• Journal of the Korean Institute of Intelligent Systems
• /
• v.24 no.5
• /
• pp.548-553
• /
• 2014

In order to evaluate the performance of arrow that manufactures through production process, it is used that personal experiences such as hunters who have been using bow and arrow for a long time, technicians who produces leisure and sports equipment, and experts related with this industries. Also, the intensity of arrow's impact point which obtains from repeated shooting experiments is an important indicator for evaluating the performance of arrow. There are some ongoing researches for evaluating performance of arrow using intensity of the arrow's impact point and the arrow's flying image that obtained from high-speed camera. However, the research that deals with mutual relation between distribution of the arrow's impact point and characteristics of the arrow (length, weight, spine, overlap, straightness) is not enough. Therefore, this paper suggests both the system that could describes the distribution of the arrow's impact point into numerical representation and the correlation model between characteristics of arrow and impact points. The inputs of the model are characteristics of arrow (spine, straightness). And the output is MAD (mean absolute distance) of triangular shaped coordinates that could be obtained from 3 times repeated shooting by changing knock degree 120. The input-output data is collected for learning the correlation model, and ANN (artificial neural network) is used for implementing the model.

• 대한공업교육학회지
• /
• v.37 no.2
• /
• pp.99-125
• /
• 2012

The objectives of this study was to apprehend the displaying components by comparing and analyzing the ten types of construction textbooks used in Technical high schools by elaboration theory by Ferigeluth, and to supply preliminary data for the following revising textbooks. To achieve them, first, comparable units were excerpted by analyzing between the national textbooks of 7th curriculum and the new revised curriculum used in Technical high schools. Second, each five types of 7th and new curriculum textbooks were compared and analyzed by seven requisites in the Elaboration theory by Reigeluth. As the results of the study, first, elaborating process like conceptual, procedural, and theoretical elaboration has been applied to the different subjects according to their properties. Second, cognitive strategy activator among the seven strategies was widely used. Whereas, analogy was not applied to all the ten types of the text books. In addition, Learning prerequisite sequence was presented with only simple picture and explanation, and it was inadequately used in practice. Third, summary was more used in 7th curriculum text than the new revised text. Fourth, six strategy components were widely used to all texts except construction and materials in the five types of texts. Lastly synthesis of theory and practice was more used than summary in theory subjects and learner control was more used in the subject of the synthesis of theory and practice.

• Journal of Cadastre & Land InformatiX
• /
• v.50 no.1
• /
• pp.201-214
• /
• 2020

This study aimed to early detect damaged trees by pine wilt disease using the vegetation indices of UAV images. The location data of 193 pine wilt disease trees were constructed through field surveys and vegetation index analyses of NDVI, GNDVI, NDRE and SAVI were performed using multi-spectral UAV images at the same time. K-Means algorithm was adopted to classify damaged trees and confusion matrix was used to compare and analyze the classification accuracy. The results of the study are summarized as follows. First, the overall accuracy of the classification was analyzed in order of NDVI (88.04%, Kappa coefficient 0.76) > GNDVI (86.01%, Kappa coefficient 0.72) > NDRE (77.35%, Kappa coefficient 0.55) > SAVI (76.84%, Kappa coefficient 0.54) and showed the highest accuracy of NDVI. Second, K-Means unsupervised classification method using NDVI or GNDVI is possible to some extent to find out the damaged trees. In particular, this technique is to help early detection of damaged trees due to its intensive operation, low user intervention and relatively simple analysis process. In the future, it is expected that the utilization of time series images or the application of deep learning techniques will increase the accuracy of classification.

• Journal of Korean Elementary Science Education
• /
• v.18 no.1
• /
• pp.19-28
• /
• 1999

This study aims to analyze tile research trends of science education in Korea, and suggest the direction of the desirable research, which is to help the improvement of science education practically. To achieve these aims, the papers related to the science education (paper;1288, master′s thesis;724, doctoral thesis;59), which were published from 1992 to 1996 in Korea, are classified by the criteria for the analysis and summed up. The condensed results of this study are as follows, 1. The papers published through this period, maintains the stability in aspect of quantity compared with 1980s. It is owing to the efforts of the prime investigator so that "the science education," as a part of normal science, may settle down in Korea. 2. In the case of thesis for the academic degree, the doctoral theses are rare, as the ratio of the doctoral vs. the master′s is 1:13. Even so, most of the theses were produced by a few universities(master′s thesis/Kor. Nat. Univ. of Edu.;28.3%, Ewha Woman′ Univ.;16.2%, doctoral thesis/Seoul Nat. Univ.;57.6%, Kor. Nat. Univ. of Edu.;22.0%). 3. Most of papers are preponderant at three categories among the ten categories proposed by this study (science teaching-learning material;23.5%, science teaching methods;21.4%, psychology of science education;21.1%). 4. Concerning the subject of research, these papers are not diversity and intensive, that is; the subject related to scientific concepts, scientific thinking and attitude, and analysis of scientific textbook is 17.7%, 14.3%, and 10.5% of the total, respectively. 5. Though not including this study, among the theses for the master of science education, many of theses are related to the subject of pure science. There are some suggestions related to tile results of this study. The severe preponderance ill the training process, the subject, and area of research, can be pointed out one of the flimsy in our researches of science education. Because these cannot be considered separately, the policy and support of educational administration must be needed to remove this phenomena. To improve the present situation of science education, the research funds have to be given to the practical than the theoretical subjects. Which can make promptly a settlement of tile problems and difficulties from the field of science education, and encourage the reseal,:h activities that tile front teachers take part in. Lately, the accumulation of literature and references are a prior condition in the development of academic knowledge. Therefore the data base system for the information of science education and translation of foreign literature related to science education must be achieved. In addition, the programs that tile teacher and the investigator can make good use of such an information without limited conditions, must be prepared.

• Korean Journal of Construction Engineering and Management
• /
• v.20 no.6
• /
• pp.107-116
• /
• 2019

Korean construction engineering firms want to pave the way for expansion of overseas markets through the World Bank's Official Development Assistance (ODA) projects as a way to improve their overseas project performance. However, since the World Bank project competes with global companies for limited projects, building partnerships with suitable business partners is essential to gain an upper hand in bidding competition and meet the institutional conditions of the recipient country. In this regard, many network studies have been conducted in the past through Social Network Analysis (SNA), but few have been analyzed based on the process of changes in the network. So, This study collected winning data from the three Southeast Asian countries that ended after the World Bank's ODA project performed smoothly, and established a learning-based link prediction model that reflected the dynamic nature of the network. As a result, the 11 main variables acting on building a cooperative relationship between winning companies were derived and the effect of each variables on the probability value of cooperation between individual links was identified.

• The Journal of the Acoustical Society of Korea
• /
• v.40 no.5
• /
• pp.530-536
• /
• 2021

Recently, due to the development of deep learning, end-to-end speech recognition, which directly maps graphemes to speech signals, shows good performance. Especially, among the end-to-end models, conformer shows the best performance. However end-to-end models only focuses on the probability of which grapheme will appear at the time. The decoding process uses a greedy search or beam search. This decoding method is easily affected by the final probability output by the model. In addition, the end-to-end models cannot use external pronunciation and language information due to structual problem. Therefore, in this paper conformer with lexicon transducer is proposed. We compare phoneme-based model with lexicon transducer and grapheme-based model with beam search. Test set is consist of words that do not appear in training data. The grapheme-based conformer with beam search shows 3.8 % of CER. The phoneme-based conformer with lexicon transducer shows 3.4 % of CER.

• Journal of Navigation and Port Research
• /
• v.42 no.6
• /
• pp.539-545
• /
• 2018

In recent years, research on shipping market forecasting with the employment of non-linear AI models has attracted significant interest. In previous studies, input variables were selected with reference to past papers or by relying on the intuitions of the researchers. This paper attempts to address this issue by applying the stepwise regression model and the random forest model to the Cape-size bulk carrier market. The Cape market was selected due to the simplicity of its supply and demand structure. The preliminary selection of the determinants resulted in 16 variables. In the next stage, 8 features from the stepwise regression model and 10 features from the random forest model were screened as important determinants. The chosen variables were used to test both models. Based on the analysis of the models, it was observed that the random forest model outperforms the stepwise regression model. This research is significant because it provides a scientific basis which can be used to find the determinants in shipping market forecasting, and utilize a machine-learning model in the process. The results of this research can be used to enhance the decisions of chartering desks by offering a guideline for market analysis.

• Journal of The Korean Association For Science Education
• /
• v.39 no.1
• /
• pp.59-72
• /
• 2019

The purpose of this study is to show that epistemic considerations can be used meaningfully in the argumentation of elementary students, and to provide data on students' epistemic considerations that will be the basis for designing and evaluating scientific argumentation. The epistemic considerations in students' small group argumentations were explored based on Epistemic Considerations in Students' Epistemologies in Practice: EIP' suggested by Berland et al. (2016). The major results of this study are as follows: First, epistemic considerations in elementary school students' small group argumentation appeared in all four aspects: Nature, generality, justification and audience. The epistemic considerations varied according to context in each discussion situation. Second, epistemic considerations did not exist independently. They influenced each other and helped to reveal new types of considerations. The results of this study confirmed that argumentation can be used in elementary school science class. Understanding how students are involved in argumentation and how these epistemic considerations can affect students' argumentation can be helpful to teachers who design and evaluate small group argumentation. Students' achievement level affected epistemic considerations but learning approach types did not affect on. In addition, epistemic considerations may have a positive or negative effect on each other depending on the discussion situation in the process of interaction. So consideration of normative argumentation rules and teaching strategies should be considered in order for epistemic considerations to positively affect each other.

• International Journal of Computer Science & Network Security
• /
• v.21 no.8
• /
• pp.71-78
• /
• 2021

The relevance of research provides the necessity to identify the basic problems in the public governance sphere and information technology relations, forasmuch as understanding such interconnections can indicate the consequences of the development and spreading information technologies. The purpose of the research is to outline the issues of applying information technologies in public governance sphere. 500 civil servants took part in the survey (Ukraine). A two-stage study was conducted in order to obtain practical results of the research. The first stage involved collecting and analyzing the responses of civil servants on the Mentimeter online platform. In the second stage, the administrator used the SWOT-analysis system. The tendencies in using information technologies have been determined as follows: the institutional support development; creation of analytical portals for ensuring public control; level of accountability, transparency, activity of civil servants; implementation of e-government projects; changing the philosophy of electronic services development. Considering the threats and risks to the public governance system in the context of applying information technologies, the following aspects generated by societal requirements have been identified, namely: creation of the digital bureaucracy system; preservation of information and digital inequality; insufficient level of knowledge and skills in the field of digital technologies, reducing the publicity of the state and municipal governance system. Weaknesses of modern public governance in the context of IT implementation have been highlighted, namely: "digitization for digitalization"; lack of necessary legal regulation; inefficiency of electronic document management (issues caused by the imperfection of the interface of reporting interactive forms, frequent changes in the composition of indicators in reporting forms, the desire of higher authorities to solve the problem of their introduction); lack of data analysis infrastructure (due to imperfections in the organization of interaction between departments and poor capacity of information resources; lack of analytical databases), lack of necessary digital competencies for civil servants. Based on the results of SWOT-analysis, the strengths have been identified as follows: (possibility of continuous communication; constant self-learning); weaknesses (age restrictions for civil servants; insufficient acquisition of knowledge); threats (system errors in the provision of services through automation); opportunities for the introduction of IT in the public governance system (broad global trends; facilitation of the document management system). The practical significance of the research lies in providing recommendations for eliminating the problems of IT implementation in the public governance sphere outlined by civil servants..

• Journal of Convergence for Information Technology
• /
• v.10 no.12
• /
• pp.201-207
• /
• 2020

In this study, the practicality of unmanned aerial vehicle photography information was identified. Therefore, a total of four consecutive surveys were conducted on the field-level survey areas among the areas subject to photography using unmanned aerial vehicles, and the changes in crop conditions were analyzed using pictures of unmanned aerial vehicles taken during each survey. It is appropriate to collect and utilize photographic information by directly taking pictures of the survey area according to the time of the on-site survey using unmanned aerial vehicles in the field layer, which is an area where many changes in topography, crop vegetation, and crop types are expected. And it turned out that it was appropriate to utilize satellite images in consideration of economic and efficient aspects in relatively unchanged rice paddies and facilities. If the survey area is well equipped with systems for crop cultivation, deep learning can be utilized in real time by utilizing libraries after obtaining photographic data for a certain area using unmanned aircraft in the future. Through this process, it is believed that it can be used to analyze the overall crop and shipment volume by identifying the crop status and surveying the quantity per unit area.