In this paper, we study modeling of air traffic flow from flight trajectory data in the airspace. Compared to road/train traffic, modeling of air traffic flow is difficult because trajectory of each aircraft fluctuates in the 3-dimensional space due to various factors such as weather and congestion level. By this reason, finding important routes on which aircrafts frequently pass is necessary for building air traffic flow models. We propose a framework for finding important routes in the form of graphs based on combination of various technologies such as space partition, trajectory clustering, and skeleton extraction.

Based on the concept of spatial augmented reality (SAR), a number of applications have been developed by extending the type of target objects to include dynamically moving objects; however, the systems themselves still remain fixed. In this paper, we propose a new paradigm for dynamic SAR implemented with a mobile device and a practical architecture using a 3D-stacked vision chip and a high-speed optical gaze controller. We evaluated the prototype system that we developed, called “Portable Lumipen”, and confirmed that image capturing at 1000 fps, rapid processing and a 3 ms response time for projection were achieved on a mobile device. We also propose potential applications using this portable dynamic SAR system and demonstrated miniaturization of a high-speed visual feedback system.

The authors propose a method for recording and analyzing actual design processes, which is called the problem-product-knowledge (PPK) method. This method consists of two parts: a method for recording design activities and a framework for organizing the record. The recording method allows designers to record their activities easily, and the framework allows analysts to organize a record into a design process description and provides two different views of a design process: a problem solving process and a product generating process. The PPK model can be considered as a tool which analysts can use to construct a tree (or dag) of the designer's activity in a bottom-up manner. This tree/dag includes abstraction of both the problem-solving process and the product generating process. Such an abstraction greatly enhances the understandability of the design.>