Although simulation is a popular tool for modelling and analysing modern manufacturing systems, to model shop ̄ oor control systems (SFCSs) in simulation requires quite costly e€ orts, since they are responsible for resolving various decision problems, such as deadlock, part dispatching, and resource con ̄ ict. The objective of the paper is to address a conceptual framework necessary to generate ...

Conventional acoustic models, such as Gaussian mixture models (GMM) or deep neural networks (DNN), cannot be reliably estimated when there are very little speech training data, e.g. less than 1 hour. In this paper, we investigate the use of a non-parametric kernel density estimation method to predict the emission probability of HMM states. In addition, we introduce a discriminative score calibr...

In this paper, a model-based analysis method for fMRI is used with a high-level symbolic process model. Participants performed a triple-task in which intermediate task information needs to be updated frequently. Previous work has shown that the associated resource - the problem state resource - acts as a bottleneck in multitasking. The model-based method was used to locate the neural correlates...

Owing to its advantages of cheaply solving the server-side bottleneck, peer-to-peer (P2P) networking is gaining attention in recent years. At the same time, Video-On-Demand (VOD) is becoming much more popular on the Internet, such as online theatres and news websites. However, VOD consumes large bandwidth and traditional solutions can only serve very limited number of concurrent demands. P2P be...

We consider the online matching problem, where n server-vertices lie in a metric space and n request-vertices that arrive over time each must immediately be permanently assigned to a server-vertex. We focus on the egalitarian bottleneck objective, where the goal is to minimize the maximum distance between any request and its server. It has been demonstrated that while there are effective algori...

In this paper, a model-based analysis method for fMRI is used with a high-level symbolic process model. Participants performed a triple-task in which intermediate task information needs to be updated frequently. Previous work has shown that the associated resource – the problem state resource – acts as a bottleneck in multitasking. The model-based method was used to locate the neural correlates...

quantitative determination of br?nsted acid sites in acidic mordenite samples with varying proton concentrations has been studied using aqueous conductometric titration method. conductometric titration of the ammonium form of mordenite with sodium hydroxide is feasible and the results indicate potential number of br?nsted acid sites. however, br?nsted acid sites concentration in acidic mordenit...

In order to enhance their performance, many organizations have initiated change projects. However, management is reluctant to initiate them due to their enterprise-wide impact and costs that are higher than those of traditional system development projects. Thus, there is a need to assess the value of the redesigned process of a successfully implemented organizational change projects. The purpos...

The Internet has evolved to an extent where users now expect any-where any-time and any-form access to their personalized data and applications of choice. However providing a coherent (seamless) user experience across multiple devices has been relatively hard to achieve. While the how to sync problem has been well studied in literature, the complementary when to sync problem has remained relati...

The unavailability of parallel training corpora in resource-poor languages is a major bottleneck in cost-effective and rapid deployment of statistical machine translation (SMT) technology. This has spurred significant interest in active learning for SMT to select the most informative samples from a large candidate pool. This is especially challenging when irrelevant outliers dominate the pool. ...