• Title/Summary/Keyword: Critical Factor of Using

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Evaluation of Radiation Exposure Dose for Examination Purposes other than the Critical Organ from Computed Tomography: A base on the Dose Reference Level (DRL) (전산화단층촬영에서 촬영 목적 부위와 주변 결정장기에 대한 피폭선량 평가: 선량 권고량 중심으로)

  • Lee, Seoyoung;Kim, Kyunglee;Ha, Hyekyoung;Im, Inchul;Lee, Jaeseung;Park, Hyonghu;Kwak, Byungjoon;Yu, Yunsik
    • Journal of the Korean Society of Radiology
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    • v.7 no.2
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    • pp.121-129
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    • 2013
  • In this study measured patient exposure dose for purpose exposure area and peripheral critical organs by using optically stimulated luminescence dosimeters (OSLDs) from computed tomography (CT), based on the measurement results, we predicted the radiobiological effects, and would like to advised ways of reduction strategies. In order to experiment, OSLDs received calibration factor were attached at left and right lens, thyroid, field center, and sexual gland in human body standard phantom that is recommended in ICRP, and we simulated exposure dose of patients in same condition that equal exposure condition according to examination area. Average calibration factor of OSLDs were $1.0058{\pm}0.0074$. In case of left and right lens, equivalent dose was measure in 50.49 mGy in skull examination, 0.24 mGy in chest, under standard value in abdomen, lumbar spine and pelvis. In case of thyroid, equivalent dose was measured in 10.89 mGy in skull examination, 7.75 mGy in chest, 0.06 mGy in abdomen, under standard value in lumber spine and pelvis. In case of sexual gland, equivalent dose was measured in 21.98 mGy, 2.37 mGy in lumber spine, 6.29 mGy in abdomen, under standard value in skull examination. Reduction strategies about diagnosis reference level (DRL) in CT examination needed fair interpretation and institutional support recommending international organization. So, we met validity for minimize exposure of patients, systematize influence about exposure dose of patients and minimize unnecessary exposure of tissue.

Determinants of Demand for Long-Term Care (장기요양서비스 수요의 결정요인)

  • Chung, Wankyo
    • KDI Journal of Economic Policy
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    • v.31 no.1
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    • pp.139-167
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    • 2009
  • A new public insurance for long-term care was introduced in July 2008 to provide for the rising demand for long-term care as the population is aging rapidly. The demand for long-term care is expected to rise further because more and more elderly are living alone or in households with only other elderly, such as his/her spouse, without informal care of their adult children. Even when the elderly are living together with their adult children, daughters and daughters in law, once the main informal care-givers, are not available because they choose to become economically active and work more over time. Experiences of countries such as Japan and Germany with similar public long-term care insurance scheme highlight the importance of detailed analysis on the demand for long-term care for the financial stability of the insurance scheme. Countries which had underestimated the demand for long-term care at the time of adopting the scheme went through financial instability of insurance schemes. This study analyzes the determinants of the demand for long-term care using data from the second demonstration project (April 2006~April 2007) of the long-term care insurance scheme for the elderly in Korea. Taking full advantage of detailed data on the long-term care, this paper analyzes the eligibility for the long-term care insurance scheme and its use. According to study results, even when common diseases among the elderly such as cancer, diabetes, arthritis, dementia, hypertension, etc. are controlled together with other individual and socioeconomic factors, limitations the elderly are faced with in their twelve activities of daily living significantly affect the eligibility for the Korean Long-term Care Insurance Scheme. This means that limitations in daily living activities are more critical than common diseases among the elderly are to the eligibility for the Korean Long-term Care Insurance Scheme. Bathing and toileting problems have been found to be the most important factor affecting the eligibility for the insurance scheme, followed by eating, dressing and moving around inside the house. Moreover, the choices of whether to use long-term care and which to use between home care and institutional care are found to be significantly influenced by health status and various socioeconomic factors of the elderly. In particular, those with more limitations in daily living activities and the female elderly are more likely to use long-term care and institutional care rather than home care. As for home care users, those living alone or with adult children and those with monthly household income of more than 500,000 won are more likely to use home care. Most importantly, even when the monthly household income of the elderly is controlled, the elderly recipients of the National Basic Living Security, who are not charged for long-term care, are more likely to choose home care. This implies that price as well as income is a critical factor for the decision to use long-term care. Further study on the duration of long-term care use will surely enhance the long-term care policy, when panel data is available for simultaneous analysis of the likelihood of long-term care use and its use duration.

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Factors Influencing Peripheral Blood Stem Cell Collection (자가 말초혈액 조혈모세포 채집에 영향을 주는 관련요인)

  • Choi, Yong-Suk;Kim, Kwang-Sung;Kim, Youn-Soon;Hwang, Mee-Jung;Cho, Hyung-Suk;Kim, Su-Mi
    • Asian Oncology Nursing
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    • v.8 no.1
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    • pp.1-7
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    • 2008
  • Purpose: Peripheral blood stem cell transplantation (PBSCT) has been widely used. The optimal time for collection is a critical factor to obtain proper counts of CD34 cell by peripheral blood stem cell collection (PBSC). The purpose of this study was to identify the factors influencing peripheral blood stem cell collection in order to figure out the more effective timing for PBSC. Method: The subjects of this study were 189 patients undergoing 3 leukapheresis from January 28, 2005 to December 31,2006. Group's characteristics, checkup opinion of pre-peripheral blood on the day of harvest & outcome of PBSC were analyzed and evaluated using SAS statistics program after grouping patients as below; group 1-CD34 cell counts $<2{\times}10^6/kg$ (n=97); group $2-2{\times}10^6/kg$ ${\leq}CD34$ cell counts $<4{\times}10^6/kg$ (n=26); group 3-CD34 cell counts ${\geq}4{\times}10^6/kg$ (n=63). Results: Based on outcome of peripheral blood stem cell according to diagnosis, acute myelocytic leukemia (AML) was 65.5% at Group 1, Lymphoma was 21.7% at Group 2 and multiple myeloma (MM) was 70.8% at Group 3. There were significant differences in CD34 cell counts according to diagnosis (p=0.00004). Type of cytokine mobilization according to diagnosis, Lenograsim was using 62.5% of MM & 38.2% of AML and filgrastim is using 22.0% of AML only. Circular peripheral blood CD34 cell counts prior to harvest was $258.1/{\mu}L$ at Group 3 which was much higher comparing to Group 1 ($10.5/{\mu}L$) and Group 2 ($39.9/{\mu}L$) (p<0.001). TNC counts of collected peripheral blood stem cell was $15.36{\times}10^6/kg$ at Group 3 and it's much higher than Group 2 ($13.16{\times}10^6/kg$) and Group 1 ($12.36{\times}10^6/kg$) (p=0.083). There was no significant difference in MNC counts inbetween 3 groups. Conclusions: Circular peripheral blood CD34+ cell counts prior to harvest was much higher at Group 3 than Group 1 and Group 2. Therefore, the number of CD34+ cells on the day of harvest can be used as an accurate predictor for peripheral blood stem cell.

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Preference-based Supply Chain Partner Selection Using Fuzzy Ontology (퍼지 온톨로지를 이용한 선호도 기반 공급사슬 파트너 선정)

  • Lee, Hae-Kyung;Ko, Chang-Seong;Kim, Tai-Oun
    • Journal of Intelligence and Information Systems
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    • v.17 no.1
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    • pp.37-52
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    • 2011
  • Supply chain management is a strategic thinking which enhances the value of supply chain and adapts more promptly for the changing environment. For the seamless partnership and value creation in supply chains, information and knowledge sharing and proper partner selection criteria must be applied. Thus, the partner selection criteria are critical to maintain product quality and reliability. Each part of a product is supplied by an appropriate supply partner. The criteria for selecting partners are technological capability, quality, price, consistency, etc. In reality, the criteria for partner selection may change according to the characteristics of the components. When the part is a core component, quality factor is the top priority compared to the price. For a standardized component, lower price has a higher priority. Sometimes, unexpected case occurs such as emergency order in which the preference may shift on the top. Thus, SCM partner selection criteria must be determined dynamically according to the characteristics of part and its context. The purpose of this research is to develop an OWL model for the supply chain partnership depending on its context and characteristics of the parts. The uncertainty of variable is tackled through fuzzy logic. The parts with preference of numerical value and context are represented using OWL. Part preference is converted into fuzzy membership function using fuzzy logic. For the ontology reasoning, SWRL (Semantic Web Rule Language) is applied. For the implementation of proposed model, starter motor of an automobile is adopted. After the fuzzy ontology is constructed, the process of selecting preference-based supply partner for each part is presented.

Current Limiting and Recovery Characteristics of Two Magnetically Coupled Type SFCL with Two Coils Connected in Parallel Using Dual Iron Cores (이중철심을 이용한 병렬연결된 자기결합형 초전도한류기의 전류제한 및 회복특성)

  • Ko, Seok-Cheol;Lim, Sung-Hun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.5
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    • pp.717-722
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    • 2016
  • In this paper, in order to support the peak current limiting function depending on the intensity of the fault current at the early stage of failure, a two magnetically coupled type superconducting fault current limiter (SFCL) is proposed, which includes high-Tc superconducting (HTSC) element 1, where the existing primary and secondary coils are connected to one iron core in parallel, and HTSC element 2, which is connected to the tertiary winding using an additional iron core. The results of the experiments in this study confirmed that the two magnetic coupling type SFCL having coil 1 and coil 2 connected in parallel using dual iron cores is capable of having only HTSC element 1 support the burden of the peak current when a failure occurs. The reason for this is that although HTSC element 1 was quenched and malfunctioned because the instantaneous factor of the initial fault current was large, the current flowing to coil 3 did not exceed the critical current, which would otherwise cause HTSC element 2 to be quenched and not function. In order to limit the peak current upon fault through the sequential HTSC elements, the design should allow it to have the same value as the low value of coil 1 while having coil 3 possess a higher self-inductance value than coil 2. In addition, a short-circuit simulation experiment was conducted to examine and validate the current limiting and recovery characteristics of the SFCL when the winding ratio between coil 1 and coil 2 was 0.25. Through the analysis of the short-circuit tests, the current limiting and recovery characteristics in the case of the additive polarity winding was confirmed to be superior to that of the subtractive polarity winding.

New Business Success using Strategic Innovation Strategy: Marine Engine Business and HEMAPT System of the Hyundai Heavy Industries Co. (신규사업성공과 전략적 기술혁신전략: 현대중공업의 엔진사업진출과 HEMAPT시스템 개발)

  • Kim, Wha Young
    • Journal of Service Research and Studies
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    • v.6 no.2
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    • pp.23-35
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    • 2016
  • Firms should seek greater profits and corporate growth through new businesses. New businesses contribute realizing creative economy that creates good jobs, and expanding the company by securing new markets and creating new profits and growth. However, new business is risky management decision-making to have a high failure rate because it involves the adaptation of new business environment and the burden of new investments, including the uncertainty of success in business. Therefore, innovation strategies play important roles for the new business entry, using product innovation, process innovation, business model innovation, disruptive innovation, and strategic innovation, etc. and company will get huge economic results by pushing them into successful business. It is essential that innovation strategy and IT development strategy along with business strategy of a firm are linked, and their strategic alignment is considered to be a critical success factor for new business success. Hyundai Heavy Industries(HHI) pursued marine engine business for the development of precision machinery industry and shipbuilding industry of Korea, and the company recognized the importance of new business strategy, innovation strategy, and IT strategy inter-linked, and pushed strategic alignment boldly. As a result, HHI won the competition in European and Japanese engine manufacturers and climbed into the world's largest engine manufacturer. This study suggests investigating and analyzing a case that HHI succeeded in marine engine business expansion using strategic innovation strategy as a way of the introduction of CNC machine tools and the development of HEMAPT system.

Prediction of Tcv for Coal Slags under Reducing Condition (환원 조건에서 석탄 슬래그의 Tcv 예측)

  • Park, Yoonkyung;Oh, Myungsook
    • Korean Chemical Engineering Research
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    • v.44 no.6
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    • pp.623-630
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    • 2006
  • The slag viscosity is an important factor determining the operation temperature of entrained flow type of gasifiers. The temperature of critical viscosity, $T_{cv}$, for 5 crystalline slags was predicted by empirical models and FactSage equilibrium calculations, and the validity of each method was tested. Two empirical models were employed: one using $T_h$ from the ash fusion test, and the other using the concentrations of 5 major components. The first model using $T_h$ over-predicted $T_{cv}$ by $20{\sim}100^{\circ}C$, while the model based on the slag composition under-predicted $T_{cv}$ by $80{\sim}120^{\circ}C$. In the equlibrium calculations, $T_{cv}$ was obtained from the liquidus temperature. When the 4-major component concentrations were used in the calculation, the predicted temperatures were higher than the observed. The liquidus temperature was very sensitive to the concentrations of minor components, and the addition of MgO and $Na_2O$ lowered the liquidus temperature. The results with 4 major and 3 minor components most closely described experimentally observed $T_{cv}$. In the case that a chromia refractory was used, it was shown that $Cr_2O_3$ concentration in the slag also needs to be included for more accurate prediction of $T_{cv}$.

Soil Organic Carbon Determination for Calcareous Soils (석회암 유래 토양의 토양유기탄소 분석법 연구)

  • Jung, Won-Kyo;Kim, Yoo-Hak
    • Korean Journal of Soil Science and Fertilizer
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    • v.39 no.6
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    • pp.396-402
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    • 2006
  • Soil organic carbon has long been considered as the most critical factor to evaluate the soil quality, fertility, and fertilizer prescription. In addition, soil organic carbon may impact on greenhouse gas effects and global warming. Because of that, the management of soil organic carbon is increasingly important not only for improving soil quality but also for managing soil as a greenhouse gas source. Both wet and dry combustion have been used to determine soil organic carbon. Many benefits, such as automation and less labor, could the dry combustion method become more popular. Inorganic form of carbon could overestimate soil organic carbon when the dry combustion method was applied. Determination of soil inorganic carbon may contribute to the improved accuracy of soil organic carbon analysis using dry combustion method. Objectives of this research were 1) to develop soil inorganic carbon determination method using modified digital pressure calcimeter and 2) to evaluate soil organic carbon from calcareous soils using the dry and wet combustion method. Results showed that the significant linear relationship was found between soil inorganic carbon content and pressure calcimeter output. Inorganic carbon ranged from 22% to 28% of total carbon in the calcareous soil samples. Soil organic carbon content by dry combustion for calcareous soil was determined by subtracting inorganic carbon measured by the digital pressure calcimeter from total carbon. Soil organic carbon determined by dry combustion method was significantly correlated with that by wet combustion method. In conclusion, the digital pressure calcimeter may use to improve soil organic carbon determination for the calcareous soils by subtracting of soil inorganic carbon from total carbon determined by dry combustion method.

Consumers' Perception of Intelligent Vehicle (지능형 자동차에 대한 소비자의 인식 유형 연구)

  • Kim, Gibum;Lee, Hyejung;Lee, Jungwoo
    • The Journal of the Korea Contents Association
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    • v.18 no.12
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    • pp.405-420
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    • 2018
  • As the intelligent vehicle market continues to develop relevant technologies and services for consumers, it is necessary to understand the characteristics of potential consumers. The purpose of this study is to identify and understand the types of potential consumers of intelligent vehicle using the Q-methodology. A Q-frame was constructed using thirty six statements from intelligent vehicle related literature concerning core technology, technology acceptance and personal consumption value, legal system and policy and social awareness. Q-sorting and in-depth interviews were conducted using thirty nine P-samples snowballed. Analysis produced four types of potential consumers for intelligent vehicle: Smart Car Consumer, Reasonable Consumer, Safety Car Consumer, and Smart Device Consumer. Smart Car Consumer value the vehicle capability of intelligent vehicle as most important while Reasonable Consumer focus upon the economics of intelligent vehicle. Safety Car Consumer recognize the safety of intelligent vehicle as most important while Smart Device Consumer highly value the IT functions provided by intelligent vehicles. Across these four different types of consumers, preventing injuries of intelligent vehicle drivers turned out to be the most common critical factor in assessing intelligent vehicle. Implications for the intelligent vehicle market is discussed at the end with further studies needed.

Real-time Reservoir Dam Status Evaluation System Using Wireless Sensor Network System (무선 센서 네트워크 시스템을 이용한 실시간 저수지 댐의 상태평가 시스템)

  • Yoo, Chanho;Kim, Seungwook;Hwang, Jungsoon;Na, Gihyuk;You, Kwangho
    • Journal of the Korean GEO-environmental Society
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    • v.19 no.12
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    • pp.41-46
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    • 2018
  • The wireless sensor network system has the advantage of confirming the behavior of the entire facility by improving the disadvantages of conventional monitoring system. As a result, it is widely proposed as safety diagnosis and measurement of structures, water management systems, and management systems for dam structures. However, there is a lack of research that can evaluate the condition of facilities such as safety at the same time as monitoring. In this study, it is proposed a wireless sensor network system which can evaluate the behavior characteristics of facilities and evaluate the safety status for improving the technical disadvantages on conventional monitoring system. The geotechnical risk factors for the reservoir dam facility were evaluated and the limit values for the risk factors causing the failure of the facility were set. In other words, the system was set up so that the risk factors can be measured and the limit status can be evaluated immediately for each factor. In this study, numerical analysis is carried out for seepage and slope stability analysis using the typical cross section for reservoir dams. The stress-porewater coupling finite difference numerical analysis is performed for establishing the limit displacement for reservoir dam structures. It is developed a system that can estimate the time to reach the critical value by regression analysis using the measured datas.