• Journal of Advanced Navigation Technology
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• v.23 no.4
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• pp.296-301
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• 2019

Artificial intelligence is closely linked to our real lives, leading innovation in various fields. Especially, as a means of transportation possessing artificial intelligence, autonomous unmanned vehicles are actively researched and are expected to be put into practical use soon. Autonomous cars and autonomous unmanned aerial vehicles are required to equip accurate navigation system so that they can find out their present position and move to their destination. At present, the navigation of transportation that we operate is mostly dependent on GPS. However, GPS is vulnerable to external intereference. In fact, since 2010, North Korea has jammed GPS several times, causing serious disruptions to mobile communications and aircraft operations. Therefore, in order to ensure safety in the operation of the autonomous unmanned vehicles and to prevent serious accidents caused by the intereference, rapid situation judgment and countermeasure are required. In this paper, based on big data and machine learning technology, we propose a countermeasure system for GPS interference that supports decision making by applying John Boyd's OODA loop cycle (detection - direction setting - determination - action).

• Journal of Engineering Education Research
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• v.12 no.2
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• pp.3-13
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• 2009

This thesis is for understanding what women engineer need educational support through the research of motivation when women engineer apply 'engineering college', choosing their major and also, self-efficacy. We collect data through 108 people University of K students and 104 students in D University both of them are located in metropolitan area. In the same way, research 101 students who are attending National university C in Chungchung-do, 104 students in Keungsang-do national university of C and 119 students of J National university belonging in Jeju-do whole number is 536. The questionnaire has corrected and supplied through the Doctor Kim thesis(2004) by two doctors of education. The questionnaire has 5 questions for motivation and 26 questions for self-efficacy and we started research from Sep. 1. until Sep. 26. in 2008. As the result of research, firstly the students who have aptitude for engineering or engineering major show more understanding, less give up when they against difficulty, more talent for studying than the students without aptitude. Secondly the students who decide to apply 'engineering college' before taking entrance examination can compare with the students who decide after taking test. Consequently, already decided before taking test students have more higher self-efficacy.

• Journal of the Korea Society of Computer and Information
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• v.25 no.4
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• pp.11-17
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• 2020

In this paper, we propose a method to build a knowledge base based on natural language processing for intelligent battlefield awareness service. The current command and control system manages and utilizes the collected battlefield information and tactical data at a basic level such as registration, storage, and sharing, and information fusion and situation analysis by an analyst is performed. This is an analyst's temporal constraints and cognitive limitations, and generally only one interpretation is drawn, and biased thinking can be reflected. Therefore, it is essential to aware the battlefield situation of the command and control system and to establish the intellignet decision support system. To do this, it is necessary to build a knowledge base specialized in the command and control system and develop intelligent battlefield awareness services based on it. In this paper, among the entity names suggested in the exobrain corpus, which is the private data, the top 250 types of meaningful names were applied and the weapon system entity type was additionally identified to properly represent battlefield information. Based on this, we proposed a way to build a battlefield-aware knowledge base through mention extraction, cross-reference resolution, and relationship extraction.

• 한국벤처창업학회:학술대회논문집
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• 2022.11a
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• pp.167-173
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• 2022

임팩트투자는 재무적인 수익과 더불어 사회에 긍정적인 영향을 만들고자 하는 의도를 가진 기업, 조직, 펀드를 대상으로 하는 투자 방식으로서 사회적 문제를 해결하기 위해 혁신적인 기술과 아이디어를 기잔 소셜벤처 기업에 재무적 지원을 위한 초기단계 투자로서 많은 관심을 받고 있다. 임팩트투자자는 재무적 수익과 사회적 가치추구라는 이중적인 판단 요인 때문에 사회적가치지표(SVI: Social Value Index)를 투자판단에 참고로 활용하고 있으나 투자를 결심하는 판단요인에 있어서는 여전히 개인의 경험과 주관적인 판단에 의존하고 있는 실정이다. 본 연구를 통하여 임팩트투자자가 복합적으로 고려하는 투자판단 요인들에 대한 타당도와 상대적 가중치를 객관화 하고, 재무적 수익과 사회적 가치의 이중적이 가치판단 중에서 어느 쪽을 더 주요하게 고민하는 지에 대하여 분석하였다. 본 연구는 판단분석기법을 활용하였으며 '임팩트투자자의 소셜벤처 투자결정에 대한 종합적인 평가'를 판단문제로 정의하고, 임팩트투자자의 투자의사결정 요인을 도출하기 위하여 투자자로서 재무적 이익과 회수 가능성 판단을 위한 ①초기투자단계에서의 투자의사결정 요인, 사회에 미치는 영향과 파급력, 소셜벤처의 상생과 연대를 위한 ②창업가(팀)의 정치적 기술, 임팩트투자펀드 조성 목적에 부합하는 ③소셜벤처기업의 소셜미션 등 세가지의 분류로 구성하여 연구를 진행하였다.

• The Journal of the Korea Contents Association
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• v.17 no.1
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• pp.100-112
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• 2017

The purpose of the phenomenological study was to explore the practitioner's experiences according to practitioner's perception and to enrich our understanding about them. In order to accomplish the purpose of research, 7 practitioners with out-of-school youths participated. Data were collected through in-depth interview. In addition, the data were analyzed by a Colaizzi's phenomenological analysis. The findings showed that the meaning of experiences in practitioners with out-of-school youths were identified as 17 themes and 5 categories. The 5 categories consisted of "School is not amused", "Family is unhappy", "They hide behind pain or excuses", "Let's go together, until it can be found", "We hope the world changed". Based on the findings, we discussed the meaning of experiences in practitioners with out-of-school youths. And lastly, this results made suggestions for the social welfare policies and practices for them.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.11B
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• pp.1738-1747
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• 2010

This report shows the analysis and design of tactical decision automation procedure and the result of core algorithm. Expecially scheme of analysis and design includes result of tactical decision supporting procedure analysis for target engagement to fire in refer to AFATDS. Tactical decision automation procedure has three phases like target analysis, target priority, fire unit decision, fire method and attack method. Target analysis creates base information to decide priorities and attack methods through target activity, size and protection status. Target priority and fire unit decision judge target priority and fire unit with unit status and operation mission basis of target priority. Fire unit and Attack method decide fire style according to the kind of fire and ammunition for effective firing achievement. Finally, we show the effective tactical decision automation procedure through making the algorithm of priority and air control.

• Convergence Security Journal
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• v.23 no.4
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• pp.109-119
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• 2023

C4I system is an integrated battlefield information system that automates the five elements of command, control, communications, computers, and information to efficiently manage the battlefield. C4I systems play an important role in collecting and analyzing enemy positions, situations, and operational results to ensure that all services have the same picture in real time and optimize command decisions and mission orders. However, the current C4I has limitations whenever a new weapon system is introduced, as it only provides battlefield visualization in a single area focusing on the battlefield situation for each military service. In a future battlefield that expands not only to land, sea, and air domains but also to cyber and space domains, improved command and control decisions will be possible if organic data from various weapon systems is gathered to quickly visualize the battlefield situation desired by the user. In this study, the visualization technology applicable to the future C4I system is divided into map area, situation map area, and display area. The technological implementation of this future C4I system is based on various data and communication means such as 5G networks, and is expected to enable hyper-connected battlefield visualization that utilizes a variety of high-quality information to enable realistic and efficient battlefield situation awareness.

• Journal of The Korean Association For Science Education
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• v.38 no.3
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• pp.343-354
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• 2018

In this study, the first experience of the whole research process of a novice scientist (student A) who participated in the Undergraduate Research Program (URP) was analyzed. The data were collected through observation, interviews, and document analysis with the cultural historical activity theory being used as a theoretical lens. At the beginning of novice's research, the mentor guided him in setting a research goal and provided mediating artifacts. Student A formed a research team based on the vertical relationship without a shared mental model. Two major contradictions occurred and they were the sources of changes of student A's activity system. The first contradiction was between the mentor's educational philosophy and the mentee's educational needs, which was resolved in a way that student A asked and used the mentor's network to obtain his needs about task-specific details. The second contradiction arose because the team members wanted horizontal relationship while student A wanted to stick to the vertical relationship. After student A accepted the opinions of the team members, they cooperatively changed the division of labor in the activity system. Student A decided to become a scientist and not a physics teacher, even if his major is physics education after finishing his URP research process. His URP experience also created and expanded his network in the academic field, and his negative attitude toward collaboration changed positively. Through the analysis of the structure and changes in the activity system of URP research, implications for instructional method and support system of the apprenticeship can be obtained.

• The Journal of the Korea Contents Association
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• v.13 no.2
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• pp.277-295
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• 2013

The purpose of the phenomenological study was to explore the meaning of family adjustment process experience according to married immigrant women's perception and to enrich our understanding. In order to accomplish the purpose of research, six married immigrant women participated. Data were collected through in-depth interview. In addition, the data were analyzed by a Colaizzi's phenomenological analysis. The findings showed that the meaning of family adjustment process experience in married immigrant women were identified as 37 themes and 8categories. The 8 categories consisted of "deciding to marry a foreigner", "first meeting and marriage", "starting to living as a korean", "getting along with husband", "becoming a family with in-laws", "playing one's role as a mother", "missing hometown and family", "adjusting to living in Korea". Based on the findings, we discussed the meaning of family adjustment process experience in married immigrant women. And lastly, this results made suggestions for the social welfare policies and practices for them and their families.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.6
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• pp.305-313
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• 2021

The upcoming warfare will be network-centric warfare with the acquiring and sharing of information on the battlefield through the connection of the entire weapon system. Therefore, the amount of information generated increases, but the technology of evaluating the information is insufficient. Threat assessment is a technology that supports a quick decision, but the information has many uncertainties and is difficult to apply to an advanced battlefield. This paper proposes a threat assessment based on artificial intelligence while removing the target uncertainty. The artificial intelligence system used was a fuzzy inference system and a multi-layer perceptron. The target was classified by inputting the unique characteristics of the target into the fuzzy inference system, and the classified target information was input into the multi-layer perceptron to calculate the appropriate threat value. The validity of the proposed technique was verified with the threat value calculated by inputting the uncertain target to the trained artificial neural network.