• 대한안전경영과학회지
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• 제17권3호
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• pp.15-22
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• 2015

The risk assessment carried out on the construction site at the beginning of the implementation depends on the subjective judgment of risk of general contractor and subcontractors, whose opinion about frequency and intensity of risk is different. In this paper, research the awareness of general contractors and subcontractors about process of risk assessment at the construction site and its effectiveness. Researching of the main factors "frequency", "intensity" which determines the degree of risk gives the opportunity to find an option for improving the effective implementation of risk assessment.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권2호
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• pp.771-788
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• 2020

Detection of abandoned objects for smart video surveillance should be robust and accurate in various situations with low computational costs. This paper presents a new algorithm for abandoned object detection based on the dual background model. Through the template registration of a candidate stationary object and presence authentication methods presented in this paper, we can handle some complex cases such as occlusions, illumination changes, long-term abandonment, and owner's re-attendance as well as general detection of abandoned objects. The proposed algorithm also analyzes video frames at specific intervals rather than consecutive video frames to reduce the computational overhead. For performance evaluation, we experimented with the algorithm using the well-known PETS2006, ABODA datasets, and our video dataset in a live streaming environment, which shows that the proposed algorithm works well in various situations.

• International journal of advanced smart convergence
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• 제8권2호
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• pp.170-182
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• 2019

In this paper, we use scratch to design and develop non-formal learning experiences that are linked with contents of secondary science textbook to educational programs. The goal of this paper is to develop a convenient and interesting program for non-formal learning in a learning environment using various smart device. Theoretical approaches to mobile education, such as smartphones, and smart education support policies continue to lead to various research efforts. Although most of the smart education systems developed for students who have difficulty in academic performance are utilized, they are limited to general students. To solve the problem, the learning environment was implanted by combining the scratch, which is an educational programming that can be easily written. The science education program proposed in this paper shows the result of process of programming using ICT device using scratch programming. In the evaluation stage, we were able to display the creations and evaluate each other, so that we could refine them more by sharing the completed ideas.

• International Journal of Computer Science & Network Security
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• 제23권6호
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• pp.193-201
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• 2023

In this paper, we consider the maximum scatter traveling salesman problem (MSTSP), a travelling salesman problem (TSP) variant. The problem aims to maximize the minimum length edge in a salesman's tour that travels each city only once in a network. It is a very complicated NP-hard problem, and hence, exact solutions can be found for small sized problems only. For large-sized problems, heuristic algorithms must be applied, and genetic algorithms (GAs) are found to be very successfully to deal with such problems. So, this paper develops a hybrid GA (HGA) for solving the problem. Our proposed HGA uses sequential sampling algorithm along with 2-opt search for initial population generation, sequential constructive crossover, adaptive mutation, randomly selected one of three local search approaches, and the partially mapped crossover along with swap mutation for perturbation procedure to find better quality solution to the MSTSP. Finally, the suggested HGA is compared with a state-of-art algorithm by solving some TSPLIB symmetric instances of many sizes. Our computational experience reveals that the suggested HGA is better. Further, we provide solutions to some asymmetric TSPLIB instances of many sizes.

• 정보교육학회논문지
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• 제16권1호
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• pp.41-49
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• 2012

정보사회에 적응하기 위한 정보기술의 습득은 전문지식인을 양성하는 대학에서도 필수적이다. 따라서 각 대학의 교양교육에서 효율적인 정보교육을 위해 IT 유창성을 기를 필요가 있다. 본 연구는 미국 과학원 NRC99에서 정의하고 있는 IT 유창성의 관점에서 국내 대학들의 다양한 정보 교양교육과정 분석을 목적으로 한다. 2010년 9월부터 2011년 6월까지 대학정보공시 내용을 분석한 결과, 201개 대학 중 84개교가 교양필수 과정으로 정보교육을 실시하고 있었다. 그 중 29개 대학에 대해 구체적인 교육과정 내용 분석 결과, IT 유창성 영역 중 현대기술 영역에서는 응용 소프트웨어 활용교육에 집중되어 있었다. 기초개념 영역은 일부 다루어지고 있었으나, 지적능력에서 요구되는 학습내용은 거의 다루어지지 않고 있었다. 이상과 같이 본 연구는 그 동안 초중등 교육에서만 집중되었던 정보교육을 고등교육에서 이루어져야 할 학습내용과 현황을 분석했다는 데 그 의미가 있다.

• Journal of information and communication convergence engineering
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• 제15권4호
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• pp.217-226
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• 2017

Korea has the tenth largest film industry in the world; however, detailed analyses using the factors contributing to successful film commercialization have not been approached. Using big data, this paper analyzed both internal and external factors (including genre, release date, rating, and number of screenings) that contributed to the commercial success of Korea's top 10 ranking films in 2011-2015. The authors developed a WebCrawler to collect text data about each movie, implemented a Hadoop system for data storage, and classified the data using Map Reduce method. The results showed that the characteristic of "release date," followed closely by "rating" and "genre" were the most influential factors of success in the Korean film industry. The analysis in this study is considered groundwork for the development of software that can predict box-office performance.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권9호
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• pp.3204-3220
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• 2021

We perform the task of video object segmentation by incorporating a conditional random field (CRF) and convolutional neural networks (CNNs). Most methods employ a CRF to refine a coarse output from fully convolutional networks. Others treat the inference process of the CRF as a recurrent neural network and then combine CNNs and the CRF into an end-to-end model for video object segmentation. In contrast to these methods, we propose a novel higher-order CRF model to solve the problem of video object segmentation. Specifically, we use CNNs to establish a higher-order dependence among pixels, and this dependence can provide critical global information for a segmentation model to enhance the global consistency of segmentation. In general, the optimization of the higher-order energy is extremely difficult. To make the problem tractable, we decompose the higher-order energy into two parts by utilizing auxiliary variables and then solve it by using an iterative process. We conduct quantitative and qualitative analyses on multiple datasets, and the proposed method achieves competitive results.

• 공학교육연구
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• 제13권4호
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• pp.70-76
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• 2010

이 논문에서는 과학기술학의 연구성과를 활용하여 공학윤리의 주요 주제인 위험에 대한 체계적인 접근을 시도하였다. 위험의 유형은 불확실성의 정도에 따라 기술적 차원의 위험, 방법론적 차원의 위험, 인식론적 차원의 위험으로 구분할 수 있고, 각 유형에 대한 위험관리의 전략으로는 응용과학 전략, 전문가자문 전략, 탈정상과학 전략을 들 수 있으며, 해당 전략에 요구되는 전문성은 기술관료적 전문성, 상호소통적 전문성, 민주적 전문성으로 개념화할 수 있다. 이러한 논의는 위험에 대한 공학윤리교육을 보완하고 확장하는 데 기여할 수 있으며, 공학교육 전반에서 요구되는 교육목표와도 연관될 수 있다.

• 통합자연과학논문집
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• 제14권4호
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• pp.176-182
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• 2021

We live in the age of artificial intelligence, and big data and artificial intelligence education are no longer just for majors, but are required to be able to handle non-majors as well. Software and artificial intelligence education for non-majors is not just a general education, it creates talents who can understand and utilize them, and the quality of education is increasingly important. Through such education, we can nurture creative talents who can create and use new values by fusion with various fields of computing technology. Since 2015, many universities have been implementing software-oriented colleges and AI-oriented colleges to foster software-oriented human resources. However, it is not easy to provide AI basic statistics education of big data analysis deception to non-majors. Therefore, we would like to present a big data education model for non-majors in big data analysis so that big data analysis can be directly applied.

• 영재교육연구
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• 제14권3호
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• pp.19-40
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• 2004

This paper reports on current work using the Purdue Three-Stage Model to create enrichment classes in science, technology, engineering, and mathematics (the STEM disciplines). First, the history of the Purdue Three-Stage Model and general principles of curriculum and instruction for gifted and talented learners in math/science are reviewed. Then a detailed description of the Model is presented. Following the general description, five specific teacher applications of the Model are presented and compared with respect to the STEM disciplines and developmental levels addressed, and the relative emphasis of each unit on the different stages of the Model. Finally, the advantages of the Model as a framework for curriculum development in science, technology, engineering, and mathematics classes for talented youth are discussed.