The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy : Volume 1 / SPIoT-2020. John MacIntyre, Jinghua Zhao, Xiaomeng Ma, editors.

This book presents the proceedings of The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT-2020), held in Shanghai, China, on November 6, 2020. Due to the COVID-19 outbreak problem, SPIoT-2020 conference was held online by Tencent Meeting....

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Bibliographic Details
Corporate Author: SPIoT (Conference) Online)
Other Authors: MacIntyre, J. D. (John D.) (Editor), Zhao, Jinghua (Editor), Ma, Xiaomeng (Editor)
Format: eBook
Language:English
Published: Cham, Switzerland : Springer, [2021]
Series:Advances in intelligent systems and computing ; 1282.
Subjects:
Online Access:Click for online access
Table of Contents:
  • Intro
  • Foreword
  • Organization
  • General Chairs
  • Program Chairs
  • Publication Chairs
  • Publicity Chairs
  • Local Organizing Chairs
  • Program Committee Members
  • 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT-2020)
  • Conference Program
  • Greeting Message
  • Conference Program at a Glance Friday, Nov. 6, 2020, Tencent Meeting9:50-10:00Opening ceremonyJinghua Zhao10:00-10:40Keynote 1: John Macintyre10:40-11:20Keynote 2: Junchi Yan11:20-11:40Best Paper AwardsXiaomeng Ma14:00-18:00Session 1Shunxiang ZhangSession 2Xianchao WangSession 3Xiao WeiSession 4Shaorong SunSession 5Ranran LiuSession 6Jun YeSession 7Qingyuan ZhouShort papers poster
  • SPIoT 2020 Keynotes
  • The Next Industrial Revolution: Industry 4.0 and the Role of Artificial Intelligence
  • Unsupervised Learning of Optical Flow with Patch Consistency and Occlusion Estimation
  • Oral Presentation Instruction
  • Short Paper Presentation Instruction
  • Registration
  • Contents
  • Novel Machine Learning Methods for IoT Security
  • The Innovation of UI Design Courses in Higher Vocational Colleges Based on the Internet Perspective
  • Abstract
  • 1 Introduction
  • 2 UI Design Development History
  • 2.1 User Interface Design
  • 2.2 Functional User Interface Design
  • 2.3 Humanistic User Interface Design
  • 2.4 Humanistic User Interface Design
  • 3 The Current State of UI Design Courses
  • 3.1 The Teaching Status of UI Design Courses in Vocational Colleges
  • 3.2 Deficiencies in UI Design Course Teaching
  • 4 Innovative Suggestions for UI Design Courses from the Perspective of the Internet
  • 4.1 Offer Relevant Courses in Combination with Employment Orientation
  • 4.2 The Improvement of Teachers' Professional Skills
  • 4.3 Using the Internet to Adopt Mathematical Design
  • 5 Conclusion
  • Acknowledgments
  • References
  • Predicting the Getting-on and Getting-off Points Based on the Traffic Big Data
  • Abstract
  • 1 Introduction
  • 2 Data Cleaning
  • 2.1 First Round of Data Cleaning
  • 2.2 Second Round of Data Cleaning
  • 3 Algorithm Selection
  • 3.1 K-Means
  • 3.2 DBscan Algorithm
  • 3.3 Algorithm Selection
  • 4 Model Establishment Based on Dbscan Algorithm
  • 4.1 Modeling
  • 4.2 Clustering
  • 5 Visualization Section
  • 5.1 Implementation Process
  • 5.2 Track Correction
  • 6 Implementation Process and Experimental Results
  • References
  • The Prediction Analysis of Passengers Boarding and Alighting Points Based on the Big Data of Urban Traffic
  • Abstract
  • 1 The Introduction
  • 2 Data Cleaning
  • 2.1 Data Cleaning in Non-Yan'an Area
  • 2.2 Cleaning up Wrong Data and Missing Key Data Items