No abstract

This paper applied Ant Colony Optimization (ACO) to develop a resource constraints scheduling model to achieve the resource allocation optimization and the shortest completion time of a project under resource constraints and the activities precedence requirement for projects. Resource leveling is also discussed and has to be achieved under the resource allocation optimization in this research. Testing cases and examples adopted from the international test bank were studied for verifying the effectiveness of the proposed model. The results showed that the solutions of different cases all have a better performance within a reasonable time. These can be obtained through ACO algorithm under the same constrained conditions. A program was written for the proposed model that is able to automatically produce the project resource requirement figure after the project duration is solved.

Emotion detection is a fundamental component in the field of Affective Computing. Proper recognition of emotions can be useful in improving the interaction between humans and machines, for instance, with regard to designing effective user interfaces. This study aims to understand the relationship between emotion and pupil dilation. The Tobii Pro X3-120 eye tracker was used to collect pupillary responses from 30 participants exposed to content designed to evoke specific emotions. Six different video scenarios were selected and presented to participants, whose pupillary responses were measured while watching the material. In total, 16 data features (8 features per eye) were extracted from the pupillary response distribution during content exposure. Through logistical regression, a maximum of 76% classification accuracy was obtained through the measurement of pupillary response in predicting emotions classified as fear, anger, or surprise. Further research is required to precisely calculate pupil size variations in relation to emotionally evocative input in affective computing applications.

ABSTRACT

Purpose The credit card business has been one of the key businesses for banks in Taiwan. The purpose of this paper is to use competitive dynamics and structured context analysis (SCA) to explore the competition relationships among market, resources, and strategies concerning the credit card issued banks in Taiwan. Design/methodology/approach The market commonality and resource similarity analysis of competitive dynamics in the first stage obtained the competitive mapping of four major credit card issue banks, as well as the differences of competition strategy. In the second stage, 1,968 pieces of data on credit card news from 2013 to 2014 were collected. SCA was used to analyze the competitive action, competitive response, number of responses, response lag, and response order. Findings The competitor mapping and four hypothesis obtained from competitive dynamics correspond to the credit card competition strategy, as obtained from SCA. Originality/value This research combined competitive dynamics and SCA to analyze the credit cards market in Taiwan. The research model could be used in the other financial market.