• 한국경영과학회지
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• 제29권4호
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• pp.175-187
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• 2004

We consider the simultaneous selection of part routes for multiple part types in Flexible Manufacturing Systems (FMSs). Using an optimization framework we investigate two alternative route assignment policies. The one, called routing mix policy in the literature, specifies the optimal proportion of each part type to be produced along its alternative routes, assuming that the proportions can be kept during execution. The other one, which we propose and call pallet allocation policy, partitions the pallets assigned to each part type among the routes. The optimization framework used is a nonlinear programming superimposed on a closed queueing network model of an FMS which produces multiple part types with distinct repeated visits to certain workstations. The objective is to maximize the weighted throughput. Our study shows that the simultaneous use of multiple routes leads to reduced bottleneck utilization, improved workload balance, and a significant increase in the FMS's weighted throughput, without any additional capital investments. Based on numerical work, we also conjecture that pallet allocation policy is more robust than routing mix policy, operationally easier to implement, and may yield higher revenues.

• 한국염색가공학회지
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• 제11권4호
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• pp.8-15
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• 1999

Electroconductive fiber was obtained by acryl fiber treated with $CuSO_4$. The Properties and structure of fiber and fabric such as mechanical property, electrical conductivity, fine structure, electrification were investigated. The experimental results are as follows 1) The electrical conductivity of the conducting fiber was greatly increased but fine structure and physical properties were similar to acryl fiber 2) Fabric made by mix spinning with conducting fiber was shown great electrification effect. 3) In the mix spinning with conducting fiber, it was necessary to use different. finishing such as milled finish because stiffness of fabric made by mix spinning with conducting fiber was increased and elastic recovery was decreased. 4) The antimicrobial activity of electroconductive fiber blended wool was effective by Cu component for shake flask test.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권2호
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• pp.832-854
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• 2019

Action recognition has been studied in computer vision field for years. We present an effective approach to recognize actions using a dimension reduction method, which is applied as a crucial step to reduce the dimensionality of feature descriptors after extracting features. We propose to use sparse matrix and randomized kd-tree to modify it and then propose modified Local Fisher Discriminant Analysis (mLFDA) method which greatly reduces the required memory and accelerate the standard Local Fisher Discriminant Analysis. For feature encoding, we propose a useful encoding method called mix encoding which combines Fisher vector encoding and locality-constrained linear coding to get the final video representations. In order to add more meaningful features to the process of action recognition, the convolutional neural network is utilized and combined with mix encoding to produce the deep network feature. Experimental results show that our algorithm is a competitive method on KTH dataset, HMDB51 dataset and UCF101 dataset when combining all these methods.

• 한국산학기술학회논문지
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• 제13권10호
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• pp.4832-4836
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• 2012

일반적으로 아스팔트 혼합물 배합설계는 많은 시간과 실험이 필요하다. 또한, 정밀한 배합설계 결과는 실험하는 사람의 숙련도와 밀접한 상관관계가 있다. 이러한 문제점을 해결하기 위하여 Bailey는 아스팔트 혼합물용 골재입도에 대한 연구를 통해 골재입도곡선에서 특정한 크기의 골재의 입도 및 통과중량비가 중요함을 제시하였다. 본 연구에서는 Bailey가 제안한 방법을 이용하여 19mm 밀입도 아스팔트 혼합물 및 미연방도로국의 배수성포장(PA 20mm) 혼합물에 대한 배합설계를 시행하였다. Bailey 방법을 이용한 아스팔트 혼합물용 골재입도 결정방법은 기존에 시행착오를 통합 배합설계방법에 비해 좀더 짧은 시간에 최적배합설계를 수행할 수 있음을 확인하였다. 19mm 밀입도 아스팔트 혼합물의 CA, $FA_c$, $FA_f$는 0.724, 0.440 및 0.455로 기준값을 만족하였다. PA 20mm 아스팔트 혼합물의 계산된 CA, $FA_c$, $FA_f$는 0.646, 0.476 및 0.450으로 기준값을 만족하였다.

• 자원ㆍ환경경제연구
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• 제20권2호
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• pp.335-356
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• 2011

본 연구에서는 Markowitz (1952)의 평균-분산 모형과 지배원리에 입각하여 원유, 석탄, 천연가스로 대표되는 화석에너지원의 최적 소비조합을 구축하려 하였다. 이를 위해 1달러당 열량으로 정의된 화석에너지원들의 편익변동을 동태은닉공통인자 모형을 이용하여 동행부분과 개별 에너지원의 특이적 수급상황에 기초한 변동으로 분해한 후, 그 결과에 기초하여 최적 화석에너지원의 최적 소비조합을 구성하였다. 분석결과, 평균-분산 모형에서 최적 소비조합을 의미하는 효율적 프론티어 선상의 소비조합들에서는 사회적으로 도달 가능한 최저 수준의 원유소비 비중을 유지하면서 석탄보다는 천연가스의 소비비중을 높여야 하는 것으로 나타났다. 이와 같은 결과는 현재 우리나라에서 추구하고 있는 원유 및 석탄의 소비비중 축소전략과도 일치하는 결과라 할 수 있으며, 원유소비의 비중축소가 화석에너지원의 소비로부터 얻을 수 있는 편익향상과 함께 편익변동에 따르는 경제활동의 불안정성을 축소시킬 수 있는 방법임을 지적하는 것이라 할 수 있다.

• 한국의류학회지
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• 제26권8호
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• pp.1128-1140
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• 2002

As consumers' alternatives in fashion store selection increase, they select different store types to purchase different product types. Therefore, the probability of patronage mix behavior according to product type increases. Understanding consumers patronage mix behavior, finding out the determinant attributes of fashion stores for each product type are important to retailers and marketers for building a successful merchandising and marketing strategies. Most of the previous researches in store selection and patronage assume consumer behavior as single store patronage, and thus relatively little is known about patronage mix behavior. Also, little attention has been given to product characteristics as an important variable in store patronage behavior. The purposes of this study were to determine the effects of product characteristics in consumers patronage mix behavior. In this study, a theoretical model including product characteristics as an intervening variable between store attributes and patronage behavior was developed. A Questionnaire was developed and data were collected form 464 adult women living in Seoul area in Korea. Factor analysis, paired t-test, ANOVA, Duncan test and discriminant analysis were employed to analyze the data. As a result, the suggested model was partially verified. First, the product characteristic was found to have an effect on perceived importance of store attributes and on determinant attributes of stores. Consumers were found to use different evaluative criteria for store attributes when they purchase different product types. Second, the perceived importance of store attributes was determined by consumer characteristics as well as product characteristics. Third, the determinant attributes in store selection were affected not only by the perceived importance of store attributes but also by the type of product to be purchased.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제18권2호
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• pp.263-283
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• 2024

Users' comments after online shopping are critical to product reputation and business improvement. These comments, sometimes known as e-commerce reviews, influence other customers' purchasing decisions. To confront large amounts of e-commerce reviews, automatic analysis based on machine learning and deep learning draws more and more attention. A core task therein is sentiment analysis. However, the e-commerce reviews exhibit the following characteristics: (1) inconsistency between comment content and the star rating; (2) a large number of unlabeled data, i.e., comments without a star rating, and (3) the data imbalance caused by the sparse negative comments. This paper employs Bidirectional Encoder Representation from Transformers (BERT), one of the best natural language processing models, as the base model. According to the above data characteristics, we propose the F_MixBERT framework, to more effectively use inconsistently low-quality and unlabeled data and resolve the problem of data imbalance. In the framework, the proposed MixBERT incorporates the MixMatch approach into BERT's high-dimensional vectors to train the unlabeled and low-quality data with generated pseudo labels. Meanwhile, data imbalance is resolved by Focal loss, which penalizes the contribution of large-scale data and easily-identifiable data to total loss. Comparative experiments demonstrate that the proposed framework outperforms BERT and MixBERT for sentiment analysis of e-commerce comments.

• 한국건설순환자원학회논문집
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• 제5권4호
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• pp.99-105
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• 2010

본 연구는 순환잔골재와 플라이애시 만을 사용하는 무 시멘트 모르터의 배합요인 변화가 모르터의 품질특성에 미치는 영향에 대하여 분석하였는데, 그 결과를 요약하면 다음과 같다. 굳지 않은 모르터의 특성으로 모르터 배합비 및 플로우치가 증가할수록 W/B는 높게 선정되었고, 공기량은 감소하는 경향을 나타내었다. 경화 모르터의 특성으로 재령 경과에 따른 압축강도는 14일 재령 이전까지는 강도를 발휘하지 못하다가, 이후 28일까지 재령이 경과함에 따라 약 1 ~ 2 MPa 정도의 강도값을 나타내었고, 28일 재령 이후에서는 거의 유사한 강도값을 나타내었다. 또한, 배합비 및 플로우치, B/W 변화에 따른 압축강도는 전반적으로 유사한 강도값을 나타내었다. 이상의 실험 결과를 종합하면, 순환잔골재와 플라이애시를 사용한 모르터의 경우 구조체용으로는 부적합할지라도 지반 매립재 용도로는 적합할 수 있는 강도를 확보하였는데, 특히 부배합보다는 빈배합 영역일수록 우수한 활용성이 입증되었다.

• Structural Engineering and Mechanics
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• 제59권1호
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• pp.133-151
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• 2016

Self-Compacting Concrete (SCC) has been originally developed in Japan to offset a growing shortage of skilled labors, is a highly workable concrete, which is not needed to any vibration or impact during casting. The utilizing of fibers in SCC improves the mechanical properties and durability of hardened concrete such as impact strength, flexural strength, and vulnerability to cracking. The purpose of this investigation is to determine the effect of steel fibers on mechanical performance of traditionally reinforced Self-Competing Concrete beams. In this study, two mixes Mix 1% and Mix 2% containing 1% and 2% volume friction of superplasticizer are considered. For each type of mixture, four different volume percentages of 60/30 (length/diameter) fibers of 0.0%, 1.0%, 1.5% and 2% were used. The mechanical properties were determined through compressive and flexural tests. According to the experimental test results, an increase in the steel fibers volume fraction in Mix 1% and Mix 2% improves compressive strength slightly but decreases the workability and other rheological properties of SCC. On the other hand, results revealed that flexural strength, energy absorption capacity and toughness are increased by increasing the steel fiber volume fraction. The results clearly show that the use of fibers improves the post-cracking behavior. The average spacing of between cracks decrease by increasing the fiber volume fraction. Furthermore, fibers increase the tensile strength by bridging actions through the cracks. Therefore, steel fibers increase the ductility and energy absorption capacity of RC elements subjected to flexure.

• Advances in concrete construction
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• 제3권1호
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• pp.55-69
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• 2015

Tailing Material (TM) and Fly Ash (FA) are obtained as waste products from the mining and thermal industries. Studies were carried out to explore the possibility of utilizing TM as a part replacement to fine aggregate and FA as a part replacement to cement, in concrete mixes. The effect of replacing fine aggregate by TM and cement by FA on the standard sized specimen for compressive strength, split tensile strength, and flexural strengths are evaluated in this study. The concrete mix of M40 grade was adopted with water cement ratio equal to 0.40. Concrete mix with 35% TM and 65% natural sand (TM35/S65) has shown superior performance in strength as against (TM0/S100, TM30/S70, TM40/S60, TM50/S50, and TM60/S40). For this composition, studies were performed to propose the optimal replacement of Ordinary Portland Cement (OPC) by FA (Replacement levels studied were 20%, 30%, 40% and 50%). Replacement level of 20% OPC by FA, has shown about 0-5% more compressive strength as against the control mix, for both 28 day and 56 days of water curing. Interestingly results of split tensile and flexural strengths for 20% OPC replaced by FA, have shown strengths equal to that of no replacement (control mix).