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Hybrid Brain–Computer Interfaces and Their Applications
Published in Chang S. Nam, Anton Nijholt, Fabien Lotte, Brain–Computer Interfaces Handbook, 2018
Based on the BCI mouse, several computer applications, including a BCI-based Internet browser (Yu et al. 2012), a BCI-based mail client (Yu et al. 2013), and a BCI-based file explorer, were implemented. In Yu et al. (2012), the authors proposed a BCI mouse-based web browser, in which common navigation functions are available, including traversing forward or backward through browsing history, selecting hyperlinks, scrolling through pages, and inputting text. Moreover, Yu et al. (2013) also proposed a hybrid BCI–based mail client that implemented electronic mail communication. Using this BCI mail client, the users are able to receive, read, write, and attach files to e-mails. Bai et al. (2015) proposed a hybrid BCI combining P300 and MI to operate an explorer. Using this system, users can access a computer and manipulate (open, close, copy, paste, and delete) files, such as documents, pictures, music, movies, and so on.
Advertising and Sponsorship on the Web
Published in Marsha Ann Tate, Web Wisdom, 2018
For individuals using shared computers, browsers provide a private browsing option that will help a user keep “web activities hidden from other people who use the same computer.” When “private browsing [is] turned on,” the browser will not store passwords, cookies, the browsing history, search records, or files downloaded during the session (U.S. Federal Trade Commission 2016).
A Toolkit for Prototyping Tabletop-Centric Cross-Device Interaction
Published in International Journal of Human–Computer Interaction, 2020
Since the tabletop represents a public space, it is not appropriate for storing personal information. Consequently, a user has to manually type in information on the tabletop even if the information is already available on his/her smartphone. However, manual input is error prone and time consuming, particularly when the input is long and complex. Since much personal information is stored in the user’s smartphone, our Autofill technique transfers personal information from a smartphone to a tabletop, and thus reduces the effort of data entry. For example, in web browsing, the autofill technique allows a user to choose a web URL from his/her browsing history saved in the smartphone and displays the selected web site on the tabletop. The autofill technique replaces free-style typing with selection, which potentially reduces the error rate (Shneiderman & Plaisant, 2009). Figure 2(a) shows a web browser displaying a website on the tabletop. After a user taps an address bar through the smartphone (See Figure 2(b)), a dropdown list that records the user’s browsing history is displayed on the smartphone (See Figure 2(c)). When the user selects a favorable website from the dropdown list, the web browser on the tabletop is updated accordingly (See Figure 2(d)).
Application of fault propagation intensity in fault diagnosis of CNC machine tool
Published in Journal of the Chinese Institute of Engineers, 2020
Yingzhi Zhang, Liming Mu, Jialin Liu, Jintong Liu, Zhifu Tian, Yilong Zhang
The basic idea of the PageRank algorithm is as follows. Assume that the web page visited by a user is not related to the user’s past browsing history but depends on the existing browsing state. Hence, this process can be regarded as a Markov process. The whole Internet system is abstracted into a directed graph composed of a set of page nodes and its associated directed edge set . If page can link to page , page is passed to page with an importance degree value (value). The importance of this value depends on the size of page (value) and the chain number. The importance degree of any page is passed equally to the page to which it is linked. This link between web pages enables the calculation process to continuously iterate. Finally, the values are sorted according to the values after the page is iterated. Therefore,