• Proceedings of the Korean Information Science Society Conference
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• 2002.04b
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• pp.409-411
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• 2002

Enterprise JavaBeans(EJB)에서 영속적인 데이터들을 표현하고 관리하는 엔티티빈의 두 가지 구현 방법은 Bean Managed Persistence(BMP)와 Container Managed Persistence(CMP)기법이있다. 이렇게 엔티티빈이 데이터 베이스와 연결되어 사용되기 때문에 생기는 특성이 있는데, 이런 특성들이 BMP 와 CMP를 사용하여 구현. 운용. 유지보수 및 재사용을 알 때 많은 차이점을 만든다. EJB를 사용하는 소프트웨어 산업계에서, 이런 차이점에 대한 연구가 부분적으로는 이루어지고 있지만, 체계적인 비교 평가는 아직 미흡한 실정이다. 본 논문에서는 BMP와 CMP를 이용해서 빈을 구현할 때 나타나는 각각의 장점과 단점을 몇 가지 측면에서 살펴본다. 그리고 그 차이를 비교함으로써 BMP 와 CMP 기법을 평가한다

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.3
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• pp.1019-1024
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• 2012

Background: Infections with human papillomavirus (HPV) are highly prevalent among sexually active young women in India. However, not much is known about the incidence of type-specific human papillomavirus (HPV) infections and their patterns of persistence, especially in the Indian context. Objective: The objective of this study was to evaluate the rate of acquisition and persistence of HPV types in young women. Methods: Women residing in an urban slum in Delhi (n=1300) were followed for 24 months at 6 monthly intervals. Exfoliated cervical cells collected at each visit were tested for the presence of HPV DNA. Genotyping was performed using the reverse line blot assay. Results: The incidence rate for any HPV type was calculated to be 5 per 1000 women-months. Among high risk HPV types, HPV16 had the highest incidence rate followed by HPV59, HPV52 and HPV18, i.e., 3.0, 0.58, 0.41 and 0.35 women per 1000 women-months respectively. The persistence rate was higher for high-risk than low-risk HPV types. Among low-risk types, HPV42, HPV62, HPV84 and HPV89 were found to persist. Whereas almost all high risk types showed persistence, the highest rate was found in women with HPV types 16, 45, 67, 31, 51 and 59. The persistence rate for HPV16 infection was 45 per 1000 women-months. Conclusion: Incident HPV infections and high risk HPV type-specific persistence were found to be high in our study population of young married women. Understanding the patterns of HPV infection may help plan appropriate strategies for prevention programs including vaccination and screening.

• Journal of the Korea Society of Computer and Information
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• v.22 no.9
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• pp.187-192
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• 2017

In this paper, we have studied scale tools for measure programming task value and learning persistence at elementary school students. In order to develop complete test tools, we have improved the completeness by revising tests through stepwise verification. The first scales were constructed based on the previous studies. As a result of the content validity test, 5 out of 14 items of the task value test tool and 1 out of 10 items of the learning persistence test were not suitable. The second test tools were constructed by revising and supplementing the first scale, and consisted of 13 items of task value and 8 items of learning persistence. As a result of the contents validity test, all the items included in the test tool proved to be valid. The reliability of the secondary testing tools were also found to be reliable at ${\alpha}=.970$ and ${\alpha}=.975$, respectively.

• Journal of Engineering Education Research
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• v.20 no.6
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• pp.3-11
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• 2017

The purpose of this study is to investigate the variables that learners should consider for learning persistence when applying blended learning to mathematics class which is a basic curriculum of engineering college. For this purpose, this study compared the basic mathematics class with the blended learning and the class without it. In addition, this study analyzed the influence of the learning outcomes of the blended learning on the willingness to learning persistence by using the self-efficacy and self-regulated learning variables that can predict it. As a result, it was found that the blended learning applied mathematics class of K university which is the subject of analysis in this study has higher self - efficacy, self - regulated learning, and learning persistence intention than general classroom. Finally, the results of this study are meaningful to provide the points to be considered for improving the learning performance when applying the blended learning to the subject class in the future.

• Proceedings of the Korean Information Science Society Conference
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• 2006.10d
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• pp.10-13
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• 2006

통신 기술의 발달로 많은 통신기기들이 하나의 채널을 공유하여 사용하게 되었다 여러 통신기기가 채널을 공유하여 사용하므로 동시에 데이터를 전송하여 발생하는 충돌 가능성이 증가하였다 이러한 충돌로 인한 네트워크 성능의 저하를 방지하기 위하여 다양한 다중 접속(Multiple Access) 기술이 연구되고 있다. CSMA(Carrier Sense Multiple Access)는 다양한 다중 접속 기술의 기반이 되는 기술이다. CSMA는 nonpersistence, 1-persistence, p-persistence와 같이 다양한 전송 방식을 지원하기 때문에 여러 네트워크 환경에 널리 적용된다. 그러나 CSMA가 다양한 네트워크 환경에 적용이 가능하지만 네트워크의 빈번한 상태 변화를 고려하여 최적의 성능을 유지하지는 못한다. CSMA의 전송 방식들은 네트워크 환경에 따라 그 성능의 변화가 심하다 본 논문에서는 동적 네트워크 환경을 고려하여 성능을 향상시키기 위한 적응형 persistence 방법을 제안한다.

• The Korean Journal of Applied Statistics
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• v.25 no.6
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• pp.1009-1018
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• 2012

Persistence homology (a type of methodology in computational algebraic topology) can be used to capture the topological characteristics of functional data. To visualize the characteristics, a persistence diagram is adopted by plotting baseline and the pairs that consist of local minimum and local maximum. We use the bottleneck distance to measure the topological distance between two different functions; in addition, this distance can be applied to multidimensional scaling(MDS) that visualizes the imaginary position based on the distance between functions. In this study, we use handwriting data (which has functional forms) to get persistence diagram and check differences between the observations by using bottleneck distance and the MDS.

• Korea-Australia Rheology Journal
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• v.12 no.1
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• pp.69-76
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• 2000

We have derived the translation diffusion coefficient and the intrinsic viscosity formula adopting the Kholodenko's theory using 3＋1 dimensional Dirac propagator in the Kirkwood and Riseman scheme. We also performed static light scattering experiments and intrinsic viscosity measurement of dilute solutions of polyimides with different rigidities. In the framework of Kholodenko's theory, we can easily measure the persistence length of polyimide. We prepared five different polyamic acids and polyimides with different degree of imidization by controlling imidization temperatures. From experimental results, we obtained molecular weights and persistence lengths according to the Kholodenko's plot. The molecular weight and the intrinsic viscosity decreased and then increased with the imidization temperature but the persistence length increased monotonically and then leveled off. The persistence lengths calculated from intrinsic viscosities showed very good agreement with those from light scattering experiments.

• Journal of Engineering Education Research
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• v.21 no.6
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• pp.13-24
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• 2018

The purpose of this research is to investigate the relationship among self-efficacy, engineering interest and social support on adjustment to college and learning persistence in first year engineering college students. The participants were 74 freshman of engineering college students, SPSS and SmartPLS were used to analyze the data. The key findings revealed were as follows: First, self-efficacy, engineering interest and social support had a significant influence on adjustment to college. Second, engineering interest and adjustment to college had a significant influence on learning persistence. This research suggested the implications for adjustment to college and learning persistence in engineering education.

• Journal of the Korean Society for Industrial and Applied Mathematics
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• v.25 no.4
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• pp.296-311
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• 2021

Topological Data Analysis (TDA), a relatively new field of data analysis, has proved very useful in a variety of applications. The main persistence tool from TDA is persistent homology in which data structure is examined at many scales. Representations of persistent homology include persistence barcodes and persistence diagrams, both of which are not straightforward to reconcile with traditional machine learning algorithms as they are sets of intervals or multisets. The problem of faithfully representing barcodes and persistent diagrams has been pursued along two main avenues: kernel methods and vectorizations. One vectorization is the Betti sequence, or Betti curve, derived from the persistence barcode. While the Betti sequence has been used in classification problems in various applications, to our knowledge, the stability of the sequence has never before been discussed. In this paper we show that the Betti sequence is unstable under the 1-Wasserstein metric with regards to small perturbations in the barcode from which it is calculated. In addition, we propose a novel stabilized version of the Betti sequence based on the Gaussian smoothing seen in the Stable Persistence Bag of Words for persistent homology. We then introduce the normalized cumulative Betti sequence and provide numerical examples that support the main statement of the paper.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.34 no.6
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• pp.303-314
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• 2022

The persistence analysis of marine physical environment factors is a basic analysis that must precede the use of sea areas as an analysis required in the coastal engineering such as downtime and design. In this study, the persistence analysis was implemented for wind speed and significant wave height data from four observation points of Deokjeokdo, Oeyeondo, Geomundo, and Geojedo among the marine meteorological observation buoys of the Korea Meteorological Administration. The persistence time means the consecutive time of observation data beyond specific level. The threshold wind speed and significant wave height were set in the range of 1~15 m/s and the range of 0.25~3.0 m, respectively. Then, the persistence time was extracted. As a result of the analysis, the persistence time of wind speed and significant wave height decreased rapidly as the reference value increased. The median persistence times under the maximum reference thresholds were assessed as a maximum of 5 hours for wind speed and a maximum of 8 hours for significant wave height. When the reference wind speed and significant wave height were 15 m/s and 3 m, respectively, the persistence time that could occur with a 1% probability were 52 and 56 hours. This study can be expanded to all coastal areas in Korea, and it is expected that various engineering applications by performing a persistence analysis of the metocean data.