Engineering Commons^™

Touch2query Enabled Mobile Devices: A Case Study Using Openstreetmap And Iphone, Junjun Yin, James Carswell

Conference papers

This paper describes our mobile spatial interaction (MSI) prototype Touch2Query which presents the idea of using the touch screen on mobile devices to assist in performing ad-hoc spatial queries. This approach differs from conventional mobile LBS applications where the query shape (search space) is limited to either a bounding box or radius. Instead, we provide functionality that allows users to interactively draw any desired query shape overlaid on an area of interest directly on a mobile device with their finger by combining vector primitives such as circles, polygons, polylines, and points. With the help of location and orientation aware mobile …

Design Of Online Student Fee Committee Proposal Information System, Kenneth Cairns, Gregory (Greg) Jacobson

Industrial and Manufacturing Engineering

The purpose of this project is to overhaul the IME department’s Student Fee Committee (SFC) proposal system. A web enabled database was designed in order to improve this system. A significant amount of time was spent researching different programming languages, paradigms, and frameworks in order to determine the most logical approach to the system redesign. After a few false leads, it was determined that the most appropriate solution to the problem was to design a C# based web form application using asp.NET technology, developed in Microsoft Visual Studio. A mockup was created in Access in an attempt to determine if …

Discrete Event Simulation Manual: Manufacturing Applications, Brian T. Hughes

Industrial and Manufacturing Engineering

Simulation, specifically discrete event simulation, is a useful tool for industrial and manufacturing engineers when dealing with system analysis. Currently, manufacturing engineers are only exposed to simulation for only a few weeks of their curriculum at Cal Poly. A series of labs are directed by a teacher’s assistant on how to complete a successful simulation experiment. However, there is no text available for student use during this demanding learning period. The simulation learning process involves learning a software program called ProModel, which students with little experience are expected to code, run, and interpret data from complex systems. By creating a …

Optimization Of Screw Cap Process For E & J Gallo Winery, Robert Trent Latimer

Industrial and Manufacturing Engineering

This project takes a microscopic look at all raw material, machinery, and practices that effect the screw cap process of wine products in order to highlight and eliminate the causes of defects. The approach for this project involves the analysis of process capability for raw material to achieve its required dimensions. This project also displays methods of attaining appropriate machinery settings, and provides a basis for operating standards. Many quality engineering applications are used throughout this study, revealing the decision process for analyzing said applications.

The studies in this project found uncontrolled dimensions in the suppliers’ caps and bottles and …

Using Equal‐Area Quadratic Splines To Compute Depth‐ Weighted Averages Of Soil Chemical Parameters, Chris E. Johnson, Jeremy Tamargo

Civil and Environmental Engineering - All Scholarship

No abstract provided.

Ceas E-News 03.01.2011, College Of Engineering And Applied Sciences

College of Engineering and Applied Sciences News

E-Week Highlights, Earthquake Engineering Simulation, & Russian Scientists

Development Of Probability Based Intensity- Duration-Frequency Curves Under Climate Change, Tarana A. Solaiman, Slobodan P. Simonovic

Water Resources Research Report

Hydrologic design of storm sewers, culverts, retention/detention basins and other components of storm water management systems are typically performed based on specified design storms derived from the rainfall intensity-duration-frequency (IDF) estimates and an assumed temporal distribution of rainfall. Use of inappropriate data or design storms could lead to malfunctions of the infrastructure systems: over-estimation may result in costly over-design or under-estimation may be associated with risk and human safety. One of the expected hydroclimatic impacts of climate change for London is the increase in the magnitude and frequency of extreme rainfalls which can have serious impact on the design, operation …

Quantifying Performance In Fading Channels Using The Sampling Property Of A Delta Function, Won Mee Jang

Department of Electrical and Computer Engineering: Faculty Publications (to 2015)

We apply the sampling property of a delta function to obtain the probability of error in fading channels. Our approach reduces the integration to a sampling. The sampling point is obtained in terms of fading parameters and the average signal-to-noise ratio (SNR) to provide the closed form solution of the performance.

Support Vector Machine-Based Short-Term Wind Power Forecasting, Jianwu Zeng, Wei Qiao

Department of Electrical and Computer Engineering: Faculty Publications

This paper proposes a support vector machine (SVM)-based statistical model for wind power forecasting (WPF). Instead of predicting wind power directly, the proposed model first predicts the wind speed, which is then used to predict the wind power by using the power-wind speed characteristics of the wind turbine generators. Simulation studies are carried out to validate the proposed model for very short-term and short-term WPF by using the data obtained from the National Renewable Energy Laboratory (NREL). Results show that the proposed model is accurate for very short-term and short-term WPF and outperforms the persistence model as well as the …

Modified Fourier-Motzkin Elimination Algorithm For Reducing Systems Of Linear Inequalities With Unconstrained Parameters, Mario Bencomo, Luis Gutierrez, Martine Ceberio

Departmental Technical Reports (CS)

The need for eliminating redundancies in systems of linear inequalities arises in many applications. In linear programming (LP), one seeks a solution that optimizes a given linear objective function subject to a set of linear constraints, sometimes posed as linear inequalities. Linear inequalities also arise in the context of tensor decomposition. Due to the lack of uniqueness in higher-order tensor decomposition, non-negativity constraints are imposed on the decomposition factors, yielding systems of linear inequalities. Eliminating redundancies in such systems can reduce the number of computations, and hence improve computation times in applications.

Towards Faster Estimation Of Statistics And Odes Under Interval, P-Box, And Fuzzy Uncertainty: From Interval Computations To Rough Set-Related Computations, Vladik Kreinovich

Departmental Technical Reports (CS)

Interval computations estimate the uncertainty of the result of data processing in situations in which we only know the upper bounds $\Delta$ on the measurement errors. In interval computations, at each intermediate stage of the computation, we have intervals of possible values of the corresponding quantities. As a result, we often have bounds with excess width. One way to remedy this problem is to extend interval technique to rough-set computations, where on each stage, in addition to intervals of possible values of the quantities, we also keep rough sets representing possible values of pairs (triples, etc.).

How To Combine Probabilistic And Possibilistic (Expert) Knowledge: Uniqueness Of Reconstruction In Yager's (Product) Approach, Nitaya Buntao, Vladik Kreinovich

Departmental Technical Reports (CS)

Often, about the same real-life system, we have both measurement-related probabilistic information expressed by a probability measure P(S) and expert-related possibilistic information expressed by a possibility measure M(S). To get the most adequate idea about the system, we must combine these two pieces of information. For this combination, R. Yager -- borrowing an idea from fuzzy logic -- proposed to use the simple product t-norm, i.e., to consider a set function f(S) = P(S) * M(S). A natural question is: can we uniquely reconstruct the two parts of knowledge from this function f(S)? In this paper, we prove that while …

Estimating Risk Of Extreme And Catastrophic Events Under Interval Uncertainty, Nitaya Buntao, Vladik Kreinovich

Departmental Technical Reports (CS)

In many application areas, we encounter heavy-taildistributions -- for example, such distributions are ubiquitousin financial applications. These distributions are oftendescribed by Pareto law. There exist techniques for estimatingthe parameters of such the corresponding Pareto distributionsbased on the sample x₁, ..., x_n. In practice, we oftenonly know the values x_i with interval uncertainty. In thispaper, we show how to estimate the parameters of the Paretodistribution under such uncertainty and how to describe deviationand dependence for general heavy-tailed distributions.

Scalable Correct Memory Ordering Via Relativistic Programming, Josh Triplett, Philip William Howard, Paul E. Mckenney, Jonathan Walpole

Computer Science Faculty Publications and Presentations

We propose and document a new concurrent programming model, relativistic programming. This model allows readers to run concurrently with writers, without blocking or using expensive synchronization. Relativistic programming builds on existing synchronization primitives that allow writers to wait for current readers to finish with minimal reader overhead. Our methodology models data structures as graphs, and reader algorithms as traversals of these graphs; from this foundation we show how writers can implement arbitrarily strong ordering guarantees for the visibility of their writes, up to and including total ordering.

Generalized Construction Of Scalable Concurrent Data Structures Via Relativistic Programming, Josh Triplett, Paul E. Mckenney, Philip W. Howard, Jonathan Walpole

Computer Science Faculty Publications and Presentations

We present relativistic programming, a concurrent programming model based on shared addressing, which supports efficient, scalable operation on either uniform shared-memory or distributed shared- memory systems. Relativistic programming provides a strong causal ordering property, allowing a series of read operations to appear as an atomic transaction that occurs entirely between two ordered write operations. This preserves the simple immutable-memory programming model available via mutual exclusion or transactional memory. Furthermore, relativistic programming provides joint-access parallelism, allowing readers to run concurrently with a writer on the same data. We demonstrate a generalized construction technique for concurrent data structures based on relativistic programming, …

Led Spotlight, Eric Toussaint

Electrical Engineering

This report details the development and construction of an LED spotlight useable in a theatrical or architectural setting.  In depth background information, initial design concepts, lighting instrument specifications, assembly, testing, and conclusions from results are highlighted in this document.  Project goals include efforts to support more energy efficient lighting in the arts and general lighting applications and a decrease in overall costs for energy used in all dramatic and architectural lighting applications.

Coherent Electron Transport By Adiabatic Passage In An Imperfect Donor Chain, Rajib Rahman, Richard P. Muller, James E. Levy, Malcolm S. Carroll, Gerhard Klimeck, Andrew D. Greentree, Lloyd C. L. Hollenberg

Birck and NCN Publications

Coherent tunneling adiabatic passage 􏰀CTAP􏰁 has been proposed as a long-range physical quantum bits 􏰀qubit􏰁 transport mechanism in solid-state quantum computing architectures. Although the mechanism can be implemented in either a chain of quantum dots or donors, a one-dimensional chain of donors in Si is of particular interest due to the natural confining potential of donors that can, in principle, help reduce the gate densities in solid-state quantum computing architectures. Using detailed atomistic modeling, we investigate CTAP in a more realistic triple donor system in the presence of inevitable fabrication imperfections. In particular, we investigate how an adiabatic pathway for …

Effects Of Gate-Last And Gate-First Process On Deep Submicron Inversion-Mode Ingaas N-Channel Metal-Oxide-Semiconductor Field Effect Transistors, J. J. Gu, Y. Q. Wu, Peide D. Ye

Birck and NCN Publications

Recently, encouraging progress has been made on surface-channel inversion-mode In-rich InGaAs NMOSFETs with superior drive current, high transconductance and minuscule gate leakage, using atomic layer deposited (ALD) high-k dielectrics. Although gate-last process is favorable for high-k/III-V integration, high-speed logic devices require a self-aligned gate-first process for reducing the parasitic resistance and overlap capacitance. On the other hand, a gate-first process usually requires higher thermal budget and may degrade the III-V device performance. In this paper, we systematically investigate the thermal budget of gate-last and gate-first process for deep-submicron InGaAs MOSFETs. We conclude that the thermal instability of (NH(4))(2)S as the …

Exploration Of The Anaximander Mud Volcanoes, Timothy M. Shank, Santiago Herrera, Walter Cho, Christopher N. Roman, Katherine L. Croff Bell

Graduate School of Oceanography Faculty Publications

No abstract provided.

Landscape Imaging Of The Southeast Aegean Sea, Michael L. Brennan, Tufan Turanli, Bridget Buxton, Katherine L. Croff Bell, Christopher N. Roman, Meko Kofahl, Orkan Koyagasioglu, Daniel Whitesell, Thomas Chamberlain, Richard Sullivan, Robert Ballard

Graduate School of Oceanography Faculty Publications

No abstract provided.

Chemical Response Of Lithiated Graphite With Deuterium Irradiation, C. N. Taylor, B. Heim, Jean Paul Allain

Birck and NCN Publications

Lithium wall conditioning has been found to enhance plasma performance for graphite walled fusion devices such as TFTR, CDX-U, T-11M, TJ-II and NSTX. Among observed plasma enhancements is a reduction in edge density and reduced deuterium recycling. The mechanism by which lithiated graphite retains deuterium is largely unknown. Under controlled laboratory conditions, X-ray photoelectron spectroscopy (XPS) is used to observe the chemical changes that occur on ATJ graphite after lithium deposition. The chemical state of lithiated graphite is found to change upon deuterium irradiation indicating the formation Li-O-D, manifest at 532.9 +/- 0.6 eV. Lithium-deuterium interactions are also manifest in …

In Vitro Validation Of Finite Element Analysis Of Blood Flow In Deformable Models, Ethan Kung, Andrea S. Les, C. Alberto Figueroa, Francisco Medina, Karina Arcaute, Ryan B. Wicker, Michael V. Mcconnell, Charles A. Taylor

Publications

The purpose of this article is to validate numerical simulations of flow and pressure incorporating deformable walls using in vitro flow phantoms under physiological flow and pressure conditions. We constructed two deformable flow phantoms mimicking a normal and a restricted thoracic aorta, and used a Windkessel model at the outlet boundary. We acquired flow and pressure data in the phantom while it operated under physiological conditions. Next, in silico numerical simulations were performed, and velocities, flows, and pressures in the in silico simulations were compared to those measured in the in vitro phantoms. The experimental measurements and simulated results of …

Reactive Routing In Hidra Networks, Scott Michael Marshall

Computer Engineering

In recent years, the Internet has grown so large that the future scalability of the Internet has become a major concern. The two primary scalability concerns are the size of the forwarding table and the ability for BGP to converge while distributing hundreds of thousands of routes.

HIDRA is a new Internet routing architecture that is backwards-compatible with existing routing technologies and protocols that focuses on feasibility-of-implementation. HIDRA remedies the first Internet scalability concern by proposing a means to reduce the number of entries in the default-free zone (DFZ) forwarding table.

This project extends HIDRA by designing a complete reactive …

A Faceted Magnetron Concept Using Field Emission Cathodes, Jim Browning, Jack Watrous

Electrical and Computer Engineering Faculty Publications and Presentations

A magnetron concept using field emission cathodes has been modeled with the Air Force Research Laboratory particle-in-cell code ICEPIC and the 2D particle trajectory simulation Lorentz2E. In this approach, field emitters are used to provide a distributed cathode in place of a traditional thermionic cathode. The emitters are placed below the interaction space in a shielded structure. The cathode is comprised of facet plates with slits to protect the emitters. Simulation of an L-band rising sun magnetron shows that the faceted magnetron will oscillate using both five and ten facet cathodes. The startup times are very similar to that of …

Test Case Series 1, Jean R. Lachaud, Alexandre Martin, Ioana Cozmuta, Bernard Laub

Ablation Workshop: Code Comparison

A simple one-dimensional test case is defined for the purpose of inter-code comparison. This year the focus is set on in-depth physics and chemistry. Material properties, boundary conditions, and output format are provided.

Pipeline Design For Reclaimed Spill Water For West Stanislaus Irrigation District, Daniel Bays

BioResource and Agricultural Engineering

The goal of this project was to design a pipeline that could be installed to replace an existing drain in West Stanislaus Irrigation District.  The pipeline would give the district the ability to divert drain water back into their delivery system or send water down the existing drain.

The design attempted to use pipe and material the district already has and provided construction drawings and installation instructions for the construction of this design in the future.

Economic Analysis Of Reverse Osmosis Desalination Of Water For Agricultural Irrigation Applications, Ashley Hemping

BioResource and Agricultural Engineering

The combination of an ever-increasing population and a diminishing usable water supply threatens the sustainability of humanity’s existence on a global scale, especially in California, where agriculture is so integral to the state’s economy.  Due to widespread recognition of this problem, there has been a growing trend in the development of alternative water resources, one of which involves the desalination of salt or brackish waters.  Several different desalination technologies exist, including microfiltration, multi-stage flash, and multi-effect distillation.

This senior project investigates the economic viability of implementing reverse osmosis desalination for treatment of agricultural wastewater or other unusable water sources.  These …

Verification And Validation Of Cfd Simulations For Local Flow Dynamics In A Draft Tube Airlift Bioreactor, Hu Ping Luo, Muthanna H. Al-Dahhan

Chemical and Biochemical Engineering Faculty Research & Creative Works

Airlift Reactors Have Been Recognized as One of the Promising Photobioreactors for Biomass/bio-Energy Production, Where Mixing Has Significant Impact on the Reactor Performance. in Recent Years, using CFD Simulations to Track Microorganism Cells and to Generate their Trajectories in the Reactor for Reactor Performance Evaluations Becomes More Common. However, there is a Lack of Systematic and Rigorous Verifications and Validations of the Reliability of CFD Models in Particle Tracking Against Experimental Measurements in the Open Literature, Which is Vital for the Faithful Application of CFD in Reactor Design and Scale-Ups. in This Work, We Attempt to Evaluate the Reliability of …

Fuel Cycle Co2-E Targets Of Renewable Hydrogen As A Realistic Transportation Fuel In Australia, Alberto Boretti

Mechanical and Aerospace Engineering Faculty Research & Creative Works

The claim of catastrophic manmade climate change or global warming through anthropogenic CO₂ has presently focused the interest on the tailpipe emissions of CO₂ per km, with recent legislations obsessively targeting these emissions of CO₂ with defectively implemented procedures. with a variety of different propulsion solutions (electric, hybrid electric, hybrid mechanic, conventional) and different fuels (Diesel, Petrol, alternative fossil, alternative renewable) available in the near future, a more comprehensive approach based on the full fuel cycle, and eventually also the full life cycle of the vehicle appear to be necessary. the paper is a contribution to trigger …

Computational Intelligence In Wireless Sensor Networks: A Survey, Raghavendra V. Kulkarni, Anna Förster, Ganesh K. Venayagamoorthy

Electrical and Computer Engineering Faculty Research & Creative Works

Wireless sensor networks (WSNs) are networks of distributed autonomous devices that can sense or monitor physical or environmental conditions cooperatively. WSNs face many challenges, mainly caused by communication failures, storage and computational constraints and limited power supply. Paradigms of computational intelligence (CI) have been successfully used in recent years to address various challenges such as data aggregation and fusion, energy aware routing, task scheduling, security, optimal deployment and localization. CI provides adaptive mechanisms that exhibit intelligent behavior in complex and dynamic environments like WSNs. CI brings about flexibility, autonomous behavior, and robustness against topology changes, communication failures and scenario changes. …