• 제목/요약/키워드: transfer product

검색결과 560건 처리시간 0.033초

Determination of reaction kinetics during vitrification of radioactive liquid waste for different types of base glass

  • Suneel, G.;Rajasekaran, S.;Selvakumar, J.;Kaushik, Chetan P.;Gayen, J.K.;Ravi, K.V.
    • Nuclear Engineering and Technology
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    • 제51권3호
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    • pp.746-754
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    • 2019
  • Vitrification of radioactive liquid waste (RLW) provides a feasible solution for isolating radionuclides from the biosphere for an extended period. In vitrification, base glass and radioactive waste are added simultaneously into the melter. Determination of heat and mass transfer rates is necessary for rational design and sizing of melter. For obtaining an assured product quality, knowledge of reaction kinetics associated with the thermal decomposition of waste constituents is essential. In this study Thermogravimetry (TG) - Differential Thermogravimetry (DTG) of eight kinds of nitrates and two oxides, which are major components of RLW, is investigated in the temperature range of 298-1273 K in the presence of base glasses of five component (5C) and seven component (7C). Studies on thermal behavior of constituents in RLW were carried out at heating rates ranging from 10 to $40\;K\;min^{-1}$ using TG - DTG. Thermal behavior and related kinetic parameters of waste constituents, in the presence of 5C and 7C base glass compositions were also investigated. The activation energy, pre-exponential factor and order of the reaction for the thermal decomposition of 24% waste oxide loaded glasses were estimated using Kissinger method.

Identification of a Novel Function of Extract of Gingko biloba (EGb 761®) as a Regulator of PYY Secretion and FFA4 Activation

  • Kim, Hye Young;Kim, Kyong
    • Natural Product Sciences
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    • 제25권2호
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    • pp.165-171
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    • 2019
  • Although the functions of a standardized extract of Gingko biloba leaves (EGb $761^{(R)}$) has been reported with regard to neurobiological properties, no attention has been paid to the impact of EGb $761^{(R)}$ on the neuronal regulation of energy homeostasis. To evaluate the hypothesis that EGb $761^{(R)}$ affect the secretion of peptide tyrosine tyrosine (PYY) and the activation of free fatty acid receptor 4 (FFA4), which are involved in the neuronal circuitries that control energy homeostasis by inducing the transfer of information about the influx of energy to the brain, we examined whether EGb $761^{(R)}$ can stimulate PYY secretion in the enteroendocrine NCI-H716 cells and if EGb $761^{(R)}$ can activate FFA4 in FFA4-expressing cells. In NCI-H716 cells, EGb $761^{(R)}$ stimulated PYY secretion and the EGb $761^{(R)}$-induced PYY secretion was involved in the increase in intracellular $Ca^{2+}$ concentration and the activation of FFA4. Furthermore, in FFA4-expressing cells, EGb $761^{(R)}$ activated FFA4. These results suggest that EGb $761^{(R)}$ may affect the control of energy homeostasis via the regulation of PYY secretion and FFA4 activation.

열가소성 직물탄소복합소재 사출 성형품의 표면 함침 개선에 관한 연구 (A study on the improvement of impregnation on the surface of injection-molded thermoplastic woven carbon fabric composite)

  • 정의철;윤경환;이성희
    • Design & Manufacturing
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    • 제15권3호
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    • pp.39-44
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    • 2021
  • In molding of continuous fiber-reinforced thermoplastic composites, it is very difficult to impregnate between the reinforcements and the matrix since the matrix has a high melting temperature and high viscosity. Therefore, most of composite molding processes are divided in the manufacturing processes of intermediate materials called prepreg and the forming of products from intermediate materials. The divided process requires additional facilities and thermoforming, and they increase the cycle time and cost of composite products. These problems can be resolved by combining the continuous fiber-reinforced composite molding process with injection molding. However, when a composite material is manufactured by inserting woven fabric into the injection mold, poor impregnation occurs on the surface of the molded product. It affects the properties of the composites. In this paper, through an impregnation experiment using cores with different heat transfer rates and pore densities, the reason for the poor impregnation was confirmed, and molding experiments were conducted to produce composite with improved surface impregnation by inserting the mesh. And also, the surface impregnation and deformation of composites molded using different types of mesh were compared with each other.

Sentiment analysis of Korean movie reviews using XLM-R

  • Shin, Noo Ri;Kim, TaeHyeon;Yun, Dai Yeol;Moon, Seok-Jae;Hwang, Chi-gon
    • International Journal of Advanced Culture Technology
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    • 제9권2호
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    • pp.86-90
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    • 2021
  • Sentiment refers to a person's thoughts, opinions, and feelings toward an object. Sentiment analysis is a process of collecting opinions on a specific target and classifying them according to their emotions, and applies to opinion mining that analyzes product reviews and reviews on the web. Companies and users can grasp the opinions of public opinion and come up with a way to do so. Recently, natural language processing models using the Transformer structure have appeared, and Google's BERT is a representative example. Afterwards, various models came out by remodeling the BERT. Among them, the Facebook AI team unveiled the XLM-R (XLM-RoBERTa), an upgraded XLM model. XLM-R solved the data limitation and the curse of multilinguality by training XLM with 2TB or more refined CC (CommonCrawl), not Wikipedia data. This model showed that the multilingual model has similar performance to the single language model when it is trained by adjusting the size of the model and the data required for training. Therefore, in this paper, we study the improvement of Korean sentiment analysis performed using a pre-trained XLM-R model that solved curse of multilinguality and improved performance.

Evaluation of the effects of seasonal raw materials and processing stages in feed mills implementing the HACCP system on mycotoxin content in feed

  • Baek, Seung Hee;Nam, Insik
    • 대한수의학회지
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    • 제61권1호
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    • pp.7.1-7.7
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    • 2021
  • The levels of aflatoxin (AFT) and ochratoxin (OCT) were assessed at different seasons in raw materials, different feed manufacture processing stages, and animal feeds in feed mills in Korea implementing the hazard analysis and critical control point (HACCP) system. Two hundred samples were collected in all four seasons from five feed mills implementing the HACCP system and examined for AFT and OCT contents. The AFT and OCT levels were analysed by using HPLC method to provide information on raw material and product stage. The AFT content of raw ingredients in the spring season was highest in corn gluten (3.84 ppb) and lowest in corn (1.82 ppb) The AFT content of corn was highest in the winter season (2.17 ppb). The content of OCT in wheat was highest in the winter season. The amounts of AFT and OCT at processing stages were higher than in the raw materials or feed. In particular, AFT content was higher in the transfer stage (3.88 ppb) than in the mixing (2.86 ppb) or filling stages (3.45 ppb) in the summer season. The means of AFT and OCT level in laying hen feed was 3.41 ppb and 1.14 ppb for broiler feed, respectively. The means of AFT and OCT level in and broiler feeds was 3.44 ppb and 1.17 ppb for broiler feed, respectively.

Evaluating Conversion Rate from Advertising in Social Media using Big Data Clustering

  • Alyoubi, Khaled H.;Alotaibi, Fahd S.
    • International Journal of Computer Science & Network Security
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    • 제21권7호
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    • pp.305-316
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    • 2021
  • The objective is to recognize the better opportunities from targeted reveal advertising, to show a banner ad to the consumer of online who is most expected to obtain a preferred action like signing up for a newsletter or buying a product. Discovering the most excellent commercial impression, it means the chance to exhibit an advertisement to a consumer needs the capability to calculate the probability that the consumer who perceives the advertisement on the users browser will acquire an accomplishment, that is the consumer will convert. On the other hand, conversion possibility assessment is a demanding process since there is tremendous data growth across different information dimensions and the adaptation event occurs infrequently. Retailers and manufacturers extensively employ the retail services from internet as part of a multichannel distribution and promotion strategy. The rate at which web site visitors transfer to consumers is low for online retail, out coming in high customer acquisition expenses. Approximately 96 percent of web site users concluded exclusive of no shopper purchase[1].This category of conversion rate is collected from the advertising of social media sites and pages that dataset must be estimating and assessing with the concept of big data clustering, which is used to group the particular age group of people along with their behavior. This makes to identify the proper consumer of the production which leads to improve the profitability of the concern.

회전운동 제어시스템을 위한 고성능 추적제어기의 설계 (High-Performance Tracking Controller Design for Rotary Motion Control System)

  • 김영덕;박수현;류성현;송철기;이호성
    • 한국기계가공학회지
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    • 제20권11호
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    • pp.43-51
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    • 2021
  • A robust tracking controller design was developed for a rotary motion control system. The friction force versus the angular velocity was measured and modeled as a combination of linear and nonlinear components. By adding a model-based friction compensator to a nominal proportional-integral-derivative controller, it was possible to build a simulated control system model that agreed well with the experimental results. A zero-phase error tracking controller was selected as the feedforward tracking controller and implemented based on the estimated closed-loop transfer function. To provide robustness against external disturbances and modeling uncertainties, a disturbance observer was added in the position feedback loop. The performance improvement of the overall tracking controller structure was verified through simulations and experiments.

스타트업 데이터 기반의 시장융합 다이내믹스 분석: 한국을 중심으로 (A Study on Market Convergence Dynamics Based on Startup Data: Focusing on Korea)

  • 송지훈
    • 한국산업융합학회 논문집
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    • 제25권4_2호
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    • pp.627-636
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    • 2022
  • Market convergence plays an increasingly important role in sustaining competitiveness and providing impetus for the new product development. However, existing research focused mostly on the analysis of convergence at technology level. This study examines the phenomenon of market convergence based on the start-up data. Similar to the analysis of technology convergence, this study adopts the concept of co-classification analysis for constructing the co-occurrence matrix and the corresponding network. In this context, network centrality measures were calculated to assess the influence of individual market segments. Based on three metrics "growth", "persistence" and "novelty", the market convergence dynamics were explored and promising interactions between two distinct market segments were highlighted. The findings suggest that both segments "AI" and "blockchain" are acting as a driver that fosters market convergence in the startup landscape. The analysis results can provide valuable information for the R&D managers and policy makers in the design of targeted policies and programs, which can promote market convergence and interdisciplinary knowledge transfer.

UML을 이용한 PDA용 메신저 프로그램 설계 및 구현 (Design and Implementation of a Messenger Program for PDA Using UML)

  • 권영직;최군
    • 한국산업정보학회논문지
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    • 제15권5호
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    • pp.149-158
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    • 2010
  • 본 논문에서는 Use Case Diagram, Class Diagram, Activity Diagram, Sequence Diagram을 이용하여 PDA용 메신저 프로그램을 설계 및 구현하였다. PDA용 메신저 프로그램 대상으로는 PC 서버기능, 로그인기능, 친구 관리기능, 쪽지기능, 대화가능, 파일전송가능, 회원메뉴기능 등 총 7가지 기능을 선정하였다. 본 논문의 구현 결과 다음과 같은 효과를 가져왔다. 첫째, UML Diagram을 이용함으로서 개발자가 개발할 문제와 프로그래밍의 흐름을 쉽게 이해 할 수 있었다. 둘째, PDA를 자주 이용하는 사용자들은 시간의 제약을 받지 않고, 오랜 시간 동안 개발자와 커뮤니케이션을 할 수 있었다. 셋째, 객체지향 분석 단계에서는 UML Diagram의 유용성이 높았다. 넷째, 프로그램의 Update와 Maintenance가 용이하였다.

언어모델 전이학습 기반 해외 직접 구매 상품군 분류 (A Method of Classification of Overseas Direct Purchase Product Groups Based on Transfer Learning)

  • 오교중;최호진;차원석;김일구;우찬균
    • 한국정보과학회 언어공학연구회:학술대회논문집(한글 및 한국어 정보처리)
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    • 한국정보과학회언어공학연구회 2022년도 제34회 한글 및 한국어 정보처리 학술대회
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    • pp.571-575
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    • 2022
  • 본 논문에서는 통계청에서 매월 작성되는 온라인쇼핑동향조사를 위해, 언어모델 전이학습 기반 분류모델 학습 방법론을 이용하여, 관세청 제공 전자상거래 수입 목록통관 자료를 처리하기 위해서 해외 직접 구매 상품군 분류 모델을 구축한다. 최근에 텍스트 분류 태스크에서 많이 이용되는 BERT 기반의 언어모델을 이용하며 기존의 색인어 정보 분석 과정이나 사례사전 구축 등의 중간 단계 없이 해외 직접 판매 및 구매 상품군을 94%라는 높은 예측 정확도로 분류가 가능해짐을 알 수 있다.

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