International Telemetering Conference Proceedings / October 25-28, 1993 / Riviera Hotel and Convention Center, Las Vegas, Nevada / An automated method is described for binding attributes to extracted data from a telemetry stream. These attributes can be used by post processing utilities to facilitate efficient analysis. A practical implementation of such a scheme is described.

International Telemetering Conference Proceedings / October 25-28, 1993 / Riviera Hotel and Convention Center, Las Vegas, Nevada / A long standing problem in telemetry post processing is the application of correct calibration factors to telemetered data generated on a system which has had a history of hardware changes. These calibration problems become most exacerbated when old test data is being examined and there is uncertainty as to hardware configuration at the time of the test. In this paper a mechanism for introducing a high degree of reliability in the application of calibration factors is described in an implementation done for Brilliant Pebbles Flight Experiment Three (FE-3).

International Telemetering Conference Proceedings / October 17-20, 1994 / Town & Country Hotel and Conference Center, San Diego, California / A long standing problem in telemetry applications is the recovery of data which has been damaged during downlink. Data recovery can be significantly improved by telemetering information in a packet format which employs redundant mechanisms for data encapsulation. A simple statistical algorithm (known as a "merge" algorithm) can be run on the captured data to derive a "least damaged" data set.

ITC/USA 2009 Conference Proceedings / The Forty-Fifth Annual International Telemetering Conference and Technical Exhibition / October 26-29, 2009 / Riviera Hotel & Convention Center, Las Vegas, Nevada / Once the test is complete, the job of the Data Analyst has begun. Files from the various acquisition systems are collected. It is the job of the analyst to put together these files in a readable format so the success or failure of the test can be attained. This paper will discuss the process of breaking down these files, comparing data from different systems, and methods of presenting the data.

Multi-view three-dimensional television relies on view synthesis to reduce the number of views being transmitted.  Arbitrary views can be synthesized by utilizing corresponding depth images with textures. The depth images obtained from stereo pairs or range cameras may contain erroneous values, which entail artifacts in a rendered view. Post-processing of the data may then be utilized to enhance the depth image with the purpose to reach a better quality of synthesized views. We propose a Partial Differential Equation (PDE)-based interpolation method for a reconstruction of the smooth areas in depth images, while preserving significant edges. We modeled the depth image by adjusting thresholds for edge detection and a uniform sparse sampling factor followed by the second order PDE interpolation. The objective results show that a depth image processed by the proposed method can achieve a better quality of synthesized views than the original depth image. Visual inspection confirmed the results.

Concussion and repetitive head impact exposure are significant media, clinical, and research topics. Long-term symptomatic outcomes of sub-injurious head impact exposure have become a topic of concern for professional and youth contact sport athletes alike. Vulnerable populations such as females and pediatric athletes deserve special attention but are understudied. It is known that females tend to be diagnosed with concussions more frequently and incur them at lower peak head kinematic values than their male counterparts. Sex-specific symptom presentation has been demonstrated, but little is known about the effect of athlete perception of head impact exposure or skill level on symptom reporting. Injury biomechanics research has begun to converge on using instrumented mouthguards to monitor head impact exposure in various sports. These devices offer six-degree-of-freedom head kinematic measurements and direct coupling to the measurement point of interest, the skull, by connecting to the upper dentition. However, published post-processing recommendations for these devices differ from one another and manufacturer practices. This lack of commonization makes cross-study comparison difficult. Additionally, the devices are plagued by relative motion artifacts that can leak into reported kinematic signals. The research presented in this dissertation aimed to first address a lack of common post-processing methods available for instrumented mouthguard measurements made with three linear accelerometers and three gyroscopes. We developed an optimal combination of cutoff frequencies for filters applied to these instruments by quantifying the minimal error from a transformation function. We then applied those same methods to instrumented mouthguards, minimizing error based on sport-specific impact duration. Next, mouthguard decoupling artifacts were described in a laboratory study. Decoupling increased kinematic error relative to ground truth measurements from an instrumented headform. We used these data to develop a classification algorithm that found signal features related to mouthguard decoupling while recording an acceleration event in an instrumented mouthguard. We proceeded to salvage impacts with decoupling artifacts. When decoupling was identified, the primary head acceleration signal could be salvaged by wavelet deconstruction. We removed high-frequency content that was representative of decoupling artifacts. We applied these optimized post-processing techniques to instrumented mouthguard data from a group of adolescent female ice hockey players. Their documented head impact exposure was correlated to symptom outcomes and ocular motor evaluation scores. Their sleep and menstrual cycle patterns were included as potential confounding factors. In this sample of athletes, sleep was more strongly associated with symptom presentation than head impact exposure. Ocular motor results showed a possible association with head acceleration exposure severity and menstrual cycle phase, but further study is warranted. Finally, a self-reported association between symptoms and head impact exposure appears to be individual- and skill-level specific, as we saw many variations between individuals of the same sex in what they called a "memorable" head impact. / Doctor of Philosophy / Concussion and repetitive head impact exposure are significant media, clinical, and research topics. Additionally, the long-term outcomes of sub-injurious head impact exposure have become a topic of concern for professional and youth contact sport athletes alike. Vulnerable populations such as females and pediatric athletes deserve special attention but are understudied. Sex-specific symptom presentation has been demonstrated, but little is known about the effect of athlete perception of head impact exposure or skill level on symptom reporting. Instrumented mouthguards are used to monitor head impact exposure in various sports. These devices measure linear and rotational head motion and couple directly to the measurement point of interest, the skull, by connecting to the upper dentition. However, published post-processing recommendations for these devices differ from one another and manufacturer practices. This lack of commonization makes cross-study comparison difficult. Additionally, the devices are plagued by relative motion (decoupling) artifacts that can leak into reported head motion signals. The research presented in this dissertation aimed to first address a lack of common post-processing methods available for instrumented mouthguard measurements made with three linear accelerometers and three gyroscopes. We developed an optimal combination of cutoff frequencies for filters applied to these instruments by quantifying the minimal error from a transformation function. We then applied those same methods to instrumented mouthguards, minimizing error based on sport-specific impact duration. Next, mouthguard decoupling artifacts were described in a laboratory study. Decoupling increased mouthguard error relative to ground truth measurements from an instrumented dummy headform and was direction dependent. We used these data to develop a classification algorithm that found signal features related to mouthguard decoupling while recording an acceleration event in an instrumented mouthguard. We proceeded to salvage impacts with decoupling artifacts through wavelet deconstruction. We applied these optimized post-processing techniques to instrumented mouthguard data from a group of adolescent female ice hockey players. Their documented head impact exposure was correlated to symptom outcomes and eye movement evaluation scores. In this sample of athletes, sleep was more strongly associated with symptom presentation than head impact exposure. Finally, a self-reported association between symptoms and head impact exposure appears to be individual- and skill-level specific, as we saw many variations between individuals of the same sex in what they called a "memorable" head impact.

International Telemetering Conference Proceedings / October 21, 2002 / Town & Country Hotel and Conference Center, San Diego, California / Commercial wireless protocol use (e.g. Wireless Access Protocol, Bluetooth, etc.) is becoming widespread as the demand to access computing devices in remote locations grows. Although not widely prevalent today, wireless access of post processed telemetry data will become a common activity. Essential to the use of such a capability is the security of the wireless links involved in the data transfer. Each wireless protocol has an associated security paradigm. Some protocols have stronger security schemes than others and this should influence protocol selection for particular telemetry data transfer applications.

Magnetic Resonance Spectroscopy (MRS) can be applied to probe noninvasively the concentrations and distribution of metabolites of human tissue in vivo. As the improving of hardware and localization techniques, MRS becomes more and more important in clinical applications. Furthermore, some post-processing software, like LCModel, provide a graphical user interface for efficient and convenient analysis of MR spectroscopic imaging and thus increase the value of MRS applications. Although LCModel provides an efficient analysis and produces stable results, it can not provide metabolite map to observe the distribution of metabolite concentrations. For this reason our study processes the output data of LCModel and Digital Imaging and Communications in Medicine (DICOM) format MR images for 2D/3D metabolite map displaying. Users can use this software to observe the metabolic distribution in AP, SI and RL slice of brain tissue. In the meanwhile, as the absolute quantification of MRS has played more and more important role in clinical applications, this study also provides the LCModel end users an easy way for interpretation.

Analog and mixed signal device testing is resource intensive due to the spectral and temporal speci cations of the input/output interface signals. These devices and circuits are commonly validated by parametric speci fication tests to ensure compliance with the required performance criteria. Analog signal complexity increases resource requirements for the Automatic Test Equipment (ATE) systems used for commercial testing, making mixed signal testing resource ine cient as compared to digital structural testing. This dissertation proposes and implements a test ecosystem to address these constraints where Built In Self Test (BIST) modules are designed for internal stimulus generation. Data learning and processing algorithms are developed for output response shaping. This modi ed output response is then compared against the established performance matrices to maintain test quality with low cost receiver hardware. BIST modules reduce dependence on ATE resources for stimulus and output observation while improving capability to test multiple devices in parallel. Data analysis algorithms are used to predict specification parameters based on learning methods applied to measurable device parameters. Active hardware resources can be used in conjunction with post processing resources to implement complex speci cation based tests within the hardware limitations. This dissertation reviews the results obtained with the consolidated approach of using BIST, output response analysis and active hardware resources to reduce test cost while maintaining test quality. / text

This thesis presents a novel work on hardware realization of symmetric image encryption utilizing chaos based continuous systems as pseudo random number generators. Digital implementation of chaotic systems results in serious degradations in the dynamics of the system. Such defects are illuminated through a new technique of generalized post proceeding with very low hardware cost. The thesis further discusses two encryption algorithms designed and implemented as a block cipher and a stream cipher. The security of both systems is thoroughly analyzed and the performance is compared with other reported systems showing a superior results. Both systems are realized on Xilinx Vetrix-4 FPGA with a hardware and throughput performance surpassing known encryption systems.