Iowa Field Conference on "D"-Cracking: Nov. 20 & 21, 1967

During the summer of 1963 the Materials Department noted the three to four ·year old concrete pavement on I-80 in Cass County was showing extensive surface cracking adjacent to joints and cracks. An examination of the pavement and a few cores from the cracked areas was made by the I.S.H.C. Materials Department and later by David Stark of the P.C.A. Additional surveys were conducted on other concrete pavement made with coarse aggregate from similar rock from two different sources. Blue-line cracking was found on some primary pavement and the indications of incipient cracks were seen on I-29 in Pottawattamie County, north of Council Bluffs. A good "D"-crack pattern is now evident. Surveys were then made of the entire Interstate concrete pavement. No other sections of Interstate were "D"-cracking, although some sections showed joint discoloration. None of these pavements, including the discolored sections, contained "D"-crack associated aggregates. At the same time as the Interstate survey additional pavements and sources were checked. Some "D"-cracking was noticed on certain sections of primary pavement 5-10 years old, in the vicinity of Waterloo and Cedar Rapids. The "D"-cracked pavement was from three aggregate sources, the Newton, Otis, and Burton Ave. quarries. Other pavements in this area that were older or from· different· coarse aggregate sources were not "D"-cracked. We believe that all the "D"-cracking is related, although dedolomitization is probably involved in the intermediate dolomite rocks.

Initialisation of Nonlinearities for PNL and Wiener systems Inversion

This paper proposes a very fast method for blindly initial- izing a nonlinear mapping which transforms a sum of random variables. The method provides a surprisingly good approximation even when the basic assumption is not fully satis¯ed. The method can been used success- fully for initializing nonlinearity in post-nonlinear mixtures or in Wiener system inversion, for improving algorithm speed and convergence.

Blind Inversion of Wiener Systems

A system in which a linear dynamic part is followed by a non linear memoryless distortion a Wiener system is blindly inverted This kind of systems can be modelised as a postnonlinear mixture and using some results about these mixtures an e cient algorithm is proposed Results in a hard situation are presented and illustrate the e ciency of this algorithm

Emergence of Swiss metropole and scaling properties of urban clusters

Defining the limits of an urban agglomeration is essential both for fundamental and applied studies in quantitative and theoretical geography. A simple and consistent way for defining such urban clusters is important for performing different statistical analysis and comparisons. Traditionally, agglomerations are defined using a rather qualitative approach based on various statistical measures. This definition varies generally from one country to another, and the data taken into account are different. In this paper, we explore the use of the City Clustering Algorithm (CCA) for the agglomeration definition in Switzerland. This algorithm provides a systemic and easy way to define an urban area based only on population data. The CCA allows the specification of the spatial resolution for defining the urban clusters. The results from different resolutions are compared and analysed, and the effect of filtering the data investigated. Different scales and parameters allow highlighting different phenomena. The study of Zipf's law using the visual rank-size rule shows that it is valid only for some specific urban clusters, inside a narrow range of the spatial resolution of the CCA. The scale where emergence of one main cluster occurs can also be found in the analysis using Zipf's law. The study of the urban clusters at different scales using the lacunarity measure - a complementary measure to the fractal dimension - allows to highlight the change of scale at a given range.

Revenue Estimating Conference: Estimate of General Fund Receipts, October 11, 2001

The past actual tax receipts and future estimates of the General Fund used by the Revenue Estimating Conference to project incoming revenue to be used in future state budgeting.

Revenue Estimating Conference: Estimate of General Fund Receipts, July 30, 2001

The past actual tax receipts and future estimates of the General Fund used by the Revenue Estimating Conference to project incoming revenue to be used in future state budgeting.

Revenue Estimating Conference: Estimate of General Fund Receipts, December 7, 2001

The past actual tax receipts and future estimates of the General Fund used by the Revenue Estimating Conference to project incoming revenue to be used in future state budgeting.

Revenue Estimating Conference: Estimate of General Fund Receipts, December 6, 2002

The past actual tax receipts and future estimates of the General Fund used by the Revenue Estimating Conference to project incoming revenue to be used in future state budgeting.

Revenue Estimating Conference: Estimate of General Fund Receipts, April 9, 2003

The past actual tax receipts and future estimates of the General Fund used by the Revenue Estimating Conference to project incoming revenue to be used in future state budgeting.

Revenue Estimating Conference: Estimate of General Fund Receipts, August 5, 2003

The past actual tax receipts and future estimates of the General Fund used by the Revenue Estimating Conference to project incoming revenue to be used in future state budgeting.

Revenue Estimating Conference: Estimate of General Fund Receipts, October 10, 2003

The past actual tax receipts and future estimates of the General Fund used by the Revenue Estimating Conference to project incoming revenue to be used in future state budgeting.

Revenue Estimating Conference: Estimate of General Fund Receipts, December 8, 2003

The past actual tax receipts and future estimates of the General Fund used by the Revenue Estimating Conference to project incoming revenue to be used in future state budgeting.

Revenue Estimating Conference: Estimate of General Fund Receipts, March 19, 2004

The past actual tax receipts and future estimates of the General Fund used by the Revenue Estimating Conference to project incoming revenue to be used in future state budgeting.