• Title/Summary/Keyword: Time trend analysis

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Outlier prediction in sensor network data using periodic pattern (주기 패턴을 이용한 센서 네트워크 데이터의 이상치 예측)

  • Kim, Hyung-Il
    • Journal of Sensor Science and Technology
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    • v.15 no.6
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    • pp.433-441
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    • 2006
  • Because of the low power and low rate of a sensor network, outlier is frequently occurred in the time series data of sensor network. In this paper, we suggest periodic pattern analysis that is applied to the time series data of sensor network and predict outlier that exist in the time series data of sensor network. A periodic pattern is minimum period of time in which trend of values in data is appeared continuous and repeated. In this paper, a quantization and smoothing is applied to the time series data in order to analyze the periodic pattern and the fluctuation of each adjacent value in the smoothed data is measured to be modified to a simple data. Then, the periodic pattern is abstracted from the modified simple data, and the time series data is restructured according to the periods to produce periodic pattern data. In the experiment, the machine learning is applied to the periodic pattern data to predict outlier to see the results. The characteristics of analysis of the periodic pattern in this paper is not analyzing the periods according to the size of value of data but to analyze time periods according to the fluctuation of the value of data. Therefore analysis of periodic pattern is robust to outlier. Also it is possible to express values of time attribute as values in time period by restructuring the time series data into periodic pattern. Thus, it is possible to use time attribute even in the general machine learning algorithm in which the time series data is not possible to be learned.

An Analysis of Nursing Research on Pain Reported in Korea from 1970 to 1994 (통증 개념을 다룬 국내 간호 연구 분석)

  • 박정숙;박청자
    • Journal of Korean Academy of Nursing
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    • v.25 no.1
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    • pp.30-44
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    • 1995
  • This study aimed at analyzing the trend of re-search on pain in Korea, suggesting direction future pain research, and contributing to the use of pain interventions in nursing practice. Research studies on pain were selected from journals of medical and nursing schools, the Korean Nurse, the Korean Nurses' Academic Society Journal, the Central Journal of Medicine, the New Medical Journal, and from theses and dissertations, which were conducted between 1970 and 1994. The total number of the studies was 93. These studies were analyzed for 1) time of publication or presentation, 2) thesis for a degree or nondegree, 3) research design, 4) characteristics of subjects used in each study, 5) measurement tool, 6) types of correlated variables, 7) Korean terms for pain 8) types of nursing interventions, and 9) results of studies. The findings of the analysis can be summerized as follows : 1) The number of studies related to pain has increased rapidly since the early 1980's. The number of experimental research studies related to pain has increased chronologically, but the number of survey research studies related to pain was highest from 1981 to 1985, after that it decreased slowly. 2) The subjects in 19 studies were healthy people and, in 73 studies, patients with various illnesses. Thirty two studies were conducted with surgical patients. 3) Sixty one pain research studies were done for a thesis for a degree and 32 were nondegree research studies. 4) As measurement tools for pain, self- report pain scales were used in 54 studies and more than two tools were used in 28 studies. In the experimental studies, the trend was to use more than two tools. And in the nonexperirnental studies, the trend was to use self-report pain scales only. 5) There were 11 correlational studies. In these studies, the trend was to study anxiety, depression and variables such as intravenous infusion as related to pain.6) In the thirty six experimental studies, the effects of 16 types of nursing interventions weretested. Teaching and information, and relaxation technique were the most popular interventions for pain. 7) In eighteen methodological studies, the majority were studies testing the validity and re-liability of Dr. Lee's Korean Pain Rating Questionnaire. The following suggestions are made based on the above findings : 1) The patterns of these studies related to pain in Korea need to be compared with trends in other countries. 2) Meta - analysis should be done to analyze and integrate the results of various studies. 3) This analysis of pain research is needed to identify the present trend of pain research and to suggest the direction of future pain research, so these patterns of studies should be done in 5 to 10 year intervals. 4) More replicated pain research is needed to prove the effect of nursing interventions and more qualitative research on pain is needed to identify indepth the meaning of pain. 5) Pain researchers should make an effort to apply research result in various clinical settings and try to carry out team research with clinical nurses or with other multidiscipinary researchers.

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Enhancing Classification Performance of Temporal Keyword Data by Using Moving Average-based Dynamic Time Warping Method (이동 평균 기반 동적 시간 와핑 기법을 이용한 시계열 키워드 데이터의 분류 성능 개선 방안)

  • Jeong, Do-Heon
    • Journal of the Korean Society for information Management
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    • v.36 no.4
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    • pp.83-105
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    • 2019
  • This study aims to suggest an effective method for the automatic classification of keywords with similar patterns by calculating pattern similarity of temporal data. For this, large scale news on the Web were collected and time series data composed of 120 time segments were built. To make training data set for the performance test of the proposed model, 440 representative keywords were manually classified according to 8 types of trend. This study introduces a Dynamic Time Warping(DTW) method which have been commonly used in the field of time series analytics, and proposes an application model, MA-DTW based on a Moving Average(MA) method which gives a good explanation on a tendency of trend curve. As a result of the automatic classification by a k-Nearest Neighbor(kNN) algorithm, Euclidean Distance(ED) and DTW showed 48.2% and 66.6% of maximum micro-averaged F1 score respectively, whereas the proposed model represented 74.3% of the best micro-averaged F1 score. In all respect of the comprehensive experiments, the suggested model outperformed the methods of ED and DTW.

Characteristics of Long-term Water Quality Trend of Dongrae Hot Spring (동래온천의 장기적인 수질 변동 특성)

  • Jeon, Hang-Tak;Hamm, Se-Yeong;Lee, Cholwoo;Lee, Jong-Tae;Lee, Jeong Rak
    • The Journal of Engineering Geology
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    • v.30 no.3
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    • pp.379-397
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    • 2020
  • In this study, Long-term change of water quality in Donrae Hot Spring was characterized using water quality data from 1922 to 2019. According to Mann-Kendall analysis and Sen's slope using long-term water quality data of Dongnae Hot Spring from 1922 to 2019, temperature, Ca, SiO2, and HCO3 show an increasing trend whereas EC, Na, K, Mg, Cl, and SO4 show a decreasing trend or negligible trend. In addition, the water type of Dongnae Hot Spring stably belongs to Na-Cl type over time. The spatial distributions of water temperature and chemical constituents in 2004, 2009, 2014, and 2019 show variable patterns with showing some difference depending on sampling locations in different years. These results indicate that despite the long-term pumping of the hot spring water, the water quality is quite stable during the entire study period.

A Study on the Current Trend about Research of School Facilities (학교건축계획 연구의 동향에 관한 고찰)

  • Rieu, Ho-Seoup;Choi, Byung-Kwan
    • Journal of the Korean Institute of Educational Facilities
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    • v.12 no.5
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    • pp.35-46
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    • 2005
  • It has been almost 20 years since Korea has started the research of school facilities, but there has not been any form of organized information or studies done about such a trend of the research. In this respect, this research places its focus on categorizing 44 policy studies initiated and proceeded by different organizations for last twenty years(1983-2004) and 186 volumes of the research about education facility plans and projects released by journal of Architectural Institute of Korea and journal of Korean Institute of Educational Facilities in 17 subjects of this study. It also concentrates on organizing data based on different levels of schools and periods of time as well as understanding the trend. The result of this research is followings. Considering every volume of the paper and the subjects that have previously been treated in those papers, the trend of this study is divided into the first stage of research period(1983-1993), the second stage of research period(1994-2001), and the third stage of research period(2002-present). Of all the papers, there has been the most number of papers objecting elementary schools(110 volumes, 56.1%), and most of them focused on space formation, size, and the present situation of utilization of each classroom in elementary schools. In the meantime, the studies about educational information, application of the media, space formation and size under teachers'consent, two-dimension types, a design of outdoor space(including gardens), the present situation of utilization, remodeling of school facilities, an evaluation of space and recognition-awareness analysis have been mainly done since 1995. Such a result mentioned above provides a sense of understanding about a level of studies about education facilities in our country, and as a basic source for future guidelines of studies and contents, in my personal opinion, it contains a high level of application.

An Emerging Technology Trend Identifier Based on the Citation and the Change of Academic and Industrial Popularity (학계와 산업계의 정보 대중성 변동과 인용 정보에 기반한 최신 기술 동향 식별 시스템)

  • Kim, Seonho;Lee, Junkyu;Rasheed, Waqas;Yeo, Woondong
    • Journal of Korea Technology Innovation Society
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    • v.14 no.spc
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    • pp.1171-1186
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    • 2011
  • Identifying Emerging Technology Trends is crucial for decision makers of nations and organizations in order to use limited resources, such as time, money, etc., efficiently. Many researchers have proposed emerging trend detection systems based on a popularity analysis of the document, but this still needs to be improved. In this paper, an emerging trend detection classifier is proposed which uses both academic and industrial data, SCOPUS and PATSTAT. Unlike most pre-vious research, our emerging technology trend classifi-er utilizes supervised, semi-automatic, machine learning techniques to improve the precision of the results. In addition, the citation information from among the SCOPUS data is analyzed to identify the early signals of emerging technology trends.

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Trend Analysis of Pet Plants Before and After COVID-19 Outbreak Using Topic Modeling: Focusing on Big Data of News Articles from 2018 to 2021

  • Park, Yumin;Shin, Yong-Wook
    • Journal of People, Plants, and Environment
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    • v.24 no.6
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    • pp.563-572
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    • 2021
  • Background and objective: The ongoing COVID-19 pandemic restricted daily life, forcing people to spend time indoors. With the growing interest in mental health issues and residential environments, 'pet plants' have been receiving attention during the unprecedented social distancing measures. This study aims to analyze the change in trends of pet plants before and during the COVID-19 pandemic and provide basic data for studies related to pet plants and directions of future development. Methods: A total of 2,016 news articles using the keyword 'pet plants' were collected on Naver News from January 1, 2018 to August 15, 2019 (609 articles) and January 1, 2020 to August 15, 2021 (1,407 articles). The texts were tokenized into words using KoNLPy package, ultimately coming up with 63,597 words. The analyses included frequency of keywords and topic modeling based on Latent Dirichlet Allocation (LDA) to identify the inherent meanings of related words and each topic. Results: Topic modeling generated three topics in each period (before and during the COVID-19), and the results showed that pet plants in daily life have become the object of 'emotional support' and 'healing' during social distancing. In particular, pet plants, which had been distributed as a solution to prevent solitary deaths and depression among seniors living alone, are now expanded to help resolve the social isolation of the general public suffering from COVID-19. The new term 'plant butler' became a new trend, and there was a change in the trend in which people shared their hobbies and information about pet plants and communicated with others in online. Conclusion: Based on these findings, the trend data of pet plants before and after the outbreak of COVID-19 can provide the basis for activating research on pet plants and setting the direction for development of related industries considering the continuous popularity and trend of indoor gardening and green hobby.

The Changing Aspect of Appearances in Male Fashion Magazines (남성패션잡지에 나타난 외모의 변화양상)

  • Park, Su-Jin;Park, Kil-Soon
    • Korean Journal of Human Ecology
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    • v.17 no.1
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    • pp.105-114
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    • 2008
  • This study aims on observing the social recognition and its aspects for men taking care of their outer appearances at current point where men are rapidly rising as the main consumer in the beauty industry while their interest for outer appearances are increasing. Therefore, we observed the overall trend and changes in social recognition for male looks by analyzing the contents of articles in fashion magazines that play the critical role of spreading the trend while suggesting and delivering the diverse trend changes to the public to correspond to the individual and concrete demands of certain class segmented into gender, age, hobby, and more. As a result, articles related to outer appearances were divided into fashion, cosmetic and skin, hair and scalp, body figure care, cosmetic surgery, and others, and among them, fashion category took up the highest ratio. Also, articles related to outer appearances increased even more according to the change in time, where articles related to fashion and hair increased while articles of other categories decreased.

The External Deconstruction Trend Expressed in the Works of Jean Paul Gaultier (Jean Paul Gaultier 작품에 나타난 외적 해체경향)

  • Choi, Young-Ok
    • Fashion & Textile Research Journal
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    • v.4 no.4
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    • pp.327-338
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    • 2002
  • The analysis and examination of this study are focussed on the external deconstruction trend expressed in the works of Jean Paul Gaultier. The external deconstruction is a way of expression faithful to the literal meaning of 'deconstruction' and is the applied case of exposure, destruction, poverty, and decomposition as they are. The method and scope of this study are from 1980's to present, and the followings are the results of this examination focussed on the various literature of philosophy, aesthetics and literary criticism, and the domestic and foreign fashion journals. The exposure phenomena through the deconstruction expressed repeatedly in the works of Gaultier deconstructed the fixed idea of 'the inner wear should be worn inside the outer wear' and at the same time denied the dichotomical interpretation of the exposure and suppression, the traditional beauty and decadent beauty, the chastity and unchastity, the asceticism and sexuality, and obscured the notion of the inner wear and outer wear. The destructive deconstruction expressed in the works of Jean Paul Gaultier introduced the elements such as hippy, punk, and kitsch, slashed before making dresses, crumpled unseemly like wastepaper, or made dresses with textures like paper scraps, and through destroying textures, yielded shock effects and tension. Poverty, through borrowing from the outwardly poor-looking elements of design, i.e. the patch work, decolor, dye, fading, fringing, incompletion, and handmadeness, liberated dresses and their ornaments from the outside. The traditional dresses were dresses having certain forms with formative beauty, but Gaultier disassembled dresses and raised questions about the logic of dresses themselves.

Hydrodynamic Modeling of Saemangeum Reservoir and Watershed using HSPF and EFDC (HSPF-EFDC를 이용한 새만금호와 유역의 수리 변화 모의)

  • Shin, Yu-Ri;Jung, Ji-Yeon;Choi, Jung-Hoon;Jung, Kwang Wook
    • Journal of Korean Society on Water Environment
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    • v.28 no.3
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    • pp.384-393
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    • 2012
  • Saemangeum lake is an artificial lake created by reclamation works and an estuary embankment since 2006. The sea water flows into the lake by the operation of two sluice gates, and the freshwater enters into the lake by the upper streams. For the reflection of hydrology and hydrodynamics effects in Saemangeum area, a hydrodynamics model was developed by connecting Hydrological Simulation Program with Fortran (HSPF) and Environmental Fluid Dynamic Code (EFDC). The HSPF was applied to simulate the freshwater discharge from the upper steam watershed, and the EFDC was performed to compute water flow, water temperature, and salinity based on time series from 2008 to 2009. The calibration and validation are performed to analyze horizontal and vertical gradients. The horizontal trend of model simulation results is reflected in the trend of observed data tolerably. The vertical trend is conducted an analysis of seasonal comparisons because of the limitation of vertically observed data. Water temperature reflects on the seasonal changes. Salinity has an effect on the near river input spots. The impact area of salinity is depending on the sea water distribution by gate operation, mainly.