8 resultados para Steering-gear
em Iowa Publications Online (IPO) - State Library, State of Iowa (Iowa), United States
Resumo:
This Manual is designed to help targeted communities organize and train local steering groups and task force leaders. The Ongoing Covenant with Black Iowa (OCBI) model will engage and empower African Americans in various communities to work together in developing strategies that bridge local priorities to statewide goals. Trained Task Force Leaders play a critical role in establishing productive dialogue and planning that is essential to moving the OCBI forward in meeting its goals. They must ensure consistency within each Task Force as the OCBI is a multilevel partnership and collaboration among local communities, the Commission on the Status of African Americans and the Covenant with Black America. Task Force Leaders assist with constructive dialogue among local residents to engage and focus on the issues, and work collectively towards a solution. Patience in developing a strategy and trained Task Force Leaders are essential to the success of the OCBI. It is our hope that this Manual will serve as a guide to assist you in all aspects of building your local strategic plan.
Resumo:
This report describes the results of the research project investigating the use of advanced field data acquisition technologies for lowa transponation agencies. The objectives of the research project were to (1) research and evaluate current data acquisition technologies for field data collection, manipulation, and reporting; (2) identify the current field data collection approach and the interest level in applying current technologies within Iowa transportation agencies; and (3) summarize findings, prioritize technology needs, and provide recommendations regarding suitable applications for future development. A steering committee consisting oretate, city, and county transportation officials provided guidance during this project. Technologies considered in this study included (1) data storage (bar coding, radio frequency identification, touch buttons, magnetic stripes, and video logging); (2) data recognition (voice recognition and optical character recognition); (3) field referencing systems (global positioning systems [GPS] and geographic information systems [GIs]); (4) data transmission (radio frequency data communications and electronic data interchange); and (5) portable computers (pen-based computers). The literature review revealed that many of these technologies could have useful applications in the transponation industry. A survey was developed to explain current data collection methods and identify the interest in using advanced field data collection technologies. Surveys were sent out to county and city engineers and state representatives responsible for certain programs (e.g., maintenance management and construction management). Results showed that almost all field data are collected using manual approaches and are hand-carried to the office where they are either entered into a computer or manually stored. A lack of standardization was apparent for the type of software applications used by each agency--even the types of forms used to manually collect data differed by agency. Furthermore, interest in using advanced field data collection technologies depended upon the technology, program (e.g.. pavement or sign management), and agency type (e.g., state, city, or county). The state and larger cities and counties seemed to be interested in using several of the technologies, whereas smaller agencies appeared to have very little interest in using advanced techniques to capture data. A more thorough analysis of the survey results is provided in the report. Recommendations are made to enhance the use of advanced field data acquisition technologies in Iowa transportation agencies: (1) Appoint a statewide task group to coordinate the effort to automate field data collection and reporting within the Iowa transportation agencies. Subgroups representing the cities, counties, and state should be formed with oversight provided by the statewide task group. (2) Educate employees so that they become familiar with the various field data acquisition technologies.
Resumo:
As the list of states adopting the HWTD continues to grow, there is a need to evaluate how results are utilized. AASHTO T 324 does not standardize the analysis and reporting of test results. Furthermore, processing and reporting of the results among manufacturers is not uniform. This is partly due to the variation among agency reporting requirements. Some include only the midpoint rut depth, while others include the average across the entire length of the wheel track. To eliminate bias in reporting, statistical analysis was performed on over 150 test runs on gyratory specimens. Measurement location was found to be a source of significant variation in the HWTD. This is likely due to the nonuniform wheel speed across the specimen, geometry of the specimen, and air void profile. Eliminating this source of bias when reporting results is feasible though is dependent upon the average rut depth at the final pass. When reporting rut depth at the final pass, it is suggested for poor performing samples to average measurement locations near the interface of the adjoining gyratory specimens. This is necessary due to the wheel lipping on the mold. For all other samples it is reasonable to only eliminate the 3 locations furthest from the gear house. For multi‐wheel units, wheel side was also found to be significant for poor and good performing samples. After eliminating the suggested measurements from the analysis, the wheel was no longer a significant source of variation.
Resumo:
Pieces of Iowa’s Past, published by the Iowa State Capitol Tour Guides weekly during the legislative session, features historical facts about Iowa, the Capitol, and the early workings of state government. All historical publications are reproduced here with the actual spelling, punctuation, and grammar retained. January 23, 2013 THIS WEEK: Iowa’s Grasshopper Plague of 1873 BACKGROUND: Fifteen General Assembly The 15th General Assembly convened January 12 and adjourned March 19, 1874—a 67-day session. The Senate had six Democratic members, 34 Republican members, and 10 Independent members. The House of Representatives had six Democratic members, 50 Republican members, and 44 Independent members. There were a total of 150 legislators in Iowa. By 1874, the Capital had been relocated to Des Moines. The legislature had occupied the old Brick Capitol since 1858. Joseph Dysart was the Lieutenant Governor presiding in the Senate, and John Gear was Speaker of the House of Representatives. Iowa’s population at the 1870 federal census had grown to 1,194,020. Both House and Senate journals from the 15th Iowa General Assembly include several references to assisting the destitution brought on by the 1874 plague of grasshoppers in Northwestern Iowa. Senator Perkins, from the Special Committee appointed to inquire into the reports of destitution in the northwestern counties of Iowa, submitted the following report, in part: “We have examined such evidence as is attainable here, and made such inquiries of parties interested in affording temporary relief as were to be met, and are pieces satisfied in our own minds that the case is one of sufficient importance to command the attention of the State.”
Resumo:
This report describes the development of performance measures for the Iowa DOT Construction Offices. The offices are responsible for administering all transportation construction projects for the Iowa DOT. In conjunction with a steering team composed of representatives of the Construction Offices, the research team developed a list of eight key processes and a set of measures for each. Two kinds of data were gathered: baseline data and benchmark data. Baseline data is used to characterize current performance. Benchmark data is gathered to find organizations that have excellent performance records for one or more key functions. This report discusses the methodology used and the results obtained. The data obtained represents the first set of data points. Subsequent years will establish trends for each of the measures, showing improvement or lack of it.
Resumo:
This report describes the continuation of the development of performance measures for the Iowa Department of Transportation (DOT) Offices of Construction. Those offices are responsible for administering transportation construction projects for the Iowa DOT. Researchers worked closely with the Benchmark Steering Team which was formed during Phase I of this project and is composed of representatives of the Offices of Construction. The research team conducted a second survey of Offices of Construction personnel, interviewed numerous members of the Offices and continued to work to improve the eight key processes identified during Phase I of this research. The eight key processes include Inspection of Work, Resolution of Technical Issues, Documentation of Work Progress and Pay Quantities, Employee Training and Development, Continuous Feedback for Improved Contract Documents, Provide Safe Traffic Control, External/Public Communication, and Providing Pre-Letting Information. Three to four measurements were specified for each key process. Many of these measurements required opinion surveys of employees, contractors, and others. During Phase II, researchers concentrated on conducting surveys, interviewing respondents to improve future surveys, and facilitating Benchmark Steering Team monthly meetings. Much effort was placed on using the information collected during the first year's research to improve the effectiveness and efficiency of the Offices of Construction. The results from Process Improvement Teams that studied Traffic Control and Resolution of Technical Issues were used to improve operations.
Resumo:
This report describes the work accomplished to date on research project HR-173, A Computer Based Information System for County Equipment Cost Records, and presents the initial design for this system. The specific topics discussed here are findings from the analysis of information needs, the system specifications developed from these findings, and the proposed system design based upon the system specifications. The initial system design will include tentative input designs for capturing input data, output designs to show the output formats and the items to be output for use in decision making, file design showing the organization of information to be kept on each piece of equipment in the computer data file, and general system design explaining how the entire system will operate. The Steering Committee appointed by Iowa Highway Research Board is asked to study this report, make appropriate suggestions, and give approval to the proposed design subject to any suggestions made. This approval will permit the designer to proceed promptly with the development of the computer program implementation phase of the design.
Resumo:
A water quality resource concern has come to the forefront in the Upper Miller Creek watershed in Black Hawk County after five to seven inches of rain fell on the area on May 22nd and 23rd of 2004 and unprecedented amounts of soil and organic debris were washed from cultivated areas, clogging most culverts and roadside ditches. The quantity of soil deposited in ditches gave a good indication of the amounts that were transported into the stream. The estimated total cost to Black Hawk County for cleanup and repair within the road right-of-way was $345,000. There were undetermined environmental costs incurred when the incredibly high volumes of soil washed from the fields into Miller Creek which flows directly into the Cedar River that is identified by the Department of Natural Resources as an impaired water body. The Upper Miller Creek Watershed Project is an innovative, collaborative project intended to meet a specific need identified by a local steering committee made up of concerned community agencies and local landowners. Led by the Soil and Water Conservation District and the Black Hawk County Board of Supervisors, the Miller Creek Watershed Project seeks to reduce soil erosion, improve water quality, and reduce county road infrastructure cost by implementing conservation practices, reducing nutrient and pesticide use and improving wildlife habitat.