13,490 research outputs found
Kim, Youngjun
No full text학위논문(박사)--아주대학교 일반대학원 :심리학과,2015. 2이른바 ‘인지 혁명’으로 일컬어지는 1960년대에 인간의 내적 심리과정이 연구
대상이 된 이래, 수많은 인지 과제들이 연구되었다. 본 연구는 인지 기능을 연구하
기 위해 사용된 인지 과제들을 사용하여 측정한 인지 과정의 개인차를 기반으로
하여 새로운 인지 능력의 요인 구조를 도출하였다. 이를 위해 검사 과제가 설명하
는 개인차에 기반을 둔 Carroll의 위계적 인지 능력 구조 모형과 대학생들에게 요
구되는 역량과 인지 과제들을 게임화한 뇌 훈련 소프트웨어들을 검토하였다.
연구 1에서 공학적 접근으로 개략적인 인지 영역을 정의하였고, 각 영역에 해당
하는 다양한 인지 과제들을 수집하였고, 인지 과정의 개인차를 측정하기 위해 필요
한 측정 모듈을 구축하고 그 모듈을 평가하였다. 또한 모듈을 구서하는 인지 과제
들의 신뢰도를 일반화가능성 이론(generalizability theory)에 근거하여 평가하였
다.
연구 2에서는 인지 측정 모듈의 활용적 가치를 높이기 위한 시도로 인지 과제
의 정확도와 반응시간 측정값과 이 두 측정값을 합친 조합 점수 중에 어느 것이
개인차를 더 잘 나타내는 측정값인지를 비교 평가하였다. 아울러 개인차의 효과크
기를 기준으로 인지 측정 모듈을 비교 평가하였다.
연구 3에서는 인지 측정 모듈의 훈련 효과를 검증하였고, 구축된 인지 측정 모
듈이 측정하는 인지 능력의 의미를 평가하기 위하여 Baddeley의 작업기억 모형과
Carroll의 위계 모형과 비교하였다. 측정된 조합점수를 이용하여 인지 측정 과제의
위계적 요인 구조를 추출하여, 작업기억 모형과 인지 위계 모형과 비교하였다. 또
한 추출된 인지 모형에 기반을 둔 자료로 군집 분석을 실시하여 참가자의 특성을
구분하였다.
마지막으로 측정 과제 선택 절차, 조합 점수, 측정 과제의 요인 모형, 훈련 효
과를 요약하였고, 연구의 의의와 제한점을 논의하였다.I. 서론 1
1. 연구의 필요성 1
2. 연구의 목적과 내용 3
II. 이론적 배경 5
1. 인지 능력(cognitive abilities)과 측정 5
2. 실험에서의 개인차 6
3. 인지 증진(cognitive enhancement)과 윤리적 문제 7
4. 인지 과제로 구성된 인지 증진 프로그램을 개발하기 전에 해결해야 할 문제들 9
1) 인지 능력의 측정을 위한 과제가 인지 증진을 가능하게 하는가 9
2) 증가된 인지의 효과는 지속되는가 9
3) 선택된 인지 과제는 신뢰할 수 있는가 10
III. 연구 1 11
1. 인지 영역의 정의 : 공학적 접근 11
1) 인지는 어떤 개념들로 구성되어 있는가 11
2) 필요한 인지 능력은 무엇인가 12
3) Brain fitness softwares: 인지 증진 프로그램의 사례 12
4) 평가: 인지 영역에 대한 정의는 구체화하기에 적절한가 16
2. 개인차를 잘 나타내는 인지과제는 어떤 것인가 19
1) 인지 과제의 평가 19
3. 실험 1 19
1) 서론 20
2) 방법 20
3) 결과 및 논의 30
4. 실험 2와 3 36
1) 서론 36
2) 방법 37
3) 결과 및 논의 42
5. 일반화 가능성 44
IV. 연구 2 55
1. 정확도와 응답시간 55
2. 점수화 규칙 55
3. 실험 4 59
1) 서론 59
2) 방법 59
3) 결과 및 논의 60
V. 연구 3 64
1. 인지 훈련의 전이 효과와 개인차 64
2. 유동 지능 65
3. 실험 5 66
1) 서론 66
2) 방법 67
3) 결과 69
4) 논의 88
VI. 종합 논의 91
VII. 참고 문헌 93
Abstract 99
부록 101Doctora
The Republic of Korea and 2024 NATO Presidential Summit in Washington DC
No full textDr. Youngjun Kim, Professor of International Politics at Korea National Defense University’s National Security College, explains that the "Yoon administration has branded South Korea a Global Pivot State. Given the foreign policy implication underlying the new slogan, NATO is a crucial partner beyond traditional ROK allies like the United States and Japan."
The views expressed are those of the authors and do not necessarily reflect East-West Center policies or positions
NATO’s New Mission: Keep America in, Russia Down, and China Out
No full textNATO has been taking its lessons from the Euro-Atlantic area to prepare for contingencies in the Indo-Pacific
Author Correction: Evaluation of skin cancer resection guide using hyper‑realistic in‑vitro phantom fabricated by 3D printing
No full textThe original version of this Article contained an error in the spelling of the author Taehun Kim which was incorrectly given as Teahun Kim. The original Article has been corrected
Composite Zero-Effort-Miss Guidance with Predictor–Corrector Steps for Ballistic Interception
No full text<jats:p> In this paper, a midcourse guidance law for exoatmospheric interception using a solid-propellant rocket is presented. Existing guidance laws based on the zero-effort-miss concept lack consideration for remaining thrust, potentially resulting in the excessive magnitude and rate of the thrust direction command. To address this issue, the zero-effort-miss concept is combined with an iterative predictor–corrector-based guidance law that is adapted for solid-propellant rockets. To apply the iterative predictor–corrector-based guidance law to the interception problem with a solid-propellant rocket, a composite zero-effort-miss concept is introduced, and the correction step is formulated as an online convex optimization problem. The composite zero-effort-miss consists of two zero-effort-misses. One miss is obtained from current state and the other miss is obtained from predicted state at burnout. Those render the proposed guidance law robust to thrust uncertainty allow for a noniterative approach and eliminate the singularity problem. Also, the proposed guidance law reduces maneuvering during the early part of the midcourse phase, leading to less velocity loss, and resolves intercept performance degradation due to the rate limit of thrust vectoring. Numerical simulations comparing the proposed method with the modified zero-effort-miss guidance demonstrate its effectiveness and robustness. </jats:p>
ExPDrug: Integration of an interpretable neural network and knowledge graph for pathway-based drug repurposing
No full texthttp://dx.doi.org/10.13039/501100003653 Korea National Institute of Healthhttp://dx.doi.org/10.13039/501100014188 Korea Ministry of Science and IC
Radio frequency cantilever-free scanning probe microscopy
No full textCantilever-free scanning probe microscopy has enormous potential for high-throughput topography imaging using parallel probe arrays. However, the current imaging mechanism of the cantilever-free tip architecture hardly considers the efficiency of the detection method regarding precision and bandwidth, which could be a bottleneck to expanding the application of this measurement system. In this communication, we present a contact resistance-based cantilever-free imaging system using radio frequency (RF) reflectometry. RF reflectometry measurements provide sensitive detection of the contact resistance with a wide bandwidth, enabling sub-micrometer-scale topography imaging. We demonstrated our imaging system using a carbon black-polydimethylsiloxane composite tip with a custom-built RF reflectometry setup. The proof-of-concept system achieved a resolution of 230 nm and a bandwidth of the detection system of approximately 8.5 MHz, validating the feasibility of the imaging technique for potential high-throughput cantilever-free scanning probe microscopy. © 2023 Author(s).11Nsciescopu
ProtoFL: Unsupervised Federated Learning via Prototypical Distillation
No full textFederated learning (FL) is a promising approach for enhancing data privacy
preservation, particularly for authentication systems. However, limited round
communications, scarce representation, and scalability pose significant
challenges to its deployment, hindering its full potential. In this paper, we
propose 'ProtoFL', Prototypical Representation Distillation based unsupervised
Federated Learning to enhance the representation power of a global model and
reduce round communication costs. Additionally, we introduce a local one-class
classifier based on normalizing flows to improve performance with limited data.
Our study represents the first investigation of using FL to improve one-class
classification performance. We conduct extensive experiments on five widely
used benchmarks, namely MNIST, CIFAR-10, CIFAR-100, ImageNet-30, and
Keystroke-Dynamics, to demonstrate the superior performance of our proposed
framework over previous methods in the literature.Comment: Accepted by ICCV 2023. Hansol Kim and Youngjun Kwak contributed
equally to this wor
DBLP-derived labeled data for author name disambiguation
No full textThis is a DBLP-derived labeled data originally created by Dr. C. Lee Giles at Penn State University and filtered for duplicate removal and error correction by Dr. Jinseok Kim at University of Michigan. For more details, see references below.1. Kim, Jinseok (2018). Evaluating author name disambiguation for digital libraries: a case of DBLP. Scientometrics. doi:10.1007/s11192-018-2824-5 2. Kim, Jinseok & Kim, Jenna (2018). The impact of imbalanced training data on machine learning for author name disambiguation. Scientometrics. doi: 10.1007/s11192-018-2865-9Each row refers to an author name instance with following feature information separated by tab.author name: full name string extracted from DBLPunique author id: labels assigned manually by Dr. C. Lee Giles's teampaper id: assigned by Dr. Jinseok Kimauthor list: names of authors in the byline of the paperyear: publication yearvenue: conference or journal namestitle: stopwords removed and stemmed by the Porter's stemmerIf you want to use this dataset, please consider to cite papers below.For the original dataset: Han, H., Giles, L., Zha, H., Li, C., & Tsioutsiouliklis, K. (2004). Two Supervised Learning Approaches for Name Disambiguation in Author Citations. JCDL 2004: Proceedings of the Fourth ACM/IEEE Joint Conference on Digital Libraries, 296-305. doi:10.1145/996350.996419For the filtered dataset: 1. Kim, Jinseok (2018). Evaluating author name disambiguation for digital libraries: a case of DBLP. Scientometrics. doi:10.1007/s11192-018-2824-5 or2. Kim, Jinseok & Kim, Jenna (2018). The impact of imbalanced training data on machine learning for author name disambiguation. Scientometrics. doi: 10.1007/s11192-018-2865-9</div
Solution-Processed Flexible Threshold Switch Devices
No full textFlexible threshold switch devices are essential for low-power and high-speed semiconductor devices. Especially, bidirectional threshold switch has been regarded as the ideal switching device for ultrahigh-density crosspoint memory devices. Here, a flexible Pt/Ag-doped ZnO/Pt switch on the flexible plastic substrate synthesized by electrochemical bottom-up deposition is introduced. The flexible switch has bidirectional threshold switching behavior with ultralow off-current, high selectivity (approximate to 10(7)), and super-steep threshold slope. The bidirectional threshold switching behavior is related to migration of silver ions to form Ag filament. This device shows stable electrical properties, endures constant voltage stress, and retains good reliability under mechanical stress. It is believed that this study would open up new possibilities for high-density flexible memory devices by introducing flexible novel bidirectional, high-performance switching devices for emerging flexible electronics.114sciescopu
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