• Title/Summary/Keyword: 분기 예측

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Consistency Analysis between Predicted and Measured PM10 and NO2 Air Quality During Environmental Impact Assessment of Linear Construction Projects (선형사업에 대한 환경영향평가 시 대기질 예측치와 실측치의 정합성 분석 - PM10과 NO2를 중심으로 -)

  • No Ol, Lim;Hyun Chan, Sung;Sun Jeong, Kim;Ji Young, Kim;Seong Woo, Jeon
    • Journal of Environmental Impact Assessment
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    • v.31 no.6
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    • pp.378-387
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    • 2022
  • Since air pollution has become a global issue to be managed, the Republic of Korea (ROC) is protecting air quality by predicting the air condition before a construction project starts through EnvironmentalImpact Assessment (EIA) and measuring the air condition afterwards the construction project ends through Post-environmental Impact Assessment (PEIA). The aim of this study consists on verifying the predicted and measured concentration data and analyzing their consistency in order to deduce improvement directions. Linear EIA projects which the investigation during operation period have been concluded between years 2017 and 2019 were used. As a result, the following improvement directions were suggested: reduction of EIA air quality standards, strengthen the management of projects with construction duration longer than 5 years, incorporation of first or second quarter (winter or spring) into the investigation period, consideration of construction equipment or conditions for better prediction. The strength of this study is that we arranged and utilized EIA predicted and PEIA measured data to understand the present EIA procedure and made meaningful suggestions through the consistency analysis contributing to air quality maintenance and investigation methodology enhancement.

Headedness Parameter and the Acquisition of Null Anaphor (문장의 머리방향 매개변수(headedness parameter)와 공조응사(null anaphor)습득)

  • 조숙환
    • Korean Journal of Cognitive Science
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    • v.1 no.1
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    • pp.145-164
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    • 1989
  • The present paper studies the development of null anaphor,with special attention to whether Korean children's use of null anaphora exhibits the type of directionality preforence predicted by Lust & Mangione(1983)and Lust(1986).If these researchers are correct,anaphora in Korean children's language should be constrained backward since Korean is a left-branching language.That is,it is predicted that Korean chidren would perfer backward anaphora to the forward pattern.For the purpose of this study, ninety-six children were individually tested in an elicited imitation task, twenty-four children from four age groups(4:1-9:7).Three types of constructions,sentences involving a redundant NP,forward patterns of ananphora,and backsward patterns of anaphora were devised.It was discovered that like English speaking children, Korean children prefer forward patterns of anaphora to backward structures.It was thus speculated that the forward preference may well be indedpendent of grammatical factors,reflecting instead processing considerations which favour mention of the referent befor the use of anaphoric elements.

Modeling of the Liquid Rocket Engine Transients (액체로켓엔진 천이작동 예측을 위한 동특성 모델링)

  • Ko, Tae-Ho;Jeong, Yu-Shin;Yoon, Woong-Sup
    • Journal of the Korean Society of Propulsion Engineers
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    • v.15 no.1
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    • pp.45-54
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    • 2011
  • A program aiming at predicting dynamic characteristics of a Liquid Rocket Engine(LRE) was developed and examined to trace entire LRE operation. In the startup period, transient characteristics of the propellant flows were predicted and validated with hydraulic tests data. An arrangement of each component for the pipelines was based on an operating circuit of open cycle LRE. The flow rate ratio for the gas generator and the main chamber was determined to mimic that of real open cycle LRE. Individual component modeling at its transient was completed and was integrated into the system prediction program. Essential parameters of the component dynamic characteristics were examined in an integrated fashion.

A Branch Prediction Mechanism With Adaptive Branch History Length for FAFF Information Processing (농림수산식품분야 정보처리를 위한 적응하는 분기히스토리 길이를 갖는 분기예측 메커니즘)

  • Ko, K.H.;Cho, Y.I.
    • Journal of Practical Agriculture & Fisheries Research
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    • v.13 no.1
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    • pp.3-17
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    • 2011
  • Pipelines of processor have been growing deeper and issue widths wider over the years. If this trend continues, branch misprediction penalty will become very high. Branch misprediction is the single most significant performance limiter for improving processor performance using deeper pipelining. Therefore, more accurate branch predictor becomes an essential part of modem processors for FAFF(Food, Agriculture, Forestry, Fisheries)Information Processing. In this paper, we propose a branch prediction mechanism, using variable length history, which predicts using a bank having higher prediction accuracy among predictions from five banks. Bank 0 is a bimodal predictor which is indexed with the 12 least significant bits of the branch PC. Banks 1,2,3 and 4 are predictors which are indexed with different global history bits and the branch PC. In simulation results, the proposed mechanism outperforms gshare predictors using fixed history length of 12 and 13, up to 6.34% in prediction accuracy. Furthermore, the proposed mechanism outperforms gshare predictors using best history lengths for benchmarks, up to 2.3% in prediction accuracy.

Using noise filtering and sufficient dimension reduction method on unstructured economic data (노이즈 필터링과 충분차원축소를 이용한 비정형 경제 데이터 활용에 대한 연구)

  • Jae Keun Yoo;Yujin Park;Beomseok Seo
    • The Korean Journal of Applied Statistics
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    • v.37 no.2
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    • pp.119-138
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    • 2024
  • Text indicators are increasingly valuable in economic forecasting, but are often hindered by noise and high dimensionality. This study aims to explore post-processing techniques, specifically noise filtering and dimensionality reduction, to normalize text indicators and enhance their utility through empirical analysis. Predictive target variables for the empirical analysis include monthly leading index cyclical variations, BSI (business survey index) All industry sales performance, BSI All industry sales outlook, as well as quarterly real GDP SA (seasonally adjusted) growth rate and real GDP YoY (year-on-year) growth rate. This study explores the Hodrick and Prescott filter, which is widely used in econometrics for noise filtering, and employs sufficient dimension reduction, a nonparametric dimensionality reduction methodology, in conjunction with unstructured text data. The analysis results reveal that noise filtering of text indicators significantly improves predictive accuracy for both monthly and quarterly variables, particularly when the dataset is large. Moreover, this study demonstrated that applying dimensionality reduction further enhances predictive performance. These findings imply that post-processing techniques, such as noise filtering and dimensionality reduction, are crucial for enhancing the utility of text indicators and can contribute to improving the accuracy of economic forecasts.

An Experimental Study on the Prediction of Yield Load Using Ring Analysis Method in Circular Tubular X-Type Cross Sections (링해석법에 의한 X형 강관 격점부의 항복하중 예측에 관한 실험적 연구)

  • Park, Il Min;Na, Seon Hong
    • Journal of Korean Society of Steel Construction
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    • v.11 no.1 s.38
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    • pp.43-54
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    • 1999
  • The divergence connection between steel circular tubes is widely used in such structures as factory facilities, steel circular hollow section truss, and off-shore tower. Steel circular hollow section (SCHS) have close section, and it makes their per-unit production expense higher than open sectioned products like L-shape, H-shape steels, but the sectional resistance of SCHS against vertical compression and torsion is very high. Despite the structural merits of SCHS, however, many engineers dislike to use them in their design because of uncertainty regarding the stress distribution and deformation behavior at their connections. Therefore, this thesis dealt with X-type connections, the most common forms of connection, and studied their load-deformation relationship. It observed how to show the load-deformation relationship at steel circular tube connections according to the diameter-thickness ratio (D/T) of the chord and diameter of branch-diameter of chord ratio (d/D) and suggested prediction yield load using by ring analysis method.

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Analytical Models and their Performance Analysis of Superscalar Processors (수퍼스칼라 프로세서의 해석적 모델 및 성능 분석)

  • Kim, Hak-Jun;Kim, Seon-Mo;Choe, Sang-Bang
    • Journal of KIISE:Computer Systems and Theory
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    • v.26 no.7
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    • pp.847-862
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    • 1999
  • 본 논문에서는 유한버퍼의(finite-buffered) 동기화된(synchronous) 큐잉모델(queueing model)을 이용하여 명령어들간의 병렬성, 분기명령의 빈도수, 분기예측(branch prediction)의 정확도, 캐쉬미스 등의 파라미터들을 고려하여 프로세서의 명령어 실행율을 예측하며 캐쉬의 성능과 파이프라인 성능간의 관계를 분석할 수 있는 새로운 해석적 모델을 제안하였다. 해석적 모델은 모델의 타당성을 검증하기 위해서 시뮬레이션을 수행하여 얻은 결과와 비교하였다. 해석적 모델과 시뮬레이션을 비교한 결과 대부분 10% 오차 내에서 일치하였다. 본 연구를 통하여 얻은 해석적 모델을 사용하면 시뮬레이션에서는 드러나지 않는 성능제약의 원인에 대한 명확한 규명이 가능하기 때문에 성능향상을 위한 설계자료를 얻을 수 있으며, 시스템 성능 밸런스를 위한 캐쉬와 비순차이슈 파이프라인 성능간의 관계에 대한 정확한 분석이 가능하다.Abstract This research presents a novel analytic model to predict the instruction execution rate of superscalar processors using the queuing model with finite-buffer size and synchronous operation mode. The proposed model is also able to analyze the performance relationship between cache and pipeline. The proposed model takes into account various kinds of architectural parameters such as instruction-level parallelism, branch probability, the accuracy of branch prediction, cache miss, and etc.. To prove the correctness of the model, we performed extensive simulations and compared the results with the analytic model. Simulation results showed that the proposed model can estimate the average execution rate accurately within 10% error compared to simulation results. The proposed model can explain the causes of performance bottleneck which cannot be uncovered by the simulation method only. The model is also able to show the effect of the cache miss on the performance of out-of-order issue superscalar processors, which can provide an valuable information in designing a balanced system.

Prediction of the spatial distribution of suitable habitats for Geranium carolinianum under SSP scenarios (SSPs 시나리오에 따른 미국쥐손이 적합 서식지 분포 예측)

  • Oh, Young-Ju;Kim, Myung-Hyun;Choi, Soon-Kun;Kim, Min-Kyeong;Eo, Jinu;Yeob, So-Jin;Bang, Jeong Hwan;Lee, Yong Ho
    • Ecology and Resilient Infrastructure
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    • v.8 no.3
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    • pp.154-163
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    • 2021
  • This study was carried out to identify the factors affecting the distribution of suitable habitats for Geranium carolinianum, which was naturalized in South Korea, and to predict the changes of distribution in the future. We collected occurrence data of G. carolinianum at 68 sites in South Korea, and applied the MaxEnt model under climate change scenarios (SSP2-4.5, and SSP5-8.5). Precipitation seasonality (bio15), mean temperature of warmest quarter (bio10), and mean temperature of driest quarter (bio09) had high contribution for potential distribution of G. carolinianum. According to climate change scenarios, high suitable habitats of G. carolinianum occupied 6.43% of the land of South Korea in historical period (1981~2010), and 92.60% under SSP2-4.5, and 98.36% undr SSP5-8.5 in far future (2071~2100).

A Study on the Critical Point and Bifurcation According to Load Mode of Dome-Typed Space Frame Structures (돔형 스페이스 프레임 구조물의 하중모드에 따른 분기점 특성에 관한 연구)

  • Shon, Su-Deok;Kim, Seung-Deog;Lee, Seung-Jae;Kim, Jong-Sik
    • Journal of Korean Association for Spatial Structures
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    • v.11 no.1
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    • pp.121-130
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    • 2011
  • Space frame structures have the advantage of constructing a large space structures without column and it may be considered as a shell structure. Nevertheless, with the characteristics of thin and long term of spacing, the unstable problem of space structure could not be set up clearly, and there is a huge difference between theory and experiment. Therefore, in this work, the tangential stiffness matrix of space frame structures is studied to solve the instability problem, and the nonlinear incremental analysis of the structures considering rise-span ratio(${\mu}$) and the ratio of load($R_L$) is performed for searching unstable points. Basing on the results of the example, global buckling can be happened by low rise-span ratio(${\mu}$), nodal buckling can be occurred by high rise-span ratio(${\mu}$). And in case of multi node space structure applying the ratio of load($R_L$), the nodal buckling phenomenon occur at low the ratio of load($R_L$), the global buckling occur a1 high the ratio of load($R_L$). In case of the global buckling, the load of bifurcation is about from 50% to 70% of perfect one's snap-through load.

Construction of Logic Trees and Hazard Curves for Probabilistic Tsunami Hazard Analysis (확률론적 지진해일 재해도평가를 위한 로직트리 작성 및 재해곡선 산출 방법)

  • Jho, Myeong Hwan;Kim, Gun Hyeong;Yoon, Sung Bum
    • Journal of Korean Society of Coastal and Ocean Engineers
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    • v.31 no.2
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    • pp.62-72
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    • 2019
  • Due to the difficulties in forecasting the intensity and the source location of tsunami the countermeasures prepared based on the deterministic approach fail to work properly. Thus, there is an increasing demand of the tsunami hazard analyses that consider the uncertainties of tsunami behavior in probabilistic approach. In this paper a fundamental study is conducted to perform the probabilistic tsunami hazard analysis (PTHA) for the tsunamis that caused the disaster to the east coast of Korea. A logic tree approach is employed to consider the uncertainties of the initial free surface displacement and the tsunami height distribution along the coast. The branches of the logic tree are constructed by reflecting characteristics of tsunamis that have attacked the east coast of Korea. The computational time is nonlinearly increasing if the number of branches increases in the process of extracting the fractile curves. Thus, an improved method valid even for the case of a huge number of branches is proposed to save the computational time. The performance of the discrete weight distribution method proposed first in this study is compared with those of the conventional sorting method and the Monte Carlo method. The present method is comparable to the conventional methods in its accuracy, and is efficient in the sense of computational time when compared with the conventional sorting method. The Monte Carlo method, however, is more efficient than the other two methods if the number of branches and the number of fault segments increase significantly.