• Proceedings of the KSRS Conference
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• 1999.11a
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• pp.433-438
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• 1999

The land use type of Korea is high-density. So, the image classification using coarse resolution satellite image may not provide land cover classification results as good as expected. The purpose of this paper is to compare the result of visual interpretation with that of digital image classification of 20 m resolution SPOT satellite image at Kwangju-eup, Kyunggi-do, Korea. Classes are forest, cultivated field, pasture, water and residential area, which are clearly discriminated in visual interpretation. Maximum likelihood classifier was used for digital image classification. Accuracy assessment was done by comparing each classification result with ground truth data obtained from field checking. The classification result from the visual interpretation presented an total accuracy 9.23 percent higher than that of the digital image classification. This proves the importance of visual interpretation for the area with high density land use like the study site in Korea.

• Journal of the Korean Society of Earth Science Education
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• v.8 no.1
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• pp.98-113
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• 2015

The purpose of this study was to explore how science docents developed their expertise in the context of situated learning where two experienced docents played roles of mentors. Two experienced docents as mentors and six participating docents as mentees interacted in the community to develop exhibition interpretation strategies to be more professional in interacting with visitors through the workshops developed by the researcher. To figure out how docents developed their expertise in exhibit interpretation, the researcher collected the data from docents through observation, artifacts, and interviews as well as surveys. The result of this study included that participating docents formed new perception about scientific inquiry as well as scientific literacy and they developed professional skills of planning, implementing, and reflecting of exhibition interpretation in the context of situated learning, where docents formed alliance one another. It is recognized that participating docents' passions to be professional in exhibition interpretation and two experienced docents' wills as mentors made dynamic interaction in pursuing the same aim of docents' expertise in exhibition interpretation.

• Korean Journal of Remote Sensing
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• v.18 no.3
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• pp.163-169
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• 2002

The land uses of Korean peninsula are very complicated and high-density. Therefore, the image classification using coarse resolution satellite images may not provide good results for the land cover classification. The purpose of this paper is to compare the classification accuracy of visual interpretation with that of digital image classification of satellite remote sensing data such as 20m SPOT and 30m TM. In this study, hybrid classification was used. Classification accuracy was assessed by comparing each classification result with reference data obtained from KOMPSAT-1 EOC imagery, air photos, and field surveys.

• Korean Journal of Logic
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• v.17 no.3
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• pp.461-484
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• 2014

This essay suggests a constructive interpretation of probabilities by diagnosing problems of the objective and the epistemic interpretations of probability. According to this interpretation, attributions of the mathematical structure of probability to a given system can be understood as positing constructive theoretical hypotheses showing the relationship among empirical data. The constructive interpretation is applied to comprehend probability claims in the explanation of temporal asymmetrical behaviour of our universe. A new approach interpreting probabilities as constructive theoretical terms enables us to circumvent shortcomings of both objective and subjective interpretation of probability, and appreciate why these interpretations nevertheless appear to be convincing in our case.

• Journal of Conservation Science
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• v.5 no.1 s.5
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• pp.105-111
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• 1996

In order to maintain and evaluate the adequate humidity and temperature of a museum, the data of these should be periodically monitored and accumulated. For this purpose, We have designed the interpretation method of charts of the widely used thermo hydrorecorder at the museum, and developed the computer-based program (name of the program : HATH interpretation program). This method is as follows;The recording of thermo hydrorecorder(model ; Sato R-704) Input a through scanner (UMAX type), and was transformed into numerical value and was processed the statistics by HATH interpretation program. Output can be present the numerical value and the graph which are classified by a day, a month, and a year. By this method, the humidity and temperature data which were taken from 12points in the exhibition case, storage and outdoor of the Ho-Am art Museum in 1995 were processed. At the results, its ability for fast processing, management and analysis of the data was proved to be excellent.

• Journal of The Korean Society of Inherited Metabolic disease
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• v.6 no.1
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• pp.40-51
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• 2006

Purpose: A personal computer-based system was developed for automated metabolic profiling of organic aciduria and aminoacidopathy by gas chromatography-mass spectrometry and data interpretation for the diagnosis of metabolic disorders Methods: For automatic data profiling and interpretation, we compiled retention time, two target ions and their intensity ratio for 77 organic acids and 13 amino acids metabolites. Metabolites above the cut-off values were flagged as abnormal compounds. The data interpretation was a based on combination of flagged metabolites. Diagnostic or index metabolites were categorized into three groups, "and", "or" and "NO" compiled for each disorder to improve the specificity of the diagnosis. Groups "and" and "or" comprised essential and optional compounds, respectively, to reach a specific diagnosis. Group "NO" comprised metabolites that must be absent to make a definite diagnosis. We tested this system by analyzing patients with confirmed Propionic aciduria and others. Results: In all cases, the diagnostic metabolites were identified and correct diagnosis was founded to be made among the possible disease suggested by the system. Conclusion: The study showed that the developed method could be the method of choices in rapid, sensitive and simultaneous screening for organic aciduria and amino acidopathy with this simplified automated system.

• Journal of the Korea Society of Computer and Information
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• v.5 no.4
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• pp.21-27
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• 2000

This paper is keeping with the general pattern of automatic acquisition and interpretation of geographical digital data. Maps of the Institut Geographique National of France are built up with four so-called "mother" maps represented by four colors. The green one deals with the vegetation. In a green layer, woods, bushes, vines. fields and boundaries of domanial forests or nature reserves are represented by different synthetic textures We present here an original method of texture analysis applied to the automatic interpretation of vegetation belts.

• Mass Spectrometry Letters
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• v.3 no.3
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• pp.63-67
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• 2012

The need of heavy and unconventional crude oil as an energy source is increasing day by day, so does the importance of petroleomics: the pursuit of detailed knowledge of heavy crude oil. Crude oil needs techniques with ultra-high resolving capabilities to resolve its complex characteristics. Therefore, ultra-high resolution mass spectrometry represented by Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS) has been successfully applied to the study of heavy and unconventional crude oils. The analysis of crude oil with high resolution mass spectrometry (FT-ICR MS) has pushed analysis to the limits of instrumental and methodological capabilities. Each high-resolution mass spectrum of crude oil may routinely contain over 50,000 peaks. To visualize and effectively study the large amount of data sets is not trivial. Therefore, data processing and visualization methods such as Kendrick mass defect and van Krevelen analyses and statistical analyses have played an important role. In this regard, it will not be an overstatement to say that the success of FT-ICR MS to the study of crude oil has been critically dependent on data processing methods. Therefore, this review offers introduction to peotroleomic data interpretation methods.

• Journal of the Korea institute for structural maintenance and inspection
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• v.11 no.3
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• pp.167-175
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• 2007

The relations between data from test methods and conditions in structural elements are considered. NDE(Nondestructive Evaluation) methods are joint application of a test and a basis for interpretation of data obtained in the test. Correct assessments of conditions of elements depend on the inaccuracy and variability in the test data and on the uncertainty of correlations between attributes(what is measured) and conditions(what is sought in the inspection). A full description of the performance of NDE methods considers the relation of test data to condition of elements. The quality of the test data itself is important, but equally important is the interpretation that occurs after the test. To make the decision of the performance of NDE methods, this paper presents mathematical basis to measure the reliability of NDE methods.

• Journal of the Korea institute for structural maintenance and inspection
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• v.13 no.5 s.57
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• pp.101-108
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• 2009

Mathematical basis of interpretation of data from nondestructive evaluation (NDE) methods in condition assessment of structures is presented. In structural inspection with NDE methods, NDE data are not directly used for the condition assessment. Instead, NDE data must be interpreted as condition of inspected element. Correct assessments of conditions depend on many factors such as the inaccuracy and the variability in NDE measurements and the uncertainty in correlation between attributes (what is measured) and conditions (what is sought in the inspection). A full description of the performance of NDE methods considers the relation of test data to conditions of elements. The quality of the test itself is important, but equally important is the interpretation that occurs after the test. The effects of variability in test data and uncertainty in correlations of attributes and conditions are presented in three examples of field testing methods.