Letter Discussing the Parliamentary Act to Regulate the Curing, Packing, and Inspection of Beef and Pork. 1819

A letter on behalf of Sir Peregrine Maitland, the Lieutenant Governor of Upper Canada to those in Niagara discussing an act passed in parliament regulating the curing, packing and inspection of beef and pork. The letter also states that William Duff Miller was appointed as an Inspector of Beef and Pork within the District of Niagara.

A New History of the United States of America for the Use of Schools

UANL

Introductory course of natural philosophy for the use of schools and academies

UANL

Determination of sorbate and benzoate in beverage samples by capillary electrophoresis - Optimization of the method with inspection of ionic mobilities

The aim of this study was to develop a fast capillary electrophoresis method for the determination of benzoate and sorbate ions in commercial beverages. In the method development the pH and constituents of the background electrolyte were selected using the effective mobility versus pH curves. As the high resolution obtained experimentally for sorbate and benzoate in the studies presented in the literature is not in agreement with that expected from the ionic mobility values published, a procedure to determine these values was carried out. The salicylate ion was used as the internal standard. The background electrolyte was composed of 25 mmol L(-1) tris(hydroxymethyl)aminomethane and 12.5 mmol L(-1) 2-hydroxyisobutyric acid, atpH 8.1.Separation was conducted in a fused-silica capillary(32 cm total length and 8.5 cm effective length, 50 mu m I.D.), with short-end injection configuration and direct UV detection at 200 nm for benzoate and salicylate and 254 nm for sorbate ions. The run time was only 28 s. A few figures of merit of the proposed method include: good linearity (R(2) > 0.999), limit of detection of 0.9 and 0.3 mg L(-1) for benzoate and sorbate, respectively, inter-day precision better than 2.7% (n =9) and recovery in the range 97.9-105%. Beverage samples were prepared by simple dilution with deionized water (1:11, v/v). Concentrations in the range of 197-401 mg L(-1) for benzoate and 28-144 mg L(-1) for sorbate were found in soft drinks and tea. (c) 2008 Elsevier B.V. All rights reserved.

MACHINE VISION FOR AUTOMATICVISUAL INSPECTION OF WOODENRAILWAY SLEEPERS USING UNSUPERVISED NEURAL NETWORKS

The motivation for this thesis work is the need for improving reliability of equipment and quality of service to railway passengers as well as a requirement for cost-effective and efficient condition maintenance management for rail transportation. This thesis work develops a fusion of various machine vision analysis methods to achieve high performance in automation of wooden rail track inspection.The condition monitoring in rail transport is done manually by a human operator where people rely on inference systems and assumptions to develop conclusions. The use of conditional monitoring allows maintenance to be scheduled, or other actions to be taken to avoid the consequences of failure, before the failure occurs. Manual or automated condition monitoring of materials in fields of public transportation like railway, aerial navigation, traffic safety, etc, where safety is of prior importance needs non-destructive testing (NDT).In general, wooden railway sleeper inspection is done manually by a human operator, by moving along the rail sleeper and gathering information by visual and sound analysis for examining the presence of cracks. Human inspectors working on lines visually inspect wooden rails to judge the quality of rail sleeper. In this project work the machine vision system is developed based on the manual visual analysis system, which uses digital cameras and image processing software to perform similar manual inspections. As the manual inspection requires much effort and is expected to be error prone sometimes and also appears difficult to discriminate even for a human operator by the frequent changes in inspected material. The machine vision system developed classifies the condition of material by examining individual pixels of images, processing them and attempting to develop conclusions with the assistance of knowledge bases and features.A pattern recognition approach is developed based on the methodological knowledge from manual procedure. The pattern recognition approach for this thesis work was developed and achieved by a non destructive testing method to identify the flaws in manually done condition monitoring of sleepers.In this method, a test vehicle is designed to capture sleeper images similar to visual inspection by human operator and the raw data for pattern recognition approach is provided from the captured images of the wooden sleepers. The data from the NDT method were further processed and appropriate features were extracted.The collection of data by the NDT method is to achieve high accuracy in reliable classification results. A key idea is to use the non supervised classifier based on the features extracted from the method to discriminate the condition of wooden sleepers in to either good or bad. Self organising map is used as classifier for the wooden sleeper classification.In order to achieve greater integration, the data collected by the machine vision system was made to interface with one another by a strategy called fusion. Data fusion was looked in at two different levels namely sensor-level fusion, feature- level fusion. As the goal was to reduce the accuracy of the human error on the rail sleeper classification as good or bad the results obtained by the feature-level fusion compared to that of the results of actual classification were satisfactory.

Automatic inspection of metallic surface defects using genetic algorithms

This paper is concerned with the problem of automatic inspection of metallic surface using machine vision. An experimental system has been developed to take images of external metallic surfaces and an intelligent approach based on morphology and genetic algorithms is proposed to detect structural defects on bumpy metallic surfaces. The approach employs genetic algorithms to automatically learn morphology processing parameters such as structuring elements and defect segmentation threshold. This paper describes the detailed procedures which include encoding scheme, genetic operation and evaluation function.

The proposed method has been implemented and tested on a number of metallic surfaces. The results suggest that the method can provide an accurate identification to the defects and can be developed into a viable commercial visual inspection system.

Machine vision system for automatic inspection of surface defects in aluminum die casting

A camera based machine vision system for the automatic inspection of surface defects in aluminum die casting is presented. The system uses a hybrid image processing algorithm based on mathematic morphology to detect defects with different sizes and shapes. The defect inspection algorithm consists of two parts. One is a parameter learning algorithm, in which a genetic algorithm is used to extract optimal structuring element parameters, and segmentation and noise removal thresholds. The second part is a defect detection algorithm, in which the parameters obtained by a genetic algorithm are used for morphological operations. The machine vision system has been applied in an industrial setting to detect two types of casting defects: parts mix-up and any defects on the surface of castings. The system performs with a 99% or higher accuracy for both part mix-up and defect detection and is currently used in industry as part of normal production.

Machine vision system for automatic inspection of surface defects in aluminium die casting

A machine vision system is presented for the automatic inspection of surface defects in aluminium die casting. The system uses a hybrid image processing algorithm based on mathematic morphology to detect defects with different sizes and shapes. The defect inspection algorithm consists of two parts. One is a parameter learning algorithm, in which a genetic algorithm is used to extract optimal structuring element parameters, and segmentation and noise removal thresholds. The second part is a defect detection algorithm, in which the parameters obtained by a genetic algorithm are used for morphological operations. The machine vision system has been applied in an industrial setting to detect two types of casting defects: parts mix-up and any defects on the surface of castings. The system performs with a 99% or higher accuracy for both part mix-up and defect detection and is currently used in industry as part of normal production.

Youth and sexualities : pleasure, subversion and insubordination in and out of schools

These cutting-edge international essays challenge dominant narratives of queer youth predicated on oppression and victimization. As school systems address the emergence of Gay-Straight Alliances and calls to provide equal educational access, researchers, educators and youth workers are paying increasing attention to sexuality, gender and schooling. Yet present discourses are limited to liberal understandings of tolerance, safety, and equity that are defined by a separation of "queer" and "normal." This text documents and offers radical interpretations of the creativity of queer youth in challenging existing practices. Interdisciplinary analyses offer multiple vantage points for reconceptualizing adolescent sexual subjectivities and institutional and cultural practices.

The role of schools in the enhancement of social tolerance and cohesion: a case study research project in the Pacific region

It is generally assumed that education will be good for a country and its inhabitants. But if the educational experience does not support those aspects of a culture the inhabitants believe to be most important, it does not contribute to social cohesion. Societies adjusting to 'modern' forces, question the 'benefits' of education, when they have poorly-funded, centralised education systems, uneven access to schooling, and where student progress is determined by academic exams and post-school employment options are few. In such circumstances, citizens are uncertain how to use education to cohere their culture and society.

This World Bank funded consultancy project sought the views of citizens of the Solomon Islands and Vanuatu on the role of schools in maintaining culture and in promoting social tolerance and harmony. Researchers also developed an educational framework for promoting social cohesion and democratic participation in schools in the Pacific region.

This presentation will consider :

* The context of the study in the Pacific region
* Research and the World bank
* Issues associated with case study research
* Case study findings
* The educational framework developed.

Teacher is here to ask for your help : a story of schools, employers and networks

This paper explores the development of the Jobs4Kids (J4K) campaign, a joint initiative of the SGR LLEN Employer Reference Group and the Beacon Foundation. Involving a three-year business plan, the J4K campaign aims to broker young people into employment in local jobs in the region. The campaign is the result of the intersection between an evolving project within the LLEN and the growth of an established program of the Beacon Foundation. The paper will use a Deleuzian lens to explore the ground shifts that have occurred in the process of forming this connection; I am concerned with the intersecting movements of different orders that have created a necessary transitory coordination. Within such a 'rhizome' there are only lines: dimensional lines of segmentarity and stratification and lines of flight as 'the maximum dimension after which the multiplicity undergoes metamorphosis, changes in nature' (Deleuze & Guattari 1987 p.21). My perspective of this metamorphosis is specifically focused on SGR LLEN; I close with a consideration of the possibilities of this change in nature for the continuing work of the LLEN.