Safety and Mobility Impacts of Winter Weather – Phase I, August 2011

Highway agencies spend millions of dollars to ensure safe and efficient winter travel. However, the effectiveness of winter weather maintenance practices on safety and mobility are somewhat difficult to quantify. Phase I of this project investigated opportunities for improving traffic safety on state-maintained roads in Iowa during winter weather conditions. The primary objective was to develop several preliminary means for the Iowa Department of Transportation (DOT) to identify locations of possible interest systematically with respect to winter weather-related safety performance based on crash history. Specifically, metrics were developed to assist in identifying possible habitual, winter weather-related crash sites on state-maintained rural highways in Iowa. In addition, the current state of practice, for both domestic and international highway agency practices, regarding integration of traffic safety- and mobility-related data in winter maintenance activities and performance measures were investigated. This investigation also included previous research efforts. Finally, a preliminary work plan, focusing on systematic use of safety-related data in support of winter maintenance activities and site evaluation, was prepared.

Iowa Department of Corrections Report to the Board of Corrections, Women Offenders, 2006

This report goes beyond documentation of the population growth and needs of women offenders to describe how the Iowa Department of Corrections is addressing treatment needs of the female offender population. Except where noted, information was obtained from the Iowa Corrections Offender Network (ICON) with many of the reports obtained via the Iowa Justice Data Warehouse.

Report to the Board of Corrections, Sex Offenders, 2006

This report begins with the prevalence and projected growth of offenders convicted of sex crimes within Iowa’s community-based corrections and prison populations, then describes how the Iowa Department of Corrections is addressing sex offenders’ issues through the provision of treatment and management strategies. Except where noted, information was obtained from the Iowa Corrections Offender Network (ICON) with many of the reports obtained via the Iowa Justice Data Warehouse.

Mental Health, Report to the Board of Corrections, 2006

This report goes beyond mere documentation of the problem. It describes how the Iowa Department of Corrections is addressing mental health issues among the offender population through the provision of treatment. All data was obtained from Iowa Corrections Offender Network (ICON) information residing in the Iowa Justice Data Warehouse, and the ICON-Medical module. 1

Substance Abuse, Report to the Board of Corrections, 2006

This report, however, goes beyond documentation of the problem. It describes how the Iowa Department of Corrections is addressing substance abuse among the offender population through the provision of treatment, and monitoring for current drug and alcohol usage. All information was obtained from the Iowa Corrections Offender Network (ICON) with many of the reports obtained via the Iowa Justice Data Warehouse.

State of Iowa Juvenile Delinquency Annual Statistical Report, 2006

The Iowa Juvenile Court Services Offices are issuing their fourth annual statewide report. The the Iowa Division of Criminal and Juvenile Justice Planning (CJJP). This report would not be possible without the dedication of, and assistance from, all of the above-mentioned people. The eight Chief Juvenile Court Officers would like to take this opportunity to thank their staff for their dedication and their ability to enter accurate information on every youth referred to Juvenile Court Services; the staff at the Iowa Court Information System, without whom this report would not be possible; and CJJP for their maintenance of the Iowa Justice Data Warehouse and their support in preparing this document.

State of Iowa Juvenile Delinquency Annual Statistical Report, 2007

The Iowa Juvenile Court Services Offices are issuing their fourth annual statewide report. The the Iowa Division of Criminal and Juvenile Justice Planning (CJJP). This report would not be possible without the dedication of, and assistance from, all of the above-mentioned people. The eight Chief Juvenile Court Officers would like to take this opportunity to thank their staff for their dedication and their ability to enter accurate information on every youth referred to Juvenile Court Services; the staff at the Iowa Court Information System, without whom this report would not be possible; and CJJP for their maintenance of the Iowa Justice Data Warehouse and their support in preparing this document.

Project Newsletter Iowa Public Health Tracking, June 2013

The Data Warehouse Replacement Project includes updated County Health Snapshot reports. The snapshots provide an overview of key health indicators for local communities. They contain county-level measures that are organized into eight categories. The categories are asthma, cancer, health behaviors and outcomes, heart disease and other chronic conditions, infectious disease, mortality and injury prevention, population statistics and reproductive outcomes. The updated county health snapshots include almost forty new chronic disease indicators in addition to all of the indicators in the existing snapshots.There will be two different reports available in the Data Warehouse replacement system. One of the reports is a multi-year county health snapshot. This report has a similar format to the previous county health snapshot report in the current Data Warehouse. It will display multiple years of data for a single county. The data will be for the most current year available and the two years prior. The state values for the current year will also be included.

Inteligência competitiva e suas conexões epistemológicas com gestão da informação e do conhecimento

O artigo apresenta uma revisão de literatura mostrando o estado-da-arte conceitual na disciplina corporativa denominada inteligência competitiva (IC), sob um ponto de vista da ciência da informação (CI), explorando desenvolvimentos e experiências recentes. Embora já presente nas sociedades da Antiguidade, objeto de estudo de soberanos, pensadores e guerreiros, a inteligência competitiva (IC), inspirada nas atividades de inteligência militar, constitui tema bastante atual no mundo corporativo contemporâneo de competição global, com renovado interesse no mercado e na academia. Como o tema apresenta evidentes conexões epistemológicas com gestão da informação (GI) e gestão do conhecimento (GC), o texto busca mostrar como isso ocorre e as relações de causa e efeito entre as várias camadas de atividades vinculadas ao desenvolvimento de inteligência para tomada de decisão nas organizações inspirado no framework de Liebowitz (2006) baseado numa estrutura de cebola. Conceitos correlatos são também explorados, como o próprio conceito de GC, numa praxis composta de disciplinas corporativas conhecidas como aprendizado organizacional, gestão do capital intelectual ou capital humano e inteligência organizacional. Conceitos novos correlatos à inteligência competitiva são acrescentados ao conjunto intelligentsia galore de Liebowitz (2006), como capital estrutural, capital de clientela, capital competitivo e inteligência estratégica (IE).

Fast Geodesic Active Fields for Image Registration Based on Splitting and Augmented Lagrangian Approaches.

In this paper, we present an efficient numerical scheme for the recently introduced geodesic active fields (GAF) framework for geometric image registration. This framework considers the registration task as a weighted minimal surface problem. Hence, the data-term and the regularization-term are combined through multiplication in a single, parametrization invariant and geometric cost functional. The multiplicative coupling provides an intrinsic, spatially varying and data-dependent tuning of the regularization strength, and the parametrization invariance allows working with images of nonflat geometry, generally defined on any smoothly parametrizable manifold. The resulting energy-minimizing flow, however, has poor numerical properties. Here, we provide an efficient numerical scheme that uses a splitting approach; data and regularity terms are optimized over two distinct deformation fields that are constrained to be equal via an augmented Lagrangian approach. Our approach is more flexible than standard Gaussian regularization, since one can interpolate freely between isotropic Gaussian and anisotropic TV-like smoothing. In this paper, we compare the geodesic active fields method with the popular Demons method and three more recent state-of-the-art algorithms: NL-optical flow, MRF image registration, and landmark-enhanced large displacement optical flow. Thus, we can show the advantages of the proposed FastGAF method. It compares favorably against Demons, both in terms of registration speed and quality. Over the range of example applications, it also consistently produces results not far from more dedicated state-of-the-art methods, illustrating the flexibility of the proposed framework.

Construcció i explotació d'un magatzem de dades per a l'anàlisi d'informació sobre allotjaments turístics

Trabajo centrado en el estudio y aplicación práctica de las técnicas conocidas bajo el nombre de almacenes de datos y, concretamente, en sistemas ROLAP para dar respuesta a las necesidades de los entornos decisorios. En él se detallan los requisitos para desplegar un análisis de información sobre establecimientos turísticos, se expone la planificación, método basado en UML, el análisis, diseño, los pasos de recuperación de los datos -para su posterior transformación y carga en un base de datos relacional MySQL- y la presentación de las consultas OLAP e informes.

Construcció i explotació d'un magatzem de dades per a l'anàlisi d'informació sobre allotjaments turístics

Aquest document il·lustra el procés dut a terme a l'hora de realitzar el treball de fi de carrera en els estudis del grau en enginyeria informàtica a l'àrea de magatzem de dades. Inclou les diferents fases del projecte, des d'una introducció inicial on s'explica que és el data warehouse, la justificació i objectius del projecte, els requeriments del client, fins al seu anàlisi, disseny i posterior implementació.

Construcción y explotación de un almacén de datos para el análisis de información sobre alojamientos turísticos en Catalunya

El proyecto sigue el formato de un encargo de una solución de almacén de datos por parte de un cliente hipotético llamado ONdO que necesita poder analizar datos de establecimientos turísticos, población y equipamientos del territorio catalán.

Herramienta web para la gestión de metadatos de negocio

El proyecto consiste principalmente en definir y desarrollar una herramienta de gestión de metadatos de negocio para los indicadores clave de rendimiento. Actualmente no existe ninguna herramienta BI que permita almacenar información de negocio más allá de las especificaciones técnicas. Dicha aplicación, actuará como repositorio centralizado de la definición de los indicadores clave de negocio de la compañia incluyendo información del metadato del indicador, (tal como, responsable del indicador, dimensiones de análisis, profundidad histórica, frecuencia de actualización, procesos de negocio implicados, etc.).

Optimization of Snow Drifting Mitigation and Control Methods for Iowa Conditions Part II, TR-626, 2015

Blowing and drifting of snow is a major concern for transportation efficiency and road safety in regions where their development is common. One common way to mitigate snow drift on roadways is to install plastic snow fences. Correct design of snow fences is critical for road safety and maintaining the roads open during winter in the US Midwest and other states affected by large snow events during the winter season and to maintain costs related to accumulation of snow on the roads and repair of roads to minimum levels. Of critical importance for road safety is the protection against snow drifting in regions with narrow rights of way, where standard fences cannot be deployed at the recommended distance from the road. Designing snow fences requires sound engineering judgment and a thorough evaluation of the potential for snow blowing and drifting at the construction site. The evaluation includes site-specific design parameters typically obtained with semi-empirical relations characterizing the local transport conditions. Among the critical parameters involved in fence design and assessment of their post-construction efficiency is the quantification of the snow accumulation at fence sites. The present study proposes a joint experimental and numerical approach to monitor snow deposits around snow fences, quantitatively estimate snow deposits in the field, asses the efficiency and improve the design of snow fences. Snow deposit profiles were mapped using GPS based real-time kinematic surveys (RTK) conducted at the monitored field site during and after snow storms. The monitored site allowed testing different snow fence designs under close to identical conditions over four winter seasons. The study also discusses the detailed monitoring system and analysis of weather forecast and meteorological conditions at the monitored sites. A main goal of the present study was to assess the performance of lightweight plastic snow fences with a lower porosity than the typical 50% porosity used in standard designs of such fences. The field data collected during the first winter was used to identify the best design for snow fences with a porosity of 50%. Flow fields obtained from numerical simulations showed that the fence design that worked the best during the first winter induced the formation of an elongated area of small velocity magnitude close to the ground. This information was used to identify other candidates for optimum design of fences with a lower porosity. Two of the designs with a fence porosity of 30% that were found to perform well based on results of numerical simulations were tested in the field during the second winter along with the best performing design for fences with a porosity of 50%. Field data showed that the length of the snow deposit away from the fence was reduced by about 30% for the two proposed lower-porosity (30%) fence designs compared to the best design identified for fences with a porosity of 50%. Moreover, one of the lower-porosity designs tested in the field showed no significant snow deposition within the bottom gap region beneath the fence. Thus, a major outcome of this study is to recommend using plastic snow fences with a porosity of 30%. It is expected that this lower-porosity design will continue to work well for even more severe snow events or for successive snow events occurring during the same winter. The approach advocated in the present study allowed making general recommendations for optimizing the design of lower-porosity plastic snow fences. This approach can be extended to improve the design of other types of snow fences. Some preliminary work for living snow fences is also discussed. Another major contribution of this study is to propose, develop protocols and test a novel technique based on close range photogrammetry (CRP) to quantify the snow deposits trapped snow fences. As image data can be acquired continuously, the time evolution of the volume of snow retained by a snow fence during a storm or during a whole winter season can, in principle, be obtained. Moreover, CRP is a non-intrusive method that eliminates the need to perform man-made measurements during the storms, which are difficult and sometimes dangerous to perform. Presently, there is lots of empiricism in the design of snow fences due to lack of data on fence storage capacity on how snow deposits change with the fence design and snow storm characteristics and in the estimation of the main parameters used by the state DOTs to design snow fences at a given site. The availability of such information from CRP measurements should provide critical data for the evaluation of the performance of a certain snow fence design that is tested by the IDOT. As part of the present study, the novel CRP method is tested at several sites. The present study also discusses some attempts and preliminary work to determine the snow relocation coefficient which is one of the main variables that has to be estimated by IDOT engineers when using the standard snow fence design software (Snow Drift Profiler, Tabler, 2006). Our analysis showed that standard empirical formulas did not produce reasonable values when applied at the Iowa test sites monitored as part of the present study and that simple methods to estimate this variable are not reliable. The present study makes recommendations for the development of a new methodology based on Large Scale Particle Image Velocimetry that can directly measure the snow drift fluxes and the amount of snow relocated by the fence.