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Books on the topic 'Lighting automation'

Author: Grafiati

Published: 30 May 2022

Last updated: 31 May 2022

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1

A, Di Giandomenico Robert, and Linde Carl W, eds. Understanding building automation systems: Direct digital control, energy management, life safety, security/access control, lighting, building management programs. Kingston, MA: R.S. Means Co., 1991.

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2

service), ScienceDirect (Online, ed. The automated lighting programmer's handbook. 2nd ed. Oxford: Focal, 2010.

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3

The automated lighting programmer's handbook. Amsterdam: Elsevier, Focal Press, 2004.

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4

U. S. Automatic Lighting Co. New Saxonia incandescent kerosene oil lamp burner. [Brecksville, Ohio?]: Rushlight Club, 1988.

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5

G, Lozev Margarit, Virginia. Dept. of Transportation., and Virginia Transportation Research Council, eds. Prototype crawling robotics system for remote visual inspection of high-mast light poles. Charlottesville, Va: Virginia Transportation Research Council, 1997.

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6

Iesna Financial Facilities Committee. Lighting for Automatic Teller Machines. Illuminating Engineering Society of North Ame, 1997.

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7

Schiller, Brad. Automated Lighting Programmer's Handbook. Taylor & Francis Group, 2016.

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8

Automated Lighting Programmer's Handbook. Taylor & Francis Group, 2016.

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9

Lighting Controls Handbook. Fairmont Press, 2007.

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10

Media Servers for Lighting Programmers: A Comprehensive Guide to Working with Digital Lighting. Routledge, 2014.

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11

1967-, DiLouie Craig, ed. Advanced lighting controls: Energy savings, productivity, technology and applications. Lilburn, GA: Fairmont, 2005.

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12

Dilouie, Craig. Advanced Lighting Controls: Energy Savings, Productivity, Technology and Applications. Fairmont Press, 2005.

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13

Dilouie, Craig. Advanced Lighting Controls: Energy Savings, Productivity, Technology And Applications. Fairmont Press, 2005.

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14

Bindemann, Markus, ed. Forensic Face Matching. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198837749.001.0001.

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Person identification at passport control, at borders, in police investigations, and in criminal trials relies critically on the identity verification of people via image-to-image or person-to-image comparison. While this task is known as ‘facial image comparison’ in forensic settings, it has been studied as ‘unfamiliar face matching’ in cognitive science. This book brings together expertise from practitioners, and academics in psychology and law, to draw together what is currently known about these tasks. It explains the problem of identity impostors and how within-person variability and between-person similarity, due to factors such as image quality, lighting direction, and view, affect identification. A framework to develop a cognitive theory of face matching is offered. The face-matching abilities of untrained lay observers, facial reviewers, facial examiners, and super-recognizers are analysed and contrasted. Individual differences between observers, learning and training for face recognition and face matching, and personnel selection are reviewed. The admissibility criteria of evidence from face matching in legal settings are considered, focusing on aspects such as the requirement of relevance, the prohibition on evidence of opinion, and reliability. Key concepts relevant to automatic face recognition algorithms at airports and in police investigations are explained, such as deep convolutional neural networks, biometrics, and human–computer interaction. Finally, new security threats in the form of hyper-realistic mask disguises are considered, including the impact these have on person identification in applied and laboratory settings.

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15

Safety on Railroads.: Hearings before the United States House Committee on Interstate and Foreign Commerce, Sixty-Third Congress, second session, on Jan. 19, 1914. Washington: U.S. G.P.O., 1985.

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