• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.191-193
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• 2023

정보통신기술이 발전함에 따라 미래 해양산업에는 첨단 ICT 기술을 중심으로 두고 패러다임이 변화하고 있다. 해양 선박 분야에서는 현 단계인 스마트 쉽(Smart Ship), 자율운항선박(MASS) 등 육상과 선박간의 통신기술이 필요한 시점에서 사이버 공격 위험으로부터 자유로울 수 없다. 선박 간의 사용자 인증은 선박의 보안을 강화하고 인가된 사용자 만이 선박 시스템에 접근하고 조작할 수 있도록 하는 중요한 요소이다. 보안 요구 사항과 해당 규정에 따라 설계되고 구현되어야 하며, 또한 중요한 측면은 인증 시스템의 안전성과 안정성을 유지하기 위해 주기적인 업데이트와 강화된 보안 대책을 시행하는 것이다. 본 논문에서는 선박 간의 사용자 인증기술에 대해서 알아보고 다양한 방법에 대하여 제안하였다.

• Korean Journal of Social Welfare
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• v.63 no.4
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• pp.277-299
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• 2011

The current study analyzed the tax structure in the welfare states. The appropriate tax structure of universal welfare state should be based on expanding all taxes, rather than choosing between direct and indirect, progressive and regressive, or mobile and immobile tax. The revenue for the universal welfare payment should be raised by levying tax on all people provided that the welfare payment is made available to all people. The analysis led to classification of tax structure into the high tax European model and the low tax English and East Asian model. The high tax European model was further classified into the balance tax model and the high social security model. The low tax English and East Asian model was classified into the low social security model and the high property tax model. Based on the results, the study maintained that the universal welfare states need not only to expand welfare resources but to develop tax system that corresponds to the universal welfare system.

• International Journal of Computer Science & Network Security
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• v.22 no.4
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• pp.111-118
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• 2022

This research article presents the work that is related to the application of different machine learning based similarity techniques on religious text for identifying similarities and differences among its various translations. The dataset includes 10 different English translations of verses (Arabic: Ayah) of two Surahs (chapters) namely, Al-Humazah and An-Nasr. The quantitative similarity values for different translations for the same verse were calculated by using the cosine similarity and semantic similarity. The corpus went through two series of experiments: before pre-processing and after pre-processing. In order to determine the performance of machine learning based similarities, human annotated similarities between translations of two Surahs (chapters) namely Al-Humazah and An-Nasr were recorded to construct the ground truth. The average difference between the human annotated similarity and the cosine similarity for Surah (chapter) Al-Humazah was found to be 1.38 per verse (ayah) per pair of translation. After pre-processing, the average difference increased to 2.24. Moreover, the average difference between human annotated similarity and semantic similarity for Surah (chapter) Al-Humazah was found to be 0.09 per verse (Ayah) per pair of translation. After pre-processing, it increased to 0.78. For the Surah (chapter) An-Nasr, before preprocessing, the average difference between human annotated similarity and cosine similarity was found to be 1.93 per verse (Ayah), per pair of translation. And. After pre-processing, the average difference further increased to 2.47. The average difference between the human annotated similarity and the semantic similarity for Surah An-Nasr before preprocessing was found to be 0.93 and after pre-processing, it was reduced to 0.87 per verse (ayah) per pair of translation. The results showed that as expected, the semantic similarity was proven to be better measurement indicator for calculation of the word meaning.

• International Journal of Computer Science & Network Security
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• v.22 no.11
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• pp.63-70
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• 2022

At the present stage, the main directions of the professional position of a specialist in the implementation of English-language Education are to improve and spread the practice of learning languages throughout a person's life by involving information, communication and digital technologies in the educational process. Computerization of the educational process in Higher Education Institutions is considered as one of the first and most promising areas for improving the quality of education in Higher Education Institutions. The necessity of ensuring timely training and retraining of specialists of various profiles (in particular teachers) on the effective use of domestic and foreign electronic resources with the help of modern information technologies for the implementation of the professional position of a future specialist in a foreign-language environment is noted. The main goal of teaching a foreign language (the formation of students' communicative competence, which means mastering the language as a means of intercultural communication) is defined. The types of speech activity that cover the content of teaching a foreign language are highlighted. The main types of assessment in a foreign language are shown - current (non-classroom), thematic, semester, annual assessment and final state certification. The task of the teacher is drawn, which is to create conditions for practical language acquisition for each student, to choose such teaching methods by means of information technologies that would allow each student to show their activity, their creativity; to activate the cognitive activity of the student in the process of learning a foreign language.

• International Journal of Computer Science & Network Security
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• v.22 no.11
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• pp.324-330
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• 2022

The United Kingdom is known for the quality of its qualifications. There is a strict quality system with reputable bodies responsible for ensuring that high quality standards are met. In order for new qualifications to be accredited, they must meet all the requirements set out in the regulations for the quality and informatization of Education. The crucial role of the Agency for Quality Assurance of Higher Education (QAA) in the UK for creating high-quality management of higher education institutions is revealed, the influence of informatization tools on its effective mechanism as an independent entity is shown, and positive experience for the educational sector is highlighted. While the universities themselves are responsible for reviewing educational programs at the subject level, the QAA review focuses on verifying internal quality assurance, as well as systems and improvement strategies. The QAA uses a peer review process in which teams mostly consist of academic staff from other institutions to assess the quality of the institution's education. In Scotland, the team also includes an international reviewer. The student is also a member of the Scottish teams. In the UK, attention is paid to providing a cohort of experienced reviewers who can conduct high-quality monitoring and help with advice on improving education. All reviewers must complete training and have permission to participate in the review of educational programs. There are selected committees that are members of the QAA council, each of which is headed by a member of the Council or an independent person approved by the Council. Attention is drawn to the main areas of the QAA's work in the framework of environmental, social and corporate governance.

• International Journal of Computer Science & Network Security
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• v.24 no.2
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• pp.101-112
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• 2024

Telugu language is considered as fourth most used language in India especially in the regions of Andhra Pradesh, Telangana, Karnataka etc. In international recognized countries also, Telugu is widely growing spoken language. This language comprises of different dependent and independent vowels, consonants and digits. In this aspect, the enhancement of Telugu Handwritten Character Recognition (HCR) has not been propagated. HCR is a neural network technique of converting a documented image to edited text one which can be used for many other applications. This reduces time and effort without starting over from the beginning every time. In this work, a Unicode based Handwritten Character Recognition(U-HCR) is developed for translating the handwritten Telugu characters into English language. With the use of Centre of Gravity (CG) in our model we can easily divide a compound character into individual character with the help of Unicode values. For training this model, we have used both online and offline Telugu character datasets. To extract the features in the scanned image we used convolutional neural network along with Machine Learning classifiers like Random Forest and Support Vector Machine. Stochastic Gradient Descent (SGD), Root Mean Square Propagation (RMS-P) and Adaptative Moment Estimation (ADAM)optimizers are used in this work to enhance the performance of U-HCR and to reduce the loss function value. This loss value reduction can be possible with optimizers by using CNN. In both online and offline datasets, proposed model showed promising results by maintaining the accuracies with 90.28% for SGD, 96.97% for RMS-P and 93.57% for ADAM respectively.

• Convergence Security Journal
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• v.22 no.5
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• pp.61-67
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• 2022

The purpose of this study is to analyze research trends in artificial intelligence. For a three-dimensional analysis, an attempt was made to objectively compare and present the difference between the research direction of artificial intelligence in social science and engineering. For the research method, topic modeling was used among the big data analysis methodologies, and 1000 English papers searched with the keyword artificial intelligence (AI) in the academic research information system were used for the analysis data. As a result of the analysis, in the field of social science, it was possible to identify groups formed around the keywords of 'human', 'impact', and 'future' for artificial intelligence, and in the field of engineering, 'artificial intelligence-based technology development', 'system', 'Groups such as 'Risk-Security' were formed.

• English & American cultural studies
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• v.17 no.1
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• pp.1-25
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• 2017

This essay investigates how the industrialization of the US food system was closely linked to US foreign policy, gender issues, and the rise of consumerism in the Cold War era. While many scholars in American studies and women's studies over the past few decades have paid increasing attention to the interrelationship of gender politics and the media industry in shaping US domesticity, they have seldom studied how and why reading gender issues in relation to environmental discourse in general and the industrialized US food system in particular can help us better understand the complex relationship between environmental and social problems that we are facing today, both collectively and individually. In this context, this essay shows how US national politics have not only created the ideal of American domesticity that promotes traditional gender roles and consumerism at the expense of gender equality, but also negatively affected women's somatic and mental health writ large. By closely examining the cultural implications of Nixon's and Khrushchev's Kitchen Debate in the 1950s alongside newspapers, photographs, advertisements, and Sylvia Plath's The Bell Jar (1963), I argue that reading Cold War consumer culture in relation to the US food system leads readers to see the invisible links between gender politics and today's environmental and social problems in comparative and global contexts.

• Journal of English Language & Literature
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• v.55 no.6
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• pp.961-973
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• 2009

Walter Benjamin expresses his concern that the new technologies of mechanical reproduction robs the artwork of its own uniqueness, its "aura." Benjamin uses the word "aura" to refer to the sense of awe or reverence one presumably experiences in the presence of works of art. This aura does not merely inhere in the works of art themselves, because Benjamin extends his notion of aura to the level of how he both understands and positions the modern subject in the world of uncertainty and transitoriness. The theoretical framework of Benjaminian aura becomes a crucial and efficient strategic apparatus to read The Education of Henry Adams. As for Benjamin the modern implies a sense of alienation, a historical discontinuity, and a decisive break with tradition, Adams observes that modern civilization has wiped out "tradition," a mythic home in which man can experience order and unity. Adams claims that the growth of science, reason, and multiplicity at the expense of religion, feeling, and unity has been accompanied by a parallel growth in individualism at the expense of community and tradition. To Adams the collapse of traditional values such as maternity, fecundity, and security in America is a waking nightmare of the moral dilemmas of a capitalist society, in which the cruel force of the modern Dynamo is becoming a prime governing principle.

• Journal of English Language & Literature
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• v.58 no.4
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• pp.679-700
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• 2012

This study aims to examine Mark Twain's criticism of American capitalistic ideals in the late nineteenth century. During this second industrial revolution, industry showed rapid growth and capitalism established an order, while America suffered under the monopolization of capitalistic conglomerates. This resulted in the widening gap between the rich and the poor and the dehumanization caused by rapid industrialization. In A Connecticut Yankee in King Arthur's Court, Hank Morgan, the protagonist--who represents nineteenth-century America's industrialism, individualism, and capitalism--is sent back in time to the sixth century of Arthurian England. Hank attempts to introduce nineteenth-century technologies and machines to build a capitalistic system in the middle ages. However, Hank's efforts lead to disaster in which the country and civilization he worked to build is completely destroyed. Although Twain does not deny capitalistic ideals, he criticizes the "governmentality" that operates Hank's reform system to the extreme. Hank values efficiency and utilizes human beings as capital. Hank's economic reason not only transforms the Round-Table knights into speculators but also transforms their religious acts and abstract ideals into moneymaking businesses. The destructive ending anticipates the World Wars and the Great Depression in the first half of twentieth century and even serves to predict the dangers that follow.