31532026
Bio-Inspired Reconfigurable Architecture for Reliable Systems
7674451
A Reconfigurable Self-Healing Embryonic Cell Architecture
The long-term goal of our work described in this paper is the development of a biologically-inspired cellular fault-tolerant hardware system. The basic structure of the system is a multi-cellular embryonic array that is capable of achieving self-diagnostics, self-repair and fault recovery. The ‘nucleolus’ of the cell is a general purpose function unit comprised of a 2-to-1 multiplexer and a Dtype flip-flop. Input and configuration data to the function unit are provided by the DNA segment memory and I/O router. A diagnostic logic monitors the error free operation of the cell. When an error is detected the diagnostic logic requests the reconfiguration unit to kill the cell, transferring its function to a fault-free neighbouring cell. Once permission is granted, the faulty cell is eliminated and becomes transparent. The functionality of each cell will shift in the array until a spare cell is found. Finally the whole embryonic array recovers. Fault-free operation is then continued.
39634221
Repair of the Genetic Material in Biologically Inspired Embryonic-Cell-Based Systems
13463425
Ontogenetic Cellular Hardware for Fault Tolerant Systems
2824619
Partial-DNA Supported Artificial-Life in an Embryonic Array
7696399
Noninvasive Three-Dimensional Cardiac Activation Imaging From Body Surface Potential Maps: A Computational and Experimental Study on a Rabbit Model
Three-dimensional (3-D) cardiac activation imaging (3-DCAI) is a recently developed technique that aims at imaging the activation sequence throughout the the ventricular myocardium. 3-DCAI entails the modeling and estimation of the cardiac equivalent current density (ECD) distribution from which the activation time at any myocardial site is determined as the time point with the peak amplitude of local ECD estimates. In this paper, we report, for the first time, an in vivo validation study assessing the feasibility of 3-DCAI in comparison with the 3-D intracardiac mapping, for a group of four healthy rabbits undergoing the ventricular pacing from various locations. During the experiments, the body surface potentials and the intramural bipolar electrical recordings were simultaneously measured in a closed-chest condition. The ventricular activation sequence noninvasively imaged from the body surface measurements by using 3-DCAI was generally in agreement with that obtained from the invasive intramural recordings. The quantitative comparison between them showed a root mean square (rms) error of 7.42 plusmn0.61 ms, a relative error (RE) of 0.24 plusmn0.03, and a localization error (LE) of 5.47 plusmn1.57 mm. The experimental results were also consistent with our computer simulations conducted in well-controlled and realistic conditions. The present study suggest that 3-DCAI can noninvasively capture some important features of ventricular excitation (e.g., the activation origin and the activation sequence), and has the potential of becoming a useful imaging tool aiding cardiovascular research and clinical diagnosis of cardiac diseases.
138777116
An approximate model of residual stress in injected molded parts
2980184
Supporting Scalable and Distributed Data Subsetting and Aggregation in Large-Scale Seismic Data Analysis
The ability to query and process very large, terabyte-scale datasets has become a key step in many scientific and engineering applications. In this paper, we describe the application of two middleware frameworks in an integrated fashion to provide a scalable and efficient system for execution of seismic data analysis on large datasets in a distributed environment. We investigate different strategies for efficient querying of large datasets and parallel implementations of a seismic image reconstruction algorithm. Our results on a state-of-the-art mass storage system coupled with a high-end compute cluster show that our implementation is scalable and can achieve about 2.9 Gigabytes per second data processing rate – about 70% of the maximum 4.2GB/s application-level raw I/O bandwidth of the storage platform.
27831253
Sparse Matrix Representations in a Functional Language
This paper investigates several sparse matrix representation schemes and associated algorithms in Haskell for solving linear systems of equations arising from solving realistic computational fluid dynamics problems using a finite element algorithm. This work complements that of Wainwright and Sexton (1992) in that a Choleski direct solver (with an emphasis on its forward/backward substitution steps) is examined. Experimental evidence comparing time and space efficiency of these matrix representation schemes is reported, together with associated forward/backward substitution implementations. Our results are in general agreement with Wainwright and Sexton's.
15017124
Fault modelling and co-simulation in flowFET-based biological array systems
The area of microelectronic fluidic arrays is rapidly developing into many different commercial products, one being biological arrays. As a consequence, efficient and reliable design and testing of these systems becomes of crucial importance. This paper shows some of the latest results obtained with regard to the flowFET fluidic transfer device, its fault-free and fault modelling, and the co-simulation of a microelectronic fluidic array for life sciences.