• Journal of KIISE:Computing Practices and Letters
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• v.5 no.6
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• pp.700-707
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• 1999

본 논문에서는 GIS 관련 연산을 실시간에 효율적으로 처리하기 위한 분산공유메모리 기반 병렬처리 시스템을 제안한다. 본 논문의 분산공유메모리 시스템은 메시지전달 방식의 분산메모리 MIMD 컴퓨터 상에 소프트웨어 기반 분산공유메모리 모듈을 탑재함으로써 구현되었다. 또한 GIS 연산의 기본이 되는 공간 객체를 공유의 기본 단위로 설정하고, GIS 데이타의 특성을 반영하여 읽기전용 공유데이타 타입을 추가하였으며, 네트워크 오버헤드를 줄이기 위하여 복수의 객체를 한번에 읽어오는 bulk access가 가능하도록 하였다. 본 시스템에서는 GIS 데이타의 효율적인 분배를 위하여 부하균등화 기법으로 guided self scheduling을 사용하였다. 실험결과 본 시스템은 네트워크 캐쉬의 효율적인 활용을 통하여 소프트웨어 기반 분산메모리 시스템의 오버헤드에도 불구하고 MPI 기반 메시지전달 방식에 비하여 향상된 성능을 얻을 수 있었다.Abstract In this paper, we propose a distributed shared memory(DSM) based parallel processing system to process GIS related computations efficiently in real time. The system is based on a software DSM module implemented on top of a distributed MIMD computer. In the DSM system, spatial object, which is a fundamental structure to represent GIS data, is used as a basic unit for sharing, and a read-only shared data type is added to reflect the characteristics of GIS data. In addition, a bulk access to multiple shared data is made possible to reduce the network overhead. A guided self scheduling method is devised for efficient load balancing in distributing GIS data to parallel processors. The experimental results show that the DSM system performs better than an MPI based message-passing system through the efficient utilization of network cache in spite of the system's software overhead.

• Journal of Korean Academy of Nursing
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• v.42 no.4
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• pp.453-465
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• 2012

Purpose: The study was done to develop a shared decision-making scale for end-of-life patients in Korea. Methods: The process included construction of a conceptual framework, generation of initial items, verification of content validity, selection of secondary items, preliminary study, and extraction of final items. The participants were 388 adults who lived in one of 3 Korean metropolitan cities: Seoul, Daegu, or Busan. Item analysis, factor analysis, criterion related validity, and internal consistency were used to analyze the data. Data collection was done from July to October 2011. Results: Thirty-four items were selected for the final scale, and categorized into 7 factors explaining 61.9% of the total variance. The factors were labeled as sharing information (9 items), constructing system (7 items), explanation as a duty (5 items), autonomy (4 items), capturing time (3 items), participation of family (3 items), and human respect (3 items). The scores for the scale were significantly correlated among shared decision-making scale, terminating life support scale, and dignified dying scale. Cronbach's alpha coefficient for the 34 items was .94. Conclusion: The above findings indicate that the shared decision-making scale has a good validity and reliability when used for end-of-life patients in Korea.

• Journal of KIISE:Computer Systems and Theory
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• v.28 no.9
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• pp.461-468
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• 2001

Though shared virtual memory (SVM) system promise low cost solutions for high performance computing they suffer from long memory latencies. These latencies are usually caused by repetitive invalidations on shared data. Since shared data are accessed through synchronization and the patterns by which threads synchronizes are repetitive, a prefetching scheme bases on such repetitiveness would reduce memory latencies. Based on this observation, we propose a prefetching technique which predicts future access behavior by analyzing access history per synchronization variable. Our technique was evaluated on an 8-node SVM system using the SPLASH-2 benchmark. The results show the our technique could achieve 34%~45% reduction in memory access latencies.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.28 no.3
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• pp.1-11
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• 2020

Despite the importance of Creating Shared Value(CSV), few research has been conducted to understand it. Filling in this existing void, this study was an attempt to provide a clear understanding about what triggers airline customers' decisions according to the airline company's CSV activities. Through this study, we investigated the relationship among CSV, trust, image, and loyalty. An online survey was used as a method to collect data. Through the CFA, we confirmed the adequate level of reliability and validity of the measures. The structural model was found to include an acceptable fit to the collected data. The findings from the structural analysis revealed that CSV exerted and immense on trust and image. Also, trust was significantly associated with image and loyalty while the image was highly associated with loyalty. Based on the findings presented above, implications for practitioners and researchers are stated.

• IEMEK Journal of Embedded Systems and Applications
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• v.4 no.4
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• pp.174-179
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• 2009

Due to digital convergence, mobile embedded systems need more functionalities and a fully fledged OS. Applications for such embedded systems are linked with many shared libraries available in the OS and access a large data set at launch time. This results in increased application launch time. In this paper, we propose two techniques for reducing the application launch time: lazy-loading and pinning. Lazy-loading defers loading shared libraries that are not used in the application at launch time, whereas pinning guarantees the residence of shared libraries and data used at launch time in the main memory.

• Korea Journal of Hospital Management
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• v.19 no.2
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• pp.89-98
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• 2014

The research was to investigate the effect of trust in supervisor, organizational trust and perception on the shared value on innovative behavior. The data were collected from 334 nurses from University hospital of G city. Data were analyzed with frequency, t-test, ANOVA, Scheffe-test, Pearson's correlation coefficient and hierarchical regression, equipped with SPSS 21.0. The results showed that there was correlation among trust in supervisor, organizational trust and perception, and innovative behavior. Therefore, it is considered that the study is the basis to improve innovative behavior of nurses by providing alternatives for achieving trust in supervisor, organizational trust and perception, for sake of efficient management of human resource of nurse of University hospital. This study was supported by research funds from Chosun Nursing College 2013.

• Fashion & Textile Research Journal
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• v.6 no.6
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• pp.699-706
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• 2004

In today's fashion industry, directions for new products and high value added of fashion goods, product changes according to cycles, the shortening of life cycles, added value, planned obsolescence, and presentation is focused on fashion trends that will be selected by many consumers at the point of selling time. Therefore fashion information poses great importance and its weight is growing bigger everyday. Fashion information recognized to be important is reflected practically in the prediction of fashion changes in the fashion industry; especially, it is the first stage of the merchandising process that is the course of new product development. Presently, with some differences according to the size and specialized area of a firm, domestic fashion menufacturers obtain information from sales data of competing brands and their own, market information, consumer information based on primary data, shared fashion trend information given by domestic fashion information providing companies. Firms can not produce differentiated images and product concepts using such shared information. Although the types, importance and reflection of used information vary according to merchandising processes, all experts engaging in the merchandising of fashion products use the same shared information.

• Journal of KIISE:Computer Systems and Theory
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• v.32 no.7
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• pp.349-358
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• 2005

False sharing is a result of co-location of unrelated data in the same unit of memory coherency, and is one source of unnecessary overhead being of no help to keep the memory coherency in multiprocessor systems. Moreover. the damage caused by false sharing becomes large in proportion to the granularity of memory coherency. To reduce false sharing in a page-based DSM system, it is necessary to allocate unrelated data objects that have different access patterns into the separate shared pages. In this paper we propose call-site tracing-based shared memory allocator. shortly CSTallocator. CSTallocator expects that the data objects requested from the different call-sites may have different access patterns in the future. So CSTailocator places each data object requested from the different call-sites into the separate shared pages, and consequently data objects that have the same call-site are likely to get together into the same shared pages. We use execution-driven simulation of real parallel applications to evaluate the effectiveness of our CSTallocator. Our observations show that by using CSTallocator a considerable amount of false sharing misses can be additionally reduced in comparison with the existing techniques.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.10 no.8
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• pp.1414-1421
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• 2006

This paper proposes a consistency algorithm that is able to serve streaming data efficiently in VOD system. The media data is stripping into several pieces of data by the Round Robin method in order to media data service. The barrier mechanism is changed into the minimum data factor(SH. GOP) in this paper. The shared memory is allocated at one host with one fragment size. Data is combined with RTP packet transmission data format using barrier mechanism. I experiment and program the suggested algorithm on the VOD system.

• KIEAE Journal
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• v.16 no.4
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• pp.5-20
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• 2016

Purpose: The objective of this study is to divide personal traits of the elderly living in a rural area into extraversion, agreeableness, openness, conscientiousness, neuroticism, and loneliness and to identify the relationship between personal traits and receptivitiy to sharing living space in communal shared housing. Method: Subjects of this study are the elderly of ages greater than 55 living in Yeongwol-gun, Gangwon-do. Depending on how often elderly welfare facility was used, places where the elderly gathered were divided into a senior citizen center, senior welfare center, and other places where they often gathered. The researchers visited each of the places directly and conducted a survey with face-to-face interviews. Result: The collected data consisting of 124 respondents were analyzed through SPSS statistical program. It showed that 5 personal traits, except for agreeableness, had statistically significant difference. Extrovert and low lonely elderly people had high receptivity. The relationship between personal traits and acceptable shared space revealed differently depending on the function of space. Especially, shared resting space was related to low emotion-oriented trait, such as neuroticism and loneliness, while shared hobby and sanitary space were related to strong management-oriented trait of conscientiousness. These findings demonstrate the importance of understanding personal traits in predicting receptivitiy to sharing living space. Also, it is necessary to compare the degree of receptivity to sharing living space based on personal traits and to plan shared space in several levels, such as full sharing, partial sharing, and individual use, to develop and supply communal shared housing successfully.