Color image recognition method based on the prewitt operator

A method of extracting the target image edge combined with digital image recognition technology is discussed. The prewitt algorithm is employed to detect the edge boundary of the given color image and the quadtree segmentation technique is employed to cut down the storage cost of identification codes. The edge information of color images is exploited to design the identification codes. This method can be used to verify the integrity of the color images by detecting the modified areas of the color images. The experiment results show that the method can locate and extract the modified areas of the color images, operate easily and has well practicability.     

Shot boundary detection based on mutual information and canny edge detector

Shot boundary detection servers as the preliminary step to video retrieval. Most of error detections in the present algorithms are caused by object and camera. Many researchers make use of mutual information to detect shot boundary, and the effect is good, however, object motion reduce performance of algorithm in the methods. In this paper, the author present a novel method of shot boundary detection based on the knowledge of mutual information and canny edge detector. We extract video frame edge using canny edge detector, then distinguish object motion and shot transform effectively by analyzing frame edge differences, reducing error detections caused by object motion, improving recall and precision. Experiments prove this method is robust to object motion, performance is better.     

Edge detection based multi-material interface extraction on industrial CT volumes

X-ray CT scanning is recently becoming a popular technology for industrial applications as well as medical ones. Since the geometrical accuracy is often important for industrial applications, more precise methods for processing CT volumes are required. This paper proposes a method for extracting the multimaterial interfaces on CT volumes obtained by industrial CT scanners. Instead of extracting isosurfaces we detect edge-points, at which the norm of the volume gradient takes a local maximum in the gradient direction, and then interpolate the points as the material interfaces represented by the zero-level of compounded implicit functions. In order to achieve a robust material-identification, multilabel graph-cut is utilized in our method. Using edge-points, we can reduce the inaccuracy caused by CT scanning artifacts.     

Performance and scalability analysis of image processing applications on the IBM Cell BE simulator

The IBM Cell Broadband Engine （BE） simulator simulates parallel execution of programs on a state-of-the-art 9-core Cell processor model. In this paper, we report our experience with implementing, simulation, and analyzing the performance of image processing applications on the IBM Cell Broadband Engine Simulator measured on the IBM Cell We report the performance simulator for PPE-only and embedded applications, and with various input data file sizes or numbers of SPEs enabled. The simulator results indicate that Cell BE processor can outperform modern single-core RISC processors in orders of magnitude on SIMD compute intensive applications such as edge detection. We also explore different features and development processes available on the simulator. Different techniques for obtaining accurate results （close to real hardware result） are also explored.     

Unsupervised image segmentation based on MRFs and graph cuts

Markov random fields （MRFs） can be used for a wide variety of vision problems. In this paper we will propose a Markov random field （MRF） image segmentation model. The theoretical framework is based on Bayesian estimation via the energy optimization. Graph cuts have emerged as a powerful optimization technique for minimizing energy functions that arise in low-level vision problem. The theorem of Ford and Fulkerson states that min-cut and max-flow problems are equivalent. So, the minimum s/t cut problem can be solved by finding a maximum flow from the source s to the sink t. we adopt a new min-cut/max-flow algorithm which belongs to the group of algorithms based on augmenting paths. We propose a parameter estimation method using expectation maximization （EM） algorithm. We also choose Gaussian mixture model as our image model and model the density associated with one of image segments （or classes） as a multivariate Gaussian distribution. Characteristic features related to the information in color, texture and position are extracted for each pixel. Experimental results will be provided to illustrate the performance of our method.     

Rescheduling to minimize total completion time under a limit on the makespan of the original jobs

We consider the rescheduling problems arising when two agents, each with a set of nonpreemptive jobs, compete to perform their respective jobs on a common processing resource. Each agent wants to minimize a certain objective function, which depends on the completion time of its jobs only. In this paper, we consider the two agents rescheduling problems for jobs on a single machine to minimize total completion time under a limit on the makespan of the original jobs. We show that the considered problems can be solved in polynomial time or pseudopolynomial time.     

Analysis and design of light emitting diodes for optoelectronic applications

This paper presents detailed analysis and design of light-emitting diodes for optoelectronic applications. Both internal and external efficiencies are investigated taking into account the nonradiative recombination process and the total internal reflection. The dependency of the LED output power on the efficiency and double pass parasitic absorption is studied. Effect of the temperature variation on the LED performance is also studied. A complete design of an encapsulated LED operating at 1.55 m has been investigated. The design illustrates layer structures and thickness, material compositions, and index of refraction. The results show that decreasing the radiation recombination time increases the quantum efficiency, The quantum efficiency increases from 15% to 70% as the radiative recombination time reduced from 0.5 s to 0.05 s. It is also shown that increasing the width of the active region increases the output power.     

Service for consistency management of replicas in data grid

Today, grid technology has evolved to the point where it is no longer a theory but a proven practice. It represents a viable direction for corporations to explore grid computing as an answer to their business needs within tight financial constraints. In general, grids enable the efficient sharing and management of computing resources for the purpose of performing large complex tasks. Data grid provides the data management features to enable data access, synchronization, and distribution of a grid. The main aim here is to ensure a efficient access and quality data, to improve the availability, and be able to continue delivering acceptable services. In such systems, these advantages are not yielded by means others than replication mechanisms. The effective use the replication technique involves several problems, in relation with the problem of the coherence maintenance of replicas. Our contribution consists new service for the consistency management in the data grid. This service combines between pessimistic and optimistic approaches, taking into account benefits of both approaches, to find a compromise between performance and quality. In addition, our service has been extended by a mechanism placement of replicas based on economics model.     

Terrain trafficability simulation of the 4-axel off-road vehicle

In order to estimate the terrain trafficability of the 4-axel off-road truck, the 2D plain stress FEM tire model is constructed and the constitutive equation of the viscoelasticity elements is derived. After analyzing the spring-damper model of the suspension, the 9-DOF model of the off-road truck is presented. With the Lagrange dynamics method, the differential algebraic equations are completed and the gear method is employed to resolve the DAES. Under the actual parameters, the terrain trafficability simulation of the 4-axel off-road truck is carried out. The simulation results of the truck climbing the hillock show that the really ground clearance is 0.48 m and the interference area is specified.     

Improving extraction of watermarks in color attacked watermarked images

A new approach for modeling color attacks of RGB-color watermarked images is presented in this paper. We have used a based interpolation watermarking algorithm and supposed that the attacks are simulated by a scaling of the colors followed by a translation. Then give bounds for the extracted watermark depending on the original image, the watermark and the attack. Different attacks like LSB, embedding another watermark, Stirmark have been simulated and the quality of the extracted watermark is discussed in each case.     

Application of data warehouse in power transformer diagnosis system

Electric power companies have accumulated huge amounts of historical fault data of power transformer after many years operation, but the decision-makers have not been greatly supported because of the limitation of knowledge and can not make decision for transformer condition assessment. A real power corporation is selected as the research background. Based on analyzing and reorganizing the various existing data sources, the power transformer fault information data warehouse is constructed and snowflake mode cubes for multi-dimension data are established. By using Processing） and data mining analyzing and inquiring data OLAP（On-Line Analysis technology, forecasting load, warehouse are realized from different point view and multi-layers, including rolling up, drilling down, slicing, dicing and rotating etc.. Moreover, this paper proposes a novel transformer fault data mining system based on data warehouse. Finally, bayes network of fault patterns are obtained, which can greatly help the decision-making for the system operating and management. The results show that transformer fault diagnosing system based on data warehouse technology can provide efficient decision supporting.     

Audio recording of rock/metal music using personal computers

Personal computers and their relevant technologies have been widely used by artists and musicians to create and record their own music and electroacoustic compositions. ＂Laptoppers＂ are famous for using their laptops for their dance/electronic beats and music. A genre that has not relied on the use of PCs for the production of its music is rock/heavy metal, since bands of these genres usually book recording studio time where professionals take on the task of the production using expensive equipment. This study shows that in today＇s day and age, and with the software and hardware currently available, it is possible for rock/metal artists to use their PC to record and produce their own CD successfully and at an extremely competitive cost. The effort＇s of a rock band that does just this is followed from the beginning and the results of their CD production and song successes is presented. The article also serves as a ＂HowTo＂ guide that bands on a low budget can follow to make good quality demo CDs and enter the music business industry.     

The existence and synchronization properties of symmetric fix-free codes

Fix-free codes are a type of variable length codes with both prefix-free and suffix-free properties, and there are two types of fix-free codes： symmetric fix-free codes and asymmetric fix-free codes. In this paper, we mainly discuss symmetric fix-free codes. First, the existence of symmetric fix-free codes is studied in detail, and some necessary and sufficient conditions are proposed. We also discuss the problem of achieving synchronization of symmetric fix-free codes, which is important in application. We then establish a scheme with synchronizing codewords to resolve this problem.     

Power efficient scheme for self localization in wireless sensor networks

With the tremendous applications of the wireless sensor network, self-localization has become one of the challenging subject matter that has gained attention of many researchers in the field of wireless sensor network. Localization is the process of assigning or computing the location of the sensor nodes in a sensor network. As the sensor nodes are deployed randomly, we do not have any knowledge about their location in advance. As a result, this becomes very important that they localize themselves as manual deployment of sensor node is not feasible. Also, in WSN the main problem is the power as the sensor nodes have very limited power source. This paper provides a novel solution for localizing the sensor nodes using controlled power of the beacon nodes such that we will have longer life of the beacon nodes which plays a vital role in the process of localization as it is the only special nodes that has the information about its location when they are deployed such that the remaining ordinary nodes can localize themselves in accordance with these beacon node. We develop a novel model that first finds the distance of the sensor nodes then it finds the location of the unknown sensor nodes in power efficient manner. Our simulation results show the effectiveness of the proposed methodology in terms of controlled and reduced power.     

Mathematical model for in-line determination of heat transfer coefficients in a steam generation process

This paper shows an in-line determination of heat transfer coefficients in a steam generator. Aqueous working solution of lithium bromide ＋ ethylene glycol was considered. Heat transfer coefficients were calculated for the working solution and for heating water. A plate heat exchanger was used as the steam generator. Type T thermocouples were used to measure the wall temperature in the plate heat exchanger, which is a main component in an absorption system. Absorption systems are equipments able to use alternative energy, diminishing polluting emissions. Commercial software Agilent Vee Pro 7.5 by Agilent Technologies was used to measure the temperatures and for the determination of the heat transfer coefficients. Whir the in - line determination of the heat transfer coefficients it will be possible to know the best operation conditions during the experimental test. There are not previous works in a steam generator with this working solution.     

Parallel solution for finite element linear systems of equations on workstation cluster

With the advances in the high speed computers network technologies, a workstation cluster is becoming the main environment for parallel processing. Finite element linear systems of equations are common throughout structural analysis in Civil Engineering. The preconditioned conjugate gradient method （PCGM） is an iterative method used to solve the finite element systems of equations with symmetric positive definite system matrices. In this paper, the algorithm of PCGM is parallelized and implemented on DELL workstation cluster. Optimization techniques for the sparse matrix vector multiplication are adopted in programming. The storage scheme is analyzed in detail. The experiment result shows that the designed parallel algorithm has high speedup and good efficiency on the high performance workstation cluster. This illustrates the power of parallel computing in solving large problems much faster than on a single processor.     

Approximate Poisson disk sampling on mesh

Poisson disk sampling has been widely used in many applications such as remeshing, procedural texturing, object distribution, illumination, etc. While 2D Poisson disk sampling is intensively studied in recent years, direct Poisson disk sampling on 2-manifold surface is rarely covered. In this paper, we present a novel framework which generates approximate Poisson disk distribution directly on mesh, a discrete representation of 2-manifold surfaces. Our framework is easy to implement and provides extra flexibility to specified sampling issues like feature-preserving sampling and adaptive sampling. We integrate the tensor voting method into feature detection and adaptive sample radius calculation. Remeshing as a special downstream application is also addressed. According to our experiment results, our framework is efficient, robust, and widely applicable.     

Local thresholding with adaptive window shrinkage in the contourlet domain for image denoising

Threshold selection is a challenging job for the image denoising in the contourlet domain. In this paper, a new local threshold with adaptive window shrinkage is proposed. According to the anisotropic energy clusters in contourlet subbands, local adaptive elliptic windows are introduced to determine the neighboring coefficients with strong dependencies for each coefficient. Utilizing the maximum likelihood estimator within the adaptive window, the signal variance is estimated from the noisy neighboring coefficients. Based on the signal variance estimation, the new threshold is obtained in the Bayesian framework. Since it makes full use of the captured directional information of images, the threshold extends to the anisotropic spatial adaptability and behaves reliably. Simulation experiments show that the new method exhibits better performance than other outstanding wavelet and contourlet denoising schemes obviously, both in the PSNR value and the visual appearance.