International Telemetering Conference Proceedings / October 26-29, 1992 / Town and Country Hotel and Convention Center, San Diego, California / A fiber optic event timing system was developed for the High Speed Test Track at Holloman Air Force Base, Alamogordo, NM. The system uses fiber optic sensors to detect the passage of rocket sleds by different stations along the track. The sensors are connected by fiber optic cables to an electronics package that records the event time to a resolution of 100 nanoseconds. By use of a GPS receiver as the timebase, the event time is stored to an absolute accuracy of 300 nanoseconds. Custom VMEbus boards were developed for the event timing function, and these boards are controlled by a programmable high speed sequencer, which allows for complicated control functions. Each board has 4 electro-optic channels, and multiple boards can be used in a VMEbus card cage controlled by a single board computer. The system has been tested in a series of missions at the Test Track.

In a market environment that is subject to continuous changes, companies need to adapttheir production systems in order to maintain the competitive edge. Current literatureshows that with a successful production system design, higher levels of output, eciencyand quality can be achieved.However, designing a production system is done infrequently and therefore tends tolack experience. As a result, design decisions have to be made under uncertainty due toa lack of information, structure and knowledge. In fact, the success of a design process isdirectly linked to the level of uncertainty.The purpose of this thesis is to reduce uncertainty in production system design throughDiscrete Event Simulation before an assembly system is implemented. Therefore, a theoreticalstudy was carried out dening types and sources of uncertainty in productionsystem design. Parallel to the theoretical study, a case study in Volvo ConstructionEquipment Operations Hallsberg was conducted. Discrete Event Simulation was testedas a tool to reduce uncertainty in production system design.The analysis illustrates the observed sources of uncertainty in production systemdesign cover a process, organizational, corporate, market and cultural context.The relevant uncertainty types identied in the case study in Volvo ConstructionEquipment Operations Hallsberg were environmental, system, technical, structural,temporal, lack of knowledge and lack of information. The information providedby the Discrete Event Simulation in order to reduce uncertainty are in form ofKPIs, process structure and visualization. The provided information had a positiveimpact on the degree of technical uncertainties, the lack of knowledge and thelack of information. As a result, the level of uncertainty in the Volvo ConstructionEquipment Operations Hallsberg future line designing process was reduced.

This study expands on previous research regarding the effect of CEO performance on firm value. An event study is conducted using a market model of CEO successions and daily returns in order to generate predicted returns. Two separate regressions are run using a 3 day and 5 day event window respectively. The results of the regressions are using to compare abnormal returns between industries and market capitalization. While some daily abnormal returns are statistically significant, cross-sectional analysis of CAR are for the most part not significant. Further study is needed in order to come to a stronger conclusion.

Solar power systems are becoming increasingly popular due to the fact that solar power can offer time and money saving solutions for off-grid and grid-connected homes, cabins, and businesses with clean and affordable energy. However, there are still significant opportunities to reduce the cost of solar power systems by optimizing system design. This paper presents a methodology for evaluating the lifecycle labor costs of solar power systems. This methodology can help optimize system designs relative to cost. It can also support solar power system selection decisions based on a holistic lifecycle view. The methodology accomplishes this by first presenting a method to evaluate the modularity of competing systems, or design variants. It then describes a method of gathering data and modeling the systems so that it can be communicated to relevant stakeholders. Finally, it uses discrete event simulation to generate an estimate of relative lifecycle labor cost performance. Verification and validation of the methods described are presented through a case study of the MegaModule residential solar power system, designed by the team at GTRI. The paper concludes with a review of limitations and proposed future work.

Dynamic logic circuits are highly suitable for high-speed applications, considering the fact that they have a smaller area and faster transition. However, their application in space or other radiation-rich environments has been significantly inhibited by their susceptibility to radiation effects. This work begins with the basic operations of dynamic logic circuits, elaborates upon the physics underlying their radiation vulnerability, and evaluates three techniques that harden dynamic logic from the layout: drain extension, pulse quenching, and a proposed method. The drain extension method adds an extra drain to the sensitive node in order to improve charge sharing, the pulse quenching scheme utilizes charge sharing by duplicating a component that offsets the transient pulse, and the proposed technique takes advantage of both. Domino buffers designed using these three techniques, along with a conventional design as reference, were modeled and simulated using a 3D TCAD tool. Simulation results confirm a significant reduction of soft error rate in the proposed technique and suggest a greater reduction with angled incidence. A 130 nm chip containing designed buffer and register chains was fabricated and tested with heavy ion irradiation. According to the experiment results, the proposed design achieved 30% soft error rate reduction, with 19%, 20%, and 10% overhead in speed, power, and area, respectively.

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This dissertation consists of a review of the N2 component of the ERP and five experiments investigating the role of complex visual object categorization in modulating the N2 and two other ERP components: the P300, and a late prefrontal positivity. In the review, we focus on paradigms that elicit N2 components with an anterior scalp distribution, namely cognitive control, novelty, and sequential matching, arguing that the anterior N2 should be divided into separate control- and mismatch-related subcomponents. The experiments manipulated categorical typicality and the presence of conflicting information as participants categorized multi-featured artificial animals. In Experiments 1 and 2, rule-irrelevant features were correlated with particular categories during training. During transfer, participants applied a one- dimensional rule to stimuli with category-congruent, category-incongruent, or novel rule-irrelevant features. Category-incongruent and novel features delayed RT and P300 latency, but had no effect on the N2. Experiment 3 used a two-dimensional rule to create conflict between rule-relevant features. Conflict resulted in prolonged RTs, P300 latency, and larger amplitudes of a prefrontal positive component, but had no impact on the N2. Novel features did enhance the N2 relative to frequent features. In Experiments 4 and 5, participants categorized stimuli using a more complex three dimensional rule. Conflicting stimuli shared two features with one prototype and one feature with a second prototype while prototypes contained no conflicting information. A third category contained stimuli with either common or novel features. Again, perceptual novelty, but not conflict, increased the amplitude of the N2. Compared to prototypes, stimuli with conflicting information slowed reaction times but had no effect on P300 latency, instead enhancing a late prefrontal positive component. These results suggest limitations on the generality of the N2's sensitivity to conflicting information, while confirming its sensitivity to attended visual novelty. We suggest that, while P300 latency tracks stimulus evaluation time, application of a complex categorization rule requires a later stage of evaluation involving prefrontal cortex. In very complex rules, computations indexed by the P3 may be terminated early in favor of computations in PFC.

In this thesis we study two problems in hierarchical supervisory control of discrete-event systems. The first problem is controller reduction, which is to find smaller abstractions of hierarchical controllers for easier understanding. The second problem is controller design, which is to find smaller abstractions of systems for high-level controller design. We employ natural projections to generate abstractions, thus incorporate the two problems into one optimization problem in which we try to minimize the size of the observable event set of the abstractions, subject to the constraints that the abstractions still achieve maximally permissive and nonblocking control. An optimal solution is proposed for the controller reduction problem, and a suboptimal solution is proposed for the controller design problem.

In this thesis we study two problems in hierarchical supervisory control of discrete-event systems. The first problem is controller reduction, which is to find smaller abstractions of hierarchical controllers for easier understanding. The second problem is controller design, which is to find smaller abstractions of systems for high-level controller design. We employ natural projections to generate abstractions, thus incorporate the two problems into one optimization problem in which we try to minimize the size of the observable event set of the abstractions, subject to the constraints that the abstractions still achieve maximally permissive and nonblocking control. An optimal solution is proposed for the controller reduction problem, and a suboptimal solution is proposed for the controller design problem.

Assembly lines are no longer systems designed to produce as much as possible at the lower cost. Nowadays several factors such as mass customization and variation in demand have led the manufacturers to consider the flexibility of the assembly systems as one of the most important facts to take into account when designing an assembly line. In this context, this study attempts to test a new paradigm of the workload balance, which is based on a dynamic allocation of the assembly operations. In order to test the hypothesis, a real assembly system of engines has been used as a base model to implement the new approach. The work developed, uses the simulation as a means to carry out the study, which has required the development of several simulation scenarios. The hypothesis has been studied from two different approaches; on one hand a total dynamic allocation of assembly operations, which was expected to cause a wide operational range of the stations. On the other hand, the second approach implements a flow control which aims to reduce the operational range and workload fluctuations. The results obtained show a significant improvement of the system performance in comparison with the current assembly line. It has been found that any improvement implemented in the system is directly reflected in the total performance of the line, regardless if the improvement is made in a system constraint. Moreover, the results have proven a better response of the system to changes in the frequency of models production.  Finally, based on the results, this study suggests several paths of future work in order to acquire the needed information to implement the hypothesis in the real world context. / Flexa project