Measuring Scientific Input and Output: Proposing Designs

Measuring robust overall profit efficiency with uncertainty in input and output price vectors

The classic overall profit needs precise information of inputs, outputs, inputs and outputs price vectors. In real word, all data are not certain. Therefore, in this case, stochastic and fuzzy methods use for measuring overall profit efficiency. These methods require more information about the data such as probability distribution function or data membership function, which in some cases may no...

Mixed Effects of Input Enhancement, Explicit Instruction, Corrective Feedback, and Pushed Output in an Input-Output Mapping Practice

This investigation examined the mixed effects of visual input enhancement, explicit instruction, pushed output, and corrective feedback on noticing and intake of English conjunctive adverbs. Participants included 83 intermediate EFL students enrolled in a grammar and writing course. They were assigned to a control group (n = 22), explicit instruction + pushed output + explicit corrective feedba...

Output-input stability of nonlinear systems and input/output operators

The notion of output-input stability, recently proposed in [2], represents a variant of the minimum-phase property for general smooth nonlinear control systems. In the spirit of the input-to-state stability (ISS) philosophy, the definition of output-input stability requires the state and the input of the system to be bounded by a suitable function of the output and derivatives of the output, mo...

Input Redundancy and Output

Determining structure and motion from the images produced by a camera on a moving robot is a nonlinear and potentially poorly conditioned computation. A reliable system must use redundant data so that small random errors in the inputs cancel out statistically to produce better outputs. Furthermore, the output quantities to be computed must be well observable, that is, they should have well-meas...

Input - Output Connections Hidden - Output