In the note the class of block-oriented dynamic nonlinear systems is considered, in particular, Hammerstein and Wiener systems are investigated. Several algorithms for nonlinear system identification are presented. The algorithms exploit various degrees of prior knowledge from parametric to nonparametric. Eventually, a semiparametric algorithm, which shares advantages of both approaches is anno...

In the recent years, terms like knowledge society, intelligent, learning or knowledge based organizations are used more often. Related to these concepts, many studies underline the fact that organizations should act intelligently by learning and using their knowledge or by being just knowledgebased organizations. The majority of these studies are suffering from being too much philosophical in d...

Tacit knowledge prevents requirements engineers from completely identifying system constraints. Users may be unaware of the need to articulate this knowledge or even be aware they posses it. Therefore external methods of tacit knowledge identification are required. In this position paper we present a proposed method of tacit knowledge identification by solving pre-requirements specification tra...

We propose a ubiquitous learning approach useful not only to acquire knowledge in the traditional educational meaning, but also to solve cross-environment everyday problems. By formalizing user request and profile through logic-based knowledge representation languages, a lightweight but semantically meaningful matchmaking process is executed in order to retrieve the most suitable learning resou...

In a previous class (Lecture 25), we showed how to construct an identification scheme which is secure against a passive adversary using an Honest-Verifier Zero-Knowledge Proof of Knowledge (HVZK-PoK). We also showed that it is possible to construct an Identification Scheme secure against an active adversary using a Witness Indistinguishable Proof of Knowledge (WI-PoK). In this lecture, we will ...

Forecasting is a necessity almost in any operation. However, the tools of forecasting are still primitive in view of the great strides made by research and the increasing abundance of data made possible by automatic identification technologies, such as radio frequency identification (RFID). The relationship of various parameters that may change and impact decisions are so abundant that any cred...

Background: Pedagogical knowledge management is the management of knowledge and experiences in teaching, assessment, learning theories, and classroom management, and other areas of education. An analytical study of the literature can be helpful in understanding the pedagogical knowledge management approach. Therefore, this study is aimed on research synthesis of the effectiveness of pedagogical...