Ubiquitous systems use context information to adapt appliance behavior to human needs. Even more convenience is reached if the appliance foresees the user’s desires and acts proactively. This paper focuses on context prediction based on previous behavior patterns. The proposed prediction algorithms originate in branch prediction techniques of current high-performance microprocessors which are t...

BACKGROUND At present, there are no prognostic parameters unequivocally predicting treatment failure in early rheumatoid arthritis (RA) patients. We investigated whether baseline ultrasonography (US) findings of joints, when added to baseline clinical, laboratory, and radiographical data, could improve prediction of failure to achieve Disease Activity Score assessing 28 joints (DAS28) remission...

dna sequence, containing all genetic traits is not a functional entity. instead, it transfers to protein sequences by transcription and translation processes. this protein sequence takes on a 3d structure later, which is a functional unit and can manage biological interactions using the information encoded in dna. every life process one can figure is undertaken by proteins with specific functio...

Permeability, the ability of rocks to flow hydrocarbons, is directly determined from core. Due to high cost associated with coring, many techniques have been suggested to predict permeability from the easy-to-obtain and frequent properties of reservoirs such as log derived porosity. This study was carried out to put clustering methods (dynamic clustering (DC), ascending hierarchical clustering ...

This study proposes a methodology for predicting product failures occurring due to known failures and causalities. The prediction is based on failure propagation in an integrated model of a product, production process, and quality information (PPQ). This methodology enables a designer to predict new failures. One of the concepts for failure prediction is the PPQ for compiling referring to quali...

We consider a monitored system with observation Y (t) at time t modeled by a stochastic process, and where system failure is connected to the exceedance of some threshold for this process. Typically, the threshold is not exceeded under normal conditions, where the process Y (t) is supposed to show some kind of stationarity. However, due to unexpected events the process may leave the stationary ...

This paper presents a bearing run-to-failure data simulation model for condition based maintenance, in which a single point outrace fault can be implemented. According to the characteristic that bearings life follows the Weibull distribution, amount of bearing run-to-failure datasets can be simulated which can be used to verify the feature extraction, remaining useful life prediction and mainte...

Depending on the role of software in everyday life, the cost of a software failure can sometimes be unaffordable. During system execution, errors may occur in system components and failures may be manifested due to these errors. These errors differ with respect to their effects on system behavior and consequent failure manifestation manners. Predicting failures before their manifestation is imp...