The Applied Scientific Research Fund (ASRF) promotes applied science and engineering projects at universities in Jordan. Winners have come from Yarmouk University, German Jordanian University, Hashemite University, and Jordan University of Science and Technology. Participation has increased from 10 applications to 10 funded projects. One funded project presented on mechatronics from Hashemite University about enhancing query efficiency in information retrieval systems using bigram term coding. This reduces storage and CPU usage compared to standard and Huffman coding indexes. Another presented on developing a noninvasive cholesterol sensor using a fuzzy neural network and data collection at Jordan University of Science and Technology.

1. University Students Competition 2011

2. • Applied Scientific Research Fund (ASRF) is a non-
government, non-profit organization created by
Samih Darwazah, founder of Hikma
Pharmaceuticals, to promote the development of
applied science and engineering ideas.
• Our main target investigators are colleges and
universities in the fields of medicine,
engineering, natural sciences, technology and
others.

3.  Winners from:
◦ Yarmouk University
◦ German Jordanian University
◦ Hashemite University
◦ Jordan University for Science and Technology
Participation
10
10
8 5
6
4
2
0
Number of applications Number of funded
projects

4. Project Team
Haneen Abu Al-Rob
Islam Abu Awad
Aseel Asa’ad
Wafa’a Khudruj
Supervisor
Dr. Mohammad Salah
Mechatronics Engineering Departement
Hashemite University

7. (BGIT coding team)
Enhancing Query Retrieval Efficiency Using
Bigram Based Index Term Coding
Student: Ameen Aljedady
Supervisor: Dr. Izzat Alsmadi
Yarmouk University

8.  Information Retrieval Systems (IRS)s provide
searching capabilities for different systems.
 IRS mainly uses indexes to speed up the search
process. (term {Inverted list} i.e. Football {25, 2, 5, 12})
 This project aims to enhance the efficiency of
query retrieval in IRSs By reducing the needed
resources (memory, storage and CPU-time).
 This is done by reducing the number of symbols
that represent the terms in the index.
 Index terms here are represented by numbers
resulted from encoding terms, instead of
characters.

9. Integer Integer
#compariso #compariso
representati representati #comparison
Query Length n n
on on Using Standard
Huffman BGIT
Using BGIT Huffman
‫)5( البحث‬ 24-148-14 235-89-147 3 6 5 4
‫)3( ضغط‬ 114-7-64 56-75-32 3 5 4 5
‫)5( فهارس‬ 135-5-24 192-253-128 3 5 4 3
‫)6( محركات‬ 169-5-35-12 172-246-111-96 4 8 6 6
‫)4( يبحث‬ 232-148-14 141-102-76 3 5 3 4
‫)6( يتناول‬ 232-203-118 139-79-100 3 9 5 6
 The reduction of size is 69.5% for Unicode characters with
34.5 % reduction of the number of symbols.
 The reduction in the number of comparisons for Huffman is
28.9% and for BGIT is 26.3% using Binary Search.

10.  Encoding index terms showed:
◦ Good reduction on size (Storage & memory) as well as transfer time.
◦ Significant reduction in number of comparisons (CPU-time).
 Although the reduction of size in BGIT coding is expected to
be the same as our previous study using Huffman, but the
main advantages of using BGIT are:
◦ Fixed-length coding is less complex and easier to decode.
◦ Less time to deploy because, alphabetically ordered terms were
represented by ascending ordered integers. (Less reorder overhead).
 Standard index that uses X amount of resources to process
queries will use only 61% and 66% of X in encoded index
using Huffman and BGIT coding , respectively.
 Encoded index using Huffman and BGIT will allow scaling-
up by 64% and 52%, respectively without investing in new
resources.

11. Diagnostic value of combined CRP and
WBC with Alvarado Score of Appendicitis
(CWAA)
Supervisor: Dr. Naser Hammuri
Team:
Abdul Rahman al Dajani
Dua’a Zandaki
Elias Ahmad Yarvas
Jana Zabalawi

12. -surgical operations
Alvarado Score
-admissions &
-resources
referrals
-Money
-effort
>=7 : ↑probability of IMP.
app.tis PROBLE
M
5-6 : EQUIVOCAL
<=4 : highly unlikely

13. Here comes our idea…
Alvarado Score
200 After
?
patients expected
now results
C Reactive White Blood
Protein Cells 46200
JD
70 000
JD
Combined elevation of CRP and
WBC has high specificity for
appendicitis

14. Department of Mechatronics Enginering
Jo-Car 2
Intelligent Ground Vehicle
Student Team:
Hudhaifa Jasim
Rakan Abu-Shanab
Mahmood Shubbak
Faculty Advisor:
Dr. Nathir Rawashdeh
Also funded by:

15. Previous Experience
Jo-Car 1
 Participating at IGVC 2011
Michigan, US.
 First team from the Middle
East at IGVC.
 JoCar rank was 21 out of 56.
 Teams were from US, Japan,
Canada, India, and Jordan.

16. Jo-Car 2 Targets
 Better mechanical and electrical
Design.
 Better Artificial Intelligence Algorithm.
 Participating at SOFIX 2012
 Participating at IGVC 2012

17. Noninvasive Cholesterol
Sensor
Supervisor
Dr. Mashhour Bni A’amer
Students
Ahmed Sa’ad Mohammed Qaddomi Ahmed Qassim
Jordan University of Science and Technology
Biomedical Engineering

18. Collect Fuzzy Neural
Data Network
Non-Invasive
Design and
Cholesterol
Fabrication
Sensor

20.  Visit www.asrf.jo
 Complete the pre-proposal online and send it
 Or contact us at
◦ info@asrf.jo