This paper investigates the degradation in diagnosability of bridging faults caused by situations of active feedback and logically unresolvable intermediate values under different fault modeling assumptions. The experimental results show that active feedback may reduce the fault coverage by as much as 7% for stuck-at test sets and realistic bridging fault sets. A test generation method for full...

This paper presents the vision-based road detection system currently operative onto the MOB-LAB land vehicle. Based on a full-custom low-cost massively parallel system, it achieves real-time performances (' 17 Hz) in the processing of image sequences, thanks to the extremely eecient implementation of the algorithm. Assuming a at road and the complete set of acquisition parameters to be known (c...

Recent years, offshore outsourcing has received large amount of attention from both industry and academia because of its attractive advantages such as cost reduction, talent access. As an alternative way to implement information systems in operation management, offshore insourcing has been greatly overlooked. Though organizations shun from the contractual obligations in offshore insourcing, the...

Code sandboxing is useful for many purposes, but most sandboxing techniques require kernel modifications, do not completely isolate guest code, or incur substantial performance costs. Vx32 is a multipurpose user-level sandbox that enables any application to load and safely execute one or more guest plug-ins, confining each guest to a system call API controlled by the host application and to a r...

Industrial manufacturing today requires both an efficient production process and an appropriate quality standard of each produced unit. The number of industrial vision applications, where real time vision systems are utilized, is continuously rising due to the increasing automation. Assembly lines, where component parts are manipulated by robot grippers, require a fast and fault tolerant visual...

Deep Neural Networks (DNNs) have emerged as the method of choice for solving a wide range of machine learning tasks. Satiating the enormous growth in computational demand posed by DNNs is a key challenge for computing system designers and has most commonly been addressed through the design of custom accelerators. However, these specialized accelerators that utilize large quantities of multiply-...

MATRIX is a novel, coarse-grain, reconfigurable computing architecture which supports confgurable instruction distribution. Device resources are allocated to controlling and describing the computation on a per task basis. Application-specific regularity allows us to compress the resources allocated to instruction control and distribution, in many situations yielding more resources for datapaths...

the necessity of conducting more studies addressing the development of pragmatic profciency and strong pragmatic awareness for english language learners has made the role of instruction and feedback in teaching pragmatic knowledge of utmost importance. the present study evaluates the relative effectiveness of four types of instruction for teaching some pragmatic markers including topic change m...

In this paper, we investigate the benefit of instruction set extensions for software implementations of all five SHA-3 candidates. To this end, we start from optimized assembly code for a common 16-bit microcontroller instruction set architecture. By themselves, these implementations provide reference for complexity of the algorithms on 16-bit architectures, commonly used in embedded systems. F...