• Title/Summary/Keyword: Replacement measure

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National Pension Income Redistribution: The Case of Early Insureds by Net Benefit Measure (생애 순혜택으로 측정한 국민연금 초기 수급자들의 소득재분배)

  • Choi, Ki-Hong;Shin, Seung-Hee
    • The Korean Journal of Applied Statistics
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    • v.28 no.4
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    • pp.721-739
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    • 2015
  • The importance of the old age income security will increase for an aging society due to the deepening income polarization. The National Pension(NP) is a representative Social Security scheme in charge of old age income security as well as income redistribution for the insured. Studies by Kim (2002), Kim et al. (2003), and Hong (2013) have reported the possibility of unsatisfactory income redistribution of the NP. Recently Choi (2015) attributed those results to an unnoticed defect in the benefit formula. This study is a test for the unsatisfactory income redistribution of the current National Pension using early participants who have now become pensioners. The method aggregates cohorts and combines individual history data before the year 2013 and the results of the actuarial projection model of the 2013 after the year 2014. The results are divided by measures taken. The redistribution is obviously progressive by the income replacement rate; however, it is significantly regressive when measured by the net benefit theoretically as more plausible. Considering the effect of differing lifetime contribution year among income classes, the regressive redistribution will prevail more in the future pensioners.

Characteristics of Autogenous Shrinkage for Concrete Containing Blast-Furnace Slag (고로슬래그를 함유한 콘크리트의 자기수축 특성)

  • Lee Kwang-Myong;Kwon Ki-Heon;Lee Hoi-Keun;Lee Seung-Hoon;Kim Gyu-Yong
    • Journal of the Korea Concrete Institute
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    • v.16 no.5 s.83
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    • pp.621-626
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    • 2004
  • The use of blast-furnace slag (BFS) in making not only normal concrete but also high-performance concrete has several advantages with respect to workability, long-term strength and durability. However, slag concrete tends to show more shrinkage than normal concrete, especially autogenous shrinkage. High autogenous shrinkage would result in severe cracking if they are not controlled properly. Therefore, in order to minimize the shrinkage stress and to ensure the service life of concrete structures, the autogenous shrinkage behavior of concrete containing BFS should be understood. In this study, small prisms made of concrete with water-binder (cement+BFS) ratio (W/B) ranging from 0.27 to 0.42 and BFS replacement level of $0\%$, $30\%$, and $50\%$, were prepared to measure the autogenous shrinkage. Based on the test results, thereafter, material constants in autogenous shrinkage prediction model were determined. In particular, an effective autogenous shrinkage defined as the shrinkage that contributes to the stress development was introduced. Moreover, an estimation formula of the 28-day effective autogenous shrinkage was proposed by considering various W/B's. Test results showed that autogenous shrinkage increased with replacement level of BFS at the same W/B. Interestingly, the increase of autogenous shrinkage is dependent on the W/B at the same content of BFS; the lower W/B, the smaller increasing rate. In concluding, it is necessary to use the combination of other mineral admixtures such as shrinkage reducing admixture or to perform sufficient moisture curing on the construction site in order to reduce the autogenous shrinkage of BFS concrete.

A Methodology of Seismic Damage Assessment Using Capacity Spectrum Method (능력 스펙트럼법을 이용한 건물 지진 손실 평가 방법)

  • Byeon, Ji-Seok
    • Journal of the Earthquake Engineering Society of Korea
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    • v.9 no.3 s.43
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    • pp.1-8
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    • 2005
  • This paper describes a new objective methodology of seismic building damage assessment which is called Advanced Component Method(ACM). ACM is a major attempt to replace the conventional loss estimation procedure, which is based on subjective measures and the opinions of experts, with one that objectively measures both earthquake intensity and the response ol buildings. First, response of typical buildings is obtained analytically by nonlinear seismic static analysis, push-over analyses. The spectral displacement Is used as a measure of earthquake intensity in order to use Capacity Spectrum Method and the damage functions for each building component, both structural and non-structural, are developed as a function of component deformation. Examples of components Include columns, beams, floors, partitions, glazing, etc. A repair/replacement cost model is developed that maps the physical damage to monetary damage for each component. Finally, building response, component damage functions, and cost model were combined probabilistically, using Wonte Carlo simulation techniques, to develop the final damage functions for each building type. Uncertainties in building response resulting from variability in material properties and load assumptions were incorporated in the Latin Hypercube sampling technique. The paper also presents and compares ACM and conventional building loss estimation based on historical damage data and reported loss data.

Analysis of Defective Causes in Real Time and Prediction of Facility Replacement Cycle based on Big Data (빅데이터 기반 실시간 불량품 발생 원인 분석 및 설비 교체주기 예측)

  • Hwang, Seung-Yeon;Kwak, Kyung-Min;Shin, Dong-Jin;Kwak, Kwang-Jin;Rho, Young-J;Park, Kyung-won;Park, Jeong-Min;Kim, Jeong-Joon
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.19 no.6
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    • pp.203-212
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    • 2019
  • Along with the recent fourth industrial revolution, the world's manufacturing powerhouses are pushing for national strategies to revive the sluggish manufacturing industry. Moon Jae-in, the government is in accordance with the trend, called 'advancement of science and technology is leading the fourth round of the Industrial Revolution' strategy. Intelligent information technology such as IoT, Cloud, Big Data, Mobile, and AI, which are key technologies that lead the fourth industrial revolution, is promoting the emergence of new industries such as robots and 3D printing and the smarting of existing major manufacturing industries. Advances in technologies such as smart factories have enabled IoT-based sensing technology to measure various data that could not be collected before, and data generated by each process has also exploded. Thus, this paper uses data generators to generate virtual data that can occur in smart factories, and uses them to analyze the cause of the defect in real time and to predict the replacement cycle of the facility.

Development of household production satellite and application based on the establishment of concept and standardized measurement for household production (가정생산 위성계정의 개발 및 적용: 새로운 개념 정립과 표준화된 측정방법을 중심으로)

  • Park, Hyun-Jung;Hong, Hyunjeong;Huh, Kyungok
    • Journal of Family Resource Management and Policy Review
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    • v.17 no.2
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    • pp.55-74
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    • 2013
  • This research developed standardized satellite accounts for household production to measure the entire production in Korea using representative Korean data. This study utilized standardized methods for measuring the expenditure and consumption of expendable supplies as an element of intermediate goods in household production. The results of this research can be summarized as follows. First, the total value of household production in Korea in 2009 turned was 268 trillion won, which would be 10.16% of the GDP, based on using the method of replacement by specialty for estimating the value of housework, while it was 356 trillion won, which would be 13.5% of the GDP (2,636 trillion won), based on the method of opportunity cost. Second, the economic value of labor invested in household production was 220 trillion won when using the data from 12 main corresponding wages in the market, while it was 203 trillion won when using the method of total replacement, which used the wages of housekeepers, and 290 trillion won when using the method of opportunity cost in measuring the value of housework labor. Third, in estimating the proportion by section in terms of the total value of household production, the portion of labor in household production was measured from 76% to 82%, depending on the methods used, which is the most significant section. These results indicate that housework has the characteristics of labor-centered work. On the other hand, the value of expenditure on and consumption of expendable supplies, as one element of intermediate goods, is 63 trillion won, which is 17.7% (using the method of opportunity cost in measuring the labor of housework) of household production. Also, the value of capital goods, as the other element of intermediate goods is 2.3 trillion won, which is 0.9% (using the method of opportunity cost) of household production. In conclusion, as an element of household production, housework labor was higher in household production than expenditures on expendables, especially for cooking, cleaning, and caring for children. In the future, people should be cautious about estimating that the amount of household work could be reduced, as women's labor in the market and the household work produced by the market will increase.

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Analysis of demonstration research on solar heat pump system for room and hot water heating in the southern part of South Korea (남부지역의 태양열이용 열펌프식 온수.난방시스템의 실증연구 분석)

  • Sun, Kyung Ho;Kim, Ki Sun
    • 한국신재생에너지학회:학술대회논문집
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    • 2010.06a
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    • pp.198.1-198.1
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    • 2010
  • The goal of this study is to measure and compare the performance of solar heat pump for room and hot water heating. To accomplish the goal, solar heat pump with alumium roll bond type evaporator and indoor heat exchanger(condenser) was built and fully instrumented with thermocouples and pressure transducers etc. The test results showed that the COP(coefficient of performance) of HFC-134a($CF_3CH_2F$) were higher than those of CFC-12($CF_2Cl_2$). One "stratospherically safe" new refrigerant is 1,1,1,2-tetrafluoroethane(HFC-134a), which is thermodynamically similar to CFC-12 and considered to be a potential direct replacement for CFC-12 in air-conditioning and refrigeration applications. The solar heat pump system for room heating was designed to show the best efficiency that the room temperature make $18{\sim}20^{\circ}C$ and $23{\sim}25^{\circ}C$ in the southern part of South Korea during November, December, and January.

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Developing an Instrument to Measure Climacteric Symptoms among Korean and Japanese Women

  • Song Ae-Ri;Oishi Kazuyo;Suh Euy-Hoon;Miyahara Harumi;Nakajima Hisayoshi;Nakao Yuko;Araki Miyuki;Yamasaki Makiko
    • Journal of Korean Academy of Nursing
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    • v.36 no.4
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    • pp.637-644
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    • 2006
  • Purpose. The purpose of this study was to construct a measurement instrument for climacteric symptoms among Korean and Japanese women. Methods. From Dec. $1^{st}$ of 2003 to March $30^{th}$ of 2004, in-depth interviews were made with 26 women (15 in Jinju, Korea and 11 in Nagasaki, Japan) aged from 45 to 59 years who had not taken hormone replacement therapy to relieve the climacteric symptoms. A draft questionnaire with 45 items was constructed on the basis of the interview data and literature review. Three obstetricians, three PhDs in nursing science, and a chief nurse who was exclusively in charge of the climacteric management, examined the draft questionnaire to evaluate content validity. After deletions 39 items remained for a preliminary questionnaire. A survey was conducted by using a convenient sampling method in Jinju of Korea and Nagasaki of Japan during the period from April $1^{st}$, 2004 to July $10^{th}$, 2005. Results. Factor analysis identified 4 factors, which were 'mental and psychological symptoms', 'physical symptoms', 'loss of autonomic nervous system symptoms', 'sexual symptoms'. These four factors explained 46.9% of total variance. Conclusions. The results demonstrated that climacteric symptom scale was multidimensional, and the reliability and validity of the scale was supported.

A Study on Optimal Design for Linear Electromagnetic Generator of Electricity Sensor System using Vibration Energy Harvesting (진동에너지 하베스팅을 이용한 전력감지시스템용 리니어 전자기 발전기에 관한 최적설계)

  • Cho, Seong Jin;Kim, Jin Ho
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.16 no.2
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    • pp.7-15
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    • 2017
  • Recently, an electricity sensor system has been installed and operated to prevent failures and accidents by identifying whether a transformer is normal in advance of failure. This electricity sensor system is able to both measure and monitor the transformer's power and voltage remotely and send information to a manager when unusual operation is discovered. However, a battery is required to operate power detection devices, and battery systems need ongoing management such as regular replacement. In addition, at a maintenance cost, occasional human resources and worker safety problems arise. Accordingly, we apply a linear electromagnetic generator using vibration energy from a transformer for an electric sensor system's drive in this research and we conduct optimal design to maximize the linear electromagnetic generator's power. We consider design variables using the provided design method from Process Integration, Automation, and Optimization (PIAnO), which is common tool from process integration and design optimization (PIDO). In addition, we analyze the experiment point from the design of the experiments using "MAXWELL," which is a common electromagnet analysis program. We then create an approximate model and conduct accuracy verification. Finally, we determine the optimal model that generates the maximum power using the proven approximate kriging model and evolutionary optimization algorithm, which we then confirm via simulation.

Wire Rope Fault Detection using Probability Density Estimation (확률분포추정기법을 이용한 와이어로프의 결함진단)

  • Jang, Hyeon-Seok;Lee, Young-Jin;Lee, Kwon-Soon
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.61 no.11
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    • pp.1758-1764
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    • 2012
  • A large number of wire rope has been used in various inderstiries as Cranes and Elevators from expanding the scale of the industrial market. But now, the management of wire rope is used as manually operated by rope replacement from over time or after the accident.It is caused to major accidents as well as economic losses and personal injury. Therefore its time to need periodic fault diagnosis of wire rope or supply of real-time monitoring system. Currently, there are several methods has been reported for fault diagnosis method of the wire rope, to find out the feature point from extracting method is becoming more common compared to time wave and model-based system. This method has implemented a deterministic modeling like the observer and neural network through considering the state of the system as a deterministic signal. However, the out-put of real system has probability characteristics, and if it is used as a current method on this system, the performance will be decreased at the real time. And if the random noise is occurred from unstable measure/experiment environment in wire rope system, diagnostic criterion becomes unclear and accuracy of diagnosis becomes blurred. Thus, more sophisticated techniques are required rather than deterministic fault diagnosis algorithm. In this paper, we developed the fault diagnosis of the wire rope using probability density estimation techniques algorithm. At first, The steady-state wire rope fault signal detection is defined as the probability model through probability distribution estimate. Wire rope defects signal is detected by a hall sensor in real-time, it is estimated by proposed probability estimation algorithm. we judge whether wire rope has defection or not using the error value from comparing two probability distribution.

Validation and Recommendation of Methods to Measure Biogas Production Potential of Animal Manure

  • Pham, C.H.;Triolo, J.M.;Cu, T.T.T.;Pedersen, L.;Sommer, S.G.
    • Asian-Australasian Journal of Animal Sciences
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    • v.26 no.6
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    • pp.864-873
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    • 2013
  • In developing countries, biogas energy production is seen as a technology that can provide clean energy in poor regions and reduce pollution caused by animal manure. Laboratories in these countries have little access to advanced gas measuring equipment, which may limit research aimed at improving local adapted biogas production. They may also be unable to produce valid estimates of an international standard that can be used for articles published in international peer-reviewed science journals. This study tested and validated methods for measuring total biogas and methane ($CH_4$) production using batch fermentation and for characterizing the biomass. The biochemical methane potential (BMP) ($CH_4$ NL $kg^{-1}$ VS) of pig manure, cow manure and cellulose determined with the Moller and VDI methods was not significantly different in this test (p>0.05). The biodegradability using a ratio of BMP and theoretical BMP (TBMP) was slightly higher using the Hansen method, but differences were not significant. Degradation rate assessed by methane formation rate showed wide variation within the batch method tested. The first-order kinetics constant k for the cumulative methane production curve was highest when two animal manures were fermented using the VDI 4630 method, indicating that this method was able to reach steady conditions in a shorter time, reducing fermentation duration. In precision tests, the repeatability of the relative standard deviation (RSDr) for all batch methods was very low (4.8 to 8.1%), while the reproducibility of the relative standard deviation (RSDR) varied widely, from 7.3 to 19.8%. In determination of biomethane concentration, the values obtained using the liquid replacement method (LRM) were comparable to those obtained using gas chromatography (GC). This indicates that the LRM method could be used to determine biomethane concentration in biogas in laboratories with limited access to GC.