In the last decade, various approximation approaches, such as dispatching rules, shifting bottleneck heuristic and local search methods, are proposed for the job shop scheduling problem. As one of the local search methods, taboo search provides a promising alternative for the job shop scheduling problem; however, it has to be tailored each time with respect to parameters for every instance in o...

Advances in computers and multimedia technology have changed traditional methods for learning and skills training. Online learning continues to play a major success of any academic program. Such learning can personalize learning needs for students, it can provide an environment where virtual reality techniques are used to create interactive interfaces and real-time software can monitor every re...

This paper develops a novel iterative framework for subspace clustering (SC) in a learned discriminative feature domain. This framework consists of two modules of fuzzy sparse SC and discriminative transformation learning. In the first module, fuzzy latent labels containing discriminative information and latent representations capturing the subspace structure will be simultaneously evaluated in...

 Virtual Reality (VR) systems allows the design of interactive and immersive environments for the simulation of a wide range of situations. These features has been exploited to build realistic applications in order to provide study and training in several areas, particularly in medicine. In this sense, the addition of techniques to assess the actions of users can provide simulations based on v...

The work we describe here is aimed at assisting out-patients affected by insulin dependent diabetes mellitus with an advisory/control algorithm. This advisory/control algorithm incorporates expert knowledge about the treatment of this disease by using Mamdani type fuzzy logic controllers to regulate the blood glucose level (BGL) when the diabetic patient is subjected to a glucose meal disturban...

In this paper we give a proof of the fact, that the motivic Hodge-Chern class transformation MHCy and Hirzebruch class transformation MHTy∗ for mixed Hodge modules and strictly specializable filtered D-modules commute with specialization in the algebraic and in a suitable complex analytic context. Here specialization in the Hodgeand D-module context means the corresponding nearby cycles defined...

Given a left module U and a right modules V over an algebra D and a bilinear form β : U × V → D, we may define an associative algebra structure on the tensor product V ⊗D U . This algebra is called a near-matrix algebra. In this paper, we shall investigate algebras filtered by near-matrix algebras in some nice way and give a unified treatment for quasi-hereditary algebras, cellular algebras, an...

As we know every software development process is pretty large and consists of different modules. This raises the idea of prioritizing different software modules so that important modules can be tested by preference. In the software testing process, it is not possible to test each and every module regressively, which is due to time and cost constraints. To deal with these constraints, this paper...

The purpose of this paper is to present a view of a telemonitoring system based on fuzzy logic for distress situations detection of elderly people living alone in the home environment. This system includes three different sensors: physiological sensors (cardiac frequency, activity or agitation, posture and fall detection sensor), microphones and infrared sensors. Taking into account the difficu...

This research suggests a new type of inte1,ligent system based on new approaches to generation and selection of family of fuzzy logics. It is based on new generalizedl strategy of designing of fuzzy intelligent systems. Family of fuzzy logics can be generated by T-norms axiomatic system to choose the logic, that is the most suitable to expert way of thinking. Then the selected fuzzy logic is te...