• 대한원격탐사학회:학술대회논문집
• /
• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
• /
• pp.709-711
• /
• 2003

The purpose of this study is to detect the damaged red pine trees by pine wilt disease using high resolution satellite image of IKONOS Geo. IKONOS images are segmented with eCognition image processing software. A segment based maximum likelihood classification was performed to delineate the pine stand. The pine stands are regarded as a potential damage area. In order to develop a methodology to detect the location of damaged trees from the high resolution satellite image, black and white aerial photographs were used as a simulated image. The developed method based on filtering technique. A local maximum filter was adapted to detect the location of individual tree. This report presents a part of the first year results of an ongoing project.

• Mass Spectrometry Letters
• /
• 제9권4호
• /
• pp.110-114
• /
• 2018

Since accumulation of chemicals in deciduous teeth can occur from the second trimester of fetal development to shedding, a deciduous tooth has been considered as an attractive biomatrix for estimating individual chemical exposures recently. Therefore, detection of organic chemicals from teeth has received an increasing attention in exposomics research. Most previous studies on organic chemical analysis of teeth not only focused on a few targeted chemicals but also ignored potential contaminants from an enamel surface or a dental pulp. Recently, our group started developing a multi-class organic analysis method for deciduous teeth and tried to find a proper incubation condition of tooth materials. Our results showed that incubation with methanolic HCl provided the best performance among tested.

• 국제학술발표논문집
• /
• The 3th International Conference on Construction Engineering and Project Management
• /
• pp.1278-1282
• /
• 2009

In apartment type of housing, if resident's vehicle is registered in central control office and RFID TAG is issued, identification can be recognized from the time of entrance into parking lot and intelligent parking guide system can be activated based on the residents' profile. Parking Guide System leads a vehicle to the available parking space which is closest to the entrance gate of the vehicle's owner. And when residents forget where they parked their cars, they can query to the Parking Guide and Management System and get responses about the location. For the correct operation of this system, it is necessary to find out where the residents' cars have parked in real time and which lot is available for parking of other cars. RFID is very fancy solution for this system. RFID reader gathers the ID information in RFID TAGs in parked cars and updates the DB up to date. But, when non-residents' cars are parked inside apartment, RFID reader cannot identify them nor know the exact empty/occupied status of parking spaces because they don't react to RFID reader's query. So for the exact detection of empty/occupied status, we suggest the combined use of ultrasonic sensors and RFID. We designed a tree topology with intermediate data aggregators. The depth of tree is normally more than 3 from root (central office) to leaves (individual parking lots). The depth of 2 in tree topology brings about the bottleneck in communication and maintenance. We also designed the information fields used in RFID networks and Sensor Networks.

• International Journal of Fluid Machinery and Systems
• /
• 제8권4호
• /
• pp.264-273
• /
• 2015

This presentation describes an experimental approach for the detection of cavitation in hydraulic machines by use of ultrasonic signal analysis. Instead of using the high frequency pulses (typically 1MHz) only for transit time measurement different other signal characteristics are extracted from the individual signals and its correlation function with reference signals in order to gain knowledge of the water conditions. As the pulse repetition rate is high (typically 100Hz), statistical parameters can be extracted of the signals. The idea is to find patterns in the parameters by a classifier that can distinguish between the different water states. This classification scheme has been applied to different cavitation sections: a sphere in a water flow in circular tube at the HSLU in Lucerne, a NACA profile in a cavitation tunnel and two Francis model test turbines all at LMH in Lausanne. From the signal raw data several statistical parameters in the time and frequency domain as well as from the correlation function with reference signals have been determined. As classifiers two methods were used: neural feed forward networks and decision trees. For both classification methods realizations with lowest complexity as possible are of special interest. It is shown that two to three signal characteristics, two from the signal itself and one from the correlation function are in many cases sufficient for the detection capability. The final goal is to combine these results with operating point, vibration, acoustic emission and dynamic pressure information such that a distinction between dangerous and not dangerous cavitation is possible.

• 응용통계연구
• /
• 제29권4호
• /
• pp.699-706
• /
• 2016

검정절차가 생략된 이상치 탐지법은 구조적으로 수렁효과나 가면효과에 취약하기 때문에 다수의 이상치를 제대로 탐지하지 못할 때가 있다. 본 연구에서는 군집화에 의하여 구분된 소수 관찰치군을 이상치로 판정하는 방법에 보완될 검정절차를 다룬다. 이에 관련된 일반적인 방법은 탐지된 이상치 후보군의 개별적인 관찰치에 대해 다양한 종류의 t-검정을 수행하는 것이다. 본 연구에서는 이상치 후보군에 대한 검정을 수행하고 군집나무의 절단기준을 변경시켜 새로운 이상치군을 탐색해 나가는 순차적인 방법을 제안한다. 예제와 모의실험을 통해 제시된 방법과 기존의 방법들을 비교한다.

• 지능정보연구
• /
• 제6권1호
• /
• pp.73-82
• /
• 2000

This study examined the characteristicso f the knowledge discovery and data mining algorithms to demonstrate how they can be used to predict health outcomes and provide policy information for hypertension management using the Korea Medical Insurance Corporation database. Specifically this study validated the predictive power of data mining algorithms by comparing the performance of logistic regression and two decision tree algorithms CHAID (Chi-squared Automatic Interaction Detection) and C5.0 (a variant of C4.5) since logistic regression has assumed a major position in the healthcare field as a method for predicting or classifying health outcomes based on the specific characteristics of each individual case. This comparison was performed using the test set of 4,588 beneficiaries and the training set of 13,689 beneficiaries that were used to develop the models. On the contrary to the previous study CHAID algorithm performed better than logistic regression in predicting hypertension but C5.0 had the lowest predictive power. In addition CHAID algorithm and association rule also provided the segment characteristics for the risk factors that may be used in developing hypertension management programs. This showed that data mining approach can be a useful analytic tool for predicting and classifying health outcomes data.

• 대한원격탐사학회지
• /
• 제26권1호
• /
• pp.9-20
• /
• 2010

지형지물의 표면정보를 신속하게 취득할 수 있는 LIDAR 시스템은 대상에 대한 정교한 3차원 자동 모델링에 효율적이다. 본 연구의 목표는 대상물의 표면에 부딪혀 되돌아오는 레이저빔의 반사파형(waveform)을 모의 생성하는 것이다. 이를 위해, LIDAR시스템을 구성하는 센서들과 객체의 기하모델링 및 복사 모델링을 수행하였다. 먼저, 다반사 특성의 원인이 되는 레이저빔의 확산(divergence) 효과를 고려하기 위해 레이저빔을 여러 개의 서브빔으로 분할한 후, 각 서브빔의 원점과 방향을 결정한다. 그리고 서브빔이 교차하는 객체의 표면을 탐색한 후, 교차점의 위치를 계산한다. 마지막으로 서브빔의 원점과 소요시간을 기반으로 반사파형을 생성하고 이를 조합하여 전체 레이저빔의 반사파형을 생성한다. 제안한 방법을 적용한 실험을 수행하였으며, 그 결과 빔이 교차하는 표면의 특성을 보여주는 반사파형이 합리적으로 생성됨을 확인할 수 있었다.

• 한국환경복원기술학회지
• /
• 제22권6호
• /
• pp.1-14
• /
• 2019

Carbon storage is one of the regulating ecosystem services provided by urban street trees. It is important that evaluating the economic value of ecosystem services accurately. The carbon storage of street trees was calculated by measuring the morphological parameter on the field. As the method is labor-intensive and time-consuming for the macro-scale research, remote sensing has been more widely used. The airborne Light Detection And Ranging (LiDAR) is used in obtaining the point clouds data of a densely planted area and extracting individual trees for the carbon storage estimation. However, the LiDAR has limitations such as high cost and complicated operations. In addition, trees change over time they need to be frequently. Therefore, Structure from Motion (SfM) photogrammetry with unmanned Aerial Vehicle (UAV) is a more suitable method for obtaining point clouds data. In this paper, a UAV loaded with a digital camera was employed to take oblique aerial images for generating point cloud of street trees. We extracted the diameter of breast height (DBH) from generated point cloud data to calculate the carbon storage. We compared DBH calculated from UAV data and measured data from the field in the selected area. The calculated DBH was used to estimate the carbon storage of street trees in the study area using a regression model. The results demonstrate the feasibility and effectiveness of applying UAV imagery and SfM technique to the carbon storage estimation of street trees. The technique can contribute to efficiently building inventories of the carbon storage of street trees in urban areas.

• Asian-Australasian Journal of Animal Sciences
• /
• 제33권6호
• /
• pp.888-901
• /
• 2020

Objective: A set of microsatellite markers with high polymorphism from Tsaiya duck were used for the genetic monitoring and genetic structure analysis of Brown and White Tsaiya duck populations in Taiwan. Methods: The synthetic short tandem repeated probes were used to isolate new microsatellite markers from the genomic DNA of Tsaiya ducks. Eight populations, a total of 566 samples, sourced from Ilan Branch, Livestock Research Institute were genotyped through novel and known markers. The population genetic variables were calculated using optional programs in order to describe and monitor the genetic variability and the genetic structures of these Tsaiya duck populations. Results: In total 24 primer pairs, including 17 novel microsatellite loci from this study and seven previously known loci, were constructed for the detection of genetic variations in duck populations. The average values for the allele number, the effective number of alleles, the observed heterozygosity, the expected heterozygosity, and the polymorphism information content were 11.29, 5.370, 0.591, 0.746, and 0.708, respectively. The results of analysis of molecular variance and principal component analysis indicated a contracting Brown Tsaiya duck cluster and a spreading White Tsaiya duck cluster. The Brown Tsaiya ducks and the White Tsaiya ducks with Pekin ducks were just split to six clusters and three clusters when K was set equal to 6 and 3 in the Bayesian cluster analysis. The individual phylogenetic tree revealed eight taxa, and each individual was assigned to its own population. Conclusion: According to our study, the 24 novel microsatellite markers exhibited a high capacity to analyze relationships of inter- and intra-population in those populations with a relatively limited degree of genetic diversity. We suggest that duck farms in Taiwan could use the new (novel) microsatellite set to monitor the genetic characteristics and structures of their Tsaiya duck populations at various intervals in order to ensure quality breeding and conservation strategies.

• 농약과학회지
• /
• 제13권3호
• /
• pp.190-196
• /
• 2009

소나무재선충 방제제로 등록되어 사용되고 있는 abamectin 1.8% 유제를 소나무와 잣나무에 나무주사 한 뒤 수체내에서 잔류량을 측정하였다. 소나무 수체 내에서 검출한계는 $0.05\;mg\;kg^{-1}$이었으며 회수율은 가지에서는 $0.5\;mg\;kg^{-1}$ 처리시 90.9%였으며 수간에서는 93.1%였다. 수고 15 m의 곰솔에서 나무주사 된 abamectin 1.8% 유제는 처리 150일 후 소나무재선충의 매개충인 솔수염하늘소의 섭식 부분인 모든 가지부분에서 0.29-$0.73\;mg\;kg^{-1}$이 검출되었다. 평균 흥고직경 12.6 cm의 곰솔 천연림에서 abamectin 1.8% 유제의 수체 내 잔류량을 조사 한 결과 개체목별로 차이가 많았다. 곰솔의 수간부분에서는 하부와 중부에서는 abamectin 수간주사 후 시간의 경과에 따라 잔류량이 감소하는 경향을 보였으며 상부에서는 주사 30일 후에 $1.84\;mg\;kg^{-1}$이 검출되어 처리 15일 후의 $0.65\;mg\;kg^{-1}$보다 많았으며 100일과 180일 이후에는 검출한계 이하로 검출되었다. 가지부분에서는 하부에서는 처리 180일 후에 $0.183\;mg\;kg^{-1}$이 검출되었으며 중부에서는 $0.173\;mg\;kg^{-1}$이 검출되었다. 흉고직경 20 cm, 수고 9 m의 잣나무에서 가지부분의 abamectin 평균 검출량은 $0.80\;mg\;kg^{-1}$이었으며 수간에서는 $0.30\;mg\;kg^{-1}$이었고, 흉고직경 15 cm, 수고 6 m의 잣나무에서는 가지부분 $0.67\;mg\;kg^{-1}$이 검출되었고, 수간에서는 $0.36\;mg\;kg^{-1}$이 검출되었다.