• Journal of Hospice and Palliative Care
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• v.16 no.2
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• pp.108-117
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• 2013

Purpose: The objectives of this study were to 1) explore nurses' attitudes toward death, coping with death, understanding and performance regarding end-of-life (EOL) care, 2) describe correlations among the above factors, and 3) determine the factors affecting nurses' EOL care performance. Methods: Study participants were 187 nurses stationed at departments that post higher mortality than others such as the oncology department, intensive care unit (ICU) and emergency department (ED). Data were collected from three urban university-affiliated hospitals. Multi-dimensional measure was performed for study instruments such as "attitude toward death", "coping with death" and "understanding and performance regarding EOL care". Data were analyzed by using descriptive statistics, correlation, and multiple regressions. Results: First, nurses showed significantly different attitudes toward death by age, religion, work unit and EOL care education. Younger nurses tend to score low on the understanding of EOL care, and ED nurses' score was lower than their peers at the oncology department and ICU. Second, EOL care performance was positively correlated with attitude toward death (P<0.001), coping with death (P=0.003) and understanding of EOL care (P<0.001). Third, nurses' EOL care performance was affected by work unit (P<0.001) and understanding of EOL care (P<0.001). Conclusion: Because nurses' performance was influenced by their work unit and understanding of EOL care, they should be provided with appropriate training to improve their understanding of death and EOL care according to work unit.

• Journal of the Korea Institute of Military Science and Technology
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• v.10 no.2
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• pp.115-125
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• 2007

The ubiquitous embedded computers are firmly established as the basic electronic component of design that control military systems. Such applications can be found everywhere in the field of military system. A embedded computer is required to redesign when system needs performance upgrade or production-state of processor is NRND or EOL. This paper describes a scheme about impact analysis of designing processor alteration on embedded computer. In this case, hardware architecture and interrupt source of target system must be considered. Also, performance and throughput of that must be analyzed.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.32 no.4
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• pp.192-202
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• 2009

Disassembly of products at their end-of-life (EOL) is a prerequisite for recycling or remanufacturing, since most products should be disassembled before being recycled or remanufactured as secondary parts or materials. In disassembly sequence planning of EOL products, considered are the uncertainty issues, i.e., defective parts or joints in an incoming product, disassembly damage, and imprecise net profits and costs. The paper deals with the problem of determining the disassembly level and corresponding sequence, with the objective of maximizing the overall profit under uncertainties in disassembly cost and/or revenue. The solution is represented as the longest path on a directed acyclic graph where parameter (arc length) uncertainties are modeled in the form of intervals. And, a heuristic algorithm is developed to find a path with the minimum worst case regret, since the problem is NP-hard. Computational experiments are carried out to show the performance of the proposed algorithm compared with the mixed integer programming model and Conde's heuristic algorithm.

• Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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• 2008.10a
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• pp.7-11
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• 2008

The fluorescent lamp is one of a discharge lane that is used by electric discharge to transfer from electrical energy to light The fluorescent lamp needs a ballast stabilizer when turn it on because it has negative resistance. Characters of electric discharge and transformed characters of ballast stabilizer are connected closely. Therefore, bring out best design directive that consider economical efficiency and term of a application is very important for both characters matching. In this case, we will team to develop tester and functions for expression for recognizing the end of fluorescent lamp life to solve fire problem and losing efficiency of light when a fluorescent lamp goes the end of the expected its life span.

• Journal of Internet of Things and Convergence
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• v.6 no.1
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• pp.45-53
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• 2020

This study aimed to examine the relationship of the knowledge of end-of-life(EOL) care, life-sustaining treatment(LST), and advance directive(AD) with the educational needs regarding AD writing among nurses in convergence era. For this cross-sectional study, participants were 169 nurses at a general hospital in South Korea. Data were collected from July 19 to 26 in 2018 using structured questionnaires. Knowledge on EOL care scored 8.56 out of 11 points, knowledge on LST scored 5.11 out of 6 points, and knowledge on AD scored 8.02 out of 9 points. Educational needs regarding AD writing scored 4.31 out of 5 points. There were statistically correlations between knowledge on LST and educational needs regarding AD writing (r=.182, p=.018), and between knowledge on AD and educational needs regarding advance AD writing (r=.234, p=.002). The findings can be used to develop the educational program regarding AD.

• Smart Media Journal
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• v.11 no.11
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• pp.63-74
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• 2022

Nowadays, lithium-ion battery has become more popular around the world. Knowing when batteries reach their end of life (EOL) is crucial. Accurately predicting the remaining useful life (RUL) of lithium-ion batteries is needed for battery health management systems and to avoid unexpected accidents. It gives information about the battery status and when we should replace the battery. With the rapid growth of machine learning and deep learning, data-driven approaches are proposed to address this problem. Extracting aging information from battery charge/discharge records, including voltage, current, and temperature, can determine the battery state and predict battery RUL. In this work, we first outlined the charging and discharging processes of lithium-ion batteries. We then summarize the proposed techniques and achievements in all published data-driven RUL prediction studies. From that, we give a discussion about the accomplishments and remaining works with the corresponding challenges in order to provide a direction for further research in this area.

• IE interfaces
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• v.19 no.3
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• pp.181-189
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• 2006

This study introduces an overall framework for RFID applications in product lifecycle management(PLM). PLM is a new strategic approach to manage product related information efficiently over the whole product lifecycle. Recently, with emerging technologies such as radio frequency identification(RFID), global positioning system(GPS), and wireless communication, PLM provides a new environment that enables us to gather and analyze product lifecycle information, and make decisions on several issues without spatial and temporal constrains. However, a PLM system just provides us with new opportunities to gain the PLM system, first and foremost, it is necessary to look into its overall framework in the viewpoint of hardware, software, and business model. For this purpose, in this study, first, we introduce the technical framework of the new PLM environment with the concept of extended RFID system, called product embedded information device(PEID). Then, for each lifecycle phase such as beginning of life(BOL), middle of life(MOL), and end of life(EOL), we explore several research problems that become highlighted under the new PLM environment.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.35 no.4
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• pp.98-109
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• 2012

Recently, the optimisation of end-of-life (EOL) product remanufacturing processes has been highlighted. In particular, computer remanufacturing becomes important as the amount of disposed of computers is rapidly increasing. At the computer remanufacturing, depending on the selections of used computer parts, the value of remanufactured computers will be different. Hence, it is important to select appropriate computer parts at the reassembly. To this end, this study deals with a decision making problem to select the best combination of computer parts for minimising the total remanufacturing computer cost. This problem is formulated with an integer nonlinear programming model and heuristic search algorithms are proposed to resolve it.

• Industrial Engineering and Management Systems
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• v.13 no.1
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• pp.52-66
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• 2014

Promotion of a closed-loop supply chain requires disassembly systems that recycle end-of-life (EOL) assembled products. To operate the recycling disassembly system, parts selection is environmentally and economically carried out with non-destructive or destructive disassembly, and the recycling rate of the whole EOL product is determined. As the number of disassembled parts increases, the recycling rate basically increases. However, the labor cost also increases and brings lower profit, which is the difference between the recovered material prices and the disassembly costs. On the other hand, since the precedence relationships among disassembly tasks of the product also change with the parts selections, it is also required to optimize allocation of the tasks in designing a disassembly line. In addition, because information is required for such a design, the recycling rate, profit of each part and disassembly task times take precedence among the disassembly tasks. However, it is difficult to obtain that information in advance before collecting the actual EOL product. This study proposes and analyzes an optimal disassembly system design using integer programming with the environmental and economic parts selection (Igarashi et al., 2013), which harmonizes the recycling rate and profit using recyclability evaluation method (REM) developed by Hitachi, Ltd. The first stage involves optimization of environmental and economic parts selection with integer programming with ${\varepsilon}$ constraint, and the second stage involves optimization of the line balancing with integer programming in terms of minimizing the number of stations. The first and second stages are generally and mathematically formulized, and the relationships between them are analyzed in the cases of cell phones, computers and cleaners.

• Health Policy and Management
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• v.27 no.2
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• pp.167-176
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• 2017

Background: This study aimed to analyze the impact of community health care resources on the place of death of older adults with dementia compared to those with cancer in South Korea, using public administrative big data. Methods: Based on a literature review, we selected person- and community-level variables that can affect older people's decisions about where to die. Data on place-of-death and person-level attributes were obtained from the 2013 death certification micro data from Statistics Korea. Data on the population and economic and health care resources in the community where the older deceased resided were obtained from various open public administrative big data including databases on the local tax and resident population statistics, health care resources and infrastructure statistics, and long-term care (LTC) insurance statistics. Community-level data were linked to the death certificate micro data through the town (si-gun-gu) code of the residence of the deceased. Multi-level logistic regression models were used to simultaneously estimate the impacts of community as well as individual-level factors on the place of death. Results: In both the dementia (76.1%) and cancer (87.1%) decedent groups, most older people died in the hospital. Among the older deceased with dementia, hospital death was less likely to occur when the older person resided in a community with a higher supply of LTC facility beds, but hospital death was more likely to occur in communities with a higher supply of LTC hospital beds. Similarly, among the cancer group, the likelihood of a hospital death was significantly lower in communities with a higher supply of LTC facility beds, but was higher in communities with a higher supply of acute care hospital beds. As for individual-level factors, being female and having no spouse were associated with the likelihood of hospital death among older people with dementia. Conclusion: More than three in four older people with dementia die in the hospital, while home is reported to be the place of death preferred by Koreans. To decrease this gap, an increase in the supply of end-of-life (EOL) care at home and in community-based service settings is necessary. EOL care should also be incorporated as an essential part of LTC. Changes in the perception of EOL care by older people and their families are also critical in their decisions about the place of death, and should be supported by public education and other related non-medical, social approaches.