scholarly journals Object recognition using hybrid boosting method

2016 ◽  
Author(s):  
Osama Ashfaq
Keyword(s):  
Object Recognition ◽  
Covariance Matrix ◽  
Local Region ◽  
Computational Time ◽  
Local Descriptor ◽  
Alternative Approach ◽  
Different Types ◽  
Boosting Method ◽  
Mixture Of Gaussian ◽  
Diagonal Covariance Matrix

Li (ICCV, 2005) proposed a novel generative/discriminative way to combine features with different types and use them to learn labels in the images. However, the mixture of Gaussian used in Li’s paper suffers greatly from the curse of dimensionality. Here I propose an alternative approach to generate local region descriptor. I treat GMM with diagonal covariance matrix and PCA as separate features, and combine them as the local descriptor. In this way, we could reduce the computational time for mixture model greatly while score greater 90% accuracies for caltech-4 image sets.

scholarly journals Object recognition using hybrid boosting method

2016 ◽  
Author(s):  
Osama Ashfaq
Keyword(s):  
Object Recognition ◽  
Covariance Matrix ◽  
Local Region ◽  
Computational Time ◽  
Local Descriptor ◽  
Alternative Approach ◽  
Different Types ◽  
Boosting Method ◽  
Mixture Of Gaussian ◽  
Diagonal Covariance Matrix

Li (ICCV, 2005) proposed a novel generative/discriminative way to combine features with different types and use them to learn labels in the images. However, the mixture of Gaussian used in Li’s paper suffers greatly from the curse of dimensionality. Here I propose an alternative approach to generate local region descriptor. I treat GMM with diagonal covariance matrix and PCA as separate features, and combine them as the local descriptor. In this way, we could reduce the computational time for mixture model greatly while score greater 90% accuracies for caltech-4 image sets.

scholarly journals Levels of detail analysis of microwave scattering from human head models for brain stroke detection

PeerJ ◽  
2017 ◽  
Vol 5 ◽  
pp. e4061 ◽  
Author(s):  
Awais Munawar Qureshi ◽  
Zartasha Mustansar
Keyword(s):  
Scattering Problem ◽  
Human Head ◽  
Computational Time ◽  
Head Model ◽  
Microwave Scattering ◽  
Levels Of Detail ◽  
Realistic Head Model ◽  
Different Types ◽  
Brain Stroke ◽  
Brain Tissues

In this paper, we have presented a microwave scattering analysis from multiple human head models. This study incorporates different levels of detail in the human head models and its effect on microwave scattering phenomenon. Two levels of detail are taken into account; (i) Simplified ellipse shaped head model (ii) Anatomically realistic head model, implemented using 2-D geometry. In addition, heterogenic and frequency-dispersive behavior of the brain tissues has also been incorporated in our head models. It is identified during this study that the microwave scattering phenomenon changes significantly once the complexity of head model is increased by incorporating more details using magnetic resonance imaging database. It is also found out that the microwave scattering results match in both types of head model (i.e., geometrically simple and anatomically realistic), once the measurements are made in the structurally simplified regions. However, the results diverge considerably in the complex areas of brain due to the arbitrary shape interface of tissue layers in the anatomically realistic head model.After incorporating various levels of detail, the solution of subject microwave scattering problem and the measurement of transmitted and backscattered signals were obtained using finite element method. Mesh convergence analysis was also performed to achieve error free results with a minimum number of mesh elements and a lesser degree of freedom in the fast computational time. The results were promising and the E-Field values converged for both simple and complex geometrical models. However, the E-Field difference between both types of head model at the same reference point differentiated a lot in terms of magnitude. At complex location, a high difference value of 0.04236 V/m was measured compared to the simple location, where it turned out to be 0.00197 V/m. This study also contributes to provide a comparison analysis between the direct and iterative solvers so as to find out the solution of subject microwave scattering problem in a minimum computational time along with memory resources requirement.It is seen from this study that the microwave imaging may effectively be utilized for the detection, localization and differentiation of different types of brain stroke. The simulation results verified that the microwave imaging can be efficiently exploited to study the significant contrast between electric field values of the normal and abnormal brain tissues for the investigation of brain anomalies. In the end, a specific absorption rate analysis was carried out to compare the ionizing effects of microwave signals to different types of head model using a factor of safety for brain tissues. It is also suggested after careful study of various inversion methods in practice for microwave head imaging, that the contrast source inversion method may be more suitable and computationally efficient for such problems.

Multilinear Supervised Neighborhood Embedding of a Local Descriptor Tensor for Scene/Object Recognition

2012 ◽  
Vol 21 (3) ◽  
pp. 1314-1326 ◽  
Author(s):  
Xian-Hua Han ◽  
Yen-Wei Chen ◽  
Xiang Ruan
Keyword(s):  
Object Recognition ◽  
Local Descriptor ◽  
Scene Object

AFM-Based Nanoindentation Process: A Comparative Study

2012 ◽  
Author(s):  
Rapeepan Promyoo ◽  
Hazim El-Mounayri ◽  
Kody Varahramyan
Keyword(s):  
Md Simulation ◽  
Computational Models ◽  
Surface Deformation ◽  
Experimental Results ◽  
Computational Time ◽  
Machined Surface ◽  
Indentation Force ◽  
Subsurface Deformation ◽  
Different Types ◽  
Copper Aluminum

Atomic force microscopy (AFM) has been widely used for nanomachining and fabrication of micro/nanodevices. This paper describes the development and validation of computational models for AFM-based nanomachining. Molecular Dynamics (MD) technique is used to model and simulate mechanical indentation at the nanoscale for different types of materials, including gold, copper, aluminum, and silicon. The simulation allows for the prediction of indentation forces at the interface between an indenter and a substrate. The effects of tip materials on machined surface are investigated. The material deformation and indentation geometry are extracted based on the final locations of the atoms, which have been displaced by the rigid tool. In addition to the modeling, an AFM was used to conduct actual indentation at the nanoscale, and provide measurements to which the MD simulation predictions can be compared. The MD simulation results show that surface and subsurface deformation found in the case of gold, copper and aluminum have the same pattern. However, aluminum has more surface deformation than other materials. Two different types of indenter tips including diamond and silicon tips were used in the model. More surface and subsurface deformation can be observed for the case of nanoindentation with diamond tip. The indentation forces at various depths of indentation were obtained. It can be concluded that indentation force increases as depth of indentation increases. Due to limitations on computational time, the quantitative values of the indentation force obtained from MD simulation are not comparable to the experimental results. However, the increasing trends of indentation force are the same for both simulation and experimental results.

scholarly journals Three-point linkage analysis in crosses of allogamous plant species

1998 ◽  
Vol 72 (2) ◽  
pp. 111-121 ◽  
Author(s):  
M. S. RIDOUT ◽  
S. TONG ◽  
C. J. VOWDEN ◽  
K. R. TOBUTT
Keyword(s):  
Linkage Analysis ◽  
Computer Program ◽  
Plant Species ◽  
General Type ◽  
Diploid Plant ◽  
Systematic Account ◽  
Alternative Approach ◽  
Different Types ◽  
The Many ◽  
Map Function

Ritter & Salamini (1996) presented a systematic account of two-point linkage analysis in allogamous diploid plant species. Vowden et al. (1995) described an alternative approach that is implemented in a computer program LINKEM. This paper describes how the latter approach has been extended to three-point linkage analysis, and implemented in a new program LINK3EM that is available from the authors. The essence of the approach is for the computer program to derive the appropriate form of analysis for a specific cross from its ‘knowledge’ of the most general type of cross that can arise. This avoids the need for programming specific codes for the many different types of cross that can arise. The program allows different locus orderings and parental phases to be compared. The Haldane or Kosambi map functions can be specified, although it is also possible to estimate all three pairwise recombination fractions without any assumed map function.

Vascular access

2020 ◽  
pp. 43-69
Author(s):  
Andrew Mitchell ◽  
Giovanni Luigi De Maria ◽  
Adrian Banning
Keyword(s):  
Cardiac Catheterization ◽  
Vascular Access ◽  
Oral Anticoagulants ◽  
Direct Oral Anticoagulants ◽  
Venous Access ◽  
Seldinger Technique ◽  
Access Route ◽  
Arterial Access ◽  
Alternative Approach ◽  
Different Types

This chapter discusses different types of vascular access in cardiac catheterization. It starts by describing the Seldinger technique, then goes on to explain which arterial access route to use, including difficulties and reasons for choosing an alternative approach and trends in vascular access. The ways of obtaining arterial access (both radial and femoral) are covered, and venous access is examined for the femoral, internal jugular, and subclavian veins. Anticoagulation issues including warfarin and direct oral anticoagulants are then discussed, and the chapter ends by describing compression devices and arterial closure devices.

scholarly journals Calibration of Circulating Tumor Cell’s Model in Narrow Flow

2019 ◽  
Vol 213 ◽  
pp. 02006
Author(s):  
Alžbeta Bohiniková ◽  
Katarína Bachratá
Keyword(s):  
Breast Cancer ◽  
Laboratory Experiment ◽  
Cancer Cell ◽  
Breast Cancer Cell ◽  
Flow Rate ◽  
Volumetric Flow Rate ◽  
Computational Time ◽  
Elastic Parameters ◽  
Entry Time ◽  
Different Types

In this article our objective was to calibrate model of Circulating Tumor Cell (CTC). Different types of cancer produce different types of CTCs. For research purposes, we chose to set up the model according to MCF7 breast cancer cell lines, due to the availability of data from laboratory experiments. First, to obtain working model we used mechanics of our already existing RBC model, taking into consideration the differences between RBC and CTC. Next step was to find values for the elastic parameters of the cell model. We have chosen laboratory experiment where the deformability of breast cancer cell passing through narrow microfluidic channel was examined. The channel has similar dimensions as blood capillaries to mimic the in vivo environment. In order to achieve similar behavior of the cell’s model and the real cell in the experiment we needed to set fluid flow according to experimental data. This was achieved by adjusting the fluid force that is dependent on the volumetric flow rate. Due to the long computational time of the simulation we devised a function between the entry time and the volumetric flow rate. Afterwards we also found dependencies between the changes in elastic parameters and entry time, and we were able to set the elastic parameters so they mimic the behaviour from the laboratory experiment. Further work lies in validating these results.

scholarly journals Organizing ERP research: a knowledge-centric approach

2016 ◽  
Vol 29 (6) ◽  
pp. 919-940 ◽  
Author(s):  
Farzaneh Amani ◽  
Adam Fadlalla
Keyword(s):  
Enterprise Resource Planning ◽  
Design Methodology ◽  
Resource Planning ◽  
Temporal Dimension ◽  
Scholarly Journals ◽  
Content Type ◽  
Alternative Approach ◽  
Different Types ◽  
Practical Implications ◽  
Insight Into

Purpose The purpose of this paper is to gain insight into enterprise resource planning (ERP) research by framing ERP intellectual contributions using a knowledge-centric taxonomy that was originally proposed as an organizing framework for classifying conceptual contributions in marketing. Thus the paper provides a better understanding of existing gaps and future opportunities in ERP research. Design/methodology/approach Using MacInnis framework, the authors classified a sample of 300 ERP articles published during the period 2000-2014 into a topology of four generic contributions types and eight sub-types. Findings The findings indicate that whereas the explicating type received the most attention by researches, the debating type received the least. It also seems that there is a temporal dimension to the different types of conceptual contributions. Identification of usefulness of the ERP systems to business was not addressed as would have been predicted by the build-evaluate lens of March and Smith framework. Research limitations/implications The main limitation of this research is that only used articles from scholarly journals, and did not include conference proceedings, books, and other outlets. Another limitation is that the search criteria was title-based, which may have missed some relevant papers. Research implications include highlighting the importance of a knowledge-centric view of ERP research, and practical implications include the call for robust measurement criteria for ERP benefits and rigorous ERP comparison schemes. Originality/value The main contribution is providing an alternative approach to framing the ERP intellectual contributions. The proposed taxonomy revealed major areas of focus and opportunities for future ERP research emphasis. To the best of the authors’ knowledge, this is the first instantiation of MacInnis framework into ERP research.

AN ABDUCTIVE REASONING BASED IMAGE INTERPRETATION SYSTEM

1996 ◽  
Vol 10 (06) ◽  
pp. 613-641
Author(s):  
SANTANU CHAUDHURY ◽  
ARBIND GUPTA ◽  
GUTURU PARTHASARATHY ◽  
S. SUBRAMANIAN
Keyword(s):  
Object Recognition ◽  
Domain Knowledge ◽  
A Priori ◽  
Image Interpretation ◽  
Abductive Reasoning ◽  
Recognition Problem ◽  
Aerial Image ◽  
Interpretation System ◽  
Different Types

This paper describes an abductive reasoning based inferencing engine for image interpretation. The inferencing strategy finds an acceptable and consistent explanation of the features detected in the image in terms of the objects known a priori. The inferencing scheme assumes representation of the domain knowledge about the objects in terms of local and/or relational features. The inferencing system can be applied for different types of image interpretation problems like 2-D and 3-D object recognition, aerial image interpretation, etc. In this paper, we illustrate functioning of the system with the help of a 2-D object recognition problem.

Design of a Model-Based Robot Vision VLSI Processor

1994 ◽  
Vol 6 (2) ◽  
pp. 131-136
Author(s):  
Yoshifumi Sasaki ◽  
◽  
Michitaka Kameyama
Keyword(s):  
Object Recognition ◽  
High Performance ◽  
Vision System ◽  
Robot Vision ◽  
Parallel Architecture ◽  
Computation Time ◽  
Input Image ◽  
Position Estimation ◽  
Computational Time ◽  
Model Matching

For intelligent robots, a robot vision system is usually required to perform three-dimensional (3-D) position estimation as well as object recognition at high speeds. In this paper, we propose an algorithm for 3-D object recognition and position estimation for the implementation of a VLSI processor The principle of the algorithm is based on model matching between an input image and models stored in memory. Because of enormous computation time, the development of a high-performance VLSI processor is essential. Highly parallel architecture is introduced in the VLSI processor to reduce the latency. As a result of highly parallel computing, the computational time is 10000 times faster than that of a 28.5 MIPS workstation.

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