This paper describes preliminary results from a study in which we apply machine learning (ML) algorithms to the data from the introductory physics MOOC 8.MReV to discover which of the instructional resources are most beneficial for students. First, we mine the logs to build a dataset representing, for each question, the resources seen prior to each answer to this question; Second, we apply Supp...

The development of a large theme park usually includes multiple phases. The combination and development ordering of facilities in these phases have a great impact on the attractiveness of the theme park. Examples of such facilities are attractions, food service, accommodation, and supporting facilities. Some of these facilities although highly profitable, cannot attract visitors on their own, w...

Since the advent of technologies available for teaching and learning, schools have been advocating considerable amount of their funds for the procurement of hi-tech technologies. Despite this huge investment, there is a little success achieved so far. It is obvious that technology integration is a complex and demanding issues and this puts more burdens on schools. On the other hand, technology ...

In this study, we try to apply SVMs to the semantic role labeling task, which is one of the multiclass problems. As a result, we propose a two-phase semantic role labeling model which consists of the identification phase and the classification phase. We first identify semantic arguments, and then assign semantic roles to the identified semantic arguments. By taking the two-phase approach, we ca...

Consumers who use electronic decision aids such as comparison-shopping agents may be overwhelmed by the amount of choice information available to them, leading to an inability to choose or dissatisfaction with the ultimate choice, a state of “choice overload.” Two experiments were designed to test the choice overload hypothesis. Eight choice tasks of different sizes were presented to subjects. ...

In this paper, distributed parameter process systems behavior is studied in frequency domain. Based on the dominant gain concept that is developed for such studies, a method is presented to control distributed parameter process systems. By using dominant gain concept, the location of open loop zeros, resulted from the time delay parameter in the process model, were changed from the right half p...

Although LCL filters are used widely in the grid connected inverters to reduce high-orderharmonics, such a system increases system order and therefore sustainable design of closed-loopcontroller system will be complicated. Recently, the single-loop control strategy has beensuggested for L or LC filter based grid-connected inverters. However, the use of single-loopcontrol directly in LCL filter-...

There is an increasing use of Multicriteria-Spatial Decision Support Systems in recent years for dealing with problems that have a spatial distribution of consequences. This growth might be explained by the widespread recognition that there are multiple and conflicting objectives to be considered in spatial planning (e.g. minimizing pollution to air, water and soil, increasing the acceptance of...

In this paper, we propose an effective clustering method, HRK (Hierarchical agglomerative and Recursive K-means clustering), to predict the short-term stock price movements after the release of financial reports. The proposed method consists of three phases. First, we convert each financial report into a feature vector and use the hierarchical agglomerative clustering method to divide the conve...

There are repeating patterns in the histories of communication technologies, including ordinary mail, the telegraph, the telephone, and the Internet. In particular, the typical story for each service is that quality rises, prices decrease, and usage increases to produce increased total revenues. At the same time, prices become simpler. The historical analogies of this paper suggest that the Int...