• 제목/요약/키워드: Multi-level model

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MB-OFDM UWB 시스템의 Link Level 및 System Level 시뮬레이션을 통한 성능 분석 (System Level and Link Level Performance Analysis for MB-OFDM UWB system)

  • 오상혁;윤상훈;정정화
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2004년도 하계종합학술대회 논문집(1)
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    • pp.305-308
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    • 2004
  • In this paper, we analyze system level and link level performance for MB-OFDM UWB system. we propose physical layer model of MB-OFDM UWB system in MBOA. For this analysis, Base-band channel model from IEEE 802.15 3a was adopted. we considered the channel index parameter to select any one of 100 distinct realizations provided by the IEEE working group. Our experimental results indicate BER values according to Es/No.

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제고분배 시스템의 서비스수준과 안전재고: 변동 수요, 변동 조달기간 모형 (Analysis of Service Level and Safety Stock for an Inventory Distribution System: Variable Demand and Variable Lead Time Model)

  • 박명규;윤승철
    • 산업경영시스템학회지
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    • 제20권42호
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    • pp.21-30
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    • 1997
  • This research fundamentally deals with an analysis of service level for a multi-level inventory distribution system which is consisted of a central distribution center and several branches being supplied stocks from the distribution center, Under continuous review policy, the distribution center places an order for planned order quantity to an outside supplier, and the order quantity is received after a certain lead time. Also, each branch places an order for particular quantity to its distribution center, and receives the order quantity after a lead time. In most practical distribution environment, demands and lead times are generally not fixed or constant, but variable. And these variabilities make the analysis more complicated. Thus, the main objective of this research is to suggest a method to compute the service level at each depot, that is, the distribution center and each branch with variable demands and variable lead times. Further, the model will give an idea to keep the proper level of safety stocks that can attain effective or expected service level for each depot.

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수요 및 조달기간의 변동을 고려한 물류 센터의 안전재고와 서비스수준 분석 (Analysis of Safety Stock and Service Level For an Distribution Center with Variable Demand Variable Lead Time Model)

  • 박명규;조용욱
    • 대한안전경영과학회지
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    • 제3권3호
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    • pp.65-75
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    • 2001
  • This research fundamentally deals with an analysis of service level for a multi-level inventory distribution system which is consisted of a central distribution center and several branches being supplied stocks from the distribution center, Under continuous review policy, the distribution center places an order for planned order quantity to an outside supplier, and the order quantity is received after a certain lead time. Also, each branch places an order for particular quantity to its distribution center, and receives the order quantity after a lead time. In most practical distribution environment, demands and lead times are generally not fixed or constant, but variable. And these variabilities make the analysis more complicated. Thus, the main objective of this research is to suggest a method to compute the service level at each depot, that is, the distribution center and each branch with variable demands and variable lead times. Further, the model will give an idea to keep the proper level of safety stocks that can attain effective or expected service level for each depot.

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다품종 소량생산 설비의 총괄생산계획에 관한 사례 연구: 시스템다이내믹스 시뮬레이션 모델링을 중심으로 (A Case Study on the Aggregate Planning of Multi-product Small-batch Production Facilities: Focusing on System Dynamics Simulation Modeling)

  • 이승도;김상원
    • 품질경영학회지
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    • 제50권1호
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    • pp.153-167
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    • 2022
  • Purpose: The purpose of this study is to guide the operation managers who plan daily production of large mass-processing facility that services multi-customers with multi-product, small-batch item characteristics by providing the practical best production quantity and the inventory allowed to build. Methods: Close observation of a subcontract paint-shop operator captured the daily decision process which was reflected in the subcontractor-unique mathematical model and the system dynamics simulation model. Multiple simulations were run to find the practical best production quantity and the maximum allowable stock level of inventory that did not undermine the profit from practical best daily production. Actual data and a few constant values were obtained from the firm under study. Results: While the inventory holding cost for the customer-owned material harms the total profit of the subcontractor, the running cost of the processing facility hinders production in small batches. This balances the maximum possible productions and results in practical best daily production which can be found through simulation runs with actual data. The maximum level of stocked inventory is deduced from the practical best daily production. Conclusion: To build a large volume that enables economy-of-scale production, operators should deal with multi-product small-batch items from multiple customers. When the planned schedule of the time and amount of material in-flow tend not to be reliable, operators can find it practical to execute level production across the planning horizon instead of adjusting to day-to-day in-flow fluctuations.

갑천유역을 대상으로 SWAT 모형의 다 변수 및 다 지점 검.보정 (Multi-variable and Multi-site Calibration and Validation of SWAT for the Gap River Catchment)

  • 김정곤;손경호;노준우;장창래;고익환
    • 한국수자원학회논문집
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    • 제39권10호
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    • pp.867-880
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    • 2006
  • 많은 수의 매개변수와 복잡한 구조를 가진 수문모형의 적용 시 세밀하고 강력한 모델 검 보정이 요구된다. 본 연구에서 금강유역에 위치한 갑천 소유역에 준 분포형 모형인 SWAT모형을 이용하여 다 목적 지점 검 보정 방법을 제시하였다. 모형의 보정 전 민감도 분석을 통한 각 소유역별로 특성 분석이 이루어 졌고, 유출에 민감한 매개변수들을 추정하였다. 그리고 최소한의 보정을 통한 모형의 유효성을 높이기 위해, 관측된 데이터로부터 매개변수 값을 선보정하는 과정을 거쳤다. 그 결과 각 소유역 별로 다른 매개변수들의 민감도가 나타났다. 관측유량에 대한 보정 단계에서 $R_{eff}$는 0.41-0.84, $R^2$은 0.5-0.86 값으로 신뢰성 있는 결과를 얻었다. Recursive digital filter로 추정된 기저 유출량을 약 2% 범위에서 산정하였다. 관측 지하수 수위와의 비교에서도 전체적으로 관측된 지하수 수위의 시간적 변동추이와 변동 폭을 잘 나타내었으며, $R^2$는 0.69로 만족스러운 결과를 보였다. 결론적으로, 다 목적 지점 방법의 사용은 모형기 구조와 추정된 매개변수들에 높은 신뢰도를 제공하였다.

독점 멀티 분류기의 심층 학습 모델을 사용한 약지도 시맨틱 분할 (Weakly-supervised Semantic Segmentation using Exclusive Multi-Classifier Deep Learning Model)

  • 최현준;강동중
    • 한국인터넷방송통신학회논문지
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    • 제19권6호
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    • pp.227-233
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    • 2019
  • 최근 딥러닝 기술의 발달과 함께 신경 네트워크는 컴퓨터 비전에서도 성공을 거두고 있다. 컨볼루션 신경망은 단순한 영상 분류 작업뿐만 아니라 객체 분할 및 검출 등 난이도가 높은 작업에서도 탁월한 성능을 보였다. 그러나 그러한 많은 심층 학습 모델은 지도학습에 기초하고 있으며, 이는 이미지 라벨보다 주석 라벨이 더 많이 필요하다. 특히 semantic segmentation 모델은 훈련을 위해 픽셀 수준의 주석을 필요로 하는데, 이는 매우 중요하다. 이 논문은 이러한 문제를 해결하기 위한 네트워크 훈련을 위해 영상 수준 라벨만 필요한 약지도 semantic segmentation 방법을 제안한다. 기존의 약지도학습 방법은 대상의 특정 영역만 탐지하는 데 한계가 있다. 반면에, 본 논문에서는 우리의 모델이 사물의 더 다른 부분을 인식하도 multi-classifier 심층 학습 아키텍처를 사용한다. 제안된 방법은 VOC 2012 검증 데이터 세트를 사용하여 평가한다.

Jointly Image Topic and Emotion Detection using Multi-Modal Hierarchical Latent Dirichlet Allocation

  • Ding, Wanying;Zhu, Junhuan;Guo, Lifan;Hu, Xiaohua;Luo, Jiebo;Wang, Haohong
    • Journal of Multimedia Information System
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    • 제1권1호
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    • pp.55-67
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    • 2014
  • Image topic and emotion analysis is an important component of online image retrieval, which nowadays has become very popular in the widely growing social media community. However, due to the gaps between images and texts, there is very limited work in literature to detect one image's Topics and Emotions in a unified framework, although topics and emotions are two levels of semantics that often work together to comprehensively describe one image. In this work, a unified model, Joint Topic/Emotion Multi-Modal Hierarchical Latent Dirichlet Allocation (JTE-MMHLDA) model, which extends previous LDA, mmLDA, and JST model to capture topic and emotion information at the same time from heterogeneous data, is proposed. Specifically, a two level graphical structured model is built to realize sharing topics and emotions among the whole document collection. The experimental results on a Flickr dataset indicate that the proposed model efficiently discovers images' topics and emotions, and significantly outperform the text-only system by 4.4%, vision-only system by 18.1% in topic detection, and outperforms the text-only system by 7.1%, vision-only system by 39.7% in emotion detection.

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Experimental investigation on multi-parameter classification predicting degradation model for rock failure using Bayesian method

  • Wang, Chunlai;Li, Changfeng;Chen, Zeng;Liao, Zefeng;Zhao, Guangming;Shi, Feng;Yu, Weijian
    • Geomechanics and Engineering
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    • 제20권2호
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    • pp.113-120
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    • 2020
  • Rock damage is the main cause of accidents in underground engineering. It is difficult to predict rock damage accurately by using only one parameter. In this study, a rock failure prediction model was established by using stress, energy, and damage. The prediction level was divided into three levels according to the ratio of the damage threshold stress to the peak stress. A classification predicting model was established, including the stress, energy, damage and AE impact rate using Bayesian method. Results show that the model is good practicability and effectiveness in predicting the degree of rock failure. On the basis of this, a multi-parameter classification predicting deterioration model of rock failure was established. The results provide a new idea for classifying and predicting rockburst.

A multi-resolution analysis based finite element model updating method for damage identification

  • Zhang, Xin;Gao, Danying;Liu, Yang;Du, Xiuli
    • Smart Structures and Systems
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    • 제16권1호
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    • pp.47-65
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    • 2015
  • A novel finite element (FE) model updating method based on multi-resolution analysis (MRA) is proposed. The true stiffness of the FE model is considered as the superposition of two pieces of stiffness information of different resolutions: the pre-defined stiffness information and updating stiffness information. While the resolution of former is solely decided by the meshing density of the FE model, the resolution of latter is decided by the limited information obtained from the experiment. The latter resolution is considerably lower than the former. Second generation wavelet is adopted to describe the updating stiffness information in the framework of MRA. This updating stiffness in MRA is realized at low level of resolution, therefore, needs less number of updating parameters. The efficiency of the optimization process is thus enhanced. The proposed method is suitable for the identification of multiple irregular cracks and performs well in capturing the global features of the structural damage. After the global features are identified, a refinement process proposed in the paper can be carried out to improve the performance of the MRA of the updating information. The effectiveness of the method is verified by numerical simulations of a box girder and the experiment of a three-span continues pre-stressed concrete bridge. It is shown that the proposed method corresponds well to the global features of the structural damage and is stable against the perturbation of modal parameters and small variations of the damage.

다목적 최적화기법을 활용한 상수도 공급계통 잔류염소농도 최적운영 모델 개발 (Development of optimization model for booster chlorination in water supply system using multi-objective optimization method)

  • 김기범;서지원;형진석;김태현;최태호;구자용
    • 상하수도학회지
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    • 제34권5호
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    • pp.311-321
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    • 2020
  • In this study, a model to optimize residual chlorine concentrations in a water supply system was developed using a multi-objective genetic algorithm. Moreover, to quantify the effects of optimized residual chlorine concentration management and to consider customer service requirements, this study developed indices to quantify the spatial and temporal distributions of residual chlorine concentration. Based on the results, the most economical operational method to manage booster chlorination was derived, which would supply water that satisfies the service level required by consumers, as well as the cost-effectiveness and operation requirements relevant to the service providers. A simulation model was then created based on an actual water supply system (i.e., the Multi-regional Water Supply W in Korea). Simulated optimizations were successful, evidencing that it is possible to meet the residual chlorine concentration demanded by consumers at a low cost.