PANDA2, a computer program for the minimum-weight design of elastic perfect and imperfect stiffened cylindrical panels and shells under multiple sets of combined loads, is used to obtain optimum designs of uniformly axially compressed elastic internal T-ring and external T-stringer stiffened cylindrical shells with initial imperfections in the form of the general buckling mode. The optimum desi...

In many different industries, such as chemical industry, plastic industry and especially in rubber industry, there are systems with random parameters. It is well-known in case of the systems with determined parameters that the systems can be either stable or unstable. But, in case of the random parameters the systems can be stable, unstable, or stable with some probability. The stability proble...

In a lot of operational situations, we have to deal with uncertain and inaccurate information. The theory of belief functions is a mathematical framework useful to handle this kind of imperfection. However, in most of the cases, uncertain data are modeled with a distribution of probability. We present in this paper different principles to induce belief functions from probabilities. Hence, we de...

We survey the theoretical literature on market liquidity. The literature traces illiquidity, i.e., the lack of liquidity, to underlying market imperfections. We consider six main imperfections: participation costs, transaction costs, asymmetric information, imperfect competition, funding constraints, and search. We address three questions in the context of each imperfection: (a) how to measure ...

In many applications, data are often imperfect, incomplete or more generally uncertain. This imperfection has to be integrated into the learning process as an information in itself. The E2M decision trees is a methodology that provides predictions from uncertain data modelled by belief functions. In this paper, the problem of rubber quality prediction is presented with a belief function modelli...

In this paper, we explore the combined use of spatial and multi-user diversity in a cellular system where the channel state information (CSI) available at the base station (BS) is subject to imperfections. To do that, we consider a general statistical approach to describe the degree of CSI imperfection. By doing so, performance assessment is conducted for the generalized case in terms of ergodi...

Bioprocesses have the inherent characteristics of high nonlinearity, parameter uncertainty and information imperfection. These specific natures may cause some difficulties in control. Jacobian linearization method was used in this paper to linearize the bioreactor model firstly, and then a Multipleinput and single output (MISO) model predictive controller was designed for the reactor. PID contr...

In this paper, we focus on mining periodic patterns allowing some degree of imperfection in the form of random replacement from a perfect periodic pattern. Information gain was proposed to identify patterns with events of vastly different occurrence frequencies and adjust for the deviation from a pattern. However, it does not take any penalty if there exists some gap between the pattern occurre...

In this paper we survey the theoretical and empirical literature on market liquidity. We organize both literatures around three basic questions: (a) how to measure illiquidity, (b) how illiquidity relates to underlying market imperfections and other asset characteristics, and (c) how illiquidity affects expected asset returns. Using a unified model from Vayanos and Wang (2010), we survey theore...

Information retrieval (IR) is a user approach to obtain relevant information which meets needs with the help of a IR system (IRS). However, the IRS shows certain differences between user relevance and system relevance. These gaps are essentially related to the imperfection of the indexing process (as approach related to the IR), to problems related to the misunderstanding of the natural languag...