• Korean Journal of Mathematics
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• 제25권1호
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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.

• 한국식생활문화학회지
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• 제30권4호
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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.

• 대한후두음성언어의학회지
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• 제14권1호
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• pp.16-25
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• 2003

후두암은 유병율이 높지만 조기에 발견하면 90% 이상의 치유율과 발성기능의 보존이 가능하며 현재 음성분석을 이용한 진단법이 시도되고 있으나 정립된 선별검사법은 없는 실정이다. 성문전도검사(electroglottography, EGG)는 성대의 진동양상을 알 수 있는 비침습적 검사로서 발성과 음성합성의 연구에 많이 사용되고 있다. 본 연구는 EGG에서 관찰되는 파라미터들을 다층 퍼셉트론(multilayer perceptron)구조의 신경회로망(artificial neural network)으로 감별하는 기법을 이용하여 후두암 감별법에 대한 연구로서 부산대학교병원을 내원한 후두암 환자 10명과 양성후두질환 26명을 대상으로 새로 고안한 Electroglottograph(v1.0)를 이용하여 검사하고 이의 임상적 유용성을 평가하였다. EGG 파라미터인 closed quotient(CQ), speed quotient(SQ), speed index(SI), fundamental frequency(F0), Jitter, Shimmer 등은 MATLAB 6.5 (Mathwork, Inc.)로 작성한 분석 프로그램을 이용하여 추출하였다. 각 환자에서 추출된 EGG 파라미터들을 다층 퍼셉트론 구조의 신경회로망으로 감별하였다. CQ는 각 질환군 간에 유의한 차이가 없었지만 SQ, SI, Jitter, Shimmer 등은 성대질환의 특성에 따라 유의한 차이를 보였다. 신경회로망에서 감별한 결과 CQ를 제외한 SQ, SI, Jitter, Shimmer 등에서 71.3-90%의 후두암의 감별율을 보였다. 또한 SQ, SI, Jitter, Shimmer를 3개씩 조합한 실험에서는 SQ-Jitter-Shimmer와 SQ-SI-Shimmer의 후두암의 감별율이 93%로 가장 높았고, SQ-SI-Jitter 90.9%, SI-Jitter-Shimmer 88.6%로 전체적으로 85% 이상의 높은 감별율을 나타내었다. 이러한 결과는 EGG검사와 신경회로망을 이용한 양성과 악성 후두질환의 감별이 가능함을 시사한다. 향후 성대 질환의 병태생리를 대변할 수 있는 파라미터가 추가로 개발되고 분류 알고리듬이 개선된다면 EGG를 이용한 성대질환의 감별 진단이 보다 정확해질 것으로 사료되었다.

• 한국소음진동공학회논문집
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• 제12권7호
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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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• 제49권3호
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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.

• 한국정보시스템학회지:정보시스템연구
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• 제17권3호
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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.

• 한국환경과학회지
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• 제27권7호
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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.

• 한국통신학회논문지
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• 제36권8B호
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• pp.979-985
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• 2011

오늘날 관계지수 또는 공존지수라 불리우는 NQ(Network Quotient)가 중요한 사회에 살면서 가장 중요한 것이 상대와의 대화가 되고 있다. 따라서 사회생활에 있어 정확한 발음을 구사하여 자신의 의견을 개진하고 의사 전달력을 극대화시키는 것이 대단히 중요한 항목이 되고 있다. 이를 위해 일상생활에서 자신의 의사 전달력을 높이기 위해 발음 체조 뿐 아니라 성대와 연계된 성대 반사점을 지압하는 행위 등 발음의 정확성을 향상시키고자 하는 노력이 이루어지고 있는 실정이다. 그러나 이런 노력들이 실제 정확한 발음을 향상시키는 역할을 하는지에 대한 객관화된 실증적 연구가 전무한 실정이었다. 따라서 본 논문에서는 IT 기술을 적용하여 발음 체조 등과 같은 방법들이 실제 발음 정확성의 향상에 도움이 되는지에 대한 효용성 입증 및 정량화를 위한 방법을 새롭게 제안하였다. 이를 위해 20대 남성 30명을 대상으로 성대 반사점 지압과 발음 체조를 수행하기 전과 후의 음성을 수집하여 음성 분석을 수행하였다.

• International Journal of Computer Science & Network Security
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• 제23권4호
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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.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2002년도 춘계학술대회논문집
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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.