• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.20 no.11
• /
• pp.2172-2180
• /
• 2016

As increasing the emphasis of competence-based learning, Project-base instruction is adopted more with frequency at the educational field. This study focuses on developing the methodology of project-based instructional system. The first one is to manage the project independently not to link with any module. The second one is to link a project to a module. And the third one is to link a project to the more than two major modules. Also It suggests the tool for project based instruction. Before & after class conducting the inspection for increasing satisfaction of instruction by the systematic management and improvement, the project base instruction shows the positive effect to promote the creative personality and problem solving ability. The contentment of the class increases 7% more at the 2nd year than the 1st. As a result, it can derive the evaluation of the pupils' higher achievement rate.

• Journal of Korea Water Resources Association
• /
• v.41 no.10
• /
• pp.1059-1065
• /
• 2008

Rainfall data is the most basic input data to analyze the hydrological phenomena and can be missing due to various reasons. In this research, a neural network based model to estimate missing rainfall data as approximate values was developed for 12 rainfall stations in the Soyang river basin to improve existing methods. This approach using neural network has shown to be useful in many applications to deal with complicated natural phenomena and displayed better results compared to the popular offline estimating methods, such as RDS(Reciprocal Distance Squared) method and AMM(Arithmetic Mean Method). Additionally, we proposed automated data reconciliation systems composed of a neural network learning processer to be capable of real-time reconciliation to transmit reliable hydrological data online.

• Journal of Broadcast Engineering
• /
• v.26 no.2
• /
• pp.184-196
• /
• 2021

This paper proposes statistics adaptive linear regression-based object size prediction method for object detection. YOLOv2 and YOLOv3, which are typical deep learning-based object detection algorithms, designed the last layer of a network using statistics adaptive exponential regression model to predict the size of objects. However, an exponential regression model can propagate a high derivative of a loss function into all parameters in a network because of the property of an exponential function. We propose statistics adaptive linear regression layer to ease the gradient exploding problem of the exponential regression model. The proposed statistics adaptive linear regression model is used in the last layer of the network to predict the size of objects with statistics estimated from training dataset. We newly designed the network based on the YOLOv3tiny and it shows the higher performance compared to YOLOv3 tiny on the UFPR-ALPR dataset.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2019.05a
• /
• pp.79-82
• /
• 2019

This study aims to design and implement automated SEO tools that has applied the artificial intelligence techniques for search engine optimization (SEO; Search Engine Optimization). Traditional Search Engine Optimization (SEO) on-page optimization show limitations that rely only on knowledge of webpage administrators. Thereby, this paper proposes the metadata generation system. It introduces three approaches for recommending metadata; i) Downloading the metadata which is the top of webpage ii) Generating terms which is high relevance by using bi-directional Long Short Term Memory (LSTM) based on attention; iii) Learning through the Generative Adversarial Network (GAN) to enhance overall performance. It is expected to be useful as an optimizing tool that can be evaluated and improve the online marketing processes.

• The Journal of the Acoustical Society of Korea
• /
• v.43 no.3
• /
• pp.293-304
• /
• 2024

In this paper, efficient and reliable methodologies for conducting sea trials to evaluate the performance of hull-mounted sonar systems is discussed. These systems undergo performance verification during ship construction via sea trials. However, the evaluation procedures often lack detailed consideration of variabilities in detection performance due to seabed topography, seasonal factors. To resolve this issue, temperature and salinity structure data were collected from 1967 to 2022 using ARGO floats and ocean observers data. The paper proposes an efficient and reliable sea trial method incorporating Bellhop modeling. Furthermore, a machine learning model applying a Physics-Informed Neural Networks was developed using the acquired data. This model predicts the sound speed profile at specific points within the sea trial area, reflecting seasonal elements of performance evaluation. In this study, we predicted the seasonal variations in sound speed structure during sea trial operations at a specific location within the trial area. We then proposed a strategy to account for the variability in detection performance caused by seasonal factors, using results from Bellhop modeling.

• Journal of Engineering Education Research
• /
• v.4 no.1
• /
• pp.3-19
• /
• 2001

According to the acceleration of informationalization and technological renovation in new coming $21^c$, the material production elements like labor and capital as well as others which have been the resources of a country's competitive power are changing into formless knowledge-based assets like knowledge and technology. In order to meet these demands of this time, companies in developed countries are concentrating on competition and cooperation to obtain higher technology as a strategy towards becoming first-class countries in the world. Thus, the development program of human resources should focus on providing creative technical application ability. Especially, universities should develop knowledge, technology, creative problem-solving ability and realism acquired by various fields in industry where engineering is used and make it possible to perform practical tasks. As a plan for enforcement and management of this program, a certification program which evaluates the ability and accomplishments of the study of graduate students in order to manage the quality of education should be applied as soon as possible at the institute which trains engineers. In this study, among the accomplishment assessment which have been suggested as an alternative assessment method, portfolio assessment is introduced into the educational situation of engineering technological human resources to find a method of application.

• Journal of The Korean Association For Science Education
• /
• v.33 no.6
• /
• pp.1186-1201
• /
• 2013

We investigated student's characteristics in each educational achievement level using the results of the NAEA (National Assessment of Educational Achievement) in 2009, 2010, and 2011 for Grade 6 students, and compared the characteristics between elementary and middle school students. The analysis of representative items for each educational achievement level of elementary and middle school students revealed that (a) advanced level students from both elementary and middle school could exactly understand the achievement criteria of the curriculum, (b) proficient level students from both elementary and middle school were understanding the achievement criteria of the curriculum superficially, for example, they could not understand concepts exactly but could memorize terms, and so should have compensational education under situations that ask for short answer or essay type items instead of multiple choice items, and (c) basic level students from both elementary and middle school almost could not understand the achievement criteria of curriculum, and so should have compensational education under situations that only deal with a simple situation. Science concepts treated in science curriculum are hierarchically organized by level of school, and simple compensational education for the students of below basic level will not solve learning deficits in science education. Differentiated education by educational achievement should be largely expanded instead.

• Journal of the Korean Chemical Society
• /
• v.63 no.6
• /
• pp.486-504
• /
• 2019

This study analyzed achievement standards in the 2015 Science Education Standards as well as activities and assessment items in the Integrated Science, Chemistry I, and Chemistry II textbooks using science core competencies and subcomponents. All five scientific core competencies, in order of scientific thinking capacity, scientific inquiry capacity, scientific communication capacity, scientific problem solving capacity, and scientific participation and lifelong learning capacity, were included in the achievement standards of Integrated Science. Scientific thinking capacity, scientific inquiry capacity, and scientific communication capacity were included in the achievement standards of Chemistry I. The achievement standards of Chemistry II only included scientific thinking capacity. All five scientific core competencies were involved in activities of Integrated Science, Chemistry I, and Chemistry II textbooks and the highest propotion was scientific thinking capacity and scientific inquiry capacity. All five scientific core competencies were involved in assessment items of Integrated Science, Chemistry I, and Chemistry II textbooks and the highest proportion was scientific thinking capacity.

• Journal of the Korea Society of Computer and Information
• /
• v.14 no.9
• /
• pp.11-19
• /
• 2009

A RAM-based Neural Net(RBNN) which has multi-discriminators is more effective than RBNN with a discriminator. Experience Sensitive Cumulative Neural Network and 3-D Neuro System(3DNS) that accumulate the features point improved the performance of BNN, which were enabled to train additional and repeated patterns and extract a generalized pattern. In recognition process of Neural Net with multi-discriminator, the selection of class was decided by the value of MRD which calculates the accumulated sum of each class. But they had a saturation problem of its memory cells caused by learning volume increment. Therefore, the decision of MRD has a low performance because recognition rate is decreased by saturation. In this paper, we propose the method which improve the MRD ability. The method consists of the optimum MRD and the matching ratio prototype to generalized image, the cumulative filter ratio, the gap of prototype response MRD. We experimented the performance using NIST database of NIST without preprocessor, and compared this model with 3DNS. The proposed MRD method has more performance of recognition rate and more stable system for distortion of input pattern than 3DNS.

• The Journal of Korean Academic Society of Nursing Education
• /
• v.5 no.2
• /
• pp.376-387
• /
• 1999

Purpose : To provide fundamental data to present further direction of education on Nursing Ethics by investigating the status of Nursing Ethics education performed at 4-year-Colleges of Nursing. Korea. Methods : A descriptive survey study The data collected from 28 universities through a questionnaire to examine the status of Nursing Ethics education in Korea. Results : I. Teaching Nursing Ethics class as a independent subject-6(21.4%) universities. 1) The average of 23.67 hours(2 credits) in the total educational hours. 2) Teaching method-theoretical class, discussion of case study, discussion of related issues, presentation of video tapes and discussion, team education, role play, and submission of reports. 3) Education contents-Nursing profession and ethics, the dignity of human life, necessity of bioethics, ethical theory and refutation, code for nurses, ethical issues between nurses and patients, nurses and co-workers, and nurses and nurses 6 universities 4) 5 universities-Included ethical decision making, artificial insemination, external insemination, artificial abortion, organ transplantation, brain death, human subject of study suicide, and euthanasia. II. Teaching Nursing Ethics as an inclusive theme in other subjects-22 (78.57%) universities. 1) Educated in Introduction of Nursing (14 universities), Nursing Management, Nursing Ethics and Philosophy, Special Nursing, Nursing and Law, and Professional Nursing. 2) Educational course-Taught in freshman level at 14 universities, average 9.32 education hours. Conclusion: Showed not only that universities, not operating Nursing Ethics as a independent class, unreasonably operate and assign too many contents in comparing with its education hours and are likely to become only a cramming education but also professors whose major is not Nursing Ethics presently in charge need to take a chance to supplement their knowledge and teaching method.