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Search Results: 1 - 10 of 67115 matches for " Chao Yang "
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Efficient Compressive Multi-Focus Image Fusion  [PDF]
Chao Yang, Bin Yang
Journal of Computer and Communications (JCC) , 2014, DOI: 10.4236/jcc.2014.29011

Two key points of pixel-level multi-focus image fusion are the clarity measure and the pixel coeffi- cients fusion rule. Along with different improvements on these two points, various fusion schemes have been proposed in literatures. However, the traditional clarity measures are not designed for compressive imaging measurements which are maps of source sense with random or likely ran- dom measurements matrix. This paper presents a novel efficient multi-focus image fusion frame- work for compressive imaging sensor network. Here the clarity measure of the raw compressive measurements is not obtained from the random sampling data itself but from the selected Hada- mard coefficients which can also be acquired from compressive imaging system efficiently. Then, the compressive measurements with different images are fused by selecting fusion rule. Finally, the block-based CS which coupled with iterative projection-based reconstruction is used to re- cover the fused image. Experimental results on common used testing data demonstrate the effectiveness of the proposed method.

Optimizing the Glass Fiber Cutting Process Using the Taguchi Methods and Grey Relational Analysis  [PDF]
Chao-Lieh Yang
New Journal of Glass and Ceramics (NJGC) , 2011, DOI: 10.4236/njgc.2011.11003
Abstract: This paper mainly describes a new approach to optimizing of the cutting glass fiber with multiple performance characteristics, based on reliability analysis, Taguchi and Grey methods. During the cutting process, the speed, the volume and the cutting load are optimized cutting parameters when the performance characteristics, which include Weibull modulus and blade wear, are taken into consideration. In this paper, optimization with multiple performance characteristics is found to be the highest cutting speed and the smallest cutting volume, and the medium cutting load. An analysis of the variance of the blade wear indicates that the cutting speed (47.21%), the cutting volume (14.62%) and the cutting load (12.20%) are the most significant parameters in the cutting process of glass fibers. In summary, the most optimal cutting parameter should be A3B1C2. The results of experiments have shown that the multiple performance characteristics of cutting glass fiber are improved effectively through this approach.
The Application of Optical CDMA-Based Fiber Radio Networks in Wireless Sensor Networks  [PDF]
Chao-Chin YANG
Wireless Sensor Network (WSN) , 2009, DOI: 10.4236/wsn.2009.12010
Abstract: One fiber radio scheme using shifted prime codes for interference elimination is proposed for optical code-division multiple-access (OCDMA) network. By taking advantage of the cyclic property of the shifted prime codes in the same code groups, the proposed compact decoder is low cost and suitable to be used in the task manager node in the applications of wireless sensor networks. The performance comparison for sev-eral OCDMA-based fiber radio networks is also given to clarify the advantage of the proposed one.
Effects of Message Strategy and Need for Cognition (NFC) on Consumer Attitudes: A Case of Corporate Social Responsibility (CSR) Advertising  [PDF]
Chao-Ming Yang
Open Journal of Business and Management (OJBM) , 2018, DOI: 10.4236/ojbm.2018.63055
Corporate social responsibility (CSR) advertising can differentiate brands and create product value, and an appropriate messaging strategy can help corporations launch persuasive CSR advertisements. This study employed a 2 × 2 mixed experimental design to operate two independent variables—message strategy of CSR advertising (CSR-informational advertising vs. CSR-transformational advertising) and the level of need for cognition (high-NFC vs. low-NFC)—in order to examine the effect of these variables on consumers’ attitudes toward advertising and brands. Three primary conclusions were reached: 1) the message strategy of CSR advertising influenced consumers’ attitudes toward advertising and brands; 2) NFC levels influenced consumers’ attitudes toward advertising and brands; and 3) individuals with high NFC exhibited more positive attitudes toward advertisements and brands in the CSR-informational advertising compared with those in the CSR-transformational advertising. Overall, using advertising to promote CSR activities can strengthen corporate image, promote consumer behavior, and consolidate consumers’ brand loyalty; however, corporations must actively consider how to appropriately design CSR advertising content.
Estimation of the Atmospheric Duct from Radar Sea Clutter Using Artificial Bee Colony Optimization Algorithm
Chao Yang
PIER , 2013, DOI: 10.2528/PIER12110104
Abstract: In this study, the Artificial Bee Colony Optimization (ABCO) algorithm has been proposed to estimate the atmospheric duct in maritime environment. The radar sea clutter power is calculated by the parabolic equation method. In order to validate the accuracy and robustness of ABCO algorithm, the experimental and simulation study are respectively carried out in the current research. In the simulation study, the statistical analysis of the estimation results in term of the mean squared error (MSE), mean absolute deviation (MAD) and mean relative error (MRE) are presented to analyze the optimization performance with different noise standard deviation, and the comparative study of the performance of ABCO and particle swarm optimization (PSO) algorithm are also shown. The investigation presented indicate that the ABCO algorithm can be accurately and effectively utilized to estimate the evaporation duct and surface-based duct using refractivity from clutter (RFC) technique in maritime environment. In addition, the performance of ABCO algorithm is clearly superior to that of the PSO algorithm according to the statistical analysis results, especially for the four-parameter surface-based duct estimation.
Photocatalytic Treatment of Microcystin-LR-Containing Wastewater Using Pt/WO 3 Nanoparticles under Simulated Solar Light  [PDF]
Chao Zhao, Yingnan Yang, Zhenya Zhang
Open Journal of Applied Sciences (OJAppS) , 2012, DOI: 10.4236/ojapps.2012.22011
Abstract: This study investigates the photocatalytic degradation of microcystin-LR (MC-LR) under simulated solar light using Pt modified nano-sized tungsten trioxides (Pt/WO3). Photocatalytic activity was higher during the degradation of MC-LR with Pt/WO 3 than with pure WO 3 or Ti O2 . The catalyst loading greatly affect the degradation performance. The rate of degradation is influenced by the initial pH of the reaction solution. This study also investigates the photocatalytic inactivation of cyanobacteria. The results show that the algal growth was successfully controlled by the Pt/W O 3 . This study suggests Pt/W O 3 photocatalytic oxidation with solar light is a promising treatment for water containing MC-LR.
Micromixing of a Two Phase System in a Stirred Tank with Multiple Impellers  [PDF]
Lei Yang, Jingcai Cheng, Ping Fan, Chao Yang
Advances in Materials Physics and Chemistry (AMPC) , 2012, DOI: 10.4236/ampc.2012.24B039

The competitive iodide/iodate reaction scheme was used to ascertain the micromixing in the stirred solid-liquid systems. Two different glass beads from 450 to 1250 μm were tested. The effect of solid particles on reaction selectivity with multiple impellers at different feed points has been investigated. It was confirmed that glass beads as a second phase were suitable for the study. The segregation index has changed significantly only for the medium-sized particles at relatively high solid holdups. The cloud formation was clearly observed for the medium-sized particles at a concentration of 12.12 wt. %. When feeding into the clear liquid above the cloud, the value of the segregation index increased significantly. However, in the presence of particles of 1-1.25 mm, the influence on the selectivity was negligible when the agitation speed was increased.




Power and rate allocation for video conferencing in cellular networks
Chao Yang and Scott Jordan
EURASIP Journal on Wireless Communications and Networking , 2013, DOI: 10.1186/1687-1499-2013-31
Abstract: We consider resource allocation for semi-elastic applications such as video conferencing. We propose to model user utility as a sigmoid function of the average bit rate over multiple time slots. The goal is to maximize the total expected user utility over time through allocation of downlink power and subcarriers in each time slot. We propose resource allocation that considers both the average rate achieved so far and the future expected rate, and show how the future expected rate can be estimated by modeling the probability that a user will be allocated a subcarrier in a future time slot. The algorithm can be implemented in a distributed fashion by an exchange of price and demand amongst users, the network, and an intermediate power allocation module. To reduce the complexity, we also propose a greedy algorithm to maximize incremental utility in the current time slot. The performance is illustrated using numerical results.
GPU-Based Volume Rendering for 3D Electromagnetic Environment on Virtual Globe
Chao Yang,Lingda Wu
International Journal of Image, Graphics and Signal Processing , 2010,
Abstract: Volume rendering is an important and effect algorithm to represent 3D volumetric data and 3D visualization on electromagnetic environment (EME) is one of the most important research fields in 3D battlespace. This paper presents a novel framework on visualizing the 3D EME by direct volume rendering on virtual globe. 3D power volumetric data is calculated based on the Longley-Rice radio propagation model (Irregular Terrain Model, ITM), which takes into account the effects of irregular terrain and atmosphere, and we use GPU-accelerated method to compute the EME volumetric data. The EME data are rendered using direct volume rendering method on virtual globe by assigning different color and opacity depending on user’s interactive input with color picker. We also propose an interactive method to show detailed information of EME at given place. This approach provides excellent decision supporting and plan-aiding for users.
Distance-Preserving SOM: A New Data Visualization Algorithm
Chao Shao,Yongqiang Yang
Journal of Software , 2012, DOI: 10.4304/jsw.7.1.196-203
Abstract: As the combination of topology-preserving dimensionality reduction and vector quantization, Self-Organizing Map (SOM) is suitable for visualizing the structure of high-dimensional mass data, which can be used to select more suitable algorithms for subsequent data analysis/processing. However, due to the fixed regular lattice of neurons, SOM has to require some color-coding scheme such as U-matrix to imprint the inter-neuron distance information on the lattice for the aim of visualization. Even so, the structure of the data may often appear in a distorted and unnatural form. In order for the map to visualize the structure of the data faithfully and naturally, the similarity/dissimilarity information should be preserved on the map directly. To do this, a novel variant of SOM, i.e. Distance-Preserving SOM (DPSOM), was presented in this paper. DPSOM can adjust the positions of neurons on the map according to the corresponding distances in the data space, and thus preserve the distance information on the map directly, as Multidimensional Scaling (MDS) does. What’s the most important, DPSOM can automatically avoid the excessive contraction of neurons to one point without any additional parameter, which makes it advantageous over those existing position-adjustable SOMs. Finally, DPSOM can be verified by experimental results well.
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