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- Recent Challenges in Machine Learning for Computing Applications -

Paper Submission
Paper Template
Guidelines for Camera Ready Submissions

The 2018 International Conference on Computer, Control, Informatics and its Applications (IC3INA 2018) is the 6th annual conference co-organized by Research Center for Informatics, Indonesian Institute of Sciences (LIPI). IC3INA is intended to gather researchers, academics, engineers, scholars and practitioners to present recent innovations and developments, and to exchange ideas and progresses in the advanced technologies of computer, control, informatics and its applications. The conference has been approved and co-sponsored by IEEE with the conference no. 44477 .

This year event will be held in ICE-BSD, Tangerang, South of Jakarta, Indonesia on 1-2 November 2018. Previous conferences have been successfully held and the proceedings have been indexed by IEEEXplore (2013, 2014, 2015, 2016,2017)

All papers accepted and presented in IC3INA 2018 will also be forwarded for consideration to be published in the IEEE Xplore Digital Library.


Prof. Hiroshi NAKASHIMA, Ph. D (Kyoto University, Japan)

Title: Six Players in Exa-Scale HPC Games and Beyond

Programming in HPC has its own feature by which our game is clearly distinguished from other games. That is, high-performance is the first priority in our game in which six key players, namely correctness, complexity, parallelism, locality, regularity and productivity, must have roles and skills different from those required in other games. Furthermore, the roles and skills are not steadfast but change as HPC technologies are evolved and emerged. This talk presents HPC-specific features of these six players and the challenge in the training of them in order to win our games in Exa-scale era and beyond.

Dr. Esa Prakasa (Research Center for Informatics, Indonesian Institute of Science, Indonesia)

Title: Development of vision-based and machine learning algorithms for wood identification

Computer vision methods have been widely used in many applications related to visual interpretation and assessments. The vision method is potential to be implemented in wood identification to provide more accurate and objective results. Research Center for Informatics, Indonesia Institute of Sciences (LIPI) and Forest Products Research and Development Center (FORDA) are conducting collaborative research to realise this implementation. The vision-based system for wood identification could provide advantages for many stakeholders, such as wood anatomists, custom services, forensic officers and timber industries. In the current procedure, a wood anatomist with certain experience level needs to observe the wood surface through visual assessment, and then identify wood species based on its surface properties. The proposed method recognises wood species by analysing the wood image as input data. The image is acquired by using smartphone camera and mounted macro lens. The identification capability is built by applying machine learning algorithm to a large wood dataset. By using current technologies on the smartphone camera, it is feasible to acquire and collect wood surface images at high resolution. The image data are accumulated based on its commercial categories, as regulated by the Indonesian government. The wood dataset is initially formed by collecting the wood sample images from Xylarium Bogoriense 1915. To increase the dataset size, wood samples from Indonesian regions are also accumulated by using mobile application. In the end, the smartphone will have two primary functions. Firstly, it can be used as a practical tool by non-anatomist for identifying wood species and secondly, at the same time, the captured image can be added to the wood dataset. The updated dataset might be continuously used to improve the identification capability.

Prof.Dr. Shi-Jinn Horng (Chair Professor Department of Computer Science and Information Engineering National Taiwan University of Science and Technology, Taiwan)


Prospective authors are invited to submit full-length papers, with up to six pages for technical content including figures and possible references. Topics of interest include, but are not limited to the following areas:

    Computer Track - Computer Systems, Computer Communication and Networking, Distributed and Parallel Infrastructure, Computer Interfacing, Embedded System, Wireless Sensor Network, Network Security, Micro(processor/controller) System, Signal Processing

    Control Track - Intelligence Control Systems, Neural Network, Fuzzy Control Systems, Control Theory,Real Time Control Systems.

    Informatics Track - Artificial Intelligence and Machine Learning, Mobile and Cloud Computing, Software Engineering, Database Systems, Formal Method in Software Engineering, Data Mining, Image Processing, Computer Vision, High Performance Computing, Pattern Recognition, Object Recognition, Speech and Language Processing.

    Applications Track - Bioinformatics, E-Business, Tele-medicine, Intelligence Building, Information Systems, Biomedical Engineering

Paper Format - Papers submitted for IC3INA 2018 should be up to 6 pages of text including figures and possible references. Any paper with more than 6 pages will not be considered for acceptance. The authors are responsible to ensure that the submitted papers are in the correct styles, fonts, etc. The submitted papers must be in the PDF format.

Template - The Style Manual and Conference Paper templates in various formats are available here.

Paper Submission Procedure - Submit your papers in pdf format through EDAS system (

Non-presented Paper Policy IEEE reserves the right to exclude a paper from distribution after the conference, including IEEE Xplore Digital Library, if the paper is not presented by the author at the conference.


Please contact the IC3INA 2018 Technical Program Chairs at ic3ina[at]

Previous Conference (IC3INA 2015)

IC3INA 2015

Previous Conference (IC3INA 2014)

IC3INA 2014

Previous Conference (IC3INA 2013)

IC3INA 2013

IC3INA 2018 is sponsored by Indonesian Institute of Sciences - LIPI.

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