Jung-Hong Hong
Biographic Data
| ID | 9964883 |
|---|---|
| NAME | Jung-Hong Hong |
| GIVEN NAMES | Jung-Hong |
| FAMILY NAME | Hong |
| SIGNATURE | HONG J |
| AFFILIATIONS | National Cheng Kung University |
| ORCID | 0000-0002-5191-5257 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Integration of Heterogeneous Sensor Systems for Disaster Responses in Smart Cities
Smart cities represent a new perspective on modern urban development. They involve an information infrastructure environment with application intelligence to improve operational efficiency and welfare effectively. However, understanding how to overcome the barriers of data fragmentation and heterogeneity to exploit the strengths of existing resources and create integration effects remains a key challenge in smart city development. This research f…
Using GIS to Understand Healthcare Access Variations in Flood Situation in Surabaya
This paper proposes to identify the variation of accessibility to healthcare facilities based on vulnerability assessments of floods by using open source data. The open source data comprises Open Street Map (OSM), world population, and statistical data. The accessibility analysis is more focused on vulnerable populations that might be affected by floods. Therefore, a vulnerability assessment is conducted beforehand to identify the location where …
A Comparison Study of Landslide Susceptibility Spatial Modeling Using Machine Learning
One hundred seventeen landslides occurred in Malang Regency throughout 2021, triggering the need for practical hazard assessments to strengthen the disaster mitigation process. In terms of providing a solution for investigating the location of landslides more precisely, this research aims to compare machine learning algorithms to produce an accurate landslide susceptibility model. This research applies three machine learning algorithms composed o…
D Perspective towards the Development of a Metadata-Driven Sharing Mechanism for Heterogeneous CCTV Systems
The installation of closed-circuit television monitors (CCTV) has rapidly increased in number ever since the 11 September attacks. With the advantages of direct visual inspection, CCTV systems are widely used on various occasions that require instantaneous and long-term monitoring. Especially for emergency response tasks, the prompt availability of CCTV offers EOC (Emergency Operation Center) commanders much better action reference about the repo…
No prominent works on this page.
D Perspective towards the Development of a Metadata-Driven Sharing Mechanism for Heterogeneous CCTV Systems
The installation of closed-circuit television monitors (CCTV) has rapidly increased in number ever since the 11 September attacks. With the advantages of direct visual inspection, CCTV systems are widely used on various occasions that require instantaneous and long-term monitoring. Especially for emergency response tasks, the prompt availability of CCTV offers EOC (Emergency Operation Center) commanders much better action reference about the repo…
Using GIS to Understand Healthcare Access Variations in Flood Situation in Surabaya
This paper proposes to identify the variation of accessibility to healthcare facilities based on vulnerability assessments of floods by using open source data. The open source data comprises Open Street Map (OSM), world population, and statistical data. The accessibility analysis is more focused on vulnerable populations that might be affected by floods. Therefore, a vulnerability assessment is conducted beforehand to identify the location where …
A Comparison Study of Landslide Susceptibility Spatial Modeling Using Machine Learning
One hundred seventeen landslides occurred in Malang Regency throughout 2021, triggering the need for practical hazard assessments to strengthen the disaster mitigation process. In terms of providing a solution for investigating the location of landslides more precisely, this research aims to compare machine learning algorithms to produce an accurate landslide susceptibility model. This research applies three machine learning algorithms composed o…
Integration of Heterogeneous Sensor Systems for Disaster Responses in Smart Cities
Smart cities represent a new perspective on modern urban development. They involve an information infrastructure environment with application intelligence to improve operational efficiency and welfare effectively. However, understanding how to overcome the barriers of data fragmentation and heterogeneity to exploit the strengths of existing resources and create integration effects remains a key challenge in smart city development. This research f…
Computer Science (4 works) · Business (2 works) · Cartography (2 works) · Computer security (2 works) · Data mining (2 works) · Engineering (2 works) · Environmental Science (2 works) · Geography (2 works) · Metadata (2 works) · World Wide Web (2 works)