• Proceedings of the Korean Operations and Management Science Society Conference
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• 1996.10a
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• pp.199-202
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• 1996

Although numerous studies demonstrate that one technique outperforms the others for a given data set, there is often no way to tell a priori which of these techniques will be most effective to solve a specific problem. Alternatively, it has been suggested that a better approach to classification problem might be to integrate several different forecasting techniques by combining their results. The issues of interest are how to integrate different modeling techniques to increase the prediction performance. This paper proposes the post-model integration method, which means integration is performed after individual techniques produce their own outputs, by finding the best combination of the results of each method. To get the optimal or near optimal combination of different prediction techniques. Genetic Algorithms (GAs) are applied, which are particularly suitable for multi-parameter optimization problems with an objective function subject to numerous hard and soft constraints. This study applied three individual classification techniques (Discriminant analysis, Logit and Neural Networks) as base models to the corporate failure prediction context. Results of composite prediction were compared to the individual models. Preliminary results suggests that the use of integrated methods will offer improved performance in business classification problems.

• Journal of the Korean Operations Research and Management Science Society
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• v.22 no.3
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• pp.163-173
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• 1997

Although numerous studies demonstrate that one technique outperforms the others for a given data set, it is hard to tell a priori which of these techniques will be the most effective to solve a specific problem. It has been suggested that the better approach to classification problem might be to integrate several different forecasting techniques by combining their results. The issues of interest are how to integrate different modeling techniques to increase the predictive performance. This paper proposes the post-model integration method, which tries to find the best combination of the results provided by individual techniques. To get the optimal or near optimal combination of different prediction techniques, Genetic Algorithms (GAs) are applied, which are particularly suitable for multi-parameter optimization problems with an object function subject to numerous hard and soft constraints. This study applies three individual classification techniques (Discriminant analysis, Logit model and Neural Networks) as base models for the corporate failure prediction. The results of composite predictions are compared with the individual models. Preliminary results suggests that the use of integrated methods improve the performance of business classification.

• Journal of Biosystems Engineering
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• v.40 no.1
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• pp.67-77
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• 2015

Purpose: Fungal secondary metabolite (mycotoxin) contamination in foods can pose a serious threat to humans and animals. Spectroscopic techniques have proven to be potential alternative tools for early detection of mycotoxins. Thus, the aim of this review is to provide an overview of the current developments in nondestructive food safety testing techniques, particularly regarding fungal contamination testing in grains, focusing on the application of spectroscopic techniques to this problem. Methods: This review focuses on the use of spectroscopic techniques for the detection of fungi and mycotoxins in agricultural products as reported in the literature. It provides an overview of the characteristics of the main spectroscopic methods and reviews their applications in grain analysis. Results: It was found that spectroscopy has advantages over conventional methods used for fungal contamination detection, particularly when combined with chemometrics. These advantages include the rapidness and nondestructive nature of this approach. Conclusions: While spectroscopy offers many benefits for the detection of mycotoxins in agricultural products, a number of limitations exist, which must be overcome prior to widespread adoption of these techniques.

• The Research Journal of the Costume Culture
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• v.19 no.1
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• pp.71-82
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• 2011

This paper examined the kinds and characteristics of leather and also analyzed the expression techniques and characteristics of leather in contemporary fashion. The objective of this study lies in re-interpreting the current location of leather in contemporary fashion design, enlarging unlimited potential expression fields of leather, and at the same time, helping create new viewpoints and expression types of leather. For this purpose, this paper examined the kinds and characteristics of leather through the existing literatures, and it also carried out positive analysis of the expression techniques and characteristics of leather clothes through local and foreign fashion magazines and collection papers, such as Gap, Vogue, and Mode & Mode, focusing on the works presented in the fashion collections after 2000. Leather in contemporary fashion is expressed in different colors through dyeing. Through various expression techniques such as wrinkles, ruffle, stitch, embossing, quilting, patchwork, holing, nailing, cutting, laser cutting, fringe, weaving, printing, and collage, leather breaks the fixed ideas of itself and further, it makes the images of fashion design affluent. Leather clothes, which are made through various expression techniques, have some characteristics. First, leather clothes emphasize women's voluptuous beauty. Second, leather clothes create a decorative effect through mixture of materials and various expression techniques. Third, through the feel of materials and the emphasis of shapes, primitive beauty is expressed.

• Physical Therapy Korea
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• v.4 no.1
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• pp.70-77
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• 1997

An A-B-A-C single subject research design was used to assess the effectiveness of transcutaneous electrical nerve stimulation(TENS) and inhibitive techniques on spasticity in a 10-year-old girl with cerebral palsy. Stimulation electrodes were placed over the sural nerve of the right leg. The standard method of cutaneous stimulation, TENS with impulse frequency of 100 Hz, was applied. Inhibitive techniques including stretch, antagonist contraction, and weight bearing were used. The tonus of the leg muscle was measured by means of a surface-EMG biofeedback unit. Visual analysis of data indicate that the child showed clinically significant reduction of spasticity in passive ankle movement following 30 minutes of TENS and inhibitive techniques application, respectively. The effect of TENS on spasticity inhibition was similar to that of inhibitive techniques. This result suggests that for this child with cerebral palsy, the application of TENS to the sural nerve may induce short-term post-stimulation inhibitory effects on the spasticity of cerebral palsy. Replication of this study with a more complex single-subject design involving more subjects is recommended to confirm this result.

• The Journal of the Korea institute of electronic communication sciences
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• v.14 no.4
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• pp.775-780
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• 2019

Techniques for predicting the future can be categorized into statistics-based and deep-run-based techniques. Among them, statistic-based techniques are widely used because simple and highly accurate. However, working-level officials have difficulty using many analytical techniques correctly. In this study, we compared the accuracy of prediction by applying multinomial logistic regression, decision tree, random forest, support vector machine, and Bayesian inference to marketing related data. The same marketing data was used, and analysis was conducted by using R. The prediction results of various techniques reflecting the data characteristics of the marketing field will be a good reference for practitioners.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.3
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• pp.1063-1075
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• 2022

In recent years, container techniques have been broadly applied to cloud computing systems to maximize their efficiency, flexibility, and economic feasibility. Concurrently, studies have also been conducted to ensure the security of cloud computing. Among these studies, moving-target defense techniques using the high agility and flexibility of cloud-computing systems are gaining attention. Moving-target defense (MTD) is a technique that prevents various security threats in advance by proactively changing the main attributes of the protected target to confuse the attacker. However, an analysis of existing MTD techniques revealed that, although they are capable of deceiving attackers, MTD techniques have practical limitations when applied to an actual cloud-computing system. These limitations include resource wastage, management complexity caused by additional function implementation and system introduction, and a potential increase in attack complexity. Accordingly, this paper proposes a software-defined MTD system that can flexibly apply and manage existing and future MTD techniques. The proposed software-defined MTD system is designed to correctly define a valid mutation range and cycle for each moving-target technique and monitor system-resource status in a software-defined manner. Consequently, the proposed method can flexibly reflect the requirements of each MTD technique without any additional hardware by using a software-defined approach. Moreover, the increased attack complexity can be resolved by applying multiple MTD techniques.

• Proceedings of the ESK Conference
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• 1998.04a
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• pp.93-98
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• 1998

Recently, consumers are tend to purchase the user-centered designed product using interface enginnering and human factors techniques. Therefore, it is important that the designer's requirements should be analyzed focused on the human machine interface. This paper described the interface usability evaluation technique(suvjective evaluation) for the interface between user and product. This methodology is the integrated interface usbility evaluation method AHP and Conjoint Analysis. AHP(Analytic Hierarchy Process) is a multicriteria decision model to give priority after expressing hierarchically for decision making problem. Conjoint Analysis enduavors to unravel the value, or partworths, that consumers place on the product or service's attributes from experimental subjects' evluation of profiles based on hypothetical products or services. A new usability test methodology proposed by this paper includes techniques jointed both consistency test by AHP and experimental subjective evaluation of profiles by Conjoint Analysis for evaluating the user's emotion and impression.

• Journal of Korean Elementary Science Education
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• v.35 no.3
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• pp.288-304
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• 2016

The purpose of this study is a review of previous studies and principles of eye-tracking techniques that are actively applied in recent elementary science education. Also it proposes to utilize the direction of eye tracking techniques in elementary science education research. Recent eye-tracking technology was developed, using the infrared pupil and the corneal reflection can be safely and accurately track the eye movements of the participants. Eye tracking has the advantage of higher temporal resolution, accessibility, convenience, objectivity, stability and safety. Analysis of the previous studies, there was a difference in the study design and analysis. The workshops and seminars are needed for accurate understanding of eye-tracking method in elementary science education research. In conclusion, the eye-tracking can be utilized such as effectiveness analysis of teaching materials and media, behaviors analysis of teachers and students in a real class, cognitive strategies and attention analysis of the student, discriminating tool of various education evaluation, etc.

• Proceedings of the Korea Committee for Ocean Resources and Engineering Conference
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• 2001.10a
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• pp.7-14
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• 2001

For the development of the practical methods of structrual analysis of typical VLFS. Orthortropic plate theory and a grillage beam theory and modeling techniques are studied and relevant numerical analysis are carried out. For the design of pontoon type VLFS, an efficient and reliable structural analysis techniques must be established, and as corresponding methods, two approaches mentioned above were studied in view point of their applicability and efficience. For that purpose, structural idealization is performed to make overall structural analysis first, and the structural behaviors of the model in the airplane landing simulation are evaluated. Through this study it is found that the structural idealization using orthotropic plate and grillage modeling are porved to be adequate and the numerical analysis results for real VLFS yields acceptable deformations in the corresponding simulations.