• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.5
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• pp.7-14
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• 2021

Tomato crops are highly affected by tomato diseases, and if not prevented, a disease can cause severe losses for the agricultural economy. Therefore, there is a need for a system that quickly and accurately diagnoses various tomato diseases. In this paper, we propose a system that classifies nine diseases as well as healthy tomato plants by applying various pretrained deep learning-based CNN models trained on an ImageNet dataset. The tomato leaf image dataset obtained from PlantVillage is provided as input to ResNet, Xception, and DenseNet, which have deep learning-based CNN architectures. The proposed models were constructed by adding a top-level classifier to the basic CNN model, and they were trained by applying a 5-fold cross-validation strategy. All three of the proposed models were trained in two stages: transfer learning (which freezes the layers of the basic CNN model and then trains only the top-level classifiers), and fine-tuned learning (which sets the learning rate to a very small number and trains after unfreezing basic CNN layers). SGD, RMSprop, and Adam were applied as optimization algorithms. The experimental results show that the DenseNet CNN model to which the RMSprop algorithm was applied output the best results, with 98.63% accuracy.

• Korean Journal of Agricultural and Forest Meteorology
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• v.14 no.3
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• pp.132-141
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• 2012

Climate change impact assessment of cereal crop production in South Korea was performed using land attributes and daily weather data at a farm scale as inputs to crop models. Farmlands in South Korea were grouped into 68 crop-simulation zone units (CZU) based on major mountains and rivers as well as existing land use information. Daily weather data at a 1-km grid spacing under the A1B- and RCP8.5 scenarios were generated stochastically to obtain decadal mean of daily data. These data were registered to the farmland grid cells and spatially averaged to represent climate conditions in each CZU. Monthly climate data for each decade in 2001~2100 were transformed to 30 sets of daily weather data for each CZU by using a stochastic weather generator. Soil data and crop management information for 68 CZU were used as inputs to the CERES-rice, CERE-barley and CROPGRO-soybean models calibrated to represent the genetic features of major domestic cultivars in South Korea. Results from the models suggested that the heading or flowering of rice, winter barley and soybean could be accelerated in the future. The grain-fill period of winter barley could be extended, resulting in much higher yield of winter barley in most CZUs than that of rice. Among the three major cereal grain crops in Korea, rice seems most vulnerable to negative impact of climate change, while little impact of climate change is expected on soybeans. Because a positive effect of climate change is projected for winter barley, policy in agricultural production should pay more attention to facilitate winter barley production as an adaptation strategy for the national food security.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.12 no.3
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• pp.87-105
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• 2017

This study investigates the effect of entrepreneurship on corporate performance highlighting the mediating role of technological innovation and the moderating role of marketing competence. By identifying the role of technological innovation and marketing competence within the relationship between the entrepreneurship and corporate's business performance, this study aims to improve SMBs' competence. Special attention was given to the fact that while there are some technology-based SMBs which have achieved positive outcomes through innovation, there are some other firms which have not been able to deliver expected outcomes despite of their technological competence. The data used in this study came from CEO or chief research executives of SMBs. Results of the data analysis show that the innovative sprit which is an important factor of entrepreneurship has an positive effect on technological performance, financial performance and non-financial performance. However, risk- taking tendency has an positive effect on technological performance but negative effects on financial and non- financial performance of the firms. This study also has examined the mediating effect of technological innovation on the relationship between entrepreneurship and corporate's performance and the result reveals that technological innovation plays a mediating role within the relationship. Specially, innovative spirit plays a full mediating role within the relationship between technological commercialization capacity and financial and non-financial performances of SMEs'. Also, risk taking tendency has a full mediating effect on the positive relationship between strategic planning capability and both financial and non-financial performance. Regarding the moderating role of marketing capability within the relationship between the entrepreneurship and the performance of the firms, results of data analysis shows as follows. Marketing professional capability plays a moderating role between risk taking tendency and performance of the firm and marketing structural capability plays a moderating role between innovative spirit and the performance of the firms. Based on these results, this study confirms that SMEs' business performance is effected by entrepreneurship. Innovative spirit plays a mediating role within the relationship entrepreneurship and business performance. However, Marketing capability has a partial moderating effect on the relationship between the entrepreneurship and the business performance.

• Journal of the Korean Society of Clothing and Textiles
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• v.31 no.6 s.165
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• pp.985-996
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• 2007

The purpose of this study is to analyze the symbolism of traditional Korean patterns which reflect an emotional cultural background of Korean people, to apply modernized and developed patterns to Textile Design for fashion cultural products, and to explore productive direction of developing designs of fashion cultural products. The process of developing Textile Design of fashion cultural products which applied symbolism of traditional Korean patterns was conducted as follows. Firstly, based on '05 S/S-'07 S/S fashion trends, a design concept wat decided(man-urban ethnic style, woman-romantic ethnic style). Secondly, motive was abstracted from selected traditional patterns to develop into modem patterns. Thirdly, items were selected according to symbolic meaning of traditional Korean patterns. Man's items included shirts, necktie, and handkerchief which were highly preferred by Korean and foreign visitors. Finally, developed textile designs were diagrammed by item using textile CAD and an illustrator 10 and presented as images. The following results were obtained. First, textile designs for fashion cultural products, in which apply traditional patterns may reflect the understanding of traditional aesthetic beauty and philosophical approach by applying symbolic significance inherent in patterns as well as the aesthetics of the patterns. Second, traditional patterns have been recognized as old fashioned to consumers because they have been often used for traditional handicrafts or folk products. If their unique shapes are changed or simplified, emphasizing images, and trend styles and colors are used, they will be recreated as a modem design. Third, textile designs using traditional patterns may provide various images and visual effects according to techniques and production methods. Then, the method will be applied to many items. Finally, since traditional patterns in fashion cultural products can be used as our unique design elements, they can be utilized as the source of design inspiration for the development of value-added products.

• Fire Science and Engineering
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• v.31 no.4
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• pp.95-102
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• 2017

The fires in the traditional markets often occur recently with the most of them expanded into great fires so that the damage is very serious. The status of traditional markets handling the distribution for ordinary people is greatly shrunk with the aggressive marketing of the local large companies and the foreign large distribution companies after the overall opening of the local distribution market. Most of the traditional markets have the history and tradition from decades to centuries and have grown steadily with the joys and sorrows of ordinary people and the development of the local economy. The fire developing to the large fire has the characteristics of the problem that the fire possibility is high since all products can be flammable due to the deterioration of facilities, the arbitrary modification of equipment, and the crowding of the goods for sale. Furthermore, most of the stores are petty with their small sizes so that the passage is narrow affecting the passage of pedestrians. Accordingly, the traditional markets are vulnerable to fire due to the initial unplanned structural problem so that the large scale fire damage occurs. The study is concerned with systematically classifying and analyzing the result by applying the TRIZ tool to the fire risk factors to extract the fundamental problem with the fire of the traditional market and make the active response. The study was done for preventing the fire on the basis of it and the expansion to the large fire in case of fire to prepare the specific measure to minimize the fire damage. On the basis of the fire expansion risk factor of the derived traditional market, the study presented the passive measures such as the improvement of the fire resisting capacity, the fire safety island, etc. and the active and institutional measures such as the obligation of the fire breaking news facilities, the application of the extra-high pressure pump system, the divided use of the electric line, etc.

• Journal of Intelligence and Information Systems
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• v.24 no.2
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• pp.125-148
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• 2018

Recently, as the demand for big data analysis increases, cases of analyzing unstructured data and using the results are also increasing. Among the various types of unstructured data, text is used as a means of communicating information in almost all fields. In addition, many analysts are interested in the amount of data is very large and relatively easy to collect compared to other unstructured and structured data. Among the various text analysis applications, document classification which classifies documents into predetermined categories, topic modeling which extracts major topics from a large number of documents, sentimental analysis or opinion mining that identifies emotions or opinions contained in texts, and Text Summarization which summarize the main contents from one document or several documents have been actively studied. Especially, the text summarization technique is actively applied in the business through the news summary service, the privacy policy summary service, ect. In addition, much research has been done in academia in accordance with the extraction approach which provides the main elements of the document selectively and the abstraction approach which extracts the elements of the document and composes new sentences by combining them. However, the technique of evaluating the quality of automatically summarized documents has not made much progress compared to the technique of automatic text summarization. Most of existing studies dealing with the quality evaluation of summarization were carried out manual summarization of document, using them as reference documents, and measuring the similarity between the automatic summary and reference document. Specifically, automatic summarization is performed through various techniques from full text, and comparison with reference document, which is an ideal summary document, is performed for measuring the quality of automatic summarization. Reference documents are provided in two major ways, the most common way is manual summarization, in which a person creates an ideal summary by hand. Since this method requires human intervention in the process of preparing the summary, it takes a lot of time and cost to write the summary, and there is a limitation that the evaluation result may be different depending on the subject of the summarizer. Therefore, in order to overcome these limitations, attempts have been made to measure the quality of summary documents without human intervention. On the other hand, as a representative attempt to overcome these limitations, a method has been recently devised to reduce the size of the full text and to measure the similarity of the reduced full text and the automatic summary. In this method, the more frequent term in the full text appears in the summary, the better the quality of the summary. However, since summarization essentially means minimizing a lot of content while minimizing content omissions, it is unreasonable to say that a "good summary" based on only frequency always means a "good summary" in its essential meaning. In order to overcome the limitations of this previous study of summarization evaluation, this study proposes an automatic quality evaluation for text summarization method based on the essential meaning of summarization. Specifically, the concept of succinctness is defined as an element indicating how few duplicated contents among the sentences of the summary, and completeness is defined as an element that indicating how few of the contents are not included in the summary. In this paper, we propose a method for automatic quality evaluation of text summarization based on the concepts of succinctness and completeness. In order to evaluate the practical applicability of the proposed methodology, 29,671 sentences were extracted from TripAdvisor 's hotel reviews, summarized the reviews by each hotel and presented the results of the experiments conducted on evaluation of the quality of summaries in accordance to the proposed methodology. It also provides a way to integrate the completeness and succinctness in the trade-off relationship into the F-Score, and propose a method to perform the optimal summarization by changing the threshold of the sentence similarity.