Many software reliability growth models (SRGMs) have been developed to estimate some useful measures such as the mean value function, number of remaining faults, and failure detection rate. Most of these models have focused on the failure detection process and not given equal priority to modeling the fault correction process. But, most latent software errors may remain uncorrected for a long ti...

heart failure is common in patients with chronic renal disease, either as a complication of renal failure or from shared risk factors, or is the major cause of death in patients on dialysis. at present, end stage renal disease (esrd) patients who have systolic heart failure are considered high-risk for surgery; and nephrologists and cardiologists are reluctant to refer these patients for kidney...

We investigate the problem of detecting termination of a distributed computation in systems where processes can fail by crashing. Specifically, when the communication topology is fully connected, we describe a way to transform any termination detection algorithm A that has been designed for a failure-free environment into a termination detection algorithm B that can tolerate process crashes. Ou...

Failure mode and effects analysis (FMEA) has been proven to be an effective methodology to improve system design reliability. However, the standard approach reveals some weaknesses when applied to wind turbine systems. The conventional criticality assessment method has been criticized as having many limitations such as the weighting of severity and detection factors. In this paper, we aim to ov...

We investigate how path failure influences Concurrent Multipath Transfer (CMT) using SCTP multihoming. We show that CMT suffers from significant ‘‘receive buffer blocking” which degrades performance during both permanent and short-term failure. To improve performance, we introduce a new ‘‘Potentially-Failed” (PF) destination state, and revise CMT’s failure detection and (re)transmission policie...

This paper proposes novel metrics to evaluate the performance of object detection algorithms in video sequences. The proposed metrics allow to characterize the methods being used and classify the types of errors into region splitting, merging or merge-split, detection failures and false alarms. This methodology is applied to characterize the performance of five segmentation algorithms. These te...

Minnetronix has been working with Penn St. University since 1996 to develop transcutaneous energy transmission systems (TETS) initially to support the electronic total arti cial heart (ETAH) [1]. Recently, Minnetronix and Penn St. University developed an implantable motor controller and transcutaneous energy transmission system to support continuous ow VADs (Figure 2). The following improvement...

Today, many industrial companies must face problems raised by maintenance. In particular, the anomaly detection problem is probably one of the most challenging. In this paper we focus on the railway maintenance task and propose to automatically detect anomalies in order to predict in advance potential failures. We first address the problem of characterizing normal behavior. In order to extract ...

Real-Time Supervision is a technique for automatically detecting and reporting failures in the external behaviour of real-time software systems. Failure detection is achieved by monitoring the target system’s external inputs and outputs, in a ‘black box’ manner, and comparing its behaviour with the formally specified behaviour of

Background: Acute myocardial infarction (MI) accounts for one third of deaths. Cardiac troponin I (TnI) is a reliable biomarker of cardiac muscle tissue injury and is employed in the early diagnosis of MI.Objectives: In this study, a molecular method is introduced to early diagnosis of MI by rapid detection of TnI.Materials and Methods: The detection method was based on electrochemical aptasens...