Friday, 23 November 2018

Engineers are Potential Terrorists?

Ethics in Engineering
Image Source: www.tutorialspoint.com

After 9-11 tragedy, Muslims have always been associated with terrorism especially in the western media. Their Islamic faith has been put to blame even though there are also cases involving terrorists from other religions. But another pattern also emerged instead of religion factor: most of them have science and engineering educational background.

According to research by Gambetta, a renowned sociologist at the European University Institute in Italy, and Steffen Hertog, an associate professor at the London School of Economics, more than twice as many members of violent Islamist organisations have engineering degrees as have degrees in Islamic studies. Another possible factor especially for those who hail from Middle Eastern and North African countries as well as from migrant communities, people with engineering backgrounds encounter tougher experience in getting stable jobs due to economic and political situations [1].

Based on studies conducted on more than 4,000 political radicals operating across the Muslim world and in the West in reference [2], engineers have been found to be dominating every jihadist group worldwide. Sharing the same observation as [1], the surplus of graduates in countries compared to small demands of labour could lead to frustration.

Some of the examples of terrorists with engineering background such as in February 2010, Joseph Andrew Stack, a software engineer, crashed his plane into I.R.S. offices in Austin, Tex. The following month, John Patrick Bedell, an engineering grad student, opened fire at an entrance to the Pentagon. In early May 2010, Faisal Shahzad (bachelor of science in computer science and engineering) was arrested at Kennedy Airport for a failed attempt to set off a bomb in Times Square. In the same month, Faiz Mohammad, a civil engineer, was caught at Karachi’s airport with batteries and an electrical circuit hidden in his shoes. And list goes on for the coming years, not confined to Middle Easterners and Muslims. Ganbetta and Hertog pointed out the possible reason is that: engineers tend to have combined emotional conservatism and intellectual habits [3].

On the other hand, Martin Rose, the British Council’s senior consultant on the Middle East and North Africa, concluded that science education fails to inculcate critical thinking the way arts teaching do. Typically their minds only search for right and wrong namely in binary. Therefore the engineering students are more susceptible to be recruited by the terrorists [4].

However, most works mentioned above were done by non-Muslims. We believe that the Muslims themselves should play the role to revise the methods of teaching Islamic knowledge to curb the problem of terrorism. Though the contents are adequate, the problem lies in internalizing the true Islamic teachings. Rather than blindly memorising and totally accepting without intellectual discourse, the Muslim students should be allowed to question and discuss so that logical reasoning could take place in their life decision makings. Incorporating Islamic values in the engineering curriculum could also be beneficial for them to balance between the worldly and religious knowledge, thus reducing the inclination towards radicalism.

References

Written by Nur Idawati Md Enzai

Monday, 12 November 2018

Bored of using whatsapp? Get A Pushbullet!


If Whatsapp can offer you the best chat app ever, then so can Pushbullet! Whatsapp may have amazing features, tips and tricks you could possibly want but believe me, Pushbullet has its own extension of features you might not know about.




You cannot make a comparison between nurse and engineer, but as for Whatsapp and Pushbullet, the comparison can get really interesting. No line needs to be drawn. Both are free apps. Just download it and enjoy those awesome features! Experience it yourself!


Reference:


Norizan Ahmed
Nurhaffizah Hassan

Sunday, 11 November 2018

CLINIC DAY FOR POWER ELECTRONIC COURSE (EPO359).


Oleh: Haslizamri Md Shariff, Mohd Azri Abdul Razak, Mohd Izzat Mod Ariffin.

Pada 26 Oktober 2018, Clinic Day For Power Electronic (EPO359) telah diadakan bertempat di Dewan Cemara UITM Kampus Dungun. Semua pelajar EE yang mengambil kursus ini pada semester semasa diwajibkan hadir. Kehadiran sangat baik dimana 90 peratus kehadiran pelajar telah dicatatkan.

Clinic Day ini telah diketuai oleh Encik Azri dan dibantu oleh dua orang fasilitator iaitu Encik Haslizamri dan Encik Mohd Izzat. Sesi Clinic Day For Power Electronic telah bermula seawal jam 8.30 pagi. Pelajar hadir dan diberi taklimat oleh Koordinator Kursus iaiitu Encik Mohd Azri bin Abd Razak. Seterusnya, pelajar dipecahkan kepada 10 kumpulan bagi melaksanakan Latihan Dalam Kumpulan (LDK). Soalan-soalanyang  berlainan bagi bab 1, 2 dan 3 diberi kepada setiap kumpulan. Seterusnya, pelajar dikehendaki berbincang didalam kumpulan dan semua soalan tersebut akan disemak oleh fasilitator yang bertugas.

Soalan-soalan yang telah disemak dan disahkan betul akan dikumpulkan bagi tujuan perkongsian kepada semua pelajar. Semasa sesi ini pelajar yang dikenalpasti mampu membantu rakan sebaya dalam menguasai kursus EPO359, telah dipilih dan diletakkan didalam kumpulan yang ditetapkan. Proses perbincangan dan LDK sangat berkesan dimana pelajar yang lemah dibantu oleh rakan sebaya dan juga fasilitator pada hari tersebut.

Program Clinic Day 2 For Power Electronic ini akan dilaksanakan lagi pada 30 November 2018. Diharap, program seterusnya dapat memberi impak yang signifikan kepada pelajar dalam menguasai kursus ini.

Saturday, 3 November 2018

International EUREKA Innovation Exhibition (i-EIE) 2018





Programme   :    International EUREKA Innovation Exhibition (i-EIE) 2018
Date               :    30 - 31 October 2018         
Venue           :    Mutipurpose Hall, Universiti Kuala Lumpur Malaysian Spanish Institute                                   (UniKL MSI) Kulim Hi-Tech, Kedah
Organizer     :    Universiti Kuala Lumpur Malaysian Spanish Institute (UniKL MSI)
Student Programme Leader:     Mohamad Azwan bin Hamezah
Advisor/Ascort Lecturer       :    Mrs Siti Sara Binti Rais

Participation in this competition is from various institutions including polytechnics, community colleges, skills institutions, UiTM various campuses, IPTAs and IPTS as well as international participation from Indonesia. There are two (2) main categories contested, namely school level and professional/higher education level. The school-level competed on 29/10/2018 while professional and higher education levels on 30/10/2018. A total of 200 projects participated at i-EIE 2018 comprising professional and tertiary education. In the category of professional and higher education, there are four categories of awards, namely Chapter A, covering the areas of Electricity & Electronic, ICT, Multimedia and Telecommunications, Chapter B Manufacturing Process, Machines & Equipment, Automotive, Transportation & Industrial Design, Chapter C Environmental Protection, Renewable Energy, Biomedical Engineering and Chapter D Others (ex: Building, Construction & Materials, Social Science, Quality and Continuous Improvement, Educational Teaching & Training, etc.). List of the winners can be viewed at the website i-EIE 2018; https://www.msi.unikl.edu.my/eureka/.

A total of two (2) projects supervised by a supervisor participated in i-EIE 2018 where both projects were merged and registered in the category of Chapter A. Table 1 is a list of participants along with the title of the project and the project being won.

Table 1

Team members
FYP Title
Competition Tittle
Award  / Medal
Supervisors
Tun Khairin Aiman bin Tun Mohd Khairi
Nur Syafikah Najiha binti Mohd Hanafi
Nur Syamim Athirah binti Zulkifli

IoT-based switching system
Hybrid-Powered IoT-based Switching System
Silver


Main Sv: Mrs Siti Sara Rais

Co-supervisor: Ms Nur Idawati Md Enzai

Mohamad Azwan Bin Hamezah
Ahmad Fakhri Hakim B Mat Daud
Mohd Fahmi Bin Mohd Noor
  
Alternative power supply

Prepared by:
Siti Sara Rais

Friday, 2 November 2018

International Creative Design Competition (ICDC) 2018

Tajuk Program/Projek       :     International Creative Design Competition (ICDC) 2018
Tarikh Perlaksanaan          :    29 dan 30 Oktober 2018                
Tempat                         :   Dewan Seri Iskandar, Universiti Teknologi MARA Cawangan Perak Kampus Seri Iskandar 
Penganjur                           :     Persatuan Alumni UiTM Cawangan Perak
Ketua Program Pelajar      :     Syahmi Lukman Bin Saiffuddin
Penasihat                            :     Puan Siti Sara Binti Rais
Pensyarah Pengiring         :     Encik Mohamad Taib Bin Miskon




Sebanyak 4 projek yang telah dibimbing oleh dua orang penyelia telah dipertandingkan di ICDC 2018. Jadual 1 adalah senarai peserta beserta tajuk projek dan projek yang dimenangi. Penyertaan pertandingan ini disertai daripada pelbagai institusi termasuk politeknik, kolej komuniti dan UiTM pelbagai kampus. Terdapat tiga (3) kategori yang dipertandingkan iaitu Kategori A  Professional Designer, Kategori B Young Designer dan Kategori C Junior Inventer di mana bagi kategori A dan B mempunyai tiga (3) tema berbeza iaitu Art and Design, Computing and IT dan Built Environment. Sebanyak 96 pasukan yang bertanding bagi semua kategori. e-abstract boleh dilayari melalui https://2018icdc.wixsite.com/icdc2018/e-abstract.

Jadual 1
Nama peserta (pasukan)
Tajuk
Pingat / Anugerah 
Penyelia
Muhamad Ikhwan Bin Rosli (2016638496)
Muhamad Azrin Bin Zulkifli (2016494024)
Fahmi Null Aiman Bin Zurkanian (2016638432)

IoT Locking Door
Silver


  
Nuraiza Binti Ismail
 Syahmi Lukman Bin Saiffuddin (2016493768)
Syed Mohammad Shahrul Fikri Bin Syed Mohd (2016638518)
  
Waving Sensoring Dustbin
Gold
Muhammad Syafiq Bin Rosle (2016638724)
Muhammad Haziq Bin Hasry  (2016493468)
Amar Danial Bin Adlan Hidayah (2016638186)
MIPO - Multi Integrated Voice Controlled Power Outlet
Bronze
Mohamad Taib Miskon
Muhammad Haziq bin Nor Azli (2016493798)
Muhammad Haziq bin Azhar (2016638732)
Muhammad Amirun Shahmi bin Roshdi (2016493544)
Lighting Fixture with Customizes Automation Control
Gold
Best of the best young designer – diamond award

Disediakan oleh:
Siti Sara binti Rais

Sunday, 28 October 2018

Flavors of Machine Learning

Machine Learning in Marketing
image source: www.ie.edu


Machine learning is a part of artificial intelligence and also known as a method to study the data. It relates to the development of algorithms or computer systems with the ability to automatically study from data, identify pattern and predict the outcomes without or with minimal intervention from human. Machine learning covers a wide range of applications in the field that deal with massive quantities of data.
There are four basic steps to perform a machine learning task. It starts with data collection at which the raw data can be in the form of image, sound, or any text files. Some application such in biometric may require specific acquisition device to capture finger vein images. The second step is data preparation to determine or select the data with quality. Raw data may contain outliers or noise and even missing information. Therefore, it is important to fix this issue. Specific technique or algorithm is employed in this stage to extract useful informations from the raw data. For an example, the Principle Component Analysis is a common technique to extract important features from image [1].
The next step is choosing appropriate algorithm that works with data. Over the years, researchers have been developed algorithms for specific types of data. Some algorithms are suitable for image and others are well suited for text-based type. In this step, the data is divided into two blocks; training and testing. The training set will be the majority of set and it is used to build a model. Meanwhile, the testing will be used to evaluate model’s performance. In general, machine learning algorithms are categorized as supervised and unsupervised. Supervised technique makes prediction of output by learning the labeled input data [2]. On the other hand, all data in unsupervised technique are unlabeled and the algorithm studies the structure of data to predict the output. Finally, the model evaluation is to measure the performance of the trained model with the introduction of testing set. A number of criteria can be used to evaluate the strength and weakness of the model such as storage reduction, noise tolerance, generalization accuracy and time requirements [3].

Reference :
[1]      M. S. Mohd Asaari, S. a. Suandi, and B. A. Rosdi, “Fusion of Band Limited Phase Only Correlation and Width Centroid Contour Distance for finger based biometrics,” Expert Syst. Appl., vol. 41, no. 7, pp. 3367–3382, Jun. 2014.
[2]      J. S. Sánchez, R. Barandela, A. I. Marqués, R. Alejo, and J. Badenas, “Analysis of new techniques to obtain quality training sets,” Pattern Recognit. Lett., vol. 24, no. 7, pp. 1015–1022, 2003.
[3]      F. Herrera, “Prototype Selection for Nearest Neighbor Classification : Taxonomy and Empirical Study,” vol. 34, no. 3, pp. 417–435, 2012.
By: Nordiana Mukahar


Tuesday, 11 September 2018

The Revised version of IPv4 Subnetting


By referring to EE Tech News volume 9 December 2015 in page 3 or the link http://eetechnews.blogspot.com/2015/11/ipv4-subnetting.html, the revised version of the rules of borrowing bits from host portion to create subnet ID is between 1 bit to the maximum host bit. It means that if we borrow the host portion in Class A, the maximum bit is 24 bit while class B and C are 16 and 8 bit respectively. If the maximum host portion is borrowed to create subnetting, there is no host at all. The revised version is implemented in order to fully utilise the IPv4.
IPv4 size is 32-bit and it is represented as X.X.X.X which X comprises 8-bit (1 octet). In Cisco examinations, you are not allowed to use the calculator. Thus, it is important for you to remember the value of each of the binary-to-decimal conversion and the IPv4 classes. Table 1 shows the value that you should remember. Table 2 shows the usage of IPv4 including the reserved IP address. Multicast IP address such as 224.0.0.5 is used for server OSPF for the Whatsapp Group. Class E IPv4 is for research purposes which mostly used by USA universities.

Table 1

Binary in 1 octet
1
1
1
1
1
1
1
1

27
26
25
24
23
22
21
20

128
64
32
16
8
4
2
1
IPv4 classes
A
00000000
01111111
B
10000000
10111111
C
11000000
11011111
D
11100000
11101111
E
11110000
11111111
First octec for final classes
128
192
224
240
248
252
254
255
Range of Use
1-126
128-191
192-223
224-239







Table 2
A
B
C
D
E
1.0.0.0 => 126.255.255.255
128.0.0.0 => 191.255.255.255
192.0.0.0 => 223.255.255.255
224.0.0.0 => 239.255.255.255
240.0.0.0 => 254.255.255.255
Internet
Multicast
Research purposes





10.0.0.0 =>10.255.255.255
172.16.0.0 => 172.31.255.255
192.168.0.0 => 192.168.255.255


Private addressing







Reserve IP Address
127.0.0.0 => 127.255.255.255




Reserve for loopback testing









0.0.0.0 => 0.255.255.255




Default route and wildcart mask










169.24.0.0 => 169.254.255.255




APIPA Automated Private IP Address












255.0.0.0 => 255.255.255.255




Broadcast and Subnet mask

Written by Siti Sara Rais

Source: CCNAx training materials at UiTMCTKD on 8 August 2016 - 12 August 2016.