• 제목/요약/키워드: 결함 에코

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A Study on Fuzzy Logic based Clustering Method for Radar Data Analysis (레이더 데이터 분석을 위한 Fuzzy Logic 기반 클러스터링 기법에 관한 연구)

  • Lee, Hansoo;Kim, Eun Kyeong;Kim, Sungshin
    • Journal of the Korean Institute of Intelligent Systems
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    • v.25 no.3
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    • pp.217-222
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    • 2015
  • Clustering is one of important data mining techniques known as exploratory data analysis and is being applied in various engineering and scientific fields such as pattern recognition, remote sensing, and so on. The method organizes data by abstracting underlying structure either as a grouping of individuals or as a hierarchy of groups. Weather radar observes atmospheric objects by utilizing reflected signals and stores observed data in corresponding coordinate. To analyze the radar data, it is needed to be separately organized precipitation and non-precipitation echo based on similarities. Thus, this paper studies to apply clustering method to radar data. In addition, in order to solve the problem when precipitation echo locates close to non-precipitation echo, fuzzy logic based clustering method which can consider both distance and other properties such as reflectivity and Doppler velocity is suggested in this paper. By using actual cases, the suggested clustering method derives better results than previous method in near-located precipitation and non-precipitation echo case.

Factor Influencing Depression in Eco Boomer (에코붐 세대의 우울에 영향을 미치는 요인)

  • Kim, Ji-In
    • Journal of Digital Convergence
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    • v.16 no.11
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    • pp.341-352
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    • 2018
  • The purpose of this study was identify the factor affecting depression in eco boomer. This study used the data from the $7^{th}$ Korea National Health and Nutrition Examinations Survey and identified factor affecting depression in adult aged 24 to 37. Data was analyzed using the IBM SPSS 25.0 program. As a result, there were significant differences according to sex, education level, house ownership, health insurance, economic activity status, status of workers, position of servant, working time system, employment condition, perceived health status, smoking, work related physical activity, suicidal plan, suicidal attempt, stress, frequency of meal, companion for meal. As a result of regression analysis, influencing factors of depression in eco boomer were sex, employment condition, perceived health status, smoking, stress, work related physical activity, suicidal plan, companion for dinner. According to the results of this study, depression of the echo boomer should be improved by considering sex, work related characteristics and life style of eco boomer.

Development of Integrated Flood Analysis Platform in the EDC Smart City (EDC 스마트시티 홍수분석 통합플랫폼 개발)

  • Lee, Sung Hack;Koo, Bohn Hyun;Shim, Kyu Cheoul
    • Proceedings of the Korea Water Resources Association Conference
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    • 2020.06a
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    • pp.354-354
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    • 2020
  • 최근 기후변화로 인하여 극한 강우사상이 증가하고 있으며, 이에 대한 재해 위험도도 커지고 있는 추세이다. 서낙동강 지역에서는 부산 에코델타 스마트시티 조성사업이 2023년 완공을 목표로 개발을 진행 중이다. 부산 에코델타 스마트시티는 대저수문과 녹산수문이 각각 상/하류에 위치하고 있으며, 스마트시티가 위치한 좌안에는 평강천이 유입하고 우안에는 대감천, 예안천, 주중천, 신어천, 금천천, 조만강 및 지사천이 유입하고 있다. 스마트시티의 대저수문과 녹산수문 구간은 4월-10월 기간 동안 주변지역 농업용수 공급을 위하여 하계의 일시적인 방류를 제외하면 연중 담수가 이루어지는 전형적인 하천형 저수지의 특성을 가지고 있다. 낙동강의 홍수예보는 낙동강의 본류 구간만을 대상으로 수행하고 있으며, 스마트시티 구간은 주로 수질에 관한 연구가 수행되어 왔다. 그러나 스마트시티의 조성과 함께 서낙동강 구간의 홍수 영향 분석의 필요성이 제기되고 있으나 스마트시티 하천구간을 대상으로 한 홍수분석은 거의 수행된 바가 없다. 본 연구에서는 부산에코델타 스마트시티 구간을 대상으로 시나리오 기반의 홍수분석을 수행할 수 있는 웹기반 통합플랫폼을 개발하였다. 홍수분석에 필요한 자료는 에코델타 스마트시티 개발계획을 기반으로 단기유출모의, 하천흐름모의 및 도시유출모의를 연계하여 분석을 실시할 수 있도록 하였다. 홍수분석을 실시함에 있어 대상 하천구간의 농업용수이용, 수문조작 기준을 고려하였다. 단기유출모의는 홍수통제소의 유출분석을 위하여 사용되는 저류함수법을 적용하였으며, 하천흐름 모의는 미국 공병단에서 개발한 HEC-RAS모형을 적용하였으며, 하천흐름모형의 결과를 미국 환경청(EPA) 도시유출모형인 SWMM과 연계할 수 있도록 하였다. 대상 구간의 하천 취수량을 산정하기 위하여 일별 담수심추적법을 활용한 논 농업용수 수요량을 산정하여 반영하고, 농업용수 수요량에 따른 저수량과 수문운영 룰을 고려하였다. 또한 부산에코델타 스마트시티의 개발에 따른 상태 변화를 반영할 수 있도록 웹기반으로 사용자가 시나리오를 설정하고 각 모형의 입력자료와 매개변수를 조정할 수 있도록 하였다. 본 연구의 결과는 부산에코델타 스마트시티의 개발에 있어 홍수위험을 분석 및 평가하는데 활용될 수 있을 것으로 판단되며, 이를 활용하여 홍수에 안전한 부산에코델타 스마트시티를 만들 수 있을 것으로 기대된다.

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Evaluation of the Basic Property Evaluation of Eco-powder, a Hydrothermal Synthesis Product for Improving Waste Vinyl Recycling Efficiency (농촌 폐비닐 활용률 제고를 위한 수열합성 생성물인 에코 파우더(Eco-powder)의 기초물성 평가)

  • Sun-Mi Choi;Min-Chul Lee;Jin-Man Kim;Young-Gon Son;Nam-Ho Kim
    • Resources Recycling
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    • v.33 no.1
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    • pp.48-57
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    • 2024
  • This study aimed to improve utilization of the Class C vinyl waste generated in rural areas based on a preliminary investigation on the use of eco-powder, generated through pyrolysis, as a raw material for plastic. The efficiency of pre-processing treatments in controlling ash content of the generated eco-powder and its effect on the basic properties of manufactured plastic were evaluated. The basic properties included ash content of the compressed eco-powder at different levels of ash content, impact strength, flexural strength, and tensile strength. The experimental results confirmed that pre-processing improved the separation efficiency of soil particles and vinyl waste through physical impact. The eco-powder with ash content of less than or equal to 26% was found to satisfy the target performance during impact strength, flexural strength, and tensile strength evaluation. Thus, it was confirmed that the Class C vinyl waste, having low utilization and recovery rates, could be effectively utilized as a plastic raw material after optimum thermal treatment and physical processing using the eco-powder.

A Study on Chaff Echo Detection using AdaBoost Algorithm and Radar Data (AdaBoost 알고리즘과 레이더 데이터를 이용한 채프에코 식별에 관한 연구)

  • Lee, Hansoo;Kim, Jonggeun;Yu, Jungwon;Jeong, Yeongsang;Kim, Sungshin
    • Journal of the Korean Institute of Intelligent Systems
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    • v.23 no.6
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    • pp.545-550
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    • 2013
  • In pattern recognition field, data classification is an essential process for extracting meaningful information from data. Adaptive boosting algorithm, known as AdaBoost algorithm, is a kind of improved boosting algorithm for applying to real data analysis. It consists of weak classifiers, such as random guessing or random forest, which performance is slightly more than 50% and weights for combining the classifiers. And a strong classifier is created with the weak classifiers and the weights. In this paper, a research is performed using AdaBoost algorithm for detecting chaff echo which has similar characteristics to precipitation echo and interrupts weather forecasting. The entire process for implementing chaff echo classifier starts spatial and temporal clustering based on similarity with weather radar data. With them, learning data set is prepared that separated chaff echo and non-chaff echo, and the AdaBoost classifier is generated as a result. For verifying the classifier, actual chaff echo appearance case is applied, and it is confirmed that the classifier can distinguish chaff echo efficiently.

An Analysis of the UNIX Echo Response Time (유닉스 에코응답시간 분석)

  • Jong-Seul Lim
    • Journal of the Korea Computer Industry Society
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    • v.2 no.12
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    • pp.1557-1562
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    • 2001
  • The echo response time has been a concern in the performance of the UNIX systems, a significant tail always appears in the distribution of echo response time, though the average echo response time is less serious. This paper addresses the issue of echo response times in the UNIX systems. We explain how the Fair Share Scheduler (FSS) works and explain why the FSS might cause excessive echo response times and show by analysis how echo response time reacts to key parameters under FSS. Finally, we present a recommended solution that should improve the echo response time drastically. This solution is a refined FSS which will overcome the echo response time problem while retaining the essence of the FSG. This will enhance the UNIX performance and productivity.

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Hands-free Speech Recognition based on Echo Canceller and MAP Estimation (에코제거기와 MAP 추정에 기초한 핸즈프리 음성 인식)

  • Sung-ill Kim;Wee-jae Shin
    • Journal of the Institute of Convergence Signal Processing
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    • v.4 no.3
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    • pp.15-20
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    • 2003
  • For some applications such as teleconference or telecommunication systems using a distant-talking hands-free microphone, the near-end speech signals to be transmitted is disturbed by an ambient noise and by an echo which is due to the coupling between the microphone and the loudspeaker. Furthermore, the environmental noise including channel distortion or additive noise is assumed to affect the original input speech. In the present paper, a new approach using echo canceller and maximum a posteriori(MAP) estimation is introduced to improve the accuracy of hands-free speech recognition. In this approach, it was shown that the proposed system was effective for hands-free speech recognition in ambient noise environment including echo. The experimental results also showed that the combination system between echo canceller and MAP environmental adaptation technique were well adapted to echo and noise environment.

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Enhanced Pre echo Control Algorithm for MPEG Audio Coders (MPEG 오디오 부호화기를 위한 향상된 프리 에코 컨트롤 알고리듬)

  • Lee Chang-Joon;Lee Jae-Seong;Park Young-Cheol
    • Journal of Broadcast Engineering
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    • v.11 no.2 s.31
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    • pp.191-199
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    • 2006
  • This paper presents an efficient pre echo control scheme for MPEG Audio coders based on the psychoacoustic model II (PAM-II). Pre echo control is the final step for the calculation of masking threshold in the PAM II. It is to minimize the spread of quantization error over the processing frame. In the conventional encoders, pre echo is reduced by restricting the estimated masking threshold not to exceed the one obtained in the previous frame. The conventional method performs pre echo control not only for short blocks but also for long blocks, which lowers the masking threshold in long blocks and, in turn, increases the quantization noise level of corresponding blocks. This paper proposes an efficient pre echo control process. The test result shows a mean enhancement of more than 0.4 especially for complex signals on the ITU R 5 point audio impairment scale.

A Study on the Performance Improvement and Long-Term Strength Properties of Eco-cement Concrete (에코시멘트 콘크리트의 장기강도 특성 및 성능 향상 방안에 관한 연구)

  • Park, Kwang-Min;Lee, Gun-Cheol
    • Journal of the Korea Concrete Institute
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    • v.23 no.6
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    • pp.817-826
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    • 2011
  • Concrete using eco-cement has a problem with long-term strength development. However, currently, a long-term strength development mechanism is not confirmed, resulting in a lack of application of eco-cement in construction fields. In this study, the curing humidity influence on development in long-term strength of concrete using eco-cement and the relationship between strength and pore structure were examined. The results showed that wet cured eco-cement with a high water/cement ratio showed serious long-term strength reduction due to non-reduction of pore volume (pore size over 10 nm) in mortar caste with eco-cement. Also, the study results on improvement of long-term strength of eco-cement by partial replacement with ordinary portland cement and finely-ground fly ash showed that both of these alternatives improved long-term strength of concrete caste with eco-cement due to gradual refinement of their micro-structure.

The Effects of Self-Esteem on Depression of Baby boomers and Echo-boomers who Live Alone (독거 베이비부머와 에코부머의 자아존중감이 우울에 미치는 영향)

  • Choi, So-Yun
    • Journal of Convergence for Information Technology
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    • v.11 no.9
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    • pp.201-207
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    • 2021
  • This study investigated the effects of self-esteem on the depression of baby boomer and eco-boomer generation (the children of baby boomers) living alone. It was identified from the point of view of comparison between the two groups. Using the 15th data of the 2020 Korea Welfare Panel, an independent sample t-test and hierarchical regression analysis were conducted with the data of baby boomers who live alone (born in 1955-1963) and eco-boomers who live alone (born in 1979-1992). The results of this study show that baby boomers who live alone had lower levels of education, income, and health condition than the eco-boomers who live alone, and had higher level of depression, but relatively lower level of self-esteem. In both groups, self-esteem had an effect on depression, but it was confirmed that the influence was greater in the group of baby boomers (Adjusted R2 .259) than in eco-boomers (Adjusted R2 .083). Based on the results of this study, practical and policy alternatives were suggested to prevent the depression among middle-aged, elderly people, and young adults who live alone.