Monthly Archives: January 2016

IEEE Malaysia Computer Chapter: Notice of 2016 Annual General Meeting

Dear IEEE Fellow Members, Senior Members, Members and Graduate Student Members,

 

Please be informed that the 2016 Annual General Meeting of IEEE Malaysia Computer Chapter is as scheduled below.

 

Date:     16 January 2016 (Saturday)
Time:     12.00 pm
Venue:   Best Western Hotel i-City, Shah Alam, Selangor.( http://www.bestwestern-icity.my/location.htm)

 

Program:

 

12.00pm  Registration and LUNCH (door gift will be given to the first 50 attendees)
2.30pm   IEEE Malaysia Computer Chapter AGM
4.30pm   Adjourn

 

The IEEE Malaysia Computer Chapter AGM Agenda:

  1. Opening address by 2015 Chapter Chair
  2. To accept the minutes of the 2015 Annual General Meeting
  3. 2015 Chapter activities report by Secretary
  4. 2015 Treasurer’s Report and Accounts for 2015 Session
  5. Dissolution of Committee for 2015 Session
  6. Election of Committee for 2016 Session and to appoint an auditor
  7. Address by the 2016 IEEE Malaysia Section Chair
  8. Any other business

 

For nomination of IEEE Malaysia Computer Chapter Executive Committee 2016, please use the attached file or download IEEE_Computer AGM Notice and Nomination Form. All nomination shall be submitted latest by 15 January 2016 (submission via email is acceptable).

 

This notice is also accessible through our website: http://computer.ieeemy.org/home/?p=450

IKLAN JAWATAN KOSONG SIRI 1/2016 UTM KUALA LUMPUR

UTM memerlukan individu yang dinamik, inovatif dan bercita-cita tinggi untuk bersama-sama menerokai teknologi baru dalam usaha merealisasikan Wawasan Universiti untuk Wawasan 2020.
Selaras dengan hasrat ini, calon-calon yang berkelayakan adalah dipelawa untuk mengisi kekosongan jawatan di UTM Kuala Lumpur.
JAWATAN:
1. Pembantu Setiausaha Pejabat (N17) – Tetap
2. Pembantu Tadbir (Kewangan)(W17) – Tetap
3. Pembantu Tadbir (Pengkeranian/Operasi)(N17) – Tetap
4. Pengawal Keselamatan (KP11) – Tetap
5. Penolong Jurutera (J29) – Tetap
6.  Penolong Pegawai Teknologi Maklumat (F29) – Tetap
Tarikh Mula Iklan  : 5 Januari 2016
Tarikh Tutup Iklan : 18 Januari 2016
Nota : Permohonan jawatan adalah secara online application di pautan / link yang disertakan :
Pautan Laman Web UTMHR;
Sebarang petanyaan boleh hubungi talian 03-26154611 – Puan Sahidar binti Ab Sahir/Encik Mohd Faizal bin Hassan
Pejabat Pendaftar (Unit Penjawatan), UTM Kuala Lumpur.
Sumber: Pejabat Pendaftar (Perjawatan) UTM Kuala Lumpur

South Korea creates electric vehicle system that charges cars on the road

This article is taken from here

People often think of switching to battery operated vehicles, but it becomes a nightmare for the drivers to look at the low battery sign on the dashboard with no means to recharge it again.

Maybe there is a way to release this fear. What if battery-operated electric cars work far better and don’t have to lug around huge and expensive batteries?

The researchers at Korea’s Advanced Institute of Science and Technology have developed a technology to solve both the conundrums. They have created first-of-its-kind on-line electric vehicle (OLEV) system, that can recharge electric cars or buses while they are on the go.

In the city of Gumi, South Korea, a seven-and-a-half-mile stretch of asphalt roadway has been constructed with power sources periodically embedded in the road. As a bus approaches and leaves, these power sources connect to the grid and are turned on and off selectively. According to KAIST, only 5% to 15% of the already existing road needs to be rebuild to make it a wireless charger.

The batteries used in the buses are almost third the size of a normal electric car battery, yet the buses don’t need to stop for charging and are more cost effective. This technology being eco-friendly can curb the increasing carbon level, hence solving many pollutions related health issues.

Market for electric vehicles is ready to explode

The following article is found here.

 

A report from research firm IDTechEx entitled Electric Vehicle Forecasts, Trends and Opportunities 2016-2026 says the market for electric vehicles is set to explode over the next 10 years, creating nearly a half trillion dollars worth of new business along the way.

“Batteries, supercapacitors, energy harvesting, wireless charging, power electronics and structural electronics are all evolving and breakthroughs are appearing more commonly in other vehicles such as boats and planes, before cars,” IDTechEX says. “This is driving progress across the whole EV market and now many profitable niche markets are emerging just as there’s been a shake-up in the leading sectors.”

IDTechEX expects the market for electric vehicles used in construction, agriculture, and industrial watercraft to experience compound annual growth of between 20% and 65% over the next ten years. Outdoor power equipment like earth movers and lifting vehicles are expected to to switch to hybrid electric drivetrains, which require less maintenance and insulate companies from future spikes in the cost of fossil fuels.

Hybrids perform better because they have more torque available at low speeds. They also are able to supply electricity to other equipment on a job site. Another plus is that they are quieter in operation, which reduces operator fatigue, and they create less pollution, too.

The market for electric buses is expected to top $72 billion a year by 2025 as cities push for more emissions free vehicles on their streets. Right now, China’s BYD is the leading manufacturer of short and long range electric buses in the world, but Proterra is also competing for that business in the US. It features carbon fiber construction for its vehicles. Lighter weight means greater range.

“The size and growth of the industrial and commercial sector is less dependent on government funding and tax breaks than the more fragile market for electric cars, particularly pure electric ones,” the report says. “Excitingly, most of the electric vehicle technologies are changing and improving hugely and innovation often comes here [the commercial and industrial sector] before it is seen in the more publicized electric vehicle sectors such as cars.”

It just may be that the transition away from fossil fueled vehicles will be led not by Tesla and other car makers but by the makers of construction equipment, buses, trash hauling vehicles and the like, whose customers are persuaded more by the economic benefits of electric vehicles than by styling or cool technology.

CFP: Fuzzy Set Theory in Computer Vision at WCCI 2016

We are organizing a special session at the World Congress on Computational Intelligence (WCCI) 2016 titled “Fuzzy Set Theory in Computer Vision” (FUZZ-IEEE-13). We hope that you will consider being an IPC member for our special session and possibly submit an article (and/or forward this announcement to anyone else you think might be interested in submitting an article). Please let us know if you will be a member (with an absolute maximum of three articles to review). Note, if you accept this invitation then you will need to select our specific special session in the review system as your first topic so everything is properly linked in the system.

 

Conference website: http://www.wcci2016.org/

Special session link: http://www.wcci2016.org/spsessions.php

Important dates:

Paper submission: January 15th, 2016
Notification of acceptance: March 15th, 2016
Final paper submission: April 15th, 2016
Early registration deadline: April 15th, 2016
Conference: July 25-29, 2016

 

Instructions for authors, submission and more details in the conference website:

http://www.wcci2016.org/

 

Accepted papers to this special session (if presented at the Conference) will be published in the conference proceedings of FUZZ-IEEE published by the IEEE.

 

Thank you and hope to see you in Vancouver!

 

Organizing Committee

Derek T. Anderson, Mississippi State University, USA [anderson@ece.msstate.edu]

Chee Seng Chan, University of Malaya, Malaysia [cs.chan@um.edu.my]

James M. Keller, University of Missouri, USA [kellerj@missouri.edu]

 

——————————————————————————————–

 

Title:

 

Fuzzy Set Theory in Computer Vision

 

Aim and Scope:

 

Fuzzy set theory is the subject of intense investigation in fields like control theory, robotics, biomedical engineering, computing with words, knowledge discovery, remote sensing and socioeconomics, to name a few. However, in the area of computer vision, other fields, e.g., machine learning, and communities, e.g., PAMI, ICCV, CVPR, ECCV, NIPS, are arguably state-of-the-art. In particular, the vast majority of top performing techniques on public datasets are steeped in probability theory. Important questions to the fuzzy set community include the following. What is the role of fuzzy set theory in computer vision? Does fuzzy set theory make the most sense and biggest impact in terms of low-, mid- or high-level computer vision? Furthermore, do current performance measures favor machine learning approaches? Last, is there additional benefit that fuzzy set theory brings, and if so, how is it measured?

 

This special session invites new research in fuzzy set theory in computer vision. It is a follow up to the 2013 FUZZ-IEEE workshop View of Computer Vision Research and Challenges for the Fuzzy Set Community and Fuzzy Set Theory in Computer Vision special sessions in 2014 and 2015. In particular, we encourage authors to investigate their research using public datasets and to compare their results to both fuzzy and non-fuzzy methods. Topics of interest include all areas in computer vision and image/video understanding. Example topics include, but are definitely not limited to, the following:

 

  • Detection and recognition
  • Categorization, classification, indexing and matching
  • 3D-based computer vision
  • Advanced image features and descriptors
  • Motion analysis and tracking
  • Linguistic description and summarization
  • Video: events, activities and surveillance
  • Intelligent change detection
  • Face and gesture
  • Low-level, mid-level and high-level computer vision
  • Data fusion for computer vision
  • Medical and biological image analysis
  • Vision for Robotics