The DOI matches its Crossref record; 85 of the 85 references it cites were found in a registry or an index.
Visual inspection: a review of the literature
Open accessAbstract
are based. Articles pertaining to research into actinide interactions with carbonate minerals are summarized. Select articles involving trace element-carbonate mineral interactions are also reviewed and may serve as templates for future research. A bibliography of related articles is included. Americium(III), and its nonradioactive analog neodymium(III), partition strongly from aqueous solutions into carbonate minerals. Recent thermodynamic, kinetic, and surface studies show that Nd is preferentially removed from solution, forming a Nd-Ca carbonate solid solution. Neptunium(V) is rapidly removed from solution by carbonates. Plutonium incorporation into carbonates is complicated by multiple oxidation states. Little research has been done on the radium(H) and thorium(IV) carbonate systems. Removal of uranyl ion from solution by calcite is limited to monolayer surface coverage.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source says what the claim attributes to it.
In the citing paper
“The detection results are also comparable to the human inspector, who has a commonly quoted error rate of 20% to 30%, or rather a detection rate of 70% to 80% [97,98].”
From Automated Defect Detection and Decision-Support in Gas Turbine Blade Inspection (2021) · cites this paper as [98]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Signal detection theory and psychophysics
Ingleby, D. (1967) · Journal of Sound and Vibration · doi:10.1016/0022-460x(67)90197-6 · Cited by 8,616
Pragmatics of measuring recognition memory: Applications to dementia and amnesia.
Snodgrass, J. G., & Corwin, J. (1988) · Journal of Experimental Psychology General · doi:10.1037/0096-3445.117.1.34 · Cited by 2,527
A decision-making theory of visual detection.
Tanner, W. P., & Swets, J. A. (1954) · Psychological Review · doi:10.1037/h0058700 · Cited by 1,357
The Breakdown of Vigilance during Prolonged Visual Search
Mackworth, N. H. (1948) · Quarterly Journal of Experimental Psychology · doi:10.1080/17470214808416738 · Cited by 1,040
Visual Sustained Attention: Image Degradation Produces Rapid Sensitivity Decrement Over Time
Nuechterlein, K. H., Parasuraman, R., & Jiang, Q. (1983) · Science · doi:10.1126/science.6836276 · Cited by 426
Vora, J., Nair, S., Gramopadhye, A. K., et al. (2002) · Applied Ergonomics · doi:10.1016/s0003-6870(02)00039-x · Cited by 183
Rare Targets Are Rarely Missed in Correctable Search
Fleck, M. S., & Mitroff, S. R. (2007) · Psychological Science · doi:10.1111/j.1467-9280.2007.02006.x · Cited by 158
The Detection of a Simple Visual Signal as a Function of Time of Watch
Teichner, W. H. (1974) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1177/001872087401600402 · Cited by 137
The Effect of Area, Density, and Number of Background Characters on Visual Search
Drury, C. G., & Clement, M. R. (1978) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1177/001872087802000509 · Cited by 121
Vigilance and Signal Detection Theory: An Empirical Evaluation of Five Measures of Response Bias
See, J. E., Warm, J. S., Dember, W. N., & Howe, S. R. (1997) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1518/001872097778940704 · Cited by 113
Self-citation
Research works printed but not linked: 20
- Bloomfield, J.R. (1975). Studies on visual search. In C.G. Drury and J.G. Fox (Eds.), Human Reliability in Quality Control (pp. 31-43). London: Taylor & Francis.
- Craig, A. (1984). Human engineering: The control of vigilance. In J.S. Warm (Ed.), Sustained attention in human performance (pp. 247-291). Chichester, UK: Wiley.
- Davies. D.R., & Parasuraman. R. (1932). The psychology of vigilance. London: Academic Press.
- Dember, W.N., & Warm, J.S. (1979). Psychology of perception (2 nd ed.). New York: Holt, Rinehart. & Winston.
- Drury, C.G. (1989). The information environment in inspection. In Proceedings of the Second International Conference on Human Factors in Aging Aircraft. Falls Church, VA: Biotechnology, Inc.
- Drury, C.G. (1992). Inspection performance. In G. Salvendy (Ed.), Handbook of Industrial Engineering (2 nd ed.) (pp. 2282-2314). New York: John Wiley & Sons.
- Drury, C.G., & Fox, J.G. (1975). The imperfect inspector. In C.G. Drury and J.G. Fox (Eds.), Human Reliability in Quality Control (pp.11-16). London: Taylor & Francis.
- Drury, C.G., Karwan, M.H., & Vanderwarker, D.R. (1986). The two-inspector problem. IIE Transactions, 18, 174-181.
- Drury, C.G., & Lock, M.W.B. (1992). Ergonomics in civil aircraft inspection. In E.J. Lovesey, Contemporary Ergonomics (pp. 116-123). London: Taylor & Francis.
- Drury, C.G., & Prabhu, P.V. (1992). Human factors in test and inspection. In G. Salvendy & W. Karwowski (Eds.), Handbook of Human Factors in Advanced Manufacturing. New York: Wiley.
- Fox, J.G. (1977). Quality control of coins. In H.G. Maule and J.S.Weiner (Eds.). Case Studies in Ergonomics Practice, Vol. 1. London, Taylor & Francis.
- Gramopadhye, A.K., Melloy, B.J., Chen, B.J., & Bingham, J. (2000). Use of computer based training for aircraft inspection: Findings and recommendations. Proceedings of the HFES/IEA Annual Meeting, San Diego, CA.
- Graybeal, B.A., Phares, B.M., Rolander, D.D., Moore, M., & Washer, G. (2002). Visual inspection of highway bridges. Journal of Nondestructive Evaluation, 21, 67- 83.
- Heida, J.H. (1989). Characterization of inspection performance. In J. Boogard and G.M. van Dijk (Eds.), Non-Destructive Testing (Proc. 12 th World Conference) (pp. 1711-1716). Amsterdam: Elsevier.
- Jacob, R.J., Raina, S., Regunath, S., Subramanian, R., & Gramopadhye, A.K. (2004). Improving inspector's performance and reducing errors: General aviation training inspection systems (GAITS). Proceedings of the Human Factors and Ergonomics Society 48 th Annual Meeting, 48, 203-207.
- Jerison. H.J. (1963). On the decrement function in human vigilance. In D. N. Buckner & J. J. McGrath (Eds.). Vigilance: A symposium (pp. 199-212). New York: McGraw- Hill.
- Juran, J.M., & Gryna, F.M. (1988). Inspection and test. In J.M. Juran (Ed.), Juran's Quality Control Handbook ( 3 rd ed.). New York: McGraw-Hill.
- Kommidi, S., Dharwada, P., Gramopadhye, A.K., Cho, B.R., & Grimes, L. (2005). Evaluation of human performance in a supervisory inspection task monitoring multiple hybrid inspection systems. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 49, 573-577.
- Rasmussen, J. (1983). Skills, rules, knowledge: Signals, signs, and symbols and other distinctions in human performance models. IEEE Transactions: Systems, Man and Cybernetics, SMC-13, 257-267.
- Wiener, E.L. (1975). Individual and group differences in inspection. In C.G. Drury and J.G. Fox (Eds.), Human Reliability in Quality Control (pp.101-122). London: Taylor & Francis. 128. Wiener, E.I. (1984). Vigilance and inspection. In J.S. Warm (Ed.), Sustained Attention in Human Performance (pp. 207-246). Chichester: Wiley. 129.
Cited by
Sorted by citations
Automated Defect Detection and Decision-Support in Gas Turbine Blade Inspection
Aust, J., Shankland, S., Pons, D., Mukundan, R., & Mitrovic, A. (2021) · Aerospace · doi:10.3390/aerospace8020030 · Cited by 66
Metadata
- Authors
- (NNSA), U. N. N. S. A., See, J., & Sandia National Lab. (SNL-NM), A.
- Affiliations
- Office of Scientific and Technical Information (US)
- Sandia National Laboratories (US)
- Corresponding author
- USDOE National Nuclear Security Administration (NNSA)
- ORCID
- See, Judi
- Published
- 2012-10-01
- OpenAlex
- W2297976743
- Cited by
- 99
- References
- 85
- Citations by year
- 2026: 5 · 2025: 9 · 2024: 13 · 2023: 14 · 2022: 10 · 2021: 14 · 2020: 12 · 2019: 7 · 2018: 6 · 2017: 4 · 2016: 1 · 2015: 3 · 2014: 1
- Type
- report
- Language
- en
- Open access
- green
- www.osti.gov
- Locations
- OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
- University of North Texas Digital Library (University of North Texas) (submittedVersion)
- Funders
- USDOE National Nuclear Security Administration (NNSA)
- DOE (AC04-94AL85000)
- Topics
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Industrial Vision Systems and Defect Detection
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Physical Sciences › Engineering › Mechanical Engineering › Non-Destructive Testing Techniques
- Keywords
- visual inspection, inspection methods
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
