In solving target tracking problems, the Kalman filter (KF) is one of the most widely used estimators. Whether the state of target movement adapts to the changes in the observations depends on the model assumptions. The interacting multiple model (IMM) algorithm uses interaction of a bank of parallel Kalman filters to solve the hypothetical model of tracking maneuvering target. Based on the function of soft switching, the IMM algorithm, with parallel Kalman filters of different dimensions, can perform well by adjusting the model weights. Nonetheless, the uncertainty in measured data and the types of sensing systems used for target tracking may still hinder the signal processing in the IMM. In order to improve the performance of target tracking and signal estimation, the concept of data fusion can be adapted in the IMM-based structures. Multiple IMM based estimators can be used in the structure of multi-sensor data fusion. In this thesis, we propose a dual-IMM estimator structure, in which data fusion of the two IMM estimators is achieved by updating associated model probabilities. Suppose that two sensors for measuring the moving target is affected by the different degrees of noise, the measured data can be processed first through two separate IMM estimators. Then, the IMM-based estimators exchange with each other the estimates, model probabilities and model transition probabilities. The dual-IMM estimator will integrate the shared data based on the proposed dual-IMM algorithm. The dual-IMM estimator can be used to avoid degraded performance of single IMM with insufficient data or undesirable environmental effects. The simulation results show that a single IMM estimator with smaller measurement noise level can be used to compensate the other IMM, which is affected by larger measurement noise. Improved overall performance from the dual-IMM estimator is obtained. Generally speaking, the two IMM estimators in the proposed structure achieve better performance when same level of measurement noise is assumed. The proposed dual-IMM estimator structure can be easily extended to multiple-IMM structure for estimation and data fusion.

In this thesis, we investigate a decentralized data fusion system with improved particle filters for target tracking. In many application areas, it becomes essential to use nonlinear and non-Gaussian elements to accurately model the underlying dynamics of a physical system. Particle filters have a great potential for solving highly nonlinear and non-Gaussian estimation problems, in which the traditional Kalman filter and extended Kalman filter may generally fail. To improve the tracking performance of particle filters, initialization of the particles is studied. We construct an initial state distribution by using least square estimation. In addition, to enhance the tracking capability of particle filters, representation of target velocity by another set of particles is considered. We include another layer of particle filter inside the original particle filter for updating the velocity. In our proposed architecture, we assume that each sensor node contain a particle filter and there is no fusion center in the sensor network. Approximated a posteriori distribution at the sensor is obtained by using the local particle filters with the Gaussian mixture model (GMM), so that more compact representations of the distribution for transmission can be obtained. To achieve information sharing and integration, the GMM-covariance intersection algorithm is used in formulating the decentralized fusion solutions. Simulation results are presented to illustrate that the performance of the improved particle filter is better than standard particle filter. In addition, simulation results of target tracking in the sensor system with three sensor nodes are given to show the effectiveness and superiority of the proposed architecture.

<p>In the 1960’s, the Japanese car manufacturer Toyota developed target costing – a management accounting model that reduces the risk of releasing unprofitable products. The method eventually spread to Swedish firms.</p><p>The study starts by summing recent previous research on target costing in Sweden (full description of these studies is available in Appendix I). Looking at this research, it is noted that there is an inconsistency with regards to what principles of target costing are used, and which are not. It is also noted that some firms are claimed to be used target costing and some firms are claimed not to be using it. No study, however, has tried to find an explanation to why some principles are implemented and why some are not. This is also the theoretical contribution of this thesis.</p><p>More specifically, the research problems are therefore: (1) is target costing really implemented in a different way in Sweden as compared to Japan and (2), if so, why are there differences? It is further assumed that ideology could be a good explaining variable for the possible differences in implementation.</p><p>In answering the first question, target costing is firstly described according to well-known books and articles on the subject. Following normative description, a presentation is made how target costing has been employed in Sweden. Secondary data based on three quantative studies is used here. These two descriptions are then contrasted against each other and it is found that target costing is implemented in a different way as compared to normative Japanese literature.</p><p>Next, the second question is answered by constructing a theoretical framework based on ideological- and managerial assumptions of Japan and Sweden, respectively. This framework is then used to try to explain the differences mentioned above. Through the analysis it is observed that the Swedes’ lower priority of financial goal as well as their orientation towards the future are often used to explain the differences. These two aspects are also two of the main differences between Swedish and Japanese ideologies.</p><p>It is therefore concluded that the differences might be explained using ideological assumptions, although there are probably other important factors as well. An implication of the result is that it is questionable whether target costing even will reach popularity in Sweden. Finally, it is also concluded that Likert-scales are not usefil when measuring target costing implementation</p>

Thesis (M.S.)--Brigham Young University. Dept. of Mechanical Engineering, 2004. / Includes bibliographical references (p. 103-107).

Thesis--School of Advanced Airpower Studies, Maxwell Air Force Base, Ala., 1993-94. / Title from title screen (viewed Nov. 3, 2003). "April 1995." Includes bibliographical references.

Dissertation (Ph.D.)--Auburn University, 2009. / Abstract. Vita. Includes bibliographic references (p.131-139).

In this report, the author investigates the process of encoding cultural cues into advertisements targeting the African American market. More specifically, this study focuses on advertising professional’s perceptions of African American culture, and using them to create relationships between brands and the African American community. While the cues integrated into an advertisement’s message seek to prompt a favorable response from African Americans, they also communicate perceptions of African American identity and culture to society. This report is an analysis of three in-depth case studies, which give insight into the production process of target marketing for the African American market. This process includes learning about culture, generating ideas relevant to the culture, and integrating that knowledge into advertisements intended to influence consumer behavior through mass communication. / text

This thesis details the development of a custom autopilot system designed specifically for multi-agent robotic missions. The project was motivated by the need for a flexible autopilot system architecture that could be easily adapted to a variety of future multi-vehicle experiments. The development efforts can be split into three categories: algorithm and software development, hardware development, and testing and integration. Over 12,000 lines of C++ code were written in this project, resulting in custom flight and ground control software. The flight software was designed to run on a Gumstix Overo Fire(STORM) computer on module (COM) using a Linux Angstrom operating system. The flight software was designed to support the onboard GN&C algorithms. The ground control station and its graphical user interface were developed in the Qt C++ framework. The ground control software has been proven to operate safely during multi-vehicle tests, and will be an asset in future work. Two TSH GAUI 500X quad-rotors and one Gears Educational Systems SMP rover were integrated into an autonomous swarm. Each vehicle used the Gumstix Overo COM. The C-DUS Pilot board was designed as a custom interface circuit board for the Overo COM and its expansion board, the Gumstix Pinto-TH. While the built-in WiFi capability of the Overo COM served as a communication link to a central wireless router, the C-DUS Pilot board allowed for the compact and reliable integration of sensors and actuators. The sensors used in this project were limited to accelerometers, gyroscopes, magnetometers, and GPS. All of the components underwent extensive testing. A series of ground and flight tests were conducted to safely and gradually prove system capabilities. The work presented in this thesis culminated with a successful three-vehicle autonomous demonstration comprised of two quad-rotors executing a standoff tracking trajectory around a moving rover, while simultaneously performing GPS-based collision avoidance. / text

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The phenomenon of Terrorism has perplexed and fascinated policy makers and scholars. While there has been significant amount of research on Terrorism, the dynamics or Pathologies of Terrorist Target Selection have received less attention, with few comprehensive treatises on the subject. In this paper, I review and critique existing literature on the subject, while offering a different perspective and model for this dynamic. First, I introduce a contemporary definition of terrorism and establish a framework for the analysis of Terrorist Target Selection. In Chapter 2, I posit that accurate Target Selection Forecasting Techniques need to account for the Adaptive Learning Mechanisms that Terrorist Groups adopt and existing case studies on the subject. Chapter 3 undertakes a critical literature review of Target Selection Case Studies. In Chapter 4, I suggest new research proposals that adopt this theme. In conclusion, I offer what we believe is a novel approach to understanding Terrorist Target Selection and argue that such a model should be flexible enough to work across the various Ideological Silos that Terrorist movements are bracketed into in the current Geo-Political Environment. / text