• International Journal of Computer Science & Network Security
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• 제22권9호
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• pp.403-413
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• 2022

Classification and analysis are improved factors for the realtime automation system. In the field of agriculture, the cultivation of different paddy crop depends on the atmosphere and the soil nature. We need to analyze the moisture level in the area to predict the type of paddy that can be cultivated. For this process, Ensemble Modulation Pattern system and Block Probability Neural Network based classification models are used to analyze the moisture and temperature of land area. The dataset consists of the collections of moisture and temperature at various data samples for a land. The Ensemble Modulation Pattern based feature analysis method, the extract of the moisture and temperature in various day patterns are analyzed and framed as the pattern for given dataset. Then from that, an improved neural network architecture based on the block probability analysis are used to classify the data pattern to predict the class of paddy crop according to the features of dataset. From that classification result, the measurement of data represents the type of paddy according to the weather condition and other features. This type of classification model assists where to plant the crop and also prevents the damage to crop due to the excess of water or excess of temperature. The result analysis presents the comparison result of proposed work with the other state-of-art methods of data classification.

• 감성과학
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• 제21권1호
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• pp.155-164
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• 2018

온도감은 촉각과 시각에 의해서 느낄 수 있는 감각이다. 하지만 온도감에 대한 개념을 시각적 온도감과 촉각적 온도감의 개념을 함께 활용되는 경우는 드물다. 이 연구에서는 촉각을 통해 느끼는 온도감과 시각을 통해 느끼는 온도감에 대해 색채와 재질 특성에 따른 시각적 온도감의 관계를 알아보았다. 색채와 재질의 특성을 포함할 수 있는 샘플로 원단을 선택하였다. 15-16가지 종류로 Y계열, R계열, B계열, G계열 총 61개의 샘플로 실험을 진행하였다. 분석 방법은 Yellow, Red, Blue, Green의 색을 떠올렸을 때 느끼는 색에 대한 온도감을 분석한 뒤 각 색상별로 원단의 촉각적 분류 및 시각적 분류에 따른 시각적 온도감에 대해 알아보았다. 그리고 무게, 두께, 요철에 따른 시각적 온도감의 상관관계를 알아보았다. 그 결과 동일한 원단에서는 색 온도감에 따라 Cool과 Warm으로 느끼는 원단의 수가 차이가 났다. 그렇지만 원단의 분류마다 시각적 온도감은 다르게 나타났다. 특히, 얇은, 비치는 원단과 무광택 원단에서 두드러지게 나타났다. 무게, 두께, 요철과 온도감의 관계에서는 무게와 관련을 보인 원단 분류는 딱딱한, 무광택 원단의 분류이며, 두께와 관련을 보인 원단 분류는 얇은, 비치는 원단이다.

• 대한원격탐사학회지
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• 제19권6호
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• pp.479-490
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• 2003

This study proposed a modified anisotropic diffusion restoration for image classification. The anisotropic diffusion restoration uses a probabilistic model based on Markov random field, which represents geographical connectedness existing in many remotely sensed images, and restores them through an iterative diffusion processing. In every iteration, the bonding-strength coefficient associated with the spatial connectedness is adaptively estimated as a function of brightness gradient. The gradient function involves a constant called "temperature", which determines the amount of discontinuity and is continuously decreased in the iterations. In this study, the proposed method has been extensively evaluated using simulated images that were generated from various patterns. These patterns represent the types of natural and artificial land-use. The simulated images were restored by the modified anisotropic diffusion technique, and then classified by a multistage hierarchical clustering classification. The classification results were compared to them of the non-restored simulation images. The restoration with an appropriate temperature considerably reduces error in classification, especially for noisy images. This study made experiments on the satellite images remotely sensed on the Korean peninsula. The experimental results show that the proposed approach is also very effective on image classification in remote sensing.

• 천문학회지
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• 제21권2호
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• pp.173-181
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• 1988

The usual method of classification for metal poor stars is based on the normal standard stars. In this study, we show that among the sample of stars classified by this method, a systematic bias in the observed classes of metal weakness is found and, also that this method is not appropriate for classification of metal poor stars, by showing that the spectral line dependences on the temperature and pressure in the extreme metal poor stars are different from those in the normal standard stars. Therefore, we suggest that the 3-dimensional classification system, like 2-dimensional MK system, is necessary for an accurate classification of metal poor stars.

• 통합자연과학논문집
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• 제17권1호
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• pp.1-12
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• 2024

Many abnormal climate events are occurring around the world. The cause of abnormal climate is related to temperature. Factors that affect temperature include excessive emissions of carbon and greenhouse gases from a global perspective, and air circulation from a local perspective. Due to the air circulation, many abnormal climate phenomena such as abnormally high temperature and abnormally low temperature are occurring in certain areas, which can cause very serious human damage. Therefore, the problem of abnormal temperature should not be approached only as a case of climate change, but should be studied as a new category of climate crisis. In this study, we proposed a model for the classification of abnormal temperature using random forests based on various meteorological data such as longitudinal observations, yellow dust, ultraviolet radiation from 2018 to 2022 for each region in Korea. Here, the meteorological data had an imbalance problem, so the imbalance problem was solved by oversampling. As a result, we found that the variables affecting abnormal temperature are different in different regions. In particular, the central and southern regions are influenced by high pressure (Mainland China, Siberian high pressure, and North Pacific high pressure) due to their regional characteristics, so pressure-related variables had a significant impact on the classification of abnormal temperature. This suggests that a regional approach can be taken to predict abnormal temperatures from the surrounding meteorological environment. In addition, in the event of an abnormal temperature, it seems that it is possible to take preventive measures in advance according to regional characteristics.

• 한국안전학회지
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• 제32권2호
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• pp.46-51
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• 2017

This paper presents classification of domestic fire detector using response time index. Response time is measured using fire detector distributed in Korea, and the response time index is estimated. Plunge test prescribed by FM is conducted to measure response time of fire detector. The detector used to test is fixed temperature type(thermistor and bimetal type) and rate of rise temperature type(thermistor and pneumatic type). The nominal operation temperature of fixed temperature type detector is $70^{\circ}C$ and rate of rise temperature is $15^{\circ}C/min$. The fixed temperature type is measured 7 products, and the rate of rise temperature type is measured 5 products. The results show that in case of fixed temperature type(thermistor) is classified "Quick" or "Standard" and fixed temperature type(bimetal) is not classified. The rate of rise temperature type(thermistor) is classified "Fast" or "Ultra Fast" and the rate of rise temperature type(pneumatic) is classified "Very Fast" or "Ultra Fast". The pneumatic type shows more fast response than thermistor type. Also these results indicate the fixed temperature type(bimetal) is not suitable for early stage fire detection.

• Biomolecules & Therapeutics
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• 제5권1호
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• pp.8-11
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• 1997

The odor theory (기미론) has been defined as the Nature (기) and the Taste(미) of traditional herbal medicine to find the logic in treatment of various diseases by them. There is a strong possibility these Na1ures of the drug can be categorized according to yin (음) and yang (음). There is a neutral Nature which does not fit into one of these four categories. To understand the Natures of traditional herbal drugs in modern scientific approaches, changes in rectal temperature of rats have been measured at 0,30, 60, 90 min after a 10 g/Kg oral administration each of 34 different drugs. Following the classification of the four Natures of drugs, only the temperatures of warm group at 30, 60, and 90 min were elevated significantly from the control and the rest groups. Following a modified classification of 3 groups such as cold and cool, warm and hot, and neutral Nature, changes in temperatures after administration of Hot and Warm drugs were also increased significantly from the control (P<0.01). Thus, the measurement of rectal temperature can be a tool to define the Nature (기) of traditional herbal drugs, but the modified classification is another way to do.

• 센서학회지
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• 제9권6호
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• pp.440-447
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• 2000

본 논문에서는 곡선근사법과 뉴로퍼지 시스템의 열전도도 추론을 이용하여 대기온도의 변화에 관계없이 재질의 온도응답을 분류하기 위한 시스템을 제안한다. 재질의 온도응답은 정상상태에 도달하는데 장시간이 소요되며, 과도상태에서는 잡음을 포함하고 있기 때문에 실용화하는데 문제점이 있다. 제안하는 방법은 온도응답곡선의 과도상태만을 곡선근사법에 의해 지수함수화함으로써 단시간에 계측이 가능하고 측정중의 잡음을 없앨 수 있다. 뉴로퍼지 추론을 이용하여 임의의 대기온도 하에서 재질의 열전도도를 추론함으로써 열전도 특성의 복잡한 성질을 수학적으로 해석해야하는 문제점을 극복하였다. 이를 위해 인간의 손가락과 유사한 구조의 재질 온도응답센서를 제작하고, 하드웨어를 구현하였으며, 곡선근사화와 뉴로퍼지 알고리즘에 의한 분류 소프트웨어를 개발하였다.

• Journal of Radiation Protection and Research
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• 제41권3호
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• pp.260-267
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• 2016

Background: This study analyzes the differences in the annual averaged atmospheric dispersion factor and ground deposition factor produced using two classification methods of atmospheric stability, which are based on a vertical temperature difference and the standard deviation of horizontal wind direction fluctuation. Materials and Methods: Daedeok and Wolsong nuclear sites were chosen for an assessment, and the meteorological data at 10 m were applied to the evaluation of atmospheric stability. The XOQDOQ software program was used to calculate atmospheric dispersion factors and ground deposition factors. The calculated distances were chosen at 400 m, 800 m, 1,200 m, 1,600 m, 2,400 m, and 3,200 m away from the radioactive material release points. Results and Discussion: All of the atmospheric dispersion factors generated using the atmospheric stability based on the vertical temperature difference were shown to be higher than those from the standard deviation of horizontal wind direction fluctuation. On the other hand, the ground deposition factors were shown to be same regardless of the classification method, as they were based on the graph obtained from empirical data presented in the Nuclear Regulatory Commission's Regulatory Guide 1.111, which is unrelated to the atmospheric stability for the ground level release. Conclusion: These results are based on the meteorological data collected over the course of one year at the specified sites; however, the classification method of atmospheric stability using the vertical temperature difference is expected to be more conservative.

• The Korean Journal of Ecology
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• 제19권5호
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• pp.403-416
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• 1996

Global natural vegetation mapping (GNVM) system was developed for estimating potential forest area of the globe. With input of monthly mean temperature and monthly precipitation observed at weather stations, the system spherically interpolates them into 1°×1°grid points on a blobe, converts them into vegetation types, and produces a potential vegetation map and a potenital vegetation area. The spherical interpolation was based on negative exponential function fed from the constant radius stations with oval weighing method which is latitudinally elongated weighing in temperature and longitudinally elongated weighing in precipitation. The temperature values were corrected for altitude by applying a linear lapse-rate (0.65℃ / 100m) with reference to a built-in digital terrain map of the globe. The vegetation classification was based upon Koppen’s sKDICe. The potential forest area is estimated for 6.96 Gha (46.24％) of the global land area (15.05 Gha).