• The Journal of the Korea Contents Association
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• v.14 no.11
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• pp.829-837
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• 2014

This study was conducted to investigate the factors that influence the psychosocial adaptation and quality of life of hemodialysis patients. The study participants consisted of 246 hemodialysis patients from 8 hemodialysis centers located in 3 cities ('K', 'P', and 'U') in South Korea. The questionnaire used for data collection was administered between April 1 and 30 of 2014. SPSS/WIN 18 program was used to perform descriptive, correlation, and stepwise regression analyses. It was found that stress response and acceptance were significantly correlated with psychosocial adaptation and quality of life. In the stepwise regression analysis, stress response appeared to be the most important influencing factor for psychosocial adaptation (${\beta}$=-.443, p<.001) and quality of life (${\beta}$=-.553, p<.001). Based on the study results, it is determined that in order to improve psychosocial adaptation and quality of life among hemodialysis patients, an intervention program to reduce stress response is needed, along with evaluating its efficacy.

• Proceedings of the IEEK Conference
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• 2003.11b
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• pp.31-34
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• 2003

In this paper, we propose an application of data hiding, especially for content adaptation, where one can reduce computational time and get better transcoding results or qualify. Hiding some useful information for content adaptation can help resource tailor to do effective transcoding so that one can achieve lower complexity as well as better quality in content adaptation. Experimental results show that the proposed method based on data hiding gives effectiveness to content adaptation with reasonable subjective quality.

• Journal of Korean Academy of Nursing
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• v.39 no.2
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• pp.177-185
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• 2009

Purpose: The purposes of this study were to examine the relationships among activities of daily living, self-efficiency, nursing home care quality and nursing home adaptation, and to identify the influencing factors of nursing home adaptation in nursing home residents. Methods: The study employed a descriptive correlational design. The data were collected from 148 older adults without dementia by interview from six nursing homes in three cities from February 1, 2008 to February 28, 2008. Results: Levels of nursing home adaptation in older adult residents were different by type of decision maker of nursing home admission, reason of nursing home admission, type of payment and length of nursing home stay. The nursing home adaptation was significantly correlated with self-efficiency and nursing home care quality. The strongest predictor of nursing home adaptation was type of decision maker of nursing home admission followed by the self-efficiency. Conclusion: The study suggested that during the decision making period of nursing home admission, older adults should have enough time and careful considerations of their families to decide by themselves in positive ways. Nursing home staff should be able to identify reasons of nursing home admission and demands or expectations of older adults and their families.

• ETRI Journal
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• v.39 no.5
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• pp.695-706
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• 2017

This paper presents a caching algorithm that offers better reconstructed data quality to the requesters than a probabilistic caching scheme while maintaining comparable network performance. It decides whether an incoming data packet must be cached based on the dynamic caching probability, which is adjusted according to the priorities of content carried by the data packet, the uncertainty of content popularities, and the records of cache events in the router. The adaptation of caching probability depends on the priorities of content, the multiplication factor adaptation, and the addition factor adaptation. The multiplication factor adaptation is computed from an instantaneous cache-hit ratio, whereas the addition factor adaptation relies on a multiplication factor, popularities of requested contents, a cache-hit ratio, and a cache-miss ratio. We evaluate the performance of the caching algorithm by comparing it with previous caching schemes in network simulation. The simulation results indicate that our proposed caching algorithm surpasses previous schemes in terms of data quality and is comparable in terms of network performance.

• The Transactions of the Korea Information Processing Society
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• v.7 no.12
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• pp.3923-3932
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• 2000

In mobile network, wireless links may be overloaded due to a high concentratioJl of mobile hosts in a given cell. As a result, the required QOS(Quality of Service) cannot be provided to all flows in that cell. So, there exists adaptive applications which can operate with various bandwidth levels. When a wireless link is overloaded, it can adapt by reducing the bandwidths of flows, is referred to as rate adaptation. In this paper, we analyze the performance of existing rate adaptation methods by simulations. The result of simulation experiments shows that average-fair adaptation scheme has very low network overhead but high bandwidth variance of flows, which causes the worse quality of service. We propose a rate adaptation method refined by combining fair adaptation and average-fair adaptation, and shows the refined method can provide lower bandwidth variance of flows by simulations.

• Journal of KIISE
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• v.42 no.11
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• pp.1339-1348
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• 2015

In a distributed system environment based on a service-oriented architecture, separate systems collaborate to achieve the goals of the entire system by using services provided other systems. A service quality violation from using one service can cause runtime system failure in the environment. The existing self-adaptation methods follow fault tolerance mechanism that responds to a failure after a service quality violation. In other words, these methods are limited to responsive action. Therefore, a service-dependability-case based self-adaptation mechanism is necessary to preserve the dependability of the self-adaptive system. This paper demonstrates that the service-dependability-case based self-adaptation mechanism is better than QoS(quality of service)-based self-adaptation with fault tolerance to preserve the dependability of the self-adaptive system. Additionally, this paper suggests a method to present and analyze service dependability by using GSN(Goal Structuring Notation) which is the existing modeling method for the presentation of assurance cases, an action mechanism adapted using an analysis result of service-dependability-cases, a methods of leveraging the service-dependability-case based self-adaptation mechanism by following the service's life cycle, and the framework architecture including the major components and the interactions between the components in the control loop of the self-adaptation process.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.39B no.6
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• pp.341-349
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• 2014

Dynamic adaptive streaming over HTTP (DASH) is the most recent and promising technology to support high quality streaming services. In dynamic adaptive streaming over HTTP (DASH), a client consecutively estimates the available network bandwidth and decides the transmission rate for the forthcoming video chunks to be downloaded. In this paper, we propose a novel rate adaptation algorithm called quality of experience QoE-enhanced adaptation algorithm over DASH (QAAD), which preserves the minimum buffer length to avoid interruption and minimizes the video quality changes during the playback. We implemented a DASH test bed and conducted extensive experiments. Experimental results demonstrate that under fluctuating network conditions, QAAD provides seamless streaming with stabilized video quality while the previous buffer-aware algorithm (i.e., QDASH[9]) frequently changes the video quality and undergoes the interruption.

• KIISE Transactions on Computing Practices
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• v.21 no.1
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• pp.82-87
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• 2015

There are many current researches that are looking to improve the quality of HTTP adaptive streaming services. However, the existing schemes have a serious problem of QoE (Quality of Experience) degradation because few consider VBR video transmission. To cope with this problem, in this paper, we proposed a novel media quality adaptation scheme called CB-DASH (Content and Buffer-aware DASH). The proposed scheme controlled the video quality considering the VBR characteristics of video and the client's buffer state. Through the simulation, we proved that our scheme accomplished a more accurate estimated bandwidth than the conventional DASH and improved the QoE of streaming service.

• Journal of Broadcast Engineering
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• v.14 no.6
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• pp.796-806
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• 2009

SVC (Scalable Video Coding) is a new video coding standard to provide convergence media service in heterogeneous environments with different networks and diverse terminals through spatial-temporal-quality combined flexible scalabilities. This paper presents the performance analysis on packet loss in the delivery of SVC over IP networks and an efficient adaptation method to packet loss caused by buffer overflow. In particular, SVC with MGS (Medium Grained Scalability) as well as spatial and temporal scalabilities is addressed in the consideration of packet-based adaptation since finer adaptation is possible with a sufficient numbers of quality layers in MGS. The effect on spatio-temporal quality due to the packet loss of SVC with MGS is evaluated. In order to minimize quality degradation resulted by packet loss, the proposed adaptation of MGS based SVC first sets adaptation unit of AU (Access Unit) or GOP corresponding to allowed delay and then selectively discards packets in order of importance in terms of layer dependency. In the experiment, the effects of packet loss on quantitative qualities are analyzed and the effectiveness of the proposed adaptation to packet loss is shown.

• The Journal of the Korea Contents Association
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• v.12 no.11
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• pp.215-224
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• 2012

The purpose of this study was to identify the facility adaptation characteristics, and the relationship between facility adaptation and the potential affective factors; ADL, self-efficacy, and quality of care facility, and to identify the affective factors on facility adaptation for elders in long-term care facility. Data were collected from 177 none dementia elders over 65 in 9 long-term care facilities from Jan.2, 2011 to March 15, 2011. The data were analysed through t/F test, correlation coefficient, and multiple regression (stepwise). The major findings of this study were as follow; Facility adaptation shows significant difference from admission decision maker(p=.004), religion(p=.027), and motive of admission(p=.009). And facility adaptation has weakly correlated with ADL and quality of care facility. The affective adaptation factors were decision maker, motive of admission, personal interview, religion, and perceived health status, but showed 22.8% of explanation. Thus the findings from this study could be used as bases for nursing intervention supporting elders' care facility adaptation.