• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.31 no.3
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• pp.105-120
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• 2020

Although autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by social impairments, patients with ASD frequently manifest atypical sensory behaviors. Recently, atypical sensory perception in ASD has received much attention, yet little is known about its cause or neurobiology. Herein, we review the findings from neuroimaging studies related to visual perception in ASD. Specifically, we examined the neural underpinnings of visual detection, motion perception, and face processing in ASD. Results from neuroimaging studies indicate that atypical visual perception in ASD may be influenced by attention or higher order cognitive mechanisms, and atypical face perception may be affected by disrupted social brain network. However, there is considerable evidence for atypical early visual processing in ASD. It is likely that visual perceptual abnormalities are independent of deficits of social functions or cognition. Importantly, atypical visual perception in ASD may enhance difficulties in dealing with complex and subtle social stimuli, or improve outstanding abilities in certain fields in individuals with Savant syndrome. Thus, future research is required to elucidate the characteristics and neurobiology of autistic visual perception to effectively apply these findings in the interventions of ASD.

• Journal of Digital Convergence
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• v.19 no.12
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• pp.353-358
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• 2021

Parkinson's disease is the second most common degenerative brain disease after Alzheimer's in old age. Symptoms of Parkinson's disease are factors that reduce the quality of life in daily life, such as shaking hands, slowing behavior and cognitive function. Parkinson's disease that can slow the progression of the disease through early diagnosis. To diagnoze Parkinson's disease early, an algorithm was implemented to extract features using wav2vec and to diagnose the presence or absence of Parkinson's disease with deep learning(ANN). As a results of the experiment, the accuracy was 97.47%. It was better than the results of diagnosing Parkinson's disease using the existing neural network. The audio voice file could simply reduce the experiment process and obtain improved results.

• Journal of Distribution Science
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• v.20 no.11
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• pp.121-129
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• 2022

Purpose: Artificial intelligence is widely used, particularly in the popular neural network theory called Deep learning. The improvement of computing speed and capability expedited the progress of Deep learning applications. The application of Deep learning in education has various effects and possibilities in creating and managing educational content and services that can replace human cognitive activity. Among Deep learning, Deep fake technology is used to combine and synchronize human faces with voices. This paper will show how to develop e-Learning content videos using those technologies and open-source tools. Research design, data, and methodology: This paper proposes 4 step development process, which is presented step by step on the Google Collab environment with source codes. This technology can produce various video styles. The advantage of this technology is that the characters of the video can be extended to any historical figures, celebrities, or even movie heroes producing immersive videos. Results: Prototypes for each case are also designed, developed, presented, and shared on YouTube for each specific case development. Conclusions: The method and process of creating e-learning video contents from the image, video, and audio files using Deep fake open-source technology was successfully implemented.

• Journal of Positioning, Navigation, and Timing
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• v.12 no.4
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• pp.399-408
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• 2023

In this paper, we propose a solution that enables continuous indoor/outdoor positioning of smartphone users through the integration of Pedestrian Dead Reckoning (PDR) and GPS/WiFi signals. Considering that accurate step detection affects the accuracy of PDR, we propose a Deep Neural Network (DNN)-based technology to distinguish between walking and non-walking signals such as walking in place. Furthermore, in order to integrate PDR with GPS and WiFi signals, a technique is used to select a proper measurement by distinguishing between indoor/outdoor environments based on GPS Dilution of Precision (DOP) information. In addition, we propose a technology to adaptively change the measurement error covariance matrix by detecting measurement outliers that mainly occur in the indoor/outdoor transition section through a residual-based χ² test. It is verified through experiments on a testbed that these technologies significantly improve the performance of PDR and PDR/GPS/WiFi fingerprinting-based integrated pedestrian navigation.

• IMMUNE NETWORK
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• v.20 no.3
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• pp.23.1-23.20
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• 2020

Sepsis is conceptually defined as life-threatening organ dysfunction that is caused by a dysregulated host response to infection. Although there has been significant advancement in recent decades in defining and understanding sepsis pathology, clinical management of sepsis is challenging due to difficulties in diagnosis, a lack of reliable prognostic biomarkers, and treatment options that are largely limited to antibiotic therapy and fundamental supportive measures. The lack of reliable diagnostic and prognostic tests makes it difficult to triage patients who are in need of more urgent care. Furthermore, while the acute inpatient treatment of sepsis warrants ongoing attention and investigation, efforts must also be directed toward longer term survival and outcomes. Sepsis survivors experience incomplete recovery, with long-term health impairments that may require both cognitive and physical treatment and rehabilitation. This review summarizes recent advances in sepsis prognosis research and discusses progress made in elucidating the underlying causes of prolonged health deficits experienced by patients surviving the early phases of sepsis.

• Korean Journal of Health Education and Promotion
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• v.12 no.1
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• pp.83-110
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• 1995

The purpose of this study was to investigate the status of the problematic behavior for the demented elderly and the stress among family members, and the effects of the problematic behavior upon the stress in order to offer the basic data for the adult and the elderly health education about dementia. For this purpose, 70 families who were resident in Seoul and Inchon were surveyed by quetionnaires. This was carried out from 26 July, 1994 to 11 September, 1994. Datum was analysed by using SPSS\PC+ including percentage, mean, t - test, ANOVA, Pearson correlation. So, the results of this study were as follows: 1. In view of socia-demographic characteristics, female were 82.9%, and of the female daughters-in-law of the demented elderly were 44.9%. 40th years old were 32.9% and 88.6% wase married. The christian were 34.8%, those who graduated university 47.1%, and those who had a job 32.9%. 2. Of the demented elderly, female were 74.3%, 80 years old were 37.1%, and their average age was seventy-seven point one years old. 66.2% of the elderly has been lived alone and the christian were 27.5%. In addition, those who graduated elementary school were 66.5%. 3. Of the behavior problem for the demented elderly, Activities of the Daily Living(ADL) was the most severe problem. The 2nd was cognitive function problem, the 3th, change of personality, the 4th, emotional disturbance, and the last, misconduct behavior. 4. For the status of behavior problems, females were more severe than male, and 80th years elderly ware the most severe groups. The longer disease period was, the severe problematic behaviors were, and in 4-6 years of the disease period the status was the highest(p＜0.05). Those who diagnosed the disease had more severe problems(p＜0.001). 5. The orders of the stress among family members caring for the demented elderly in this study were as follows : 1. The deficiency of supporting network 2. Decrease of elderly's cognitive activities 3. Assistance of BADL(Basic Activities of Daily Living) 6. Elderly's abnormal behavior 5. Assistance of IADL(Instrumental Activities of Daily Living), 6. As for the status of the stress among family members, female respondants were higher than male. On the ages, 20th years' stress score were the highest. Daughters-in-law were stressed more than other family members. The longer the time of caring per day was, the highest the status of the stress(p＜0.05), 7. Those who caring for female elderly and more than 80 years had more stressed. When the elderly was received the diagnosis, the family members were more stressed. On the disease period, 1-2 years was the highest and after 2 years the status of the stress was decreased and more than 6 years was the lowest(p＜0.05). 8. Behavior problems of the demented elderly were closely associated to the stress for family members. Of the problems, change of personality was the most related factor(r = 0.6552). The factors of Basic Activities of the Daily Living(BADL) was most correlated on assistance of Basic Activities of Daily Living (BADL), emotional disturbance the assistance of IADL(Instrumental Activities of Daily Living). Change of personality was most related to the stress of the decrease of cognitive activities and elderly's abnormal behavior. The deficiency of supporting network was most related to misconduct behavior.

• Information Systems Review
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• v.25 no.2
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• pp.77-101
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• 2023

Due to COVID-19, paid virtual live-stream concerts have emerged as an alternative format and a new revenue model for in-person live concerts. Despite the increasing scholarly and practical interest in how participants experience paid virtual live-stream concerts, few studies examined participants' consumption and participation experiences. Thus, this study aims to provide insights into consumers' virtual live-stream concert experience by employing social representations theory (SRT). We explore the features of paid virtual live-stream concerts based on the C-P-N-D (Content-Platform-Network-Device) framework and the consumers' cognitive and affective perception. To this end, an SRT-based core-periphery analysis was conducted based on 239 responses to the open-ended survey questions. The results show that network-and device-level features of virtual live concerts and participants' overall perception are presented as core elements of paid virtual live-stream concerts, whereas content- and platform-level features are peripheral elements. This finding provides an in-depth understanding of the emergence of paid virtual live-stream concerts as an alternative concert format, thereby providing an invaluable understanding of a virtual live concert experience and theoretical and practical insights.

• Perspectives in Nursing Science
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• v.7 no.1
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• pp.10-22
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• 2010

Purpose: Through a thorough examination of the CCSC (Community Comprehensive Support Center) system in Japan, this study suggests a scheme to provide community-based preventive health care services for the elderly in Korea. Methods: The study inquired into the applicability of the Japanese model by reviewing the data related to the CCSC project, aided by both in-depth interviews with staff in the field and consultations with specialists. Results: Rearrangement of the Visiting Health Management Project system is needed to manage the collective or individual visiting care management for frailty prevention of the elderly in communities. The delegated service system for preventive care in the community, including direct management by one of the public health centers, also needs to be reviewed and the application of stricter standards for the selection of the agency or corporation to run the delegated service is necessary. Long-Term Care Insurance, along with national and local grants, is to be considered as a financial resource for the community-based preventive health care model for the elderly. By making active use of education rooms at district offices, senior citizen centers in neighborhoods for the elderly with easy access can be created. The project needs to raise active supports from communities, develop programs which can be absorbed into particular local cultures, and promote the understanding of the preventive project in local communities. The preventive program should focus on first solving the problems of depression, seclusion, and lack of mobility of the elderly. Second, the program should instruct physical self-management for exercise-nutrition-dental maintenance, and third, the program should strengthen the cognitive abilities of the elderly. In addition, it is necessary to systematize and implement counter-plans of the family and community to protect the elderly who has mental and cognitive problems. Finally, by establishing a network of public health welfare resources based upon research on a community level, assessment and planning for the health of the elderly should be one with their family, and comprehensive consultation and recommendations should be provided to the family. Conclusion: Taking into consideration the experience Japan has had with respect to a similar project, it is appropriate to develop and implement a service system which would combine the Visiting Health Management Project system which has already been established and a preventive health care model for the elderly on a community level.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.2
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• pp.618-633
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• 2014

Relay technology is becoming more important for mobile communications and wireless internet of things (IoT) networking because of the extended access network coverage range and reliable quality of service (QoS) it can provide at low power consumption levels. Existing mobile multihop relay (MMR) technology uses fixed-point stationary relay stations (RSs) and a divided time-frame (or frequency-band) to support the relay operation. This approach has limitations when a local fixed-point stationary RS does not exist. In addition, since the time-frame (or frequency-band) channel resources are pre-divided for the relay operation, there is no way to achieve high channel utilization using intelligent opportunistic techniques. In this paper, a different approach is considered, where the use of mobile/IoT devices as RSs is considered. In applications that use mobile/IoT devices as relay systems, due to the very limited battery energy of a mobile/IoT device and unequal channel conditions to and from the RS, both minimum energy consumption and QoS support must be considered simultaneously in the selection and configuration of RSs. Therefore, in this paper, a mobile RS is selected and configured with the objective of minimizing power consumption while satisfying end-to-end data rate and bit error rate (BER) requirements. For the RS, both downlink (DL) to the destination system (DS) (i.e., IoT device or user equipment (UE)) and uplink (UL) to the base station (BS) need to be adaptively configured (using adaptive modulation and power control) to minimize power consumption while satisfying the end-to-end QoS constraints. This paper proposes a minimum transmission power consuming RS selection and configuration (MPRSC) scheme, where the RS uses cognitive radio (CR) sub-channels when communicating with the DS, and therefore the scheme is named MPRSC-CR. The proposed MPRSC-CR scheme is activated when a DS moves out of the BS's QoS supportive coverage range. In this case, data transmissions between the RS and BS use the assigned primary channel that the DS had been using, and data transmissions between the RS and DS use CR sub-channels. The simulation results demonstrate that the proposed MPRSC-CR scheme extends the coverage range of the BS and minimizes the power consumption of the RS through optimal selection and configuration of a RS.

• Journal of the Korean Regional Science Association
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• v.35 no.4
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• pp.47-60
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• 2019

The purpose of this study is to analyze gender gaps in wage and job satisfaction according to skill characteristics and gender composition in occupation type. Most of the previous studies dealing with gender gaps in wage and job satisfaction have limitations in using a model at a single level. To overcome these limitations, this study integrated the analysis of worker level and job level variables through the application of hierarchical linear model. For the empirical analysis, the 20th year of the Korea Labor Institute Panel Survey and Korea Network for Occupations and Workers data used, factor analysis was utilized to derive cognitive, technical and physical skills. According to the empirical results, female workers in the metropolitan area showed lower average wage and job satisfaction than male worker. these gender gaps were alleviated in occupations which requiring a high level of cognitive skill, while deepening in occupation with a high occupational segregation. The purpose of this study is to derive implications for the policy aimed at reducing the gender gap in the labor market by analyzing the relationship between gender gaps in wage and job satisfaction according to skill characteristics and gender composition rates of wage workers in the metropolitan area.