• 제목/요약/키워드: Reduction Methods

검색결과 6,616건 처리시간 0.037초

영산강 하류부의 목표수질 달성을 위한 BOD 부하량 삭감방법의 비교 (A Comparison Between Reduction Methods for BOD Loadings to Achieve Water Quality Standards at the End of the Yeongsan River)

  • 황대호;정효준;이홍근
    • 한국환경보건학회지
    • /
    • 제27권2호
    • /
    • pp.119-126
    • /
    • 2001
  • The key point in establishing water quality management measures is how to decide the load reduction for pollution sources. This study was performed to compare reduction methods for BOD loadings to achieve water quality standards at the end of the Yeongsan river. The target year is 2006 and 2011 and reduction methods are uniform treatment and treatment by influence rate. Using QUAL2E model, the study was performed under the conditions of establishing and non-establishing the publicly owned treatment works(POTWs). Uniform treatment which allocate the same reduction rate to pollution sources showed that all streams into the river should be applied for the reduction. However, treatment by influence rate which allocate the reduction rate by the order of influence rate showed that achieving target quality might be possible with a few streams for the reduction. But total amount of load reduction of streams was not significantly different from two methods.

  • PDF

폐스티로폼의 감용방식에 관한 연구 (A Study on the Various Volume Reducing Methods for Wasted EPS Foam)

  • 임중연;최호준;황병복
    • 한국자원리싸이클링학회:학술대회논문집
    • /
    • 한국자원리싸이클링학회 2003년도 추계정기총회 및 국제심포지엄
    • /
    • pp.165-169
    • /
    • 2003
  • Current volume reduction methods for wasted expandable polystyrene (EPS) foam are summarized and compared each other. Wasted EPS foam has not been recycled effectively because of its large volume to weight ratio. This has prevented from its proper recycling because of high cost of transportation to recycling plant. Successful recycling of wasted EPS foam results directly from successful, i.e. economically and environmentally, volume reduction of wasted EPS foam. This paper deals with various methods for volume reduction methods of wasted EPS foam. Five typical methods of volume reduction are introduced and they are compared each other in terms of expected PS properties after volume reduction, cost effectiveness of each process, possible effects on environment caused by the volume reduction process, and possible recycled products. The methods include thermal, solvent, far infrared and mechanical compaction. Comparison in this paper is made mostly in qualitative manner. The focus in this study is concentrated on summarizing and comparing existing methods of volume reduction for wasted EPS foam.

  • PDF

농업분야 탄소인지예산제도 도입을 위한 국가연구개발사업의 탄소저감 기여도 평가 방안 (Evaluation Methods of Carbon Reduction Contribution for Green Budget of National R&D Projects in Agricultural Sector)

  • 김솔희;한승현;강성수;서교
    • 한국농공학회논문집
    • /
    • 제64권5호
    • /
    • pp.41-51
    • /
    • 2022
  • Carbon neutrality is emerging as a new paradigm for the international society by transiting from climate change to climate risk. This study proposes evaluation methods for the carbon reduction contribution of climate-related national R&D projects in order to introduce a green budget system in the agricultural sector. We considered the domestic and foreign green budget systems and classified national R&D projects into positive, negative, and neutral from the perspective of carbon reduction. The results of this study propose three methods to estimate the monetary costs and carbon benefits by adopting the framework for the economic evaluation of national R&D projects conducted by the Rural Development Administration. These methods support to evaluate the potential contribution to carbon reduction of national R&D projects in the agricultural sector. Finally, the proposed methods were tested and verified for the efficiency and validity of evaluating carbon reduction contribution. These evaluation methods of the carbon reduction contribution can be used as a basic methodology for the pre-budget calculations of national R&D projects and the contribution for the greenhouse gas reduction budget.

SLM 기반 Walsh Hadamard 변환 및 DSI 기법을 이용한 PAPR 저감 기법 (PAPR Reduction Method Using SLM-based WHT and DSI)

  • 김상우;김남일;유흥균
    • 한국전자파학회논문지
    • /
    • 제16권11호
    • /
    • pp.1147-1154
    • /
    • 2005
  • 본 논문에서는 OFDM(Orthogonal Frequency Division Multiplexing) 시스템에서 다중 케리 어(multi carrier) 변조에 의해 크게 발생되는 PAPR(Peak to Average Power Ratio)을 저감하기 위한 방법으로 WHT(Walsh Hadamard Transform)를 이용한 PAPR 저감 기법들을 제안한다. 제안하는 방법은 기본적으로 WHT를 기존의 PAPR 저감 기법들과 혼합하여 추가적인 대역 손실 및 큰 복잡도의 증가 없이 추가적인 PAPR저감 성능을 나타내도록 하는 방법으로, 본 논문에서는 SLM(Selective Mapping) 및 DSI(Dummy Sequence Insertion) 방법을 WHT와 결합한 방법을 제시하며, 시뮬레이션 결과로부터, WHT를 이용한 PAPR 저감 기법들이 기존의 PAPR 저감 기법보다 항상 약 1 dB 가량의 더 나은 PAPR 저감 효과를 나타냄을 확인하였다. 또한 제안된 방법은 PAPR저감뿐만 아니라 주파수 다이버시티(diversity) 효과를 얻을 수 있기 때문에 비선형 증폭기에 의한 비선형 왜곡뿐만 아니라 다중 경로 페이딩(multipath lading)이 심하게 일어나는 무선 채널 환경에서 보다 안정된 데이터 전송을 가능케 할 것으로 기대된다.

COMPARISON OF SOME ORDER_REDUCTION METHODS FOR LINEAR SYSTEMS

  • Lee, K.
    • 대한전기학회:학술대회논문집
    • /
    • 대한전기학회 1993년도 하계학술대회 논문집 A
    • /
    • pp.299-302
    • /
    • 1993
  • Some well known order reduction methods are briefly described and a nev order reduction technique is introduced. A comparison of the various classes of order reduction approaches are indicated. Furthermore, the question is raised how order reduction should be executed with respect to controller design. Finally, by means of an example, results of the discussed approaches are compared.

  • PDF

A Study on the Loss Reduction Method of Reinforcing Bar through Case Study

  • Park, U-Yeol;Jung, Hyeon-Ok;Kang, Tai-Kyung;Cho, Hun-Hee
    • 한국건축시공학회지
    • /
    • 제10권4호
    • /
    • pp.123-132
    • /
    • 2010
  • Rebar work accounts for approximately 30% of the total construction costs for rebars and concrete. Recently, the high rising prices of rebars have become one of the principle factors of rising construction costs. Therefore, construction companies are putting much effort into loss reduction of rebars. Consequently, in this study, we wished to present loss reduction methods of rebars before the preparation of the placing drawings. To devise such methods, we collected previous case studies and analyzed methods that were applied for loss reduction. As a result of the analysis, we were able to find the following methods for loss reduction of rebars: method of reducing the number of splices at the mat foundation, method of reducing splice length at the internal columns or walls of the underground parking lot, method of reducing cap-ties of internal beams of basement floors excluding perimeter beams, and method of reducing anchorage length at the internal column or wall of the underground parking lot. Based on those analysis results, we presented our own loss reduction methods of rebars. Applying our methods resulted in considerable loss reduction.

DR-LSTM: Dimension reduction based deep learning approach to predict stock price

  • Ah-ram Lee;Jae Youn Ahn;Ji Eun Choi;Kyongwon Kim
    • Communications for Statistical Applications and Methods
    • /
    • 제31권2호
    • /
    • pp.213-234
    • /
    • 2024
  • In recent decades, increasing research attention has been directed toward predicting the price of stocks in financial markets using deep learning methods. For instance, recurrent neural network (RNN) is known to be competitive for datasets with time-series data. Long short term memory (LSTM) further improves RNN by providing an alternative approach to the gradient loss problem. LSTM has its own advantage in predictive accuracy by retaining memory for a longer time. In this paper, we combine both supervised and unsupervised dimension reduction methods with LSTM to enhance the forecasting performance and refer to this as a dimension reduction based LSTM (DR-LSTM) approach. For a supervised dimension reduction method, we use methods such as sliced inverse regression (SIR), sparse SIR, and kernel SIR. Furthermore, principal component analysis (PCA), sparse PCA, and kernel PCA are used as unsupervised dimension reduction methods. Using datasets of real stock market index (S&P 500, STOXX Europe 600, and KOSPI), we present a comparative study on predictive accuracy between six DR-LSTM methods and time series modeling.

유방축소술의 최근 경향 및 수직반흔법과 역T자반흔법의 비교 (Recent Trend of the Reduction Mammaplasty and comparing with Vertical Reduction Method and Inverted T-scar Method)

  • 권기현;임영빈;조명수;신혜경;설정현
    • Archives of Plastic Surgery
    • /
    • 제38권3호
    • /
    • pp.300-308
    • /
    • 2011
  • Purpose: The goal of reduction mammaplasty is breast with natural cone shape, minimizing scars, well-placed and sensate nipple-areolar area and maintaining breast physiology. In order to satisfy that goal, variable reduction mammaplasty methods are performed, however, two methods such as vertical reduction method and inverted T-scar method are currently most used. We compared indications and advantages of the two methods and set up useful guidlines. Methods: For 15 years from 1995 to 2010, we experienced 84 patients (162 breasts). We performed vertical reduction method as Lejour's superior pedicle technique (45 patients) and inverted T-scar method as Goldwyn's inferior dermal flap technique (39 patients). We evaluated the result of the operation comparing patient's age, amount of resected tissue, complications and post-operative scars of the two methods. Results: The mean age was 36 years and the vertical reduction group was 3 years younger than inverted T-scar group. The mean breast tissue resection amount per one breast, inverted T-scar group (712 gm) was lagger than vertical reduction group (395 gm). Conclusion: There is no ideal method for reduction mammaplasty until now. However, we suggest that guide line, the vertical reduction method is effective for minimal and moderate macromastia in young and middle aged women and inverted T-scar method is appropriate for severe macromastia with ptosis in elderly women. Recently, all procedures tried shorter and smaller scar on the vertical line as small I, J or L shape scar, and inframammary fold as short inverted T-scar.

MBRDR: R-package for response dimension reduction in multivariate regression

  • Heesung Ahn;Jae Keun Yoo
    • Communications for Statistical Applications and Methods
    • /
    • 제31권2호
    • /
    • pp.179-189
    • /
    • 2024
  • In multivariate regression with a high-dimensional response Y ∈ ℝr and a relatively low-dimensional predictor X ∈ ℝp (where r ≥ 2), the statistical analysis of such data presents significant challenges due to the exponential increase in the number of parameters as the dimension of the response grows. Most existing dimension reduction techniques primarily focus on reducing the dimension of the predictors (X), not the dimension of the response variable (Y). Yoo and Cook (2008) introduced a response dimension reduction method that preserves information about the conditional mean E(Y | X). Building upon this foundational work, Yoo (2018) proposed two semi-parametric methods, principal response reduction (PRR) and principal fitted response reduction (PFRR), then expanded these methods to unstructured principal fitted response reduction (UPFRR) (Yoo, 2019). This paper reviews these four response dimension reduction methodologies mentioned above. In addition, it introduces the implementation of the mbrdr package in R. The mbrdr is a unique tool in the R community, as it is specifically designed for response dimension reduction, setting it apart from existing dimension reduction packages that focus solely on predictors.

개념 변동 고차원 스트리밍 데이터에 대한 차원 감소 방법 (Dimension Reduction Methods on High Dimensional Streaming Data with Concept Drift)

  • 박정희
    • 정보처리학회논문지:소프트웨어 및 데이터공학
    • /
    • 제5권8호
    • /
    • pp.361-368
    • /
    • 2016
  • 고차원데이터에 대한 차원 감소 기법들은 많이 연구되어져 온 반면, 개념 변동을 가진 고차원 스트리밍 데이터에서 적용할 수 있는 차원 감소 기법에 대한 연구는 제한적이다. 이 논문에서는 스트리밍 데이터에서 적용할 수 있는 점층적 차원 감소 기법들을 살펴보고, 개념 변동 고차원 스트리밍 데이터에 대해 분류 성능을 향상시킬 수 있도록 차원 감소를 효과적으로 적용하는 방법을 제안한다.