• Journal of Convergence for Information Technology
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• v.12 no.4
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• pp.199-204
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• 2022

This study analyzed mediating effect of job satisfaction between directors' leadership and workers' organizational commitment in senior clubs. A survey of 288 workers in Chungcheong and Daejeon was conducted. The statistical analysis methods were frequency, correlation, confirmatory factor analysis, and bootstrap. The analysis result was that directors' leadership had positive effect on workers' organizational commitment and mediating effect of job satisfaction was verified. For improving directors' leadership, it is necessary to develop various leadership education and training programs, to induce voluntary participation in the programs, and to include the participation of leadership program in facility evaluation. To advance workers' job satisfaction, we need various exchange programs with colleagues and peer groups, mentoring and rest service to manage emotional labor, and professional job education and supervision.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.6
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• pp.1081-1088
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• 2021

The modern wireless communication system employes the beamforming technique based on a massive array antenna with a number of elements, for supporting the smooth communication services. A reliable beamforming technology requires the Angle-of-Arrival(: AOA) information for the signal incident to the receiving antenna, which is generally estimated by the high-resolution AOA estimation algorithm such as Multiple Signal Classification(: MUSIC). Although the MUSIC algorithm has the excellent estimation performance, it is difficult to estimate AOA in real time for the massive array antenna due to the extremely high computational complexity. In order to enhance this problem, in this paper, we propose the cascade AOA estimation algorithm based on a Flexible Massive Concentric Circular Array(: FMCCA) antenna with the On/Off function for antenna elements. The proposed cascade algorithm consists of the CAPON algorithm using some elements among entire antenna elements and the Beamspace MUSIC algorithm using entire elements. We provide computer simulation results for various scenarios to demonstrate the AOA estimation performance of the proposed approach.

• Current Photovoltaic Research
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• v.9 no.4
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• pp.128-132
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• 2021

Advances in screen printing technology have been led to development of high efficiency silicon solar cells. As a post PERx structure, an n-type wafer-based rear side TOPCon structure has been actively researched for further open-circuit voltage (Voc) improvement. In the case of the metal contact of the TOPCon structure, the poly-Si thickness is very important because the passivation of the substrate will be degraded when the metal paste penetrates until substrate. However, the thin poly-Si layer has advantages in terms of current density due to reduction of parasitic absorption. Therefore, poly-Si thickness and firing temperature must be considered to optimize the metal contact of the TOPCon structure. In this paper, we varied poly-Si thickness and firing peak temperature to evaluate metal induced recombination (Jom) and contact resistivity. Jom was evaluated by using PL imaging technique which does not require both side metal contact. As a results, we realized that the SiN_x deposition conditions can affect the metal contact of the TOPCon structure.

• The Journal of Information Systems
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• v.31 no.1
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• pp.289-304
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• 2022

Purpose The development of the network and mobile industries has induced companies to invest in information systems, leading a new industrial revolution. The Journal of Information Systems, which developed the information system field into a theoretical and practical study in the 1990s, retains a 30-year history of information systems. This study aims to identify academic values and research trends of JIS by analyzing the trends. Design/methodology/approach This study aims to analyze the trend of JIS by compounding various methods, named as TLS mining analysis. TLS mining analysis consists of a series of analysis including Term Frequency-Inverse Document Frequency (TF-IDF) weight model, Latent Dirichlet Allocation (LDA) topic modeling, and a text mining with Semantic Network Analysis. Firstly, keywords are extracted from the research data using the TF-IDF weight model, and after that, topic modeling is performed using the Latent Dirichlet Allocation (LDA) algorithm to identify issue keywords. Findings The current study used the summery service of the published research paper provided by Korea Citation Index to analyze JIS. 714 papers that were published from 2002 to 2012 were divided into two periods: 2002-2011 and 2012-2021. In the first period (2002-2011), the research trend in the information system field had focused on E-business strategies as most of the companies adopted online business models. In the second period (2012-2021), data-based information technology and new industrial revolution technologies such as artificial intelligence, SNS, and mobile had been the main research issues in the information system field. In addition, keywords for improving the JIS citation index were presented.

• Journal of Convergence for Information Technology
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• v.12 no.4
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• pp.77-84
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• 2022

The aim of this study was to identify the convergence influencing factors on disaster nursing core competencies of nursing students. The subjects of this study surveyed 187 nursing students in D city with a structured self-report questionnaire. Data were analyzed by the SPSS 18.0 program, t-test, ANOVA, correlation and multiple regression. The disaster nursing core competencies average mean score was 3.15(±0.40). Grade and satisfaction of clinical practice were the significant factors related to disaster nursing core competencies in these subjects. Disaster nursing core competencies was positively correlated with disaster perception, disaster attitudes and self-efficacy. The influencing factors on disaster nursing core competencies were self-efficacy(β=0.276), disaster attitudes(β=0.200) and grade(β=0.172). The explanatory power of these variables was 19.1%. Therefore, it is necessary to develop disaster related curriculum and subjects that can improve the disaster nursing core competencies based on the important factors affecting the disaster nursing core competencies.

• Journal of Convergence for Information Technology
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• v.12 no.4
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• pp.9-13
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• 2022

In this paper, the tracking error of monopulse radar caused by cross-eye jamming using terrain bounce is analyzed. Cross-eye jamming is a method of generating an error in a radar tracking system by simultaneously transmitting two signals with different phases and amplitudes. When the monopulse radar receives the cross-eye jamming signal generated by the terrain bounce, a tracking error occurs in the elevation direction. In the presence of multipath, this signal is a combination of the direct target return and a return seemingly emanating from the target image beneath the terrain surface. Terrain bounce jamming has the advantage of using a single jammer, but the space affecting the jamming is limited by the terrain reflection angle and the degree of scattering of the terrain. This study can be usefully used to protect ships from low-altitude missiles or aircraft in the sea.

• Journal of Convergence for Information Technology
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• v.12 no.4
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• pp.23-30
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• 2022

The study was attempted to investigate the factors influencing the academic procrastination of nursing college students. The subjects who participated in this study were 215 nursing students at one college in the Ulsan were surveyed using a structured questionnairs. Independent t-test, one way ANOVA and Pearson's correlation coefficient, Stepwise regression were performed on the collected data using SPSS 25.0 program. Study finding revealed that fear of failure(β=0.65, p<.001), socially prescribed perfectionism(β=0.29, p<.001), about academic procrastination were significant predictive variables(F=26.68, p<.001). This variables accounted for 28.8% of the variance in core nursing competency. The results of this study can be used as basic data for developing a program to lower the academic procrastination level of nursing students.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.4
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• pp.526-532
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• 2022

With the development of IoT technology, image processing is being utilized in various fields such as image analysis, image recognition, medical industry, and factory automation. Noise is generated in image data from causes such as defect in transmission line. Image noise must be removed because it damages the performance of the image processing application program. Salt and Pepper noise is a representative type of image noise, and various studies have been conducted to remove Salt and Pepper noise. Widely known methods include A-TMF, AFMF, and SDWF. However, as the noise density increases, the performance deteriorates. Thus, this paper proposes an algorithm that performs filtering using a fuzzy logic weight mask only in case of noise after noise determination. In order to prove the noise removal performance of the proposed algorithm, an experiment was performed on images with 10% to 90% noise added and the PSNR was compared.

• Journal of Convergence for Information Technology
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• v.12 no.4
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• pp.95-102
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• 2022

The purpose of this study was to compare the psychological state of nursing students according to classes in the face-to-face and non-face-to-face situations during COVID-19. Subjects were randomly expressed. As for the analysis method, the difference in the scores of the dependent variables between the two groups was analyzed by an independent t-test. As a result of the study, The degree of depression and anxiety between the two groups was higher in face-to-face students(8.16±9.48, 8.20±9.93) and non-face-to-face students(7.08±8.38, 6.53±8.23) but not statistically significant (t=1.143(.254), (t=1.728(.085)). These results are used for the basis for preparing a program for psychological relief for students participating in face-to-face classes, and a repeated study on psychological depression and anxiety among students is suggested in the future when social distancing is prolonged.

• Journal of Convergence for Information Technology
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• v.12 no.4
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• pp.177-186
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• 2022

The purpose of this study is to suggest operation plans for library programs in preparation for the post-COVID-19 by analyzing the current status of library programs before and after the outbreak of COVID-19 based on the data of the Seongnam public libraries on the Public Data Portal. So, based on 1,317 data collected through the data purification process for duplicates and errors in the files uploaded by Seongnam City, ①programs' subject & type, ②program target users, ③program operation types(online or offline), ④program operating time & number of days, ⑤characteristics of programs preferred by users etc. were analyzed. As results of the analysis, online programs were not operated at all before COVID-19, but online programs started to be operated in earnest after August 2020. Also, there were many experiential activity lectures for infants and elementary school students in 2019, but reading activity lectures for adults and elementary school students increased in 2020. There were many types of online lectures, such as real-time lectures using online video conferencing programs, YouTube video viewing & live broadcasting, and the use of Naver Band & Cafe.