A Comparative Study of Mathematics Curriculum and National Assessment Between Japan and Korea (일본과 우리나라의 수학과 교육과정과 국가수준 학업성취도 평가 비교)
- Rim, Haemee;Kim, Bumi
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- School Mathematics
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- v.16 no.2
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- pp.259-283
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- 2014
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This research investigated the Revised mathematics curriculum and the National Achievement Test of Japan that advanced by leaps and bounds in PISA 2012. As compared with Korea, Japan shows similar trends in the affective domain and the cognitive domain of international achievement test. To put it concretely, this research compared and analyzed the mathematics contents domain of the 2009 revised mathematics curriculum of Korea and the 2008 revised mathematics curriculum of Japan being applied. The analysis was conducted in many aspects including overall of Japanese mathematics education system, the contents to be covered in each grade, and the methods of essential learning themes. We compared the mathematics contents dealt with each country based on the framework of analysis such as
. Also, this research compared and analyzed overview of evaluation system, assessment frame, item characteristic, type of item of NAEA, NAT, and PISA. The results show the introduction time, the degree of deepening themes handled in each country, common themes and topics were very similar between Korea and Japan. But content area of Japan and Korea have been highlighted in the curriculum of middle school and elementary school in each are different. We know that Test B of NAT also emphasized the use of mathematical knowledge. Form the results, we obtained the basic data for the improvement of the next our curriculum. In addition, this results suggests the implications for the improvement of school mathematics curriculum of Korea.
Feature Extraction Algorithm for Distant Unmmaned Aerial Vehicle Detection (원거리 무인기 신호 식별을 위한 특징추출 알고리즘)
- Kim, Juho;Lee, Kibae;Bae, Jinho;Lee, Chong Hyun
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- Journal of the Institute of Electronics and Information Engineers
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- v.53 no.3
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- pp.114-123
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- 2016
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The effective feature extraction method for unmanned aerial vehicle (UAV) detection is proposed and verified in this paper. The UAV engine sound is harmonic complex tone whose frequency ratio is integer and its variation is continuous in time. Using these characteristic, we propose the feature vector composed of a mean and standard deviation of difference value between fundamental frequency with 1st overtone as well as mean variation of their frequency. It was revealed by simulation that the suggested feature vector has excellent discrimination in target signal identification from various interfering signals including frequency variation with time. By comparing Fisher scores, three features based on frequency show outstanding discrimination of measured UAV signals with low signal to noise ratio (SNR). Detection performance with simulated interference signal is compared by MFCC by using ELM classifier and the suggested feature vector shows 37.6% of performance improvement As the SNR increases with time, the proposed feature can detect the target signal ahead of MFCC that needs 4.5 dB higher signal power to detect the target.
Senior High School Diversification in Australia (호주의 학교다양화 사례 분석 - 후기중등과정을 중심으로 -)
- Park, Sam-Chul
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- Korean Journal of Comparative Education
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- v.24 no.3
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- pp.179-198
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- 2014
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The purpose of this study is to find some implications for improving diversities of the senior high school system in Korea, by examining those of Australian high school system. Based on the literature review, school diversification can be defined as providing students or their parents with some range of alternative programs from which they can choose a school or program they believe are best suitable for them. In this point, the concept is very similar to that of school choice. The finding of this study can be summarized as follows. First, the programs of within-school diversification at Australian senior secondary schools include subject selecting, extension programs and vocational education and training courses(VET). Second, selective schools, independent schools and specialist schools are the types of between-schools diversity programs in Australia. Third, the characteristic of Australian school diversification was traditionally between-schools diversification, of which the purpose is to provide excellent learning opportunities for some talented students. However, the policy trend has, recently, been extended to within-school diversity programs. The conclusions of this study are as follows. First, the policy of high school diversification 300 in Korea can be seen as a suitable one because one of its aims was to overcome some limitations of the school equalization policy. Second, well defined within-school diversity programs should be considered in order to avoid educational disadvantage issues in education that can be inevitably risen from between-school diversification policies. Lastly, the possibilities of implementing VET programs at general high schools should also be urgently considered.
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A Study on the Estimation of the Threshold Rainfall in Standard Watershed Units (표준유역단위 한계강우량 산정에 관한 연구)
- Choo, Kyung-Su;Kang, Dong-Ho;Kim, Byung-Sik
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- Journal of Korean Society of Disaster and Security
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- v.14 no.2
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- pp.1-11
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- 2021
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Recently, in Korea, the risk of meteorological disasters is increasing due to climate change, and the damage caused by rainfall is being emphasized continuously. Although the current weather forecast provides quantitative rainfall, there are several difficulties in predicting the extent of damage. Therefore, in order to understand the impact of damage, the threshold rainfall for each watershed is required. The damage caused by rainfall occurs differently by region, and there are limitations in the analysis considering the characteristic factors of each watershed. In addition, whenever rainfall comes, the analysis of rainfall-runoff through the hydrological model consumes a lot of time and is often analyzed using only simple rainfall data. This study used GIS data and calculated the threshold rainfall from the threshold runoff causing flooding by coupling two hydrologic models. The calculation result was verified by comparing it with the actual case, and it was analyzed that damage occurred in the dangerous area in general. In the future, through this study, it will be possible to prepare for flood risk areas in advance, and it is expected that the accuracy will increase if machine learning analysis methods are added.
A Study about Factors Influencing on Awareness toward the People with Disabilities by Undergraduate Students (대학생의 장애인식에 영향을 미치는 요인)
- Shin, Ga-In;Woo, Ye-Shin;Park, Hae Yean;Kim, Jung-Ran
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- 재활복지
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- v.21 no.4
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- pp.177-193
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- 2017
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The purpose of this study was to examine the factors that affect the awareness of disabled in undergraduate students. A sample of 1,998 respondents was surveyed. Of these, a total of 1,957 questionnaires were analysed excluding the 41 questionnaires that did not agree with the survey or had a missing data. The questionnaire consists of the general characteristics, experience related to disability and disability awareness and we used a 4-point Likert scale. Collected data was analyzed using the SPSS 24.0 program and descriptive statistics, t-test, variance analysis and multiple regression analysis were used. According to the results of the study, the disability awareness score of our respondents was average 40.52. Second, female students had more positive about disability awareness than male ones, and senior students had more positive awareness than other grade students. Third, non-rehabilitation department students' disability awareness was more positive than rehabilitation students. Fourth, the disability awareness of people who have a acquaintance member with disability or health worker were significantly positive. Finally, the awareness of people who experienced at the disability related institution were significantly positive. Therefore, to improve the awareness of undergraduate students about disabilities, it is required to activate positive contact experiences with people with disabilities rather than theoretical learning.
A Study on Xieyi (寫意) Ink Orchid Paintings by Sochi Heo Ryun (소치 허련(1808~1893)의 사의(寫意) 묵란화)
- Kang, Yeong-ju
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- Korean Journal of Heritage: History & Science
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- v.52 no.1
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- pp.170-189
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- 2019
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Sochi Heo Ryun (小癡 許鍊, 1808-1893) was a literary artist of Chinese paintings of the Southern School during the late Joseon dynasty and the founder of paintings in the literary artist's style of Jindo County in South Jeolla Province. He was also a professional literary artist who acquired both learning and painting techniques under Choui (a Zen priest) and Kim Jeong-hee's teachings. Heo Ryun's landscape paintings were influenced by Kim Jung -hee. However, his ink orchid paintings, which he began producing in his later years, were not related to the 'Ink Orchid Paintings of Chusa (秋史蘭)'. His ink orchid paintings as a whole drew attention as he followed the old methods but still used rough brush strokes . Ordinary orchids were drawn based on Confucian content. However, his Jebal (題跋) and seal (印章) contain not only Confucian characters but also Taoist and Buddhist meanings. Therefore, it is possible to guess his direction of life and his private world of suffering. Ryun's ink orchid paintings reflected a variety of philosophies and aesthetic sensibilities. He went through a process of stylistic change over time and formed an 'Ink Orchid Painted Thought' in later life. The main characteristic of Sochi's ink orchid paintings is that he formed his own special methods for orchid paintings by mimicking the Manuals of Paintings. He drew orchids with his fingers in the beginning. Then, Jeongseop, Lee Ha-eung, Cho Hee-ryong, and others developed an organic relationship with the painting style of ink orchid paintings. Then in later years, orchid paintings reached the point of 'Picture Painted Thought (寫意畵)'. The above consideration shows that ink orchid paintings, which he produced until the end of his life, were the beginning of his mental vision and will to realize the image of a literal artist.
Seismic Vulnerability Assessment and Mapping for 9.12 Gyeongju Earthquake Based on Machine Learning (기계학습을 이용한 지진 취약성 평가 및 매핑: 9.12 경주지진을 대상으로)
- Han, Jihye;Kim, Jinsoo
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- Korean Journal of Remote Sensing
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- v.36 no.6_1
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- pp.1367-1377
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- 2020
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The purpose of this study is to assess the seismic vulnerability of buildings in Gyeongju city starting with the earthquake that occurred in the city on September 12, 2016, and produce a seismic vulnerability map. 11 influence factors related to geotechnical, physical, and structural indicators were selected to assess the seismic vulnerability, and these were applied as independent variables. For a dependent variable, location data of the buildings that were actually damaged in the 9.12 Gyeongju Earthquake was used. The assessment model was constructed based on random forest (RF) as a mechanic study method and support vector machine (SVM), and the training and test dataset were randomly selected with a ratio of 70:30. For accuracy verification, the receiver operating characteristic (ROC) curve was used to select an optimum model, and the accuracy of each model appeared to be 1.000 for RF and 0.998 for SVM, respectively. In addition, the prediction accuracy was shown as 0.947 and 0.926 for RF and SVM, respectively. The prediction values of the entire buildings in Gyeongju were derived on the basis of the RF model, and these were graded and used to produce the seismic vulnerability map. As a result of reviewing the distribution of building classes as an administrative unit, Hwangnam, Wolseong, Seondo, and Naenam turned out to be highly vulnerable regions, and Yangbuk, Gangdong, Yangnam, and Gampo turned out to be relatively safer regions.
Design and Implementation of BNN based Human Identification and Motion Classification System Using CW Radar (연속파 레이다를 활용한 이진 신경망 기반 사람 식별 및 동작 분류 시스템 설계 및 구현)
- Kim, Kyeong-min;Kim, Seong-jin;NamKoong, Ho-jung;Jung, Yun-ho
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- Journal of Advanced Navigation Technology
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- v.26 no.4
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- pp.211-218
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- 2022
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Continuous wave (CW) radar has the advantage of reliability and accuracy compared to other sensors such as camera and lidar. In addition, binarized neural network (BNN) has a characteristic that dramatically reduces memory usage and complexity compared to other deep learning networks. Therefore, this paper proposes binarized neural network based human identification and motion classification system using CW radar. After receiving a signal from CW radar, a spectrogram is generated through a short-time Fourier transform (STFT). Based on this spectrogram, we propose an algorithm that detects whether a person approaches a radar. Also, we designed an optimized BNN model that can support the accuracy of 90.0% for human identification and 98.3% for motion classification. In order to accelerate BNN operation, we designed BNN hardware accelerator on field programmable gate array (FPGA). The accelerator was implemented with 1,030 logics, 836 registers, and 334.904 Kbit block memory, and it was confirmed that the real-time operation was possible with a total calculation time of 6 ms from inference to transferring result.
Comparison of Safety Culture Awareness between Client and Subcontractors' Employees according to the Experience of Accidents and Near Misses (사고와 아차사고 경험에 따른 원청과 협력업체 근로자 간 안전문화 인식 비교)
- Kim, Dong Yeol;Park, Jae Hee
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- Journal of the Korean Society of Safety
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- v.37 no.2
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- pp.28-34
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- 2022
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This study analyzes the impact that accidents and near misses have on clients' and contractors' awareness of safety culture. Due to the unique characteristic of employment structure in Korea, the occurrence of accidents differs by company size, which has relevant implications for the establishment of safety culture. Attention has been drawn to the importance of the management of accidents and near misses, with safety awareness acting as a core factor. A positive effect on the prevention of accidents could be achieved by noting the difference in safety awareness between clients and contractors and suggesting an associated suitable safety management system. In support of this study, a survey was distributed to workers in the automobile manufacturing industry (May-August 2020), and data from a total of 574 workers was collected and analyzed, including 399 clients' worksers and 175 contractors' workers. The questionnaire addressed participants' experiences of accidents and near misses as well as 50 items from the Nordic Occupational Safety Climate Questionnaire. Analysis of the responses was conducted using the methods of frequency analysis, Fisher's exact test, t-test, correlation analysis, and regression analysis. The results demonstrated that clients had more experiences with accidents and near misses compared to contractors. Additional differences between clients and contractors were noted in terms of the safety culture factors of learning, communication, and trust. A correlation was observed between the experience of accidents and safety justice management: for clients and contractors who experienced accidents, safety justice management was 9.4 times higher. Furthermore, clients' and contractors' awareness of employees' commitment to safety was determined to be 28.5 times higher in those who had experienced near misses This study concludes that, in order to improve accident prevention through the management of accidents and near misses, clients must focus on overseeing safety justice management and aspects of safety culture factors, while contractors must focus efforts on managing employees' commitment to safety. In further applications, this study could provide baseline data for health and safety activities in terms of the safety culture of clients and contractors. Further study on the establishment of safety culture as related to employment structure is proposed for future research.
Comparison of the Characteristics between the Dynamical Model and the Artificial Intelligence Model of the Lorenz System (Lorenz 시스템의 역학 모델과 자료기반 인공지능 모델의 특성 비교)
- YOUNG HO KIM;NAKYOUNG IM;MIN WOO KIM;JAE HEE JEONG;EUN SEO JEONG
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- The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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- v.28 no.4
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- pp.133-142
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- 2023
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In this paper, we built a data-driven artificial intelligence model using RNN-LSTM (Recurrent Neural Networks-Long Short-Term Memory) to predict the Lorenz system, and examined the possibility of whether this model can replace chaotic dynamic models. We confirmed that the data-driven model reflects the chaotic nature of the Lorenz system, where a small error in the initial conditions produces fundamentally different results, and the system moves around two stable poles, repeating the transition process, the characteristic of "deterministic non-periodic flow", and simulates the bifurcation phenomenon. We also demonstrated the advantage of adjusting integration time intervals to reduce computational resources in data-driven models. Thus, we anticipate expanding the applicability of data-driven artificial intelligence models through future research on refining data-driven models and data assimilation techniques for data-driven models.
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