• Journal of Korean Library and Information Science Society
• /
• v.48 no.4
• /
• pp.21-47
• /
• 2017

This study aims to analyze features of topics about AI(Artificial Intelligence) which is gaining a massive attention these days. Newspaper articles published from 2016 to June, 2017 were selected to analyze key subjects. The reason why the period was selected is people started to get attention on AI since 2016 as AlphaGo came out and gave a shock. The number of coded main message was 1,210 in 525 newspaper articles in total. The messages were categorized as three subject categories: the seven major categories, 62 middle categories. and minor categories. The seven major categories contains issues such as AI research, AI application, AI business, AI era, AI argument, AlphaGo, and other topics. The first features of issues about AI found in the major subject categories is that they are various and complicate. Second, it is important that social and policy-level issues related AI, such as job losses, misuse, and error should be dealt with to utilize AI safely. Last, issues related the role of human and revolution of education system in the AI era were shown as subjects which are important but hard to discuss.

• The Journal of the Korea Contents Association
• /
• v.11 no.8
• /
• pp.221-230
• /
• 2011

The purpose of this study was to examine validity of the Korean-Child Behavior Checklist: K-CBCL) as measures for emotional and behavioral problems for use with children with autism spectrum disorders. In present study, the factor of the K-CBCL was investigated, using data of 248 children with autism spectrum disorders, with 11.17 mean ages. The two factor model of Internalizing problems (Withdrawn, Somatic Complaints, Anxious/Depressed) and Externalizing problems (Delinquent Behavior, Aggressive Behavior) was investigated by the confirmatory factor analysis. The two factor model of K-CBCL was adequate for children with autism spectrum disorders. The inter-item consistency for the sub-factor of K-CBCL demonstrated on adequate reliability of the measure. Although the inter-item consistency of Withdraw, Social problems, Delinquent Behavior was not acceptable, the inter-item consistency of Internalizing, Externalizing and total problems were good. This results supported validity and reliability and suggested that K-CBCL is used to assess for emotional and behavioral problems in children with autism spectrum disorders.

• Journal of the Korea Society of Computer and Information
• /
• v.5 no.3
• /
• pp.142-150
• /
• 2000

The Purpose of this study is to suggest usefulness of correlation analysis about categorical multivariate data to business administration and other social sciences. Some examples of their application are presented.

• The Journal of the Korea Contents Association
• /
• v.15 no.8
• /
• pp.588-597
• /
• 2015

This study is to distribute 5-year-old nuri curriculum science education contents in child picture books, and to investigate the categorical difference of science education contents between domestic and foreign picture books and among genres. The subjects were 219 picture books for children from 4 to 7, listed in which is published by Children's Book Study Group in 2012 and 2013. The research tool was from the article of 5-year-old nuri curriculum nature study, to analyze the contents of young children science education in the child picture books. Content analysis categories was set to two upper-categories and seven sub-categories. Research data were calculated in the analysis of the frequency and percentage of each item's category by the method of analysis conformity. In conclusion, first, in the analyzed result of the upper categories of young children science education contents in 219 picture books, the frequency appeared in order of 'Curious to maintain and expand', 'Learn living things and the natural environment', 'To explore the investigation technique', 'To enjoy the investigation technique', 'Utilize simple tools and machines', 'To search objects and materials', 'Learn natural phenomena'. Second, in the compared result between the domestic and foreign picture books and among genres, "scientific inquiry" is appeared more than "fostering an attitude of exploration".

• The Journal of the Korea Contents Association
• /
• v.20 no.7
• /
• pp.274-281
• /
• 2020

N-gram analysis casts a new look at the n-word cluster in use different from the previously known idioms. It analyzes a corpus of English textbooks for frequently occurring n consecutive words mechanically using a concordance software, which is different from the previously known idioms. The current paper aims at extracting and comparing 4-gram words clusters between South Korean high school English textbooks and its North Korean counterpart. The classification criteria includes number of tokens and types between the two across oral and written languages in the textbooks. The criteria also use the grammatical categories and functional categories to classify and compare the 4-gram words clusters. The grammatical categories include noun phrases, verb phrases, prepositional phrases, partial clauses and others. The functional categories include deictic function, text organizers, stance and others. The findings are: South Korean high school English textbook contains more tokens and types in both oral and written languages. Verb phrase and partial clause 4-grams are grammatically most frequently encountered categories across both South and North Korean high school English textbooks. Stance is most dominant functional category in both South and North Korean English textbooks.

• Annual Conference on Human and Language Technology
• /
• 1989.10a
• /
• pp.85-90
• /
• 1989

본고는 한국어의 양화사 유동 현상을 일반범주문법의 관점에서 통사론적, 의미론적으로 분석한다. '학생들이 넷이 술을 마셨다' 와 같은 문장에서 나타나는 유동 양화사는 통사론적으로 동사구수식어 (VP/VP)로 파악하고, 의미론적으로는 명사화된 속성이 관여하는 것으로 분석한다. 이 밖에도, 관련된 형태인 '넷' (NP/NP), '넷을' (TV/TV)등도 엄밀한 통사론적, 의미론적 분석을 시도한다. 성공적인 분석의 결과는 한국어 처리에 인접성 조건을 준수하는 범주문법의 사용가능성을 시사해 준다.

• Journal of Digital Convergence
• /
• v.10 no.11
• /
• pp.279-285
• /
• 2012

This study classified the categorization process of convergence products as a rule-based and a similarity-based categorization process. And we examined that how the categorization process was determined according to information types(visual vs. visual + verbal) about the components of two prototypes before convergence and thinking styles(holistic vs. analytic). The result of this study showed: (1) The rule-based categorization process appeared more in case of visual information with verbal information than only visual information. (2) Analytic thinkers chose a rule-based categorization process more than holistic thinkers. These findings provide the theoretical and practical implications to comprehend the categorization process of convergence products and the judgement for consideration set from various convergence products.

• Journal of the Korea Convergence Society
• /
• v.11 no.5
• /
• pp.153-158
• /
• 2020

The present study identify the predictive power of confrontational naming and generative naming as screening tests for normal and early cognitive impairment. The subjects were analyzed for 203 healthy elderly, 106 mild cognitive impairment (MCI), 31 mild dementia. The confrontational naming was measured by the short-term Korean Boston Name Waiting Test, and the generative naming was measured by the Control Associative Word Test. As a result of polynomial logistic regression, both confrontational naming and generative naming had a significant effect on discriminating cognitive impairment (MCI, mild dementia) in general elderly (p<0.05). On the other hand, when distinguishing mild dementia from mild cognitive impairment, the generative naming-phonetic test had no significant odds ratio. The results of this study suggest that when discriminating mild dementia in mild cognitive impairment group, it is not meaningful to look only at the total score of generative naming test.

• The Korean Journal of Applied Statistics
• /
• v.34 no.4
• /
• pp.599-609
• /
• 2021

Data with a large difference in the number of objects between clusters are called unbalanced data. In discriminant analysis of unbalanced data, it is more important to classify objects in minority categories than to classify objects in majority categories well. However, objects in minority categories are often misclassified into majority categories. In this study, we propose a method that combined hierarchical DBSCAN (HDBSCAN) and SMOTE to solve this problem. Using HDBSCAN, it removes noise in minority categories and majority categories. Then it applies SMOTE to create new data. Area under the roc curve (AUC) and F1 scores were used to compare performance with existing methods. As a result, in most cases, the method combining HDBSCAN and synthetic minority oversampling technique (SMOTE) showed a high performance index, and it was found to be an excellent method for classifying unbalanced data.

• Korean Journal of Cognitive Science
• /
• v.2 no.1
• /
• pp.73-86
• /
• 1990

This study aims to give a syntactic and semantic analysis of the phe- nomenon of Quantifier Floating in the framework of Generalixed Cate- gorial Grammar. Floated quantifiers like neys-i as in Hakayngtul-i neys-i swul-ul masyessta are syntactically analyxed as VP modifiers(VP/VP), and semantically as involving nominalixed properties. Related forms like neys(NP/NP) and neys-ul(TV-TV) are also given rigorous syntactic and semantic analysis. A successful anaysis sheds light on the possiblity of using Categorial Grammar, which is subject to adjacency principle, for the (computer) processing od Korean.