scholarly journals Evolutionary Mechanism of Frangibility in Social Consensus System Based on Negative Emotions Spread

Complexity ◽  
2017 ◽  
Vol 2017 ◽  
pp. 1-8 ◽  
Author(s):  
Yao-feng Zhang ◽  
Hong-ye Duan ◽  
Zhi-lin Geng
Keyword(s):  
High Frequency ◽  
Negative Emotions ◽  
Low Frequency ◽  
Opinion Leaders ◽  
Group Polarization ◽  
Social Consensus ◽  
Evolutionary Mechanism ◽  
The Social ◽  
Simulation Results ◽  
Better Than

To study the social consensus system under the spread of negative emotions, the nonlinear emergence model of frangibility of social consensus system is established based on Multiagent method, and effects of emotions spread frequency, opinion leaders, and shielding behavior of government on the frangibility of social consensus system are revealed. The simulation results show that the low-frequency negative emotions spread is better than the high-frequency one for reducing the frangibility of social consensus system. Low-frequency negative emotions spread will lead to the group polarization, while high frequency will lead to the collapse of system. The joining of opinion leaders who are with negative emotions can promote the frangibility of social consensus system, and collapse speed of social consensus system tends to increase with the influence of opinion leaders. Shielding behavior of government cannot effectively block the spread of negative emotions. On the contrary, it will enhance the frangibility of social consensus system.

A Novel Fusion Method Using NSCT and PCNN

2013 ◽  
Vol 380-384 ◽  
pp. 3994-3997 ◽  
Author(s):  
Hong Li ◽  
Fen Xia Wu ◽  
Cong E Tan ◽  
Gong Yu Li
Keyword(s):  
High Frequency ◽  
Low Frequency ◽  
The Novel ◽  
Nonsubsampled Contourlet Transform ◽  
Fusion Algorithm ◽  
Regional Energy ◽  
Weighted Fusion ◽  
Contrast Method ◽  
Simulation Results ◽  
Better Than

An image fusion algorithm by combing Nonsubsampled Contourlet Transform and Pulse Coupled Neural Network is proposed in this paper. Two primitive matched images are decomposed in NSCT domain. The low frequency used the regional energy weighted fusion. The high frequency coefficients are input to the PCNN. Finally, the fused result is obtained through inverse NSCT. The novel algorithm will employ features and contain the most of the energy of image. The simulation results show that the results are much better than the experimental results, which the mutual information and QAB/F parameters are higher than the contrast method of fusion results.

Jitter Transmission Analysis and Experimental Research for Frame Structure in the Median and High Frequency Regions

2012 ◽  
Vol 271-272 ◽  
pp. 981-985
Author(s):  
You Yi Wang ◽  
Yang Zhao ◽  
Wen Lai Ma
Keyword(s):  
Dynamic Response ◽  
Frequency Response ◽  
Dynamic Model ◽  
Experimental Research ◽  
High Frequency ◽  
Low Frequency ◽  
Frame Structure ◽  
Wave Method ◽  
Simulation Results ◽  
Theoretical Results

Frame structure is widely used in practical projects. For jitter of the frame structure excited by median and high frequency disturbances, firstly, the dynamic model of thin plate substructure is built by wave method, and then the dynamic model of frame structure is established by combining wave method and substructure technique. At last, the accurate dynamic response was obtained. The simulation of dynamic characteristic is made, and simulation results are compared with FEM results. On this basis, modal experiment and frequency response experiment is done to verify theoretical results. In comparison to FEM, the results by wave method are accurate in low frequency regions, and the results are more accurate in the median and high frequency regions. The experiment proves wave method is correct and effective for jitter transmission analysis of frame structure in the median and high frequency regions.

An Improved QIM Watermarking Algorithm

2014 ◽  
Vol 644-650 ◽  
pp. 4641-4644
Author(s):  
Zhen Xian Lin ◽  
Yuan Sheng Li ◽  
Jian Tao Li
Keyword(s):  
Wavelet Transform ◽  
High Frequency ◽  
Low Frequency ◽  
Test Results ◽  
Quantization Method ◽  
Lifting Wavelet Transform ◽  
Watermark Embedding ◽  
Lifting Wavelet ◽  
Carrier Image ◽  
Better Than

Put forward an improved QIM watermark embedding algorithm. The carrier image is transformed into YCbCr space, lifting wavelet transform the three components, then using the QIM quantization method embeds watermark into high frequency coefficients of Cb and Cr component, and Y component of low frequency coefficients. The experimental results show that embedded watermark which using improved algorithm has good invisibility. Anti attack test results show that after using common attack method attack the image embedded watermark, it can still extract the watermark completely. The anti-attack performance of improved QIM algorithm is much better than texture watermarking algorithm based on DCT.

Layout Effects on High Frequency and Noise Parameters in MOSFETs

2017 ◽  
Vol 6 (1) ◽  
pp. 88
Author(s):  
Asmaa Nur Aqilah Zainal Badri ◽  
Norlaili Mohd Noh ◽  
Shukri Bin Korakkottil Kunhi Mohd ◽  
Asrulnizam Abd Manaf ◽  
Arjuna Marzuki ◽  
...  
Keyword(s):  
High Frequency ◽  
Noise Figure ◽  
Low Frequency ◽  
Frequency Noise ◽  
Noise Parameters ◽  
Trench Isolation ◽  
Gate Resistance ◽  
The Impact ◽  
Rf Noise ◽  
Better Than

<p>This study reviews related studies on the impact of the layout dependent effects on high frequency and RF noise parameter performances, carried out over the past decade. It specifically focuses on the doughnut and multi- finger layouts. The doughnut style involves the polygonal and the 4- sided techniques, while the multi-finger involving the narrow-oxide diffusion (OD) and multi-OD. The polygonal versus 4-sided doughnut, and the narrow-OD with multi-fingers versus multi-OD with multi- fingers are reviewed in this study. The high frequency parameters, which are of concern in this study, are the cut- off frequency (f<sub>T</sub>) and the maximum frequency (f<sub>MAX</sub>), whereas the noise parameters involved are noise resistance (R<sub>N</sub>) and the minimum noise figure (NF<sub>min</sub>). In addition, MOSFET parameters, which are affected by the layout style that in turn may contribute to the changes in these high frequency, and noise parameters are also detailed. Such parameters include transconductance (G<sub>m</sub>); gate resistance (R<sub>g</sub>); effective mobility (μ<sub>eff</sub>); and parasitic capacitances (c<sub>gg</sub> and c<sub>gd</sub>). Investigation by others has revealed that the polygonal doughnut may have a larger total area in comparison with the 4- sided doughnut. It is also found by means of this review that the multi-finger layout style with narrow-OD and high number of fingers may have the best performance in f<sub>T</sub> and f<sub>MAX</sub>, owing partly to the improvement in G<sub>m</sub>, μ<sub>eff</sub>, c<sub>gg</sub>, c<sub>gd</sub> and low frequency noise (LFN). A multi-OD with a lower number of fingers may lead to a lower performance in f<sub>T</sub> due to a lower G<sub>m</sub>. Upon comparing the doughnut and the multi-finger layout styles, the doughnuts appeared to perform better than a standard multi-finger layout for f<sub>T</sub>, f<sub>MAX</sub>, G<sub>m</sub> and μ<sub>eff</sub> but are poorer in terms of LFN. It can then be concluded that the narrow-OD multi-finger may cause the increase of c<sub>gg</sub> as the transistor becomes narrower, whereas a multi-OD multi-finger may have high R<sub>g</sub> and therefore may lead to the increase of f<sub>T</sub> and f<sub>MAX</sub> as the transistor becomes narrower. Besides, the doughnut layout style has a higher G<sub>m</sub> and f<sub>T</sub>, leading to larger μ<sub>eff</sub> from the elimination of shallow trench isolation (STI) stress.</p>

Novel Infrared and Visible Images Fusion Algorithm Based on NSCT

2014 ◽  
Vol 989-994 ◽  
pp. 3763-3767
Author(s):  
Hai Feng Tan ◽  
Tian Wen Luo ◽  
Jing Jun Zhu ◽  
Guan Zhong Li ◽  
Quan Xi Zhang
Keyword(s):  
High Frequency ◽  
Low Frequency ◽  
Nonsubsampled Contourlet Transform ◽  
Target Image ◽  
Fusion Algorithm ◽  
Regional Energy ◽  
Fusion Methods ◽  
Visible Images ◽  
Regional Variance ◽  
Better Than

A novel fusion algorithm based on Nonsubsampled Contourlet Transform (NSCT) is proposed, according to the characteristics of infrared and visible images. Firstly, the registered infrared and visible images from the same scene were transformed by NSCT transforms; then the low frequency coefficient is fused by the combination of local energy and normalised correlation matrix, the high frequency coefficient fusion is fused by regional energy matching with regional variance; finally, the target image is obtained by performing inverse NSCT transforms. experimental results indicate that the proposed algorithm can effectively get more detail information and the fusion performance is dramatically better than traditional fusion methods.

Learning Rhythmic Hand Movements

1973 ◽  
Vol 25 (2) ◽  
pp. 253-259 ◽  
Author(s):  
C. D. Frith
Keyword(s):  
High Frequency ◽  
Low Frequency ◽  
Average Frequency ◽  
Frequency Component ◽  
Hand Movements ◽  
Straight Line ◽  
Line Path ◽  
Better Than

Twenty-seven subjects tracked targets moving up and down in a straight-line path formed from the sum of three sine waves. There were nine such tracks varying in average frequency and length of repeating subunit. The latter variable had little effect on performance, but low frequency targets were tracked better than high frequency targets. Only the component frequencies present in the tracks were reproduced to any extent in the subjects' performance. For components in different tracks the highest frequencies were reproduced with the lowest amplitude. However, for components within the track the highest frequency component tended to be reproduced with the highest amplitude. In addition the greatest amount of learning appeared in the highest frequency component within a track.

Calculation Error's Correction of Three-Component Geomagnetic Field's Marine Survey

2013 ◽  
Vol 756-759 ◽  
pp. 323-326
Author(s):  
Xing Le Zhu ◽  
Chang Han Xiao ◽  
Zhen Ning Yao
Keyword(s):  
Wavelet Transform ◽  
High Frequency ◽  
Geomagnetic Field ◽  
Low Frequency ◽  
Frequency Component ◽  
Frequency Noise ◽  
Calculation Error ◽  
High Frequency Noise ◽  
Multi Scale ◽  
Simulation Results

In order to eliminate calculation error, wavelet transform is used to remove noise when navigational data is used to calculate truth-value of three-component geomagnetic field. By introducing Euler attitude rotation matrix, the computing value of geomagnetic vector is decomposed by multi-scale wavelet transform in each frequency. The high-frequency noise is removed and the accurate value of geomagnetic field can be got by rebuilding low-frequency component. Simulation results indicate that the calculated value is identical with setting value and has high precision, which means the method has great applied importance and instructional significance for practical measurement of marine three-component geomagnetic field.

IMPROVING FORECASTING ACCURACY OF THE S&P500 INTRA-DAY PRICE DIRECTION USING BOTH WAVELET LOW AND HIGH FREQUENCY COEFFICIENTS

2014 ◽  
Vol 13 (01) ◽  
pp. 1450008 ◽  
Author(s):  
S. LAHMIRI
Keyword(s):  
Time Resolution ◽  
Stock Prices ◽  
High Frequency ◽  
Short Interval ◽  
Low Frequency ◽  
Standard Approach ◽  
Discrete Wavelet ◽  
High Time Resolution ◽  
Frequency Components ◽  
Simulation Results

Numerous research works have successfully applied the wavelet analysis for the decomposition and forecasting of financial data. Particularly, using the discrete wavelet transform (DWT) stock price time series were analyzed following a fixed sub-band coding scheme, which provides a low time resolution for low frequencies and a high time resolution for high frequencies. Following the standard approach found in the literature, only low frequency components were considered as main features to predict stock prices. However, this approach lacks of details about the generative process of the original data. In this paper, we rely on DWT high frequency sub-band to extract short interval hidden information for better classification of future Standard and Poors (S&P500) one minute ahead direction using artificial neural network trained with backpropagation algorithm. The simulation results show that our approach that uses both low (approximation) and high (detail) frequency coefficients provides better classification rates than the standard one. In addition, simulation results show that low frequency components are appropriate to detect future downshifts in S&P500, whilst our approach is suitable to predict future upwards. Thus, the standard approach provides valuable information for risk averse investors trading S&P500, and our approach that combines low and high frequency coefficients is strongly useful for aggressive investors seeking short-term profits when trading S&P500.

Study on Different Connection Types of Air Spring

2013 ◽  
Vol 423-426 ◽  
pp. 2026-2034 ◽  
Author(s):  
Hong Xing Gao ◽  
Mao Ru Chi ◽  
Min Hao Zhu ◽  
Ping Bo Wu
Keyword(s):  
Dynamic Characteristics ◽  
High Frequency ◽  
Low Frequency ◽  
Experimental Results ◽  
Reservoir Model ◽  
Air Spring ◽  
Connection Type ◽  
Simulation Results ◽  
Secondary Suspension ◽  
Set Up

Three accurate dynamic model of air spring was set up through aerodynamics, fluid mechanics, structural mechanics,engineering thermodynamics, etc. According to the new established bellow-orifice-reservoir model, bellow-pipe-reservoir model and bellow-orifice-pipe-reservoir model, the dynamic characteristics of air spring were calculated under different excitation amplitudes and frequencies. By comparison with experimental results, it shows that the simulation results of the three models and experimental results coincide very well in dynamic characteristics; the bellow-orifice-pipe-reservoir connection type is recommended as the secondary suspension for low frequency excitations; and the bellow-orifice-reservoir connection type is considered effectively for high frequency excitations; the bellow-pipe-reservoir connection type is not recommended to be used as the secondary suspension because of its negative stiffness.

Exposure and Gender Effects in the Social Perception of Women Bodybuilders

1984 ◽  
Vol 6 (2) ◽  
pp. 239-245 ◽  
Author(s):  
Loren Franck
Keyword(s):  
High Frequency ◽  
Rating Scale ◽  
Low Frequency ◽  
Psychology Students ◽  
Status Quo ◽  
Gender Effects ◽  
Analysis Of Covariance ◽  
The Social ◽  
Dependent Variables ◽  
And Gender

A 3 x 4 factorial design was used to test the affects of gender, frequency of exposure, and magnitude of exposure on subjects' ratings of women bodybuilders. Dependent variables were subjects' ratings of the bodybuilders' femininity, physical attractiveness, dominance, and aggressiveness. Subjects were 76 introductory psychology students (45 female, 31 male) at a large Utah university who completed a 10-item rating scale after viewing 20 color slides of some of the world's leading women bodybuilders. A multivariate analysis of covariance (MANCOVA) showed that males rated the women bodybuilders as more attractive than did females (p < .05) and that the longer they had been exposed to women bodybuilders, the higher were their attractiveness ratings for women bodybuilders (p < .05). Gender-frequency of exposure interaction effects were also statistically significant (p < .05). Males with low frequency of exposure rated the women bodybuilders as less dominant than did low-frequency females. However, high frequency-of-exposure males rated the women bodybuilders as more dominant than did high-frequency females. The study concludes with a discussion of the mere exposure hypothesis and status quo effects in an attempt to explain the results.

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