This paper discusses the designing of knowledge integration of clinical information extracted from distributed medical ontologies in order to ameliorate a machine learning-based multilabel coding assignment system. The proposed approach is implemented using a decision tree technique of the machine learning on the university hospital data for patients with Coronary Heart Disease (CHD). The preli...

Copyright is held by the author/owner(s). EICS’16, June 21-24, 2016, Bruxelles, Belgium. Abstract Software development projects receive many change requests each day and each report must be examined to decide how the request will be handled by the project. One decision that is frequently made is to which software developer to assign the change request. Efforts have been made toward semiautomati...

A common approach for analyzing large-scale molecular data is to cluster objects sharing similar characteristics. This assumes that genes with highly expression profiles are likely participating in a process. Biological systems extremely complex and challenging understand, proteins having multiple functions sometimes need be activated or expressed time-dependent manner. Thus, the strategies app...

Asynchronous pipelining is a form of parallelism in which processors execute diierent loop tasks, as opposed to diierent loop iterations. An asynchronous pipeline schedule for a loop is a generalization of a noniterative DAG schedule, and consists of a processor assignment|an assignment of loop tasks to processors; plus a task sequence for each processor|an order on instances of tasks assigned ...

This paper develops an integer mathematical programming model to design the cellular manufacturing systems under data envelopment analysis. Since workers have an important role in doing jobs on machines, assignment of workers to cells becomes a crucial factor for fully utilization of cellular manufacturing systems (CMS). The aim of the proposed is to minimize backorder costs and intercellul...

The construction of a closed-loop observer for linear control systems and the associated eigenvalue assignment problem are classical tasks in Control Theory. The present paper describes an algorithm for the solution of this eigenvalue assignment problem. The algorithm is based on the implicitly restarted Arnoldi method, and is well suited for large-scale problems, that require the (re)assignmen...

Orthogonal eigenstructure control is used for designing a control law that decouples the dynamic modes of a flying vehicle. Orthogonal eigenstructure control is a feedback control method for linear time invariant multi-input multi-output systems. This method has been recently developed by authors. The advantage of this control method over eigenstructure assignment methods is that there is no ne...

This paper is concerned with the parameterisation of basis matrices and the simultaneous computation of friends of the output nulling subspaces V ⋆, V ⋆ g and R ⋆ with the assignment of the corresponding inner and outer closed-loop free eigenstructure. Differently from the classical techniques presented in the literature so far on this topic, which are based on the standard pole assignment algo...