• Title/Summary/Keyword: on-line media

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The Development of A Tour Application Book Using Contents Concerned with Busan Tour (부산 관광콘텐츠를 활용한 여행 앱북 <레인보우 부산> 개발)

  • Chang, Eun Jin;Yun, Tae Soo
    • Smart Media Journal
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    • v.4 no.4
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    • pp.93-100
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    • 2015
  • Markets of e-book and app book in Korea see novel as genre literature and webtoon account for 80 percents in sales so that market share is too based towards some specific fields. In readiblily and easy-to-buy convenience, different from paper books mostly sold off-line, app books are more advantageous but it works as a weak point to take long to publicly spread them before they are generally accepted. Meanwhile, the sales of the e-book market in Korea has been steeply risen. Further, the market is not only restricted to genre literature but also has come into the stage that various experimental challenges are issued in the field of publication contents. This study is aimed at developing the sightseeing app book as a future web-mobile platform with planning and develping the first app book dealing with localized contents based on Busan tour contents, making up for its defect that it offers only current simple information and then suggesting a strategy that the travelers' app book should be available for constant utilization connected to purchase by charged download.

Named Entity and Event Annotation Tool for Cultural Heritage Information Corpus Construction (문화유산정보 말뭉치 구축을 위한 개체명 및 이벤트 부착 도구)

  • Choi, Ji-Ye;Kim, Myung-Keun;Park, So-Young
    • Journal of the Korea Society of Computer and Information
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    • v.17 no.9
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    • pp.29-38
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    • 2012
  • In this paper, we propose a named entity and event annotation tool for cultural heritage information corpus construction. Focusing on time, location, person, and event suitable for cultural heritage information management, the annotator writes the named entities and events with the proposed tool. In order to easily annotate the named entities and the events, the proposed tool automatically annotates the location information such as the line number or the word number, and shows the corresponding string, formatted as both bold and italic, in the raw text. For the purpose of reducing the costs of the manual annotation, the proposed tool utilizes the patterns to automatically recognize the named entities. Considering the very little training corpus, the proposed tool extracts simple rule patterns. To avoid error propagation, the proposed patterns are extracted from the raw text without any additional process. Experimental results show that the proposed tool reduces more than half of the manual annotation costs.

Study of the Performance of a Dry Cleaning Method for Polluted Ballast Gravel of Railroad Fields (철도부지 오염도상자갈의 건식 정화 기술 성능 연구)

  • Cho, Youngmin;Park, Duckshin;Kwon, Tae-Soon;Lee, Jae-Young
    • Journal of the Korean Society for Railway
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    • v.18 no.6
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    • pp.552-557
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    • 2015
  • Ballast gravel in a railroad field is often polluted by grease and heavy metals. In this paper, the performances of a dry cleaning method for polluted ballast gravel in which pollutants on the gravel surface can be physically removed was extensively studied. A polluted ballast cleaning device able to shoot emery blasting media onto the surface using compressed air was prepared. Polluted ballast gravel was put into this device for cleaning, with the treatment time varied from 1 to 10 min. The cleaning efficiency of the total petroleum hydrocarbons and heavy metals were studied. The total petroleum hydrocarbon removal efficiency was 70-80% for gravels sampled from a locomotive waiting line, while it was 40-60% for gravels sampled from a turnout area. The heavy metal removal efficiency exceeded 90% for copper and lead, while it was 65-80% for nickel and zinc. This system was found to be effective for the remediation of polluted ballast gravels.

Skin Disease Classification Technique Based on Convolutional Neural Network Using Deep Metric Learning (Deep Metric Learning을 활용한 합성곱 신경망 기반의 피부질환 분류 기술)

  • Kim, Kang Min;Kim, Pan-Koo;Chun, Chanjun
    • Smart Media Journal
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    • v.10 no.4
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    • pp.45-54
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    • 2021
  • The skin is the body's first line of defense against external infection. When a skin disease strikes, the skin's protective role is compromised, necessitating quick diagnosis and treatment. Recently, as artificial intelligence has advanced, research for technical applications has been done in a variety of sectors, including dermatology, to reduce the rate of misdiagnosis and obtain quick treatment using artificial intelligence. Although previous studies have diagnosed skin diseases with low incidence, this paper proposes a method to classify common illnesses such as warts and corns using a convolutional neural network. The data set used consists of 3 classes and 2,515 images, but there is a problem of lack of training data and class imbalance. We analyzed the performance using a deep metric loss function and a cross-entropy loss function to train the model. When comparing that in terms of accuracy, recall, F1 score, and accuracy, the former performed better.

A topic modeling analysis for Korean online newspapers: Focusing on the social perceptions of nurses during the COVID-19 epidemic period (토픽모델링을 이용한 한국 인터넷 뉴스의 간호사 관련 기사 분석: COVID-19 유행시기를 중점으로)

  • Chang, Soo Jung;Park, Sunah;Son, Yedong
    • The Journal of Korean Academic Society of Nursing Education
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    • v.28 no.4
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    • pp.444-455
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    • 2022
  • Purpose: This study explored the meaning of the social perceptions of nurses in online news articles during the coronavirus disease 2019 (COVID-19) pandemic. Methods: A total of 339 nurse-related articles published in Korean online newspapers from January 1 to December 31, 2020, were extracted by entering various combinations of OR and AND with the four words "Corona," "COVID," "Nursing," and "Nurse" as search keywords using BIGKinds, a news database provided by the Korea Press Foundation. The collected data were analyzed with a keyword network analysis and topic modeling using NetMiner 4. Results: The top keywords extracted from the nurse-related news articles were, in the following order, "metropolitan area," "protective clothing," "government," "task," and "admission." Four topics representing keywords were identified: "encouragement for dedicated nurses," "poor work environment," "front-line nurses working with obligation during the COVID-19 pandemic," and "nurses' efforts to prevent the spread of COVID-19." Conclusion: The media's attention to the dedication of nurses, the shortage of nursing resources, and the need for government support is encouraging in that it forms the public opinion necessary to lead to substantial improvements in treating nurses. The nursing community should actively promote policy proposals to improve treatment toward nurses by utilizing the net function of the media and proactively seek and apply strategies to improve the image of nurses working in various fields.

Transgenic lettuce (Lactuca sativa L.) with increased vitamin C levels using GalUR gene (GalUR 유전자를 이용한 비타민 C 증대 상추 (Lactuca sativa L.) 형질전환체 개발)

  • Lim, Mi-Young;Cho, Yi-Nam;Chae, Won-Ki;Park, Young-Soo;Min, Byung-Whan;Harn, Chee-Hark
    • Journal of Plant Biotechnology
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    • v.35 no.2
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    • pp.115-120
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    • 2008
  • L-Ascorbic acid (vitamin C) in vegetables is an essential component of human nutrition. The objective is to transform lettuce (Lactuca sativa L.) with GalUR gene that is involved in the vitamin C biosynthesis. The cotyledons of Hwoahong (Nongwoo Bio Co.) were used to induce the callus and shoot under the selection media with MS + 30 g/L Sucrose + 0.5 mg/L BAP + 0.1 mg/L NAA + 100 mg/L kanamycin + 200 mg/L lilacillin, pH 5.2. The shoot was developed from the cut side of the explants after 3 weeks on the selection media. We successfully transformed the lettuce with GaIUR gene and analyzed the levels of vitamin C. We found that some of the lettuce transgenic lines contained higher levels of vitamin C compared with the normal one (non-transformed). Especially, some of $T_1$ lettuces inserted by GalUR showed about $3{\sim}4$ times higher content of vitamin C compared to the non-transformed lettuce. This data support the previously work performed with GLOase transgenic $T_1$ lettuces from which several times higher content of vitamin C were identified. The $T_2$ lettuces with high content of vitamin C have been selected for further analysis.

The TNF Receptor Expressions in Cancer Cells Transfected with TNF-$\alpha$ cDNA Using Retroviral Vector (Retroviral vector를 이용한 종양괴사인자 (TNF-$\alpha$) 유전자 이입 암세포에서 종양괴사인자 수용체의 발현)

  • Lee, Hyuk-Pyo;Yoo, Chul-Gyu;Kim, Young-Whan;Shim, Young-Soo;Han, Sung-Koo
    • Tuberculosis and Respiratory Diseases
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    • v.44 no.6
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    • pp.1271-1284
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    • 1997
  • Background : Tumor necrosis factor(TNF) has been considered as an important candidate for cancer gene therapy based on its potent anti-tumor activity. However, since the efficiency of current techniques of gene transfer is not satisfactory, the majority of current protocols is aiming the in vitro gene transfer to cancer cells and re-introducing genetically modified cancer cells to host. In the previous study, it was shown that TNF-sensitive cancer cells transfected with TNF-$\alpha$ cDNA would become highly resistant to TNF, and the probability was shown that the acquired resistance to TNF might be associated with synthesis of some protective protein. Understanding the mechanisms of TNF-resistance in TNF-$\alpha$ cDNA transfected cancer cells would be an important step for improving the efficacy of cancer gene therapy as well as for better understandings of tumor biology. This study was designed to evaluate whether the levels of TNF receptor mRNA expression and soluble TNF receptor release from cancer cells are changed after TNF-$\alpha$ cDNA transfection. Method : We transfected TNF-$\alpha$ c-DNA to WEHI164(murine fibrosarcoma cell line), NCI-H2058(human mesothelioma cell line), A549(human non-small cell lung cancer cell line), ME180(human cervix cancer cell line) cells using retroviral vector(pLT12SN(TNF)) and confirm the expression of TNF with PCR, EUSA, MTT assay. Then we determined the TNF resistance of TNF-$\alpha$ cDNA transfected cells(WEHI164-TNF, NCIH2058-TNF, A549-TNF, ME180-TNF) and evaluated the TNF receptor mRNA expression with Northern blot analysis and soluble TNF receptor release with EUSA. Results : The TNF receptor mRNA expressions of parental cells and genetically modified cells were not significantly different. The soluble TNF receptor levels of media from genetically modified cells were lower than those from parental cells. Conclusion : The acquired resistance to TNF after TNF-$\alpha$ cDNA transfection may not be associated with the change in the TNF receptor and the soluble TNF receptor expression.

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A Characteristics of Visual Narrative Expression in Garden Design - Focused on the Taehwagang Garden Show 2018 - (정원디자인에 나타난 시각적 서술의 표현특성 - 2018 태화강 정원박람회 작품을 대상으로 -)

  • Kwon, Jin-Wook
    • Journal of the Korean Institute of Traditional Landscape Architecture
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    • v.37 no.3
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    • pp.108-118
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    • 2019
  • Appreciating gardens in garden show has its meaning in appreciating concepts and ideas of artists, hidden inside of garden, as formative arts, as well as the beauty of the nature. This study is aimed to understand the intension of artists in visual expression through formative media in the gardens by assessing structure of visual narrative in the space with 20 artworks among the ones presented in 2018 Taehwagang Garden Show. The formative structure is delivered as contents and forms through formative media and formative language. Thus, for analysis on the artworks, the researcher assessed expressive characteristics of the media, through visual and space language, that forms the formative structure in the contest of narrative structure expressed in the gardens and findings of the analysis are as follows. First, for intertextuality obtained through media image, most of the artworks delivered message through 'figure image.' This means, the concept is delivered as 'affinity of actual objects' through the media and associated 'meaning and meaning action' are expected. Second, the characteristics of signs to show symbolism in the gardens were categorized into 'icon'. 'index' and 'symbol'. The results showed that most of the artworks expressed common characteristics between image and meaning, using 'icon' and 'symbol'. Third, as space formation components, based on formative principles, the components of 'dominant' and 'subordinate' roles were defined as the key components for meaning delivery. Also, it was understood that 'space configuration with overlapped image' and 'space configuration with transparency' were adopted to strengthen conceptional layers. Forth, for space occupation types, there were mostly central hall type, corridor type and passage space type and for open space type, the entire space area was conceptualized, instead of certain object. The circulation line was defined in the frequency order of circular type, pass type and return type. The study on the expressive characteristics of visual narrative in garden design is meaningful as it could build base data for the method of spatial design for visual development of concepts in the future.

Cluster Cell Separation Algorithm for Automated Cell Tracking (자동 세포 추적을 위한 클러스터 세포 분리 알고리즘)

  • Cho, Mi Gyung;Shim, Jaesool
    • Transactions of the Korean Society of Mechanical Engineers B
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    • v.37 no.3
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    • pp.259-266
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    • 2013
  • An automated cell tracking system is used to automatically analyze and track the changes in cell behavior in time-lapse cell images acquired using a microscope with a cell culture. Clustering is the partial overlapping of neighboring cells in the process of cell change. Separating clusters into individual cells is very important for cell tracking. In this study, we proposed an algorithm for separating clusters by using ellipse fitting based on a direct least square method. We extracted the contours of clusters, divided them into line segments, and then produced their fitted ellipses using a direct least square method for each line segment. All of the fitted ellipses could be used to separate their corresponding clusters. In experiments, our algorithm separated clusters with average precisions of 91% for two overlapping cells, 84% for three overlapping cells, and about 73% for four overlapping cells.

Single memory based scan converter for embedded JPEG encoder (내장형 JPEG 압축을 위한 단일 메모리 기반의 스캔 순서 변환기)

  • Park Hyun-Sang
    • Journal of Broadcast Engineering
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    • v.11 no.3 s.32
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    • pp.320-325
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    • 2006
  • An image is partitioned into non-overlapping $8{\times}8$ blocks fer JPEG compression. A scan order converter is placed before the JPEG encoder to provide $8{\times}8$ blocks from the pixels in raster scan order. In general, its architecture requires two line memories for storing eight lines separately to allow the concurrent memory access by both the camera and JPEG processors. Although such architecture is simple to be implemented, it can be inefficient due to too excessive memory requirement as the image resolution increases. However, no deterministic addressing equation has been developed for scan conversion. In this paper, an effective memory addressing algorithm is proposed that can be devised only by adders and subtracters to implement a scan converter based on the single line memory.