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Filtering by: Subject Lumbering -- Data processing Remove constraint Subject: Lumbering -- Data processing Degree Name Master of Science (M.S.) Remove constraint Degree Name: Master of Science (M.S.) Rights Statement In Copyright Remove constraint Rights Statement: In Copyright

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  • Computer aided tolerance analysis and process selection for AutoCAD

    Creator:
    Pamulapati, Sairam V.
    Abstract:
    The fundamental objective of a design engineer in performing tolerance technology is to transform functional requirements into tolerances on individual parts based on existing data and algorithms for design tolerance analysis and synthesis. The transformation of functional requirements into tolerances must also consider the existing process capabilities and manufacturing costs...
    Resource Type:
    Masters Thesis
    Full Text:
    based on existing data and algorithms for design tolerance analysis and synthesis. The transformation

  • On-line lumber quality control technique using image processing

    Creator:
    Aslam, Fatima
    Abstract:
    Product quality control is the back bone for an efficient process control system. By monitoring the size of the board cut in a sawmill, performance of the production system can be controlled. Feedback from the quality control system is used to evaluate the status of the production system and also...
    Resource Type:
    Masters Thesis

  • An efficient methodology for scheduling general flexible manufacturing systems

    Creator:
    Sonthinen, Adulwit
    Abstract:
    Flexible Manufacturing Systems (FMSs) have evolved rapidly over the last decade. One important factor that influences the performance of FMS is scheduling. Scheduling in an FMS differs from that in a conventional job-shop because each operation of a job may be performed by any one of several machines. Most studies...
    Resource Type:
    Masters Thesis
    Full Text:
    for the Small Problem in SuperLINDO. 80 Appendix B Potential Data Set 88 Appendix C Normal

  • A computer-assisted qualitative data analysis framework for the engineering management domain

    Creator:
    Saeedi, Amirali
    Abstract:
    Qualitative data analysis (QDA) is a time consuming and, potentially unreliable research activity. In qualitative research, a number of tasks must be repeated for every new research case, even if each case is closely related or is in the same area of study. Existing QDA applications provide users with a...
    Resource Type:
    Masters Thesis
    Full Text:
    important step in preparation of data for processing (Keim, 2002). To capture knowledge existing in text

  • A SAT-based planning framework for optimizing resource production

    Creator:
    Ventura, Christopher
    Abstract:
    Domain-independent automated planning is concerned with computing a sequence of actions that can transform an initial state into a desired goal state. Resource production domains form an interesting class of such problems, in that they typically require reasoning about concurrent durative-actions with continuous effects while minimizing some cost function. Although...
    Resource Type:
    Masters Thesis

  • Bitmap Indexing : Energy Applications and Improvements

    Creator:
    McCamish, Benjamin
    Abstract:
    Large databases and data warehouses are becoming prevalent for the storage and management of energy data. Accelerating the rates at which data can be retrieved is beneficial not only to allow for more efficient search of the data, but also to be integrated with other energy system tools. In this...
    Resource Type:
    Masters Thesis
    Full Text:
    : Eduardo J. Cotilla-Sanchez Large databases and data warehouses are becoming prevalent for the storage and

  • Equal contrast tint progressions for computer cartography

    Creator:
    Bernert, Joseph A.
    Abstract:
    A psychophysical bisectioning experiment was performed to evaluate equal steps within tint progressions on a high resolution graphics terminal. In the bisectioning experiment each respondent partitioned a tint progression by interactively defining colors that were perceptually equidistant between two previously defined colors. Twenty test subjects performed the test on the...
    Resource Type:
    Masters Thesis
    Full Text:
    interested in the mental processing of geographic data, and/or the visual perception of spatial

  • Motion detection algorithm using wavelet transform

    Creator:
    Lee, Jeongmin
    Abstract:
    This thesis presents an algorithm that estimates motion in image sequence using wavelet transform. The motion detection is performed under unfavorable conditions of background movement, change of brightness, and noise. The algorithm is tolerant to brightness changes, noise, and small movement in the background. The false alarm rate of motion...
    Resource Type:
    Masters Thesis
    Full Text:
    algorithm is data-based, and can detect only reference patterns. Letang et al.5 use the reference pattern

  • A probabilistic model for anomaly detection in remote sensor streams

    Creator:
    Dereszynski, Ethan W.
    Abstract:
    Remote sensors are becoming the standard for observing and recording ecological data in the field. Such sensors can record data at fine temporal resolutions, and they can operate under extreme conditions prohibitive to human access. Unfortunately, sensor data streams exhibit many kinds of errors ranging from corrupt communications to partial...
    Resource Type:
    Masters Thesis
    Full Text:
    for observing and recording ecological data in the field. Such sensors can record data at fine

  • Volume-volume matching

    Creator:
    Sandhu, Avneet
    Abstract:
    Oftentimes in visualization, the goal of using volume datasets is not just to visualize them but also to analyze and compare them. In order to compare the two volumes, we cannot take all the voxels into consideration. The size of a typical volume data set is quite large (maybe a...
    Resource Type:
    Masters Thesis
    Full Text:
    cannot take all the voxels into consideration. The size of a typical volume data set is quite large