• Journal of Navigation and Port Research
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• v.46 no.1
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• pp.1-10
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• 2022

This study aims to investigate changes in the demand for ship officers in response to changes in the shipping industry environment in which Maritime Autonomous Surface Ships (MASS) emerge according to the application of the fourth industrial revolution technology to ships, and it looks into changes in the skill of ship officer. It also analyzes and proposes a plan for nurturing ship officers accordingly. As a result of the degree of recognition and AHP analysis, this study suggests that a new training system is required because the current training and education system may cover the job competencies of emergency response, caution and danger navigation, general sailing, cargo handling, seaworthiness maintenance, emergency response, and ship maintenance and management, but tasks such as remote control, monitoring diagnosis, device management capability, and big data analysis require competency for unmanned and shore-based control. By evaluating the importance of change factors in the duties of ship officers in Maritime Autonomous Surface Ships, this study provides information on ship officer educational institutions' response strategies for nurturing ship officers and prioritization of resource allocation, etc. The importance of these factors was compared and evaluated to suggest changes in the duties of ship officers and methods of nurturing ship officers according to the introduction of Maritime Autonomous Surface Ships. It is expected that the findings of this study will be meaningful as it systematically derives the duties and competency factors of ship officers of Maritime Autonomous Surface Ships from a practical point of view and analyzed the perception level of each relevant expert to diagnose expert-level responses to the introduction of Maritime Autonomous Surface Ships.

• Korean Journal of Agricultural and Forest Meteorology
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• v.19 no.3
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• pp.164-173
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• 2017

Alternative cropping systems would be one of climate change adaptation options. Suitable areas for a crop could be identified using a climate suitability model. The EcoCrop model has been used to assess climate suitability of crops using monthly climate surfaces, e.g., the digital climate map at high spatial resolution. Still, a high-performance computing approach would be needed for assessment of climate suitability to take into account a complex terrain in Korea, which requires considerably large climate data sets. The objectives of this study were to implement a script for R, which is an open source statistics analysis platform, in order to use the EcoCrop model under a parallel computing environment and to assess climate suitability of maize using digital climate maps at high spatial resolution, e.g., 1 km. The total running time reduced as the number of CPU (Central Processing Unit) core increased although the speedup with increasing number of CPU cores was not linear. For example, the wall clock time for assessing climate suitability index at 1 km spatial resolution reduced by 90% with 16 CPU cores. However, it took about 1.5 time to compute climate suitability index compared with a theoretical time for the given number of CPU. Implementation of climate suitability assessment system based on the MPI (Message Passing Interface) would allow support for the digital climate map at ultra-high spatial resolution, e.g., 30m, which would help site-specific design of cropping system for climate change adaptation.

• Journal of Internet Computing and Services
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• v.10 no.3
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• pp.159-172
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• 2009

The purposes of this study were to identify factors affecting the quality of universities' e-learning contents from the perspectives of learners and to find out specific solutions for improving them. To achieve these goals, research questions were established as follows: 1) What factors were influencing the quality of universities' e-learning contents, and how were learners perceived about each factor(by its importance and satisfaction)? 2) Were there any differences on the learners' perceptions about each factor(by its importance and satisfaction)? 3) What were any specific ways to enhance the quality of universities' e-learning contents? The participants were of 543 university students who took at least one e-learning course and were living in the metropolitan areas(Seoul, Incheon, Gyeonggi). The survey questionnaire was consisted of 38 items developed through the literature review. To analyze the data collected, factor analysis and paired-sample t-test were conducted. The results were as follows: Five identified factors influencing the quality of universities' e-learning contents from the perspectives of learners were instructional strategies, learning contents, usability, evaluation/feedback, and interface design, and all identified factors were statistically significant differences among the learners' perceptions of its importance and satisfaction. The analysis results of importance-satisfaction matrix by each factor showed that 1) learning contents was the factor that current status should be at least continuously maintained, 2) usability, instructional strategies, and evaluation/feedback were the factors that learners' satisfactions still need to be increased although those importances were not relatively high, and 3) interface factor was important, while learners' satisfaction toward it was not much high so that solutions to increase the satisfaction need to be immediately considered. Based on the results, several suggestions to enhance universities' e-learning contents from the learners' perspectives were also recommended.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.3
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• pp.1356-1366
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• 2011

The TPM(Trusted Platform Module) is a hardware chip to support a trusted computing environment. A rightful user needs a command authorization process in order to use principal TPM commands. To get command authorization from TPM chip, the user should perform the OIAP(Object-Independent Authorization Protocol) or OSAP(Object-Specific Authorization Protocol). Recently, Chen and Ryan alerted the vulnerability of insider attack on TPM command authorization protocol in multi-user environment and presented a countermeasure protocol SKAP(Session Key Authorization Protocol). In this paper, we simulated the possibility of insider attack on OSAP authorization protocol in real PC environment adopted a TPM chip. Furthermore, we proposed a novel countermeasure to defeat this insider attack and improve SKAP's disadvantages such as change of command suructures and need of symmetric key encryption algorithm. Our proposed protocol can prevent from insider attack by modifying of only OSAP command structure and adding of RSA encryption on user and decryption on TPM.

• Korean Journal of Remote Sensing
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• v.30 no.4
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• pp.431-444
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• 2014

As applications of spaceborne SAR imagery are extended, there are increased demands for accurate registrations for better understanding and fusion of radar images. It becomes common to adopt multi-resolution SAR images to apply for wide area reconnaissance. Geometric correction of the SAR images can be performed by using satellite orbit and attitude information. However, the inherent errors of the SAR sensor's attitude and ground geographical data tend to cause geometric errors in the produced SAR image. These errors should be corrected when the SAR images are applied for multi-temporal analysis, change detection applications and image fusion with other sensor images. The undesirable ground registration errors can be corrected with respect to the true ground control points in order to produce complete SAR products. Speeded Up Robust Feature (SURF) technique is an efficient algorithm to extract ground control points from images but is considered to be inappropriate to apply to SAR images due to high speckle noises. In this paper, an attempt is made to apply SURF algorithm to SAR images for image registration and fusion. Matched points are extracted with respect to the varying parameters of Hessian and SURF matching thresholds, and the performance is analyzed by measuring the imaging matching accuracies. A number of performance measures concerning image registration are suggested to validate the use of SURF for spaceborne SAR images. Various simulations methodologies are suggested the validate the use of SURF for the geometric correction and image registrations and it is shown that a good choice of input parameters to the SURF algorithm should be made to apply for the spaceborne SAR images of moderate resolutions.

• 한국방재학회:학술대회논문집
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• 2011.02a
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• pp.192-192
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• 2011

교토의정서에서 지구온난화의 원인이 되는 온실가스로 $CO_2$, $CH_4$, $N_2O$, HFCs, PFCs, $SF_6$를 규제하고 있다. 규제하는 6대 온실가스 가운데 $CO_2$가 가장 대표적이며, 우리나라의 연료연소에 의한 $CO_2$ 배출량은 세계 10위로 기후변화 진행속도는 세계 평균속도보다 빠르게 진행되고 있다. 이러한 기후변화에 대응하기 위하여는 온실가스 배출로 인한 DB구축 연구가 선행되어야 하며, 산림부분에 있어서는 연료의 열적특성 구명 연구가 극도로 미진한 국내현실에서 기초 data 확보를 위한 연구가 시급한 실정이다. 따라서, 본 연구에서는 산불발생 시 온실가스 배출량의 DB를 구축하기 위하여 산불발생 시 배출되는 탄소배출량을 예측하고자 산림 가연물의 연소실험을 수행 하였다. 연소실험은 산림 연료 가운데 지표연료 10가지(소나무낙엽, 굴참나무낙엽, 소나무솔방울, 밤나무밤송이껍질, 방아풀, 주름조개풀, 칡, 엉겅퀴, 김의털, 고비)를 대상으로 콘칼로리미터 장비를 이용하여 이산화탄소와 일산화탄소 배출량을 분석하였다. 탄소배출량 실험에 앞서 지표연료들의 함수율을 측정한 결과, 10가지 지표연료 가운데 고사한 연료(낙엽, 솔방울, 밤송이)는 9~24% 정도, 생연료인 초본류 6가지는 181~484% 정도인 것으로 나타났으며, 솔방울과 밤송이의 경우 9~10%로 가장 수분을 적게 함유하고 있음을 알 수 있었다. 탄소배출량 분석 결과, 50g 중량에 대한 10가지 지표연료들의 이산화탄소 총배출량은 28~98g 정도, 일산화탄소 총배출량은 0.76~4.08g 정도 배출하는 것으로 나타나 연료별 차이를 보였으며, 특히, 고사한 연료와 생연료의 탄소배출량 차이는 큰 것으로 나타났다. 일산화탄소 총배출량은 고사한 연료(소나무낙엽, 굴참나무 낙엽, 소나무 솔방울, 밤나무 밤송이)는 3.24~4.08g 정도, 생연료 초본류 6가지(방아풀, 주름조개풀, 칡, 엉겅퀴, 김의털, 고비)는 0.76~2.73g 정도 배출하는 것으로 나타났다. 이산화탄소 총배출량은 함수율이 현저히 낮은 4가지 연료(소나무 낙엽, 굴참나무 낙엽, 소나무 솔방울, 밤나무 밤송이 껍질)들은 52~98g 정도, 함수율이 높은 6가지 초본류는 28~48g 정도의 이산화탄소를 배출하는 것으로 나타났다. 따라서, 고사한 연료인 소나무 낙엽, 굴참나무 낙엽, 소나무 솔방울, 밤나무 밤송이는 초본류 보다 상대적으로 이산화탄소와 일산화탄소 배출량이 많은 것으로 나타났으며, 특히, 소나무 솔방울은 가장 많은 이산화탄소와 일산화탄소를 배출하는 것으로 나타났다. 상대적으로 방아풀과 주름조개풀은 각각 28g과 35g으로 이산화탄소 배출량이 작은 것으로 나타났다. 따라서, 산불발생 시, 소나무의 솔방울은 10가지 지표연료 가운데 상대적으로 많은 이산화탄소와 일산화탄소를 배출할 것으로 사료된다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.2
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• pp.422-428
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• 2018

This study was conducted to investigate the effects of trunk stability exercise on knee function, balance and gait in patients who underwent total knee arthroplasty. The subjects of this study were recruited from individuals diagnosed with degenerative arthritis who had undergone total knee arthroplasty. Overall, 24 patients were randomly divided into a control groups and an experimental groups (12 each). The trunk stability exercise was conducted for 4 weeks with three exercises developed in a previous study. The measurement tools used were knee function measurements based on the Lysholm knee score, balance ability measured using a test of TUG and OLS, and a walking ability test measured using a 10MWT. Pre and post test results were within groups were compared using the paired t-test, whole differences between groups were compared using the independent t-test. The experimental group showed significantly enhanced results relative to the control group (p<0.05). Based on these results, trunk stability exercise in parallel with knee joint therapy effectively improves the recovery of patients with total knee arthroplasty.

• Korean Security Journal
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• no.62
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• pp.185-203
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• 2020

While overall crime has been on the decline since 2009, voice phishing has rather been on the rise. The government and academia have presented various measures and conducted research to eradicate it, but it is not enough to catch up with evolving voice phishing. In the study, researchers focused on catching criminals and preventing damage from voice phishing, which is difficult to recover from. In particular, a voice phishing prediction method using the Fraud Detection System (FDS), which is being used to detect financial fraud, was studied based on the fact that the victim engaged in financial transaction activities (such as account transfers). As a result, it was conceptually derived to combine big data such as call details, messenger details, abnormal accounts, voice phishing type and 112 report related to voice phishing in machine learning-based Fraud Detection System(FDS). In this study, the research focused mainly on government measures and literature research on the use of big data. However, limitations in data collection and security concerns in FDS have not provided a specific model. However, it is meaningful that the concept of voice phishing responses that converge FDS with the types of data needed for machine learning was presented for the first time in the absence of prior research. Based on this research, it is hoped that 'Voice Phishing Damage Prediction System' will be developed to prevent damage from voice phishing.

• Weed & Turfgrass Science
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• v.6 no.1
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• pp.40-54
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• 2017

The mound grave of Korean traditional funeral culture is a unique habitat which is a Zoysiagrass lawn being sustainable in proper management. We phytosociologically described an unusual Zoysiagrass vegetation with Gueldenstaedtia verna by the Zürich-Montpellier School's method and analyzed eco-floristic characteristics. A new association, Gueldenstaedtio-Zoysietum japonicae ass. nov. hoc loco, was identified and subdivided into festucetosum ovinae, typicum, and trifolietosum repensae. The subassociations were distinguished by the difference in species composition resulting from site accessibility and lawn management method. The association was assigned as not only a regional but also a locally-limited vegetation type, which distributes on a particular microhabitat with strong continentality in the Daegu regional subdistrict of Bioclimatological division. The Zoysiagrass vegetation of Korea was considered as a continental type apparently different from the oceanic type of Zoysion japonicae (Miscanthetea sinensis, Caricetalia nervatae). Mound graves in Korea should be acknowledged as a meaningful habitat for the in-situ conservation of biodiversity and phytocoenosen, despite being a secondary grassland of Gueldenstaedtio-Zoysietum japonicae.

• Information Systems Review
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• v.14 no.2
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• pp.65-92
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• 2012

Smart work, which is defined as work performed at home, satellite offices or with the smart devices to continually collaborate with the co-workers in anytime, anywhere using IT, is attracting much attention as an alternative work way to cope with the demographical changes of the low fertility and aging. Whereas some implementation cases of smart work have been considered as the success, the other cases have been reported as the failure to implement smart work practices. Nevertheless, there are few researches to identify the reasons of successful ways to adopting smart work. This study integrated the IT-based changes with the smart work practices to identify the critical success factors of smart work in individual, organization and industry levels. As the results, we found out the expected values of introduction, core elements of implementation, and industry characteristics to efficient adoption for smart work. Also, this study compared these evidences with the incumbent smart work policies. The contributions of this study is to develop the guideline to adopting smart work, the smart work implementation strategy and the improvement on the business process.