This paper focuses on the steps taken to minimize human error in simulation modeling in General Motors. While errors are costly and undesirable in any field, they are especially harmful in simulation which has been struggling to gain acceptance in the business world for a long time. The solution discussed in this paper can be summarized as “enter the data once and use the best tool for the job.”

In the spreadsheet error community, both academics and practitioners generally have ignored the rich findings produced by a century of human error research. These findings can suggest ways to reduce errors; we can then test these suggestions empirically. In addition, research on human error seems to suggest that several common prescriptions and expectations for reducing errors are likely to be ...

Challenging the assumption that traditional whitespace/punctuation-based tokenisation is the best solution for any NLP application, I propose an alternative approach to segmenting text into processable units. The proposed approach is nearly knowledge-free, in that it does not rely on languagedependent, man-made resources. The text segmentation approach is applied to the task of automated error ...

Consider an RP algorithm with constant error probability that uses r random bits. We will improve the error probability to 2−k with r + O(k) random bits. Compare this with (1) the brute force k-independent trials, which would require O(kr) random bits to achieve the same error probability and (2) the technique due to Karp, Pippenger and Sipser [KPS] (discussed in Lecture 1) which uses r random ...

For large area surveillance, a number of UAVs are preferred. In such situation, navigation becomes a prime factor, which reduces the chance of collision. UAVs primarily depend on GPS, which has an order of inaccuracy. Conventional correction methods like differential GPS needs extra hardware and cannot improve stochastic errors like multipath error and receiver error. In this paper we demonstra...

1. Introduction Slopes in quarries and open pit mines, as well as all the types of embankments (stockpiles, tailing dams, waste dumps) resulting from mining and mineral processing activities, must be considered as "geotechnical structures". Therefore, the design and implementation of these structures must be conducted with all consideration. Considering an economical plan, the selection of reas...

Besides the well-known effect of autocorrelations in time series of Monte Carlo simulation data resulting from the underlying Markov process, using the same data pool for computing various estimates entails additional cross correlations. This effect, if not properly taken into account, leads to systematically wrong error estimates for combined quantities. Using a straightforward recipe of data ...

Although climate models have steadily improved their ability to reproduce the observed climate, over the years there has been little change to the wide range of sensitivities exhibited by different models to a doubling of atmospheric CO2 concentrations. Stochastic optimization is used to mimic how six independent climate model development efforts might use the same atmospheric general circulati...

The multipath error reduction methods described in this paper will give you an insight into further development of the so-called "strobe methods" that have been used in pseudo random noise (PRN) receivers since 1975 (see Ref.[1]). These methods already proved their high effectiveness in reducing tracking errors in spreadspectrum (PRN type) digital receivers (see Ref.[2-4]). However, it should b...