24 resultados para Iterative Closest Point (ICP) Algorithm


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This is the weekly e-Newsletter called “The OCBI Tipping Point.” We hope that you find it very informative as we explore all possibilities to keep our constituency and the general public informed about all matters that affect Blacks in the state of Iowa.

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This is the weekly e-Newsletter called “The OCBI Tipping Point.” We hope that you find it very informative as we explore all possibilities to keep our constituency and the general public informed about all matters that affect Blacks in the state of Iowa.

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Audit report on the City of Center Point, Iowa for the year ended June 30, 2009

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Audit report on the City of Center Point, Iowa for the year ended June 30, 2010

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Audit report on the City of Center Point, Iowa for the year ended June 30, 2011

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Pursuant to House File 451 the Single Point of Entry Long-Term Living Resources System Team, involving several state agencies as well as interested associations, submitted a report to the legislature on recommendations to establish a single point of entry system.

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Audit report on the City of Center Point, Iowa for the year ended June 30, 2012

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The primary goal of this project is to demonstrate the accuracy and utility of a freezing drizzle algorithm that can be implemented on roadway environmental sensing systems (ESSs). The types of problems related to the occurrence of freezing precipitation range from simple traffic delays to major accidents that involve fatalities. Freezing drizzle can also lead to economic impacts in communities with lost work hours, vehicular damage, and downed power lines. There are means for transportation agencies to perform preventive and reactive treatments to roadways, but freezing drizzle can be difficult to forecast accurately or even detect as weather radar and surface observation networks poorly observe these conditions. The detection of freezing precipitation is problematic and requires special instrumentation and analysis. The Federal Aviation Administration (FAA) development of aircraft anti-icing and deicing technologies has led to the development of a freezing drizzle algorithm that utilizes air temperature data and a specialized sensor capable of detecting ice accretion. However, at present, roadway ESSs are not capable of reporting freezing drizzle. This study investigates the use of the methods developed for the FAA and the National Weather Service (NWS) within a roadway environment to detect the occurrence of freezing drizzle using a combination of icing detection equipment and available ESS sensors. The work performed in this study incorporated the algorithm developed initially and further modified for work with the FAA for aircraft icing. The freezing drizzle algorithm developed for the FAA was applied using data from standard roadway ESSs. The work performed in this study lays the foundation for addressing the central question of interest to winter maintenance professionals as to whether it is possible to use roadside freezing precipitation detection (e.g., icing detection) sensors to determine the occurrence of pavement icing during freezing precipitation events and the rates at which this occurs.

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Audit report on the City of Center Point, Iowa for the year ended June 30, 2013