• The Journal of the Convergence on Culture Technology
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• v.5 no.4
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• pp.79-85
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• 2019

'Experiments in Art and Technology' Group was established in the mid-20th century, and then developed the larger interdisciplinary experiments into the range of art world and its outside field. The motive power of group's activities was the collaboration between artists and engineers traversing the boundary between old different disciplinary conventions. E.A.T was officially launched in 1967 by the engineers Billy $Kl{\ddot{u}}ver$ and Fred Waldhauer and the artists Robert Raushenberg and Robert Whitman. They performed various possibility of material, technology, and engineering available to contemporary art. By reflecting the function of art and technology in society, eventually they developed the methodology of new aesthetics which had organic relationship with contemporary world. In this sense, this research have its academic significance. This paper firstly examined the socio-cultural context of emerging the E.A.T. group as a representative model for convergent practice, and verified the fact that the collaboration between artists and engineers had produced the expansion of artistic expression as well as new relationship among art, engineering, and society by considering E.A.T's various projects. Therefore, I will refer the E.A.T. group as an exemplary model for concrete method of collaboration that contemporary discourses about convergence need.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.1
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• pp.51-73
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• 2023

Social media play a significant role in communicating information across the globe, connecting with loved ones, getting the news, communicating ideas, etc. However, a group of people uses social media to spread fake information, which has a bad impact on society. Therefore, minimizing fake news and its detection are the two primary challenges that need to be addressed. This paper presents a multi-modal deep learning technique to address the above challenges. The proposed modal can use and process visual and textual features. Therefore, it has the ability to detect fake information from visual and textual data. We used EfficientNetB0 and a sentence transformer, respectively, for detecting counterfeit images and for textural learning. Feature embedding is performed at individual channels, whilst fusion is done at the last classification layer. The late fusion is applied intentionally to mitigate the noisy data that are generated by multi-modalities. Extensive experiments are conducted, and performance is evaluated against state-of-the-art methods. Three real-world benchmark datasets, such as MediaEval (Twitter), Weibo, and Fakeddit, are used for experimentation. Result reveals that the proposed modal outperformed the state-of-the-art methods and achieved an accuracy of 86.48%, 82.50%, and 88.80%, respectively, for MediaEval (Twitter), Weibo, and Fakeddit datasets.

• ETRI Journal
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• v.41 no.6
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• pp.797-810
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• 2019

Image saliency detection is the basis of perceptual image processing, which is significant to subsequent image processing methods. Most saliency detection methods can detect only a single object with a high-contrast background, but they have no effect on the extraction of a salient object from images with complex low-contrast backgrounds. With the prior knowledge, this paper proposes a method for detecting salient objects by combining the boundary contrast map and the geodesics-like maps. This method can highlight the foreground uniformly and extract the salient objects efficiently in images with low-contrast backgrounds. The classical receiver operating characteristics (ROC) curve, which compares the salient map with the ground truth map, does not reflect the human perception. An ROC curve with distance (distance receiver operating characteristic, DROC) is proposed in this paper, which takes the ROC curve closer to the human subjective perception. Experiments on three benchmark datasets and three low-contrast image datasets, with four evaluation methods including DROC, show that on comparing the eight state-of-the-art approaches, the proposed approach performs well.

• Journal of Conservation Science
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• v.10 no.1 s.13
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• pp.10-20
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• 2001

Since the feasibility for the application of laser to the conservation of artworks had been demonstrated by John F. Asmus at 1972 it was known from many experiments that laser cleaning technology Provided superior characteristics over conventional cleaning methods based on mechanical and chemical actions. Then, the research and development of the cleaning technology was carried out strongly in Europe and many successful cleaning applications such as stone, painting, stained glass, paper, leather, and metal have been reported. However this is not familiar as a cleaning tool in the restoration of artworks in oriental countries including Korea. Therefore, this article aims to introduce a laser cleaning technology and its characteristics for the applications to art restoration. The contents in this article include general principles and characteristics of laser, the introduction of laser cleaning technology, and real laser applications for artwork restoration.

• Food Science and Preservation
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• v.14 no.6
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• pp.669-675
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• 2007

Quality characteristics of Kwamaegi (semi-dried saury) prepared by treatment of chitosan-ascorbate (CA) and vacuum drying at $40{\sim}60^{\circ}C$(VDK), and the effect of the Kwamaegi on serum lipid profiles and anti-oxidation-related enzyme activity in rats fed high fat diets were investigated. The preparation periods were $4.5{\sim}8.3$ hr in VDK, while naturally dried Kwamaegi (NDK) took 360480 hr. Total microbe contents of VDK and NDK were $0.2{\sim}0.5$ and 8.2 log CFU/g, respectively. There was no significant difference in amino-nitrogen content. Compared with NDK, the acid and peroxide value, and fishy flavor of VDK40 (dried at $40^{\circ}C$) were significantly lower, and the texture, color and overall acceptability were higher. In animal experiments, weight gain, content of LDL-cholesterol and lipid peroxide, activities of total (T) and O type (O) xanthine oxidase, and the O/T ratio (%) were significantly lower in the VDK40 diet group than in the NDK diet group. The content of HDL-cholesterol in the VDK40 diet group was higher than in the NDK diet group. These results suggest that preparing CA-treated Kwamaegi with vacuum-drying at $40^{\circ}C$ can be applied throughout the year, and may shorten preparation time and improve its microbiological safety and nutritional values.

• Korean Journal of Food Science and Technology
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• v.7 no.1
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• pp.11-14
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• 1975

This work was carried out to determine that ginseng cake (meal) could be substituted for 10% level of chicken feed. The feeding experiment was held with 180 laying hens for 8 weeks. And the results were as tin the followings, 1. Protein content of the ginseng cake was lower (4.25%) than that of the control feed (18.72%: commertial chicken feed), and crude fiber of the ginseng cake was higher (14.73%) than that of the control (9.39%). 2. Slight increasings of body weight were observed in the group of the control feed (10 g) and the group of the feed containing 10% of the ginseng meal (24 g), significant increasing (50 g) was seen in the group of the feed containing 5% of the ginseng meal (p<0.05). 3. The feed efficiency of the ginseng group was slightly higher than that of the control group, but significant defferences were not recognized. 4. Egg laying ratio of the 5% ginseng group was somewhat higher than that of the other groups, and egg weight of each group was almost same. With all the results of this experiments, it was identified that ginseng cake is able to be substituted for the feed of laying hen within 10% level.

• Journal of Korea Entertainment Industry Association
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• v.15 no.3
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• pp.41-50
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• 2021

While artificial intelligence is rapidly replacing human jobs, the art field where human creativity is important is considered an exception. There are currently several AI mastering services in the field of mastering music, a profession at the border between art and technology. In general, the quality of AI mastering is considered to be inferior to the work of a human professional mastering engineer. In this paper, acoustic analysis, listening experiments, and expert interviews were conducted to compare AI and human experts. In the acoustic analysis, In the analysis of audio, there was no significant difference between the results of professional mastering engineers and the results of artificial intelligence. In the listening experiment, the non-musicians could not distinguish between the sound quality of the professional mastering engineer's work and the artificial intelligence work. The group of musicians showed a preference for a specific sound source, but the preference for a specific mastering did not appear significantly. In an expert interview, In expert interviews, respondents answered that there was no significant difference in quality between the two mastering services, and the biggest difference was the communication method between the mastering service provider and the user. In addition, as data increases, it is expected that artificial intelligence mastering will achieve rapid quality improvement and further improvement in communication.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.8
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• pp.3295-3311
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• 2020

With the wide application of hyperspectral images, it becomes more and more important to compress hyperspectral images. Conventional recursive least squares (CRLS) algorithm has great potentiality in lossless compression for hyperspectral images. The prediction accuracy of CRLS is closely related to the correlations between the reference bands and the current band, and the similarity between pixels in prediction context. According to this characteristic, we present an improved CRLS with adaptive band selection and adaptive predictor selection (CRLS-ABS-APS). Firstly, a spectral vector correlation coefficient-based k-means clustering algorithm is employed to generate clustering map. Afterwards, an adaptive band selection strategy based on inter-spectral correlation coefficient is adopted to select the reference bands for each band. Then, an adaptive predictor selection strategy based on clustering map is adopted to select the optimal CRLS predictor for each pixel. In addition, a double snake scan mode is used to further improve the similarity of prediction context, and a recursive average estimation method is used to accelerate the local average calculation. Finally, the prediction residuals are entropy encoded by arithmetic encoder. Experiments on the Airborne Visible Infrared Imaging Spectrometer (AVIRIS) 2006 data set show that the CRLS-ABS-APS achieves average bit rates of 3.28 bpp, 5.55 bpp and 2.39 bpp on the three subsets, respectively. The results indicate that the CRLS-ABS-APS effectively improves the compression effect with lower computation complexity, and outperforms to the current state-of-the-art methods.