In the era of information technology, combined applications with GIS and open data analysis are widely utilized in households, factories and urban infrastructures. Developments in Internet of Things (IoT), Cloud Computing, Intelligent Terminal, Artificial Intelligence, Virtual Reality, Big Data Analytics, Unmanned Aerial Vehicle and Building Information Modeling are not only enhancing the governing efficiency, but also escalating the public’s senses of wellbeing. To continue the success of International Smart Cities e-Forum 2020, the forum invites domestic and international experts in the smart city’s industry to share the experiences in smart cities establishment. It is ambitious to strengthen the multilateral cooperation and promoting the smart city development.
This report will introduce the development of smart cities in Korea, including the history of Korean smart city development, recent developments, case sharing and foreign cooperation, etc.
Three cases are provided with case sharing, while their characteristics and development are not the same. You can understand their key differences and the impact on their development.
Taiwan Data Cube (TWDC) is a highly efficient cloud computing platform supporting for multi-temporal analysis of Earth environmental changes in satellite images.
TWDC will lower the technical barriers for users to exploit the power of data (extending to UAV data) with versatile application algorithms.
TWDC can further provide substantial benefits to improve social wellbeing and achieve the SDGs across the communities, including governments, research institutes,industries, and academia.
Owing to the steep topography, young and weak geological formations, earthquakes, erodible soils and heavy rainfall brought by typhoons, Taiwan is subject to sediment-related disasters including debris flows and large scale landslides causing enormous losses of lives and properties in mountainous areas. The Council of Agriculture in Taiwan is the national-level department for the preparedness and mitigation works of debris flow and landslide hazards. Identification of the locations of potential areas is the first step for hazards mitigation. In this talk, we will introduce the comprehensive practical managements dealing with debris flow and large scale landslide including preparedness works, real time monitoring, emergency response and evacuation planning.
Nowadays, 3D Geographic Information Systems play an important role in many research and application fields such as environmental observation, locating and routing, urban management, and tourism. In this article, we present methodology and system development for a 3D GIS application at the scale of Vietnam National University Hanoi (VNU) campus. OGC CityGML standard is applied to this system. In addition, we proposed time dimension integrated into 3D GIS system. It displays weather phenomenons such as rain, storm, sun and day-night effects and synchronizes all to the reality by connecting to real-time time-zone and weather forecast systems. VNU virtual campus based on 3D GIS with time integration realize VNU and environments as in the reality and therefore, highlights system potential for guide and management.
GIS integrates data and organizes information can be visualized, analyzed, and help us understand our environment. The rise of data in decade, everyone has collected, created, published and shared any GIS data. Government also use GIS to make maps that help us communicate, and solve problems. This makes GIS applications growth and diversity. That created the other problems of resource capability.
In traditional GIS development and applications, fulfilling all service requirements of every user by individual standalone services was nearly impossible because of the costly labor, machines and infrastructures. In general operation, service is provided separately to clients after setting up the GIS development environment and its analysis tools. Due to the hardware and broadband restrictions, the service scale can hardly expand and the tools sharing mechanism cannot be established.
In traditional situation of GIS development, it is not possible for individual standalone services to meet all the service requirements of many users.
the rise of cloud computing makes it easier to have new platforms that anyone can make flexibility or simplicity of applications
The intersection of big data and artificial intelligence (AI), especially deep learning, is accelerating new geospatial data infrastructures from two-dimension (2D) to three-dimension (3D). 3D geospatial data is fundamental to create digital twins (i.e., a digital replica of physical things) and support new types of geospatial applications, such as autonomous vehicles, mixed-reality training systems, and urban environmental simulation. Next-generation mobility services like self-driving cars, robots, and drones requires 3D point cloud data that precisely represent the locations and shapes of objects/spaces for their movement decision by themselves. However, handling 3D point clouds brings many challenges in traditional GIS software due to its volume. In this talk, I will present PntML (Place and Time for Machine Learning) platform to manage a large volume of 3D point cloud data, integrate heterogenous point-cloud datasets, and generate personalized a spatial data infrastructure corresponding to the application requirements on demand.
The indoor network is the foundation of most indoor location-based services. A complete indoor network includes both floor-level paths and non-level paths, such as stairs, elevators, escalators, ramps, etc. Unlike those studies only discussing floor-level paths, this study proposed an algorithm that can automate the generation of non-level paths for stairs, elevators, and ramps. These indoor networks can be widely used for human way-finding in large-scale public building, such as shopping malls, commercial office buildings, metro stations, and airports.
The location of hydraulic structures or slope stabilization works is often located in places where people cannot easily reach, like the riverbeds or on the deep slopes. The defects on the surface of reinforced concrete structures, such as spalling and cracks, usually are found by close inspection or using high-resolution cameras. This pilot study attempts to use an UAV equipped with camera and high-resolution thermal detector to take photos of concrete structures that cannot be approached by people, and to use artificial intelligence to analyze cracks based on the thermal images.
The global spread of Covid-19 virus has created profound impact in every aspect of life. During the long period of lockdown, the online-meeting, teaching, and remote working have become as a new daily routine. To accomplish a deal or task via non-physical contact also become a new essential option in people’s range of choices. This dramatically urges the changes of traditional culture of seals in East Asia, which has been adopted in representing the persons’ authority for hundreds of years. Japan and China have announced the policy of replacing the seal by electric signature in 2020. In Taiwan, the recent rapid spread of Covid-19 infected cases also urges the demand of on-line contract signing and logging. The blockchain technology can be applied in the online- contract signing and logging, which would endorse the security and tamperproof of the on-line document and electric signature.