• Journal of KIISE:Software and Applications
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• v.27 no.1
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• pp.13-23
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• 2000

As software becomes more complicated and large-scaled, user's demands become more varied and his expectation levels about software products are raised. Therefore it is very important that a software engineer analyzes user's requirements precisely and applies it effectively in the development step. This paper presents a requirements analysis system that reduces and revises errors of requirements specifications analysis effectively. As this system measures the similarity among requirements documents and sentences, it assists users in analyzing the dependency among requirements specifications and finding the traceability, redundancy, inconsistency and incompleteness among requirements sentences. It also extracts sentences that contain ambiguous words. Indexing method for the similarity measurement combines sliding window model and dependency structure model. This method can complement each model's weeknesses. This paper verifies the efficiency of similarity measure techniques through experiments and presents a proccess of the requirements specifications analysis using the embodied system.

• Korean Journal of Cognitive Science
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• v.19 no.1
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• pp.1-15
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• 2008

Analyzing of dependency relation among clauses is one of the most critical parts in parsing Korean sentences because it generates severe ambiguities. To get successful results of analyzing dependency relation, this task has been the target of various machine learning methods including SVM. Especially, kernel methods are usually used to analyze dependency relation and it is reported that they show high performance. This paper proposes an expression and a composit kernel for dependency analysis of Korean clauses. The proposed expression adopts a composite kernel to obtain the similarity among clauses. The composite kernel consists of a parse tree kernel and a liner kernel. A parse tree kernel is used for treating structure information and a liner kernel is applied for using lexical information. the proposed expression is defined as three types. One is a expression of layers in clause, another is relation expression between clause and the other is an expression of inner clause. The experiment is processed by two steps that first is a relation expression between clauses and the second is a expression of inner clauses. The experimental results show that the proposed expression achieves 83.31% of accuracy.

• Journal of Korean Academy of Nursing
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• v.36 no.3
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• pp.561-570
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• 2006

Purpose: This study attempted to identify influential variables on smoking temptation between groups: adolescent smokers and adult smokers. Method: A survey was conducted with 376 adolescent smokers in 4 high schools and 451 adult smokers in community settings in South Korea. Univariate statistics and regression were used for data analysis. Result: The most powerful predictor of smoking temptation for adolescent smokers was nicotine dependency. On the other hand, the most powerful predictor of smoking temptation for adult smokers was self-efficacy for smoking abstinence. In the high smoking temptation group, depression and nicotine dependency were the predictors for smoking temptation for adolescent smokers and nicotine dependency and pros for smoking were the predictors for smoking temptation for adult smokers. In the low smoking temptation group, cons for smoking and process of change for smoking abstinence were the predictors on smoking temptation for adolescent smokers and self-efficacy for smoking abstention and pros for smoking were the predictors on smoking temptation for adult smokers. Conclusion: There were different influential variables on smoking temptation according to age groups and level of smoking temptation. Smoking-cessation interventions should be tailored to the level of smoking temptation of the individual smokers.

• Child Health Nursing Research
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• v.25 no.2
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• pp.165-174
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• 2019

Purpose: This study investigated differences in the relationships of factors including emotional problems, self-perception, parental behavior, and peer attachment with smartphone dependency (SD) among middle school, high school, and college students in South Korea. Methods: This study used data from a nationwide sample of 1,882 middle school, 1,821 high school, and 1,346 college students who owned smartphones. Descriptive statistics and multiple regression analysis were conducted to investigate the predictors of SD based on school level. Results: SD scores significantly differed across school levels. Female gender, more aggressive behavior, less ego-identity, and less monitoring parental behavior were linked to higher SD at all school levels. Less self-esteem and intrusive parental behavior were linked to SD in middle school students. In high school students, additional factors related to higher levels of SD were resilience, intrusive / inconsistent parental behavior, peer trust and alienation, and depression. Additionally, resilience, over-expectant parental behavior, and peer trust were linked to higher SD in college students. Conclusion: This study provides insights into SD and predictors of SD among middle school, high school, and college students. Based on these findings, SD prevention programs should be developed according to the developmental stages of adolescents and young adults.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.24 no.3
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• pp.200-208
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• 2017

Purpose: The purpose of this study was to investigate the occurrence of first onset of constipation during the rehabilitation stage and risk factors for constipation in patients with cerebral vascular disease (CVD). Methods: Participants for this retrospective study were 214 CVD patients admitted to rehabilitation units. First onset of constipation and factors influencing constipation such as dependency level were recorded for 14 days during the rehabilitation stage. Survival analysis with Cox proportional hazard model and descriptive statistics were conducted. Results: Age, patients' severity, types of diet, and dependency level were different between constipation and non-constipation groups. In survival analysis, 99% of participants developed constipation within 14 days after admission to rehabilitation units. Median constipation occurrence time was 7.4 days. Patients who were immobile and had tube feedings were more likely to develop constipation 4.07 times (95% CI: 1.018~16.301, p=.047) and 2.09 times (95% CI: 1.001~4.377, p=.050) respectively compared to patients who were independent and had a regular diet, respectively. Conclusion: Most CVD patients experienced constipation within 2 weeks after entering the rehabilitation stage. Constipation was linked to types of diet and dependency level. These factors associated with constipation should be considered when caring for patients in rehabilitation.

• Journal of KSNVE
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• v.6 no.1
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• pp.71-82
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• 1996

The finite element analysis for rotor bearing systems has been an essential tool for design, identification, and diagnosis of rotating machinery. Among others, the unbalance response analysis is fundamental in the vibration analysis of rotor bearing systems because rotating unbalance is recognized as a common sourve of vibration in rotating machinery. However there still remains a problem in the aspect of computational efficiency for unbalance response analysis of large rotor bearing systems. Gyroscopic terms and local bearing parameters in rotor bearing systems often make matters worse in unbalance response computation due to the complicated dynamic properties such as rotational speed dependency and/or anisotropy. The present paper proposes an efficient method for unbalance responses of multi-span rotor bearing systems. An improved substructure synthesis scheme is introduced which makes it possible to compute unbalance responses of the system by coupling unbalance responses of substructures that are of self adjoint problem with small order matrices. The present paper also suggests a scheme to easily deal with gyroscopic tems and local, coupling or bearing parameters. The proposed method causes no errors even though the computational effort is reduced drastically. The present method is demonstrated through three test examples.

• Communications for Statistical Applications and Methods
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• v.18 no.6
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• pp.771-785
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• 2011

Most studies on the joint life insurance assume the lifetimes of insurers to be mutually independent; however, there have been various studies that illustrate the dependency of insurers' lifetimes. Subsequently, some approaches to model this type of dependency have been suggested. This paper proposes a joint dependent lifetime distribution for coupled lives under common environmental effect and applies the proposed model to the study of the joint life insurance. In addition, we investigate the effect of the false assumption of independent lifetimes when there exists dependency between the insurers' lifetimes assumed in this paper.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.5
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• pp.1881-1903
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• 2015

With the fast-developing of mobile terminals, positioning techniques based on fingerprinting method draws attention from many researchers even world famous companies. To conquer some shortcomings of the existing fingerprinting systems and further improve its performance, we propose a radio map building and updating technique, which is able to customize the spatial and temporal dependency of radio maps. The method includes indoor propagation and penetration modeling and the analysis of human traffic. Based on the combination of Ray-Tracing Algorithm, Finite-Different Time-Domain and Rough Set Theory, the approach of indoor propagation modeling accurately represents the spatial dependency of the radio map. In terms of temporal dependency, we specifically study the factor of moving people in the interest area. With measurement and statistics, the factor of human traffic is introduced as the temporal updating component. We improve our existing indoor positioning system with the proposed building and updating method, and compare the localization accuracy. The results show that the enhanced system can conquer the influence caused by moving people, and maintain the confidence probability stable during week, which enhance the actual availability and robustness of fingerprinting-based indoor positioning system.

• Journal of the Korea Society for Simulation
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• v.19 no.1
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• pp.103-111
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• 2010

Syntactic analysis is an important step in natural language processing. However, we cannot use the syntactic analyzer in Korean for low performance and without robustness. We propose new robust, high speed and high performance Korean syntactic analyzer using CRFs. We treat a parsing problem as a labeling problem. We use a cascaded chunking for Korean parsing. We label syntactic information to each Eojeol at each step using CRFs. CRFs use part-of-speech tag and Eojeol syntactic tag features. Our experimental results using 10-fold cross validation show significant improvement in the robustness, speed and performance of long Korea sentences.

• Korean Journal of Social Welfare
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• v.59 no.3
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• pp.147-174
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• 2007

This study examines how path dependency of working poor labor market segmented from the primary and the secondary labor market affects employment and quality of employment of working poor. It Further examines how path dependency makes working poor to remain in the labor market and makes it difficult for them to escape from a vicious poverty cycle. Data is based on the $3{\sim}7th$ Korea Labor and Income Panel Study(KLIPS). Markov's transition probability and discrete-time hazard analysis are used for analysis. This study finds that Korea labor market is divided into three parts; the primary labor market, the secondary labor market and the working poor labor market. The proportion of employed poor has been reduced, but the proportion of non economically-active working poor has been increased and has become the main group among the working poor. This shows that labor demand of working poor is fundamentally lacking and there are structural barriers that block working poor's employment itself. The regression analysis shows that the longer working poor labor market participation is, the lower poverty-exit rate. This is an evidence of vicious poverty cycle that the poor have little chance to exit from working poor labor market, once they step into it. Therefore, the longer their participation in poor labor market, the more likely they would move only within the closed working poor labor market. Consequently, it is necessary to fundamentally reform labor market structure and to alleviate negative perception and discrimination about the poor labor while activating labor demand.