• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.3
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• pp.341-348
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• 2020

The ability to extract useful information from an image, such as the human eye, is an interface technology essential for AI computer implementation. The building recognition technology has a lower recognition rate than other image recognition technologies due to the various building shapes, the ambient noise images according to the season, and the distortion by angle and distance. The computer vision based building recognition algorithms presented so far has limitations in discernment and expandability due to manual definition of building characteristics. This paper introduces the deep learning CNN (Convolutional Neural Network) model, and proposes new method to improve the recognition rate even by changes of building images caused by season, illumination, angle and perspective. This paper introduces the partial images that characterize the building, such as windows or wall images, and executes the training with whole building images. Experimental results show that the building recognition rate is improved by about 14% compared to the general CNN model.

• Journal of Fisheries and Marine Sciences Education
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• v.18 no.2
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• pp.183-193
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• 2006

The aim of this research is to present the fundamental data of the tangible school operation in order to get Specialized High Schools in Computer fixed firmly and developed. This project was made by analyzing and thorough investigations how teachers and students think of their school lives, curriculum, future guidances, and the pursuing directions of the school. And that is based on understanding Specialized High Schools distinguished from the traditional Business High Schools. In order to develop the Specialized High School Related Computer as the model of the Specialized High School in Korea, it is important that the government trains the teachers who give students satisfactions. Also for the prospective future of the Specialized High School Related Computer, it is necessary that a good curriculum are developed in detail and the superior students are accepted in their entrance. Also, the students brought by the good teachers will contribute to Korean computer industries. So then, the Specialized High School Related Computer will be dispersed as training computer talents.

• International Journal of Computer Science & Network Security
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• v.22 no.9
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• pp.23-30
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• 2022

Glaucoma is a chronic neuropathy that affects the optic nerve which can lead to blindness. The detection and prediction of glaucoma become possible using deep neural networks. However, the detection performance relies on the availability of a large number of data. Therefore, we propose different frameworks, including a hybrid of a generative adversarial network and a convolutional neural network to automate and increase the performance of glaucoma detection. The proposed frameworks are evaluated using five public glaucoma datasets. The framework which uses a Deconvolutional Generative Adversarial Network (DCGAN) and a DenseNet pre-trained model achieves 99.6%, 99.08%, 99.4%, 98.69%, and 92.95% of classification accuracy on RIMONE, Drishti-GS, ACRIMA, ORIGA-light, and HRF datasets respectively. Based on the experimental results and evaluation, the proposed framework closely competes with the state-of-the-art methods using the five public glaucoma datasets without requiring any manually preprocessing step.

• Journal of The Korean Association of Information Education
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• v.21 no.2
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• pp.171-181
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• 2017

Each City & Provincial office of education has provided educational informatization training, which invites its partner country's teachers as part of 'e-Learning Globalization Project.' The purposes of this training program are, a) improving nation brand power by maintaining e-learning national competitiveness and strengthening influence, b) solving digital divide by sharing Korean best practices, c) establishing partnership through exchanges and cooperation, d) capacity building which support partner country's leading teachers can play key roles to spread educational informatization in their own country. It is necessary to reflect outcomes of training program until now and to find sustainable development plan, at 10th anniversary of Education ICT training program now. In order to fulfil purposes, qualitative research was conducted to analyze current status based on context, input, process, and product phases, and to find sustainable development alternative. In-depth interview(IDI) was conducted among supervisor, officials, and teachers from partner countries. Also, the result of IDI was analyzed by themes.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.11
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• pp.4244-4250
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• 2010

This study analyzed relation with accounting information system operations of more integration and end-user's business processing capabilities. Also, Studied the correlation that has reflecting between business computer skills and training experience level of end-user in practical operation. In summary of this study, first, found out that the improvement and training level of computerized accounting training in mid-size enterprise can be processing more effectively an accounting information business. Second, the end-user training and business development of business processes using the system, the positive impact was significant. Finally, the introduction of the continuous integration system based on new technology analyzed more lower overall performance satisfaction of end-user in the tasks. Business Ability of end-user could be important factor as ongoing business development and training. The results of this study, It can support to effective strategies of end-user systems, will expected to further strengthen competitiveness in the future.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.42 no.1
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• pp.25-31
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• 2005

In this paper, we present a face detection system using the Support Vector Domain Description (SVDD) in color images. Conventional face detection algorithms require a training procedure using both face and non-face images. In SVDD however we employ only face images for training. We can detect faces in color images from the radius and center pairs of SVDD. We also use Entropic Threshold for extracting the facial feature and sliding window for improved performance while saving processing time. The experimental results indicate the effectiveness and efficiency of the proposed algorithm compared to conventional PCA (Principal Component Analysis)-based methods.

• Computers and Concrete
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• v.15 no.6
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• pp.935-950
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• 2015

The aim of this study is to provide experimental data regarding the compressive, shear and torsional strength of self-compacting concrete (SCC) used in rectangular beams, and then comparing the results with the equations presented by the CSA A23.3-04 and ACI 318-11. In fact, the gathered information in this field is quite useful for calibrating the computer models of other researchers. The other goal of this study was to investigate the effects of silica fume and superplasticizer dosages on the mechanical properties of SCC. In this research, SCC is made based on 16 different type mixing layout. Also two normal concrete (NC) or vibrating concrete are constructed to compare the results of SCC and NC. This work concentrated on concrete mixes having water/binder ratios of 0.45 and 0.35, which contained constant total binder contents of $400kg/m^3$ and $500kg/m^3$, respectively. The percentages of silica fume that replaced cement were 0% and 10%. The superplasticizer dosages utilized in the mixtures were 0.4%, 0.8%, 1.2% and 1.6% of the weight of cement. Beam dimensions used in this test were $30{\times}30{\times}120cm^3$. The results of this research indicated that shear and torsional strength of SCC beams to be used in computer models can be calculated utilizing the equations presented in CSA A23.3-04 and ACI 318-11.

• Journal of the Korea Computer Industry Society
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• v.5 no.8
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• pp.811-818
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• 2004

The spreading of internet, combined with the computerization of industry and the life whole has created an incereased demand on the private life protection and information portection, but due to the lack of specialty manpower on the information protection industry field there are many difficulties. Therefore, in this paper a curriculum for an information protection specialty manpower training is proposed. The proposed curriculum indispensability 1,2 and classified with a selection 1,2 and classified with a selection 1,2. The information protection application field into 9 segments of domains, and to carry out the curriculum in a ring structure. The curriculum based on the information security field's 9 domains and related field practical business, and the course offered after graduation to deepen the specialty, need to be carried out by each domain in order to continuously carry out the information security deepening process.

• Journal of Computing Science and Engineering
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• v.2 no.2
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• pp.162-179
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• 2008

We have developed a tool for annotation of electronic health record (EHR) data. Currently we are in the process of manually annotating a corpus of Norwegian general practitioners' EHRs with mainly linguistic information. The purpose of this project is to attain a linguistically annotated corpus of patient histories from general practice. This corpus will be put to future use in medical language processing and information extraction applications. The paper outlines some of our practical experiences from developing such a corpus and, in particular, the effects of semi-automated annotation. We have also done some preliminary experiments with part-of-speech tagging based on our corpus. The results indicated that relevant training data from the clinical domain gives better results for the tagging task in this domain than training the tagger on a corpus form a more general domain. We are planning to expand the corpus annotations with medical information at a later stage.

• Journal of the Korea Society of Computer and Information
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• v.14 no.9
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• pp.127-134
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• 2009

Universities or job training institutes need to develop training courses that match up with requirements of enterprises. Therefore, job analysis system that analyzes skills which are needed for job performing and makes it possible to be reflected in the curriculums is requested for deriving generalized curriculum system. In this paper, to develop a curriculum that fulfills the requirements of enterprises, we implemented a series of DACUM(Developing A CurriculUM) based process that performs verification of tasks for workers and roadmap for curriculum, etc. And, we analyzed a instance of this application system. The proposed system is implemented by Java and MS Access database. The system is possible to work with central database realized by MS SQL Server through the Internet.