• 정보처리학회논문지B
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• 제15B권6호
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• pp.533-542
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• 2008

동영상에서의 배경제거는 다양한 실시간 머신 비젼 응용에서 매우 중요한 단계이다. 본 논문에서는 이러한 배경제거를 위한 육각화소 기반의 새로운 접근 방법을 제안한다. 일반적으로 육각형 샘플링 영상은 양자화 오차가 적으며, 이웃화소의 연결성 정의를 크게 개선한다고 알려져 있는데, 제안된 방법은 비매개변수형 배경제거 방법의 하나인 지역적 이진패턴 기반 알고리즘에 이러한 육각 샘플링 영상을 적용하는 것을 특징으로 한다. 이를 통해, 지역적 이진패턴의 추출과정에서 필요한 쌍선형 보간을 없애고 계산량을 줄일 수 있었다. 실험을 통해 이러한 육각화소의 적용이 배경제거 분야에 매우 효율적으로 적용될 수 있음을 확인할 수 있었다.

• Journal of Electrical Engineering and Technology
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• 제8권4호
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• pp.872-878
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• 2013

In industrial control systems, flow measurement is a very important issue. It is frequently needed to calculate how much total fluid or gas flows through a cross-section. Flow volume measurement tools use simple sampling or rectangle methods. Actually, flow volume measurement process is an integration process. For this reason, measurement systems using instantaneous sampling technique cause considerably high errors. In order to make more accurate flow measurement, numerical integration methods should be used. Literally, for numerical integration method, Rectangular, Trapezoidal, Simpson, Romberg and Gaussian Quadrature methods are suggested. Among these methods, trapezoidal rule method is quite easy to calculate and is notably more accurate and contains no restrictive conditions. Therefore, it is especially convenient for the portable flow volume measurement systems. In this study, the volume measurement of air which is flowing through a cross-section is achieved by using PLC ladder diagram. The measurements are done using two different approaches. Trapezoidal rule method is proposed to measure the flow sensor signal to minimize measurement errors due to the classical sampling method as a different approach. It is concluded that the trapezoidal rule method is more effective than the classical sampling.

• 대한산업공학회지
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• 제40권4호
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• pp.404-414
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• 2014

Yield prediction is important to manage semiconductor quality. Many researches with machine learning algorithms such as SVM (support vector machine) are conducted to predict yield precisely. However, yield prediction using SVM is hard because extremely imbalanced and big data are generated by final test procedure in semiconductor manufacturing process. Using SVM algorithm with imbalanced data sometimes cause unnecessary support vectors from major class because of unselected support vectors from minor class. So, decision boundary at target class can be overwhelmed by effect of observations in major class. For this reason, we propose a under-sampling method with minor class based SVM (MCSVM) which overcomes the limitations of ordinary SVM algorithm. MCSVM constructs the model that fixes some of data from minor class as support vectors, and they can be good samples representing the nature of target class. Several experimental studies with using the data sets from UCI and real manufacturing process represent that our proposed method performs better than existing sampling methods.

• International Journal of Industrial Entomology and Biomaterials
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• 제8권1호
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• pp.17-26
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• 2004

Pest monitoring through field surveys and surveillance helps in forecasting the population build up of pest. It reduces the load of pesticides application and forms the basis of Integrated Pest Management in sericulture. Common sampling techniques for quantifying pest populations and damage caused by them are reviewed emphasizing the need for quick and simple sampling methods. Various direct and indirect sampling methods for establishing pest populations are discussed and methods have been discussed to use indirect sampling method under IPM programme in sericulture. The use of pheromone lures and traps forms one of the important ingredients of integrated pest management, which calls for integration of all available methods in a cost effective and environmental friendly manner offering consistent efficacy. Silk-worms feed on the variety of silk host plants and spin cocoons. Each silk host plant is attacked in the field by number of insect pest species. Several pests are common to mulberry, tasar, oak tasar, muga and eri host plant but pest status and seasonal abundance differs from each crop. The key pests are serious perennially occurring persistent species which cause considerable yield loss every year on large areas and require control measure. Regular occurrence of minor pest is noticed but sudden increase in its population is not known. The occasional pests are sporadic but potential causing sufficient damage. Silk losses due to attack of all the pests have not been calculated. However, information on pest biology and ecology, and control practices being practiced is available but the period of outbreak of major pests and predators on silkworms and its host plant needs to be reinvestigated. Pest and predators forecasting based on surveillance information may provide an opportunity to minimize the losses, particularly to reduce expenditure involved in pest management.

• 제어로봇시스템학회논문지
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• 제22권3호
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• pp.192-198
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• 2016

Motion planning problem is still one of the important issues in robotic applications. In many real-time motion planning problems, it is advisable to find a feasible solution quickly and improve the found solution toward the optimal one before the previously-arranged motion plan ends. For such reasons, sampling-based approaches are becoming popular for real-time application. Especially the use of a rapidly exploring random $tree^*$ ($RRT^*$) algorithm is attractive in real-time application, because it is possible to approach an optimal solution by iterating itself. This paper presents a modified version of informed $RRT^*$ which is an extended version of $RRT^*$ to increase the rate of convergence to optimal solution by improving the sampling method of $RRT^*$. In online motion planning, the robot plans a path while simultaneously moving along the planned path. Therefore, the part of the path near the robot is less likely to be sampled extensively. For a better solution in online motion planning, we modified the sampling method of informed $RRT^*$ by combining with the sampling method to improve the path nearby robot. With comparison among basic $RRT^*$, informed $RRT^*$ and the proposed $RRT^*$ in online motion planning, the proposed $RRT^*$ showed the best result by representing the closest solution to optimum.

• Journal of the Korean Data and Information Science Society
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• 제23권4호
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• pp.677-682
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• 2012

여러 분야에서 자료를 수집하기 위하여 모집단에서 표본을 추출하는 표본설계를 하고 있다. 특히 실험군과 대조군이 존재하는 임상자료에서는 모집단에서 집단별 일반적 변수들의 특성이 표본에 잘 반영되어야 하므로 더욱더 표본설계가 중요한 문제이다. 즉 모집단에서 집단별로 일반적 변수들이 가지는 빈도, 중심척도 그리고 산포척도 등이 표본에서도 동일하게 나타나야 한다. 그러나 주로 이루어지는 표본설계는 매우 복잡하고 어려워 일반 연구자가 사용하는데 있어 어려움을 겪는다. 따라서 본 논문에서는 시뮬레이션을 이용하여 집단별로 일반적 특성을 유지할 수 있는 임상자료의 샘플링 방법을 연구하였다. 또한 중환자실에 있는 환자자료에 적용하여 모집단과 표본의 일반적 변수의 특성값을 계산하여 보았고 통계적 가설검정을 이용하여 모집단과 표본집단에서 일반적 변수들의 값의 차이 여부를 비교하여 보았다.

• Journal of Ecology and Environment
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• 제47권4호
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• pp.250-260
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• 2023

Background: Crabgrass (Digitaria ciliaris, Poaceae) is a globally distributed weed, including in Afro-Eurasia, America, and Australia. As a highly gregarious plant, crabgrass is an important habitat for a diverse array of insects, and a potential habitat for agricultural pests. To compare the insect communities associated with the crabgrass community, insects were sampled using sweep sampling (100 sweeps per sample) at five sites, including Daejeon (Daejeon and Gap rivers), Anseong, Namhae, and Inje, with a focus on the Daejeon River. Results: A total of 5,888 individual insects belonging to eight orders, 42 families, and 115 species were collected from the five sites. Both the number of species and individuals of Hemiptera were the highest at all of the sites. In the present study, 73% of the insect population fed on D. ciliaris as a host plant. The dominant species in the D. ciliaris community was Laodelphax striatellus (Delphacidae), being ubiquitous at all the sites which showed a high abundance of rice pests in the communities and the suitability of D. ciliaris as an alternative host plant for them. The Shannon-Wiener diversity index was highest in Inje on 17 September (2.88), and the Chao1-bc diversity index was highest in the Gap River on 5 September (80). The sampling efficiency of 100 sweep samples (sample coverage) was calculated to be as high as 90%. The results of the samples taken from September to November in the Daejeon River showed that the number of species and individuals decreased gradually over time, and the number of dominant species decreased sharply between September and October. Similarity analysis indicated that sampling dates that were closer together yielded sampled assemblages with higher faunal similarity. In addition, in each sampling, the difference in the minimum temperature during the two-week period prior to sampling and faunal similarities were negatively correlated. Conclusions: This study provides foundational data that could enhance our understanding of insect diversity in D. ciliaris. The data can facilitate ecological conservation and management of Korean grasslands generally, as well as identification of potential pests that may disperse from D. ciliaris communities to nearby farmland.

• 방송공학회논문지
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• 제21권5호
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• pp.803-815
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• 2016

이 논문에서는 GNSS(global navigation satellite system) 신호를 RF(radio frequency) 대역에서 표본화하여 디지털 영역에서 복조하는 직접 RF 표본화 수신기를 설계하고 그 성능을 살펴보고자 한다. 직접 RF 표본화 방식은 IF(intermediate frequency) 대역에서 AD(analog to digital) 변환을 하고 복조하는 기존의 IF 변환 방식과 다르게, 아날로그 믹서(mixer)를 전혀 사용하지 않고 안테나 출력인 통과대역 신호를 직접 AD 변환하여 이후의 수신기의 모든 과정을 디지털 영역에서 처리하는 기술이다. IF 변환 방식과 비교하면 하드웨어 구조가 덜 복잡하고 전송환경 변화에 따른 재구성이 가능하며 하나의 AD 변환기를 사용하여 여러 대역의 신호를 동시에 변환할 수 있다는 장점이 있다. 이와 같은 재구성 기능과 동시 수신 기능은 특정 대역의 신호가 적으로부터 전파방해를 받았을 때 후속시스템으로의 빠른 전환이 필요한 군용 시스템에서 매우 중요한 역할을 한다. 한편 여러 대역의 신호를 한 번에 AD 변환하려면 수신하고자 하는 신호의 반송파 주파수, 대역폭, 표본화 후의 중간주파수 그리고 보호 대역 등을 고려하여 표본화 주파수를 정하는 것이 중요하다. 이 논문에서는 GPS L1, GLONASS G1 및 G2 등의 GNSS 신호를 동시에 수신할 수 있는 표본화 주파수를 선택하고 이를 적용한 직접 RF 표본화 수신기를 설계한다. 또한 설계한 수신기를 상용 AD 변환기와 소프트웨어를 사용하여 구현한 후 실제 신호의 수신시험을 통해 수신 성능을 살펴본다.

• 대한환경공학회지
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• 제37권1호
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• pp.45-51
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• 2015

폴리브롬화 디페닐에테르는 강한 소수성과 큰 분자량을 지닌 물질로 수체에 쉽게 용존되지 않으며, 이로 인해 다른 환경매체에 비해 수환경에 대한 연구는 많지 않다. 그러나 하 폐수처리장으로부터 수환경으로의 질량부하, 침적토에서의 재부유 현상 그리고 부유 입자 및 콜로이드로부터의 분배현상은 무시할 수 없는 영향을 미칠 것이다. 따라서 수환경 중 폴리브롬화 디페닐에테르를 조사하는 것은 중요하면서도 어려운 작업이다. 최근에 수환경에서 소수성물질을 모니터링 할 때의 어려움을 극복하기 위한 방안으로 반투과성막장비와 같은 수동적 시료채취 기법이 사용되고 있다. 수동적 시료채취를 사용하면 시료채취 기간 동안 주변환경인자의 변동을 조절하며 미량으로 존재하는 폴리브롬화 디페닐에테르를 검출하고 장기간에 거쳐 재현성 있는 모니터링 결과를 얻을 수 있다. 따라서 본 연구에서는 반투과성막장비(SPMD)를 수질 모니터링 장비로서 활용하는 가능성을 확인하고자 하였다. 강둑에서 그랩, 혼합 시료채취법과 SPMD를 적용하여 다양한 수질시료 채취기법에 따른 시간적 변동과 농도 차이를 확인하고 SPMD를 사용하여 폴리브롬화 디페닐에테르의 수환경 중 농도를 예측할 수 있는지 평가하였다.

• 농업과학연구
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• 제41권4호
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• pp.399-404
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• 2014

Soil moisture is an important factor for the availability and circulation of nutrients in arable soil. The purpose of this study was to set thresholds moisture content on soil nitrate concentration in the solution for real-time diagnosis. Sandy loam, silt loam, and sandy loam was filled with $1.2g\;cm^{-3}$ at Wagner pots, 0, 100, and $200mg\;L^{-1}$ of $KNO_3$ was saturated. Nitrate in standard solution was recovered about 95% by passing the porous cup. Nitrate concentrations in sampling of soil solution were examined by using a porous cup. The soil solution was higher in accordance with sandy loam> silt loam> clay loam, limited water filled pore space for sampling soil solution was 33.7, 56.4, and 62.2%, respectively. Nitrate concentration in the soil solution was negligible at sandy loam and silt loam during sampling periods, which was decreased about 50~82% in clay loam compared to the initial $NO_3$-N concentration in the saturated $KNO_3$ solution. Over limitation of soil solution sampling, soil EC and $NO_3$-N content were increased with the saturated $NO_3$-N concentration, regardless of soil texture (p<0.05). Conclusively, soil solution by using a porous cup was possible, regardless of the soil texture, which was useful for the diagnosis in nitrate concentration of soil solution. However, because nitrate concentration of soil solution in a clay loam changes, it was necessary for careful attention in order to take advantage for the real-time diagnosis of nitrogen management in soil.