The term frequency normalisation parameter tuning is a crucial issue in information retrieval (IR), which has an important impact on the retrieval performance. The classical pivoted normalisation approach suffers from the collection-dependence problem. As a consequence, it requires relevance assessment for each given collection to obtain the optimal parameter setting. In this paper, we tackle t...

We present a dynamic method for tuning algorithmic parameters of parallel scientific programs. By treating tuning as a separate concern in the software development process, our method supports personalized development of optimization schemes for existing programs that are not easily supported by conventional tuning techniques. We use a compositional framework to transparently combine tuning cod...

An experiment at NASA Ames' Vertical Motion Simulator (VMS) evaluated three motion tuning methods using the GenHel UH-60A Black Hawk math model. For each of the three motion tuning methods, adjustments were made to the gain and washout frequency of the high pass filter designed to attenuate the math model accelerations before commanding the simulation motion platform. Two of the tuning methods ...

An evolutionary tuning method for automatic impedance matclung in radio communication systems is developed based on Genetic Algorithms (GA). A detailed tuning procedure is presented and a software package has been developed. Simulation results using the software package are given. The implementation of the proposed tuning algorithm in a microprocessor-controlled automatic antenna tuning unit is...

Database tuning is a common problem, but it requires much knowledge about the characteristics of the database system and the expected workload. Dynamically changing workload complicates the search for the perfect settings. In this contribution we present several approaches that autonomously examine the operations and adjust different parameters. Even though different tools for this task are ava...

Iterative Feedback Tuning constitutes an attractive control loop tuning method for processes in the absence of sufficient process insight. It is a purely data driven approach to optimization of the loop performance. The standard formulation ensures an unbiased estimate of the loop performance cost function gradient, which is used in a search algorithm for minimizing the performance cost. A slow...

High precision position control and high speed control of the robot manipulators are fundamental and important control problems. The effectiveness of finite-time P-PI control was confirmed by end-effector position control of robot manipulators. However, parameter tuning method has not been proposed to finite-time P-PI control. In this paper, we propose a settling time design method and a parame...

in this study, a new approach for control (treatment) of aids based on patient entry drug. one of the main problems related to aids, is lack of control, lack of identification and early treatment of this disease. today physicians more than anything, control the disease relying on their experience and knowledge and time-consuming and complex experiments, nevertheless, human errors are inevitable...

Thin bed response is one of key concerns in seismic amplitude interpretation, owing to tuning effect that depends on both thickness and offset. We propose a methodology to remove tuning effect in order to obtain true amplitude. Traditional detuning methods can’t handle nonzero phase wavelet and can’t effectively remove tuning effects of thin layer with thickness above / 8 λ when the tuning effe...

Meta-heuristic algorithms should be compared using the best parameter values for all the involved algorithms. However, this is often unrealised despite the existence of several parameter tuning approaches. In order to further popularise tuning, this paper introduces a new tuning method CRS-Tuning that is based on meta-evolution and our novel method for comparing and ranking evolutionary algorit...