A New Method for Solving the Direct Kinematics of 6-DOF SPS

2006 ◽  
Vol 532-533 ◽  
pp. 889-892 ◽  
Author(s):  
Qiang Li ◽  
Hong Bo Yan
Keyword(s):  
Numerical Analysis ◽  
Group Technology ◽  
Stewart Platform ◽  
New Method ◽  
Novel Method ◽  
Direct Kinematics ◽  
Geometrical Knowledge

A novel method is introduced. Simplify Stewart platform by using of group technology. Six legs 6-6 Stewart Platform is transformed into three group legs Stewart platform by way of geometrical knowledge and numerical analysis. Make emulational program of Matlab 6.5 to validate the method of direct kinematics. Velocity and precision of computing are advanced by repeatedly optimizing of method. The method is scientific and novel.

scholarly journals Strategic Team AI Path Plans: Probabilistic Pathfinding

2008 ◽  
Vol 2008 ◽  
pp. 1-6 ◽  
Author(s):  
Tng C. H. John ◽  
Edmond C. Prakash ◽  
Narendra S. Chaudhari
Keyword(s):  
Genetic Algorithm ◽  
Genetic Algorithms ◽  
Computer Games ◽  
Fitness Function ◽  
New Method ◽  
High Quality ◽  
Plan Generation ◽  
Novel Method ◽  
Games And Simulations

This paper proposes a novel method to generate strategic team AI pathfinding plans for computer games and simulations using probabilistic pathfinding. This method is inspired by genetic algorithms (Russell and Norvig, 2002), in that, a fitness function is used to test the quality of the path plans. The method generates high-quality path plans by eliminating the low-quality ones. The path plans are generated by probabilistic pathfinding, and the elimination is done by a fitness test of the path plans. This path plan generation method has the ability to generate variation or different high-quality paths, which is desired for games to increase replay values. This work is an extension of our earlier work on team AI: probabilistic pathfinding (John et al., 2006). We explore ways to combine probabilistic pathfinding and genetic algorithm to create a new method to generate strategic team AI pathfinding plans.

scholarly journals Disjoint combinations profiling (DCP): a new method for the prediction of antibody CDR conformation from sequence

2014 ◽  
Author(s):  
Dimitris Nikoloudis ◽  
Jim E. Pitts ◽  
José W. Saldanha
Keyword(s):  
Protein Engineering ◽  
Prediction Accuracy ◽  
Variable Region ◽  
New Method ◽  
Engineering Applications ◽  
Variable Regions ◽  
Blind Prediction ◽  
Novel Method ◽  
Complementarity Determining Regions ◽  
Sequence Rules

The accurate prediction of the conformation of Complementarity-Determining Regions (CDRs) is important in modelling antibodies for protein engineering applications. Specifically, the Canonical paradigm has proved successful in predicting the CDR conformation in antibody variable regions. It relies on canonical templates which detail allowed residues at key positions in the variable region framework or in the CDR itself for 5 of the 6 CDRs. While no templates have as yet been defined for the hypervariable CDR-H3, instead, reliable sequence rules have been devised for predicting the base of the CDR-H3 loop. Here a new method termed Disjoint Combinations Profiling (DCP) is presented, which contributes a considerable advance in the prediction of CDR conformations. This novel method is explained and compared with canonical templates and sequence rules in a 3-way blind prediction. DCP achieved 93% accuracy over 951 blind predictions and showed an improvement in cumulative accuracy compared to predictions with canonical templates or sequence-rules. In addition to its overall improvement in prediction accuracy, it is suggested that DCP is open to better implementations in the future and that it can improve as more antibody structures are deposited in the databank. In contrast, it is argued that canonical templates and sequence rules may have reached their peak.

Vague Correlation Coefficient of Interval Vague Sets and its Applications to Topsis in MADM Problems

2014 ◽  
pp. 140-173
Author(s):  
John Robinson P. ◽  
Henry Amirtharaj E. C.
Keyword(s):  
Fuzzy Sets ◽  
Correlation Coefficient ◽  
Intuitionistic Fuzzy Sets ◽  
New Method ◽  
Numerical Illustration ◽  
Vague Sets ◽  
Intuitionistic Fuzzy ◽  
Statistical Confidence ◽  
Order Preference ◽  
Novel Method

Various attempts are made by researchers on the study of vagueness of data through Intuitionistic Fuzzy sets and Vague sets, and also it is shown that Vague sets are Intuitionistic Fuzzy sets. However, there are algebraic and graphical differences between Vague sets and Intuitionistic Fuzzy sets. In this chapter, an attempt is made to define the correlation coefficient of Interval Vague sets lying in the interval [0,1], and a new method for computing the correlation coefficient of interval Vague sets lying in the interval [-1,1] using a-cuts over the vague degrees through statistical confidence intervals is also presented by an example. The new method proposed in this work produces a correlation coefficient in the form of an interval. The proposed method produces a correlation coefficient in the form of an interval from a trapezoidal shaped fuzzy number derived from the vague degrees. This chapter also aims to develop a new method based on the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to solve MADM problems for Interval Vague Sets (IVSs). A TOPSIS algorithm is constructed on the basis of the concepts of the relative-closeness coefficient computed from the correlation coefficient of IVSs. This novel method also identifies the positive and negative ideal solutions using the correlation coefficient of IVSs. A numerical illustration explains the proposed algorithms and comparisons are made with some existing methods.

Vague Correlation Coefficient of Interval Vague Sets and its Applications to Topsis in MADM Problems

Fuzzy Systems ◽  
2017 ◽  
pp. 1110-1149
Author(s):  
John Robinson P. ◽  
Henry Amirtharaj E. C.
Keyword(s):  
Fuzzy Sets ◽  
Correlation Coefficient ◽  
Intuitionistic Fuzzy Sets ◽  
New Method ◽  
Numerical Illustration ◽  
Vague Sets ◽  
Intuitionistic Fuzzy ◽  
Statistical Confidence ◽  
Order Preference ◽  
Novel Method

Various attempts are made by researchers on the study of vagueness of data through Intuitionistic Fuzzy sets and Vague sets, and also it is shown that Vague sets are Intuitionistic Fuzzy sets. However, there are algebraic and graphical differences between Vague sets and Intuitionistic Fuzzy sets. In this chapter, an attempt is made to define the correlation coefficient of Interval Vague sets lying in the interval [0,1], and a new method for computing the correlation coefficient of interval Vague sets lying in the interval [-1,1] using a-cuts over the vague degrees through statistical confidence intervals is also presented by an example. The new method proposed in this work produces a correlation coefficient in the form of an interval. The proposed method produces a correlation coefficient in the form of an interval from a trapezoidal shaped fuzzy number derived from the vague degrees. This chapter also aims to develop a new method based on the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to solve MADM problems for Interval Vague Sets (IVSs). A TOPSIS algorithm is constructed on the basis of the concepts of the relative-closeness coefficient computed from the correlation coefficient of IVSs. This novel method also identifies the positive and negative ideal solutions using the correlation coefficient of IVSs. A numerical illustration explains the proposed algorithms and comparisons are made with some existing methods.

Mg(OH)2/Epoxy Resin Nanocomposite Prepared by a Novel Method

2005 ◽  
Vol 13 (5) ◽  
pp. 525-527
Author(s):  
Cheng Yiyun ◽  
Cui Ronghui ◽  
He Pingsheng
Keyword(s):  
Electron Microscopy ◽  
Transmission Electron Microscopy ◽  
Epoxy Resin ◽  
New Method ◽  
Resin Matrix ◽  
Epoxy Resin Matrix ◽  
Transmission Electron ◽  
Micro Emulsion ◽  
Novel Method ◽  
Micro Reactor

This study presents a new method of preparing Mg(OH)2/epoxy resin nanocomposites. An epoxy resin micro-emulsion is taken as a micro-reactor for the formation of Mg(OH)2 nano-crystals. After the reaction, the collected epoxy proved to be a composite with embedded nano-Mg(OH)2. Transmission electron microscopy (TEM) indicated that the Mg(OH)2 nano-crystals were dispersed uniformly in cured epoxy resin matrix.

A Novel Method with Good Repeatability and Stability for Calibrating Milliampere-Second Meter

2014 ◽  
Vol 644-650 ◽  
pp. 1429-1432
Author(s):  
Tian Yu Sun ◽  
Yan Bo Liu ◽  
Tian Su Wei ◽  
Fu Cheng Yin
Keyword(s):  
Exposure Time ◽  
Preventive Maintenance ◽  
Traditional Method ◽  
Signal Generator ◽  
New Method ◽  
X Ray ◽  
Tube Current ◽  
Standard Value ◽  
Good Repeatability ◽  
Novel Method

There is not any calibration specification or verification regulation for the milliampere-second meter, a very important instrument for preventive maintenance and calibrating the X-ray machine [1][2], is used to measure the value of the product of tube current and exposure time. To solve the problem that the traditional method can not offer the same standard value in different times, this paper presents a method for calibrating the milliampere-second meter by using a signal generator and a digital meter. It shows that the new method has good repeatability and stability.

A novel method for detecting light source for digital images forensic

2011 ◽  
Vol 19 (2) ◽  
Author(s):  
A. Roy ◽  
S. Mitra ◽  
R. Agrawal
Keyword(s):  
Forensic Science ◽  
Light Source ◽  
Digital Image ◽  
Digital Images ◽  
Experimental Results ◽  
New Method ◽  
Light Sources ◽  
Image Forensic ◽  
Morality Politics ◽  
Novel Method

AbstractManipulation in image has been in practice since centuries. These manipulated images are intended to alter facts — facts of ethics, morality, politics, sex, celebrity or chaos. Image forensic science is used to detect these manipulations in a digital image. There are several standard ways to analyze an image for manipulation. Each one has some limitation. Also very rarely any method tried to capitalize on the way image was taken by the camera. We propose a new method that is based on light and its shade as light and shade are the fundamental input resources that may carry all the information of the image. The proposed method measures the direction of light source and uses the light based technique for identification of any intentional partial manipulation in the said digital image. The method is tested for known manipulated images to correctly identify the light sources. The light source of an image is measured in terms of angle. The experimental results show the robustness of the methodology.

Determination of Constant Orientation Workspace of a Stewart Platform by Geometrical Method

2015 ◽  
Vol 813-814 ◽  
pp. 997-1001 ◽  
Author(s):  
S. Gokul Narasimhan ◽  
R. Shrivatsan ◽  
K. Venkatasubramanian ◽  
Anjan Kumar Dash
Keyword(s):  
Algebraic Method ◽  
Parallel Manipulators ◽  
Stewart Platform ◽  
Closed Form Expression ◽  
Robot Design ◽  
Form Expression ◽  
Novel Method ◽  
Workspace Optimization ◽  
Orientation Workspace

Determination of workspace is one of the main considerations in the design of any robot since the workspace geometry is considered a fundamental issue for robot design. This also plays a crucial role in trajectory planning. Among parallel manipulators, 6-DOF Stewart platforms is the most researched and widely used robot. However, till date there is no closed form expression of workspace volume for Stewart platform. In this paper, a novel method is proposed to find out the workspace volume of Stewart platform. In this paper, individual workspace of each leg of the manipulator (P-U-S) is determined and then translated by a common distance towards their geometrical center thus generating constant orientation workspace. To determine the workspace volume, geometric intersection of the six spheres is computed. This results in workspace of definite shape and size, whose volume is calculated using simple formulae. It is observed that the geometric way of determination of workspace area is computationally less tedious than the algebraic method. This also helps a lot for workspace optimization of such manipulators.

Parameter Optimization of Virtual Impedance for Parallel Inverter

2014 ◽  
Vol 986-987 ◽  
pp. 1973-1976
Author(s):  
Ping Wang ◽  
Liu Yang
Keyword(s):  
Parameter Optimization ◽  
Dynamic Performance ◽  
Design Methods ◽  
New Method ◽  
Conventional Design ◽  
Equivalent Impedance ◽  
Novel Method ◽  
Virtual Impedance ◽  
Frequency Curves ◽  
Parallel Inverter

This paper deals with parameter optimization of virtual impedance of parallel inverter. Conventional design methods determine parameters by observing the changes of amplitude-frequency and phase frequency curves of the equivalent impedance. However, those methods always neglect the dynamic performance of inverters in parallel. This paper proposes a novel method to optimize the coefficients of virtual impedance and experiments show that new method improves the dynamic performance of parallel inverter effectively, as well as stability and flexibility.

Sign in / Sign up

Export Citation Format

Share Document