The Modares Journal of Electrical Engineering
Volume:10 Issue: 1, 2010

In this study, generation of the transient evoked ooacoustic emissions in human ear has been simulated using a new electroacoustic model. The method of state variables was adopted to calculate the auditory model, and numerical integration methods have been used to solve differential equations in Matlab. Simulation results have been compared with the real data. In this study, latency curves, frequency spectrum of the simulated TEOAE and calculation errors were used to validate of the model. The results of this research show that simulated outputs are similar to clinical data.

Static verification and software testing are not able to verify software single-handedly. Therefore, another approach called run-time verification dealing with verifying software behavior against constraints at run-time received attention. However, the run-time verification faces the problem of verification of run-time activities against the constraints are specified in high-level and abstractly because their natures are different from each other. Focused on reactive software, in three steps this paper presents an approach called SRG to generate run-time verification rules in terms of run-time activities from abstract specification and constraints of problem. The approach: (1) presents a visual and reactive model of problem specification and then generates ground rules of run-time behavior of software in real-time logic, (2) specifies in real-time logic the constraints should be met by software at run-time, and (3) generates verification rules from the constraints and the ground rules. Last of all, the SRG approach is applied to message communication protocol.

In restructured power systems and in a wholesale power market, a distribution company as a market player intends to maximize its profit by utilizing its options. Hence determining an optimal energy acquisition strategy for a distribution company is vital, for attaining to this goal. However an important challenge for determining these strategies is forecasting other competitors and Generation companie's strategies and competitor's incomplete information must be considered as uncertainties in the problem. In this paper, an energy acquisition model for a distribution company with considering distributed generations, interruptible loads and information's uncertainties in a day-ahead electricity market has been presented. In the proposed method, distribution company energy acquisition strategy has been modeled as a two-level multi-objective optimization problem and has been solved by using nonlinear complementarities and L-P metric methods and then, the uncertainties in the competitor's information, has been applied to the model by using Monte Carlo method. An 8-bus system is employed to illustrate the proposed model and algorithm.

A new approach for propulsion system layout that increases power and enhances the efficiency of submarine propulsion system is proposed.using our method,the efficiency and power of the system enhances without increasing volume and weight. This layout improves the performance compared to the usual layout, which employs double-armature motors in cruise speed where efficiency is more critical. This layout needs a complicated control system due to the difference of the motors. In this paper, first we suggest a type of complex controller and prove its controllability and stability. Then the control system is reduced to a simple system using the idea of low and fast dynamics separation. The non-linear MIMO system is split into two SISO systems, which simplifies the system so that the classical controllers would be applicable. Simulation results for both the classic and fuzzy controllers are also presented. A small model system which is built based on this approach, justifies the results.

Over the recent years, rapid development of Information Technology (IT) and Electronic Commerce (e-Commerce) has dramatically affected world trade and the way business is conducted. Also the benefits of using e-commerce and other internet-based technologies have been well recognized through extensive surveys pointing the dominant role of IT in different industries. However, implementation of any new technology such as e-commerce in business relationships and applying ICT tools require vital infrastructures and urges major changes within companies to adopt the new technology. Therefore, to ensure a productive and beneficial implementation of internet-based technologies, in the first step, one needs to investigate infrastructures and measure electronic readiness (e-readiness) of organizations in this regard. To address such a need, this paper describes a procedure to assess e-readiness of SMEs in technology-affected environments by applying VERDICT as an e-readiness assessment model. This study as an initial application of VERDICT within automotive industry, investigates e-readiness level of downstream within the biggest vehicle manufacturer of Iran i.e., Iran Khodro Industrial Group, and has also some contributions in the applied model based on empirical findings which were achieved through an extensive survey by distributing revised questionnaires of VERDICT and following a quantitative approach. Furthermore, an efficient route of benchmarking provides scientific comparison between e-readiness level of the case studied in this paper and that of other companies selected from another market in UK. Ultimately, the achievements of this research would result in some implications for both theoretical and managerial peopel where an outline would be provided for organizations across different industries to facilitate electronic commerce applications efficiently by investigating and improving their essential infrastructures through assessing their overall level of electronic readiness.

A critical protection requirement for grid connected distributed generators (DG) is anti-islanding protection. In this paper, a new islanding detection method for any possible network loading is proposed based on utilizing and combining various system parameter indices. In order to secure the detection of islanding, eight intentional disturbances are imposed to the system under study in which two sets of them simulate the islanding condition. The proposed technique uses the adaptive notch filters for extracting the frequency of oscillation of generator’s output waveform as one of the output parameter indices. An advantage of this technique is that it does not necessitates varying the islanding detection boundaries under various system loading conditions.

In this paper, we propose a novel method for fully automatic detection and tracking of human heads and faces in video sequences. The proposed algorithm consists of two modules: a face detection module and a face tracking module. The Detection module, detects the face region and approximates it with an ellipse at the first frame using a modified version of AdaBoost cascaded classifier. The detection module is capable of considering the 2-D head pose rotation. The tracking module utiliyes a combination of deformable mesh energy minimization and feature matching approaches. In order to track a face, features are extracted in the face region to tessellate the human face with triangular unstructured meshes. For tracking a mesh, it is necessary to define mesh energies including internal and external energies. We have used new energy definitions for both the internal and the external energies which can accurately track rigid and non-rigid motions of a face and facial features at subsequent frames. We tested the proposed method with different video samples like cluttered backgrounds, partial illumination variations, put on glasses, and 2-D and/or 3-D rotating and translating heads. The experimental results showed that the algorithm is rotation insensitive and has high accuracy, stability and also has convergence for face detection and tracking