In static synchronous series compensator (SSSC) a controllable AC voltage is generated by a voltage-source converter. There are two control channels for controlling magnitude and phase of the voltage. When this device is used for damping inter-area oscillations in multi-machine power systems, a damping stabilizer can be included in the both channels. In this paper, a method for simultaneous coordinated design of power system stabilizer (PSS) and SSSC-based stabilizer is presented using quadratic mathematical programming. In this method gain and phase of a lead-lag stabilizer can be simultaneously calculated. By this method, the effect of the SSSC-based stabilizer in both control channels on damping inter-area oscillations has been assessed. Obtained results including eigenvalue analysis and the non-linear simulations on two multi-machine power systems under different operation conditions show that usage of SSSC stabilizer in the suitable control channel can significantly reduce the control cost of the stabilizer.

Keywords:
Damping stabilizer

Inter-area oscillations
SSSC
PSS
quadratic mathematic programming

The multidisciplinary field of Microwave-Photonics is at the convergence of photonic and microwave or even wireless technologies. In this context, processing, conversion and transmission of microwave as well as high data rate digital and wireless signals use broadband optical techniques with many applications today. However, the frequency band available is frequently changing with up-to-date commercial standards and it is necessary to up- or down- convert the frequency of the electrical signals by using a suitable optical approach for mixing. This paper intends to give an overview on the optical techniques used for frequency conversion, i.e. mixing and gives advantages and drawbacks of all techniques presented.

Keywords:
Microwave-photonics

Mixing
Wireless systems
Millimeter-wave
Ultra wide-band.

In this paper we introduce the notion of Detection Framework to facilitate reasoning and cooperation process of detection and response systems. The presented framework denes four dimensions as requirements to be satised: \What to detect", \Where to inspect", \How to decide", and \How to alert". The rst dimension tries to unify the understanding of the problem between systems. The second, will introduce detection features and parameters. The third dimension exactly states how intelligent systems or expert knowledge should be deployed while the task of the fourth is to unify alert and message exchange format. To address \What to detect" aspect of our framework, we have considered network denial of service and have presented an ontology which relates three taxonomies of DoS attacks, each from a dierent point of view: Attack Consequence, Attack Location and Attack Scenario. For scenario based taxonomy, we present a decision tree-like structure which can be used as a base for attack detection. All these taxonomies are then related to each other in an ontology. An implementation of this ontology using Web Ontology Language (OWL) might help IETF's IDMEF to construct a base for more accurate alert correlation. Key Words: Availability, Denial of Service, Detection Framework, Ontology, Taxonomy

An algorithm for guiding a launch vehicle carrying a small satellite to a sun synchronous LEO is presented. Before the launch, a nominal path and the corresponding nominal control law for the entire journey are computed. For each sampling instant during the guided flight, a linear equation approximately relating the differences between the actual and nominal values is considered and a Least-Squares formula using data from on-line state measurements is applied to compute the actual control. The coefficient matrices of the Least-Squares formula can be determined by off-line computations. The method enjoys simplicity of implementation by onboard computers as well as robust accuracy against strong winds and uncertainties in thrust magnitude. Key words: Disturbance rejection, Guidance systems, Satellites, Optimal Trajectory, Launch Vehicle

Fuzzy linear programming problems can be used to model a wide variety of practical applications in which all or some of decision parameters are stated in an imprecise fashion. These problems have been investigated and expanded by many researchers from various point of views. In this paper, we study a class of infinite-dimensional linear programming problems, so-called separated continuous linear programs, with fuzzy valued objective function. For this class of problems, we develop a strong duality result and present an approximation algorithm. The basic idea is to use the discretization technique to establish a relationship between the problem and an ordinary fuzzy linear programming problem.

Keywords:
Continuous-time linear programming, Fuzzy linear programming, Discretization, Duality

In this essay an optical arrangement for the measurement of dynamic weight by means of conducting a thin ray of light through it, is designed in order to enhance the measuring accuracy in the weight-estimation device. In this arrangement, CCD is responsible for producing raw data for processing. An artificial neural network type RBF is also used to improve the quality and speed of the measurement. While the scale of the weight-estimation devise is oscillating, the neural network by means of sampling the proportionate wave-shape lead to by applying the weight on the scale, yields its weight with jointly high quality and speed of the measurement.

Keywords:
Optical Arrangement, CCD (Charged Coupled Device), RBF neural network, Dynamic weight, Measurement.