Fusion: The Succession Path

“Oracle Fusion an amalgamation”. Oracle fusion is an ERP application in development stage which integrates ‘Best in Class’ industry business processes. Oracle has an extensive product portfolio.

Oracle’s current product portfolio contains :

• Siebel CRM
• E-Business Suite
• PeopleSoft Enterprise
• JD Edwards Enterprise one

Fusion unites the best processes from Oracle’s existing product portfolio.Oracle’s each product masters in one of the functional area. For example, PeopleSoft’s Human Capital Management (HCM) and Student Administration (SA) modules are considered best in the market, similarly Siebel Customer Relationship Management (CRM) is considered best in the market. Fusion will contain HCM and SA from PeopleSoft and CRM from Siebel hence it is a combination of impeccable functionalities.

Integration: Fusion Application can be integrated with any application very easily as it uses Oracle Fusion Middleware based on Service Oriented Architecture (SOA). SOA uses defined protocols that describe how services pass and parse messages, using description meta-data. When I first read the definition of SOA I felt the same as you are feeling now, I thought it’s not in English however after reading  the example given below,you will feel a lot better.

Company X has implemented Fusion Finance and mySAP ERP Operations. So the accounts payable (AP) will be operated from Fusion Finance because it’s a finance module and purchasing will be operated from mySAP ERP Operations as it’s a SCM module.

Accounts Payable requires data from SCM regarding Vendors. As vendors are stored in the SCM but the Vendor information is required by finance also, For example, you need to send the payment of the goods you purchased then you require Vendor information like the Vendor address, name, bank account etc.  However this information is present in the SCM . In such cases both systems need to talk to each other, in our case the Fusion Finance and SAP SCM need to exchange data. If we don’t have SOA architecture then it’s not possible as the interfaces will be different for both technologies however with the SOA architecture two different systems can communicate with each other because SOA converts data into meta-data. Meta-Data is the data that any system can process.

See Also

---

CEO Talks: Future of Oracle’s existing products and Fusion.

http://www.youtube.com/watch?v=DQVOgFY5uMs

SOA Wikipedia :

http://en.wikipedia.org/wiki/Service-oriented_architecture

Release Date:

http://www.sdtimes.com/SearchResult/32896

 

Finding Optimal Threshold Value for a Binary Image using Adaptive Gaussian Method

This method is very useful in finding the optimum threshold value in a binary image where the intensity can be modeled as a Bimodal Histogram. The algorithm is very straight forward. You start with an ideal threshold value (128), divide the histogram into 2 parts based on this value, and then find the average intensities in the 2 parts of the histogram. The threshold value is the average of the 2 threshold values obtained for the 2 Histograms.

You keep on iterating until you find the same vaue consecutively.

Below is a simple openCV function written in C without using any of the standard openCV functions to implement this algorithm :

int find_threshold(IplImage* image)
{
int threshold_final;
int i,j;
int k = 256;
int t_initial = k/2;

int height = image->height;
int width =  image->width;
float new_t;

CvScalar s1,s2;

int intensity_temp1 = 0, intensity_temp2 = 0;

IplImage* temp1 = cvCreateImage(cvGetSize(image),IPL_DEPTH_8U,1);
IplImage* temp2 = cvCreateImage(cvGetSize(image),IPL_DEPTH_8U,1);

int size = (temp1->height)*(temp1->width);

uchar *data_input = image->imageData;
int data_temp1[size],data_temp2[size];
int p=0,q=0;

while (1)
{

for (i = 0; i < height; i++)
{
for (j = 0; j < width; j++)
{
if(data_input[i*(image->widthStep) + j*(image->nChannels)] < t_initial )
{
data_temp1[p] = data_input[i*(image->widthStep) + j*(image->nChannels)];
p++;
}
else
{
data_temp2[q] = data_input[i*(image->widthStep) + j*(image->nChannels)];
q++;
}
}
}
for (i = 0;i<p;i++)
{
intensity_temp1 = intensity_temp1 + data_temp1[i];
}

for (i = 0;i<q;i++)
{
intensity_temp2 = intensity_temp2 + data_temp2[i];
}

float average1 = intensity_temp1/p;
float average2 = intensity_temp2/q;

intensity_temp1 = 0;
intensity_temp2 = 0;
p=0;
q=0;

//calculate new value of threhold as the average of these 2 means
// T = (mu1 + mu2)/2
new_t = (average1 + average2)/2;
threshold_final = (int)new_t;

if (threshold_final == t_initial)
break;
else
t_initial = threshold_final;

}

return(threshold_final);
}

 

OpenCV Wiki

Here is the link for the Wiki Page for OpenCV.

Happy Image Processing !!!

http://opencv.willowgarage.com/wiki/

 

Some Basic OpenCV Functions

Here is a description of some of the most fundamental and easy to use functions in openCV.

This should be a good starting point for beginners ….

Function CvLoadImage – Used to load an image data into an IplImage array

cvLoadImage(const char* fileName, int iscolor)

file name – Name of the image to load
iscolor -  number of channels of the image
If  iscolor > 0 the image loaded will always have 3 channels
If iscolor < 0 the image will be loaded with the number of channels based on the file
If iscolor = 0 the image will always have 1 channel.

Channel : A channel is the number of numbers used to specify a pixel value…
In RGB say each pixel’s color is specified by it’s R, G, B values. Hence, channels = 3.

IplImage *grayScaleImage;

//Create the image…
grayScaleImage = cvCreateImage(cvSize(320,240),8,1);

Function cvCreateImage – Used to create and allocate image data

cvCreateImage(CvSize size, int bitDepth, int channels);

CvSize is a OpenCV basic structure.
typedef struct CvSize
{
int width;
int height;
}

Size – size of the Image
bitDepth – the bitDepth of the image
Bit Depth:  Bit Depth is the number of bits used to store information about an image.
Alternately for the bitDepth one can also use the OpenCV constants like IPL_DEPTH_8U, IPL_DEPTH_16S etc…
channels – Number of channels in the image

//Convert the original image to grayscale
cvCvtColor(originalImage, grayScaleImage, CV_BGR2GRAY);

Function cvCvtColor – Used to convert Images in one color space to another

cvCvtColor(const CvArr* SourceImage, const cvArr* DestinationImage, int code)

“code” – color conversion operation to be performed.
There are numerous conversion operations listed in OpenCV. They include conversion to and from RGB, YCrCb, HSV and Bayer.
CvArr is just a basic structure in OpenCV. It is used only in functions to specify that the parameter accepts more than one kind of array (there are many types of arrays in OpenCV and IplImage is one such type).

// Edge detection
IplImage * edgeImage; //Declare an image for holding the results of the edge detection perfomed on the grayScaleImage.
edgeImage = cvCreateImage(cvSize(320,240), 8, 1); //Create Image

//Perform edge detection using the canny edge detector
cvCanny(grayScaleImage, edgeImage, 0.5, 0.5, 3);

Function cvCanny – Used to perform edge detection with the Canny Operator

cvCanny(const cvArr *Image1, const cvArr *Image2, double threshold1, double threshold2, int kernel_size)

Image1 – Original Image on which edge detection is to be performed.
Image2 – The results of the edge detected image.
threshold1 and threshold2 – Thresholds for the canny detector.
kernel_size – Size of the sobel kernel – Value of 3 gives a 3 X 3 kernel.

//If all goes well we need to save the results of the edge detection.
cvSaveImage(“Resultant.jpg”,edgeImage);

Function cvSaveImage – Used to save an IplImage as a Image

cvSaveImage(const char*  FileName, const CvArr*   Image);

FileName – Name of the save file
Image  – Image to be saved

//Finally release the memory for the images that were created
cvReleaseImage(&edgeImage);
cvReleaseImage(&grayScaleImage);

Function cvReleaseImage – Used to release the image data

cvReleaseImage(IplImage **Image)

Image  – Image to be released

 

Serena Williams Cruises into Round 3 – French Open

Serena Williams took another step towards capturing her 11^th career Grand Slam singles title on Thursday after breezing past Virginia Ruano Pascual in straight sets 6-2, 6-0 at Roland Garros.

Serena struggled in her opening match against Klara Zakopalova but showed no signs of difficulty on Thursday as she needed just 57 minutes to drop Ruano Pascual. Williams collected 23 winners and broke Ruano Pascual’s serve on five of eight opportunities while never having her serve broke.

Williams has achieved a career Grand Slam with four titles at the Australian Open (2003, 2005, 2007, 2009), three titles at the U.S. Open (1999, 2002, 2008), two at Wimbledon (2002, 2003) and a French Open title (2002).

 

Swine Flu Distribution Update

Here is a map of the world showing the distribution of Swine Flu cases and associated deaths.

 

Swine flu boy forces Eton closure

Public school Eton will close for a week after a pupil tested positive for swine flu, a school spokesman has said.

The Berkshire school, which was attended by princes William and Harry, was informed on Wednesday that a 13-year-old boy had tested positive.

Health authorities advised the school to shut until 7 June.

It comes after health officials announced a further 17 people in the UK were diagnosed with the virus, taking the total number of cases to 203.

Fourteen of the new cases – 13 children and one adult – are part of an outbreak now totalling 64 cases linked to Welford Primary School in Birmingham.

Welford is carrying out a “deep clean” while closed for half-term.

 

Source : BBC News

 

British Hostage families’ agony goes on

The “Baghdad Five” case is the UK’s longest-running hostage crisis since Terry Waite and John McCarthy were held in Lebanon a generation ago.

 

http://news.bbc.co.uk/2/hi/uk_news/8071167.stm

 

Pakistani Taliban claim bombing

The Pakistani Taliban has claimed responsibility for a bomb attack in Lahore which killed at least 26 people.

A deputy to Taliban leader Baitullah Mehsud told the BBC over telephone that the attack was in response to the army’s continuing operation in Swat.

The caller, who identified himself as Hakimullah Mehsud, threatened similar attacks in other cities of Pakistan.

“Residents should leave the cities of Islamabad, Rawalpindi, Lahore and Multan,” he said.

More than 200 people were also injured in Wednesday’s attack.

 

Source : BBC News

 

Wow..worth seeing again & again for a picture of joy & passion unleashed!