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Search Results: 1 - 10 of 329951 matches for " Daniel J. Fonseca "
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Design of an Evacuation Demand Forecasting Module for Hurricane Planning Applications  [PDF]
Gary P. Moynihan, Daniel J. Fonseca
Journal of Transportation Technologies (JTTs) , 2016, DOI: 10.4236/jtts.2016.65024
Abstract: This paper discusses the development and implementation of an evacuation demand forecasting module that was incorporated into a comprehensive decision support system for the planning and management of contraflow operations in the Gulf of Mexico. Contraflow implies the reversing of one direction of a highway in order to permit a substantially increased travel demand exiting away from an area impacted by a natural disaster or any other type of catastrophic event. Correctly estimating the evacuation demand originated from such a catastrophic event is critical to a successful contraflow implementation. One problem faced by transportation officials is the arranging of the different stages of this complex traffic procedure. Both the prompt deployment of resources and personnel as well as the duration of the actual contraflow affect the overall effectiveness, safety and cost of the evacuation event. During this project, researchers from the University of Alabama developed an integral decision support system for contraflow evacuation planning to assist the Alabama Department of Transportation Maintenance Bureau in the evaluation and planning of contraflow operations oriented to mitigate the evacuation burdens of a hurricane event. This paper focuses on the design of the demand forecasting module of such a decision support system.
On MEMS Reliability and Failure Mechanisms
Daniel J. Fonseca,Miguel Sequera
International Journal of Quality, Statistics, and Reliability , 2011, DOI: 10.1155/2011/820243
Abstract: Microelectromechanical systems (MEMS) are a fast-growing field in microelectronics. MEMS are commonly used as actuators and sensors with a wide variety of applications in health care, automotives, and the military. The MEMS production cycle can be classified as three basic steps: (1) design process, (2) manufacturing process, and (3) operating cycle. Several studies have been conducted for steps (1) and (2); however, information regarding operational failure modes in MEMS is lacking. This paper discusses reliability in the context of MEMS functionality. It also presents a brief review of the most relevant failure mechanisms for MEMS.
Facility Layout Design and Simulation for Lean Gains
Daniel J. Fonseca,Ashley Thomason
International Business Management , 2012,
Abstract: This study deals with the development of an alternative loading and shipping layout for a major chlorine and soda caustic producer in the U.S. Two simulation models, one of the current system and the other of the proposed layout were then constructed to estimate the potential manufacturing gains from the new layout. Finally, a statistical analysis of the simulation outputs justified the implementation of the proposed layout.
On MEMS Reliability and Failure Mechanisms
Daniel J. Fonseca,Miguel Sequera
Journal of Quality and Reliability Engineering , 2011, DOI: 10.1155/2011/820243
Abstract: Microelectromechanical systems (MEMS) are a fast-growing field in microelectronics. MEMS are commonly used as actuators and sensors with a wide variety of applications in health care, automotives, and the military. The MEMS production cycle can be classified as three basic steps: (1) design process, (2) manufacturing process, and (3) operating cycle. Several studies have been conducted for steps (1) and (2); however, information regarding operational failure modes in MEMS is lacking. This paper discusses reliability in the context of MEMS functionality. It also presents a brief review of the most relevant failure mechanisms for MEMS. 1. Introduction Microelectromechanical systems (MEMS) are a relatively new and fast-growing field in microelectronics. MEMS are commonly used as actuators, sensors, and radio frequency and microfluidic components, as well as biocomposites, with a wide variety of applications in health care, automotive, and military industries. It is expected that the market for MEMS will grow to over $30B by 2050 [1]. The MEMS lifecycle can be divided into three basic steps: (1) the design process, (2) the manufacturing process, and (3) the operating cycle. Several research studies have been conducted for the design and manufacturing of MEMS; however, information regarding failure analysis for MEMS can still be considered in its infancy stage [2]. There is a need to develop new tools and methodologies to understand the behavior of MEMS devices for distinct applications and operation conditions. MEMS are extremely diverse and their failure modes can be unique under different conditions [3]. MEMS represent a technology that can be defined as miniaturized mechanical and electromechanical elements (i.e., devices and structures) that are made using the techniques of microfabrication. Dimensions of MEMS devices can vary from well below one micron on the lower end of the dimensional spectrum, all the way to several millimeters [4]. Likewise, the types of MEMS devices can vary from relatively simple structures having no moving elements, to extremely complex electromechanical systems with multiple moving elements under the control of integrated microelectronics. A main criterion of MEMS is that there are at least some elements having some sort of mechanical functionality, whether or not these elements can move [4]. MEMS are manufactured using batch fabrication techniques similar to those used for integrated circuits. Unprecedented levels of functionality, reliability, and sophistication can be placed on a small silicon chip at a relatively low cost
Quality in the Context of the Mexican Family
Daniel J. Fonseca,Daniel Zavala,Claudia Salinas
The Social Sciences , 2013,
Abstract: The term quality, previously associated only to manufacturing and service activities, is now becoming more relevant in the social sciences. In such a context, quality can be seen as a measure for assessing one s living conditions. The objective of this study is to examine to what degree middle-class Mexican families use the quality principles and philosophies -as they are commonly known in productive systems- while functioning as a social entity. Twenty five randomly selected middle-class families from the Northeastern part of Mexico were surveyed by means of a series of questionnaires designed by ten quality experts. From the collected responses, it is clear that within middle-class Mexican families there is a strong awareness of the benefits that can be obtained from the application of the principles encouraged by a culture of quality.
REVENUE ELASTICITY OF THE MAIN FEDERAL TAXES IN MEXICO
Fonseca,Felipe J; Ventosa-Santaularia,Daniel;
Latin american journal of economics , 2011,
Abstract: an inelastic tax system increases the uncertainty associated with tax revenue collection. this results in continuous short-term adjustments to maintain the stability of tax collection. in this paper, we estimate the revenue elasticity of the principal taxes in mexico, finding a much greater elasticity than that found in previous studies. a cointegration model between the revenue and taxes is used which satisfies strong exogeneity, providing a basis for congruent and reliable projections. using this model, the tax revenue projected for 2011 is much lower than the estimates prepared by mexico's federal government.
Genetic Algorithm Approach to Joint Optimization for Product Line and Ordering Quantity
Daniel J. Fonseca,Sidhartha Shishoo,Keith Williams
Research Journal of Applied Sciences , 2012,
Abstract: There is a growing consensus among product managers that determining the optimal length of product line is a crucial decision that affects the overall strategy and finance of a company. Product line composition has clear financial implications that can hamper the profitability of an organization. Equally important is the ordering strategy that would determine the quantity of each product type and the timing of each order for replenishing the stocks of items in the product line. This study describes a genetic algorithm model that simultaneously optimizes the product line composition and the ordering quantity so to maximize total profits.
REVENUE ELASTICITY OF THE MAIN FEDERAL TAXES IN MEXICO
Felipe J Fonseca,Daniel Ventosa-Santaularia
Latin American Journal of Economics , 2011,
Abstract: An inelastic tax system increases the uncertainty associated with tax revenue collection. This results in continuous short-term adjustments to maintain the stability of tax collection. In this paper, we estimate the revenue elasticity of the principal taxes in Mexico, finding a much greater elasticity than that found in previous studies. A cointegration model between the revenue and taxes is used which satisfies strong exogeneity, providing a basis for congruent and reliable projections. Using this model, the tax revenue projected for 2011 is much lower than the estimates prepared by Mexico's federal government.
Assessment of the Abundance of Yellowfin Tuna in the Gulf of Mexico
Daniel J. Fonseca,Daniel Zavala,Eduardo Del Angel Rincon
Journal of Animal and Veterinary Advances , 2012,
Abstract: This paper presents the application of a statistical model for predicting yellowfin tuna fish abundance in the Gulf of Mexico. Data for twelve different independent variables was collected through sensors installed in various space satellites, capable of photographing, and computing factors such as ocean temperatures, sea levels, and concentrations of photosynthetic pigments, among others. In addition, specialized measuring devices were installed on a fishing ship to collect further information on yellowfin tuna feeding behavior, and barometric pressure readings during twenty fishing trips (randomly distributed) across the Mexican waters of the Gulf of Mexico. The results from the study show that barometric pressure is a more significant factor for predicting the distribution of yellowfin tuna than water temperature, a fact not fully addressed by documented research efforts in the field. Moreover, it was concluded that a multiple-degree polynomial model, probably a third-degree model, best represents the relationship between the identified independent variables and the dependent one (i.e., the expected number of yellowfin tuna caught per fishing trip).
A Simulation Tool for Hurricane Evacuation Planning
Daniel J. Fonseca,Gary P. Moynihan,Jordan Johnston,Jordan Jennings
Modelling and Simulation in Engineering , 2009, DOI: 10.1155/2009/729570
Abstract: Atlantic hurricanes and severe tropical storms are a serious threat for the communities in the Gulf of Mexico region. Such storms are violent and destructive. In response to these dangers, coastal evacuation may be ordered. This paper describes the development of a simulation model to analyze the movement of vehicles through I-65, a major US Interstate highway that runs north off the coastal City of Mobile, Alabama, towards the State of Tennessee, during a massive evacuation originated by a disastrous event such a hurricane. The constructed simulation platform consists of a primary and two secondary models. The primary model is based on the entry of vehicles from the 20 on-ramps to I-65. The two secondary models assist the primary model with related traffic events such as car breakdowns and accidents, traffic control measures, interarrival signaling, and unforeseen emergency incidents, among others. Statistical testing was performed on the data generated by the simulation model to indentify variation in relevant traffic variables affecting the timely flow of vehicles travelling north. The performed statistical analysis focused on the closing of alternative on-ramps throughout the Interstate.
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