• Title/Summary/Keyword: Lead Shift

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Plan and Suggestion for the Cooperatives Milk Campaign Improvement (우유 공동 광고 캠페인의 개선 방향 및 제언)

  • Baek, In-Woong
    • Journal of Dairy Science and Biotechnology
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    • v.17 no.1
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    • pp.39-49
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    • 1999
  • Since IMF relief financing, domestic economy has been rapidly cooled down. At this point that we predict an overall decrease of production and sale of industries, cooperative marketing activities of the whole dairy industry are required to promote milk consumption. As everyone knows, advertisement is only one of the various factors that affect sales. Other factors include price, distribution, package, promotion, and consumer's needs and taste. The objectives of the cooperative advertising campaign should be trial purchase of new consumers, maintenance of brand loyalty of existing consumers, more positive experience of using the product, and increase of frequency of purchase. Long term analysis is essential to making these kinds of behaviour changes. Also the objectives of the communication program should be a shift of awareness of milk from 'a basic health food for children' to a substitute to the beverage even for adults. To share database of consumers among companies, we need to find ways to use interactive on-line services, the internet, D.M. events and so on as well as the mass media. It should be a precondition that the main body of the cooperative advertisement includes the milk processing board, dairy companies, livestock cooperations, farmers and the Government. To assure continuous, activities to promote milk consumption, the Government should take the lead in legislating 'An enforcement ordinance for milk promotion and research', and seek complementary measures and support to establish the ordinance.

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Creep Damage Evaluation of High-Temperature Pipeline Material for Fossil Power Plant by Ultrasonic Frequency Analysis Spectrum Method (초음파 주파수분석법에 의한 발전소 고온배관재료의 크리프손상 평가)

  • Chung, Min-Hwa;Lee, Sang-Guk
    • Journal of Ocean Engineering and Technology
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    • v.13 no.2 s.32
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    • pp.90-98
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    • 1999
  • Boiler high-temperature pipelines such as main steam pipe, header and steam drum in fossil power plants are degraded by creep damage due to severe operationg conditions like high temperature and high pressure for an extended period time. Such material degradation lead to various component faliures causing serious accidents at the plant. Conventional measurement techniques such as replica method, electric resistance method, and hardness test method have such disadvantages as complex preparation and measurement procedures, too many control parameters, and therefore, low practicality and they were applied only to component surfaces with good accessibility. In this study, both artificial creep degradation test using life prediction formula and frequency analysis by ultrasonic tests for their preparing creep degraded specimens have been carried out for the purpose of nondestructive evaluation for creep damage which can occur in high-temperature pipelline of fossil power plant. As a result of ultrasonic tests for crept specimens, we confirmed that the high frequency side spectra decrease and central frequency components shift to low frequency bans, and bandwiths decrease as increasing creep damage in backwall echoes.

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The Behavior of the Term Structure of Interest Rates with the Markov Regime Switching Models (마코프 국면전환을 고려한 이자율 기간구조 연구)

  • Rhee, Yu-Na;Park, Se-Young;Jang, Bong-Gyu;Choi, Jong-Oh
    • Journal of Korean Institute of Industrial Engineers
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    • v.36 no.3
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    • pp.203-211
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    • 2010
  • This study examines a cointegrated vector autoregressive (VAR) model where parameters are subject to switch across the regimes in the term structure of interest rates. To employ the regime switching framework, the Markov-switching vector error correction model (MS-VECM) is allowed to the regime shifts in the vector of intercept terms, the variance-covariance terms, the error correction terms, and the autoregressive coefficient parts. The corresponding approaches are illustrated using the term structure of interest rates in the US Treasury bonds over the period of 1958 to 2009. Throughout the modeling procedure, we find that the MS-VECM can form a statistically adequate representation of the term structure of interest rate in the US Treasury bonds. Moreover, the regime switching effects are analyzed in connection with the historical government monetary policy and with the recent global financial crisis. Finally, the results from the comparisons both in information criteria and in forecasting exercises with and without the regime switching lead us to conclude that the models in the presence of regime dependence are superior to the linear VECM model.

A Secure Identity Management System for Secure Mobile Cloud Computing (안전한 모바일 클라우드 컴퓨팅을 위한 ID 관리 시스템)

  • Brian, Otieno Mark;Rhee, Kyung-Hyune
    • Annual Conference of KIPS
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    • 2014.11a
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    • pp.516-519
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    • 2014
  • Cloud computing is an up-and-coming paradigm shift transforming computing models from a technology to a utility. However, security concerns related to privacy, confidentiality and trust are among the issues that threaten the wide deployment of cloud computing. With the advancement of ubiquitous mobile-based clients, the ubiquity of the model suggests a higher integration in our day to day life and this leads to a rise in security issues. To strengthen the access control of cloud resources, most organizations are acquiring Identity Management Systems (IDM). This paper presents one of the most popular IDM systems, specifically OAuth, working in the scope of Mobile Cloud Computing which has many weaknesses in its protocol flow. OAuth is a Delegated Authorization protocol, and not an Authentication protocol and this is where the problem lies. This could lead to very poor security decisions around authentication when the basic OAuth flow is adhered to. OAuth provides an access token to a client, so that it can access a protected resource, based on the permission of the resource owner. Many researchers have opted to implement OpenlD alongside OAuth so as to solve this problem. But OpenlD similarly has several security flows. This paper presents scenarios of how insecure implementations of OAuth can be abused maliciously. We incorporate an authentication protocol to verify the identities before authorization is carried out.

An Analysis of Human Reliability by Industrial Accident Statistics Data (산업재해 통계자료를 이용한 인간 신뢰성 분석)

  • 김종환;장순태
    • Journal of Korea Society of Industrial Information Systems
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    • v.7 no.4
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    • pp.46-52
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    • 2002
  • Due to the administrative expand and the paradigm shift in global environments, the range for the enterprises assessment are now expanding to inclusive administration assessment including all kinds of accidents in work places as well as products and services. Therefore continuous investment and concern to safety and health are needed since some faults in safety and health lead to the enormous expense as well as decline of brand image. In this paper, n are concerned with the safety administration in industrial field and analyze the accident data, before and after the establishment of specialized organization for accident prevention, using the reliability growth model of Duane. The validity of the model is verified under the assumptions of NHPP(non-homegeneous Poisson process) of the accidents.

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Job Stress, Fatigue, Job Satisfaction and Commitment to Organization in Emergency Department Nurses (응급실 간호사의 직무 스트레스, 피로, 직무 만족 및 조직 몰입)

  • Oh, Myung Ok;Sung, Mi Hae;Kim, Yang Won
    • Journal of Korean Clinical Nursing Research
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    • v.17 no.2
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    • pp.215-227
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    • 2011
  • Purpose: This research was done to identify relationships among job stress, fatigue, job satisfaction, and commitment to organization in emergency department nurses. Methods: Research participants were 513 nurses who worked in the emergency department of 17 tertiary centers and 28 secondary hospitals. Data collection for this descriptive correlational study was done from May to July 2010 using self report questionnaires, and analyzed using descriptive statistics, t-test, ANOVA, Pearson correlation coefficient with the SAS 9.2 program. Results: There were statistically significant differences in organizational commitment according to age, religion, total clinical experience, emergency department experience, current position, frequency of night shift, average sleep hours, wage level, numbers of beds in unit, and reason for working. A positive correlation was found between job stress and fatigue, and between job satisfaction and commitment to organization for the emergency department nurses and a negative correlation between job stress and Job satisfaction, and fatigue and Job satisfaction. Conclusion: Results of this research indicate that job stress in emergency department nurses was the principal variable affecting job satisfaction and commitment to organization along with fatigue. Appropriate stress management strategies based on identification of job stress for these nurses should lead to development of improved management of nursing manpower and a reduction in stress.

Machine Learning SNP for Classification of Korean Abalone Species (Genus Haliotis) (전복류(Genus Haliotis)의 분류를 위한 단일염기변이 기반 기계학습분석)

  • Noh, Eun Soo;Kim, Ju-Won;Kim, Dong-Gyun
    • Korean Journal of Fisheries and Aquatic Sciences
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    • v.54 no.4
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    • pp.489-497
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    • 2021
  • Climate change is affecting the evolutionary trajectories of individual species and ecological communities, partly through the creation of new species groups. As population shift geographically and temporally as a result of climate change, reproductive interactions between previously isolated species are inevitable and it could potentially lead to invasion, speciation, or even extinction. Four species of abalone, genus Haliotis are present along the Korean coastline and these species are important for commercial and fisheries resources management. In this study, genetic markers for fisheries resources management were discovered based on genomic information, as part of the management of endemic species in response to climate change. Two thousand one hundred and sixty one single nucleotide polymorphisms (SNPs) were discovered using genotyping-by-sequencing (GBS) method. Forty-one SNPs were selected based on their features for species classification. Machine learning analysis using these SNPs makes it possible to differentiate four Haliotis species and hybrids. In conclusion, the proposed machine learning method has potentials for species classification of the genus Haliotis. Our results will provide valuable data for biodiversity conservation and management of abalone population in Korea.

Aesthetic treatment of frontal sinus fractures and their complications (미용적인 측면을 고려한 전두동 골절과 합병증의 치료)

  • Kim, Kwang Seog;Hwang, Jae Ha
    • Journal of the Korean Medical Association
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    • v.61 no.12
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    • pp.732-739
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    • 2018
  • The frontal sinus is a functionally important structure. It serves as a cushioning buffer to protect the brain in cases of facial trauma. Fractures of the frontal sinus can lead to aesthetic problems by causing a visible depression in the center of the forehead. The goals of frontal sinus fracture treatment have been to protect intracranial structures and to prevent early and late complications, even with invasive methods. Recently, however, the goals have shifted to preservation of nasofrontal outflow tract function through close observation and the utilization of endoscopic procedures. Excellent cosmetic results can be achieved through minimally invasive surgery. This shift in goals took place due to the ease of diagnosis and treatment of early and late complications. Therefore, patients with a frontal sinus fracture should be followed up continuously to ensure that complications are detected promptly. Herein, the authors describe the methods and current trends of frontal sinus fracture treatment.

A Computable General Equilibrium-Top Down Behavioral Microsimulation on Assessing the Philippine Tax Reform

  • DIZON, Ricardo Laurio
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.1
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    • pp.543-550
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    • 2021
  • The purpose of the study is to investigate the simulated effects of the Philippine tax reform, which is called Tax Reform for Acceleration and Inclusion Law, on household income and occupational choice. The study utilized the Family Income Expenditure Survey and tax collection as input to Computable General Equilibrium-Top Down Behavioral Microsimulation approach to determine the effect of Philippine tax reform on household income and occupational choice. The results of the study show that the household income in the Philippines will increase due to the implementation of the Philippine tax reform. Also, the study had found that tax reform results drive the household to shift from being farming entrepreneur to salaried workers since the utility derived from being workers is much higher compared to the utility derived from being entrepreneur. The findings of this research suggest that the Philippine Tax Reform for Acceleration and Inclusion Law is beneficial to the household since their income would increase, which will further result to an increase in their capability to buy goods and services. However, the tax reform would also lead to imbalance between the distribution of numbers of workers across sectors such as entrepreneurial farming, entrepreneurial non-farming, and wage sector.

Video-based Stained Glass

  • Kang, Dongwann;Lee, Taemin;Shin, Yong-Hyeon;Seo, Sanghyun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.7
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    • pp.2345-2358
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    • 2022
  • This paper presents a method to generate stained-glass animation from video inputs. The method initially segments an input video volume into several regions considered as fragments of glass by mean-shift segmentation. However, the segmentation predominantly results in over-segmentation, causing several tiny segments in a highly textured area. In practice, assembling significantly tiny or large glass fragments is avoided to ensure architectural stability in stained glass manufacturing. Therefore, we use low-frequency components in the segmentation to prevent over-segmentation and subdivide segmented regions that are oversized. The subdividing must be coherent between adjacent frames to prevent temporal artefacts, such as flickering and the shower door effect. To temporally subdivide regions coherently, we obtain a panoramic image from the segmented regions in input frames, subdivide it using a weighted Voronoi diagram, and thereafter project the subdivided regions onto the input frames. To render stained glass fragment for each coherent region, we determine the optimal match glass fragment for the region from a dataset consisting of real stained-glass fragment images and transfer its color and texture to the region. Finally, applying lead came at the boundary of the regions in each frame yields temporally coherent stained-glass animation.