Presentation on Decision Making at Faculty of Pharmacy, Hamdard University

I have presented on, "Decision Making," at Faculty of Pharmacy, Harmdard University, Karachi Campus on Monday 09 October 2017. In the session, I brief pharmacy students about creative thinking and decision making process with the help of numerous examples.

[PRESENTATION LINK]

Let's Make Better Posters!

The session entitled, "Let's Make Better Posters!," was held at HIET Auditorium, Hamdard University, Karachi Campus. The summary of tips delivered to students is as follows.

• Avoid too much information
• Use bullets and pictures
• Ensure approx. 40% poster is blank
• Use color wisely
• Ensure visibility for readers from 6 feet
• Use standard fonts 
• Simplify figures

[PRESENTATION LINK]

A Brief Introduction of Fuzzy Logic and Systems

As the title of post suggests, this presentation is about introduction of fuzzy logic and fuzzy systems. The resource used to create these presentation is mainly the book, Fuzzy Logic with Engineering Applications (3rd edition) by Timothy J. Ross. This presentation is delivered on first session of two days workshop held at Hamdard University  on 12, 14 September 2017 in collaboration with Pakistan Engineering Council.

[PRESENTATION LINK]

The topics covered in this presentation delivered are as follows.

Imprecision

Uncertainty and Information

Probability and Fuzzy

Classical and Fuzzy Sets

Fuzzy Logic

Fuzzy Systems

The second session was delivered by Engr. Ghulam-e-Mustafa Abro. It was hands-on session to use Simulink & MATLAB for implementation of fuzzy control systems. The related presentations are in the following links.

[PRESENTATION_1 LINK] [PRESENTATION_2 LINK]

Lotfi A. Zadeh who introduced Fuzzy concepts died on September 6, 2017.

Ponder Alliance 3rd Session at NED UET - Focus Group 3 Guest Speaker Session Presentation

Ponder Alliance has successfully organized 3rd session at NED UET Karachi. I have presented summary of discussion held in a previous session related to focus group 3 Guest Speaker Session. The presentation main points are as follows.

• Guest speaker session observations 
• Identified reasons and possible solutions
• Proposed action plan

Further details in presentation slides.

[PRESENTATION LINK]

Histogram Equalization Implemented on MATLAB & Simulink

Today was finally paid off with the Simulink model that generated histogram equalized output. I started with the example model (Fig. 1). It appeared after typing ex_vision_find_histogram in command line of MATLAB 2016b.

Fig. 1 

Conversion to gray scale version was really time-consuming. After a couple of mistakes and few hours, I decided to do it as in Fig. 2. 

Fig. 2

The real challenge was to set 'Sample time' to 0.2 for 'Image From File' block. This information was not found in initial example in Fig. 1. Reading a couple of articles after Google search on error message was quite helpful to do error-and-trial that really worked. The input color image and gray scale image are in Fig. 3 and Fig. 4, respectively.

Fig. 3

Fig. 4

Histograms are shown in Fig. 5 and equalized image in Fig. 6. 

Fig. 5 Need to right click inside scope and select 'Autoscale'. 

Fig. 6

Do not forget errors that appeared in MATLAB command window, see Fig. 7. 

Fig. 7

Finally, the error which took most of time. It really deserve a treat -- regenerated in Fig. 8 to share learning of the day! How to fix? See Fig. 9. 

Fig. 8

Fig. 9

How I figured it out? Really! Fig. 10 explains it. 

Fig. 10

Experience on Travelling Two Way Road to Hamdard University

The video below adds new experience to an earlier adventurous version. This video is dated 30 August 2017 whereas the earlier adventurous video was taken on 18 April 2015.

[Video Link]

[Link to the Older Post] A Real 4D Motion Ride Experience

How to read DICOM in R with oro.dicom?

The steps are as follows (require Internet connectivity).

• Right-click at R icon and select Run as Administrator.
• From Packages drop down menu select Install package(s)...
• Select oro.dicom, oro.nifti, and oro.pet from packages and press OK button
• Wait installation to finish successfully

Screenshots of steps are as follows. 

The following lines appear after successful installation.

package ‘Rcpp’ successfully unpacked and MD5 sums checked

package ‘bitops’ successfully unpacked and MD5 sums checked

package ‘abind’ successfully unpacked and MD5 sums checked

package ‘RNifti’ successfully unpacked and MD5 sums checked

package ‘oro.dicom’ successfully unpacked and MD5 sums checked

package ‘oro.nifti’ successfully unpacked and MD5 sums checked

package ‘oro.pet’ successfully unpacked and MD5 sums checked

Few commands are executed in R from Using oro.dicom PDF file from website https://cran.r-project.org/web/packages/oro.dicom/index.html. The Abdo.dcm file is in r-release oro.dicom Windows binaries zip archive.  

getwd()

library(oro.dicom)

fname <- system.file(file.path("dcm", "Abdo.dcm"), package="oro.dicom")

abdo <- readDICOMFile(fname)

names(abdo)

head(abdo$hdr)

tail(abdo$hdr)

extractHeader(abdo$hdr, "BitsAllocated")

extractHeader(abdo$hdr, "Rows")

extractHeader(abdo$hdr, "Columns")

image(t(abdo$img), col=grey(0:64/64), axes=FALSE, xlab="", ylab="")

The output of last command is pasted below.

I have encountered error when working with .dcm images provided in MATLAB. Following error message appears on execution of commands in R.

> fname <- system.file(file.path("dcm", "knee1.dcm"), package="oro.dicom")

> abdo <- readDICOMFile(fname)

Error in readBin(fname, "raw", n = as.integer(fsize), endian = endian) : 

  can only read from a binary connection 

Still working on...

Citation from source:

Brandon Whitcher, Volker J. Schmid, Andrew Thornton (2011). Working with the DICOM and NIfTI Data Standards in R. Journal of Statistical Software, 44(6), 1-28. URL http://www.jstatsoft.org/v44/i06/.

A faculty training session on service excellence was held at Hamdard University

A faculty training session on service excellence was held at Hamdard Institute of Engineering & Technology, Hamdard University, Karachi Campus on 20 April 2017. The main points covered during session are as follows. [PRESENTATION]

1. What is service excellence and why it is important?
2. Basic concepts and fundamentals
3. Learn 8-keys of excellence:
• Integrity
• Failure leads to success
• Speak with good purpose
• This is it!
• Commitment
• Ownership
• Flexibility
• Balance