• International journal of advanced smart convergence
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• v.8 no.3
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• pp.123-130
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• 2019

In the study, we suggest that the activation plan of the public nature burial in the capital area through funeral information system as follows. First, according to the report on the social survey announced by the National Statistical Office in December 2017, the Korean people's preference of nature burial was 43.6% while the actual utilization rate of national nature burial in 2017 was only 8.8%, which showed a huge gap between preference and utilization rate of nature burial. Therefore, through the activities to improve the awareness of nature burial by performing the national promotion and education, and also the investment for the expansion or improvement of nature burial facilities in the level of central government and local government, the preference of nature burial should be led to the actual demand. Second, during the period from 2011 to 2018, the utilization rate of public nature burial in the capital area was annually increased by average 26.9%, which showed the huge increase of demand for nature burial. Thus, each local government should carry forward the policies for expanding the supply of public nature burial focusing on the woodland burial showing the high preference of users of public nature burial. Third, even though the public cremation facilities are installed or operated by local governments in the capital area, Seongnam City without the public cremation facilities should install the public nature burial for the enhancement of users convenience by providing the One Stop Total Funeral Service.

• International journal of advanced smart convergence
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• v.8 no.3
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• pp.69-77
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• 2019

Today, most of elevators have an emergency call facility for emergency situations. However, if the network installed in the elevator is also out of power, it cannot be used for the elevator remote monitoring and management. So, we develop an integrated and unified emergency call system, which can transmit not only telephone call but also data signals using PSTN(Public Switched Telephone Network) in order to remote monitoring and management of elevators, even though a power outage occurs. The proposed integrated emergency call system to process multiple data such as voice and operational information is a multi-channel board system which is composed of an emergency phone signal processing module and an operational information processing module in the control box of elevator. In addition, the RMS(remote management server) systems based on the Web consist of a dial-up server and a remote monitoring server where manages the elevator's operating information, status records, and operational faults received via the proposed integrated and unified emergency call system in real time. So even if there's a catastrophic emergency, the proposed RMS systems shall ensure and maintain the safety of passengers inside the elevator. Also, remote control of the elevator by this system should be more efficient and secure. In near future, all elevator emergency call system need to support multifunctional capabilities to transmit operational data as well as phone calls for the safety of passengers. In addition, for safer elevators, it is necessary to improve them more efficiently by combining them with high-tech technologies such as the Internet of Things and artificial intelligence.

• Journal of Digital Convergence
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• v.17 no.1
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• pp.229-237
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• 2019

The present study examined the mediating effects of self-esteem on the relationships between adult attachment and smartphone addiction. Participants were recruited from universities in a number of cities in Korea and they were given the survey including instruments that measured adult attachment, self-esteem, and smartphone addiction. Total 230 participants' data were analyzed and the results indicated anxious attachment was significantly positively correlated with smartphone addiction but negatively associated with self-esteem. Avoidant attachment was only negatively associated with self-esteem. Furthermore, self-esteem partially mediated the relationship between anxious attachment and smartphone addiction. Current findings can contribute to the development of the effective prevention/intervention programs of smart phone addiction for a young adults.

• The Journal of the Convergence on Culture Technology
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• v.5 no.1
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• pp.185-191
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• 2019

The use of smartphone improves convenience and efficiency in modern people's lives but threatens the mental health of individuals by manifesting an addiction phenomenon that is difficult for everyday life without a smartphone. In particular, it is suggested that the effects of the smartphone addiction of firefighters who have a high level of job stress due to work environment exposed to disaster and fire have a very negative effect on their personal well-being and job performance. Therefore, the analysis of the relationship between firefighters' smartphone addiction and stress will be helpful in examining the problems of stress management. This study analyzed the relationship and influence between smartphone addiction and stress of firefighters. Total study subjects were 230 and SPSS 20.0 was used. Statistical methods are group analysis (t-test and ANOVA) and multiple regression analysis. The results of this study show that firefighters' household type and monthly income have a significant effect on stress. Of the sub-factors of smartphone addiction, withdrawal experience has a statistically significant effect on stress. The results of the study will provide empirical data on the smartphone addiction of fire service employees.

• Journal of Digital Convergence
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• v.17 no.4
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• pp.335-344
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• 2019

This study aimed to identify the effect of stress, smartphone addiction, Social support, and physiological index on quality of sleep (PSQI) and to investigate the affecting factors according to sex in highschool students. The data were collected from 210 subjects from February 6 to 16, 2018 using a structured self-report questionnaires and analyzed using descriptive statistics, t-test, ANOVA, and multiple regression with SPSS WIN Version 24.0. The quality of sleep was lower in female students than in male students. In multiple regression analysis, Awake time, School grades stress were significant predictors and explained 29.6% of quality of sleep for male students. In female students, Smart phone start age, School grades stress, Disability of daily living and Appraisal social support were significant predictors and explained 24.3% of quality of sleep. Therefore, it is expected to be used as basic data for the development of intervention programs that can solve the factors affecting the quality of sleep of adolescents, thereby helping the healthy development of youth.

• Smart Structures and Systems
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• v.23 no.1
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• pp.1-14
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• 2019

Control algorithms are the most important aspects in successful control of structures against earthquakes. In recent years, intelligent control methods rather than classical control methods have been more considered by researchers, due to some specific capabilities such as handling nonlinear and complex systems, adaptability, and robustness to errors and uncertainties. However, due to lack of learning ability of fuzzy controller, it is used in combination with a genetic algorithm, which in turn suffers from some problems like premature convergence around an incorrect target. Therefore in this research, the introduction and design of the Fuzzy Cooperative Coevolution (Fuzzy CoCo) controller and Adaptive Neural-Fuzzy Inference System (ANFIS) have been innovatively presented for semi-active seismic control. In this research, in order to improve the seismic behavior of structures, a semi-active control of building using Magneto Rheological (MR) damper is proposed to determine input voltage of Magneto Rheological (MR) dampers using ANFIS and Fuzzy CoCo. Genetic Algorithm (GA) is used to optimize the performance of controllers. In this paper, the design of controllers is based on the reduction of the Park-Ang damage index. In order to assess the effectiveness of the designed control system, its function is numerically studied on a 9-story benchmark building, and is compared to those of a Wavelet Neural Network (WNN), fuzzy logic controller optimized by genetic algorithm (GAFLC), Linear Quadratic Gaussian (LQG) and Clipped Optimal Control (COC) systems in terms of seismic performance. The results showed desirable performance of the ANFIS and Fuzzy CoCo controllers in considerably reducing the structure responses under different earthquakes; for instance ANFIS and Fuzzy CoCo controllers showed respectively 38 and 46% reductions in peak inter-story drift ($J_1$) compared to the LQG controller; 30 and 39% reductions in $J_1$ compared to the COC controller and 3 and 16% reductions in $J_1$ compared to the GAFLC controller. When compared to other controllers, one can conclude that Fuzzy CoCo controller performs better.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.10
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• pp.1310-1316
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• 2021

Recently, with the development of artificial intelligence and IoT technology, the importance of video processing such as object tracking, medical imaging, and object recognition is increasing. In particular, the noise reduction technology used in the preprocessing process demands the ability to effectively remove noise and maintain detailed features as the importance of system images increases. In this paper, we provide a modified weight filter based on pixel matching in an AWGN environment. The proposed algorithm uses a pixel matching method to maintain high-frequency components in which the pixel value of the image changes significantly, detects areas with highly relevant patterns in the peripheral area, and matches pixels required for output calculation. Classify the values. The final output is obtained by calculating the weight according to the similarity and spatial distance between the matching pixels with the center pixel in order to consider the edge component in the filtering process.

• International journal of advanced smart convergence
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• v.10 no.3
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• pp.113-121
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• 2021

This study was conducted on 1,174 retirees in their 50s and 60s nationwide using the 7th data of the National Pension Service's National Elderly Security Panel Survey. We were able to confirm the following results through the SPSS WIN 18.0 program.. First, men showed a higher level of education than women. From these results, it is expected that men will be better prepared for retirement. Second, men had spouses and two or more household members than women. According to previous studies showing that men are better prepared for retirement if they have a spouse, it is expected that men are better prepared for retirement. Second, 38% of men and 62% of women were voluntary retirees. Third, both men and women responded that their own and spouses should play the main role in preparing for retirement. Fourth, both men and women had very low rates of preparation for old age, economic independence, and public and private pensions. Among them, women were lower than men. Fifth, economic problem solving, health, and medical care were the priority as parts to be done for retirement in oneself and society. Based on these results, the directions for preparing retirees for retirement are as follows. First, education on wage peak system, retirement age extension and financial management for involuntary retirees is required, and guidance and management methods on health care and disease should be provided to address needs for health and health care. Women had more voluntary retirees than men, and they need to know why. Second, when both men and women are very poor at preparing for retirement, there should be job creation measures to ensure that they and their spouses are fully prepared for retirement.

• Industry Promotion Research
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• v.6 no.2
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• pp.47-53
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• 2021

This study is a study on the change of life and leisure satisfaction caused by the reduction of working hours of office workers, summarizing the results of the analysis as follows: First, the change in the working hours of office workers was found to be men (42.4 percent), but women (54.7 percent) had a high increase in personal satisfaction, monthly income of 2 to 3 million won 96.1 percent, and personal satisfaction increased in small and medium-sized cities and towns. Second, leisure satisfaction due to shorter working hours was somewhat high in monthly income of 3 million won to 4 million won (43.6%) and more than 6 million won (39.1%), but there was no change in leisure satisfaction by gender, age, academic background, number of family members, marital status, worker status and region. The revitalization of leisure is a very important task in personal life, but it is meaningful in that it provided implications for socializing leisure as leisure satisfaction is positively spreading in life changes.

• Journal of Digital Convergence
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• v.19 no.4
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• pp.25-31
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• 2021

Moving toward an aged society, traffic accidents involving elderly drivers have also attracted broader public attention. A rapid increase of senior involvement in crashes calls for developing appropriate crash-severity prediction models specific to senior drivers. In that regard, this study leverages machine learning (ML) algorithms so as to predict the severity of vehicle-pedestrian collisions induced by elderly drivers. Specifically, four ML algorithms (i.e., Logistic model, K-nearest Neighbor (KNN), Random Forest (RF), and Support Vector Machine (SVM)) have been developed and compared. Our results show that Logistic model and SVM have outperformed their rivals in terms of the overall prediction accuracy, while precision measure exhibits in favor of RF. We also clarify that driver education and technology development would be effective countermeasures against severity risks of senior driver-induced collisions. These allow us to support informed decision making for policymakers to enhance public safety.