• Annual Conference of KIPS
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• 2024.10a
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• pp.888-889
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• 2024

주차 관리 서비스의 개발은 제한된 주차 자원을 효율적으로 활용하고, 실시간 주차 수요를 파악하며, 사용자에게 편리한 서비스를 제공하는 데 중요한 역할을 한다. 본 논문에서는 AI 기반의 딥러닝 모델과 영상 처리 기술을 결합하여 빌라의 주차 공간을 효율적으로 관리하는 시스템을 제안한다. 이 시스템은 YOLOv8를 활용하여 차량 객체를 실시간으로 감지하고, OpenCV를 사용하여 주차 공간의 빈자리를 인식한다. 또한, 예상 출차 시간을 강화학습 기반의 알고리즘을 이용하여 사용자에게 제공하며, 이를 통해 주차 공간의 효율적 이용을 극대화한다. 서버는 주차장 내 주차 현황과 출차 시간을 실시간으로 갱신하며, 관리자는 웹 플랫폼을 통해 데이터를 모니터링 및 관리하고, 사용자는 웹 또는 모바일 애플리케이션을 통해 주차 공간 조회와 차량 예상 출차 시간을 제공받을 수 있다. 다양한 실험을 통해 제안된 시스템의 성능과 정확성을 확인하였으며, 이를 통해 주차 관리의 자동화와 편리성 향상에 기여할 수 있을 것으로 예상된다.

• Education of Primary School Mathematics
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• v.27 no.2
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• pp.111-137
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• 2024

The purpose of this study is to identify the expected difficulties and necessary support when applying the 2022 revised mathematics curriculum to elementary schools, and to support the establishment of the field. To this end, we explored the major changes in the 2022 revised mathematics curriculum, and based on this, we conducted a survey of elementary school teachers to identify the expected difficulties and necessary support when applying it in the field. In particular, when analyzing the results, we also examined whether there were any differences in the expected difficulties and necessary support depending on the size of the school where it is located and the teaching experience of the teacher. The research results are as follows. First, the proportion of teachers who expect difficulties in applying the 2022 revised mathematics curriculum was mostly below 50%, but the proportion of teachers who demand support was much higher, at around 80%. Second, the difficulty of elementary school teachers in applying the 2022 revised mathematics curriculum was found to be the greatest in evaluation. Third, in relation to the use of edutech, teachers in elementary schools are also expected to have difficulties in teaching and learning methods to foster students' digital literacy, assessment using teaching materials or engineering tools, and assessment in online environments. Fourth, the difficulty of elementary school teachers in applying the 2022 revised mathematics curriculum was also significant in relation to mathematics subject competencies. Fifth, it was found that there is also difficulty in understanding the major changes of the achievement standards, including the addition, deletion, and adjustment of the achievement standards, and the impact on the learning of other achievement standards. Finally, the responses of elementary school teachers to the expected difficulties and necessary support in applying the 2022 revised mathematics curriculum did not differ depending on the size of the school where it is located, but statistically significant differences were found in a number of items depending on the teaching experience of the teacher. Based on these research results, we hope that various support will be provided for the 2022 revised mathematics curriculum, which will be applied annually from 2024.

• 산림경영
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• s.149
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• pp.13-18
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• 2001

• 해운
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• no.1 s.12
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• pp.50-50
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• 2005

• 산림경영
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• s.150
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• pp.4-12
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• 2001

• Journal of KIISE:Computer Systems and Theory
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• v.30 no.10
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• pp.569-578
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• 2003

Data dependencies are one of major hurdles to limit ILP(Instruction Level Parallelism), so several related works have suggested that the limit imposed by data dependencies can be overcome to some extent with use of the data value prediction. Hybrid value predictor can obtain the high prediction accuracy using advantages of various predictors, but it has a defect that same instruction has overlapping entries in all predictor. In this paper, we propose a new hybrid value predictor which achieves high performance by using the information of static and dynamic classification. The proposed predictor can enhance the prediction accuracy and efficiently decrease the prediction table size of predictor, because it allocates each instruction into single best-suited predictor during the fetch stage by using the information of static classification. Also, it can enhance the prediction accuracy because it selects a best- suited prediction method for the “Unknown”pattern instructions by using the dynamic classification mechanism. Simulation results based on the SimpleScalar/PISA tool set and the SPECint95 benchmarks show the average correct prediction rate of 85.1% by using the static classification mechanism. Also, we achieve the average correction prediction rate of 87.6% by using static and dynamic classification mechanism.

• Geophysics and Geophysical Exploration
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• v.22 no.3
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• pp.116-131
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• 2019

In order to obtain high-quality high-resolution marine seismic data, the survey needs to be carried out at very low-sea condition. However, the survey is often performed with a slight wave, which degrades the quality of data. In this case, it is possible to improve the quality of seismic data by detecting the exact location of the sea bottom signal and eliminating the influence of waves or swells automatically during data processing. However, if noise is included or the sea bottom signal is weakened due to sea waves, sea bottom detection errors are likely to occur. In this study, we applied a method reducing such errors by estimating the sea bottom location, setting a narrow detection range and detecting the sea bottom location within this range. The expected location of the sea bottom was calculated using previously detected sea bottom locations for each channel of multi-channel data. The expected location calculated in each channel is also compared and verified with expected locations of other channels in a shot gather. As a result of applying this method to the noisy 8-channel high-resolution air-gun seismic data acquired off Yeosu, the errors in selecting the strong noise before sea bottom or the strong subsurface reflected signal after the sea bottom signal are remarkably reduced and it is possible to produce the high-quality seismic section with the correction of ~ 2.5 m swell effect.

• The Journal of the Korea Contents Association
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• v.22 no.1
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• pp.493-504
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• 2022

The purpose of this study is to examine the effects of the mindfulness based art therapy on clinical nurses' job stress, self-efficacy, satisfaction with life, and life satisfaction expectancy. 26 clinical nurses were selected and 13 were randomly assigned to an experimental group and the other 13 were to a control one. The art therapy was conducted to the experimental group for about 90 minutes a session every week, for a total of 12 sessions. Both groups were measured with pre- and post-tests of job stress, mindfulness, self-efficacy, satisfaction with life, and life satisfaction expectation scales. The results demonstrated that the experimental group were lower in job stress, and higher in mindfulness, self-efficacy, satisfaction with life, and life satisfaction expectation than the control one significantly. Moreover, the experimental group showed that significant positive changes in every post measure. In sum, the effects of the mindfulness based art therapy on the clinical nurses' job stress, mindfulness, self-efficacy, satisfaction with life, and life satisfaction expectancy were proved. Lastly, some limitations of the study were discussed.

• The Optical Journal
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• s.113
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• pp.29-33
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• 2008

산업연구원에서 발표한 '2008년 경제 및 신업전망'에 따르면 경제성장은 소비를 주축으로 한 내수 상승세가 이어지면서 금년보다 다소높은 5% 내외의 성장이 전망된다. 수출은 주요 수출시장인 개도권 경기의 호조로 약 11%의 두 자릿수 증가율이 예상되고, 연간 무역수지는 2007년에 비해 소폭 줄어든 140억 달러 정도로 전망된다. 2008년 산업분야에서는 IT가 제조업내수를 주도하며 23.3%의 매우 높은 증가율이 예상된다. 10대 주력산업의 수출은 IT산업군과 기계산업군의 고부가가치 제품 위주의 수출 증가율에 힘입어 12.6%의 높은 증가세를 유지할 것으로 전망되며, 수입증가율도 내수의 견실한 증가, 수출 호조에 따른 중간재 수입 증가, 해외 생산분의 역수입 증가 등으로 전년대비 12.3% 증가할 것으로 전망된다.

• Cement
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• s.198
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• pp.150-155
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• 2013

2013년 일본의 시멘트 내수는 공공부문에서의 수요 감소에도 불구하고 민간수요의 증가로 전년대비 1.2% 증가한 4,517만톤을 기록할 것으로 예상된다. 수출의 경우 내수의 증가로 수출여력이 감소해 전년대비 1.0% 감소한 941만톤을 기록할 전망이다. 2013년 시멘트 생산은 전년대비 1.2% 증가한 5,987만톤을 기록하며 3년 연속 증가할 것으로 보이지만 증가율은 다소 둔화할 것으로 예상된다. 여기서는 일본의 미즈호종합연구소가 내놓은 '2013년도 일본 산업동향(시멘트)' 보고서를 통해 일본 시멘트산업의 수급동향 및 향후 전망에 대해 살펴본다.