The communion between human is frequent in modern society, and mass media has become an important tool for people to obtain information about life and experience of the outside world as a result. TV is the medium that has the largest size, is the most common and the most contacted by people around the globe, and also has the largest influences on modern people. However, with the innovation of spreading technology, the Internet has become the second largest medium industry that is next to TV due to such features as two-way spreading, real time interaction, low cost and free selection etc. Both TV and the Internet are ranged side by side as the two great powerful medium nowadays, they are both capable of spreading words, graphics, sound, images and video data, leaving profound influences on the audience, but the two vary greatly in terms of their showed appearances and usage nature. This research is based on the theory of Belk situation, locks the audience¡¦s watching/ usage behaviors in a certain special time space; a questionnaire survey has been conducted on those audience who have the habit of watching TV and using the Internet in the three areas covering Pingtung, Kaohsiung and Tainan, the purpose of the survey is to explore the watching/usage ¡¥situation¡¦ and ¡¥behaviors¡¦ of those audience who watch TV and use the Internet and make contrast for the differences between the two groups; the main conclusions come after statistics and analysis as follows: I. The differences of watching/usage situations between TV and the Internet 1. Those audience who watch TV have their home as the main environment, while the Internet users have comparably more diversified network environment. 2. The social interactive capability of the Internet is better than that of TV; TV is the main interactive media with family members, while the Internet is the main interactive media with non family members. 3. The later the time interval is, the higher ratio of watching TV of the audience will be; the main time interval for using the Internet is in the morning and evening respectively. Furthermore, the interactive lasting time of using the Internet is longer than that of watching TV and so as the addiction. 4. Due to its own features different from that of the Internet, TV can guide the audience¡¦s purpose of behaviors. 5. Through the contact with the media, the audience can maintain various satisfaction levels in daily life at a certain stable one; watching TV can increase people¡¦s pleasure level and the mood is just so-so for most users of the Internet. II. Under different situations, the behavior differences between the audience of watching TV and using the Internet 1. In case the physical environment is different, the audience¡¦s watching/usage behaviors are varied in terms of purpose, time interval and the relation with the interactive objects. 2. In case the social life environment is different, and when the interactive objects of the audience are not family members, the time interval of starting using for their watching/usage behaviors become varied is in the morning. 3. In case the time structural surface is different, the time interval of starting using for their watching/usage behaviors become varied is in the morning, at the end of usage and become varied for the watching/using hours. 4. In case the task definition is different, the audience¡¦s watching/usage behaviors are varied in terms of ¡¥ceremonial usage¡¦ purpose and ¡¥tool usage¡¦ purpose. 5. In case the previous status is different, the two groups of audience have obvious relevant features for the physiology of watching/usage behaviors, and the influence from the Internet is higher than that from TV.

Trucks are designed, configured and marketed for various working environments. There lies a concern whether trucks are used as intended by the manufacturer, as usage may impact the longevity, efficiency and productivity of the trucks. In this thesis we propose a framework divided into two separate parts, that aims to extract costumers’ driving behaviours from Logged Vehicle Data (LVD) in order to a): evaluate whether they align with so-called Global Transport Application (GTA) parameters and b): evaluate the usage in terms of performance. Gaussian mixture model (GMM) is employed to cluster and classify various driving behaviors. Association rule mining was applied on the categorized clusters to validate that the usage follow GTA configuration. Furthermore, Correlation Coefficient (CC) was used to find linear relationships between usage and performance in terms of Fuel Consumption (FC). It is found that the vast majority of the trucks seemingly follow GTA parameters, thus used as marketed. Likewise, the fuel economy was found to be linearly dependent with drivers’ various performances. The LVD lacks detail, such as Global Positioning System (GPS) information, needed to capture the usage in such a way that more definitive conclusions can be drawn. / <p>This thesis was later conducted as a scientific paper and was submit- ted to the conference of ICIMP, 2020. The publication was accepted the 23th of September (2019), and will be presented in January, 2020.</p>