• Korean Journal of Remote Sensing
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• v.39 no.3
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• pp.269-282
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• 2023

The purpose of this study was to construct land cover maps using a deep learning model and to select the optimal deep learning model for land cover classification by adjusting the dataset such as input image size and Stride application. Two types of deep learning models, the U-net model and the DeeplabV3+ model with an Encoder-Decoder network, were utilized. Also, the combination of the two deep learning models, which is an Ensemble model, was used in this study. The dataset utilized RapidEye satellite images as input images and the label images used Raster images based on the six categories of the land use of Intergovernmental Panel on Climate Change as true value. This study focused on the problem of the quality improvement of the dataset to enhance the accuracy of deep learning model and constructed twelve land cover maps using the combination of three deep learning models (U-net, DeeplabV3+, and Ensemble), two input image sizes (64 × 64 pixel and 256 × 256 pixel), and two Stride application rates (50% and 100%). The evaluation of the accuracy of the label images and the deep learning-based land cover maps showed that the U-net and DeeplabV3+ models had high accuracy, with overall accuracy values of approximately 87.9% and 89.8%, and kappa coefficients of over 72%. In addition, applying the Ensemble and Stride to the deep learning models resulted in a maximum increase of approximately 3% in accuracy and an improvement in the issue of boundary inconsistency, which is a problem associated with Semantic Segmentation based deep learning models.

• Korean Journal of Environmental Agriculture
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• v.24 no.1
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• pp.56-60
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• 2005

In order to increase the storage stability of watermelon stalk, storage environments such as temperature and other treatments such as vaseline, mixture of soybean oil and wheat flour, and coated paper label were tested separately after harvesting. At different storage temperatures (7, 18 and $30^{\circ}C$) shelf-life of stalk was inversely proportional to temperature. The results showed that during storage at $30^{\circ}C$ they were completely wilted in 7 days, at $18^{\circ}C$ in 15 days and at $7^{\circ}C$ in 19 days. Our data also showed that stability of watermelon stalk depending on temperature was very closely correlated with water content of watermelon stalk; during storage at $30^{\circ}C$ the water content of watermelon stalk was decreased to 21.1 % in 7 days, whereas at $7^{\circ}C$ the water content was decreased gradually to 71.2 % for 19 days of storage. In order to reduce the physiological changes in watermelon stalk at $30^{\circ}C$, following treatments such as vaseline, mixture of soybean oil and wheat flour, and coated paper label were tested. As a result, watermelon stalk without any treatment was completely wilted in 9 days, while stalks treated with vaseline and mixture of soybean oil with wheat flour were wilted in 15 and 12 days, respectively. The wilt delay was noted in the watermelon stalk for $3{\sim}6$ days during both treatments but the outward quality was found detracted, whereas when treated with coated paper label, the wilt of stalk was delayed for 3 days along with the improvement in the outward quality. Therefore this data indicate that the treatment of coated paper label during storage at $30^{\circ}C$ can be considered as a potent method for maintaining the physiology of watermelon stalk.

• Journal of the Korea Fashion and Costume Design Association
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• v.14 no.1
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• pp.131-150
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• 2012

The purpose of this study is to provide the characteristics of marketing strategy on the SPA(Specialty store retailor of Private label Apparel) brand. This research can be used as information for the domestic SPA brand to enhance its international competitiveness. The characteristics of marketing strategy on the SPA brand are as follows. 1. One company integrate vertically the process of planning, production, promotion and distribution. 2. As using the advanced information, productions, and logistics systems, they are carried out speedy management. 3. The production strategies are focused on providing new goods of fast cycle and very diverse styles in a season, developing products that accurately reflect the general market trend and consumer demands, extending the line of goods, outsourcing of the place to reduce production costs. For high-quality goods, they are collaborating with the famous designers and developing of new and green environment materials. 4. Generally, the SPA brand emphasizes the low price strategy against the quality. 5. The promotion strategies are focused on conducting various unique and high sensible VMDs, fashion shows, star marketing, campaigns, aggressive publicity, magazine & outdoor advertisement and various events through the internet website, etc. 6. The place (distribution) strategies of SPA brand are focused on launching into global, expanding number of stores, increasing large-sized stores and diversifying the forms of store and selling.

• Journal of Korean Academy of Nursing
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• v.45 no.3
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• pp.459-468
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• 2015

Purpose: The purpose of this study was to investigate the effects of Wheel of Wellness counseling on wellness lifestyle, depression, and health-related quality of life in community dwelling elderly people. Methods: A parallel, randomized controlled, open label, trial was conducted. Ninety-three elderly people in a senior welfare center were randomly assigned to two groups: 1) A Wheel of Wellness counseling intervention group (n=49) and 2) a no-treatment control group (n=44). Wheel of Wellness counseling consisted of structured, individual counseling based on the Wheel of Wellness model and provided once a week for four weeks. Wellness lifestyle, depression, and health-related quality of life were assessed pre-and post-test in both groups. Results: Data from 89 participants were analyzed. For participants in the experimental group, there was a significant improvement on all of the wellness-lifestyle subtasks except realistic beliefs. Perceived wellness and depression significantly improved after the in the experimental group (n=43) compared to the control group (n=46) from pre- to post-test in the areas of sense of control (p =.033), nutrition (p =.017), exercise (p =.039), self-care (p <.001), stress management (p =.017), work (p =.011), perceived wellness (p =.019), and depression (p =.031). One participant in the intervention group discontinued the intervention due to hospitalization and three in the control group discontinued the sessions. Conclusions: Wheel of Wellness counseling was beneficial in enhancing wellness for the community-dwelling elderly people. Research into long-term effects of the intervention and health outcomes is recommended.

• Journal of Computing Science and Engineering
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• v.7 no.2
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• pp.112-121
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• 2013

The last years have seen a rise of interest in using electroencephalography-based brain computer interfacing methodology for investigating non-medical questions, beyond the purpose of communication and control. One of these novel applications is to examine how signal quality is being processed neurally, which is of particular interest for industry, besides providing neuroscientific insights. As for most behavioral experiments in the neurosciences, the assessment of a given stimulus by a subject is required. Based on an EEG study on speech quality of phonemes, we will first discuss the information contained in the neural correlate of this judgement. Typically, this is done by analyzing the data along behavioral responses/labels. However, participants in such complex experiments often guess at the threshold of perception. This leads to labels that are only partly correct, and oftentimes random, which is a problematic scenario for using supervised learning. Therefore, we propose a novel supervised-unsupervised learning scheme, which aims to differentiate true labels from random ones in a data-driven way. We show that this approach provides a more crisp view of the brain states that experimenters are looking for, besides discovering additional brain states to which the classical analysis is blind.

• Journal of the Korean Society of Food Culture
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• v.33 no.4
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• pp.354-362
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• 2018

With increasing interest in the health and safety of food served in restaurants, more emphasis is being placed on the importance of health and food. As a result, Yaksun cuisine with new added effects and image is becoming more popular as a way to improve people's health. This study analyzed the effects of selection attributes relating to Yaksun cuisine on customer satisfaction and intention to maintain relationship in order to understand various needs of consumers as they relate to health food. The results showed that, among selection attributes of Yaksun cuisine, price, safety, and health were found to have significant effects on customer satisfaction; however, the effect of quality on satisfaction was not verified. Moreover, while the effect of safety and health of Yaksun cuisine on the intention to maintain relationship was found to be significant, the effects of quality and price on the intention to maintain relationship were not verified. These findings suggest that consumers believe Yaksun cuisine is more beneficial for health than general food and trust the origin label, hygiene, and safety of ingredients in Yaksun cuisine. Therefore, the results of this study suggests providing opportunities for consumers to experience diverse tastes in Yaksun cuisine and that development and promotion of different recipes using Yaksun ingredients will help reinforce competitiveness of Yaksun cuisine in the market and increase sales.

• Journal of Communications and Networks
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• v.7 no.3
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• pp.377-384
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• 2005

The purpose of this research is to develop and evaluate a traffic engineering architecture that uses local state information. This architecture is applied to an Internet protocol radio access network (RAN) that uses multi-protocol label switching (MPLS) and differentiated services to support mobile hosts. We assume mobility support is provided by a protocol such as the hierarchical mobile Internet protocol. The traffic engineering architecture is router based-meaning that routers on the edges of the network make the decisions onto which paths to place admitted traffic. We propose an algorithm that supports the architecture and uses local network state in order to function. The goal of the architecture is to provide an inexpensive and fast method to reduce network congestion while increasing the quality of service (QoS) level when compared to traditional routing and traffic engineering techniques. We use a number of different mobility scenarios and a mix of different types of traffic to evaluate our architecture and algorithm. We use the network simulator ns-2 as the core of our simulation environment. Around this core we built a system of pre-simulation, during simulation, and post-processing software that enabled us to simulate our traffic engineering architecture with only very minimal changes to the core ns-2 software. Our simulation environment supports a number of different mobility scenarios and a mix of different types of traffic to evaluate our architecture and algorithm.

• Journal of Information Technology Services
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• v.18 no.4
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• pp.135-149
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• 2019

Recently, there are many researches for extracting meaningful information from large amount of text data. Among various applications to extract information from text, topic modeling which express latent topics as a group of keywords is mainly used. Topic modeling presents several topic keywords by term/topic weight and the quality of those keywords are usually evaluated through coherence which implies the similarity of those keywords. However, the topic quality evaluation method based only on the similarity of keywords has its limitations because it is difficult to describe the content of a topic accurately enough with just a set of similar words. In this research, therefore, we propose topic keywords reorganizing method to improve the identifiability of topics. To reorganize topic keywords, each document first needs to be labeled with one representative topic which can be extracted from traditional topic modeling. After that, classification rules for classifying each document into a corresponding label are generated, and new topic keywords are extracted based on the classification rules. To evaluated the performance our method, we performed an experiment on 1,000 news articles. From the experiment, we confirmed that the keywords extracted from our proposed method have better identifiability than traditional topic keywords.

• ETRI Journal
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• v.24 no.1
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• pp.43-55
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• 2002

This paper proposes a flow-based admission control algorithm through an Asynchronous Transfer Mode (ATM) based Multi-Protocol Label Switching (MPLS) network for multiple service class environments of Integrated Service (IntServ) and Differentiated Service (DiffServ). We propose the Integrated Packet Scheduler to accommodate IntServ and Best Effort traffic through the DiffServ-aware MPLS core network. The numerical results of the proposed algorithm achieve reliable delay-bounded Quality of Service (QoS) performance and reduce the blocking probability of high priority service in the DiffServ model. We show the performance behaviors of IntServ traffic negotiated by end users when their packets are delivered through the DiffServ-aware MPLS core network. We also show that ATM shortcut connections are well tuned with guaranteed QoS service. We validate the proposed method by numerical analysis of its performance in such areas as throughput, end-to-end delay and path utilization.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.28 no.2B
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• pp.144-156
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• 2003

Internet/Intranet has been continuously enhanced by new emerging IP technologies such as differentiate service(DiffServ), IPSec(IP Security) and MPLS(Multi-protocol Label Switching) traffic engineering. According to the increased demands of various real-time multimedia services, ISP(Internet Service Provider) should provide enhanced end-to-end QoS(quality of service) and security features. Therefore, Internet and Intranet need the management functionality of sophisticated traffic engineering functions. In this paper, we design and implement the performance management functionality for the guaranteed end-to-end QoS provisioning on MPLS-based VPLS(Virtual Private LAN Service). We propose VPLS OAM(Operation, Administration and Maintenance) for efficient performance management. We focus on a scheme of QoS management and measurement of QoS parameters(such as delay, jitter, loss, etc.) using VPLS OAM functions. The proposed performance management system also supports performance tuning to enhance the provided QoS by re-adjusting the bandwidth of LSPs for VPLS. We present the experimental results of performance monitoring and analysis using a network simulator.