• Korean Journal of Health Education and Promotion
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• v.21 no.1
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• pp.285-295
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• 2004

Purpose： The purpose of this study was to investigate the expectations toward a tele-health surveillance system by residents of an information network village. Method： A descriptive study was conducted using interviews with a questionnaire. Of the households in the village, 24 were selected for inclusion in a pilot study. All of the residents from these households, for a total of 67, participated in the survey. Result： Expectations for promotion of health by a tele-health surveillance system were higher in residents with higher level of education. Expectations for effectiveness of disease management and promotion of health status by a tele-health surveillance system were higher in residents with family history or experience with emergencies. The higher scores for health knowledge and health concerns were associated with higher expectations for effectiveness of disease management and promotion of health by a tele-health surveillance system Conclusion： Analysis of the characteristic of the residents should precede implementation of a tele-health surveillance system in any location as expectations for tele-health surveillance system differ according to the characteristics.

• The Magazine of the IEIE
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• v.36 no.11
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• pp.66-82
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• 2009

Probabilistic atlases for the human brain structure are more suitable than single brain atlases for representing population anatomy. In this study, we hypothesized the group-specific probabilistic atlas for accurate characteristic feature coding. Our proposed method for a new group comparison study, using a subpopulation specific probabilistic atlas, was based on this hypothesis. A knowledge-based automatic labeling technique using nonlinear registration was applied to encode group-specific regional probabilistic information. Direct atlas-based comparison using volume counting above the probability threshold, distance measurement and correlation analysis were performed based on the probabilistic atlas. Here, we applied this method for comparison between Korean and occidental groups. The results showed that this method could provide simple but intuitive regions of interest-based group analysis for the entire cortex area.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.23 no.9A
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• pp.2165-2172
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• 1998

Existing premises telecommucation wiring ad been installed for efficient telephone service. But premises wiring is currently ready to be reused as media for wideband digital services and Fiber-to-the-curb architecture. Electrical properties of premises wiring link have not characateized above frequencies for voice service. Accurte measurement of these characteristics are exssential for studies fof wideband ditital transmission system. On the other hand, the transmission qualities of premises wiring have been known to be worst in telecommunications access networks. So the knowledge of premises wiring sturucture as well as electrical properties is needed to improve the performance of premises wiring. In this paper, the structure of premises wiring is described in detail and electrical characteristics (characteristic impedance, SRL, attnuation, NEXT) about premises cables and stelecommucations link of representative apartment complex sare measured and naalyzed ove r16MHz range which is UTP Cat3 bandwidth.

• Proceedings of the KIEE Conference
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• 1996.11a
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• pp.323-325
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• 1996

The design of Intelligent Energy Saving Power System Controller (IESPSC) for Telecom DC power plants is proposed and presented in this paper. From the past experience. rectifiers for Telecom DC power plants have been operated inefficiently at light loads. IESPSC offers "novel load sharing" approach based on the knowledge of each unit's efficiency of paralleled rectifiers. Neural networks is used for identifying each rectifier's efficiency characteristic curve corresponding to load currents, which is in turn utilized to produce a system efficiency close to the maximum under all operating conditions. In addition, by limiting the number of operating units to the minimum while maintaining high efficiency at the determined loads, a drastic savings in operating cost can be achieved.

• Journal of the Korean Institute of Telematics and Electronics T
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• v.36T no.3
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• pp.26-31
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• 1999

In this paper, we propose a facial characteristic detection algorithm based on knowledge and object segmentation method for image communication. In this algorithm, under the condition of the same lumination and distance from the fixed video camera to human face, we capture input images of 256 $\times$ 256 of gray scale 256 level and then remove the noise using the Gaussian filter. Two images are captured with a video camera, One contains the human face; the other contains only background region without including a face. And then we get a differential image between two images. After removing noise of the differential image by eroding End dilating, divide background image into a facial image. We separate eyes, ears, a nose and a mouth after searching the edge component in the facial image. From simulation results, we have verified the efficiency of the Proposed algorithm.

• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2002.11a
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• pp.279-285
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• 2002

Condominium management ask for planning ability and special knowledge in order to solve the troubles of a condominium. But not all HOA have that ability or knowledge, so administration support to condominium management came to be given to HOA. In this study, we divided the administration policies on condominium management as follows;$\circled1$instruction about an advertisement and a contract$\circled2$instruction about management$\circled3$instruction about maintenance $\circled4$ instruction by the local government $\circled5$ legislation about condominium management. The condominium management policy has been almost programmed by the state, such as legal amendments to laws and advises by administrative inspection. But these condominium management policies by the state have limitations to support HOA appropriately, so correspondence of the local government is called for, On the other hand, in the local governments, grasp basic contents for execution to the condominium management policy, an information of offering and consultation has been started. And system that suits the situation and the characteristic of each district was provided. However it could not say that we grasp the tendency of the condominium management policies wholly of the local governments, so it remains as a subject because it is not long since condominium management policies of the local government started, and we picked up only metropolis in this study. In the future, it is necessary to search on the consciousness of a resident and the HOA about the condominium management policy, and make out the data which can be reflected in policy deployment in the local governments from now on. ＊ HOA ‥‥ Home Owners Association

• Journal of Intelligence and Information Systems
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• v.24 no.4
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• pp.111-136
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• 2018

In this paper, we propose a methodology to extract answer information about queries from various types of unstructured documents collected from multi-sources existing on web in order to expand knowledge base. The proposed methodology is divided into the following steps. 1) Collect relevant documents from Wikipedia, Naver encyclopedia, and Naver news sources for "subject-predicate" separated queries and classify the proper documents. 2) Determine whether the sentence is suitable for extracting information and derive the confidence. 3) Based on the predicate feature, extract the information in the proper sentence and derive the overall confidence of the information extraction result. In order to evaluate the performance of the information extraction system, we selected 400 queries from the artificial intelligence speaker of SK-Telecom. Compared with the baseline model, it is confirmed that it shows higher performance index than the existing model. The contribution of this study is that we develop a sequence tagging model based on bi-directional LSTM-CRF using the predicate feature of the query, with this we developed a robust model that can maintain high recall performance even in various types of unstructured documents collected from multiple sources. The problem of information extraction for knowledge base extension should take into account heterogeneous characteristics of source-specific document types. The proposed methodology proved to extract information effectively from various types of unstructured documents compared to the baseline model. There is a limitation in previous research that the performance is poor when extracting information about the document type that is different from the training data. In addition, this study can prevent unnecessary information extraction attempts from the documents that do not include the answer information through the process for predicting the suitability of information extraction of documents and sentences before the information extraction step. It is meaningful that we provided a method that precision performance can be maintained even in actual web environment. The information extraction problem for the knowledge base expansion has the characteristic that it can not guarantee whether the document includes the correct answer because it is aimed at the unstructured document existing in the real web. When the question answering is performed on a real web, previous machine reading comprehension studies has a limitation that it shows a low level of precision because it frequently attempts to extract an answer even in a document in which there is no correct answer. The policy that predicts the suitability of document and sentence information extraction is meaningful in that it contributes to maintaining the performance of information extraction even in real web environment. The limitations of this study and future research directions are as follows. First, it is a problem related to data preprocessing. In this study, the unit of knowledge extraction is classified through the morphological analysis based on the open source Konlpy python package, and the information extraction result can be improperly performed because morphological analysis is not performed properly. To enhance the performance of information extraction results, it is necessary to develop an advanced morpheme analyzer. Second, it is a problem of entity ambiguity. The information extraction system of this study can not distinguish the same name that has different intention. If several people with the same name appear in the news, the system may not extract information about the intended query. In future research, it is necessary to take measures to identify the person with the same name. Third, it is a problem of evaluation query data. In this study, we selected 400 of user queries collected from SK Telecom 's interactive artificial intelligent speaker to evaluate the performance of the information extraction system. n this study, we developed evaluation data set using 800 documents (400 questions * 7 articles per question (1 Wikipedia, 3 Naver encyclopedia, 3 Naver news) by judging whether a correct answer is included or not. To ensure the external validity of the study, it is desirable to use more queries to determine the performance of the system. This is a costly activity that must be done manually. Future research needs to evaluate the system for more queries. It is also necessary to develop a Korean benchmark data set of information extraction system for queries from multi-source web documents to build an environment that can evaluate the results more objectively.

• Journal of Korean Medical classics
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• v.30 no.1
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• pp.1-15
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• 2017

Objectives : Ge Songping(戈頌平) was a medical doctor in Qing Dynasty during the late $19^{th}$ century who annotated the original texts of four medical classics and wrote Suwenzhigui (素問指歸), Shanghanzhigui(傷寒指歸), Jinkuizhigui(金匱指歸), and Shennongbencaojingzhigui (神農本草經指歸). This paper's objective is to compile information about his writings, and shed a light on the unique characteristic of his scholarly works. Methods : Information regarding Ge Songping's life has been gathered through existing research papers and the sources revealed in the introduction. His works were divided into different formal characters as listed in part of the introduction and in the table of contents. Contents related to Yinyang(陰陽) found in Suwenzhigui were studied in order to discover his unique scholastic character. After selecting and analyzing three texts related to Yinyang, some characteristic terms and emphasized contents were studied. Results : The review yielded knowledge about Ge Songping's life, the times of his publications, the meanings of the names of his books, and basic information abou them. In terms of his scholarstic works, he used the ideas he gained from Shanghanlun(傷寒論) to form his medical theory, and used this to write annotations for four types of medical classics. The features of his theory of Yinyang can be divided into four categories. First, he coined the term Qiye(氣液) to bring contrast between yinyang as yinye(陰液) and yangqi(陽氣). Second, he shaped the temporal and spatial structure of the circulation of yinyang based on Shierdizhi(十二地支). Third, he explained the relationship between yin and yang while mainly focused on yangqi. Fourth, he explained the physiology and pathology mechanisms while focused on the circulation of ascending and descending and the idea of mutual beneficiary.

• Journal of Electrical Engineering and Technology
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• v.12 no.6
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• pp.2365-2377
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• 2017

This paper addresses two interrelated problems concerning the tracking control of pod propulsion unmanned surface vessel (USV), namely, the modeling of pod propulsion USV, and tracking controller design. First, based on MMG modeling theory, the model of pod propulsion USV is derived. Furthermore, a practical adaptive neural tracking controller is proposed by backstepping technique, neural network approximation and adaptive method. Meanwhile, unlike some existing tracking methods for surface vessel whose control algorithms suffer from "explosion of complexity", a novel neural shunting model is introduced to solve the problem. Using a Lyapunov functional, it is proven that all error signals in the system are uniformly ultimately bounded. The advantages of the paper are that first, the underactuated characteristic of pod propulsion USV is proved; second, the neural shunting model is used to solve the problem of "explosion of complexity", and this is a combination of knowledge in the field of biology and engineering; third, the developed controller is able to capture the uncertainties without the exact information of hydrodynamic damping structure and the sea disturbances. Numerical examples have been given to illustrate the performance and effectiveness of the proposed scheme.

• Journal of Communications and Networks
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• v.17 no.2
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• pp.100-109
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• 2015

Mobile phone carriers face challenges from three synergistic dimensions: Wireless, social, and mobile. Despite significant advances that have been made about social networks and human mobility, respectively, our knowledge about the interplay between two layers remains largely limited, partly due to the difficulty in obtaining large-scale datasets that could offer at the same time social and mobile information across a substantial population over an extended period of time. In this paper, we take advantage of a massive, longitudinal mobile phone dataset that consists of human mobility and social network information simultaneously, allowing us to explore the impact of human mobility patterns on the underlying social network. We find that human mobility plays an important role in shaping both local and global structural properties of social network. In contrast to the lack of scale in social networks and human movements, we discovered a characteristic distance in physical space between 10 and 20 km that impacts both local clustering and modular structure in social network. We also find a surprising distinction in trajectory overlap that segments social ties into two categories. Our results are of fundamental relevance to quantitative studies of human behavior, and could serve as the basis of anchoring potential theoretical models of human behavior and building and developing new applications using social and mobile technologies.