• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권3호
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• pp.993-1014
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• 2021

This paper proposes a new image retrieval method called the 3D integrated multi-index to fuse SIFT (Scale Invariant Feature Transform) visual words with other features at the indexing level. The advantage of the 3D integrated multi-index is that it can produce finer subdivisions in the search space. Compared with the inverted indices of medium-sized codebook, the proposed method increases time slightly in preprocessing and querying. Particularly, the SIFT, contour and colour features are fused into the integrated multi-index, and the joint cooperation of complementary features significantly reduces the impact of false positive matches, so that effective image retrieval can be achieved. Extensive experiments on five benchmark datasets show that the 3D integrated multi-index significantly improves the retrieval accuracy. While compared with other methods, it requires an acceptable memory usage and query time. Importantly, we show that the 3D integrated multi-index is well complementary to many prior techniques, which make our method compared favorably with the state-of-the-arts.

• Korean Journal of Radiology
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• 제23권10호
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• pp.986-997
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• 2022

Objective: Whether metabolic redistribution occurs in patients with white matter hyperintensities (WMHs) on magnetic resonance imaging (MRI) is unknown. This study aimed 1) to propose a measure of the brain metabolic network for an individual patient and preliminarily apply it to identify impaired metabolic networks in patients with WMHs, and 2) to explore the clinical and imaging features of metabolic redistribution in patients with WMHs. Materials and Methods: This study included 50 patients with WMHs and 70 healthy controls (HCs) who underwent ¹⁸F-fluorodeoxyglucose-positron emission tomography/MRI. Various global property parameters according to graph theory and an individual parameter of brain metabolic network called "individual contribution index" were obtained. Parameter values were compared between the WMH and HC groups. The performance of the parameters in discriminating between the two groups was assessed using the area under the receiver operating characteristic curve (AUC). The correlation between the individual contribution index and Fazekas score was assessed, and the interaction between age and individual contribution index was determined. A generalized linear model was fitted with the individual contribution index as the dependent variable and the mean standardized uptake value (SUV_mean) of nodes in the whole-brain network or seven classic functional networks as independent variables to determine their association. Results: The means ± standard deviations of the individual contribution index were (0.697 ± 10.9) × 10^-3 and (0.0967 ± 0.0545) × 10^-3 in the WMH and HC groups, respectively (p < 0.001). The AUC of the individual contribution index was 0.864 (95% confidence interval, 0.785-0.943). A positive correlation was identified between the individual contribution index and the Fazekas scores in patients with WMHs (r = 0.57, p < 0.001). Age and individual contribution index demonstrated a significant interaction effect on the Fazekas score. A significant direct association was observed between the individual contribution index and the SUV_mean of the limbic network (p < 0.001). Conclusion: The individual contribution index may demonstrate the redistribution of the brain metabolic network in patients with WMHs.

• 한국산학기술학회논문지
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• 제20권7호
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• pp.1-7
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• 2019

본 논문은 침수피해 방지를 위한 기존의 우수배제시스템의 한계점을 극복하기 위해서 신규 개발된 친환경 수로형 우수배제시스템을 비교 및 분석하고, 기존 시스템 대비 장점을 정량화하기 위한 통합평가지표의 개발 및 적용에 관한 연구이다. 이에 전과정평가(Life Cycle Assessment, LCA)의 개념을 적용하여 각 공정별 필요물량과 비용을 산정하여 비교하였고, 또한 탄소배출량을 각 과정별로 산정하여 고려하는 통합평가지표를 개발하여 각각의 기술에 적용하였다. 그 결과 원형 집수시스템에 비해 전 과정에 걸쳐 비용이 53 %, 측구 집수시스템에 비해 63 %가 절감되는 것으로 분석되었다. 또한 통합평가지표 적용결과, 기존 기술대비 수로형 집수시스템을 평가한 결과 건설공사 분야를 제외한 나머지 4가지 분야(건설자재, 운용 및 유지관리, 해체, 폐기)에 있어서 80 % 이상의 높은 점수로 평가되었다. 본 연구에서 개발된 평가지표를 경기도 안양현장과 인천 청라현장에 적용하여 기존 기술대비 약 35 ~ 100 % 개선된 높은 점수로 향상되어 개선효과를 입증하였고 동시에 적용성을 확보하였다.

• 대한토목학회논문집
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• 제29권4D호
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• pp.473-481
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• 2009

본 연구는 도로이용 만족도를 평가하기 위해 기존의 통행속도, 지체 등의 정량적인 부분 뿐만아니라 교통정보, 교통안전 등의 정성적인 부분을 고려한 통합적인 서비스 평가지표를 개발하는 것이다. 새로운 평가지표는 기존의 연구결과와 전문가, 도로이용자의 설문을 통해 ANP분석방법을 이용하여 평가항목 및 가중치를 개발하였다. 개발된 평가지표를 검증하기 위하여 뇌파검지기를 통한 도로 이용자 운전 시 느끼는 정도를 측정하여 원인을 분석하여 비교한 결과 기존의 평가지표인 속도는 35%정도의 영향을 주는 것으로 나타났고 교통안전, 교통정보 등의 요인에도 많은 영향을 받는 것으로 나타났다. 따라서 본 연구에서 제시한 통합적인 평가지표는 기존의 도로이용 서비스 만족도보다 이용자측면에서 평가할 수 있고,- 도로의 미관, 교통정보, 교통안전 등의 시대의 요구를 반영할 수 있는 지표의 개발이라는데 의의가 있다.

• 자원ㆍ환경경제연구
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• 제14권1호
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• pp.135-166
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• 2005

본 연구의 목적은 한국의 24개 광업과 제조업종을 대상으로 1995~1999년간 통합된 오염원단위 지수와 변화지수를 제시하고 이를 통하여 환경성과를 측정하고자 함이다. 본 연구는 오염원단위의 새로운 정의와 통합된 오염원단위를 측정하는 새로운 기법을 제시한다. 광업과 제조업을 경공업, 중공업 그리고 중공업내 오염산업과 여타중공업으로 구분하고 실증적으로 통합원단위 지수와 변화지수를 계측한다. 통합오염원단위 지수 기준으로 중공업내 오염산업은 가장 오염집약적인 업종인 반면, 같은 중공업내 여타 중공업에 속한 업종은 가장 오염저감에 성공적이다. 통합오염원단위 변화지수를 기준으로 산업 전체의 평균치는 1,091로서 오염배출량변화지수가 1.133으로 연간 13.3% 증가한 반면 산출량변화지수는 1.039로 연간 3.9% 증가하여 약 9.1% 상승하였다. 경공업과 중공업의 통합원단위 변화지수는 각각 1.125와 1.042였고, 오염산업의 평균이 1.287로 가장 높았음에도 중공업의 평균이 낮았던 것은 역시 여타 중공업의 평균이 0.913으로 연간 약 9% 가량 감소하였기 때문이다.

• 한국수자원학회논문집
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• 제46권10호
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• pp.1017-1028
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• 2013

본 연구의 목적은 물이용, 홍수 및 하천환경의 3개 수자원 정책 부문에서 수행한 사업성과를 지역별로 평가할 수 있는 통합수자원평가지수(Integrated Water Resources Evaluation Index, IWREI)를 개발하는 것이다. IWREI는 각 부문별 취약성을 나타내는 물이용취약지수(Water Use Vulnerability Index, WUVI), 홍수취약성지수(Flood Vulnerability Index, FVI), 하천환경취약지수(River Environment Vulnerability Index, REVI)를 통합하여 산정된다. 이들 지수들은 물이용, 홍수, 하천환경의 피해를 주는 압력지표(pressure indicators)와 이에 의한 피해 현상지표(state indicators) 및 피해의 대책지표(response indicators)에서 선정한 총 26개 지표로 구성된다, 산정된 지수는 Low, Medium Low, Medium, Medium High, 및 High의 5단계로 취약성 및 정책수행의 효과를 나타냈다. 우리나라 115개의 중권역에 대해 WUVI, FVI, REVI 및IWREI을 분석한 결과, 1990년대 초반에 비해 2000년대 초반의 지수가 개선되어 수자원 정책의 사업효과를 확인할 수 있다. 본 연구에서 개발된 지역간수자원의 취약지수와 평가지수는 수자원 정책목표의 설정과 사업이행의 우선지역을 선정하는데 이용할 수 있다.

• 대한통합의학회지
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• 제11권1호
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• pp.31-41
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• 2023

Purpose : This study was conducted to identify the common characteristics of older persons with sarcopenia and to explore the relationship between gait, balance, and stress using an integrated assessment tool. Methods : In this study, 95 people aged 65 years or older were screened using the sarcopenia diagnostic evaluation algorithm presented by the Asian Working Group for Sarcopenia in 2019. Skeletal muscle index, grip strength, and short physical performance battery were used as sarcopenia evaluation measurements. Based on the results of this evaluation, participants were grouped into the 'non-sarcopenia group' (41 participants) or the 'sarcopenia group' (54 participants). Participants underwent further assessment using an integrated evaluation tool capable of measuring gait, balance, and stress. Gait ability was evaluated using the timed up and go test, and balance ability was evaluated using the berg balance scale. And the stress of the last month was measured by modifying the stress index developed by a Korean researcher. Collected data were statistically analyzed using the independent t-test and Mann Whitney-U test. Results : The sarcopenia group and the non-sarcopenia group showed significant differences in all elements of the sarcopenia diagnostic evaluation. There were significant differences in all three integrated evaluation tools. For the evaluation of walking ability, the time measured in the timed up and go test was longer in the sarcopenia group, the berg balance scale score for the evaluation of balance ability was lower in the sarcopenia group, and the stress index was higher in the sarcopenia group. Conclusion : Through sarcopenia analysis using an integrated evaluation tool, it was confirmed that sarcopenia is closely related to decreased walking ability, poor balance, and increased stress. We recommend using this tool to reduce the risk of sarcopenia progression and stress exposure through the planning and implementation of an exercise program for sarcopenia prevention.

• Communications for Statistical Applications and Methods
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• 제8권2호
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• pp.543-556
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• 2001

This study suggests integrated neural network modes for he stock price index forecasting using change-point detection. The basic concept of this proposed model is to obtain significant intervals occurred by change points, identify them as change-point groups, and reflect them in stock price index forecasting. The model is composed of three phases. The first phase is to detect successive structural changes in stock price index dataset. The second phase is to forecast change-point group with various data mining classifiers. The final phase is to forecast the stock price index with backpropagation neural networks. The proposed model is applied to the stock price index forecasting. This study then examines the predictability of integrated neural network models and compares the performance of data mining classifiers.

• 농촌계획
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• 제20권4호
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• pp.25-33
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• 2014

This study has intended to build a rural landscape evaluation model based on an integrated landscape assessment paradigm of rural region using an additive integration index method and applied the model to the Seondong Region of Gochang-gun, Jeollabuk-do, Korea. To reach this goal, this study developed a model to calculate Integrated Landscape Assessment Index. The model has employed the Objective Landscape Index, the Subjective Landscape Index, and the weighted values, and was applied to the Seondong region. This study has found the following results: 1) forests and water spaces were assessed with relatively better visual preferences and better landscape ecosystem; 2) the historic cultural area and scenic agriculture as well as general farm land were assessed with moderate ratings; and, 3) the villages included in development plan, their adjacent arable farming land, and the village watercourses were forming relatively poorer landscape.

• 한국농공학회논문집
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• 제59권5호
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• pp.127-136
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• 2017

The object of this study was to assess availability of meteorological drought index for agricultural dorught estimation in ungauged area of agricultural drought parameters which are reservoir water level and soil moisture. The IADI (Integrated Agricultural Drought Index) and the SPI (Standard Precipitation Index), which are the criteria for determining agricultural drought and meteorological drought, were calculated and compared. For this purpose, the droughts that occurred in the Baeksan reservoir in Gimje and the Edong reservoir in Suwon were evaluated by using the IADI and SPI drought indecies. In addition, we compared and analyzed the depth of drought based on the two drought indices. Evaluations derived form the IADI and SPI showed that the standard precipitation index tended to indicate the occurrence of drought earlier than the integrated agricultural drought index. However, the integrated agricultural drought index was better than the standard precipitation index at evaluating the severity of drought during the period of irrigation. The relationship between these two drought indices seems to be useful for decision making in the case of drought, and it is considered that more studies are needed to examine the applicability of these drought indexes.