Iori Sasaki
Biographic Data
| ID | 9965692 |
|---|---|
| NAME | Iori Sasaki |
| GIVEN NAMES | Iori |
| FAMILY NAME | Sasaki |
| SIGNATURE | SASAKI I |
| AFFILIATIONS | Akita University |
| ORCID | 0000-0003-0216-8096 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Data-Driven Geofencing Design for Point-of-Interest Notifiers Utilizing Genetic Algorithm
This study proposes a method for generating geofences driven by GPS trajectory data to realize scalable point-of-interest (POI) notifiers, encouraging walking tourists to discover new local spots. The case study revealed that manual geofence settings degrade the location relevance and user coverage—key objectives of POI notifiers—and hinder the scalability and reliability of services. The formalization presented computationally equips geofence de…
Mobile Collaborative Heatmapping to Infer Self-Guided Walking Tourists’ Preferences for Geomedia
This paper proposes a model-less feedback system driven by tourist tracking data that are automatically collected through mobile applications to visualize the gap between geomedia recommendations and the actual routes selected by tourists. High-frequency GPS data essentially make it difficult to interpret the semantic importance of hot spots and the presence of street-level features on a density map. Our mobile collaborative framework reorganizes…
Articulated Trajectory Mapping for Reviewing Walking Tours
This paper addresses how to enrich a map-based representation for reviewing walking tours with the features of trajectory mapping and tracing animation. Generally, a trajectory generated by raw GPS data can often be difficult to browse through on a map. To resolve this issue, we first illustrated tangled trajectory lines, inaccurate indoor positioning, and unstable trajectory lines as problems encountered when mapping raw trajectory data. Then, w…
No prominent works on this page.
Articulated Trajectory Mapping for Reviewing Walking Tours
This paper addresses how to enrich a map-based representation for reviewing walking tours with the features of trajectory mapping and tracing animation. Generally, a trajectory generated by raw GPS data can often be difficult to browse through on a map. To resolve this issue, we first illustrated tangled trajectory lines, inaccurate indoor positioning, and unstable trajectory lines as problems encountered when mapping raw trajectory data. Then, w…
Mobile Collaborative Heatmapping to Infer Self-Guided Walking Tourists’ Preferences for Geomedia
This paper proposes a model-less feedback system driven by tourist tracking data that are automatically collected through mobile applications to visualize the gap between geomedia recommendations and the actual routes selected by tourists. High-frequency GPS data essentially make it difficult to interpret the semantic importance of hot spots and the presence of street-level features on a density map. Our mobile collaborative framework reorganizes…
Data-Driven Geofencing Design for Point-of-Interest Notifiers Utilizing Genetic Algorithm
This study proposes a method for generating geofences driven by GPS trajectory data to realize scalable point-of-interest (POI) notifiers, encouraging walking tourists to discover new local spots. The case study revealed that manual geofence settings degrade the location relevance and user coverage—key objectives of POI notifiers—and hinder the scalability and reliability of services. The formalization presented computationally equips geofence de…
Computer Science (3 works) · Artificial Intelligence (2 works) · Data Management and Algorithms (2 works) · Data mining (2 works) · Global Positioning System (2 works) · Human Mobility and Location-Based Analysis (2 works) · Trajectory (2 works) · Advanced Multi-Objective Optimization Algorithms (1 works) · Algorithm (1 works) · Animation (1 works)