• 한국해양공학회:학술대회논문집
• /
• 한국해양공학회 2006년 창립20주년기념 정기학술대회 및 국제워크샵
• /
• pp.298-302
• /
• 2006

As the age of information technology is coming, companies stress the need of knowledge management. Companies construct ERP system including knowledge management. But, it is not easy to formalize knowledge in organization. we focused on data mining system by using genetic programming. But, we don't have enough data to perform the learning process of genetic programming. We have to reduce input parameter(s) or increase number of learning or training data. In order to do this, the enhanced data mining system by using GP combined with SOM(Self organizing map) is adopted in this paper. We can reduce the number of learning data by adopting SOM.

• 의학교육논단
• /
• 제16권1호
• /
• pp.25-31
• /
• 2014

As a preliminary approach to developing a bedside teaching program, this study analyzed the instructional models that have been suggested for bedside teaching. The objects of analysis were four models: the 'Cox model,' which is composed of an experience cycle and an explanation cycle; the 'best teaching practice model' by Janicik and Fletcher; the 'twelve tips to improve bedside teaching' by Ramani; and the SNNAPS model for outpatient education by Wolpaw, Wolpaw, and Papp. This study was conducted in three steps. First, we identified the major components of each model and analyzed their characteristics and limitations. Second, we compared each model in terms of four aspects: the learner, learning interaction, learning context, and organization management. Third, on the basis of prior analysis, the possibilities and potential problems of the models were explored. Based on this review of the existing instructional design models, we proposed an additional four key elements for designing a bedside teaching program: multi-layered learners, various learning environments and contexts, time management by using media, and self-directed design.

• 한국환경교육학회지:환경교육
• /
• 제20권1호
• /
• pp.62-72
• /
• 2007

In spite of the perceived importance of sustainable development in society, we still fails to reflect consistently our best understandings about the sustainable development and education for sustainable development. The purpose of this study is to inquire into the orientation of education for sustainable development in the 21st Century knowledge-based society. The results of this study can be summarized as follows. First, it is necessary to provide newly defined sustainable development which enables us to transform unsustainable way of life into environmentally sound and sustainable development. Education for sustainable development is defined as a basic education that have a mature understanding among the human, nature and wisdom of life. Second, we should emphasis on a system thinking, basic communication in order to encourage education for sustainable development as a learning strategy. Third, we should suggest both individual and community learning education for sustainable development. Finally, we develope knowledge system of sustainable development in accordance with the theories of knowledge management. In conclusion, it is necessary to approach education for sustainable development in the context of the knowledge-based society and the information age. It enables us enhance a new awareness and attitudes towards sustainable development. Furthermore, it is expected to develop an education program for the sustainable development of understanding.

• 교육시설
• /
• 제11권5호
• /
• pp.24-34
• /
• 2004

The purpose of this study is to analyze the planning characteristics of contemporary Japanese elementary schools. Fifteen schools, that have new planning trends or design ideas have been selected and analyzed. The planning characteristics of schools identified by plan analyses are summarized as follows. First, space programs of schools are diverse, especially in support facilities, gymnasiums and auditoriums. These spaces can be used by community members. So it is assumed that needs of communities are reflected in space programs of schools. Second, various types of unit learning spaces consisting of multipurpose spaces and classrooms embodied in case schools tell the differentiation in the structure of unit learning spaces. Third, grouped with gymnasiums or auditoriums, special instructional spaces constitute community zones where school facilities are open to public. Fourth, replacing the monotonous circulation systems by corridors, multipurpose hall-type space organization systems make surrounding spaces more activated and complex and the multipurpose hall itself becomes the central part of schools. Finally, outdoor spaces are designed to have convenient access and approach zones to school precincts are linked with city street.

• 교육시설 논문지
• /
• 제18권5호
• /
• pp.43-50
• /
• 2011

There are emerging issues to update the educational environment for schools in terms of information and communication technology in order to provide customized programs to students as well as all participants relating to learning and teaching. The past year has been turbulent as the education facilities has changed and new procurement processes such as BTL have emerged. In this study, the feasibility analysis of ICT for the public educational environment is to analyse the current primary schools by means of collecting parent's opinion. In the web-site questionnaires, it was designed with 70 items such as teaching method, class organization, aptitude drill and educational community. As results, the statistical analysis is to propose the list of priority and orientation covering social agenda in the issue of ICT for education, the benefits schools can achieve by smart environment is to have the advanced learning services and solutions that represents parental engagement with identical local aims of interactive interface between their students and qualified teachers at a school. Both the national curriculum as well as the after-school program initiatives from the ministry of education, science and technology may reduce negative effects of private education so that the program has to be carefully developed for balanced education society revitalizing mutual communication within regional learning participants such as students, teachers and educational experts.

• 대한수학교육학회지:수학교육학연구
• /
• 제12권4호
• /
• pp.473-491
• /
• 2002

This article analyzes mathematics education from dialectical materialism acknowledging the objectivity of knowledge. The thesis that knowledge is objective advances to the recognition that knowledge will be internalized, and an idea of zone of proximal development(ZPD) is established as a practice program of internalization. The lower side of ZPD, i.e. the early stage of internalization takes imitation in a large portion. And in the process of internalization the mediational means play an important role. Hereupon the role of mathematics teacher, the object of imitation, stands out significantly. In this article, treating the contents of study as follows, I make manifest that teaching and learning in mathematics classroom are united dialectically: I hope to findout the method of teaching-learning to mathematical knowledge from the point of view that mathematical knowledge is objective; I look into how analysis into units, as the analytical method of Vygotsky, has been developed from the side of mathematical teaching-learning; I discuss the significance of mediational means to play a key role in attaining the internalization in connection with ZPD and re-illuminate imitation. Based on them, I propose how the role of mathematics teachers, and the principle of organization to mathematics textbook should be.

• International Journal of Computer Science & Network Security
• /
• 제21권12호
• /
• pp.213-218
• /
• 2021

This paper proposes a technique for detecting a significant threat that attempts to get sensitive and confidential information such as usernames, passwords, credit card information, and more to target an individual or organization. By definition, a phishing attack happens when malicious people pose as trusted entities to fraudulently obtain user data. Phishing is classified as a type of social engineering attack. For a phishing attack to happen, a victim must be convinced to open an email or a direct message [1]. The email or direct message will contain a link that the victim will be required to click on. The aim of the attack is usually to install malicious software or to freeze a system. In other instances, the attackers will threaten to reveal sensitive information obtained from the victim. Phishing attacks can have devastating effects on the victim. Sensitive and confidential information can find its way into the hands of malicious people. Another devastating effect of phishing attacks is identity theft [1]. Attackers may impersonate the victim to make unauthorized purchases. Victims also complain of loss of funds when attackers access their credit card information. The proposed method has two major subsystems: (1) Data collection: different websites have been collected as a big data corresponding to normal and phishing dataset, and (2) distributed detection system: different artificial algorithms are used: a neural network algorithm and machine learning. The Amazon cloud was used for running the cluster with different cores of machines. The experiment results of the proposed system achieved very good accuracy and detection rate as well.

• Genomics & Informatics
• /
• 제17권2호
• /
• pp.15.1-15.7
• /
• 2019

Automatically detecting mentions of pharmaceutical drugs and chemical substances is key for the subsequent extraction of relations of chemicals with other biomedical entities such as genes, proteins, diseases, adverse reactions or symptoms. The identification of drug mentions is also a prior step for complex event types such as drug dosage recognition, duration of medical treatments or drug repurposing. Formally, this task is known as named entity recognition (NER), meaning automatically identifying mentions of predefined entities of interest in running text. In the domain of medical texts, for chemical entity recognition (CER), techniques based on hand-crafted rules and graph-based models can provide adequate performance. In the recent years, the field of natural language processing has mainly pivoted to deep learning and state-of-the-art results for most tasks involving natural language are usually obtained with artificial neural networks. Competitive resources for drug name recognition in English medical texts are already available and heavily used, while for other languages such as Spanish these tools, although clearly needed were missing. In this work, we adapt an existing neural NER system, NeuroNER, to the particular domain of Spanish clinical case texts, and extend the neural network to be able to take into account additional features apart from the plain text. NeuroNER can be considered a competitive baseline system for Spanish drug and CER promoted by the Spanish national plan for the advancement of language technologies (Plan TL).

• 융합경영연구
• /
• 제8권1호
• /
• pp.36-49
• /
• 2020

Purpose - This study investigates factors that affected the utilization of trade support policies and further analyzed how the utilization of trade support policies affected export performance. Research design, data, and methodology - With a sample of 223 small and medium-sized export firms from South Korea, this study examines the determinants of the utilization level of trade support system such as export market orientation, learning orientation, network capability and environmental uncertainty by regression analysis. Results - Export market orientation have a positive effect on the utilization of the trade support system and there is positive relationship between learning orientation and the utilization of trade support system. And network capabilities have had a positive impact on the utilization of the trade support system but there is no relationship between environmental uncertainty and the utilization of trade support system. The utilization of the trade support system had a positive effect on export performance. Conclusions - The internal and external factors of the organization have affected small and medium-sized export firms use of trade support systems. The utilization of trade support system can enhance positive export performance by providing valuable information and resource to external knowledge and also to complementary resources from the external partners.

• 한국정보통신학회:학술대회논문집
• /
• 한국정보통신학회 2022년도 춘계학술대회
• /
• pp.498-500
• /
• 2022

CCTV는 위험 상황을 파악하고 신속히 대응함으로써, 인명과 자산을 안전하게 보호한다. 하지만, 점점 많아지는 CCTV 영상을 지속적으로 모니터링하기는 어렵다. 이런 이유로 CCTV 영상을 지속적으로 모니터링하면서 이상행동이 발생했을 때 알려주는 장치가 필요하다. 최근 영상데이터 분석에 인공지능 모델을 활용한 많은 연구가 이루어지고 있다. 본 연구는 CCTV 영상에서 관측할 수 있는 다양한 이상 행동을 분류하기 위해 영상데이터 사이의 공간적, 시간적 특성 정보를 동시에 학습한다. 학습에 이용되는 인공지능 모델로 End-to-End 방식의 3D-Convolution Neural Network(CNN)와 ResNet을 결합한 다중 분류 딥러닝 모델을 제안한다.