• KIPS Transactions on Software and Data Engineering
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• v.8 no.7
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• pp.275-288
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• 2019

In this paper, we consider a rumor source inference problem when sufficiently many nodes heard the rumor in the network. This is an important problem because information spread in networks is fast in many real-world phenomena such as diffusion of a new technology, computer virus/spam infection in the internet, and tweeting and retweeting of popular topics and some of this information is harmful to other nodes. This problem has been much studied, where it has been shown that the detection probability cannot be beyond 31% even for regular trees if the number of infected nodes is sufficiently large. Motivated by this, we study the impact of query that is asking some additional question to the candidate nodes of the source and propose budget assignment algorithms of a query when the network administrator has a finite budget. We perform various simulations for the proposed method and obtain the detection probability that outperforms to the existing prior works.

• Journal of the Korea Convergence Society
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• v.10 no.8
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• pp.237-243
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• 2019

This study used latent profile analysis to identify heterogeneous subgroups with respect to the perception of work environment among workers in residential facilities for people with disabilities. The final model yielded five latent profiles of the perception of work environment: 'low workload group' who scored low in time pressure and job responsibility, 'discrimination perception group' who scored low in supervisor support and high in sex and academic/regional discriminations, 'positive perception group' who scored high in work autonomy and peer and supervisor supports, 'high workload group' who scored high in workload, time pressure, and job responsibility, and 'average group' who scored average in most areas. In the case of job satisfaction, positive perception group was the highest, followed by average group, low and high workload groups, and discrimination perception group.

• The Korean Journal of Emergency Medical Services
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• v.24 no.3
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• pp.107-116
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• 2020

Purpose: We compared three chest compression methods to find an efficient method for performing infant cardiopulmonary resuscitation (CPR) for single rescuers and improving chest compressions quality. Methods: Thirty new marine police trainees at the Korea Coast Guard Education Institute were tested for five sessions using three methods of single rescuer infant CPR: two-finger chest compression, two-thumb encircling chest compression, and two-finger support chest compression. Results: The depth, accuracy, and number of compressions per minute of resuscitation were analyzed for the above three methods. The depth of two-finger chest compression, two-thumb encircling chest compression, and two-finger support chest compression was 3.53±0.20cm, 4.10±0.13cm, and 4.22±0.15cm, respectively. Accuracy was 23.86±12.59%, 54.11±10.8%, 71.55±18.81%, respectively, while the time for one cycle of 30 chest compression was 16.01±10.5 seconds, 16.45±0.85 seconds, and 16.56±0.91 seconds, respectively. Chest compression interruptions were 6.59±0.78 seconds, 7.17±0.37 seconds, and 6.97±0.35 seconds, respectively. The interruptions were consistent with the range of 5-10 seconds suggested by the American Heart Association. Conclusion: When one rescuer performs CPR for an infant in cardiac arrest, a comparative analysis of three methods showed that two-thumb encircling chest compression is the best for accuracy and efficiency of chest compressions.

• Journal of Digital Convergence
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• v.19 no.6
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• pp.23-28
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• 2021

This research analyzed the effects of entrepreneurship education and consulting programs on entrepreneurial intentions of pre-founders and verified the mediating effects of entrepreneurship competence in these influence relationships. This study conducted an empirical analysis of pre-founders in Gwangju and Jeonnam areas for empirical analysis. As a result of the actual analysis, entrepreneurship education and entrepreneurship consulting showed a positive (+) effect on entrepreneurship competency, and entrepreneurship education and entrepreneurship consulting showed a statistical significance as a parameter in the relationship between entrepreneurship will. The results of this study are meaningful in that it provides basic data for effective start-up education and consulting programs, thereby improving the entrepreneurial will of pre-founders and forming a good start-up culture. Finally, this study also presented limitations and future research directions.

• Journal of Digital Convergence
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• v.19 no.6
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• pp.393-398
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• 2021

As society becomes more complex and advanced, the risk of accidents is inevitably increased, and this is an opportunity to increase the occurrence of not only congenital disabilities but also acquired disabilities. In this situation, the use of rehabilitation robots, a complex of advanced technologies, is expected to increase steadily in the future. So the authors would take a look the technological trends and future development prospects of domestic and foreign rehabilitation robots. Until now, disability assistive robot technology has been mainly developed in the field of supporting disability with walking disabilities or work limitations rather than cognitive disabilities. However, another issue of population aging is that cognitive impairment has the potential to increase, so development of a disability assistance robot that secures user safety must be actively promoted. It is thought that empirical results should be derived and converged

• Journal of the Korean Society of Physical Medicine
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• v.17 no.4
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• pp.151-160
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• 2022

PURPOSE: To evaluate the usability of a kiosk-based healthcare service that provides a fitness evaluation and customized exercise program for elderly or chronic musculoskeletal system patients. METHODS: To evaluate the usability of the customized exercise service program, healthy adults (n=20) from Welfare B, located in Gwangju, were selected and studied. Subjective safety, operability, and satisfaction of individual users were obtained as data by distributing questionnaires to subjects who experienced this program and having them fill out the questionnaire. For descriptive statistics related to the survey, frequency analysis was used to determine the frequency and ratio of the variable values of the measurement items. RESULTS: As a result of the usability evaluation, the average score was 4.166, and the average score of each item was 4.025 for safety, 4.272 for operability, and 4.143 for satisfaction. Most users obtained high satisfaction and positive impressions. CONCLUSION: The HARUFIT service, a user-customized exercise program used in this study, can be developed into a device that can improve self-management ability and increase understanding of health care by providing customized exercise based on the results of physical fitness evaluation. It is possible to diversify health management methods and maximize the effect of exercise by making exercise a habit of chronic musculoskeletal disease patients or the elderly using these smart devices.

• The Journal of the Korea institute of electronic communication sciences
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• v.17 no.4
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• pp.543-554
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• 2022

In this study, the government's investment, laws, regulations, and difficulties related to IoT radio technology in the energy and medical fields are mainly analyzed. Also, plans for dissemination, technology preemption, and commercialization are derived to enhance global competitiveness. Research on ways to secure and predict radio wave application technologies in energy and medical fields, and to alleviate barriers to entry for new business operators. Analyzes the efficiency of support measures using expert groups in each energy and medical field, analyzes the utilization value of accumulated data, and proposes mid- to long-term promotion systems and support measures, as well as utilization measures of data held by external agencies related to radio waves.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.4
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• pp.29-33
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• 2022

In this paper, we propose the deep learning based pre interference cancellation scheme algorithm for power line communication (PLC) systems in smart grid. The proposed scheme estimates the channel noise information by applying a deep learning model at the transmitter. Then, the estimated channel noise is updated in database. In the modulator, the channel noise which reduces the power line communication performance is effectively removed through interference cancellation technique. As an impulsive noise model, Middleton Class A interference model was employed. The performance is evaluated in terms of bit error rate (BER). From the simulation results, it is confirmed that the proposed scheme has better BER performance compared to the theoretical model based on additive white Gaussian noise. As a result, the proposed interference cancellation with deep learning improves the signal quality of PLC systems by effectively removing the channel noise. The results of the paper can be applied to PLC for smart grid and general communication systems.

• Journal of Korea Entertainment Industry Association
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• v.14 no.8
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• pp.197-202
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• 2020

In this study, we investigate the effect of twenties female caffeine addiction on cardiorespiratory capacity. For this study, we divided 35 female students at H university into caffeine addict group(n=17) and none caffeine addict group(n=18). Measure maximal oxygen uptake, maximal energy consumption and METs using Cycle Ergometer to assess cardiac capacity. Measure peak inspiratory pressure, peak inspiratory flow rate, peak inspiratory capacity, average inspiratory pressure, average inspiratory flow rate, average inspiratory capacity using Power Breathe K5 to assess respiratory capacity. As a result, cardiac capacity showed a statistically significant decrease in maximal oxgen uptake and METs compared caffeine addict group to none caffeine addict group(p<.001). respiratory capacity showed a statistically significant decrease in peak inspiratory pressure(p<.05), peak inspiratory flow rate(p<.01), average inspiratory pressure(p<.01), average inspiratory flow rate(p<.01), compared caffeine addict group to none caffeine addict group. Combining the results of the study, we could see that caffeine addiction reduces the cardiorespiratory capacity in twenties female. Therefore, it could be used as a basis date to prevent caffeine addiction for twenties female.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.29 no.2
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• pp.118-127
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• 1984

In order to find an appropriate model for rice crop-season, the possibility to utilize the geographical conditions instead of meteorological factors was examined on the data from the Local Adaptability Test(LAT) conducted over the country from 1962 to 1980. The mutiple regression model, $Y={\Upsilon}={\ss}{\sum}_{i=1}^n{\beta}^1X^iwas applied on seeding, transplanting, heading and marginal heading date, and multiple regression coefficients(\beta) and multiple correlation coefficients (R) were tested. Two varietal groups, japonica(1962-l971) and indica/japonica(l972-1980) were separately tested. The application of these established models, growth duration in nursery and paddy field, cultural season, and the relation between heading date and yield are reviewed.