• 디자인융복합연구
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• 제15권2호
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• pp.237-250
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• 2016

급속도로 발달한 정보기술은 산업환경 전반에 걸쳐 정보와 기능의 통합화를 이루며 우리 생활에 많은 영향을 미치고 있다. 특히 사물인터넷(IoT), 클라우드 컴퓨팅, 빅 데이터 분석 등 새로운 통신 환경의 출현은 인터넷을 중심으로 한 모든 전자기기들의 연결을 가능하게 함에 따라 이제는 산업 환경을 넘어 주거환경까지 변화시키는 중요한 매체로 주목받고 있다. 이에 따라 본 연구의 목적은 고도로 발전하는 기술과 함께 진화하는 주거환경의 스마트 가전의 유형과 그 특성을 파악하고자 하는 것이다. 그리고 이를 위해 한국, 중국, 일본의 대표적인 브랜드 상품((Samsung, Haier, Panasonic)을 선정하여 각 특성을 비교 분석 하였다. 선정된 브랜드는 GHA(General rules of intelligentization technology for intelligent household appliances)의 스마트 가전 적용 기준을 활용하여 각 유형을 분석하였다. 분류된 유형은 스마트 가전 사용자가 자율적(Self)으로 학습, 활용, 적용, 진단, 추론, 구성, 조절 등이 가능한 7가지의 유목으로 나누어졌으며, 이를 기준으로 나타난 각 국가별 브랜드 상품은 의(Clothing), 식(Food), 주(Housing)의 범주로 체계화 하였다. 브랜드별 나타난 주요 특성으로는 한국의 삼성은 원격제어 기능이, 중국의 하이얼은 전자기술의 적용이, 일본의 파나소닉은 에코나비(ECONAVI)인 에너지 절약 시스템으로 나타났다.

• International Journal of Knowledge Content Development & Technology
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• 제14권1호
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• pp.19-31
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• 2024

In order to support the mission of the institution in which they are attached, academic libraries provide services in both manual and digital but COVID -19 pandemic that spanned between March and September, 2020 has changed the scenario. With particular reference to Nigeria, about 249,606 cases were confirmed and in order to curb the scourge of this deadly disease, physical academic activities were prevented by Nigeria Centre for Disease Control (NCDC). With this development, innovative tools became indispensable tools for successful delivery of library services in Nigerian academic libraries. Whether or not these tools are still in use for reformation of library service during post- Covid era remains unclear, hence, need for this study. This study examined librarians' use of innovative tools for information dissemination in Nigerian academic libraries during the post-Covid era using a descriptive survey design. Data were obtained both in quantitative and qualitative formats from one hundred and forty-four librarians as respondents. A total enumeration sampling technique was adopted because the population was minimal. Findings of the study revealed that innovative tools such as videoconferencing, WhatsApp, teleconferencing, Facebook, LinkedIn, and web-based learning applications are still in use by librarians for the dissemination of information during the post-Covid era. These tools are useful and beneficial to librarians during the post-COVID era, as they facilitate easy participation and engagement of library users in various discussions. Inadequate funding and lack of advanced technology skills were also identified as major impediments to the successful use of innovative tools for information dissemination. As a result, it was suggested that academic libraries throughout Nigeria prioritize staff training on the necessary digital skills needed to cope in this advanced technology era.

• 디자인학연구
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• 제13권3호
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• pp.17-28
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• 2000

본 연구는 도형적 창의성을 요하는 디자인 전공 학생을 대상으로 창조적 아이디어를 어떻게 계발, 향상시킬 수 있는가에 대한 연구문제를 가지고 이에 대한 적절한 훈련프로그램을 개발하고, 대상 학습집단에 투입하여 훈련 전, 후의 효과를 밝힘으로서 훈련 프로그램의 정형을 제시하고자 하는데 연구의 목적 이 있다. 연구의 대상은 4년제 대학교 2개교와 2년제 대학 3개교에 각각 2개 반을 선정하였으며, 총 352명을 대상으로 하였다. 연구의 영역은 실증적 연구로 실험집단과 통제집단으로 구분하여 훈련을 수행하며, 연구의 결과를 검증하기 위하여 표준화된 창의력 검사지를 사용하였다. 연구의 방향으로 가설을 설정하고 이를 검증하는 방식으로 연구를 진행하고, 가설은 훈련의 효과, 학제간의 차이, 창의력에 미치는 효과로 하였다. 연구결과에서, 훈련의 효과가 있는 것으로 나타났고, 학제간에는 훈련의 차이가 없는 것으로 나타났으며, 훈련의 효과는 창의력 결과에도 미치는 것으로 나타났다.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2005년도 학술발표회 논문집
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• pp.44-51
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• 2005

Water flow in rivers during flood season can be 10 to 100 fold higher than normal seasons (low precipitation) in Japan and predicting flood runoff is essential for operating reservoirs with discharging gates. Abundant experiences and knowledge are requisites for operators to be able to make efficient decisions at work. This research investigated a method to transfer technical knowledge by acquiring skills and knowledge from actual dam operators and by using the information to construct an educational training system. The purpose of the research was to enable the execution of a secure and rational reservoir operation during flood period. The educational training system for reservoir operation was developed with the focuses on acquiring knowledge on hydraulics and hydrology and learning about decision making related to the reservoir operation as well as the timing of control. The system is capable of conducting education that corresponds to individual levels in each location. Of the educational training methods, a lecture method that uses textbooks is effective for the understanding of basic knowledge and concepts while a training method that uses a simulation device is essential for the practice of advanced and specialized procedures in specific fields. Simulation devices are used in operational training for airplane flight and driving cars and trains. The educational system presented here was designed to provide further assistance to those who have acquired basic knowledge and concepts through textbooks and also to at low them to perform the satisfactory operation of dam equipment. Our research proposes a method which can realize a system to acquire technical skills-the skills which are the foundation of technical knowledge and operation.

• PNF and Movement
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• 제16권1호
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• pp.27-32
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• 2018

Purpose: This study examined changes in gait speed and stride length after an intervention involving simultaneous scapular and pelvic patterns of proprioceptive neuromuscular facilitation in a hemiplegic patient. Methods: A 58-year-old woman with left hemiplegia who had complained of slowness of gait speed and weakness of leg strength took part in an intervention involving scapular postdepression patterns on the affected side and pelvic postdepression patterns on the nonaffected side. The intervention was performed with the patient lying on her left side, in a half kneeling position, and in a standing posture. Rhythmic initiation was used for teaching the movements to the patient and improvement of kinesthesia, and a combination of isotonic was employed for increasing strength and irradiation of the scapula and pelvic movement. The intervention took place for 30 min. It was implemented twice a day, 5 days a week, for 3 weeks. After three repetitions, the average time taken to complete the 10-m walk test (10 MWT), in addition to stride length, was measured to determine gait speed. Results: After the 3-week program, the patient's performance in the 10 MWT improved from 21.7sec to 17.1sec, and her stride length improved from 31.4cm to 38.7cm. Conclusion: The results showed that trunk movement exercise, especially coordinative movements of the scapula and pelvis can improve gait speed and stride length by increasing trunk stability and mobility. A combination of pelvic and scapular patterns can facilitate trunk rotation, thereby improving gait speed and stride length.

• 한국초등과학교육학회지:초등과학교육
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• 제31권1호
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• pp.109-124
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• 2012

Developing pedagogical content knowledge (PCK) has been emphasized for teacher's professionalism and it should be done from systematic teacher training courses. In this study, we investigated changes of elementary pre-service teachers' PCK of science teaching and motivational strategies before and after a training course. For the analysis of pre-service teachers' PCK, their lesson plans, surveys, and interviews were collected. According to the results, in the beginning of the semester, pre-service teachers in the experimental group usually used didactic or combination of didactic and inquiry teaching strategies and a few pre-service teachers used inquiry or discovery teaching strategies when making lesson plans. However, at the end of the semester many pre-service teachers used inquiry teaching strategies in their lessons which included activities of asking students' prior knowledge, conducing experiments, finding conclusion, and comparing teachers' explanations with students' explanations. Regarding motivational strategies, in the beginning of the semester they focused using activities to create student's emotional interest in science lesson but at the end they used other strategies to create positive atmosphere for learning, capture intellectual interest in science, and connect science to students' everyday lives. The changes in pre-service teachers' PCK in the experimental group was meaningful because there was less change in pre-service teachers' PCK in the control group. This study implies the need for effective professional development programs for developing pre-service teachers' PCK.

• 한국초등과학교육학회지:초등과학교육
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• 제24권4호
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• pp.380-390
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• 2005

This study aims to examine the 5th grade students' motivation and the influence of the movivation on their science learning with ARCS strategies. To achieve the goal of the study, two groups were selected from an elementary school at Changwon, in Korea: Treatment Group (TG) and Control Group (CG). TG was trained for applying ARCS strategies, whereas CG were taught in a traditional manner for 13 weeks. Before and after the treatment, both groups answered the questions in the form of PALS in order to know their general motivation of teaming science. In the middle of the treatment, they were also tested to sort out their motivation, which might be occurred during the class, by CIS. After the period of the 13 weeks, the students' motivation were finally measured after their teaming with ARCS strategies. The results are as follows: First, there were significant differences between TG and Cf when motivation was measured by PALS. Second, there was also significant contrast between TG and CG in CIS, which was conducted during the class. TG gained more scores on the ARCS motivation, attention, relevance, confidence, and satisfaction. Third, It has been found that most students recognized the ARCS as one of the positive and interesting teaming strategies. To conclude, the results above show that the ARCS strategies would be very helpful for the 5th grade students to improve their teaming motivation as well as to appeal their interest on their science loaming.

• Healthcare Informatics Research
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• 제24권4호
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• pp.253-262
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• 2018

Objectives: We reviewed digital epidemiological studies to characterize how researchers are using digital data by topic domain, study purpose, data source, and analytic method. Methods: We reviewed research articles published within the last decade that used digital data to answer epidemiological research questions. Data were abstracted from these articles using a data collection tool that we developed. Finally, we summarized the characteristics of the digital epidemiological studies. Results: We identified six main topic domains: infectious diseases (58.7%), non-communicable diseases (29.4%), mental health and substance use (8.3%), general population behavior (4.6%), environmental, dietary, and lifestyle (4.6%), and vital status (0.9%). We identified four categories for the study purpose: description (22.9%), exploration (34.9%), explanation (27.5%), and prediction and control (14.7%). We identified eight categories for the data sources: web search query (52.3%), social media posts (31.2%), web portal posts (11.9%), webpage access logs (7.3%), images (7.3%), mobile phone network data (1.8%), global positioning system data (1.8%), and others (2.8%). Of these, 50.5% used correlation analyses, 41.3% regression analyses, 25.6% machine learning, and 19.3% descriptive analyses. Conclusions: Digital data collected for non-epidemiological purposes are being used to study health phenomena in a variety of topic domains. Digital epidemiology requires access to large datasets and advanced analytics. Ensuring open access is clearly at odds with the desire to have as little personal data as possible in these large datasets to protect privacy. Establishment of data cooperatives with restricted access may be a solution to this dilemma.

• 디지털융복합연구
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• 제19권2호
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• pp.215-220
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• 2021

최근 국내 미세먼지 발생의 증가에 따라 발생하는 인체에 유해한 영향을 줄이기 위하여, 미세먼지 수치를 예측하고 사전 조치를 취할 수 있도록 돕는 기술이 필요해지고 있다. 본 논문에서는 국내 미세먼지 위험 수준을 예측하기 위한 1D Convolutional to Recurrent Neural Network (1-D CRNN) 모델을 제안한다. 제안 된 모델은 딥러닝 신경망의 CNN과 RNN을 결합한 구조이며, 다른 종류의 데이터로 구성된 시계열 데이터 세트에서 데이터 예측을 수행 할 수 있다. 데이터 예측을 위해 국내·외 미세먼지, 풍향, 풍속 데이터를 사용한다. 제안된 모델은 약 76%(부분 최대 84%)의 정확도를 달성했으며, 일반 RNN 모델(53%)보다 정확한 예측 결과를 얻었을 수 있었다. 제안된 모델은 향후 여러 개의 시계열 데이터 세트를 고려해야 하는 데이터 예측 모델 학습 및 실험을 목표로 한다.

• 대한원격탐사학회지
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• 제39권6_3호
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• pp.1763-1770
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• 2023

고해상도 위성영상 시계열 데이터 확보가 쉬워져 이를 활용한 변화탐지 연구가 활발히 이뤄지고 있다. 위성영상 화소 및 객체 단위 변화탐지 알고리즘 뿐만 아니라, 최근 딥러닝 기술을 적용한 알고리즘 등 다양한 방안이 연구되고 있다. 이런 유용한 결과의 활용도를 높이기 위한 QGIS 플러그인 기반 시스템 구축 방안을 제시하고 실 구축 사례를 제시한다. 제안한 시스템은 관심지역에 대한 집중적인 변화탐지 모니터링을 위한 시스템이며, 향후 개발할 알고리즘의 편리한 시스템 확장 방안을 제시한다. 더 나아가 변화탐지 연구결과 현업화의 기본 구조를 제시하여 위성영상 활용 시스템 구축에 기여할 것으로 기대한다.