• Title/Summary/Keyword: 결정오차

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Automatic Extraction of Training Dataset Using Expectation Maximization Algorithm - for Automatic Supervised Classification of Road Networks (기대최대화 알고리즘을 활용한 도로노면 training 자료 자동추출에 관한 연구 - 감독분류를 통한 도로 네트워크의 자동추출을 위하여)

  • Han, You-Kyung;Choi, Jae-Wan;Lee, Jae-Bin;Yu, Ki-Yun;Kim, Yong-Il
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.27 no.2
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    • pp.289-297
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    • 2009
  • In the paper, we propose the methodology to extract training dataset automatically for supervised classification of road networks. For the preprocessing, we co-register the airborne photos, LIDAR data and large-scale digital maps and then, create orthophotos and intensity images. By overlaying the large-scale digital maps onto generated images, we can extract the initial training dataset for the supervised classification of road networks. However, the initial training information is distorted because there are errors propagated from registration process and, also, there are generally various objects in the road networks such as asphalt, road marks, vegetation, cars and so on. As such, to generate the training information only for the road surface, we apply the Expectation Maximization technique and finally, extract the training dataset of the road surface. For the accuracy test, we compare the training dataset with manually extracted ones. Through the statistical tests, we can identify that the developed method is valid.

Prediction on the Quality of Forage Crop Seeded in Spring by Near Infrared Reflectance Spectroscopy (NIRS) (근적외선 분광법에 의한 춘계 파종 사초의 성분추정)

  • Lee, Hyo-Won
    • Journal of The Korean Society of Grassland and Forage Science
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    • v.31 no.4
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    • pp.409-414
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    • 2011
  • This study was conducted to find out an alternative way of rapid and accurate analysis of forage quality. Near Infrared Reflectance Spectroscopy (NIRS) was used to evaluate the possibility of forage analysis. 175 samples consisted of Italian ryegrass, whole crop barley and pea seeded spring in 2009 were collected. The samples were analyzed for moisture, crude protein (CP), crude ash (CA), acid detergent fiber (ADF), and neutral detergent fiber (NDF), and also scanned using NIRSystem with wavelength from 400~2,500 nm. Multiple linear regression was used with wet analysis data for developing the calibration model and validated unknown samples. The important index in this experiment were SEC, SEP. The r2 value for moisture, CP, CA, ADF, and NDF in calibration set was 0.65, 0.97, 0.93, 0.99, and 0.97 and also was 0.15, 0.94, 0.96, 0.98 and 0.98 in validation set, respectively. The results of this experiment indicates that NIRS was reliable analytical method to assess forage quality for CP, CA ADF and NDF except moisture content in forage when proper samples incorporated into the equation development.

Predicting the Changes of Yearly Productive Area Distribution for Pinus densiflora in Korea Based on Climate Change Scenarios (기후변화 시나리오에 의한 중부지방소나무의 연도별 적지분포 변화 예측)

  • Ko, Sung Yoon;Sung, Joo Han;Chun, Jung Hwa;Lee, Young Geun;Shin, Man Yong
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.16 no.1
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    • pp.72-82
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    • 2014
  • This study was conducted to predict the changes of yearly productive area distribution for pinus densiflora under climate change scenario. For this, site index equations by ecoprovinces were first developed using environmental factors. Using the large data set from both a digital forest site map and a climatic map, a total of 48 environmental factors including 19 climatic variables were regressed on site index to develop site index equations. Two climate change scenarios, RCP 4.5 and RCP 8.5, were then applied to the developed site index equations and the distribution of productive areas for pinus densiflora were predicted from 2020 to 2100 years in 10-year intervals. The results from this study show that the distribution of productive areas for pinus densiflora generally decreases as time passes. It was also found that the productive area distribution of Pinus densiflora is different over time under two climate change scenarios. The RCP 8.5 which is more extreme climate change scenario showed much more decreased distribution of productive areas than the RCP 4.5. It is expected that the study results on the amount and distribution of productive areas over time for pinus densiflora under climate change scenarios could provide valuable information necessary for the policies of suitable species on a site.

A Study on the Influence of Apartment Brand Image on Occupancy Satisfaction (아파트 브랜드 이미지가 입주만족도에 미치는 영향 분석)

  • Kim, Dong-Il;Kang, Hee-Sam
    • Journal of the Korea Convergence Society
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    • v.9 no.3
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    • pp.241-247
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    • 2018
  • The purpose of this study is to investigate the relationship between the residential satisfaction and the residential satisfaction in the residential environment. For this study, we analyzed the main factors of occupancy satisfaction by integrating previous studies on brand and housing and purchase intention, developing a research model based on the theoretical study on occupancy satisfaction, and establishing a research hypothesis. The results of this study are as follows: First, the relationship between first brand image and occupancy satisfaction is statistically significant. Second, the relationship between residential satisfaction and residential satisfaction is significant. In addition, the relationship with prices acting as parameters is analyzed to be somewhat significant. Therefore, this study is expected to provide not only useful information in the relationship between apartment supplier and consumer, but also provide basic information on similar research. Therefore, this study is expected to provide not only useful information in the relationship between apartment supplier and consumer, but also provide basic information on similar research. However, due to limitations such as selection of control variables and analytical errors, future research should be conducted through development of more comprehensive and valid indicators.

Calculation of Non-Working Days due to Weather Factors during Structural Steel Works (기후요소에 의한 철골공사 작업불가능일 산정에 관한 연구)

  • Lee, Duk-Hyung;You, Jung-Sik;You, Jae-Kil;Jung, Jae-Hun;Jung, Hee-Kyung;Yu, Jung-Ho;Kim, Chang-Duk
    • Korean Journal of Construction Engineering and Management
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    • v.7 no.4 s.32
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    • pp.137-145
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    • 2006
  • Calculating non-working days is very important element for the accurate estimation of construction time. And non-working days are largely affected by weather factors such as rainfall, wind velocity, snowfall and temperature. In the case of concrete works, there are lots of referable information for the calculation of non-working days due to the weather factors. However, for the structural steel works, there are very limited information only. Through literature survey and interviews with a few engineers, this paper established the weather factors that affect steel structural works and the impact of those factors. Based on the factors and the expected impact of the factors together with the weather data during the last 15 years in Seoul region gathered from Korea Meteorological Administration, this paper suggests the monthly non-working day of structural steel work due to weather factors. This information can be used for the early estimation of construction time.

A Study on the Correlation with the Degree of Compaction and the Penetration Depth Using the Portable Penetration Meter at Field Test (휴대용 다짐도 측정기의 현장실험을 통한 다짐도와 관입깊이 상관성 연구)

  • Park, Geoun Hyun
    • Journal of the Korean GEO-environmental Society
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    • v.19 no.11
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    • pp.5-14
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    • 2018
  • Worldwide, soil compaction work is one of the most important activities that are carried out on civil engineering works sites. Compaction work, particularly in the area of road construction, is considered to be important, as poor compaction work is closely related with poor construction even after a construction is complete. Currently, the plate bearing test or the sand cone method relative to the unit weight of soil test are commonly used to measure the degree of compaction, but as these require a great deal of time, equipment and manpower, it is difficult to secure economic efficiency. The method that is used to measure the degree of compaction according to the penetration depth achieved by free fall objects through gravity is the Free-Fall Penetration Test (FFPT), which uses a so-called "portable compaction measuring meter (PCMM)." In this study, the degree of compaction was measured and a penetration depth graph was developed after the field test using the portable compaction measuring meter. The coefficient of determination was 0.963 at a drop height of 10 cm, showing the highest level of accuracy. Both horizontal axis and longitudinal axis were developed in a decimal form of graph, and the range of allowable error was ${\pm}1.28mm$ based on the penetration depth. The portable compaction measuring meter makes it possible to measure the degree of compaction simply, quickly and accurately in the field, which will ensure economic efficiency and facilitate the process management.

Analysis of 226Ra in the Groundwater Using the Gamma-ray Spectroscopy (감마선 분광법을 이용한 지하수 중의 226Ra 분석)

  • Seo, Bum-Kyoung;Lee, Kil-Yong;Yoon, Yoon-Yeol;Lee, Kune-Woo
    • Analytical Science and Technology
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    • v.16 no.1
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    • pp.39-47
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    • 2003
  • The measurement of radium ($^{226}Ra$) in the groundwater was established using ${\gamma}$-ray spectroscopy without sample preparation. The background interference by air borne radon daughter nuclides was reduced by $N_2$ gas flow into the counting chamber. Leakage of radon gas produced in the radioactive equilibrium with radium and its daughter nuclides was prevented by use of the air-tighted aluminium container. We investigated the effect of air layer in the counting container. Radioactivity variation due to emanation of radon into the air layer was within the counting error range 5%. When the nitrogen gas was flowed around the detector, peak counts of ${\gamma}$-rays from the daughters of airborne radon was decreased and detection limit was decreased to 0.02 Bq/L. The detection limit of detector was lower than 0.74 Bq/L, the $^{226}Ra$ Maximum Contaminant Level (MCL) in the groundwater proposed by US Environmental Protection Agency (EPA). It was confirmed that $^{226}Ra$ radioactivity in the groundwater could be determined by the ${\gamma}$-ray spectroscopy.

Effectiveness of the Respiratory Gating System for Stereotectic Radiosurgery of Lung Cancer (Lung Cancer의 Stereotactic Radiosurgery시 Respiratory Gating system의 유용성에 대한 연구)

  • Song Heung Kwon;Kim Min Su;Yang Oh Nam;Park Cheol Su;Kwon Kyung Tae;Kim Jeong Man
    • 대한방사선치료학회:학술대회논문집
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    • 2005.06a
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    • pp.13-17
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    • 2005
  • Introduction : For stereotactic radiosurgery (SRS) of a tumor in the region whose movement due to respiration is significant, like Lung lower lobe, the gated therapy, which delivers radiation dose to the selected respiratory phases when tumor motion is small, was peformed using the Respiratory gating system and its clinical effectiveness was evaluated. Methode and Materials : For two SRS patients with a tumor in Lung lower lobe, a marker block (infrared reflector) was attached on the abdomen. While patient' respiratory cycle was monitored with Real-time Position Management (RPM, Varian, USA), 4D CT was performed (10 phases per a cycle). Phases in which tumor motion did not change rapidly were decided as treatment phases. The treatment volume was contoured on the CT images for selected treatment phases using maximum intensity projection (MIP) method. In order to verify setup reproducibility and positional variation, 4D CT was repeated. Result : Gross tumor volume (GTV) showed maximum movement in superior-inferior direction. For patient $\#$1, motion of GTV was reduced to 2.6 mm in treatment phases ($30\%\~60\%$), while that was 9.4 mm in full phases ($0\%\~90\%$) and for patient $\#$2, it was reduced to 2.3 mm in treatment phases ($30\%\~70\%$), while it was 11.7 mm in full phases ($0\%\~90\%$). When comparing two sets of CT images, setup errors in all the directions were within 3 mm. Conclusion : Since tumor motion was reduced less than 5 mm, the Respiratory gating system for SRS of Lung lower lobe is useful.

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RPC Model Generation from the Physical Sensor Model (영상의 물리적 센서모델을 이용한 RPC 모델 추출)

  • Kim, Hye-Jin;Kim, Jae-Bin;Kim, Yong-Il
    • Journal of Korean Society for Geospatial Information Science
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    • v.11 no.4 s.27
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    • pp.21-27
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    • 2003
  • The rational polynomial coefficients(RPC) model is a generalized sensor model that is used as an alternative for the physical sensor model for IKONOS-2 and QuickBird. As the number of sensors increases along with greater complexity, and as the need for standard sensor model has become important, the applicability of the RPC model is also increasing. The RPC model can be substituted for all sensor models, such as the projective camera the linear pushbroom sensor and the SAR This paper is aimed at generating a RPC model from the physical sensor model of the KOMPSAT-1(Korean Multi-Purpose Satellite) and aerial photography. The KOMPSAT-1 collects $510{\sim}730nm$ panchromatic images with a ground sample distance (GSD) of 6.6m and a swath width of 17 km by pushbroom scanning. We generated the RPC from a physical sensor model of KOMPSAT-1 and aerial photography. The iterative least square solution based on Levenberg-Marquardt algorithm is used to estimate the RPC. In addition, data normalization and regularization are applied to improve the accuracy and minimize noise. And the accuracy of the test was evaluated based on the 2-D image coordinates. From this test, we were able to find that the RPC model is suitable for both KOMPSAT-1 and aerial photography.

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A Study on the Wireless Ship Motion Measurement System Using AHRS (AHRS를 이용한 무선 선체 운동 측정 시스템에 관한 연구)

  • Kim, Dae-Hae;Lee, Sang-Min;Kong, Gil-Young
    • Journal of Navigation and Port Research
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    • v.37 no.6
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    • pp.575-580
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    • 2013
  • The IMU(Inertial Measurement Unit) which is the expensive equipment has been used as a special limited area, usually in measurement of posture of applying to the areas of ship, submarine, aircraft and military equipment application. However, in the current situation, MEMS AHRS technology can replace the high-priced IMU in MEMS AHRS selected application field. In this paper, wireless hull motion measurement system was suggested for measuring key elements of ship's movement such as rolling, pitching and yawing using gyro, acceleration and magnetic sensors of AHRS. In order to reduce the error such as instantaneous acceleration, effects and vibration of geomagnetic, we have adopted the sensors equipped with Kalman filtering. The Wireless hull motion measurement system using AHRS sensors was tested in actual ship and it could easily be applied in limited installation circumstances of the ship. In the future, this system can be useful in the navigation safety and marine accident analysis by using with ship equipment such as INS or VDR in the maritime.