• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.5
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• pp.1611-1633
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• 2022

At EUROCRYPT 2019, a new block cipher algorithm called BISON was proposed by Canteaut et al. which uses a novel structure named as Whitened Swap-Or-Not (WSN). Unlike the traditional wide trail strategy, the differential and linear properties of this algorithm can be easily determined. However, the encryption speed of the BISON algorithm is quite low due to a large number of iterative rounds needed to ensure certain security margins. Commonly, denoting by n is the data block length, this design requires 3n encryption rounds. Moreover, the block size n of BISON is always odd, which is not convenient for operations performed on a byte level. In order to overcome these issues, we propose a new block cipher, named DBISON, which more efficiently employs the ideas of double layers typical to the BISON-like construction. More precisely, DBISON divides the input into two parts of size n/2 bits and performs the round computations in parallel, which leads to an increased encryption speed. In particular, the data block length n of DBISON can be even, which gives certain additional implementation benefits over BISON. Furthermore, the resistance of DBISON against differential and linear attacks is also investigated. It is shown the maximal differential probability (MDP) is 1/2^n-1 for n encryption rounds and that the maximal linear probability (MLP) is strictly less than 1/2^n-1 when (n/2+3) iterative encryption rounds are used. These estimates are very close to the ideal values when n is close to 256.

• Korean Journal of Cognitive Science
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• v.34 no.3
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• pp.197-226
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• 2023

Generative Text Summarization is one of the Natural Language Processing tasks. It generates a short abbreviated summary while preserving the content of the long text. ROUGE is a widely used lexical-overlap based metric for text summarization models in generative summarization benchmarks. Although it shows very high performance, the studies report that 30% of the generated summary and the text are still inconsistent. This paper proposes a methodology for evaluating the performance of the summary model without using the correct summary. AggreFACT is a human-annotated dataset that classifies the types of errors in neural text summarization models. Among all the test candidates, the two cases, generation summary, and when errors occurred throughout the summary showed the highest correlation results. We observed that the proposed evaluation score showed a high correlation with models finetuned with BART and PEGASUS, which is pretrained with a large-scale Transformer structure.

• Journal of dental hygiene science
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• v.23 no.4
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• pp.302-311
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• 2023

Background: Oral health is an important element of well aging. And oral health also affects overall health, mental health, and quality of life. In this study, we sought to identify oral health influencing factors and research trends for well-aging through text analysis of research on well-aging and oral health over the past 12 years. Methods: The research data was analyzed based on English literature published in PubMed from 2012 to 2023. Aging well and oral health were used as search terms, and 115 final papers were selected. Network text analysis included keyword frequency analysis, centrality analysis, and cohesion structure analysis using the Net-Miner 4.0 program. Results: Excluding general characteristics, the most frequent keywords in 115 articles, 520 keywords (Mesh terms) were psychology, dental prosthesis and Alzheimer's disease, Dental caries, cognition, cognitive dysfunction, and bacteria. Research keywords with high degree centrality were Dental caries (0.864), Quality of life (0.833), Tooth loss (0.818), Health status (0.727), and Life expectancy (0.712). As a result of community analysis, it consisted of 4 groups. Group 1 consisted of chewing and nutrition, Group 2 consisted oral diseases, systemic diseases and management, Group 3 consisted oral health and mental health, Group 4 consisted oral frailty symptoms and quality of life. Conclusion: In an aging society, oral dysfunction affects mental health and quality of life. Preventing oral diseases for well-aging can have a positive impact on mental health and quality of life. Therefore, efforts are needed to prevent oral frailty in a super-aging society by developing and educating systematic oral care programs for each life cycle.

• Journal of Korean Elementary Science Education
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• v.43 no.2
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• pp.322-336
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• 2024

This study explored the educational effects of using ChatGPT in science lessons for elementary school students. The participants included 25 sixth-grade students studying at an elementary school in Metropolitan City D. This study examined the impacts of elementary science lessons on the cognitive development of elementary school students and their perceptions of using ChatGPT in their science classes. We found that science lessons that used ChatGPT aided the cognitive development of the participating elementary students. These students responded positively to the classes using ChatGPT. The results were then divided into those who perceived ChatGPT positively, those who perceived it negatively, and those who recognized both positive and negative aspects. Students who perceived it negatively mainly remained at the memorization level, and those who recognized both positive and negative aspects posed higher-level questions to ChatGPT.

• Journal of Educational Research in Mathematics
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• v.26 no.4
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• pp.635-662
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• 2016

Combinatorics, the basis of probabilistic thinking, is an important area of mathematics and closely linked with other subjects such as informatics and STEAM areas. But combinatorics is one of the most difficult units in school mathematics for leaning and teaching. This study, using the designed combinatorial models and executable expression, aims to analyzes the eye movement of graduate students when they translate the written combinatorial problems to the corresponding executable expression, and examines not only the understanding process of the written combinatorial sentences but also the degree of difficulties depending on the combinatorial semantic structures. The result of the study shows that there are two types of solving process the participants take when they solve the problems : one is to choose the right executable expression by comparing the sentence and the executable expression frequently. The other approach is to find the corresponding executable expression after they derive the suitable mental model by translating the combinatorial sentence. We found the cognitive processing patterns of the participants how they pay attention to words and numbers related to the essential informations hidden in the sentence. Also we found that the student's eyes rest upon the essential combinatorial sentences and executable expressions longer and they perform the complicated cognitive handling process such as comparing the written sentence with executable expressions when they try the problems whose meaning structure is rarely used in the school mathematics. The data of eye movement provide meaningful information for analyzing the cognitive process related to the solving process of the participants.

• Korean Journal of Cognitive Science
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• v.24 no.3
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• pp.237-270
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• 2013

Determinism and compatibilism have thought that libertarianism contradicts the scientific view. This paper demonstrates that the hypothesis that free will exists does not cause any problems and contradictions, while maintaining pro-scientific view. Rather, determinism lacks scientific and demonstrative bases. At first, I reject dualistic self by assuming identity theory of the self and physical body & brain. Free will is a functional concept or property that can have multiple realization. Therefore we can recognize whether aliens or robots have free will through observation on their acts. 'Free will' is a functional kinds term like 'digestion'. As we know we have digestive function, we can know that we have free will even before knowing the necessity of its existence by understanding micro structure of human free will. The judgement that an individual has free will function depends on whether it has particular actions. Those actions are controlling and restraining actions in context, predicting future, making elaborate conditional sentences, etc. Real being of free will is the physical occupant of the function that makes those actions. Determinism is based on various kinds of misconceptions and misunderstandings. Determinists often confuse necessity of physical law and determinism. Another decisive misunderstanding is that free will postulates same conditions and different results from the same point of time. However, free will postulates that the two points of time are different. Because determinism is unnecessary redundant hypothesis influenced by religions, according to Ockham's Razor, determinism should be eliminated.

• Journal of Intelligence and Information Systems
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• v.17 no.1
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• pp.17-35
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• 2011

The collective intelligence is a common-based production by the collaboration and competition of many peer individuals. In other words, it is the aggregation of individual intelligence to lead the wisdom of crowd. Recently, the utilization of the collective intelligence has become one of the emerging research areas, since it has been adopted as an important principle of web 2.0 to aim openness, sharing and participation. This paper introduces an approach to seek the collective intelligence by cognition of the relation and interaction among individual participants. It describes a methodology well-suited to evaluate individual intelligence in information retrieval and classification as an application field. The research investigates how to derive and represent such cognitive intelligence from individuals through the application of fuzzy relational theory to personal construct theory and knowledge grid technique. Crucial to this research is to implement formally and process interpretatively the cognitive knowledge of participants who makes the mutual relation and social interaction. What is needed is a technique to analyze cognitive intelligence structure in the form of Hasse diagram, which is an instantiation of this perceptive intelligence of human beings. The search for the collective intelligence requires a theory of similarity to deal with underlying problems; clustering of social subgroups of individuals through identification of individual intelligence and commonality among intelligence and then elicitation of collective intelligence to aggregate the congruence or sharing of all the participants of the entire group. Unlike standard approaches to similarity based on statistical techniques, the method presented employs a theory of fuzzy relational products with the related computational procedures to cover issues of similarity and dissimilarity.

• Journal of Labour Economics
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• v.30 no.3
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• pp.1-41
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• 2007

Since Korea experienced a 'jobless growth' in 2003, creating jobs in the service sector has been considered as a top priority employment agenda. However, despite high employment outcomes in services, labor productivity remains stagnant in the service sector in recent years. A great deal of concern has been raised regarding newly created service jobs. Critics say low productivity in the service sector will harm the engine of economic growth in our country. This paper investigates the side of the demand for quality of labor, namely, the demand for skills as one of the main source of low productivity in the service sector. To analyze the changes of skills demand, this paper suggests the concept of job-based skills instead of worker-based skills and presents the way of constructing measures of job-based skills. By means of common factor analysis using job information in the Korean Dictionary of Occupational Titles, I extract 4 direct measures of job-based skills, such as cognitive skills, physical skills, fine skills, interactive skills. These skill measures are used to explore and to test how the skill structure changed in the service sector during 2002-2006. Empirical Results show that whereas the goods sector makes progress toward upskilling being represented by increased cognitive elements and softenization of tasks, the service sector, although high-educated workers increased, exhibits trends of deskilling in the sense of job-based skills during 2002-2006 in Korea. The trend of deskilling however does not seem a general aspect in the overall service sector. Rather, it seems a compound process that high-skilled jobs are created, but, on the other hand low-skilled jobs requiring physical labor are produced at the same time.

• Journal of Information Technology Applications and Management
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• v.20 no.4
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• pp.315-338
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• 2013

As a result of New media that affects the marketing system, it is appeared a new marketing system called Market Platform in terms of market governance of trading. Market Platform is a new marketing system for ideal market system through the community structure from a hierarchy structure. It is determined that Market Platform as the role of adjustment of each side of market, buyer and seller, developed an existing marketing system. In this study, to target the Market Platform has recently emerged as the center of the market management in the new media environment. This study investigates what characteristics and impact of infrastructure of Market Platform will affect the cognitive impact on both buyers and sellers to clarify the impact on the self efficacy of the shopping process. Through this investigation, modeling for the impact that new media environment will attract Market Platform will be developed from the investigation of attractiveness of mobile market platform environment. Changes in the technical media environment gave the characteristics of the customer in the market platform, so consumers could involve not only consumed, but also manufactured. Thus, it is possible to increase the attractiveness if market must be able to not only for the convenience of shopping, but also make people to enjoy the experience of value co-creation. In other words, the new media, as a result of affecting the marketing system, mobile market platform is organized around the market of communication base. Network centrality, visible openness, ubiquitous multiplexity, 3 properties of new media increase the market self-efficacy of their customers. Therefore, the structure of market platform that enhance self-efficacy has higher attractiveness.

• Anxiety and mood
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• v.7 no.1
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• pp.16-21
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• 2011

Objective : Depressive symptoms often coexist with other anxiety disorder symptoms. Furthermore, an anxiety disorder that is comorbid with a depressive disorder results in more severe symptoms and a poorer outcome prognosis. To understand the construct of depressive symptoms in anxiety disorder, this study investigated the factor structure of the Beck Depression Inventory among outpatients with anxiety disorders. Methods : All data were from psychiatric department outpatients at a university-affiliated hospital. We conducted a principal component analysis using data from 194 outpatients with DSM-IV anxiety disorders and calculated goodness-of-fit-indices. Results : Exploratory factor analysis revealed a four factor structure--Cognitive-affective symptoms (Factor 1), Somatic symptoms (Factor 2), Self-reproach (Factor 3), and Hypochondriasis/indecisiveness (Factor 4)--and a 57% total variance. This four-factor model demonstrated an acceptable level of model fit, and it fit better than did a three-factor solution from the literature on depressive disorder. Conclusion : This study's results suggest a difference in the construct of self-reported depressive symptoms in anxiety disorders. These findings also support a dimensional approach to studying anxiety and depression. Further studies may benefit from including comorbid depressive disorder and its influence on anxiety disorders.