• Smart Media Journal
• /
• v.5 no.3
• /
• pp.54-61
• /
• 2016

According to many smart devices are development, SNS(Social Network Service) users are getting higher that is possible for real-time communicating, information sharing without limitations in distance and space. Nowadays, SNS users that based on communication and relationships, are getting uses SNS for information sharing. In this paper, we used the SNS posts for users to extract the category and information provider, how to following of recommend method. Particularly, this paper focuses on classifying the words in the text of the posts and measures the frequency using Inception-v3 model, which is one of the machine learning technique -CNN(Convolutional Neural Network) we classified image word. By classifying the category of a word in a text and image, that based on DMOZ to build the information provider DB. Comparing user categories classified in categories and posts from information provider DB. If the category is matched by measuring the degree of similarity to the information providers is classified in the category, we suggest that how to recommend method of the most similar information providers account.

• The Journal of Korean Society for School & Community Health Education
• /
• v.16 no.1
• /
• pp.93-105
• /
• 2015

Objectives: This study is for understanding the perceived job training of the public health promotion program officials and analysis the educational needs in order to serve as the basis for the development of the future educational programs. Methods: To this end, we have developed a survey based on references and consultations with experts. We had explained the purpose and the intent of the survey to nationwide public health directors in advance and an online questionnaire was conducted for health promotion program and service providing personnel; the results from a total of 763 survey respondents were used in the final analysis. Collected data were analyzed through SPSS Win 21.0. Results: The results shows that the tasks of public health promotion personnel are 'business practices,' 'planning and evaluation related work' and so on in order of importance while the duties of service providing personnel are 'counseling,' 'education' and so on. One of the factors affecting field applications of education is 'awareness of the connection between education and career development' which accounts for 33% of explanatory power; the selected six other factors constitute 41.7%. Necessary educational contents for public officials are 'public health service planning,' 'report writing skills' and 'project evaluation methods.' On the other hand, for service providers, the contents are 'counseling methods,' 'development of educational materials,' 'monitoring health status' and so on. Conclusions: In order for trained service personnel to accord with the changed health promotion environment and the demand of local residents, Public Health Promotion officials should increase educational opportunities based on the competencies for each job, provide continuous learning opportunities and information even after the training, and finally, create a system that can link to career development.

• Journal of the Korea Convergence Society
• /
• v.10 no.3
• /
• pp.141-147
• /
• 2019

The purpose of this paper was to develop advertising curriculum demanded in advertising industry in the fourth industrial revolution. A survey was conducted targeting 121 human resources manager in advertising agencies. The results showed that advertising curriculum in Korean university was far behind coping with the fourth industrial revolution and needed to improve for suitable curriculum reform process. The results indicated that proper methods of operation for advertising curriculum were project based learning, practical work based education, convergence education with theory and practical work, and connection with software education. Practical and theoretical suggestions are interpreted in relation to the fourth industrial revolution and advertising education and manpower.

• Journal of Biomedical Engineering Research
• /
• v.42 no.6
• /
• pp.287-294
• /
• 2021

Cardiotoxicity assessment of all drugs has been performed according to the ICH guidelines since 2005. Non-clinical evaluation S7B has focused on the hERG assay, which has a low specificity problem. The comprehensive in vitro proarrhythmia assay (CiPA) project was initiated to correct this problem, which presented a model for classifying the Torsade de pointes (TdP)-induced risk of drugs as biomarkers calculated through an in silico ventricular model. In this study, we propose a TdP-induced risk group classifier of artificial neural network (ANN)-based. The model was trained with 12 drugs and tested with 16 drugs. The ANN model was performed according to nine features, seven features, five features as an individual ANN model input, and the model with the highest performance was selected and compared with the classification performance of the qNet input logistic regression model. When the five features model was used, the results were AUC 0.93 in the high-risk group, AUC 0.73 in the intermediate-risk group, and 0.92 in the low-risk group. The model's performance using qNet was lower than the ANN model in the high-risk group by 17.6% and in the low-risk group by 29.5%. This study was able to express performance in the three risk groups, and it is a model that solved the problem of low specificity, which is the problem of hERG assay.

• Journal of Convergence for Information Technology
• /
• v.12 no.2
• /
• pp.157-162
• /
• 2022

In a society full of knowledge and information, digital literacy and artificial intelligence (AI) education that can utilize AI technology is needed to solve numerous everyday problems based on computational thinking. In this study, data-centered AI education was conducted while teaching computer programming to non-computer programming students at universities, and the correlation between major factors related to academic performance was analyzed in addition to student satisfaction surveys. The results indicated that there was a strong correlation between grades and problem-solving ability-based tasks, and learning satisfaction. Multiple regression analysis also showed a significant effect on grades (F=225.859, p<0.001), and student satisfaction was high. The non-computer programming students were also able to understand the importance of data and the concept of AI models, focusing on specific examples of project types, and confirmed that they could use AI smoothly in their fields of interest. If further cases of AI education are explored and students' AI education is activated, it will be possible to suggest its direction that can collaborate with experts through interest in AI technology.

• 한국정보교육학회:학술대회논문집
• /
• 2021.08a
• /
• pp.101-105
• /
• 2021

With the advent of the 4th industrial revolution era, many countries around the world are making efforts to prepare for a new future. In addition to changes in the industrial structure, efforts are being made to reflect new changes in the education system to cultivate human resources. As one of the important parts of change, software education is reflected as a core area of the curriculum and introduced as a future competency in order to cultivate human resources who can prepare for and lead the change into a computer-oriented intelligent information society. In this study, the purpose of this study was to examine the perceptions of pre-service teachers on software education, analyze the direction and thoughts they have about elementary school information education, and examine the necessity and direction of the subject. Based on the responses of preliminary teachers, it was suggested that project-based learning is necessary for how SW education is carried out in the school field, and they answered that the evaluation should be performed through observational evaluation. In addition, as a result of examining the perception of prospective teachers, it was possible to see the result that SW education is recognized as an important competency for preparing for the future society.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.19 no.3
• /
• pp.551-562
• /
• 2024

This study relates to a method and device for extracting and tracking moving objects. In particular, objects are extracted using different images between adjacent images, and the location information of the extracted object is continuously transmitted to provide accurate location information of at least one moving object. It relates to a method and device for extracting and tracking moving objects based on tracking moving objects. People tracking, which started as an expression of the interaction between people and computers, is used in many application fields such as robot learning, object counting, and surveillance systems. In particular, in the field of security systems, cameras are used to recognize and track people to automatically detect illegal activities. The importance of developing a surveillance system, that can detect, is increasing day by day.

• Journal of Technology Innovation
• /
• v.20 no.2
• /
• pp.75-107
• /
• 2012

Previous researches on technological innovation have several limitations such as lack of general mechanism for technological innovation(inputs, throughputs and outputs of technological innovation), large company oriented studies, and ignoring importance of technology management capabilities. So, this study suggested a new model using resource-based theory and system theory, and empirically applied that to SMEs. Structural equation model analysis by using 223 SMEs in Daegu region provided a support for most of hypotheses. Research results showed that all of factors on technological innovation were significantly and positively related with each other: inputs(R&D leadership, innovation strategy, R&D investment, R&D human resource management, external network), throughputs(portfolio management, project management, technology commercialization) and output(technological innovation). In case of technological innovation inputs, R&D leadership influenced on innovation strategy positively and significantly. And R&D leadership and innovation strategy had positive and significant effects on R&D investment, R&D human resource management and external network. R&D human resource management and external network exerted positive and significant influences on technological innovation throughputs such as portfolio management and project management. But R&D investment did not significant impacts on technological innovation throughputs. Among technological innovation throughputs, both portfolio management and project management had positive and significant effect on technology commercialization. In addition, technology commercialization acted positively and significantly technological innovation output. This study suggests necessary of efforts to implement innovation strategy and manage R&D human resource effectively based on CEO's innovativeness and entrepreneurship. Also, if SMEs want to develop technology and commercialize it, they have to cooperate with external technology resources and informations. Research results revealed that proper level of R&D investment, internal and external communication, information sharing, and learning and cooperative culture were very important for improvement of technological innovation performance in SMEs. Especially, this research suggested that if SMEs manage technological innovation process effectively based on resource-based and system approaches, then they can overcome their resource limitations and gain high technological innovation performance. Also, useful policy support for technological innovation of central or regional government by this research model is important factor for SMEs' technological innovation performance.

• Journal of Korean Home Economics Education Association
• /
• v.30 no.4
• /
• pp.165-185
• /
• 2018

The purpose of the study was to show the development process of the total instructional alignment based on the 2015 revised technology home economics curriculum, and to present the detailed aspects of this task. The results of this study were as follows: First, the clarity phase of the performance established the annual evaluation plan to ensure the consistency of the achievement standard, the learning objectives and the assessment objectives through an analysis of the curriculum. Second, the development phase of the performance tasks and the grading criteria analyzed the contents area and determined the performance assessment task. The performance assessment consisted of a portfolio and project activity types, and also comprised of knowledge markets, as well as e-NIE tasks, including individual tasks and collective tasks. Third, the performance assessment and the results phase were conducted after planning the class operation according to the instructors' directions and arrangement of the schedule into block classes. Afterwards, the performance assessment tasks were revised by the teaching-learning community and class reflection on practical application. As these results demonstrate, developing performance tasks that are centered on the learner's development processes can contribute to teachers' expertise and improvement of instruction.

• Journal of the Korea Society of Computer and Information
• /
• v.27 no.3
• /
• pp.209-216
• /
• 2022

In this paper, we propose an effective software education program to promote employment of the disabled and verify the effectiveness of SW education through pilot operation. In this SW education program, we develop a SW curriculum consisting of the basic course, Unity programming course, and the advanced course, AR/VR digital content development course. The SW education achievement standard develops the basic and advanced course achievement standards in consideration of the level of the virtual reality content production job of the National Competency Standards(NCS) and the SW education achievement standards of youth with visual, hearing, and physical disabilities. SW education materials are developed on a project basis so that one AR/VR digital content can be implemented step by step according to the intellectual level of the disabled based on Unity. SW education pilot training is conducted as online education based on Blended Learning due to COVID-19. In order to derive the SW education effect and each learner's individual SW education academic achievement for the SW education pilot training, a survey is conducted on learners, and the results are analyzed. In the basic course, 77.3% of learners achieved academic achievement above excellent(80-90), and in the advanced course, 48.8% of learners achieved academic achievement above excellent(80-90). These results verify that the SW education program for the disabled developed in this paper is effective in activating employment for the disabled.