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Analysis of Korea Earth Science Olympiad Items for the Enhancement of Item Quality (한국 지구과학 올림피아드 문항 분석을 통한 문항의 질 향상 방안)

  • Lee Ki-Young;Kim Chan-Jong
    • Journal of the Korean earth science society
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    • v.26 no.6
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    • pp.511-523
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    • 2005
  • The purpose of this study is to analyze the 1st and 2nd Korea Earth Science Olympiad (KESO) items, in order to find informations to enhance item quality. To do this, internal and external item classification frameworks are developed. Item difficulty (P), discrimination index (DI), correlation, and reliability are estimated by using classical test theory. Generalizability is also estimated by applying the generalizability theory. The results of item classification are as follows: (1) ‘Geology’, ‘astronomy’ and ‘data analysis and interpretation’ are dominant in content and inquiry process domain, respectively. Nearly every item has textbook context. (2) There is no difference between the preliminary and final tests in terms of their thinking skills sections. (3) As a whole, the ratio of items with pictures is high in item representation. However, multiple-choice and short answer items are more common in preliminary competition, and essay type items are found more often in final competition. The ratio of simple items is high in middle school section and preliminary competition, but composite items are dominant in high school section and final competition. The findings of item analysis are as follows: (1) In the middle school section, P is low and DI is moderate. But in the high school section, there is a considerable differences between science high schools and other high schools in general. (2) The highest correlation is reported between the scores of meteorology domain and total score in middle school, whereas in high school astronomy domain and total score show the highest correlation. (3) General high school section show the highest Cronbach $\alpha$ and generalizability. (4) General high school section show acceptable generalizability coefficient (> 0.80), but middle and science high school section should increase the number of items to reach acceptable generalizability level.

A Documentational Study of Doinqigong in The Oriental Medicine Classics (고전의서(古典醫書)에 나타난 도인기공(導引氣功) 방법(方法)에 대한 연구(硏究))

  • Kim, Hyun-Tai;Han, Chang-Hyun;Lee, Sang-Nam;Park, Ji-Ha
    • Korean Journal of Oriental Medicine
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    • v.15 no.2
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    • pp.39-50
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    • 2009
  • Objectives : Because of emphasizing a side of preventive medicine in the oriental medicine, an interest in Doinqigong(導引氣功: Physical and breathing exercise) has been elated recently. But, it has a limited sphere of application in the present south korea. Therefore we would like to bring out its sphere of application and detailed method in the oriental medicine classics. Method : We have researched theories and methods of Doinqigong in the Junghwaeujeon(中華醫典: Oriental medicine classic collections) DB according to below the procedure. (1) Making a related words list: We have used existing study of Doinqigong to make a list. It has been connected with Doinqigong. It includes not only technical terms, but also general terms. (2) Searching sentences: We have searched sentence that contain terms related with Doinqigong in the Junghwaeujeon DB. (3) Analysis of related sentences: We have searched and classified sentence by theory and method. Result : Results & Conclusion : (1) The total number of oriental medicine classics connected with Doinqigong is twelve. (2) The methods of Doinqigong have classified into three large groups: They are the Doinqigong for preservationing of good health, the Doinqigong for curing disease and the Doinqigong for internal organs and channels. (3) The number of Doinqigong for preservationing of good health in the seven oriental medicine classics is about ten. For example, the Okeumhi(五禽戱: Five animal's dance), the Paldangeum(八段錦: Eight motions of qigong) and so on. The number of oriental medicine classics connected with Doinqigong for curing disease is seven. They contain internal diseases, surgical diseases, diseases of five sensory organs and various diseases in the order of their frequency. The Doinqigong for internal organs and channels is only the Yookjageul(六字訣: Six sound's treatment).

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How Can We Erase States Inside a Black Hole?

  • Hwang, Junha;Park, Hyosub;Yeom, Dong-han;Zoe, Heeseung
    • Journal of the Korean Physical Society
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    • v.73 no.10
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    • pp.1420-1430
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    • 2018
  • We investigate an entangled system, which is analogous to a composite system of a black hole and Hawking radiation. If Hawking radiation is well approximated by an outgoing particle generated from pair creation around the black hole, such a pair creation increases the total number of states. There should be a unitary mechanism to reduce the number of states inside the horizon for black hole evaporation. Because the infalling antiparticle has negative energy, as long as the infalling antiparticle finds its partner such that the two particles form a separable state, one can trace out such a zero energy system by maintaining unitarity. In this paper, based on some toy model calculations, we show that such a unitary tracing-out process is only possible before the Page time while it is impossible after the Page time. Hence, after the Page time, if we assume that the process is unitary and the Hawking pair forms a separable state, the internal number of states will monotonically increase, which is supported by the Almheiri-Marolf-Polchinski-Sully (AMPS) argument. In addition, the Hawking particles cannot generate randomness of the entire system; hence, the entanglement entropy cannot reach its maximum. Based on these results, we modify the correct form of the Page curve for the remnant picture. The most important conclusion is this: if we assume unitarity, semi-classical quantum field theory, and general relativity, then the black hole should violate the Bekenstein-Hawking entropy bound around the Page time at the latest; hence, the infinite production arguments for remnants might be applied for semi-classical black holes, which seems very problematic.

A Fuzzy-based Risk Assessment using Uncertainty Model (불확실성 모델을 사용한 퍼지 위험도분석)

  • Choi Hyun-Ho;Seo Jong-Won;Jung Pyung-Ki
    • Proceedings of the Korean Institute Of Construction Engineering and Management
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    • autumn
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    • pp.473-476
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    • 2003
  • This paper presents a systematic risk assessment procedure with uncertainty modeling for general construction projects. Since the approach is able to effectively deal with all the related construction risks in terms of the assumed probability with conditional probability concept that systematically incorporate expert's experiences and subjective judgement, the proposed methods with uncertainty modeling is able to apply to all the construction projects inherent in lots of uncertain risk events. The fuzzy set theory is adopted to enhance risk assessment to effectively handle the vague and dynamic phenomenon of an event Therefore, the fuzzy-based risk assessment is very useful, for those countries, such as Korea, where objective probabilistic data for risk assessment is extremely rare, and thus the utilization of subjective judgmental data based on expert's experiences is inevitable.

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An Analytical Solution for Regular Progressive Water Waves

  • Shin, JangRyong
    • Journal of Advanced Research in Ocean Engineering
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    • v.1 no.3
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    • pp.157-167
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    • 2015
  • In order to provide simple and accurate wave theory in design of offshore structure, an analytical approximation is introduced in this paper. The solution is limited to flat bottom having a constant water depth. Water is considered as inviscid, incompressible and irrotational. The solution satisfies the continuity equation, bottom boundary condition and non-linear kinematic free surface boundary condition exactly. Error for dynamic condition is quite small. The solution is suitable in description of breaking waves. The solution is presented with closed form and dispersion relation is also presented with closed form. In the last century, there have been two main approaches to the nonlinear problems. One of these is perturbation method. Stokes wave and Cnoidal wave are based on the method. The other is numerical method. Dean's stream function theory is based on the method. In this paper, power series method was considered. The power series method can be applied to certain nonlinear differential equations (initial value problems). The series coefficients are specified by a nonlinear recurrence inherited from the differential equation. Because the non-linear wave problem is a boundary value problem, the power series method cannot be applied to the problem in general. But finite number of coefficients is necessary to describe the wave profile, truncated power series is enough. Therefore the power series method can be applied to the problem. In this case, the series coefficients are specified by a set of equations instead of recurrence. By using the set of equations, the nonlinear wave problem has been solved in this paper.

Optimum number of berths for Integrated Freight Terminal considering loading characteristic of trucks (화물차량의 하역특성을 고려한 복합화물터미널에 있어서 최적 berth수 산정에 관한 연구)

  • Jung, Hun-Young;Lee, Sang-Yong;Bak, Eun-Sang
    • Journal of Korean Society of Transportation
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    • v.22 no.4 s.75
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    • pp.19-30
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    • 2004
  • Due to the inefficient operation of the existing logistic facilities, the complicated distribution structure, and closed utilization of logistic information are causing high logistic costs. The general improvement in the distribution structure and the expansion of the logistic facilities are needed for solving these problems. However, existing unit-scale forecast is not considering the loading and unloading characteristics of the trucks and the improvement of operation efficiency from the mechanization and automation of the loading and unloading works. The queuing theory based on the status quo of the cargo trucks to the cargo terminals is considered in this study. The optimal scale estimation method(OSCM) which the loading and unloading characteristics of the cargo trucks were taken into consideration was suggested. Also, the relationship between the optimal scale of the cargo terminal and the mechanization, automation, and informationization of the present loading and unloading system was investigated. As a result, it showed that the regularity of the truck arrival and service times had less influence on the scale of the cargo terminal, but the improvement of the loading and unloading speeds and the service rate of the trucks did more influence on it.

Finite Element Method for Structural Concrete Based on the Compression Field Theory (압축응력장 이론을 적용한 콘크리트 유한요소법 개발)

  • 조순호
    • Computational Structural Engineering
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    • v.9 no.1
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    • pp.151-159
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    • 1996
  • A finite element formulation based on the CFT(Compression Field Theory) concept such as the effect of compression softening in cracked concrete, and macroscopic and rotating crack models etc. was presented for the nonlinear behaviour of structural concrete. In this category, tangential or secant material stiffnesses for cracked concrete were also defined and discussed in view of the iterative solution schemes for nonlinear equations. Considering the computational efficiency and the ability of modelling the post-ultimate behaviour as major concerns, the incremental displacement solution algorithm involving initial material stiffnesses and the relaxation procedure for fast convergence was adopted and formulated in a type of 8-noded quadrilateral isoparametric elements. The analysis program NASCOM(Nonlinear Analysis of structrual Concrete by FEM : Monotonic Loading) developed baed on the CFT constitutive relationships and the incremetal solution strategy described enables the predictions of strength and deformation capacities in a full range. crack patterns and their corresponding widths, and yield extents of reinforcement. As the verfication purpose of NASCOM, the prediction of Cervenka's panel test results including the load resistance and the deformation history was made. A limited number of predictions indicate a good correlation in a general sense.

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Factors Affecting the Intention to use the Favorite Channel Function: Focusing on Innate Innovativeness and Perceived Characteristics of Innovation, Viewing Behavior, and Social Influence (TV 북마킹으로서 TV 선호채널 설정기능 이용의도에 영향을 미치는 요인: 개혁성, 개혁의 특성, 시청행태 및 사회적 영향을 중심으로)

  • Lim, Hong-Gab;Chang, Byeng-Hee;Nam, Sang-Hyun;Baek, Sang-Ki
    • Korean journal of communication and information
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    • v.58
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    • pp.154-177
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    • 2012
  • Considering the growing importance of TV favorite channel setting function due to the rapid increase of number of TV channels, this study tried to find factors which affect the attitude toward and intention to use the favorite channel setting function. As related theories, this study used theory of diffusion of innovation, channel repertoire, channel changing behaviors, and social influences and suggested research hypotheses and questions based on the theories. After collecting data through online survey of 192 general audience, this study empirically analyzed the data by using multiple regression analysis. The result showed that innate innovativeness, relative advantage and social critical mass affected attitude toward using the favorite channel setting function and that compatibility, visibility, social critical mass influenced intention to use the function.

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A Sparse Data Preprocessing Using Support Vector Regression (Support Vector Regression을 이용한 희소 데이터의 전처리)

  • Jun, Sung-Hae;Park, Jung-Eun;Oh, Kyung-Whan
    • Journal of the Korean Institute of Intelligent Systems
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    • v.14 no.6
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    • pp.789-792
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    • 2004
  • In various fields as web mining, bioinformatics, statistical data analysis, and so forth, very diversely missing values are found. These values make training data to be sparse. Largely, the missing values are replaced by predicted values using mean and mode. We can used the advanced missing value imputation methods as conditional mean, tree method, and Markov Chain Monte Carlo algorithm. But general imputation models have the property that their predictive accuracy is decreased according to increase the ratio of missing in training data. Moreover the number of available imputations is limited by increasing missing ratio. To settle this problem, we proposed statistical learning theory to preprocess for missing values. Our statistical learning theory is the support vector regression by Vapnik. The proposed method can be applied to sparsely training data. We verified the performance of our model using the data sets from UCI machine learning repository.

Sensitivity Test of the Parameterization Methods of Cloud Droplet Activation Process in Model Simulation of Cloud Formation (구름방울 활성화 과정 모수화 방법에 따른 구름 형성의 민감도 실험)

  • Kim, Ah-Hyun;Yum, Seong Soo;Chang, Dong Yeong
    • Atmosphere
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    • v.28 no.2
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    • pp.211-222
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    • 2018
  • Cloud droplet activation process is well described by $K{\ddot{o}}hler$ theory and several parameterizations based on $K{\ddot{o}}hler$ theory are used in a wide range of models to represent this process. Here, we test the two different method of calculating the solute effect in the $K{\ddot{o}}hler$ equation, i.e., osmotic coefficient method (OSM) and ${\kappa}-K{\ddot{o}}hler$ method (KK). To do that, each method is implemented in the cloud droplet activation parameterization module of WRF-CHEM (Weather Research and Forecasting model coupled with Chemistry) model. It is assumed that aerosols are composed of five major components (i.e., sulfate, organic matter, black carbon, mineral dust, and sea salt). Both methods calculate similar representative hygroscopicity parameter values of 0.2~0.3 over the land, and 0.6~0.7 over the ocean, which are close to estimated values in previous studies. Simulated precipitation, and meteorological variables (i.e., specific heat and temperature) show good agreement with reanalysis. Spatial patterns of precipitation and liquid water path from model results and satellite data show similarity in general, but on regional scale spatial patterns and intensity show some discrepancy. However, meteorological variables, precipitation, and liquid water path do not show significant differences between OSM and KK simulations. So we suggest that the relatively simple KK method can be a good alternative to the OSM method that requires various information of density, molecular weight and dissociation number of each individual species in calculating the solute effect.