dynaform-training-manual

说明：  自动贩卖机可以实现投币找零 购买那种饮料(Vending machines can change money to buy that drink)

Python版的opencv官方文档中文翻译版，非常实用( U7288 u7688 u7684 u5B8 u5B9 u65B9 u6587 u687 u4E2D u6587 u7RB)

Marmousi 速度模型文件，vp_marmousi-ii.segy.gz (1725 KB)(Marmousi vp_marmousi-ii.segy.gz (1725 KB))

java 实现计算器功能 -java calculator functions to achieve java calculator functions to achieve

数据库老师布置的一个很有趣的作业，自拟命题SQL语句，同学相互抽做，互相评分-database teacher decorated a very interesting process, since the proposed Proposition SQL classmates mutual pumping so, mutual score

Outlook drop and take

空气湿度报警器，顾名思义，是用来测量空气中的湿度的仪器，他通过一个湿敏电容和一个频率输出电路对空气湿度进行检测，把湿度变化转变成频率输出。再通过单片机把输入的频率转化为湿度百分值并通过LCD显示出来，使人可以通过显示清楚地看到空气的相对湿度。在单片机编程时可以预先设定一个限定值，当环境湿度达到设定的湿度值时电路报警，同时发光二极管变亮，达到湿度报警的目的。-Air humidity alarm, as the name implies, is used to measure humidity in the air apparatus, he humidity through a capacitor and a frequency output circuit for detection of air humidity, the humidity changes in the frequency of the output into. Through the single-chip frequency of the input into a percentile and humidity through the LCD display, one can clearly see through the display of the relative humidity of air. Single-chip can be programmed in advance to set a limit value, when the environmental humidity to achieve set alarm circuit humidity values, while LED light changes to achieve the purpose of humidity alarm.

介绍了FAT文件系统原理，属于入门级知识-FAT file system, introduced the principle of belonging to the entry-level knowledge

arm7芯片 lpc2214中文数据手册 -ARM7 chip LPC2214 Data Sheet Chinese

* 本算法用最小二乘法依据指定的M个基函数及N个已知数据进行曲线拟和 * 输入: m--已知数据点的个数M * f--M维基函数向量 * n--已知数据点的个数N-1 * x--已知数据点第一坐标的N维列向量 * y--已知数据点第二坐标的N维列向量 * a--无用 * 输出: 函数返回值为曲线拟和的均方误差 * a为用基函数进行曲线拟和的系数, * 即a[0]f[0]+a[1]f[1]+...+a[M]f[M]. -* The algorithm using the least-squares method based on the designated function of M and N-known curve data to be imported and* : m-- the known number of data points M* f-- From M* n vector function-- known data points the number N-1* x-- known data points of the first N-dimensional coordinates listed Vector* y-- known data points of the second N-dimensional coordinates shown in a vector*-- useless* Output : function return value to the curve-fitting and the mean square error* for the use of a base function and the curve fitting coefficients,* is a f [0] [0] a [1] f [a] ... a [M] f [M].