Feature-based adaptive texture visualization for vector field

An adaptive sparse texture rendering method is proposed to solve for occlusion effects when visualizing 3D flows, building on an extensible fuzzy feature extraction approach. First, the flow feature is described by fuzzy theory and rules for some typical features are obtained. The significance value for each voxel is then calculated by a clustering method under the minimum square-sum rule. An adaptive Gaussian noise field is obtained from the significance field by a noise generation process, and is used as the input for the LIC convolution process. We also present two cool/warm-illumination-based approaches to overcome the shortcomings of texture-based visualization methods, which are usually unable to represent the flow direction. The experiments show that our method can effectively extract the typical flow feature region and can be extended to other flow features easily, and the adaptive technique used lessens the occlusion effects significantly. Furthermore, the main disadvantage of the texture-based method, that is, the direction representation problem, can also be solved by the proposed cool/warm illumination methods.     

Managing behavioral academic self-esteem using FuzzyXteem

Behavioral academic self-esteem （BASE） has been used with children of preschool, elementary, and junior high school classes, both individually and in groups. In this study, BASE is used to estimate the factor structures and determine the levels of academic self-esteem of the student. The current practice of the existing system using BASE scale may be scored by hand or by computer based on the rigid crisp values to represent rating number one through five. Since BASE requires the ability for estimating the factor structure and also the ability to explain how the conclusion is derived, therefore artificial intelligent techniques that are required to perform BASE must be able to perform estimation and provide reasoning. For this purpose, fuzzy logic and expert system have been integrated in a web-based environment to demonstrate the use of hybrid system on BASE factor structure and levels of academic self-esteem. For each BASE factor, the sub score is provided based on the classifications of academic self-esteem and their respective ranges. In FuzzyXteem, users in particular teachers, counselors, or parent are allowed to measure students＇ self-esteem at early age using real time computation. FuzzyXteem facilitates user by automatically evaluating BASE factors and helps the user diagnoses their students＇ levels of academic self-esteem in 3 ratings： low, moderate and high. It is also able to provide explanation and describe how the conclusion can be derived. The system has been successfully tested by the counselors and conforms to the BASE factor rating scale and sub-scores. FuzzyXteem can be used as an aid to decision making in improving a person＇s self esteem, and indirectly increases an individual for productivity. The same system functions can be applied to business organization for managing and improving the organizations performance.     

Flocking of mobile agents with fuzzy controller

Based on individual local observed information of the swarm, a fuzzy logical controller （FLC） of the attraction/repulsion function is built. Combining with the rate consensus algorithm, the swarming of the separation, cohesion and alignment is achieved. Based on the optimal controller theories, a capability target is used to measure the states of the system. In the computer simulation, it is shown that the aggregation of the multi-agent systems can get consensus following a mobile leader from the individual local perceived information.     

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.     

Adaptive sliding mode-like fuzzy logic control for nonlinear systems

Sliding mode-like fuzzy logic control （SMFC） algorithm for nonlinear systems is presented in this paper. Firstly dead zone parameters of sliding mode control （SMC） are selftuned by proper adaptive laws and then combined into fuzzy logic system （FLS） to compose the opportune fuzzy logic control （FLC）, which is equivalent to the predesigned SMC controller with self-tuning parameters. Robustness and invariance to the uncertainties of the closed-loop systems are improved and chattering of the SMC is eliminated. Finally simulation results of numerical examples show that the proposed control algorithm is efficient and feasible.     

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.     

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.     

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.     

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.     

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.     

Multi-agent based virtual environment and its application

Most existing researches on virtual environment in mining industry are mainly concentrated on the geometric presentation to create immersive experiences and little attention has been paid on system modeling and formal specification. This paper focuses on modeling methodology of coalmine virtual environment （CMVE） and its application in underground mine safety. A hierarchical architecture model for CVME was present based on multi-agent technology. The proposed model consists of hardware, network and operating system layer, geometric and physical layer, multi-agent layer and man-machine interface layer, and has distinctive features such as reusability, reconfigurability, scalability, intelligence and interactivity. To make multi-agent based CMVE framework more precise, related concepts and agent properties were formally defined. In addition, the design method of typical agent was also discussed and a virtual miner model was built. Finally, an application system for behavior simulation of underground mine safety was introduced. The case system achieves interactive control of virtual environment and fully indicates the capability of producing effective virtual environment for behavior simulation of underground mine safety.