16 Papers Accepted at ICDCN2026
16 papers accepted at ICDCN2026 in Nara, Japan (January 2026): 4 Workshop papers, 3 Doctoral Symposium papers, and 9 Poster/Demo presentations
Publications & Talks
UI COMPONENT CONSISTENCY CHECK
Components Showcase
Heading Components
PageTitle.astro
SAMPLE SUBTITLE
Sample Page Title
IndexSectionHeader.astro
SECTION HEADER
Section Header
This is a subtitle
In-page heading style examples
h1 - Main Heading
h2 - Large Heading (Theme Color)
h2 - Large Heading (with left border)
h3 - Medium Heading
h3 - Medium Heading (Gray)
h4 - Small Heading
Button Components
AngledAccentButton.astro
Tag Components
CategoryTag.astro - Small Size
Publications & Talks Awards Media Lab Life Events & Projects Others
CategoryTag.astro - Medium Size
Publications & Talks Awards Media Lab Life Events & Projects Others
CategoryTag.astro - Large Size
Publications & Talks Awards Media Lab Life Events & Projects Others
Card Components
CommonCard.astro
MemberCard.astro - Using actual data
Professor
Hirozumi Yamaguchi
山口 弘純
h-yamagu@ web
Specially Appointed Professor
Teruo Higashino
東野 輝夫
Professor, Kyoto Tachibana University
higashino@ web
Associate Professor
Akira Utiyama
内山 彰
uchiyama@ web
Associate Professor
Hamada Rizk
Hamada Rizk
hamada_rizk@ web
Associate Professor
Akihito Hiromori
廣森 聡仁
hiromori@ web
ActivityCard.astro - Using actual data
Three Presentations at IEEE AIoT2025
M2 Jiang, M2 Hirano, and M1 Tengis presented their research at IEEE AIoT2025.
Publications & Talks
Research Presentation at JSAI SIGAIs 2025
Research presentation and panel discussion at SIG-CSS during the JSAI Joint Research Meeting 2025 (SIGAIs 2025).
Publications & Talks
TopicCard.astro - Using actual data
Adaptive Message Scheduling Assisted by Natural Language Processing Models
This study proposes an adaptive message delivery mechanism for a broker in the WMO Information System 2.0 (WIS2.0), a ne...
WIS2.0 Pub/Sub Reinforcement Learning
Indoor Object Recognition with WiFi RSSI-Integrated Visual-Language Models
This study proposes a novel method for automatic object recognition and classification in indoor environments using visu...
Point Cloud Visual Language Model AIoT +3
Victim Detection Based on Shape Features from 3D Point Clouds
Japan experiences frequent natural disasters, including large-scale earthquakes. As seen in the case of the Great Hanshi...
Drone LiDAR Victim Detection
ResearchSectionDomainCard.astro - Using actual data
ResearchSectionTechnologyCard.astro - Using actual data
System Foundation Layer
- 🔄 CPS / Digital Twin / Urban OSTraffic and people flow simulation Urban modeling Real-time data integration Automated simulation and planning execution 3D point cloud processing technology Smart home simulation
- 🖥️ Distributed Systems / System SoftwareFederated learning Distributed optimization IoT data stream processing Real-time distributed simulation Real-time future prediction Pub/Sub Robot Operating System
Communication & Computing Foundation Layer
- 📡 Beyond 5G / 6G / IoT / SensingEnergy harvesting Reconfigurable Intelligent Surfaces (RIS) Wireless and radio-based human and environmental sensing Integrated Sensing and Communication Backscatter 3D LiDAR LoRa DR-IoT Multimodal sensing Channel State Information (CSI)
- 📱 Mobile / Edge / Ubiquitous / Wearable ComputingDistributed machine learning Device cooperative sensing Offload scheduling Energy-efficient communication Distributed situation understanding Semantic communication FPGA integration AR/VR/XR
Other Components
Breadcrumb.astro
PublicationItem.astro
Sample Research Paper Title: A Comprehensive Study on Mobile Computing
Yamada, T., Tanaka, H., and Suzuki, M.
Proc. International Conference on Mobile Computing (MobiCom 2025), pp.123-145, Tokyo, Japan, October 2025
DOI: 10.1145/examplePDF
📝 Design System Issues and Suggestions
Current Issues
- Inconsistent heading styles (diverse combinations of colors, sizes, and decorations)
- Card components are individually implemented for each use case
- Inconsistent color usage (theme-main, amber, blue, gray are mixed)
- Inconsistent spacing and padding values
Improvement Suggestions
- Unify heading components (managed by level and variant)
- Consolidate card components and differentiate by variant
- Define and utilize design tokens (colors, sizes, spacing)
- Build a unified design system with Tailwind custom configuration