2021 the 5th International Conference on Big Data and Internet of Things (BDIOT2021). The Conference will be held in
Singapore during August 13-15, 2021 co-located with
VRIP 2021 (2021 the 3rd International Conference on Virtual Reality and Image Processing).
The rapid advancement and ubiquitous penetration of mobile network, web based information creation and sharing, and software defined networking technology have been enabling sensing, predicting and controlling of physical world with information technology. Every business process can be empowered, and therefore, various industries redesign their business models and processes along Internet of Things (IoT) paradigm. The main purpose of BDIOT2021 is to provide an international platform for presenting and publishing the latest scientific research outcomes related to the topics of Big Data and Internet of Things.
Internet of Things (IOT) is a platform and a phenomenon that allows everything to process information, communicate data, analyze context collaboratively and in the service or individuals, organizations and businesses. In the process of doing so, a large amount of data with different formats and content has to be processed efficiently, quickly and intelligently through advanced algorithms, techniques, models and tools. This new paradigm is enabled by the maturity of several different technologies, including the internet, wireless communication, cloud computing, sensors, big data analytics and machine learning algorithms.
Big Data is another paradigm to describe processing of data to make it 'make sense' to people using IoT. Big Data has five characteristics: volume, velocity, variety, veracity and value. There are reports that businesses and research communities equipped with Big Data skills can provide additional incentives, opportunities, funding and innovation to their long-term strategies. The new knowledge, tools, practices, and infrastructures produced will enable breakthrough discoveries and innovation in physical science, engineering, mobile services, medicine, business, education, earth science, security and risk analysis.
BIG DATA RESEARCH
Big Data fundamentals - Services Computing, Techniques, Recommendations and Frameworks
Modeling, Experiments, Sharing Technologies & Platforms
SQL/NoSQL databases, Data Processing Techniques, Visualization and Modern Technologies
Analytics, Intelligence and Knowledge Engineering
Data Center Enabled Technologies
Sensor, Wireless Technologies, APIs
Networking and Social Networks
Data Management for Large Data
Security, Privacy and Risk
Software Frameworks (MapReduce, Spark etc) and Simulations
Modern Architecture
Volume, Velocity, Variety, Veracity and Value
Social Science and Implications for Big Data
Big Data as a Service (BDaaS) including Frameworks, Empirical Approaches and Data Processing Techniques
Big Data Algorithm, Methodology, Business Models and Challenges
Wireless Systems and Applications
New Service Models
Software Engineering for Big Data Analytics
Smart City and Transportation
Education and Learning
Business, Finance and Management
Large-scale Information Systems and Applications
Energy, Environment and Natural Science Applications
Social Networks Analysis, Media and e-Government
Proofs-of-concepts and Large-scale Experiments
Risk Modeling, Simulation, Legal Challenges
Open data: Issues, Services and Solutions
Earth Science Simulation and Processing
GPUs and Visualization
Case Studies of Real Adoption
Biomedical Experiments and Simulations
Healthcare Services and Health Informatics
Cancer and Tumor Studies with Big Data
DNA Sequencing, Organ Simulations and Processing
Volume, Velocity, Variety and Veracity
HCI and Gaming
INTERNET OF THINGS (IOT)
Network Design and Architecture
Software Architecture and Middleware
Mobile Services
Data and Knowledge Management
Context-awareness and Location-awareness
Security, Privacy and Trust
Performance Evaluation and Modeling
Networking and Communication Protocols
Machine to Machine Communications
Intelligent Systems for IOT and Services Computing
Energy Efficiency
Social Implications for IOT
Future of IOT and Big Data
Technological focus for Smart Environments
Next Generation Networks
Smart City Examples and Case Studies
Data Analysis and Visualization for Smart City, Green Systems and Transport Systems
Architecture for secure and interactive IOT
Intelligent Infrastructure and Guidance Systems
Traffic Theory, Modeling and Simulation
Sensor Networks, Remote Diagnosis and Development
Transportation Management
Pattern Recognition and Behavioral Investigations for Vehicles, Green Systems and Smart City
3D printing
Artificial Intelligence
Biotechnology
Communication
Data Processing
Electronic Technologies for in-vehicle
Internet of Things
Mode-to-Mode Systems
Nanotechnology
Sensors
Transport Safety and Mobility
Vehicle-to-Infrastructure
Vehicle-to-Vehicle
