• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.11
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• pp.4065-4083
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• 2021

Super-resolution can improve the clarity of low-resolution (LR) images, which can increase the accuracy of high-level compute vision tasks. Portable devices have low computing power and storage performance. Large-scale neural network super-resolution methods are not suitable for portable devices. In order to save the computational cost and the number of parameters, Lightweight image processing method can improve the processing speed of portable devices. Therefore, we propose the Enhanced Information Multiple Distillation Network (EIMDN) to adapt lower delay and cost. The EIMDN takes feedback mechanism as the framework and obtains low level features through high level features. Further, we replace the feature extraction convolution operation in Information Multiple Distillation Block (IMDB), with Ghost module, and propose the Enhanced Information Multiple Distillation Block (EIMDB) to reduce the amount of calculation and the number of parameters. Finally, coordinate attention (CA) is used at the end of IMDB and EIMDB to enhance the important information extraction from Spaces and channels. Experimental results show that our proposed can achieve convergence faster with fewer parameters and computation, compared with other lightweight super-resolution methods. Under the condition of higher peak signal-to-noise ratio (PSNR) and higher structural similarity (SSIM), the performance of network reconstruction image texture and target contour is significantly improved.

• Journal of the Institute of Convergence Signal Processing
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• v.23 no.4
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• pp.249-255
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• 2022

Potholes are an important clue to the structural defects of asphalt pavement and cause many casualties and property damage. Therefore, accurate pothole detection is an important task in road surface maintenance. Many machine learning technologies are being introduced for pothole detection, and data preprocessing is required to increase the efficiency of deep learning models. In this paper, we propose a preprocessing method that emphasizes important textures and shapes in pothole datasets. The proposed preprocessing method uses intensity transformation to reduce unnecessary elements of the road and emphasize the texture and shape of the pothole. In addition, the feature of the porthole is detected using Superpixel and Sobel edge detection. Through performance comparison between the proposed preprocessing method and the existing preprocessing method, it is shown that the proposed preprocessing method is a more effective method than the existing method in detecting potholes.

• Korean Journal of Soil Science and Fertilizer
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• v.32 no.3
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• pp.279-284
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• 1999

Fly ash is the fine ash particles that are flying out of chimney of the thermoelectric power plant where coals are used as fuel. There are two kinds of fly ashes from anthracite and bituminous coal. By scanning electron microscope(SEM) morphological feature of fly ash was confirmed to the exact spherical particles with the diameter variation from the fine to the largest about $50{\mu}m$(mainly silty particle). Surface of anthracite ash particle was very smooth but that of bituminous was somewhat coarse. To find the utilization of fly ash for improving soil permeability, soils of 4 kinds of different texture, clay, clay loam, sandy clay loam and sand mere applied with 7 levels of fly ash: 0, 10, 20, 40, 60, 80, 100%(w/w) and their saturated hydraulic conductivity(Ks) were determined at each application by constant head method. In clay soil with low water permeability, Ks value was increased about 10 times from $10^{-8}$ to $10^{-7}m\;s^{-1}$ level with application of 10% fly ash and it was slightly increased with increasing fly ash application from 40 to 80%. In clay loam Ks value was about $10^{-7}m\;s^{-1}$ level and its value was not influenced by the fly ash application. In sandy clay loam with relatively high permeability, Ks value was decreased about 10 times from $10^{-5}$ to $10^{-6}m\;s^{-1}$ level with application of 10% fly ash and also decreased about 50 times from $10^{-5}$ to $5.0{\times}10^{-7}m\;s^{-1}$ with application of more than 20% fly ash. In sand with very high permeability, Ks value was decreased about 10 times from $10^{-4}$ to $10^{-5}m\;s^{-1}$ level with application of 10% fly ash and also decreased about 100 times from $10^{-4}$ to $10^{-6}m\;s^{-1}$ level with application of 20% fly ash and continuously decreased about 500 times from $10^{-4}$ to $5.0{\times}10^{-7}m\;s^{-1}$ level with application of more than 40% fly ash. In conclusion by fly ash application saturated hydraulic conductivity was increased in clay soil, on the contrary it was decreased in sandy soils. Fly ash may be used as a material for amelioration of soil permeability.

• Journal of radiological science and technology
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• v.26 no.1
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• pp.71-82
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• 2003

In this paper, I proposed a classifier of liver cirrhotic step using T1-weighted MRI(magnetic resonance imaging) and hierarchical neural network. The data sets for classification of each stage, which were normal, 1type, 2type and 3type, were obtained in Pusan National University Hospital from June 2001 to december 2001. And the number of data was 46. We extracted liver region and nodule region from T1-weighted MR liver image. Then objective interpretation classifier of liver cirrhotic steps in T1-weighted MR liver images. Liver cirrhosis classifier implemented using hierarchical neural network which gray-level analysis and texture feature descriptors to distinguish normal liver and 3 types of liver cirrhosis. Then proposed Neural network classifier teamed through error back-propagation algorithm. A classifying result shows that recognition rate of normal is 100%, 1type is 82.3%, 2type is 86.7%, 3type is 83.7%. The recognition ratio very high, when compared between the result of obtained quantified data to that of doctors decision data and neural network classifier value. If enough data is offered and other parameter is considered, this paper according to we expected that neural network as well as human experts and could be useful as clinical decision support tool for liver cirrhosis patients.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.1
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• pp.507-515
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• 2015

This paper suggests 6 cases of TFA parameters algorithm(Mean, VA, RS, SKEW, UN, EN) to search for the detection of recognition rates regarding breast disease using CAD on ultrasound images. Of the patients who visited a university hospital in Busan city from August 2013 to January 2014, 90 cases of breast ultrasound images based on the findings in breast US and pathology were selected. $50{\times}50$ pixel size ROI was selected from the breast US images. After pre-processing histogram equalization of the acquired test images(negative, benign, malignancy), we calculated results of TFA algorithm using MATLAB. As a result, in the TFA parameters suggested, the disease recognition rates for negative and malignancy was as high as 100%, and negative and benign was approximately 83~96% for the Mean, SKEW, UN, and EN. Therefore, there is the possibility of auto diagnosis as a pre-processing step for a screening test on breast disease. A additional study of the suggested algorithm and the responsibility and reproducibility for various clinical cases will determine the practical CAD and it might be possible to apply this technique to range of ultrasound images.

• Journal of the Korean Society of Food Culture
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• v.16 no.2
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• pp.147-157
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• 2001

In order to investigate the eating out behavior of university students, this survey was conducted using the questionaires for 710 students(369 male, 341 female) from 11 universities in Seoul. It was revealed that 39.4% of the subjects spent $60,000{\sim}100,000$ won for monthly eating out cost and 57.8% of them ate out more than once a day. Most of them expended less than 3,500 won for lunch, while 36.5% of them spent $4,000 {\sim}5,000$ won for dinner. Dinner was regarded more important than lunch. Korean foods were the most preferred menu for eating out with friends and fast foods were the second. But Boonsik(snack bar foods), Chinese foods and Japanease foods were rarely selected. Frequency of selecting fast foods was 8 times greater than that of Boonsik. This indicates that the preference of western flavor and the pursuit of convenience is getting more obvious. While dating, western foods were preferred, followed by Korean foods, fast foods. The 80 kinds of foods were reported as favored eating out foods. Although 50 among 80 were Korean foods, the rest of them were Koreanized foreign foods most of those were western style. This may suggest that when the students become adults, they will be much fond of western dish for their dinning out. This tendency of preferring western flavor were much apparent in foods for dinner compared with lunch. In both sexes, the standard of food choice was in the order of taste, price, mood, hygiene, service and brand name. But male students were more conscious of price and service while female students were more concerned about taste and hygiene. Most unsatisfying feature in restaurant was unstable atmosphere for both sexes. Taste was the most important sensory factor in selecting the foods, followed by appearance, smell and texture. Major source of restaurant information was recommendation by friends or relatives. But the use of internet or magazine was negligible. Female students had more positive attitude, compared with male students, in using restaurant information and pursuing eating out for gourmet. The dining out menu of which price ranges about $3,000{\sim}5,000$ won could be preferable foods for most people. Therefore, instead of blaming them for eating too much fast foods, new menus which fit the food preference and affordability of the students should be developed.

• The Transactions of the Korea Information Processing Society
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• v.4 no.6
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• pp.1418-1432
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• 1997

Most general content_based image retrieval techniques use color and texture as retrieval indices. In color techniques, color histogram and color pair based color retrieval techniques suffer from a lack of spatial information and text. And This paper describes the design and implementation of content_based image retrieval system using color space and keywords. The preprocessor for image retrieval has used the coordinate system of the existing HSI(Hue, Saturation, Intensity) and preformed to split One image into chromatic region and achromatic region respectively, It is necessary to normalize the size of image for 200*N or N*200 and to convert true colors into 256 color. Two color histograms for background and object are used in order to decide on color selection in the color space. Spatial information is obtained using a maximum entropy discretization. It is possible to choose the class, color, shape, location and size of image by using keyword. An input color is limited by 15 kinds keyword of chromatic and achromatic colors of the Korea Industrial Standards. Image retrieval method is used as the key of retrieval properties in the similarity. The weight values of color space ${\alpha}(%)and\;keyword\;{\beta}(%)$ can be chosen by the user in inputting the query words, controlling the values according to the properties of image_contents. The result of retrieval in the test using extracted feature such as color space and keyword to the query image are lower that those of weight value. In the case of weight value, the average of te measuring parameters shows approximate Precision(0.858), Recall(0.936), RT(1), MT(0). The above results have proved higher retrieval effects than the content_based image retrieval by using color space of keywords.

• Conservation Science in Museum
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• v.16
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• pp.4-13
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• 2015

In most gold objects crafted using the granulation technique that have been thus far discovered in the Korean Peninsula, granules were joined using a soldering alloy of gold and silver. However, it was recently revealed through SEM-EDS analysis performed on the ornamented dagger sheath from Gyerim-ro Tomb No.14 in Gyeongju that the gold granules were joined to the surface of this sheath using an entirely different technique. The gold granules on the Gyerim-ro dagger sheath are evenly sized and shaped, the surface has a dendritic texture. Dendritic textures are a characteristic feature of metal alloys, not observed in pure metals. As a matter of fact, the gold granules were made of a ternary alloy of 77wt% Au, 18wt% Ag and 4wt% Cu. Due to this component, the alloy has a melting point below 1000℃ (approximately 980℃), which is significantly lower than 1064℃, the melting temperature of pure gold. This makes it possible to join the gold granules directly to the surface of the sheath by briefly heating them to high temperature, without the use of soldering or any other media. When examined through SEM image, the surface of the sheath showed no traces of soldering, it suggests that the granules were joined through unaided fusion.

• Journal of the Korean Society of Clothing and Textiles
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• v.21 no.8
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• pp.1353-1364
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• 1997

The purpose of this study is to present a theoretical framework for analysis and interpretation of medieval look in fashion by investigating its aesthetic values. Accordingly, it would provide a better understanding of the medieval culture with its composite aspects. Modernism sought to make the Middle Ages in its own image.'New Medievalism' has on the whole tried to avoid reading the Middle Ages onto the modern world. Instead it designates a predisposition about the discipline of medieval studies broadly conceived. Consequently, it has changed the viewpoint of medieval culture from the one-sided angle into the diversified one. As recent studies based on New Medievalism have argued, a close look at the medieval culture revealed the dualistic nature of it, with contradictory aspects such as piety and secularity, ideality and formality coexisting. The characteristics of the medieval culture are categorized to asceticism, naturalism, mysticism and secularism. Asceticism, which is responsible for the melancholic and heavy atmosphere of the medieval culture, is related to christianity and despair of life. It is expressed in medieval dress in forms of body-concealing semi-fitted silhouette, coarse texture and dark color. As a reaction to the extreme splendor and exposure of recent fashion, the ascetic medieval look is attracting attention. The monastic look is characterized by body-concealing silhouettes and minimalized usage of colors and details. Naturalism is the feature seeking for purity of the nature and the human itself. It appears in terms of line as a smooth curve flowing along the body contours, or as a revival style of the Greco-Roman drapery in the medieval dress. Naturalism in the medieval look of the late 20th century fashion is expressed as a pure image with the use of sheer and soft fabric to form a smooth curve flowing along the body contours. Mysticism symbolizes the authority of the Christ and the glory of heaven. It is presented in the medieval dress of the body-concealing straight silhouette made of gorgeous fabrics, brilliant colors and decorations by gems and gold. The insecurity caused by the fin-de-siecle mood is creating a strong interest in religion and it is reflected in fashion as a medieval look reviving the solemn and magnificent style of the medieval dress. Secularism is a reflection of the medieval mind of indulging in the beauty of the mundane world. Heraldry and excessive decorations of the medieval dress are forms of this secularism. These styles of gorgeousness are being refined into a new medieval look of the 1990's. The medieval look of the modern fashion is featured in various styles, reflecting the pluralism of the postmodern society.

• Korean Journal of Materials Research
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• v.21 no.10
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• pp.573-579
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• 2011

Highly textured Ag, Al and Al:Si back reflectors for flexible n-i-p silicon thin-film solar cells were prepared on 100-${\mu}m$-thick stainless steel substrates by DC magnetron sputtering and the influence of their surface textures on the light-scattering properties were investigated. The surface texture of the metal back reflectors was influenced by the increased grain size and by the bimodal distribution that arose due to the abnormal grain growth at elevated deposition temperatures. This can be explained by the structure zone model (SZM). With an increase in the deposition temperatures from room temperature to $500^{\circ}C$, the surface roughness of the Al:Si films increased from 11 nm to 95 nm, whereas that of the pure Ag films increased from 6 nm to 47 nm at the same deposition temperature. Although Al:Si back reflectors with larger surface feature dimensions than pure Ag can be fabricated at lower deposition temperatures due to the lower melting point and the Si impurity drag effect, they show poor total and diffuse reflectance, resulting from the low reflectivity and reflection loss on the textured surface. For a further improvement of the light-trapping efficiency in solar cells, a new type of back reflector consisting of Ag/Al:Si bilayer is suggested. The surface morphology and reflectance of this reflector are closely dependent on the Al:Si bottom layer and the Ag top layer. The relationship between the surface topography and the light-scattering properties of the bilayer back reflectors is also reported in this paper.