• Asian Pacific Journal of Cancer Prevention
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• v.15 no.1
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• pp.331-334
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• 2014

There is a scarcity of reports addressing patients with multiple primary malignancies (MPM), especially for Chinese cses. The aim of this study was to present a detailed analysis of Chinese patients presenting with at least two primary malignancies. Particularly, the clinical characteristics and survival between synchronous and metachronous MPM were compared. Out of 6,545 cases, 72 patients (1.1%) including 39 males (54.2%) and 33 females (45.8%) were diagnosed as MPM, giving a male: female sex ratio of 1.2:1. Of these, there were 16 (22.2%) cases of synchronous MPM (7 males, 9 females), 55(76.4%) metachronous (31 males, 24 females), and 1 "mixed form". For first tumor diagnosis time, synchronous MPM patients generally presented later than the metachronous cases. The top three sites for malignancies with metachronous MPM were colorectum, head and neck, and lung, while for synchronous they were lung, colorectum and breast. Among MPM patients, the median survival time was 15.7 years and the 5-year survival was 56%, and there was statistical difference in MPM categories (P < 0.05). The median survival time was 17.3 years and 3.8 years for metachronous and synchronous MPM patients, respectively. In comparison with synchronous MPM patients, those metachronous had a longer survival. This studies increase understanding of the clinical features of Chinese MPM patients and suggest that those presenting with metachronous cancers have a higher incidence and a better prognosis.

• International Journal of Contents
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• v.16 no.2
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• pp.8-18
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• 2020

Data is critical in deep learning but the scarcity of data often occurs in research, especially in the preparation of the paired training data. In this paper, document image binarization with unpaired data is studied by introducing adversarial learning, excluding the need for supervised or labeled datasets. However, the simple extension of the previous unpaired training to binarization inevitably leads to poor performance compared to paired data training. Thus, a new deep learning approach is proposed by introducing a multi-diversity of higher quality generated images. In this paper, a two-stage model is proposed that comprises the generative adversarial network (GAN) followed by the U-net network. In the first stage, the GAN uses the unpaired image data to create paired image data. With the second stage, the generated paired image data are passed through the U-net network for binarization. Thus, the trained U-net becomes the binarization model during the testing. The proposed model has been evaluated over the publicly available DIBCO dataset and it outperforms other techniques on unpaired training data. The paper shows the potential of using unpaired data for binarization, for the first time in the literature, which can be further improved to replace paired data training for binarization in the future.

• The Journal of the Korea institute of electronic communication sciences
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• v.18 no.5
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• pp.885-894
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• 2023

This study investigates and analyzes various marketing models that can overcome the economic challenges and resource scarcity faced by solo entrepreneurs. Previous research primarily focused on the integrated marketing communication (IMC) model, resulting in a lack of comprehensive discussion. In this study, we emphasized the IT content marketing communication model, considering a holistic analysis and the changing roles over time. As a result, we were able to propose a new strategic approach by integrating the ICM community model into a convergent value chain, improving the IMC model and promoting brand growth and online presence enhancement. This has laid the foundation for effectively increasing brand awareness and provided specific guidelines to support the sustained growth of solo entrepreneurship.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.33 no.6
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• pp.1033-1042
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• 2023

This paper proposes a network intrusion detection system that identifies abnormal flows within the network. The majority of datasets commonly used in research lack time-series information, making it challenging to improve detection rates for attacks with fewer instances due to a scarcity of sample data. However, there is insufficient research regarding detection approaches. In this study, we build upon previous research by using the Artificial neural network(ANN) model and a stack ensemble technique in our approach. To address the aforementioned issues, we incorporate temporal information by leveraging adjacent flows and enhance the learning of samples from sparse attacks, thereby improving both the overall detection rate and the detection rate for sparse attacks.

• Journal of the Korea Fashion and Costume Design Association
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• v.16 no.3
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• pp.135-149
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• 2014

Fur clothing as fashion items is expanding into casual & ladies's wear market as well as fur market. The interest of fur fashion is rising. So this study compares and analyzes the merchandising process of textile clothing also it of fur clothing by merchandising steps. Fur clothing has so many change factors at time of purchase by scarcity of raw material, price fluctuation, exchange rate and others. Therefore it is primarily about securing of raw material. As soon as plan of product is finished, the purchase of fur raw material has to be started while progress of design products for commercializing the fur clothing. The design of fur clothing is consist of material design, color design and shape design. And It makes a new trend & market as we are developing new & various treatments. The some of imported materials are transferred to the factory for being treated first dressing, fabric treatments and dyeing processing according to the design. The first treated materials are transferred to the sewing factory again for secondary treatments and finally inspected and shipped. During secondary treatments the fur has gone through various manufacturing process for using like fabric materials and it takes long time because almost work is running manually. Unlike fabric clothing, fur clothing's manufacturing method is complicated and various from material process to shape process as per feature. Therefore the merchandising with fur cannot make mass production also needs detail craftsmanship depending by expert's skills. On this wise the fur clothing takes long time to the completion thus it has been risky and costly.

• Journal of the Korea Fashion and Costume Design Association
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• v.8 no.1
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• pp.59-67
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• 2006

In textile industry of $21^{st}$ century, to develop materials and designs in fashion industry is being recognized widely as an urgent problem. In other words, the reality is that we must offer scarcity value and unique materials, and make a positive effort in a time when consumers' individuality appeals and an interest in fashion becomes higher. Felt is not only the oldest material in human history, but also a technique, and its applications are being handed down broadly. I have made various materials based mainly on a traditional felt technique using merino wool and nuno felt technique felting merino wool to cotton gauze. In nuno felt thing, I could observe that as wool and cotton was created as a single composite material, each material's aesthetic, sensuous, functional and emotional description became much more diversified. The purpose of this study is to produce fashion materials using materials with rich texture to meet the consumers' preference and diversity which are increasingly individualized, to design them and to seek possibility of developing differentiated wool materials which can satisfy the consumers' individuality demand and preference.

• Management & Information Systems Review
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• v.38 no.2
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• pp.29-46
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• 2019

O2O services, a form of mobile commerce, are increasing due to the widespread use of smartphones and the rational consumption trend of young consumers. In addition, the introduction of Social Commerce's O2O service has transformed customer experience into innovation. Therefore, the purpose of this study is to investigate the effect of O2O service characteristics and social commerce provider characteristics on the social commerce 's O2O service as a social psychological image that consumers have at the point of purchase and use time, as a smart shopper feeling and a cheapness shopper feeling. And the relationship between consumer satisfaction and intention to use through Structure Equation Modeling, and to suggest the implications for O2O service management that can provide greater satisfaction to consumers by identifying the process of creating satisfaction of O2O service. The results of the study show that price discounts and scarcity of social commerce's O2O service characteristics have shown that it increases smart shopper feeling. Also, it was confirmed that brand awareness and ease of purchase, which are characteristics of social commerce, confirms the increase of cheapness shopper feeling. We also confirmed the effect of smart shopper feeling and cheapness shopper feeling on satisfaction. This satisfaction has a positive effect on the intention to use. The result of this study is that it is necessary to reduce the cheapness shopper feeling of consumers and to emphasize the price discount and scarcity so that the smart shopper feeling occurs in order to satisfy the consumers who purchase O2O service products.

• Membrane and Water Treatment
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• v.15 no.1
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• pp.21-29
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• 2024

1H,1H,2H,2H-perfluorodecytriethoxysilane (C₁₆H₁₉F₁₇O₃Si) be successfully applied to the hydrophobic modification of Al₂O₃ tubular ceramic membrane. Taking the concentration of modification solution, modification time, and modification temperature as factors, orthogonal experiments were designed to study the hydrophobicity of the composite membranes. The experiments showed that the modification time had the greatest impact on the experimental results, followed by the modification temperature, and the modification solution concentration had the smallest impact. Concentration of the modified solution 0.012 mol·L^-1, modification temperature 30 ℃ and modification time 24 h were considered optimal hydrophobic modification conditions. And the pure water flux reached 274.80 kg·m^-2·h^-1 at 0.1MPa before hydrophobic modification, whereas the modified membrane completely blocked liquid water permeation at pressures less than 0.1MPa. Air gap membrane distillation experiments were conducted for NaCl (2wt%) solution, and the maximum flux reached 4.20 kg·m^-2·h^-1, while the retention rate remained above 99.8%. Given the scarcity of freshwater resources in coastal areas, the article proposed a system for seawater desalination using air conditioning waste heat, and conducted preliminary research on its freshwater production performance using Aspen Plus. Finally, the proposed system achieved a freshwater production capacity of 0.61 kg·m^-2·h^-1.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.17 no.2
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• pp.52-61
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• 2009

In Korea, there is great lack in jet lease agreements compared to many other countries. Due to such scarcity in numbers of jet lease agreements, problems have never truly surfaced and legal foundation dealing with such issues have not yet been formulated. However, as the globalization is making the world smaller and smaller, the demand for jets will grow. As the Korean aviation industry is expanding tremendously, although very preliminary at this time, the interest and actual execution on private jet lease agreements will grow. The prediction of increase in the private jet ownership is causing the lease industry to be nervous and may require particular preparatory foundation works. Particularly, legal analysis and detailed review maybe necessary to set a precedent with will serve as the grounded rule in the future. It is notable that Vietnam, a country which is believed have a less developed aviation industry than Korea, had already established a specialized jet leasing company, VALC in 2007. Also, when leasing an airplane from a foreign financial institution, it is possible to obtain a government issued guarantee. Therefore, it is urgent for Korea to prepare the legal foundation for the future demands in aviation leasing, as well as private jet leases which in turn would promote national wealth and further develop the financial industry.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.4
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• pp.1208-1222
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• 2014

Due to the low utilization and scarcity of frequency spectrum in current spectrum allocation methodology, cognitive radio networks (CRNs) have been proposed as a promising method to solve the problem, of which spectrum sensing is an important technology to utilize the precious spectrum resources. In order to protect the primary user from being interfered, most of the related works focus only on the restriction of the missed detection probability, which may causes over-protection of the primary user. Thus the interference probability is defined and the interference-aware sensing model is introduced in this paper. The interference-aware sensing model takes the spatial conditions into consideration, and can further improve the network performance with good spectrum reuse opportunity. Meanwhile, as so many fading factors affect the spectrum channel, errors are inevitably exist in the reporting channel in cooperative sensing, which is improper to be ignored. Motivated by the above, in this paper, we study the throughput tradeoff for interference-aware cognitive radio networks over imperfect reporting channel. For the cooperative spectrum sensing, the K-out-of-N fusion rule is used. By jointly optimizing the sensing time and the parameter K value, the maximum throughput can be achieved. Theoretical analysis is given to prove the feasibility of the optimization and computer simulations also shows that the maximum throughput can be achieved when the sensing time and the parameter of K value are both optimized.