International Embedded Systems Innovation Forum (free of charge)
-
Session : Artificial Intelligent (Machine Learning and Edge Computing)
Host： Allan He “MCU and Embedded System Application Journal ” Deputy Director of Editorial Board
| Time | Topic | Guest |
|---|---|---|
| Time | Topic |
Guest
Tao Luo |
| Time | TopicBringing Advanced Imaging Capabilities to Intelligent Vision Devices |
Guest
Liming Li |
| Time | TopicArtificial Intelligence Under a System Technology Perspective |
Guest
PengchengZou |
| Time | TopicEmbedded Artificial Intelligence Technology Development and Application |
Guest
Bi Sheng |
-
Session : Internet of Things (Industrial IoTand IoTSecurity)
Host： Dr.YongXie Xiamen University of Technology Associate Professor
| Time | Topic | Guest |
|---|---|---|
| Time | TopicIoT Test Challenges |
Guest
MerdanElbistan |
| Time | TopicCondition Based Monitor for Industry 4.0 |
Guest
Fan Wang |
| Time | TopicFunction Safety and Information Security Based on STM32 in Industrial Application |
Guest
Andre Tan |
| Time | Topic | Guest |
| Time | TopicNXP IoTand AI Edge Computing Solution Introduction |
Guest
Yi Fang |
| Time | TopicA Comparative Study and Analysis of Three IoTOS |
Guest
Allan He |
-
Allan He
Editorial Board, MCU and Embedded System Application Journal | Deputy Director
Allan He is a well-known expert on embedded systems, the founder of BMR., and deputy director of Editorial Board of "Microcontroller and Embedded System Applications". Allan is also the director of China Software Industry Association, vice chairman of Embedded Systems Branch and Secretary General of Embedded Systems Forum . He has published numerous books and translations such as "Embedded Operating System: History of Developmemnt and Future of in the Internet of Things," "Embedded Software The works " Allan was teaching course in the colleages and enterprise
A Comparative Study and Analysis of Three IoT OS
The speech reviewed the development of the Internet of Things operating system and discussed its basic technical features. This speech focuses on the functions and development methods of Amazon FreeRTOS, Huawei Lite OS and RT-thread, and compares them. Finally, the trend of the Internet of Things operating system is forecasted.
-
-
Pengcheng Zou
Thundersoft | CTO
Pengcheng Zou, Joined Thundersoft in 2008. Pengcheng has been involved in Open Source-related business and technology development since his graduate study at University of Notre Dame, working at Thundersoft on various Linux- and Android-related projects, including the first Mobile Linux platform (Midinux) on Intel Platform, Smartbook OS, Qualcomm Reference Design (QRD) and many Android and HTML5 related products. Previously he had positions of R&D manager at NEC and Red Flag. He holds a bachelor’s degree of EE at Tsinghua University and a master’s degree in computer science at the University of Notre Dame.
Artificial intelligence under a system technology perspective
AI technology will surely promote the intelligent development of all spheres in a deeper way. Data and algorithm have always been the focus of artificial intelligence. With the in-depth promotion of application, issues related to intelligent system development, including intelligent chip, intelligent facility, intelligent framework, intelligent application, and intelligent cloud have been more prominent and important. This introduction will clarify the state of intelligent technology, development tendency and application within the industry from the terminal system.
-
Bi Sheng
South China University of Technology Associate | Professor
Bi sheng is an associate professor at south China university of technology. He is engaged in the research and development of Intelligent Robots, Embedded Artificial Intelligence Technology and Smart Phones. He has presided and participated in more than 10 national and provincial projects.Published more than 30 papers on EI index and 5 papers on SCI index.Authorized invention and applied for more than 10 patents.
Embedded artificial intelligence technology development and application
At present, how to effectively run artificial intelligence algorithm on the embedded platform is a hot issue. Based on this, the report is expanded, mainly including the following points :(1)The common hardware,software and interface technology that is based on the embedded intelligence technology developments. (2) The ideas and methods for the optimization and implementation of artificial intelligence algorithm that is deployed on embedded platform.(3) The process and method of artificial intelligence algorithm that is deployed on embedded platform.(4) The whole process of artificial intelligence algorithm optimization, test and analysis that is deployed on the embedded platform with specific examples.
-
Yi Fang
NXP | Marketing Manager
Yi Fang graduated from Xidian University with a Master's degree in Telecommunication Engineering. He is currently working in NXP as a marketing manager and is mainly responsible for the marketing of wireless Microcontrollers in Greater China. He has rich professional experience in low power wireless communication, IoT and edge computing.
NXP IoT and AI Edge Computing Solution Introduction
This lecture firstly introduces the characteristics of different low-power wireless network standards, and NXP's wireless microcontroller products and gateway solutions. It includes BLE, Zigbee, Thread and other protocols and their typical applications in consumer, industry and automotive fields. In addition, with the development of Artificial Intelligence(AI), the demand for computing capability on embedded system has been further improved. Starting from typical application scenarios, this presentation also introduces NXP's edge computing solutions, machine learning development framework eIQ and cloud deployment framework EdgeScale.
-
-
Changtao Yu
Analog Devices shanghai Inc., | IAT Business Manager
Joined ADI since 2010. and present main responsibility is to make marketing strategy, explore new areas and go to market promotion.. Etc.
conditioin based monitor for industry 4.0
CBM builds a typical industril IoT use case. By collectiong a few kinds the machine working status parameters and sending to clould , end users may have a continious monitor on the machines and may predictively know what potential issue to be happen. In the speech, ADI valuealbe solutions will be introduced.
