Previous studies have proved that partial information transmission can be found between intensity and pitch. In our last study, it was demonstrated that the timbre attribute can be transmitted as partial information between timbre and intensity. We manipulated the two attributes of stimulus, namely, timbre (piano vs. violin) and pitch (high vs. low), to find out whether they also have partial i...

The village public space provides villagers with a spatial carrier for various forms of communication activities. There is an interactive relationship between behavioral activities and places. This study investigates space, observes the characteristics famous nodes segmented streets, understands basic attributes specific measures studies system in Nuohei Village from multi-dimensional perspecti...

In many everyday situations, we bias our perception from the top down, based on a task or an agenda. Frequently, this entails shifting attention to a specific attribute of a particular object or scene. To explore the cost of shifting top-down attention to a different stimulus attribute, we adopt the task-set switching paradigm, in which switch trials are contrasted with repeat trials in mixed-t...

This paper presents a semi-automated method for evaluating SOAs called SOAQE, correcting defects observed so far with existing methods such as lacks of pertinence and accuracy for evaluation results. SOAQE takes as a starting point the McCall model, describing software quality, which led to an international standard for the evaluation of software quality (ISO/IEC 9126-1, 2001). This model is or...

We introduce a method for improving facial attribute predictions using other attributes. In the domain of face recognition and verification, attributes are high-level descriptions of face images. Attributes are very useful for identification as well as image search as they provide easily understandable descriptions of faces, rather than most other image descriptors (i.e. HOG, LBP, and SIFT). A ...

In this project, I integrated data about Fraser River salmon populations and develop an interactive data visualization tool that allows fisheries scientists and managers to explore this data at different spatial and temporal scales. The objective of this project is to provide fisheries scientists and managers with the tools to easily and comprehensively explore trends in salmon data, and discov...

This has much in common with traditional work in statistics and machine learning. However, there are important new issues which arise because of the sheer size of the data. One of the important problem in data mining is the Classificationrule learning which involves finding rules that partition given data into predefined classes. In the data mining domain where millions of records and a large n...

Introduction My research seeks to investigate the potential and learning effectiveness of using digital role-playing games to create situated learning experience for tertiary education students. The papers selected for this literature critique have a recurrent theme of identifying key attributes and characteristics of situated learning and how the instructional model could be successfully adopt...

In this work we present novel axes-based visualizations that can be used to explore and analyze multivariate time series data. We propose different types of interactive axes, which in turn can be used to compile novel 3D axes arrangements. The proposed axesbased visualizations utilize an exposed central time axis around which axes representing time-dependent attributes are arranged. Each depend...

We describe an interactive system for content based image retrieval. The system presents the user with 15 randomly selected images from the database. The user grades the images with one of five possible grades (YES, yes, neutral, no, NO) according to what he is looking for. The system returns the first 15 images with the highest probability of YES grade. The attributes used are a combination of...