Monthly Archives: November 2016
Special Issue on Circuits and Systems for the Internet of Things – From Sensing to Sensemaking
Deadlines:
Paper Submission: December 7, 2016
Completion of First Review: February 7, 2017
Completion of Final Review: April 7, 2017
Target Publication: June 2017
The Internet of Things (IoT) is now at its onset as a result of a global effort to enable massively distributed integrated circuits and systems with sensing, processing, communication and energy management capabilities (the “IoT nodes”). The vision towards 1 Tera connected IoT nodes poses several challenges in the broad area of circuits and systems, including:
(i) the need for unprecedentedly high energy efficiency and low standby power,
(ii) ultra-low voltage operation and inexpensive resiliency-enhancement techniques,
(iii) very low cost across the entire chain from design to verification, and manufacturing,
(iv) systematic over-design margin elimination from the circuit to the application level,
(v) cyber-security assurance down to single chip level despite highly-constrained resources,
(vi) the need for early extraction of essential information from physical data within the IoT nodes themselves, to enable distributed learning/sensemaking and hence true IoT scalability.
Due to the gargantuan scale of the IoT, the above challenges need to be addressed through holistic approaches that embrace multiple levels of abstraction (verticality) and building blocks of the on-chip sensing/sensemaking chain (transversality). Nowadays, vertical approaches are progressively becoming more customary to exceed the artificial boundaries created by levels of abstraction, and enable advances that transcend their traditional limits. On the other hand, more research is needed to devise transversal methods that leverage the interaction within the sensing/sensemaking chain, from analog interfaces to processing, power delivery, wireless communications and HW/SW-level information security, while expanding into systems, data representation and algorithmic frameworks.
Authors are invited to submit Regular papers following the IEEE Transactions on Circuits and Systems I: Regular Papers (TCAS-I) guidelines, within the remit of this Special Issue call. Topics within the remit of circuits and systems for IoT include (but are not limited to):
- Circuit and system techniques for energy harvesting/delivery/management and tight coupling with analog/processing/communication sub-systems
- Circuits and systems for ultra-low voltage, energy and standby power consumption
- Adaptive and resilient analog and digital techniques for inexpensive counteraction of process/voltage/temperature variations
- Highly power-efficient circuits for wireless communications in IoT
- Energy-quality scalable and approximate circuits and systems for IoT
- Heterogeneous, reconfigurable and other IoT-specific architectures
- Circuit/architecture/system/algorithmic “just-enough” methods for over-design margin elimination at all levels of abstraction through adaptation to application, context, workload and dataset
- Hardware-level security for IoT, from lightweight encryption to “physically unclonable functions” for chip authentication
- System-on-chip design and verification methodologies for IoT
- Circuit and system approaches and implications on data representation and algorithms for IoT
- Circuits, systems and methods for on-chip machine learning and inference
- Emerging technologies for IoT
Submission Guidelines
All submitted manuscripts must
(i) conform to TCAS-I’s formatting requirements and page-count limit (at no more than 14 pages);
(ii) incorporate no less than 50% of new (previously unpublished) material;
(iii) be submitted online at https://mc.manuscriptcentral.com/tcas1.
Please note that you need to select “Special Issue on IoT” when you submit a manuscript to this Special Issue.
Guest Editors
Prof. Massimo Alioto
National University of Singapore (Singapore)
E-mail: malioto@ieee.org
Prof. Edgar Sanchez-Sinencio
Texas A&M University (USA)
e-mail: s-sanchez@tamu.edu
Prof. Alberto Sangiovanni-Vincentelli
University of California at Berkeley (USA)
E-mail: alberto@berkeley.edu
Self-Driving, Collaborating Trucks for Mines and Ports
by Elisabeth Uhlemann
Autonomous transport solutions open up a world of opportunities. Scania, a major Swedish automotive industry manufacturer of commercial vehicles, targets a complete system, handling logistics, the assignment of tasks to vehicles, and information sharing between vehicles and infrastructure. Each transport solution is individually tailored to the customer’s needs. During the first stage of development, Scania is focusing on industrial areas, such as mines, ports, or terminals.
Full article: IEEE Vehicular Technology Magazine, Volume 11, Number 3, September 2016
Road Safety Tip #10
Bright
JEMPUTAN CADANGAN PENYELESAIAN KUMPULAN PERMASALAHAN BARU BAGI WORKSHOP DEMAND-DRIVEN INNOVATION PROJECT BY PUBLIC-PRIVATE RESEARCH NETWORK (PPRN) – Kelompok Disember 2016
Assalamualaikum Wrt Wbth dan Selamat Sejahtera,
Dipanjangkan jemputan cadangan penyelesaian untuk projek PPRN batch Disember 2016.
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YBhg. Datuk/ Dato’/ Prof./ Dr./ Tuan / Puan,
Saya dengan segala hormatnya diarah merujuk kepada perkara di atas.
- Terima kasih diucapkan atas komitmen penyelidik-penyelidik daripada institusi YBhg. Datuk/ Dato’/ Prof./ Dr./ Tuan / Puan terhadap inisiatif Public-Private Research Network yang dilaksanakan oleh Kementerian Pendidikan Tinggi (KPT) dalam mewujudkan knowledge-friendly ecosystem di Malaysia, di mana pihak industri yang merupakan pengguna pengetahuan dihubungkan dengan pengeluar pengetahuan iaitu institusi pengajian tinggi (IPT) dan institusi penyelidikan (RI) bagi meningkatkan lagi daya produktiviti negara melalui aktiviti inovasi dan penyelidikan gunaan.
- Bersama-sama ini dikemukakan senarai permasalahan teknologi yang baru bagi kelompok Disember 2016 seperti di Lampiran Adisertakan untuk diedarkan kepada penyelidik-penyelidik bagi mencadangkan penyelesaian teknologi.
- Seterusnya, semua penyelidik yang berminat dan berpotensi memberikan cadangan penyelesaian dijemput menyertai cadangan penyelesaian yang baru dan menghadiri Workshop Demand-Driven Innovation Project by Public-Private Research Network yang akan diadakan pada ketetapan seperti berikut:
Tarikh | : | 6 & 7 Disember 2016 (Selasa – Rabu)
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Masa | : | 8.30 pagi hingga 5.00 petang
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Tempat | : | Unit Keusahawanan & PPRN
Kementerian Pendidikan Tinggi Aras 13, No. 2, Menara 2 Jalan P5/6 Presint 5 62200 WP Putrajaya
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Agenda | : | Rujuk tentatif jadual seperti di Lampiran B. |
- Penyelidik boleh menghubungi terus syarikat untuk mendapatkan maklumat lanjut bagi penyediaan cadangan penyelesaian. Sukacita sekiranya Pegawai dan penyelidik YBhg. Datuk/ Dato’/ Prof./ Dr./ Tuan / Puan dapat merujuk garis panduan penyertaan seperti di lampiran. Bagi penyelidik yang berminat untuk menyertai bengkel, sila maklumkan kehadiran anda kepada sekretariat PPRN dengan mengisi Registration of Interest (Lampiran PPRN-C3) dan Non-Disclosure Agreement (Lampiran C1) dan mengemukakan maklumbalas kepada sekretariat selewat-lewatnya pada 2 Disember 2016 (Jumaat) melalui emel:pprn@mohe.gov.my atau faks: 03-8870 6900.
Sila klik pautan berikut untuk akses kepada dokumen yang dinyatakan.
* Kertas cadangan lengkap (mengikut format LAMPIRAN C2) hendaklah dikemukakan kepada pihak secretariat sehari selepas pembentangan sebelum 5.00 petang dan pihak sekretariat tidak akan menerima sebarang kertas cadangan selepas daripada waktu tersebut. Setiap ketua penyelidik atau ahli kumpulan perlulah membentangkan dan menghantar cadangan penyelesaian tersebut.
Justeru, kerjasama dan perhatian YBhg. Datuk/ Dato’/ Prof./ Dr./ Tuan / Puan dalam perkara ini amat dihargai.
—
Prof. Madya Dr. Shukor Abd Razak
Timbalan Pengarah Pengurusan Projek
Pusat Pengurusan Penyelidikan
Universiti Teknologi Malaysia
Tel:(6)07-5537803
Fax:(6)075566177
http://www.rmc.utm.my – RMC Portal
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Reminder : Submission of Progress Report for Session 1 20162017
Noridah Osman
Administrative Assistant (Academic)
Advanced Informatics School (UTM AIS)
Level 5, Menara Razak
Universiti Teknologi Malaysia Kuala Lumpur
Jalan Sultan Yahya Petra, 54100 Kuala Lumpur, Malaysia
Office:03-21805217
Primary Email: noridah@utm.my
Academic-PhD by Research-Mixed Mode-Master by Research