• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.4
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• pp.131-143
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• 2014

We propose a no-reference perceptual fog density and visibility prediction model in a single foggy scene based on natural scene statistics (NSS) and perceptual "fog aware" statistical features. Unlike previous studies, the proposed model predicts fog density without multiple foggy images, without salient objects in a scene including lane markings or traffic signs, without supplementary geographical information using an onboard camera, and without training on human-rated judgments. The proposed fog density and visibility predictor makes use of only measurable deviations from statistical regularities observed in natural foggy and fog-free images. Perceptual "fog aware" statistical features are derived from a corpus of natural foggy and fog-free images by using a spatial NSS model and observed fog characteristics including low contrast, faint color, and shifted luminance. The proposed model not only predicts perceptual fog density for the entire image but also provides local fog density for each patch size. To evaluate the performance of the proposed model against human judgments regarding fog visibility, we executed a human subjective study using a variety of 100 foggy images. Results show that the predicted fog density of the model correlates well with human judgments. The proposed model is a new fog density assessment work based on human visual perceptions. We hope that the proposed model will provide fertile ground for future research not only to enhance the visibility of foggy scenes but also to accurately evaluate the performance of defog algorithms.

• Korean Institute of Interior Design Journal
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• v.23 no.2
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• pp.99-107
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• 2014

Façade design makes the customer to select and remember of commercial space. Therefore, if it can be identified characteristics of perception in image evaluation, it will be possible to easy visiting space and re-selection with motivation through identity and differentiation of commercial space. For this study, cafes among commercial facilities were selected for the appreciation of the differentiated design features attracting customer's eyes through space image evaluation by gender. The followings are the conclusions drawn from the study. First, when the features of mean and deviation of [Factor 1] were employed for the appreciation of the perceptual characteristics of both men and women, it was clearly found that customers regards the facade design as a coarse one even though they are confused about whether the facade design is the straightened-up one. Second, customers perceive facade design as the one which is bright but not unique through [Factor 2] while in the process of selecting adjectives to describe it men's perception as to "being vivid but interesting" was dispersed and women's as to "Being bright" was also dispersed, too but the women perceived it as "being opaque". Third, it was revealed that the perceptual characteristics of [Factor 3] were perceived as "warm but boorish" and "warm but crude" by men and women respectively. Fourth, most (80%) of the adjectives employed for vivid description of their perception by both genders were found to be consistent.

• Spatial Information Research
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• v.18 no.3
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• pp.23-32
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• 2010

LIDAR data are useful for forest applications such as bare-earth DEM generation for forest areas, and estimation of tree height and forest biomass. As a core preprocessing procedure for most forest applications, this study attempts to develop an efficient method to detect forest areas from LIDAR data. First, we suggest three perceptual cues based on multiple return characteristics, height deviation and spatial distribution, being expected as reliable perceptual cues for forest area detection from LIDAR data. We then classify the potential forest areas based on the individual cue and refine them with a bi-morphological process to eliminate falsely detected areas and smoothing the boundaries. The final refined forest areas have been compared with the reference data manually generated with an aerial image. All the methods based on three types of cues show the accuracy of more than 90%. Particularly, the method based on multiple returns is slightly better than other two cues in terms of the simplicity and accuracy. Also, it is shown that the combination of the individual results from each cue can enhance the classification accuracy.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.14 no.12
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• pp.1223-1232
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• 2004

This study is directed toward determining the number and characteristics of psychologically meaningful perceptual dimensions required for assessing the sound quality with respect to vehicle noises, and toward identifying the acoustical and/or psychoacoustical bases underlying the preference and similarity judgments. For the purpose of analyzing the paired comparison data produced by subjective ratings we used nonmetric multidimensional scaling(MDS). The perceptual dimensions based upon preference ratings could explain 76.3 % of the variance by maximum dB(A) and sharpness acum. The correlation between objective and subjective positions of the stimuli is $R^2$=0.97(F(1,13)=195.45, p < .01), corrected $R^2$=0.93. The less the intensity of the stimulus the more becomes the subjective Position would be over-estimated relative to the objective one. The same is valid for the opposite case. The perceptual dimensions based upon similarity judgments could be accounted for 47.8 % and 23.5% of the variance, each of which might be a match for the maximum dB(A) and the sharpness acum, respectively. The correlation between objective and subjective positions of the stimuli is $R^2$=0.94(F(1,13)=92.38, p < .01), corrected $R^2$=0.87. The more the intensity of the stimulus the more becomes the subjective position would be over-estimated relative to the objective one. The same is valid for the opposite case. In other words, it is likely that the larger the amount of two stimuli which to compare would be judged similar. So far it should be further clarified that whether the relationship between preference ratings and psychological distances nay be optimized through which psycho-physical models.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.12 no.6
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• pp.437-444
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• 2002

This paper is to provide the basic way of a acoustical evaluation and efficient control noise by investigating the limits of perceptual loudness of living environment and by finding out any correlation between Physical characteristics of noise and psychoacoustic parameters. The limits of perceptual loudness were selected by the subjects in a chamber for residential and working environment. And the noise sources were analyzed to find out whether there is any correlation with Zwicker parameters and ACF factors. In this study especially, to set up the domestic evaluation grade about floor impact noise. we'd like to suggest the loudness Perception research result as fundamental resource for setting up the evaluation grade through the result that is based on annoyance. In the result of this research, upper limit of heavy-weight impact noise was L-60, and lower limit of it was L-50. On the other hand, upper limit of light-weight impact noise was L-70, and lower limit of it was L-55. It seemed that the loudness of noise from vacuum cleaner noise does not affect its perceived noisiness. Noises implicated In human such as floor walking noise and talking sound, are the most irritating noise in office environment.

• Journal of the Korean Society of Clothing and Textiles
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• v.14 no.2
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• pp.129-136
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• 1990

The purpose of the study was to develope brand positioning map for ladies' ready-to-wear, to find out evaluative criteria in perception and preference to brands, and to persent the relationship between consumer's characteristics and brand preference. Subjects were selected for the housewives of middle and high socioeconomic classes living in Seoul area. A questionnaire including items of life style, self image, similarity between brands, preference degree to brands, and demographic variables was developed for the empirical study. The questionnaire was administrated to 137 housewives during fall in 1989. Data were analyzed by cluster analysis and multidimensional scaling method. The study had two research problems. The first research problem was to construct a brand perceptual map for ladies' ready-to-wear brands, selected for the study The perceptual map was constructed on the basis of brand similarity scores by multidimensional scaling method. As a result, brands were grouped into 4 clusters, and evaluative criteria for perceptual map were found to be fashionability (classic- fashionable) and familiarity (familiar-unfamiliar). The second problem was to construct a brand preference map for ladies' ready-to-wear brands, selected for the study. The preference map was constructed on the basis of brand preference scores by multidimensional scaling method. As a result, the brands were grouped into 4 clusters and evaluative critiera for preference map were found to be fashionability (unfashionable-fashionable) and image to age (mature-young directed). Also was shown the relationship among self image, age, socioeconomic class, and brand preference. The multidimensional scaling method was found to be useful as well as valid instrument for brand positioning research and the result can be utilized for establishing strategies for ladies' ready-to-wear brands.

• Journal of Fashion Business
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• v.23 no.5
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• pp.96-110
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• 2019

With the continuous development of artificial intelligence using computers in the Fourth Industrial Age, the virtual space created by virtual reality experiences boosted by the power of artificial intelligence, provides a new experience for us. The purpose of this study is to explore the new aesthetics that the fashion industry provides to users in virtual space created by virtual reality technology. This research method is based on theoretical research on virtual reality technology and virtual space and constructs a research model applied to this research. The scope of this study is the application of virtual reality technology to fashion shows, fashion exhibitions, and fashion design apps on the website of professional virtual reality technology and fashion for the last five years from 2014 to 2019, which actively merged virtual reality technology with modern fashion. We will analyze the cases one by one. The results of this study are as follows. First, this study shows that the constructed virtual space of modern fashion using virtual reality technology creates three kinds of physical space, perceptual space, and imaginary space based on the commutative theory of virtual space formed by Swedish scholar J. $Widestr{\ddot{o}}m$. Second, virtual reality technology applied to fashion shows, fashion exhibitions, and fashion design apps is characterized by four aesthetic characteristics of presence, perceptual expansion, interactivity, and immersion in physical space, perception space, and imagination space.

• Phonetics and Speech Sciences
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• v.13 no.3
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• pp.1-13
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• 2021

This study examined the characteristics of linguistic prosody in terms of cerebral lateralization in three groups of 9 healthy speakers and 14 speakers with a history of stroke (7 with left hemisphere damage (LHD), 7 with right hemisphere damage (RHD)). Specifically, prosodic characteristics related to speech rate, duration, pitch, and intensity were examined in three types of interrogative sentences (wh-questions, yes-no questions, alternative questions) with auditory perceptual evaluation. As a result, the statistically significant key variables showed flaws in production of the linguistic prosody in the speakers with LHD. The statistically significant variables were more insufficiently produced for wh-questions than for yes-no and alternative questions. This trend was particularly noticeable in variables related to pitch and speech rate. This result suggests that when Korean speakers process linguistic prosody, such as that of lexico-semantic and syntactic information in interrogative sentences, the left hemisphere seems to be superior to the right hemisphere.

• Journal of the Korea Institute of Military Science and Technology
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• v.17 no.6
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• pp.810-820
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• 2014

Recently many studies of Radar systems mounted on ground vehicles for autonomous driving, SLAM (Simultaneous localization and mapping) and collision avoidance are reported. In near field, several hits per an object are generated after signal processing of Radar data. Hence, clustering is an essential technique to estimate their shapes and positions precisely. This paper proposes a method of grouping hits in range-doppler domains into clusters which represent each object, according to the pre-defined rules. The rules are based on the perceptual cues to separate hits by object. The morphological connectedness between hits and the characteristics of SNR distribution of hits are adopted as the perceptual cues for clustering. In various simulations for the performance assessment, the proposed method yielded more effective performance than other techniques.

• Proceedings of the KSPS conference
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• 1996.02a
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• pp.9-22
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• 1996

Among the various dysarthric subtypes, diagnosis of ataxic dysarthria is rendered when the speech characteristics include imprecise and irregular articulatory breakdowns, marked degree of speech rate impairment, overall monopitch and monoloudness, and respiratory-articulatory incoordination. Traditionally, speech pathologists have relied only upon their ‘ears’ to describe and evaluate the dysarthric speech. A statement of percentage of correct words identified by a listener do not provide so much more than an index of severity. Within the same perceptual dimension, a carefully constructed speech intelligibility test can specify patterns of errors. The patterns can contain a diagnostic value as well as Provide strategies for remediation. The phonetically transcribed texts on single words and a standard passage, 'kail' produced by an ataxic dysarthria are presented in this report, with an emphasis of the articulatory error analysis. Furthermore,, acoustic tools [e.g., spectrography to measure formant transitions, segment durations, consonant spectra, etc.] are utilized to serve as basic measures that objectively document patients' speech intelligibility, Finally, the treatment methods [e.g., spectrography as a visual feedback, gestural reorganization using pacing method, DAF (Delayed Auditory Feedback)] to modify the dysarthric behaviors are presented.