• 제목/요약/키워드: Small Domains

검색결과 195건 처리시간 0.024초

RNA Binding Protein as an Emerging Therapeutic Target for Cancer Prevention and Treatment

  • Hong, Suntaek
    • Journal of Cancer Prevention
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    • 제22권4호
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    • pp.203-210
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    • 2017
  • After transcription, RNAs are always associated with RNA binding proteins (RBPs) to perform biological activities. RBPs can interact with target RNAs in sequence- and structure-dependent manner through their unique RNA binding domains. In development and progression of carcinogenesis, RBPs are aberrantly dysregulated in many human cancers with various mechanisms, such as genetic alteration, epigenetic change, noncoding RNA-mediated regulation, and post-translational modifications. Upon deregulation in cancers, RBPs influence every step in the development and progression of cancer, including sustained cell proliferation, evasion of apoptosis, avoiding immune surveillance, inducing angiogenesis, and activating metastasis. To develop therapeutic strategies targeting RBPs, RNA interference-based oligonucleotides or small molecule inhibitors have been screened based on reduced RBP-RNA interaction and changed level of target RNAs. Identification of binding RNAs with high-throughput techniques and integral analysis of multiple datasets will help us develop new therapeutic drugs or prognostic biomarkers for human cancers.

Analysis and active control for wind induced vibration of beam with ACLD patch

  • Li, Jinqiang;Narita, Yoshihiro
    • Wind and Structures
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    • 제17권4호
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    • pp.399-417
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    • 2013
  • The structural vibration suppression with active constrained layer damping (ACLD) was widely studied recently. However, the literature seldom concerned with the vibration control on flow-induced vibration using active constrained layer. In this paper the wind induced vibration of cantilevered beam is analyzed and suppressed by using random theory together with a velocity feedback control strategy. The piezoelectric material and frequency dependent viscoelastic layer are used to achieve effective active damping in the vibration control. The transverse displacement and velocity in time and frequency domains, as well as the power spectral density and the mean-square value of the transverse displacement and velocity, are formulated under wind pressure at variable control gain. It is observed from the numerical results that the wind induced vibration can be significantly suppressed by using a small outside active voltage on the constrained layer.

Out-Of-Domain Detection Using Hierarchical Dirichlet Process

  • Jeong, Young-Seob
    • 한국컴퓨터정보학회논문지
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    • 제23권1호
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    • pp.17-24
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    • 2018
  • With improvement of speech recognition and natural language processing, dialog systems are recently adapted to various service domains. It became possible to get desirable services by conversation through the dialog system, but it is still necessary to improve separate modules, such as domain detection, intention detection, named entity recognition, and out-of-domain detection, in order to achieve stable service offer. When it misclassifies an in-domain sentence of conversation as out-of-domain, it will result in poor customer satisfaction and finally lost business. As there have been relatively small number of studies related to the out-of-domain detection, in this paper, we introduce a new method using a hierarchical Dirichlet process and demonstrate the effectiveness of it by experimental results on Korean dataset.

DG-based SPO tuple recognition using self-attention M-Bi-LSTM

  • Jung, Joon-young
    • ETRI Journal
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    • 제44권3호
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    • pp.438-449
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    • 2022
  • This study proposes a dependency grammar-based self-attention multilayered bidirectional long short-term memory (DG-M-Bi-LSTM) model for subject-predicate-object (SPO) tuple recognition from natural language (NL) sentences. To add recent knowledge to the knowledge base autonomously, it is essential to extract knowledge from numerous NL data. Therefore, this study proposes a high-accuracy SPO tuple recognition model that requires a small amount of learning data to extract knowledge from NL sentences. The accuracy of SPO tuple recognition using DG-M-Bi-LSTM is compared with that using NL-based self-attention multilayered bidirectional LSTM, DG-based bidirectional encoder representations from transformers (BERT), and NL-based BERT to evaluate its effectiveness. The DG-M-Bi-LSTM model achieves the best results in terms of recognition accuracy for extracting SPO tuples from NL sentences even if it has fewer deep neural network (DNN) parameters than BERT. In particular, its accuracy is better than that of BERT when the learning data are limited. Additionally, its pretrained DNN parameters can be applied to other domains because it learns the structural relations in NL sentences.

Comparison of Traditional Workloads and Deep Learning Workloads in Memory Read and Write Operations

  • Jeongha Lee;Hyokyung Bahn
    • International journal of advanced smart convergence
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    • 제12권4호
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    • pp.164-170
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    • 2023
  • With the recent advances in AI (artificial intelligence) and HPC (high-performance computing) technologies, deep learning is proliferated in various domains of the 4th industrial revolution. As the workload volume of deep learning increasingly grows, analyzing the memory reference characteristics becomes important. In this article, we analyze the memory reference traces of deep learning workloads in comparison with traditional workloads specially focusing on read and write operations. Based on our analysis, we observe some unique characteristics of deep learning memory references that are quite different from traditional workloads. First, when comparing instruction and data references, instruction reference accounts for a little portion in deep learning workloads. Second, when comparing read and write, write reference accounts for a majority of memory references, which is also different from traditional workloads. Third, although write references are dominant, it exhibits low reference skewness compared to traditional workloads. Specifically, the skew factor of write references is small compared to traditional workloads. We expect that the analysis performed in this article will be helpful in efficiently designing memory management systems for deep learning workloads.

유체 역학 기반 도시 기류장 예측을 위한 입력 경계 바람장 특성 연구 (A Study of the Characteristics of Input Boundary Conditions for the Prediction of Urban Air Flow based on Fluid Dynamics)

  • 이태진;이순환;이화운
    • 한국환경과학회지
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    • 제25권7호
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    • pp.1017-1028
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    • 2016
  • Wind information is one of the major inputs for the prediction of urban air flow using computational fluid dynamic (CFD) models. Therefore, the numerical characteristics of the wind data formed at their mother domains should be clarified to predict the urban air flow more precisely. In this study, the formation characteristics of the wind data in the Seoul region were used as the inlet wind information for a CFD based simulation and were analyzed using numerical weather prediction models for weather research and forecasting (WRF). Because air flow over the central part of the Korean peninsula is often controlled not only by synoptic scale westerly winds but also by the westerly sea breeze induced from the Yellow Sea, the westerly wind often dominates the entire Seoul region. Although simulations of wind speed and air temperature gave results that were slightly high and low, respectively, their temporal variation patterns agreed well with the observations. In the analysis of the vertical cross section, the variation of wind speed along the western boundary of Seoul is simpler in a large domain with the highest horizontal resolution as compared to a small domain with the same resolution. A strong convergence of the sea breeze due to precise topography leads to the simplification of the wind pattern. The same tendency was shown in the average vertical profiles of the wind speed. The difference in the simulated wind pattern of two different domains is greater during the night than in the daytime because of atmospheric stability and topographically induced mesoscale forcing.

건물의 3차원 구조체에 대한 전열해석 프로그램 개발 중 서로 다른 열전도율을 갖는 복합재질 3차원 구조의 비정렬 격자에 대한 전산해석 방법 (Numerical heat transfer analysis methodology for multiple materials with different heat transfer coefficient in unstructured grid for development of heat transfer analysis program for 3 dimensional structure of building)

  • 이주희;장진우;이현균;이용준;이규성
    • KIEAE Journal
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    • 제16권1호
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    • pp.81-87
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    • 2016
  • Purpose: Heat transfers phenomena are described by the second order partial differential equation and its boundary conditions. In a three-dimensional structure of a building, the heat transfer phenomena generally include more than one material, and thus, become complicate. The analytic solutions are useful to understand heat transfer phenomena, but they can hardly be applied in engineering or design problems. Engineers and designers have generally been forced to use numerical methods providing reliable results. Finite volume methods with the unstructured grid system is only the suitable means of the analysis for the complex and arbitrary domains. Method: To obtain an numerical solution, a discretization method, which approximates the differential equations, and the interpolation methods for temperature and heat flux between two or more materials are required. The discretization methods are applied to small domains in space and time, and these numerical solutions form the descretized equations provide approximated solutions in both space and time. The accuracy of numerical solutions is dependent on the quality of discretizations and size of cells used. The higher accuracy, the higher numerical resources are required. The balance between the accuracy and difficulty of the numerical methods is critical for the success of the numerical analysis. A simple and easy interpolation methods among multiple materials are developed. The linear equations are solved with the BiCGSTAB being a effective matrix solver. Result: This study provides an overview of discretization methods, boundary interface, and matrix solver for the 3-dimensional numerical heat transfer including two materials.

웹 기반 컴포넌트 저장소 e-BCOS 설계 및 구현 (The Design and Implementation of e-BCOS as Web based Component Repository)

  • 김국보
    • 한국지능시스템학회논문지
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    • 제15권2호
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    • pp.211-223
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    • 2005
  • 오늘날의 소프트웨어 개발 형태는 CBD(Component Based Development)를 기초로 한다. 그러나 CBD를 이용하여 새로운 컴포넌트를 구축하기 위해서는 많은 비용으로 인해, 저비용의 빠르고 정확한 컴포넌트 정보를 웹상에서 지원할 수 있는 컴포넌트 모델이 요구되고 있다. 본 논문에서는 사용자의 요구사항을 충족하는 애플리케이션을 웹상에서 신속하게 개발하는데 목적을 두고 있으며, 네트워크상에서 비즈니스 도메인을 기반으로 한 가장 소규모 단위의 분산 컴포넌트를 대상으로 인터페이스 명세를 제공하고자 한다. e-BCOS(e-Business Component System)은 사용자가 분산 컴포넌트를 등록하고 검색할 수 있는 에이전트 시스템으로서 재사용성을 증대시키고 사용자가 쉽게 컴포넌트에 관한 정보를 얻고 이해할 수 있도록 해준다. 또한 명세의 공유와 유통을 원활히 하기 위해서 XML(eXtensible Markup Language)로 명세를 표현하여 사용자의 다양한 욕구를 충족시키도록 한다.

한국 초등학생들의 성차: TIMSS 2011 2015 수학 학업성취도 평가를 통한 분석 (Gender differences in Korean elementary students: An analysis of TIMSS 2011 and 2015 fourth grade mathematics assessment)

  • 황성환;여승현
    • 한국수학교육학회지시리즈A:수학교육
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    • 제59권3호
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    • pp.217-235
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    • 2020
  • 본 연구는 TIMSS 2011와 2015 수학 성취도 평가를 바탕으로 초등학교 4학년 남녀 간의 성차가 드러나는 문항들을 내용과 인지영역에 따라 분석하였다. 연구결과, 성차가 유의미하게 차이나는 20% 문항들에서 내용 영역별 성차를 보면 남학생은 수와 측정영역에서 여학생은 도형영역에서 상대적으로 우위에 있는 것으로 나타났다. 또한 인지 영역별 성차를 보면, 남학생이 지식, 적용, 추론 영역에서 여학생보다 상대적인 우위에 있는 것으로 드러났다.

공공도서관 자료열람실 공간기준에 관한 연구 (Study on the Spatial Standard for Data Reading Rooms in Public Libraries)

  • 임호균
    • 한국실내디자인학회논문집
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    • 제22권5호
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    • pp.328-335
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    • 2013
  • This study investigated the ratios of area, according to the domains and functions, of a public library. To this end, 20 public libraries were selected as samples from the 2012 Public Library Construction Casebook and from cases of consulting on the construction and operation of public libraries. The domains of a public library were categorized into data reading, cultural education, operation, common use, and others. There was a large difference in the area ratios between public libraries that were built with the aid of consulting (Group B) and those without consulting (Group A). In functional terms, the data(bookshelf) space and reading space had similar ratios within a data reading room, while the ratio of the library information space was smaller. Within a general data reading room, the ratio of the library information space was 12%, while the ratios of the data space and seating space were 44%, respectively. Moreover, within a data reading room for children, the ratios of the library information space and children's space were adjusted to 14%, respectively, while the data space and seating space each accounted for 36%, with either 3- or 5-decker bookshelves installed. This study has identified how to calculate the area for each domain, capacity of books, and seating capacity by applying area ratios through functions in the data storage domain, along with numbers of books and seats per unit space. This study has also succeeded in calculating the required area and seats for each type of data storage room by applying the number of books that exist. However, this study has its limitation in that the regional characteristics(Metropolis, Small & medium size cities, Rural areas) were not considered because the number of samples was only 20 libraries.