Postgrad International Food Day

Another successful event was held on the 21st April 2016. A virtual reality product demonstration by BTR Evolution Sdn Bhd (http://www.virtalis.com/systems/activedesk/) and the Postgraduate International Food day. This is the day where students and supervisor expressing the phrase "Sharing is Caring"*. Thanks for sharing the food and for your continuous support.

Do you that the Salvation Army has had "sharing is caring" trademarked since 1950.

https://trademarks.justia.com/761/80/sharing-is-caring-76180417.html

VR Talk/Demo

VR Talk/Demo

Doa Recitation by Ammar Abu Znaid

Arab Rice (Lamb/Chicken)

Sharing is Caring

Bio-metrics and Face Recognition Distinguish Lecturer Program, Prof Jean Luc Dugelay, 20 Oct 2015, Kuala Lumpur

Title:  Introduction to Biometrics and Face Recognition

Speaker:  Prof. Jean-Luc Dugelay, EURECOM, France. (IEEE Fellow)

Date & time: 20th Oct 2015, 2.30pm 

Venue: Seminar Room 14-1, 14th Floor, Wisma R&D, University of Malaya - can be accessed by LRT Kelana Jaya (Kerinchi Station)

For more information: koksheik@um.edu.my

Abstract

Face is one of the most investigated biometrics. It includes several advantages. This biometric trait is used by humans themselves to recognize each others; there is neither need of contact nor cooperation from the user. FR is a very dynamic domain. Beyond classical face recognition from still images based on well established techniques (e.g. PCA/LDA), numerous on-going R&D works exist around face recognition. In this presentation, after an introduction on biometrics and in particular face recognition, we will present and discuss some of the aforementioned items illustrated by works performed at Eurecom Sophia Antipolis for several years.

Biography:

Jean-Luc Dugelay received his PhD in Information Technology from the University of Rennes in 1992. He then joined EURECOM in Sophia Antipolis, where he is now a Professor in the Department of Multimedia Communications. His current work focuses in the domain of multimedia image processing, in particular activities in security (image forensics, biometrics and video surveillance, mini drones), and facial image processing. He has authored or co-authored over 300 publications in journals and conference proceedings, 1 book on “3D Object Processing: Compression, Indexing and Watermarking” by Wiley, 2008, 5 book chapters and 3 international patents. His research group is involved in several national projects and European projects. Prof. Dugelay is a Fellow of the IEEE. He is currently the Regional Director-at-Large of IEEE SP R8 (Europe, Middle East and Africa). He is an elected member of the EURASIP Board of Governors. He is/was Associate Editor of several international journals, such as IEEE Transactions on Image Processing and IEEE Transactions on Multimedia; Founding Editor-in-Chief, EURASIP Journal on Image and Video Processing (SpringerOpen); Member, SPS Image, Video, and Multidimensional Signal Processing Technical Committee (2002-07), SPS Multimedia Technical Committee (1999-2003 and 2005-08), and SPS Information Forensics and Security Technical Committee (2010-12). 

Webpage:http://www.eurecom.fr/~dugelay

Why Journal Paper Gets Rejected?

Peter Thrower, PhD, Editor-in-Chief of International journal of the American Carbon Society, reveals the 8 top reasons so many manuscripts don’t make it to the peer review process. His thought can also be applied to other discipline. Here is the 'Eight reasons I rejected your article':

1. It fails the technical screening.
2. It does not fall within the Aims and Scope.
3. It's incomplete.
4. The procedures and/or analysis of the data is seen to be defective.
5. The conclusions cannot be justified on the basis of the rest of the paper.
6. It's is simply a small extension of a different paper, often from the same authors.
7. It's incomprehensible.
8. It's boring.

read more 

Meet the experts in New SoC FPGA Technologies, November 3, 2015, Shenzhen, China

There will be Altera® SoC Developers Forum(ASDF) in Shenzhen, China on November 3, 2015. The ASDF event gives you an edge in developing your next system design through in-depth technical content and workshops, alone with the opportunity to interact with industry leaders such as Arrow, ARM, Lauterbach, MathWorks, Terasic, WindRiver and more.

Why should you attend?

• Get insightful keynotes from Altera executives and industry leaders on the future of technology
• Get in-depth technical content with presentations from industry experts, and experience a hands-on software workshop
• View leading-edge technology demos from SoC FPGA technology partners

Chance to Win an Apple Watch

Online registration is now open until October 27. Click here to register for the event and secure your seat now!

Digital Fundamentals Lecture Notes

Engineers are responsible for truly understand how their designs work. What do you do when the real-world doesn't match the simulation? As they say in the Army, if the map doesn't match the terrain, trust the terrain.. Therefore, you should understand the analysis, even if the arithmetic was done by a computer. If you don't know how to do at least a reasonable approximation by hand, then how can you trust the result of the program? Learn the fundamental of Digital Logic Design as follow:  

• Number System: Representation and Code(2a)
• Number System: Representation and code (2b)
• Number System: Representation and code (2c)
• Hamming Code
• Boolean Algebra: Theorem and Boolean Function Law (3a)
• Boolean Algebra Calculator
• Boolean Algebra: Theorem and Boolean Function Law (3b)
• Function Simplification: Algebra manipulation and mapping method with don’t care state (4a)
• Function Simplification: Algebra manipulation and mapping method with don’t care state (4b)
• Basic logic gates (5)
• 7400 Series TTL IC
• Combinational circuit (6a)
•  XOR formula
•  Combinational circuit (6b) 
  •  4-bit Adder 
  •  M74HC238 3 to 8 Line Decoder 
• Combinational circuit (6c)
•  74AC32, 74ACT32 Quad 2-Input OR Gate 
• Latches and flip-flop (7a)
• Latches and flip-flop (7b)
• Crystal oscillator
• Sequential Circuit: Clock, counter, synchronous & asynchronous circuit, state diagram (8a)
• Sequential Circuit: Clock, counter, synchronous &asynchronous circuit, state diagram (8b)
• Sequential Circuit: Clock, counter, synchronous &asynchronous circuit, state diagram (8c) 
• Shift Register 

Seminar on Smart City Framework, 10 September 2015, Cyberjaya, KL

MCMC, in collaboration with MTSFB, is hosting a Seminar on Smart City Framework that will focus on  Malaysia's smart city landscape, international guidelines and standards framework available for smart city strategy, planning and development.  This seminar is the follow up to their successful Symposium on Empowering a Smart Digital Nation at KL Converge! 2015.

The seminar will be held on 10 September 2015 at Auditorium, MCMC Old Building, Cyberjaya. There will be 8 presentation sessions and a panel discussion. The tentative agenda for this seminar is as follows:

Time	Potential Topic
8.30	Registration
9.00	Welcoming Remark by Mr. Toh Swee Hoe MCMC Chief Officer, Digital Empowerment Sector
9.15	Official Opening by Dato’ Sri Dr Halim Shafie, MCMC Chairman
9.30	Smart Cities and Smart Communities – How to Make Them Work -      Boston Consulting Group (BCG)
10.00	Smart City Malaysia -      Huawei
10.30	COFFEE BREAK
11.00	Smart City Implementation – Requirements for Standards & Regulatory Input -      Telekom Malaysia (TM)
11.30	Smart City Services Enabled By Telecoms Operators' Digital Platforms -      Analysys Mason
12.00	Smarter Cities Analytics -      IBM Smarter Cities
12.30	NETWORKING LUNCH
2.00	ITU-T Activities on Smart City -      Dr Sang Ziqin, Vice Chairman ITU-T SG 20
2.30	IEEE Activities on Smart City -      IEEE Smart City Initiative
3.00	Smart Community Infrastructures - Principles and Requirements for Performance Metrics -      Mr. Isao Endou, Secretary ISO/TC 268/SC 1
3.30	Panel Discussion Moderator: MTFSB Panel members: BCG, ITU-T, IEEE, ISO
4.15	REFRESHMENT

This event is free to all participants from the industry, government agencies, regulatory bodies, academia, researchers and local authorities. Interested participants can register at http://www.eventbrite.com/e/seminar-on-smart-city-framework-tickets-18430432921 .

Hadoop Tutorial

To understand Hadoop, you have to understand two fundamental things about it. Imagine you had a file that was larger than your PC's capacity. You could not store that file, right? Hadoop lets you store files bigger than what can be stored on one particular node or server. So you can store very, very large files. It also lets you store many, many files.Mainstream business users don't need to know how Hadoop works.But they do need to understand that the constraints they once had on storing and processing data are removed when Hadoop is installed.the business can start thinking big again when it comes to data.There is less confusion than there was 12 months ago. Executives just know that it is a big data technology, and that is enough for them.

The second characteristic of Hadoop is its ability to process that data, or at least (provide) a framework for processing that data. That's called MapReduce. Moving data over a network can be very, very slow, especially for really large data sets. Imagine if you're opening a really, really big file on your laptop, it takes a long, long time. It takes much longer than if it's a short, tiny file.

Apache™ Hadoop® is an open source software project that enables distributed processing of large data sets across clusters of commodity servers. It is designed to scale up from a single server to thousands of machines, with very high degree of fault tolerance. Rather than relying on high-end hardware, the resiliency of these clusters comes from the software's ability to detect and handle failures at the application layer.

Hadoop makes it possible to run applications on systems with thousands of nodes involving thousands of terabytes. Its distributed file system facilitates rapid data transfer rates among nodes and allows the system to continue operating uninterrupted in case of a node failure. This approach lowers the risk of catastrophic system failure, even if a significant number of nodes become inoperative.

Hadoop was inspired by Google's MapReduce, a software framework in which an application is broken down into numerous small parts. Any of these parts (also called fragments or blocks) can be run on any node in the cluster. Doug Cutting, Hadoop's creator, named the framework after his child's stuffed toy elephant. The current Apache Hadoop ecosystem consists of the Hadoop kernel, MapReduce, the Hadoop distributed file system (HDFS) and a number of related projects such as Apache Hive, HBase and Zookeeper.

The Hadoop framework is used by major players including Google, Yahoo and IBM, largely for applications involving search engines and advertising. The preferred operating systems are Windows and Linux but Hadoop can also work with BSD and OS X.

Hadoop Video Tutorial from http://onlinetrainingcources.blogspot.in/

1. Hadoop Series Introduction

- The State of Data

- Hadoop

- Series Layout

2 Hadoop Technology Stack

- Hadoop Core

- Hadoop Projects

- Hadoop Incubator

- Stack Implementation

3 Hadoop Distributed File System HDFS

- HAFS Architecture

- HDFS Internals

- HDFS Interaction

4 Introduction to MapReduce

- MapReduce Architecture

- MapReduce Internals

- MapReduce Example

5 Installing Apache Hadoop Single Node

- Installation Overview

- Installing Hadoop

- Hadoop Daemons Stuff

6 Installing Apache Hadoop Multi Node

- Cluster Configurations

- Configuring Masters

- Configuring Slaves

- Cluster Stuff

7 Troubleshooting, Administering and Optimizing Hadoop

- Hadoop Troubleshooting

- Hadoop Administration

- Hadoop Optimization

8 Managing HDFS

- Data Data Data

- HDFS Interacton

- HDFS Management

- Upgrade Process

- Rack Ayareness

9 MapReduce Development

- Development overview

- Configuring IDE Projects

- Writing Testing Jobs

- Running Jobs Against Clusters

10 Introduction to Pig

- Pig Overview

- Pig vs SQL

- Pig Latin

- Installing PIG

11 Developing with Pig

- Loading storing

- Filter Transform

- Grouping Sorting

- Combining Splitting

- User Defined Function

- Debugging/Diagnostics

12 Introduction to Hive

- Hive Overview

- Hive QL-Overview

- Hive Installation

- Hive Example

13 Developing with Hive

- Creating Tables

- Loading Data

- Creating View

- Creating Indexes

14 Introduction to HBase

- HBase Overview

- HBase Architecture

- HBase Installation

- HBase Admin Test

15 Developing with HBase

- HBase Client Loading Overview

- Fully Distributed HBase Configuration

- Loading HBase

- HBase Data Access

16 Introduction to Zookeeper

- Zookeper Overview

- Zookeper Architecture

- Zookeper Installation

17 Introduction to Sqoop

- Sqoop Overview

- Sqoop Installation

- Importing Data

- Exporting Data

18 Local Hadoop Cloudera CDH VM

- Cloudera CDH Overview

- Getting Started with Cloudera CDH VM

- Cloudera CDH VM walkthrough

19 Cloud Hadoop Amazon EMR

- Amazon EMR Overview

- Loading S3

- Running EMR LOB Flows

20 Cloud Hadoop Microsoft HDInsight

- Microsof HDInsight Overview

- Provisioning An HDInsight Cluster

- Administering HDInsight Cluster Running Jobs