• 정보교육학회논문지
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• 제22권4호
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• pp.409-417
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• 2018

현재 초등학생에게 인터넷을 가르칠 수 있는 여러 언플러그드 활동들이 개발되어 있다. 그러나 이 활동들은 인터넷의 작동 원리를 가르치는 것이 주목적이기 때문에, 초등학생들에게 웹(Web)의 개념을 알려주기에는 충분하지 않다. 웹은 인터넷처럼 제3차 산업혁명의 핵심 기술일 뿐만 아니라 학생들이 매일 접하는 기술이기 때문에 기본 상식으로 알아둘 필요가 있다. 본 논문에서는 초등학생에게 웹을 이해시키기 위해, PageRank 알고리즘의 원리를 이해하는 언플러그드 활동을 개발하였다. 개발된 언플러그드 활동은 실제 PageRank 알고리즘을 상당히 높은 정확도로 모사한다는 것을 실험적으로 나타내었다.

• International Journal of Contents
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• 제14권3호
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• pp.27-31
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• 2018

Social network service (SNS) data related to green tourism were used to estimate preferred tour sites and users' interests. Keywords related with green tour activities were employed to search the SNS data. SNS data were collected from Korean blogs such as Naver and Daum from June $1^{st}$ to August $31^{st}$ between 2015 and 2017 using text-mining solution. During the study period, seven hundred and five posts were analyzed. Associated words that frequently co-occurred with keywords were classified into different categories depending on the nature of associated words. Associated words included swimming pools and camping sites (location); experience and swimming pools (attribute); and water play and culture (culture/leisure). Our data suggest that SNS users with experience of green tourism in Korea exhibited interest in green tourism with swimming pools, camping sites, experience, water play and/or culture rather than particular popular sites. Based on the findings, it is recommended that preferred facilities such as swimming pools should be provided at green tourism sites to meet the users' needs and to facilitate green tourism.

• 컴퓨터교육학회논문지
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• 제14권5호
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• pp.47-54
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• 2011

본 연구의 목적은 다문화 사회로의 급격한 환경변화에 따라 사회참여활동을 활성화하기 위한 신정보 소외계층인 이주민 여성의 지역별 정보화 실태를 분석하고 지역적 특성에 적합한 이주민 여성의 정보화 과정을 제안하였다. 연구 결과, 이주민 여성이 제일 많이 하는 활동은 취미 및 여가 활동이었고 지역별로는 정보화 교육을 활발히 하고 있는 지역과 도시지역이 전체적으로 사회 활동이 높았다. 결론적으로, 경상북도와 광주 등과 같은 지역의 사회참여활동을 위해서는 가장 기초적인 정보화 교육과정을 제공할 필요가 있으며, 서울과 대전, 제주도와 같이 활발한 사회참여활동이 이미 이루어지는 곳에서는 정보화 트랙을 연계한 더 높은 수준과 과정의 필요성을 제안하였다.

• 대한가정학회지
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• 제42권11호
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• pp.61-84
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• 2004

The purpose of this study is to present foundational data to promote the cultural welfare status of youth. The actual condition of the youth's cultural welfare was investigated by investigating the degree of youth's cultural welfare satisfaction and needs by regional groups. A total of 1486 questionnaires were used for the final data analysis. The analysis revealed the following results. 1. Actual conditions of adolescents cultural welfare. 1) Among various cultural activities, adolescents find leisure and social activity, artistic, mass media and video-media activities very boring and one-sided, Instead, they have greater interest in computer- and Internet-related activities, such as getting and sharing information and communication. 2) While adolescents living in urban areas benefit from well developed social infra-structure, those living in rural areas seldom take advantage of it. 3) The obstacles against cultural welfare of the youth can be categorized as: 'lack of money,' 'lack of time,' and 'lack of cultural facilities. ' In urban areas 'lack of time' becomes an issue, whereas in rural areas 'lack of money' and 'lack of cultual facilities' are important. 2. Degree of cultural welfare satisfaction of the youths. Youths generally appear either 'unsatisfied' or 'neutral' concerning their satisfaction degree about leisure and social activity parts, and art and play-activity paris. On the other hand, they appear 'neutral' concerning their satisfaction degree about computer- and Internet-related information and communication parts, and mass- and video-media activity parts. In addition, urban youths show a higher degree of satisfaction than rural youths. 3. What the youths need To improve their culture welfare status, they need a lot of supplements for cultural activity in the form of cultural infra-structure. Regarding the cultural infra-structure, rural youths need more than urban youths.

• Nuclear Engineering and Technology
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• 제44권6호
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• pp.663-672
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• 2012

As software based digital I&C (Instrumentation and Control) systems are used more prevalently in nuclear plants, enhancement of software dependability has become an important issue in the area of nuclear I&C systems. Critical attributes of software dependability are safety and reliability. These attributes are tightly related to software failures caused by faults. Software testing and V&V (Verification and Validation) activities are hence important for enhancing software dependability. If the risky modules of safety-critical software can be predicted, it will be possible to focus on testing and V&V activities more efficiently and effectively. It should also make it possible to better allocate resources for regulation activities. We propose a prediction technique to estimate risky software modules by adopting machine learning models based on software complexity metrics. An empirical study with various machine learning algorithms was executed for comparing the prediction performance. Experimental results show SVMs (Support Vector Machines) perform as well or better than the other methods.

• Physical Therapy Rehabilitation Science
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• 제11권3호
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• pp.363-369
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• 2022

Objective: The purpose of this study was to prepare evidence for the prevention and management of nonspecific chronic neck pain (NSCNP) by examining the correlation between activity of daily living and physical activities of office workers with NSCNP. Design: Crossed-sectional study Methods: 89 patients with NSCNP were recruited for this study. But 2 subjects met the exclusion criteria and were dropped out, and 86 subjects finally participated. Numerical pain rating scale (NPRS) and neck disability index (NDI) were used to check the pain intensity and disability of patients with neck pain, respectively. For the activity of daily living, computer use time, sleep time, and driving time were used. To find out the physical activities of the subjects, International Physical Activity Questionnaires (IPAQ-SF) was used. Correlation analysis was performed to find out the correlation of each variable. Results: A clear positive correlation was established between computer use time and pain (p<0.05), and a clear positive correlation was established between computer use time and disability index (p<0.05). The correlation between NPRS and NDI and physical activity total time, high intensity activity score, moderate intensity activity score, and walking score were not statistically significant (p>0.05). Conclusions: In treating patients with NSCNP, it is necessary to reduce the computer usage time as a professional factor or to educate the proper posture. In addition, rather than emphasizing physically comprehensive physical activity, grafting therapeutic exercise directly related to neck pain could have a more positive effect on NSCNP patients.

• 한국컴퓨터정보학회논문지
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• 제23권4호
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• pp.97-106
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• 2018

Software maintenance activities have always been important issues in many domains of the software industry. In order to help to resolve this issue, software modularization approaches have been studied to build adequate modules with high cohesion and low coupling; such modular structures can help the comprehension and maintenance of complex systems. In this paper, we propose a GUI-based automated approach for software modularization based on GUI structure analysis. GUI is a principal manner to allow users to access the overall functionalities of a software system; in particular, GUI is closely related to software functionalities, which makes it a promising tool to identify and understand the entire software system. We also implement a software tool to support our approach and evaluate it with a case study using an open source software.

• 한국컴퓨터정보학회논문지
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• 제21권1호
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• pp.199-205
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• 2016

In this paper, we propose a analysis of electric and electronic's unit in paratical arts and convergence education program to enhance computational thinking. In the current practical arts curriculum of Korean elementary school 6th graders, the 'information' related chapter is Chapter 3. However, educational contents mainly consist of making activities according to the specified manual such as electrical and electronic products, learning about robots, etc. It is very insufficient to develop the computational thinking required by the software-centered society. Therefore, we are to study development of convergence education program of the 'Life and Electricity Electron' unit in practical arts textbook to enhance computational thinking.

• 컴퓨터교육학회논문지
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• 제19권1호
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• pp.53-62
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• 2016

컴퓨팅 사고력은 컴퓨터를 기반으로 하는 문제해결에 관한 하나의 사고 과정으로 정의될 수 있기 때문에 일반적인 문제해결의 과정에서 관련된 컴퓨팅 사고력 개념들을 살펴보는 것은 컴퓨팅 사고력을 이해하는데 도움이 될 수 있다. 이를 위해 본 연구에서는 관련 연구를 통해 컴퓨팅 사고력의 핵심 요소들을 뽑아내고 그러한 요소들이 문제 해결과정에서 어떻게 사용되는지를 기술한다. 또한 문제해결과정에서의 컴퓨팅 사고력 요소들을 인지적인 측면에서 살펴본 후, 각 단계에서의 학습활동과 학습평가 요소들을 기술한다. 이를 기초로 문제 해결의 관점에서 컴퓨팅 사고력을 위한 기본 수업 프레임워크를 제안한다.

• 한국컴퓨터정보학회논문지
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• 제24권1호
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• pp.25-32
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• 2019

With the rapid development of artificial intelligence technology, the patenting activities related to the fields of AI is increasing worldwide. In particular, a share of patent filed in China has exploded in recent years and overtakes the numbers in the US. In the present study, we focus our attention on the patenting activity of China and the US. We analyzed 6,281 and 13,664 patent applications in the US and China respectively between 2008 and 2018, and belonging to the "G06F(Electric Digital Data Processing)", "G06N(Computer Systems Based on Specific Computational Models)", "H04L(Transmission of Digital Information)" and nine more relevant technological classes, as indicated by the International Patent Classification(IPC). Our analysis contributes to: first, the understanding of patent application trends from foreign countries filed in the US and China, 2) patent application status by applicants category such as companies, universities and individuals, 3) the development direction and forecasting vacant technology of AI according to main IPC code. Through the analysis of this paper, we can suggest some implications for patent research related to artificial intelligence in Korea. Plus, by analyzing the most recent patent data, we can provide important information for future artificial intelligence technology research.