Evaluation algorithm

Dirac equation one-electron relativistic quantum mechanics formulation direct integral evaluation algorithm that recomputes integrals when needed distance geometry an optimization algorithm in which some distances are held fixed... 

Thyssen JP. Menne T. Elberberg J. Plaschke P, 16 Johansen D Hypersensitivity to local anesthetics -update and proposal of evaluation algorithm. Contact Dermatitis 2008 59 69-78. 17... 

Whatever is the fitting hypotheses and the corresponding evaluation algorithm, the evaluation results are burdened by experimental errors which depend primarily upon the following principal factors ... 

There are various approaches to the data-reduction task. An often used one consists of computing the modulus of the complex phase-detector signal. This removes all offset imperfections as well as any receiver phase misad-justment, bringing us theoretically to what we would have by summing the outputs of two independent, ideal diode detectors. In this case, however, the original signals are still available and can be used to check various aspects of data quality, carry out additional corrections (such as removal of noise-rectification artifacts), or submitted to alternative evaluation algorithms. 

Fig. 8.7 Application of protocol A1 for the sequential epoxidation of 2,5-di-ferf-butyM, 4-benzoquinone at 17 and 30°C using the combined evaluation algorithm [20], Mean values from all experiments at each temperature are shown. Absorbance in the lower plots corresponds to a single wave number (1687 cm"1) from the reaction spectrum.

The raw images recorded by the camera have to be pre-processed to (1) correct for inevitable measurement deficiencies of the acquisition system, (2) reduce the amount of data that has to be processed to the necessary minimum and (3) prepare the data for the chosen evaluation algorithm. 

The final pre-processing step is data preparation for the evaluation. The particular operations are reliant on the chosen evaluation algorithm. Generally, a baseline... 

The selection of an optimal spectral data evaluation algorithm is essential for satisfactory system performance, but is usually not easily predictable. Apart from the chemometrical performance, the execution time of the algorithm is crucial for realtime systems. As the execution time depends mainly on the number of mathematical operations of the algorithm, expressed by the run-time complexity, a mathematically simpler method involving fewer operations is often preferable to a (potentially) more powerful method that takes longer to calculate. 

A personal computer (PC) controls the measuring arrangement. The evaluation algorithm in the PC calculates the ring intensity values of the percentage of certain particle size classes by comparison between measured values and predetermined theoretical values. The intensity values are converted into a size distribution by an iteration process. 

Compliance with 11CFR part 35 should provide adequate proof of the ruggedness and robustness of the system software. Method developers must consider tests to evaluate algorithm stability during the development and validation processes. 

Evaluation algorithm of the points in order to calculate the form error... 

The fitness function evaluates the quality and ensures the validity of the solution (e.g., drill geometry). To generate new solutions, optimization algorithms and evaluation methods are necessary. Before running the optimization algorithm, the individual reviews of the fitness functions need to be combined into an overall fitness by an evaluation algorithm. 

Zogg, A. Fischer, U. Hungerbuehler, K. (2004). Identification of kinetic and thermodynamic reaction parameters from online calorimetric and IR-ATR data using a new combined evaluation algorithm. Chemical Engineering Science, Vol.59, No.24, 5795-5806, ISSN 0009-2509... 

The MO evaluation algorithm devised by Aspuru-Guzik et al. [163] truncated the orbital transformation using a numerical cutoff rather than a spatial one. Their algorithm uses a 3-D grid to identify sparsity in the Slater matrix. For each point on the grid, the threshold Cfj,iX (x)>lO is applied to create a list of relevant... 

Once the ID constructed it can be used to identify the optimal policy, this can be ensured via evaluation algorithms which allow to generate the best strat-egy yielding to the highest expected utility. In 1990,... 

Cooper has shown that this problem is NP-hard. Within proposed evaluation algorithms, we can distinguish direct methods which operate directly on influence diagrams (Shachter 1996) (Tatman and Shachter 1990) or indirect ones (Cooper 1988) (Xiang and Ye 2001) which transform them into a secondary structure (s.t. a Decision tree or a Bayesian network) and then operate on it. 

To evaluate such diagrams Micheal et al. (Micheal and Yacov 2004) have proposed a direct evaluation algorithm based on arc reversal and node deletion. This algorithm can be outlined as follows ... 

Then, we should proceed to the quantification phase. For the lack of space we cannot give numerical data here (for instance the table relative to Vqse contains 10 4-2 entries since we have 10 binary and 2 ternary decision nodes ). Once the transformation achieved, we can apply the evaluation algorithm (i.e. Algorithm 1) proposed by (Micheal and Yacov 2004). 

To obtain complete list of states for each logical evaluating algorithm it is needful to set tablet of all possible states of each individual channel, recording to division of failures on latent/obvious and danger-ous/safe. For five possible states and three individual channels we obtain tablet of 125 rows, each independent to another, which is impossible to be shown at this place. Following tablet shows only these terms, which contain obvious failures. So we have three inputs, each can reach to three states and the tablet will be reduced to only 27 independent rows. 

Ruzek B, Kvasnicka M (2001) Differential Evaluation Algorithm in the Earthquake Hypocenter Location. Pure and Applied Geophysics 158 667-693 Schechinger B, Vogel T (2006) Acoustic emission for monitoring a reinforced concrete beam subject to four-point-bending. Constraction and Building Materials, 21(3) 483-490... 

For correlation-based PIV evaluation algorithms, the correlation function at a certain interrogation spot is calculated according to... 

A VIFM bundle counter (VIFB) counts irradiated fuel bundles as they are transferred between the fuelling machine and the spent fuel bay(s). Collimated gross gamma counters detect each fuel bundle as it passes. The proper placement of detectors and the use of the appropriate evaluation algorithm for the facility enable the device to count the bundles as they pass and, to record the direction in which the bundles are moving. 

For risk assessment of earthquake vulnerability of building inventories, the constraints demand a different process. Large-scope decisions must be made based on inexpensively acquired data and evaluation algorithms that can be implemented rapidly. The goal is to separate the definitely vulnerable from the rest. This process may be deemed to be a low-pass filter. It is driven by the fear of failure rather than desire for success. 

Improvement of the signal-to-noise ratio and refinement of the evaluation algorithm [148] enable film thickness changes of ca. 1 pm to be observed. The method is dynamic and has response times of < I s if diode arrays are used to obtain interference spectra [149]. The method is called reflectometric interference spectroscopy (RIfS) [147]. Similar procedures are also followed in the IR region [116]. 

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