• The Journal of Korean Academy of Sensory Integration
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• v.13 no.2
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• pp.43-51
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• 2015

Objective : The purpose of this study was to investigate the correlation between smartphone addiction, sensory processing features and self-efficacy in college students. Methods : From June to August in 2015, a hundred eighty three healthy college students were completed the questionnaire for smartphone addiction (S-scale), sensory processing feature (Adolescent/ Adult Sensory Profile), and self-efficacy (Self-Efficacy Scale) and correlation analyses were applied. Results : There were significant differences on sensory registration and sensory sensitivity in sensory processing features between the addiction group and the non-addiction group. Significant correlations were found between smartphone addiction and sensory seeking, and smartphone addiction and self-efficacy. Conclusion : This study showed smartphone addiction had relationships with high sensory seeking and low self-efficacy. Thus, more studies and interventions focused on preventing smartphone addiction are required for college students.

• Journal of Internet Computing and Services
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• v.22 no.6
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• pp.141-150
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• 2021

Based on Artificial Intelligence technology, AI-enabled warfare is expected to become the main issue in the future warfare. Natural language processing technology is a core technology of AI technology, and it can significantly contribute to reducing the information burden of underrstanidng reports, information objects and intelligences written in natural language by commanders and staff. In this paper, we propose a Language model-based Multi-source Information Integration (LAMII) framework to reduce the information overload of commanders and support rapid decision-making. The proposed LAMII framework consists of the key steps of representation learning based on language models in self-supervsied way and document integration using autoencoders. In the first step, representation learning that can identify the similar relationship between two heterogeneous sentences is performed using the self-supervised learning technique. In the second step, using the learned model, documents that implies similar contents or topics from multiple sources are found and integrated. At this time, the autoencoder is used to measure the information redundancy of the sentences in order to remove the duplicate sentences. In order to prove the superiority of this paper, we conducted comparison experiments using the language models and the benchmark sets used to evaluate their performance. As a result of the experiment, it was demonstrated that the proposed LAMII framework can effectively predict the similar relationship between heterogeneous sentence compared to other language models.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.18 no.11
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• pp.1111-1117
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• 2008

During the dynamic analysis of a system, the Coulomb friction law is emploved to calculate the friction force. Since the static friction coefficient is only employed during the zero relative velocity, it is impractical to employ the coefficient during the dynamic analysis. To calculate the static friction force, therefore, some friction models have been developed. In this study, the integration stability and the accuracy of the models are investigated with some numerical examples. The effect of time step size during the numerical integration is also investigated. The numerical study shows that the friction model employed for most commercial codes is not as good as the one proposed in this study.

• The Journal of Korean Academy of Sensory Integration
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• v.17 no.1
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• pp.30-42
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• 2019

Objective : The purpose of this study is to analyze non-medication interventions for self-injurious behavior of individuals with autism spectrum disorders, using a systematic review, and to provide evidence of appropriate services for individuals with autism spectrum disorders with self-injury behaviors in the clinical practice of occupational therapy. Methods : Using the electronic databases PubMed, Medline (ProQuest), DBpia, RISS, KISS, and NDSL, we searched for articles published in Korean and international journals from December 2004 to November 2018. The main search term were "Autism OR Autism Spectrum Disorder AND Therapy OR Treatment Or Intervention AND Self Injurious Behavior." Qualitative analysis was performed, and the results are presented in the PICO format. Results : A total of 12 articles were selected. The quality of the evidence was highest in level IV and level V. Single studies with an experimental design were the most common. Behavior therapy was the most common type of intervention. The next most common interventions were behavioral therapy, brain stimulation and control, and sensory integration therapy with behavioral therapy. The self-injury behaviors of individuals autism spectrum disorders were decreased, and was statistically significant. Conclusion : This study investigated the use of non-medication interventions for children with autism spectrum disorders who showed self-injury behavior. Future research should use higher-level designs, and investigate differences between various non-medication interventions.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.7
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• pp.4586-4594
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• 2015

This study investigated the relationship between self-esteem and the maladaptive behavior of the youth and examined the moderating effects of father attachment and mother attachment in the relationship of self-esteem and maladaptive behavior. Utilizing SPSS win18.0 program for data analysis, after carrying out descriptive statistics analysis and a simple correlation analysis, hierarchical multiple regression analysis was performed to investigate the interaction model, the primary purpose of this study. The results of this study are as follows. First, the relationship of both self-esteem and maladaptive behaviors of adolescents was significant in the negative direction. Second, father attachment showed no moderation effect in the relationship between self-esteem and maladaptive behavior of adolescents. Third, mother attachment played a quantitative moderating role in the relationship of self-esteem and maladaptive behaviors of adolescents. This study suggested the implication to reduce youth maladaptive behavior in the base of these results.

• Journal of Korean Academy of Nursing
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• v.49 no.1
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• pp.92-103
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• 2019

Purpose: This study aimed to compare the effects of simulation integrated with problem based learning (S-PBL) according to the sequences of problem-based learning (PBL) and high fidelity simulation training (HFS) on knowledge, clinical performance, clinical judgment, self-confidence, and satisfaction in fourth-grade nursing students. Methods: In this randomized crossover design study, four S-PBLs on medical-surgical nursing were applied alternatively to two randomly-assigned groups of 26 senior nursing students for 8 weeks. The collected data were analyzed using an independent t-test. Results: The method of administering PBL prior to HFS led to significantly higher scores on knowledge (t=2.28, p=.025) as compared to the method of administering HFS prior to PBL. However, the latter method led to significantly higher scores on clinical performance (t=-6.49, p<.001) and clinical judgment (t=-4.71, p<.001) as compared to the method of administering PBL prior to HFS. There were no differences in the effect of the two methods on self-confidence (t=1.53, p=.128) and satisfaction (t=1.28, p=.202). Conclusion: The integration sequences of S-PBL was associated with different learning outcomes. Therefore, when implementing S-PBL, it is necessary to consider the educational goal to executes an appropriate sequence of integration.

• The Korean Journal of Food & Health Convergence
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• v.7 no.6
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• pp.9-16
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• 2021

There are two forms of medicine that have existed over time and are important in the delivery of expert health care. The forms of medicine are traditional and modern medicine. This study was aimed at assessing the awareness and perspective on the use and integration of traditional and modern medicine in a rural area of Sokoto State, Nigeria. Two hundred and seventy-one (271) respondents were recruited and a self-administered questionnaire on the awareness and perspective on use and integration of traditional and modern medicine was used to assess the participant's view. Among the participants, 200(73.8%) were females. The mean±SD age of respondents was 30.55±9.73 years. 80.8% of the respondents were aware of traditional medicine while 100% were aware of modern medicine. All respondents prefer modern medicine but about 28.8% support integration of both healthcare services. The results were considered significant when p-value was less than 0.005. There is a statistically significant relationship between the integration of traditional and modern forms of medicine and age, gender, religion, education, ethnicity and occupation but not for marital status. Though all the respondents preferred modern medicine to traditional medicine, some people still feel it will be good to combine both for a better healthcare system.

• JSTS:Journal of Semiconductor Technology and Science
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• v.1 no.1
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• pp.20-30
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• 2001

A 1.8V $650{\;}\textrm{mm}^2$ 4Gb DRAM having $0.10{\;}\mu\textrm{m}^2$ cell size has been successfully developed using 0.11 $\mu\textrm{m}$DRAM technology. Considering manufactur-ability, we have focused on developing patterning technology using KrF lithography that makes $0.11{\;}\mu\textrm{m}$ DRAM technology possible. Furthermore, we developed novel DRAM technologies, which will have strong influence on the future DRAM integration. These are novel oxide gap-filling, W-bit line with stud contact for borderless metal contact, line-type storage node self-aligned contact (SAC), mechanically stable metal-insulator-silicon (MIS) capacitor and CVD Al process for metal inter-connections. In addition, 80 nm array transistor and sub-80 nm memory cell contact are also developed for high functional yield as well as chip performance. Many issues which large sized chip often faces are solved by novel design approaches such as skew minimizing technique, gain control pre-sensing scheme and bit line calibration scheme.

• International journal of advanced smart convergence
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• v.6 no.2
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• pp.1-8
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• 2017

Recently, the development of the information communication industry has made many changes in the industrial acoustic industry. Especially, it has a great influence on the change of system and equipment of acoustic system. Analog equipment is changing to digital equipment, and integrated control equipment makes it easier to operate and manage the sound system. However, the integrated control system currently on the market is only controllable for some devices. In this paper, we propose a new AoIP - based system configuration method, which enables the operation status monitoring, unmanned operation and self - diagnosis of equipment. As a result of the study, it is confirmed that the proposed system can be operated, monitored, and self - diagnosed at remote sites. It is expected that an AoIP- based sound system will be the industry standard in the future.

• Asia Marketing Journal
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• v.25 no.4
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• pp.173-193
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• 2024

This study adopts organismic integration theory (OIT) to classify and contrast the predominant roles of five motivations (i.e., economic incentives, self-presentation, information acquisition, altruism, and enjoyment) in fostering three levels of behavioral engagement on brand-related social media content. This study further examines the moderating effect of personality (thinkers vs. feelers) on these relationships. The results of PLS-SEM reveal the greater impact of autonomous motivations on content consumption (enjoyment and information acquisition) and content contribution and creation (altruism and information acquisition), compared with controlled motivations (self-presentation and economic incentives). This study also finds that thinkers mostly engage on brand-related content for information acquisition and economic incentives, whereas feelers are mostly driven by enjoyment for content consumption and by altruism for content contribution and creation. This study addresses the inconsistency in prior research findings and provides practical implications to social media marketers.