• The Transactions of the Korean Institute of Electrical Engineers
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• v.40 no.4
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• pp.427-438
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• 1991

An iterative learning control scheme for exact-tracking control and parameter estimation of uncertain robotic system is preented. In the learning control structure, the control input converges globally and asymtotically to the desired input as iteration increases. Since convergence of parameter errors depends only on the persistent exciting condition of system trajectories along the iteration independently of the time-duration of trajectories, it may be achieved with system trajectories with small duration. In addition, the proposd learning control schemes are applicable to time-varying parametric systems as well as time-invariant systems, because the parameter estimation is performed at each fixed time along the iteration. In the parameter estimator, the acceleration information as well as the inversion of estimated inertia matrix are not used at all, which makes the proposed learning control schemes more feasible.

• Proceedings of the Korea Information Processing Society Conference
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• 2024.05a
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• pp.711-714
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• 2024

In the dynamic landscape of modern machine learning, Federated Learning (FL) has emerged as a compelling paradigm designed to enhance privacy by enabling participants to collaboratively train models without sharing their private data. Specifically, Distillation-based Federated Learning, like Federated Learning with Model Distillation (FedMD), Federated Gradient Encryption and Model Sharing (FedGEMS), and Differentially Secure Federated Learning (DS-FL), has arisen as a novel approach aimed at addressing Non-IID data challenges by leveraging Federated Learning. These methods refine the standard FL framework by distilling insights from public dataset predictions, securing data transmissions through gradient encryption, and applying differential privacy to mask individual contributions. Despite these innovations, our survey identifies persistent vulnerabilities, particularly concerning the susceptibility to logit inversion attacks where malicious actors could reconstruct private data from shared public predictions. This exploration reveals that even advanced Distillation-based Federated Learning systems harbor significant privacy risks, challenging the prevailing assumptions about their security and underscoring the need for continued advancements in secure Federated Learning methodologies.

• Clinical and Experimental Pediatrics
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• v.49 no.4
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• pp.341-353
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• 2006

Learning disorders are diagnosed when the individual's achievement on standardized tests in reading, mathematics, or written expression is substantially below that expected for age, schooling, and level of intelligence. Subtypes of learning disorders may be classified into two groups, language-based type learning disorders including reading and writing disorder, and nonverbal type learning disorder (NLD) such as those relating to mathematics & visuospatial skills, and those in the autism spectrum. Converging evidence indicates that reading disorder represents a disorder within the language system and more specifically within a particular subcomponent of that system, phonological processing. Recent advances in neuroimaging technology, particularly the development of fMRI, provide evidences of a neurobiological basis for reading disorder, specifically a disruption of two left hemisphere posterior brain systems, one parieto-temporal, the other occipito-temporal. The former is the reading system for beginner reading, the latter for skilled reading. Compensatory engagement of anterior systems around the inferior frontal gyrus(Broca's area) and a posterior(right occipito-temporal) system is noted in persistent poor readers in long-term follow up study. The theoretical model proposed to explain NLD's source is not right hemisphere damage, but rather the white matter model. The working hypothesis of the white matter model is that the underdevelopment of, damage to, or dysfunction of cerebral white matter(long myelinated fibers) is the source of this disorder. The role of an evidence-based effective intervention in the remediation of children with learning disorder is discussed.

• Journal of Korea Multimedia Society
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• v.19 no.2
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• pp.146-154
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• 2016

This paper presents methods to analyze the topological structures of the spaces composed of patches extracted from waveform signals, which can be applied to the classification of signals. Commute time embedding is performed to transform the patch sets into the corresponding geometries, which has the properties that the embedding geometries of periodic or quasi-periodic waveforms are represented as closed curves on the low dimensional Euclidean space, while those of aperiodic signals have the shape of open curves. Persistent homology is employed to determine the topological invariants of the simplicial complexes constructed by randomly sampling the commute time embedding of the waveforms, which can be used to discriminate between the groups of waveforms topologically.

• Journal of Internet Computing and Services
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• v.9 no.6
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• pp.127-139
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• 2008

The value of up-to-date Mobile PC such as UMPC (Ultra Mobile Personal Computer) is recognized greatly in learning environment that busywork such as characteristic of transfer easy and real time communication possibility etc. and conversation with a colleague student, free sending of studying data and public ownership etc. is required. Wish to recognize whether is acting relevant role in u - unfold learning that inflect UMPC in integration research model, and UMPC is u searching for relevant element at studying activity unfolding process u - integration Inquiry-Based Learning that present in Korean education & research information service (KERIS) at fifth-year student science time In primary school in this research. This research result could take charge role of UMPCs' studying-activity though there is persistent feedback with teacher among studying-activity although UMPC's role is utilized on constituent that can be related with studying-activity in learning process.

• KIPS Transactions on Software and Data Engineering
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• v.10 no.3
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• pp.91-98
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• 2021

Today's information and communication technology is rapidly developing, the security of IT infrastructure is becoming more important, and at the same time, cyber attacks of various forms are becoming more advanced and sophisticated like intelligent persistent attacks (Advanced Persistent Threat). Early defense or prediction of increasingly sophisticated cyber attacks is extremely important, and in many cases, the analysis of network-based intrusion detection systems (NIDS) related data alone cannot prevent rapidly changing cyber attacks. Therefore, we are currently using data generated by intrusion detection systems to protect against cyber attacks described above through Host-based Intrusion Detection System (HIDS) data analysis. In this paper, we conducted a comparative study on machine learning algorithms using LID-DS (Leipzig Intrusion Detection-Data Set) host-based intrusion detection data including thread information, metadata, and buffer data missing from previously used data sets. The algorithms used were Decision Tree, Naive Bayes, MLP (Multi-Layer Perceptron), Logistic Regression, LSTM (Long Short-Term Memory model), and RNN (Recurrent Neural Network). Accuracy, accuracy, recall, F1-Score indicators and error rates were measured for evaluation. As a result, the LSTM algorithm had the highest accuracy.

• The Journal of Korean Academic Society of Nursing Education
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• v.25 no.2
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• pp.173-185
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• 2019

Purpose: This study was conducted to develop and test effects of flipped learning on a health education program for allergic rhinitis patients. Methods: The study was a nonequivalent control group pretest-posttest design, with 38 participants (experimental group: 19, control group: 19). The education program for allergic rhinitis patients with flipped learning developed for this study was conducted in pre-class, in-class, and post-class stages for a total of 12 weeks. For the in-class stage, a TREAT model suitable for patient education program was developed. Data were analyzed with an independent t-test and repeated measures ANOVA. Results: The experimental group showed significant improvement in knowledge (F=15.029, p<.001), self-efficacy (F=6.814, p<.001) and self-care behavior (F=41.761, p<.001). In addition, subjective symptoms (F=61.453, p<.001) and quality of life (F=52.413, p<.001) improved. Conclusion: The results of this study show that flipped learning in an education program is an effective method for those in their twenties persistent moderate-severe allergic rhinitis. Therefore, the education program for allergic rhinitis developed by this study is actively recommended for nurses or health managers at universities to educate subjects in their twenties with allergic rhinitis.

• Journal of Distribution Research
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• v.13 no.4
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• pp.1-19
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• 2008

This study investigated the international transfer of retail know-how via the prism of Learning Organizational Theory. As a case, 7-Eleven, a worldwide chain of convenience stores was examined. Its international transfer of retail know-how occurred when 7-Eleven, originally founded by Southland Corporation in Dallas, Texas, was introduced in Japan in 1973 in the form of 7-Eleven Japan. Our analysis shows that both strategic core learning and adaptive learning played a significant role during the international transfer of retail know-how. Our findings reveal the evidence of the following elements of strategic core learning such as the convenience store concept, the three principles of store management, the minimum profit guarantee system, and the margin-based royalty system. On the other hand, the retailing mix such as store type, store location, store size, and merchandising acted as the acting agents of adaptive learning. The hypothesis verification methods acted as the main methods for adaptive learning. Through the persistent adaptive learning, inimitable innovations could be brought forth. However, the elements of strategic core learning should provide the direction for the adaptive learning.

• Journal of the Korean Chemical Society
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• v.48 no.3
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• pp.291-299
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• 2004

The purpose of this study is to investigate views of high school students' learning of chemistry as one aspect of conceptual ecology. The results of this study will help us expand our understanding of conceptual change as it is used to evaluate learners. I made use of an interpretative research design based on principles of naturalistic inquiry. The participants in this study were six sophomore students. The picture of a chemistry class we draw from analyzing data is a play on stage with little interaction. Students accept passive and difficult-to-modify views of the learner roles that they should play in the chemistry classroom. Students identified chemistry classes as conservative places. 'Transmission' seems to remain the persistent and dominant classroom cultural dynamic for both the teaching and learning of chemistry. Students should understand about learning processes, and how to play, monitor, evaluate and regulate them. Students should experience the plausibility and fruitfulness of learning chemistry, and it will help students to feel a "love of learning chemistry." As students change their views of learning chemistry, it will help to improve their learning and to experience conceptual change in chemistry learning.

• Journal of Gifted/Talented Education
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• v.26 no.2
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• pp.365-387
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• 2016

This study examined the effects of students'perceptions of classroom on self-regulatory strategy use, persistent intention, and achievement in an online Science gifted program. The sample included 434 middle and high school students who participated in the 3-months online gifted program. Participants volunteerly surveyed on their perceptions of classroom (appeal, challenge, choice, meaningfulness, academic self-efficacy), self-regulatory strategy use, and persistent intention. Student achievement data was collected from online learning system. Multiple Regression was conducted to analyze the effect of students'perceptions of classroom on various dependent variables. The results of this study showed that (1) students use of rehearsal strategy was positively related to academic self-efficacy among the sub-variables of students'perceptions of classroom and the use of rehearsal strategy was negatively related to challenge; (2) the use of elaboration strategy was positively related to challenge and meaningfulness; (3) the use of time management strategy was positively related to academic self-efficacy and the use of resource management strategy was positively related to challenge; and (4) students' persistent intention was related to appeal, challenge and meaningfulness, achievement was related to challenge.