• The Journal of Korean Institute of Communications and Information Sciences
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• v.40 no.12
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• pp.2443-2449
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• 2015

Downlink (DL) data rate for a MS is influenced by not only the signal to interference and noise ratio (SINR) but also the amount of radio resources allocated to the MS. Therefore, when a MS uses SINR to select a cell to associate with, it cannot receive the fastest DL data rate all the time if it associates with a congested cell. Moreover, the SINR-based cell selection may result in cell loads unbalance, which decreases the efficiency of a network. To address the issue, we propose a novel cell selection method by considering not only SINR but also a cell load which are combined into two cell selection criteria. One is the maximum achievable data rate and the other is the minimum outage probability. The simulation results show that the cell selection based on the maximum achievable data rate is superior to the SINR-based method and the method using the minimum outage probability in terms of the system efficiency and the fairness in cell loads while the cell selection method based on the minimum outage probability is superior to the others in terms of the outage probability of a MS.

• Proceedings of the Korean Information Science Society Conference
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• 2011.06c
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• pp.176-179
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• 2011

본 연구에서는 T-Test와 Genetic Algorithm을 사용해 Luminex 사용 환경에서 난소암을 진단할 수 있는 바이오마커의 조합을 찾고 Cancer와 Normal간의 분류 성능을 평가해 보았다. 바이오마커는 혈액, 체액 내의 특정 질환 여부나 상태를 나타내는 단백질, DNA들의 지표 물질이다. 정상인과는 다른 분포를 가진 성분이 환자의 혈액이나 체액에서 발견되면 이를 토대로 질병유무와 상태를 판단할 수 있다. 난소암을 진단할 수 있는 바이오마커 조합을 찾기 위해 T-Test와 Genetic Algorithm를 사용하여 분류성능이 좋은 바이오마커 조합을 각각 선별해 보았고, 선별된 각각의 마커조합을 선형분류기(LDA)를 사용해 평균 민감도, 특이도, 정확도를 비교해 보았다. 실험데이터는 두 곳의 병원에서 제공받은 총 58명(Cancer 27명, Normal 31명)의 혈청에서 21 종류의 바이오마커 데이터를 Luminex-PRA를 통해 얻었다. 본 연구에서는 T-Test로 만들어진 마커조합이 Genetic algorithm으로 만들어진 마커조합 보다 더 좋은 민감도, 특이도, 분류정확도를 보여주었다.

• Journal of the Institute of Convergence Signal Processing
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• v.17 no.1
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• pp.46-52
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• 2016

LTE-Advanced system consisting of the number of cells in the cellular environment because it is built to allow efficient use of limited frequency resources of adjacent cell interference avoidance should be considered. Transition services in accordance with the development of the mobile communication technology, wireless multimedia content from voice-centric mobile communications services and causing a lot of mobile data traffic, such as smart phones and tablet terminals spread of a data-driven surge in mobile data traffic base stations in urban areas by increasing became a reality that can not be prevented. In this paper, we propose a new Hybrid resource allocation technique for improving the performance of the cell boundary and analyzed the performance of the proposed new techniques to perform the simulation using LTE-Advanced system level simulator based on 19cell of cellular system model.

• Journal of the Korea Organic Resources Recycling Association
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• v.11 no.1
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• pp.92-96
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• 2003

The on-site sewage sludge vermicomposting equipment was designed and evaluated on the batch and continuous tests. The vermicomposting equipment was designed to consider the mechanization as well as automation. In terms of performance evaluation of equipment with continuous experiments, the highest treatment rate was found in the condition of 5mm in particle size and 10mm in e feeding height. Also, 20~25kg of earthworm per 50kg of sewage sludge was the most appropriate density of earthworm. In addition, the most effective separation of cast was found when the earthworm breeding box height was 80cm. The performance evaluation on equipment allowed the establishment of earthworm composting capacity of 2ton per a day with a size of $5{\times}3{\times}1m$ and the automatic control devices.

• Clean Technology
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• v.18 no.4
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• pp.410-418
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• 2012

The performance of the ammonia injection gun (AIG) used for maximizing the utilization of reducing agent in the selective catalytic reduction (SCR) system is decided by several parameters such as the pattern of flow distribution, geometry of the air distribution manifold (ADM) and the array and geometry of nozzles. In the study, the uniformity of jet flows from the nozzles in AIG was analyzed statistically by using the computational fluid dynamics (CFD) method to evaluate the role of design parameters on the performance of the SCR system. The uniformity of jet flows from the nozzles is being deteriorated with increasing the supplying flow rate to the AIG. Distribution rates to each branch pipe become lower with decreasing distance to the header, and flow rates from nozzle are also reduced with decreasing distance to the header. The uniformity of jet flows from nozzles becomes stable significantly when the ratio of summative area of nozzles to each sectional area of the branch pipe is below 0.5.

• Journal of Broadcast Engineering
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• v.26 no.2
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• pp.167-174
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• 2021

Recently, deep learning technology is widely used in various computer vision applications, such as object recognition, classification, and image generation. In particular, the deep learning-based super-resolution has been gaining significant performance improvement. Fast super-resolution convolutional neural network (FSRCNN) is a well-known model as a deep learning-based super-resolution algorithm that output image is generated by a deconvolutional layer. In this paper, we propose an FPGA-based convolutional neural networks accelerator that considers parallel computing efficiency. In addition, the proposed method proposes Optimal-FSRCNN, which is modified the structure of FSRCNN. The number of multipliers is compressed by 3.47 times compared to FSRCNN. Moreover, PSNR has similar performance to FSRCNN. We developed a real-time image processing technology that implements on FPGA.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.9
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• pp.1049-1059
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• 2019

We propose a learning-based image segmentation algorithm. Starting from super-pixels, our method learns the probability of merging two regions based on the ground truth made by humans. The learned information is used in determining whether the two regions should be merged or not in a segmentation stage. Unlike exiting learning-based algorithms, we use both local and object information. The local information represents features computed from super-pixels and the object information represent high level information available only in the learning process. The object information is considered as privileged information, and we can use a framework that utilize the privileged information such as SVM+. In experiments on the Berkeley Segmentation Dataset and Benchmark (BSDS 500) and PASCAL Visual Object Classes Challenge (VOC 2012) data set, out model exhibited the best performance with a relatively small training data set and also showed competitive results with a sufficiently large training data set.

• Korean Journal of Remote Sensing
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• v.38 no.6_2
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• pp.1677-1689
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• 2022

Air pollution is social issue that has long-term and short-term harmful effect on the health of animals, plants, and environments. Chimneys are the primary source of air pollutants that pollute the atmosphere, so their location and type must be detected and monitored. Power plants and industrial complexes where chimneys emit air pollutants, are much less accessible and have a large site, making direct monitoring cost-inefficient and time-inefficient. As a result, research on detecting chimneys using remote sensing data has recently been conducted. In this study, YOLOv5-based chimney detection model was generated using BUAA-FFPP60 open dataset create for power plants in Hebei Province, Tianjin, and Beijing, China. To improve the detection model's performance, data split and data augmentation techniques were used, and a training strategy was developed for optimal model generation. The model's performance was confirmed using various indicators such as precision and recall, and the model's performance was finally evaluated by comparing it to existing studies using the same dataset.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.25 no.7
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• pp.462-469
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• 2015

This study was carried out to examine characteristics of various acoustic indicators evaluating speech intelligibility such as reverberation time(T₃₀), D₅₀, C₅₀ and speech transmission index(STI) in Korean elementary school classrooms. Results showed that mean T₃₀ at middle frequencies(500 Hz to 2000 Hz) measured in 9 classrooms was about 0.75 s, which exceeds a regulation specified on American National Standards(ANSI); 0.60 s. Mean D₅₀, C₅₀ and STI were 60 % to 66 %, +2 dB to +3 dB, and 0.65, respectively. The maximum difference in D₅₀ and C₅₀ according to different receiver points in a classroom was 13 % and 2.5 dB, while the maximum difference in T₃₀ was 0.03 s. Whereas STI measured in classrooms has relatively low correlation with other indicators, correlation between D₅₀ and C₅₀ was high, R²=.9964. In addition, T₃₀ and C₅₀ were fitted well as logarithmic regression curve with R²=.9610. It was +3.73 dB in C₅₀ and 68 % in D₅₀ which are the value corresponding to 0.60 s in T₃₀ on this curve.

• Proceedings of the Korea Water Resources Association Conference
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• 2019.05a
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• pp.91-91
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• 2019

아열대 해양성 기후로 변화하고 있는 다우지역인 제주도는 각종개발 등 도시화로 인한 불투수층 증가가 급증하고 있으며 기후 변동에 의한 강우량은 더욱 늘어 홍수 피해가 빈번히 발생하고 있어 저영향개발기법(LID, Low Impact Development)을 통한 빗물을 지하로 침투시켜 지하수 보호 및 확보와 동시에 재해 저감을 할 수 있는 기술개발이 시급한 실정이다. 현재 설치된 재해저감방식 중 침투트렌치에 의한 침투방식은 제주도의 보전자원인 화산석인 현무암을 주 재료로 하고 있어 2차환경 파괴를 야기 시키고 있지만 암을 보전하고 대처할 수 있는 신재료와 신기술 관련 침투방식의 성능 극대화에 대한 연구가 미진하며, 지하수를 주 수원으로 하고 있는 제주도에서 초기 강우 배제 없이 침투시킬 경우 지하수 오염 가능성도 상존하고 있다. 본 연구는 지하수의 제주형 인공함양정과 재해영향평가 지침에서 제시한 암을 충진하는 정형화된 침투식 방법을 개선하여 초기 강우의 수질오염을 억제하면서 지하수 인공함양과 재해저감을 위해 침투와 저류를 동시에 할 수 있는 신기술을 상용화와 침투형 저류지의 설치 초기비용 및 유지비용을 절감하고 부지확보에 따른 사업자의 부담을 경감 할 수 있는 침투트렌치 형식의 침투저류시스템을 개발하여 실용화하는데 있다. 이에 따라 본 연구에서는 제주도인 경우 일시적 높은 첨두유량으로 인해 지표유실 및 침수범람이 빈번하게 발생하고 도시화에 따른 포장면적 증가로 지표수 유실이 증대 되는 점을 감안하여 이를 저감하기 위한 첨두유량의 해결방안으로 저류용 침투저류조 내 유입수의 신속한 침투기능과 지하수 함양 증대에 기여 등 제주형 집중호우 대비 침투저류조 설치에 따른 효과 및 적용 가능성을 조사하였다.