| Vol-3198 urn:nbn:de:0074-3198-4 Copyright © 2022 for the individual papers by the papers' authors. Copyright © 2022 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# ATAIT 2022
Advanced Technologies and Applications in the Internet of Things 2022

### Proceedings of the 4th International Symposium on Advanced Technologies and Applications in the Internet of Things (ATAIT 2022)

### Ibaraki and Virtual, Japan, August 24-26, 2022.

Edited by

### Hiroki Nishikawa *
Xiangbo Kong **

* Graduate School of Information Science and Technology, Osaka University, 1-5 Yamada-oka, Suita, Osaka, 565-0871, Japan
** Department of Electronic and Computer Engineering, College of Science and Engineering, Ritsumeikan University, 1-1-1 Noji-Higashi, Kusatsu, Shiga 525-8577, Japan

## Table of Contents

### Preface

- Introduction
  Summary: There were 14 papers submitted for peer-review to this symposium. Out of these 11 papers were accepted for this volume, 5 as regular papers and 6 as short papers.

### Invited Talks

- Ultrasonic Audio-spot and Potential Applications in Internet of Things
  Yuting Geng
- Multimodal Deep Learning in Healthcare
  Jiaqing Liu

### Regular Papers

- Gait Classification of Common Pedestrians and Smartphone Zombies Using Micro-Doppler Radar 1-6
  Kazuki Yasuda, Teppei Tsuyuhara, Masao Masugi, Kenshi Saho
- A Case Study on Forehand Footwork Mistake Detection in Table Tennis 7-16
  Hiroki Matsumiya, Xiangbo Kong, Ami Tanaka, Hiroki Nishikawa, Hiroyuki Tomiyama
- Dementia Diagnose Based on Machine Learning Using Doppler Radar Image for the Elderly Person 17-24
  Ryoto Ishibashi, Naoto Nojiri, Kenshi Saho, Lin Meng
- A survey of model pruning for deep neural network 25-34
  Zhuo Li, Lin Meng
- Delivery Drone Routing under Load-dependent Flight Speed based on Integer Quadratic Programming 35-42
  Mao Nishira, Hiroki Nishikawa, Xiangbo Kong, Hiroyuki Tomiyama
- Monocular Thermal Camera Depth Estimation with Optical Flow for Autonomous Drones 43-52
  Tomoyasu Shimada, Hiroki Nishikawa, Xiangbo Kong, Hiroyuki Tomiyama
- A Heuristic Scheduling Algorithm with Variable-Cycle Approximate Functional Units in High-Level Synthesis 53-59
  Koyu Ohata, Hiroki Nishikawa, Xiangbo Kong, Hiroyuki Tomiyama
- An Accuracy-Controllable Approximate Adder for FPGAs 60-66
  Masaki Sano, Hiroki Nishikawa, Xiangbo Kong, Hiroyuki Tomiyama, Tongxin Yang, Tomoaki Ukezono, Toshinori Sato
- Evaluation of Power Analysis Attack Resistance of Masked Adders on FPGA 67-74
  Yilin Zhao, Qidi Zhang, Hiroki Nishikawa, Xiangbo Kong, Hiroyuki Tomiyama
- Deep Learning-Based Side-Channel Attacks against Software-Implemented RSA using Binary Exponentiation with Dummy Multiplication 75-84
  Seiya Shimada, Kunihiro Kuroda, Yuta Fukuda, Kota Yoshida, Takeshi Fujino
- Deep Learning Side-Channel Attacks against Hardware-Implemented Lightweight Cipher Midori 64 85-94
  Madoka Sakou, Kunihiro Kuroda, Yuta Fukuda, Kota Yoshida, Takeshi Fujino

2022-08-14: submitted by Hiroki Nishikawa, metadata incl. bibliographic data published under Creative Commons CC0
2022-08-23: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|