Matrix theory is widely used not only in mathematics, natural sciences, and engineering, but also in social sciences and artificial intelligence. In the 2009 revised mathematics curriculum, matrices were removed from high school math education to reduce the burden on students, but in anticipation of the age of artificial intelligence, they will be reintegrated into the 2022 revised education curriculum. Therefore, there is a need to analyze the matrix content covered in other countries to suggest a meaningful direction for matrix education and to derive implications for textbook composition. In this study, we analyzed the German mathematics curriculum and standard education curriculum, as well as the matrix units in the German Hesse state mathematics curriculum and textbook, and identified the characteristics of their content elements and development methods. As a result of our analysis, it was found that the German textbooks cover matrices in three categories: matrices for solving linear equations, matrices for explaining linear transformations, and matrices for explaining transition processes. It was also found that the emphasis was on mathematical reasoning and modeling when learning matrices. Based on these findings, we suggest that if matrices are to be reintegrated into school mathematics, the curriculum should focus on deep conceptual understanding, mathematical reasoning, and mathematical modeling in textbook composition.
To precisely and reliably analyze the contents of the satellite imagery, recognizing the clouds which are the obstacle to gathering the useful information is essential. In recent times, deep learning yielded satisfactory results in various tasks, so many studies using deep neural networks have been conducted to improve the performance of cloud detection. However, existing methods for cloud detection have the limitation on increasing the performance due to the adopting the network models for semantic image segmentation without modification. To tackle this problem, we introduced the multi-branch neural architecture search to find optimal network structure for cloud detection. Additionally, the proposed method adopts the soft intersection over union (IoU) as loss function to mitigate the disagreement between the loss function and the evaluation metric and uses the various data augmentation methods. The experiments are conducted using the cloud detection dataset acquired by Arirang-3/3A satellite imagery. The experimental results showed that the proposed network which are searched network architecture using cloud dataset is 4% higher than the existing network model which are searched network structure using urban street scenes with regard to the IoU. Also, the experimental results showed that the soft IoU exhibits the best performance on cloud detection among the various loss functions. When comparing the proposed method with the state-of-the-art (SOTA) models in the field of semantic segmentation, the proposed method showed better performance than the SOTA models with regard to the mean IoU and overall accuracy.
Proceedings of the Korean Institute of Navigation and Port Research Conference
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2023.05a
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pp.100-103
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2023
Recently, development of maritime autonomoust surface ships and eco-friendly ships, production and evaluation research considering various marine environments is needed in the field of optimal routes as the demand for accurate and detailed real-time marine environment prediction information expands. An algorithm that can calculate the optimal route while reducing the risk of the marine environment and uncertainty in energy consumption in smart ships was developed in 2 stages. In the first stage, a profile was created by combining marine environmental information with ship location and status information within the Automatic Ship Identification System(AIS). In the second stage, a model was developed that could define the marine environment energy map using the configured profile results, A regression equation was generated by applying Random Forest among machine learning techniques to reflect about 600,000 data. The Random Forest coefficient of determination (R2) was 0.89, showing very high reliability. The Dijikstra shortest path algorithm was applied to the marine environment prediction at June 1 to 3, 2021, and to calculate the optimal safety route and express it on the map. The route calculated by the random forest regression model was streamlined, and the route was derived considering the state of the marine environment prediction information. The concept of route calculation based on real-time marine environment prediction information in this study is expected to be able to calculate a realistic and safe route that reflects the movement tendency of ships, and to be expanded to a range of economic, safety, and eco-friendliness evaluation models in the future.
The Journal of the Convergence on Culture Technology
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v.9
no.6
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pp.967-971
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2023
Recently, a variety of AI-based platform services are available, and one of them is ChatGPT that processes a large quantity of data in the natural language and generates an answer after self-learning. ChatGPT can perform various tasks including software programming in the IT sector. Particularly, it may help generate a simple program and correct errors using C Language, which is a major programming language. Accordingly, it is expected that ChatGPT is capable of effectively using Verilog HDL, which is a hardware language created in C Language. Verilog HDL synthesis, however, is to generate imperative sentences in a logical circuit form and thus it needs to be verified whether the products are executed properly. In this paper, we aim to select small-scale logical circuits for ease of experimentation and to verify the results of circuits generated by ChatGPT and human-designed circuits. As to experimental environments, Xilinx ISE 14.7 was used for module modeling, and the xc3s1000 FPGA chip was used for module embodiment. Comparative analysis was performed on the use area and processing time of FPGA to compare the performance of ChatGPT products and Verilog HDL products.
Francisca C. MBAGWU;Judith S. NSE;Jacintha EZE;Ijeoma Irene BERNARD
International Journal of Knowledge Content Development & Technology
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v.14
no.2
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pp.29-46
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2024
Academic libraries are at the forefront of supporting their parent institutions in teaching and learning, research activities, and community services for the students and faculty members, but, the researchers observed that some of the research emanating from faculty members in academic institutions particularly universities remains largely unknown, unrecognized and invisible on the global scene. This present paper is therefore a modest attempt towards addressing the issue of enhancing the faculty research visibility in the institutions of higher learning by the academic libraries. It also examines the extent academic libraries in public universities in Nigeria use research visibility channels to increase the global visibility of their faculty members. Difficulties encountered by librarians and ways of tackling the visibility of the faculty were also examined. A descriptive survey research design was adopted and the population consisted of all the 162 librarians in public universities in South-East (S.E), Nigeria. Telephone calls and Online Questionnaire were used for data collection. The number of librarians was obtained through phone calls from the Heads of each of the Libraries. The Online Questionnaire was submitted to the WhatsApp platforms of librarians in Nigeria- Academic and Research Libraries (ARL) and Chartered Librarians in Nigeria Connect (CLN-Connect). The questionnaire was structured in such a way that only the Librarians in Public universities in the S.E. Nigeria will respond to it. At the end of the day only 120 librarians responded, at a response rate of 74%. The study was analysed using tables, percentages and charts. The study recommended that librarians who are unaware of RVCs and its utilization should go for training to acquire the knowledge that will enable them enhance the global visibility of faculty staff, Management of Public universities in S.E, Nigeria should in addition to addressing copyright issues by the use of disclaimer notices and creative common licensing and provision of infrastructural facilities e.g. steady power supply, High power brand Internet connectivity, establishment of an Institutional Repository, etc, also should mandate the faculty staff to release their productive work to the library for onward submission to the RVCs platforms for enhancement of their global visibility.
Proceedings of the Korea Institute of Fire Science and Engineering Conference
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2008.11a
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pp.270-276
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2008
The purpose of this study is to deal with fire fighting safety education primarily among the fields of child safety education. So, first of all, this study considered the theoretical background of fire fighting safety education. And this study analyzed the present state and cases of safety accidents in elementary schools. And by focusing on the fire fighting science class for elementary schools which Gyeonggi-do Goyang fire station is executing now, this study analyzed the educational outline, present state, educational goal, and content of fire fighting science class, and conducted the satisfaction survey through questionnaire over the elementary school students participating in fire fighting science class and the fire fighting officers in charge of fire fighting science class. On basis of this research, by developing the new field of fire fighting education and publicity into the program which can diffuse the fire fighting-related chemical experiment based on the science of chemistry and physics in the future and so provide the pleasure and surprise of experiencing directly not only natural fire fighting education and publicity but also learning and the common sense of fire fighting, this study tried to present the alternatives about the measures for activating the fire fighting safety education in elementary schools.
In this paper, the WSANN(Water Stage Analysis with Neural Network) model was presented so as to predict flood water stage at Jindong which has been the major stream gauging station in Nakdong river basin. The WSANN model used the improved backpropagation training algorithm which was complemented by the momentum method, improvement of initial condition and adaptive-learning rate and the data which were used for this study were classified into training and testing data sets. An empirical equation was derived to determine optimal hidden layer node between the hidden layer node and threshold iteration number. And, the calibration of the WSANN model was performed by the four training data sets. As a result of calibration, the WSANN22 and WSANN32 model were selected for the optimal models which would be used for model verification. The model verification was carried out so as to evaluate model fitness with the two-untrained testing data sets. And, flood water stages were reasonably predicted through the results of statistical analysis. As results of this study, further research activities are needed for the construction of a real-time warning of the impending flood and for the control of flood water stage with neural network method in river basin. basin.
Cities are major sources of greenhouse gas emissions but also suitable places for implementing proactive climate mitigation and adaptation strategies. Based on the interdisciplinary review of literature, we categorize the current discussion about urban climate mitigation and adaptation planning, policy and practices into four perspectives - sustainability science, global change science, multilevel governance, and structural engineering. While these four schools of thought have distinct perspectives rooted in different disciplinary lenses, our synthesis of the literature identifies several universal themes that are common to all of the perspectives in the context of combating threats posed by climate change. The Portland case study illustrates that a city can make changes to reduce greenhouse gas emissions and increase adaptive capacity to climate change impacts by implementing smart growth, devising local climate action plans that target emission reductions in various sectors, recognizing the interactions and influences of multiple scales of governance, and supporting the installation of various green infrastructures that contribute to green economy. Furthermore, a university can serve as a hub in this climate mitigation and adaptation arena by connecting various levels of community organizations in both public and private sectors, creating innovative research centers and spatially explicit green infrastructure, designing impact assessments and campus carbon inventories, and engaging students and the larger community through service learning.
The Journal of the Convergence on Culture Technology
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v.6
no.1
/
pp.327-334
/
2020
Changam, Lee Samman(1770~1845), who created his own handwriiting to be referred to as the three great writers of the late Joseon Dynasty, the valued 'beobgo'. Based on the calligraphy of the Han-Wi era, Lee Kwangsa who completed DonggugJinche was regarded as the teacher of the heart. In his later years, he wrote 『ChangamSeogyeol』 to teach how to use the right brush, revealing the basic principles of universal calligraphy and his own calligraphy. The typeface of Changam is completed by choseo through the establishment of haeseo geungol. For this, I valued Han-Wi's haeseo training, OnhuGanwon Han-Wi geungol shows a state without natural law. This shows that nature is the core and ultimate goal of Changam calligraphy theory. This is a return to the state of 'No law' at the height of the law, where eum-yang is created and bizarreness occurs when form, power and energy are promoted. On the other hand, he emphasized that jangbeob and pochi form IlunMujeog DeugpilCheonyeon when expressing naturalness as it is, without being bound by the old law. His typeface constantly tried to combine the beauty of Joseon's own calligraphy while sublimating nature into art. Thus, he acquired IlunMujeog, a body rich in geungol and full of vitality and dynamism. And DeugpilCheonyeon achieved aesthetics with the highest level of excellence, embodied as the original 'Haengunyusu Typeface', and further developed handwriiting and Calligraphy spirit of DonggugJinche in Honam province.
In democracy basic rights such as political equality and participation through elections have been respected, opportunities of corporation and opposition have been guaranteed, and ability of self-learning and self-correction have been developed. These positive factors give preconditions for the welfare development in the democratic state. Because in this state adults get the suffrage and the open competition for official positions induces political parties use social policies as means to win the election. That is to say, political parties have an incentive to use various social policies to win the election. Democracy, therefore, has affinity with social policy. The affinity between democracy and social policy can be found also in Korea which was democratized in 1987. But, in Korea, the positive relationship between democracy and social policy is very weak due to the problem of constitutional structures. Korean Parliament usually enacts abstract social act and delegates the right to fill concrete contents of the social acts to the executive. Delegation itself has no problem, but excessive delegation is a problem since the executive can overuse its discretion as sacrificing the social rights of the citizen. In addition social consensus could not be achieved in this constitutional structures, which are a obstacle to establishing a political process in the Parliament to promote the welfare development through party competition. Excessive delegation should be reduced, and the Parliament should fill concrete contents of the social acts as exercising its legislative power more. Then a mechanism of welfare development can be launched in Korea.
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