• Journal of Broadcast Engineering
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• v.1 no.2
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• pp.85-95
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• 1996

The purpose of this paper Is to propose a dubbed signal time-synchroniztion technique based on the SOLA(Synchronized Over-Lap and Add) method which has been widely used to modify the time scale of speech signal. In broadcasting audio recording environments, the high degree of background noise requires dubbing process. Since the time difference between the original and the dubbed signal ranges about 200mili seconds, process is required to make the dubbed signal synchronize to the corresponding image. The proposed method finds he starting point of the dubbing signal using the short-time energy of the two signals. Thereafter, LPC cepstrum analysis and DTW(Dynamic Time Warping) process are applied to synchronize phoneme positions of the two signals. After determining the matched point by the minimum mean square error between orignal and dubbed LPC cepstrums, the SOLA method is applied to the dubbed signal, to maintain the consistency of the corresponding phase. Effectiveness of proposed method is verified by comparing the waveforms and the spectrograms of the original and the time synchronized dubbing signal.

• The Journal of Bigdata
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• v.2 no.2
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• pp.47-56
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• 2017

The UTAUT was presented as a comprehensive of eight existing theories to improve the limit of Technology Acceptance Model (TAM), and it has been also utilizing in various fields related to acceptance and diffusion of new technology. In this study, we analyzed factors utilized in UTAUT through meta-analysis, and confirms the consistency of the model. We presented the principal factors and the additional factors. Moreover, we presented differences and suggestions through comparative analysis with previous researches. The meta-analysis showed that satisfaction, hedonic motivation, attitude, perceived enjoyment showed a important factors as additional factors. Based on this result, we presented an extended UTAUT model. In the case of Korea studies, it was found that increasing the degree of behavior intention is the most important factor leading to use behavior. The results of this research will be able to support researchers who research the acceptance and diffusion of new technologies, and companies trying to launch new products.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.37 no.4C
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• pp.297-306
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• 2012

IT technology of U-healthcare system is being grafted onto medical services and the use of U-healthcare system are extending steadily. However, in case of patients using Implantable Medical Device (IMD) in U-healthcare system, patients' privacy protection and safe access to system recently has emerged as a major issue. This paper proposes a patients' privacy protection protocol to prevent any illegal accesses from third parties as state value and action value are synchronized after patients' information virtualization. The proposed protocol can limit the access range of patients' information according to authentication information of hospitals, doctors, nurses, and pharmacies registered in the U-healthcare server. Additionally, this protocol can increase management efficiency for patients' privacy by synchronizing state values and action values only for approved information and, by instituting this process, third parties cannot easily access patients' information.

• Journal of Digital Convergence
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• v.11 no.1
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• pp.199-209
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• 2013

This study empirically investigates how the switching barriers influence the consumer's perceived intention to change his or her current favorite internet shopping mall. Drawing from switching cost theory, variables pertaining to trust, shopping mall service quality, product price, web page quality, switching barriers were examined to examine the consumer's behavioral intention to switch to another shopping mall. The interaction effect of consumer involvement was also included in the research model. The results of the study report that customer satisfaction and switching cost influence shopping switching intention, while the effect of attractiveness of the shopping mall was not significant in the statistical analysis. Furthermore, a moderating effect of consumer involvement was not found significant in the PLS analysis. The study demonstrates the shopping mall owners try to increase the customer's overall satisfaction and raise the switching barrier by providing mileage advantages, for instance.

• Journal of agriculture & life science
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• v.43 no.2
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• pp.65-78
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• 2009

The purpose of this research is to analyze the factors influencing satisfaction level of consumers using internet shopping mall to purchase agricultural products and to check relationship between satisfaction factor and intention in current situation of fast diffusion of market size for agricultural product e-commerce. Purchase motivation in internet shopping mall was shown to be the reason of convenience rather than confidence degree for agricultural product consumers. Consumer satisfaction factor of agricultural product internet shopping mall can be distinguished by confidence in service quality, diversity of products, delivery and customer support, and security. The result of this research will help us understand the determination factor of consumer satisfaction and their intention about internet shopping, while finding out what consumers expect from internet shopping when purchasing agricultural products.

• Journal of the Korean Society of Hazard Mitigation
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• v.11 no.1
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• pp.7-13
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• 2011

Accurate response analysis of long span bridges subjected to seismic excitation is important for earthquake hazard mitigation. In this paper, the performance of a typical four span continuous reinforced concrete bridge model subjected to asynchronous multiple seismic excitations at the supports is investigated in both the time and frequency domains and the results are compared with that from a relevant uniform support excitations. In the time domain analysis, a linear modal superposition approach is used to compute the peak response values. In the frequency domain analysis, linear random vibration theory is used to determine the root mean square response values where the cross correlation effects between the modal and the support excitations on the seismic response of the bridge model are included. From the two sets of results, a practical range of peak factors which are defined to be the ratio of peak and the root mean square responses are suggested for displacements and forces in members. With reliable practical values of peak factors, the frequency domain analysis is preferred for the performance based design of bridges because of the computational advantage and the generality of the results as the time domain analysis only yields results for the specific excitation input.

• International Area Studies Review
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• v.13 no.3
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• pp.163-190
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• 2009

This study tries to analyze the investment determinants of Chinese firms in local Korea, where the Chinese investing ones have been operating since in the middle of 1990s. The main purpose can be mentioned to test empirically some relations between the investment determinants of Chinese firms and the investment types. In detail speaking, the dependent variables of investment types are classified with sole venture and joint venture, while the independent ones are sorted based on the previous studies with the 2 following factors like the competitive advantages of Chinese firms, and the location advantages of local Korea. This study is conducted as the following: the survey of Chinese firms engaging in investment activities in there is implemented by collecting questionnaires. And for testing the hypothesis, the path analysis of structural equation modeling is activated with SPSS. 12.0 and AMOS 11.0 for windows.

• Journal of the Korean Applied Science and Technology
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• v.38 no.5
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• pp.1314-1324
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• 2021

This study attempted to understand the nurse image and major commitment of nursing students, investigate their relationship, and prepare necessary measures to improve the major commitment of nursing students. The data were collected from 185 nursing students enrolled in seven nursing colleges and were analyzed statistically with the SPSS/WIN 24.0 program. The research results are as follows. It was confirmed that the more positive the nurse image perceived by the subject, the higher the major commitment. In addition, influencing factors the major commitment of nursing students identified in the order of major satisfaction, perception of nursing, nurse image, and aptitude and interest among nursing selection motives, and total explanatory power was 42%. Based on the above results, it is necessary to develop and apply a program including a positive nurse image for nursing students.

• Journal of the Korean Society of Clothing and Textiles
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• v.48 no.1
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• pp.140-156
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• 2024

This study examined how the motivational language of instructors in senior fashion model classes affects learners' achievement goal orientation and interpersonal competence, as well as their intention to continue participating. The participants in this study were active seniors aged 50 and above, and the analysis was conducted using PLS-SEM and bootstrapping for mediation effects. It was found that autonomous motivation had a significant impact on task achievement goals and interpersonal competence, but not on ego achievement goals. On the other hand, controlled motivation only had a significant impact on ego achievement goals. Additionally, interpersonal competence had a significant impact on the intention to continue participating, and task achievement goals were found to mediate the relationship between autonomous motivation and interpersonal competence. This study aimed to promote understanding of the importance of instructors' motivational language in senior fashion model education and learners' psychology and to provide information that can help develop a fashion-related leisure activity curriculum. It also suggests efficient instructional directions for instructors in senior education, and it is expected to be utilized in the development of fashion-related leisure activity program curricula in the future.

• Journal of Internet Computing and Services
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• v.25 no.2
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• pp.29-38
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• 2024

After Transcatheter Aortic Valve Replacement (TAVR), comprehensive management of complications, including the need for Permanent Pacemaker Implantation (PPI), is crucial, increasing the demand for accurate prediction models. Departing from traditional image-based methods, this study developed an optimal PPI prediction model based on ECG data using the XGBoost algorithm. Focusing on ECG signals like DeltaPR and DeltaQRS as key indicators, the model effectively identifies the correlation between conduction disorders and PPI needs, achieving superior performance with an AUC of 0.91. Validated using data from two hospitals, it demonstrated a high similarity rate of 95.28% in predicting PPI from ECG characteristics. This confirms the model's effective applicability across diverse hospital data, establishing a significant advancement in the development of reliable and practical PPI prediction models with reduced dependence on human intervention and costly medical imaging.