• Title/Summary/Keyword: Trend graph

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Technology and Market Trends on High Speed Router (초고속 라우터 기술산업동향)

  • Kim Kang Hoe;Yeo Woon Dong;Yoo Jae Young;Hong Sung Hwa
    • Proceedings of the IEEK Conference
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    • 2004.06a
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    • pp.233-236
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    • 2004
  • With the internet(World Wide Web) widespread among people after 1995, Information Communication Network, which is basic structure of the internet, is rapidly changing into fiber optics communication. The information conveyed through the internet is being diversified - from simple information based on text to bulky multimedia information such as auido & video data. So the demand for higher speed, hish storage Router is on the crease. This research aims to analyze the general trend of the patent by systematical, multilateral and segmented analysis of the technology's flow and trend, the present technological position of status and the distribution map of the technology by country, technology area using chart and graph.

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Deterioration Analysis for High Voltage Motor Using Insulation Diagnostic Database Program (절연진단 데이타베이스 프로그램을 이용한 고압전동기 열화 분석)

  • Kong, Tae-Sik;Kim, Hee-Dong;Lee, Young-Jun;Ju, Yong-Ho
    • Proceedings of the KIEE Conference
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    • 2005.07e
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    • pp.100-102
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    • 2005
  • This paper is purpose to introduce the database management program of insulation tests for high voltage rotating machines. KEPRI has carried out insulation tests for high voltage equipment since 1998, the number of tests grow larger every year. It is difficult to manage the numerous test results, so we developed the insulation diagnostic database program. The features of this program are an easy-search test result and making a graph of AC, tan${\Delta}$ test. the most useful function is the trend management. Using the trend function, we can find the aging deterioration for high voltage machines easily.

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Analysis of Research Trends in Journal of Korean Society for Quality Management by Text Mining Processing (텍스트 마이닝 처리로 품질경영학회지 연구동향 분석)

  • Ree, Sangbok
    • Journal of Korean Society for Quality Management
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    • v.47 no.3
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    • pp.597-613
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    • 2019
  • Purpose: The purpose of this study is to analyze the trend of quality research by analyzing the entire JKSQM(Journal of the Korean Society for Quality Management). Methods: This study is to analyze the frequency of words used in the abstract of the all JKSQM by applying the text mining processing. We use wordcrowd among text mining techniques. Results: 22 words of high frequency were presented in the abstract of the paper published in the JKSQM for 42 years. The frequency of words was shown on a 10 year basis, and the four important words were plotted on a change graph for each Vol. Frequent words of each Vol. are added in the appendix. Conclusion: The main research results are as follows. First, there has been no significant change in research trends over the last 40 years. Second, the early SQC words have been widely used, and since 1990, many words such as service-oriented words have been used, indicating a change in the times. Third, the use of the words of the 4th industrial revolution since 2010 is weak. In the above analysis, the trend of quality research in Korea is within the quality category and can be considered conservative. Now, it is expected that everything will be changed in the period of the 4th Industrial Revolution, and it is time to study the direction of quality in Korea.

Lower cellular metabolic power can be an explanation for obesity trend in Tae-Eum type: hypothesis and clinical observation

  • Shim, Eun Bo;Leem, Chae Hun;Kim, Joong Jae;Kim, Jong Yeol
    • Integrative Medicine Research
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    • v.6 no.3
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    • pp.254-259
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    • 2017
  • Background: Those classified as Tae-Eum (TE)-type people in Sasang constitutional medicine (SCM) are prone to obesity. Although extensive clinical observations have confirmed this tendency, the underlying physiological mechanisms are unknown. Here, we propose a novel hypothesis using integrative physiology to explain this phenomenon. Methods: Hypoactive lung function in the TE type indicates that respiration is attenuated at the cellular level - specifically, mitochondrial oxygen consumption. Because a functional reduction in cellular energy metabolism is suggestive of intrinsic hypoactivity in the consumption (or production) of metabolic energy, we reasoned that this tendency can readily cause weight gain via an increase in anabolism. Thus, this relationship can be derived from the graph of cellular metabolic power plotted against body weight. We analyzed the clinical data of 548 individuals to test this hypothesis. Results: The statistical analysis revealed that the cellular metabolic rate was lower in TEtype individuals and that their percentage of obesity (body mass index >25) was significantly higher compared to other constitutional groups. Conclusion: Lower cellular metabolic power can be an explanation for the obesity trend in TE type people.

Research Trends of Health Recommender Systems (HRS): Applying Citation Network Analysis and GraphSAGE (건강추천시스템(HRS) 연구 동향: 인용네트워크 분석과 GraphSAGE를 활용하여)

  • Haryeom Jang;Jeesoo You;Sung-Byung Yang
    • Journal of Intelligence and Information Systems
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    • v.29 no.2
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    • pp.57-84
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    • 2023
  • With the development of information and communications technology (ICT) and big data technology, anyone can easily obtain and utilize vast amounts of data through the Internet. Therefore, the capability of selecting high-quality data from a large amount of information is becoming more important than the capability of just collecting them. This trend continues in academia; literature reviews, such as systematic and non-systematic reviews, have been conducted in various research fields to construct a healthy knowledge structure by selecting high-quality research from accumulated research materials. Meanwhile, after the COVID-19 pandemic, remote healthcare services, which have not been agreed upon, are allowed to a limited extent, and new healthcare services such as health recommender systems (HRS) equipped with artificial intelligence (AI) and big data technologies are in the spotlight. Although, in practice, HRS are considered one of the most important technologies to lead the future healthcare industry, literature review on HRS is relatively rare compared to other fields. In addition, although HRS are fields of convergence with a strong interdisciplinary nature, prior literature review studies have mainly applied either systematic or non-systematic review methods; hence, there are limitations in analyzing interactions or dynamic relationships with other research fields. Therefore, in this study, the overall network structure of HRS and surrounding research fields were identified using citation network analysis (CNA). Additionally, in this process, in order to address the problem that the latest papers are underestimated in their citation relationships, the GraphSAGE algorithm was applied. As a result, this study identified 'recommender system', 'wireless & IoT', 'computer vision', and 'text mining' as increasingly important research fields related to HRS research, and confirmed that 'personalization' and 'privacy' are emerging issues in HRS research. The study findings would provide both academic and practical insights into identifying the structure of the HRS research community, examining related research trends, and designing future HRS research directions.

A Study on the Classification Model of Overseas Infringing Websites based on Web Hierarchy Similarity Analysis using GNN (GNN을 이용한 웹사이트 Hierarchy 유사도 분석 기반 해외 침해 사이트 분류 모델 연구)

  • Ju-hyeon Seo;Sun-mo Yoo;Jong-hwa Park;Jin-joo Park;Tae-jin Lee
    • Convergence Security Journal
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    • v.23 no.2
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    • pp.47-54
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    • 2023
  • The global popularity of K-content(Korean Wave) has led to a continuous increase in copyright infringement cases involving domestic works, not only within the country but also overseas. In response to this trend, there is active research on technologies for detecting illegal distribution sites of domestic copyrighted materials, with recent studies utilizing the characteristics of domestic illegal distribution sites that often include a significant number of advertising banners. However, the application of detection techniques similar to those used domestically is limited for overseas illegal distribution sites. These sites may not include advertising banners or may have significantly fewer ads compared to domestic sites, making the application of detection technologies used domestically challenging. In this study, we propose a detection technique based on the similarity comparison of links and text trees, leveraging the characteristic of including illegal sharing posts and images of copyrighted materials in a similar hierarchical structure. Additionally, to accurately compare the similarity of large-scale trees composed of a massive number of links, we utilize Graph Neural Network (GNN). The experiments conducted in this study demonstrated a high accuracy rate of over 95% in classifying regular sites and sites involved in the illegal distribution of copyrighted materials. Applying this algorithm to automate the detection of illegal distribution sites is expected to enable swift responses to copyright infringements.

Trend Analysis of Water Quality in Dongjin River Watershed (동진강 유역의 수질 경향 분석에 관한 연구)

  • Lee, Hye-Won;Park, Seok-Soon
    • Korean Journal of Ecology and Environment
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    • v.42 no.1
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    • pp.39-47
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    • 2009
  • Spatial and temporal analysis of water quality was performed for eleven monitoring stations in Dongjin River watershed in order to determine the trends of monthly water quality. The monthly water quality data of biochemical oxygen demand (BOD), total nitrogen (TN) and total phosphorus (TP) during $1995{\sim}2004$, were analyzed utilizing Seasonal Mann-Kendall test, LOWESS and three-dimensional graphic approaches. The results indicated that BOD and TN concentrations had the downward trend, but TP showed the upward trend, especially in Gobucheon. This numerical and graphic analysis is the useful tool to analyze the long-term trend of water quality in a large river system.

Short Term Sensor's Drift Analysis and Compensation Using Internal Normalization (내부 최적화를 이용한 화학 센서의 단기 드리프트 분석 및 보정)

  • Jeon, Jin-Young;Baek, Jong-Hyun;Byun, Hyung-Gi
    • Journal of Sensor Science and Technology
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    • v.24 no.4
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    • pp.270-273
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    • 2015
  • One of the main problems when working the chemical sensor is the lack of repeatability and reproducibility of the sensor response. If the problem is not properly taken into consideration, the stability and reliability of the system using chemical sensors would be decreased. In this paper we analyzed the sensor's drift of short term and proposed a compensation method for reducing the effects of the drift in order to improve the stability and the reliability of the chemical sensor. The sensor drift was analyzed by a trend line graph and CV(coefficient of variation) was used to quantify. And we compensated for the drift by using the internal normalization. As a result it was found that the value of CV was decreased after compensation.

Rheological Study on bentonite Clay Sedimentation with various concentrations of Sea water (해수의 농도 변화에 따른 bentonite 침전에 대한 유변학적 고찰)

  • 최상원;서호준
    • Journal of Environmental Science International
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    • v.5 no.1
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    • pp.35-41
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    • 1996
  • For studying of coagulation and sedimentation in estuarine clay, we obtained several flow curves with various concentrations of sea water by using Coutte type rotational rheometer. The initial shear stress on high concentration of sea water was observed big, but after this, its value is decreasing with increasing shear rate. The maximum pick of shear stress is decreasing with the decreasing of concentration of sea water The trend is same totally above for viscosity. The sedimentation times with the concentration of sea water vary in $\infty$ ~ 5 minutes. The zeta potential is changed dramatically between 114 and 118 concentration of sea water. That is consistent with the sedimentation graph. From these results, the phenomena of coagulation and sedimentation can be explained with viscoelastic terms on structual formation among particles by the changes of surface potential affected from contacting sea water to dispersed particles.

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A Comparative Study on Neural Network Algorithms for Partial Discharge Pattern Recognition (부분방전 패턴인식기법으로서의 Neural Network 알고리즘 비교 분석)

  • Lee, Ho-Keun;Kim, Jeong-Tae
    • Proceedings of the KIEE Conference
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    • 2004.05b
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    • pp.109-112
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    • 2004
  • In this study, the applicability of SOM(Self Organizing Map) algorithm to partial discharge pattern recognition have been investigated. For the purpose, using acquired data from the artificial defects in GIS, SOM algorithm which has some advantages such as data accumulation ability and the degradation trend trace ability was compared with conventionally used BP(Back Propagation) algorithm. As a result, basically BP algorithm was found out to be better than SOM algorithm. Therefore, it is needed to apply SOM algorithm in combination with BP algorithm in order to improve on-site applicability using the advantages of SOM. Also, for the pattern recognition by use of PRPDA(Phase Resolved Partial Discharge Analysis) it is required the normalization of the PRPDA graph. However, in case of the normalization both BP and SOM algorithm have shown worse results, so that it is required further study to solve the problem.

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