• Korean Journal of Mathematics
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• v.25 no.1
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• pp.61-70
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• 2017

In this paper, we introduce the concept of statistically sequentially quotient map which is a generalization of sequence covering map and discuss the relation with covering maps by some examples. Using this concept, we give an affirmative answer for a question by Fucai Lin and Shou Lin.

• Journal of the Korean Society of Food Culture
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• v.30 no.4
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• pp.439-446
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• 2015

This study considered network quotient (NQ) of deluxe hotel employees and schematized characteristic attributes of being selected by employees with image through correspondence analysis in terms of cognition degree. Self-administrated questionnaires were completed by employees (292 samples) and data were analysed by frequency, t-test, one-way ANOVA, reliability and correspondence analysis. First, the hotel employees indicated the high average value in "participating in special education or seminar for improving ability ($3.85{\pm}0.76$). Second, as a result of analyzing difference according to gender, the average value in men was higher than in women. It was indicated that the higher age and career lead to a rise even in the average value of relationship index. Third, in consequence of carrying out correspondence analysis in order to prepare image map according to cognition level on relationship index in hotel employees, the measurement item that is placed in the closest distance to the response as saying of not so very was the response as saying of "having a lunch (dinner) engagement twice or three times a week." On the other hand, the response as saying of "tending to have many acquaintances compared to coworkers" was schematized in the close distance to the response as saying of very so.

• Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics
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• v.14 no.1
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• pp.16-25
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• 2003

Background and Objectives : Electroglottography(EGG) is a non-invasive method of monitoring the vocal cord vibration by measuring the variation of physiological impedance across the vocal folds through the neck skin. It reveals especially the vocal fold contact area and is widely used for basic laryngeal researches, voice analysis and synthesis. The purpose of this study is to investigate the effectiveness of EGG parameters in differential diagnosis of laryngeal cancer. Materials and Methods : The author investigated 10 laryngeal cancer and 25 benign laryngeal disease patients who visited at the Department of Otolaryngology, Pusan National University Hospital. The EGG equipment was devised in the author's Department. Among various parameters of EGG, closed quotient(CQ), speed quotient(SQ), speed index(SI), Jitter, Shimmer, Fo were determined by an analysis program made with MATLAB 6.5$^{\circledR}$(Mathwork, Inc.). In order to differentiate various laryngeal diseases from pathologic voice signals, the author has used the electroglottographic parameters using the neural network of multilayer perceptron structure. Results : SQ, SI, Jitter and Shimmer values except those of CQ and Fo showed remarkable differences between benign and malignant laryngeal disease groups. From the artificial neural network, the percentage of differentiating the laryngeal cancer was over 80% in SQ, SI, Jitter, Shimmer except for CQ and Fo. These results indicated that it is possible to discriminate the benign and malignant laryngeal diseases by EGG parameters using the artificial neural network. Conclusion : If parameters of EGG which can reveal for the pathology of laryngeal diseases are additionally developed and the current classification algorithm is improved, the discrimination of laryngeal cancer will become much more accurate.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.12 no.7
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• pp.542-549
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• 2002

Computer simulation is essential to design the suspension elements of railway vehicle. By computer simulation, engineers can assess the feasibility of given design variables and chance them to get a bettor design. Even though commercial simulation codes are used, the computational time and cost remains non-trivial. Therefore, malty researchers have used a mesa model made by sampling data through simulation. In this paper, four mesa-models for each index group such as ride comfort, derailment Quotient, unloading radio and stability index, are constructed by use of neural network. After these meta models are constructed, multi-objective optimization are achieved by using the differential evolution. This paper shows that the optimization of design variables using the neural network model is very efficient to solve the complex optimization Problem.

• Kyungpook Mathematical Journal
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• v.49 no.3
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• pp.425-433
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• 2009

In this paper, we give the internal characterizations of compact-covering s-(resp., ${\pi}$-)images of locally separable metric spaces. As applications of these results, we obtain characterizations of compact-covering quotient s-(resp., ${\pi}$-)images of locally separable metric spaces.

• The Journal of Information Systems
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• v.17 no.3
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• pp.255-287
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• 2008

This study examined the relationship among constructs that impact on strategic use of IS(Information Systems). Independent variables were OIQ(Organizational Intelligence Quotient) and role of CIO(Chief of Information Officer) as a top manager, and dependent variable are strategic use of IS. The dependent variable has three-sub constructs: 1) IT infrastructure flexibility; 2) operation-orientation; and 3) market-orientation. Seven research hypotheses derived from the research model, and were empirically tested using the PLS (Partial Least Squares) method. The research results confirmed that both OIQ and CIO's roles have strong impact on organizations' strategic use of IS. Communication and business network among the sub-constructs of OIQ have effect on strategic use of IS. CIO's role as a top manager was found to be significant. CIO's role as a resource allocator and innovator among the CIO's roles showed significant influence on strategic use of IS. OIQ was also significantly related to CIO's role as a top manager. This study suggests practical implications and insights to the enterprises which aim to apply IT strategically.

• Journal of Environmental Science International
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• v.27 no.7
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• pp.477-488
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• 2018

In this study, heavy metal levels at the sediment monitoring network site upstream of the Gangjeong-Goryeong weir in the Nakdong River were surveyed from 2012 to 2016. We assessed the sediment pollution level using various pollution indexes based on ICP-MS analysis. The stream sediment pollution assessment standard, established through Regulation No. 687 of the National Institute of Environmental Research (2015), pollution load index (PLI), potential ecological risk index (RI), and mean PEL Quotient (mPELQ) were used to evaluate the sediment pollution level. We verified the representativeness of the monitoring point through the distribution of sedimentation and scour behavior by river bed surveying using anacousticDopplercurrentprofiler.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.36 no.8B
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• pp.979-985
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• 2011

One of the most important means in modem NQ (Network Quotient) emphasized society is the communication skill. Therefore, it is mostly necessary to accurately express his or her own idea and maximize own communication competence. For this, efforts on improving pronunciation accuracy, such as pronunciation stretching practice and vocal cords reflex point acupressure therapy, have been devoted for communication competence in daily life. However, objective and positive method to substantiate such efforts has not yet been studied to find if the methods can improve pronunciation accuracy in effect. We, therefore, propose an IT based method of substantiation and quantization for such pronunciation accuracy improvement methods. Voice analysis on voice data sample of 30 males in 20s, before and after pronunciation stretching practice and vocal cords reflex point acupressure, has been performed in this paper.

• International Journal of Computer Science & Network Security
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• v.23 no.4
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• pp.179-186
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• 2023

For the future prosperity of any society, the sound growth of children is essential. Autism Spectrum Disorder (ASD) is a neurobehavioral disorder which has an impact on social interaction of autistic child and has an undesirable effect on his learning, speaking, and responding skills. These children have over or under sensitivity issues of touching, smelling, and hearing. Its symptoms usually appear in the child of 4- to 11-year-old but parents did not pay attention to it and could not detect it at early stages. The process to diagnose in recent time is clinical sessions that are very time consuming and expensive. To complement the conventional method, machine learning techniques are being used. In this way, it improves the required time and precision for diagnosis. We have applied TFLite model on image based dataset to predict the autism based on facial features of child. Afterwards, various machine learning techniques were trained that includes Logistic Regression, KNN, Gaussian Naïve Bayes, Random Forest and Multi-Layer Perceptron using Autism Spectrum Quotient (AQ) dataset to improve the accuracy of the ASD detection. On image based dataset, TFLite model shows 80% accuracy and based on AQ dataset, we have achieved 100% accuracy from Logistic Regression and MLP models.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2002.05a
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• pp.1086-1092
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• 2002

Computer simulation is essential to design the suspension elements of railway vehicle. By computer simulation, engineers can assess the feasibility of a given design factors and change them to get a better design. But if one wishes to perform complex analysis on the simulation, such as railway vehicle dynamic, the computational time can become overwhelming. Therefore, many researchers have used a mega model that has a regression model made by sampling data through simulation. In this paper, the neural network is used a mega model that have twenty-nine design variables and forty-six responses. After this mega model is constructed, multi-objective optimal solutions are achieved by using the differential evolution. This paper shows that this optimization method using the neural network and the differential evolution is a very efficient tool to solve the complex optimization problem.