• 한국정보교육학회:학술대회논문집
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• 한국정보교육학회 2021년도 학술논문집
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• pp.233-237
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• 2021

4차 산업혁명이 도래함에 따라 초등학교 현장에서는 인공지능 교육에 대한 관심이 증가하고 있다. 인공지능 역량을 지닌 미래 인재를 기르기 위해서는 학교 현장에서 인공지능 교육이 적극적으로 이루어져야 한다. 2015 개정 교육과정에서는 기초적인 소프트웨어 교육을 하고 있지만 인공지능을 만들어내는 프로그래밍 과정을 문제해결 과정으로만 보는 경향이 있다. 하지만 하나의 인공지능을 만들 때에는 인공지능을 만드는 개발자의 가치가 투영된다. 따라서 SW교육 시 인공지능 가치 판단에 대한 내용을 다루어야 할 것이다. 본 연구는 전문가 집단을 대상으로 델파이 조사가 이루어진 점에 따라 제한점이 존재한다. 향후 이와 같은 제한점을 보완하기 위해 양적 연구가 진행되어야 할 것으로 판단된다.

• 한국임상약학회지
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• 제34권2호
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• pp.134-139
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• 2024

Background: Increasing numbers of studies and research about artificial intelligence (AI) and machine learning (ML) have led to their application in clinical trials. The purpose of this study is to analyze computer-based new technologies (AI/ML) applied on clinical trials registered on ClinicalTrials.gov to elucidate current usage of these technologies. Methods: As of March 1st, 2023, protocols listed on ClinicalTrials.gov that claimed to use AI/ML and included at least one of the following interventions-Drug, Biological, Dietary Supplement, or Combination Product-were selected. The selected protocols were classified according to their context of use: 1) drug discovery; 2) toxicity prediction; 3) enrichment; 4) risk stratification/management; 5) dose selection/optimization; 6) adherence; 7) synthetic control; 8) endpoint assessment; 9) postmarketing surveillance; and 10) drug selection. Results: The applications of AI/ML were explored in 131 clinical trial protocols. The areas where AI/ML was most frequently utilized in clinical trials included endpoint assessment (n=80), followed by dose selection/optimization (n=15), risk stratification/management (n=13), drug discovery (n=4), adherence (n=4), drug selection (n=1) and enrichment (n=1). Conclusion: The most frequent application of AI/ML in clinical trials is in the fields of endpoint assessment, where the utilization is primarily focuses on the diagnosis of disease by imaging or video analyses. The number of clinical trials using artificial intelligence will increase as the technology continues to develop rapidly, making it necessary for regulatory associates to establish proper regulations for these clinical trials.

• 한국항행학회논문지
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• 제25권1호
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• pp.115-123
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• 2021

잣은 우리나라 대표적인 견과류 임산물이자 수익형 작물이다. 그러나 잣송이는 사람이 직접 나무 위로 올라가 수확하기 때문에 위험성이 높다. 이러한 문제를 해결하기 위해서 로봇 또는 UAV(unmanned aerial vehicle)를 이용한 잣송이 수확이 필요하다. 본 논문에서는 UAV를 이용한 잣송이 수확을 위해 UAV 항공 영상에서 딥러닝(deep learning) 기반의 잣송이 검출 기법을 제안한다. 이를 위해, UAV를 이용하여 실제 잣나무 숲에서 동영상을 촬영했으며, 적은 수의 데이터 보완을 위해 데이터 증강기법을 사용했다. 3D 검출을 위한 데이터로는 Unity3D을 이용하여 가상 잣송이 및 가상환경을 3D 모델링 하였으며 라벨링은 좌표계의 3차원 변환법을 이용해 구축했다. 잣 분포 영역 검출, 잣 객체에 대한 2D 및 3D 검출을 위한 딥러닝 알고리즘은 DeepLabV3, YOLOv4, CenterNet을 각각 이용하였다. 실험 결과, 잣송이 분포 영역 검출률은 82.15%, 2D 검출률은 86.93%, 3D 검출률은 59.45%이었다.

• 지구물리와물리탐사
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• 제25권4호
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• pp.227-241
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• 2022

전파형 역산은 석유가스 탐사를 위한 탄성파 자료처리 분야에서 지층의 속도 모델을 추정하는데 사용되는 역산 기법이다. 최근 탄성파 자료처리에 딥러닝 기술의 활용이 급격하게 증가하고 있는데, 전파형 역산 기술도 마찬가지로 다양한 연구가 이루어지고 있다. 초기에는 머신러닝 기술을 활용한 자료처리 기법이 전파형 역산을 위한 입력자료의 전처리 목적으로 활용되는 수준이었으나, 딥러닝 기술을 통해 전파형 역산을 직접적으로 구현하는 연구가 등장하기 시작하였다. 딥러닝 기술을 활용한 전파형 역산은 순수 데이터 기반 접근법, 물리 기반 신경망 활용법, 인코더-디코더 구조 활용법, 신경망 재매개변수화를 이용한 구현법, 물리정보 기반 신경망 기법 등으로 구분할 수 있다. 이 논문에서는 딥러닝 기반 전파형 역산 기법을 발전 과정 순서로 체계화하여 각각의 접근법에 대한 이론과 특징을 설명하였다. 전파형 역산 기술에 딥러닝 기법을 도입한 초기에는 데이터 과학의 기본 원리에 충실하게 대량의 학습자료를 준비하고 순수 데이터 기반 예측 모델을 적용하여 속도 모델을 역산하는 연구로 시작하였다. 최근 연구 동향은 탄성파 자료의 잔차나 파동방정식 자체의 물리정보를 심층 신경망에 활용하여 순수 데이터 기반 접근법의 단점을 보완해 나가는 방향으로 진행되고 있다. 이러한 발전으로 대량의 학습자료가 필요하지 않고, 전파형 역산의 태생적 한계점인 주기 놓침 현상을 완화하며 계산 시간을 획기적으로 줄일 수 있는 딥러닝 기반 전파형 역산 기술이 등장하고 있다. 딥러닝 기술의 도입으로 전파형 역산 기술은 탄성파 자료처리 분야에서 가치가 더 높아질 것으로 생각된다.

• 한국수학교육학회지시리즈C:초등수학교육
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• 제26권4호
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• pp.299-316
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• 2023

본 연구는 교육에서 인공지능 활용의 중요성과 필요성이 제기됨에 따라 수학교육에서 인공지능 활용에 대한 초등 교사들의 인식을 탐색하는 것을 목적으로 한다. 이를 위하여 초등 교사 161명을 대상으로 인공지능과 수학교육에 대한 태도 및 수학 교수, 학습, 평가 도구로서 인공지능 활용에 대한 인식을 5점 Likert 척도를 활용하여 분석하였다. 연구 결과, 초등 교사들은 전반적으로 수학의 교수, 학습, 평가를 위한 도구로 AI를 활용하는 데에 긍정적인 인식을 드러냈다. 특히, AI를 활용한 수학교육은 맞춤형 개별 교수 학습, 선수 학습 보충, 평가 결과 분석에 도움이 될 것이며 인공지능이 교사의 역할을 대체할 수 없다는 데에 강한 긍정을 드러냈다. 한편, 초등 교사들은 인공지능을 활용한 수학 수업에 대한 자신감이나 준비에서는 상대적으로 낮은 인식을 드러냈는데, 이는 인공지능과 관련된 수학 수업의 실행이나 연수 이수의 여부에 따라 유의한 차이를 드러냈다. 본 연구의 결과를 바탕으로 수학 교육에서 인공지능을 효과적으로 활용하기 위한 교사의 역할 및 교사들에게 필요한 지원에 대한 시사점을 논의하였다.

• 한국초등과학교육학회지:초등과학교육
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• 제32권3호
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• pp.315-326
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• 2013

In this study, we investigated elementary school teachers' and students' perceptions of the reading materials in science textbooks. Participants were 181 teachers from 23 elementary schools who were teaching science and 643 third- to sixth-grade students from 12 elementary schools. A questionnaire for teachers consisted of 18 items and a questionnaire for students consisted of 11 items about their perceptions of the reading materials in science textbooks. Nine to twelve items, according to grades, examining the actual uses of each reading material in science textbooks were also included to both questionnaires. The results indicated that teachers have positive perceptions about reading materials and frequently use them in case of needs for supplement and/or enrichment of science learning. Novice teachers were found to have less positive perceptions about reading materials than expert teachers. Over 70 percent of students responded that they read all reading materials. Fifth- and sixth-grade students were tended to have less positive perceptions about reading materials than third-grade students. Finally, students tended to have more positive perceptions about reading materials than their teachers.

• Clinical and Experimental Pediatrics
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• 제51권9호
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• pp.922-934
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• 2008

Developmental language disorder is the most common developmental disability in childhood, occurring in 5-8% of preschool children. Children learn language in early childhood, and later they use language to learn. Children with language disorders are at increased risk for difficulties with reading and written language when they enter school. These problems often persist through adolescence or adulthood. Early intervention may prevent the more serious consequences of later academic problems, including learning disabilities. A child's performance in specific speech and language areas, such as phonological ability, vocabulary comprehension, and grammatical usage, is measured objectively using the most recently standardized, norm-referenced tests for a particular age group. Observation and qualitative analysis of a child's performance supplement objective test results are essential for making a diagnosis and devising a treatment plan. Emphasis on the team approach system in the evaluation of children with speech and language impairments has been increasing. Evidence-based therapeutic interventions with short-term, long-term, and functional outcome goals should be applied, because there are many examples of controversial practices that have not been validated in large, controlled trials. Following treatment intervention, periodic follow-up monitoring by a doctor is also important. In addition, a systematized national health policy for children with speech and language disorders should be provided.

• 제어로봇시스템학회논문지
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• 제20권1호
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• pp.78-86
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• 2014

This paper proposes a method of tracking an object for a person-following mobile robot by combining a monocular camera and a laser scanner, where each sensor can supplement the weaknesses of the other sensor. For human-robot interaction, a mobile robot needs to maintain a distance between a moving person and itself. Maintaining distance consists of two parts: object tracking and person-following. Object tracking consists of particle filtering and online learning using shape features which are extracted from an image. A monocular camera easily fails to track a person due to a narrow field-of-view and influence of illumination changes, and has therefore been used together with a laser scanner. After constructing the geometric relation between the differently oriented sensors, the proposed method demonstrates its robustness in tracking and following a person with a success rate of 94.7% in indoor environments with varying lighting conditions and even when a moving object is located between the robot and the person.

• 대한지역사회영양학회지
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• 제9권4호
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• pp.511-518
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• 2004

This study was designed to compare general characteristics and dietary habits between volunteers for a nutrition survey and non-volunteers using a questionnaire. Volunteers were recruited by advertising on the homepage of a university to assess nutritional status by examining dietary intake for three days and blood analysis. Non-volunteers were selected from some classes not related to nutrition. There were no significant differences in sex, monthly allowances, eating-out cost, drinking and exercise between the two groups, while the proportion of self-boarding was higher in the volunteer group than in the non-volunteer group, and smoking rate of volunteers was approximately 2.4 times lower than that of non-volunteers. Volunteers were less concerned about their diet than non-volunteers. No significant differences in concern about health, considering factors in their diet, self-evaluation of their diet, learning experience about nutrition, and vitamin/mineral supplement use were observed. The frequency and the place of eating-out for dinner were significantly different between the two groups. More proportions of volunteers tended to eat regularly and eat breakfast. Volunteers consumed seaweeds more frequently, and milk, fruits and fast foods less frequently than non-volunteers. Our results indicate that some characteristics and dietary habits of volunteers are different from those of non-volunteers. However, we could not show that volunteers were more interested in their diet and had desirable dietary habits than non-volunteers. Further research on the characteristics of volunteers who participate in nutrition survey may be helpful to interpret and generalize the survey results.

• 경영과정보연구
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• 제4권
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• pp.409-441
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• 2000

The purpose of this study is to present the problem of the introduction and management and the method of activation of the team organization in college administrative systems through the theoretical study about the team systems and the actual proof study already introduced and operated in colleges and enterprises. The scopes of the subject of theoretical study are the concept of team systems, the type of systems, the strategy of introduction and management, the problem of management and the tactics of activation. The scopes of the theoretical study are the field of systematic structure and that of introduction and management. In order to activate the team organization of college administrative systems, we must study three points such as empowerment, construction of learning team and the method of personal management. For the sake of conducting the team organization efficiently, we must consider four fields. They are as follows: First, considering the continual efforts for reorganization is the most important precondition. Second, the device of supplement related with introduction of systems such as evaluation of merits, promotion and budget must be prepared as soon as possible. Third, in order to introduce the systems, the improvement of systems is needed. Fourth, it must be accompanied by redesigning the whole business process. Especially, in the introduction of team organization, it is important above all to introduce suitable constitution or situation of business. And making a constant effort and preparation for solving problems is essential to successful management of team organization.