• KIPS Transactions on Software and Data Engineering
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• v.3 no.8
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• pp.315-320
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• 2014

Composition is a creative activity of a composer in order to express his or her emotion into melody based on their experience. However, it is very hard to implement an automatic composition program whose composition process is the same as the composer. On the basis that the creative activity is possible from the imitation we propose a method to implement an automatic composition system using the learning capability of ANN(Artificial Neural Networks). First, we devise a method to convert a melody into time series that ANN can train and then another method to learn the repeated melody with melody bar for correct training of ANN. After training of the time series to ANN, we feed a new time series into the ANN, then the ANN produces a full new time series which is converted a new melody. But post processing is necessary because the produced melody does not fit to the tempo and harmony of music theory. In this paper, we applied a tempo post processing using tempo post processing program, but the harmony post processing is done by human because it is difficult to implement. We will realize the harmony post processing program as a further work.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.4
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• pp.179-188
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• 2023

Recently, fake news disguises the form of news content and appears whenever important events occur, causing social confusion. Accordingly, artificial intelligence technology is used as a research to detect fake news. Fake news detection approaches such as automatically recognizing and blocking fake news through natural language processing or detecting social media influencer accounts that spread false information by combining with network causal inference could be implemented through deep learning. However, fake news detection is classified as a difficult problem to solve among many natural language processing fields. Due to the variety of forms and expressions of fake news, the difficulty of feature extraction is high, and there are various limitations, such as that one feature may have different meanings depending on the category to which the news belongs. In this paper, emotional change patterns are presented as an additional identification criterion for detecting fake news. We propose a model with improved performance by applying a convolutional neural network to a fake news data set to perform analysis based on content characteristics and additionally analyze emotional change patterns. Sentimental polarity is calculated for the sentences constituting the news and the result value dependent on the sentence order can be obtained by applying long-term and short-term memory. This is defined as a pattern of emotional change and combined with the content characteristics of news to be used as an independent variable in the proposed model for fake news detection. We train the proposed model and comparison model by deep learning and conduct an experiment using a fake news data set to confirm that emotion change patterns can improve fake news detection performance.

• Journal of Intelligence and Information Systems
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• v.24 no.3
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• pp.199-219
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• 2018

With the everyday use of the Internet and the spread of various smart devices, users have been able to communicate in real time and the existing communication style has changed. Due to the change of the information subject by the Internet, data became more massive and caused the very large information called big data. These Big Data are seen as a new opportunity to understand social issues. In particular, text mining explores patterns using unstructured text data to find meaningful information. Since text data exists in various places such as newspaper, book, and web, the amount of data is very diverse and large, so it is suitable for understanding social reality. In recent years, there has been an increasing number of attempts to analyze texts from web such as SNS and blogs where the public can communicate freely. It is recognized as a useful method to grasp public opinion immediately so it can be used for political, social and cultural issue research. Text mining has received much attention in order to investigate the public's reputation for candidates, and to predict the voting rate instead of the polling. This is because many people question the credibility of the survey. Also, People tend to refuse or reveal their real intention when they are asked to respond to the poll. This study collected comments from the largest Internet portal site in Korea and conducted research on the 19th Korean presidential election in 2017. We collected 226,447 comments from April 29, 2017 to May 7, 2017, which includes the prohibition period of public opinion polls just prior to the presidential election day. We analyzed frequencies, associative emotional words, topic emotions, and candidate voting rates. By frequency analysis, we identified the words that are the most important issues per day. Particularly, according to the result of the presidential debate, it was seen that the candidate who became an issue was located at the top of the frequency analysis. By the analysis of associative emotional words, we were able to identify issues most relevant to each candidate. The topic emotion analysis was used to identify each candidate's topic and to express the emotions of the public on the topics. Finally, we estimated the voting rate by combining the volume of comments and sentiment score. By doing above, we explored the issues for each candidate and predicted the voting rate. The analysis showed that news comments is an effective tool for tracking the issue of presidential candidates and for predicting the voting rate. Particularly, this study showed issues per day and quantitative index for sentiment. Also it predicted voting rate for each candidate and precisely matched the ranking of the top five candidates. Each candidate will be able to objectively grasp public opinion and reflect it to the election strategy. Candidates can use positive issues more actively on election strategies, and try to correct negative issues. Particularly, candidates should be aware that they can get severe damage to their reputation if they face a moral problem. Voters can objectively look at issues and public opinion about each candidate and make more informed decisions when voting. If they refer to the results of this study before voting, they will be able to see the opinions of the public from the Big Data, and vote for a candidate with a more objective perspective. If the candidates have a campaign with reference to Big Data Analysis, the public will be more active on the web, recognizing that their wants are being reflected. The way of expressing their political views can be done in various web places. This can contribute to the act of political participation by the people.

• Science of Emotion and Sensibility
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• v.12 no.1
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• pp.11-18
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• 2009

The purpose of this study was, first, to extract the risk factor by investigating several cases of accident of senile dementia patient at home, and second, based on these results to provide basic information for the determination of monitoring factor for the care of senile dementia patient. Basic and behavioral characteristics, Short form of Samsung Dementia Questionnaire (S-SDQ), Activities of Daily Living (ADL), and cases of accident were investigated with 55 senile dementia patient at home (16 male, 39 female). Based on these questionnaires, risk factors were extracted and frequency, cooccurrence frequency, and occurring place of risk factors, presence or not, region, and degree of injury were investigated. Frequency between risk factors and behavioral characteristics, ADL, and S-SDQ was analyzed by crosstabulation frequency analysis. Results showed that 12 risk factors were extracted, and the frequency of 'going out' was the highest, and risk factors for injury were 'tumble', 'bump', 'slip', and 'fall'. Cooccurrence frequency analysis showed that the occurrence of 'fall', 'going out', 'fire of gas', and 'violence' with other factors was relatively higher than others. The occurring place of risk factor was the highest in home neighborhood, and the region of injury in knee, and the degree of injury with bruise. Crosstabulation frequency analysis showed that factors which had difference in frequency of risk factor were behavioral disorder, disorder of daily living and ADL. Factor which had difference in frequency due to the degree of behavioral disorder and disorder of daily living was 'going out', and factors which had difference in frequency due to the degree of ADL were 'slip' and 'fire of gas'.

• 한국노년학
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• v.30 no.4
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• pp.1429-1444
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• 2010

The purpose of this study was to examine the impact of elderly people's difficulties in emotional regulation on their quality of life and to suggest possible ways of improving their emotional regulation. The subjects in this study were 345 senior citizens who participated in community education programs and used senior centers. A survey was conducted in person, and the instrument used to check their difficulties in emotional regulation was Gratz & Roemer(2004)'s inventory that was rearranged to serve the purpose of this study. When a factor analysis was carried out, their emotional regulation difficulties were categorized into five factors, which were respectively named troubles in emotional response handling, difficulties in accurate emotional awareness, difficulties in emotional coping, and difficulties in emotional reception. The findings of the study were as follows: First, the senior citizens were different from one another in emotional regulation difficulties according to their personal characteristics involving gender, income, financial state, hospitalization experience over the past three months, and presence or absence of disease. Second, their quality of life significantly varied with gender, age, presence or absence of spouse, form of residence, education, income, financial state, hospitalization experience and presence or absence of disease. Third, as a result of investigating the influence of their emotional regulation difficulties on the overall quality of life, a better quality of life was found among those who were male and who had an income and suffered from fewer diseases. And a lower quality of life was found among the senior citizens who faced difficulties in emotional response handling, who had difficulties in emotional control and who lagged behind in terms of emotional coping. Accordingly, the emotional regulation difficulties of the senior citizens could be said to be closely linked to their quality of life. Given the findings of the study, in which way elderly people could be helped to improve their emotional regulation in consideration of their own personal characteristics was discussed, and how to classify their emotional regulation difficulties from various angles to relieve them of the troubles was suggested.

• Science of Emotion and Sensibility
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• v.9 no.1
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• pp.49-61
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• 2006

The present mobile phone industry has significant effect on the domestic economy and has taken root as the core item that has the responsibility to lead the Korean economy for a considerable period of time. As the mobile phone market becomes gigantic, the mobile phone is being used by people in broader age bracket, and functions or designs preferred by people of various age are getting more diverse. Like that, as the mobile phone has greater effect on and meaning in our daily lives, consumers of mobile phone have growing expectation of the mobile phone Now, the core function of voice communication via the mobile phone is not a great concern to consumers. But the function, such as more convenient and friendly information input and output, processing and storage, and the design, which is more sophisticated and optimized for the user environment, are being demanded, not just the simple voice communication. And as the modern design is getting more similar to the objects of traditional high art consumed by consumers every day, the aesthetic aspect of design can play an important role, as the factor that differentiates the product, in creating new value which forms the spiritual and emotional value of human beings to improve the quality of living, and in addition, the willingness of consumers to buy is determined by the design that they prefer the most. Like that, a new design of mobile phone based on a new dimension and preferred by the consumers the most is urgently required to be developed by shedding light on the factors related to the preference of consumers on the basis of the analysis on the aesthetic aspect, which can be said to be the most critical factor in the design process. Therefore, this study aims to identity the common preference and different factors of aesthetic aspects through the analysis on the aesthetic aspects of the mobile phone preferred by users among countries, and figure out the formative artistic factors of aesthetic aspects that are considered to be important, in order to propose the guideline on the aesthetic aspect of mobile phone that can be applied to the design of mobile phone practically.

• Journal of The Korean Association For Science Education
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• v.42 no.3
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• pp.311-324
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• 2022

This study analyzed the types of scientific emoticons made by science-gifted elementary school students and their perceptions on making scientific emoticons. To do this, 71 students from 4th to 6th graders of two gifted science education center in Seoul were selected. Scientific emoticons made by the students were analyzed according to the number and types. Their perceptions on making scientific emoticons were also analyzed through a questionnaire and group interviews. In the analyses for types of text in the scientific emoticons, 'word type' and 'sentence type' were made more than 'question and answer type'. And the majority of students made more 'pun using pronunciation type' and 'mixed type' than other types. They also made more 'graphic type' and 'animation type' than 'text type' in the images of the scientific emoticons. In the analyses for the information of the scientific emoticons, 'positive emotion type' and 'negative emotion type' of scientific emoticons were made evenly. The students made more 'new creation type' than 'partial correction type' and 'entire reconstruction type'. They also used scientific knowledge that preceded the knowledge of science curriculum in their grade level. The scientific knowledge of chemistry was used more than physics, biology, earth science, and combination field. 'Name utilization type' was more than 'characteristic utilization type' and 'principle utilization type'. Students had various positive perceptions in making scientific emoticons such as 'increase of scientific knowledge', 'increase of various higher-order thinking abilities', 'ease of explanation, use, memory, and understanding of scientific knowledge', 'increase of fun, enjoyment, and interest about science and science learning', and 'increase of opportunity to express emotions'. They were also aware of some limitations related to 'difficulties in the process of making scientific emoticons', 'lack of time', and 'limit that it may end just for fun'. Educational implications of these findings are discussed.

• Science of Emotion and Sensibility
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• v.7 no.1
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• pp.65-81
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• 2004

With the arrival of the 21th century, the management environments such as the knowledge system, information system, and technology system surrounding small and medium enterprises are being rapidly changed. These rapidly changing the environment of enterprises like the above can be thought rather profitable for the elastic and resiling medium enterprises than large enterprises. Additionally, these environments are recognized as the management circumstances which provide with the change by which medium enterprises equipped with the trustworthy creativity in the 21th century are able to become the main player of the industrial development. The position and role of medium enterprises in the national economical system are very important. The execution of the local autonomy system and the policy to activate the local economy will generally enlarge the power of medium enterprises which are based on the concerned local society more ant more. But, by the standpoint of designer, it is pointed out that there is the problem that the effective application means or the availability of the industrial design was not sufficiently recognized or understood by the manager in enterprises. Notwithstanding the above problem, a lot of domestic small and medium enterprises became to apply the industrial design as the means for improving the competitiveness of their own products in the relatively short time powered by the governmental policy, and moreover both of the concerned partners(the manager and industrial designer) had the opportunity to newly recognize the industrial design and evaluate the availability or problem of the industrial design in the actual aspect. This event means very important change. With the understanding on the above situation, the purpose of this study is to recognize whether the design is strategically applied in the management level of domestic small and medium enterprises, whether the strategical establishment of the design management is performed without any problem, whether the field designer and CEO are well recognizing the design management and what their recognition level is in order to seek the new solution for plenty of problems. Therefore, the actual proof analysis was performed for the field designer and management CEO of small and medium enterprises with the questionnaire survey and direct interview method to understand the actuality of small and medium enterprises.

• Science of Emotion and Sensibility
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• v.19 no.1
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• pp.95-110
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• 2016

Uncanny valley refers to the condition where the affinity of a human-like object decreases dramatically if the object becomes extremely similar to human, and has been hypothesized to derive from the cognitive load of categorical conflict against an uncanny object. According to the hypothesis, the present study ran an oddball task consisting of trials each displaying one among a non-human, human and uncanny face, and measured event-related potentials (ERPs) for each trial condition. In Experiment 1, a non-human face was presented in 80% of the trials (standard) whereas a human face for another 10% trials (target) and an uncanny face for the remaining 10% trials (uncanny). Participants' responses were relatively inaccurate and delayed in both the target and uncanny oddball trials, but neither P3 nor N170 component differed across the three trial conditions. Experiment 2 used 3-D rendered realistic faces to increase the degree of categorical conflict, and found the behavioral results were similar to Experiment 1. However, the peak amplitude of N170 of the target and uncanny trials were higher than the standard trials while P3 mean amplitudes for both the target and uncanny trials were comparable but higher than the amplitude for the standard trials. P3 latencies were delayed in the order of the standard, target, and uncanny trials. The changes in N170 and P3 patterns across the experiments appear to arise from the categorical conflict that the uncanny face must be categorized as a non-target according to the oddball-task requirement despite its perceived category of a human face. The observed increase of cognitive load following the added reality to the uncanny face also indicates that the cognitive load, supposedly responsible for the uncanny experience, would depend on the increase of categorical conflict information subsequent to added stimulus complexity.

• Journal of Nutrition and Health
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• v.55 no.1
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• pp.141-154
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• 2022

Purpose: This study determined the relationships between maternal comprehensive feeding practices (CFP) and dietary practices of preschool children. Methods: Participants of the study were 227 mothers of children aged 3 to 5 years attending daycare centers and kindergartens in Seoul and Gyeonggi Province of Korea. The Comprehensive Feeding Practices Questionnaire was used to assess the maternal feeding practices. The Nutrition Quotient for Preschoolers (NQ-P) was measured to evaluate dietary practice and diet quality of children. Results: The balance of NQ-P for children was positively correlated with the modeling, restrictions for weight control, encouragement of balance and variety, pressure, and involvement among maternal CFP. Moderation of NQ-P was positively correlated with monitoring, modeling, teaching about nutrition, encouragement of balance and variety, environment, and involvement among maternal CFP. However, it was negatively correlated with emotion regulation, food as a reward, and child control in maternal CFP. Among maternal CFP, the environment of NQ-P was positively correlated with monitoring, modeling, teaching about nutrition, encouragement of balance and variety, environment, and involvement, and it was negatively correlated with emotion regulation. As a multiple regression analysis, maternal CFP that positively predicted balance of NQ-P indices were restricted for weight control, pressure, and involvement. Among maternal CFP, encouragement of balance and variety, and environment were positive predictors, while food as a reward, and child control were negative predictors for the moderation of NQ-P. Items of maternal CFP positively predicting environmental factors of NQ-P were monitoring and environment. Conclusion: Mothers are recommended to practice dietary guidance to their children, such as monitoring, modeling, teaching about nutritional information, recommendation of balance and diversity, healthy eating environment, and participation in meal plan and preparation, while they are advised not to conduct any adverse dietary guidance such as emotional control, compensation with food, child control, and food coercion.