• Journal of the Korea Convergence Society
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• v.10 no.6
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• pp.33-39
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• 2019

As cyber attack methods are becoming more intelligent, incidents such as security breaches and international crimes are increasing. In order to predict and respond to these cyber attacks, the characteristics, methods, and types of attack techniques should be identified. To this end, many security companies are publishing security intelligence reports to quickly identify various attack patterns and prevent further damage. However, the reports that each company distributes are not structured, yet, the number of published intelligence reports are ever-increasing. In this paper, we propose a method to extract structured data from unstructured security intelligence reports. We also propose an automatic intelligence report analysis system that divides a large volume of reports into sub-groups based on their topics, making the report analysis process more effective and efficient.

• Human Ecology Research
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• v.53 no.3
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• pp.265-277
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• 2015

This study examines child emotional intelligence in relation to mother's emotional expressiveness and reaction to child negative emotions. A sample of 352 children and mothers from 4 elementary schools in Seoul and Gyeonggi participated in the study. Child emotional intelligence and mother's reaction to child negative emotions were evaluated by child-report, and mother's emotional expressiveness was assessed by mother-report. Data were analyzed by descriptive statistics, two-way analysis of variances, Pearson's correlation and multiple regression analyses. The findings were as follows. First, mothers of boys showed more oversensitive-reaction to child negative emotions than mothers of girls. Mothers of 6th-graders showed more emotion-minimizin-greaction to child negative emotions than mothers of 5th-graders. Second, girls showed a higher level of overall emotional intelligence than boys. Girls showed a higher level of emotion expression and emotion regulation than boys. The 5th-graders showed higher level of emotion expression than 6th-graders; however, 6th graders showed a higher level of emotion perception than 5th-graders. Third, more emotion-coaching-reaction and less oversensitive-reaction by mothers predicted a better emotional intelligence of children. A mother's appropriate emotional socialization behaviors associated with child emotional intelligence were discussed.

• TTA Journal
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• s.153
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• pp.40-45
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• 2014

• Journal of Digital Convergence
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• v.17 no.11
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• pp.233-240
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• 2019

In order to predict and respond to cyber attacks, a number of security companies quickly identify the methods, types and characteristics of attack techniques and are publishing Security Intelligence Reports(SIRs) on them. However, the SIRs distributed by each company are huge and unstructured. In this paper, we propose a framework that uses five analytic techniques to formulate a report and extract key information in order to reduce the time required to extract information on large unstructured SIRs efficiently. Since the SIRs data do not have the correct answer label, we propose four analysis techniques, Keyword Extraction, Topic Modeling, Summarization, and Document Similarity, through Unsupervised Learning. Finally, has built the data to extract threat information from SIRs, analysis applies to the Named Entity Recognition (NER) technology to recognize the words belonging to the IP, Domain/URL, Hash, Malware and determine if the word belongs to which type We propose a framework that applies a total of five analysis techniques, including technology.

• Electronics and Telecommunications Trends
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• v.36 no.2
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• pp.22-31
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• 2021

This report introduces a definition for robot task intelligence and explains the basis of the challenges associated with implementing robot task intelligence in real-world problems. Two fundamental elements of this intelligence, robot manipulation and navigation, are introduced herein. We describe the existing trends and industrial applications of the robot task intelligence in logistics and agricultural automation. Furthermore, as an underpinning technology for this intelligence, we review the existing three-dimensional position estimation techniques and summarize the difficulties associated with applying pure SLAM technology to real-world applications. Finally, we discuss the prospects of the robot task intelligence research and its potential for solving real-world problems.

• Journal of the Korea Convergence Society
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• v.8 no.2
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• pp.35-42
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• 2017

The purpose of the present study was to explore the features of Emotional Intelligence(EI) in psychiatric patients in terms of the ability model. EI scores of patients, measured by performance-based test and self-report inventory, was compared. The scores of performance-based test(Emotional Literacy Test) and self-report inventory(Trait Meta-Mmood Scale) of patients(30 with psychotic symptoms, 32 without psychotic symptoms) who had a appropriate literacy were analyzed by means of independent t-test. There was a no significant difference of IQ between two groups. Our results indicated that psychotic group had significantly lower EI in performance-based test than non-psychotic group. In contrast, non-psychotic group showed lower EI in self-report inventory than psychotic group. This inconsistent results might be attributable to the differences in method of measurement. Thus, these results suggested that it may be important to adopt a convergent using of both performance-based test and self-report inventory while assessing EI of patients with psychopathology.

• Journal of the Korean housing association
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• v.20 no.2
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• pp.19-26
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• 2009

The purpose of this study is to consider the importance of residential environment by grasping factors for residential environment, and also grasping the relationship between residential environment stress, residence coping style, and emotional intelligence. Self-report survey and emotional intelligence measuring tool developed by Wong & Law (2000) were conducted in this study to investigate the contents of residential environment stress, residence coping style, and emotional intelligence, and subjects of this study were students of D university. As a result of this study, residential environment stress that respondents recognized was not high, but stress in super ordinate stage of residential desire was higher than that in subordinate stage. Also as the result of conducting correlation analysis of the relationship between residential environment stress, residence coping style, and emotional intelligence, there was insignificant correlation. It is supposed that the result is caused by limited respondents in this study, and it is considered that more reliable analysis with expansive inspection will be required in the future study.

• Electronics and Telecommunications Trends
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• v.38 no.4
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• pp.70-80
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• 2023

In recent years, our society has shifted from an information society to an intelligent information society, in which computing has become a key factor in shaping and driving social development. In this new era of digital civilization powered by the Internet of Things, traditional data-based computing is no longer sufficient to meet the growing demand for higher levels of intelligence. Therefore, intelligent computing has emerged, reshaping traditional computing and forming new computing paradigms to promote the digital revolution in the era of the Internet of Things, big data, and artificial intelligence. Intelligent computing has greatly expanded the scope of computing through new computing theories, architectures, methodologies, systems, and applications, and it is expanding into diverse computing paradigms such as perceptual intelligence, cognitive intelligence, autonomous intelligence, and human-computer fusion intelligence. This paper introduces the concept and main features of intelligent computing and describes trends in standardization for intelligent computing within the ISO/IEC JTC 1, focusing on the technical trend report on intelligent computing that is currently under development within ISO/ IEC JTC 1/AG 2.

• Electronics and Telecommunications Trends
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• v.32 no.5
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• pp.107-116
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• 2017

Artificial intelligence has recently been regarded as a key engine of future industry, and cloud computing and big data technologies have begun to receive significant attention. Major global vendors such as IBM, Microsoft, Google, and Amazon have been launching cloud-computing services for artificial intelligence. On the other hand, the situation domestically is now at an early stage. This report describes the industry trends both domestically and internationally regarding cloud computing for artificial intelligence. We also describe to significance of cloud computing ecosystem and data competitiveness for artificial intelligence.

• Electronics and Telecommunications Trends
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• v.37 no.6
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• pp.23-31
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• 2022

Mobile robot intelligence refers to planning the path of robots to move indoors and outdoors and establishing a physical action plan that can be driven safely and smoothly according to the surrounding environments' structures. This report introduces technical issues in mobile robot intelligence. Furthermore, we describe the latest mobile intelligence technology of four-legged walking, logistics, and agricultural robots. Finally, we discuss mobile robot intelligence research prospects and its potential for solving real-world problems.