• International Journal of Computer Science & Network Security
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• v.21 no.6
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• pp.1-6
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• 2021

Recently, pre-trained convolutional neural network CNNs have been widely used and applied for medical image classification. These models can utilised in three different ways, for feature extraction, to use the architecture of the pre-trained model and to train some layers while freezing others. In this study, the ResNet18 pre-trained CNNs model is used for feature extraction, followed by the support vector machine for multiple classes to classify medical images from multi-classes, which is used as the main classifier. Our proposed classification method was implemented on Kvasir and PH2 medical image datasets. The overall accuracy was 93.38% and 91.67% for Kvasir and PH2 datasets, respectively. The classification results and performance of our proposed method outperformed some of the related similar methods in this area of study.

• International Journal of Computer Science & Network Security
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• v.22 no.4
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• pp.101-110
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• 2022

Histopathological analysis of biopsy specimens is still used for diagnosis and classifying the brain tumors today. The available procedures are intrusive, time consuming, and inclined to human error. To overcome these disadvantages, need of implementing a fully automated deep learning-based model to classify brain tumor into multiple classes. The proposed CNN model with an accuracy of 92.98 % for categorizing tumors into five classes such as normal tumor, glioma tumor, meningioma tumor, pituitary tumor, and metastatic tumor. Using the grid search optimization approach, all of the critical hyper parameters of suggested CNN framework were instantly assigned. Alex Net, Inception v3, Res Net -50, VGG -16, and Google - Net are all examples of cutting-edge CNN models that are compared to the suggested CNN model. Using huge, publicly available clinical datasets, satisfactory classification results were produced. Physicians and radiologists can use the suggested CNN model to confirm their first screening for brain tumor Multi-classification.

• Journal of Agricultural Extension & Community Development
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• v.16 no.1
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• pp.125-152
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• 2009

The objective of this study, which applies the multiple-disciplinary approach to the developmental characteristics of children, is to study and develop a class model that can be applied to actual kindergarten classes in rural area. For this purpose, this study proposes teaching and learning methodologies for children based on English children's tales to help make the English education of children more effective and efficient. Based on the findings, the following suggestions should be considered for improving the English-education class model for kindergartners for rural areas: First, various activities based on the multiple-intelligence approach are important methods of children-oriented education advanced by the Sixth Children's Curriculum, helping children grow their independence and creativity. Second, various activities developed by this study on the basis of the multiple-intelligence approach to promote children's reading, listening, speaking, and writing abilities helped children improve their linguistic capacities, improve creativity, and remain motivated, which was reinforced by the differences found between the test group and the control group.

• Journal of the Korean Society for Library and Information Science
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• v.45 no.1
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• pp.169-188
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• 2011

The purpose of this study was to develop a reading instruction program which could help improve multiple intelligences related to personality, and then show its effectiveness. We conducted a survey of one junior high school in Chung-Nam province, consisting of 500 students in 18 classes to analyze what develops the three areas of multiple intelligences(intrapersonal intelligence, interpersonal intelligence and naturalist intelligence). We then want to proceed by developing reading instruction programs focusing on the growth of multiple intelligences.

• The Journal of the Korea institute of electronic communication sciences
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• v.11 no.6
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• pp.619-626
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• 2016

Intrusion detection model detects a intrusion when intrusion behaviour occurred. The model analyzes a variety of intrusion pattern and supports a modeling method to represent for a intrusion pattern efficiently. Particularly, the model defines classes of intrusion pattern and supports modeling method that detects a network level intrusion through multiple hosts for multiple intrusions. In this paper, proposes a multiple intrusion detection model that support a verification method for intrusion detection systems and verifies a safeness of proposed model and compares with other models.

• Journal of The Korean Association For Science Education
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• v.21 no.1
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• pp.13-21
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• 2001

This study examined the influences of project activities based on multiple intelligences to science achievement of elementary school children. The proportions of variance of science achievement explained by General Intelligence(GI) and Multiple Intelligences(MI) were analyzed, then the influences of project activities, which used various aspects of MI were investigated. Two classes of grade 5 at Pusan in Korea were selected for the study. On the basis of science achievement of prior term, the subjects were classified into upper-, average-, and lower-achievement groups. GI and MI were measured for each child, and the relationships of these measures with prior science achievement were analyzed using multiple regression analyses. In order to investigate the effects of the project activities on science achievement, the classes were divided into the control and experimental groups, which the former group learned science topics using the traditional teaching and learning method and the latter group performed the projects about the same topics using their own multiple intelligences. Then, their achievements were analyzed by ANOVA. Results showed that the proportion of variance explained by MI was higher about two times than that of explained by GI. Project activities contributed to the improvement of science achievement of average and upper achievers, however, in the case of under achievers, this effect was not statistically significant.

• Health Policy and Management
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• v.1 no.1
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• pp.116-135
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• 1991

Few studies have been conducted on the detailed routes of medical care utilization under the National Health Insurance. This study was undertaken to identify the utilization patte군 of health care facilities among industrial workers and their dependents. One of the largest health insurance association was purposively chosen for this objective. The association had 345, 757 members as of 31 December, 1990. The study sample of 297, 948 subjects have been drawn from the membership pool on the basis of their continuous membership status during 1 January through 31 December 1990. This study has tried to identify differential utilization patterns between acute and chronic conditions, and among standard income classes. All the diagnoses were recoded in a manner to achieve the objective of this study. As for acute diseases, most age group had used one medical facility as much as by 60% except the age group of 1-4, This young age group had used over three different health facilities as much as by 10.9-15.8%. The finding suggests that some policy measures by sought for remedying the excessive/inappropriate use of services. In addition, mid-income classes(between 17 and 48) were more likely to use multiple sources of care than lower income classes(between 1 and 16) and upper income classes(above 49). This study has revealed that chronic cases are more likely to pursue multiple sources of care, however those with chronic conditions tend to use single health facility more than those with acute conditions(67.9% versus 52.4%). As many as 12.2% have visited more than three health facilities in chronic conditions, but 5.9% for acute conditions. The most likely source of care was primary clinics for both acute and chronic conditions. Compared with the role of general hospital, small-size hospitals found to play a minimal role in the care and referral of patients. This indicates the need of strengthening the function of small-size hospitals. While a minor cross utilization of western medicine and pharmacy was noted, no significant boundary crossing was identified between western medicine and oriental medicine, or between pharmacy and oriental medicine. It is too early to confirm that whether there is substitutability or cross utilization among these alternative sources of care. A further study is needed to identify these relationship.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.13 no.6
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• pp.597-604
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• 2020

This is a narrative research study conducted on the subject in order to understand the relationship between the meta-cognition, learning flow, and problem solving ability of nursing students in online class, and to find out the factors that influence problem solving ability, 88 students enrolled in 2nd and 3rd grade students who participated in online classes at G city universities. The analysis method was analyzed by means, standard deviation, t-test, one-way ANOVA, Pearson correlation, and stepwise multiple regression using SPSS version WIN 23.0. As a result of the study, the difference between learning flow and problem-solving ability according to general characteristics was significantly different depending on the perception of nurses after learning and the motivation for admission to the department of nursing, and the problem-solving ability was positively correlated with metacognition and learning flow. There was a relationship, and metacognition and learning flow were significant variables that influenced problem solving ability. The conclusion of the study is considered to be the basic data for the development of a systematic program that can increase the learning flow and meta-cognition to increase problem solving ability amid the change from nursing education to online classes, and to change the teaching method.

• Earthquakes and Structures
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• v.3 no.5
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• pp.649-673
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• 2012

Recent studies have highlighted the importance of accounting for aging and deterioration of bridges when estimating their seismic vulnerability. Effects of structural degradation of multiple bridge components, variations in bridge geometry, and comparison of different environmental exposure conditions have traditionally been ignored in the development of seismic fragility curves for aging concrete highway bridges. This study focuses on the degradation of multiple bridge components of a geometrically varying bridge class, as opposed to a single bridge sample, to arrive at time-dependent seismic bridge fragility curves. The effects of different exposure conditions are also explored to assess the impact of severity of the environment on bridge seismic vulnerability. The proposed methodology is demonstrated on a representative class of aging multi-span reinforced concrete girder bridges typical of the Central and Southeastern United States. The results reveal the importance of considering multiple deterioration mechanisms, including the significance of degrading elastomeric bearings along with the corroding reinforced concrete columns, in fragility modeling of aging bridge classes. Additionally, assessment of the relative severity of exposure to marine atmospheric, marine sea-splash and deicing salts, and shows 5%, 9% and 44% reduction, respectively, in the median value bridge fragility for the complete damage state relative to the as-built pristine structure.

• Proceedings of the Acoustical Society of Korea Conference
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• 1994.06c
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• pp.205-209
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• 1994

This paper presents a variable rate speech coding method with phonetic segmentation, called for PSVXC. Multiple access techniques that require efficient encoding of speech to achieve capacity improvements are currently emerging in the cellular telephone system. The variable rate speech coder have the reduced average data rate required to transmit conversational speech. Each frame of active speech is classified into one of four phonetic classes. A distinct coding configuration and bit-rate is applied to each category. And also a split vector quantization is used to accurately quantize the LPC information using LSP parameters.