943 research outputs found

    Keynote Symposium

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    Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/142306/1/tafs0136.pd

    A Systems-Based Methodology for the Construction and Representation of Organizational Knowledge Systems

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    The purpose of this research was to develop and apply a systems-based, analysis methodology which constructs and represents an organization\u27s knowledge system. The research inquiry was guided by four questions: (1) “what is an organizational knowledge system?” (2) “how can it be made explicit?” (3) “does the representation accurately depict the organization\u27s perspective of their unique knowledge system?” and (4) “what results from the deployment of the organizational knowledge system methodology?” The resultant answers to these research questions advanced and established the theoretical conception of an organization\u27s knowledge system through the development of a methodology that fosters the construction and representation of the knowledge system. This study extends the existing scholarly literature by developing the concept of an organizational knowledge system through the synthesis of organizational learning and knowledge literature, thereby bridging a gap in the literature by holistically linking knowledge creation with current learning processes. The developed organizational knowledge system and model graphically present an organization\u27s unique knowledge system transforming what is most often a tacit understanding into a form that is explicit at a collective level. The research design applied the organizational knowledge system methodology to two organizations using a detailed step by step process, and evaluated each organization\u27s knowledge system using a mixed methodology analysis which combined quantitative and qualitative data collection methods and analysis techniques. The findings of this research indicated that an organization\u27s knowledge system can be explicitly constructed and represented. Furthermore, the research clearly indicated that an organization\u27s knowledge system is unique. This is evidenced not only in the mechanisms of an organization\u27s knowledge system, but more importantly the relational links between the components of their knowledge system. Also, the research indicates that the organizational knowledge system methodology is transferable to other organizations. This was accomplished by assessing each organization as an independent entity with its own unique knowledge system and contextual environment. Lastly, this research develops new theory (the organizational knowledge system) that addresses the holistic perspective and relationship between organizational learning and knowledge. In summary, this research equips organizations with the capability to know, understand, and manage their unique organizational knowledge system

    Tensor algebras and harmonic analysis

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    Autoplan: A self-processing network model for an extended blocks world planning environment

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    Self-processing network models (neural/connectionist models, marker passing/message passing networks, etc.) are currently undergoing intense investigation for a variety of information processing applications. These models are potentially very powerful in that they support a large amount of explicit parallel processing, and they cleanly integrate high level and low level information processing. However they are currently limited by a lack of understanding of how to apply them effectively in many application areas. The formulation of self-processing network methods for dynamic, reactive planning is studied. The long-term goal is to formulate robust, computationally effective information processing methods for the distributed control of semiautonomous exploration systems, e.g., the Mars Rover. The current research effort is focusing on hierarchical plan generation, execution and revision through local operations in an extended blocks world environment. This scenario involves many challenging features that would be encountered in a real planning and control environment: multiple simultaneous goals, parallel as well as sequential action execution, action sequencing determined not only by goals and their interactions but also by limited resources (e.g., three tasks, two acting agents), need to interpret unanticipated events and react appropriately through replanning, etc

    COMPARISON OF THE PERFORMANCE AND LOWER LIMB BIOMECHANICS OF DROP JUMP AND 10-5 REPETITVE REBOUND TESTS IN ACLR ATHLETES.

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    Double and single leg drop jump (DLDJ & SLDJ) assessments tend to be performed during the later stages of rehabilitation from an anterior cruciate ligament (ACL) injury due to the mechanical demands these assessments place on the lower limbs. Double and single leg 10-5 repetitive rebound tests (DLRJT and SLRJT) may be effective alternatives to examine lower limb mechanics at an earlier stage of rehabilitation. The purpose of this study was 1) to compare inter-limb performance and biomechanical differences within each jump test and 2) to compare biomechanical differences between the double and single leg versions of each test. Significant (
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