Results of high latitude trials of modern marine compasses

Andreev, A.G.; Ermakov, V.S.; Mafter, M.B.; Kokorin, V.I.; Rumiancev, C.V.

doi:10.1109/maes.2005.1581098

Cited by 9 publications

(5 citation statements)

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“…Based on this result, we suggest that not only the multiple-target identification task but also the knowledge about the seriousness of lesions can be important to improve the performance in medical image reading. Experts have more visual knowledge in their expert domain than novices in a medical screening (Evans et al, 2011a), or an airport security screening (Schwaninger et al, 2005). Thus, to obtain expert knowledge can generally be effective to improve the visual search performance, especially the visual search for rare targets, in the expert domain.…”

Section: Discussionmentioning

confidence: 99%

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Visual Search of Experts in Medical Image Reading: The Effect of Training, Target Prevalence, and Expert Knowledge

Nakashima¹,

Kobayashi²,

Maeda³

et al. 2013

Front. Psychol.

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The aims of this study are (a) To determine the effect of training on the multiple-target lesion search performance; and (b) To examine the effect of target prevalence on the performance of radiologists and novices. We conducted four sessions of 500 trials in a lesion search on a medical image task in which participants searched for three different target lesions. Participants were 10 radiologists and novices. In each session, the prevalence of the different target lesions varied from low (2%) to high (40%). The sensitivity of novices was higher in the later sessions than in the first session, whereas there were no differences among sessions in radiologists. The improvement on sensitivity of novices was largely due to attenuations of false alarm (FA) errors. In addition, miss rates of the three targets did not differ in data of novices, whereas radiologists produced a higher miss rate for the highest prevalence target lesion (non-serious lesion) than for the other two lesions (serious lesions). The conclusions are (a) The training for the multiple-target lesion search task can be effective to reduce FA errors; and (b) The prevalence effect on lesion search can be attenuated by the multiple-target identification and the knowledge about seriousness of lesions. This suggests that acquired knowledge about normal cases and serious lesions is an important aspect of a radiologists’ skill in searching for medical lesions and their high performance levels.

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Section: Discussionmentioning

confidence: 99%

“…For example, there are professional proofreaders (Asano et al, 2008), chess masters (Chase and Simon, 1973), aviation security screeners (Schwaninger et al, 2005), and so on. Among them, we focused on radiologists (i.e., experts for medical image reading).…”

Section: Introductionmentioning

confidence: 99%

Visual Search of Experts in Medical Image Reading: The Effect of Training, Target Prevalence, and Expert Knowledge

Nakashima¹,

Kobayashi²,

Maeda³

et al. 2013

Front. Psychol.

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“…in the polar region are obviously different from those in the middle and low latitudes, the economic and political costs of carrying out actual polar navigation experiments are relatively high [17,18]. Only some countries and companies have the conditions to conduct polar navigation test directly [19][20][21][22].…”

Section: Introductionmentioning

confidence: 99%

Virtual Polar Region Method Based on the Earth’s Transverse Ellipsoid Model

Wu¹,

Shao²,

Gu³

et al. 2021

Mathematical Problems in Engineering

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Experimental verification is very important for the research of inertial navigation and integrated navigation technology, but most researchers do not have the opportunity to conduct experiments directly in the polar regions. In order to solve the problem of inertial navigation verification in high latitude areas, a virtual polar region method based on transverse ellipsoid model is proposed. The method converts the reference information, initial state, and inertial sensor data into polar regions based on the transverse geographic coordinate system and can ensure that the attitude, velocity, and altitude information relative to the local-level frame remain unchanged. Therefore, the actual test data in the middle and low latitudes can be reconstructed accurately in the polar region without singularities, trajectory deformation, and principle errors. Simulation and vehicle tests show that the proposed method can achieve the same verification effect as the actual polar experiment.

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“…Information about gyrocompass alignment for its accuracy evaluations and practical usages was given in Ref. [10]. Yan et al [11] used the reverse navigation algorithm to get a fast gyrocompass alignment, gave the attitude updating process in backward scheme, and then derived the reciprocating process for gyrocompass alignment.…”

Section: Introductionmentioning

confidence: 99%

A novel gyrocompass alignment method under large azimuth misalignment angle

Wei

Zhang

Yang

et al. 2015

J. Shanghai Jiaotong Univ. (Sci.)

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Conventional gyrocompass alignment methods are based on relatively small azimuth misalignment angles. However, a marine strapdown inertial navigation system may face large azimuth misalignment angle caused by a failed coarse alignment algorithm. This paper provides a novel gyrocompass alignment method to solve the problem. Effects of system parameters are analyzed and the proper scenario of parameter switch based on the classic control theories is derived. Test results show that compared with the conventional methods, our method can accomplish the initial alignment quickly and accurately under large azimuth misalignment angle.

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Results of high latitude trials of modern marine compasses

Cited by 9 publications

References 0 publications

Visual Search of Experts in Medical Image Reading: The Effect of Training, Target Prevalence, and Expert Knowledge

Visual Search of Experts in Medical Image Reading: The Effect of Training, Target Prevalence, and Expert Knowledge

Virtual Polar Region Method Based on the Earth’s Transverse Ellipsoid Model

A novel gyrocompass alignment method under large azimuth misalignment angle

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