scholarly journals Recognising the dynamic form of fire

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Fintan Nagle ◽  
Alan Johnston

AbstractEncoding and recognising complex natural sequences provides a challenge for human vision. We found that observers could recognise a previously presented segment of a video of a hearth fire when embedded in a longer sequence. Recognition performance declined when the test video was spatially inverted, but not when it was hue reversed or temporally reversed. Sampled motion degraded forwards/reversed playback discrimination, indicating observers were sensitive to the asymmetric pattern of motion of flames. For brief targets, performance increased with target length. More generally, performance depended on the relative lengths of the target and embedding sequence. Increased errors with embedded sequence length were driven by positive responses to non-target sequences (false alarms) rather than omissions. Taken together these observations favour interpreting performance in terms of an incremental decision-making model based on a sequential statistical analysis in which evidence accrues for one of two alternatives. We also suggest that prediction could provide a means of providing and evaluating evidence in a sequential analysis model.

2019 ◽  
Author(s):  
Saloni Krishnan ◽  
Daniel Carey ◽  
Frederic Dick ◽  
Marcus Thomas Pearce

Implicit statistical learning is thought to play an important role in acquiring the structure of cultural communication signals such as speech and music. These are distinguished from other sensory phenomena by the fact that we not only perceive, but also reproduce them. While research has suggested an effect of implicit learning on auditory sequence reproduction, the effect has not been specifically related to statistical learning, nor has it been compared with that of passive exposure. In eight individual experiments with different task and stimulus configurations, the present research addresses these issues by presenting artificial pure-tone languages with controlled statistical properties in passive exposure, active sequence reproduction, and explicit sequence recognition tasks. The results demonstrate that statistical learning – during either passive familiarisation or sequence reproduction – surprisingly has no effect on reproduced sequence length. However, it does induce a characteristic pattern of error position effects, newly reported here, such that errors occur more often at points of low transition probability. While sequence reproduction engages statistical learning mechanisms, there is no additive influence of passive exposure and active reproduction when the two are combined, either in terms of reproduction or recognition performance. Finally, across a large sample of participants, there is no correlation between performance on the recognition and reproduction tasks. The results are consistent with an account of statistical learning in which listeners estimate the probabilistic structure of sequential auditory stimuli during passive exposure and reproduction, and then subsequently extract and memorise chunks based on this information when asked to do so in an explicit recognition task.


1978 ◽  
Vol 42 (1) ◽  
pp. 91-97 ◽  
Author(s):  
Richard A. Dubanoski ◽  
Howard R. Weiner

To test the discrimination hypothesis of the partial reinforcement effect in extinction, partial or continuous reinforcement trials were interpolated between the initial training trials of partial or continuous reinforcement and the extinction period. 112 children from Grades 2 and 3 participated in one of four conditions. Children receiving two consecutive blocks of partial reinforcement showed the greatest resistance to extinction, children receiving two consecutive blocks of continuous reinforcement showed the weakest resistance, and those receiving partial reinforcement followed by continuous reinforcement or vice versa showed intermediate levels of resistance. Discrimination between training and extinction does not seem to be the critical factor involved in the partial reinforcement effect. The results were discussed in terms of a stimulus analyzer or a sequential analysis model.


Author(s):  
Mohammed Nazrul Islam ◽  
Mohammad Ataul Karim

Automatic Bangla character recognition has been a great challenge for research and development because of the huge number of characters, change of shape in a word and in conjunctive characters, and other similar reasons. An optical joint transform correlation-based technique is developed for Bangla character recognition which involves a simple architecture, but can operate at a very high speed because of optics, and offer a very high level of accuracy with negligible false alarms. The proposed correlation technique can successfully identify a target character in a given input scene by producing a single correlation peak per target at the target location. The discrimination between target and non-target correlation peaks is found to be very high even in noisy conditions. The recognition performance of the proposed technique is observed to be insensitive to the type and number of targets. Further improvement of the technique is made by incorporating a synthetic discriminant function, which is created from distorted images of the target character and hence can make the system efficiently recognize Bangla characters in different practical scenarios.


2020 ◽  
Vol 73 (10) ◽  
pp. 1675-1683
Author(s):  
Michael J Cortese ◽  
David Von Nordheim ◽  
Maya M Khanna

We examined how word length affects performance in three recognition memory experiments to resolve discrepant results in the literature for which there are theoretical implications. Shorter and longer words were equated on frequency, orthographic similarity, age of acquisition, and imageability. In Experiments 1 and 2, orthographic length (i.e., the number of letters in a word) was negatively related to hits minus false alarms. In Experiment 3, recognition performance did not differ between one- and two-syllable words that were equated on orthographic length. These results are compatible with single-process item-noise models that represent orthography in terms of features and in which memory representation strength is a product of the probabilities that the individual features have been stored. Longer words are associated with noisier representations than shorter words.


1974 ◽  
Vol 38 (3_suppl) ◽  
pp. 1123-1126 ◽  
Author(s):  
Eugene Reardon ◽  
Frank Da Polito ◽  
Donald Polzella

This article reports an investigation of the effect of organization in word recognition. Ss learned lists of 30 words, 15 presented in associatively related triplets and 15 presenred in associatively unrelated triplets. No difference was found between lists when d' values were used as a measure of recognition performance. However, Ss gave higher confidence judgments for hits and false alarms from associatively related triplets. The results suggest that the familiarity distributions of old and new items may have shifted upward under the organized condition.


2019 ◽  
Vol 64 ◽  
pp. 03004
Author(s):  
Selma Saraoui ◽  
Azeddine Belakehal ◽  
Abdelghani Attar ◽  
Amar Bennadji

Daylight is currently at the centre of discourse on architectural space. The definition of architectural space takes essence from Euclidean geometry related to metric dimensions. The present study is an attempt to shed light on topology which is a non-Euclidean geometry. It can support non-metric components of space such as light to define architectural space. A corpus of six European museums has been chosen to study the immaterial or material relationships between form and daylight, since light is an essential element for the success of the exhibition. It also seeks to highlight discontinuity reports, and to confirm their existence through their software visualizations Therefore, the current study has taken into account an analysis model based on the notions of "route" and "sequence". The contemporary architectural project focused on taking into account human postures, both physical and psychological, within the architectural space. The results obtained show that light can release other spatial features for the museum space that can be highlighted by visualization with sequential analysis.


2014 ◽  
Vol 644-650 ◽  
pp. 4322-4324
Author(s):  
Xue Ding ◽  
Shun Han ◽  
Hong Hong Yang ◽  
Xiao Feng Wang ◽  
Kun Wu Yang

As the number of students who attend the arts exams has been growing, each admission institutions need to score the human head portraits of art sketch with the number of ten thousand and even 100 thousand. Thus it is an innovative research on how to conduct image recognition with the help of advanced computer technology. Image Recognition Technology is to give the computer the intelligence of human vision, so that the computer can quickly and accurately recognize the object on the input images. However, in the recognition process such factors as light, rotation and shield increase the difficulty of identifying the human head portrait images. In order to get better recognition performance, this paper studies the feature extraction of human head portrait based on SIFT (Scale Invariant Feature Transform). From the practical application, it can be seen that the approach proposed in this paper is feasible and is of good recognition performance.


2010 ◽  
Vol 97-101 ◽  
pp. 4399-4402
Author(s):  
An Hua Peng

Mechanical motion appraisal contains many-sided contents such as technical performance and economic one, which may be have much uncertain knowledge or information. Factors in different levels or in the same ones get in touch mutually,influence upon each other, composing an ample grey system by combined action. Contact and restrict in various properties are effectively synthesized through levels of grey relational analysis model, resulting in dealing with uncertain knowledge or information in rational method, an objective reflection of the true nature, limiting subjective factors to the minimum. The method is successfully applied to the choice of paper-cut mechanism, finally selecting the niutou-plane mechanism as the best one from the three to be selected.


2010 ◽  
Vol 13 (2) ◽  
pp. 557-571 ◽  
Author(s):  
Aurora G. Suengas ◽  
Trinidad Ruiz Gallego-Largo ◽  
Teresa Simón

Recognition performance does not usually change along the lifespan, but the response criterion usually does, and in general, it changes from being conservative during youth to being liberal, in old age. The focus of the present study is to analyze the changes that take place, both in discrimination and response criterion, as a result of aging in two recognition tasks: one with neutral images, and the other with faces showing positive and negative emotional expressions. Two groups of participants performed both tasks: young (N = 21; age range, 17-33 years), older (N = 21; age range, 65-91 years). The analyses of several discrimination parameters (d′ and probability of recognition) and the response criterion yielded significant age differences. Thus, results indicated that the ability to discriminate of older participants was better than that of younger participants when having to recognize neutral images, and faces with negative emotional expressions. The response criterion of younger participants was always conservative, whereas older participants only showed liberal criteria in front of faces with emotional expressions. In relation to the neutral images, the response criterion of older participants was optimum, because it led to more hits, without increasing the false alarms. The results are partially explained by the tasks differential difficulty, and are discussed within the frame of Simulation theory.


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