Accepted Industry Forum Sessions
Fog Computing and Networking: Key Enablers for Emergent IoT Services and Applications in 5G/6G Environment
The Industry Panel shall cover both the Future Research Direction as well as Technology Commercialization for entrepreneurs leveraging Fog Computing and Networking. Panel members shall discuss road blocks and challenges with a view into mitigating strategies for 6G wireless in the future. Case studies on select next generation emerging IoT services shall be presented by notable invited speakers from both high-tech startups and academia from across Europe, Asia and US. The following topics shall be covered by the panel:
- OmniEyes: A Fog-based AI Platform for Interconnected Mobile Cameras
- Proximity-based Fog / Edge-based Intelligent Computing Platform
- Fog Computing for Robotics and Industrial Automation
- The Future Power-Edge Platform for the Smart Grid
- Fog-enabled Intelligent IoT Services
- Fog-based Machine Learning Platform for Video Analytics and Acoustic Monitoring Applications
Analytics and AI for Industrial IoT
It is said that AI is in the third wave now because of the rapid increase of data by IoT and the Deep Learning technology. IoT technology helps collecting the data from sensors, production machinery, and even human activity in Industrial IoT (IIoT), processing the collected data to visualize what’s happening in the real world (Digital Twin / Digital Transformation). And lastly, analyzing the data to provide insights to the stakeholders is the part AI works. However, the customers’ excessive expectation toward AI that “AI can solve so much problems” causes their easy and innocent request saying, “We have data and we just want you to improve our business by using AI!” This kind of unsatisfied expectation could ruin the AI’s potential. We all need the right understanding of Analytics and AI for IIoT and its challenges, in from fundamental to advanced level. In this panel, panelists will introduce and discuss the challenges and interest viewpoints many stakeholders face to build AI solutions on IIoT domain. Topics includes AI engine’s right and obligation, AI’s uncertainty, the challenges for open AI/IoT system, well used AI use cases, , etc.
Fogonomics for the Next Generation IoT Services
With the development of the Internet of Things technology, connected devices will generate an increasing amount of data every single day. It becomes a big challenge to analyze and create actionable information from the data. Fog computing, as a promising solution to extend the capability of Clouds, has attracted considerable attention. Fogs are lightweight distributed technology platforms. To improve efficiency and reduce the amount of data transported to the cloud for processing, analysis, and storage, it extends cloud computing and services to the edge of the network, bringing the advantages and power of the cloud closer to where data is created and acted upon. Fog computing aims to create a smart environment with networked devices, which distributes computing, storage, control, and networking functions in the most logical, efficient place between the data source and the cloud. To successfully build upon, integrate with, or create a fog environment requires an understanding of its common inner mechanics, architectural layers, and models, as well as an understanding of the business and economic factors that result from the adoption and real-world use of fog-based services. The panel shall focus on the business and economic aspects of fog computing and networking, also known as Fogonomics. The discussions, however, will be deeply rooted in the technology aspects of fog networks. We will talk about the roadblocks and challenges of designing effective and lightweight economic mechanisms and business models, for incentivizing distributed cooperation among fog-based devices and providing predictable fog-based services. Case studies will be presented by top researchers from leading academic institutions in Europe, Asia, and US. The following topics shall be covered by the panelists:
- Pricing mechanisms for fog resource sharing
- Auctions and contract design of fog resources
- Bargaining-based fog resource sharing
- Incentive schemes for energy-efficient fog computing
- Benefits and challenges in collaborative fog analytics
- Fog computing and machine learning applications: lessons from first experiments
GS-IoT: Geo-Spatial IoT for Industrial Applications
The world has extensive land and water resources that are essential for food supplies and industrial applications. It also has densely populated cities that pollute the air and water flowing through them, affecting vast territories beyond. In the last decade, it has become increasingly clear that monitoring and managing these remote regions is essential for our sustained growth and security, and that only autonomous and smart sensors can cover enough space to do what is needed. This panel will discuss several research programs that combine remote sensing and geo-spatial analytics to monitor and manage soil and water quality, greenhouse gas emission from cities, production quality for agriculture and aquaculture, remote pipelines, vegetation overgrowth, and disaster response. The speakers are key innovators in these fields. A new type of database designed for rapid and scalable archiving, retrieval, and analysis of multi-scale geo-spatial-temporal information will also be discussed.
Innovation and Practice of IOT in Medical Applications
This session will focus on various applications of IOT related technologies in medicine. Three speakers from university hospitals will present recent innovation and practice of IoT, big data, blockchain, and VR/AR in the medical domain. Their talks will emphasize on the operations in IoT environment.