Tidal Propagation Based On Co-Phase Chart and Co-Range Chart in Sunda Strait, Indonesia

Max Chart: Combining X-bar Chart and S Chart

Control chart techniques have been widely used in industries to monitor a process in quality improvement. Whenever we deal with variables data, we usually employ a combination of X-bar chart and R chart (or S chart) to monitor both the center and the spread of the process. In this paper, we propose a simple alternative, that is, we design a single chart to monitor both the center and the spread...

Nonparametric Control Chart for the Range

A Robust Dispersion Control Chart Based on M-estimate

Process control charts are proven techniques for improving quality. Specifying the control limits is the most important step in designing a control chart. The presence of outliers may extremely affect the estimates of parameters using classical methods. Robust estimators which are not affected by outliers or the small departures from the model assumptions are applied in this paper to specify th...

Model-Based Chart Image Recognition

In this paper, we introduce a system that aims at recognizing chart images using a model-based approach. First of all, basic chart models are designed for four different chart types based on their characteristics. In a chart model, basic object features and constraints between objects are defined. During the chart recognition, there are two levels of matching: feature level matching to locate b...

Edge - Based Best - First Chart

Best-rst probabilistic chart parsing attempts to parse eeciently by working on edges that are judged \best" by some probabilistic gure of merit (FOM). Recent work has used probabilistic context-free grammars (PCFGs) to assign probabilities to constituents, and to use these probabilities as the starting point for the FOM. This paper extends this approach to using a probabilistic FOM to judge edg...