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      • 모바일 사전을 위한 효율적인 선인출 기법

        홍순정,문양세,김혜숙,김진호,정영준 강원대학교 정보통신연구소 2007 정보통신논문지 Vol.11 No.-

        In the mobile Internet environment, we need to perform frequent accesses between a mobile device and a content server for searching or downloading learning materials. In this paper, we propose an efficient prefetching technique to reduce the network cost and to improve the communication efficiency in the mobile dictionary. Contributions of the paper can be summarized as follows. First, we propose an overall framework for the prefetching-based mobile dictionary. Second, we present a method of determining the amount of prefetching data for each of packet-based and flat-rate billing cases. Third, by focusing on the English-Korean mobile dictionary for middle or high school students, we propose a method of determining the words to be prefetched in advance. Fourth, based on these determination methods, we propose an efficient prefetching algorithm. Fifth, through experiments, we show superiority of our prefetching-based method. Experimental results show that, compared with the traditional on-demand method, our prefetching-based method improves the average performance by 9.8%~19.7% for the packet-based billing and by 19.0%~33.2% for the flat-rate billing. These results indicate that our framework can be widely used not only in the mobile dictionary but also in other mobile Internet applications that require the prefetching technique.

      • 시계열 매칭 기반의 윤곽선 이미지 매칭 시스템 설계 및 구현

        김범수,문양세,김진호 강원대학교 정보통신연구소 2008 정보통신논문지 Vol.12 No.-

        In this paper we exploit time-series matching for boundary image matching. The motivation is based on that images can be converted to time-series. Thus, we implement a boundary image matching system using time-series matching techniques. We use an index-based matching method that efficiently performs boundary image matching. We implement our boundary matching system as a client-server model. Experimental results show that our index-based method outperforms the sequential scan by one to three orders of magnitude. Our system is practically implemented for image matching through the appropriate techniques in the time-series domain, and we thus believe that our approach can be widely used in image matching areas.

      • 온라인 교육 사이트의 교육 환경 및 효과 분석

        이용주,문양세,김혜숙,김진호 강원대학교 정보통신연구소 2008 정보통신논문지 Vol.12 No.-

        In recent years, people are gradually interested in the Internet-based educational programs (also known as e-learning and cyber lectures), and online education is now widely used in various educational areas. In this paper, considering the environment and achievement aspects we analyze online education by dividing it into public education and private education. We analyze the online education as the following steps. First, we review the recent online educational methods by comparing them to the traditional offline educational ones. Second, we compare EBS, a representative public educational site, and Megastudy, a representative private educational site, by investigating their operation, human, economic, hardware, and software resources. Third, we compare EBS and Megastudy in aspects of environment and achievement through a survey on high-school students after providing their sample lectures. Analytical results show that the students of using Megastudy get good grades compared with those of using Megastudy. This is because Megastudy provides the specialized lectures that focus on obtaining high scores in examinations. We believe that our research results will provide important directions in improving the quality of online educational sites.

      • RSS기반 블로그 에이전트를 사용한 교육용 블로그 구현

        황의경,문양세,김혜숙,김진호,이상민 강원대학교 정보통신연구소 2007 정보통신논문지 Vol.11 No.-

        More than 80% of the Internet users are familiar with blogs and exploit blogs as their primary communication tools in Korea. These blogs are widely used as a representative personal media service in educational applications as well as business marketing or information sharing applications. In this paper, we present an efficient mechanism of using blogs for educational applications. For this, we first investigate the major problems that the current educational blog sites have. We then propose a new notion of the blog agent that solves the problems and makes it easy to exploit blogs for educational applications. Contributions of the paper can be summarized as follows. First, we investigate the problems with respect to the homework management by analyzing the existing educational blog sites. Second, we present how we can solve the problems by using blog agent. Third, we show that, if exploiting the blog agent, we can easily design blog sites for homework, consultation, or lecture material management. Fourth, through a survey on current blog-related techniques, we select the RSS-based technique to implement our intelligent blog agent. Fifth, we implement the blog sites for homework, consultation, and lecture material management by using "Cyworld's Paper," which is one of RSS-based blog techniques.

      • 스프레드시트 방식의 OLAP 인터페이스를 위한 시트 분할 기법

        신성현,이수안,최훈영,김진호,문양세 강원대학교 정보통신연구소 2007 정보통신논문지 Vol.11 No.-

        OLAP(Online-Analytical Processing) is widely used to analyze multidimensional data extracted from a huge size of source operational databases and to provide a useful information for business decision making. OLAP tools provide a variety of ways to analyze and to browse data which are not familiar with end users. But spreadsheet tools like MS Excel are very popular in real-world to calculate some statistics from source data and to analyze them. In this research, we implemented a spreadsheet-like tool on the top of relational databases to support OLAP operations and to browse the results of analytical queries. For implementing the tool, we propose a sheet partition function for spreadsheets which partitions a relational table into multiple sheet based on the number of rows or (dimensional) attribute values. This function can enable users to view a physically stored table as a set of spreadsheets like Excel thus users can browse the stored table as if it is spreadsheets. With this spreadsheet-like interface, users will be able to handle multidimensional data stored in relational databases in more user-friendly way.

      • KCI등재

        A Nickel Nanowire Diluter Operating through the Principle of the Dielectrophoretic Attraction Force

        양진호(Jinho Yang),윤현중(Hyeun Joong Yoon),양의혁(Eui-Hyeok Yang),양상식(Sang Sik Yang) 대한전기학회 2010 전기학회논문지 Vol.59 No.2

        This paper presents a microfabricated nanowire diluter which dilutes the concentration of nanowires in solution instead of by the conventional centrifuge process. The device has 16 pairs of gold electrodes in a micro channel composed of a glass substrate and PDMS. We prepared nickel nanowires by the template-directed electrodeposition method using nanoporous anodized aluminum template (AAO). We injected the Dimethylformamide (DMF) solution containing nanowires into the inlet of the diluter while applying square wave voltages on the electrodes to trap the nanowires at the subsequent gold electrodes by means of dielectrophoretic attraction forces. The concentration of nanowires at the outlet of the micro channel was changed as we expected, which illustrates that the device can effectively dilute nanowires and can be applied to a controlled assembly of nanowires.

      • KCI등재후보

        Relationship Between Cortical Iron and Diabetes Mellitus in Older Adults With Cognitive Complaints: A Quantitative Susceptibility Map Study

        Yang Jinho,Lee Subin,Moon Yeonsil,Lee Jongho,Moon Won-Jin 대한자기공명의과학회 2023 Investigative Magnetic Resonance Imaging Vol.27 No.2

        Purpose: Diabetes mellitus (DM) is implicated in the pathogenesis of iron dysregulation and Alzheimer’s disease. We aimed to evaluate whether the presence of DM and status of cognitive impairment affect cortical iron accumulation in older adults, as quantified by the susceptibility measurements using the deep neural network QSMnet+. Materials and Methods: In this retrospective analysis of a prospective cohort, 50 patients with normal cognition with or without subjective memory impairment (controls), 49 with early mild cognitive impairment (MCI), and 43 with late MCI were evaluated. We employed QSMnet+ to compute a quantitative susceptibility map and FreeSurfer 6.0 to obtain anatomical labels. The effects of MCI and DM on cortical susceptibility and volume were evaluated using a two-way analysis of covariance. Results: Whole-cortex susceptibility differed according to MCI (p < 0.001) but not according to DM (p = 0.554), with higher values in the early and late MCI groups than in the control group. MCI and the DM status showed a significant interaction in the whole cortex (p = 0.023). Among the patients with early MCI, those with DM exhibited higher cortical susceptibility than those without DM, whereas those with late MCI showed no such difference. Cortical susceptibility did not correlate with the cortical volume in patients with DM and inversely correlated with the cortical volume in patients without DM. Only disease status (p = 0.008) and DM (p = 0.023) were independent predictors of whole-cortex susceptibility, after correcting for covariates. Conclusion: Our findings demonstrated that cognitive impairment and DM are linked to alterations in cortical susceptibility in older adults. This observation suggests that cortical iron accumulation results from the combined effects of DM and neurodegenerative processes related to the cognitive status.

      • KCI등재

        Lung Disease Diagnostic Model Through IgG Sensitization to Microbial Extracellular Vesicles

        Jinho Yang,Goohyeon Hong,Youn Seup Kim,Hochan Seo,Sungwon Kim,Andrea McDowell,Won Hee Lee,You-Sun Kim,Yeon-Mok Oh,조유숙,Young Woo Choi,You-Young Kim,지영구,김윤근 대한천식알레르기학회 2020 Allergy, Asthma & Immunology Research Vol.12 No.4

        Purpose: Recently, there has been a rise in the interest to understand the composition of indoor dust due to its association with lung diseases such as asthma, chronic obstructive pulmonary disease (COPD) and lung cancer. Furthermore, it has been found that bacterial extracellular vesicles (EVs) within indoor dust particles can induce pulmonary inflammation, suggesting that these might play a role in lung disease. Methods: We performed microbiome analysis of indoor dust EVs isolated from mattresses in apartments and hospitals. We developed diagnostic models based on the bacterial EVs antibodies detected in serum samples via enzyme-linked immunosorbent assay (ELISA) in this analysis. Results: Proteobacteria was the most abundant bacterial EV taxa observed at the phylum level while Pseudomonas, Enterobacteriaceae (f) and Acinetobacter were the most prominent organisms at the genus level, followed by Staphylococcus. Based on the microbiome analysis, serum anti-bacterial EV immunoglobulin G (IgG), IgG1 and IgG4 were analyzed using ELISA with EV antibodies that targeted Staphylococcus aureus, Acinetobacter baumannii, Enterobacter cloacae and Pseudomonas aeruginosa. The levels of anti-bacterial EV antibodies were found to be significantly higher in patients with asthma, COPD and lung cancer compared to the healthy control group. We then developed a diagnostic model through logistic regression of antibodies that showed significant differences between groups with smoking history as a covariate. Four different variable selection methods were compared to construct an optimal diagnostic model with area under the curves ranging from 0.72 to 0.81. Conclusions: The results of this study suggest that ELISA-based analysis of anti-bacterial EV antibodies titers can be used as a diagnostic tool for lung disease. The present findings provide insights into the pathogenesis of lung disease as well as a foundation for developing a novel diagnostic methodology that synergizes microbial EV metagenomics and immune assays.

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