• Bulletin of the Korean Chemical Society
• /
• 제29권9호
• /
• pp.1685-1688
• /
• 2008

• Bulletin of the Korean Chemical Society
• /
• 제29권8호
• /
• pp.1449-1450
• /
• 2008

• Journal of the Korean Data and Information Science Society
• /
• 제17권4호
• /
• pp.1201-1208
• /
• 2006

Data fusion is generally defined as the use of techniques that combine data from multiple sources and gather that information in order to achieve inferences. Data fusion is also called data combination or data matching. Data fusion is divided in five branch types which are exact matching, judgemental matching, probability matching, statistical matching, and data linking. Currently, Gyeongnam province is executing the social survey every year with the provincials. But, they have the limit of the analysis as execute the different survey to 3 year cycles. In this paper, we study to data fusion of environmental survey data using sas macro. We can use data fusion outputs in environmental preservation and environmental improvement.

• Journal of the Korean Data and Information Science Society
• /
• 제18권2호
• /
• pp.279-287
• /
• 2007

Data fusion is the process of combining multiple data in order to produce information of tactical value to the user. Data fusion is generally defined as the use of techniques that combine data from multiple sources and gather that information in order to achieve inferences. Data fusion is also called data combination or data matching. Data fusion is divided in five branch types which are exact matching, judgemental matching, probability matching, statistical matching, and data linking. In this paper, we develop was macro program for statistical matching which is one of five branch types for data fusion. And then we apply data fusion and association rule techniques to environmental data.

• 한국군사과학기술학회지
• /
• 제15권5호
• /
• pp.676-686
• /
• 2012

This paper presents a sensor bias estimation method with serial fusion for asynchronous multisensory systems. Serial fusion processes the sensor measurements in a first-come-first-serve basis and it plays an essential role in asynchronous fusion in practice. The proposed algorithm generates the bias measurements using fusion estimates and sensor measurements for bias estimation, and compensates the sensor biases in fusion tracks. A simulation study indicates that the proposed algorithm has the superior performance in bias estimation and accurate tracking.

• Bulletin of the Korean Chemical Society
• /
• 제31권2호
• /
• pp.503-506
• /
• 2010

• 미생물학회지
• /
• 제31권3호
• /
• pp.218-223
• /
• 1993

Conditions for the release and regeneration of protoplasts form Rhizopus oryzae and intergeneric protoplast fusion between Rhizopus oryzae and Aspergillus oryzae were studied. High yields of protoplast fusion between Rhizopus oryzae and Aspergillus oxyzae were studied. High yield of protoplasts from young germilings of R. oryzae were obtained by using lytic enzymes containing chitosanase (3 mg/ml), chitinase (3 mg/ml) and Novozym 234 (5 mg/ml). 0.5M glucose was used as the osmotic stabilizer and optimum pH of buffer was determined to be pH 7.5-8.0. Under these conditions, protoplasts were formed after about 3-4 hrs incubation. Approximately, 1.0%-4.9% of these protoplasts were formed after about 3-4 hrs incubation. Approximately, 1.0%-4.9% of these protoplasts regenerated on solid medium with a soft agar overlay. We have also carried out protoplasts fusion between R. oryzae and A. oryzae and have succeeded in obtaining three types of intergeneric fusants. In these experiments, 35% PEG-4000 and 10 mM CaCl$_{2}$ were used as fsogenic agents, and auxotrophic properties were used as a genetic marker to select fusants. Complementation frequency be protoplasts fusion of A. oxyzae and R. oryzae was 4.4% * 10$^{-5}$ . The fusant strains of the first type were prototrophs showing an Aspergillus type morphology with dark-yellow sporulation, those of the second type were also Apergillus type morphology but showed no sporulation. And the strains of the third type stopped growing when fusion products grown on regeneration minimal medium were transferred to fresh minimal medium. The formation of fusion products was observed by fluorescent vital stains for complementary labelling of protoplats from R. oryzae and A. oryzae. Rhodamine 6G and fluorescein diacetate wer useful complementary vital stains of Rhizopus and Aspergillus protoplasts for visualization of requency and type (dicell, multicell) of fusion.

• 응용통계연구
• /
• 제24권4호
• /
• pp.695-708
• /
• 2011

영상융합이란 두 개 이상의 영상을 하나의 영상으로 결합하는 기술로 원격탐사, 컴퓨터 비전, 로보틱스, 의료영상 그리고 군사분야 등 여러 분야에서 활용되고 있다. 지금까지 웨이블렛 변환을 이용한 영상 융합규칙들은 웨이블렛 분해 후 얻어진 각 영역에서 평균 혹은 분산과 같은 액티비티(activity) 측도를 단순 수치 비교를 통하여 영상융합의 픽셀을 선택하였다. 이 경우 특징을 갖고 있는 영상이 융합과정에서 배제될 수 있고 또한 잡음의 영향으로 왜곡된 융합영상을 얻을 가능성이 높다. 본 논문에서는 웨이블렛 변환 하에 분산에 대한 통계적 검정인 제곱 순위 검정을 사용하여 통계적으로 유의하다고 판단되는 영역만을 융합 영상의 대체 영역으로 선택하였다. 영상 실험 결과 제안된 방법은 가시적인 평가에서 뿐 만 아니라 정량적인 평가에서도 입력 영상의 종류와 관계없이 기존의 방법들 보다 뛰어난 결과를 보여주었다.

• Journal of Information Processing Systems
• /
• 제11권3호
• /
• pp.421-437
• /
• 2015

This paper aims to present a supervised classification algorithm based on data fusion for the segmentation of the textured images. The feature extraction method we used is based on discrete wavelet transform (DWT). In the segmentation stage, the estimated feature vector of each pixel is sent to the support vector machine (SVM) classifier for initial labeling. To obtain a more accurate segmentation result, two strategies based on information fusion were used. We first integrated decision-level fusion strategies by combining decisions made by the SVM classifier within a sliding window. In the second strategy, the fuzzy set theory and rules based on probability theory were used to combine the scores obtained by SVM over a sliding window. Finally, the performance of the proposed segmentation algorithm was demonstrated on a variety of synthetic and real images and showed that the proposed data fusion method improved the classification accuracy compared to applying a SVM classifier. The results revealed that the overall accuracies of SVM classification of textured images is 88%, while our fusion methodology obtained an accuracy of up to 96%, depending on the size of the data base.

• 한국군사과학기술학회지
• /
• 제10권3호
• /
• pp.34-42
• /
• 2007

It is very important for the combat system to process extensive data exactly at short time for the better situation awareness compared with the threats in these days. This paper suggests to add radial velocity on the decision factor of sensor data fusion in the existing algorithm for the accuracy enhancement of the sensor data fusion in the combat system.