• Journal of Intelligence and Information Systems
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• v.25 no.3
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• pp.1-17
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• 2019

Because stock price forecasting is an important issue both academically and practically, research in stock price prediction has been actively conducted. The stock price forecasting research is classified into using structured data and using unstructured data. With structured data such as historical stock price and financial statements, past studies usually used technical analysis approach and fundamental analysis. In the big data era, the amount of information has rapidly increased, and the artificial intelligence methodology that can find meaning by quantifying string information, which is an unstructured data that takes up a large amount of information, has developed rapidly. With these developments, many attempts with unstructured data are being made to predict stock prices through online news by applying text mining to stock price forecasts. The stock price prediction methodology adopted in many papers is to forecast stock prices with the news of the target companies to be forecasted. However, according to previous research, not only news of a target company affects its stock price, but news of companies that are related to the company can also affect the stock price. However, finding a highly relevant company is not easy because of the market-wide impact and random signs. Thus, existing studies have found highly relevant companies based primarily on pre-determined international industry classification standards. However, according to recent research, global industry classification standard has different homogeneity within the sectors, and it leads to a limitation that forecasting stock prices by taking them all together without considering only relevant companies can adversely affect predictive performance. To overcome the limitation, we first used random matrix theory with text mining for stock prediction. Wherever the dimension of data is large, the classical limit theorems are no longer suitable, because the statistical efficiency will be reduced. Therefore, a simple correlation analysis in the financial market does not mean the true correlation. To solve the issue, we adopt random matrix theory, which is mainly used in econophysics, to remove market-wide effects and random signals and find a true correlation between companies. With the true correlation, we perform cluster analysis to find relevant companies. Also, based on the clustering analysis, we used multiple kernel learning algorithm, which is an ensemble of support vector machine to incorporate the effects of the target firm and its relevant firms simultaneously. Each kernel was assigned to predict stock prices with features of financial news of the target firm and its relevant firms. The results of this study are as follows. The results of this paper are as follows. (1) Following the existing research flow, we confirmed that it is an effective way to forecast stock prices using news from relevant companies. (2) When looking for a relevant company, looking for it in the wrong way can lower AI prediction performance. (3) The proposed approach with random matrix theory shows better performance than previous studies if cluster analysis is performed based on the true correlation by removing market-wide effects and random signals. The contribution of this study is as follows. First, this study shows that random matrix theory, which is used mainly in economic physics, can be combined with artificial intelligence to produce good methodologies. This suggests that it is important not only to develop AI algorithms but also to adopt physics theory. This extends the existing research that presented the methodology by integrating artificial intelligence with complex system theory through transfer entropy. Second, this study stressed that finding the right companies in the stock market is an important issue. This suggests that it is not only important to study artificial intelligence algorithms, but how to theoretically adjust the input values. Third, we confirmed that firms classified as Global Industrial Classification Standard (GICS) might have low relevance and suggested it is necessary to theoretically define the relevance rather than simply finding it in the GICS.

• Journal of dental hygiene science
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• v.14 no.2
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• pp.114-122
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• 2014

The purpose of this study was to analyze the effect of mediating variables on the relationship between job stress and stress response. A survey was conducted to 243 clinical dental hygienists from January 15, 2013 to March 20, 2013 and the data were analyzed using t-test, one-way ANOVA, Pearson's correlation analysis, and hierarchical multiple regression analysis. The subjects who worked in poor working environment, had high level of role conflict and overload and aggressive nature showed high stress responsivity (p<0.01). The variable that showed mediation effect on the relationship between job stress and physical discomfort, depression was shown to be personality type (p<0.05). Also, the variable that showed mediation effect on the relationship between job stress and turnover intention was social support (p<0.05). According to the results, personality type and social support were shown to be important parameters when it came to the relationship between job stress and stress response. Therefore, in order to reduce negative outcomes caused by stress, it is suggested to provide an educational opportunity on self-control management while increasing social support from the organizational and structural level. Especially, it is asked to expand the system that provides encouragement and recognition to feel the sense of achievement in the course of their duty execution.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.2
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• pp.67-80
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• 2020

This study has been conducted at a time when Korean government continues to extend support for youth startups as part of its policy to create jobs and the focus moves from career and employment to youth startups with a growing interest in the field of youth startups. Against this background, this study aims to identify difficulty factors of youth startups in areas besides the Seoul Metropolitan Area, seek ways to overcome difficulty factors, and propose policy implications. To this end, this study set five criteria and 25 sub-criteria to evaluate the difficulties of youth startups by reviewing previous studies and conducting literature review, and performing brainstorming method. The empirical analysis of the evaluation criteria was performed, using the analytic hierarchy process (AHP) method, on youths aged 19 to 39 in Gunsan area. The analysis results showed that the largest difficulty factors facing local youths include business model establishment, business administration and management, and startup funding in the criteria. As for sub-criteria, the largest difficulty factors are market information acquisition, technology commercialization, project feasibility, technology development, and new market pioneering in descending order. Local youths have much difficulty about the process of turning a business item into a product and commercializing it. According to a comparative analysis by gender, men were a relatively high difficulty in commercializing business models than women. men were a relatively high difficulty in commercializing business models than women. On the other hand, women were higher than men in all factors (management management, entrepreneurship, improvement of entrepreneurship system, and improvement of entrepreneurship awareness) except for factors affecting business model. In addition, the factors of entrepreneurship were found to be relatively different among young people (college students, prospective entrepreneurs, entrepreneurs). In conclusion, it was suggested that in order to revitalize youth entrepreneurship in the region, it is necessary to actively resolve the difficulties of business model commercialization rather than entrepreneurship funds. In addition, it is necessary to strategically support customized entrepreneurship support and situational administrative services because gender and hierarchical difficulties are different than general solutions. This study presented practical priorities and derivation methods for the entrepreneurship difficulties faced by local youth, and suggested measures and improvements for vitalizing local youth entrepreneurship in the future.

• Journal of Environmental Impact Assessment
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• v.27 no.4
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• pp.353-366
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• 2018

The purpose of this study was assessment the quality of water by using the statistical analysis technique of the Water flow and water quality from January 2012 to December 2016 at the unit basin for total pollutant load management system (TPLMS) in the Imjin River. Water flow and water quality were monitored at an average of 8 day intervals, 11 parameters were used for correlation analysis, principal component analysis (PCA), factor analysis (FA), and cluster analysis (CA). The Hierarchical CA was classified into three according to the change of space, such as natural rivers, urban rivers, point with large influence of point pollution source, it was found that the type of contamination source the similarity of water quality affected the classification of cluster. Using one-way analysis of variance (ANOVA) and post-hoc Analysis, there were statistically significant differences between mean values among the clusters. Correlation analysis showed the correlation coefficient between $COD_{Mn}$ and TOC was 0.951 (p<0.01) and the correlation was statistically significantly higher. According to the result PCA and FA, 3 principal components can explaining 72% of the total variations in water quality characteristics and main factor was EC, $BOD_5$, $COD_{Mn}$, TN, TP and TOC indirect indicators of organic matter and nutrients were influenced. This study presented the regression equation obtained by applying the factor scores to the multiple linear regression analysis and concluded that the management Indirect indicators of organic matter and nutrients is important for water quality management in the Imjin River basin.

• Journal of the Korean Society of School Health
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• v.6 no.1
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• pp.9-44
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• 1993

An explorative and descriptive study in order to determine the effect of family structure and other socio-demographic variables on health behavior, belief, locus, and value and utilization of public health service was carried out. Data were collected from 1,653 subjects randomly sampled in three areas, Seoul, Kyunggi province, and Cheju province. From Seoul 849 subjects were selected, 397 subjects Kyunggi, and 407 subjects from Cheju, respectively. Self-reporting questionaires were administered during the period from March to June, 1992. The major findings were as follows: 1) The subjects visited herb-doctor's at irregular intervals mainly to have tonic medicine prepared. They preferred herb-doctor's rather than with doctors at clinics and hospitals. Statistically significant difference was found among the regions studied (p<0.05). 2) The reason for visiting hospitals was primarily for treatment of diseases. They preferred hospital because they felt that the hospitals offer much highly reliable treatment services as well as medical accessibility. For the purpose of hospital utilization, statistically significant differences existed among sex, educational level, family type and region. However, no significance was found among sex, educational level, and region (p<0.05). 3) The subjects utilized general hospitals mainly for diagnosis and treatment of diseases. They preferred general hospitals because of their much better facilities and reliability. Statistical significance was found among sex, educational level, and region (p<0.05). 4) The subjects visited dentist at irregular intervals basis. They visited once half a year or three to four months. their purpose of visit was mainly for diagnosis and treatment of diseases. Statistical significance differences were found among educational level, region and economic standard (p<0.05). 5) Whenever their illnesses were mild and the pharmacies was located in nearby they visited to pharmacies. They visited once a month and patient medicines. Statistically significant differences were found among sex, educational level and region (p<0.05). 6) The subjects believed that herb medicine was quite efficacious for treatment of some diseases, particularly by information handed down through time-honored tradition and experience. However, they recognized that the efficacy of folk medicine can vary with type and severity of diseases. Statistical significance was among sex, educational level, region and economic standard (p<0.05). 7) The reason why subjects believed that pray and superstition are effective for treatment of certain type of diseases, particularly in neuropathy, was the belief in God's almighty. Statistically significant differences were found among sex, educational level, regions and economic standard (p<0.05). 8) Most of subjects under same condition preferred western medicine because they believed that it is more scientific and prompts in showing therapeutic effect. Statistical significance was not found in the choice of type of public health service among, regions. But significant differences were found among sex, educational level and region (p<0.05). 9) The subjects looked for pharmacy if they thought the symptom was mild. However, they visited hospitals for chronic disease and general hospitals for emergency treatment. Statistical significances were found among educational level, region and economic standard (p<0.05). 10) Although most of students wanted to have a healthy life as for the component of health standard and value, they think that they are not healthy (p<0.05). As for the health behavior, significant difference was found in the proportion of smoking and drinking between educational level and region (p<0.05). The health locus was affected by educational level, and health behavior was influenced by region, sex and educational level. The utilization of type of public health service was influenced by family type and region, and health belief by region and educational level, and the health values by region and economic standard respectively, most of correlation showed statistical significance. Among them, the highest correlation was seen between locus of control and external/internal locus of control, which is quite obvious. The correlation between health belief and behavior was the next highest, but still low (0.343). All the other variables are low but significant except only a few of those. These findings indicate that health education should be incorporated into the curriculum so as to develop desirable health habit, and ability of self-control in accordance with their growth stages. A systematic and scientific understanding on the herb/folk medicine is needed, and greater reliability of the utilization of public health services are is still required. Health policy for equal distribution of health service throughout the country along the hierarchical health service system and complementary mutual assistance and cooperation among various health organizations are also required.

• Korean journal of communication and information
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• v.46
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• pp.449-484
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• 2009

It has been said that Gwangjudream, nevertheless a free press, plays a role as a local press that it should be, in a situation that other local papers do not. This study aims to reveal the forces that influence the article production of Gwangjudream, and to examine the interrelations between them, through using the methods of participant observations and depth interviews. In this course, it is eventually purpose of providing more deep understandings on the present circumstances and problems of the local papers and having a chance to concern the concrete ways to enhance them. This study results in revealing the five forces that primarily influence the article production of Gwangjudream: 1) as a historical force, keeping the spirit of the first publication that look forward to playing a role as a local press that it sound be, 2) as an individual force, the habitus of its members that is critical of mainstream society and culture, 3) as an organizational force, non-hierarchical culture and the independence of the editorial rights, 4) as a habitual force, the deny of beat system, 5) as an economical force, the power of sponsors, financial poorness, and the competition for attracting subscribers. While the historical force and the individual force play a role as fundamental circumstances and the organizational force and the habitual force as practical circumstances for producing articles, they encourage to emerge the characteristics of the articles that are related to citizens' everyday life and reflect locality, and criticize and keep an eye on government and other public offices. However, the economical force provides the circumstances that weaken the characteristics of Gwangjudream. The results of this study question the perspective to overly regard it as coming from their economical weakness that the local newspaper do not play a role as a local press that it should be.

• Journal of Intelligence and Information Systems
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• v.19 no.4
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• pp.81-96
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• 2013

Video information retrieval has become a very important issue because of the explosive increase in video data from Web content development. Meanwhile, content-based video analysis using visual features has been the main source for video information retrieval and browsing. Content in video can be represented with content-based analysis techniques, which can extract various features from audio-visual data such as frames, shots, colors, texture, or shape. Moreover, similarity between videos can be measured through content-based analysis. However, a movie that is one of typical types of video data is organized by story as well as audio-visual data. This causes a semantic gap between significant information recognized by people and information resulting from content-based analysis, when content-based video analysis using only audio-visual data of low level is applied to information retrieval of movie. The reason for this semantic gap is that the story line for a movie is high level information, with relationships in the content that changes as the movie progresses. Information retrieval related to the story line of a movie cannot be executed by only content-based analysis techniques. A formal model is needed, which can determine relationships among movie contents, or track meaning changes, in order to accurately retrieve the story information. Recently, story-based video analysis techniques have emerged using a social network concept for story information retrieval. These approaches represent a story by using the relationships between characters in a movie, but these approaches have problems. First, they do not express dynamic changes in relationships between characters according to story development. Second, they miss profound information, such as emotions indicating the identities and psychological states of the characters. Emotion is essential to understanding a character's motivation, conflict, and resolution. Third, they do not take account of events and background that contribute to the story. As a result, this paper reviews the importance and weaknesses of previous video analysis methods ranging from content-based approaches to story analysis based on social network. Also, we suggest necessary elements, such as character, background, and events, based on narrative structures introduced in the literature. We extract characters' emotional words from the script of the movie Pretty Woman by using the hierarchical attribute of WordNet, which is an extensive English thesaurus. WordNet offers relationships between words (e.g., synonyms, hypernyms, hyponyms, antonyms). We present a method to visualize the emotional pattern of a character over time. Second, a character's inner nature must be predetermined in order to model a character arc that can depict the character's growth and development. To this end, we analyze the amount of the character's dialogue in the script and track the character's inner nature using social network concepts, such as in-degree (incoming links) and out-degree (outgoing links). Additionally, we propose a method that can track a character's inner nature by tracing indices such as degree, in-degree, and out-degree of the character network in a movie through its progression. Finally, the spatial background where characters meet and where events take place is an important element in the story. We take advantage of the movie script to extracting significant spatial background and suggest a scene map describing spatial arrangements and distances in the movie. Important places where main characters first meet or where they stay during long periods of time can be extracted through this scene map. In view of the aforementioned three elements (character, event, background), we extract a variety of information related to the story and evaluate the performance of the proposed method. We can track story information extracted over time and detect a change in the character's emotion or inner nature, spatial movement, and conflicts and resolutions in the story.

• Management & Information Systems Review
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• v.24
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• pp.125-154
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• 2008

The purpose of this study is to analyze how the organizational structure, task group functioning and need styles have influence on the conflicts handling styles such as integrating, avoiding, dominating, obliging and compromising as the employee's personality engaged in the service industry. This study uses the hierarchical regression analysis method. Data were collected by the survey method from employees engaged in the service industry located Seoul, the Province of Gyeonggi, and the Province of Gangwon. The study result shows that to the employees with the type A style, need styles are significantly related to the conflicts handling styles such as avoiding. But to the employees with the type B style, need styles are significantly related to the conflicts handling styles such as integrating and avoiding. On the other hand the result shows that the higher the need for achievement and the lower the need for autonomy, employees with the type B style prefer integrating styles to other conflicts handling styles. Or the higher the need for dominance, employees with the type B style prefer dominating styles to other conflicts handling styles. And the higher the need for dominance, employees with the type A style prefer dominating styles to other conflicts handling styles. The study result shows that to the employees with the type A and type X style, task group functioning are significantly related to the conflicts handling styles such as obliging and compromising. But to the employees with the type B style, task group functioning are significantly related to the conflicts handling styles such as obliging and dominating. On the other hand the result shows that the lower faith in peers and management and the higher confidence in peers and management, employees with the type B style prefer obliging style to other conflicts handling styles. But the higher group homogeneity and group cohesiveness, the lower faith in peers and management and the higher confidence in peers and management, employees with the type X style prefer obliging style to other conflicts handling styles. And the higher confidence in peers and management, employees with the type A style prefer compromising style to other conflicts handling styles. The study result shows that to the employees with the type A, organizational structure functioning are significantly related to the conflicts handling styles such as avoiding, obliging and compromising. But to the employees with the type X style, organizational structure functioning are significantly related to the conflicts handling styles such as dominating. On the other hand the result shows that the higher role conflict, the lower role ambiguity and the higher communication system, employees with the type A style prefer avoiding style to other conflicts handling styles. But the lower role ambiguity, employees with the type X style prefer compromising style to other conflicts handling styles. To conclude from these results, employees with the type A style have influence on the organizational structure functioning to other factors on the preference of the conflicts handling styles. And employees with the type B style have influence on the needs styles to other factors on the preference of the conflicts handling styles. Or employees with the type X style have influence on the task group functioning to other factors on the preference of the conflicts handling styles. Although this study provides several managerial implications, this study has some limitations. Specifically data were collected from only the service industry in Seoul, the Province of Gyeonggi, and the Province of Gangwon. In spite of the limitations, the study results could be used valuably in case of the personnel managers which manage the employees under the conflict situations.

• Journal of Intelligence and Information Systems
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• v.18 no.2
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• pp.47-60
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• 2012

Video data comes in the form of the unstructured and the complex structure. As the importance of efficient management and retrieval for video data increases, studies on the video parsing based on the visual features contained in the video contents are researched to reconstruct video data as the meaningful structure. The early studies on video parsing are focused on splitting video data into shots, but detecting the shot boundary defined with the physical boundary does not cosider the semantic association of video data. Recently, studies on structuralizing video shots having the semantic association to the video scene defined with the semantic boundary by utilizing clustering methods are actively progressed. Previous studies on detecting the video scene try to detect video scenes by utilizing clustering algorithms based on the similarity measure between video shots mainly depended on color features. However, the correct identification of a video shot or scene and the detection of the gradual transitions such as dissolve, fade and wipe are difficult because color features of video data contain a noise and are abruptly changed due to the intervention of an unexpected object. In this paper, to solve these problems, we propose the Scene Detector by using Color histogram, corner Edge and Object color histogram (SDCEO) that clusters similar shots organizing same event based on visual features including the color histogram, the corner edge and the object color histogram to detect video scenes. The SDCEO is worthy of notice in a sense that it uses the edge feature with the color feature, and as a result, it effectively detects the gradual transitions as well as the abrupt transitions. The SDCEO consists of the Shot Bound Identifier and the Video Scene Detector. The Shot Bound Identifier is comprised of the Color Histogram Analysis step and the Corner Edge Analysis step. In the Color Histogram Analysis step, SDCEO uses the color histogram feature to organizing shot boundaries. The color histogram, recording the percentage of each quantized color among all pixels in a frame, are chosen for their good performance, as also reported in other work of content-based image and video analysis. To organize shot boundaries, SDCEO joins associated sequential frames into shot boundaries by measuring the similarity of the color histogram between frames. In the Corner Edge Analysis step, SDCEO identifies the final shot boundaries by using the corner edge feature. SDCEO detect associated shot boundaries comparing the corner edge feature between the last frame of previous shot boundary and the first frame of next shot boundary. In the Key-frame Extraction step, SDCEO compares each frame with all frames and measures the similarity by using histogram euclidean distance, and then select the frame the most similar with all frames contained in same shot boundary as the key-frame. Video Scene Detector clusters associated shots organizing same event by utilizing the hierarchical agglomerative clustering method based on the visual features including the color histogram and the object color histogram. After detecting video scenes, SDCEO organizes final video scene by repetitive clustering until the simiarity distance between shot boundaries less than the threshold h. In this paper, we construct the prototype of SDCEO and experiments are carried out with the baseline data that are manually constructed, and the experimental results that the precision of shot boundary detection is 93.3% and the precision of video scene detection is 83.3% are satisfactory.

• Journal of Intelligence and Information Systems
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• v.18 no.2
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• pp.61-83
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• 2012

A knowledge map describes the network of related knowledge into the form of a diagram, and therefore underpins the structure of knowledge categorizing and archiving by defining the relationship of the referential navigation between knowledge. The referential navigation between knowledge means the relationship of cross-referencing exhibited when a piece of knowledge is utilized by a user. To understand the contents of the knowledge, a user usually requires additionally information or knowledge related with each other in the relation of cause and effect. This relation can be expanded as the effective connection between knowledge increases, and finally forms the network of knowledge. A network display of knowledge using nodes and links to arrange and to represent the relationship between concepts can provide a more complex knowledge structure than a hierarchical display. Moreover, it can facilitate a user to infer through the links shown on the network. For this reason, building a knowledge map based on the ontology technology has been emphasized to formally as well as objectively describe the knowledge and its relationships. As the necessity to build a knowledge map based on the structure of the ontology has been emphasized, not a few researches have been proposed to fulfill the needs. However, most of those researches to apply the ontology to build the knowledge map just focused on formally expressing knowledge and its relationships with other knowledge to promote the possibility of knowledge reuse. Although many types of knowledge maps based on the structure of the ontology were proposed, no researches have tried to design and implement the referential navigation-enabled knowledge map. This paper addresses a methodology to build the ontology-based knowledge map enabling the referential navigation between knowledge. The ontology-based knowledge map resulted from the proposed methodology can not only express the referential navigation between knowledge but also infer additional relationships among knowledge based on the referential relationships. The most highlighted benefits that can be delivered by applying the ontology technology to the knowledge map include; formal expression about knowledge and its relationships with others, automatic identification of the knowledge network based on the function of self-inference on the referential relationships, and automatic expansion of the knowledge-base designed to categorize and store knowledge according to the network between knowledge. To enable the referential navigation between knowledge included in the knowledge map, and therefore to form the knowledge map in the format of a network, the ontology must describe knowledge according to the relation with the process and task. A process is composed of component tasks, while a task is activated after any required knowledge is inputted. Since the relation of cause and effect between knowledge can be inherently determined by the sequence of tasks, the referential relationship between knowledge can be circuitously implemented if the knowledge is modeled to be one of input or output of each task. To describe the knowledge with respect to related process and task, the Protege-OWL, an editor that enables users to build ontologies for the Semantic Web, is used. An OWL ontology-based knowledge map includes descriptions of classes (process, task, and knowledge), properties (relationships between process and task, task and knowledge), and their instances. Given such an ontology, the OWL formal semantics specifies how to derive its logical consequences, i.e. facts not literally present in the ontology, but entailed by the semantics. Therefore a knowledge network can be automatically formulated based on the defined relationships, and the referential navigation between knowledge is enabled. To verify the validity of the proposed concepts, two real business process-oriented knowledge maps are exemplified: the knowledge map of the process of 'Business Trip Application' and 'Purchase Management'. By applying the 'DL-Query' provided by the Protege-OWL as a plug-in module, the performance of the implemented ontology-based knowledge map has been examined. Two kinds of queries to check whether the knowledge is networked with respect to the referential relations as well as the ontology-based knowledge network can infer further facts that are not literally described were tested. The test results show that not only the referential navigation between knowledge has been correctly realized, but also the additional inference has been accurately performed.