Visual recognition

Behavioral responses to light have long been of interest to aquatic scientists, both freshwater and marine. Light-mediated behaviors such as mate recognition, visual foraging, and especially vertical migration are the focus of numerous studies spanning a wide diversity of taxa [1-3]. However, the role of UVR in these and other behaviors has only recently been more closely examined. 

Cognitive Tasks Digit-symbol substitution, mathematical and verbal reasoning, memory, pattern recognition, visual backward masking, card sorting. 31 145... 

Quantitative determined visual recognition for usual inspections, indicate that for indications with lengths over about 1.5 mm tbe probability of recognition is about 100 %. This is also applied to the penetrant inspection. This does not include the so called "human factor" which means that it cannot be guaranted that the inspector detects all indications for instance not always observing the inspection surface with full concentration. 

The visual recognition or acuity is related to physiological lightening [3, 5], Visual acuity depends on the following parameters ... 

The visibility level VL of special viewing tasks may be estimated from the the correlations of the quantitative visual recognition. For an adaptation luminance of 10 cd/m2 and given contrasts (C = 0.5 1.0 2.0), VL is described in Fig. 1 in dependance on the object dimension 3 in angular minutes. An object dimension of T represents a circle with a diameter of 0 12 mm in a distance of 0 4 m. 

In the wide field of applications, a visibility level VL = 3 - 60 is recommended. For our recognition task, we are obliged to take into account that our random conditions are far from the experimental conditions of the basic researches (Young test person with a high visus under ideal environmental conditions) [4]. Furthermore in our case we have a more difficult visual searching task. Parameter variations as the increase of presentation time from 0,2 to 1.0 s. and the detection propability from 50% to 100% are taken into account [5] In spite of the gliding variations of the parameters as well as the visibility level, for simplification let us assume VL = 10 as minimum requirement. 

Note In the case of HPTLC plates the detection limit for the visual recognition of the violet = 530 nm) colored chromatogram zones was 20 ng per chromatogram zone. With the exception of the two tetrahydrosteroids the cor-ticosteriods could be detected on TLC plates with fluorescent indicators by reason of fluorescence quenching (Fig. 1 A). Figure 2 illustrates the absorption scans of the separations illustrated in Figures 1A and 1B. 

A regularly formed crystal of reasonable size (typically >500 pm in each dimension) is required for X-ray diffraction. Samples of pure protein are screened against a matrix of buffers, additives, or precipitants for conditions under which they form crystals. This can require many thousands of trials and has benefited from increased automation over the past five years. Most large crystallographic laboratories now have robotics systems, and the most sophisticated also automate the visualization of the crystallization experiments, to monitor the appearance of crystalline material. Such developments [e.g., Ref. 1] are adding computer visualization and pattern recognition to the informatics requirements. 

In this context, Benson and Ponton declare that while the chemical industry has made considerable achievements in reactor performance, safety and control, comparable to those in the microelectronics business, this success is by no means evident to the public, in deep contrast to the latter [139], It is said that this is mainly and in a way simply due to the visual recognition of chemical production plants. From a distance and for somebody outside the field, the chemical plants of the late 1940s and the early 1990s look virtually similar, whereas one is able immediately to see the big differences in, e.g., television sets and automobiles. Hence it is not evident that notable improvements were made over the decades. 

T. Visser, H.J. Luinge and J.H. van der Maas, Recognition of visual characteristics of infrared spectra by artificial neural networks and partial least squares regression. Anal. Chim. Acta, 296 (1994). 

Milner, B. Visual recognition and recall after right temporal... 

To combat attacks with fast-acting agents in the terminals, continuous visual surveillance of densely populated areas and observation of behavior patterns may be as useful as any detector. The TSA should study the feasibility of the widespread deployment of surveillance cameras in populated areas, coupled with behavioral-pattern-recognition software, as an alternative to chemical agent detectors. Such cameras could also provide a dual-use value in improving the overall security environment. In addition, many critical nodes in the air transportation system (control rooms, emergency-response centers, and so on) are supplied with air that is recirculated from publicly accessible areas this makes them vulnerable to being disabled by the release of... 

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