Tao Yang

Xiamen University, Amoy, Fujian, China

Are you Tao Yang?

Claim your profile

Publications (55)0 Total impact

  • Youhe Chen, Tian Hu, Kun Wen, Tao Yang
    [Show abstract] [Hide abstract]
    ABSTRACT: In this paper an improved algorithm of computational verb PID controller is proposed. In the original design of verb PID controller, the modification of integral gain is coupled with that of the derivative gain. In this paper, the integral gain is modified independently by using a separated set of computational verb rules. The comparisons of tracking performance and robustness among conventional PID controllers, fuzzy PID controllers, verb PID controllers and the proposed verb PID controllers are presented. The simulation results show that the improved verb PID controller is better than other three kinds of PID controller with respect to tracking performances.
    2013 International Conference on Anti-Counterfeiting, Security and Identification (ASID); 10/2013
  • Renyu Huang, Bin Li, Tao Yang
    [Show abstract] [Hide abstract]
    ABSTRACT: In this paper, computational verb correlation (verb correlation, for short) is applied to stock market in order to find the correlation between different stock indexes. In previous works, computational verb similarities are used to provide the measurement for selecting the attributes in order to train decision trees. In this paper, a training method of decision tree is constructed based on verb correlation. Some examples are used to show the usefulness of our training algorithm for verb decision trees.
    2013 International Conference on Anti-Counterfeiting, Security and Identification (ASID); 10/2013
  • Tian Hu, Tao Yang
    [Show abstract] [Hide abstract]
    ABSTRACT: Different with traditional way to detect the barcode with laser scanner, another cheaper and portable method is using the camera with the image processing algorithm. It is convenient today to use the camera of cellphones to detect the barcode. With digital image processing techniques based on computational verb theory was proposed before, in this paper, a barcode localization algorithm based on verb image processing is introduced. It combines traditional image processing techniques with computational verb image processing for object detection. The proposed algorithm shows a robust performance in the experiment, which uses a database containing over 1,000 barcode images under different environmental conditions.
    2013 International Conference on Anti-Counterfeiting, Security and Identification (ASID); 10/2013
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Gas recognition techniques are important for metal oxide sensors in practical applications because of their poor selectivities. The conventional solution is using sensor arrays instead of single sensors for pattern recognition. But this solution is expensive and the accuracy is affected by every single sensor in it. So developing recognition techniques based on single sensors is strongly needed. In this paper, a new method based on computational verb theory was developed by employing verb similarities as decision features and a clear linear decision boundary was found. Precise recognition between ethanol and acetone was conducted by using a single sensor. Compared with the conventional gas recognition approach, this method is more cost effective and programmable which shows promising applications in future smart gas detecting systems.
    2012 International Conference on Anti-Counterfeiting, Security and Identification; 08/2012
  • Tao Yang, Suntao Wu, Donghui Guo
    [Show abstract] [Hide abstract]
    ABSTRACT: This paper presents a dynamic range enhanced visual sensor circuit and its application for multi-object detection based on LGMD (Lobula Giant Movement Detection) method. The proposed visual sensor incorporates a DR (Dynamic Range) extension circuit with the general pipeline AD Converter. Therefore little changes are needed to achieve the DR extension. Together with the modified LGMD model, our system would effectively enhance the reliability of motion detection compared with traditional motion detecting system.
  • Alian Cai, Tao Yang
    [Show abstract] [Hide abstract]
    ABSTRACT: There are many algorithms for association rule mining, but in practice we usually face raw data that is inappropriate for these algorithms because of lacking a unified preprocessing framework. In this paper, a general framework for dynamic data processing is presented, which is based on computational verb theory (CVT). Linear standard computational verbs are used and computational verb similarities are employed to process raw data, such that the association rules of trends can be found. One example of time series of an Internet shop is studied to show the usefulness of the association rule mining algorithm proposed in this paper.
    Anti-Counterfeiting, Security and Identification (ASID), 2012 International Conference on; 01/2012
  • Rui Zhou, Kun Wen, Xuezhi Wu, Tao Yang
    [Show abstract] [Hide abstract]
    ABSTRACT: Computational verb cellular networks (CVCNs) are a new kind of cellular computational platform where the cellular rules are computational verb rules. Since the richness of computational verb rules, CVCNs are of many kinds. In the previous works, the categorizations of patterns formed in two-dimensional computational verb networks (2D CVCNs) with Moore-neighborhood were studied. In this paper, we use T-neighborhood, in which we just need to consider the center cell and three neighbor cells directly upon it. In T-neighborhood we observed many dynamic transmitting patterns and some special patterns that seem to be unchangeable and static of 2D CVCNs.
    Anti-Counterfeiting, Security and Identification (ASID), 2012 International Conference on; 01/2012
  • Kun Wen, Xuezhi Wu, Tao Yang
    [Show abstract] [Hide abstract]
    ABSTRACT: In this paper, on the basis of the computational verb theory, we set special local verb rules and specific initial conditions to try to simulate some phenomena in two dimensional computational verb cellular networks then we get some diffusion and wave propagation patterns. We pick up three typical types to be shown in this paper, that is, ripple propagation patterns, target wave propagation patterns and diamond propagation patterns. And we use ripple propagation patterns to model raindrops ripple. Compared to the traditional physical methods of water wave modeling, the 2D CVCNs could model the phenomena by an easier way. The models which are based on the 2D CVCN reveal that computational verb cellular networks have good capabilities for physical modeling.
    Anti-Counterfeiting, Security and Identification (ASID), 2012 International Conference on; 01/2012
  • Juanjuan Sun, Tao Yang
    [Show abstract] [Hide abstract]
    ABSTRACT: C,... ,... , ,... ,... , ) , ) , ) ( ) , ( ) , , ( ) , ( ,... ,... ) , ( ) , ) , ) , ' ( ' ' ) , ) ' , ' ( ' ' �≈ ) , ( , ) , �� )} , ( ), , ( ), , ( ) , ( ) , ( . ] ,... , ] ,... ,... , [ , ] ,... . ] ,..., , [ ) ( ),..., ( ] ,... ] ,..., [ ,, ] ,..., [ ] ,... [ || | | || , �� ] ,... , ) ,..., , ) ,..., , , , ) , )) , ( ), , ( ( ) ), ( ( ) , ( , ) , ) , ) , �� ��
  • [Show abstract] [Hide abstract]
    ABSTRACT: In computational verb(CV) image processing, the evolving function of a spatial verb denotes the changes of gray- values along spatial coordinates. The spatial configurations and the changes of the brightness function as two kinds of the evolving functions of spatial verbs. In our previous work, gray level profiles and contour shapes were used to construct edge models for describing edges of image, and then, achieved the CV interpolation algorithm by using computational verb similarities. In this paper, CV interpolation will be extended to color images, make up the current lack of effective edge detection algorithm and interpolation algorithm for color images. Experiments show that, CV interpolation algorithm has good performance for color images, in the case of a fixed magnification, high resolution image quality is better than other algorithms.
  • Xiaoli Lin, Tao Yang
    [Show abstract] [Hide abstract]
    ABSTRACT: Computational verb cellular network (CVCN) is a new kind of cellular computational platform where the local rules are computational verb rules. In this paper, the mechanism of forming checkerboard patterns in one-dimensional CVCN (1D CVCN) is studied mathematically. Three conditions of generating checkerboard patterns are proved mathematically based on the decomposition of global evolving patterns.
  • Xiaoli Lin, Tao Yang
    [Show abstract] [Hide abstract]
    ABSTRACT: Computational verb cellular networks (CVCN) are a new kind of cellular computational platform where the local rules are computational verb rules. In this paper, the mechanism of forming some homogenous and flip-flop patterns in the same gi is studied mathematically. In this case, the evolution function change to self-map and the bifurcation point is used to discuss separately in different intervals. Keywords—computational verb; cellular automata; 1D CVCN; homogenous pattern; flip-flop pattern
  • [Show abstract] [Hide abstract]
    ABSTRACT: In this paper, a new image interpolation algorithm is proposed due to the inspiration of knowledge-based learning and dynamical control strategy which are based on computational verb theory. This algorithm takes gray level profiles and contour shapes as two processing factors. Experiments show that, with respect to the performance near edges of digital images, our algorithm is better than nearest neighbor interpolation algorithm; with respect to the performance in regions of images, our method is better than bilinear interpolation and bicubic interpolation.
    Anti-Counterfeiting Security and Identification in Communication (ASID), 2010 International Conference on; 08/2010
  • Xiaoli Lin, Tao Yang
    [Show abstract] [Hide abstract]
    ABSTRACT: Computational verb cellular network(CVCN) is a new kind of cellular computational platform where the cellular rules are computational verb rule. CVCNs are good models for modeling human social interactions with high-level modeling of human rational and irrational behaviors. Since the richness of patterns formed in 2D CVCNs, the mechanism of forming patterns is difficult to study mathematically. In this paper, the circumgyration patterns formed in 2D CVCN are studied. Based on computational verb local rules, mathematical equations are constructed to define the circumgyration solutions of 2D CVCN. The solution is calculated numerically using Matlab to verify the usefulness of the theoretical predictions.
  • [Show abstract] [Hide abstract]
    ABSTRACT: In this paper, the pixel values of a gray-scale digital image are represented row-wisely, column-wisely and squarely as computational verbs. Eight standard computational verbs are chosen to encode local sequences of pixel values based on computational verb similarities. Compression ratios near 11 : 1 and 21 : 1 are achieved in the examples presented. Genetic algorithm is used to optimize the spatial computational verbs for verb image compression.
  • Lisha Guo, Yi Guo, Tao Yang
    [Show abstract] [Hide abstract]
    ABSTRACT: The adaptive-network-based computational verb inference system (ANCVIS) is a kind of computational verb inference system implemented in adaptive networks. In this paper, a new type of ANCVIS, which uses trend-based computational verb similarities, is presented, and its learning algorithm is derived. Simulations show that the proposed model can tune system parameters well and yield reasonable results based on computational verb rules and input-output data pairs.
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Computational verb cellular networks (CVCNs) represent a new platform of cellular computation. In a CVCN, local rules are computational verb rules. In this paper, the theoretical study of conditions, under which two kinds of pattern solutions form in 1D CVCN, is performed. The mechanisms of forming grid and multicolor flip-flop patterns in one-dimensional CVCN are studied mathematically. Based on the theorems of previous works, the constraints of parameters of 1D CVCNs for generating both pattern solutions are constructed. Numerical experimental results verify the usefulness of the theoretical predictions.
    Sixth International Conference on Natural Computation, ICNC 2010, Yantai, Shandong, China, 10-12 August 2010; 01/2010
  • [Show abstract] [Hide abstract]
    ABSTRACT: In this paper, a new method for analog design reuse during technology migration is proposed. Previous works ignore the variance of technology parameters. Accordingly, bases on gm/id methodology and ACM model, our methodology adopts an extra pre-extraction step for parameters deciding. This enables a practical description of MOS transistor working state and is therefore more precisely in deciding the design freedoms of two typical strategies. The methodology is validated and results are compared with a common-source amplifier from 0.6um to 0.35um technology.
    Anti-Counterfeiting Security and Identification in Communication (ASID), 2010 International Conference on; 01/2010
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Computational verb clustering algorithms (shortly, CV clustering) classify historical data by mapping dynamic processes evolving along spatial or temporal axis to the three-dimensional attribute space. This kind of processes exactly meets the character of latent faults emergence evolution. In this paper, template computational verbs are clustered based on sampled CO concentration data, characteristic gas monitored in oil-immersed transformers, in which evolving data of latent fault are utilized fully. And a decision tree is established innovatively according to the corresponding relation between the similarities of each clustered category and detection rates. Simple fault diagnosis is realized preliminarily. Copyright c ⃝ 2010 Yang's Scientific Research Institute, LLC. All rights reserved.
  • Juanjuan Sun, Tao Yang
    [Show abstract] [Hide abstract]
    ABSTRACT: In this paper, an algorithm of learning computational verb decision trees (verb trees, for short) from training examples base on impact factors, which are calculated by using computational verb similarities, is presented. Some examples are used to show the creation of verb decision tree and the usefulness of verb decision trees. Examples are used to show that verb decision trees are powerful tools to generalize and extract knowledge from both historical records and Boolean logical records.