Biennial report of the Bureau of Labor Statistics and Inspector of Factories and workshops of the State of Oregon ...

First biennial report covers period from June 3, 1903, to Sept. 30, 1904.

Annual report of inspection of factories in Michigan /

Mode of access: Internet.

Annual report of the Bureau of Labor Statistics.

Vol. for 1879/80 covers Sept. 1, 1879 through Jan. 1, 1880; 3rd- report year ends Dec. 31; -13th report year ends Nov. 5.

Biennial report of the Bureau of Labor Statistics of the State of Minnesota for the two years ending ..

Title varies slightly.

Biennial report - State of West Virginia, Department of Labor.

Mode of access: Internet.

Annual report of the Commissioner of Labor /

Description based on: 2nd (1902).

Rapports annuels de l'Inspection du travail.

At head of title: Royaume de Belgique. Ministère de l'industrie et du travail. Office du travail et Administration des mines.

Annual report - New York State Department of Labor.

Report year irregular.

Annual report of the Commissioner of Labor

The report comprises: General report, containing Annual report of the Commissioner of Labor, 1st-14th, Mar. 6, 1901-June 1914; Annual report of the Free Employment Bureau, 6th-11th, 1901-1905/06; Annual report of the Bureau of Mediation and Arbitration, 15th- 1901-1910/11; Annual report of the Bureau of Factory Inspection, 16th- 1900/01-1910/11; Annual report of the Bureau of Labor Statistics, 19th- 1900/01-1911/12; Annual report of the Bureau of Mercantile Inspection, [1st]- 1908/09-1910/11; Annual report of the Bureau of Industries and Immigration, 1st-2nd, 1910/11-1911/12

Annual report of the Bureau of Industrial and Labor Statistics

1893-1910 include "Report of the inspector of factories, workshops, mines and quarries," 1893-1910

Decision support system for inspection and maintenance:a case of oil pipelines

The existing method of pipeline health monitoring, which requires an entire pipeline to be inspected periodically, is unproductive. A risk-based decision support system (DSS) that reduces the amount of time spent on inspection has been presented. The risk-based DSS uses the analytic hierarchy process (AHP), a multiple attribute decision-making technique, to identify the factors that influence failure on specific segments and analyzes their effects by determining probability of occurrence of these risk factors. The severity of failure is determined through consequence analysis. From this, the effect of a failure caused by each risk factor can be established in terms of cost and the cumulative effect of failure is determined through probability analysis. The model optimizes the cost of pipeline operations by reducing subjectivity in selecting a specific inspection method, identifying and prioritizing the right pipeline segment for inspection and maintenance, deriving budget allocation, providing guidance to deploy the right mix labor for inspection and maintenance, planning emergency preparation, and deriving logical insurance plan. The proposed methodology also helps derive inspection and maintenance policy for the entire pipeline system, suggest design, operational philosophy, and construction methodology for new pipelines.

Third-sector discourses and the future of (un)employment : skilled labor, new technologies, and the meaning of work

In this paper we analyse a 600,000 word corpus comprised of policy statements produced within supranational, national, state and local legislatures about the nature and causes of(un)employment. We identify significant rhetorical and discursive features deployed by third sector (un)employment policy authors that function to extend their legislative grasp to encompass the most intimate aspects of human association.

Design of automatic vision-based inspection system for solder joint segmentation

Purpose: Computer vision has been widely used in the inspection of electronic components. This paper proposes a computer vision system for the automatic detection, localisation, and segmentation of solder joints on Printed Circuit Boards (PCBs) under different illumination conditions. Design/methodology/approach: An illumination normalization approach is applied to an image, which can effectively and efficiently eliminate the effect of uneven illumination while keeping the properties of the processed image the same as in the corresponding image under normal lighting conditions. Consequently special lighting and instrumental setup can be reduced in order to detect solder joints. These normalised images are insensitive to illumination variations and are used for the subsequent solder joint detection stages. In the segmentation approach, the PCB image is transformed from an RGB color space to a YIQ color space for the effective detection of solder joints from the background. Findings: The segmentation results show that the proposed approach improves the performance significantly for images under varying illumination conditions. Research limitations/implications: This paper proposes a front-end system for the automatic detection, localisation, and segmentation of solder joint defects. Further research is required to complete the full system including the classification of solder joint defects. Practical implications: The methodology presented in this paper can be an effective method to reduce cost and improve quality in production of PCBs in the manufacturing industry. Originality/value: This research proposes the automatic location, identification and segmentation of solder joints under different illumination conditions.