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Interconnected power systems experienced a significant increase in size and complexity. It is computationally burdensome to represent the entire system in detail to conduct power system analysis. Therefore, the model of the study system must be retained in detail while the external system can be reduced using system reduction techniques. This paper proposes a measurement-based dynamic equivalent in...
Graph Processing has been widely used to capture complex data dependency and uncover relationship insights. Due to the ever-growing graph scale and algorithm complexity, distributed graph processing has become more and more popular. In this paper, we investigate how to balance performance and cost for large scale graph processing on configurable virtual machines (VMs). We analyze the system architecture...
We herein propose an evolutionary multi-agent system (EMAS for short) to build an ensemble of surrogates for prediction. In our EMAS, we employ six kinds of basic surrogates, including Gaussian process, Kriging model, polynomial response surface, radial basis function, radial basis function neural network, and support vector regression machine. We define each surrogate as one agent and co-evolve parameters...
To retrain an existing multilayer perceptron (MLP) on-line using newly observed data, it is necessary to incorporate the new information while preserving the performance of the network. This is known as the “plasticitystability” problem. For this purpose, we proposed an algorithm for on-line training with guide data (OLTA-GD). OLTA-GD is good for implementation in portable/wearable computing devices...
Many important properties of materials such as strength, ductility, hardness and conductivity are determined by the microstructures of the material. During the formation of these microstructures, grain coarsening plays an important role. The Cahn-Hilliard equation has been applied extensively to simulate the coarsening kinetics of a two-phase microstructure. It is well accepted that the limited capabilities...
In this paper, we propose a method for generating guide data, and investigate its efficiency and efficacy for on-line learning with guide data. On-line learning in this research updates a learning model initialized by the decision boundary making algorithm proposed by us in our earlier study. The problem is that, if the guide data are not properly generated, on-line learning may require high computational...
To study the transverse flow pressure and flow pressure torque generated by non-uniform flow that the ship encounters when it passes the entrance of breakwater in the process of driving away from the port, a ship model sailing at the end of breakwater and a digital basin were established by utilizing computational fluid dynamics. In this way, numerical calculation was conducted for the tide field...
This paper provides that when the beam current increases to a certain level, the number of ions must be increased and the space charge effect must be added in accelerator physics in order to gain high precise status of ions. It's needed high performance computing to complete this work which needs TFLOPS level capability. So, a PC cluster based on Beowulf architecture and MPI2 was constructed, we put...
This article is main to confirm the hotel fire development process and to analyze the main cause of death. Based on the hotel fire investigation results, a FDS simulation model was used to analyze the temperature field, CO concentration and volume fraction of O2 about 1.5m above each death point. Then, the time that each factor reaches a critical condition such as limiting temperature of human body,...
In virtual reality, creating suitable deformation / force model and accelerating the efficiency of data processing are effective means to real-time response of flexible deformation. a processing algorithm of flexible deformation using GPU's massively parallel computing power and collaborative architecture of CPU and GPU based on the mechanical model of the spring-mass is presented. as a result of...
To deal with multi-modality in human pose estimation, mixture models or local models are introduced. However, problems with over-fitting and generalization are caused by our necessarily limited data, and the regression parameters need to be determined without resorting to slow and processor-hungry techniques, such as cross validation. To compensate these problems, we have developed a semi-parametric...
At present, many programs of water and sediment mathematical models with better practicability and commonality are compiled with FORTRAN, and it is difficult to rewrite them. With the design concept of out-process server, object-oriented programming method and COM component technology, a integrated system is set up which has the functions of parameterized modeling, real-time dynamic display, visualization...
Flow behavior and heat transfer performance of gas and particles in a vertical tube are modeled by means of the combination of large eddy simulations for both gas and solid phase, and the kinetic theory of granular flow for particle collisions. The subgrid-scale viscosity model and subgrid-scale thermal conductivity model for gas phase and solid phase are based on the Smagorinsky form. The predicted...
Negative selection algorithm is one of the most widely used techniques in the field of artificial immune systems. This paper proposed an approach to implement negative selection algorithm based on FPGA, aiming at fault detection problems. The negative selection algorithm generally uses binary matching rules to discriminate self from non-self. Firstly, three most widely used binary matching rules were...
A non-grid-connected wind power system is a complex system that includes several subsystems such as a wind turbine subsystem, non-grid-connected electric generator subsystems, a non-grid-connected wind power control subsystem, gas-solid coupling vibration subsystems, and high-energy-consuming special load subsystems. It is a multi-objective, multi-factor, higher-order non-linear dynamics of large-scale...
Based on the technology acceptance model, the paper developed a conceptual model for mobile game adoption. A questionnaire was developed built upon previous studies. A survey was then conducted, which received 267 useful responses. The results suggested that users perceive mobile game differently with regard to experience and gender difference. It is suggested that the users who have more computer...
Marine cage fish farming has grown dramatically during the last three decades in coastal counties worldwide, however, its adverse environmental impact has already led to growing concerns. The control of carrying capacity is a key problem for cage fish farming. Based on the fish stock and eco-environment survey data in a cage fish farm area and its vicinity in Dapeng Ao Cove, Daya Bay, South China...
In this paper, we propose a method to measure the distance between the camera and object of the scene. In our method, first we calculate the distance between the camera and the scene, and then measure the depth of the objects of the scene. The measurement of depth needs some information from camera, so we use the two symmetric frames to calculate the parameters of camera. In the second step, to remove...
A dynamic substructural method (DSM) is developed to simulate the board level drop test of a wafer level chip scale package (WL-CSP). Parametric study on package location at the test board, printed circuit board (PCB) thickness and WL-CSP package thickness is conducted in the board level drop test simulations. The peeling stress and first principle stress of the solder joints are checked and discussed...
This paper investigates the electromigration induced hillock generation in a wafer level interconnect structure through numerical approach. The electronic migration formulation that considers the effects of the electron wind force, stress gradients, temperature gradients, as well as the atomic density gradient has been developed. The parameter study for the Al line geometry with different width and...
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