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Algorithms for external tracking of an AUV

Ambal Matos, Nuno Cruz
2004 IFAC Proceedings Volumes  
In this paper we describe the algorithms used in the external tracking system of the Isurus AUV.  ...  The tracking algorithms described here are able to reject highly erroneous measurements, producing position estimates with a satisfactory degree of accuracy. Copyright c 2004 IFAC  ...  In this paper with describe the algorithms used in the external tracking of the Isurus AUV.  ... 
doi:10.1016/s1474-6670(17)31979-1 fatcat:c3lai6oxojgo5h73rznlcp7arq

An M -Matrix Based Efficient Algorithm for Model Predictive Control of Input Constrained Linear Systems

Yutaka Saitou, Jun-ichi Imura
2004 IFAC Proceedings Volumes  
Thus, next, a new algorithm for the case of both-side input constraints is proposed in this paper. Copyright c 2004 IFAC  ...  algorithm than the other general algorithms such as the Lemke method.  ...  Thus, next, an new algorithm for the case of both-side input constraints is proposed.  ... 
doi:10.1016/s1474-6670(17)31698-1 fatcat:46chh5mah5beri5u2py6j2ju4u

Identification of Yield Coefficients in an E.coli Model – An Optimal Experimental Design Using Genetic Algorithms

Ana C.A. Veloso, I. Rocha, E.C. Ferreira
2004 IFAC Proceedings Volumes  
A genetic algorithm is proposed as the optimisation method due to its efficiency and independence on the initial values.  ...  An optimal experimental design for yield coefficients estimation in an unstructured growth model of fed-batch fermentation of E. coli is presented.  ...  This is equivalent to minimizing the geometric mean of estimation error and the volume of the uncertainty ellipsoids.  ... 
doi:10.1016/s1474-6670(17)32557-0 fatcat:cfzd6iganzehhiw72r34lcsyma

An Examination of Emotion Recognition using Machine Learning Algorithms on Different Speech Databases

The speech recognition system plays a vital role in understanding the emotions of natural language. The identification of emotions from speech is a challenging task.  ...  On the resultant features of speech applied crossvalidation using the test emotions. The performance of the proposed system verify with the SVM and other two classifiers.  ...  The various classification algorithms and techniques play vital in classifications of these emotional patterns.  ... 
doi:10.35940/ijitee.d1009.0394s220 fatcat:xetdyl7xg5agbahgvsuklmv7wa

Design of an Energy Efficient Cluster based Localization Algorithm (EECBLA) for Underwater Wireless Sensor Networks

To overcome these problems we propose an Energy Efficient Cluster Based Localization Algorithm (EECBLA) to minimize the energy utilization and identify an accurate location of the sensor nodes.  ...  Hence there is an evolving requirement for energy efficient localization algorithm.  ...  The simulation of the proposed algorithm is done in Mat lab with 20 sensor node deployed in a range of 100m * 100m and the localization error equals to 24%.  ... 
doi:10.35940/ijitee.g4861.059720 fatcat:xtzdl4rfgbarpafa5sdiqtgcau

A New Algorithm to Estimate Urine Volume from 3D Ultrasound Bladder Images
3D 초음파 영상에서 방광 내 잔뇨량 추정을 위한 새로운 알고리즘

Tae Sik Cho, Soo Yeol Lee, Min Hyoung Cho
2016 Journal of Biomedical Engineering Research  
We developed a new robust volume estimation algorithm which is not computationally expensive. We tested the algorithm on a lab-built ultrasound bladder phantom and volunteers.  ...  However, urine volume estimation from 3D ultrasound images is prone to big errors and inconsistency because of low spatial resolution and low signal-to-noise ratio of ultrasound images.  ...  Fig. 6 . 6 (a) Profile of pixel values in the center region, (b) Profile of pixel values in the lateral region. Fig. 8 . 8 Model of bladder volume estimation.  ... 
doi:10.9718/jber.2016.37.1.31 fatcat:e7tyrd6acrevjn2bpnodudaad4

ALEVIN - A Framework to Develop, Compare, and Analyze Virtual Network Embedding Algorithms

Andreas Fischer, Juan Felipe Botero, Michael Duelli, Daniel Schlosser, Xavier Hesselbach, Hermann De Meer
2011 Electronic Communications of the EASST  
Several algorithms attempting to solve this problem have been discussed in the literature, so far. However, comparison of VNE algorithms is hard, as each algorithm focuses on different criteria.  ...  To that end, we introduce a framework to compare different algorithms according to a set of metrics, which allow to evaluate the algorithms and compute their results on a given scenario for arbitrary parameters  ...  / 12 Volume X (2011) Figure 3 : Illustration of parameter categories and their application.  ... 
doi:10.14279/tuj.eceasst.37.495 dblp:journals/eceasst/FischerBDSHM11 fatcat:s2fz4qrvvvht5lyqozq7vrtiz4

Computer-aided measurement of liver volumes in CT by means of geodesic active contour segmentation coupled with level-set algorithms

Kenji Suzuki, Ryan Kohlbrenner, Mark L. Epstein, Ademola M. Obajuluwa, Jianwu Xu, Masatoshi Hori
2010 Medical Physics (Lancaster)  
The purpose of this study was to develop a computeraided measurement of liver volumes in hepatic CT.  ...  Results: The mean liver volume obtained with our scheme was 1504 cc, whereas the mean gold standard manual volume was 1457 cc, resulting in a mean absolute difference of 105 cc ͑7.2%͒.  ...  This algorithm is a simplified, efficient version ͑or a special case͒ of general level-set algorithms.  ... 
doi:10.1118/1.3395579 pmid:20527550 pmcid:PMC2874039 fatcat:add5tbtybfa3ldyt4skkg447su

MO012: Development of an Accurate Automated Segmentation Algorithm to Measure Total Kidney Volume in ADPKD Suitable for Clinical Application (The Cystvas Study)

Jonathan Taylor, Richard Thomas, Peter Metherall, Albert Ong, Roslyn Simms
2022 Nephrology, Dialysis and Transplantation  
BACKGROUND AND AIMS A major barrier to the routine adoption of total kidney volume (TKV) as a clinical biomarker of disease for autosomal dominant polycystic disease (ADPKD) is the significant human operator  ...  Use of the algorithm as a first pass segmentation, with subsequent checking and editing by an operator, would significantly reduce human input time to a few minutes per case CONCLUSION Our new algorithm  ...  BACKGROUND AND AIMS: A major barrier to the routine adoption of total kidney volume (TKV) as a clinical biomarker of disease for autosomal dominant polycystic disease (ADPKD) is the significant human operator  ... 
doi:10.1093/ndt/gfac061.007 fatcat:2y6yp4wruvddhpvin63yr5usde

Empirical Evaluation of Threshold, Time, Volume, and Distance Constraint Algorithm for Redundant and Non-Redundant (TTVDCA-RNR) Dynamic Data Allocation in Distributed Database Systems

Raju Kumar, Neena Gupta
2018 International Journal on Computer Science and Engineering  
To study the efficiency of the algorithm TTVDCA-RNR over other similar algorithm, a sample distributed database is used.  ...  The key idea of this paper is to empirically evaluate the performance of the algorithm TTVDCA-RNR for dynamic data allocation in distributed database system (DDS).  ...  The records of Access_log table at site S1 are taken in such a way that average volume of data transferred between fragment F1 and site S4, is greater than, the average volume of data transferred between  ... 
doi:10.21817/ijcse/2018/v10i1/181001014 fatcat:si7le72hqvflbftaxkokdqjk2e

Correlation analysis of epicardial adipose tissue volume quantified by computed tomography images and coronary heart disease under optimized reconstruction algorithm

Zhenwei Miao, Hongyan Yang, Bofen Liu, Wengui Li
The optimized OSEM algorithm was used to improve the reconstruction quality of low-dose CT images and used in quantitative measurement of epicardial fat volume.  ...  The results showed that the iteration time and error of the improved OSEM reconstruction algorithm were better than that of MLEM algorithm under the same number of iterations.  ...  quantitative measurement of the total volume of EAT.  ... 
doi:10.12669/pjms.37.6-wit.4882 pmid:34712305 pmcid:PMC8520373 fatcat:4lxnbe4nprgkdfphzfweehjrkm

Structured learning algorithm for detection of nonobstructive and obstructive coronary plaque lesions from computed tomography angiography

Dongwoo Kang, Damini Dey, Piotr J. Slomka, Reza Arsanjani, Ryo Nakazato, Hyunsuk Ko, Daniel S. Berman, Debiao Li, C.-C. Jay Kuo
2015 Journal of Medical Imaging  
for arterial lesions in each small volume patch by SVM algorithm.  ...  One of the base decisions is the support vector machine (SVM) based learning algorithm, which divides each artery into small volume patches and integrates several quantitative geometric and shape features  ...  Details of the algorithms were published in Refs. 36 and 37 and are not repeated here.  ... 
doi:10.1117/1.jmi.2.1.014003 pmid:26158081 pmcid:PMC4478984 fatcat:zf223pok5zckdnyiqegbklg4dq

Subject index, volume 17, 1997

1997 International Journal of Approximate Reasoning  
Probabilistic reasoning belief updating in Bayes nets, 17:191 maximum entropy inference process, 17:77 Probability network, increased robustness of Bayesian network, 17:37 Recovery algorithm,  ...  :239 Bounds propagation, efficient, Bayesian networks extension to probability intervals, 17:37 Cascaded genetic algorithm, fuzzy-system design improvement, 17:351 Chain graph, recovery algorithm  ... 
doi:10.1016/s0888-613x(97)00061-3 fatcat:76zysbtsfjfb3mhqs2sfia5pvu


Emmanuel Umeagu, Smart Osadebamwen Osarenogowu, Peter Onyedikachi Ibemesi, Osayamen Julius Imarhiagbe
2020 International Journal of Engineering Applied Sciences and Technology  
A combination of the deterministic algorithm gave a single estimated and more pessimistic volume.  ...  However, the choice of geostatistical algorithm for building the model depend on development and production maturity, degree of reservoir heterogeneity and the type, quality and amount of data.  ...  36 46 63 TGS_SGS 38 64 73 KRIG_KRIG 37 37 37  ... 
doi:10.33564/ijeast.2020.v04i11.095 fatcat:ks25wud47vdstmsj5fgfw4xun4

On the generation of RVE-based models of composites reinforced with long fibres or spherical particles

G. Catalanotti
2016 Composite structures  
The algorithm is fast, able to represent the randomness of the material and to generate RVEs with any volume fraction, from 0 to its highest theoretical value, i.e. π 3 √ 2 ≈ 0.74 and π √ 3 6 ≈ 0.91 for  ...  It was concluded that the proposed algorithm can be used to generate statistically representative distributions of uniform particles.  ...  Analysis of a threedimensional point pattern with replication. Journal of the Royal Statistical Society.  ... 
doi:10.1016/j.compstruct.2015.11.039 fatcat:uki3gymuwjgl5nilqp4uad2kia
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