• Journal of Power Electronics
• /
• v.15 no.5
• /
• pp.1274-1285
• /
• 2015

This paper deals with model reference adaptive system (MRAS) speed estimators based on a secondary flux for linear induction motors (LIMs). The operation of these estimators significantly depends on an adaptation mechanism. Fixed-gain PI controller is the most common adaptation mechanism that may fail to estimate the speed correctly in different conditions, such as variation in machine parameters and noisy environment. Two adaptation mechanisms are proposed to improve LIM drive system performance, particularly at very low speed. The first adaptation mechanism is based on fuzzy theory, and the second is obtained from an LIM mechanical model. Compared with a conventional PI controller, the proposed adaptation mechanisms have low sensitivity to both variations of machine parameters and noise. The optimum parameters of adaptation mechanisms are tuned using an offline method through chaotic optimization algorithm (COA) because no design criterion is given to provide these values. The efficiency of MRAS speed estimator is validated by both numerical simulation and real-time hardware-in-the-loop (HIL) implementations. Results indicate that the proposed adaptation mechanisms improve performance of MRAS speed estimator.

• MALSORI
• /
• v.68
• /
• pp.33-47
• /
• 2008

In this paper, we propose a hybrid acoustic and pronunciation model adaptation method based on context dependency for Korean-English speech recognition. The proposed method is performed as follows. First, in order to derive pronunciation variant rules, an n-best phoneme sequence is obtained by phone recognition. Second, we decompose each rule into a context independent (CI) or a context dependent (CD) one. To this end, it is assumed that a different phoneme structure between Korean and English makes CI pronunciation variabilities while coarticulation effects are related to CD pronunciation variabilities. Finally, we perform an acoustic model adaptation and a pronunciation model adaptation for CI and CD pronunciation variabilities, respectively. It is shown from the Korean-English speech recognition experiments that the average word error rate (WER) is decreased by 36.0% when compared to the baseline that does not include any adaptation. In addition, the proposed method has a lower average WER than either the acoustic model adaptation or the pronunciation model adaptation.

• Women's Health Nursing
• /
• v.16 no.1
• /
• pp.1-9
• /
• 2010

Purpose: The study addressed the adaption of middle- aged Korean women to menopause, including the use of Yangsaeng, a traditional health care regimen that incorporates specific principles and methods to promote health and prevent illness, with the aim of improving health and longevity of life. Methods: Middle-aged women (40~59 years, n=171) residing in Seoul and Gyeong-Gi Province. Data was collected by using a self-reported questionnaire. Menopausal period adaptation was measured by 29 items in four categories (physical, self-concept, role function, and inter-dependent). Yangsaeng was measured by 31 questionnaire items in eight categories (morality, mind, diet, activity and rest, exercise, sleep, seasonal, and sexuality). Results: Significant differences in menopausal adaptation were evident on the basis of participant education and income. There were significant differences in Yangsaeng in terms of participant education, nature of employment, and income. Menopausal adaptation positively correlated to use of Yangsaeng. Physical adaptation, self-concept adaptation, role function adaptation, and inter-dependent adaptation positively correlated to morality Yangsaeng, mind Yangsaeng, and activity and rest Yangsaeng. Conclusion: Middle-aged Korean women who practice Yangsaeng may be better positioned to adapt to menopause. Yangsaeng may be an advantageous nursing intervention in this population.

• The Journal of the Acoustical Society of Korea
• /
• v.23 no.8
• /
• pp.590-596
• /
• 2004

This paper Presents a new self-adaptation algorithm based on maximum a posteriori (MAP) eigenvoice for Korean connected digit recognition. The proposed MAP eigenvoice is developed by introducing a probability density model for the eigenvoice coefficients. The Proposed approach provides a unified framework that incorporates the Prior model into the conventional eigenvoice estimation. In self-adaptation system we use only one adaptation utterance that will be recognized, we use MAP eigenvoice that is most robust adaptation. In series of self-adaptation experiments on the Korean connected digit recognition task. we demonstrate that the performance of the proposed approach is better than that of the conventional eigenvoice algorithm for a small amount of adaptation data.

• Journal of the Korean Society of Environmental Restoration Technology
• /
• v.14 no.6
• /
• pp.111-117
• /
• 2011

This study attempts to facilitate climate change adaptation in conservation area by spatial planning of climate adaptation zone for endangered species. Spatial area is South Korea and select leopard cat (Prionailurus bengalensis) as a target species of this study. In order to specify the climate adaptation zone, firstly, Maximum entropy method (Maxent) was used to identify suitable habitat, and then core habitat was selected for leopard cat. Secondly, land use resistance index was evaluated and least cost distance was analyzed for target species. In this step we choose dispersal capacity of leopard cat to reflect species ecological characteristic. Finally, climate adaptation zone is described and adaptation measures are suggested. The presented approach could be generalized for application into conservation planning and restoration process. Furthermore, spatial planning of climate adaptation zone could increase heterogeneity of habitat and improve adaptive capacity of species and habitat itself.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
• /
• v.64
• /
• pp.239-264
• /
• 2014

Two types of responses to climate change exist. First is climate mitigation which includes efforts of reducing CO2 and GHG emissions. Second response is climate adaptation process which is establishing climate resilience in the supply chain. The two are inherently different since mitigation strategy focus on eliminating the source of climate change and is long term in nature but adaptation strategy is moderating the impact of potential or current climate change. In order to embed climate resilience in the supply chain, mitigation strategies and adaption strategies must be implemented simultaneously. Corporation's adaptation to climate change related natural disaster can be seen as a response that includes mitigation and adaptation strategies simultaneously. A comprehensive climate change resilience supply chain approach has to be developed. This paper illustrated guidelines and adaptation process framework businesses can utilize in order to build climate resilience. Screening process before the actual assessment of risk was introduced as well as the whole adaptation process of establishing information system and strengthening climate-related operational flexibility.

• Women's Health Nursing
• /
• v.19 no.4
• /
• pp.242-253
• /
• 2013

Purpose: The purpose of this study was to develop a scale to assess immigrant women's needs for pregnancy and postpartum adaptation and to test the reliability and validity of the scale. Methods: To construct scale items, critical issues and difficulties associated with pregnancy and postpartum adaptation of immigrant women were identified and categorized through a literature review. Fifty-two scale items were constructed, and data for validity and reliability testing was collected with a questionnaire survey from 367 immigrant women. Data were analyzed with descriptive statistics, factor analysis, and reliability coefficients. Results: The final measurement scale to assess immigrant women's pregnancy and postpartum adaptation consisted of 48 items and 7 factors (adaptation to daily activity during pregnancy, cross-cultural understanding and personal respect, understanding of the process of pregnancy and delivery, baby rearing and family support, physical and emotional adaptation after childbirth, nutrition during pregnancy, and sexual life adaptation). The seven factors accounted for 64.26% of the variance, and Cronbach's ${\alpha}$ was .96. Conclusion: The scale developed by this study is a reliable and valid instrument and can be used to assess needs of pregnancy and postpartum adaptation and can be utilized in providing nursing interventions for immigrant women.

• Journal of Industrial Convergence
• /
• v.22 no.3
• /
• pp.1-12
• /
• 2024

The purpose of this study is to categorize the adaptation of re-employed injured workers to the workplace and to explore the determinants that affect their adaptation to the workplace. In order to categorize the group of re-employed injured workers to adapt to the workplace, a latent profile analysis was conducted on 522 injured workers. As a result of the analysis, the workplace adaptation group was classified into three types: environmental dominant adaptation type (group 1), work-oriented adaptation type (group 2), and 'environmental adaptation type (group 3). In addition, as a result of conducting a mixed regression analysis to analyze the factors influencing their adaptation to the workplace after industrial accident, it was found that the work-oriented adaptation and environmental adaptation adaptation type were lower than the environmental dominant adaptation type. In addition, it was confirmed that educational background and self-esteem are factors that have an important influence on the adaptation of injured workers to the workplace. Based on the results of this study, it was suggested that the system needs to be supplemented in two aspects: customized support for individuals in the pre-reemployment stage and the employment environment after re-employment in order to increase the adaptation of injured workers to work. Specifically, there are consideration of the development and spread of rehabilitation programs and the expansion of the scope of subsidies that were paid only to the original business owners. Through this study, it is expected that more targeted policy measures can be prepared for re-employed injured workers.

• The KIPS Transactions:PartD
• /
• v.9D no.5
• /
• pp.903-914
• /
• 2002

In this research, the technique and tool for the adaptation of components are suggested. While reusing a component or assembling components, component adaptation should be required since the interfaces of component to be assembled might not be exactly matched. Sometimes, other attributes are needed for new business features or even the same business concept. So, in reusing or assembling a component, component adaptation techniques are essentially required. In this research, we proposed the following Component Adaptation by Binary Component Adaptation Techniques : and Component Adaptation by Adaptation Components. Also, we constructed a component adaptation supporting tool. As the results, we can adapt the existing components without source code and can reuse the existing components when the components do not meet new requirements or can not be directly connected with other components to be integrated.

• The Journal of the Acoustical Society of Korea
• /
• v.22 no.3
• /
• pp.188-193
• /
• 2003

Regardless of the distribution of the adaptation data in the testing environment, model-based adaptation methods that have so far been reported in various literature incorporates the adaptation data undiscriminatingly in reducing the mismatch between the training and testing environments. When the amount of data is small and the parameter tying is extensive, adaptation based on outlier data can be detrimental to the performance of the recognizer. The distribution of the adaptation data plays a critical role on the adaptation performance. In order to maximally improve the recognition rate in the testing environment using only a small number of adaptation data, supervised weighted training is applied to the structural maximum a posterior (SMAP) algorithm. We evaluate the performance of the proposed weighted SMAP (WSMAP) and SMAP on TIDIGITS corpus. The proposed WSMAP has been found to perform better for a small amount of data. The general idea of incorporating the distribution of the adaptation data is applicable to other adaptation algorithms.