This paper proposes hybrid voting systems as a solution for the vote buying and voter coercion problem of electronic voting systems. The key idea is to allow voters to revoke and overrule their electronic votes at the polling station. We analyze the potential and pitfalls of such revocation procedures and give concrete recommendations on how to build a hybrid system offering coercion-resistance...

Recommendation systems are widely used in e-commerce companies like Amazon and Netflix to help users discover items that might interest them. Due to their wide applicability, recommendation systems have become an area of active research. We do a comparative study on the different algorithms used to do recommendation popularly and build a hybrid model out of them. Introduction Various algorithms...

This article deals with hybrid expert system that has knowledge base realized through a hierarchical structure of artificial neural networks (NN). The decision tree is built by C4.5 algorithm at first. In the next step the nods of the tree are replaced by NN. They are trained to split the data in the same way as the nods. So the problem is separated into partial sub-problems that are solved by ...

The bait and prey fusions are co-expressed in yeast where a physical interaction between X and Y leads to the reconstitution of a functional transcription factor that binds to the promoter of a reporter gene (Fig.1). Consequently, transcription of the reporter gene is switched on. A protein-protein interaction is therefore translated into reporter gene activity which can be detected or measured...

The uncertainty and unexpectedness of security risk makes it exceedingly challenging to assess and monitor. This paper outlines a hybrid approach which factors in the uncertainty, unexpectedness and complexity of risk. In this work, IT security risk in an organization is evaluated using and expert system which utilizes fuzzy reasoning and certainty factors. Since often the value of risk comes w...

In previous works, we have developed a novel class of agents called expert system agents. We have presented applications of the expert system agents in medicine. The medical expert system agents eliminate some disadvantages of the medical expert systems. The possibility to use medical expert system agents in flexible hybrid medical diagnosis systems proves practically their intelligence. In thi...

Renewable energy sources i.e., energy generated from solar, wind, biomass, hydro power, geothermal and ocean resources are considered as a technological option for generating clean energy. This paper presents the Solar-Wind hybrid Power system that harnesses the renewable energies in Sun and Wind to generate electricity. System control relies mainly on micro controller. It ensures the optimum u...

Predicting the future state of a hybrid system is made exceptionally difficult by uncertainty in the current operating mode of the plant and the possibility of a plant modal transition during the interval over which a prediction is to be made. Unjustified approximations and errors in the system model typically create large errors in the prediction and, for some applications even worse, yield an...

In this paper the class of linear impulsive systems is considered. These systems are those with a continuous linear dynamics for all time, except at a sequence of instants. When such a discrete time occurs, the state undergoes a jump, or more precisely follows a discrete linear dynamics. The sequence of time instants, when a discrete dynamics occurs, is nearlyperiodic only, i.e. it is distant f...