• Title/Summary/Keyword: Fusion Model

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3D Building Modeling Using Aerial LiDAR Data (항공 LiDAR 데이터를 이용한 3차원 건물모델링)

  • Cho, Hong-Beom;Cho, Woo-Sug;Park, Jun-Ku;Song, Nak-Hyun
    • Korean Journal of Remote Sensing
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    • v.24 no.2
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    • pp.141-152
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    • 2008
  • The 3D building modeling is one of crucial components in constructing 3D geospatial information. The existing methods for 3D building modeling depend mainly on manual photogrammetric processes, which indeed take great amount of time and efforts. In recent years, many researches on 3D building modeling using aerial LiDAR data have been actively performed to aim at overcoming the limitations of existing 3D building modeling methods. Either techniques with interpolated grid data or data fusion with digital map and images have been investigated in most of existing researches on 3D building modeling with aerial LiDAR data. The paper proposed a method of 3D building modeling with LiDAR data only. Firstly, octree-based segmentation is applied recursively to LiDAR data classified as buildings in 3D space until there are no more LiDAR points to be segmented. Once octree-based segmentation is completed, each segmented patch is thereafter merged together based on its geometric spatial characteristics. Secondly, building model components are created with merged patches. Finally, a 3D building model is generated and composed with building model components. The experimental results with real LiDAR data showed that the proposed method was capable of modeling various types of 3D buildings.

A study on EPB shield TBM face pressure prediction using machine learning algorithms (머신러닝 기법을 활용한 토압식 쉴드TBM 막장압 예측에 관한 연구)

  • Kwon, Kibeom;Choi, Hangseok;Oh, Ju-Young;Kim, Dongku
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.24 no.2
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    • pp.217-230
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    • 2022
  • The adequate control of TBM face pressure is of vital importance to maintain face stability by preventing face collapse and surface settlement. An EPB shield TBM excavates the ground by applying face pressure with the excavated soil in the pressure chamber. One of the challenges during the EPB shield TBM operation is the control of face pressure due to difficulty in managing the excavated soil. In this study, the face pressure of an EPB shield TBM was predicted using the geological and operational data acquired from a domestic TBM tunnel site. Four machine learning algorithms: KNN (K-Nearest Neighbors), SVM (Support Vector Machine), RF (Random Forest), and XGB (eXtreme Gradient Boosting) were applied to predict the face pressure. The model comparison results showed that the RF model yielded the lowest RMSE (Root Mean Square Error) value of 7.35 kPa. Therefore, the RF model was selected as the optimal machine learning algorithm. In addition, the feature importance of the RF model was analyzed to evaluate appropriately the influence of each feature on the face pressure. The water pressure indicated the highest influence, and the importance of the geological conditions was higher in general than that of the operation features in the considered site.

Application of major plant nutrient releasing model and N2O emissions to the leachate from the mixtures of rice hull biochar and organic fertilizer materials (왕겨 바이오차와 유기농자재 혼합에 따른 주요 양분 용출 모델 적용 및 N2O 배출량 산정)

  • DongKeon Lee;JaeLee Choi;ChangKi Shim;JooHee Nam;SeokIn Youn;JeongSeok Song;Dogyun Park;JoungDu Shin
    • Journal of the Korea Organic Resources Recycling Association
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    • v.31 no.3
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    • pp.43-53
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    • 2023
  • This batch experiment evaluated the impacts of major plant nutrient releases by applying the modified Hyperbola model on the leachates and N2O emissions from incorporated rice hull biochar with organic fertilizer materials. The treatments consisted of the control as incorporated with organic fertilizer materials, the incorporated rice hull biochar with organic fertilizer materials, and the incorporated plasma-activated rice hull biochar with organic fertilizer materials under redox conditions. The results indicated that the maximum release amount of NH4-N was 3486.3 mg L-1 in the control, and their reduction rates of NH4-N, NO3-N, PO4-P, and K were 8.0%, 17.5% 44.3.0% and 8.7%, respectively, relative to the control. In the control, the highest soluble amount of PO4-P was 681.0 mg L-1. The estimations for accumulated NH4-N, NO3-N, PO4-P, and K-releases in all the treatments were significantly (p<0.01) fitted with a modified Hyperbola model. For greenhouse gas emissions, the lowest cumulative N2O was 340.4 mg kg-1 in the soil incorporated with plasma-activated rice hull biochar, and the reduction rates were 27.8% and 86.4% in the rice hull biochar and plasma-activated rice hull biochar treatments, respectively, compared to the control. Therefore, it concluded that the incorporated rice hull biochar can be especially useful for controlling PO4-P release and N2O emissions for bio-fertilizer applications.

Visualization and Localization of Fusion Image Using VRML for Three-dimensional Modeling of Epileptic Seizure Focus (VRML을 이용한 융합 영상에서 간질환자 발작 진원지의 3차원적 가시화와 위치 측정 구현)

  • 이상호;김동현;유선국;정해조;윤미진;손혜경;강원석;이종두;김희중
    • Progress in Medical Physics
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    • v.14 no.1
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    • pp.34-42
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    • 2003
  • In medical imaging, three-dimensional (3D) display using Virtual Reality Modeling Language (VRML) as a portable file format can give intuitive information more efficiently on the World Wide Web (WWW). The web-based 3D visualization of functional images combined with anatomical images has not studied much in systematic ways. The goal of this study was to achieve a simultaneous observation of 3D anatomic and functional models with planar images on the WWW, providing their locational information in 3D space with a measuring implement using VRML. MRI and ictal-interictal SPECT images were obtained from one epileptic patient. Subtraction ictal SPECT co-registered to MRI (SISCOM) was performed to improve identification of a seizure focus. SISCOM image volumes were held by thresholds above one standard deviation (1-SD) and two standard deviations (2-SD). SISCOM foci and boundaries of gray matter, white matter, and cerebrospinal fluid (CSF) in the MRI volume were segmented and rendered to VRML polygonal surfaces by marching cube algorithm. Line profiles of x and y-axis that represent real lengths on an image were acquired and their maximum lengths were the same as 211.67 mm. The real size vs. the rendered VRML surface size was approximately the ratio of 1 to 605.9. A VRML measuring tool was made and merged with previous VRML surfaces. User interface tools were embedded with Java Script routines to display MRI planar images as cross sections of 3D surface models and to set transparencies of 3D surface models. When transparencies of 3D surface models were properly controlled, a fused display of the brain geometry with 3D distributions of focal activated regions provided intuitively spatial correlations among three 3D surface models. The epileptic seizure focus was in the right temporal lobe of the brain. The real position of the seizure focus could be verified by the VRML measuring tool and the anatomy corresponding to the seizure focus could be confirmed by MRI planar images crossing 3D surface models. The VRML application developed in this study may have several advantages. Firstly, 3D fused display and control of anatomic and functional image were achieved on the m. Secondly, the vector analysis of a 3D surface model was defined by the VRML measuring tool based on the real size. Finally, the anatomy corresponding to the seizure focus was intuitively detected by correlations with MRI images. Our web based visualization of 3-D fusion image and its localization will be a help to online research and education in diagnostic radiology, therapeutic radiology, and surgery applications.

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The Ways to Improve Competitiveness and Performance for Salesmen of Small and Medium IT Company: Focusing on Organizational Citizenship Behavior and Corporate Performance (중소 IT기업 영업사원의 경쟁력 강화를 위한 성과 창출 제고 방안: 조직시민행동 및 경영성과 제고 방안을 중심으로)

  • Lee, Gyu-Don;Lee, Sang-Jin;Lee, Chul-Gyu
    • The Journal of Society for e-Business Studies
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    • v.21 no.3
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    • pp.101-128
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    • 2016
  • To improve competitiveness & performance for salesmen of small & medium IT company, this study aims not only to inspect how value orientation, leadership & justice make effects for Organizational Citizenship Behavior & Business Corporate Performance & but also to explore the role of adaptive selling practices as parameter. To support the study, the data collected from 314 employees in sales roles at more than 200 IT companies was processed via. regression analysis method. The research model of study lies at identification of 'the Effects of Value Orientation, Leadership, & Justice of/Posed by the Salesmen of a IT Company on Organizational Citizenship Behavior & Corporate Performance' based on the phenomena of unfair sales strategies rampantly being taken for short-term profits & survivals despite of the value of upholding business ethics to realize long-term, sustainable growth of a business of company. The hypotheses of this study are formulated as follows. First, value orientation, leadership, & justice shall have effects on organizational citizenship behavior & Corporate performance. Second, adaptive selling practices shall function as the parameters between the independent & dependent variables. The analysis results on the research, undertaken with verification of parametric effects, confirm the following: 1. Value orientation imposes positive (+) effects on adaptive selling practices which impose positive (+) impacts on organizational citizenship behavior & Corporate performance. 2. Adaptive selling practices function as a full parameter between value orientation & organizational citizenship behavior whilst functioning as a partial parameter between value orientation & Corporate performance. 3. Leadership imposes positive (+) effects on adaptive selling practices which impose positive (+) effects on organizational citizenship behavior & Corporate performance. 4. Adaptive selling practices function as a partial parameter between leadership & organizational citizenship behavior whilst functioning as a full parameter between leadership & Corporate performance. Therefore, this study is concluded that establishing & executing sales strategies in consideration of value orientation & fairness is of extreme importance for IT companies to realize & maintain their sustainable corporate management, & last but not least, it is necessary for IT companies to proactively introduce & provide educational systems for their salesmen thus to help them to uphold & sustain ethics & values of the business.

A Study on the establishment of IoT management process in terms of business according to Paradigm Shift (패러다임 전환에 의한 기업 측면의 IoT 경영 프로세스 구축방안 연구)

  • Jeong, Min-Eui;Yu, Song-Jin
    • Journal of Intelligence and Information Systems
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    • v.21 no.2
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    • pp.151-171
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    • 2015
  • This study examined the concepts of the Internet of Things(IoT), the major issue and IoT trend in the domestic and international market. also reviewed the advent of IoT era which caused a 'Paradigm Shift'. This study proposed a solution for the appropriate corresponding strategy in terms of Enterprise. Global competition began in the IoT market. So, Businesses to be competitive and responsive, the government's efforts, as well as the efforts of companies themselves is needed. In particular, in order to cope with the dynamic environment appropriately, faster and more efficient strategy is required. In other words, proposed a management strategy that can respond the IoT competitive era on tipping point through the vision of paradigm shift. We forecasted and proposed the emergence of paradigm shift through a comparative analysis of past management paradigm and IoT management paradigm as follow; I) Knowledge & learning oriented management, II) Technology & innovation oriented management, III) Demand driven management, IV) Global collaboration management. The Knowledge & learning oriented management paradigm is expected to be a new management paradigm due to the development of IT technology development and information processing technology. In addition to the rapid development such as IT infrastructure and processing of data, storage, knowledge sharing and learning has become more important. Currently Hardware-oriented management paradigm will be changed to the software-oriented paradigm. In particular, the software and platform market is a key component of the IoT ecosystem, has been estimated to be led by Technology & innovation oriented management. In 2011, Gartner announced the concept of "Demand-Driven Value Networks(DDVN)", DDVN emphasizes value of the whole of the network. Therefore, Demand driven management paradigm is creating demand for advanced process, not the process corresponding to the demand simply. Global collaboration management paradigm create the value creation through the fusion between technology, between countries, between industries. In particular, cooperation between enterprises that has financial resources and brand power and venture companies with creative ideas and technical will generate positive synergies. Through this, The large enterprises and small companies that can be win-win environment would be built. Cope with the a paradigm shift and to establish a management strategy of Enterprise process, this study utilized the 'RTE cyclone model' which proposed by Gartner. RTE concept consists of three stages, Lead, Operate, Manage. The Lead stage is utilizing capital to strengthen the business competitiveness. This stages has the goal of linking to external stimuli strategy development, also Execute the business strategy of the company for capital and investment activities and environmental changes. Manege stage is to respond appropriately to threats and internalize the goals of the enterprise. Operate stage proceeds to action for increasing the efficiency of the services across the enterprise, also achieve the integration and simplification of the process, with real-time data capture. RTE(Real Time Enterprise) concept has the value for practical use with the management strategy. Appropriately applied in this study, we propose a 'IoT-RTE Cyclone model' which emphasizes the agility of the enterprise. In addition, based on the real-time monitoring, analysis, act through IT and IoT technology. 'IoT-RTE Cyclone model' that could integrate the business processes of the enterprise each sector and support the overall service. therefore the model be used as an effective response strategy for Enterprise. In particular, IoT-RTE Cyclone Model is to respond to external events, waste elements are removed according to the process is repeated. Therefore, it is possible to model the operation of the process more efficient and agile. This IoT-RTE Cyclone Model can be used as an effective response strategy of the enterprise in terms of IoT era of rapidly changing because it supports the overall service of the enterprise. When this model leverages a collaborative system among enterprises it expects breakthrough cost savings through competitiveness, global lead time, minimizing duplication.

The Analysis of Students' Mathematics Achievement by Applying Cognitive Diagnostic Model (인지진단모형을 활용한 수학 학업성취 결과 분석 -2011년 국가수준 학업성취도 평가 자료를 중심으로-)

  • Kim, HeeKyoung;Kim, Bumi
    • School Mathematics
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    • v.15 no.2
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    • pp.289-314
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    • 2013
  • Achievement profile by attribute in Korean students' mathematics was analyzed by applying cognitive diagnostic model, which is the newest measurement theory, to 2011 NAEA(National Assessment of Educational Assessment) results. The results are as follows. As the level of school is higher from 6th grade, 9th grade to 11th grade, the percentage of students mastering cognitive attribute 9(expressions using picture, table, graph, formula, symbol, writing, etc) drastically declined from 78%, 35% to 26%. It is necessary to have learning strategies to reinforce their abilities of expressing table, graph, etc. that higher graders in mathematics are more vulnerable to. Next, the property of mastering cognitive attributes according to gender, multi-cultural family was analyzed. In terms of mathematics, the percentage of girls mastering most of the attribute generally is higher than that of boys from 6th grade to 9th grade, however, boys show higher mastery in almost attributes than girls in the 11th grade. Compared to boys, the part where girls have the most trouble is attribute 9 in mathematics(expressions using picture, table, graph, formula, symbol, writing, etc). As international marriage, influx of foreign workers, etc. increase, the number of students from Korea's multi-cultural families is expected to be higher, therefore, identifying the characteristics of their educational achievement is significant in reinforcing Korea's basic achievement. In mathematics, gap of mastery level of attributes between multi-cultural group and ordinary group is more severe in higher grade and the type of multi-cultural group that needs supports for improving achievement most urgently changed in 6th grade, 9th grade and 11th grade respectively. In the 6th and 11th grade, migrant students from North Korea show the lowest level of mastering attributes, however, in the 9th grade, the mastery rate of immigrant students is lowest. Therefore, there is an implication that supporting plans for improving achievement of students from multi-cultural family should establish other strategies based on the characteristics of school level.

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Study on the Development of Convergence Class Model about Marketing and Business English in Mongolia University (몽골 대학에서 상업영어와 마케팅 교과간 융합수업 모형 개발에 관한 연구)

  • Bayarmaa, Natsagdorj;Lee, Keunsoo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.10
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    • pp.610-616
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    • 2018
  • A variety of creative convergence education studies have been conducted around the world, but the study of creative convergence education based on problem-oriented learning is insignificant. STEAM education development research for engineering human resources also recognizes important factors like ethics awareness and consideration, cooperation, leadership, and communication skills. This study developed a model of interdisciplinary classes between marketing and commercial English classes as a way to effectively learn to cultivate the creative and fusion talents required by modern society. A model was developed for the process of convergence classes to be developed for evaluation after class by designing courses, selecting subjects, designing classes, drawing questions, and developing problems, as well as for discussion of pre-convergence courses, class performance, and class evaluation. The Mongolian university discussed in this paper plans to introduce a suitable educational environment by developing a problem for interdisciplinary classes in marketing and business English. Based on the need to nurture talent required by the rapidly changing knowledge-based society, Mongolian universities should continue the strategy of fostering creative convergence talent through the convergence of technology. This is because creativity is the most important thing in the current situation.

Hu.4-1BB-Fc fusion protein inhibits allergic inflammation and airway hyperresponsiveness in a murine model of asthma

  • Kim, Byoung-Ju;Kwon, Ji-Won;Seo, Ju-Hee;Choi, Won-Ah;Kim, Young-Jun;Kang, Mi-Jin;Yu, Jin-Ho;Hong, Soo-Jong
    • Clinical and Experimental Pediatrics
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    • v.54 no.9
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    • pp.373-379
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    • 2011
  • Purpose: 4-1BB (CD 137) is a costimulatory molecule expressed on activated T-cells. Repression by 4-1BB is thought to attenuate Th2-mediated allergic reactions. The aim of this study was to investigate the effect of 4-1BB on allergic airway inflammation in a murine asthma model. Methods: BALB/c mice were sensitized to and challenged with ovalbumin (OVA). Hu.4-1BB-Fc was administered 1 day before the first OVA sensitization or 1 day after the second OVA sensitization. Following antigen challenge, airway responsiveness to methacholine was assessed and bronchoalveolar lavage (BAL) fluid was analyzed. Total immunoglobulin (Ig) E, OVA-specific IgE, $IgG_1$, and $IgG_{2a}$ levels in sera were measured by enzyme-linked immunosorbent assay. Lung pathology was also evaluated. Results: In mice treated with Hu.4-1BB-Fc before the first OVA sensitization, there was a marked decrease in airway hyperresponsiveness, total cell count, and eosinophil count in the BAL fluid. In addition, Hu.4-1BB-Fc treatment decreased serum OVA-specific $IgG_1$ levels and increased serum $IgG_{2a}$ level significantly compared with the corresponding levels in mice sensitized to and challenged with OVA. Hu.4-1BB-Fc-treated mice also showed suppressed peribronchial and perivascular inflammatory cell infiltration. In contrast, treatment with Hu.4-1BB-Fc 1 day after sensitization had no effect on airway hyperresponsiveness and showed less suppression of inflammation in lung tissue. Conclusion: Administration of Hu.4-1BB-Fc can attenuate airway inflammation and hyperreactivity in a mouse model of allergic airway inflammation. In addition, administration before sensitization may be more effective. These findings suggest that 4-1BB may be a useful therapeutic molecule against asthma.

Generation of the KOMPSAT-2 Ortho Mosaic Imagery on the Korean Peninsula (아리랑위성 2호 한반도 정사모자이크영상 제작)

  • Lee, Kwang-Jae;Yyn, Hee-Cheon;Kim, Youn-Soo
    • Journal of the Korean Association of Geographic Information Studies
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    • v.16 no.3
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    • pp.103-114
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    • 2013
  • In this study, we established the ortho mosaic imagery on the Korean Peninsula using KOMPSAT-2 images and conducted an accuracy assessment. Rational Polynomial Coefficient(RPC) modeling results were mostly less than 2 pixels except for mountainous regions which was difficult to select a Ground Control Point(GCP). Digital Elevation Model(DEM) which was made using the digital topographic map on the scale of 1:5,000 was used for generating an ortho image. In the case of inaccessible area, the Shuttle Radar Topography Mission(SRTM) DEM was used. Meanwhile, the ortho mosaic image of the Korean Peninsula was produced by each ortho image aggregation and color adjustment. An accuracy analysis for the mosaic image was conducted about a 1m color fusion image. In order to verify a geolocation accuracy, 813 check points which were acquired by field survey in South Korea were used. We found that the maximum error was not to exceed 5m(Root Mean Square Error : RMSE). On the other hand, in the case of inaccessible area, the extracted check points from a reference image were used for accuracy analysis. Approximately 69% of the image has a positional accuracy of less than 3m(RMSE). We found that the seam-line accuracy among neighboring image was very high through visual inspection. However, there were a discrepancy with 1 to 2 pixels at some mountainous regions.