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32nd Chinese Control And Decision Conference (CCDC)

作者： Zhu Haijie Li Jiafeng Cheng Sifan Qin Linlin Univ Sci & Technol China Dept Automat Hefei 230024 Peoples R China

ISBN: (数字)9781728158556

ISBN: (纸本)9781728158556

The ORB, SIFT, and SURF algorithms are currently common feature matching algorithms. These three algorithms have certain differences in execution speed and matching robustness. In this paper, the data sets provided by Mikolajczyk and Schmid are used to compare the algorithms in terms of execution speed, image transformation robustness, and noise robustness. The conclusion of this paper is that the ORB algorithm is the fastest, the SURF algorithm is the most robust, and the SIFT algorithm has the most feature points.

关键词： ORB SIFT SURF Feature Matching algorithm comparison

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The linear random forest algorithm and its advantages in machine learning assisted logging regression modeling

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JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING 2019年 174卷 776-789页

作者： Ao, Yile Li, Hongqi Zhu, Liping Ali, Sikandar Yang, Zhongguo China Univ Petr Beijing Peoples R China North China Univ Technol Beijing Peoples R China

Direct measurements of formation properties such as the shale volume, porosity, permeability, and fluid saturation are often accompanied by expensive cost and are time-consuming too. Well logging inversion provides an alternative way for the determination of formation properties. Compared to traditional theoretical models or formalized empirical fitted models, machine learning assisted logging regression modeling is more accurate and objective. Several machine learning regression algorithms such as neural networks, support vector regression, fuzzy logic, k nearest neighbors regression, multivariate adaptive regression spline, and random forest have already been applied. In this article, we present the Linear Random Forest algorithm and investigate its application in logging regression modeling. By systematic comparison with 8 other algorithms including least squared linear regression, neural networks, epsilon support vector regression, k nearest neighbors regression, regression tree, regression random forest, gradient descent boosted trees, and linear decision tree, the advantage of linear random forest in performance is confirmed by 24 real-world tasks from 7 different areas. Deeper discussions reveal that the advantages of linear random forest source from its strong learning ability, robustness, and feasibility of the hypothesis space. Through our study, the superiority of linear random forest for logging regression modeling is substantiated, which provides a more reasonable way for the further practices of logging regression modeling.

关键词： Machine learning Logging interpretation Logging regression modeling Linear random forest algorithm comparison

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Routing algorithm selection for field coverage planning based on field shape and fleet size

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COMPUTERS AND ELECTRONICS IN AGRICULTURE 2019年 156卷 523-529页

作者： Seyyedhasani, Hasan Dvorak, Joseph S. Roemmele, Eric Univ Calif Davis Biol & Agr Engn 2030 Bainer Hall Davis CA 95616 USA Univ Kentucky Biosyst & Agr Engn Dept 128 CE Barnhart Bldg Lexington KY 40546 USA Univ Kentucky Appl Stat Lab 323 Plant Sci Bldg Lexington KY 40546 USA

This project considered the field efficiency of routes created using two routing algorithms, a fast Clarke-Wright heuristic and a slower tabu search meta-heuristic, in 100 different field shapes with 1200 different field work scenarios for each algorithm. Different field work scenarios were generated by varying the number of simultaneously working vehicles (1, 2, 3, and 5) and using three path generation methods. After calculating the routes for all the scenarios using cloud computing and a high-performance compute cluster, the routes were evaluated to determine the field efficiency and field completion time. All tabu search results had field efficiencies above 0.65 and field completion times tightly clustered based on the number of simultaneously working vehicles. Many Clarke-Wright results were clustered with the tabu search results, but others had field efficiencies below 0.37 which indicated that the method failed to produce acceptable results. A logistic regression model was developed to identify the factors that caused unacceptable Clarke-Wright results. This enabled creation of a probability equation for predicting when the fast Clarke-Wright equation would produce acceptable results, and conversely, when it would be necessary to rely on the slower tabu search routing. Field shape complexity as measured by the isoperimetric quotient was the primary indicator that Clarke-Wright could fail to produce an acceptable result. The number of simultaneously operating vehicles was statistically insignificant for one, two or three vehicle fleets, but increasing to five vehicles did adversely affect the ability of the Clarke-Wright algorithm to provide acceptable routes.

关键词： Vehicle routing problem Tabu search Clarke-wright algorithm comparison Agricultural machinery

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Multi-objective ligand-protein docking with particle swarm optimizers

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SWARM AND EVOLUTIONARY COMPUTATION 2019年 44卷 439-452页

作者： Garcia-Nieto, Jose Lopez-Camacho, Esteban Jesus Garcia-Godoy, Maria Nebro, Antonio J. Aldana-Montes, Jose F. Univ Malaga ETSI Informat Dept Lenguajes & Ciencias Computac Campus Teatinos E-29071 Malaga Spain

In the last years, particle swarm optimizers have emerged as prominent search methods to solve the molecular docking problem. A new approach to address this problem consists in a multi-objective formulation, minimizing the intermolecular energy and the Root Mean Square Deviation (RMSD) between the atom coordinates of the co-crystallized and the predicted ligand conformations. In this paper, we analyze the performance of a set of multi-objective particle swarm optimization variants based on different archiving and leader selection strategies, in the scope of molecular docking. The conducted experiments involve a large set of 75 molecular instances from the Protein Data Bank database (PDB) characterized by different sizes of HIV-protease inhibitors. The main motivation is to provide molecular biologists with unbiased conclusions concerning which algorithmic variant should be used in drug discovery. Our study confirms that the multi-objective particle swarm algorithms SMPSOhv and MPSO/D show the best overall performance. An analysis of the resulting molecular ligand conformations, in terms of binding site and molecular interactions, is also performed to validate the solutions found, from a biological point of view.

关键词： Multi-objective optimization Particle swarm optimization Molecular docking Archiving strategies algorithm comparison

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comparison of advantages and disadvantages among various algorithms in logistics path-design Taking H-group as an example

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COGNITIVE SYSTEMS RESEARCH 2018年 52卷 843-852页

作者： Yu, Miao Li, Shuo Kong, Menglei Song, Jinguo Yang, Jing Ren, Guowen China Univ Polit Sci & Law Business Sch Beijing Peoples R China North China Elect Power Univ Sch Econ & Management Beijing Peoples R China

There are many kinds of VRP problems and there are many ways to solve them. In this paper, we use ant colony algorithm, genetic algorithm, and annealing algorithm to optimize the selection of the logistics path of H-group located at He Nan Province. It establishes an algorithm evaluation system, and analyzes the performance of the three algorithms in six dimensions from qualitative and quantitative perspectives. Through MATLAB data calculation, we found that the ant colony algorithm performs equally well on the solution quality, solution efficiency, code storage, robustness, adaptability, and optimality. (C) 2018 Published by Elsevier B.V.

关键词： VRP Various algorithms algorithm comparison

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Development of a Web Based Framework to Objectively Compare and Evaluate Software Solutions

Development of a Web Based Framework to Objectively Compare ...

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9th Int Conf on Appl Human Factors and Ergon (AHFE) / Int Conf on Human Factors, Software, and Syst Engn, Artificial Intelligence and Social Comp, Human Side of Serv Engn and Human Factors in Energy (HSSE)

作者： Barta, Maximilian Schimanski, Sigmund Buchhorn, Julian Nawrot, Adalbert Berg Univ Wuppertal Human Factors Engn Rainer Gruenter Str 21 D-42119 Wuppertal Germany

ISBN: (纸本)9783319942292;9783319942285

We created a web based framework to objectively evaluate different software solutions using different approaches to the same problem. Solutions can either be single algorithms, software modules or entire programs. The evaluation strongly relies on the human component. In this paper we describe the conceptual structure as well as the evaluation of the first field test of the developed framework by utilizing the implementation of two distinct georouting algorithms as well as their validation with test users. No modification to the tested software needs to be done, as the state of each software component is saved and synchronized by the framework. The aim of the investigation of our implementation is to gather usage data, which then allows us to derive proposals for improvements upon the area of usability and user experience and to identify properties that increases the productivity of users as well as finding out about bottlenecks. The framework is validated by assessing the collected metrics and the user feedback produced by the test, as distinctions in usage, user experience and usability between the two test algorithms were identified.

关键词： algorithm comparison Evaluation framework Human factors engineering Systems engineering User centered Web technologies

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A variant of Bucket Sort Shell Sort vs Insertion Sort 10

A variant of Bucket Sort Shell Sort vs Insertion Sort

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10th International Conference on Computing, Communication and Networking Technologies (ICCCNT)

作者： Abhay, Goel Abhishek, Sharma Namita, Gupta Maharaja Agrasen Inst Technol Dept Comp Sci Engn Delhi India Maharaja Agrasen Inst Technol Comp Sci Engn Delhi India

ISBN: (纸本)9781538659069

Sorting is a technique to rearrange a given list of elements according to a comparison operator on the elements. There are a large number of Sorting algorithms like Insertion Sort, Merge Sort, Bucket Sort, Shell Sort, etc. The efficiency of the sorting algorithm depends on many factors such as memory usage patterns (the number of times the sections of memory must be copied or swapped to and from the disk), the total number of comparisons and the time requirements for the algorithms to run. In this paper, a method is proposed which combines two sorting algorithms (Bucket Sort and Shell Sort) in a way that takes advantage of the strength of each to improve overall performance.

关键词： Shell Sort Bucket Sort Insertion Sort Sorting time complexity algorithm comparison

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Research on Image Feature Matching algorithm Applied to UAV Obstacle Avoidance

Research on Image Feature Matching Algorithm Applied to UAV ...

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第32届中国控制与决策会议

作者： Zhu Haijie Li Jiafeng Cheng Sifan Qin Linlin Department of Automation University of Science and Technology of China

The ORB,SIFT,and SURF algorithms are currently common feature matching *** three algorithms have certain differences in execution speed and matching *** this paper,the data sets provided by Mikolajczyk and Schmid are used to compare the algorithms in terms of execution speed,image transformation robustness,and noise *** conclusion of this paper is that the ORB algorithm is the fastest,the SURF algorithm is the most robust,and the SIFT algorithm has the most feature points.

关键词： ORB SIFT SURF Feature Matching algorithm comparison

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CROSS-comparison OF THREE SAR SOIL MOISTURE RETRIEVAL algorithmS USING SYNTHETIC AND EXPERIMENTAL DATA 38

CROSS-COMPARISON OF THREE SAR SOIL MOISTURE RETRIEVAL ALGORI...

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38th IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

作者： Balenzano, A. Satalino, G. Lovergine, F. Mattia, F. Cartus, O. Davidson, M. Al-Khaldi, M. Johnson, J. CNR ISSIA Bari Italy Gamma Remote Sensing Res & Consulting AG GAMMA Gumlingen Switzerland Estec ESA NL-2201 Noordwijk Netherlands Ohio State Univ Dept Elec & Comp Eng Columbus OH 43210 USA

ISBN: (纸本)9781538671504

The objective of this study is to cross-compare three algorithms for retrieving surface soil moisture (SSM) from ESA's Sentinel-1 (S-1) data. The context is provided by the large scientific and application interest in SSM products at high resolution and regional/continental scale that can be retrieved from S-1 data alone or in combination with other missions such as NASA/SMAP and ESA/SMOS. Of the three investigated algorithms, one inverts a scattering model exploiting a Bayesian approach, whereas the other two are change detection approaches. The cross-comparison is carried out by using both simulated and experimental data. Strengths and weaknesses of the three algorithms are identified and discussed.

关键词： Soil Moisture Sentinel-1 algorithm comparison Validation

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Ethylene-vinyl acetate foam as a new lung substitute in radiotherapy

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MEDICAL PHYSICS 2018年第4期45卷 1715-1723页

作者： Marques, Enrique Mancha, Pedro J. Virgen del Puerto Hosp Dept Med Phys Plasencia 10600 Caceres Spain Infanta Cristina Hosp Dept Med Phys Badajoz 06006 Spain

PurposeThe purpose of this study was to evaluate ethylene-vinyl acetate (EVA) foam as a new lung substitute in radiotherapy and to study its physical and dosimetric characteristics. MethodsWe calculated the ideal vinyl acetate (VA) content of EVA foam sheets to mimic the physical and dosimetric characteristics of the ICRU lung tissue. We also computed the water-to-medium mass collision stopping power ratios, mass attenuation coefficients, CT numbers, effective atomic numbers and electron densities for: ICRU lung tissue, the RANDO commercial phantom, scaled WATER and EVA foam sheets with varying VA contents in a range between the minimum and maximum values supplied by the manufacturer. For all these substitutes, we simulated percent depth-dose curves with EGSnrc Monte Carlo (MC PDDs) in a water-lung substitute-water slab phantom expressed as dose-to-medium and dose-to-water for 3x3- and 10x10-cm(2) field sizes. PDD for the 10x10-cm(2) field size was also calculated with the MultiGrid Superposition algorithm (MGS PDD) for a relative electron density to water ratio of 0.26. The latter was compared with the MC PDDs in dose-to-water for scaled WATER and EVA foam sheets with the VA content that was most similar to the calculated ideal content that is physically achievable in practice. ResultsWe calculated an ideal VA content of 55%;however, the maximum physically achievable content with current manufacturing techniques is 40%. The physical characteristics of the EVA foam sheets with a VA content of 40% (EVA40) are very close to those of the ICRU lung reference. The physical densities of the EVA40 foam sheets ranged from 0.030 to 0.965g/cm(3), almost covering the entire physical density range of the inflated/deflated lung (0.260-1.050g/cm(3)). Its mass attenuation coefficient at the effective energy of a 6-MV photon beam agrees within 0.8% of the ICRU reference value, and its CT number agrees within 6HU. The effective atomic number for EVA40 varies by less than 0.42 of the

关键词： algorithm comparison dosimetric characteristics ethylene-vinyl acetate foam lung substitute physical characteristics

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