We use the session and Cookie in the south of the development project, so there are rules in yii.The following cases:Session useFunctionactionS1 () {echo $this->id. "";echo $this->action->id. "";Set session, set by session componentYii::app ()->session[' username '] = "Zhangsan";Yii::app ()->session[' useraddr '] = "Beijing";echo "Make session Success";} FunctionactionS2 () {Use sessionEcho Yii::app ()->session[' username '], "";Echo Yii::app ()->session[' useraddr '];echo "Use session success";
operated on that bank. BA[2:0] defines which mode (MR0, MR1, MR2) is loaded during the load Mode command, ba[2:0] reference is VREFCA
ck,ck#
Input
Clock. The differential clock input, all control and address input signals are sampled at the intersection of the CK rising edge and the ck#, and th
123456min. js to be on top--789Ten One A - + A point test results are as follows123456min. js to be on top--789Ten One A - - +jquery takes the selected value out of the check boxclass= "ck" value= "Zhangdian"/>Zhangdianclass= "ck" value= "Zichuan"/>Zichuanclass= "ck" value= "Zhoucun"/>Zhoucunclass= "ck" value=
Today, I try to combine the basic tab of the form form and put it on the Web page, and find that the various label functions can be displayed without using the form element " -">Enter user name"text"Name="1"Value=""/>Enter Password"Password"Name="mm"Value=""/>locationSelect> Select> Choose the poet you like"checkbox"Name="ck[]"Value="Li Qingzhao"/>Li Qingzhao"checkbox"Name="ck[]"Value="Lu You"/>Lu You"check
. DOM objects and jquery objects1.DOM object: An Element object obtained through the DOM API operation in JavaScript, such as document.getElementById ...2.JQquery object: Object created after wrapping Dom object through jquery, $ (DOM object), $ (selector)3.DOM objects and jquery objects can only access their own methods, such as:var div = document.getElementById ("div");div.innerhtml = "Hello,world";$ ("#div"). HTML ("Hello,china");V. Conversion of DOM objects to jquery objects1.Jquery Object--
previous settings, the system will require users to automatically embed the client's resource information in the user's set of URL statements. For example, when using cookies, the URL for a user to set up a Web page is: http://yourserver/folder/default.aspx, and now you have set up a configuration that does not use cookies, the URL of the invoked statement becomes: http:// yourserver/folder/(here in session ID)/default.aspx, where "session ID" represents the location of the user's resource info
", meaning that they are immutable re Turn map (Frozenset, C1) # D: DataSet # Ck: List of candidates set # Minsupport: Minimum support degree for the set of interest Minsupport # The function returns a dictionary with support degrees for later use Def scand (D, Ck,
Minsupport): sscnt = {} for Tid in D:for can in Ck:if Can.issubset (TID): If not Sscnt.has_key (CAN): Sscnt[can] = 1 Else:sscnt[
The first: Using client-side controls to implement
Js:
Copy Code code as follows:
GridView Control:
Copy Code code as follows:
The second: Using server-side controls to implement
Copy Code code as follows:
protected void Select all _checkedchanged (object sender, EventArgs e)
{
If (Select All.) Checked = = True)
{
for (int i = 0; i {
CheckBox ck = (CheckBox) Gri Dview1.ro
RNG = new system. Security. cryptography. rngcryptoserviceprovider (); // cipher random number generatorByte [] bt = new byte [I];RNG. getbytes (BT); // fill in the byte array with the encrypted strong random value sequenceSystem. Text. stringbuilder STR = new system. Text. stringbuilder ();For (Int J = 0; j {Str. append (string. Format ("{0: X2}", BT [J]); // converts the string to hexadecimal text in uppercase.}Return Str. tostring ();}2: Add a key to the project root web. config for single-p
all frequent item sets. Most calculations are concentrated in this step.
2. Strong association rules are generated by frequent item sets, that is, rules that meet the minimum support and minimum confidence level4. Algorithm for Finding frequent item sets: Apriori algorithm
Using the prior knowledge (prior knowledge) of the frequent item set, Apriori algorithm uses the layer-by-layer search iteration method to calculate the K-item set (k + 1 ,, to exhaust all frequent item sets in a dataset.
To
+ = "," + json [key];}Var s = str2.toString ();// Remove the first commaIf (s. substr (0, 1) = ','){S = s. substr (1 );}Return s;}Function add_all (){Var ck = document. getElementsByTagName ("input ");For (I = 0; I If (ck [I]. type = "checkbox "){Ck [I]. checked = true;CheckRe (ck [I]);}}}Function del_all (){Var id =
The checkbox in the GridView selection and reverse selection in many places is required to implement, so the following from the server side and the client two aspects of the implementation of the checkbox selection.
1. Server-side:
The HTML code is as follows:
Copy Code code as follows:
Datakeynames= "ID" datasourceid= "SqlDataSource1" >
Readonly= "True" sortexpression= "ID"/>
The acquisition of data is not the focus, so the use of the SqlDataSource control is chosen to achieve d
random number, calculates the authentication vector AV, and sends it to the VLR.
(4) VLR received AV, the random number and authentication token autn sent to MS, requesting users to produce authentication data.
(5) Ms receives the authentication request, first calculates the Xmac, and compares with the Mac in Autn, if different, sends the Reject authentication message to the VLR, and abandons this process. Also verify that the received serial number sqn is in a valid range, if not, Ms sends a
Hit the course with the code: actually there are a lot of pits, and then studySupermarket Category: classSuppermarket {//Create a Warehouse objectCangku ck =NewCangku (); PublicSuppermarket () {ck. Jinpros ("Acer", +); Ck. Jinpros ("SamSung", +); Ck. Jinpros ("jiangyou", +); Ck
JavaScript implementation check box select all and Cancel code analysis:check box is one of the commonly used elements, and click to achieve the full selection and deselect all the most commonly used functions, especially in the bulk operations management, very convenient, the following code example through the introduction of how to achieve this effect, code examples are as follows:DOCTYPE HTML> HTML> Head> MetaCharSet= "Utf-8"> Metaname= "Author"content= "http://www.softwhy.com/" /> title>chec
Naive Bayesian method is a classification method based on Bayesian theorem and independent hypothesis of characteristic condition. , for a given training data set, the joint probability distribution of input and output is studied firstly based on the hypothesis of characteristic condition, and then based on this model, the output Y with the greatest posterior probability is obtained by using Bayesian theorem, and the simple Bayesian method is very efficient for learning and predicting, which is
security of each call, but also completes the Authentication Encryption.
Iii. Network Security of the third-generation mobile communication (UMTS)
1. UMTS authentication process.
(1) MS first sends a service request to VLR in the network. If MS is not registered in HLR/VLR, VLR requests authentication to the AUC of MS (random RAND, expected response XRES, encryption key CK, integrity key IK and authentication token AUTN ).
(2) AUC finds Ki, SQN, AMF,
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