• Title/Summary/Keyword: Model Efficiency

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The Improvement of Point Cloud Data Processing Program For Efficient Earthwork BIM Design (토공 BIM 설계 효율화를 위한 포인트 클라우드 데이터 처리 프로그램 개선에 관한 연구)

  • Kim, Heeyeon;Kim, Jeonghwan;Seo, Jongwon;Shim, Ho
    • Korean Journal of Construction Engineering and Management
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    • v.21 no.5
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    • pp.55-63
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    • 2020
  • Earthwork automation has emerged as a promising technology in the construction industry, and the application of earthwork automation technology is starting from the acquisition and processing of point cloud data of the site. Point cloud data has more than a million data due to vast extent of the construction site, and the processing time of the original point cloud data is critical because it takes tens or hundreds of hours to generate a Digital Terrain Model (DTM), and enhancement of the processing time can largely impact on the efficiency of the modeling. Currently, a benchmark program (BP) is actively used for the purpose of both point cloud data processing and BIM design as an integrated program in Korea, however, there are some aspects to be modified and refined. This study modified the BP, and developed an updated program by adopting a compile-based development environment, newly designed UI/UX, and OpenGL while maintaining existing PCD processing functions, and expended compatibility of the PCD file formats. We conducted a comparative test in terms of loading speed with different number of point cloud data, and the results showed that 92 to 99% performance increase was found in the developed program. This program can be used as a foundation for the development of a program that reduces the gap between design and construction by integrating PCD and earthwork BIM functions in the future.

The Critical Pigment Volume Concentration Concept for Paper Coatings: II. Later-Bound Clay; Ground Calcium Carbonate, and Clay- carbonate Pigment Coatings

  • Lee, Do-Ik
    • Journal of Korea Technical Association of The Pulp and Paper Industry
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    • v.34 no.5
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    • pp.18-38
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    • 2002
  • A previous study on the model coatings based on latex-bound plastic pigment coatings (1) has been extended to latex-bound No. 1 clay, ultra-fine ground calcium carbonate (UFGCC), and clay-carbonate pigment mixture coatings, which are being widely used in the paper industry. The latex binder used was a good film-forming, monodisperse S/B latex or 0.15$\mu\textrm{m}$. No. 1 clay was representative of plate-like pigment particles, whereas UFGCC was of somewhat rounded rhombohedral pigment particlel. Both of them had negatively skewed triangular particle size distributions having the mean particle suet of 0.7${\mu}{\textrm}{m}$ and 0.6$\mu\textrm{m}$, respectively. Their packing volumes were found to be 62.5% and 657%, respectively. while their critical pigment volume concentrations (CPVC's) were determined to be 52.7% and 50.5% ( average of 45% caused by the incompatibility and 55.9% extrapolated) by coating porosity, respectively. Each pigment/latex coating system has shown its unique relationship between coating properties and pigment concentrations, especially above its CPVC. Notably, the clay/latex coating system hat shown higher coating porosity than the UFGCC/latex system at high pigment concentrations above their respective CPVC's. It was also found that their coating porosity and gloss were inter-related to each other above the CPVC's, as predicted by the theory. More interestingly, the blends of these two pigments have shown unique rheological and coating properties which may explain why such pigment blends are widely used in the industry. These findings have suggested that the unique structure of clay coatings and the unique high-shear rheology of ground calcium carbonate coatings can be judiciously combined to achieve superior coatings. Importantly, the low-shear viscosity of the blends was indicative of their unique packing and coating structure, whereas their high-shear rheology was represented by a common mixing rule, i.e., a viscosity-averaging. Transmission and scanning electron and atomic force microscopes were used to probe the state of pigment / latex dispersions, coating surfaces, freeze fractured coating cross-sections, and coating surface topography. These microscopic studies complemented the above observations. In addition, the ratio, R, of CPVC/(Pigment Packing Volume) has been proposed as a measure of the binder efficiency for a given pigment or pigment mixtures or as a measure of binder-pigment interactions. Also, a mathematical model has been proposed to estimate the packing volumes of clay and ground calcium carbonate pigments with their respective particle size distributions. As well known in the particle packing, the narrower the particle size distributions, the lower the packing volumes and the greater the coating porosity, regardless of particle shapes.

Estimation of Forest Biomass based upon Satellite Data and National Forest Inventory Data (위성영상자료 및 국가 산림자원조사 자료를 이용한 산림 바이오매스 추정)

  • Yim, Jong-Su;Han, Won-Sung;Hwang, Joo-Ho;Chung, Sang-Young;Cho, Hyun-Kook;Shin, Man-Yong
    • Korean Journal of Remote Sensing
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    • v.25 no.4
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    • pp.311-320
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    • 2009
  • This study was carried out to estimate forest biomass and to produce forest biomass thematic map for Muju county by combining field data from the 5$^{th}$ National Forest Inventory (2006-2007) and satellite data. For estimating forest biomass, two methods were examined using a Landsat TM-5(taken on April 28th, 2005) and field data: multi-variant regression modeling and t-Nearest Neighbor (k-NN) technique. Estimates of forest biomass by the two methods were compared by a cross-validation technique. The results showed that the two methods provide comparatively accurate estimation with similar RMSE (63.75$\sim$67.26ton/ha) and mean bias ($\pm$1ton/ha). However, it is concluded that the k-NN method for estimating forest biomass is superior in terms of estimation efficiency to the regression model. The total forest biomass of the study site is estimated 8.4 million ton, or 149 ton/ha by the k-NN technique.

Influence on Information Security Behavior of Members of Organizations: Based on Integration of Theory of Planned Behavior (TPB) and Theory of Protection Motivation (TPM) (조직구성원들의 정보보안행동에 미치는 영향: 보호동기이론(PMT)과 계획된 행동이론(TPB) 통합을 중심으로)

  • Jeong, hye in;Kim, seong jun
    • Korean Security Journal
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    • no.56
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    • pp.145-163
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    • 2018
  • Recently, security behavior of members of organizations has been recognized as a critical part of information security at the corporate level. Leakage of customers' information brings more attention to information security behavior of organizations and the importance of a task force. Research on information breach and information security is actively conducted of personal behavior toward security threats or members of organizations who use security technology. This study aims to identify factors of influence on information security behavior of members of organizations and to empirically find out how these factors affect information security behavior through behavior toward attitude, subjective norm and perceived behavior control. On the basis of the research, this study will present effective and efficient ways to foster information security activities of members of organizations. To this end, the study presented a research model that applied significant variables based on integration of Theory of Planned Behavior (TPB) and Theory of Protection Motivation (TPM). To empirically verify this research model, the study conducted a survey of members of organizations who had security-related work experience at companies. So, it is critical for members of organizations to encourage positive word of mouth (WOM) about information security behavior. Results show that based on the integration of TPM and TPB, perceived vulnerability, perceived severity, perceived efficiency and perceived barriers of information security behavior of members of organizations had significant influences on mediating variables such as behavior toward attitude, subjective norm, perceived behavior control and intention. They also had significant influences on organization information security behavior which is a dependent variable. This study indicates companies should introduce various security solutions so that members of the organizations can prevent and respond to potential internal and external security risks. In addition, they will have to take actions to inspect vulnerability of information system and to meet security requirements such as security patches.

Turbine Blading Performance Evaluation Using Geometry Scanning and Flowfield Prediction Tools

  • Zachos, Pavlos K.;Pappa, Maria;Kalfas, Anestis I.;Mansour, Gabriel;Tsiafis, Ioannis;Pilidis, Pericles;Ohyama, Hiroharu;Watanabe, Eiichiro
    • Proceedings of the Korean Society of Propulsion Engineers Conference
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    • 2008.03a
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    • pp.89-96
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    • 2008
  • This paper investigates the effect of blade deformation, caused by manufacturing inaccuracies, on the performance of a 2-stage axial steam turbine. A high fidelity 3D coordinate Measurement Machine has been employed to obtain the exact geometrical model of the blades. A Streamline Curvature solver was used to predict the overall performance of the turbine. During the manufacturing process of the casts and of the blades themselves, several types of errors can occur which lead to a different geometry from that envisaged by the designer. The main objective of this study is to investigate the effect of those errors on the performance of a 2-stage experimental axial steam turbine. A high fidelity measurement of the actual geometry of both stator and rotor blades has been carried out, using a 3D Coordinate Measurement Machine. The cross sections of the blades obtained by the measurement were compared with those produced by the design process to evaluate the change in blade inlet/exit angles. In addition, the geometrical deviations from the initial design have been subjected to a statistical study in order to locate the nature of the error. The actual(measured) model has been used as input into a Streamline Curvature solver to evaluate its performance. Finally, a comparison with the performance plots of the original geometry has been carried out. A measurable change of efficiency as well as in the total power delivered by the turbine was found. This suggests that the accumulated error caused during the manufacturing procedure plays a significant role in the overall performance of the machine by making it less efficient by more than 1%. Reverse engineering techniques are proposed to predict and alleviate these errors leading thereby to a final design of each stage with improved performance.

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Thermal Design of Electronic for Controlling X-band Antenna of Compact Advanced Satellite (차세대 중형위성 탑재 X-밴드 안테나 구동용 전자유닛 APD 열설계 및 열해석)

  • Kim, Hye-In;You, Chang-Mok;Kang, Eun-Su;Oh, Hyun-Ung
    • Journal of Aerospace System Engineering
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    • v.12 no.1
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    • pp.57-67
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    • 2018
  • The APD (Antenna Pointing Driver) is an electronic equipment tool that is used to drive the two-axis gimbal-type antenna for the image data transmission of CAS (Compact Advanced Satellite). In this study, a heat dissipation of EEE (Electrical, Electronic and Electromechanical) is reviewed, to identify the parts that directly affected its efficiency, lifetime as well as the reliability of the structure. This event eventually incurs a failure of the EEE part itself, or even the entire satellite system as noted in experiments in this case. To guarantee reliability of electronic equipment during the mission, the junction temperature of EEE parts is considered a significant and important design factor, and subsequently must be secured within the allowable range. Therefore, the notation of the thermal analysis considering the derating is indispensable, and a proper thermal mathematical model should be constructed for this case. In this study, the thermal design and thermal analysis are performed to confirm the temperature requirement of the APD. In addition, we noted that the validity of the thermal model, according to each of the identified modeling methods, was therefore compared through the thermal analysis utilized in this case.

Watershed Water Quality Management Plan Using SWAT and Load Duration Curve (SWAT와 부하지속곡선을 이용한 유역 수질 관리방안)

  • KAL, Byung-Seok;CHO, So-Hyun;PARK, Chun-Dong;MUN, Hyun-Saing;JOO, Yong-Eun;PARK, Jae-Beom
    • Journal of the Korean Association of Geographic Information Studies
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    • v.24 no.3
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    • pp.41-57
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    • 2021
  • This study evaluated the application of water quality management measures using the SWAT model and the effectiveness of the measures using the load duration curve targeting the Seohwacheon watershed located upstream of Daecheongho. As water quality management measures, artificial wetlands, reduction of neglected livestock, reduction of runoff from greenhouses, restoration of ecological rivers, application of LID technology, and management of point sources were applied. The applied technology evaluated the efficiency of water quality improvement measures by using the target water quality excess rate and the degree of load reduction for each sulfur through the load duration curve. The load duration curve was created by creating a long-term flow duration curve using SWAT and multiplying it by the target water quality. For the target water quality, the value corresponding to the 60th percentile was set as the target water quality using the 10-year data from the Okcheoncheon water quality observation point located in the downstream of Seohwacheon. Through this study, it was possible to confirm the applicability of various water quality measures through the SWAT model, and to examine the applicability of each period according to the sulfur through the load retention curve.

Integer Programming-based Operation Sequencing for Multi-operation on Single Machine (정수계획법을 통한 다중작업 수행 단일기계에서의 작업순서 결정)

  • Park, Seonyeong;Shin, Moonsoo
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.9 no.3
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    • pp.261-270
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    • 2019
  • With the advent of the Fourth Industrial Revolution, multi-variety production in the up-to-date manufacturing environment is proceeding more rapidly whereby production planning and management have been getting more complicated. Moreover, the need to improve production efficiency through effective operation sequencing is further heightened. Fundamentally, the effective operation sequencing can reduce the set-up of the equipment, efficiently utilize the equipment, shorten the set-up time, and ultimately contribute to productivity improvement. This study deals with the problem of efficient operation sequencing in a situation where a single machine performs multiple operations. The complexity of the problem is very high when compared to the case where only one operation is performed on one machine, which is covered in most existing studies. In this paper, we propose an integer programming model to minimize the number of setups. This study aims at minimizing the number of mold replacement times in the process of processing a given production order for the wiring harness manufacturing process, which is one of the components of automobile electric field. In addition, brief case studies are presented to verify the validity of the proposed mathematical model.

Classification of Natural and Artificial Forests from KOMPSAT-3/3A/5 Images Using Deep Neural Network (심층신경망을 이용한 KOMPSAT-3/3A/5 영상으로부터 자연림과 인공림의 분류)

  • Baek, Won-Kyung;Lee, Yong-Suk;Park, Sung-Hwan;Jung, Hyung-Sup
    • Korean Journal of Remote Sensing
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    • v.37 no.6_3
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    • pp.1965-1974
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    • 2021
  • Satellite remote sensing approach can be actively used for forest monitoring. Especially, it is much meaningful to utilize Korea multi-purpose satellites, an independently operated satellite in Korea, for forest monitoring of Korea, Recently, several studies have been performed to exploit meaningful information from satellite remote sensed data via machine learning approaches. The forest information produced through machine learning approaches can be used to support the efficiency of traditional forest monitoring methods, such as in-situ survey or qualitative analysis of aerial image. The performance of machine learning approaches is greatly depending on the characteristics of study area and data. Thus, it is very important to survey the best model among the various machine learning models. In this study, the performance of deep neural network to classify artificial or natural forests was analyzed in Samcheok, Korea. As a result, the pixel accuracy was about 0.857. F1 scores for natural and artificial forests were about 0.917 and 0.433 respectively. The F1 score of artificial forest was low. However, we can find that the artificial and natural forest classification performance improvement of about 0.06 and 0.10 in F1 scores, compared to the results from single layered sigmoid artificial neural network. Based on these results, it is necessary to find a more appropriate model for the forest type classification by applying additional models based on a convolutional neural network.

An Analysis of the Determinants of Foreign Direct Investment in the Western China, 1990-2007 (중국 서부지역 외국인직접투자(FDI)의 결정요인에 관한 분석: 1990-2007 기간을 중심으로)

  • Peng, Xian-Feng;Choi, Sung-Il
    • International Area Studies Review
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    • v.15 no.3
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    • pp.471-491
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    • 2011
  • This study is to analyze the determinants of inflow FDI with panel data of 12 provinces in western region of China for the period, 1990-2007, from the perspective of market-oriented FDI and production-efficiency-oriented FDI. The empirical findings are following. First, the empirical results prior to the start of western development program show that the GRDP, the intense of industrialization and university graduates per 10,000 residents have positive coefficient signs at the significant level, while wage level has a negative and significant value. Second the empirical results using the data after the launching of the western development program show that the GRDP, the intense of industrialization have positive relations with FDI, while openness in terms of the ratio of international trade to GRDP and the wage level have negative coefficients. Finally, this thesis finds that the empirical results for both periods are very similar, which suggest that the economic structure in western region has not changed significantly even though almost a decade passed since the western development program launched.