Maisie is a C-based discrete-event simulation language that was designed to cleanly separate a simulation model from the underlying algorithm (sequential or parallel) used for the execution of the model. With few modi cations, a Maisie program may be executed using a sequential simulation algorithm, a parallel conservative algorithm or a parallel optimistic algorithm. The language constructs al...

Current paper presents an approach to emulate fault simulation of sequential circuits on FPGA. Fault simulation is an important subtask in test pattern generation and it is frequently used throughout the test generation process. In the paper, we explain the problems associated to fault emulation for sequential circuits. Two alternative approaches are described, which can be considered as trade-...

Remote sensing is an efficient means of obtaining largemeans to obtain these data in a timely and consistent manner. Yet, remotely sensed land-cover data are not errorarea land-cover data. Yet, remotely sensed data are not error-free. This paper presents a geostatistical method to free, as they rely largely on the spectral responses of landcover types that may not all be spectrally distinguisha...

A simulation-based cycle time-throughput curve requires a large amount of simulation output data, and an experimentation framework is needed to enhance the precision and accuracy of a simulation-based cycle time-throughput curve. In this research, approaches and solutions are presented on three prime issues: 1) the establishment of the simulation sampling strategies; 2) the determination of the...

this paper presents interactive software which shows and analyzes through visual simulation some sequential and parallel algorithms. It was study the memory access for PRAM model and some significant algorithms for PRAM model. It was analyze also some sorting algorithms and some graph algorithms in both variants sequential and parallel. The software was implemented in Java. It was also performe...

Concerned with multi-objective reinforcement learning (MORL), this paper presents MOMCTS, an extension of Monte-Carlo Tree Search to multi-objective sequential decision making. The known multi-objective indicator referred to as hyper-volume indicator is used to define an action selection criterion, replacing the UCB criterion in order to deal with multi-dimensional rewards. MO-MCTS is firstly c...

This research aims to (1) find out whether mathematical literacy through Problem-Based Learning with PMRI Approach (PBL-PMRI) achieves Actual Completion Limit (ACL); (2) PBL-PMRI is classically complete; (3) the average and proportion of more than PBL; (4) knowing students' self-efficacy influences PBL-PMRI; (5) describe based on self-efficacy. The method used a mixed sequential explanatory des...

The ever-increasing complexity and size of current circuit designs have made testing and verification major bottlenecks in the design flow of VLSI (Very Large Scale Integrated) circuits. Statistics show that more than 70% of the design effort can be spent on functional verification and manufacturing testing. This percentage is expected to increase in the future if no significant strides in thes...

In this paper we introduce the use of multiple-point geostatistics in hydrogeology. Multiple-point geostatistical algorithms allow the generation of stochastic models reproducing more realistically geological shapes and connectivities as compared to more traditional variogram-based techniques. Multiple-point geostatistics relies on the concept of 3-dimensional training images from which higher ...