• (The) Korean Journal of Educational Psychology
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• v.32 no.3
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• pp.421-442
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• 2018

This study aimed to explore the constructs of the characteristics of at-risk learners with diverse educational needs in the blind spots of education, in order to understand them comprehensively and detect them early in schools. Participants were 156 elementary, middle, and high school teachers who filled out a semi-structured questionnaire consisting of open questions about their implicit knowledge of the characteristics of at-risk learners in the blind spots of education. Qualitative data were analyzed using a modified consensual qualitative research method. The main findings of this study are as follows. First, five domains and 16 categories were derived as the main constructs of the characteristics of learners in the blind spots of education. Second, the most listed of the five domains was the "domain of low learning and cognition," whereas the least listed domain was the "everyday life domain." Finally, deficiencies of interpersonal skills and interactive communications and categories related to family structure and functions frequently appeared among the 16 categories. Based on these results, implications and potentials for follow-up studies were further discussed.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.5
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• pp.1929-1950
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• 2020

Reliable and secure data transmission in the application environment assisted by the wireless sensor network is one of the major challenges. Problem like blind forwarding and data inaccessibility affect the efficiency of overall infrastructure performance. This paper proposes routing protocol for forwarding and error recovery during packet loss. The same is achieved by energy and hops distance-based formulation of the routing mechanism. The reachability of the intermediate node to the source node is the major factor that helps in improving the lifetime of the network. On the other hand, intelligent hop selection increases the reliability over continuous data transmission. The number of hop count is factor of hop weight and available energy of the node. The comparison over the previous state of the art using QualNet-7.4 network simulator shows the effectiveness of proposed work in terms of overall energy conservation of network and reliable data delivery. The simulation results also show the elimination of blind forwarding and data inaccessibility.

• 대한예방의학회:학술대회논문집
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• 2000.10a
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• pp.126-127
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• 2000

• Proceedings of the Korean Information Science Society Conference
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• 1998.10c
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• pp.336-338
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• 1998

This paper presents a novel neural network structure to the blind deconvolution task where the input (source) to a system is not available and the source has any type of distribution including sparse distribution. We employ multiple sensors so that spatial information plays a important role. The resulting learning algorithm is linear so that it works for both sub-and super-Gaussian source. Moreover, we can successfully deconvolve the mixture of a sparse source, while most existing algorithms [5] have difficulties in this task. Computer simulations confirm the validity and high performance of the proposed algorithm.

• Clinical Nutrition Research
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• v.11 no.2
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• pp.98-109
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• 2022

Irritable bowel syndrome (IBS) is a common disorder that affects the large intestine. Oxidative stress and inflammation play a major role in IBS. Considering the antioxidant properties of ellagic acid (EA), this study was designed to evaluate the effect of EA on oxidative stress index, inflammatory markers, and quality of life in patients with IBS. This research was conducted as a randomized, double-blind, placebo-controlled clinical trial; 44 patients with IBS were recruited. Patients who met the inclusion criteria were randomly allocated to consume a capsule containing 180 mg of EA per day (n = 22) or a placebo (n = 22) for 8 weeks. Serum levels of total antioxidant capacity (TAC), malondialdehyde (MDA), C-reactive protein (CRP), and interleukin-6 (IL-6) were measured at the beginning and the end of the study. Also, quality of life was assessed using a self-report questionnaire for IBS patients (IBS-QOL). At the end of the study, we saw a significant decrease and increase in the MDA and TAC in the intervention group, respectively (p < 0.05). Also, EA consumption reduced CRP and IL-6 levels, and these changes were significant in comparison with placebo group changes (p < 0.05). The overall score of IBS-QOL significantly decreased, and quality of life was increased (p < 0.05), but there were no significant changes in the placebo group. According to these findings, receiving polyphenols, such as EA, may help maintain intestinal health by modulating inflammation and oxidative stress and ultimately improving the quality of life in IBS patients.

• Proceedings of the Korean Society of Computer Information Conference
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• 2024.01a
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• pp.257-258
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• 2024

현재 시각장애인들이 현금을 사용하게 될 시 지폐가 얼마인지 확인할 방법이 없어 불편을 겪거나 금전적 사기를 당할 위험이 잦다. 한국은행에서는 이러한 사고를 막기 위해 점자 지폐를 만들어 발부하고 있지만 시각장애인 91%가 식별하지 못해 많은 불편을 겪고 있다. 본 논문에서는 딥러닝을 활용하여 화폐를 인식하고 TTS 기술을 사용하여 지폐의 값이 얼마인지 소리로 알려주는 시스템을 개발하였다. 지폐 인식을 위해 데이터를 직접 수집하여 YOLOv5 알고리즘을 활용하여 학습시킨 Weights 파일을 사용하였다. 이를 활용하여 시각장애인들은 더 안전하게 현금을 사용하고, 금전적인 문제를 예방할 수 있다.

• Annual Conference of KIPS
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• 2009.11a
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• pp.81-82
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• 2009

본 논문에서는 시각장애인 길 안내 시스템과 같은 다수의 센서를 제어하는 시스템에서 효율적인 디바이스 제어를 위한 쓰레드 구조를 제안한다. 시각장애인의 길안내를 위해 초음파, 적외선 센서, 카메라, GPS, 지자기 센서, 3축 가속도 센서가 사용되며, 이를 효율적으로 제어하기 위해서 각 디바이스마다 각각 쓰레드를 별도로 두며, 뮤텍스 세마포어를 활용해서, 하나의 Zigbee 채널을 공유하기 위한 쓰레드 동기화 기법이 적용된다.

• Journal of Periodontal and Implant Science
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• v.24 no.1
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• pp.196-204
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• 1994

The purpose of this clinical trial was to study the effectiveness of 5% potassium nitrate dentifrice as a daily home treatment of dentinal hypersensitivity. Thirty subjects with dentinal hypersensitivity were included in a 4-week, double-blind, parallel, comparative study. Stimuli used included mechanical, cold water and compressed air blasts. A subjective assessment of the degree of hypersensitivity for each stimulus was recorded. The results indicated that 5% potassium nitrate dentifrice, in comparision with a conventional fluoride dentifrice, reduced dentinal hypersensitivity to a significant degree. The therapeutic response to potassium nitrate was apparent within 2 weeks and increased continuously for the length of the study period. We conclude that 5% potassium nitrate dentifrice is an effective agent for the daily home treatment of dentinal hypersensitivity.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.5
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• pp.2628-2645
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• 2017

This paper proposes a new offline electronic payment (e-payment) system that satisfies the major security requirements of e-payment, i.e. anonymity, unlinkability, unforgeability, double spending control, conditional traceability, and fraud prevention. The central idea is the use of Hwang et al.'s RSA-based untraceable blind signature (BS), which disables the link between the e-coin and its owner and ensures the anonymity of both the customer and the merchant. It attaches an expiration, a deposit and the transaction dates to each e-coin in order to manage the database of the bank effectively, to correctly calculate the interest on the e-coin and to aid arbitration if a dishonest customer attempts to double-spend the coin. It also ensures the anonymity of the customer as long as the coin is spent legitimately. Only when a fraudulent e-coin transaction is detected can the bank, with the help of the central authority (a trusted entity), determine the identity of the dishonest customer. The system is referred to as offline since the bank does not need to be concurrently involved in transactions between a customer and a merchant. Finally, analyses of the performance of the prototype and the primary security requirements of the proposed system are also presented.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.3
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• pp.853-873
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• 2021

In recent years, deep reinforcement learning (DRL) models are enjoying great interest as their success in a variety of challenging tasks. Deep Q-Network (DQN) is a widely used deep reinforcement learning model, which trains an intelligent agent that executes optimal actions while interacting with an environment. This model is well known for its ability to surpass skilled human players across many Atari 2600 games. Although DQN has achieved excellent performance in practice, there lacks a clear understanding of why the model works. In this paper, we present a visual analytics system for understanding deep Q-network in a non-blind matter. Based on the stored data generated from the training and testing process, four coordinated views are designed to expose the internal execution mechanism of DQN from different perspectives. We report the system performance and demonstrate its effectiveness through two case studies. By using our system, users can learn the relationship between states and Q-values, the function of convolutional layers, the strategies learned by DQN and the rationality of decisions made by the agent.