We investigated the standard cultivation substrate for Sparassis latifolia "Neowul" bred in Jeollabuk-do Agricultural Research and Extension Services. Cultivation characteristics and yield were assessed by varying the kind of sawdust and additives, and the mixing ratio. The cultivation period in larch sawdust was the shortest at 97 days. The yield was excellent (143.6 g). The findings indicated that larch is a tree species appropriate for the cultivation of S. latifolia. When the additives were varied, the yield and productivity (53.1%) were highest (116.6 g) for the wheat bran treatment. Thus, wheat bran would be an additive appropriate for culturing S. latifolia. Concerning the use of different mixing ratios, larch sawdust:beet-pulp:wheat bran ratios of 80:15:5 and 85:10:5 resulted in yields of 114.4 g and 111.4 g, and productivity of 52.5% and 51.8%, respectively. These yield and productivity values were not statistically different. Thus, the standard cultivation substrate for S. latifolia can comprise larch sawdust, beet pulp, and wheat bran at a ratio of 80:15:5 or 85:10:5. The carbon/nitrogen (C/N) ratio assumed to be appropriate for the cultivation of S. latifolia was 184-223. Pinheading would be difficult below a C/N substrate ratio of 105. Thus, the C/N ratio of the media, as well as the pH, would be vital factors affecting pinheading during S. latifolia cultivation.
International Journal of Computer Science & Network Security
/
v.22
no.8
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pp.105-112
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2022
Innovation is considered as an implemented innovation in education - in the content, methods, techniques and forms of educational activity and personality education (methods, technologies), in the content and forms of organizing the management of the educational system, as well as in the organizational structure of educational institutions, in the means of training and education and in approaches to social services in education, distance and multimedia learning, which significantly increases the quality, efficiency and effectiveness of the educational process. The classification of currently known pedagogical technologies that are most often used in practice is shown. The basis of the innovative activity of a modern teacher is the formation of an innovative program-methodical complex in the discipline. Along with programmatic and content provision of disciplines, the use of informational tools and their didactic properties comes first. It combines technical capabilities - computer and video technology with live communication between the lecturer and the audience. In pedagogical innovation, the principles reflecting specific laws and regularities of the implementation of innovative processes are singled out. All principles are elements of a complex system of organization and management of innovative activities in the field of education and training. They closely interact with each other, which enhances the effect of each of them due to the synergistic effect. To improve innovative activities in the training of students, today computer technologies are widely used in pedagogy as a science, as well as directly in the practice of the pedagogical process. They have gained the most popularity in such activities as distance learning, online learning, assistance in the education management system, development of programs and virtual textbooks in various subjects, searching for information on the network for the educational process, computer testing of students' knowledge, creation of electronic libraries, formation of a unified scientific electronic environment, publication of virtual magazines and newspapers on pedagogical topics, teleconferences, expansion of international cooperation in the field of Internet education. The article considers computer technologies as the main building material for the entire society. In the modern world, there is a need to prepare a person for life in a multimedia environment. This process should be started as early as possible, because the child's contact with the media is present almost from the moment of his birth.
The Journal of the Institute of Internet, Broadcasting and Communication
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v.23
no.2
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pp.37-50
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2023
This study aimed to examine the influence of a weight loss reality show watching on viewers' psychology and viewing effects by explicitly focusing on the Chinese TV show, Wow! Nice Figure (2019). Chinese women who had experience viewing Chinese TV show, Wow! Nice Figure and an experience of weight loss were the subject of the current study. The data collected from a total of 201 Chinese women were examined. Six variables; age, monthly income, occupation, education, BMI(Body Mass Index), and weight loss experience were included as control variables, and the data were analyzed with the use of SPSS 20.0. The results revealed that both simple and social viewing had been found to impact viewers' psychological attitudes positively. However, it was supported that simple and social viewing does not directly affect viewing satisfaction. Furthermore, the mediated effect of psychological variables within the relationship between simple viewing and viewing satisfaction and the relationship between social viewing and viewing satisfaction was investigated. From this study's results, the enhanced understanding of the impact of simple viewing, social viewing, and viewer's psychology on viewing satisfaction could be discussed.
The Journal of the Institute of Internet, Broadcasting and Communication
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v.23
no.2
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pp.175-183
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2023
In a broadcasting market environment that has a close interdependence between platform operators and content operators, problems such as conflicts over program usage fees, and home shopping transmission fees are intensifying. This study attempted to analyze the environment of the domestic broadcasting market and present implications, analyze the cause of user fee conflict between the platform and PP, and propose detailed alternatives to resolve user fee conflict disputes. The results of environmental analysis on the domestic broadcasting market are as follows. First, the growth engine of the broadcasting industry has changed to direct resources such as service usage fees and content fees, and commerce is increasing. Second, as hegemony in the domestic broadcasting market changes from terrestrial to paid broadcasting and OTT, monopolies in the entire broadcasting area are being dismantled by voluntary entry. Third, the need to overhaul the existing regulatory system is increasing due to the dismantling and reorganization of the existing broadcasting market. On the other hand, this study proposed a strategy to diversify the profit structure of PP, supply program after pre-contracting, and strengthen CPS bargaining power in order to resolve disputes between paid broadcasting platforms and PP sharply. In particular, as strategies to strengthen CPS bargaining power of small and medium-sized SOs, it proposed to jointly improve CPS-related systems through IPTV and individual SOs, to redefine fees for programs and to voluntarily use programs.
Journal of Korean Home Economics Education Association
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v.34
no.4
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pp.77-92
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2022
Recently, digital transformation in the financial industry has been accelerated, and it has become an important task to improve the level of utilization of Internet banking by elderly consumers, who are vulnerable to Internet use. Accordingly, this study analyzed 3,101 respondents in their 60s or older from the 11th year of the Media Panel Survey to identify demographic, experiential, and psychological factors that affect the self-efficacy of elderly consumers' usage of Internet banking. The main research findings are as follows. First, gender, education, occupation, and income were identified as demographic variables. Second, the Internet shopping experience was identified as an experiential factor. Also, concerns about information security, digital literacy, and high will for problem-solving were identified as psychological factors. Third, as a result of the moderating effect analysis on whether the experiential and psychological factors have different influences according to the group divided into the 60s and 70s, the effect on self-efficacy in the usage of the Internet was classified by age. The results of this study will be able to enrich the discussions related to the intention to utilize technology among elderly consumers by empirically revealing that there are characteristics that cause differences in financial behavior even within one group called the elderly.
Journal of Korea Entertainment Industry Association
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v.13
no.4
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pp.131-138
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2019
The film enters the color film from black and white, and the screen image changes qualitatively. The color in the film not only has the reproduction function of the restoration object like the objective appearance, but also has the function of conveying different subjective emotions. It can express the color and can't express it. The artistic effect conveys the information content that the story itself can't convey, so the color of the film becomes an important part of the film language. The color in the film is presented on the screen in the form of single-screen color, scene color, full-color color tone, and various color chains designed according to different contradictions and conflicts. Because the film art and art means are assembled by montage, he colors in the picture also form a montage form. People call it "color montage". People's subjective nature of color criticism and acceptance of color language also depend on various local tones. The accurate expression of the relationship, the unique attribute of color determines that the color must enter the structural state in order to express its unique charm. The color of the film only has the real aesthetic value when it enters the level of "color structure". This paper studies the color of Chinese and Western films from the differences between the color thinking of Chinese and Western film directors and the cultural implication of Chinese and Western film colors. The western film director emphasizes the structure of color and pays attention to the use of tonal montage to convey the characters. Emotions reflect the characteristics of a subjective color. Beginning with the "fifth-generation" director of Chinese film, the new journey of film color language has been opened. In the process of blending love and scenery, the film style of "image-in-one" has been achieved.
Unstandardized medical data collection and management are still being conducted manually, and studies are being conducted to classify CT data using deep learning to solve this problem. However, most studies are developing models based only on the axial plane, which is a basic CT slice. Because CT images depict only human structures unlike general images, reconstructing CT scans alone can provide richer physical features. This study seeks to find ways to achieve higher performance through various methods of converting CT scan to 2D as well as axial planes. The training used 1042 CT scans from five body parts and collected 179 test sets and 448 with external datasets for model evaluation. To develop a deep learning model, we used InceptionResNetV2 pre-trained with ImageNet as a backbone and re-trained the entire layer of the model. As a result of the experiment, the reconstruction data model achieved 99.33% in body part classification, 1.12% higher than the axial model, and the axial model was higher only in brain and neck in contrast classification. In conclusion, it was possible to achieve more accurate performance when learning with data that shows better anatomical features than when trained with axial slice alone.
The Journal of the Convergence on Culture Technology
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v.9
no.1
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pp.635-648
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2023
In the current situation of social distancing due to COVID-19, the use of one-person hair salons, which are safer than franchise hair salons, is emerging again. One-man hair salons provide personalized services at high prices, so they can be said to be an industry that required high quality services than franchise hair salons. Despite these characteristics, many studies on hair salon services are focused on franchise hair salons. Therefore, this study was conducted through empirical analysis with the purpose of finding out how the service quality of a one-man hair salon, which required high service quality, affects behavioral intention through the coexistence of customer satisfaction and dissatisfaction. As a result of this study, it was found that the pleasure of consumers in one-person hair salons increases the intention to revisit the most. Those pleasure showed that it is more important to respond and empathize with consumers as well as its expertise of hair designers than the appearance of beauty salons. Through this study, the characteristics of a one-man hair salon were examined and significant results were found.
Compared to the continuously increasing dog population and industry size in Korea, systematic analysis of related data and research on breed classification methods are very insufficient. In this paper, an automatic breed classification method is proposed using deep learning technology for 14 major dog breeds domestically raised. To do this, dog images are collected for deep learning training and a dataset is built, and a breed classification algorithm is created by performing transfer learning based on VGG-16 and Resnet-34 as backbone networks. In order to check the transfer learning effect of the two models on dog images, we compared the use of pre-trained weights and the experiment of updating the weights. When fine tuning was performed based on VGG-16 backbone network, in the final model, the accuracy of Top 1 was about 89% and that of Top 3 was about 94%, respectively. The domestic dog breed classification method and data construction proposed in this paper have the potential to be used for various application purposes, such as classification of abandoned and lost dog breeds in animal protection centers or utilization in pet-feed industry.
Image deblurring aims to remove image blur, which can be generated while shooting the pictures by the movement of objects, camera shake, blurring of focus, and so forth. With the rise in popularity of smartphones, it is common to carry portable digital cameras daily, so image deblurring techniques have become more significant recently. Originally, image deblurring techniques have been studied using traditional optimization techniques. Then with the recent attention on deep learning, deblurring methods based on convolutional neural networks have been actively proposed. However, most of them have been developed while focusing on better performance. Therefore, it is not easy to use in real situations due to the speed of their algorithms. To tackle this problem, we propose a novel deep learning-based deblurring algorithm that can be operated in real-time on HD resolution. In addition, we improved the training and inference process and could increase the performance of our model without any significant effect on the speed and the speed without any significant effect on the performance. As a result, our algorithm achieves real-time performance by processing 33.74 frames per second at 1280×720 resolution. Furthermore, it shows excellent performance compared to its speed with a PSNR of 29.78 and SSIM of 0.9287 with the GoPro dataset.
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