• Journal of applied mathematics & informatics
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• v.13 no.1_2
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• pp.433-440
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• 2003

Artinian O-sequences of codimension 3 and type 3 with length 7 are classified as level or non-level. Some cases are proved to be non-level among the 334 cases which have been suspected to be level.

• International Journal of CAD/CAM
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• v.3 no.1_2
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• pp.67-75
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• 2003

Viewpoint-dependent feature-based modelling in computer-aided design is developed for the purposes of supporting engineering design representation and automation. The approach of this paper uses a combination of a multi-level modelling approach. This has two stages of mapping between models, and the multi-level model approach is implemented in three-level architecture. Top of this level is a feature-based description for each viewpoint, comprising a combination of form features and other features such as loads and constraints for analysis. The middle level is an executable representation of the feature model. The bottom of this multi-level modelling is a evaluation of a feature-based CAD model obtained by executable feature representations defined in the middle level. The mappings involved in the system comprise firstly, mapping between the top level feature representations associated with different viewpoints, for example for the geometric simplification and addition of boundary conditions associated with moving from a design model to an analysis model, and secondly mapping between the top level and the middle level representations in which the feature model is transformed into the executable representation. Because an executable representation is used as the intermediate layer, the low level evaluation can be active. The example will be implemented with an analysis model which is evaluated and for which results are output. This multi-level modelling approach will be investigated within the framework aimed for the design automation with a feature-based model.

• Journal of Information Technology Applications and Management
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• v.31 no.3
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• pp.19-37
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• 2024

Recently, companies have adopted various types of smartwork. In this study, various factors were examined to identify the main factors that can increase smartwork satisfaction, individual performance, and organizational performance. As the main variables, individual adaptability, knowledge level for smartwork, IT infrastructure level, smartwork organizational culture, and investment level in IT were selected. As a result, first, it was found that individual adaptability did not affect smartwork satisfaction and corporate performance, unlike previous studies. Second, it was found that the knowledge level for smartwork affects individual performance and organizational performance mediating smartwork satisfaction. Third, the main path of 'investment level in IT → IT infrastructure level → smartwork organizational culture → organizational performance' was found. Therefore, companies need to raise the level of knowledge for smartwork among members of the organization and educate that smartwork contributes to improving the quality of life of members. In addition, efforts should be made to build an organizational culture suitable for smartwork through IT investment and establishment of IT infrastructure.

• Physical Therapy Rehabilitation Science
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• v.11 no.4
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• pp.598-603
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• 2022

Objective: About one-third of college students are exposed to stress to the point that their academic performance is negatively affected. To provide useful information for managing the mental health of young people by analyzing the perceived stress level, depression level, and life satisfaction according to the amount of physical activity and the level of muscular strength in male college students. Design: A cross-sectional study. Methods: Among 304 students who participated in the health exercise class at Sahmyook University in Seoul, the amount of physical activity and the level of muscular strength were divided into 3 quartiles, respectively, and the perceived stress level, depression level, and life satisfaction were analyzed through one-way ANOVA. The physical activity level and muscle strength level of the subjects were ranked, divided into 3 groups, and the difference in variables according to the group was verified. Results: There was no difference in perceived stress level, depression level, and life satisfaction according to the amount of physical activity, but statistically significant differences were shown in perceived stress scale(p=0.008) and life satisfaction(p=0.030) according to muscular strength. Conclusions: Policies to increase physical activity are important to improve and manage the mental health of young people, but it is judged to be more meaningful to provide an environment that can improve muscular strength.

• Journal of the Korean Chemical Society
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• v.54 no.4
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• pp.471-478
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• 2010

This study analyzed the vocabulary level in the 'Water' unit of chemistry I textbook. It also analyzed its relevance to the 11th graders' vocabulary level. The main tool for analyzing vocabulary level was SWA(Science Word Analysis) program which was referenced the Standard Korean Dictionary and Graduated Vocabulary of Korean Language Education. The results in this study turned out to be as follows: The distribution of scientific vocabulary level increased from Level-1 to Level-3 and showed a tendency to decrease from Level-3 until Level-5. The average percentage of Out of level is the largest as 37%. The highest percentage of non-scientific vocabulary was Level-1. The distribution of non-scientific vocabulary level decreased progressively. The Level-5 and Out of level are used 18% averagely. So, there are 6 vocabularies of Level-5 and 82 vocabularies of extra-level inappropriate in scientific vocabularies. And there are 53 vocabularies of Level-5 and 145 vocabularies of Out of level inappropriate in non-scientific vocabularies. Therefore, the overall state of textbooks for grade 11 students are reasonable. But there are a great many vocabularies inappropriate for them. Those should be used minimum, and to be changed to the 1-4 of level vocabulary as stated in the student's level of understanding of appropriate vocabulary.

• School Mathematics
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• v.16 no.3
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• pp.445-469
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• 2014

This study aims to examine secondary mathematics teachers' understanding of the levels of cognitive demand on mathematical tasks suggested in mathematics textbooks. The study also attempts to investigate whether the teachers are able to characterize the tasks accordingly and to change low level tasks to high level ones. For this purpose, we developed a survey and 50 secondary mathematics teachers participated in the survey. The findings from the data analysis suggest that 59 percent of the teachers selected high level tasks as appropriate for achieving the national curricular goals, but about 1/3 of the teachers identified PNC tasks as high level ones. The results also reveal that more than half of the teachers were not able to transform low level into high level tasks and only 4 teachers out of 50 were able to transform successfully. The teachers seem to find difficulty in transforming low level tasks into high level ones.

• Nuclear Engineering and Technology
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• v.50 no.5
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• pp.627-638
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• 2018

This article describes an integrated Level 1-Level 2 probabilistic risk assessment (PRA) methodology to evaluate the radiological risk during postulated accident scenarios initiated during the decommissioning phase of a typical Mark I containment boiling water reactor. The fuel damage scenarios include those initiated while the reactor is permanently shut down, defueled, and the spent fuel is located into the spent fuel storage pool. This article focuses on the integrated Level 1-Level 2 PRA aspects of the analysis, from the beginning of the accident to the radiological release into the environment. The integrated Level 1-Level 2 decommissioning PRA uses event trees and fault trees that assess the accident progression until and after fuel damage. Detailed deterministic severe accident analyses are performed to support the fault tree/event tree development and to provide source term information for the various pieces of the Level 1-Level 2 model. Source terms information is collected from accidents occurring in both the reactor pressure vessel and the spent fuel pool, including simultaneous accidents. The Level 1-Level 2 PRA model evaluates the temporal and physical changes in plant conditions including consideration of major uncertainties. The goal of this article is to provide a methodology framework to perform a decommissioning Probabilistic Risk Assessment (PRA), and an application to a real case study is provided to show the use of the methodology. Results will be derived from the integrated Level 1-Level 2 decommissioning PSA event tree in terms of fuel damage frequency, large release frequency, and large early release frequency, including uncertainties.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.50 no.5
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• pp.309-318
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• 2005

Higher level of KCl application stimulated both leaf area index and leaf area duration in all cassava varieties, while the leaf and tuber number of the bitter varieties (high cyanide-level varieties) decreased in proportion to the level of KCl application. The root/shoot (R/S) ratio and harvest index (HI) were negatively related with the level of KCl application in all cassava varieties. The bitter varieties obtained the lowest R/S ratio at the level of 100 - 150 kg KCl $ha^{-1}$, while the sweet varieties (low cyanide-level varieties) acquired the highest values at the level of 50 - 150 kg KCl $ha^{-1}$. Also, the sweet varieties showed the lowest HI at the level of 250 kg KCl $ha^{-1}$, but the bitter varieties at the level of 150 kg KCl $ha^{-1}$. At 6 - 8 months after planting, the sweet varieties tended to obtain higher starch content of roots (tubers) at the level of 50 - 150 kg KCl $ha^{-1}$, while the bitter varieties at the level of 150 - 250 kg KCl $ha^{-1}$. Relatively lower level of 50 - 150 kg KCl $ha^{-1}$ was more appropriate for decreasing hydrocyanic acid (HCN) content of roots (tubers) in the sweet varieties at the harvest time, and the level of 250 kg KCl $ha^{-1}$ was adequate to decrease not only HCN content of leaves but also that of roots (tubers) in the bitter varieties during the growing period. To obtain higher yield and starch content of tubers, and lower HCN content of roots (tubers), it was recommended that the sweet varieties are applied with the level of 50 - 100 kg KCl $ha^{-1}$ and the bitter varieties with the level of 150 - 200 kg KCl $ha^{-1}$, respectively, in Latosol soils of Bogor areas, West Java.

• Journal of the Korean Operations Research and Management Science Society
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• v.12 no.1
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• pp.19-26
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• 1987

In analyzing time series, estimating the level or the current mean of the process plays an important role in understanding its structure and in being able to make forecasts. The studies the class of time series models where the level of the process is assumed to follow a random walk and the deviation from the level follow an ARMA process. The estimation and forecasting problem in a Bayesian framework and uses the Kalman filter to obtain forecasts based on estimates of level. In the analysis of time series, we usually make the assumption that the time series is generated by one model. However, in many situations the time series undergoes a structural change at one point in time. For example there may be a change in the distribution of random variables or in parameter values. Another example occurs when the level of the process changes abruptly at one period. In order to study such problems, the assumption that level follows a random walk process is relaxed to include a major level change at a particular point in time. The major level change is detected by examining the likelihood raio under a null hypothesis of no change and an alternative hypothesis of a major level change. The author proposes a method for estimation the size of the level change by adding one state variable to the state space model of the original Kalman filter. Detailed theoretical and numerical results are obtained for th first order autoregressive process wirth level changes.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.5 no.2
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• pp.193-199
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• 1995

This study was designed to investigate the difference of time weighted average(TWA) of noise levels and noise doses by the different operating parameter settings such as exchange rate, threshold level and criterion level for noise dosimeter in the field measurements of noise at industrial working environments. The time weighted averages of noise level and noise doses for noise working environments were determined by noise dosimeter on 80 workers employed at 20 industrial establishments of 8 industries. The results obtained were as follows: 1. The mean time weighted average(TWA) of the noise working environments by the operating parameter settings showed 93.4 dB(A) in 3 dB of exchange rate, 80 dB of threshold level and 90dB of criterion level 92.0 dB(A) in 3 dB-exchange rate, 90 dB-threshold level and 90 dB-criterion level, in 90.8 dB(A) in 5 dB of exchange rate, 80 dB of threshold level and 90 dB of criterion level, and 86.7 dB(A) in 5 dB of exchange rate, 90 dB of threshold level and 90dB of criterion level. 2. ln group of noise level less than 90 dB(A), mean TWAs of 80 dB of threshold level were significantly higher than that of 90 dB of threshold level in 3 dB and 5 dB of exchange rate. 3. The case exceeded threshold limit value of noise was 49(61.3 %) in 3dB, 80dB and 90 dB setting, 44(55.0 %) in 3 dB, 90 dB, 90 dB setting, 33(41.3 %) in 5 dB, 80dB, 90 dB setting and 26(32.5%) in 5 dB, 90 dB, 90 dB setting. Above considerations in mind, it is suggested that exchange rate and threshold level be specified in related laws and regulations in the evaluation of working environments noise.