http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Exploiting Language Models to Classify Events from Twitter
Vo, Duc-Thuan,Hai, Vo Thuan,Ock, Cheol-Young Hindawi Publishing Corporation 2015 Computational intelligence and neuroscience Vol.2015 No.-
<P>Classifying events is challenging in Twitter because tweets texts have a large amount of temporal data with a lot of noise and various kinds of topics. In this paper, we propose a method to classify events from Twitter. We firstly find the distinguishing terms between tweets in events and measure their similarities with learning language models such as ConceptNet and a latent Dirichlet allocation method for selectional preferences (LDA-SP), which have been widely studied based on large text corpora within computational linguistic relations. The relationship of term words in tweets will be discovered by checking them under each model. We then proposed a method to compute the similarity between tweets based on tweets' features including common term words and relationships among their distinguishing term words. It will be explicit and convenient for applying to k-nearest neighbor techniques for classification. We carefully applied experiments on the Edinburgh Twitter Corpus to show that our method achieves competitive results for classifying events.</P>
Workload Characteristics-based L1 Data Cache Switching-off Mechanism for GPUs
Thuan Cong Do(두콩튜안),Gwang Bok Kim(김광복),Cheol Hong Kim(김철홍) 한국컴퓨터정보학회 2018 韓國컴퓨터情報學會論文誌 Vol.23 No.10
Modern graphics processing units (GPUs) have become one of the most attractive platforms in exploiting high thread level parallelism with the support of new programming tools such as CUDA and OpenCL. Recent GPUs has applied cache hierarchy to support irregular memory access patterns; however, L1 data cache (L1D) exhibits poor efficiency in the GPU. This paper shows that the L1D does not always positively affect the applications in terms of performance and energy efficiency for the GPU. The performance of the GPU is even harmed by using the L1D for lots of applications. Our proposed technique exploits the characteristics of the currently-executed applications to predict the performance impact of the L1D on the GPU and then decides whether to continuously use the cache for the application or not. Our experimental results show that the proposed technique improves the GPU performance by 9.4% and saves up to 52.1% of the power consumption in the L1D.
Thuan Nguyen Van,노혁천 대한토목학회 2017 KSCE JOURNAL OF CIVIL ENGINEERING Vol.21 No.4
In this study, the stochastic finite element solution is given to obtain the response variability in the natural frequency of Functionally Graded Material (FGM) beam due to uncertain structural parameters. Among others, the elastic modulus and mass density are chosen to have randomness along the beam axis direction, which are modeled as one-dimensional homogeneous stochastic processes. The stochastic analysis of the FGM beam is performed in conjunction with Monte Carlo simulation (MCS). Random samples of random parameters are generated based on the spectral representation method. The response variability in the natural frequency of FGM beam, due not only to the single random parameter of elastic modulus or mass density but also to both of the random parameters taken into account at the same time is investigated. The effect of respective random parameters on the response variability of natural frequency and the effect of correlation between the two random parameters as well are discussed in detail.
Thuan-Hieu Tran,장우진,김영범,구윤모,김은기,윤주영,김진환 한국생물공학회 2007 Biotechnology and Bioprocess Engineering Vol.12 No.5
The effect of fluidic conditions on the bioluminescent detection of ATP in a microfluidic device was surveyed using home-made detector system. The bioluminescent reaction of ATP was directly affected by the retention time and flow rates of the solutions in this diffusion-based mixing and reaction system due to the laminar flow in the microchannel. ATP and enzyme solutions were separately injected into the microfluidic device at different flow rates through 3 inlet ports. The ATP solution was injected through the middle port, while the enzyme solution was injected in the two remaining ports. When the ratio of ATP to enzyme solution was fixed, the optimum flow rates of enzyme, ATP, and enzyme solution was 3.5, 8.0, and 3.5 μL/min, respectively. The optimal total flow rate was 15 μL/min. The detection limit for the concentration of ATP at optimal conditions was less than 10-7 M.