After being held in Jeju Island (South Korea) and Beijing (China) successively, The 3rd International Conference on Communications and Future Internet (ICCFI 2019) will be held in Bangkok, Thailand during July 27-29, 2019. Organized by International Association of Computer Science and Information Technology, ICCFI 2019 serves as an annual platform to bring together researchers and practitioners from around the world who are developing or involving in Communications and Future Internet fields with attendant economic, environmental, and societal benefits. It enables the sharing and exchange of innovative technologies and approaches being applied in related fields of Communications and Future Internet.
Featured with invited speeches, oral presentations, poster presentations and social networking event, ICCFI 2019 welcomes the participation of anyone who are interested in the related fields. Submissions (Full Paper/Paper Abstract) in the fields of Communications and Future Internet are also solicited. Paper Abstracts are only accepted for presentation at ICCFI 2019.
As the workshop of ICCCM 2019, selected papers of ICCFI 2019 will be published in the conference proceedings of ICCCM 2019 as a special chapter, which will be archived in the ACM Digital Library and submitted for index by Ei Compendex and Scopus.
As the principal gateway for
arriving visitors, Bangkok is visited by the
majority of international tourists to Thailand. Its
sights, attractions, and city life appeal to diverse
groups of people. Royal palaces and temples as well
as museums constitute its major historical and
cultural attractions. Shopping and dining
experiences offer a range of choices. See you in
Deadline (Full Paper): June 5,
Submission Deadline (Paper Abstract):
June 10, 2019
Notification Date: June 20, 2019
Registration Deadline: July 1, 2019 Registration Deadline (Listener): July 5, 2019
|4G Mobile Technology, Including Open Mobile Initiatives||4G Wireless Networks and Systems|
|Communication Technology for eLearning, eGovernment, eBusiness||Adaptation Techniques for Next Generation Networks and Services|
|Ambient and Pervasive Networking||Augmented Reality|
|Communication Data Grids||Communication Interfaces|
|Communication Modelling||Communication Network Security|
|Communication Security, Trust, Protocols and Application||Communication Software|
|Ad Hoc and Sensor Networks||Crowd Sourcing and Human Computation|
|End-to-End Quality of Service||Energy Conservation Technologies|
|Fixed-Mobile Convergence||Forthcoming Optical Communication Systems|
|Future Cloud for Communication||Future Games and Games Designing|
|Future Generation Communication Networks||Future Internet and Networking Architectures|
|Future Internet and Networking Architectures||Future Mobile Communications|
|Future Warehousing||Grid, Crowd Sourcing and Cloud Computing|
|High-Speed Data Applications on Mobile Networks||Home Automation and Monitoring Applications|
|Human-Computer Communication||HSPA, HSPA+, LTE, LTE Advance|
|Innovative Platforms and Applications for Assisted Living||Intelligent Internet Communication|
|Intelligence for Future Communication Systems||LTE Deployment Experiences|
|Intelligent Systems for E-communication||Mission Critical Architectures|
|Mobile Health Care and Medical Applications||Mobile Learning|
|Mobile Mixed Reality||Mobile Peer-to-Peer (P2P) Applications|
|Mobile Search Engines||Mobile Social Networking|
|Mobile TV and Multicast Applications||Mobile Vehicular Technologies|
|Next Generation Hypermedia Systems||Next Generation Mobile Gaming|
|Next Generation Service Architectures||Next Generation VoLTE, PoC applications|
|Next Generation Software and Technologies for E-communication||Next Generation SIP-based VoIP and Video Over IP Applications|
|OMA 4G/IMS||Pervasive Computing|
|Proximity/Sensors/NFC Based Mobile Services||Real-time Multimedia Applications|
|Resource Allocation and Management Strategies||Satellite and Space Communication|
|Secure Mobile Banking Applications||Social Technology Devises, Tools and Applications|
|Mobile Web Technology||Next Generation Access Technologies|
|Mobile Entertainment||Mobile GIS Applications|
|Machine-to-Machine (M2M) Applications||Mobile Applications User Interface and Design|
|Mission Critical Mobile Technologies||Mobile Commerce|
|Broadcast Technology||Collaborative Communication Technology|
Prof. Tok Wang Ling
IEEE Senior Life Member
National University of Singapore, Singapore
Dr. Tok Wang LING is a professor in Computer Science Department at the National University of Singapore. He was Head of IT Division, Deputy Head of the Department of Information Systems and Computer Science, and Vice Dean of the School of Computing of the university. He received his PhD and M.Math., both in computer science, from University of Waterloo (Canada) and B.Sc. (1st class Hons) in Mathematics from Nanyang University (Singapore). His current research interests include Database Modeling, Entity-Relationship Approach, Object-Oriented Data Model, Normalization Theory, Semi-Structured Data Model, XML Twig Pattern Query Processing, XML and Relational Database Keyword Query Processing, and Temporal Database Keyword Query Processing. He serves/served on the steering committees of 5 international conferences. He is the steering committee chair of BigComp and was the steering committee chair of both ER and DASFAA. He served as Conference Co-chair of 12 international conferences, including ER 2004, DASFAA 2005, SIGMOD 2007, VLDB 2010, BigComp 2015, and ER2018. He served as Program Committee Co-chair of 6 international conferences, including DASFAA 1995, ER 1998, ER 2003, and ER 2011. He received the ACM Recognition of Service Award in 2007, the DASFAA Outstanding Contributions Award in 2010, and the Peter P. Chen Award in 2011. He is an ER Fellow.
Speech Title: Data Models Revisited: Improving the Quality of Database Research with ORA-Semantics in ER Model
Abstract: The concepts of object class, relationship type, and attribute of object class and relationship type, are the three basic concepts in Entity Relationship Model. They are termed ORA-semantics. In this talk, we first recall the limitations of the relational model and XML data model. One serious limitation of these database models is their inability to explicitly represent ORA-semantics in their schema languages. Without knowing the ORA-semantics in the databases, the quality of some database areas are low. In this talk, we show how ORA-semantics can be used to improve the quality of some database areas significantly such as database schema design, data and schema integration, and database keyword search. We present some limitations in the relational model such as normalization theory. We then briefly describe and compare the 3 common relational database schema design methods, i.e. decomposition method, synthesizing method, and ER Approach. In data and schema integration, entity resolution is widely studied. However, we must also consider relationship resolution which is rarely-mentioned; this is to identify different relationship types between/among same object classes. We highlight and differentiate between primary key vs object identifier (OID), local vs global OID, local vs global functional dependency, etc. All these concepts are related to ORA-semantics and have big impacts on the quality of the integrated databases and schemas. We continue present some serious limitations in XML data model. Existing RDB keyword search approaches are all based on foreign key-key reference and minimal connected data subgraph which contains all the query keywords. Existing XML keyword search approaches are all LCA-based; they only rely on the structural features but not the hidden ORA-semantics in XML document. We identify some serious problems of the existing RDB and XML keyword search approaches such as meaningless answer, missing answer, duplicated answer, incomplete answer, incorrect answer, and schema dependent answer. We exploit the ORA-semantics in RDB and XML data to solve the correctness and completeness of RDB and XML keyword search. We conclude this talk with some suggestions and questions for research topics on schema integration, keyword searches in RDB and XML databases, data mining, data analytics, and deep learning.
Prof. Dr. Sergei Gorlatch
University of Muenster, Germany
Prof. Sergei Gorlatch has been Full Professor of Computer Science at the University of Muenster (Germany) since 2003. Earlier he was Associate Professor at the Technical University of Berlin, Assistant Professor at the University of Passau, and Humboldt Research Fellow at the Technical University of Munich, all in Germany. Prof. Gorlatch has about 200 peer-reviewed publications in renowned international books, journals and conferences. He has been principal investigator in several international research and development projects in the field of parallel, distributed, Grid and Cloud algorithms, networking and computing, as well as e-Learning, funded by the European Commission and by German national bodies.
Speech Title: Distributed Applications Based on Mobile Cloud Computing and Software-Defined Networks
Abstract: We consider an emerging class of challenging networked multimedia applications called Real-Time Online Interactive Applications (ROIA). ROIA are networked applications connecting a potentially very high number of users who interact with the application and with each other in real time, i.e., a response to a user’s action happens virtually immediately. Typical representatives of ROIA are multiplayer online computer games, advanced simulation-based e-learning and serious gaming. All these applications are characterized by high performance and QoS requirements, such as: short response times to user inputs (about 0.1-1.5 s); frequent state updates (up to 100 Hz); large and frequently changing numbers of users in a single application instance (up to tens of thousands simultaneous users). This talk will address two challenging aspects of future Internet-based ROIA applications: a) using Mobile Cloud Computing for allowing high application performance when a ROIA application is accessed from multiple mobile devices, and b) managing dynamic QoS requirements of ROIA applications by employing the emerging technology of Software-Defined Networking (SDN).
Assoc. Prof. Phayung Meesad
King Mongkut's University of Technology North Bangkok, Thailand
Dr. Phayung Meesad currently is an Associate Professor at the Faculty of Information Technology, King Mongkut’s University of Technology North Bangkok (KMUTNB), Thailand. He also serve as the Dean of the Faculty of Information Technology at KMUTNB. Phayung received Bachelor of Science in Technical Education (Teaching in Electrical Engineering), from KMUTNB in 1994. He received Master of Science (MS) and Doctor of Philosophy (Ph.D.) in Electrical Engineering from School of Electrical and Computer Engineering, Oklahoma State University (OSU), Stillwater, USA, in 1998 and 2002, respectively. His research of interests are Computational Intelligence, Artificial Intelligence, Machine Learning, Deep Learning, Data Analytics, Data Science, Data Mining, Digital Signal Processing, Image Processing, Business Intelligence, Time Series Analysis, and Natural Language Processing.
Speech Title: Incremental Learning in Deep Learning and Big Data
Abstract: In the era of digital economy, data are increasing every second and become big data. Big data are due to users generated like social network data. In addition, big data are also generated from IoT devices. There have been researches and applications of big data in many domains in Engineering, Science, Management, Finance, Education, Entertainment, etc. Using big data, Data Science and Machine Learning play an important role in knowledge extraction, decision making, and control. Deep learning has been one of the top machine learning models applied for learning mechanism in big data. Famous deep learning models are convolutional network (CNN), recurrent neural network (RNN), long short-term memory (LSTM), gated recurrent unit (GRU), and the variants. These networks learn data offline and take long time to optimize weights and biases. In case of new data are available the networks must be retrained again to fit both old and new data. This talk will be focus on the incremental learning in deep learning networks, which are possible to learn new data online real time for a big data framework.
Prof. Hongchun Qu
Chongqing University of Posts and Telecommunications, China
Prof. Dr. Hongchun Qu has been professor of simulation and modeling in the College of Automation at Chongqing University of Posts and Telecommunications, China since 2013. He is the deputy director of the Key Laboratory of Industrial Internet of Things and Networked Control, Ministry of Education of China. From 2010 to 2012, he was a postdoctoral researcher at the Universität Tübingen Germany. He received his PhD from Chongqing University and Iowa State University in Computer Science in 2009. He served as editors and reviewers for many international journals, including Advances in Fuzzy Systems, IEEE TFS, Methods in Ecology and Evolution, Ecological Modeling, Simulation Modeling Practice and Theory, Complexity, BMC Bioinformatics, International Journal on Artificial Intelligence Tools, as well as program committee members of international conferences, including ICIOT2011, DMCIT 2018/2019, CSMO2018/2019, DMKD2018/2019. His current research interests include agent-based modeling and simulation, predictive modeling, theories and applications for ecological and agricultural systems interacting with environmental disturbances.
Speech Title: Computer Simulation Model for Climate Change and Blueberry Production
Abstract: Wild blueberry is well adapted to Maine’s climate. However, commercial production of wild blueberry is restricted to the northern part of it current natural distribution (Maine, New Hampshire, Canadian maritime provinces, Michigan, and Quebec), despite the fact that the major species comprising wild blueberry, Vaccinium angustifolium, can be found in the forest understory from North Carolina to northern Quebec and west to Minnesota and Manitoba. However, changes in climate are already occurring in Maine. As climate continues to shift, more changes in the ecological interactions of this managed natural occurring food plant are bound to take place. We have developed a computer simulation model to investigate climate shifts in Maine wild blueberry. Our computer simulation model has been developed and parameterized by data collected in the laboratory and in the field in Maine wild blueberry fields. This model currently uses hourly weather conditions to simulate blueberry plant growth and development and the activity and foraging behavior of four different bee pollinator taxa (honeybees, bumble bees, digger bees, and leafcutting bees). The model also incorporates the growth and development of mummy berry disease and its vectoring to flowers by bees. As bees visit flowers throughout the bloom season fruit set likelihoods are generated, mummy berry transmission is estimated and yield (number of fruit and size) is calculated for each stem in the field. This model incorporates state of the art algorithms that allow simulation of a blueberry field across several scales of time (hrs, days, months) and scales of space (stems (sq. cm), clones (sq. m), and fields (sq. km).
Prof. Sergei Gorlatch, University of Muenster,
Prof. Tok Wang Ling, National University of Singapore, Singapore
Assoc. Prof. Phayung Meesad, King Mongkut's University of Technology North Bangkok, Thailand
Prof. Hyun Sung Kim, Kyungil University, South Korea
Prof. Hongchun Qu, Chongqing University of Posts and Telecommunications, China
Technical Program Committee
Prof. Jain-Shing Liu, Providence University, Taiwan
Prof. Alex Mathews, Ministry of Higher Education, Sultanate of Oman
Prof. Jou-Ming Chang, National Taipei University of Business, Taiwan
Prof. Shyue-Ming Tang, National Defense University, Taiwan
Prof. Bhushan Trivedi, GLS Institute of Computer Technology, India
Prof. B.K.Tripathy, VIT University, India
Assoc. Prof. Mohd Faizal Abdollah, University Teknikal Malaysia Melaka, Malaysia
Assoc. Prof. Mischelle A. Esguerra, Lyceum of the Philippines University-Batangas,Philippines
Assoc. Prof. Remedios De Dios, De La Salle University, Philippines
Assoc. Prof. Iluminada Vivien Domingo, Polytechnic University of the Philippines, Philippines
Assoc. Prof. Chiu-Chin Chen, Zhao Qing University, China
Dr. Mad Khir Johari Abdullah Sani, Universiti Teknologi MARA, Malaysia
Assoc. Prof. Chia-Chun Liao, Zhao Qing University, China
Dr. Wen Zhang, Icahn School of Medicine at Mount Sinai, USA
Dr Kasturi Kanchymalay, Universiti Teknikal Malaysia Melaka, Malaysia
Dr. A.D.N.Sarma, Acharya Nagarjuna University, India
Asst. Prof. Sook Ha, Virginia Military Institute, USA
Asst. Prof. Xiaokun Yang, University of Houston, Clear Lake, USA
Prof. Jui-Pin Yang, Shih-Chien University, Taiwan
Prof. Srinivasan Alavandar, Agni College of Technology, India
Assoc. Prof. Suchada Ratanakongnate, King Mongkut's University of Technology North Bangkok, Thailand
Assoc. Prof. Subhranil Som, Amity University, India
Asst. Prof. Shuai Li, Hongkong Polytechnic University, Hong Kong
Asst. Prof. N. B. Pitshou, University of Johannesburg, South Africa
Asst. Prof. Byungseok Kang, University of Derby, UK
Asst. Prof. Janjao Mongkolnavin, Chulalongkorn University, Thailand
Dr. Mahamudul Hasan, East West University, Bangladesh
English is the official language of the conference; the paper should be written and presented only in English.
2. Presentation & Publication (Full paper)
Full paper (no less than 4 full pages) is requested, if you are considering publishing your paper.
3. Presentation Only (Paper Abstract)
If you just want to make a presentation without paper publication, then you can only submit an abstract (200-400 words).
4. Academic Ethics
Articles submitted to the conference should report original, previously unpublished research results, and must not be under consideration for publication elsewhere. Any act of plagiarism is a totally unacceptable academic misconduct and cannot be tolerated. If plagiarism is found, the following acts of sanction will be taken:
1). Reject the article submitted or delete the article from the final publications.
2). Report the authors violation to his/her supervisor(s) and affiliated institution(s).
3). Report the authors violation to the appropriate overseeing office of academic ethics and research funding agency.
4). Reserve the right to publish the authors name(s), the title of the article, the name(s) of the affiliated institution and the details of misconduct, etc. of the plagiarist.
Please follow the instructions of Template when
editing your paper/abstract.
Paper Template Download (Word) Abstract Template Download (Word)
One author registration covers 5 pages including tables, figures and references, and additional pages will be charged at 60 USD/page.
6. Submission Methods
Please log in the Electronic Submission System and submit your paper.
Should you have any questions, please feel free to contact us at email@example.com.
(Before April 20, 2019)
(After April 20, 2019)
|Authors (Regular)||430 USD||480 USD||----|
|Authors (Students/IACSIT Members)||380 USD||430 USD||----|
|Additional Paper(s)||280 USD / Paper||----|
|Additional Page(s)||50 USD / Page||----|
|Presenters Only||280 USD||430 USD||----|
|Listeners||200 USD||250 USD||300 USD|
|Social Networking Event||80 USD||----|
● Student rate is given to the author(s) of a paper whose first author/presenter is a student with student card.
● All the authors are welcome to join in IACSIT and enjoy member discount at all IACSIT conferences.
● If the length of the full paper exceeds 5 pages, the cost of each extra page is 60 USD/page.
● On July 29, 2019, an optional Social Networking Event will be arranged. Participants will be charged an additional 80 USD for it.
● Please note that registration fees are not refundable and non-transferable.
|July 27, 2019||10:00-17:00||Arrival and Registration|
|July 28, 2019||09:00-12:00||Opening Remark and Keynote Speeches|
|July 28, 2019||13:30-18:00||
Parallel Session: Image and Signal
Parallel Session: Computer Science and Engineering
Parallel Session: Algorithm Design and System Modeling
Parallel Session: Communication Engineering and Information Network
|July 29, 2019||08:00-18:00||Social Networking Event|
with a population of over 9 million inhabitants,
is one of the biggest cities in the world. Its
heavy traffic congestion, intense heat and
naughty nightlife do not immediately give
visitors a warm welcome. But it is one of Asia’s
most cosmopolitan cities with magnificent
temples and palaces, extensive canals, a vibrant
nightlife and great shopping, that has something
for every traveler.
Due to the city’s congested traffic, the best transport options around Bangkok are the Skytrain, the metro and tuk-tuks. A memorable way to experience Bangkok is by a boat ride on the canals.
Grand Palace & Wat Prakeaw Wat Arun Lumphini Park Dusit Palace
The above information is from touropia, click to know more.
The secretary office
of ICCFI 2019 will deal with the daily
All paper review process will be completed by
Program Technical Committee.
If you have any question, please feel free to contact us.
Office Hour: 09:30--12:00, 14:00--18:00, Monday to Friday (GMT+8 Time Zone)