• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.11 no.3
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• pp.145-155
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• 2016

The purpose of this study is to review the relationship between empowerment and innovative behavior, and the moderating effect of psychological ownership in small business. In order to verify and achieve the purposes mentioned above, questionnaire data are gathered and analysed from 315 employees in manufacturing enterprises of Kangwon-do province. Multiple regression and multiple hierarchical regression analysis were applied to test the proposed hypotheses: 1) the relationship between empowerment(meaning, autonomy, self-efficacy, impact) and innovative behavior(idea development, idea implementation), 2) the moderating effect of PO(psychological ownership for organization) on the relationship between empowerment and innovative behavior, 3) the moderating effect of PJ(psychological ownership for job) on the relationship between empowerment and innovative behavior. Empirical survey's findings are as follows; First, empowerment(meaning, autonomy, self-efficacy, impact) appeared to be positively related with innovative behavior(idea development, idea implementation). Second, there was no evidence of moderating effect of PO on the relationship between empowerment and innovative behavior. Third, meaning of work was more positively related with innovative behavior(idea development, idea implementation) in higher PJ group than in lower PJ group. Fourth, impact was more positively related with idea implementation in higher PJ group than in lower PJ group.

• International Journal of Oral Biology
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• v.48 no.2
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• pp.9-18
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• 2023

The rapid detection of bacteria in the oral cavity, its species identification, and bacterial count determination are important to diagnose oral diseases caused by pathogenic bacteria. The existing clinical microbial diagnosis methods are time-consuming as they involve observing patients' samples under a microscope or culturing and confirming bacteria using polymerase chain reaction (PCR) kits, making the process complex. Therefore, it is required to analyze the development status of substances and systems that can rapidly detect and analyze pathogenic microorganisms in the oral cavity. With research advancements, a close relationship between oral and systemic diseases has been identified, making it crucial to identify the changes in the oral cavity bacterial composition. Additionally, an early and accurate diagnosis is essential for better prognosis in periodontal disease. However, most periodontal disease-causing pathogens are anaerobic bacteria, which are difficult to identify using conventional bacterial culture methods. Further, the existing PCR method takes a long time to detect and involves complicated stages. Therefore, to address these challenges, the concept of point-of-care (PoC) has emerged, leading to the study and implementation of various chair-side test methods. This study aims to investigate the different PoC diagnostic methods introduced thus far for identifying pathogenic microorganisms in the oral cavity. These are classified into three categories: 1) microbiological tests, 2) microchemical tests, and 3) genetic tests. The microbiological tests are used to determine the presence or absence of representative causative bacteria of periodontal diseases, such as A. actinomycetemcomitans, P. gingivalis, P. intermedia, and T. denticola. However, the quantitative analysis remains impossible, and detecting pathogens other than the specific ones is challenging. The microchemical tests determine the activity of inflammation or disease by measuring the levels of biomarkers present in the oral cavity. Although this diagnostic method is based on increase in the specific biomarkers proportional to inflammation or disease progression in the oral cavity, its commercialization is limited due to low sensitivity and specificity. The genetic tests are based on the concept that differences in disease vulnerability and treatment response are caused by the patient's DNA predisposition. Specifically, the IL-1 gene is used in such tests. PoC diagnostic methods developed to date serve as supplementary diagnostic methods and tools for patient education, in addition to existing diagnostic methods, although they have limitations in diagnosing oral diseases alone. Research on various PoC test methods that can analyze and manage the oral cavity bacterial composition is expected to become more active, aligning with the shift from treatment-oriented to prevention-oriented approaches in healthcare.

• Journal of Korean Academy of Nursing Administration
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• v.8 no.1
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• pp.85-95
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• 2002

The purpose of this study was to develope a critical pathway for the chemotherapy of non-small cell lung cancer patients and to identify its effects after implementation. Critical pathway was developed through 5 steps including content and clinical validity tests with collaborative efforts of nurses, clinicians, and other allied healthcare professionals with the aim of improving the quality of patient care, while minimizing cost to the patients. This paper was described an evaluation of the impact of a developed critical pathway on complication rate, length of stay, costs, the interval of treatment and patient satisfaction by nonequivalent control group posttest-only non-synchronized research design.Results were compared between the two groups of patients. There were no significant differences in demographic variables and the occurrence of bone marrow suppression between experimental group and control group(t=-0.01, p=0.992). There were statistically significant decreases in the average length of stay(t=-10.45, p=0.000), in the average cost(t=-2.988, p=0.004), and in the interval of treatment(t=-6.75, p=0.000) after implementation of the critical pathway compared to control group. Also, there was a statistically significant improvement of the patient satisfaction after implementation of the critical pathway compared to control group(t=4.57, p=0.000). This paper concludes that critical pathway in chemotherapy for lung cancer, implemented in the context of an general hospital, is the useful tool to shorten the hospital stay, reduce treatment costs, and improve the quality of life in cancer patients. Further study needs to be conducted to identify other clinical outcomes including job satisfaction, collaboration among health professionals and potential for use in education. Also, it is recommended that nurses should revise continuously the developed critical pathway through clinical implementation and maintain their role of patient advocacy through monitoring pathway compliance.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.5
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• pp.2299-2318
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• 2019

Location-aware networks are of great importance for both civil lives and military applications. Methods based on line-of-sight (LOS) measurements suffer sever performance loss in harsh environments such as indoor scenarios, where sensors can receive both LOS and non-line-of-sight (NLOS) measurements. In this paper, we propose a data association (DA) process based on the expectation maximization (EM) algorithm, which enables us to exploit multipath components (MPCs). By setting the mapping relationship between the measurements and scatters as a latent variable, coefficients of the Gaussian mixture model are estimated. Moreover, considering the misalignment of sensor position, we propose a space-alternating generalized expectation maximization (SAGE)-based algorithms to jointly update the target localization and sensor position information. A two dimensional (2-D) circularly symmetric Gaussian distribution is employed to approximate the probability density function of the sensor's position uncertainty via the minimization of the Kullback-Leibler divergence (KLD), which enables us to calculate the expectation step with low computational complexity. Moreover, a distributed implementation is derived based on the average consensus method to improve the scalability of the proposed algorithm. Simulation results demonstrate that the proposed centralized and distributed algorithms can perform close to the Monte Carlo-based method with much lower communication overhead and computational complexity.

• Journal of Engineering Education Research
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• v.23 no.1
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• pp.47-58
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• 2020

Kunsan National University obtained accreditation for its Architecture & Building Engineering Program from the Accreditation Board for Engineering Education in Korea (ABEEK) in 2004 and has offered an ABEEK-accredited degree pathway ever since. Then, in 2018, the university introduced the course-embedded outcomes assessment system as per ABEEK's KEC2015 accreditation criteria. One year into its implementation, the new system allows the measurement and assessment of 10 program outcomes covering 19 curricular modules and 1 non-curricular licensing examination. The system incorporates the four areas of specialization within architectural engineering as well as the three course categories of the math, science, and computer; liberal arts; and engineering core modules under the accreditation scheme. It also takes the students' academic years into account, especially for the mandatory modules offered to all students. Its rubric clarifies the performance criteria, performance level, assessment tools, objectives, and modules. The 2018 course-embedded outcomes assessment system is an ever-evolving structure with regular CQI: Continuous Quality Improvements along the circular process of system establishment → implementation → evaluation as per the virtuous cycle model required for an accredited engineering program.

• Journal of Korea Society of Digital Industry and Information Management
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• v.8 no.4
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• pp.159-165
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• 2012

The accurate focusing position should be determined for accurate measurements In VMS. Camera lens focusing is an important problem in computer vision and video measuring systems (VMS) that use CCD cameras and high precision XYZ stages. Camera focusing is a very important step in high precision measurement systems that use computer vision technique. The auto focusing process consists of two steps, the focus value measurement step and the exact focusing position determination step. It is suitable for eliminating high frequency noises with lower processing time and without blurring. An automatic focusing technique is applied to measure a crater with a one-dimensional search algorithm for finding the best focus. Throughout this paper, the suggested algorithm for the Auto focusing was combined with the learning. As a result, it is expected that such a combination would be expanded into the system of recognizing voices in a noisy environment.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.10a
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• pp.63-65
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• 2011

Current general-purpose electromagnetic field simulator has been widespread and is being used to antenna design, EMC design, measurement, and microwave device design, etc. This paper is to solve various electromagnetic problems of X-band region for the purpose multi-core-based PC utilizing network resources more efficiently, and then the electromagnetic field simulator based on TCP / IP-based network topology, configuration, and its framework design is proposed.

• International Journal of Computer Science & Network Security
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• v.21 no.4
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• pp.255-263
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• 2021

Smart grid is a fully-automated, bi-directional, power transmission network based on the physical grid system, which combines sensor measurement, computer, information communication, and automatic control technology. Blockchain technology, with its security features, can be integrated with Smart Grids to provide secure and efficient power management and transmission. This paper dicusses the deployment of Blockchain technology in Smart Grid. It presents application areas and protocols in which blockchain can be applied to in securing smart grid. One application of each area is explored in detail, such as efficient peer-to-peer transaction, lower platform costs, faster processes, greater flexibility in power generation to transmission, distribution and power consumption in different energy storage systems, current barriers obstructing the implementation of blockchain applications with some level of maturity in financial services but concepts only in energy and other sectors. Wide range of energy applications suggesting a suitable blockchain architecture in smart grid operations, a sample block structure and the potential blockchain technicalities employed in it. Also, added with efficient data aggregation schemes based on the blockchain technology to overcome the challenges related to privacy and security in the smart grid. Later on, consensus algorithms and protocols are discussed. Monitoring of the usage and statistics of energy distribution systems that can also be used to remotely control energy flow to a particular area. Further, the discussion on the blockchain-based frameworks that helps in the diagnosis and maintenance of smart grid equipment. We have also discussed several commercial implementations of blockchain in the smart grid. Finally, various challenges have been discussed for integrating these technologies. Overall, it can be said at the present point in time that blockchain technology certainly shows a lot of potentials from a customer perspective too and should be further developed by market participants. The approaches seen thus far may have a disruptive effect in the future and might require additional regulatory intervention in an already tightly regulated energy market. If blockchains are to deliver benefits for consumers (whether as consumers or prosumers of energy), a strong focus on consumer issues will be needed.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.4
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• pp.2665-2673
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• 2015

The purpose of this study is to develop a web-based database system to manage effectively data collected to evaluate program learning outcomes (PO) in a nursing school. The database management system (DBMS) was developed using a software development life cycle method: Analysis, Design, Implementation, and Evaluation. The demands for the content and system of users were collected. The system structure, database using an entity-relationship modeling, and user interface were designed based on the demands. The designed DBMS was created using GWT, Java and Apache HTTP server. The expert group and users evaluated the implemented DBMS. Problems derived from them were modified. The average of end-user computing satisfaction evaluated by 8 nursing faculty and 5 teaching assistants was 4.14 (SD =.44). The web-based PO DBMS makes it possible for nursing faculty members to access and use much of the information needed for analysis and decision-making.

• Journal of the Korea Society of Computer and Information
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• v.16 no.2
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• pp.47-53
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• 2011

The detection process of defective tags in most of Korean domestic RFID manufacturing companies is treated by on-hand processing after the job of chip bonding, so it has been requested to reduce the time and cost for manufacturing of RFID tags. Therefore, in this paper, we implement the system to perform the detection of defective tags after the process of chip bonding, and so provide the basis of software to establish the foundation of automation system for the detection of defected RFID tags which is requested in the related Korean domestic industrial field. We have developed the system by using UML in modeling phase and JAVA in implementation phase to reduce the cost of development of program and make it easy to maintain. The developed system in this paper shows the very enhanced performance in processing speed and perfect detection rate of defective tags, comparing to the method of on-hand processing.