• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.2
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• pp.453-461
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• 2010

This paper presents a branch prediction algorithm and a 4-way set-associative cache for performance improvement of embedded RISC core and a clock-gating algorithm using ODC (Observability Don't Care) operation to improve the power consumption of the core. The branch prediction algorithm has a structure using BTB(Branch Target Buffer) and 4-way set associative cache has lower miss rate than direct-mapped cache. Pseudo-LRU Policy, which is one of the Line Replacement Policies, is used for decreasing the number of bits that store LRU value. The clock gating algorithm reduces dynamic power consumption. As a result of estimation of performance and dynamic power, the performance of the OpenRISC core applied the proposed architecture is improved about 29% and dynamic power of the core using Chartered $0.18{\mu}m$ technology library is reduced by 16%.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.5
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• pp.3391-3398
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• 2015

Recently, the large scaled lead-acid battery is widely introduced to efficient operation of the photovoltaic system in many islands. but the demand of lithium-ion battery is getting increased by the operation of wind power and replacement of the lead-acid battery. And also, under the renewable portfolio standard(RPS) and energy efficiency resource standard(EERS) policy of Korea government, the introduction of energy storage system(ESS) has been actively increased. Therefore, this paper presents the operation algorithm of hybrid battery management system(BMS) using the lead-acid and lithium-ion batteries, in order to maximize advantage of each battery. In other words, this paper proposed the algorithm of state of charge(SOC) and hybrid operation algorithm to calculate the optimal composition rate considering the fixed cost and operation cost of each battery. From the simulation results, it is confirmed that the proposed algorithms are an effective tool to evaluate SOC and to optimally operate hybrid ESS.

• Journal of Korean Clinical Nursing Research
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• v.25 no.3
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• pp.275-284
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• 2019

Purpose: The purpose of this study was to analyze the current state of home health nursing (HHN) for elders and to provide basic data on policy alternatives for establishing home medical care in the advanced general hospital. Methods: This study was conducted as a secondary data analysis, using electronic medical record (EMR) data of older patients who received HHN more than once from the S advanced general hospital between January 2016 and December 2018. Results: A total of 1,790 patients received HHN visits, with 22,477 visits being made. The mean age was 76.8±7.3 years old, 96.0% of elders had health insurance and 24.6% had orthopedics problems. Of the 1,168 people who visited emergency rooms, the most frequent symptom was pain (23.4%) and all patients visited the hospital at least once and at most 163 times outpatient care during HHN. Causative diseases were degenerative knee joint osteoarthritis (0.6%), surgery for right knee replacement (4.0%), and for dressings (9.7%) in the HHN service content analysis. Conclusion: The progress towards an aging society and the introduction of community care are expected to further enhance the need for HHN which should be able to provide comprehensive and continuous visiting health care services to the older patients. The results of this study are expected to help doctors solve problems not solved by HHN, reduce unnecessary emergency room or outpatient visits, and readmission, while at the same time contributing to the improvement of patient quality of life through efficient patient health care.

• International Journal of Advanced Culture Technology
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• v.6 no.4
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• pp.323-330
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• 2018

The growth of the older population is expected to further increase social problems associated with population aging, such as isolation, poverty, and depression. The emerging issues associated with the older population are also expected to provide further momentum on studies about the dwelling environment as factors that ensure the health of older people as well as improve their quality of life. Therefore, approaches for explaining the issues of the older age group should be diversified using a variety of factors and appropriate analytic tools. Studies on measuring depression have principally focused on assessing an objective self-report questionnaire, usually in a highly structured, textual form which may not reflect the cognitive impairment of older adults. The aim of this study was to define and measure dwelling depression among older adults in Korea. There are two specific hypotheses in this study as follows: (a) there will be statistically significant relationships with dwelling dissatisfaction and depression, and (b) dwelling depression tools containing text and images will be, respectively, assessment tools that have a good construct with content validity and reliability. In the first experiment, to define and measure dwelling depression, 301 people over 65 years old living in single and two-person households were surveyed using a text-based dwelling depression questionnaires from September 1-30, 2017. In the second experiment, to examine whether the projective image questionnaire could serve as a suitable replacement for the text-based questionnaires, the same participants were surveyed from January 22 to February 2, 2018. The results show that depression has a close correlation with dwelling dissatisfaction. In addition, the geriatric dwelling depression index (GDDI) based on the projective image was refined. Additionally, the projective image questionnaire has a close correlation with the text-based questionnaire. Finally, through ROC curve analysis, it was found that the projective image questionnaire can accurately predict a depression group. To this end, this preliminary study examined the validity of the projective image questionnaire in older adults to make this instrument feasible for older populations and to contribute to a profound understanding of geriatric depression due to the living environment. We hope they will provide a basis for further research on psychological diagnoses using projective images.

• The Journal of the Korea Contents Association
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• v.21 no.4
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• pp.193-204
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• 2021

Based on risk-benefit theory, this study examined a structural equation model accounting for the mechanisms through which affective perceptions of AI predicting individuals' support for the government's Ai policies. Four perceived characteristics of AI (i.e., usefulness, entertainment value, privacy concern, threat of human replacement) were investigated in relation to perceived benefits/risks, attitudes toward AI, and AI policy support, based on a nationwide sample of South Korea (N=352). The hypothesized model was well supported by the data: Perceived usefulness was a strong predictor of perceived benefit, which in turn predicted attitude and support. Perceived benefit and attitude played significant roles as mediators. Perceived entertainment value along with perceived usefulness and privacy concern predicted attitude, not perceived benefit. Neither attitude nor support was significantly associated with perceived risk which was predicted by privacy concern. Theoretical and practical implications of the results are discussed.

• Journal of the Korea Society of Computer and Information
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• v.27 no.7
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• pp.9-16
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• 2022

Today, with the advent of the 4th industrial revolution, IoT (Internet of Things) systems are advancing rapidly. For this reason, a various application with high-performance and large-capacity are emerging. Therefore, there is a need for low-power and high-performance memory for computing systems with these applications. In this paper, we propose an effective structure for the L1 cache memory, which consumes the most energy in the computing system. The proposed cache system is largely composed of two parts, the L1 main cache and the buffer cache. The main cache is 2 banks, and each bank consists of a 2-way set association. When the L1 cache hits, the data is copied into buffer cache according to the proposed algorithm. According to simulation, the proposed L1 cache system improved the performance of energy delay products by about 65% compared to the existing 4-way set associative cache memory.

• Journal of the Korean Society of Food Culture
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• v.38 no.1
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• pp.1-14
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• 2023

This study was conducted to explore the change in the market issues on HMR (Home Meal Replacements) using local foods after the COVID-19 outbreak. Online text data were collected from internet news, social media posts, and web documents before (from January 2016 to December 2019) and after (from January 2020 to November 2022) the COVID-19 outbreak. TF-IDF analysis showed that 'Trend', 'Market', 'Consumption', and 'Food service industry' were the major keywords before the COVID-19 outbreak, whereas 'Wanju-gun', 'Distribution', 'Development', and 'Meal-kit' were main keywords after the COVID-19 outbreak. The results of topic modeling analysis and categorization showed that after the COVID-19 outbreak, the 'Market' category included 'Non-face-to-face market' instead of 'Event,' and 'Delivery' instead of 'Distribution'. In the 'Product' category, 'Marketing' was included instead of 'Trend'. Additionally, in the 'Support' category, 'Start-up' and 'School food service' appeared as new topics after the COVID-19 outbreak. In conclusion, this study showed that meaningful change had occurred in market issues on HMR using local foods after the COVID-19 outbreak. Therefore, governments should take advantage of such market opportunity by implementing policy and programs to promote the development and marketing of HMR using local foods.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.26 no.6
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• pp.221-234
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• 2023

This study was conducted to develop a habitat assessment system for the endangered wildlife II Kirengeshoma koreana Nakai through in-depth interviews with experts based on field surveys and environmental characteristics through spatial data analysis and literature research. Evaluation factors were selected based on the survey results of 31 variables for 23 K. koreana habitats. Afterwards, the importance and evaluation range for each assessment factor were selected. The selection of survey variables, assessment factors, importance of each factor and assessment range was conducted through in-depth interviews with experts at each stage. As a result, the assessment factors and importance were 16% for precipitation of the wettest month, 10% for vegetation zone, 12% for vegetation type, 10% for crown canopy vitality, 14% for tree layer coverage, 13% for drainage grade, 12% for soil depth, and 13% for distance to stream including dry stream. This study provides basic ecological information and a habitat assessment system for K. koreana habitats. Therefore, it can be used as primary data for preparing an endangered wildlife conservation policy, preparing a habitat improvement plan, and selecting an alternative habitat.

• World Technopolis Review
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• v.3 no.2
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• pp.89-96
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• 2014

Center for Research of Science and Technology ("PUSPIPTEK") has 460 hectares land area, still maintained as a green area with more than 30% green space. There are 47 centers for research and testing technology, technology-based industries, and as well as public supporting facilities in PUSPIPTEK area. Based on the concepts developed to make this area as an ecological region, PUSPIPTEK can be seen as a model of eco-innovation. The purpose of this research is to develop a model of water, energy and waste management with eco-innovation concept. As a new approach in addressing environmental degradation and maintaining the sustainability of ecosystem, studies related to eco-innovation policy that combines the management of water, energy and waste in the region has not been done. In order to achieve the objectives of the research, a series of techniques for collecting data on PUSPIPTEK existing conditions will be carried out, which includes utilities data (water, electricity, sewage) and master plan of this area. The savings over the implementation of the concept of eco-innovation in water, energy, and waste management were calculated and analyzed using quatitative methods. The amount of cost savings and feasibility were then calculated. Eco innovation in water management among other innovations include the provision of alternative sources of water, overflow of rain water and water environments utilization, and use of gravity to replace the pumping function. Eco-innovation in energy management innovations include the use of LED and solar cell for air conditioning. Eco-innovation in waste management includes methods of composting for organic waste management. The research results: (1) The savings that can be achieved with the implementation of eco innovation in the water management is Rp. 3,032,640 daily, or Rp.1,106,913,600 annually; (2) The savings derived from the implementation of eco innovation through replacement of central AC to AC LiBr Solar Powered will be saved Rp.1,933,992,990 annually and the use of LED lights in the Public street lighting PUSPIPTEK saved Rp.163,454,433 annually; (3) Application of eco innovation in waste management will be able to raise awareness of the environment by sorting organic, inorganic and plastic waste. Composting and plastic waste obtained from the sale revenue of Rp. 44,016,000 per year; (4) Overall, implementation of the eco-innovation system in PUSPIPTEK area can saves Rp. 3,248,377,023 per year, compared to the existing system; and (5)The savings are obtained with implementation of eco-innovation is considered as income. Analysis of the feasibility of the implementation of eco-innovation in water, energy, and waste management in PUSPIPTEK give NPV at a 15% discount factor in Rp. 3,895,228,761; 23.20% of IRR and 4.48 years of PBP. Thus the model of eco-innovation in the area PUSPIPTEK is feasible to implement.

• 한국사회정책
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• v.25 no.3
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• pp.3-35
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• 2018

This article critically reviews the arguments that deny the financial feasbility and effectiveness of universal basic income as an alternative to existing social security systems and makes some suggestions to design effective and efficient basic income schemes. Regarding the financial feasibility of universal basic income, I argue that replacement of the existing regressive tax expenditures with universal basic income without raising tax rates can effectively reduce tax burden or provide income support to a majority of people except the rich. Addition of basic income to the tax base and reduction of the number of beneficiaries of public assistance and the amount of cash payment for them can further help save money. Regarding the redistributive effect, I note that the targeting ability of the existing social security systems is not good and that "the paradox of redistribution" that universal-type programs tend to be more redistributive than selective programs applies to universal basic income as well. I demonstrate significant redistributive effect of a hypothetical revenue-neutral basic income scheme and reviews several empirical studies done in Korea and abroad to show that basic income can be more effective in redistribution than social insurances or public assistance programs. Lastly, I emphasize the need to construct a reliable tax-benefit microsimulation model to help researchers to study redistributive effects of basic income schemes and other taxes and social policies.