• Journal of Korean Academy of Nursing Administration
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• v.14 no.3
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• pp.268-277
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• 2008

Purpose: The purpose of this study was to identify the effects of self-efficacy and empowerment on perceived organizational support and organizational citizenship behavior of nurses. Method: The subjects of this study were 327 nurses who were working at seven hospitals. The data were collected by structured questionnaire from Feb. 12 to Mar. 5 of 2006. Data were analyzed using descriptive statistics, t-test, ANOVA, Pearson correlation coefficient, and Stepwise multiple regression on SPSS/PC 12.0 program. Results: The mean score of self-efficacy was 3.75, empowerment was 3.68, perceived organizational support(POS) was 2.87, and organizational citizenship behavior(OCB) was 3.64. The POS had statistically significant differences according to position(F=3.207, p=.013). The self-efficacy and empowerment were positively correlated with POS and OCB. The self-efficacy(7.0%), meaning(8.5%), competency(12.4%), self-determination(1.9%), and impact(4.8%) explained 34.6% of the variance for POS. The self-efficacy(17.1%), meaning(1.0%), competency(2.8%), self-determination(3.2%), and impact(13.2%) explained 37.3% of the variance for OCB. Conclusion: The findings showed that self-efficacy and empowerment were important factors for enhancing POS and OCB in nursing organization. Therefore, the nurse manager must establish the strategies to improve the self-efficacy and empowerment of the nurses in order to promote the POS and OCB.

• ETRI Journal
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• v.29 no.3
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• pp.281-291
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• 2007

Wearable computers consisting of various small devices such as smart phones, digital cameras, MP3 players and specialized I/O devices in personal area networks will play an important role in future ubiquitous computing. In this environment, accessing user data is quite complex due to the dynamic and heterogeneous characteristics of the underlying networks. Moreover, since the amount of user data increases rapidly, automatic data backup management is also critical. To overcome these challenges, several studies have been conducted including our previously proposed file service system, PosCFS, which could be adapted to the requirements with a virtualization technique allowing per-user global namespace for managing and accessing data stored on physical storage spaces detected in PAN. In this paper, we present a smart file service framework, PosCFS+ which is an improved and extended version of our previous work. Performance improvement is made possible by redesigning the metadata management scheme based on database and keywords rather than ontology. In addition, the automatic data replication management is newly designed based on the OSD protocol.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.3
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• pp.1639-1658
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• 2019

Named entity recognition (NER) is an important technique for improving the performance of data mining and big data analytics. In previous studies, NER systems have been employed to identify named-entities using statistical methods based on prior information or linguistic features; however, such methods are limited in that they are unable to recognize unregistered or unlearned objects. In this paper, a method is proposed to extract objects, such as technologies, theories, or person names, by analyzing the collocation relationship between certain words that simultaneously appear around specific words in the abstracts of academic journals. The method is executed as follows. First, the data is preprocessed using data cleaning and sentence detection to separate the text into single sentences. Then, part-of-speech (POS) tagging is applied to the individual sentences. After this, the appearance and collocation information of the other POS tags is analyzed, excluding the entity candidates, such as nouns. Finally, an entity recognition model is created based on analyzing and classifying the information in the sentences.

• Journal of KIISE:Software and Applications
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• v.30 no.5_6
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• pp.570-578
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• 2003

Maximum entropy models are promising candidates for natural language modeling. However, there are two major hurdles in applying maximum entropy models to real-life language problems, such as prepositional phrase attachment: feature selection and high computational complexity. In this paper, we propose a maximum entropy boosting model to overcome these limitations and the problem of imbalanced data in natural language resources, and apply it to prepositional phrase (PP) attachment and part-of-speech (POS) tagging. According to the experimental results on Wall Street Journal corpus, the model shows 84.3% of accuracy for PP attachment and 96.78% of accuracy for POS tagging that are close to the state-of-the-art performance of these tasks only with small efforts of modeling.

• Journal of the Korea Society of Computer and Information
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• v.18 no.9
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• pp.165-175
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• 2013

Though the number of food franchises has been increased these days, there has not been less success for food franchise than failure. One of the several failures is the distrust between franchisor and franchisee factors because the franchisee thought its franchisor does not make its accounts and operations transparent. In order to resolve it, the large business food franchise has used the ERP system, however, small business franchise has run a very simple information system, which is linked to POS system and consists of simple functions to insert or inquire the result of data on sales and order etc to identify the status of both franchisor and franchisee because of financial difficulties and manpower shortage. Thus, small business franchise needs the cost management between them with low cost for efficient business administration. In this study, we suggest the data reference model (DRM) which covers the cost management system and is able to be linked to any POS system. The DRM is a framework whose primary purpose is to enable information linking and reuse across the any POS-based information systems via the classification, structure, model, exchange and management of data.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.01a
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• pp.115-116
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• 2022

비밀번호 인증 기술에서 키보드로부터 입력되는 데이터가 노출되는 문제점으로 인하여, 이미지 기반 인증 기술이 등장하였다. 이 기술은 주로 가상 키보드를 출력하고, 특정 위치에 클릭된 마우스 정보를 비밀번호로 활용한다. 마우스 데이터의 안전성 향상을 위하여 임의의 마우스 위치를 생성하는 랜덤 마우스 데이터 생성 기술이 등장하였지만, 해당 기술의 안전성 분석에 대한 연구가 미비한 실정이다. 따라서 본 논문에서는 GetCursorPos() 함수를 활용한 공격 기술과 WM_INPUT 메시지를 활용한 공격 기술을 기반으로 랜덤 마우스 데이터 생성 기술이 적용된 사이트에서의 마우스 데이터 취약점을 분석한다.

• Journal of Dairy Science and Biotechnology
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• v.23 no.1
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• pp.39-47
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• 2005

This paper is intended to estimate demand for milk using POS data. POS databases were taken from various retail store across the country that account for 5 percent. Own price elasticities are negative and most milk products are statistically significant. Advertising effects are marginal, and statistically significant except flavored milk. Seasonality is apparent from July through september except children's milk.

• Journal of Digital Convergence
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• v.14 no.9
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• pp.317-323
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• 2016

Big Data is now seen as a major asset in the company's competitiveness, its influence in the future is expected to grow. Companies that recognize the importance are already actively engaged with Big Data in product development and marketing, which are increasingly applied across sectors of society, including politics, sports. However, lack of knowledge of the system implementation and high costs are still a big obstacles to the introduction of Big Data and systems. It is an objective in this study to build a Big Data system, which is based on open source Hadoop and Hive among Big Data systems, utilizing POS sales data of small and medium-sized offline markets. This approach of convergence is expected to improve existing sales systems that have been simply focusing on profit and loss analysis. It will also be able to use it as the basis for the decisions of the executive to enable prediction of the consumption patterns of customer preference and demand in advance.

• Journal of the Korean Society for Precision Engineering
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• v.19 no.7
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• pp.171-179
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• 2002

STEP-NC is the next generation CNC controller taking STEP-based data model as the interface scheme (or language) between CAM and CNC, and carrying out various intelligent functions. At the moment, efforts are being made worldwide to establish international standard for the new interface scheme formalized as ISO14649. As the new language is being established, increasing attention is being paid to the development of the new CNC. Korea STEP-NC is an integrated STEP-NC system taking ISO 14649 as an input, and carrying out various intelligent functions. It is composed of 5 modules: 1) Shop Floor Programming System (PosSFP), 2) Tool Path Generator (PosTPG), 3) Tool Path Viewer (PosTPV), 4) Man Machine Interface (PosMMI), and 5) CNC Kernel (PosCNC). Distinguished from other prototypes (of Europe and USA), the Korea STEP-NC is top-down designed, and bottom-up implemented comprehensively incorporating all the crucial components for realizing the full benefit of STEP-NC paradigm, without using any existing commercial CAD/CAM systems and CNC kernels. The Korea STEP-NC prototype was successfully demonstrated and evaluated in the ISO conventions Together with prototypes of Europe and USA, Korea STEP-NC will be used as a reference system fur the Triangular Conformance Test to be jointly carried out by ISO TC184 SC1, SC4, and IMS Project.

• Korean Journal of Occupational Health Nursing
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• v.22 no.1
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• pp.35-46
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• 2013

Purpose: The study aimed to identify influencing factors associated with the organizational commitment (OC) among hospital nurses. Methods: A descriptive correlational design was utilized. The subjects of this study were 447 female nurses working for over 6 months in Seoul. The study was based on the data from a self-reported survey using structured questionnaires. The data were collected from September 10 to 30, 2009 and analyzed using Pearson's correlation coefficients and stepwise multiple regression analysis. Results: The mean score of the OC was 2.45, slightly higher than the intermediate level. The mean score of the three-dimensional domain among the OC, affective commitment (AC) was 2.50, continuance commitment (CC) was 2.59, and normative commitment (NC) was 2.29. The influencing factors of nurses' AC were perceived organizational support (POS) (${\beta}$=.31, p<.001), supervisory trust, job burnout, nursing professionalism, and age, which accounted for 49.7%. The influencing factors of the CC were supervisory trust (${\beta}$=.20, p<.001), POS, and job burnout whereas the influencing factors of the NC were POS (${\beta}$=.40, p<.001), supervisory trust, nursing professionalism, and job burnout. Conclusion: It is necessary to develop supportive strategies that increase OC, which also improve the POS, nursing professionalism, and supervisory trust, and alleviate job burnout in hospital nurses.