• Journal of The Korean Society of Integrative Medicine
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• v.5 no.3
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• pp.71-82
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• 2017

Purpose : This qualitative study aimed to determine the health problems and thoughts regarding health promotion of residents of the community. Method : Eighteen residents living in S-gu (local area) located in Busan city and health professionals working in health-related workplaces in the area were selected as participants. Focus groups were extracted and composed, and a focus group interview was conducted for six months from November 2015 to April 2016. Data were analyzed using a phenomenological method outlined by Colaizzi. Result : There were 187 significant statements derived from the data obtained from focus group interviews. These statements were categorized into 33 meaning units based on the researcher's interpretation. Thirteen themes were derived from the derived meaning units and finally categorized into five theme clusters: "People who are trapped in," "Health is what you make yourself," "Pathetic health problems in our community," "Finding solutions to health problems," and "Shortcuts to healthy community." Conclusion : The study results can be applied to the identification of a community health problem and the construction of a long-term health promotion system. In future research, it will be necessary to conduct an experimental study on various programs and approaches for promoting community health, which reflects the solutions to the health problems in the community.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.12
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• pp.5643-5656
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• 2016

The detection accuracy of steganalysis depends on many factors, including the embedding algorithm, the payload size, the steganalysis feature space and the properties of the cover source. In practice, the cover source mismatch (CSM) problem has been recognized as the single most important factor negatively affecting the performance. To address this problem, we propose a new framework for blind, universal steganalysis which uses traditional steganalyst features. Firstly, cover images with the same statistical properties are searched from a reference image database as aided samples. The test image and its aided samples form a whole test set. Then, by assuming that most of the aided samples are innocent, we conduct outlier detection on the test set to judge the test image as cover or stego. In this way, the framework has removed the need for training. Hence, it does not suffer from cover source mismatch. Because it performs anomaly detection rather than classification, this method is totally unsupervised. The results in our study show that this framework works superior than one-class support vector machine and the outlier detector without considering the image retrieval process.

• ETRI Journal
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• v.38 no.6
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• pp.1153-1162
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• 2016

This paper addresses the resource allocation (RA) problem in multi-cell cognitive radio networks. Besides the interference power threshold to limit the interference on primary users PUs caused by cognitive users CUs, a proportional fairness constraint is used to guarantee fairness among multiple cognitive cells and the impact of imperfect spectrum sensing is taken into account. Additional constraints in typical real communication scenarios are also considered-such as a transmission power constraint of the cognitive base stations, unique subcarrier allocation to at most one CU, and others. The resulting RA problem belongs to the class of NP-hard problems. A computationally efficient optimal algorithm cannot therefore be found. Consequently, we propose a suboptimal RA algorithm composed of two modules: a subcarrier allocation module implemented by the immune algorithm, and a power control module using an improved sub-gradient method. To further enhance algorithm performance, these two modules are executed successively, and the sequence is repeated twice. We conduct extensive simulation experiments, which demonstrate that our proposed algorithm outperforms existing algorithms.

• 대한공업교육학회지
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• v.31 no.1
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• pp.129-145
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• 2006

The purpose of this study was to develop and apply the project-based learning strategy in blended learning environment to raise and enhance scientific thinking skill, creativity, and problem solving skills to students who would be teachers of an elementary school in the future. This study was conducted as an action research based on an educational university. The study included 25 participants in a class. Data were collected through observation, surveys, interview and students' artifacts. Results indicated the project-based learning strategy in blended learning environment allowed students to raise problem solving skill, critical thinking skill, and creativity. Finally implications of this study, obstacles to conduct this study, and recommendations to implement this strategy more effectively and efficiently were presented.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.8
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• pp.4043-4060
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• 2017

Network Intrusion Detection (NID), an important topic in the field of information security, can be viewed as a pattern recognition problem. The existing pattern recognition methods can achieve a good performance when the number of training samples is large enough. However, modern network attacks are diverse and constantly updated, and the training samples have much smaller size. Furthermore, to improve the learning ability of SVM, the research of kernel functions mainly focus on the selection, construction and improvement of kernel functions. Nonetheless, in practice, there are no theories to solve the problem of the construction of kernel functions perfectly. In this paper, we effectively integrate the advantages of the radial basis function kernel and the polynomial kernel on the notion of the game theory and propose a novel kernel SVM algorithm with game theory for NID, called GTNID-SVM. The basic idea is to exploit the game theory in NID to get a SVM classifier with better learning ability and generalization performance. To the best of our knowledge, GTNID-SVM is the first algorithm that studies ensemble kernel function with game theory in NID. We conduct empirical studies on the DARPA dataset, and the results demonstrate that the proposed approach is feasible and more effective.

• Journal of Fashion Business
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• v.12 no.3
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• pp.16-30
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• 2008

The purpose of this study is to inquire into the necessity and problem of the study on beauty aesthetics, and the direction and method of its study theoretically by applying the concept of aesthetics to the beauty art as an attempt to build up aesthetic concepts of beauty art. As results of inquiry, the study on beauty aesthetics is essential for the adaptation to demands for the creativity of beauty art. As for problem of study on beauty aesthetics, it is necessary to conduct an aggregate study at various angles since the aesthetic value of beauty art (hairstyle) is realized by interaction of the social cultural value or practical value and pure artistic value, and the unique cosmetic beauty of any era or nation group individual is created on the basis of hair designers and individual spirit, emotion and taste, etc. and its perceptual aesthetic enjoyment is accomplished variously. As for the direction and method of study on beauty aesthetics, the quest with abstract speculative self-examination into the beauty having its subjective meaning must be accomplished. This thesis would like to contribute to the building up of beauty industry field as beauty arts based on the aesthetics by successive coming forward of personnel for beauty who combine the aesthetic abilities meeting the diversified requirements of modern society and by improving the recognition of persons recognizing the beauty industry field as a technical field only.

• The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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• v.23 no.1
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• pp.270-281
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• 2010

Objectives : The purpose of this study is to survey the needs of Oriental Medical students about the existing teaching methods and to investigate satisfaction of new teaching & learning method on the Oriental medical Ophthalmology & Otolaryngology Class. Methods : 1. The needs of Oriental medicine whole students(475 persons) were surveyed with questioning paper. 2. Oriental medical Ophthalmology & Otolaryngology were studied by new paradigm teaching method with 116 students(3rd grade, school of Oriental medicine). 3. The satisfaction of school lesson of Oriental medicine 3rd grade students(106 persons) were surveyed with questioning paper before & after applying new paradigm teaching method. Results : 1. 43% students did not know well the purpose of lessons. 2. 46.7% students answered the curriculum has a large quantity. Conclusions : 1. Students want to study with various teaching & learning methods on school lessons. 2. 72.6% students were replied the problem based learning is effective to make a diagnosis and treatment of patients in the future. 3. 58.5% students take a part positively in the conduct of Team based learning study. 4. Team based learning was effective to the interaction with professor and students.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.9
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• pp.3204-3220
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• 2021

We perform the task of video object segmentation by incorporating a conditional random field (CRF) and convolutional neural networks (CNNs). Most methods employ a CRF to refine a coarse output from fully convolutional networks. Others treat the inference process of the CRF as a recurrent neural network and then combine CNNs and the CRF into an end-to-end model for video object segmentation. In contrast to these methods, we propose a novel higher-order CRF model to solve the problem of video object segmentation. Specifically, we use CNNs to establish a higher-order dependence among pixels, and this dependence can provide critical global information for a segmentation model to enhance the global consistency of segmentation. In general, the optimization of the higher-order energy is extremely difficult. To make the problem tractable, we decompose the higher-order energy into two parts by utilizing auxiliary variables and then solve it by using an iterative process. We conduct quantitative and qualitative analyses on multiple datasets, and the proposed method achieves competitive results.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.6
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• pp.3000-3022
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• 2019

Full-duplex (FD) technologies enable wireless nodes to simultaneously transmit and receive signal using the same frequency-band. The FD modes could improve their physical layer throughputs. However, in the wireless ad hoc networks, the FD communications also produce new interference risks. On the one hand, the interference ranges (IRs) of the nodes are enlarged when they work in the FD mode. On the other hand, for each FD pair, the FD communication may cause the potential hidden terminal problems to appear around the both sides. In this paper, to avoid the interference risks, we first model the IR of each node when it works in the FD mode, and then analyze the conditions to be satisfied among the transmission ranges (TRs), carrier-sensing ranges (CSRs), and IRs of the FD pair. Furthermore, in the media access control (MAC) layer, we propose a specific method and protocol for collision avoidance. Based on the modified Omnet++ simulator, we conduct the simulations to validate and evaluate the proposed FD MAC protocol, showing that it can reduce the collisions effectively. When the hidden terminal problem is serious, compared with the existing typical FD MAC protocol, our protocol can increase the system throughput by 80%~90%.

• Journal of Korea Multimedia Society
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• v.25 no.5
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• pp.703-720
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• 2022

Based on the love styles theory used in psychology, this paper classifies users(Passionate Love, Game-playing Love, Friendship Love, Practical Love, Possessive Love, Altruistic Love) and investigates satisfaction with the motivation for using TikTok love videos(Entertainment, Social Relationship, Love skills-learning, Self-verification, Problem-solving) according to the theory of use and satisfaction. First, 414 users were selected to conduct TikTok surveys to collect data. Then, through the analysis of the research results, among the six love types, game-playing type and possessive type have a positive (+) impact on entertainment motivation and love skill-learning motivation. Game-playing type also have a positive (+) impact on social relationship motivation and self-verification motivation. In addition, altruistic type and possessive type are also factors to strengthen the motivation of self-verification. The altruistic type, possessive type and practical type will improve the problem-solving motivation. Finally, through hierarchial multiple regression analysis, it is confirmed that game-playing love type, entertainment motivation, love skill-learning motivation and self-verification motivation can improve user satisfaction. The above results enrich the research of user classification as well as providing inspiration for improving the quality and communication efficiency of TikTok's video and enhancing user experience.