• Journal of the Korean Society of Marine Environment & Safety
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• 제24권3호
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• pp.311-318
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• 2018

In accordance with the stipulations of the STCW Convention, simulation training has been enforced in order to develop practical skills so as to prevent accidents by predetermining the risks in special marine environments. Simulation training is a useful way to acquire navigation abilities, and can continuously measure the ability of a trainee by applying an appropriate evaluation. However, the result of training is evaluated by the instructor's subjective judgment without quantitative criteria. Therefore, this study aims to quantitatively evaluate the effectiveness of simulation training. For this purpose, evaluation items were derived by analyzing legal standards, earlier studies, and the current status of MET institutions. The simulations were then performed three times in the same scenarios and analyzed the results. As a result, it has been shown that the objectively analyzed ability to keep the route and to make safe passage with other vessel, as well as subjectively evaluated ability by the apprentice officer has been improved as training progressed. Through the evaluation of simulation training results, it can be derived that simulation education needs supplementation, and can be provided as a basic form of data to quantify the evaluation results of the simulation training in the future.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제5권3호
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• pp.592-606
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• 2011

Currently, the development of multimedia communication has progressed so rapidly that the video program service has become a requirement for ordinary customers. The quality of experience (QoE) for the visual signal is of the fundamental importance for numerous image and video processing applications, where the goal of video quality assessment (VQA) is to automatically measure the quality of the visual signal in agreement with the human judgment of the video quality. Considering the codec effect to the video quality, in this paper an efficient non-reference (NR) VQA algorithm is proposed which estimates the video quality (VQ) only by utilizing the distorted video signal at the destination. The VQA feature vectors (FVs) which have high relationships with the subjective quality of the distorted video are investigated, and a hybrid NR VQA (HNRVQA) function is established by considering the multiple FVs. The simulation results, testing on the SDTV programming provided by VCEG Phase I, show that the proposed algorithm can represent the VQ accurately, and it can be used to replace the subjective VQA to measure the quality of the video signal automatically at the destinations.

• Korean Journal of Culture and Social Issue
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• 제26권1호
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• pp.25-45
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• 2020

Intentionality judgement in criminal cases is a core area of fact finding that is root of guilty and sentencing judgment on the defendant. However, the third party is not sure the intentionality because it reflects subjective aspect of agent. Thus, mechanism behind intentionality judgment is an important factor to be properly understood by the academia and the criminal justice system. However, previous studies regarding intentionality judgment models have shown inconsistent results. Mental-state models proposed foreseeability(belief) and desire of agent at the time of the offence as key factors in intentionality judgment. These factors consistent with central things on intentionality judgment in criminal law. However, key factors in moral-evaluation models are blameworthiness of agent and badness of outcome reflected on the consequent aspect of act. Recently, deep-self concordance model emerged suggesting important factors on intentionality judgment are not mental states and moral evaluations but individual's deep-self. However, these models are limited in that they do not consider the important features of criminal cases, that the consequence of the case is inevitably negative, and therefore the actor who is a party to legal punishment rarely expresses his or her mental state at the time of the act. Therefore, this study suggests that, based on the existing intentionality judgment studies and the characteristics of the criminal case, the inference about who the agent was originally will play a key role in judging the intentionality in the criminal case. This is the moral-character model. Futhermore, In this regard, this study discussed what the media and criminal justice institutions should keep in mind and the directions for future research.

• Archives of design research
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• 제19권2호
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• pp.151-162
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• 2006

The purpose of this thesis is to upgrade brand logo's equity by objective and professional evaluating tool. A brand logo is the main factor in making brand equity, but many times a brand logo is decided without objective judgment because making a logo is considered an intuitive process. To minimize the poor judgment by non-experts, a brand logo needs objective numerical grading tool. Thus, a brand logo is a factor in making a brand identity, not only brand image. That is why brand logo must be chosen by an expert's object judgment. The concrete method to obtain a objective, and at the same time professional grading tool which can De used for the developing and verifying process for a brand logo is as below-first, considering brand judgment from various angles through existing literature, I found various logo grading factors and then extracted them with professional identity designer's subjective consideration. second, applying extracted factors to actual logo grading, verify as a efficient design management tool

• Journal of Internet Computing and Services
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• 제25권1호
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• pp.91-98
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• 2024

With the advancement of ICT (Information and Communication Technology), searching for judgments through the internet has become increasingly convenient. However, predicting sentencing based on judgments remains a challenging task for individuals. This is because sentencing involves a complex process of applying aggravating and mitigating factors within the framework of legal provisions, and it often depends on the subjective judgment of the judge. Therefore, this research aimed to develop a model for predicting sentencing using artificial intelligence by focusing on structuring the data from judgments, making it suitable for AI applications. Through theoretical and statistical analysis of previous studies, we identified variables with high explanatory power for predicting sentencing. Additionally, by analyzing 50 legal judgments related to serious crimes that are publicly available, we presented a framework for extracting essential information from judgments. This framework encompasses basic case information, sentencing details, reasons for sentencing, the reasons for the determination of the sentence, as well as information about offenders, victims, and accomplices evident within the specific content of the judgments. This research is expected to contribute to the development of artificial intelligence technologies in the field of law in the future.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1997년도 한국자동제어학술회의논문집; 한국전력공사 서울연수원; 17-18 Oct. 1997
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• pp.668-671
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• 1997

This paper describes a new process-plan selection method using a modified Fuzzy Quantification Theory(FQT). The problem for process-plan selection can be characterized by multiple attributes and used subjective, uncertain information. Fuzzy Quantification Theory is used for handling such informations because it is a useful tool when human judgment or evaluation is quantified via linguistic variables and the proposed method is concerned with the selection of a process plan by derivation of the values of categories for each attribute. In this paper, a modified Fuzzy Quantification Theory(FQT) is described and the procedure of this approach is explained and examples are illustrated.

• Proceedings of the Korean Society of Machine Tool Engineers Conference
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• 한국공작기계학회 2004년도 춘계학술대회 논문집
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• pp.3-8
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• 2004

When most manufacturing company produce grinding product operators decide grinding condition by experience and subjective judgment. The study on grinding manufacture have been developed to get the grinding condition with the same result when non-experienced or experienced worker work. The objective of this study is to develope the grinding condition and predict the result of grinding by neural network. Several discussions were made in following areas as; getting MRR with image processing, the architecture optimization of neural network with experiment design, analysis of the input neurons using sensitivity approach. The results showed that the developed approach was the best method in predicting grinding condition with respect to surface finish quality.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• 제35권5호
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• pp.349-356
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• 2017

In this study, we propose a method to investigate topographic characteristics by applying machine learning which is an artificial intelligence analysis method based on the spatial data constructed using UAV and the training data created through spatial analysis. This method provides an alternative to the subjective judgment and accuracy of spatial data, which is a problem of existing topographic characteristics survey for officially assessed land price. The analysis method of this study is expected to improve the problems of topographic characteristics survey method of existing field researchers and contribute to more accurate decision of officially assessed land price by providing more objective land survey method.

• Knowledge Management Research
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• 제15권4호
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• pp.35-56
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• 2014

This study examined the effect of perceived risk, an under-explored area in the knowledge sharing literature. We proposed that employee perceptions of risk relate positively with their knowledge sharing behaviors (donating and collecting), and examined the mediating role of impression management strategies in the hypothesized relationships. We also explored the moderating effect of leader-member exchange (LMX) in the relationship between perceived risk and impression management strategies. Valid and reliable self-report and supervisory evaluation measures were collected from a sample of 251 railroad employees in safety-sensitive positions. The results indicate that perceived risk was not significantly associated with knowledge sharing, but rather the risk perception impacts were indirect through impression management strategies such as exemplification and supplication. The study also found that LMX has no moderating effect on the perceived risk and impression management strategies. In discussing these results, we present significant insights in terms of subjective risk judgment as a potential mechanism which can encourage organizational politics.

• Proceedings of the Korea Society for Simulation Conference
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• 한국시뮬레이션학회 2001년도 The Seoul International Simulation Conference
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• pp.72-76
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• 2001

Experimental design in simulation provides an efficient way of economizing simulation runs since a considerable number of simulation runs that originally were planned can be reduced by this approach. This experimental design method is an active area of research together with the output analysis and so no single panacea seems to exist so far. Thus, selection of techniques of experimental design and output analysis more lithely depends upon the objective of simulation analysis, budget constraint and sometimes the analysts subjective judgment. This paper attempts to describe an experimental design methodology for port investment analysis using a case study in a bulk terminal in Korea. Detailed display will be focused on simulation period, warm-up period, the number of replications needed in production runs after brief explanation on the system configuration.