• Journal of Korean Philosophical Society
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• 제147권
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• pp.1-28
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• 2018

In order to reveal the differentiation of Nietzsche's justice theory, this paper attempted an intrinsic analysis of the political act of establishing a social contract with others through the fundamental concept of "will to the power", and the politics of modern nation including utilitarianism, liberalism and democracy. I will deal with criticism of ideology. In other words, it will be a work to clarify the fictitiousness and errors by digging out the ground of the value of justice as 'genealogical psychology' which strips off the psychological layers hidden behind the name of universal truth called 'virtue'. By dismantling the notion of self-righteous justice based on 'virtue' from 'immorality' as well as 'out of morality', it aims to reveal a new emotional dimension based on love, not retaliation. When Nietzsche emphasizes the role of positive emotions such as 'mercy' and 'forgiveness' rather than negative emotions such as revenge, retaliation, and grudge, while analyzing justice in the dynamics of power relations, By allowing exception rule, we will critically analyze whether universality and consistency are lost.

• Proceedings of the Korea Water Resources Association Conference
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• 한국수자원학회 2017년도 학술발표회
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• pp.114-114
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• 2017

하천의 유사량 자료는 하상변동 예측, 저수지 퇴사량 추정, 유사조절 계획 수립 등 유역과 하천관리 그리고 하천 시설물 관리를 위해 필요하다. 최근 4대강 사업구간에 대한 담수용 보로 유입되는 유사량과 하천 유사의 종횡단적 분포와 하상변동량 등의 산정에 기초자료로 활용하고자 유사량 관측망이 구축되어 있다. 본 연구에서는 하천 유사량에 영향을 미치는 유역특성인자에 대한 군집분석을 통해 유사 발생 유역을 분류하고자 한다. 체계화된 유량 및 유사량 측정 방법에 의해 신뢰할만한 유량-총유사량 관계식을 갖는 유량조사사업단의 35개 유역을 대상으로 한다. 유역 군집분석을 수행하고자 유역과 하천에 대한 지형인자, 토양인자, 토지이용 등의 유역특성 매개변수 자료를 수집하였고, 매개변수별 유사도거리 산정에 오류를 줄이기 위해 매개변수를 무차원화 하였다. 유역의 비유사량은 유역면적, 유역경사, 토성, 토지이용 등에 영향을 받았다. K-means 기법에 의해 군집분석을 수행한 결과 유사량 측정 유역은 A, B, C, D 4개의 그룹으로 분류되었다. B그룹 유역은 첨두홍수량이 크고 발생시간이 짧은 유역 및 하천 조건을 가지고 있었으며, 직접유출이 증가하는 지표조건과 침식이 활발한 토양조건을 갖는 것으로 파악되었다. 그룹별로 실측 비유사량을 검토한 결과 B그룹에 포함된 유역의 유사량이 다른 유역에 비해 상대적으로 크게 발생하였다. 이러한 결과는 유역특성 매개변수의 군집분석을 통한 유역의 군집분류가 유역과 하천의 유사관리 측면에서 유용한 관리방안으로 활용될 수 있음을 의미한다.

• Journal of the Korean Data Analysis Society
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• 제20권6호
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• pp.2853-2864
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• 2018

Discriminant analysis predicts a class label of a new observation with an unknown label, using information from the existing labeled data. Hence, observed labels play a critical role in the analysis and we usually assume that these labels are correct. If the observed label contains an error, the data has label noise. Label noise can frequently occur in real data, which would affect classification performance. In order to resolve this, a comparative study was carried out using simulated data with label noise. In particular, we considered 4 different classification techniques such as LDA (linear discriminant analysis classifiers), QDA (quadratic discriminant analysis classifiers), KNN (k-nearest neighbour), and SVM (support vector machine). Then we evaluated each method via average accuracy using generated data from various scenarios. The effect of label noise was investigated through its occurrence rate and type (noise location). We confirmed that the label noise is a significant factor influencing the classification performance.

• Journal of the Korea Society of Computer and Information
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• 제26권9호
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• pp.105-114
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• 2021

ESICD(Electrical Signal Interface Control Document) refers to a document that describes protocols and data for communication between components consist of a system. Each component developer gathers at a specific place to conduct an integrated test for ESICD verification. In this case, it often happens that the integration test is delayed due to a simple mistake of software developers. There are two reasons for this situation: First, software developers do not perform sufficient verification because it is difficult to configure the system environment in a Lab, and second, they do not immediately find the cause of errors occurred during integration tests. Therefore, in this paper, we propose a strategy to effectively perform ESICD verification, which takes a lot of time between the production and implementation stage of the weapon system development stage and the system integration test stage.

• Journal of the Korea Convergence Society
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• 제12권3호
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• pp.53-59
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• 2021

When using Medical Information Retrieval services, a typical retrieval method is to use the Anatomic Therapyutic Chemical Classification (ATC) code. Traditional ATC code-based medical information retrieval is very useful for single ingredient product retrieval with single ingredient. However, in the case of complex, retrieval errors often occur. The cause of this problem is that ATC code-based retrieval proceeds by pattern matching ATC code.In this work, we design the mapping scheme based on ATC code by analyzing the requirement scenarios for retrieval based on main ingredient in ATC code-based retrieval. the mapping scheme based on ATC is a schema that stores the ATC code of the complex and all the ATC code of the single agent included in the complex. ATC code-based retrieval using this schema retrieves a complex as ingredient of a single ingredient product, thus having higher accuracy than existing methods. the mapping scheme based on ATC is expected to increase the efficiency of doctors' prescription of patients and increase the accuracy of drug safety use services.

• The Journal of Korean Philosophical History
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• 제57호
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• pp.151-181
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• 2018

This thesis is composed mainly of Wang Pang王?'s Nan Hua Zhen Jing Xin Zhuan南華眞經新傳 interpretation. I have focused on four chapter of Wang Pang王?'s Nan Hua Zhen Jing Xin Zhuan南華眞經新傳. The four chapters are just Xioa Yao You逍遙遊 and Qi Wu Lun齊物論 and Yang Sheng Zhu養生主 and Ren Jian Shi人間世. In the first chapter, I pointed out the errors and ambiguous topic setting of Japanese research papers. As a result of reading and analyzing these chapters, I have come to the conclusion that it is a fusion of Zhuang Zhi莊子 reading. This is the content of the second chapter. And in the third chapter, I pointed out that his the interpretation of Ideal personality in Zhuang Zhi is not a spiritual being but the supreme power of reality. As above, he interpreted the Zhuang Zhi from a mixed viewpoint and attempted to read the Zhuang Zhi again from a Confucian point of view.

• Journal of Korea Multimedia Society
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• 제25권3호
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• pp.493-501
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• 2022

This paper is a study on context-sensitive spelling error correction and uses the Korean WordNet (KorLex)[1] that defines the relationship between words as a graph to improve the performance of the correction[2] based on the vector information of the word embedded in the correction technique. The Korean WordNet replaced WordNet[3] developed at Princeton University in the United States and was additionally constructed for Korean. In order to learn a semantic network in graph form or to use it for learned vector information, it is necessary to transform it into a vector form by embedding learning. For transformation, we list the nodes (limited number) in a line format like a sentence in a graph in the form of a network before the training input. One of the learning techniques that use this strategy is Deepwalk[4]. DeepWalk is used to learn graphs between words in the Korean WordNet. The graph embedding information is used in concatenation with the word vector information of the learned language model for correction, and the final correction word is determined by the cosine distance value between the vectors. In this paper, In order to test whether the information of graph embedding affects the improvement of the performance of context- sensitive spelling error correction, a confused word pair was constructed and tested from the perspective of Word Sense Disambiguation(WSD). In the experimental results, the average correction performance of all confused word pairs was improved by 2.24% compared to the baseline correction performance.

• The Journal of the Convergence on Culture Technology
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• 제7권2호
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• pp.191-197
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• 2021

This study purports to explore potential determinants of welfare attitudes toward universalism vs selectivism. For this purpose, literature review upon such subjects as definitions of universalism and selectivism and welfare attitudes has been done. The hierarchical regression analyses show several major results. First and foremost, the effects of those variables such as political orientation and attitudes toward free education and gratuitous child care, categorized as political-social stance were found to be significant. However, it was unexpected results that those variables which have been found signigicant in predicting welfare attitudes in previous literature, that is to say age, education and economic status especially were not to be found significant in predicting welfare attitudes toward universalism vs selectivism. There could be many underlying causes for this result including measurement errors, and this study strongly speculates that the division between universalism vs selectivism itself exists only both in purely conceptual level and in political rhetoric and therefore, universalism or selectivism as people's consistent and logical attitudes or consciousness may simply not exist at all.

• Journal of the Korean Institute of Electrical and Electronic Material Engineers
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• 제36권3호
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• pp.241-248
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• 2023

The value of experimentally obtained data becomes highest when they are properly analyzed based on valid logics. Many physical and chemical properties such as electrical and magnetic properties, chemical reaction rates, etc. are known to be thermally activated; thus, a proper understanding of thermally-activated processes is of importance. However, there are still a number of papers published with falsely analyzed data. In this contribution, we would like to revisit the meaning of thermally-activated processes, and then reanalyze a data set published misinterpreted. By showing a step-by-step procedure for the reanalysis, we would like to help researchers who may come across such data in the future not to make mistakes in their analysis.

• Journal of Advanced Navigation Technology
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• 제26권6호
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• pp.528-535
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• 2022

Although the domestic aviation industry has made rapid progress with the development of aircraft manufacturing and transportation technologies, aviation safety accidents continue to occur. The supervisory agency classifies hazards and risks based on risk-based aviation safety data, identifies safety trends for each air transportation operator, and conducts pre-inspections to prevent event and accidents. However, the human classification of data described in natural language format results in different results depending on knowledge, experience, and propensity, and it takes a considerable amount of time to understand and classify the meaning of the content. Therefore, in this journal, the fine-tuned KoBERT model was machine-learned over 5,000 data to predict the classification value of new data, showing 79.2% accuracy. In addition, some of the same result prediction and failed data for similar events were errors caused by human.