| Project/Area Number |
22K12011
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (C)
|
| Allocation Type | Multi-year Fund |
|---|
| Section | 一般 |
|---|
| Review Section |
Basic Section 60060:Information network-related
|
|---|
| Research Institution | Osaka University |
|---|
Principal Investigator |
|
|---|
| Project Period (FY) |
2022-04-01 – 2025-03-31
|
| Project Status |
Granted (Fiscal Year 2023)
|
| Budget Amount *help |
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2024: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2023: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2022: ¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
|
|---|
| Keywords | Localization / Applied Machine Learning / Ubiquitous Computing / Wireless Networks / Spatial Intelligence / Geo-spatial science / Mobile Computing / Deep Learning |
|---|
| Outline of Research at the Start |
#1-study of existing methods. -Collecting and analyzing data.
#2-Designing and Implementing techniques that realize the concept. -Writing papers and preparing demos.
#3-Handling the different practical aspects. -Writing international papers and preparing demos.
|
| Outline of Annual Research Achievements |
In this phase, we significantly expanded our data collection efforts by integrating three additional testbeds, each with unique characteristics in terms of size, equipment, and participant demographics. This enabled us to develop and refine several advanced localization models, utilizing a variety of modalities such as RTT, RSSI, and CSI. These models significantly enhance the accuracy and reliability of our system. A critical achievement this year was establishing a robust proof of concept, which confirmed the feasibility of our system operating effectively across diverse building environments and network configurations. We further showcased our progress through demonstrations that highlighted our system's advanced capabilities and practical impacts.
To ensure broad dissemination of our findings, we authored and presented/published over 20 research papers at both national and international conferences and in journals. Our work has received considerable recognition in the academic community, as evidenced by several prestigious awards, including the SRC Sigspatial 2023 award, MBL Best Paper Award 2023, Best Poster Award at Sigspatial 2023, and the IEEE Japan Medal.
Moreover, we initiated collaborations with leading international researchers, which have opened new avenues for innovative research directions. These partnerships have already begun to yield fruitful interactions, enhancing our project's scope significantly. We are particularly focused on sustainability and privacy-preserving computing, crucial for advancing technologies in a socially responsible manner.
|
| Current Status of Research Progress |
Current Status of Research Progress
1: Research has progressed more than it was originally planned.
Reason
-Increased Familiarity with Subject Matter: Our growing expertise in the subject matter has significantly enhanced our efficiency in problem-solving and innovation.
-Effective Project Management: We have implemented strong project management strategies, including setting clear goals, establishing well-defined milestones, and efficiently allocating resources.
-Collaboration: Our team's collaboration with esteemed peers within our institution and top world-class researchers has greatly improved our productivity and problem-solving capabilities, accelerating our progress.
-Additional Resources: The hiring of Research Assistants (RAs) has expedited our data collection process, further contributing to our project's rapid advancement.
|
| Strategy for Future Research Activity |
In this phase, we successfully collected necessary data and developed the prototype system. Further, we wrote several conference papers that have been accepted. Moving forward, we plan to rigorously test the system under various conditions to evaluate its robustness and effectiveness. Concurrently, we aim to prepare detailed journal papers to document our methodologies and results comprehensively. We also plan to increase our outreach by presenting our work at upcoming national and international conferences, facilitating broader engagement and collaboration within the scientific community.
|
