• 제목/요약/키워드: Input indicator

검색결과 134건 처리시간 0.019초

LCA를 적용한 하천환경영향평가 방법 (A Method of River Environmental Impact Assessment using LCA)

  • 김성준;김명희;전용태;신선미;최용승;원찬희
    • 환경영향평가
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    • 제21권1호
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    • pp.93-104
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    • 2012
  • In this research LCA methodology was adapted and analyzed in quantifying estimation of estuarine environment. The analysed objects of estuarine environment were construction methods, facility, and input material into water, and estuarine ecosystem. In this research the function of LCA of estuarine environment was river with the view of controling water, utilizing water, and hydrophilic function. According to the result of research, environmental damage indicator of facility was decreased 346 Pt from 453 Pt at pre-maintenance to 107 pt at post-maintenance. Among raw and subsidiary materials, remicon, stone-netting bag, and pebbles were showing heavy environmental load in the order. Evironmental impact of input material into water system was analyzed from 1,827 Pt environmental load before construction to 1,080 Pt of post-maintenance, and damage indicator was improved at 747 Pt. Water quality was improved from 1,827 Pt (before construction) to 1,080 Pt(after construction), and ecosystem was improved after maintenance. Environmental indicator in ecosystem was analyzed 427 Pt(before construction) to 348 Pt(after construction), and damage indicator of Sumnjingang riverine system was improved as much as 79 Pt. In the conclusion, estuarine environmental monitoring through LCA in the area of facility, input material into water and ecosystem showed that close-to-nature stream was 1,172 Pt better than artificial stream in environmental aspects.

국가 단위 자원생산성 측정 신뢰성 제고를 위한 보조지표 개발 (Development of Sub-indicator for Enhancing the Reliability of National-level Resource Productivity Estimation)

  • 이종효;강홍윤;황용우;권순길
    • 청정기술
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    • 제28권3호
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    • pp.258-266
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    • 2022
  • 국가 단위의 자원생산성은 GDP/DMC로 측정한다. 그러나 GDP의 경우 지표 특성상 자원으로부터 발생된 부가가치만을 구분하기 어렵다는 한계가 있다. 이에 본 연구에서는 자원생산성 지표(이하 GDP/DMC) 수식 중 GDP에 에너지 조정계수를 적용(이하 GDPe) 하였다. GDPe 적용 결과, 제조업 비중이 높은 우리나라는 자원사용량 1톤당 평균 1,094.60 USD/ton의 가치를 창출하였으며 OECD 38개 국가 중 4위로 기존 GDP/DMC 대비 10계단 상승하였다. 반면 3차 산업이 전체 GDP의 70%를 차지하는 룩셈부르크는 GDPe 적용 후 자원생산성 순위가 12계단 하락하였다. GDPe/DMC는 산업구조별 에너지 사용량을 고려해 자원에 국한하여 부가가치를 측정하므로 제조업 비중이 높은 국가의 경우 산업특성이 반영되어 자원생산성이 기존보다 상대적으로 높게 나타날 수 있다. GDPe/DMC는 산업구조가 확연히 다른 국가들(에너지/자원집약도가 높은 산업 중심의 국가와 그렇지 않은 국가) 간의 자원생산성 비교 분석을 통한 개선안 도출에 매우 유용하게 활용될 수 있을 것으로 사료된다. 뿐만 아니라 산업구조가 유사한 국가들 간에 자원생산성 비교, 분석을 위해서도 참고지표로써 유용하게 활용될 수 있을 것으로 판단된다.

심층 인공신경망을 활용한 Smoothed RSSI 기반 거리 추정 (Smoothed RSSI-Based Distance Estimation Using Deep Neural Network)

  • 권혁돈;이솔비;권정혁;김의직
    • 사물인터넷융복합논문지
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    • 제9권2호
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    • pp.71-76
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    • 2023
  • 본 논문에서는 단일 수신기가 사용되는 환경에서 정확한 거리 추정을 위해 심층 인공신경망 (Deep Neural Network, DNN)을 활용한 Smoothed Received Signal Strength Indicator (RSSI) 기반 거리 추정 기법을 제안한다. 제안 기법은 거리 추정 정확도 향상을 위해 Data Splitting, 결측치 대치, Smoothing 단계로 구성된 전처리 과정을 수행하여 Smoothed RSSI 값을 도출한다. 도출된 다수의 Smoothed RSSI 값은 Multi-Input Single-Output(MISO) DNN 모델의 Input Data로 사용되며 Input Layer와 Hidden Layer를 통과하여 최종적으로 Output Layer에서 추정 거리로 반환된다. 제안 기법의 우수성을 입증하기 위해 제안 기법과 선형회귀 기반 거리 추정 기법의 성능을 비교하였다. 실험 결과, 제안 기법이 선형회귀 기반 거리 추정 기법 대비 29.09% 더 높은 거리 추정 정확도를 보였다.

한국어 음성 인식에서 변동성과 벌크 지표에 기반한 음소 경계 검출 (Phoneme Segmentation based on Volatility and Bulk Indicators in Korean Speech Recognition)

  • 이재원
    • 정보과학회 컴퓨팅의 실제 논문지
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    • 제21권10호
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    • pp.631-638
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    • 2015
  • 최근 모바일 환경에서 작동 가능한 음성 인식 시스템에 대한 수요가 급격히 증대되고 있다. 본 논문은 음소 기반 한국어 음성 인식 시스템에 적용하기 위한 새로운 한국어 음소 경계 검출 방안을 제안한다. 먼저 입력 신호는 동일한 크기의 블록들을 구성한다. 제안하는 방식은 입력 음성 신호의 각 블록에 대해 계산되는 변동성 지표와, 부호가 동일한 인접 샘플들의 집합인, 블록 내의 각 벌크에 대해 계산되는 벌크 지표를 음소 경계 검출의 기반 지표로 사용한다. 두 가지 기반 지표를 결합하여 활용하는 세 개의 전용 인식 알고리즘을 사용하여, 모음, 유성 자음, 그리고 무성 자음을 차례로 인식하여 음소 간 경계를 검출한다. 실험 결과를 통해, 제안하는 방식을 사용함으로써 기존의 경계 검출 방식에 비해 오류율을 현저히 감소시킬 수 있음을 확인하였다.

10-10 Project Campaign: 10 Input Measures Influencing Project Outcomes

  • Choi, Jiyong;Kang, Youngcheol;Yun, Sungmin;Mulva, Stephen;Oliveira, Daniel
    • 국제학술발표논문집
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    • The 6th International Conference on Construction Engineering and Project Management
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    • pp.200-204
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    • 2015
  • This paper presents 10 input measures influencing project outcomes. Construction Industry Institute (CII), a consortium of more than 130 project owner and contractor companies, has collected project-level data for over 20 years. Recently, CII has developed a new system measuring project-level performance and factors presumably influencing project performance. The system, called 10-10, collects data for 10 input and 10 output measures for capital projects. The input measures include planning, organizing, leading, controlling, design efficiency, human resources, quality, sustainability, supply chain, and safety. This paper provides theoretical background for these measures. Although the input measures have been known to impact on project outcomes such as cost and schedule, there has been no study quantitatively evaluating how they are operated in the construction industry. This study contributes to revealing the current status of their uses, which will be helpful in establishing strategies improving construction project performance.

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A DLL Based Clock Synthesizer with Locking Status Indicator A DLL Based Clock Synthesizer with Locking Status Indicator

  • Ryu Young-Soo;Choi Young-Shig
    • Journal of information and communication convergence engineering
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    • 제3권3호
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    • pp.142-145
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    • 2005
  • In this paper, a new programmable DLL (delay locked loop) based clock synthesizer is proposed. DLL has several inherent advantages, such as no phase accumulation error, fast locking and easy integration of the loop filter. This paper proposes a new programmable DLL that includes a PFD(phase frequency detector), a LSI(lock status indicator), and a VCDL(voltage controlled delay line) to generate multiple clocks. It can generate clocks from 3 to 9 times of input clock with $2{\mu}s$ locking time. The proposed DLL operating in the frequency range of 300MHZ-900MHz is verified by the HSPICE simulation with a $0.35{\mu}m$ CMOS process.

Use of Geographic Information System Tools for Improving Atmospheric Emission Inventories of Biogenic Source

  • Shin, Tae-joo
    • Environmental Sciences Bulletin of The Korean Environmental Sciences Society
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    • 제3권3호
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    • pp.151-158
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    • 1999
  • Biogenic source emissions refer to naturally occuring emissions from vegetation, microbial activities in soil, lightening, and so on. Vegetation is especially known to emit a considerable amout of volatile organic compounds into the atmosphere. Therefore, biogenic source emissions are an important input to photochemical air quality models. since most biogenic source emissions are calculated at the county-level, they should be geographically allocated to the computational grid cells of a photochemical air quality model prior to running the model. The traditional method for the spatial allocation for biogenic source emissions has been to use a "spatial surrogate indicator" such as a county area. In order to examine the applicability of such approximations, this study developed more detailed surrogate indicators to improve the spatial allocation method for biogenic source emissions. Due to the spatially variable nature of biogenic source emissions, Geographic Information Systems(GIS) were introduced as new tools to develop more detailed spatial surrogate indicators. Use of these newly developed spatial surrogate indicators for biogenic source emission allocation provides a better resolution than the standard spatial surrogate indicator.indicator.

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건설공사 중 토공사의 핵심 지표 체계(KPI) 구축을 위한 기초연구 (Basic Research to Establish a Key Performance Indicator(KPI) System of Earthworks during Construction Project)

  • 정용일;이찬우;강경인;조훈희
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2021년도 봄 학술논문 발표대회
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    • pp.85-86
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    • 2021
  • KPI, an indicator that measures the performance of factors that contribute to achieving strategies of individuals or organizations, is used a lot to analyze the performance of construction work. Construction work consists of individual construction types with different characteristics such as progress method, scale, and input resources, but currently, KPIs for performance analysis of individual construction types are lacking. Therefore, this study aims to obtain and analyze data for establishing construction performance analysis KPIs during construction work to prepare the basis for the creation of future construction KPIs. Preliminary KPIs for earthwork performance analysis selected through this study are expected to be the basis for deriving preliminary KPIs for other individual construction types.

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Computing input energy response of MDOF systems to actual ground motions based on modal contributions

  • Ucar, Taner
    • Earthquakes and Structures
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    • 제18권2호
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    • pp.263-273
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    • 2020
  • The use of energy concepts in seismic analysis and design of structures requires the understanding of the input energy response of multi-degree-of-freedom (MDOF) systems subjected to strong ground motions. For design purposes and non-time consuming analysis, however, it would be beneficial to associate the input energy response of MDOF systems with those of single-degree-of-freedom (SDOF) systems. In this paper, the theoretical formulation of energy input to MDOF systems is developed on the basis that only a particular portion of the total mass distributed among floor levels is effective in the nth-mode response. The input energy response histories of several reinforced concrete frames subjected to a set of eleven horizontal acceleration histories selected from actual recorded events and scaled in time domain are obtained. The contribution of the fundamental mode to the total input energy response of MDOF frames is demonstrated both graphically and numerically. The input energy of the fundamental mode is found to be a good indicator of the total energy input to two-dimensional regular MDOF structures. The numerical results computed by the proposed formulation are verified with relative input energy time histories directly computed from linear time history analysis. Finally, the elastic input energies are compared with those computed from time history analysis of nonlinear MDOF systems.

Grant-Aware Scheduling Algorithm for VOQ-Based Input-Buffered Packet Switches

  • Han, Kyeong-Eun;Song, Jongtae;Kim, Dae-Ub;Youn, JiWook;Park, Chansung;Kim, Kwangjoon
    • ETRI Journal
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    • 제40권3호
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    • pp.337-346
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    • 2018
  • In this paper, we propose a grant-aware (GA) scheduling algorithm that can provide higher throughput and lower latency than a conventional dual round-robin matching (DRRM) method. In our proposed GA algorithm, when an output receives requests from different inputs, the output not only sends a grant to the selected input, but also sends a grant indicator to all the other inputs to share the grant information. This allows the inputs to skip the granted outputs in their input arbiters in the next iteration. Simulation results using OPNET show that the proposed algorithm provides a maximum 3% higher throughput with approximately 31% less queuing delay than DRRM.