• Journal of the Society of Disaster Information
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• v.17 no.2
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• pp.391-402
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• 2021

Purpose: By categorizing opinions by subject in the safety certification ecosystem, we want to identify weaknesses in system operation and suggest improvement plans so that the safety certification system can have quick resilience against future variability. Method: Through literature research and data analysis, similar domestic and foreign safety certifications and related cases, as well as the current status of international standards and national standards, etc. were confirmed, and a fact-finding survey was conducted for each stakeholder in the safety certification ecosystem, and problem types and improvement measures were established. Result: We conduct a fact-finding survey of the overall system, such as quality satisfaction with safety certification target products, obstacles in the development, manufacturing and use process, and safety certification-related improvements, targeting workplaces that manufacture, import or use safety certification target machines By discovering and categorizing problems and weaknesses in system operation, detailed implementation tasks were derived to establish improvement directions and improve operability. Conclusion: For the advancement and internationalization of the safety certification system, it is necessary to efficiently carry out the detailed promotion tasks derived from this study. In addition, in order to strengthen the resilience to the variability of the safety certification ecosystem, the operating system of a virtuous cycle structure by improving the mutual relationship between each subject construction is considered important.

• Korean Journal of Family Social Work
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• no.55
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• pp.265-297
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• 2017

This study aims to provide basic information about the policy and system improvements relevant to single elderly men, through an investigation concerning the use and needs of activity spaces near their housing environments. Eighteen single elderly men over 60-years-old living in Gunsan city of Jeonbuk province in Korea participated in in-depth interview, and the data were qualitatively analyzed. The results of the study are as follows: The social networks of the participants were focused on friends or colleagues, while mutual exchanges with their children were intermittently undertaken. Natural networks of the elderly were formed mainly in third places, such as parks, restaurants, or community facilities, and about a half of the elderly participants had no spatial needs, and the rest required spaces for meal services, the elderly living community, jobs, leisure/hobby activities, or facility improvements. The elements influencing use of activity spaces were access from the residence, health, social networks, and economic conditions. The results suggest the following: Exercise or leisure facilities supporting elderly mobility should be set up close to their residential environments. Senior facilities centered on systematic supports and shuttle buses circulating around the places that the elderly visit frequently should be considered. On the other hand, regular maintenance and education on residents' proper use of the facilities, and sufficient information and fee discounts for the general programs are needed so that the elderly could interact with the younger generation. From a public perspective, a rational system and policy based on understanding single elderly men's needs should be prepared for provision and management of the activity space.

• 재활복지
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• v.21 no.2
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• pp.63-88
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• 2017

This study evaluated the actual status of special needs of the hearing-impaired person for disaster response. The analysis revealed a significant level of unmet needs in disaster response for hearing-impaired person. The 5 special needs in disaster response include: 1) communication needs, which involve securing the means to make an emergency rescue request and communicating information during the rescue process; 2) transportation needs, which indicate the effective evacuation capacity and the level of training; 3) medical needs, which address the degree of preparedness for physical and mental emergency measures and the delivery of health information for rescue and first aid process; 4) maintaining functional independence needs, which refer to the level of self-preparedness to minimize damage in disaster situations, and; 5) supervision needs, which correspond to a personalized support system provided to disaster-vulnerable groups.

• Journal of Digital Convergence
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• v.17 no.2
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• pp.163-170
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• 2019

Over the past decade, the development of the Web explosively increased the data. Feature selection step is an important step in extracting valuable data from a large amount of data. This study proposes a novel opinion mining model based on combining feature selection (FS) methods with Word embedding to vector (Word2vec) and BOW (Bag-of-words). FS methods adopted for this study are CFS (Correlation based FS) and IG (Information Gain). To select an optimal FS method, a number of classifiers ranging from LR (logistic regression), NN (neural network), NBN (naive Bayesian network) to RF (random forest), RS (random subspace), ST (stacking). Empirical results with electronics and kitchen datasets showed that LR and ST classifiers combined with IG applied to BOW features yield best performance in opinion mining. Results with laptop and restaurant datasets revealed that the RF classifier using IG applied to Word2vec features represents best performance in opinion mining.

• Journal of Digital Convergence
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• v.19 no.4
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• pp.141-149
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• 2021

The purpose of this study was to identify the intention to use of information and communication technology(ICT) for the elderly residing in community based on the theory of planned behavior. The subjects were 99 elderly aged 60 or older living in G and S cities from January 1 to 31 in 2020 using questionnaire. The data was analyzed using the SPSS 23.0 program for descriptive statistics, t-test, ANOVA, Pearson's correlation coefficient, multiple regression. As a result, the mean of the attitude to use of ICT for the elderly was 3.79±0.74, subjective norm was 3.43±0.66, perceived behavioral control was 3.12±0.71, behavior intention was 3.23±0.77. The intent to use of ICT for the elderly are subjective norm(β=.35, p<.001), perceived behavior control(β=.35, p<.001), had an explanatory power of 48.7%. Therefore, it is necessary that systematic program considering the above factors for elderly residing in community to promote the intent to use of ICT.

• Journal of Convergence for Information Technology
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• v.11 no.4
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• pp.220-229
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• 2021

This study aimed to evaluate the effect of music therapy on depression and rehabilitation-motivation provided to stroke patients, thus achieving evidence-based music therapy as a nursing intervention method for patients. Thirty-three people who were hospitalized for stroke diagnosis at K-Hospital were required to listen to 10 pre-selected songs for three days before bedtime. According to the general characteristics, the proportion of male participants (25, 75.8%) was higher than female (8, 24.2%), and by age group, 6(18.2%) were in 40s, 19(57.6%) were in 50s and 8(24.2%) were aged 60 or older. The study data were analyzed using Wilcoxon-signed rank test. As a result, music therapy does not affect depression and rehabilitation-motivation. However, it was shown to be effective in reducing depression in MMSE group 1 (≤ 29) with low cognitive levels. It is expected that this study can be used as an evidence for music therapy which can be applied as a way to increase the effectiveness of nursing intervention.

• Journal of Internet of Things and Convergence
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• v.8 no.6
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• pp.55-63
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• 2022

In recent years, with the rapid development of large and medium-sized urban rail transit in China, the total operating mileage of high-speed railway and the total number of EMUs(Electric Multiple Units) are rising. The system complexity of high-speed EMU is constantly increasing, which puts forward higher requirements for the safety of equipment and the efficiency of maintenance.At present, the maintenance mode of high-speed EMU in China still adopts the post maintenance method based on planned maintenance and fault maintenance, which leads to insufficient or excessive maintenance, reduces the efficiency of equipment fault handling, and increases the maintenance cost. Based on the intelligent operation and maintenance technology of PHM(prognostics and health management). This thesis builds an integrated PHM platform of "vehicle system-communication system-ground system" by integrating multi-source heterogeneous data of different scenarios of high-speed EMU, and combines the equipment fault mechanism with artificial intelligence algorithms to build a fault prediction model for traction motors of high-speed EMU.Reliable fault prediction and accurate maintenance shall be carried out in advance to ensure safe and efficient operation of high-speed EMU.

• Journal of Convergence for Information Technology
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• v.11 no.5
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• pp.38-49
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• 2021

This study is single-group pretest-posttest design study to examine the effects of web-based cognitive training program using tablet on cognition and depression in the elderly with high risk of dementia or mild dementia living in a rural area, enrolled in dementia center. Intervention was provided to the 18 participants once a week for 10 weeks within 1 hour. Data was analyzed with SPSS 24.0 and interview data was categorized. The study result proves that after intervention, the participants' cognitive score increased significantly(Z=-3.35, p=.001) and the depression scores were significantly decreased(Z=-3.13, p=.002). Also, interview shows positive effect of the intervention on cognition and depression. It is necessary to improve access environment for smart devices so as not to be restricted by time and place, and to develop and apply various types of web-based programs for each cognitive level. Then, the intervention could be used as a cognitive training program incorporating information and communication technology for the prevention and management of dementia in rural areas.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.16 no.6
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• pp.385-391
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• 2023

As the use of electric vehicles has increased to minimize carbon emissions, the analyzing the state and performance of lithium-ion batteries that is instrumental in electric vehicles have been important. Comprehensive analysis using not only the voltage, current and temperature of the battery pack, which can affect the condition and performance of the battery, but also the driving data and charging pattern data of the electric vehicle is required. Therefore, a thorough analysis is imperative, utilizing electric vehicle operation data, charging pattern data, as well as battery pack voltage, current, and temperature data, which collectively influence the condition and performance of the battery. Therefore, collection and preprocessing of battery data collected from electric vehicles, collection and preprocessing of data on driver driving habits in addition to simple battery data, detailed design and modification of artificial intelligence algorithm based on the analyzed influencing factors, and A battery analysis and evaluation model was designed. In this paper, we gathered operational data and battery data from real-time electric buses. These data sets were then utilized to train a Random Forest algorithm. Furthermore, a comprehensive assessment of battery status, operation, and charging patterns was conducted using the explainable Artificial Intelligence (XAI) algorithm. The study identified crucial influencing factors on battery status, including rapid acceleration, rapid deceleration, sudden stops in driving patterns, the number of drives per day in the charging and discharging pattern, daily accumulated Depth of Discharge (DOD), cell voltage differences during discharge, maximum cell temperature, and minimum cell temperature. These factors were confirmed to significantly impact the battery condition. Based on the identified influencing factors, a battery analysis and evaluation model was designed and assessed using the Random Forest algorithm. The results contribute to the understanding of battery health and lay the foundation for effective battery management in electric vehicles.

• Journal of Hospice and Palliative Care
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• v.5 no.2
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• pp.155-162
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• 2002

Purpose : The purpose of this study is to provide preliminary information on the hospice care needs of hospice volunteers. Methods : The sample of this study was obtained from those who completed the hospice volunteer education program in three different areas in Korea. This study was conducted by a self-administered questionnaire. The sample analyzed for this study contained 88 hospice volunteers. Frequency, percentage, mean, standard deviation, and logistic regression analysis were performed to produce the findings of this study. Results : The characteristics of the study sample were $40{\sim}49$ aged, middle class, christianity, married women with high school diplomas. They attended at the hospice center with less than 1 year experience. Majority of them had no family members who received a hospice care. The hospice care was strongly required in the field of information, particularly regarding their diseases and treatments. The identified hospice care needs were the prevention and treatment of gangrene in the field of physical needs, the maintenance of closer relationship with their doctors in the field of emotional needs, and the support of supporting medical insurance in the field of socioeconomic needs. The significant predictors were 'having hospice care taker among family members' in the field of the total hospice care needs and physical needs. Two predictable variables were found in the field of emotional needs. However, none were found to be a predictable variable in the field of information and socioeconomic needs. Conclusion : The findings or this study have a weekness of generalizability due to the sampling methodology used in this study. Thus, further research should be designed in relation to this topic with a probability sampling method.