CPS&IoT’2019 Summer School – Call for Participation

January 28th, 2020 Daniela Lopez de Luise

You are encouraged to participate in a very special event: the 2nd Summer School on Cyber-Physical Systems and Internet-of-Things – CPS&IoT’2020 that will be held in Budva, Montenegro, 8-12 June 2020.

 

The CPS&IoT’2020 Summer School is prepared in collaboration with Euromicro, IEEE and MANT, and is possible thanks to involvement of many outstanding researchers and developers from numerous European projects and countries.

 

A distinguishing feature of the CPS&IoT’2019 Summer School is that its lectures, demonstrations, and practical hands-on sessions:

–      are based on results from numerous currently running or recently finished European R&D projects in Cyber-Physical Systems (CPS) and Internet-of-Things (IoT), as: 5G NetMobil, 5G-ALLSTAR, Afarcloud, AMMCOA, CONCORDIA, FitOptiVis, HERCULES, iDev40, IoT4CPS, LASSO, MegaM@RT2, NEWCONTROL, nIoVe, Productive4.0 and several others,

and

–      will be given by top specialists in particular CPS and IoT fields form European industry and academia, and will deliver very fresh advanced knowledge.

 

The School gives a unique opportunity:

–     to interact with outstanding specialists in the CPS and IoT area,

and

–     to get acquainted with huge opportunities and impact of CPS and IoT, serious issues and challenges of their development, as well as, newest concepts, advanced knowledge and modern design tools created in numerous ongoing and recently finished European R&D projects in CPS and IoT.

 

The idea of the CPS&IoT’2020 Summer School is to be a lively discussion and collaboration forum for researchers, developers and decision-makers working in the field of cyber-physical and embedded systems through serving the following main purposes:

–     dissemination and discussion of project results from European projects in CPS, IoT and ES;

–     exchange of knowledge and collaboration among European projects in CPS, IoT and ES;

–     advanced training of industrial and academic researchers, developers, engineers and decision-makers in CPS, IoT and ES;

–     facilitation of international contacts and collaboration among the Summer School participants.

 

More information on the CPS&IoT’2020 Summer School can be found in the Call for Participation attached to this e-mail and on the web-page: http://embeddedcomputing.me/en/cps-iot-summer-school.

 

Only a limited number of participants will be admitted.

 

Register as soon as possible.

 

Reduced participation fee of only 400 EUR for M.Sc. and Ph.D. students, and 500 EUR for general public is till 01.03.2020.

 

To register please fill the Registration form and save it in pdf format.

Register for CPS&IoT’2020 Summer School via Easy Chair. In the field "Title" put CPS-IoT’2020 REGISTRATION: John Smith (John Smith is your name and surname), in the field "Keywords" put in the new lines :  [CPS&IoT2020] [Summer School] [John Smith], "[" is a new raw.

Upload registration in pdf format.

You will receive the report about acceptance/rejection of your application.

Pay the fees via MECO events payment fees 

 

In case of any problem or question related to the registration or fee payment please do not hesitate to contact Radovan Stojanović (stox@ac.me). In case of questions related to the CPS&IoT’2019 Summer School program please contact Lech Jóźwiak (L.Jozwiak@tue.nl).

 

CPS&IoT’2020 Summer School is collocated with:

·       CPS&IoT’2020 Conference – the 8th International Conference on Cyber-Physical Systems and Internet-of-Things, and

·       MECO’2020 Conference – the 9th Mediterranean Conference on Embedded Computing.

The registration to CPS&IoT’2019 Summer School entitles to free participation in CPS&IoT’2020 Conference and MECO’2020 Conference sessions. The Summer School participants are encouraged to submit their papers to the CPS&IoT’2020 Conference and MECO’2020 Conference.

 

Please distribute this Call for Participation in the CPS&IoT’2019 Summer School within your project consortia, and among your colleagues and students.

 

Best regards,

 

Lech Jóźwiak

Program Chairman of the CPS&IoT’2020 Summer School

Eindhoven University of Technology, The Netherlands

and

Radovan Stojanović

Organizing Chairman of the CPS&IoT’2020 Summer School

University of Montenegro, Montenegro

pdf icon CPSIoT2020-Summer-School-Call-for-Participation.pdf
Read More »

Call for Papers – SAMOS XX

January 28th, 2020 Daniela Lopez de Luise

International Conference on Embedded Computer Systems:

Architectures, Modeling, and Simulation (SAMOS XX) Pythagoreio, Samos Island, Greece, July 5 – 9, 2020

 

http://www.samos-conference.com

======================================

 

 

*** PAPER SUBMISSION DEADLINE: FEB 28, 2020 ***

 

SAMOS is a unique conference. It deals with embedded systems (sort of) but that is not what makes it different. It brings together every year researchers from both academia and industry on the quiet and inspiring northern mountainside of the Mediterranean island of Samos, which in itself is different. But more importantly, it really fosters collaboration rather than competition. Formal and intensive technical sessions are only held in the mornings. A lively panel or distinguished keynote speaker ends the formal part of the day, and leads nicely into the afternoons and evenings — reserved for informal discussions, good food, and the inviting Aegean Sea. The conference papers will be published by Springer’s Lecture Notes in Computer Science – LNCS  and will be included in the DBLP Database. Authors are invited to submit technical papers in accordance to the author’s instructions describing original work.

 

The SAMOS conference seeks paper contributions in two main areas:

 

Applications, Systems, Architectures, and Processors:

 

This topic area focuses on advances in systems efficiency in various domains. We seek original contributions describing new architectural and micro architectural techniques aiming to improve performance (e.g. processing throughput or real-time latency), energy and power efficiency, reliability and dependability of embedded systems. We solicit novel architectures and computing methodologies and solutions for accelerating applications in various embedded domains such as next generation life sciences and medicine, next generation automotive and avionics, next generation (machine) learning systems for surveillance and recognition, immersive virtual reality. Topics of interest include (but are not limited to):

 

 

  • Novel Architectures for Accelerators in High Performance Embedded Systems;

  • Application-specific and Domain-specific Embedded Heterogeneous Multicore Systems;

  • Embedded Reconfigurable Processors;

  • Software tools, Compilation techniques and optimizations, and Code generation for Reconfigurable Architectures;

  • Architecture synthesis from Functional Languages Descriptions;

  • Virtualization and Energy-aware Secure, Reliable, and High Availability Multi-core Architectures;

  • Embedded Parallel Systems and Multiprocessor Systems-On-Chip;

  • Application level Resource Management of Multi-core Architectures;

  • Memory Systems and Management for big data;

  • In-/near-memory processing;

  • Network-on-Chip, Software Defined Network-on-Chips.

 

Modeling, Design, and Design Space Exploration:

 

This topic area focuses on all design processes for embedded systems ranging from system-level specification, design languages, modeling and simulation, performance, power, reliability and thermal estimation and analysis, hardware/software and system synthesis, design and design space exploration methodologies down to hardware and software synthesis and compilation strategies. Topics of interest include (but are not limited to):

 

  • Hardware/Software and Algorithm/Architecture Co-design;

  • Design Space Exploration Strategies, Algorithms and CAD Tools;

  • Specification Languages and Models;

  • System-Level Design, Simulation, and Verification;

  • Hardware, Software and System Synthesis Techniques and CAD Tools;

  • MP-SoC and Platform Based Design Methodologies;

  • MP-SoC Programming, Compilers, Simulation and Mapping Technologies;

  • Profiling, Measurement and Analysis Techniques and CAD Tools;

  • (Design for) System Adaptivity;

  • Testing and Debugging.

 

** TRAVEL GRANTS **

 

SAMOS will provide 10 travel grants to authors and participants, who are students from Greece, Cyprus, Italy, Portugal, and Spain and, in general, to people with limited support from their organizations.

 

** SAMOS XX Organization **

 

* General Chair

A. Orailoglu, University of California, USA

 

* Program Chair

M. Jung, Fraunhofer IESE, DE

M. Reichenbach, FAU, Germany

 

* SAMOS Steering Committee

S. Bhattacharyya, University of Maryland – College Park (US) H. Blume, Leibniz University Hannover (DE) E. Deprettere, Leiden University (NL) N. Dimopoulos, University of Victoria (CA) C. Galuzzi, Maastricht University (NL) G. N. Gaydadjiev, Maxeler Technologies (UK) J. Glossner, Optimum Semiconductor Technologies (US) W. Najjar, University of California – Riverside (US) A. D. Pimentel, University of Amsterdam (NL) O. Silvén, University of Oulu (FI) D. Soudris, NTUA (GR) J. Takala, Tampere University of Technology (FI) S. Wong, Delft University of Technology (NL)

 

* Program Committee: See http://www.samos-conference.com

 

=============================================

Important Dates:

 

Submission Deadline: Feb. 28, 2020

Notification: April 24, 2020

Camera Ready: May 15, 2020

SAMOS XX: July 5 – 9, 2020

=============================================

 

 

 

 

Read More »

Call for Chapters – Deep Learning for Cancer Diagnosis (Springer)

January 23rd, 2020 Daniela Lopez de Luise

https://easychair.org/cfp/book_dlcd_2020

Dear Colleagues;

As we are near to completion of our edited Springer book project: "Deep Learning for Cancer Diagnosis" (edited by Utku Kose, PhD., & Jafar Alzubi, PhD.) we are seeking for final full chapters, which may contribute to the quality of the book.

Interested authors are suggested to send their full chapters (as prepared to Springer book chapter template: T1 book – contributed book) to Assoc. Prof. Dr. Utku Kose (utkukose@gmail.com). Deadline is 20th February 2020.

If you need any assistance, please contact to Prof. Kose.

—

Utku KOSE, PhD.

Assoc. Prof. of Computer Engineering
Suleyman Demirel University,
Faculty of Engineering, Dept. of Computer Eng.,
West Campus, 32260, Isparta / Turkey

┏(-_-)┛┗(-_- )┓┗(-_-)┛┏(-_-)┓
Book Series Editor – Biomedical and Robotics Healthcare (CRC Press)
Editor in Chief – Journal of Multidisciplinary Developments
Associate Editor – IEEE Access
Associate Editor – International Journal of Informatics Technologies
Phone (GSM): 0090532 590 83 26 
Web Page (Personal): http://www.utkukose.com
Orcid ID: 0000-0002-9652-6415
ResearcherID: C-8683-2009 
Scopus ID: 36544118500 
┏(-_-)┛┗(-_- )┓┗(-_-)┛┏(-_-)┓
Read More »

IJCNN-WCCI2020: Special Session on GANs

January 23rd, 2020 Daniela Lopez de Luise
TL;DR – CFP:  IJCNN special session on GANs
GUEST EDITORS: Ariel Ruiz-Garcia, Vasile Palade, Jürgen Schmidhuber, Clive Cheong Took, Danilo Mandic
SUBMISSION DEADLINE(extended): 30th January 2020
———————————-
CALL FOR PAPERS
Special Session on Deep and Generative Adversarial Learning
 
IEEE World Congress on Computational Intelligence (IEEE WCCI 2020)
International Joint Conference on Neural Networks
July 19-24, 2020 Glasgow, Scotland, UK
 
Abstract:
Generative Adversarial Networks (GANs) have proven to be efficient systems for data generation. Their success is achieved by exploiting a minimax learning concept, which has proved to be an effective paradigm in earlier works, such as adversarial curiosity (1990) and predictability minimization (1991), in which two networks compete with each other during the learning process. One of the main advantages of GANs over other deep learning methods is their ability to generate new data from noise, as well as their ability to virtually imitate any data distribution. However, generating realistic data using GANs remains a challenge, particularly when specific features are required; for example, constraining the latent aggregate distribution space does not guarantee that the generator will produce an image with a specific attribute. On the other hand, new advancements in deep representation learning (RL) can help improve the learning process in Generative Adversarial Learning (GAL). For instance, RL can help address issues such as dataset bias and network co-adaptation, and identify a set of features that are best suited for a given task.
 
Despite their obvious advantages and their application to a wide range of domains, GANs have yet to overcome several challenges. They often fail to converge and are very sensitive to parameter and hyper-parameter initialization. Simultaneous learning of a generator and a discriminator network often results in overfitting. Moreover, the generator model is prone to mode collapse, which results in failure to generate data with several variations. Accordingly, new theoretical methods in deep RL and GAL are required to improve the learning process and generalization performance of GANs, as well as to yield new insights into how GANs learn data distributions.
 
This special session on Deep Representation and Generative Adversarial Learning aims to bring together researchers and practitioners to discuss and present their findings on RL and GANs. The special session will invite novel contributions on new theoretical methods and applications of RL and GANs.
 
Topics of interest for this special session include but are not limited to:
•       Representation learning methods and theory;
•       Adversarial representation learning for domain adaptation;
•       Network interpretability in adversarial learning;
•       Adversarial feature learning;
•       RL and GAL for data augmentation and class imbalance;
•       New GAN models and new GAN learning criteria;
•       RL and GAL in classification;
•       Adversarial reinforcement learning;
•       GANs for noise reduction;
•       Recurrent GAN models;
•       GANs for imitation learning;
•       GANs for image segmentation and image completion;
•       GANs for image super-resolution;
•       GANs for speech and audio processing
•       GANs for object detection;
•       GANs for Internet of Things;
•       RL and GANs for image and video synthesis;
•       RL and GANs for speech and audio synthesis;
•       RL and GANs for text to audio or text to image synthesis;
•       RL and GANs for inpainting and sketch to image;
•       RL and GAL in neural machine translation;
•       RL and GANs in other application domains
 
Important Dates:
15 January 2020 – Submission deadline
15 March 2020 – Paper acceptance notification
15 April 2020 – Final paper submission and early registration deadline
19-24 July 2020 – Paper presentations at IEEE WCCI 2020
 
Organizers:
Dr Ariel Ruiz-Garcia
Arm Ltd, UK
Email: ariel.9arcia@gmail.com

Professor Vasile Palade
Coventry University, UK
Email: vasile.palade@coventry.ac.uk

Professor Jürgen Schmidhuber
NNAISENSE,
Swiss AI Lab IDSIA,
USI & SUPSI, Switzerland
Email: juergen@idsia.ch

Dr Clive Cheong Took
Royal Holloway (University of London), UK
Email: Clive.CheongTook@rhul.ac.uk

Professor Danilo Mandic
Imperial College London, UK
Email: d.mandic@imperial.ac.uk
 
Submission Procedure:
Prospective authors should follow the author instructions for IEEE IJCNN found at https://wcci2020.org/submissions/ and submit manuscripts online at https://ieee-cis.org/conferences/ijcnn2020/upload.php Authors should select 'S35. Deep and Generative Adversarial Learning” when they reach the “Main research topic” step and leave “Additional research topics” empty during the submission process.

For any questions related to the special issue please email Dr Ariel Ruiz-Garcia (ariel.9arcia@gmail.com)

Read More »

SHREC2020 call for track proposals

January 23rd, 2020 Daniela Lopez de Luise

3D Shape Retrieval Challenge, SHREC2020, http://www.shrec.net/

Call for Track Proposals

========================

 

*New this year: In 2020, full paper submissions will follow a two-stage review process and will be published in the international journal Computes & Graphics upon acceptance.*

 

*Introduction*

 

The general objective of the 3D Shape Retrieval Contest is to evaluate the effectiveness of 3D-shape retrieval algorithms. SHREC2020 is the fifteens edition of the contest. Like previous years, it is organized in conjunction with the Eurographics Workshop on 3D Object Retrieval, where the results will be reviewed and presented, https://workshop.cgv.tugraz.at/3dor2020/.

 

Thanks to the efforts of previous track organizers, SHREC already provides many resources to compare and evaluate 3D retrieval methods. For this year's contest, we aim to explore new and updated tracks. Therefore, the participants are invited to have an active role in the organization of the event. This includes proposing track themes, building or acquiring a test collection, and deciding upon the queries, relevance assessment, and performance measures.

 

The participants of each track will collectively write a paper, which will be peer reviewed, and published in Computers & Graphics upon acceptance. At least one author per track must register for the workshop, and present the results. We also cordially invite all participants of a track to register and attend the workshop.

 

*Tracks*

 

The tracks organized in the past years have covered different aspects and tasks of 3D shape retrieval, for example: rigid or non-rigid models; partial (e.g. range scan) or complete models; sketch-based 3D retrieval; generic or domain specific models (e.g. CAD, biometrics, architectural and protein), and various aspects such as metric learning, outlier detection, correspondence, robustness, stability, registration, classification, recognition, pose estimation, and machine learning.

 

Now we solicit again proposals for tracks. You may opt for one of the above themes, or propose new ones. Track organizers are responsible for all aspects of organizing the track, such as: the task, the data collection (copyright issues, etc.), the queries, the ground truth, the experimental design, the evaluation method, and the procedural aspects, writing the final paper in collaboration with the contestants, and submitting it. See the SHREC home page http://www.shrec.net/ for examples of organizational aspects of previous tracks.

 

*Procedure*

 

The following list is a step-by-step description of the activities:

 

• Potential track organizers send their proposal to shrec@cs.uu.nl, describing the envisioned task, collection, queries, ground truth, evaluation method, and expected number of participants.

• Promising tracks and their organizers will be listed at the SHREC web page, the track organizers start working out the details.

• Participants register for the tracks they want to participate in.

• Each track is performed according to its own schedule.

• The track organizers collect the results.

• The track results are combined into a joint paper. Papers are subject to peer review, accepted journal papers are published in Computers & Graphics.

• The description of the tracks and their results are presented at the Eurographics Workshop on 3D Object Retrieval (4-5 September 2020, Graz, Austria).

 

*SHREC Time Schedule*

 

• February 17, 2020: Submission deadline for track proposals.

• February 21, 2020: Notification of acceptance of track proposals.

• Feb, March 2020: Each track has its own time line.

• April 03, 2020: Each track is completed, and results are included in a track report, submitted for review.

• May 1, 2020: Reviews done, first stage decision on acceptance or rejection.

• May 22, 2020: First revision.

• May 29, 2020: Second stage decision on acceptance or rejection.

• June 12, 2020: First revision.

• June 19, 2020: Final decision on acceptance or rejection.

• September 1, 2020: Publication online in Computers & Graphics.

• September 4-5, 2020: Eurographics Workshop on 3D Object Retrieval 2020, featuring SHREC 2020.

 

The individual tracks will have their own time schedule for registration of participants, release of queries or submission of executables, and submission of results, etc.

 

*Organization*

 

For information about the challenge, and the results of previous editions, see the SHREC home page, http://www.shrec.net/, or contact shrec@cs.uu.nl.

 

 

 

 

R.C.Veltkamp@uu.nl, www.uu.nl/staff/RCVeltkamp

Department of Information and Computing Sciences, Utrecht University, www.cs.uu.nl

Center for Game Research, www.gameresearch.nl

 

Read More »
« Older Entries
Newer Entries »
Design by 2b Consult