Apparent Performance Problems

Apparent Performance Problems

Question:
Could you tell me why this takes a 150MHz Pentium with 64MB of RAM just to run fast enough to catch MCI time output?

 Private Sub Rply_Timer_Run()Dim ReplayTime As LongDim CTime As LongDim iTemp As LongDim iLong As LongDim j As IntegerReplayIndex = 0BaseData = 1000000000Do While Rply = True    ReplayTime = SaveData(ReplayIndex).CDTime_Data            iLong = frmCD2.MMControl1.Position        iTemp = iLong And &HFF00  &H100        CDTime = iTemp / 10        CTime = CStr(iTemp) / 10                frmCD2.lblCDTime.Caption = Format(CTime / 100, "0.000")        frmCD2.lblCDTime.Refresh                    If (ReplayTime >= CDTime And ReplayTime <= (CDTime + 10)) Then                  OutData = SaveData(ReplayIndex).In_Out_Data                ReplayIndex = ReplayIndex + 1                              OutputData = OutData - BaseData                          OutputDataA = (CLng(OutputData) 10000)          OutputDataB = (CLng(OutputData  1000)) - (CLng(OutputDataA * 1000))          OutputDataC = (CLng(OutputData)) -OutputDataA * 1000000) + CLng(OutputDataB * 1000))                                OutputDataA1 = CStr(OutputDataA)                OutputDataB1 = CStr(OutputDataB)                OutputDataC1 = CStr(OutputDataC)                            PCDioOutPortA1 (OutputDataA1)                PCDioOutPortB1 (OutputDataB1)                PCDioOutPortC1 (OutputDataC1)                 j = j + 1            Else                j = j + 1            End If                        If j = 100 Then                DoEvents                j = 0            End If    LoopEnd Sub

Any help would be very much appreciated. (Version: Version 4.0 Professional)

Answer:
The kernel of the solution is that sixteen is 2 to the fourth power. Each position in the hex string can be translated into four binary digits to create the final result. To do this, you need to create a lookup table of the following structure and data;

 cHex  cBin    0   0000    1   0001    2   0010    3   0011    4   0100    5   0101    6   0110    7   0111    8   1000    9   1001    A   1010    B   1011    C   1100    D   1101    E   1110    F   1111 

Now, you can take the hex result that comes from the BINARY keyword and decode it using the lookup table, stacking your result with the least significant bit on the right (backwards).

Share the Post:
XDR solutions

The Benefits of Using XDR Solutions

Cybercriminals constantly adapt their strategies, developing newer, more powerful, and intelligent ways to attack your network. Since security professionals must innovate as well, more conventional endpoint detection solutions have evolved

AI is revolutionizing fraud detection

How AI is Revolutionizing Fraud Detection

Artificial intelligence – commonly known as AI – means a form of technology with multiple uses. As a result, it has become extremely valuable to a number of businesses across

AI innovation

Companies Leading AI Innovation in 2023

Artificial intelligence (AI) has been transforming industries and revolutionizing business operations. AI’s potential to enhance efficiency and productivity has become crucial to many businesses. As we move into 2023, several

data fivetran pricing

Fivetran Pricing Explained

One of the biggest trends of the 21st century is the massive surge in analytics. Analytics is the process of utilizing data to drive future decision-making. With so much of

kubernetes logging

Kubernetes Logging: What You Need to Know

Kubernetes from Google is one of the most popular open-source and free container management solutions made to make managing and deploying applications easier. It has a solid architecture that makes

ransomware cyber attack

Why Is Ransomware Such a Major Threat?

One of the most significant cyber threats faced by modern organizations is a ransomware attack. Ransomware attacks have grown in both sophistication and frequency over the past few years, forcing

data dictionary

Tools You Need to Make a Data Dictionary

Data dictionaries are crucial for organizations of all sizes that deal with large amounts of data. they are centralized repositories of all the data in organizations, including metadata such as