The application of machine learning techniques for discovering patterns in data is becoming more and more important not only in computer science in general, but also especially in medical data mining. Regression modeling problems are to be solved in this context as well as classification problems, and also time series analysis methods are expected to become more and more important. In this pape...

Shannon's General Purpose Analog Computer (GPAC) is an elegant model of analog computation in continuous time. In this paper, we consider whether the set G of GPAC-computable functions is closed under iteration, that is, whether for any function f(x) 2 G there is a function F (x; t) 2 G such that F (x; t) = f (x) for non-negative integers t. We show that G is not closed under iteration, but a s...

We study a restricted version of Shannon’s General Purpose Analog Computer in which we only allow the machine to solve linear differential equations. This corresponds to only allowing local feedback in the machine’s variables. We show that if this computer is allowed to sense inequalities in a differentiable way, then it can compute exactly the elementary functions. Furthermore, we show that if...

Background: Work-related musculoskeletal disorders are major causes of absenteeism, increased costs, and human injuries among computer users. This study aimed to examine the effects of ergonomics training and corrective exercises on musculoskeletal disorders among a gas company computer users. Material and Methods: This experimental study was conducted on 19 office computer users who participa...

We describe our investigations towards creating a multi-user audiovisual painting canvas and its role in developing a more general-purpose infrastructure for multi-user orchestration of complex spatiotemporal patterns. The infrastructure consists of a device server for orchestrating multiple input controllers that send messages to a virtual interaction space.

The computer vision group at Berkeley EECS has a set of computers for research use, yet lacks an efficient framework to utilize the computational power. In this project, we propose a novel job queue system that is designed for the generalpurpose use in the group. Specific needs of the group such as being easy to use, multiple language support, and tolerance of different user styles are consider...

GRAPE (GRavity PipE) processors are special purpose computers for simulation of classical particles. The performance of MD-GRAPE, one of the GRAPEs developed for molecular dynamics, was investigated. The effective speed of MD-GRAPE was equivalent to approximately 6 Gflops. The precision of MD-GRAPE was good judging from the acceptable fluctuation of the total energy. Then a software named PEACH...

In this study, we initially investigated various aspects of requirements for a computer interface employed in receiver operating characteristic (ROC) and free-response ROC (FROC) observer studies which involve digital images and ratings obtained by observers (radiologists). Secondly, by taking into account these aspects, an all-purpose computer interface utilized for these observer performance ...

Particle In Cell (PIC) simulation using GRAPE-6 (G6), a special-purpose computer for gravitational N-body problems, is demonstrated. The calculation time is decreased by approximately 20 times, as compared to the usual method. There are two problems associated with simulation of plasma by the G6. First, G6 calculates only Coulomb force and three-dimensional (3D) calculations, which means that o...

A computer science learning environment (CSLE) is a computational application in which students may carry out programming exercises related to computer science concepts, such as an IDE. We propose creation of web-based CSLE systems, to provide a pedagogical platform that students find accessible, familiar, and relevant. Such a system could readily provide support for multimedia applications, le...