introduction: in this study, arrangement of a low-cost optical tomography device compared to other methods such as frequency domain diffuse tomography or time domain diffuse tomography is reported. this low-cost diffuse optical imaging technique is based on the detection of light after propagation in tissue. these detected signals are applied to predict the location of in-homogeneities inside p...

This paper examines parametric estimating techniques applied to technology-driven projects in various industry sectors. Parametric estimating is the use of a subset of independent variables to predict the cost of a project. These independent variables may be specifications, features, functions, or some other high level descriptive elements that are used to define the scope of the deliverables a...

In this paper, a methodology for estimating area, energy consumption and execution time of an application executed on a specified processor is proposed. In addition, a design exploration process to find suitable processor architectures for a specific application is proposed. Cost and performance estimation is an important part of the exploration process. The actual cost estimation is based on p...

This paper introduces a new method to improve tree edit distance approach to textual entailment recognition, using particle swarm optimization. Currently, one of the main constraints of recognizing textual entailment using tree edit distance is to tune the cost of edit operations, which is a difficult and challenging task in dealing with the entailment problem and datasets. We tried to estimate...

deployment of CAPE (computer-aided parts estimating system), a highly advanced knowledge-based system designed to generate, evaluate, and cost automotive part manufacturing plans. cape is engineered on an innovative, extensible, declarative processplanning and estimating knowledge representation language, which underpins the cape kernel architecture. Many manufacturing processes have been model...

Bootstrapping is a useful technique for estimating the uncertainty of a predictor, for example, confidence intervals for prediction. It is typically used on small to moderate sized datasets, due to its high computation cost. This work describes a highly scalable online bootstrapping strategy, implemented inside Vowpal Wabbit, that is several times faster than traditional strategies. Our experim...

In this work, we present a low-cost high-resolution structured light range scanner with automatic calibration, based on temporal stripe encoding. We present a novel single-step automatic active stereo calibration method, based on optimal backprojection estimation. We also present a method for estimating local fidelity of the range image and show how this information can be used to obtain sub-st...

The performance of a commonly employed linear array of sonar sensors is assessed for point-target localization. Two different methods of combining time-of-flight information from the sensors are described to estimate the range and azimuth of the target: pairwise estimate method and the maximum likelihood estimator. The biases and variances of the methods are investigated and their combined effe...

Apparel product development is an important stage in the life cycle of a product. Shortening this stage will help to reduce the costs of a garment. The aim of this study is to examine the production parameters in knitwear apparel companies by defining the unit costs, and developing a software to calculate the unit costs of garments and make the cost estimates. In this study, with the help of a ...

The transmission line project cost index, which reflects price changes of transmission line project components affecting project cost, is an integrated indicator. Based on the constitution of the transmission line project cost index, 324 transmission line project cost index during 2002 and 2010 were selected, in order to describe variation tendency of the transmission line project cost index in...