Audition Equivalent for Soundbooth Equalize function?

Soundbooth was a less-capable program, but for my work the equalize function was awesome. Any/every voice track, I could equalize it and it would bring the quiet parts up and hold the loud parts, even if the quiet part was like just one single word or syllable. So voice tracks were always clear and loud and even.
Can I do this in audition? I have not found a single option that does this for me. Not yet anyhow. Need is fairly urgent.
Thanks!

This same feature is available, and enhanced with some additional controls, under Effects > Amplitude and Compression > Speech Volume Leveler.

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PL/SQL equivalent for networkdays function

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Is anyone aware of a PL/SQL equivalent for the Excel "networkdays" function, that returns the number of whole workdays between 2 dates?
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To calculate the number of days between january 1st and today, use the following.
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2) MD_CONVERT_MATERIAL_UNIT
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Is there a logic:match equivalent for JSTL?

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Thanks to all of you for your time.

Yes you can use the logic:iterate tag. I think you have to specify the type of the exposed variable though. I prefer the forEach loop.
I think you are using the wrong attribute in the logic:match tag. You should be using the "name" attribute rather than "parameter"
Parameter attribute refers you to a request parameter, and I pretty sure you don't want that.
So given the collection of objects in the session attribute "result"
This should loop through them all, and see if they start with the letter 'Y'
<c:forEach var="myResults" items="${sessionScope.result}" varStatus="status">
 <logic:match name='myResults' property='pin' value='Y'>
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 </logic:match>
</c:forEach>As for the latter bit, are you using a JSP2 container and JSTL1.1? It would appear so seeing as you are trying to use EL expressions in the logic:match tag.
If so, you could make use of the JSTL function library:
<c:forEach var="myResults" items="${sessionScope.result}" varStatus="status">
 <c:if test='${fn:startsWith(myResults.pin, "Y")}'>
 <c:out value="${fn:substring(myResults.pin, 1, -1)}"/>
 </c:if>
</c:forEach>And I've just spotted a very cool function in there: substringAfter
<c:forEach var="myResults" items="${sessionScope.result}" varStatus="status">
 <c:out value='${fn:substringAfter(myResults.pin, 'Y')}'/>
</c:forEach>Cheers,
evnafets

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Nested Loops?
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Audition VS. Soundbooth

Hello,
I just discovered this site..I've been writing in the beta forum so far. So I'll share want I said so far here:
There are a lot of features in Audition that would be very useful in Soundbooth, simple things like running multiple instances of Soundbooth at the same time, e.g. applying an effect on one file and editing another.
Also, making tracks for a CD, in Soundbooth you have to make loops...in Audition you can make markers that have length (distance) and batch process them.
Also when positioning the cursor to put the marker it snaps to the exact spot whereas in Soundbooth it's not exact.
In Soundbooth the cursor is not in sync with audio waveform, makes editing difficult. [Cursor drags behind waveform.]
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Okay, I tried it. You are right. The button just doesn't change to saying "apply to selection" like it does in audio effects. Audio effects works better for me anyways, since I'm focusing on background hiss, and the noise reduction is nothing in comparison to effects. Noise reduction tends to distort the sound. That's where Audition came in handy, it had that adaptive noise reduction that avoided that problem.
User@Mac

Centralized audit repository for DB, O/S, firewall, etc

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Sounds like you are looking for something along the lines of HP OpenView.....

Audit trails for ammendments to master data

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Hi,
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The Security Audit Log is a tool designed for auditors who need to take a detailed look at what occurs in the SAP System. By activating the audit log, you keep a record of those activities you consider relevant for auditing. You can then access this information for evaluation in the form of an audit analysis report.
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Cheers

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Unable to get the composite instance for the invocation. This could be because instance has not yet been created or because the audit level for the SOA infra has been set to Off

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A replacement for the Quicksort function in the C++ library

Hi every one,
I'd like to introduce and share a new Triple State Quicksort algorithm which was the result of my research in sorting algorithms during the last few years. The new algorithm reduces the number of swaps to about two thirds (2/3) of classical Quicksort. A multitude
of other improvements are implemented. Test results against the std::sort() function shows an average of 43% improvement in speed throughout various input array types. It does this by trading space for performance at the price of n/2 temporary extra spaces.
The extra space is allocated automatically and efficiently in a way that reduces memory fragmentation and optimizes performance.
Triple State Algorithm
The classical way of doing Quicksort is as follows:
- Choose one element p. Called pivot. Try to make it close to the median.
- Divide the array into two parts. A lower (left) part that is all less than p. And a higher (right) part that is all greater than p.
- Recursively sort the left and right parts using the same method above.
- Stop recursion when a part reaches a size that can be trivially sorted.
The difference between the various implementations is in how they choose the pivot p, and where equal elements to the pivot are placed. There are several schemes as follows:
[ <=p | ? | >=p ]
[ =p | ? ]
[ <=p | =p | ? | >p ]
[ =p | p ] Then swap = part to middle at the end
[ =p | p | =p ] Then swap = parts to middle at the end
Where the goal (or the ideal goal) of the above schemes (at the end of a recursive stage) is to reach the following:
[ p ]
The above would allow exclusion of the =p part from further recursive calls thus reducing the number of comparisons. However, there is a difficulty in reaching the above scheme with minimal swaps. All previous implementation of Quicksort could not immediately
put =p elements in the middle using minimal swaps, first because p might not be in the perfect middle (i.e. median), second because we don’t know how many elements are in the =p part until we finish the current recursive stage.
The new Triple State method first enters a monitoring state 1 while comparing and swapping. Elements equal to p are immediately copied to the middle if they are not already there, following this scheme:
[ p ]
Then when either the left (<p) part or the right (>p) part meet the middle (=p) part, the algorithm will jump to one of two specialized states. One state handles the case for a relatively small =p part. And the other state handles the case for a relatively
large =p part. This method adapts to the nature of the input array better than the ordinary classical Quicksort.
Further reducing number of swaps
A typical quicksort loop scans from left, then scans from right. Then swaps. As follows:
while (l<=r)
while (ar[l]<p)
l++;
while (ar[r]>p)
r--;
if (l<r)
{ Swap(ar[l],ar[r]);
l++; r--;
else if (l==r)
{ l++; r--; break;
The Swap macro above does three copy operations:
Temp=ar[l]; ar[l]=ar[r]; ar[r]=temp;
There exists another method that will almost eliminate the need for that third temporary variable copy operation. By copying only the first ar[r] that is less than or equal to p, to the temp variable, we create an empty space in the array. Then we proceed scanning
from left to find the first ar[l] that is greater than or equal to p. Then copy ar[r]=ar[l]. Now the empty space is at ar[l]. We scan from right again then copy ar[l]=ar[r] and continue as such. As long as the temp variable hasn’t been copied back to the array,
the empty space will remain there juggling left and right. The following code snippet explains.
// Pre-scan from the right
while (ar[r]>p)
r--;
temp = ar[r];
// Main loop
while (l<r)
while (l<r && ar[l]<p)
l++;
if (l<r) ar[r--] = ar[l];
while (l<r && ar[r]>p)
r--;
if (l<r) ar[l++] = ar[r];
// After loop finishes, copy temp to left side
ar[r] = temp; l++;
if (temp==p) r--;
(For simplicity, the code above does not handle equal values efficiently. Refer to the complete code for the elaborate version).
This method is not new, a similar method has been used before (read: http://www.azillionmonkeys.com/qed/sort.html)
However it has a negative side effect on some common cases like nearly sorted or nearly reversed arrays causing undesirable shifting that renders it less efficient in those cases. However, when used with the Triple State algorithm combined with further common
cases handling, it eventually proves more efficient than the classical swapping approach.
Run time tests
Here are some test results, done on an i5 2.9Ghz with 6Gb of RAM. Sorting a random array of integers. Each test is repeated 5000 times. Times shown in milliseconds.
size std::sort() Triple State QuickSort
5000 2039 1609
6000 2412 1900
7000 2733 2220
8000 2993 2484
9000 3361 2778
10000 3591 3093
It gets even faster when used with other types of input or when the size of each element is large. The following test is done for random large arrays of up to 1000000 elements where each element size is 56 bytes. Test is repeated 25 times.
size std::sort() Triple State QuickSort
100000 1607 424
200000 3165 845
300000 4534 1287
400000 6461 1700
500000 7668 2123
600000 9794 2548
700000 10745 3001
800000 12343 3425
900000 13790 3865
1000000 15663 4348
Further extensive tests has been done following Jon Bentley’s framework of tests for the following input array types:
sawtooth: ar[i] = i % arange
random: ar[i] = GenRand() % arange + 1
stagger: ar[i] = (i* arange + i) % n
plateau: ar[i] = min(i, arange)
shuffle: ar[i] = rand()%arange? (j+=2): (k+=2)
I also add the following two input types, just to add a little torture:
Hill: ar[i] = min(i<(size>>1)? i:size-i,arange);
Organ Pipes: (see full code for details)
Where each case above is sorted then reordered in 6 deferent ways then sorted again after each reorder as follows:
Sorted, reversed, front half reversed, back half reversed, dithered, fort.
Note: GenRand() above is a certified random number generator based on Park-Miller method. This is to avoid any non-uniform behavior in C++ rand().
The complete test results can be found here:
http://solostuff.net/tsqsort/Tests_Percentage_Improvement_VC++.xls
or:
https://docs.google.com/spreadsheets/d/1wxNOAcuWT8CgFfaZzvjoX8x_WpusYQAlg0bXGWlLbzk/edit?usp=sharing
Theoretical Analysis
A Classical Quicksort algorithm performs less than 2n*ln(n) comparisons on the average (check JACEK CICHON’s paper) and less than 0.333n*ln(n) swaps on the average (check Wild and Nebel’s paper). Triple state will perform about the same number of comparisons
but with less swaps of about 0.222n*ln(n) in theory. In practice however, Triple State Quicksort will perform even less comparisons in large arrays because of a new 5 stage pivot selection algorithm that is used. Here is the detailed theoretical analysis:
http://solostuff.net/tsqsort/Asymptotic_analysis_of_Triple_State_Quicksort.pdf
Using SSE2 instruction set
SSE2 uses the 128bit sized XMM registers that can do memory copy operations in parallel since there are 8 registers of them. SSE2 is primarily used in speeding up copying large memory blocks in real-time graphics demanding applications.
In order to use SSE2, copied memory blocks have to be 16byte aligned. Triple State Quicksort will automatically detect if element size and the array starting address are 16byte aligned and if so, will switch to using SSE2 instructions for extra speedup. This
decision is made only once when the function is called so it has minor overhead.
Few other notes
- The standard C++ sorting function in almost all platforms religiously takes a “call back pointer” to a comparison function that the user/programmer provides. This is obviously for flexibility and to allow closed sourced libraries. Triple State
defaults to using a call back function. However, call back functions have bad overhead when called millions of times. Using inline/operator or macro based comparisons will greatly improve performance. An improvement of about 30% to 40% can be expected. Thus,
I seriously advise against using a call back function when ever possible. You can disable the call back function in my code by #undefining CALL_BACK precompiler directive.
- Like most other efficient implementations, Triple State switches to insertion sort for tiny arrays, whenever the size of a sub-part of the array is less than TINY_THRESH directive. This threshold is empirically chosen. I set it to 15. Increasing this
threshold will improve the speed when sorting nearly sorted and reversed arrays, or arrays that are concatenations of both cases (which are common). But will slow down sorting random or other types of arrays. To remedy this, I provide a dual threshold method
that can be enabled by #defining DUAL_THRESH directive. Once enabled, another threshold TINY_THRESH2 will be used which should be set lower than TINY_THRESH. I set it to 9. The algorithm is able to “guess” if the array or sub part of the array is already sorted
or reversed, and if so will use TINY_THRESH as it’s threshold, otherwise it will use the smaller threshold TINY_THRESH2. Notice that the “guessing” here is NOT fool proof, it can miss. So set both thresholds wisely.
- You can #define the RANDOM_SAMPLES precompiler directive to add randomness to the pivoting system to lower the chances of the worst case happening at a minor performance hit.
-When element size is very large (320 bytes or more). The function/algorithm uses a new “late swapping” method. This will auto create an internal array of pointers, sort the pointers array, then swap the original array elements to sorted order using minimal
swaps for a maximum of n/2 swaps. You can change the 320 bytes threshold with the LATE_SWAP_THRESH directive.
- The function provided here is optimized to the bone for performance. It is one monolithic piece of complex code that is ugly, and almost unreadable. Sorry about that, but inorder to achieve improved speed, I had to ignore common and good coding standards
a little. I don’t advise anyone to code like this, and I my self don’t. This is really a special case for sorting only. So please don’t trip if you see weird code, most of it have a good reason.
Finally, I would like to present the new function to Microsoft and the community for further investigation and possibly, inclusion in VC++ or any C++ library as a replacement for the sorting function.
You can find the complete VC++ project/code along with a minimal test program here:
http://solostuff.net/tsqsort/
Important: To fairly compare two sorting functions, both should either use or NOT use a call back function. If one uses and another doesn’t, then you will get unfair results, the one that doesn’t use a call back function will most likely win no matter how bad
it is!!
Ammar Muqaddas

Thanks for your interest.
Excuse my ignorance as I'm not sure what you meant by "1 of 5" optimization. Did you mean median of 5 ?
Regarding swapping pointers, yes it is common sense and rather common among programmers to swap pointers instead of swapping large data types, at the small price of indirect access to the actual data through the pointers.
However, there is a rather unobvious and quite terrible side effect of using this trick. After the pointer array is sorted, sequential (sorted) access to the actual data throughout the remaining of the program will suffer heavily because of cache misses.
Memory is being accessed randomly because the pointers still point to the unsorted data causing many many cache misses, which will render the program itself slow, although the sort was fast!!.
Multi-threaded qsort is a good idea in principle and easy to implement obviously because qsort itself is recursive. The thing is Multi-threaded qsort is actually just stealing CPU time from other cores that might be busy running other apps, this might slow
down other apps, which might not be ideal for servers. The thing researchers usually try to do is to do the improvement in the algorithm it self.
I Will try to look at your sorting code, lets see if I can compile it.

How can I create a Text-Input Field in BexAnalyzer for a Planning Function

Hello,
i want to create a pre calculation(contribution accounting) for Materials in BI-Integrated Planning. These Materials aren't in the master data. So I create a new Info Object for pre calculated materials with only a material-number as key and a text-description.
Now I want to write a Exit-Function, which creates new materials in these Info Object. The user should start this function in a planning application in BexAnalyzer. There the user should have the possibility to enter a text-description for the new material. How can I create such a Text-Field in BexAnalyzer and how can I read this text filed in a planning function (exit).
Thanks in advance

Hi Jürgen,
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The command range should be some 'hidden area' in your Excel sheet.
But may be you don't need this. Use a characteristic without master data. Then ensure that that the query uses the option 'key' as display. In new lines you can then enter the key, the system creates a SID on the fly (but the text table will not be updated). In this scenario you may take text also from the key. May be you can update the text table (online or in batch) by simply using function modules from function group RSNDI_MD (not released by SAP).
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Regards,
Gregor

Command to set modify Advanced Security Settings (Audit Settings for folders) on windows 2008

Hello,
We have requirement to modify Advanced Security Settings (Audit Settings for folders) on windows 2008. I am looking for a command which does this job.
I know, using group policies I can do this; in fact I had done this using group policies. However, I need to do this on number of servers which are not in domain. There are around 15 folders on which I need to enable Auditing; manual editing folder advanced
permissions is a cumbersome job. Hence, I am looking for a command line options.
I need to know how command can be utilised to enable Audit option on a folder. Please share a command which can do this; once I get the command, I will create a batch file for other necessary folders. (BTW, this is not a scripting question, I just need to
know the command hence, please do not re-direct me to scripting forum)
Manually through GUI, I am setting following.. snaps are given below
Thanks !

You can try using Auditpol.exe: http://technet.microsoft.com/en-us/library/cc731451%28v=ws.10%29.aspx
This
posting is provided "AS IS" with no warranties or guarantees , and confers no rights.
Microsoft
Student Partner 2010 / 2011
Microsoft
Certified Professional
Microsoft
Certified Systems Administrator: Security
Microsoft
Certified Systems Engineer: Security
Microsoft
Certified Technology Specialist: Windows Server 2008 Active Directory, Configuration
Microsoft
Certified Technology Specialist: Windows Server 2008 Network Infrastructure, Configuration
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Certified Technology Specialist: Windows Server 2008 Applications Infrastructure, Configuration
Microsoft
Certified Technology Specialist: Windows 7, Configuring
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Certified Technology Specialist: Designing and Providing Volume Licensing Solutions to Large Organizations
Microsoft Certified IT Professional: Enterprise Administrator
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Microsoft Certified Trainer
Thanks but I guess, auditpol ca be used only to manipulate system audit policies. how do I specify a folder and user in auditpol ? I could not find or understand how folder can be included with auditpol command line options.
Thanks !

Audition Equivalent for Soundbooth Equalize function?

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