• 제목/요약/키워드: Reference data library

검색결과 162건 처리시간 0.026초

Interactive Digital Signage에 광고의 마케팅이 소비 경향에 대한 연구 (Research on the Impact of interactive Digital Signage Advertising on Consumption Tendency)

  • 양파
    • 디지털융복합연구
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    • 제18권4호
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    • pp.411-417
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    • 2020
  • 본 연구는 옥외 Interactive Digital Signage 의 Interactive 광고를 연구 대상으로 하고, 옥외 Interactive Digital Signage 의 광고를 전통적인 형태의 광고와 비교하여 소비하는 경향에 미치는 영향을 연구한다. 문헌 자료와 실 사례 분석의 연구방법으로 선행 연구는 아울러 인터넷 및 인공지능의 발전이 Interactive Digital Signage 광고 생산에 미치는 영향을 분석하였다. 소비 추세와 습관을 결합하여 Interactive Digital Signage 광고의 특징과 199IT Interactive Digital Signage 인터넷 자원 데이터 창고의 데이터를 근거로 하여 실례 분석 방법으로 Interactive의 광고에 소비자의 소비 경향 영향의 3가지 요인이 있다는 것을 제출한다. 목적은 이후 기업이 Interactive Digital Signage를 사용하여 광고 투자에 대한 참고를 진행한다. 기업을 도와 생산품의 판매량을 높이고, 상품 가치와 거래처에게 브랜드에 대한 신뢰도를 높인다.

도서관경영(圖書館經營)에 있어서의 시스팀 분석기법응용(分析技法應用)에 관한 연구(硏究) (A Study on Systems Analysis Applied to Library Management)

  • 권기원
    • 한국비블리아학회지
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    • 제2권1호
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    • pp.178-210
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    • 1974
  • It needs to put into practice the systems analysis in the analysis of some operations and status of library for the purpose of systematizing the work of reforming in the new easier form to process, to storage, to retrieve and to make use of the increasing informations and data of library. In this study, some of systems which are generally using in every library was caught in the case study of K university library. Having analyzed them with the two methods of the flowcharting and mathematical analysis, we found the obstructive factors in operation. As the result of this research, it was gained the new system as the alternative one. A. Alternative System B. Advantages of alternative systems 1. In the reference room When it converts the present system into the new system, it can profit 6.771 won/user (13.815won-7.044won=6.771 won). Therefore, a half the average required cost of the present system can be saved. If this saving would be alloted for the cost 33,000won required to make the cataloging cards, it would be taken for 94 days (33,000 won ${\div}$ 6,771 won/user=4,874users. 4,874users ${\div}$ 52users/day=94days) to get it. The saving cost/year by the new system will be 95,417 won, and in the first year the initial cost (33,000won) reduces the saving cost to 62,417won. 2. In the periodical room The average required time for using the materials of the present system is 17 minutes/user and the average required cost/user is 23.775won, while the average required time of the new system is 4 minutes and the average required cost/user is 5.33won. Therefore, the new system has profit 4 times of the present system. Accordingly, it occurs when the dispersed periodical materials get together. 3. In the classification and cataloging When one processes - the oriental books - by the Linear Programming Technique, the maximum of the process can be increased from 11.6 volumes per librarian of the present system to 12 volumes per librarian of the new system increased 0.4 volume in a day, and cataloging by the manual printer can be shorten from 3 minutes per card of the present system to 1.5 minutes per card of the new system. Consequently, we can complete the other operations (books equipment, updating of cataloging cards, etc.) with 141 minutes which are saved in the course of the afore-mentioned works. 4. In the status of collections The average growth rate of 4 years from 1968 to 1971 is 9.825 %, and that of the purchased materials is 6.2% similar to the advanced nations, but it has the different position from 215,000 volumes by the Standard Degree for Establishment of College and University, and the difference between the total collections 151,671 volumes and Dunns' growth model ($N_t=N_oe^{-at}$) claimed by Leimkuhler 155,297 volumes in 1971 is 3,626 volumes, and for the purpose of compensation the difference, we found the fact that it needs to have the increased budget of 24~30% per year, Thus, if the budget of 24~30 % per year. Thus, if the budget would be increased per year as the rate of the afore-mentioned figure, it would be reached at the Standard Degree for Establishment of College and University in 1975, and thereafter, it can be decreased to the lebel which is able to maintain the growth rate of 5~6% per year.

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일본국립국회도서관의 한국 관련 주제명 전거데이터 분석 (An Analysis of Subject Authorities Related to Korea in the National Diet Library of Japan)

  • 김정현
    • 한국도서관정보학회지
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    • 제52권3호
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    • pp.49-72
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    • 2021
  • NDL 전거시스템을 고찰하고 이를 바탕으로 NDL 전거데이터 가운데 한국 관련 주제명 전거데이터를 추출하여 주제명의 현황 및 특성을 분석하였으며, 결과를 요약하면 아래와 같다. 첫째, NDL의 한국 관련 주제명 전거데이터는 전거표목 2,205건, 참조 938건을 포함하여 전체 3,143건이다. 이 가운데 사회과학이 52.4%로 절반 이상을 차지하고 있으며, 개별 학문별로 경제학 전거데이터가 552건 17.6%로 가장 많았다. 둘째, 일본에 의해 유발되었거나 직접적인 연관이 있는 역사적 사건의 주제명은 대부분 일본의 시각에서 전거데이터를 기술하고 있으며, 한국에 익숙한 용어는 주로 전거표목이 아니라 참조에 기재되어 있다. 셋째, 한국적인 특성이나 역사적 사건을 나타내는 주제명이 매우 부족하며, 대부분이 일반적인 성격의 주제명으로 표현되어 있다. 넷째, 국가명에 있어 남한과 북한을 함께 통칭하는 용어를 '조선(朝鮮)'으로 하고 있어 여전히 우리나라를 조선시대에 머물게 하고 있다. 시대세목에 있어 '대한민국(大韓民国)'과 '조선민주주의인민공화국(朝鮮民主主義人民共和国)' 시대인 1948년 이후의 역사를 세분할 필요가 있으며, '발해(渤海)'는 중국 역사로 간주하고 있으나, 엄연히 한국 역사의 일부이므로 한국의 시대세목에 추가되어야 한다.

FRBR과 비교를 통한 LRM의 특징 및 적용방안 (LRM's Characterics and Applications Plan Through Comparing with FRBR)

  • 이미화
    • 한국도서관정보학회지
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    • 제53권2호
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    • pp.355-375
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    • 2022
  • 이 연구에서는 FR 모형과 LRM을 개체, 속성, 관계 측면에서 비교 분석하여 목록 관련 표준 및 개별 시스템에서 LRM을 수용할 수 있도록 LRM 특성과 그 적용방안을 모색하고자 한다. LRM 특성에 따른 적용방안으로 다음을 제시하였다. 첫째, LRM에서 가족, 단체, 식별자, 전거형접근점, 개념, 대상, 사건, 기관, 규칙의 개체가 삭제되었지만, LRM을 적용하려는 표준과 시스템에서 필요시 하위 개체를 정의하여 개체를 확장해야 한다. 둘째, 링크드데이터를 위해 LRM에서는 속성 요소가 관계로 변경되면서 속성이 많이 감소하였으나, LRM을 수용하려는 표준과 시스템에서는 속성을 세분하여 확장해야 한다. 특히, LRM에서는 유사한 기능을 갖거나 여러 개체에서 반복되는 속성과 자료에 특화된 속성이 포괄적인 일반화된 속성명으로 통합되었기 때문에 표준 및 개별 시스템에서는 보다 구체적이고 세부적인 속성명을 명확하게 제시해야 하며, 속성에 해당하는 어휘인코딩스킴도 개발되어야 한다. 셋째, 관계가 속성에 비해서는 증가되었으나 관계 자체가 추상적이기 때문에, 관계는 세목화 및 다단계 관계를 통해 관계가 확장되어야 한다. 본 연구는 목록 관련 표준 및 시스템에서 LRM을 적용하는 경우 적용방안 모색에 활용될 수 있을 것이다.

Evaluation of Glucosinolate Content and Composition Contained in Korean Leaf Mustard (Brassica juncea var. integrifolia) Germplasm Using Liquid Chromatography Electrospray Ionization Mass Spectrometry(LC-ESI-MS/MS)

  • Kim, Jung-Bong;Kim, Heon-Woong;Ko, Ho-Cheol;Kim, So-Young;Kim, Se-Na;Jin, Yong-Xie;Kim, Jae-Hyun
    • 한국자원식물학회:학술대회논문집
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    • 한국자원식물학회 2010년도 정기총회 및 춘계학술발표회
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    • pp.18-18
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    • 2010
  • Glucosinolates(GSLs) are major secondary products($\beta$-thioglucoside N-hydroxysulfates) containing sulfates that are found mainly in Cruciferae family such as cabbage, broccoli, radish, turnip, kale, mustard and rapeseed as the important crops in agronomic and economic aspects. Especially, isothiocyanates(ITCs) have been shown to inhibit carcinogenesis with regulation cancer cell development followed by regulating target enzymes, inducing cell cycle arrest and apoptosis against various human cancer cell lines. Total desulfo(DS)-GSLs of nine type in 210 Korean leaf mustard accessions were isolated and confirmed using electrospray ionization mass spectrometric(ESI-MS/MS) method and DS-GSLs powerful library maked from several reference data. The isolated individual DS-GSLs were identified by removed $\beta$-D-glucopyranose residue ($C_6H_{11}O_5$, MW 163) from MS/MS data. Among them sinigrin(41.7%), glucoiberverin(21.7%) and gluconasturtiin(12.6%) were major components, Especially, despite gluconapin was minor component, accession K046197-1 and K046197-2 showed higher content of 4.11 and 3.31 mg/g(DW), respectively. The total GSLs contents in 210 accessions were ranged from 5.3 to 23.2 mg/g(DW) with a mean value of 13.0 mg/g(DW). As a result of principal component analysis(PCA), the individual GSLs loading plots were composed of three groups and components belonged to each group showed correlationship in quantitative pattern.

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Cephalometric predictors of treatment outcome with mandibular advancement devices in adult patients with obstructive sleep apnea: a systematic review

  • Alessandri-Bonetti, Giulio;Ippolito, Daniela Rita;Bartolucci, Maria Lavinia;D'Anto, Vincenzo;Incerti-Parenti, Serena
    • 대한치과교정학회지
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    • 제45권6호
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    • pp.308-321
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    • 2015
  • Objective: The efficacy of mandibular advancement devices (MADs) in the treatment of obstructive sleep apnea (OSA) ranges between 42% and 65%. However, it is still unclear which predictive factors can be used to select suitable patients for MAD treatment. This study aimed to systematically review the literature on the predictive value of cephalometric analysis for MAD treatment outcomes in adult OSA patients. Methods: The MEDLINE, Google Scholar, Scopus, and Cochrane Library databases were searched through December 2014. Reference lists from the retrieved publications were also examined. English language studies published in international peer-reviewed journals concerning the predictive value of cephalometric analysis for MAD treatment outcome were considered for inclusion. Two review authors independently assessed eligibility, extracted data, and ascertained the quality of the studies. Results: Fifteen eligible studies were identified. Most of the skeletal, dental, and soft tissue cephalometric measurements examined were widely recognized as not prognostic for MAD treatment outcome; however, controversial and limited data were found on the predictive role of certain cephalometric measurements including cranial base angle, mandibular plane angle, hyoid to mandibular plane distance, posterior nasal spine to soft-palate tip distance, anterior nasal spine to epiglottis base distance, and tongue/oral cross sectional area ratio thus justifying additional studies on these parameters. Conclusions: Currently available evidence is inadequate for identification of cephalometric parameters capable of reliably discriminating between poor and good responders to MAD treatment. To guide further research, methodological weaknesses of the currently available studies were highlighted and possible reasons for their discordant results were analyzed.

MicroRNAs and periodontal disease: a qualitative systematic review of human studies

  • Mico-Martinez, Pablo;Alminana-Pastor, Pedro J.;Alpiste-Illueca, Francisco;Lopez-Roldan, Andres
    • Journal of Periodontal and Implant Science
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    • 제51권6호
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    • pp.386-397
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    • 2021
  • Purpose: MicroRNAs (miRNAs) are epigenetic post-transcriptional regulators that modulate gene expression and have been identified as biomarkers for several diseases, including cancer. This study aimed to systematically review the relationship between miRNAs and periodontal disease in humans, and to evaluate the potential of miRNAs as diagnostic and prognostic biomarkers of disease. Methods: The review was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines (reference number CRD42020180683). The MEDLINE, Scopus, Cochrane Library, Embase, Web of Science, and SciELO databases were searched for clinical studies conducted in humans investigating periodontal diseases and miRNAs. Expression levels of miRNAs across the different groups were analysed using the collected data. Results: A total of 1,299 references were identified in the initial literature search, and 23 articles were finally included in the review. The study designs were heterogeneous, which prevented a meta-analysis of the data. Most of the studies compared miRNA expression levels between patients with periodontitis and healthy controls. The most widely researched miRNA in periodontal diseases was miR-146a. Most studies reported higher expression levels of miR-146a in patients with periodontitis than in healthy controls. In addition, many studies also focused on identifying target genes of the differentially expressed miRNAs that were significantly related to periodontal inflammation. Conclusions: The results of the studies that we analysed are promising, but diagnostic tests are needed to confirm the use of miRNAs as biomarkers to monitor and aid in the early diagnosis of periodontitis in clinical practice.

Recurrent Neural Network Modeling of Etch Tool Data: a Preliminary for Fault Inference via Bayesian Networks

  • Nawaz, Javeria;Arshad, Muhammad Zeeshan;Park, Jin-Su;Shin, Sung-Won;Hong, Sang-Jeen
    • 한국진공학회:학술대회논문집
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    • 한국진공학회 2012년도 제42회 동계 정기 학술대회 초록집
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    • pp.239-240
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    • 2012
  • With advancements in semiconductor device technologies, manufacturing processes are getting more complex and it became more difficult to maintain tighter process control. As the number of processing step increased for fabricating complex chip structure, potential fault inducing factors are prevail and their allowable margins are continuously reduced. Therefore, one of the key to success in semiconductor manufacturing is highly accurate and fast fault detection and classification at each stage to reduce any undesired variation and identify the cause of the fault. Sensors in the equipment are used to monitor the state of the process. The idea is that whenever there is a fault in the process, it appears as some variation in the output from any of the sensors monitoring the process. These sensors may refer to information about pressure, RF power or gas flow and etc. in the equipment. By relating the data from these sensors to the process condition, any abnormality in the process can be identified, but it still holds some degree of certainty. Our hypothesis in this research is to capture the features of equipment condition data from healthy process library. We can use the health data as a reference for upcoming processes and this is made possible by mathematically modeling of the acquired data. In this work we demonstrate the use of recurrent neural network (RNN) has been used. RNN is a dynamic neural network that makes the output as a function of previous inputs. In our case we have etch equipment tool set data, consisting of 22 parameters and 9 runs. This data was first synchronized using the Dynamic Time Warping (DTW) algorithm. The synchronized data from the sensors in the form of time series is then provided to RNN which trains and restructures itself according to the input and then predicts a value, one step ahead in time, which depends on the past values of data. Eight runs of process data were used to train the network, while in order to check the performance of the network, one run was used as a test input. Next, a mean squared error based probability generating function was used to assign probability of fault in each parameter by comparing the predicted and actual values of the data. In the future we will make use of the Bayesian Networks to classify the detected faults. Bayesian Networks use directed acyclic graphs that relate different parameters through their conditional dependencies in order to find inference among them. The relationships between parameters from the data will be used to generate the structure of Bayesian Network and then posterior probability of different faults will be calculated using inference algorithms.

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초분광 영상을 이용한 토지피복 분류 평가 (The Evaluation of on Land Cover Classification using Hyperspectral Imagery)

  • 이근상;이강철;고신영;최연웅;조기성
    • 지적과 국토정보
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    • 제44권2호
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    • pp.103-112
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    • 2014
  • 본 연구의 목적은 토지와 물이 포함된 지역에서 초분광 영상을 이용한 토지피복 분류 가능성을 제시하는데 있다. CASI-1500 항공 초분광 영상을 통해 취득한 초분광 영상에 대해 전처리 작업으로서 대기보정을 수행한 후, 대기보정 전 후에서 몇 개의 토지피복 클래스에 대해 대기보정 효과가 비교 분석되었다. 항공사진과 수치지형도와 같은 참조자료로 활용하여 초분광 영상에 의한 토지피복 분류결과를 분석한 결과, 최대우도법에서는 약 67.0%의 전체정확도를 나타내었으며, 최소거리법은 52.4%의 전체정확도를 보였다. 또한 도로, 밭, 비닐하우스에서는 토지피복 분류의 생산자 정확도가 높게 나타났으나, 하천, 산지, 초지지역에서는 매우 복잡한 객체로 구성되어 있기 때문에 토지피복 분류의 생산자 정확도가 낮게 나타났다. 따라서 향후에는 특정객체 분류를 위한 최적의 밴드선별과 객체 고유의 분광특성을 고려한 분광 라이브러리를 구축하는 연구가 필요하다.

GC-MS 기반 대사체학 기술을 응용한 참당귀의 산지비교분석 (Comparative Analysis of Cultivation Region of Angelica gigas Using a GC-MS-Based Metabolomics Approach)

  • 강귀보;임재윤
    • 한국약용작물학회지
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    • 제24권2호
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    • pp.93-100
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    • 2016
  • Background: A set of logical criteria that can accurately identify and verify the cultivation region of raw materials is a critical tool for the scientific management of traditional herbal medicine. Methods and Results: Volatile compounds were obtained from 19 and 32 samples of Angelica gigas Nakai cultivated in Korea and China, respectively, by using steam distillation extraction. The metabolites were identified using GC/MS by querying against the NIST reference library. Data binning was performed to normalize the number of variables used in statistical analysis. Multivariate statistical analyses, such as Principal Component Analysis (PCA), Partial Least Squares-Discriminant Analysis (PLS-DA), and Orthogonal Partial Least Squares-Discriminant Analysis (OPLS-DA) were performed using the SIMCA-P software. Significant variables with a Variable Importance in the Projection (VIP) score higher than 1.0 as obtained through OPLS-DA and those that resulted in p-values less than 0.05 through one-way ANOVA were selected to verify the marker compounds. Among the 19 variables extracted, styrene, ${\alpha}$-pinene, and ${\beta}$-terpinene were selected as markers to indicate the origin of A. gigas. Conclusions: The statistical model developed was suitable for determination of the geographical origin of A. gigas. The cultivation regions of six Korean and eight Chinese A. gigas. samples were predicted using the established OPLS-DA model and it was confirmed that 13 of the 14 samples were accurately classified.