搜索结果: 1-15 共查到“理学 Machines”相关记录19条 . 查询时间(0.078 秒)
A tree grows strong from years of generating its own food. Imagine if products could be strengthened with the same living materials that provide nutrients to trees. This is the work of University...
How DNA protein machines collide head on and stop replication（图）
DNA protein machines collide head on stop replication
2017/9/5
A new study describes how head-on collisions between protein machines on chromosomes can disrupt DNA replication and boost the rate of gene mutations that help bacteria survive hostile environments, r...
Mollusk graveyards are time machines to oceans' pristine past
Mollusk graveyards time machines oceans pristine past
2017/3/14
A Florida Museum of Natural History study shows that mollusk fossils provide a reliable measure of human-driven changes in marine ecosystems and shifts in ocean biodiversity.Collecting data from ...
The standard 2-norm SVM is known for its good performance in twoclass classification. In this paper, we consider the 1-norm SVM. We argue that the 1-norm SVM may have some advantage over the standard ...
Solving Support Vector Machines in Reproducing Kernel Banach Spaces with Positive Definite Functions
support vector machine reproducing kernel Banach space reproducing kernel,posi-tive definite function Fourier transform,Sobolev space,Matern function,Sobolev spline
2012/11/22
In this paper we extend support vector machines from reproducing kernel Hilbert spaces into reproducing kernel Banach spaces whose reproducing kernels can be defined on nonsymmetric domains. Using the...
A Greedy Algorithm for Feedrate Planning of CNC Machines along Curved Tool Paths with Conned Jerk
Feedrate optimization parametric tool path conned jerk velocity limit surface analytical solutions for feedrate function
2013/9/9
In this paper, the problem of optimal feedrate planning along a curved tool path for 3-axis CNC machines with the acceleration and jerk limits for each axis and the tangential velocity bound is addres...
Performance evolution and expectations management: lessons from Tevatron and other machines
Performance evolution expectations management lessons Tevatron other machines
2012/2/28
Below we review the LHC luminosity progress in 2010, discuss the luminosity evolution of the Tevatron collider at different stages of the Collider Runs, emphasize general dynamics of the process, comp...
Online over time scheduling on unbounded p-batch machines to minimize the makespan: A survey
operation sresearch online scheduling parallel-batch machines makespan competitive ratio
2011/11/14
Online scheduling is a rapidly developed branch in scheduling theory. In the research of online scheduling, makespan minimization on unbounded parallel-batch machines is a fruitful area. In this paper...
Classifying structures in the ISM with Support Vector Machines: the G16.05-0.57 supernova remnant
Classifying structures Support Vector Machines supernova remnant
2011/10/20
We apply Support Vector Machines -- a machine learning algorithm -- to the task of classifying structures in the Interstellar Medium. As a case study, we present a position-position velocity data cube...
Analysis of Casino Shelf Shuffling Machines
Casino Shelf Shuffling Machines Combinatorics Probability
2011/9/9
Abstract: Many casinos routinely use mechanical card shuffling machines. We were asked to evaluate a new product, a shelf shuffler. This leads to new probability, new combinatorics, and to some practi...
Output-input coupling in thermally fluctuating biomolecular machines
coupling biomolecular machines
2011/9/6
Biological molecular machines are proteins that operate under isothermal conditions hence are referred to as free energy transducers. They can be formally considered as enzymes that simultaneously cat...
Efficiency of autonomous soft nano-machines at maximum power
Efficiency of autonomous soft nano-machines maximum power
2010/11/22
We consider nano-sized artificial or biological machines working in steady state enforced by imposing non-equilibrium concentrations of solutes or by applying external forces, torques or electric fiel...
Maximally efficient quantum thermal machines: The basic principles
Maximally efficient quantum thermal machines The basic principles
2010/10/19
Following the result by Skrzypczyk et al., arXiv:1009.0865, that certain self-contained quantum
thermal machines can reach Carnot efficiency, we discuss the functioning of self-contained quantum ther...
Simultaneous Voltammetric Determination of Enrofloxacin and Ciprofloxacin in Urine and Plasma Using Multiwall Carbon Nanotubes Modified Glassy Carbon Electrode by Least-Squares Support Vector Machines
Simultaneous Voltammetric Determination Enrofloxacin Ciprofloxacin
2010/9/14
A simple and sensitive method is proposed for the electrochemical determination of enrofloxacin (ENRO) and its primary metabolite ciprofloxacin (CIPRO) at a multiwall carbon nanotubes/glassy carbon el...
Identification of support vector machines for runoff modelling
Identification support vector machines runoff modelling
2009/12/4
This paper describes an exploration in using SVM (Support Vector Machine) models, which were initially developed in the Machine Learning community, in flood forecasting, with the focus on the identifi...