• Title/Summary/Keyword: $G^E$ models

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Survey of nonlinear state estimation in aerospace systems with Gaussian priors

  • Coelho, Milca F.;Bousson, Kouamana;Ahmed, Kawser
    • Advances in aircraft and spacecraft science
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    • v.7 no.6
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    • pp.495-516
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    • 2020
  • Nonlinear state estimation is a desirable and required technique for many situations in engineering (e.g., aircraft/spacecraft tracking, space situational awareness, collision warning, radar tracking, etc.). Due to high standards on performance in these applications, in the last few decades, there was an increasing demand for methods that are able to provide more accurate results. However, because of the mathematical complexity introduced by the nonlinearities of the models, the nonlinear state estimation uses techniques that, in practice, are not so well-established which, leads to sub-optimal results. It is important to take into account that each method will have advantages and limitations when facing specific environments. The main objective of this paper is to provide a comprehensive overview and interpretation of the most well-known methods for nonlinear state estimation with Gaussian priors. In particular, the Kalman filtering methods: EKF (Extended Kalman Filter), UKF (Unscented Kalman Filter), CKF (Cubature Kalman Filter) and EnKF (Ensemble Kalman Filter) with an aerospace perspective.

Process Modeling System of a Combined Cycle Plant for Steady State Simulation with Model Based Approach (수학적 모델링 방법에 기초한 복합발전 공정의 정상상태 모사시스템 개발)

  • Kim, Shin Hyuk;Hwang, Lee Si;Joo, Yong Jin;Lee, Sang Uk;Shon, Byung Mo;Oh, Min
    • Korean Chemical Engineering Research
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    • v.53 no.5
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    • pp.545-552
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    • 2015
  • Process modeling and simulation is a powerful methodology to quantitatively predict the change of process variables when operating and design conditions are changed. In this study, considering drawbacks of currently used process simulator for combined cycle plants, we developed process modeling system equipped with an ease of use and flexibility for model development. For this purpose, the analysis of combined cycle processes was carried out and consequently, mathematical models and libraries were developed. Furthermore, in view of the fact that the level of the abstraction of process models depends on the purpose of simulation as well as the available data, simple and rigorous models were also developed for some important units. In use of reference combined plant, we executed process simulation using the developed modeling system and the comparison was made between the results of simulation and the reference data. Less than 1% marginal error was identified and we concluded that the modeling system can be applied for commercial combined cycle processes.

The Product Recommender System Combining Association Rules and Classification Models: The Case of G Internet Shopping Mall (연관규칙기법과 분류모형을 결합한 상품 추천 시스템: G 인터넷 쇼핑몰의 사례)

  • Ahn, Hyun-Chul;Han, In-Goo;Kim, Kyoung-Jae
    • Information Systems Review
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    • v.8 no.1
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    • pp.181-201
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    • 2006
  • As the Internet spreads, many people have interests in e-CRM and product recommender systems, one of e-CRM applications. Among various approaches for recommendation, collaborative filtering and content-based approaches have been investigated and applied widely. Despite their popularity, traditional recommendation approaches have some limitations. They require at least one purchase transaction per user. In addition, they don't utilize much information such as demographic and specific personal profile information. This study suggests new hybrid recommendation model using two data mining techniques, association rule and classification, as well as intelligent agent to overcome these limitations. To validate the usefulness of the model, it was applied to the real case and the prototype web site was developed. We assessed the usefulness of the suggested recommendation model through online survey. The result of the survey showed that the information of the recommendation was generally useful to the survey participants.

Effects of Nature Herb Mixture Containing Laminaria japonica Areschoung on Fine Dust-induced Bronchitis in Mice (미세먼지로 유도된 기관지염증에 다시마가 함유된 복합물의 효과)

  • Han, Su-Hyun;Joo, In-Hwan;Lee, Su-Bin;Kim, Dong-Hee;Hyun, Ju-Myung;Park, Jong-Min
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.34 no.5
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    • pp.245-254
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    • 2020
  • The purpose of this study was to investigate the effects of natural herb mixture containing Laminaria japonica Areschoung (LAM) on fine dust-induced bronchitis in mice. Laminaria japonica Areschoung is main content of LAM, which is including fucoidan. Fucoidan extracted from phaophyta is known to prevent bronchitis and to defend against bacteria and virus infection. In this study, we experienced the effect of LAM on bronchitis and investigated gene expressions (e.g ; IL-8, COX-2, MCP-1) and bio-markers (e.g ; IL-8, PGE2, MUC5AC) associated with bronchitis by using A549 cells. Also, we investigated whether LAM can suppress the bronchitis in fine dust-induced animal models. We injected fine dust (50 ㎕) twice as INT (Intra-Nasal-Trachea) method. Then LAM (200 mg/kg and 400 mg/kg) were oral administered for 14 days. We analyzed the number of immune cells, immunoglobulin E, bio-markers level associated with bronchitis. LAM significantly decreased bio-marker (IL-1β, IL-6, IL-8, TNF-α, Histamine, PGE2), immune cells (white blood cell, neutrophil, lymphocyte, monocyte), and immunoglobulin E, that are increased by fine dust. Taken together, this study suggest that LAM can be used as effective herbal extract for bronchitis.

Comparison of three boosting methods in parent-offspring trios for genotype imputation using simulation study

  • Mikhchi, Abbas;Honarvar, Mahmood;Kashan, Nasser Emam Jomeh;Zerehdaran, Saeed;Aminafshar, Mehdi
    • Journal of Animal Science and Technology
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    • v.58 no.1
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    • pp.1.1-1.6
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    • 2016
  • Background: Genotype imputation is an important process of predicting unknown genotypes, which uses reference population with dense genotypes to predict missing genotypes for both human and animal genetic variations at a low cost. Machine learning methods specially boosting methods have been used in genetic studies to explore the underlying genetic profile of disease and build models capable of predicting missing values of a marker. Methods: In this study strategies and factors affecting the imputation accuracy of parent-offspring trios compared from lower-density SNP panels (5 K) to high density (10 K) SNP panel using three different Boosting methods namely TotalBoost (TB), LogitBoost (LB) and AdaBoost (AB). The methods employed using simulated data to impute the un-typed SNPs in parent-offspring trios. Four different datasets of G1 (100 trios with 5 k SNPs), G2 (100 trios with 10 k SNPs), G3 (500 trios with 5 k SNPs), and G4 (500 trio with 10 k SNPs) were simulated. In four datasets all parents were genotyped completely, and offspring genotyped with a lower density panel. Results: Comparison of the three methods for imputation showed that the LB outperformed AB and TB for imputation accuracy. The time of computation were different between methods. The AB was the fastest algorithm. The higher SNP densities resulted the increase of the accuracy of imputation. Larger trios (i.e. 500) was better for performance of LB and TB. Conclusions: The conclusion is that the three methods do well in terms of imputation accuracy also the dense chip is recommended for imputation of parent-offspring trios.

Prokinetic Activity of Ethanolic Extracts from Dried Citrus unshiu Peels in Mice (귤나무 과피 유래 한약재 주정 추출물의 위장관 운동 촉진 효과)

  • Lee, Hyun-Tai
    • Journal of Life Science
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    • v.24 no.3
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    • pp.260-265
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    • 2014
  • Dried Citrus unshiu peels (Aurantii Nobilis Pericarpium; ANP) are used as a traditional folk medicine for the treatment of gastrointestinal (GI) motility disorders in East Asia, including Korea. In the present study, an ethanolic extract of ANP (ANP-E) exhibited no significant toxicity in mice, even at an oral dose of 5 g/kg. The effects of ANP-E on GI motor function were investigated by measuring the intestinal transit rate (ITR) of Evans blue in normal mice and mice with experimental GI motility dysfunction (i.e., peritoneal irritation by acetic acid; PIA). In normal mice, ANP-E significantly increased the ITR in a dose-dependent manner. The ITR in the PIA mice was significantly retarded compared to that in the normal mice. However, ANP-E significantly inhibited this retardation in a dose-dependent manner. Furthermore, in all the models, the potency of ANP-E appeared to be same or higher than that of cisapride, which was used predominantly for the treatment of various GI motility disorders in humans in the 1900s but was removed from the market in 2000 due to fatal side effects. The results suggest that ANP-E has potential as a new prokinetic agent that could be used as a substitute for cisapride.

Mitochondrial superoxide anion (O2·-) inducible "mev-1" animal models for aging research

  • Ishii, Takamasa;Miyazawa, Masaki;Hartman, Phil S.;Ishii, Naoaki
    • BMB Reports
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    • v.44 no.5
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    • pp.298-305
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    • 2011
  • Most intracellular reactive oxygen species (ROS), especially superoxide anion ($O_2^{{\bullet}_-}$) that is converted from oxygen, are overproduced by excessive electron leakage from the mitochondrial respiratory chain. Intracellular oxidative stress that damages cellular components can contribute to lifestyle-related diseases such as diabetes and arteriosclerosis, and age-related diseases such as cancer and neuronal degenerative diseases. We have previously demonstrated that the excessive mitochondrial $O_2^{{\bullet}_-}$ production caused by SDHC mutations (G71E in C. elegans, I71E in Drosophila and V69E in mouse) results in premature death in C. elegans and Drosophila, cancer in mouse embryonic fibroblast cells and infertility in transgenic mice. SDHC is a subunit of mitochondrial complex II. In humans, it has been reported that mutations in SDHB, SDHC or SDHD often result in inherited head and neck paragangliomas (PGLs). Recently, we established Tet-mev-1 conditional transgenic mice using our uniquely developed Tet-On/Off system, which equilibrates transgene expression to endogenous levels. These mice experienced mitochondrial respiratory chain dysfunction that resulted in $O_2^{{\bullet}_-}$ overproduction. The mitochondrial oxidative stress caused excessive apoptosis leading to low birth weight and growth retardation in the neonatal developmental phase in Tet-mev-1 mice. Here, we briefly describe the relationships between mitochondrial $O_2^{{\bullet}_-}$ and aging phenomena in mev-1 animal models

Simulation of Dynamic Behavior of Glucose- and Tryptophan-Grown Escherichia coli Using Constraint-Based Metabolic Models with a Hierarchical Regulatory Network

  • Lee Sung-Gun;Kim Yu-Jin;Han Sang-Il;Oh You-Kwan;Park Sung-Hoon;Kim Young-Han;Hwang Kyu-Suk
    • Journal of Microbiology and Biotechnology
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    • v.16 no.6
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    • pp.993-998
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    • 2006
  • We earlier suggested a hierarchical regulatory network using defined modeling symbols and weights in order to improve the flux balance analysis (FBA) with regulatory events that were represented by if-then rules and Boolean logic. In the present study, the simulation results of the models, which were developed and improved from the previou model by incorporating a hierarchical regulatory network into the FBA, were compared with the experimental outcome of an aerobic batch growth of E. coli on glucose and tryptophan. From the experimental result, a diauxic growth curve was observed, reflecting growth resumption, when tryptophan was used as an alternativee after the supply of glucose was exhausted. The model parameters, the initial concentration of substrates (0.92 mM glucose and 1 mM tryptophan), cell density (0.0086 g biomass/1), the maximal uptake rates of substrates (5.4 mmol glucose/g DCW h and 1.32 mmol tryptophan/g DCW h), and lag time (0.32 h) were derived from the experimental data for more accurate prediction. The simulation results agreed with the experimental outcome of the temporal profiles of cell density and glucose, and tryptophan concentrations.

Analysis of Absolute Sea-level Changes around the Korean Peninsula by Correcting for Glacial Isostatic Adjustment (후빙기조륙운동 보정을 통한 한반도 주변 해역의 절대해수면 변화 분석)

  • Kim, Kyeong-Hui;Park, Kwan-Dong;Lim, Chae-Ho;Han, Dong-Hoon
    • Journal of the Korean earth science society
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    • v.32 no.7
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    • pp.719-731
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    • 2011
  • Based on the ICE-3G and ICE-5G ice models, we predicted the velocities of crustal uplift caused by Glacial Isostatic Adjustment (GIA) at 39 tide gauge sites operated by Korea Hydrographic and Oceanographic Administration (KHOA). We also divided the Korean peninsula in the ranges of $32-38.5^{\circ}N$ and $124-132^{\circ}E$ in $0.5^{\circ}{\times}0.5^{\circ}$ grids, and computed the GIA velocities at each grid point. We found that the average uplift rates due to GIA in South Korea were 0.33 and 1.21 mm/yr for ICE-3G and ICE-5G, respectively. Because the GIA rates were relatively high at ~1 mm/yr when the updated ice model ICE-5G was used, we concluded that the GIA effect cannot be neglected when we compute the absolute sea level (ASL) rates around the Korean peninsula. In this study, we corrected the ICE-5G GIA velocities from the relative sea level rates provided by KHOA and we computed the ASL rates at 13 tide gauge stations. As a result, we found that the average ASL velocity around the Korean peninsula was 5.04 mm/yr. However, the ASL rates near Jeju island were abnormally higher than the other areas and the average was 8.84 mm/yr.

New thyroid models for ICRP pediatric mesh-type reference computational phantoms

  • Yeon Soo Yeom ;Chansoo Choi ;Bangho Shin ;Suhyeon Kim ;Haegin Han ;Sungho Moon ;Gahee Son;Hyeonil Kim;Thang Tat Nguyen;Beom Sun Chung;Se Hyung Lee ;Chan Hyeong Kim
    • Nuclear Engineering and Technology
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    • v.54 no.12
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    • pp.4698-4707
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    • 2022
  • As part of the ICRP Task Group 103 project, we developed ten thyroid models for the pediatric mesh-type reference computational phantoms (MRCPs). The thyroid is not only a radiosensitive target organ needed for effective dose calculation but an important source region particularly for radioactive iodines. The thyroid models for the pediatric MRCPs were constructed by converting those of the pediatric voxel-type reference computational phantoms (VRCPs) in ICRP Publication 143 to a high-quality mesh format, faithfully maintaining their original topology. At the same time, we improved several anatomical parameters of the thyroid models for the pediatric MRCPs, including the mass, overlying tissue thickness, location, and isthmus dimensions. Absorbed doses to the thyroid for the pediatric MRCPs for photon external exposures were calculated and compared with those of the pediatric VRCPs, finding that the differences between the MRCPs and VRCPs were not significant except for very low energies (<0.03 MeV). Specific absorbed fractions (target ⟵ thyroid) for photon internal exposures were also compared, where significant differences were frequently observed especially for the target organs/tissues close to the thyroid (e.g., a factor of ~1.2-~327 for the thymus as a target) due mainly to anatomical improvement of the MRCP thyroid models.