This paper discusses the design of a non-immersive virtual environment for diagnosing dyslexic children’s visual-spatial potential called D-Potensi and the diagnostic testing of the prototype. The design of the virtual environment is based on the adaption of Sutcliffe's VR development methodology, comprising four activities: (i) determining type of VR, (ii) selecting modalities and interaction ...

BACKGROUND Supportive cancer care (SCC) has historically been provided by organizations that work independently and possess limited inter-organizational coordination. Despite the recognition that SCC services must be better coordinated, little research has been done to examine inter-organizational relationships that would enable this goal. OBJECTIVE The purpose of this study was to describe r...

Abstract General faults in regular electrical railways system could be detect by implementing the specific protection functions such as ground fault or sensitive earth fault. Otherwise, in ungrounded electrical railway systems which using both feeding and return contact rail at the same time, fault detection cannot done with above-mentioned function. Due to recent growth in electrical railway ...

american foulbrood (afb) disease is caused by the sporeforming bacterium paenibacillus larvae larvae. traditional diagnosis is based on culture technique is time and laboratory work consuming. in this study with standard strain, pcr was developed by specific primers and pcr products were electrophoresed on 0.8 % agarose gel. the pcr primers were selected on the basis of the 16s rrna gene and am...

Mechanical defects of a vehicle driving system can be dangerous on the road. Diagnostic systems, which monitor operations of electric and electronic elements and devices of vehicles, are continuously developed and improved, while defects of mechanical systems are still not managed properly. This article proposes supplementing existing on-board diagnostics with a system of diagnosing selected de...

objectives in order to increase the classification accuracy of airs, this study introduces a new hybrid system that incorporates a support vector machine into airs for diagnosing tuberculosis. background tuberculosis (tb) is a major global health problem, which has been ranked as the second leading cause of death from an infectious disease worldwide. diagnosis based on cultured specimens is the...

In this paper, we propose an ensemble method based on bagging and decision tree to resolve the problem of diagnosing out-of-control signals in multivariate statistical process control. To classify the out-of-control signals, we obtain a series of classifiers through ensemble learning on decision tree. Then we will integrate the classification results of multiple classifiers to determine the fin...

The premise of model-based diagnosis is that the system for diagnosing is diagnosable. Previous methods to diagnose fault are mainly based on the assumption of abrupt change, and under this kind of assumption, unpredictable fault can be caused by those possible slowly changing fault or that the system cannot be diagnosed. Diagnosability of slowly changing fault is discussed in this essay, and t...

A system for diagnosing troubles encountered in large scale industrial refrigeration units with screw compressors, is presented by introducing the concept "probable state" of a component. The diagnosis process is implemented by examining the expert methods of trouble-shooting, accordingly generating the abstract representations of the units. The proposed system is readily utilized and tested, s...

Fault detection and isolation, or fault diagnostic, of mechatronic systems has been subject of several interesting works. Detecting and isolating faults may be convenient for some applications where the fault does not have severe consequences on humans as well as on the environment. However, in some situations, diagnosing faults may not be sufficient and one needs to anticipate the fault. This ...