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Call For Papers
The 52nd Hawaii International Conference on System Sciences
(HICSS-52)
Grand Wailea, Maui, Hawaii, January 8-11, 2019
==========================================================================
Machine Learning, Robotic and Toy Computing
Minitrack
URL:
http://hicss.hawaii.edu
Machine learning employs software tools from advanced analytics
disciplines such as data mining, predictive analytics, and text
based on a set of algorithms that attempt to model high-level
abstractions in data by using multiple processing layers with
complex structures or non-linear transformations. At the same
time, the processing and analysis of machine learning applications
present methodological and technological challenges. Further
machine learning applications are advantaged by a rise in sensing
technologies as witnessed in both the number of sensors and the
rich diversity of sensors ranging from cell phones, personal
computers, and health tracking appliances to Artificial
Intelligence (AI) technologies designed to give contextual,
semantic data to entities in an ubiquitous environment that
previously could not contribute intelligence to key decisions and
smart devices. Recently AI technologies have been applied to
robotic and toy computing. Robotic computing is one branch of AI
technologies, and their synergistic interactions, that enable and
are enabled by robots. Robots now can easily capture a user's
physical activity state (e.g., walking, standing, running, etc.)
and store personalized information (e.g., face, voice, location,
activity pattern, etc.) through the camera, microphone, and
sensors by AI technologies. Toy computing is a recently developing
concept which transcends the traditional toy into a new area of
computer research using AI technologies. A toy in this context can
be effectively considered a computing device or peripheral called
Smart Toys. We invite research and industry papers related to
these specific challenges and others that are driving innovation
in machine learning, robotic and toy computing. With a general
focus on machine learning, robotic and toy computing, this
mini-track covers related topics in machine learning, robotic and
toy computing such as:
* Data Modeling and Implementation
* Analytics and Algorithms
* Business Models
* Delivery, Deployment, and Maintenance
* Real-time Processing Technologies and Online Transactions
* Conceptual and Technical Architecture
* Visualization Technologies
* Modeling and Implementation
* Security, Privacy, and Trust
* Industry Standards and Solution Stacks
* Provenance Tracking Frameworks and Tools
* Software Repositories
* Organizations Best Practices
* Case Studies (e.g., smart toys, healthcare, financial, aviation,
etc.)
Extended versions of accepted papers will be invited for
submission by specific journal special issue in Electronic
Commerce Research and Applications by Elsevier
(
https://www.journals.elsevier.com/electronic-commerce-research-and-applications/call-for-papers/special-issue-on-cloud-connected-smart-toys).
Deadline for authors to submit papers: *** June 15, 2018 (11:59
PM, Hawaii time) ***
Submission link:
http://www.hicss.org
Minitrack Co-Chairs:
Patrick C. K. Hung
Faculty of Business and Information Technology, University of
Ontario Institute of Technology, Canada
Department of Electronic Engineering, National Taipei University
of Technology, Taiwan
patrick.hung@uoit.ca
Shih-Chia Huang
Department of Electronic Engineering, National Taipei University
of Technology, Taiwan
schuang@ntut.edu.tw
Sarajane Marques Peres
School of Arts, Sciences and Humanities, University of Sao Paulo,
Brazil
sarajane@usp.br
?
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