-------- Forwarded Message --------
[Apologies for multiple postings]
Dear Professor(Dr.),
It is my pleasure and honor to share you this information of CFP
in IEEE
Transactions on Consumer Electronics.
Please consider submitting a paper to a Special Section on "Smart
Data
Driven Modeling for Emerging Customer Applications in Mobile Edge
Computing" for IEEE TCE. The deadline is Jul. 30, 2023.
https://ctsoc.ieee.org/images/TCE_FILES/Approved_CFP/April_2023/TCE_SS_CFP_Smart_Data_Driven_Modeling_for_Emerging_Customer_Applications_in_Mobile_Edge_Computing.pdf
Also, please kindly help distribute the CFP (see following) and
encourage
your colleagues, friends, and students to make submissions. Your
strong
supports are highly appreciated.
Best regards,
Xiaokang Zhou, on behalf of guest editors
[ACM TOSN Call for Papers]
===================================================================================================
IEEE Transactions on Consumer Electronics
Special Section on
Smart Data Driven Modeling for Emerging Customer Applications in
Mobile Edge Computing
---------------------------------------------------------------------------------------------------
Aims and Scope
Recent advances in Mobile Edge Computing (MEC) have driven the
dramatic
developments in key consumer electronics with higher connectivity
and
ultralow latency.
In practice, the emerging MEC technologies changes the way to
design
customer electrics products with a variety of innovative services
and
applications,
which leads to the popularization of various smart products on the
market,
such as smart phones, smart appliances, smart wearable devices,
etc. The
MEC enabled consumer
electronics has significantly increase the amount of data
available in both
physical and cyber worlds. Such big volume of consumer generated
data may
reveal correlations
between consumer behaviors and the development of MEC technology,
which
could create the new customer value and form the basis for useful
and
desirable emerging customer
applications. However, the huge volume of data scale, complex
application
context, as well as prior domain knowledge in consumer electronics
environment, make it
challenging to fulfill smart consumer applications in MEC.
Smart Data Driven Modeling (SDDM) utilizes the input/output data
measured
from real world systems to build an intelligent model to predict a
system's
response without
the necessity of using predefined constitutive models. Thus, it
could be
applied to model consumer behaviors and intricate relationships
from the
complex consumer
electronic big data. Incorporated with techniques of AI and
machine
learning, SDDM may contribute to a better understanding of the
complex
consumer electronic ecosystem,
which could further help to develop more intelligent customer
applications
in MEC environment.
Topics of interest in this Special Section include (but are not
limited to):
⠂ Concepts, standardization, and models for MEC enabled emerging
customer
applications
⠂ Computational offloading for cost-effective customer
applications in MEC
⠂ Advanced machine learning algorithms for data-driven customer
applications in MEC
⠂ Security, trust and privacy in MEC enabled customer behavior
analysis
⠂ Intelligent customer data mining, communication and integration
in MEC
⠂ Reliability and fault-tolerance for real-time customer
applications in MEC
⠂ Customer-related knowledge graph construction and utilization in
MEC
⠂ Lightweight customer preference analysis and prediction in MEC
⠂ Industrial experience reports of MEC enabled emerging customer
applications
⠂ Society, ethics and laws associated with customer data
integration in MEC
Submissions
Manuscripts should be prepared following guidelines at:
https://ctsoc.ieee.org/publications/ieee-transactions-on-consumer-electronics.html
and must be submitted online following the IEEE Transactions on
Consumer
Electronics instructions:
https://ctsoc.ieee.org/publications/ieee-transactions-on-consumer-electronics.html.
During submission, the Special Section on “Smart Data Driven
Modeling for
Emerging Customer Applications in Mobile Edge Computing” should be
selected.
Important Dates
⠂ End of submission of Manuscripts: July 30, 2023
⠂ Expected publication date (tentative): May 2024
Guest editors:
⠂ Xiaokang Zhou, Shiga University, Japan.
zhou@biwako.shiga-u.ac.jp
⠂ Flavia C. Delicato, Fluminense Federal University, Brazil.
fdelicato@gmail.com
⠂ Kevin Wang, The University of Auckland, New Zealand.
kevin.wang@auckland.ac.nz
⠂ Vincenzo Piuri, University of Milan, Italy.
vincenzo.piuri@unimi.it
Contact Information
Corresponding Guest Editor, Dr. Zhou (
zhou@biwako.shiga-u.ac.jp)
_______________________________________________
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