• Journal of the Korean Applied Science and Technology
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• v.37 no.4
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• pp.688-698
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• 2020

The purpose of this study is to identify the factors Job Embeddedness of a university hospital nurse. Data was collected from August 1 to August 10, 2017, for 238 nurses working at a university hospital in C city. Data were analyzed with descriptive statistics, t-test, ANOVA, and multiple linear regression. As a result of this study nursing organizational culture was 3.32±0.33, organizational communication satisfaction was 3.19±0.37, and job Embeddedness was 3.19±0.44. Job Embeddedness, nursing organization culture(r=.502, p<.001), and organizational communication satisfaction(r=.673, p<.001) were positively correlated. Factors affecting job Embeddedness are organizational communication satisfaction(β=.575 p<.001), work experience 'more than 10 years'(β=.342, p<.001), nursing organization culture(β=.203, p<.001), followed by work experience of more than 5 to less than 10 years(β=.121, p<.001), and the explanatory power of the model was 57.4%. According to the above results, it is necessary Job Embeddedness level of organizational communication satisfaction at any time and develop nursing practice and educational intervention programs in consideration of work experience and nursing organizational culture in order to increase the degree of access to nursing positions of hospital nurses.

• The Journal of the Korea Contents Association
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• v.6 no.12
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• pp.1-11
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• 2006

Many research demonstrations and commercial applications have been tried to develop face detection and recognition systems. Human face detection plays an important role in applications such as access control and video surveillance, human computer interface, identity authentication, etc. There are some special problems such as a face connected with background, faces connected via the skin color, and a face divided into several small parts after skin region segmentation in generally. It can be allowed many face detection techniques to solve the first and second problems. However, it is not easy to detect a face divided into several parts of regions for reason of different illumination conditions in the third problem. Therefore, we propose an efficient modified skin segmentation algorithm to solve this problem because the typical region segmentation algorithm can not be used to. Our algorithm detects skin regions over the entire image, and then generates face candidate regions using our skin segmentation algorithm For each face candidate, we implement the procedure of region merging for divided regions in order to make a region using adjacency between homogeneous regions. We utilize various different searching window sizes to detect different size faces and a face detection classifier based on a back-propagation algorithm in order to verify whether the searching window contains a face or not.

• Korean Journal of Agricultural and Forest Meteorology
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• v.13 no.2
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• pp.101-108
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• 2011

Climate change could have a pronounced impact on natural and agricultural ecosystems. To assess the impact of climate change, projected climate data have been used as inputs to models. Because such studies are conducted occasionally, it would be useful to employ Cloud computing, which provides multiple instances of operating systems in a virtual environment to do processing on demand without building or maintaining physical computing resources. Furthermore, it would be advantageous to use open source geospatial applications in order to avoid the limitations of proprietary software when Cloud computing is used. As a pilot study, Amazon Web Service ? Elastic Compute Cloud (EC2) was used to calculate the number of days with rain in a given month. Daily sets of climate projection data, which were about 70 gigabytes in total, were processed using virtual machines with a customized database transaction application. The application was linked against open source libraries for the climate data and database access. In this approach, it took about 32 hours to process 17 billion rows of record in order to calculate the rain day on a global scale over the next 100 years using ten clients and one server instances. Here I demonstrate that Cloud computing could provide the high level of performance for impact assessment studies of climate change that require considerable amount of data.

• The KIPS Transactions:PartA
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• v.12A no.1 s.91
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• pp.41-52
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• 2005

Memory reference instruction caused by cache miss is the critical factor that limits the processing power of processor. Cache prefetching technique is an effective way to reduce the latency due to memory access. However, excessively aggressive prefetch leads to cache pollution and finally to cancel out the advantage of prefetch. In this study, an active prefetch filtering scheme is introduced which dynamically decides whether to commence prefetching after referring a filtering table to reduce the cache pollution due to unnecessary prefetches. For the precision filtering, an evicted address referencing scheme has been proposed where the filter directly compares the current prefetch address with previous unnecessary prefetch addresses stored in filtering table. Moreover, a small sized exclusive prefetch cache has been introduced to increase the amount of eviction of unnecessarily prefetched addresses to enhance the accuracy of dynamic filtering. The exclusive prefetch cache also prevents useful demand data from being pushed out by prefetched data, while the evicted address direct referencing scheme enables the prefetch cache to keep most of useful prefetch data within its small size. Experimental results from commonly used general and multimedia benchmarks show that the average cache miss ratio has been decreased by $13.3{\%}$ by virtue of enhanced filtering accuracy compared with conventional schemes.

• Journal of the Korea Society of Computer and Information
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• v.18 no.9
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• pp.11-19
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• 2013

Most modern computer systems employ cache systems in order to alleviate the access time gap between processor and memory system. The power dissipated by the cache systems becomes a significant part of the total power dissipated by whole microprocessor chip. Therefore, power reduction in the cache system becomes one of the important issues. Partial tag cache is the system for the least power consumption. The main power reduction for this method is due to the use of small partial tag matching, not full tag matching. In this paper, we first analyze the previous regular partial tag cache systems and propose a new address matching mechanism by using locality buffer and address compression. In simulation results, the proposed model shows 18% power reduction in average, still providing same performance level, compared to regular cache.

• Information Systems Review
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• v.8 no.1
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• pp.159-179
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• 2006

With the advances in information technologies and the wide acceptance of IT outsourcing practices, subscription-based information & telecommunications services(ITS) become more available. Convergence and intensified industry competition have made it an imperative for the ITS providers to keep their current customers and acquire new customers at the same time. In this study, we developed a framework for effective customer management based on the factors influencing the post-purchase customer choice: stay with the present provider or switch to another one. Specifically, we classified the factors into four categories: Holding factors, Defect factors, Inducement factors, and Hurdle factors depending on the characteristics of the influence and direction of the influence. Based on the classification, we developed a post-purchase customer choice model for the subscription-based ITS providers. Then, we illustrated a possible application of the model in the context of the broadband Internet access service. The model could be used to increase the competitive advantage of service providers through the effective customer management in the subscription-based ITS market.

• Journal of Korean Society for Geospatial Information Science
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• v.18 no.3
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• pp.11-19
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• 2010

In recent years, Korea has witnessed an increase to natural disasters such as landslides due to localized sudden and intensive rainfalls. Thus there have been researches on surface displacements to detect and monitor displacements in the areas prone to landslides by using high-precision and density numerical elevation data from LiDAR, which is an advanced 3D measuring equipment. However, the commercial software to process large-capacity LiDAR data, is expensive and difficult to be applied to specialized tasks such as analysis of landslide. In addition, there are no measures for many users to easily access diverse spatial information related to landslides and put it to intuitive uses. Thus this study developed an application program to analyze landslides by processing time series LiDAR data and intuitively serve many users with information about the topography and landslides of given areas. It analyzed the current state of landslides in the subject region through case study and proposed that 3D-based landslide and topography information can be served intuitively.

• Journal of KIISE:Computer Systems and Theory
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• v.34 no.2
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• pp.57-64
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• 2007

This paper proposed the low power texture cache for mobile 3D graphics accelerators. It is very important to reduce the leakage power in the standby mode for mobile 3D graphics accelerators and the memory access latency of texture mapping in the active mode which needs a large memory bandwidth. The proposed structure reduces the leakage power using variable threshold values of power mode transitions according to the selected texture filtering algorithms of application programs, which has the run time gain for texture mapping. In the trace driven cache simulation the proposed structure shows the best 7% performance gain to the previous MSA cache according to the new performance metric considering both normalized leakage power and run time impact.

• Proceedings of the Korea Information Processing Society Conference
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• 2002.11c
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• pp.1677-1680
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• 2002

홈 네트워크에 대한 관심이 높아지면서 각 정보가전들이 점점 지능화 되어가고, 정보가전의 데이터 서비스에 대한 욕구가 증가하면서 정보가전용 데이터들을 위한 규격이 필요하게 되었다. 규격화가 됨으로써 정보가전용 데이터들의 효율적인 관리와 적은 비용의 유지보수가 가능하게 된다. 데이터 표준화 도구로 주목을 받는 XML을 기반으로 정보가전용 데이터를 규격화하면 개발의 확장성 측면에서 바람직하며, 이를 통해 앞으로 개발될 새로운 관련기술들을 보다 쉽게 적용할 수 있다. 본 논문에서는 정보가전용 데이터 응용 프로그램의 요구 사항을 분석하고 이를 토대로 댁내의 정보가전 및 각 정보가전에 대한 데이터와 메시지들을 추출하고, 이를 이용하여 인터넷 정보가전용 규격에 대한 두 가지 방법을 제안한다. 첫 번째 제안의 내용은 추출한 데이터 대한 XML 규격화이고, 두 번째는 HDAL(Home Data Access Library)을 이용한 클라이언트와 서버 사이의 주고받는 SOAP 메시지들에 대한 XML 규격화이다. 이 두 가지 제안에 대해 구체적으로 기술하고, 이 제안이 홈 네트워크 환경에서 사용되는 예를 직접 제시한다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.5
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• pp.1022-1029
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• 2009

What Ubiquitous means "being or existing anywhere, anytime"in Latin, which is, in other words, the users are able to access the network no matter where they are, what kind of network or computer terminals they use. This paper focuses on the implementation of hardware system. The first part of the sytem is the sensor node which transmits the sensor data from node to ARM11 platform through the Zigbee network wirelessly. The other part of the system is the ARM11 platform which receives and displays the sensor data. ARM11 platform is sink node. The ARM11 platform is based on ARM11 architecture and ported with Linux OS. Qtopia is used as Window Manager in order to make applications. The highly efficient ARM11 processor, S3C6400 MPC is the main part of the ARM11 platform.