• 제목/요약/키워드: selection rate

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생산효율을 고려한 상자형모터 회전자의 유효절삭조건에 관한 연구(I) (A Study on the Effective Cutting Conditions of Cage Motor Rotor Considering Production Rate ( I ))

  • 김희남;박태문;하상용;이주상;김순채
    • 한국안전학회지
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    • 제10권1호
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    • pp.9-19
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    • 1995
  • The recent development of NC lathe and machining renter have enabled automatic or unmanned manufacturing system for the improvement of production rate. And if you want to introduce automatic or unmanned manufacturing system into the cutting process of cage motor rotor, the selections of effective cutting conditions, rational tool grades and tool angles are necessary. As a result, the selection of cutting conditions, tool grades and tool angles are important factors to production rate.

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생산효율을 고려한 상자형모터회전자의 유효절삭조건에 관한 연구(II) (A Study on the Effective Cutting Conditions of Cage Motor Rotor Considering Production Rate (II))

  • 김희남;이해종;신광호;하상용
    • 한국안전학회지
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    • 제10권2호
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    • pp.46-55
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    • 1995
  • The recent development of NC lathe and machining center have enabled automatic or unmanned manufacturing system for the improvement of production rate. And if you want to introduce automatic or unmanned manufacturing system into the cutting process of cage motor rotor, the selections of effective cutting conditions, rational tool grades and tool angles are necessary. As a result, the selection of cutting conditions, tool grades and tool angles are important factors to production rate.

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선발기준에 관한 인사담당자와 대학생의 인식 차이에 관한 비교 연구 (Comparative Study on the Perception Differences in Selection Criteria Between HR Managers and University Students)

  • 오상영;김동환
    • 한국산학기술학회논문지
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    • 제12권8호
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    • pp.3503-3509
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    • 2011
  • 대학생의 취업이 매우 어려워 최근 국내에서는 청년실업이라는 이슈가 국가의 중요한 정책적인 과제가 되고 있으며 이 문제를 해결하기 위한 다양한 정책과 방안이 제시되고 있으며, 대학교에서도 다양한 차원에서 많은 시간과 노력을 기울이고 있다. 따라서 본 연구에서는 청년실업의 주요한 한 가지 원인이 되고 있는 대학생과 기업이 인식하고 있는 신입사원 선발기준을 조사하여 두 집단을 비교하였으며 분석 결과는 통계적으로 명백한 차이가 있었다. 이러한 선발기준에 대한 두 집단 간의 차이는 미스매치(miss match)의 원인이 되고 있으므로 두 주체간의 선발 기준에 관한 인식 차이를 알리고 이를 극복하기 위하여 대학생, 기업 그리고 대학교에서 취할 수 있는 구체적인 방안을 제시하였다.

선박환경에서 에너지 효율성을 고려한 TDMA기반 고속 WPAN시스템의 전송파라미터 분석 (Energy Efficient Transmission Parameters Analysis of TDMA Based HR-WPAN System for Ship Environment)

  • 박영민;이우영;이성로;이연우
    • 한국통신학회논문지
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    • 제34권9A호
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    • pp.712-718
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    • 2009
  • 본 논문에서는 선박용 해양텔레매틱스(Maritime Telematics)를 위한 무선 PAN(WPAN: Wireless Personal Area Network) 시스템의 에너지 효율성을 결정하는 전송파라미터를 분석하여 최적의 전송파라미터 선택 방안을 제시한다. 본 논문에서 고려하는 WPAN 시스템은 IEEE 802.15.3의 TDMA 기반의 HR(high rate)-WPAN으로 선박네트워크에 적용할 경우에 고려 되어야하는 전송 파라미터를 분석하고 에너지를 절약할 수 있는 전송파라미터 결정방식에 대하여 제안한다. 특히 선박환경에서 에너지 소모량과 밀접한 채널 파라미터인 경로손실(path loss)을 결정하는 선박의 구성재질(철골구조의 대형선박, FRP소재의 중소형선박)과 HR-WPAN 전송파라미터들에 따른 에너지소모량을 분석하고 에너지 효율성을 극대화할 수 있는 선택방안을 제시한다. 시뮬레이션 결과 각 선박환경에 따라 전송률 선택방식, 전송전력 조절 방식 및 데이터 분할(fragment)크기의 선택에 따라 에너지 효율성능이 결정됨을 보였고 최적의 선택방안을 제시하였다.

선박환경에서 에너지 효율성을 고려한 TDMA기반 고속 WPAN시스템의 전송파라미터 분석 (Energy Efficient Transmission Parameters Analysis of TDMA based HR-WPAN System for Ship Environment)

  • 박영민;이우영;이성로;이연우
    • 한국통신학회논문지
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    • 제34권10A호
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    • pp.769-775
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    • 2009
  • 본 논문에서는 선박용 해양텔레매틱스(Maritime Telematics)를 위한 무선 PAN(WPAN: Wireless Personal Area Network) 시스템의 에너지 효율성을 결정하는 전송파라미터를 분석하여 최적의 전송파라미터 선택 방안을 제시한다. 본 논문에서 고려하는 WPAN 시스템은 IEEE 802.15.3의 TDMA 기반의 HR(high rate)-WPAN으로 선박네트워크에 적용할 경우에 고려되어야하는 전송 파라미터를 분석하고 에너지를 절약할 수 있는 전송파라미터 결정방식에 대하여 제안한다. 특히 선박환경에서 에너지 소모량과 밀접한 채널 파라미터인 경로손실(path loss)을 결정하는 선박의 구성재질(철골구조의 대형선박, FRP소재의 중소형선박)과 HR-WPAN 전송파라미터들에 따른 에너지 소모량을 분석하고 에너지 효율성을 극대화할 수 있는 선택방안을 제시한다. 시뮬레이션 결과 각 선박환경에 따라 전송률 선택방식, 전송전력 조절 방식 및 데이터 분할(fragment)크기의 선택에 따라 에너지 효율성능이 결정됨을 보였고 최적의 선택방안을 제시하였다.

H.264/AVC에서 새로운 필터 선택 기준을 이용한 매크로 블록 기반 적응 보간 필터 방법 (Macroblock-based Adaptive Interpolation Filter Method Using New Filter Selection Criterion in H.264/AVC)

  • 윤근수;문용호;김재호
    • 한국통신학회논문지
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    • 제33권4C호
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    • pp.312-320
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    • 2008
  • H.264/AVC에서 부호화 효율 개선을 위해 매크로 블록 기반 적응 보간 방법이 고려되어졌다. 이 방법에서 필터 선택 기준은 비트율과 왜곡 항들이 고려하여 좋은 성능을 발휘하지만 아직 개선의 여지를 남겨두고 있다. 따라서 본 논문에서는 기존 방법보다 높은 부호화 효율 개선을 위해 움직임 벡터와 예측 에러에 대한 두 가지 비트율과 복원 에러를 고려하여 새로운 필터 선택 기준을 제안한다. 부가적으로 선택된 필터 정보 전송을 위한 오버헤더 (overhead)를 줄이는 알고리듬을 나타낸다. 실험 결과는 제안 방법이 기존 방법에 비하여 우수한 성능을 보이고 H.264/AVC에 비해 전체 비트율이 평균 5.19% (참조 프레임: 1개)와 5.14% (참조 프레임: 5개) 절감된다.

Performance Analysis of Distributed Antenna Systems with Antenna Selection over MIMO Rayleigh Fading Channel

  • Yu, Xiangbin;Tan, Wenting;Wang, Ying;Liu, Xiaoshuai;Rui, Yun;Chen, Ming
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제8권9호
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    • pp.3016-3033
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    • 2014
  • The downlink performance of distributed antenna systems (DAS) with antennas selection is investigated in Rayleigh fading multicell environment, and the corresponding system capacity and bit error rate (BER) analysis are presented. Based on the moment generating function, the probability density function (PDF) and cumulative distribution function (CDF) of the effective signal to interference plus noise ratio (SINR) of the system are first derived, respectively. Then, with the available CDF and PDF, the accurate closed-form expressions of average channel capacity and average BER are further derived for exact performance evaluation. To simplify the expression, a simple closed-form approximate expression of average channel capacity is obtained by means of Taylor series expansion, with the performance results close to the accurate expression. Besides, the system outage capacity is analyzed, and an accurate closed-form expression of outage capacity probability is derived. These theoretical expressions can provide good performance evaluation for DAS downlink. It can be shown by simulation that the theoretical analysis and simulation are consistent, and DAS with antenna selection outperforms that with conventional blanket transmission. Moreover, the system performance can be effectively improved as the number of receive antennas increases.

머신러닝 기반 CFS(Correlation-based Feature Selection)기법과 Random Forest모델을 활용한 BMI(Benthic Macroinvertebrate Index) 예측에 관한 연구 (A Study on the prediction of BMI(Benthic Macroinvertebrate Index) using Machine Learning Based CFS(Correlation-based Feature Selection) and Random Forest Model)

  • 고우석;윤춘경;이한필;황순진;이상우
    • 한국물환경학회지
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    • 제35권5호
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    • pp.425-431
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    • 2019
  • Recently, people have been attracting attention to the good quality of water resources as well as water welfare. to improve the quality of life. This study is a papers on the prediction of benthic macroinvertebrate index (BMI), which is a aquatic ecological health, using the machine learning based CFS (Correlation-based Feature Selection) method and the random forest model to compare the measured and predicted values of the BMI. The data collected from the Han River's branch for 10 years are extracted and utilized in 1312 data. Through the utilized data, Pearson correlation analysis showed a lack of correlation between single factor and BMI. The CFS method for multiple regression analysis was introduced. This study calculated 10 factors(water temperature, DO, electrical conductivity, turbidity, BOD, $NH_3-N$, T-N, $PO_4-P$, T-P, Average flow rate) that are considered to be related to the BMI. The random forest model was used based on the ten factors. In order to prove the validity of the model, $R^2$, %Difference, NSE (Nash-Sutcliffe Efficiency) and RMSE (Root Mean Square Error) were used. Each factor was 0.9438, -0.997, and 0,992, and accuracy rate was 71.6% level. As a result, These results can suggest the future direction of water resource management and Pre-review function for water ecological prediction.

Correlation-based Feature Selection 기법과 Random Forest 알고리즘을 이용한 한강유역 지류의 TDI 예측 연구 (A Study on Predicting TDI(Trophic Diatom Index) in tributaries of Han river basin using Correlation-based Feature Selection technique and Random Forest algorithm)

  • 김민규;윤춘경;이한필;황순진;이상우
    • 한국물환경학회지
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    • 제35권5호
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    • pp.432-438
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    • 2019
  • The purpose of this study is to predict Trophic Diatom Index (TDI) in tributaries of the Han River watershed using the random forest algorithm. The one year (2017) and supplied aquatic ecology health data were used. The data includes water quality(BOD, T-N, $NH_3-N$, T-P, $PO_4-P$, water temperature, DO, pH, conductivity, turbidity), hydraulic factors(water width, average water depth, average velocity of water), and TDI score. Seven factors including water temperature, BOD, T-N, $NH_3-N$, T-P, $PO_4-P$, and average water depth are selected by the Correlation Feature Selection. A TDI prediction model was generated by random forest using the seven factors. To evaluate this model, 2017 data set was used first. As a result of the evaluation, $R^2$, % Difference, NSE(Nash-Sutcliffe Efficiency), RMSE(Root Mean Square Error) and accuracy rate show that this model is compatible with predicting TDI. To be more concrete, $R^2$ is 0.93, % Difference is -0.37, NSE is 0.89, RMSE is 8.22 and accuracy rate is 70.4%. Also, additional evaluation using data set more than 17 times the measured point was performed. The results were similar when the 2017 data set were used. The Wilcoxon Signed Ranks Test shows there was no statistically significant difference between actual and predicted data for the 2017 data set. These results can specify the elements which probably affect aquatic ecology health. Also, these will provide direction relative to water quality management for a watershed that must be continuously preserved.

RIS Selection and Energy Efficiency Optimization for Irregular Distributed RIS-assisted Communication Systems

  • Xu Fangmin;Fu Jinzhao;Cao HaiYan;Hu ZhiRui
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제17권7호
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    • pp.1823-1840
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    • 2023
  • In order to improve spectral efficiency and reduce power consumption for reconfigurable intelligent surface (RIS) assisted wireless communication systems, a joint design considering irregular RIS topology, RIS on-off switch, power allocation and phase adjustment is investigated in this paper. Firstly, a multi-dimensional variable joint optimization problem is established under multiple constraints, such as the minimum data requirement and power constraints, with the goal of maximizing the system energy efficiency. However, the proposed optimization problem is hard to be resolved due to its property of nonlinear nonconvex integer programming. Then, to tackle this issue, the problem is decomposed into four sub-problems: topology design, phase shift adjustment, power allocation and switch selection. In terms of topology design, Tabu search algorithm is introduced to select the components that play the main role. For RIS switch selection, greedy algorithm is used to turn off the RISs that play the secondary role. Finally, an iterative optimization algorithm with high data-rate and low power consumption is proposed. The simulation results show that the performance of the irregular RIS aided system with topology design and RIS selection is better than that of the fixed topology and the fix number of RISs. In addition, the proposed joint optimization algorithm can effectively improve the data rate and energy efficiency by changing the propagation environment.