• 제목/요약/키워드: hybrid mean value

검색결과 74건 처리시간 0.026초

CATV/LAN 전송망에서 공정성을 고려한 MAC프로토콜의 성능해석에 관한 연구 (Performance Analysis of the fairmess MAC protocol under the CATV/LAN network)

  • 우상철;윤종호
    • 한국통신학회논문지
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    • 제25권1A호
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    • pp.74-80
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    • 2000
  • 본 논문에서는 초고속 통신망의 대안기술로 부각되고 있는 HFC 전속망을 기본 전송망으로 하는 CATV/LAN망에서 새로운 MAC프로토콜을 제안하고 성능해석을 수행하였다. CATV/LAN 전송망에서 주요 해석의 대상인 상향채널은 단방향 채널 특성과 단말의 위치에 따라서 우선적으로 접속되는 특성이 발생한다. 이런 전송망에서 공정성 문제를 해결하기 위하여 전송할 데이터가 발생하면 그 즉시 데이터를 전송하지 않고 Pi확률로 데이터를 전송하는 CSMA-CD/U/P(Unsoltted Pi-persistent CSMA-CD)프로토콜을 제안한다. 성능해석과 시뮬레이션 결과 전송망에서 공정성을 이루는 데이터 전송 확률값인 Pi의 분포를 구하였으며, 전송망의 공정성이 이루어 졌을 때 평균 지연 시간(mean delay time)을 구했다. 또한, 지연시간의 분산값을 구하였으며 단말의 버퍼큐에서 큐길이(queue length)분포도 구하였다. 평균 지연 시간과 큐길이 분포는 부하가 커질수록, 단말의 수가 많아 질수록 증가 하는 양상을 보인다.

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2011년 모델에 대한 정면 미국신차안전도평가 결과에 대한 통계적 분석 (Statistical Review for USNCAP Front Crash Test Results in MY2011)

  • 범현균
    • 한국자동차공학회논문집
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    • 제20권5호
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    • pp.81-87
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    • 2012
  • New car assessment program (NCAP) originated from USNCAP in 1979 has been implemented in several countries or markets, for instance USA, Europe, Korea, Japan, China and Australia. NCAP has contributed greatly to reduce accidental tolls. But recently, NCAP performance has no distinction between cars because manufacturer have been continuously developed to improve NCAP performance. Therefore, NHTSA announced new USNCAP protocol becoming effective from MY2011. NHTSA had carried out many NCAP tests based on the new test protocol and announced these test results. In this paper, USNCAP test results were reviewed by statistical method. This review was focused on passenger cars and frontal crash test results in order to investigate effect of changes in new NCAP protocol. There are two key changes, one is sited female dummy in passenger position, the other is enlarged to 4 scoring body regions in each dummy. Results of this review were summarized as followings. Performance in Passenger (12.5%) is lower than Driver's (50%) for number of 5 star vehicle. Neck injury criterion is dominant to NCAP star rating for both dummies in the mean sense. For standard deviation, chest deflection is showed largest value in driver dummy but neck injury criterion is showed for passenger's. DKAB and PKAB were equipped 28.1% and 6.2%, respectively. Consequently, the countermeasure for new USNCAP frontal crash test is essential to control well dummy kinematics with some safety features including KAB to reduce neck injuries.

교통소음지도 작성을 위한 3차원 도시모델 구축 : 항공 LiDAR와 GIS DB의 혼용 기반 (Extraction of Three-dimensional Hybrid City Model based on Airborne LiDAR and GIS Data for Transportation Noise Mapping)

  • 박태호;전범석;장서일
    • 한국소음진동공학회논문집
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    • 제24권12호
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    • pp.985-991
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    • 2014
  • The combined method utilizing airborne LiDAR and GIS data is suggested to extract 3-dimensional hybrid city model including roads and buildings. Combining the two types of data is more efficient to estimate the elevations of various types of roads and buildings than using either LiDAR or GIS data only. This method is particularly useful to model the overlapped roads around the so called spaghetti junction. The preliminary model is constructed from the LiDAR data, which can give wrong information around the overlapped parts. And then, the erratic vertex points are detected by imposing maximum vertical grade allowable on the elevated roads. For the purpose of efficiency, the erratic vertex points are corrected through linear interpolation method. To avoid the erratic treatment of the LiDAR data on the facades of buildings 2 meter inner-buffer zone is proposed to efficiently estimate the height of a building. It is validated by the mean value(=5.26 %) of differences between estimated elevations on 2 m inner buffer zone and randomly observed building elevations.

협업 필터링 추천 시스템을 위한 데이터 신뢰도 기반 가중치를 이용한 하이브리드 선호도 예측 기법 (Hybrid Preference Prediction Technique Using Weighting based Data Reliability for Collaborative Filtering Recommendation System)

  • 이오준;백영태
    • 한국컴퓨터정보학회논문지
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    • 제19권5호
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    • pp.61-69
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    • 2014
  • 협업 필터링 추천은 사용자의 아이템에 대한 선호도를 기반으로 유사 아이템 집합 또는 유사 사용자 집합을 생성하고 이를 이용해 사용자의 특정 아이템에 대한 선호도를 예측한다. 따라서 선호도 행렬이 희박할 경우, 추천의 신뢰도는 급격히 낮아진다. 본 논문에서는 위 문제를 해결하기 위해 데이터 신뢰도 기반 가중치를 이용한 하이브리드 선호도 예측 기법을 제안한다. 선호도 예측은 유사 아이템 집합과 유사 사용자 집합을 모두 생성하고 각 집합을 통해 사용자의 선호도를 예측하며, 모델의 상황을 반영한 가중치를 이용해 각 예측치를 병합하여 수행된다. 이 기법은 사용자 선호도 예측 정확도를 높이며 선호도 행렬 희박도가 높은 상황에도 추천 서비스의 신뢰도를 유지할 수 있도록 한다. 이 기법을 바탕으로 추천 시스템을 구현하고 절대평균오차를 기준으로 서비스 신뢰도 향상을 측정하였다. 실험에서 본 기법은 Hao Ji가 제안한 기존의 기법에 비해 선호도 행렬 희박도가 84% 이상인 상황에서 평균 21.7%의 성능 향상을 보여 효과적으로 행렬 희박도 문제를 해소할 수 있음을 검증하였다.

Human Error Probability Determination in Blasting Process of Ore Mine Using a Hybrid of HEART and Best-Worst Methods

  • Aliabadi, Mostafa Mirzaei;Mohammadfam, Iraj;Soltanian, Ali Reza;Najafi, Kamran
    • Safety and Health at Work
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    • 제13권3호
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    • pp.326-335
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    • 2022
  • Background: One of the important actions for enhancing human reliability in any industry is assessing human error probability (HEP). The HEART technique is a robust tool for calculating HEP in various industries. The traditional HEART has some weaknesses due to expert judgment. For these reasons, a hybrid model is presented in this study to integrate HEART with Best-Worst Method. Materials Method: In this study, the blasting process in an iron ore mine was investigated as a case study. The proposed HEART-BWM was used to increase the sensitivity of APOA calculation. Then the HEP was calculated using conventional HEART formula. A consistency ratio was calculated using BWM. Finally, for verification of the HEART-BWM, HEP calculation was done by traditional HEART and HEART-BWM. Results: In the view of determined HEPs, the results showed that the mean of HEP in the blasting of the iron ore process was 2.57E-01. Checking the full blast of all the holes after the blasting sub-task was the most dangerous task due to the highest HEP value, and it was found 9.646E-01. On the other side, obtaining a permit to receive and transport materials was the most reliable task, and the HEP was 8.54E-04. Conclusion: The results showed a good consistency for the proposed technique. Comparing the two techniques confirmed that the BWM makes the traditional HEART faster and more reliable by performing the basic comparisons.

Ensembles of neural network with stochastic optimization algorithms in predicting concrete tensile strength

  • Hu, Juan;Dong, Fenghui;Qiu, Yiqi;Xi, Lei;Majdi, Ali;Ali, H. Elhosiny
    • Steel and Composite Structures
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    • 제45권2호
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    • pp.205-218
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    • 2022
  • Proper calculation of splitting tensile strength (STS) of concrete has been a crucial task, due to the wide use of concrete in the construction sector. Following many recent studies that have proposed various predictive models for this aim, this study suggests and tests the functionality of three hybrid models in predicting the STS from the characteristics of the mixture components including cement compressive strength, cement tensile strength, curing age, the maximum size of the crushed stone, stone powder content, sand fine modulus, water to binder ratio, and the ratio of sand. A multi-layer perceptron (MLP) neural network incorporates invasive weed optimization (IWO), cuttlefish optimization algorithm (CFOA), and electrostatic discharge algorithm (ESDA) which are among the newest optimization techniques. A dataset from the earlier literature is used for exploring and extrapolating the STS behavior. The results acquired from several accuracy criteria demonstrated a nice learning capability for all three hybrid models viz. IWO-MLP, CFOA-MLP, and ESDA-MLP. Also in the prediction phase, the prediction products were in a promising agreement (above 88%) with experimental results. However, a comparative look revealed the ESDA-MLP as the most accurate predictor. Considering mean absolute percentage error (MAPE) index, the error of ESDA-MLP was 9.05%, while the corresponding value for IWO-MLP and CFOA-MLP was 9.17 and 13.97%, respectively. Since the combination of MLP and ESDA can be an effective tool for optimizing the concrete mixture toward a desirable STS, the last part of this study is dedicated to extracting a predictive formula from this model.

Germination Percentages of Different Types of Sweet Corn in Relation to Harvesting Dates

  • Lee, Myoung-Hoon
    • 한국작물학회지
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    • 제45권1호
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    • pp.55-58
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    • 2000
  • Germination of sweet and super sweet corn is lower than normal corn due to the higher sugar and lower starch contents of kernels. Sweet corn seeds are easily deteriorated in the field under the unfavorable condition, therefore it is important to identify the optimal harvesting time for seed production. This trial was conducted to investigate the responses of germination percentage of shrunken-2(sh2), brittle(bt), sugary(su), and sugary enhancer(se) hybrids in relation to harvesting dates. Eight hybrids of four different gene sweet corns were harvested at 15, 20, 25, 30, 35, 40, 45, and 50 days after silking(DAS). Germination test was performed using paper towel method. Mean germination percentages across eight hybrids showed the highest value at 45 DAS. There were significant differences among genes and within gene for germination. Shrunken-2 hybrid Mecca was higher than su hybrids for germination, indicating that sh2 would not be poorer than su Late harvesting beyond the optimal harvesting date might not be desirable because of more lodging and ear rots. Theoretical optimal harvesting date estimated from the regression equation was 40.9 DAS, however, practical date for harvesting would be a few days later than the estimated date if seedling vigor might be considered. Kernel dry weight per ear showed similar response to germination. Regression equation showed the highest kernel dry weight at 40.7 DAS. Significant correlations between kernel dry weight and germination were observed, impling that kernel dry matter accumulation would be an important factor for germination.

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산업용 터보기기 결함 진단을 위한 복합적 데이터베이스 구조의 퍼지 전문가 시스템 (A Fuzzy Expert System Based on Hybrid Database for Fault Diagnosis of Industrial Turbomachinery)

  • 백두진;김승종;김창호;장건희;이용복
    • 한국소음진동공학회논문집
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    • 제13권9호
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    • pp.703-712
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    • 2003
  • This paper suggests a fuzzy expert system for fault diagnosis of rotating machinery, based on modulated databases. In the proposed system, alarm and trip levels are set based on ISO, considering operating condition, machinery type and maintenance history. Input signals for diagnosis, such as sub-and super-harmonic components of vibration and mean value, are normalized from 0 to 1 under the threshold level and otherwise equal to one so that chronic faults slightly below the threshold level can be monitored. The database for diagnosis consists of two modules: the well-known Sohre's chart module and if-then type rules. The Sohre's chart is utilized for the most common problems of high-speed turbomachinery, while the rule-based module, which was collected from many papers and reports, is for diagnosing peculiar faults according to the type of machinery. To infer the results from two modules, a fuzzy operation of Yager sum was adopted. Using a simulator constructed in laboratory, experimental verification was performed for the cases of unbalance and resonance which were intended. The experimental results show that the proposed fuzzy expert system has feasibility in practical diagnosis of rotating machinery.

삼중자망에 의한 동해 심해 수산자원의 망목별 어획특성 (Fishing investigation with trammel nets by mesh size in the Korean deep-water of the East Sea)

  • 박해훈
    • 수산해양기술연구
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    • 제49권1호
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    • pp.1-17
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    • 2013
  • The investigation for species composition and catch in the Korean deep-water of the East Sea (also known as Sea of Japan) was carried out with trammel nets of 7 mesh sizes (6.1~24.2cm) offshore Donghae (2006) and Yangyang (2007) of Korea. The catches were 1,268kg and composed of 37 species between 200m and 1,200m in depth. The principal species caught were Taknka's snailfish, salmon snailfish, red snow crab, hunchback sculpin, snow crab, spinyhead sculpin, Tanaka's eelpout, Alaska cod and so on. Those were target fish for commercial value except salmon snailfish. The mesh sizes for the largest catch were 10.6cm and 15.2cm in the fishing ground of Donghae and Yangyang, respectively. The habitat of snow crab was shallower than that of red snow crab in both areas. Trammel net enabled to investigate fish in deep-water with small fishing vessel and rather cheap expenses in contrast to bottom trawl that required too much of it. With increasing inner mesh size of trammel net the mean size of some principal species such as Taknka's snailfish, spinyhead sculpin, hunchback sculpin, Pacific cod, snow crab, red snow crab and hybrid between snow crab and red snow crab tended to be large in certain range of mesh size.

Seed Deterioration Response of Different Genes of Sweet Corn during Long-tenn Storage

  • Lee, Myoung-Hoon
    • 한국작물학회지
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    • 제46권4호
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    • pp.317-320
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    • 2001
  • Sweet com seeds deteriorate faster due to low starch content than field com seeds when stored for a long tenn. This study had been conducted to observe the seed deterioration of four different sweet corns in a long tenn storage conditions in room temperature. Four kinds of sweet com genes (sh2, bt, su, and se) were harvested from 15 days to 50 days after silking with 5-day intervals. These seeds were stored in the room temperature and tested for germination percentages from 3 months to 18 months period with 3-month interval. su seeds germinated better than other types of gene. Hybrid Mecca which is sh2 gene germinated better when stored for 3 months to 18 months. For all genes, mean regression equations in relation to storage periods showed linear responses. For regression equation, the slope of sh2 gene was lower than that of su gene. The highest slope value was observed in bt gene showing faster deterioration rate. The rate at which seed deteriorates seems to be affected by the date at which it was harvested. The seeds that were harvested at the optimum time deteriorated more slowly than those which were not.

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