• Proceedings of the Korean Information Science Society Conference
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• 2006.10b
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• pp.408-411
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• 2006

유비쿼터스 컴퓨팅 환경에서 서비스를 제공함에 있어 지능적인 수행 능력은 사용자의 만족도를 높여주는 핵심 요소이다. 시스템의 지능을 부여하기 위해서는 지식을 관리, 처리, 활용하는 기능이 필요한데, 이들 기능은 그 지식이 어떻게 표현되어 있는지에 큰 영향을 받는다. 일차 술어 논리 기반 지식 표현 방법은 폭넓은 표현 범위와 유연한 지식 정의, 추론 방법으로 선호되고 있지만, 복잡한 계산 비용을 갖고 있기 때문에, 전문적인 지식 처리 시스템이 아닌 경우, 불필요한 계산 비용이 소요된다. Description Logic은 Frame기반 지식 표현 방식으로 일차 술어 논리를 사용하는 것보다 지식을 표현할 수 있는 범위는 제한적이지만, 빠른 추론 결과를 보장해 준다. 유비쿼터스 컴퓨팅 환경에서는 분산된 다양한 오브젝트들이 협력과정을 통해 사용자에게 지능적인 서비스를 제공하게 되고, 이들 개별적인 오브젝트들은 저사양의 계산능력을 갖고 있다고 가정된다. 그러므로, 저사양의 컴퓨팅 오브젝트들을 조합하여 지능적인 서비스를 성공적으로 제공하기 위해서, 각각의 오브젝트들은 제한된 지식을 효과적으로 관리할 수 있는 방법이 필요하다. 이를 위해 본 논문에서는 Frame 기반의 Description Logic을 기반으로 SUNHI의 표현 범위를 가진 인식론적 온톨로지 표현 언어를 제안하고, SUNHI의 표현 범위의 효율성을 증명하고자 한다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.5
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• pp.2523-2538
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• 2017

In most of the existing literature, the definition of the class label has the following characteristics. First, the class label of the samples from the same object has an absolutely fixed value. Second, the difference between class labels of the samples from different objects should be maximized. However, the appearance of a face varies greatly due to the variations of the illumination, pose, and expression. Therefore, the previous definition of class label is not quite reasonable. Inspired by discriminative least squares regression algorithm (DLSR), a noisy label based discriminative least squares regression algorithm (NLDLSR) is presented in this paper. In our algorithm, the maximization difference between the class labels of the samples from different objects should be satisfied. Meanwhile, the class label of the different samples from the same object is allowed to have small difference, which is consistent with the fact that the different samples from the same object have some differences. In addition, the proposed NLDLSR is expanded to the kernel space, and we further propose a novel kernel noisy label based discriminative least squares regression algorithm (KNLDLSR). A large number of experiments show that our proposed algorithms can achieve very good performance.

• The Research Journal of the Costume Culture
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• v.10 no.4
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• pp.364-376
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• 2002

The Main objective of this study was to investigate the relationship between shopping orientations and Knit wear Buying Behavior of college female students. A questionnaire was developed to measure knit wear purchasing motives, fashion information sources of knit wear, evaluation criteria of knit wear product, and general clothing buying behavior. The questionnaire was administered to 505 college female students in Chonbuk and Chonnam. The data was analyzed using percentage, frequency, mean, factor analysis, Cluster Analysis and ANOVA, Duncan Multiple Range test. The results of the study were as follows: 1. The college female students were classified into fifth subdivisions by the cluster analysis; convenient shopping group, recreational shopping group, self-confident shopping group, those of Fashion-pursuit group, economic shopping group. 2. The knit wear purchasing motives of consumers were significantly different according to shopping orientation subdivision in social, personal, rational. 3. In the case of fashion information sources of knit wear, significant differences were found according to shopping orientation subdivision in mass media information, information by marketer, mail order advertisements, information by consumer. 4. The evaluation criteria of knit wear product of consumers were significantly different depending on shopping orientation subdivision in esthetic, practicality, individual expression, external criterion. 5. In the case of dissatisfactory factors for wearing knit wear product, significant differences were found according to shopping orientation subdivision. 6. In the case of asking factors to the manufactures of knit wear product, significant differences were found according to shopping orientation subdivision.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.10a
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• pp.647-650
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• 2018

With the advent of advanced technologies in the real world, the cyber domain has become wider and cyber threats are increasing. A cyber threat intelligence sharing system is needed to more effectively defend and respond to such cyber threats. Through the definition of cyber threat information expression standard, it enables rapid sharing, consistent analysis, and automated interpretation of cyber threat information possessed by individual security control providers or organizations.

• ETRI Journal
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• v.33 no.5
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• pp.689-694
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• 2011

In this paper, we study scheduling schemes for two-user two-way wireless relaying systems. Two transmission modes are considered: point-to-point direct transmission and two-way amplify-and-forward relaying. An optimal scheduling scheme that opportunistically selects the best transmission mode for each user is proposed to minimize the sum bit error rate (BER). The performance lower bound of the optimal scheduling scheme is analyzed, and closed-form expression of the lower-bound BER is derived. However, for optimal scheduling, the scheduler requires the knowledge of channel state information (CSI) of all links. To reduce the feedback information of CSI, we also propose a suboptimal scheduling scheme that selects the transmission mode using only the CSI of two direct links. Simulation results show that there are 4 dB to 8 dB gains for the proposed optimal and suboptimal schemes over the fixed direct transmission and fixed two-way relayed transmission scheme. The performance gap between the optimal and suboptimal scheduling schemes is small, which implies a good trade-off between implementation complexity and system performance.

• The Journal of Korean Academic Society of Nursing Education
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• v.12 no.2
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• pp.143-150
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• 2006

Purpose: The purposes of this study were to identify the actual conditions and needs of the health care utilization and health information in deafs. Methods: Forty-one deaf volunteers were interviewed by suwha nursing students. The semi-structured interviews were conducted in sign language at homes and community centers. The instrument developed by researchers consisted of 22 items including demographic information, health care utilization, and open-ended questions. Data were analyzed using content analysis, frequency and percentage. Results: The most discomfort problems were communication difficulty and expression of symptom. The deaf people wanted to learn about diseases and symptoms. The deaf wanted to get information about cancer. Conclusions: Further studies focusing on educational intervention are needed to increase the knowledge level on disease of deaf. The sign language translators are needed to help communication for deaf in health care facilities.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.39C no.11
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• pp.1124-1131
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• 2014

The chirp spread spectrum (CSS) technique that transmits data signal by using a chirp signal is often used for maritime wireless communication systems such as sound detection radar systems for submarines. However, maritime multipath environment could reduce the data rate of the CSS system. To tackle the problem, an overlap-based CSS transmission scheme is proposed and analyzed in this paper: Based on the approximated Gaussian Q function, we derive a closed form expression of the bit error rate (BER) of the proposed overlap-based CSS system and investigate the mathematical relationship between the number of overlaps and the intersymbol interference (ISI).

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2008.08a
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• pp.79-82
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• 2008

For expression of isogram in mobile GIS environments, the client needs to receive the value data with the topographical map from a server. At this point, a client can't get the entire raw data because of the mobile characteristics. The approach to get representative points and to make isogram by interpolation methods, has some problems. The approach requires huge computing overhead at the client and doesn't guarantee the correctness of the isogram. In this paper, a data structure and algorithm for efficient transmission of contour information to a client which is constructed from a elevation information at a server, arc proposed. A proposed methods are focused at minimizing the transmission data volume and time.

• Applied Microscopy
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• v.46 no.4
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• pp.184-187
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• 2016

Neuronal connectivity determines brain function. Therefore, understanding the full map of brain connectivity with functional annotations is one of the most desirable but challenging tasks in science. Current methods to achieve this goal are limited by the resolution of imaging tools and the field of view. Macroscale imaging tools (e.g., magnetic resonance imaging, diffusion tensor images, and positron emission tomography) are suitable for large-volume analysis, and the resolution of these methodologies is being improved by developing hardware and software systems. Microscale tools (e.g., serial electron microscopy and array tomography), on the other hand, are evolving to efficiently stack small volumes to expand the dimension of analysis. The advent of mesoscale tools (e.g., tissue clearing and single plane ilumination microscopy super-resolution imaging) has greatly contributed to filling in the gaps between macroscale and microscale data. To achieve anatomical maps with gene expression and neural connection tags as multimodal information hubs, much work on information analysis and processing is yet required. Once images are obtained, digitized, and cumulated, these large amounts of information should be analyzed with information processing tools. With this in mind, post-imaging processing with the aid of many advanced information processing tools (e.g., artificial intelligence-based image processing) is set to explode in the near future, and with that, anatomic problems will be transformed into informatics problems.

• Journal of the Korean Society for information Management
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• v.16 no.3
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• pp.65-82
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• 1999

Internet users are often frustrated when they try to find“right”piece of information quickly. The reason is that the discovery of available and quality based-resources becomes more difficult to end users while the Internet continues to expand rapidly. Not only incorrect keywords and query expression but word sense ambiguation are the cause of dropping-off in efficiency on Internet search. In this paper, studies were conducted to analyze dropping off in efficiency fir Internet search and discussed reducing user s frustration of the Internet and improving their search strategies.