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We present a simulation model based on the Nash equilibrium for the analysis of the auction based day ahead electricity generation market. Starting from the empirical data distributions of the market clearing price and the energy demand registered by the supervisory authority, the model allows evaluating the market competitiveness and preventing anticompetitive actions by participants. It also represents...
Computational simulations and reliability analysis were used to optimize an automated ultrasonic system used in pipe inspections in a manufacture plant in operation. Through the application of these tools the quality of the final product could be improved from more efficiency inspections. The main purpose was to establish the influence of each variable involved in the capacity of the ultrasonic system...
This paper presents a case study of performance comparison between a passive load pull system that uses a vector network analyzer (VNA) as its receiver, and an active load pull system that uses a sampling oscilloscope. The objective of the comparison was to enable parallel research activities between two sites. The two systems are independently used to measure the same device under test, a packaged...
Robustness analysis of mathematical models is of high importance for studying cancer and its proliferation. In this paper, we introduce the concept of “conditional robustness” for nonlinear ODE models of cancer, and we propose a method to identify regions in the parameter space which exhibits desired behaviors. The proposed approach allows the selection of key parameters influencing system robustness,...
Underuse of the regulated radio spectrum is being addressed using a cognitive radio network approach termed dynamic spectrum access. Primary users have priority over the regulated radio spectrum. Secondary users may use the residual air time. We focus on the problem of meeting on a common channel by a group of secondary users. Under the asymmetric model, the secondary users have different sets of...
This paper presents a methodology of performance assessment for precision guided system. Hierarchical performance index system is established with a tree-like structure. Scheme of performance evaluation platform design is presented with four main parts, such as process management system, vehicle guidance simulation system, data processing system, and evaluation system. Based on the scheme, performance...
The paging mechanism is widely used in most modern systems to handle the virtual memory. Many page replacement algorithms have been proposed. Therefore, the cor-rectness and reliability of virtual memory management systems become very important. It is essential to formalize and verify the system in a formal way. In this paper, we model the virtual memory management system with MSVL, which is a parallel...
This paper presents a new meta-heuristic evolutionary algorithm using Cat-Swarm-Optimization (CSO) for an optimal placement of multiple distributed generators to achieve a higher overall system reliability in large-scale primary distribution networks. Normally, reliability issues are of major importance in power distribution system. Thus, a composite reliability index is used in the proposed work...
Prior information is easily obtained in many applications of compressed sensing. This paper considers the sparse signal recovery using certain types of prior information. Our major contribution is proposing two novel reconstruction algorithms with prior information named as logit weight simultaneous orthogonal matching pursuit (LW-SOMP) and logit weight simultaneous orthogonal matching pursuit with...
This paper describes the impacts of penetration of several small scale wind generators on the distribution power network. Two wind generator technologies, namely, Doubly-Fed Induction Generator (DFIG), and Converter Driven Synchronous Generator (CDSG) are considered. The main focus is to study the impacts of increasing the penetration of small scale distributed generators (wind generators) on the...
Cloud computing is a developing computing paradigm that has inclined every other entity in the digital industry, it may be government sector or the personal sector. Taking into account the mounting significance of cloud, finding new ways to advance cloud services is an area of concern and research center. Usually clouds have powerful data centers to handle large number of users. Cloud is a platform...
Structural features exist on the microscopic level derived from differences between single node properties, mesoscopic level derived from properties shared by groups of nodes, and macroscopic level derived from properties of the whole network. In this study, we simulate systemic failures on network models that show typical mesoscopic topological features, the core-periphery structure and the modular...
Index-less indexed flash code (ILIFC) has excellent worst-case performance. The layered ILIFC (L-ILIFC) method proposed by Suzuki and Wadayama enables a change of indices when the layer level of charge increases in a sub-block of memory cells. L-ILIFC allows a larger average number of rewrites than ILIFC. Kuribara and Fujisawa developed the L-ILIFC to improve the average-case performance. We call...
In spite of the existing protection limits and despite the fact that no research results have proven any health effects below these limits, the public fears towards electromagnetic fields, mobile telephony and the radiofrequencies used, remain important. The EMF exposure from wireless communication systems and networks is often cited as a major cause of public concern and is frequently given considerable...
This paper presents, a simple and robust Adaptive Neuro-Fuzzy Inference System (ANFIS) for vibration control of a Vehicle Active Suspension System (VASS) and compares with conventional Proportional, Integral and Derivative (PID) controller and an Artificial Neural Network (ANN) controller which is trained with conventional control data. The main objective is to enhance the travelling comfort to the...
In interval type-2 fuzzy logic systems (IT2-FLSs), the inference engine outputs are type-2 fuzzy sets, and type reduction (TR) is needed to convert them into a type reduced set. Recently, researchers have proposed many efficient TR algorithms to find the boundary of the type reduced set, but they don't have an effective scheme to obtain the defuzzified crisp output. In this paper, we propose an optimal...
In-wheel motor drive (IWMD) is currently a hot topic in electric vehicle research and development for its remarkable advantages. But the extra wheel mass from the motor worsens vehicle ride comfort and road holding. Motor vibration is another problem, which does harm to motor performance and service life. As a trial response to the above problems, a 1/4 car model is established for electrical vehicles...
There are two sections in support quantitative parameter determination for equipment requirement argumentation, which contains index selection and determination method. The paper analyzes the selections of quantitative parameter firstly, and then makes sure the needs and common process. For the characteristics of representative parameters, the paper builds up a support object model and system model...
The method for the regression analysis is investigated in the reliability assessment of the weapon equipment in this paper. The optional curve distribution is selected and several kinds of weapon equipment reliability are calculated accurately, through the regression analysis on the possible distribution functions of the weapon equipment. Finally, the feasibility and superiority of this method are...
In consideration of uncertain factors inherent in safety and risk assessment of electric system fault location, a reliability prediction method based on interval analytic hierarchy process (IAHP) is introduced in this paper to reduce faults and system risk. After considering the major fault factors, the interval eigenvector method (IEM) is proposed and the conditional probability matrices for influencing...
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