Management

In the past 25 years, Palm Beach County has acquired more than 31 million acres of public preserves consisting of numerous native habitats that are home to threatened and endangered flora and fauna. Both endemic habitats and plant species benefit from expansion and connectivity through the adoption of native plants in surrounding areas. The next step in conserving these protected, larger areas is to identify ways to connect them in order to reduce their isolation and improve their likelihood of continued ecosystem health. This study aims to perform an analysis using a GIS database of Palm Beach County's Eastern urban areas to determine additional vegetation that currently exists on public lands and private preserves and to analyze and classify the vegetation for its potential conservation role, either as ; preserves, buffers, corridors or clusters connecting and enhancing existing natural areas.

This study focused on the fracture and fatigue crack growth behavior in polyvinylchloride (PVC) and polyethersulfone (PES) foams. A new sandwich double cantilever beam (DCB) test specimen was implemented. Elastic foundation and finite element analysis and experimental testing confirmed that the DCB specimen is appropriate for static and cyclic crack propagation testing of soft polymer foams. A comprehensive experimental mechanical analysis was conducted on PVC foams of densities ranging from 45 to 100 kg/m3 and PES foams of densities ranging from 60 to 130 kg/m3. An in-situ scanning electron microscope study on miniature foam fracture specimens showed that crack propagation in the PVC foam was inter-cellular and in the PES foam, failure occurred predominately by extensional failure of vertical cell edges. Sandwich DCB specimens were loaded cyclically as well. For the PVC foams, the crack growth rates were substantially influenced by the density. For the PES foams, there was no clear indication about the influence of foam density on the crack growth rate.

The purpose of this paper is to focus on viral advertising and study the conditions under which ads become viral, how they are intentionally transmitted by consumers to their social network and their relationship with classical advertising variables, such as attitude toward the ad, attitude toward the brand and purchase intention of the consumer. We first analyze studies focusing on different aspects of the viral communication, "electronic word-of-mouth", "word-of-mouse", "viral marketing" and "buzz" in order to clarify the concept of viral advertising. After clarifying the viral advertising concept, the project analyzes the viral process and its main antecedents and influencers, by taking into consideration emotional and ad appeals theories. The results show that ad appeals influence attitude toward the ad and viral intentions, with humor being the most significant appeal in the context of viral advertising. The study also focuses on the social aspects of advertising and consumption , including influential differences related to the source of the message, social influencers analyzed in the socialization literature, such as family and peers, the tie strength element from the social network theory and consumer market maven traits. The findings show the significance of family communication and market maven characteristics in relation to consumers' viral intentions. We then integrate our key variable, viral intentions, in a classical advertising framework based on attitudes theory and their influence on behavioral intentions. The results confirm previously studied relationships between attitude toward the ad, attitude toward the brand and purchase intentions.

Highway Capacity Manual (HCM) 2010 methodology for freeway operations contain procedures for calculating traffic performance measures both for undersaturated and oversaturated flow conditions. However, one of the limitations regarding oversaturated freeway weaving segments is that the HCM procedures have not been extensively calibrated based on field observations on U.S. freeways. This study validates the HCM2010 methodology for oversaturated freeway weaving segment by comparing space mean speed and density obtained from HCM procedure to those generated by a microsimulation model. A VISSIM model is extensively calibrated and validated based on NGSIM field data for the US 101 Highway. Abundance of the NGSIM data is utilized to calibrate and validate the VISSIM model. Results show that HCM methodology has significant limitations and while in some cases it can reproduce density correctly, the study finds that speeds estimated by the HCM methodology significantly differ from those observed in the field.

With congestion, environmental Impact, and the price of oil becoming topics that influence businesses and individuals in a daily basis, measures need to be undertaken in order to accommodate the growing demand for freight transportation. By directing many of the trucks travelling along the National Highways Systems to the Marine Highway corridors developed by the U.S. Maritime Administrations, many of the problems can be addressed in the Short and Medium terms. In order to do so, Short Sea Shipping, through the use of Ro/Ro (Roll-on/Roll-off) Vessels, needs to be implemented. Although the environmental and congestion reducing benefits are considerable, the profitability of this transportation mode needs to be considered. A cost benefit analysis can determine the margin of profit, and attract investors and businesses. By developing a mathematical model that accounts the costs associated with transporting trucks along a particular corridor, the competitiveness of Short Sea Shipping can be determined.

The Sarbanes-Oxley Act made audit committees directly responsible for the appointment, compensation, and supervision of companies' auditors. Limited research in the auditor selection process and PCAOB inspections suggest that managers, not audit committees, may still be selecting the auditors, and that inspection reports are not useful. This study addresses both of these areas. This paper considers two theories of governance, Agency Theory and Institution Theory, to analyze the audit committee members' auditor selection process. The study examines whether Audit Committee Members use two specific types of audit quality indicators, other than managers' recommendation, in evaluating auditors. In a setting where the manager recommends the auditor, the auditors' inspection results (favorable/unfavorable) and a prior manager/auditor affiliation (absent/present) are manipulated in a between-subject research design, using financially literate professionals as a proxy for audit committee members. The study finds that audit quality perception and auditor selection are jointly determined. Inspection results are positively associated with audit quality perception and auditor selection. The nature of a manager-auditor affiliation is directly associated with audit quality perception and inversely related to auditor selection. Further, controlling for perception, audit committee members are more likely to recommend auditors with unfavorable inspection results, if a prior affiliation with management is present than if an affiliation is absent. Overall, the results indicate that audit committee members are diligent in evaluating auditors, and PCAOB inspection results are useful. The results of this study contribute to the audit committee effectiveness and PCAOB literature.

In recent years, there has been an exponential increase in container volume shipment within intermodal transportation systems. Container terminals as part of the global port system represent important hubs within this intermodal transportation system. Thus, the need to improve the operational efficiency is the most important issue for container terminals from an economic standpoint. Moreover, intermodal transportation systems, ports and inland transport facilities should all be integrated into one coordinated plan. More specifically, a method to schedule different types of handling equipment in an integrated way within a container terminal is a popular topic for researchers. However, not many researchers have addresses this topic in relationship to the simulation aspect which will test feasible solutions under real container terminal environment parameters. In order to increase the efficiency of operations, the development of mathematical models and algorithms is critical in finding the best feasible solution. The objective of this study is to evaluate the feasible solution to find the proper number of Yard Trailers (YTs) with the minimal cost for the container terminals. This study uses the Dynamic YTs operation's method as a background for modeling. A mathematical model with various constraints related to the integrated operations among the different types of handling equipment is formulated. This model takes into consideration both serving time of quay cranes and yard cranes, and cost reduction strategies by decreasing use of YTs with the specific objective of minimum total cost including utilization of YTs and vessel berthing. In addition, a heuristic algorithm combined with Monte Carlo Method and Brute-Force Search are employed. The early Stage Technique of Monte Carlo method is proposed to generate vast random numbers to replicate simulation for real cases.

We generalize the theory of stochastic impulse control of jump diffusions introduced by Oksendal and Sulem (2004) with milder assumptions. In particular, we assume that the original process is affected by the interventions. We also generalize the optimal central bank intervention problem including market reaction introduced by Moreno (2007), allowing the exchange rate dynamic to follow a jump diffusion process. We furthermore generalize the approximation theory of stochastic impulse control problems by a sequence of iterated optimal stopping problems which is also introduced in Oksendal and Sulem (2004). We develop new results which allow us to reduce a given impulse control problem to a sequence of iterated optimal stopping problems even though the original process is affected by interventions.

The western and northern parts of South Florida have shallow layers of organic and plastic soils under existing roads. These roads often exhibit large amount of cracking and distortion in a short period of time. Traditional repairs are often not practical due to high costs and extended construction time. In an effort to develop rehabilitation strategies that could be strictly applied to the surface layer, a pilot test site was selected along the alignment of SR 15/US 98 in northwest Palm Beach County, where severe pavement distresses were observed due to the presence of thick organic layers. PaveTrac MT-1, GlasGrid 8501, PetroGrid 4582, and ARMI were used as promising asphalt reinforcing products in 24 experimental pavement sections, including 8 control sections without any reinforcement. A comprehensive field testing and monitoring program involving FWD, rut and ride quality measurements was conducted at the preconstruction, 6-month post-construction, and 18-month post-construction stages. Due to large variability in the sub-surface conditions, a statistics-based data analysis protocol was developed for performance evaluation and relative comparisons of the test sections and, in turn, reinforcing products. Post construction data from both 6 months and 18 months demonstrated that stiffness of reinforced sections were significantly higher than the control sections. Procedures were developed to identify and statistically quantify the benefits derived from the reinforcements only, so that the relative performance of various products could be monitored over time. Based on the field testing data available to date, a framework was developed in this study for the prediction of pavement life, which is essential for conducting a detailed Life Cycle Analysis

In this thesis, a framework for improving model-driven system design productivity with Requirements-Driven Design Automation (RDDA) is presented. The key to the proposed approach is to close the semantic gap between requirements, components and architecture by using compatible semantic models for describing product requirements and component capabilities, including constraints. An ontology-based representation language is designed that spans requirements for the application domain, the software design domain and the component domain. Design automation is supported for architecture development by machine-based mapping of desired product/subsystem features and capabilities to library components and by synthesis and maintenance of Systems Modeling Language (SysML) design structure diagrams. The RDDA framework uses standards-based semantic web technologies and can be integrated with exiting modeling tools. Requirements specification is a major component of the system development cycle. Mistakes and omissions in requirements documents lead to ambiguous or wrong interpretation by engineers, causing errors that trickle down in design and implementation with consequences on the overall development cost. We describe a methodology for requirements specification that aims to alleviate the above issues and that produces models for functional requirements that can be automatically validated for completeness and consistency. The RDDA framework uses an ontology-based language for semantic description of functional product requirements, SysML structure diagrams, component constraints, and Quality of Service. The front-end method for requirements specification is the SysML editor in Rhapsody. A requirements model in Web Ontology Language (OWL) is converted from SysML to Extensible Markup Language Metadata Interchange (XMI) representation.