Exhibit: “Tumult and Tragedy: Michigan’s 1913-1914 Copper Strike”

Tumult and Tragedy: Michigan’s 1913-14 Copper Strike chronicles one of the greatest upheavals in Michigan’s history. The determination, conflict, sorrow, and tragedy of this epic confrontation changed the Copper Country for decades and memories of conflict remain to this day. This traveling exhibit explores the story of this remarkable period in Michigan history.

Exhibit: “Tumult and Tragedy: Michigan’s 1913-1914 Copper Strike”

Tumult and Tragedy: Michigan’s 1913-14 Copper Strike chronicles one of the greatest upheavals in Michigan’s history. The determination, conflict, sorrow, and tragedy of this epic confrontation changed the Copper Country for decades and memories of conflict remain to this day. This traveling exhibit explores the story of this remarkable period in Michigan history.

Exhibit: “Tumult and Tragedy: Michigan’s 1913-1914 Copper Strike”

Tumult and Tragedy: Michigan’s 1913-14 Copper Strike chronicles one of the greatest upheavals in Michigan’s history. The determination, conflict, sorrow, and tragedy of this epic confrontation changed the Copper Country for decades and memories of conflict remain to this day. This traveling exhibit explores the story of this remarkable period in Michigan history.

Exhibit: "Michigan-I-O": Alan Lomax and the 1938 Library of Congress Folk-Song Expedition"

In 1938, a young folk music collector named Alan Lomax—destined to become one of the legendary folklorists of the 20th century recorded Michigan’s richly varied folk music traditions for the Archive of American Folk-Song at the Library of Congress. Michigan in the 1930s was experiencing a golden age of folksong collecting, as local folklorists mined the trove of ballads remembered by aging lumbermen and Great Lakes schoonermen. In addition to the ballads of these north woods singers, Lomax recorded a vibrant mix of ethnic music from Detroit to the western Upper Peninsula. The multimedia performance event Folksongs from Michigan-i-o combines live performance with historic images, color movie footage, and recorded sound from the Great Depression. Some of these materials haven’t been heard or seen by the general public for more than seven decades. The traveling exhibition Michigan Folksong Legacy: Grand Discoveries from the Great Depression brings Alan Lomax’s 1938 field trip to life through words, song lyrics, photographs, and sound recordings. Ten interpretive banners explore themes and each panel contains a QR code that links to related sound recordings from the Alan Lomax Collection at the American Folklife Center, Library of Congress.

Exhibit: "Michigan-I-O": Alan Lomax and the 1938 Library of Congress Folk-Song Expedition"

In 1938, a young folk music collector named Alan Lomax—destined to become one of the legendary folklorists of the 20th century recorded Michigan’s richly varied folk music traditions for the Archive of American Folk-Song at the Library of Congress. Michigan in the 1930s was experiencing a golden age of folksong collecting, as local folklorists mined the trove of ballads remembered by aging lumbermen and Great Lakes schoonermen. In addition to the ballads of these north woods singers, Lomax recorded a vibrant mix of ethnic music from Detroit to the western Upper Peninsula. The multimedia performance event Folksongs from Michigan-i-o combines live performance with historic images, color movie footage, and recorded sound from the Great Depression. Some of these materials haven’t been heard or seen by the general public for more than seven decades. The traveling exhibition Michigan Folksong Legacy: Grand Discoveries from the Great Depression brings Alan Lomax’s 1938 field trip to life through words, song lyrics, photographs, and sound recordings. Ten interpretive banners explore themes and each panel contains a QR code that links to related sound recordings from the Alan Lomax Collection at the American Folklife Center, Library of Congress.

Exhibit: "Michigan-I-O": Alan Lomax and the 1938 Library of Congress Folk-Song Expedition

In 1938, a young folk music collector named Alan Lomax—destined to become one of the legendary folklorists of the 20th century recorded Michigan’s richly varied folk music traditions for the Archive of American Folk-Song at the Library of Congress. Michigan in the 1930s was experiencing a golden age of folksong collecting, as local folklorists mined the trove of ballads remembered by aging lumbermen and Great Lakes schoonermen. In addition to the ballads of these north woods singers, Lomax recorded a vibrant mix of ethnic music from Detroit to the western Upper Peninsula. The multimedia performance event Folksongs from Michigan-i-o combines live performance with historic images, color movie footage, and recorded sound from the Great Depression. Some of these materials haven’t been heard or seen by the general public for more than seven decades. The traveling exhibition Michigan Folksong Legacy: Grand Discoveries from the Great Depression brings Alan Lomax’s 1938 field trip to life through words, song lyrics, photographs, and sound recordings. Ten interpretive banners explore themes and each panel contains a QR code that links to related sound recordings from the Alan Lomax Collection at the American Folklife Center, Library of Congress.

Study of and design procedure for dual circularly polarized waveguide slot arrays

For the past sixty years, waveguide slot radiator arrays have played a critical role in microwave radar and communication systems. They feature a well-characterized antenna element capable of direct integration into a low-loss feed structure with highly developed and inexpensive manufacturing processes. Waveguide slot radiators comprise some of the highest performance—in terms of side-lobe-level, efficiency, etc. — antenna arrays ever constructed. A wealth of information is available in the open literature regarding design procedures for linearly polarized waveguide slots. By contrast, despite their presence in some of the earliest published reports, little has been presented to date on array designs for circularly polarized (CP) waveguide slots. Moreover, that which has been presented features a classic traveling wave, efficiency-reducing beam tilt. This work proposes a unique CP waveguide slot architecture which mitigates these problems and a thorough design procedure employing widely available, modern computational tools. The proposed array topology features simultaneous dual-CP operation with grating-lobe-free, broadside radiation, high aperture efficiency, and good return loss. A traditional X-Slot CP element is employed with the inclusion of a slow wave structure passive phase shifter to ensure broadside radiation without the need for performance-limiting dielectric loading. It is anticipated this technology will be advantageous for upcoming polarimetric radar and Ka-band SatCom systems. The presented design methodology represents a philosophical shift away from traditional waveguide slot radiator design practices. Rather than providing design curves and/or analytical expressions for equivalent circuit models, simple first-order design rules – generated via parametric studies — are presented with the understanding that device optimization and design will be carried out computationally. A unit-cell, S-parameter based approach provides a sufficient reduction of complexity to permit efficient, accurate device design with attention to realistic, application-specific mechanical tolerances. A transparent, start-to-finish example of the design procedure for a linear sub-array at X-Band is presented. Both unit cell and array performance is calculated via finite element method simulations. Results are confirmed via good agreement with finite difference, time domain calculations. Array performance exhibiting grating-lobe-free, broadside-scanned, dual-CP radiation with better than 20 dB return loss and over 75% aperture efficiency is presented.

Algorithms for spacecraft formation flying navigation based on wireless positioning system measurements

Spacecraft formation flying navigation continues to receive a great deal of interest. The research presented in this dissertation focuses on developing methods for estimating spacecraft absolute and relative positions, assuming measurements of only relative positions using wireless sensors. The implementation of the extended Kalman filter to the spacecraft formation navigation problem results in high estimation errors and instabilities in state estimation at times. This is due tp the high nonlinearities in the system dynamic model. Several approaches are attempted in this dissertation aiming at increasing the estimation stability and improving the estimation accuracy. A differential geometric filter is implemented for spacecraft positions estimation. The differential geometric filter avoids the linearization step (which is always carried out in the extended Kalman filter) through a mathematical transformation that converts the nonlinear system into a linear system. A linear estimator is designed in the linear domain, and then transformed back to the physical domain. This approach demonstrated better estimation stability for spacecraft formation positions estimation, as detailed in this dissertation. The constrained Kalman filter is also implemented for spacecraft formation flying absolute positions estimation. The orbital motion of a spacecraft is characterized by two range extrema (perigee and apogee). At the extremum, the rate of change of a spacecraft’s range vanishes. This motion constraint can be used to improve the position estimation accuracy. The application of the constrained Kalman filter at only two points in the orbit causes filter instability. Two variables are introduced into the constrained Kalman filter to maintain the stability and improve the estimation accuracy. An extended Kalman filter is implemented as a benchmark for comparison with the constrained Kalman filter. Simulation results show that the constrained Kalman filter provides better estimation accuracy as compared with the extended Kalman filter. A Weighted Measurement Fusion Kalman Filter (WMFKF) is proposed in this dissertation. In wireless localizing sensors, a measurement error is proportional to the distance of the signal travels and sensor noise. In this proposed Weighted Measurement Fusion Kalman Filter, the signal traveling time delay is not modeled; however, each measurement is weighted based on the measured signal travel distance. The obtained estimation performance is compared to the standard Kalman filter in two scenarios. The first scenario assumes using a wireless local positioning system in a GPS denied environment. The second scenario assumes the availability of both the wireless local positioning system and GPS measurements. The simulation results show that the WMFKF has similar accuracy performance as the standard Kalman Filter (KF) in the GPS denied environment. However, the WMFKF maintains the position estimation error within its expected error boundary when the WLPS detection range limit is above 30km. In addition, the WMFKF has a better accuracy and stability performance when GPS is available. Also, the computational cost analysis shows that the WMFKF has less computational cost than the standard KF, and the WMFKF has higher ellipsoid error probable percentage than the standard Measurement Fusion method. A method to determine the relative attitudes between three spacecraft is developed. The method requires four direction measurements between the three spacecraft. The simulation results and covariance analysis show that the method’s error falls within a three sigma boundary without exhibiting any singularity issues. A study of the accuracy of the proposed method with respect to the shape of the spacecraft formation is also presented.

A NATURALISTIC COMPUTATIONAL MODEL OF HUMAN BEHAVIOR IN NAVIGATION AND SEARCH TASKS

Planning, navigation, and search are fundamental human cognitive abilities central to spatial problem solving in search and rescue, law enforcement, and military operations. Despite a wealth of literature concerning naturalistic spatial problem solving in animals, literature on naturalistic spatial problem solving in humans is comparatively lacking and generally conducted by separate camps among which there is little crosstalk. Addressing this deficiency will allow us to predict spatial decision making in operational environments, and understand the factors leading to those decisions. The present dissertation is comprised of two related efforts, (1) a set of empirical research studies intended to identify characteristics of planning, execution, and memory in naturalistic spatial problem solving tasks, and (2) a computational modeling effort to develop a model of naturalistic spatial problem solving. The results of the behavioral studies indicate that problem space hierarchical representations are linear in shape, and that human solutions are produced according to multiple optimization criteria. The Mixed Criteria Model presented in this dissertation accounts for global and local human performance in a traditional and naturalistic Traveling Salesman Problem. The results of the empirical and modeling efforts hold implications for basic and applied science in domains such as problem solving, operations research, human-computer interaction, and artificial intelligence.