• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.2
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• pp.67-75
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• 2021

The structure of universities needs to be adjusted and reformed to cope with the decrease in admission resources and the quality of education due to the low birth rate and aging population. Such a policy is receiving much attention. To analyze the relative efficiency of private universities in Korea from the perspective of resource and performance, this study evaluated the efficiency of private university operation by applying a DEA(Data Envelopment Analysis) technique. The DEA measurements were compared with the diagnosis results of the department of education (Government) in 2018. The input and output variables used in the research analysis were utilized by the university's notification materials (public disclosure information). An analysis of the operational efficiency showed that 48% (12 universities) of the 25 DMUs (Decision Making Unit) were efficient for DEA-BCC models and that some of the capacity-building universities were operating efficiently. In addition, the DEA analysis found ways to improve inefficient groups through DEA-Additive results. This paper can be meaningful because it confirmed the relative efficiency of private universities and suggested improvement directions through the DEA method, which is characterized by the simultaneous consideration of various input and output factors. This will help apply the limited resources related to the input and output elements of each university.

• The Southeast Asian review
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• v.28 no.2
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• pp.213-247
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• 2018

Thailand in 2017 the public sentiment has turned against the military government. The four pledges the military declared immediately after the 2014 coup, restoration of democracy, addressing of divisive politics, eradication of corruption, and stimulation of the economy have all failed. In the same year, however, Thai military junta began to recover it's diplomatic relationship with western countries including US and EU owing to promulgation of the new constitution endorsed by King Maha Vajiralongkorn and the lavish funeral of late King Bhumibol Adulyadej which was attended by huge number of condolence delegations from around the world including US Defense Secretary James Mattis. Since the 2014 coup, US has sanctioned the country under military junta led by General Prayuth Chan-o-cha for urging them back to the barracks. EU also joined this sanction measures. US signaled change in it's policy when General Prayuth got the chance to visit US and meet President Donal Trump in 2017. General Prayuth Chan-o-cha's military junta could start to restore it's reputation internationally. Domestically, he used absolute powers based on section 44 of the interim constitution, also guranteed in the new constitution. Oversea and national human rights groups have criticized that the interim constitution for permitting the NCPO, Thai military junta's official name, to carry out policies and actions without any effective oversight or accountability for human rights violations. On 1 December 2017, Thailand marked the one-year anniversary of King Maha Vajiralongkorn's accession to the throne as the country's new monarch, Rama X. In the first year of King Rama X's reign, arrests, prosecutions, and imprisonment under Article 112 of Thailand's Criminal Code (lese-majeste) have continued unabated in Thailand. NCPO has continued to abuse Article 112 to detain alleged violators and curb any form of discussion regarding the monarchy, particularly on social media. In this worsening human rights environment General Prayuth Chan-o-cha enforced continuously campaign like Thai-style democracy- an effort to promote largely autocratic 'Thainess' in such a way that freedom of expression is threatened. It is a resurgence of 'Sarit Model'. In the beginning of 2017 Thai military government raised the slogan of 'opportunity Thailand' in the context of 'Thailand 4.0' project which attempts to transform Thai economy based on industry-driven to innovation-driven for recovering robust growth. To consider freedom and liberty as a source of innovation, 'Thailand 4.0' led by 'Sarit Model' without democracy would be skeptical.

• Land and Housing Review
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• v.2 no.4
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• pp.429-437
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• 2011

The purpose of this research is to seek the suggestions applicable to Korean green-growth(development) policy and the realization of low carbon society by looking around the promotion policy and the process, the promotion system, main environmental policy in each city about the business for environmental model city in Japan which has been promoted in a city in order to realize low-carbon society. Japan had selected 13 local governments as an environmental model city as a part of a policy to build low-carbon society in 2008~2009, and Japan has formed information sharing between cities and provinces, the spread of information sharing and the free competition among local governments for an environmental model city through Zero Carbon City Promotion Council consisting of local governments and specialists. When examining these cases in Japan, the green-growth policy promoting currently in Korea needs to be converted from the central government-dominated policy to the local government-dominated policy and Koreaneeds to make more effort to develop software programs in order to realize green-growth social system.

• Journal of the Korea Society for Simulation
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• v.27 no.4
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• pp.47-60
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• 2018

Today's unmanned technology, which is being used in various industries, is expected to be able to make autonomous judgements as autonomous technology matures, in the long run aspects. In order to improve the usability of unmanned system in the military field, it is necessary to develop a technique for systematically and quantitatively analyzing the efficiency and effectiveness of the unmanned system by means of a substitute for the tasks performed by humans. In this paper, we propose the method of representing rule-based tactical behavior and modeling manned and unmanned reconnaissance agents that can effectively analyze the path alternatives which is required for the future armored cavalry to establish a reconnaissance mission plan. First, we model the unmanned ground vehicle, small tactical vehicle, and combatant as an agent concept. Next, we implement the proposed agent behavior rules, e.g., maneuver, detection, route determination, and combatant's dismount point selection, by NetLogo. Considering the conditions of maneuver, enemy threat elements, reconnaissance assets, appropriate routes are automatically selected on the operation area. It is expected that it will be useful in analyzing unmanned ground system effects by calculating reconnaissance conducted area, time, and combat contribution ratio on the route.

• The Journal of the Korea Contents Association
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• v.22 no.3
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• pp.165-178
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• 2022

In this study, to explore the psychological and biosocial characteristics of the temperament and character's latent profile group, first, the latent group was identified with the seven variables of the Temperament and Character Inventory(TCI), and second, the difference between the psychological and biosocial characteristics of three identified latent groups. A total of 287 university students participated, and the latent groups was identified through latent profile analysis, a human-centeted statistical method, using Cloninger's TCI, Cognitive Emotion Regulation Questionnaire(CERQ), Positive Affect and Negative Affect Schedule(PANAS), Composite Scale of Moriningness(CSM), Pittsburgh Sleep Qulity Index(PSQI), and Satisfaction With Life Scale(SWLS). As result, first, three latent groups were identified through latent profile analysis using the seven variables of TCI. second, significant differences were identified in CERQ, PANAS, which are psychological variables, CSM, PSQI, and SWLS, which are biosocial variables among the latent groups. In conclusion, the importance of Self-Directedness(SD), a character factor that can be developed rather than Harm-Avoidance(HA), a temperament factor from nature, was confirmed. And the necessity of follow-up studies on psychological and biosocial variables for adaptive and mature personality was discussed.

• Journal of KIISE:Computer Systems and Theory
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• v.32 no.7
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• pp.333-340
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• 2005

One of the most important core technologies required for the design of the ITS (Intrusion Tolerance System) that performs continuously minimal essential services even when the network-based computer system is partially compromised because of the external or internal intrusions is the quantitative dependability analysis of the ITS. In this paper, we applied self-healing mechanism, the core technology of autonomic computing to secure the protection power of the ITS. We analyzed a state transition diagram of the ITS composed of a Primary server and a backup server utilizing two factors of self-healing mechanism (fault model and system response) and calculated the availability of ITS through simulation experiments and also performed studies on two cases of vulnerability attack.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.3
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• pp.1073-1080
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• 2013

Owing to 88 Olympic, social atmosphere changed to more freely and abundant liquidity, which caused by trade surplus, had led to the surge in real estate prices. Accordingly, The Roh Taewoo government announced the construction of five new towns, Bun-dang, Il-san etc. The Kim Youngsam government had dramatically enhanced the transparency of transactions on real estate field by introducing real-name transaction system. Whereas the Kim Daejung government carried out real estate stimulus package to early recovery from Asian financial cirsis. But, the Roh Muhyeon government conducted strongly suppressing polices. This report want to testify governments' real estate polices and their effectiveness on the real estate market after '90s using VAR model.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.9
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• pp.1202-1208
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• 2020

In line with the current era of the 4th Industrial Revolution, it is necessary to prepare for the future by integrating AI elements in the ship sector. In addition, it is necessary to respond to this in the field of power management for the appearance of autonomous ships. In this study, we propose a battery-linked electric propulsion system (BLEPS) algorithm using machine learning's DNN. For the experiment, we learned the pattern of ship power consumption for each operation mode based on the ship data through LabView and derived the battery status through Python to check the flexibility of the generator and battery interlocking. As a result of the experiment, the low load operation of the generator was reduced through charging and discharging of the battery, and economic efficiency and reliability were confirmed by reducing the fuel consumption of 1% of LNG.

• Journal of Navigation and Port Research
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• v.46 no.4
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• pp.367-374
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• 2022

The purpose of this study was to propose a deep learning algorithm that applies to the fault diagnosis of fuel pumps and purifiers of autonomous ships. A deep learning algorithm reflecting the time dependence of the measured signal was configured, and the failure pattern was trained using the vibration signal, measured in the equipment's regular operation and failure state. Considering the sequential time-dependence of deterioration implied in the vibration signal, this study adopts Conv1D with sliding window computation for fault detection. The time dependence was also reflected, by transferring the measured signal from two-dimensional to three-dimensional. Additionally, the optimal values of the hyper-parameters of the Conv1D model were determined, using the grid search technique. Finally, the results show that the proposed data preprocessing method as well as the Conv1D model, can reflect the sequential dependency between the fault and its effect on the measured signal, and appropriately perform anomaly as well as failure detection, of the equipment chosen for application.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.38 no.4
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• pp.375-382
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• 2020

As the 4th Industrial Revolution era in worldwide, interest in autonomous vehicles is increasing. but due to recent safety issues such as pedestrian accidents and car accidents, as a technical model for this, the demand for 3D HD maps (High Definition maps) is increasing in including lanes, road markings, road information, traffic lights and traffic signs etc. However, since some complementary points have been continuously raised according to demand, It is necessary to collect the opinions of institutions and companies utilizing HD maps and to improve HD maps. This study was conducted by utilizing the results of the contest for usability verification of HD Maps hosted by the National Geographic Information Institute and organized by the Spatial Information Industry Promotion Institute. For this study, we researched HD maps' layers and codes for HD maps object usability to improve HD maps, constructed HD maps object usability items accordingly, and contested usability verification of HD maps according to the items The contestants conducted verification and analyzed the results. As a result, the most frequently used code for each layer was the flat intersection, and the code showing the highest usage rate was a safety sign. In addition, the use rate of the sub-section and height obstacles was 16.67% and 8.88%, respectively, showing a low ratio. In order to utilize HD maps in the future, this study is expected to require research to continuously collect opinions from customers and improve data objects and data models that are actually needed by customers.