Diagrams (charts and graphs) made into a booklet with a newspaper cover

Diagrams (charts and graphs) made into a booklet with a newspaper cover. This booklet contains cross sections of the back ditch on the south side of the Welland Canal feeder, west of the Marshville culverts (45 pages, hand drawn). This was created by Fred Holmes, Oct. 3, 1857.

Charts and graphs of cross sections from Brown’s ditch culvert to the main drain

Charts and graphs of cross sections from Brown’s ditch culvert to the main drain, cross sections from the feeder on the road allowance between lots 26 and 27 in the 5th concession of Humberstone, Cross sections of the main drain from Lyons Creek culvert to the road allowance between lots 7 and 8 in Wainfleet and cross selections of the old ditch on the west side of the road allowance between lots 17 and 18 in the 3rd concession in Wainfleet (8 pages, hand drawn), n.d.

Charts.doc (7)

Notes on use of SPSS. Used in Research Skills for Biomedical Science

Agile Sprint planning, estimating and tracking progress with burndown charts.

These lecture slides cover agile sprint planning. I have included lightweight task estimation using agile techniques: story points, T- shirts and planning pokerthis is intended to help developers who are building their personal and team estimating capability

Enlarged text charts: Teacher's guide: year 3.

Guía para enseñar lectura y escritura a los alumnos de primaria. Los carteles pueden ser la base no sólo de lecciones independientes, sino que también son excelentes para usar conjuntamente con los libros relacionados con ellos, para establecer el escenario para la lectura o ampliar y profundizar el aprecio de los niños de un texto. Los títulos vinculados a los carteles son adecuados para la lectura independiente y actividades de grupo. Se hace hincapié en la lectura y la escritura que ayuda a los niños a desarrollar habilidades, la creatividad y la confianza.

Percentile growth charts for biomedical studies using a porcine model

Increasing rates of obesity and heart disease are compromising quality of life for a growing number of people. There is much research linking adult disease with the growth and development both in utero and during the first year of life. The pig is an ideal model for studying the origins of developmental programming. The objective of this paper was to construct percentile growth curves for the pig for use in biomedical studies. The body weight (BIN) of pigs was recorded from birth to 150 days of age and their crown-to-rump length was measured over the neonatal period to enable the ponderal index (Pl; kg/m(3)) to be calculated. Data were normalised and percentile curves were constructed using Cole's lambda-mu-sigma (LMS) method for BW and PI. The construction of these percentile charts for use in biomedical research will allow a more detailed and precise tracking of growth and development of individual pigs under experimental conditions.

Prototype Generation from Ontology Charts

Semantic Analysis is a business analysis method designed to capture system requirements. While these requirements may be represented as text, the method also advocates the use of Ontology Charts to formally denote the system's required roles, relationships and forms of communication. Following model driven engineering techniques, Ontology Charts can be transformed to temporal Database schemas, class diagrams and component diagrams, which can then be used to produce software systems. A nice property of these transformations is that resulting system design models lend themselves to complicated extensions that do not require changes to the design models. For example, resulting databases can be extended with new types of data without the need to modify the database schema of the legacy system. Semantic Analysis is not widely used in software engineering, so there is a lack of experts in the field and no design patterns are available. This make it difficult for the analysts to pass organizational knowledge to the engineers. This study describes an implementation that is readily usable by engineers, which includes an automated technique that can produce a prototype from an Ontology Chart. The use of such tools should enable developers to make use of Semantic Analysis with minimal expertise of ontologies and MDA.

Variable parameter and double sampling (X)over-bar charts in the presence of correlation: The Markov chain approach

The general assumption under which the (X) over bar chart is designed is that the process mean has a constant in-control value. However, there are situations in which the process mean wanders. When it wanders according to a first-order autoregressive (AR (1)) model, a complex approach involving Markov chains and integral equation methods is used to evaluate the properties of the (X) over bar chart. In this paper, we propose the use of a pure Markov chain approach to study the performance of the (X) over bar chart. The performance of the chat (X) over bar with variable parameters and the (X) over bar with double sampling are compared. (C) 2011 Elsevier B.V. All rights reserved.

Control charts for monitoring the mean vector and the covariance matrix of bivariate processes

In this article, we propose new control charts for monitoring the mean vector and the covariance matrix of bivariate processes. The traditional tools used for this purpose are the T (2) and the |S| charts. However, these charts have two drawbacks: (1) the T (2) and the |S| statistics are not easy to compute, and (2) after a signal, they do not distinguish the variable affected by the assignable cause. As an alternative to (1), we propose the MVMAX chart, which only requires the computation of sample means and sample variances. As an alternative to (2), we propose the joint use of two charts based on the non-central chi-square statistic (NCS statistic), named as the NCS charts. Once the NCS charts signal, the user can immediately identify the out-of-control variable. In general, the synthetic MVMAX chart is faster than the NCS charts and the joint T (2) and |S| charts in signaling processes disturbances.

Bivariate control charts with double sampling

In this article, we consider the T(2) chart with double sampling to control bivariate processes (BDS chart). During the first stage of the sampling, n(1) items of the sample are inspected and two quality characteristics (x; y) are measured. If the Hotelling statistic T(1)(2) for the mean vector of (x; y) is less than w, the sampling is interrupted. If the Hotelling statistic T(1)(2) is greater than CL(1), where CL(1) > w, the control chart signals an out-of-control condition. If w < T(1)(2) <= CL(1), the sampling goes on to the second stage, where the remaining n(2) items of the sample are inspected and T(2)(2) for the mean vector of the whole sample is computed. During the second stage of the sampling, the control chart signals an out-of-control condition when the statistic T(2)(2) is larger than CL(2). A comparative study shows that the BDS chart detects process disturbances faster than the standard bivariate T(2) chart and the adaptive bivariate T(2) charts with variable sample size and/or variable sampling interval.