In many problems from different disciplines such as engineering, physics, medicine, and biology, a series of experimental data is used in order to generate a model that can describe a system with minimum noise. The procedure for building a model provides a description of the behavior of the system under study and can be used to give a prediction for the future. Herein a novel hierarchical bi-le...

A technique for bi-level facsimile compression is presented that extends to two-dimensional e sequences the traditional notion of run length coding. The algorithm is relatively efficient and asy to implement and exploits two-dimensional neighboring pixel redundancies, unlike that of s many existing systems employing entropy coding on raster scanned images, A bi-level image is patially predicted...

Some of the real life decisions are made in decentralized manner under uncertainty. Stochastic bi-level linear programming problems are used to handle such decision making problems. In this paper, we have proposed stochastic bi-level linear programming problems where some of the right hand side parameters of the constraints in both first (leader) and second level (follower) as normal and log-no...

We study the solution of non-convex, pessimistic bi-level problems. After providing several motivating examples, we relate the problem to existing research in optimisation. We analyse key properties of the optimisation problem, such as closedness of the feasible region and computational complexity. We then present and investigate a semiinfinite solution approach that solves ǫ-approximations of ...

We present improvements to a general type of lossless, lossy, and refinement coding of bi-level images [a]. Loss is introduced by flipping pixels. The pixels are coded using arithmetic coding (either QM-coding or that of [l]) of conditional probabilities obtained using a template as is known from JBIG and proposed in JBIG-2 [2]. Our new state-of-the-art results are obtained using the more gener...

This paper considers a bi-level discrete-time control framework with real-time constraints, consisting of several local controllers and a central controller. The objective is to bridge the gap between the online convex optimization and real-time control literature by proposing an online control algorithm with small dynamic regret, which is a natural performance criterion in nonstationary enviro...

Presently, tree coders are the best bi-level image coders. The current IS0 standard, JBIG, is a good example. By organising code length calculations properly a vast number of possibie models (trees) can be investigated within reasonable time prior to generating code. Three general-purpose coders are constructed by this principle. A multi-pass free tree coding scheme produces superior compressio...

Effective Business Intelligence (BI) is essential for companies in today’s business environment. The benefits from the adoption and use of BI vary from company to company. It has been suggested that the level of BI success is associated with a company’s level of BI experience or maturity. Researchers have attempted to map the various BI practices to BI Maturity Models. This paper investigates t...

In many applications, covariates possess a grouping structure that can be incorporated into the analysis to select important groups as well as important members of those groups. This work focuses on the incorporation of grouping structure into penalized regression. We investigate the previously proposed group lasso and group bridge penalties as well as a novel method, group MCP, introducing a f...

In an integrated aircraft design and analysis practice, Life Cycle Cost (LCC) is essential for decision making. The LCC of an aircraft is ordinarily partially estimated by emphasizing a specific cost type. However, an overview of the LCC including design and development cost, production cost, operating cost and disposal cost is not provided. This may produce biased cost estimates. Moreover, air...