• Journal of agricultural medicine and community health
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• v.45 no.3
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• pp.121-129
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• 2020

Purpose: As dementia progresses, cognitive function decreasing leads to memory loss, speech degradation, time and space degradation and judgment degradation, which causes difficulties in carrying out tasks related to daily life. It was said that community-based non-drug intervention therapy for early dementia patients was important to participate in entertainment treatment, including activities such as awareness and exercise therapy, exercise rehabilitation, aerobic exercise, and art. Methods: This study conducted 15 experimental and 15 control groups(experimental group : Fumanet exercise, control group : general occupational therapy) for eight weeks at the Daycare Center in Gyeonggi-do to find out the impact of the Fumanet exercise program on cognitive and depression functions of the elderly. The pre-post evaluation used KGDS, MMSE. Results: There were significant differences between the two groups in the function of menopause, memory recall, attention concentration and calculation, and depression, and no significant results were obtatined in memory registration, language function, understanding and fracture. The Fumanet movement was judged to be effective in improving cognitive function and reducing depression for the elderly with dementia. Conclisions: The Fumanet movement was judged to be effective in improving cognitive function and reducing depression for the elderly with dementia.

• Science of Emotion and Sensibility
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• v.20 no.4
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• pp.41-54
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• 2017

Physical activity has positive effects on cognitive functions by aging. However, it is rare to find research that have scientifically investigated the effects on the affective-cognitive function. Thus, this study aims to brain-scientifically research its effects of physical activity on the affective-cognitive function of adults in adolescence and senescence. As subjects of this study, a total of 60 males adults in D region were selected, and then equally divided into four groups of young exercise group(25~35y/o), young non-exercise group(26~35y/o), old exercise group(60~70y/o), and old non-exercise group(60~70y/o). As experiment tools, the EEG measuring equipment and International Affective Picture System(IAPS) were used. The experiment of this study used an affective-cognitive task where subjects pressed a button depending on emotional valence(positive, neutral, negative) shown in the pictures. During the task, EEG measured eight areas(Fp1, Fp2, Fz, C3, C4, Cz, T3, T4) out of brain areas in accordance with the international 10-20 electrode system, EEG was measured. For statistical analysis, a three-way ANOVA on $4(group){\times}3(stimulus){\times}8(area)$ was conducted. The results showed main effects of group in both reaction time and accuracy, and also in the latency of P3. And there was an interaction between group and stimulus the amplitude of P3. In conclusion, Physical activity has positive effects on the affective-cognitive function of people in adolescence and senescence.

• 한국노년학
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• v.38 no.1
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• pp.27-45
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• 2018

The purpose of this study was to identify between the successful aging-related predictive factors and the successful aging in the middle aged office. The predictive factors of successful aging such as subjective health condition, cognitive functions, self-esteem, and social support were confirmed by the existing literature. The population of the study was the middle aged office employees, who are generally defined an age group from 40 to 60. The sample of this study was targeted to employees working at companies registered to securities, KSDAQ, and KONEX in Korea. SPSS WIN 23.0 and AMOS 21.0, and M-plus 6.12 were used for the data analysis. The findings of this study were presented below. First, the result of the structural relationship between the predictive factors of successful aging (subjective health condition, cognitive function, self-esteem, and social support) and successful aging was appropriate as RMSEA=.059, TLI=.932, CFI=.944. Second, subjective health condition and social support were significant variables for successful aging but cognitive function and self-esteem were not significant. Third, social support, which is a social factor, was the most influential among other variables. Based on the results, theoretical and practical implications were presented.

• Sleep Medicine and Psychophysiology
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• v.25 no.2
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• pp.58-67
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• 2018

Objectives: The purpose of this pilot study was to examine the effects of a mindfulness-based Body-Mind Intervention Program using marine resources on the improvement of quality of sleep, mood symptoms, and cognitive function in Korean female emotional labor workers. Methods: Twelve female workers who experienced excess emotional labor participated at the training camp program for five days in Danghangpo-ocean park, Goseung-gun, Gyeongnam Province in South Korea. Participant sleep quality, mood symptoms, and cognitive functioning before, after, and 1.5 months later were evaluated and analyzed. Results: After participating in the marine resource program, participants reported significantly decreased sleep latency. Global sleep quality, cognitive functions (attention, flexibility, and inhibition control), and mood states, including depression, tension, anger, fatigue, were also improved. These effects were generally maintained after 1. 5 months (PSQI t = 2.63, p = 0.02 ; HAM-D t = 5.92, p < 0.001). Conclusion: A Body-Mind Intervention Program using marine resources was effective in relaxing emotion-related tension and improving cognitive function. To advance this pilot study, it is necessary to carry out further research to investigate the use of marine resources in mental health interventions.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.7
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• pp.119-126
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• 2019

This study was conducted to investigate the effects of task oriented training on motor and cognitive function recovery in rats with induced Alzheimer's dementia. Thirty Sprague-Dawley rats were randomly assigned to a control group (n=15) and an experimental group (n=15). Training was given three times a week, for 20 minutes a session for 4 weeks. The cognitive and motor functions of the rats were evaluated by an eight arm radial maze test and ladder rung walk test. The eight arm radial maze test showed significant differences between groups according to the time of day 14 and 28 (p<.001). The difference in measured values according to the timing of the two groups was significant (p<.001). Additionally, there was a significant difference between the time and the group interaction (p<.001). The ladder rung walk test showed significant differences between groups according to the time of day 14 and 28 (p<.001). The difference in the measured values according to the timing of the two groups was significant (p<.001), and there was a significant difference between the time and the group interaction (p<.001). As a result, task oriented training for Alzheimer's dementia rats was found to have a positive effect on recovery of motor and cognitive function.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.20 no.1
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• pp.174-192
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• 2021

The LIDAR sensor, which provides higher cognitive performance than cameras and radar, is difficult to apply to ADAS or autonomous driving because of its high price. On the other hand, as the price is decreasing rapidly, expectations are rising to improve existing autonomous driving functions by taking advantage of the LIDAR sensor. In level 3 autonomous vehicles, when a dangerous situation in the cognitive module occurs due to a sensor defect or sensor limit, the driver must take control of the vehicle for manual driving. If the driver does not respond to the request, the system must automatically kick in and implement a minimum risk maneuver to maintain the risk within a tolerable level. In this study, based on this background, a LIDAR-based LKS MRM algorithm was developed for the case when the normal operation of LKS was not possible due to troubles in the cognitive system. From point cloud data collected by LIDAR, the algorithm generates the trajectory of the vehicle in front through object clustering and converts it to the target waypoints of its own. Hence, if the camera-based LKS is not operating normally, LIDAR-based path tracking control is performed as MRM. The HAZOP method was used to identify the risk sources in the LKS cognitive systems. B, and based on this, test scenarios were derived and used in the validation process by simulation. The simulation results indicated that the LIDAR-based LKS MRM algorithm of this study prevents lane departure in dangerous situations caused by various problems or difficulties in the LKS cognitive systems and could prevent possible traffic accidents.

• 한국노년학
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• v.40 no.3
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• pp.429-442
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• 2020

The purpose of this research was to examine changes in the physical fitness, activities of daily living performance, and cognitive status of the frail elderly by combined exercise programs. The combined exercise program consisted of an aerobic exercise for the elderly and a four-color ladder exercise for improving of cognitive ability and physical fitness. Twenty-one frail elderly participated in this study, they were divided into 12 exercise groups and nine control groups. The exercise group conducted the combined exercise program of 60 minutes, twice a week, for10 weeks, while the control group maintained their normal lives. Strength, flexibility, agility, coordination, ADL and MMSE-K were measured. Exercise group showed significant improvement in grip strength compared to control group. In addition, ADL showed significant improvement only in the exercise group. The results of this study showed that participation in the combined exercise program of the el derl y was effective in improving the grip strength, and in preventing various physical functions and cognitive conditions decline.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.7
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• pp.1951-1975
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• 2023

Recent advances in Cognitive Radio Networks (CRN) have elevated them to the status of a critical instrument for overcoming spectrum limits and achieving severe future wireless communication requirements. Collaborative spectrum sensing is presented for efficient channel selection because spectrum sensing is an essential part of CRNs. This study presents an innovative cooperative spectrum sensing (CSS) model that is built on the Firefly Algorithm (FA), as well as machine learning artificial neural networks (ANN). This system makes use of user grouping strategies to improve detection performance dramatically while lowering collaboration costs. Cooperative sensing wasn't used until after cognitive radio users had been correctly identified using energy data samples and an ANN model. Cooperative sensing strategies produce a user base that is either secure, requires less effort, or is faultless. The suggested method's purpose is to choose the best transmission channel. Clustering is utilized by the suggested ANN-FA model to reduce spectrum sensing inaccuracy. The transmission channel that has the highest weight is chosen by employing the method that has been provided for computing channel weight. The proposed ANN-FA model computes channel weight based on three sets of input parameters: PU utilization, CR count, and channel capacity. Using an improved evolutionary algorithm, the key principles of the ANN-FA scheme are optimized to boost the overall efficiency of the CRN channel selection technique. This study proposes the Artificial Neural Network with Firefly Algorithm (ANN-FA) for cognitive radio networks to overcome the obstacles. This proposed work focuses primarily on sensing the optimal secondary user channel and reducing the spectrum handoff delay in wireless networks. Several benchmark functions are utilized We analyze the efficacy of this innovative strategy by evaluating its performance. The performance of ANN-FA is 22.72 percent more robust and effective than that of the other metaheuristic algorithm, according to experimental findings. The proposed ANN-FA model is simulated using the NS2 simulator, The results are evaluated in terms of average interference ratio, spectrum opportunity utilization, three metrics are measured: packet delivery ratio (PDR), end-to-end delay, and end-to-average throughput for a variety of different CRs found in the network.

• Korean Journal of Psychosomatic Medicine
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• v.26 no.1
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• pp.59-67
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• 2018

Objectives : The aims of this study were to know the frequency and the nature of cognitive dysfunction in type 2 diabetics, and to reveal influencing variables on it. Methods : From eighty type 2 diabetics (42 males and 38 females), demographic and clinical data were obtained by structured interviews. Cognitive functions were measured using the MMSE-K (Korean Version of the Mini-Mental State Examination) and the Korean Version of the Montreal Cognitive Assessment (MoCA-K) tests. Severity of depression was evaluated by the Korean Version of the Hamilton Depression Rating Scale (K-HDRS). Results : 1) Among eighty type 2 diabetics, 13.75% were below 24 on the MMSE-K, while 38.8% were below 22 on the MoCA-K. 2) The total scores and subtest scores of the MoCA-K including visuospatial/ executive, attention, language, delayed recall and orientation were significantly lower in type 2 diabetics with cognitive dysfunction (N=31) than those without cognitive dysfunction (N=49) (p<0.001, respectively). 3) There were significant difference between type 2 diabetics with and those without cognitive dysfunction in age, education, economic status, body mass index, duration of diabetes, total scores of the K-HDRS, the MMSE-K and the MoCA-K (p<0.05, respectively). 4) The total scores of the MoCA-K had significant correlation with age, education, body mass index, family history of diabetes, duration of diabetes, total scores of the K-HDRS (p<0.05, respectively). 5) The risks of cognitive dysfunction in type 2 diabetics were significantly influenced by sex, education, fasting plasma glucose and depression. Conclusions : The cognitive dysfunction in type 2 diabetics seemed to be related to multiple factors. Therefore, more comprehensive biopsychosocial approaches needed for diagnosis and management of type 2 diabetes.

• Journal of The Korean Association For Science Education
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• v.32 no.7
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• pp.1204-1221
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• 2012

The purpose of this research was to identify the components of scaffolding in open inquiry and to explore the functions of teachers' scaffolding, which is necessary to support students' open inquiry. In order to identify scaffolding components, at first, we conducted a survey using a questionnaire on what students think about open inquiry on 110 students who performed open inquiry in two middle schools, and then carried out factor analysis based on the survey results. It was attempted to investigate students' perception through focus group interviews corresponding to scaffolding components that were identified through factor analysis. Also, we examined teachers' empirical view of scaffolding functions in open inquiry through in-depth interviews with four teachers. The results of exploratory factor analysis revealed that there were five scaffolding components of open inquiry: motivation, planning, strategy, environment and participation. The results of focus group interviews showed that students experienced difficulties in planning, strategy, environment and participation components, except for motivation component. In particular, students asked for support to strengthen the participation component, which means recognizing their role, active participation and collaboration with peers. Meanwhile, the results of in-depth interviews with teachers showed that teachers' empirical views of scaffolding function in open inquiry were categorized as cognitive (conceptual, metacognitive), emotional (motivational, arbitrative) and strategic. Interviewed teachers preferred the strategic scaffolding and cognitive scaffolding to the emotional scaffolding. Based on the results, we also discussed the implications for performing open inquiry effectively.