• The Journal of Asian Finance, Economics and Business
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• 제3권2호
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• pp.59-66
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• 2016

Dynamic changes in the field of labor relations have become a general trend in the world practice. These changes are due the impact of globalization and technological innovation above all. Concept of "precarization of employment" appeared due the new emerging labor relations. This term has been used for more than thirty-five years, but there is still no generally accepted definition of it. A wide range of authors' viewpoints on problem of precarization makes it vague and impossible to strictly to identify its borders. Features of its manifestations in different countries also complicate the problem. Kazakhstan is a country with export-oriented economy of raw materials. At the same time government try to solve the problem for the industrial-innovative development of the economy. These two factors bring additional specific features in the manifestation of the precarization of employment in the country. The aim of the paper is to identify the features of "precarization of employment" concept in Kazakhstan's practice, based on the proposed definition.

• 한국연소학회:학술대회논문집
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• 한국연소학회 2012년도 제44회 KOSCO SYMPOSIUM 초록집
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• pp.195-196
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• 2012

This paper describes combustion tuning methodology of double-swirl gas turbine combustor using six sigma tools. This methodology is consist of five steps-Define, Identify, Design, Optimize and Verify (DIDOV). First, the NOx reduction target was defined in the step design; second, the current status of the plant was diagnosed in the step of identify; third, the vital few control parameters to achieve the defined target were determined by analyzing the correlation between the control parameters and NOx emissions in the step of design; fourth, the optimum condition was derived from one of the six sigma tools in the step of optimize; finally, the optimum condition was verified by applying the condition to the gas turbine combustor in the step of verify. As a result of the suggested method, averaged NOx emissions were reduced by more than 70% and the standard deviation was improved by more than 60%. Thus, this methodology can be attributed to the efficient reduction of NOx emission with saving combustion tuning time.

• Journal of Microbiology and Biotechnology
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• 제26권12호
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• pp.2199-2205
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• 2016

Vibrio cholerae O1 serogroup Wave 3 El Tor strains are presently prevalent worldwide. The Wave 3 El Tor strains contain a TLC:RS1:CTX array on chromosome 1, and no element is integrated on chromosome 2. A multiplex PCR optimized to identify the TLC:RS1:CTX array of Wave 3 strains has been developed in this study. By using eight primers, the multiplex PCR can identify the characteristic CTX and RS1 array of Wave 3 strains from various arrays of strains belonging to other Waves. The four amplified DNA fragments of Wave 3 strains have been cloned in a vector, which could be used as a positive control for the multiplex PCR. This multiplex PCR and the positive control set could be useful tools for rapid recognition of Wave 3 El Tor strains.

• 디지털산업정보학회논문지
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• 제6권4호
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• pp.45-56
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• 2010

This paper suggests constraint data modeling based on constraint data presentation techniques to perform complex spatial database operation naturally. We were able to identify the limitation of extendibility of dimension and non-equal framework via relevant research for former schema of spatial database and query processing. Therefore we described generalized tuple of spatial data and the definition of suggested constraint data modeling. Also we selected MLPQ/PReSTO tool among constraint database prototype and compare standard functionality of ARC/VIEW. Then we design scenario for spatial operation using MLPQ/PReSTO and we suggested application effect after query processing. Based on above explanation, we were able to identify that we can process spatial data naturally and effectively using simple constraint routine on same framework via constraint data modeling.

• Journal of Biosystems Engineering
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• 제41권3호
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• pp.240-254
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• 2016

Background: Foodborne pathogens are a growing concern with respect to human illnesses and death. There is an increasing demand for improvements in global food safety. However, it is a challenge to detect and identify these harmful organisms in a rapid, responsive, suitable, and effective way. Results: Rapid developments in biosensor designs have contributed to the detection of foodborne pathogens and other microorganisms. Biosensors can automate this process and have the potential to enable fast analyses that are cost and time-effective. Various biosensor techniques are available that can identify foodborne pathogens and other health hazards. Conclusions: In this review, biosensor technology is briefly discussed, followed by a summary of foodborne pathogen detection using various transduction systems that exhibit specificity for particular foodborne pathogens. In addition, the recent application of biosensor technology to detect pesticides and heavy metals is briefly addressed.

• 경영과학
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• 제16권2호
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• pp.149-169
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• 1999

The purpose of this study, based on a domestic sample of businesses using EDI systems, is to identify success factors, which affect the implementation of EDI system by Korean business entities. This paper also intends to provide useful guidelines for the establishment and management of EDI systems. This paper, first, develops a conceptual framework based on pervious research to identify factors which affect successful implementation of EDI system. Second, it integrates the constructs from previous research studies into a single survey instrument. Third, it presents the findings regarding the degree to which each factor influences the successful implementation of EDI system. It's revealed in the study that such factors as EDI vendor support, EDI education and training, participation by transactional partners, the size of organization, and the level of decentralization among organizational and environmental characteristics influence successful implementation of EDI systems in Korean business environment.

• 품질경영학회지
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• 제30권2호
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• pp.26-46
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• 2002

This study was conducted to identify the differences In Customers' satisfaction about service quality between the largest Korean fast food franchise and the largest American Fast food franchise in Korea. And this study was performed to identify the critical service factors influencing the store loyalty of fast food franchise in Korea. The results of this study show that the American fast food franchise is doing better performances in service factors than the Korean fast food franchise. And the value of food and service is identified as the most critical factor for the store loyalty of the fast food franchise in Korea.

• Communications for Statistical Applications and Methods
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• 제9권1호
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• pp.197-212
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• 2002

When assessing goodness-of-fit of a model, a small subset of deviating observations can give rise to a significant lack of fit. It is therefore important to identify such observations and to assess their effects on various aspects of analysis. A Cook's distance measure is usually used to detect influential observation. But it sometimes is not fully effective in identifying truly influential set of observations because there may exist masking or swamping effects. In this paper we confine our attention to influential subset In GLMs such as logistic regression models and loglinear models. We modify a backwards stepping algorithm, which was originally suggested for detecting outlying cells in contingency tables, to detect influential observations in GLMs. The algorithm consists of two steps, the identification step and the testing step. In identification step we Identify influential observations based on influencial measures such as Cook's distances. On the other hand in testing step we test the subset of identified observations to be significant or not Finally we explain the proposed method through two types of dataset related to logistic regression model and loglinear model, respectively.

• Communications for Statistical Applications and Methods
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• 제9권2호
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• pp.521-531
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• 2002

Various diagnostic techniques for identifying influential observations are mostly based on the deletion of a single observation. While such techniques can satisfactorily identify influential observations in many cases, they will not always be successful because of some mask effect. It is necessary, therefore, to develop techniques that examine the potentially influential effects of a subset of observations. The partial regression plots can be used to examine an influential observation for a single parameter in multiple linear regression. However, it is often desirable to detect influential observations for a subset of regression parameters when interest centers on a selected subset of independent variables. Thus, we propose a diagnostic measure which deals with detecting influential observations on a subset of regression parameters. In this paper, we propose a measure M, which can be effectively used for the detection of influential observations on a subset of regression parameters in multiple linear regression. An illustrated example is given to show how we can use the new measure M to identify influential observations on a subset of regression parameters.

• Communications for Statistical Applications and Methods
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• 제18권2호
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• pp.257-266
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• 2011

The rapid development of airlines, has made airports busier and more complicated. The assignment of scheduled to available gates is a major issue for daily airline operations. We consider the over-constrained airport gate assignment problem(AGAP) where the number of flights exceeds the number of available gates, and where the objectives are to minimize the number of ungated flights and the total walking distance or connection times. The procedures used in this project are to create a mathematical model formulation to identify decision variables to identify, constraints and objective functions. In addition, we will consider in the AGAP the size of each gate in the terminal and also the towing process for the aircraft. We will use a greedy algorithm to solve the problem. The greedy algorithm minimizes ungated flights while providing initial feasible solutions that allow flexibility in seeking good solutions, especially in case when flight schedules are dense in time. Experiments conducts give good results.