• Convergence Security Journal
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• v.3 no.2
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• pp.41-55
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• 2003

Today the traditional national intelligence activities which are mainly based on classified informations are confronted with several problems. These are excessive collection cost, morality of intelligence activity, objectivity of intelligence, intelligence dead zone and timeliness of intelligence etc. On the other hand, circumstances of national intelligence activity are rapidly changed. Those are rapid growth of internet, transformation of classified information into open one and rapid growth of intelligence capabilities of private sector. To cope these problems and circumstances, we reevaluated OSINT(Open Source INTelligence) which is collected from all kinds of open source informations on the internet. First, we classified OSINT into four categories corresponding to the traditional classified collection methods i.e., IMINT, SIGINT, HUMINT and MASINT. And we evaluate the value of OSINT in comparison with classified collection methods. Finally a system for national intelligence activity based on all kinds of open source intelligence on the internet is proposed, described and compared with the system of traditional national intelligence activity.

• Proceedings of the Korean Society for the Gifted Conference
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• 2003.05a
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• pp.137-138
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• 2003

Understanding how and why people differ is a fundamental, if distant, goal of research efforts to bridge psychological and biological levels of analysis. General fluid intelligence (gF) is a major dimension of individual differences and refers to reasoning and novel problemsolving ability. A conceptual integration of evidence from cognitive (behavioral) and anatomical studies suggeststhat gF should covary with both task performance and neural activity in specific brain systems when specific cognitive demands are present, with the neural activity mediating the relation between gF and performance. Direct investigation of this possibility will be a critical step toward a mechanistic model of human intelligence. In turn, a mechanistic model might suggest ways to enhance gF through targeted behavioral or neurobiological intervent ions, We formed two different groups as subjects based on their scholarly attainments. Each group consists of 20 volunteers(aged 16-17 years, right-handed males) from the National Gifted School and a local high school respectively. To test whether individual differences in general intelligence are mediated at a neural level, we first assessed intellectual characteristics in 40 subjects using standard intelligence tests (Raven's Advanced Progressive Matrices, Wechsler Adult Intelligence Scale, Torrance Tests of Creative Thinking) administered outside of the MR scanner. We then used functional magnetic resonance imaging (fMRl) to measure task-related brain activity as participants performed three different kinds of computerized reasoning tasks that were intended to activate the relevant neural systems. To examine the difference of neural activity according to discrepancy in general intelligence, we compared the brain activity of both extreme groups (each, n=10) of the participants based on the standard intelligence test scores. In contrast to the common expectation, there was no significant difference of brain region involved in high-g tasks between both groups. Random effect analysis exhibited that lateral prefrontal, anterior cingulate and parietal cortex are associated with gF. Despite very different task contents in the three high-g-low-g contrasts, recruitment of multiple regions is markedly similar in each case, However, on the task with high 9F correlations, the Prodigy group, (intelligence rank: >99%) showed higher task-related neural activity in several brain regions. These results suggest that the relationship between gF and brain activity should be stronger under high-g conditions than low-g conditions.

• Journal of The Korean Association of Information Education
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• v.6 no.3
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• pp.279-287
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• 2002

These days, school education is making every possible effort to bring up a human able to opposed creatively to 21 century social, because of society is global and informational step by step. For this, the special activity in the seventh curriculum is expended and reorganized from three areas to five areas. On the other hand, the special activity is pushed ahead with the developmental activity in consideration of student's ability and aptitude. However, the teachers are difficult to organize of the developmental activity in based on student's ability and aptitude. Because of developmental activity is organized in the beginning of a term, not only the teachers are fallen to realize student's ability and aptitude but also students ignore ability and aptitude themselves. Therefore this paper designs a program based on MI(Multiple Intelligence) theory to compose developmental activity effectively. Up to now, MI is introduced nine kinds of intelligence, Linguistic Intelligence, Logical-Mathematical Intelligence, Musical Intelligence, Spatial Intelligence, Bodily-Kinesthetic Intelligence, Interpersonal Intelligence, Intrapersonal Intelligence, Naturalist Intelligence, and Existentialist intelligence. this paper designs the K-MIDAS test[1] based on seven kinds of intelligence areas and implements developmental activity program suit to student's ability and aptitude based on the MI test result.

• Korean Security Journal
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• no.17
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• pp.317-336
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• 2008

The purpose of this study is to progress foreign secret service's human intelligence(HUMINT) activity through case study. This study presents confrontation way of our country analyzing characteristic of foreign secret service's human intelligence(HUMINT) activity and examples concretely. The examples that is used this study is foreign secret service's human intelligence(HUMINT) in USA and Japan. The following was the result of the study. First, we need importance awareness of persons security that correspond in foreign secret service's human intelligence activity. Second, we must secure administrative means for persons security means to correspond in foreign secret service's human intelligence (HUMINT) activity. Third, we must raise anti-espionage ability that correspond in foreign secret service's human intelligence(HUMINT) activity.

• Korean Journal of Child Studies
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• v.23 no.4
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• pp.215-226
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• 2002

This study examined the effects of the 'Friends of Nature' education program on multiple intelligence(MI) and emotional intelligence(EI or EQ). The 'Friends of Nature' activity was designed as an education program on the basis of the theories of multiple intelligence and emotional intelligence in order to develop MI and EI through real experiences in the nature. The subjects were 5-year-old kindergarten children, the education activities lasted for 7 months. Significant effects were found in the children's multiple and emotional intelligence between the control group and the activity group in some but not all areas of MI and EI. Consequently, the 'Friends of Nature' program can be said to have partially positive effects on the improvement of children's multiple and emotional intelligence.

• ETRI Journal
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• v.44 no.3
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• pp.426-437
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• 2022

To understand the multilateral characteristics of human behavior and physiological markers related to physical, emotional, and environmental states, extensive lifelog data collection in a real-world environment is essential. Here, we propose a data collection method using multimodal mobile sensing and present a long-term dataset from 22 subjects and 616 days of experimental sessions. The dataset contains over 10 000 hours of data, including physiological, data such as photoplethysmography, electrodermal activity, and skin temperature in addition to the multivariate behavioral data. Furthermore, it consists of 10 372 user labels with emotional states and 590 days of sleep quality data. To demonstrate feasibility, human activity recognition was applied on the sensor data using a convolutional neural network-based deep learning model with 92.78% recognition accuracy. From the activity recognition result, we extracted the daily behavior pattern and discovered five representative models by applying spectral clustering. This demonstrates that the dataset contributed toward understanding human behavior using multimodal data accumulated throughout daily lives under natural conditions.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.8
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• pp.2948-2963
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• 2015

In the field of computer vision, visual surveillance systems have recently become an important research topic. Growth in this area is being driven by both the increase in the availability of inexpensive computing devices and image sensors as well as the general inefficiency of manual surveillance and monitoring. In particular, the ultimate goal for many visual surveillance systems is to provide automatic activity recognition for events at a given site. A higher level of understanding of these activities requires certain lower-level computer vision tasks to be performed. So in this paper, we propose an intelligent activity recognition model that uses a structure learning method and a classification method. The structure learning method is provided as a K2-learning algorithm that generates Bayesian networks of causal relationships between sensors for a given activity. The statistical characteristics of the sensor values and the topological characteristics of the generated graphs are learned for each activity, and then a neural network is designed to classify the current activity according to the features extracted from the multiple sensor values that have been collected. Finally, the proposed method is implemented and tested by using PETS2013 benchmark data.

• Korean Security Journal
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• no.42
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• pp.251-276
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• 2015

The purpose of this article is to examine Israeli intelligence activity which had contributed to the building of Israel and of its national identity. In the late 19th, the Jews scattered around the world had shared the image of victims shaped in the history of the persecution. In this process, intelligence activity was a staple factor which established the state of Israel; political and religious community. Fighting against Arabs, Israel's intelligence agents had played key role in migrating Jews to Palestine and building their own state. In other words, Intelligence activity was the instrument of implementing political Zionism, Jewish nationalism. Even after independence in 1948, despite the opposition of Arab, Israeli intelligence agencies had persuaded the United States and the Soviet Union to recognize Israel as a member of the international society. Arab countries, nevertheless, had regarded Israel as 'a state to be disappeared', and its national identity was totally denied. However, Israel officially gained recognition for statehood through Arab-Israeli war and summit talks with Egypt. Israel finally restored the 'Promised Land' that is recorded in the Bible and established its identity of a winner. In conclusion, Israeli intelligence agency played a decisive role in founding the nation and even forming the consciousness of the people.

• Korean Journal of Human Ecology
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• v.19 no.2
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• pp.245-256
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• 2010

The purpose of this study is on the effect of the Baduk play activity upon a child's intelligence, problem solving and delay of gratification. 68 participants (36 from the test group and 32 from the regulation group) were selected from 5 year old children who attend two elementary school annexed kindergartens for a pre-test and post-test in order to verify the effect of the Baduk play activity. The Baduk play activity was applied to the test group 3 times a week from the 3rd week of March, 2008 until the 3rd week of October, 2008. In this study, K-WPPSI, CPS and delay of gratification test were used to measure the effect of the activity. As a result, it can be construed that the Baduk play activity gives children a more positive influence upon their activity and overall IQ, ability of problem- solving and delay of gratification.

• Journal of Information Technology Services
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• v.21 no.1
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• pp.103-125
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• 2022

This study empirically examines the correlation between the data, system, service quality, collective intelligence, innovation activity, and work performance of the KMS for employees of state-run enterprises. This study also confirmed that collective intelligence and innovation activity have a mediating effect on the relationship between KMS system quality and work performance. For this study, employees of state-run enterprises completed a 5-point Likert scale survey, and the data obtained were analyzed with descriptive statistics. The reliability and validity of variables were also verified through a measurement model analysis. Structural equation modeling of IBM SPSS 26 and AMOS 26 were used to prove the hypothesis. Through this study, For the improvement of sustainable work performance of state-run enterprises, which is a difficult issue to solve, not only should the quality of the KMS utilized in the enterprises be improved and managed, but also the design for various incentive schemes tailored to the enterprises' job characteristics, such as rewards, HR bonus, work incentives, job allowance, and encouragement from the head of the enterprise, should be reviewed and continuously developed in reflection of the active collective intelligence of the employees and the effect of innovation activities. Then, the work performance of public institutions will increase.