• Title/Summary/Keyword: EfficientNet

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Effective Thematic Words Extraction from a Book using Compound Noun Phrase Synthesis Method

  • Ahn, Hee-Jeong;Kim, Kee-Won;Kim, Seung-Hoon
    • Journal of the Korea Society of Computer and Information
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    • v.22 no.3
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    • pp.107-113
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    • 2017
  • Most of online bookstores are providing a user with the bibliographic book information rather than the concrete information such as thematic words and atmosphere. Especially, thematic words help a user to understand books and cast a wide net. In this paper, we propose an efficient extraction method of thematic words from book text by applying the compound noun and noun phrase synthetic method. The compound nouns represent the characteristics of a book in more detail than single nouns. The proposed method extracts the thematic word from book text by recognizing two types of noun phrases, such as a single noun and a compound noun combined with single nouns. The recognized single nouns, compound nouns, and noun phrases are calculated through TF-IDF weights and extracted as main words. In addition, this paper suggests a method to calculate the frequency of subject, object, and other roles separately, not just the sum of the frequencies of all nouns in the TF-IDF calculation method. Experiments is carried out in the field of economic management, and thematic word extraction verification is conducted through survey and book search. Thus, 9 out of the 10 experimental results used in this study indicate that the thematic word extracted by the proposed method is more effective in understanding the content. Also, it is confirmed that the thematic word extracted by the proposed method has a better book search result.

On-the-fly Estimation Strategy for Uncertainty Propagation in Two-Step Monte Carlo Calculation for Residual Radiation Analysis

  • Han, Gi Young;Kim, Do Hyun;Shin, Chang Ho;Kim, Song Hyun;Seo, Bo Kyun;Sun, Gwang Min
    • Nuclear Engineering and Technology
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    • v.48 no.3
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    • pp.765-772
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    • 2016
  • In analyzing residual radiation, researchers generally use a two-step Monte Carlo (MC) simulation. The first step (MC1) simulates neutron transport, and the second step (MC2) transports the decay photons emitted from the activated materials. In this process, the stochastic uncertainty estimated by the MC2 appears only as a final result, but it is underestimated because the stochastic error generated in MC1 cannot be directly included in MC2. Hence, estimating the true stochastic uncertainty requires quantifying the propagation degree of the stochastic error in MC1. The brute force technique is a straightforward method to estimate the true uncertainty. However, it is a costly method to obtain reliable results. Another method, called the adjoint-based method, can reduce the computational time needed to evaluate the true uncertainty; however, there are limitations. To address those limitations, we propose a new strategy to estimate uncertainty propagation without any additional calculations in two-step MC simulations. To verify the proposed method, we applied it to activation benchmark problems and compared the results with those of previous methods. The results show that the proposed method increases the applicability and user-friendliness preserving accuracy in quantifying uncertainty propagation. We expect that the proposed strategy will contribute to efficient and accurate two-step MC calculations.

An Evaluation Method for Tornado Missile Strike Probability with Stochastic Correlation

  • Eguchi, Yuzuru;Murakami, Takahiro;Hirakuchi, Hiromaru;Sugimoto, Soichiro;Hattori, Yasuo
    • Nuclear Engineering and Technology
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    • v.49 no.2
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    • pp.395-403
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    • 2017
  • An efficient evaluation method for the probability of a tornado missile strike without using the Monte Carlo method is proposed in this paper. A major part of the proposed probability evaluation is based on numerical results computed using an in-house code, Tornado-borne missile analysis code, which enables us to evaluate the liftoff and flight behaviors of unconstrained objects on the ground driven by a tornado. Using the Tornado-borne missile analysis code, we can obtain a stochastic correlation between local wind speed and flight distance of each object, and this stochastic correlation is used to evaluate the conditional strike probability, $Q_V(r)$, of a missile located at position r, where the local wind speed is V. In contrast, the annual exceedance probability of local wind speed, which can be computed using a tornado hazard analysis code, is used to derive the probability density function, p(V). Then, we finally obtain the annual probability of tornado missile strike on a structure with the convolutional integration of product of $Q_V(r)$ and p(V) over V. The evaluation method is applied to a simple problem to qualitatively confirm the validity, and to quantitatively verify the results for two extreme cases in which an object is located just in the vicinity of or far away from the structure.

Destruction of Giant Molecular Clouds by UV Radiation Feedback from Massive Stars

  • Kim, Jeong-Gyu;Kim, Woong-Tae;Ostriker, Eve C.;Skinne, M. Aaron
    • The Bulletin of The Korean Astronomical Society
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    • v.43 no.1
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    • pp.43.1-43.1
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    • 2018
  • Star formation in galaxies predominantly takes place in giant molecular clouds (GMCs). While it is widely believed that UV radiation feedback from young massive stars can destroy natal GMCs by exciting HII regions and driving their expansion, our understanding on how this actually occurs remains incomplete. To quantitatively assess the effect of UV radiation feedback on cloud disruption, we conduct a series of theoretical studies on the dynamics of HII regions and its role in controlling the star formation efficiency (SFE) and lifetime of GMCs in a wide range of star-forming environments. We first develop a semi-analytic model for the expansion of spherical dusty HII regions driven by the combination of gas and radiation pressures, finding that GMCs in normal disk galaxies are destroyed by gas-pressure driven expansion with SFE < 10%, while more dense and massive clouds with higher SFE are disrupted primarily by radiation pressure. Next, we turn to radiation hydrodynamic simulations of GMC dispersal to allow for self-consistent star formation as well as inhomogeneous density and velocity structures arising from supersonic turbulence. For this, we develop an efficient parallel algorithm for ray tracing method, which enables us to probe a range of cloud masses and sizes. Our parameter study shows that the net SFE, lifetime (measured in units of free-fall time), and the importance of radiation pressure (relative to photoionization) increase primarily with the initial surface density of the cloud. Unlike in the idealized spherical model, we find that the dominant mass loss mechanism is photoevaporation rather than dynamical ejection and that a significant fraction of radiation escapes through low optical-depth channels. We will discuss the astronomical.

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Partial Scan Performance Evaluation of Iterative Method of Testability Measurement(ITEM) (시험성 분석 기법(ITEM)의 부분 스캔 성능 평가)

  • 김형국;이재훈;민형복
    • Journal of the Korean Institute of Telematics and Electronics C
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    • v.35C no.11
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    • pp.11-20
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    • 1998
  • Testability analysis computes controllabilities and observabilities of all lines of a circuit and then evaluates fault coverage. The values of controllability and observability as well as fault coverage produced by testability analysis are used for applications of testability analysis. ITEM was evaluated as a fault coverage tool. But the values of controllability and observability at all lines of circuits must be estimated as a performance measure of testability tools for another application such as partial scan. In this paper, partial scan method based on sensitivity analysis which estimates relative improvement of detectability of circuits after scanning a flip-flop is used for performance evaluation of ITEM. Performance of ITEM, with respect to testability values on each net, has been measured by comparing ITEM and STAFAN. Partial scan performance achieved by ITEM is very similar to that of STAFAN, but ITEM takes less CPU time. Therefore ITEM is very efficient for partial scan application because ITEM runs faster for very large circuits in which execution time is critical.

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The Effects of Dietary Urea on Microbial Populations in the Rumen of Sheep

  • Kanjanapruthipong, J.;Leng, R.A.
    • Asian-Australasian Journal of Animal Sciences
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    • v.11 no.6
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    • pp.661-672
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    • 1998
  • Two experiments were conducted to examine the effects of a range of concentrations of ruminal fluid ammonia ($NH_3$-N) on forage digestibility, microbial growth efficiency and the mix of microbial species. Urea was either continuously infused directly into the rumen of sheep fed 33.3 glh of oaten chaff (Exp. I) or sprayed onto the oaten chaff (750 g/d) given once daily (Exp. 2). Concentrations of $NH_3$-N increased with incremental addition of urea (p < 0.01). Volatile fatty acids (VFA) concentrations and 24 h in sacco organic matter digestibility in the rumen were higher when supplemental urea was given (p < 0.01). The (C2 + C4) : C3 VFA ratio was lower (p < 0.05) when $NH_3$-N was above 200 mgN/I. The fungal sporangia appearing on oat leaf blades were significantly higher when urea was supplemented, indicating that $NH_3$-N was a growthlimiting nutrient for fungi at levels of $NH_3$-N below 30 mgN/l. The density of protozoa was highest when $NH_3$-N concentrations were adjusted to 30 mgN/I for continuously fed ($4.4{\times}10^5/ml$) and to 168 mgN/1 for once daily feeding ($2.9{\times}10^5/ml$). Thereafter increasing concentrations of $NH_3$-N, were associated with a concomitant decline in protozoal densities. At the concentration of $NH_3$-N above 200 mgN/l, the density of protozoa was similar to the density of protozoa in ruminal fluid of the control sheep ($1.8{\times}10^5/ml$). The efficiency of net microbial protein synthesis in the rumen calculated from purine excretion was 17-47% higher when the level of $NH_3$-N was above 200 mgN/1. The possibilities are that 1) there is less bacterial cell lysis in the rumen because of the concomitant decrease in the protozoal pool and/or 2) microbial growth per se in the rumen is more efficient with increasing $NH_3$-N concentrations.

A Study on Efficient Distributed Data Processing POS System of PKI Based (PKI 기반의 효율적인 분산처리 Point of sales 시스템에 관한 연구)

  • Park Gil-Cheol;Kim Seok-Soo;Kang Min-Gyun
    • The Journal of the Korea Contents Association
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    • v.5 no.5
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    • pp.43-50
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    • 2005
  • POS system that become that is supply net administration and computerization fetters of customer management that become point in istribution network constructed database and use XML-Encryption that is certificate techniques of PKI and standard of security for security that is XML's shortcoming and design distributed processing POS system using XML for data integration by introduction of Ubiquitous concept. This POS system has four advantages. First, Because there is no server, need not to attempt authentication and data transmission every time. Second, can integrate data base by XML and improve portability of program itself. Third, XML data in data transmission because transmit data after encryption data safe .Fourth, After encode whenever process data for data breakup anger of POS system client program and elevation of the processing speed, transmit at because gathering data at data transmission.

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Development of an E-learning Education Program for Preventing Nursing Errors and Adverse Events of Operating Room Nurses (수술실의 간호오류 및 과오 예방을 위한 E-learning 실무교육 프로그램의 개발 및 평가)

  • Kim, Jung-Soon;Kim, Myung-Soo;Hwang, Sun-Kyung
    • Korean Journal of Adult Nursing
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    • v.17 no.5
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    • pp.697-708
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    • 2005
  • Purpose: This study was to develop, implement, and evaluate an e-learning education program for improving practical knowledge and preventing nursing errors and adverse events of nurses working in the operating room (OR). Method: The e-learning program was developed and evaluated according to the following processes: 1) preparation phase 2) implementation phase 3) evaluation phase. In evaluation phase, the effectiveness was analyzed based on the Kirkpatrick's model. Results: The e-learning program consisted of OR basic nursing skills and techniques and nursing activities' manual based on the categories of nursing errors: surgical operation preparation, nursing skills and techniques, environment management, patient safety and comfort, and patient monitoring. The program was provided through on-line, http://cafe.daum.net/pnuhorn, for 4 weeks. The mean score(percent) of participants' satisfaction was $21.24{\pm}1.71$(68.2%). Their total knowledge level was significantly improved(Z=-3.00, p=.003) and specifically in the category of environment management(Z=-3.77, p<.001) and patient monitoring(Z=-2.46, p=.014). The occurrence of nursing errors or adverse events was a little decreased, but not statistically significant(Z=-3.10, p=.756). Conclusion: E-learning for nurses is one way of effective and efficient teaching-learning strategies. For better e-learning, it is important to develop the vital content of the education and objective measures for detecting nursing errors and adverse events.

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A Study on the Korean Continuous Speech Recognition using Adaptive Pruning Algorithm and PDT-SSS Algorithm (적응 프루닝 알고리즘과 PDT-SSS 알고리즘을 이용한 한국어 연속음성인식에 관한 연구)

  • 황철준;오세진;김범국;정호열;정현열
    • Journal of Korea Multimedia Society
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    • v.4 no.6
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    • pp.524-533
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    • 2001
  • Efficient continuous speech recognition system for practical applications requires that the processing be carried out in real time and high recognition accuracy. In this paper, we study the acoustic models by adopting the PDT-SSS algorithm and the language models by iterative learning so as to improve the speech recognition accuracy. And the adaptive pruning algorithm is applied to the continuous speech. To verify the effectiveness of proposed method, we carried out the continuous speech recognition for the Korean air flight reservation task. Experimental results show that the adopted algorithm has the average 90.9% for continuous speech recognition and the average 90.7% for word recognition accuracy including continuous speech. And in case of adopting the adaptive pruning algorithm to continuous speech, it reduces the recognition time of about 1.2 seconds(15%) without any loss of accuracy. From the result, we proved the effectiveness of the PDT-SSS algorithm and the adaptive pruning algorithm.

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The Relationship among Stress in Clinical Practice, Depression and Self-Esteem in Nursing College Students (간호대학생의 임상실습 스트레스, 우울 및 자아존중감과의 관계)

  • Kim, So Young;Lim, Sun Young;Choi, Hye mi
    • The Journal of the Convergence on Culture Technology
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    • v.1 no.4
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    • pp.59-64
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    • 2015
  • This study investigated the relationship among stress in clinical practice, depression and self-esteem of the nursing college students. The move to seek the direction of nursing education in order to improve the formulation and self-esteem and reduce depression of the nursing college students. This study was conducted among 200 people attending and nursing college students as a correlation research. Data collection period was from May 1, 2015 to May 31, Data were analyzed by t-values, Correlation coefficient using the SPSS Program 18.0. Stress in clinical practice, depression and self-esteem of the nursing college students showed a correlation between net. Therefore, to improve the nursing students' self-esteem so that you can form a desirable professional intuition is needed to decrease the stress in clinical practice and depression development and application of efficient clinical educational programs.