,实现配准的自动化。     

Metacognition and affect: What can metacognitive experiences tell us about the learning process?

This paper aims at highlighting the importance for learning of one of the facets of metacognition, namely metacognitive experiences (ME) that comprise feelings, judgments or estimates, and online task-specific knowledge. The emphasis is on the affective character of ME, which has received little attention in the past. Unlike online task-specific knowledge, which is conscious and analytic, the other ME are products of nonconscious, nonanalytic inferential processes. Because of their nature, ME can trigger either rapid, nonconscious control decisions or conscious analytic ones. However, ME can make use of both the affective and the cognitive regulatory loops, and this has a series of implications for learning. Evidence is presented regarding the relations of ME with affect and cognition, and the implications of the lack of accuracy of ME for the self-regulation of learning. Particular emphasis is given on judgment of learning, feeling of difficulty, and feeling of confidence. The challenges for future research on metacognition are underscored.     

人事档案中出生时间和参加工作时间准确性刍议

本文指出了目前人事档案存在出生时间和参加工作时间互不一致的现象 ,及其此现象对组织人事工作的正常进行造成被动 ,并影响职工的个人利益 ,同时提出为避免这种现象的出现而采取的措施及对既成现象的应对办法。     

Classifying Data Sets Using Support Vector Machines Based on Geometric Distance

Support vector machines (SVMs) are not as favored for large-scale data mining as for pattern recognition and machine learning because the training complexity of SVMs is highly dependent on the size of data set. This paper presents a geometric distance-based SVM (GDB-SVM). It takes the distance between a point and classified hyperplane as classification rule, and is designed on the basis of theoretical analysis and geometric intuition. Experimental code is derived from LibSVM with Microsoft Visual C 6.0 as system of translating and editing. Four predicted results of five of GDB-SVM are better than those of the method of one against all (OAA). Three predicted results of five of GDB-SVM are better than those of the method of one against one (OAO). Experiments on real data sets show that GDB-SVM is not only superior to the methods of OAA and OAO, but highly scalable for large data sets while generating high classification accuracy.     

研究平抛物运动实验成功之关键

在研究平抛物运动的实验中，只要注意做好关键的六点，实验就会成功，描出的平抛物运动轨迹比较准确，求出的初速度误差较小。     

闭环系统的过采样辨识方法及其估计精度分析

A new identification method for a linear discrete-time closed-loop system is proposed based on an output over-sampling scheme. When the system outputs are over-sampled the new output sequences would contain more information about the plant structure. Using general least squares method （GLS） the plant over-sampled model should be recognized. Then the original plant model should be obtained by its relationship with the over-sampled model. Compared with conventional approaches the advantage of the new method is that even if the ordinary identifiability conditions are not satisfied, a close-loop system can be identified by using the oversampled output without utilizing any external test signal. Accuracy analysis shows the relationship between the estimation error and the over-sampling rate. Numerical simulation illnstrates its effectiveness.     

编制准确工程预结算应注意的几个环节

本文从建筑工程公司招标投标及节省国家投资的角度出发,阐述编制准确工程预结算应注意的几个环节。     

对络合滴定中滴定速度的探讨

该文选择络合滴定法,在不同滴定速度下对水硬度进行了实验测定,并就滴定结果对滴定速度的影响进行了分析和讨论．