• The Research Journal of the Costume Culture
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• v.30 no.1
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• pp.66-87
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• 2022

This study explores the possibility of creating new experimental hanbok designs by accommodating the latest world fashion trends and the changing needs of consumers, in order to attempt to overcome the limitations of traditional Korean fashion design. To do so, We analyze works by contemporary Korean fashion designers to investigate current developments in Korean fashion design and to identify areas of improvement within hanbok design. The results show that most contemporary hanbok designs repeat stereotypes of traditional hanbok with minor modifications. So there arises a need to create new hanbok designs that are clearly distinct from traditional hanbok but also maintain its core features. To develop such designs, I apply the techniques of deconstruction fashion, which allow making experiments with form, composition, and materials use to realize new aesthetics. The use of CLO 3D fashion design software also proves to be very efficient for developing experimental designs. The study results make meaningful contributions to the development of virtual clothing and 3D fashion for hanbok, particularly as metaBUS, a cloud-based research synthesis platform, is rapidly gaining ground, and reality and virtual reality are increasingly mixed in everyday life. This attempt at 3D design of hanbok is expected to trigger more creative experimentation in hanbok design.

• Journal of the Korean Society of Physical Medicine
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• v.17 no.4
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• pp.75-83
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• 2022

PURPOSE: This study was conducted to find out the effects of neurocognitive rehabilitation therapy on the swallowing function and quality of life of stroke patients. METHODS: Thirty patients were selected and randomly allocated into an experimental and a control group. Patients in the experimental group received 15 minutes of neurocognitive rehabilitation treatment combined with 15 minutes of traditional treatment. For the control group, patients received 30 minutes of traditional dysphasia treatment. The experiments were conducted for 30 minutes a day, five times a week, for four weeks. New VFSS and SWAL-QOL were administrated to evaluate the outcomes. RESULTS: Swallowing functions were significantly improved in the experimental group and the control group (p < .05), but there was no statistically significant difference in pre- and post-interventional swallowing between the groups (p > .05). The quality of life was also significantly improved (p < .05) for both groups, but there was a statistically significant difference between the two groups (p > .05). Third, a correlational analysis between swallowing function and quality of life revealed a moderate correlation between New VFSS and SWAL-QOL (p < .05). CONCLUSION: The results of this study suggest that swallowing therapy through neurocognitive rehabilitation treatment program could be helpful for improving swallowing function and quality of life in stroke patients. Although there was no statistically significant changes from traditional rehabilitation therapy, training in recognizing the senses in the oral cavity and external environment through neurocognitive rehabilitation therapy can be applied as one of the treatment options.

• Journal of English Language & Literature
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• v.55 no.1
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• pp.83-105
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• 2009

Modern poetry begins as criticism of modernity and, by so doing, rejects its idea of time. Modernity emphasizes sequential, linear, and irreversible time and progress. Williams rejects the modern view of time, and attempts to substitute literature for history assuming that literature can take us into the immediacy of time. His poetry asserts the true moment of experience as an immediacy, of words co-existent with things. He suggests that modernity and its idea of time already led to World War I and could clearly lead to an actual, manmade apocalypse with continued technological progress. Already in the 1920s, Williams sensed that he was living in a world where such an end could come all true, which is why Spring and All, his greatest early achievement, begins with a parody of the modern apocalypse. Throughout the work, Williams criticizes "crude symbolism" and expresses his longing to annihilate "strained associations," for he believes that the metaphoric or symbolic association is related to order, the center, and the traditional concept of time itself. The metonymic model of Spring and All substitutes a self-reflexive, open-ended, and indeterminate structure of time for the linear and closed one. Instead of supplying an end, Williams only asserts the rebirth of time and attempts to arrive at immediacy while attacking the mediacy of traditional art. His characteristic use of fragmentation and abrupt juxtapositions disrupts the reader's generic, conceptual, syntactic, and grammatical expectations. His radical poetic experiments, such as the isolation of words and the disruption of syntax, produce a sense of immediacy and force the reader to confront the presence of the poem. His destruction of traditional forms, of the tyrannous designs of history and time, opens up rather than closes the possibility of signification, and takes us into a moment of beginning while disallowing temporal distancing. Spring and All, as a criticism of the modern idea of time, asks us to view Williams's work not as an ahistorical text but as a cultural subversion of modernity.

• Asia Marketing Journal
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• v.15 no.2
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• pp.29-47
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• 2013

Distribution channel decisions involve long-term commitments with other firms that are very difficult to change or replace. In particular, marketing channel decisions in emerging markets are much more complicated due to unfamiliar conditions and problems such as lack of market data and distribution systems. Therefore, when a company considers changing or introducing a marketing channel in an area, it is much more difficult to judge its effectiveness in an emerging market than in a developed market. In this study, we investigate the development process of a new direct marketing channel of Hongfu Fertilizer Company (hereafter Hongfu), a medium-sized Chinese fertilizer manufacturer, and propose an approach to test the feasibility of this new marketing channel in the Chinese rural market. We measure the effectiveness of Hongfu's new marketing channel from two perspectives: i) from customers' perspective through direct responses of farmers, which showed that a new channel can increase the convenience and lower the purchasing costs for the farmers, and ii) from the company's perspective, by calculating the incremental profit of the company using the expansion factor (T/Q) method, which suggested that the execution of Hongfu's strategy to expand a new marketing channel will result in an increase in profits. The results of this study contribute to the development of a methodology to test the feasibility of a new direct marketing channel in the emerging markets such as the Chinese rural market. Traditional and indirect distribution channels in emerging markets are generally not very efficient and difficult to change. Especially, in emerging markets, like the Chinese rural market, the methods of testing channel feasibility must be different from that of developed markets. Considering market situations, market experiments can be more effective then systematic market surveys in testing channel feasibility in emerging markets. This study implies that managers must learn to cope with a transition from the traditional marketing channels in emerging markets. With the development in farmers' understanding of marketing concept, the transition from traditional marketing channel is unavoidable for all firms. Farmers in China are generally very conservative, however, their buying behaviors are changing. Therefore, fertilizer companies should try to adjust in accordance with farmers' demand characteristics that the efforts to meet the economic needs of farmers with new marketing channels as well as trust building are critical in the near future.

• Computers and Concrete
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• v.33 no.4
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• pp.341-348
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• 2024

Ultra-high-performance concrete (UHPC) has received remarkable attentions in civil infrastructure due to its unique mechanical characteristics and durability. UHPC gains increasingly dominant in essential structural elements, while its unique properties pose challenges for traditional inspection methods, as damage may not always manifest visibly on the surface. As such, the need for robust inspection techniques for detecting cracks in UHPC members has become imperative as traditional methods often fall short in providing comprehensive and timely evaluations. In the era of artificial intelligence, computer vision has gained considerable interest as a powerful tool to enhance infrastructure condition assessment with image and video data collected from sensors, cameras, and unmanned aerial vehicles. This paper presents a computer vision-based approach employing deep learning to detect cracks in UHPC beams, with the aim of addressing the inherent limitations of traditional inspection methods. This work leverages computer vision to discern intricate patterns and anomalies. Particularly, a convolutional neural network architecture employing transfer learning is adopted to identify the presence of cracks in the beams. The proposed approach is evaluated with image data collected from full-scale experiments conducted on UHPC beams subjected to flexural and shear loadings. The results of this study indicate the applicability of computer vision and deep learning as intelligent methods to detect major and minor cracks and recognize various damage mechanisms in UHPC members with better efficiency compared to conventional monitoring methods. Findings from this work pave the way for the development of autonomous infrastructure health monitoring and condition assessment, ensuring early detection in response to evolving structural challenges. By leveraging computer vision, this paper contributes to usher in a new era of effectiveness in autonomous crack detection, enhancing the resilience and sustainability of UHPC civil infrastructure.

• The Korea Journal of Herbology
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• v.39 no.2
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• pp.11-18
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• 2024

Objectives : High blood pressure (also called Hypertension), which is the blood pressure that is higher than normal, is a chronic disease and causes various complications. Historically, Traditional Herbal Prescriptions (THP) have treated many diseases. However, there are not many studies on the treatment of hypertension with THP, very few studies have investigated the interactions between the co-administration of synthetic anti-hypertensives and THP. Therefore, the objective of the present study was to investigate the vasorelaxant activities of 10 THP in rat thoracic aortas pre-contracted with potassium chloride (KCl). Methods : An electric extractor was used to extract THP in distilled water for 2h. Rat thoracic aortas were isolated and pre-contracted using KCl in organ chambers containing 10 ml Krebs Henseleit (KH) buffer. THP extracts were added in increasing concentrations (10-1000 ㎍/mL) to investigate vasorelaxant activities. The vasorelaxant activities induced by THP were expressed as a percentage in response to contraction generated by KCl. Results : Among the 10 THP, Dangguisu-san, Mahwang-tang, Bulwhangeumjeonggi-san, Jakyakgamcho-tang, and Hyangsapyeongwi-san showed significant vasorelaxant activities. Maekmundong-tang, Bojungikgi-tang, Samryeongbaekchul-san, Yukmijihwang-tang, and Insampaedok-san showed no significant effect. Also, in co-administration with amlodipine, Mahwang-tang showed higher vasorelaxant activities than amlodipine alone, and Hyangsapyeongwi-san showed greater vasorelaxant activities at low concentrations but inhibited amlodipine's vasorelaxant activities at high concentrations. Conclusion : The results of these experiments are expected to provide useful data to establish guidelines for THPs and co-administration with western antihypertensive drugs to treat hypertension.

• Journal of Intelligence and Information Systems
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• v.18 no.4
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• pp.43-57
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• 2012

To enhance the competitive advantage in a constantly changing business environment, an enterprise management must make the right decision in many business activities based on both internal and external information. Thus, providing accurate information plays a prominent role in management's decision making. Intuitively, historical data can provide a feasible estimate through the forecasting models. Therefore, if the service department can estimate the service quantity for the next period, the service department can then effectively control the inventory of service related resources such as human, parts, and other facilities. In addition, the production department can make load map for improving its product quality. Therefore, obtaining an accurate service forecast most likely appears to be critical to manufacturing companies. Numerous investigations addressing this problem have generally employed statistical methods, such as regression or autoregressive and moving average simulation. However, these methods are only efficient for data with are seasonal or cyclical. If the data are influenced by the special characteristics of product, they are not feasible. In our research, we propose a forecasting framework that predicts service demand of manufacturing organization by combining Case-based reasoning (CBR) and leveraging an unsupervised artificial neural network based clustering analysis (i.e., Self-Organizing Maps; SOM). We believe that this is one of the first attempts at applying unsupervised artificial neural network-based machine-learning techniques in the service forecasting domain. Our proposed approach has several appealing features : (1) We applied CBR and SOM in a new forecasting domain such as service demand forecasting. (2) We proposed our combined approach between CBR and SOM in order to overcome limitations of traditional statistical forecasting methods and We have developed a service forecasting tool based on the proposed approach using an unsupervised artificial neural network and Case-based reasoning. In this research, we conducted an empirical study on a real digital TV manufacturer (i.e., Company A). In addition, we have empirically evaluated the proposed approach and tool using real sales and service related data from digital TV manufacturer. In our empirical experiments, we intend to explore the performance of our proposed service forecasting framework when compared to the performances predicted by other two service forecasting methods; one is traditional CBR based forecasting model and the other is the existing service forecasting model used by Company A. We ran each service forecasting 144 times; each time, input data were randomly sampled for each service forecasting framework. To evaluate accuracy of forecasting results, we used Mean Absolute Percentage Error (MAPE) as primary performance measure in our experiments. We conducted one-way ANOVA test with the 144 measurements of MAPE for three different service forecasting approaches. For example, the F-ratio of MAPE for three different service forecasting approaches is 67.25 and the p-value is 0.000. This means that the difference between the MAPE of the three different service forecasting approaches is significant at the level of 0.000. Since there is a significant difference among the different service forecasting approaches, we conducted Tukey's HSD post hoc test to determine exactly which means of MAPE are significantly different from which other ones. In terms of MAPE, Tukey's HSD post hoc test grouped the three different service forecasting approaches into three different subsets in the following order: our proposed approach > traditional CBR-based service forecasting approach > the existing forecasting approach used by Company A. Consequently, our empirical experiments show that our proposed approach outperformed the traditional CBR based forecasting model and the existing service forecasting model used by Company A. The rest of this paper is organized as follows. Section 2 provides some research background information such as summary of CBR and SOM. Section 3 presents a hybrid service forecasting framework based on Case-based Reasoning and Self-Organizing Maps, while the empirical evaluation results are summarized in Section 4. Conclusion and future research directions are finally discussed in Section 5.

• Journal of the Korean Chemical Society
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• v.62 no.2
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• pp.124-136
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• 2018

In this study, we applied the flipped-classroom to the general chemistry experiment lecture of the domestic university with strong teacher-led, and explored the effects and possibilities of the course. For this purpose, 30 students who were enrolled in the Science Education Department of the College of Education in the metropolitan area were randomly assigned to two groups, namely, the flipped-classroom group and the traditional class group. Then, we developed a general chemistry experiment lessons based on the flipped-classroom along with visual materials and we applied the lessons for 15 weeks. After all the classes, we conducted a survey to see the students' perception of the general chemistry experiment lecture by flipped classroom. As a result of analysis, the students of the flipped-classroom group were more positive than the students of the traditional class group in terms of the usefulness of the class activity, the importance of each activity element for the successful learning, the learning level, and the intention for another lesson. As a result of analyzing students' perceptions in terms of general chemical experiment activities such as conducting experiments or writing reports and understanding the contents of experiments, the average score of the flippedclassroom group was higher than the traditional class group, and the main cause of this result was the video material provided by prior learning activities. In addition, as a result of analyzing students' perceptions in terms of interactions and self-directed learning in class, the average score of the flipped-classroom group was generally higher than the traditional class group. In particular, students' interactions and self-directed learning were statistically significant differences between the two groups. And the students' perception of video material was very positive, and it was analyzed that the video that the instructor directly explained experiment theory and method was the most favorite videos of students. We discussed educational implications of these findings.

• The Journal of the Korea Contents Association
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• v.10 no.6
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• pp.286-296
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• 2010

The study of the development of DJ robots is to meet the demands of the music services which are changing very rapidly in the digital and network era. Existing studies, as a whole, develop music services on the premise of personalized environment and equipment, but the DJ robot is on the premise of the open space shared by the public. DJ robot gives priority to traditional space and music. Recently as the hospitality and demand for cultural contents of South Korea expand to worldwide, industrial use of the contents based on traditional or our unique characteristics is getting more and more. Meanwhile, the DJ robot is composed of a combination of two modules. One is to detect changes in the external environment and the other is to set the properties of the music by psychology, emotional engineering, etc. DJ robot detect the footprint of the temperature, humidity, illumination, wind, noise and other environmental factors measured, and will ensure the objectivity of the music source by repeated experiments and verification with human sensibility ergonomics based on Hevner Adjective Circle. DJ robot will change the soundscape of the traditional space being more beautiful and make the revival and prosperity of traditional music with the use of traditional music through BGM.

• Journal of Ginseng Research
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• v.43 no.3
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• pp.377-384
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• 2019

Background: Inflammation is widespread in the clinical pathology and closely associated to the progress of many diseases. Triterpenoid saponins as a key group of active ingredients in Panax notoginseng (Burk.) F.H. Chen were demonstrated to show antiinflammatory effects. However, the chemical structures of saponins in the leaves and stems of Panax notoginseng (PNLS) are still not fully clear. Herein, the isolation, purification and further evaluation of the antiinflammatory activity of dammarane-type triterpenoid saponins from PNLS were conducted. Methods: Silica gel and reversed-phase C8 column chromatography were used. Furthermore, preparative HPLC was used as a final purification technique to obtain minor saponins with high purities. MS, NMR experiments, and chemical methods were used in the structural identifications. The antiinflammatory activities of the isolated saponins were assessed by measuring the nitric oxide production in RAW 264.7 cells stimulated by lipopolysaccharides. Real-time reverse transcription polymerase chain reaction was used to measure the gene expressions of inflammation-related gene. Results: Eight new minor dammarane-type triterpene oligoglycosides, namely notoginsenosides LK1-LK8 (1-8) were obtained from PNLS, along with seven known ones. Among the isolated saponins, gypenoside IX significantly suppressed the nitric oxide production and inflammatory cytokines including tumor necrosis $factor-{\alpha}$, interleukin 10, interferon-inducible protein 10 and $interleukin-1{\beta}$. Conclusion: The eight saponins may enrich and expand the chemical library of saponins in Panax genus. Moreover, it is reported for the first time that gypenoside IX showed moderate antiinflammatory activity.