The instability of supersonic compression ramp flow is investigated. It is assumed that the Reynolds number is large and that the governing equations are the unsteady triple-deck equations. The mean flow is first calculated by solving the steady equations for various scaled ramp angles α, and the numerical results suggest that there is no singularity for increasing ramp angles. The stability of...

RAMP (Reduce And Map Provenance) is an extension to Hadoop that supports provenance capture and tracing for workflows of MapReduce jobs. RAMP uses a wrapper-based approach, requiring little if any user intervention in most cases, while retaining Hadoop’s parallel execution and fault tolerance. We demonstrate RAMP on a real-world MapReduce workflow generated from a Pig script that performs senti...

Computer architects have long used simulators to explore microarchitectures and quantitatively analyze design tradeoffs. Though attractive because of their low cost and ease of modification, these software simulators suffer from poor performance. In this paper, we present RAMP Gold, an FPGA-based manycore simulator that outperforms software simulators by orders of magnitude. It models up to 64 ...

We present in this paper a linear programming framework to address freeway control applications such as ramp metering. After showing the equivalence between the LWR model and a linear optimization problem, several extensions are introduced to model the ramp queues and the capacity drop phenomenon. A wide range of objective functions which are relevant in traffic engineering are then introduced ...

This issue of organizational unlearning, which is defined as the discarding of old routines to make way for new ones, has received limited attention in the literature although studies of organizational learning have been proliferating. Based on a comparative case analysis of eight Sino-foreign joint ventures, this study examines knowledge transfer by foreign partners to greenfield versus acquis...

Secret sharing [1] is a well-established topic in the information security [2]. It attracts renewed interest after Cramer et al. [3] revealed that any linear secret sharing with the so-called multiplicative (or strongly multiplicative) property can be used for the secure multiparty computation. Later, the multiplicative properties were generalized to the ramp secret sharing [4], [5]. In [5, Sec...

The value of metabolomics in translational research is undeniable, and metabolomics data are increasingly generated in large cohorts. The functional interpretation of disease-associated metabolites though is difficult, and the biological mechanisms that underlie cell type or disease-specific metabolomics profiles are oftentimes unknown. To help fully exploit metabolomics data and to aid in its ...

The ramp-up process of assembly systems has a huge impact on both the productivity of those systems and the quality of the output. In this work we present a new technique for accelerating the ramp-up process by automatically capturing knowledge about a machine and subsequently reusing it to inform an engineer performing ramp-up. This technique relies on a novel process called the Knowledge Obje...

We examine cosmic-ray rejection methodology on data collected from InSb and Si:As detectors. The application of an up-the-ramp sampling technique with cosmic-ray identification and mitigation is the focus of this study. This technique is valuable for space-based observatories which are exposed to high-radiation environments. We validate the up-the-ramp approach on radiation-test data sets with ...

This paper suggests the operation polices of storage devices to limiting ramp rates of wind power output. Operation polices are based on the optimization framework of linear programming under the assumption that there is a penalty cost for deviating outside ramp rate limits. Policies decide optimal storage operations to minimize the total penalty costs incurred when violating ramp rate limits. ...