A Text Selection Technique using Word Snapping

Conventional copy-and-paste technique for touch screen devices utilizes region handles to specify text snippet. The region handles appear so as to select the initially tapped word, and the user controls the region handles. Most of the text-selection task is performed at the boundary of words, however, the minimum movement unit of the region handle is still a character. We propose a context- sensitive text-selection method for the tablet OSs. For the initial consideration, we investigated a word-snapping method that meant a word as a minimum movement unit. From our experiment, we confirmed that the word-snapping method can significantly reduce the text-selection time if the target text consists of one or two words, and no line breaks exist.KES-2014 18th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, September 15-17, 2014, Gdynia, Polan

A Boxer architecture and interface

The Boxer computational environment shows great promise not just as a teaching tool, but as a ubiquitous computational medium. To date, research into Boxer has concentrated mainly on the social impact of such a media, while less effort has been expended on the implementation or interface aspects of the project. This thesis outlines a possible architecture for a new implementation of Boxer, taking advantage of some fields of computer science that have matured over the last decade. Also, a new user interface for Boxer has been developed with the intention of providing easier access to Boxer for new and infrequent users. This interface is described and evaluated

Redefining the audio editor.

This thesis describes new design principles for audio editing software. This kind of software, also called audio editor, is the digital cutting table for sound and music production in which audio can be loaded or recorded, then selected and edited. First an understanding of the audio editor is established. Then a new approach to audio editing software design is developed, based on research into current software. This new approach consists of a set of design principles that aim at improving coherency, flexibility and creativity in the audio editing process. These principles are formed by carefully rethinking core elements in audio editing such as audio representation, selection and manipulation, editing flexibility, automation and personalisation. As artefact of this research, a concept audio editor called OFFline is presented in a second section. This audio editor demonstrates a possible implementation of the new design principles

Vista: May 04, 2000

https://digital.sandiego.edu/vista/1241/thumbnail.jp

Bag-and-Dump: Design and Evaluation of a User Interface for manipulating items across multiple contexts.

The copy-and-paste paradigm is a fundamental operation in graphical user interfaces. However, existing copy-and-paste techniques have limitations, in particular in terms of efficiency and robustness against interruptions. This thesis is focusing on improving the user interface used to copy-and-paste objects across different contexts, such as a series folders. To improve this fundamental operation, a new copy-and-paste technique, called Bag-and-Dump, is proposed, implemented and evaluated. Bag-and-Dump aims to substantially reduce mouse movement by allowing the user to gather up (‘bag’) source data across different folders before ‘dumping’ the whole load at the destination. Additionally, Bag-and-Dump provides constant visual feedback in the form of a bag-like semantic cursor to increase robustness against interruptions. Bag-and-Dump was eval- uated against two standard copy-and-paste techniques (Keyboard Shortcuts and Drag-and-Drop) under a different number of contexts (folders) and with and without inter- ruptions. Results from the experiment not only showed that Bag-and-Dump indeed significantly reduces mouse movement, it also confirmed that Bag-and-Dump was 9% faster than Keyboard Shortcuts, one of the most popular copy-paste techniques among “expert users”

IT & C, Volumul 1, 2022

Revista IT & C este o publicație trimestrială din domeniile tehnologiei informației și comunicații, și domenii conexe de studiu și practică. Cuprins: EDITORIAL Cu sau fără Internet?, de Nicolae Sfetcu Supremația tehnologiilor IT&C, de Nicolae Sfetcu TEHNOLOGIA INFORMAȚIEI Tehnologia blockchain, de Nicolae Sfetcu Ciclul de viață al inteligenței artificiale, de Nicolae Sfetcu TELECOMUNICAȚII Rețelele de comunicații 5G, de Nicolae Sfetcu Proiectarea și arhitectura rețelelor de comunicații 5G, de Nicolae Sfetcu INTERNET Megadatele (Big Data) pe Internet, de Nicolae Sfetcu Cum funcționează Internetul, de Michael Mendez SOFTWARE Deschideți / Creați o imagine în Adobe Photoshop, de Nicolae Sfetcu Excel: Comenzi rapide și formatare de bază, de Nicolae Sfetcu PROGRAMARE Utilizarea limbajului de programare R în știința datelor cu RStudio, de Rafael A. Irizarry Tipuri de date atomice în Python, de Stephen Davies DEZVOLTARE WEB Servere web, de Michael Mendez Variabile în dezvoltarea WordPress, de Nicolae Sfetcu SECURITATE CIBERNETICĂ Securitatea informațiilor în lucrul cu megadate pe Internet, de Nicolae Sfetcu Securitatea Big Data: Amenințări, de Nicolae Sfetcu AFACERI ONLINE Proiectarea și modelarea tehnologiei blockchain – Bitcoin, de Nicolae Sfetcu Marketing de conţinut, de Nicolae Sfetcu MEDIA Analitica rețelelor sociale, de Nicolae Sfetcu Cercetare și aplicații în rețelele sociale, de Bogdan Batrinca și Philip C Treleaven ISSN 2971 – 9097 ISSN-L 2821 – 8469, DOI: 10.58679/IT8991

News and education : creation of "The Classroom Chronicle"

Thesis (M.S.)--Massachusetts Institute of Technology, Program in Media Arts & Sciences, 1994.Includes bibliographical references (p. 85-86).by L. Mark Kortekaas.M.S

Increasing Code Completion Accuracy in Pythia Models for Non-Standard Python Libraries

Contemporary software development with modern programming languages leverages Integrated Development Environments, smart text editors, and similar tooling with code completion capabilities to increase the efficiency of software developers. Recent code completion research has shown that the combination of natural language processing with recurrent neural networks configured with long short-term memory can improve the accuracy of code completion predictions over prior models. It is well known that the accuracy of predictive systems based on training data is correlated to the quality and the quantity of the training data. This dissertation demonstrates that by expanding the training data set to include more references to specific Python third-party modules, the quality of the predictions increase for those specific Python third-party modules without degrading the quality of predictions of the originally represented modules

Montana Kaimin, March 20, 2019

Student newspaper of the University of Montana, Missoula.https://scholarworks.umt.edu/studentnewspaper/8048/thumbnail.jp