Operations Research, Systems Engineering and Industrial Engineering Commons^™

Safety Performance Prediction Of Large-Truck Drivers In The Transportation Industry, Emily Moneka Francis Xavier

Graduate Theses and Dissertations

The trucking industry and truck drivers play a key role in the United States commercial transportation sector. Accidents involving large trucks is one such big event that can cause huge problems to the driver, company, customer and other road users causing property damage and loss of life. The objective of this research is to concentrate on an individual transportation company and use their historical data to build models based on statistical and machine learning methods to predict accidents. The focus is to build models that has high accuracy and correctly predicts an accident. Logistic regression and penalized logistic regression models …

Grouping Techniques To Manage Large-Scale Multi-Item Multi-Echelon Inventory Systems, Anvar Abaydulla

Graduate Theses and Dissertations

Large retail companies operate large-scale systems which may consist of thousands of stores. These retail stores and their suppliers, such as warehouses and manufacturers, form a large-scale multi-item multi-echelon inventory supply network. Operations of this kind of inventory system require a large number of human resources, computing capacity, etc.

In this research, three kinds of grouping techniques are investigated to make the large-scale inventory system “easier” to manage. The first grouping technique is a network based ABC classification method. A new classification criterion is developed so that the inventory network characteristics are included in the classification process, and this criterion …

Recognition Of Infrastructure Events Using Principal Component Analysis, Lane David Broadbent

Theses and Dissertations

Information Technology systems generate system log messages to allow for the monitoring of the system. In increasingly large and complex systems the volume of log data can overwhelm the analysts tasked with monitoring these systems. A system was developed that utilizes Principal Component Analysis to assist the analyst in the characterization of system health and events. Once trained, the system was able to accurately identify a state of heavy load on a device with a low false positive rate. The system was also able to accurately identify an error condition when trained on a single event. The method employed is …

Time Series Classification Using Covariance Descriptors, Oluwaseun Winsala

Theses and Dissertations

This thesis presents a novel framework for time series classification that leverages the geometric structure of covariance matrices when labeling signals. Our method maps each signal to a new multivariate localized feature signal (MLFS) representation, from which we compute a covariance descriptor. This robust MLFS covarieance representation handles classification tasks where the sampling rates of the signals vary within a class or classes. We demonstrate that by simply using the k-nearest neighbor classification rule and multiclass kernel support vector machine with the Riemannian metric between the MLFS convariance matrices, which produces state-of-the-art results on a number of standard datasets. Moreover, …

Orienteering Problem: A Survey Of Recent Variants, Solution Approaches And Applications, Aldy Gunawan, Hoong Chuin Lau, Pieter Vansteenwegen

Research Collection School Of Computing and Information Systems

Duplicate record, see https://ink.library.smu.edu.sg/sis_research/3271. The Orienteering Problem (OP) has received a lot of attention in the past few decades. The OP is a routing problem in which the goal is to determine a subset of nodes to visit, and in which order, so that the total collected score is maximized and a given time budget is not exceeded. A number of typical variants has been studied, such as the Team OP, the (Team) OP with Time Windows and the Time Dependent OP. Recently, a number of new variants of the OP was introduced, such as the Stochastic OP, the …

Orienteering Problem: A Survey Of Recent Variants, Solution Approaches And Applications, Aldy Gunawan, Hoong Chuin Lau, Pieter Vansteenwegen

Research Collection School Of Computing and Information Systems

The Orienteering Problem (OP) has received a lot of attention in the past few decades. The OP is a routing problem in which the goal is to determine a subset of nodes to visit, and in which order, so that the total collected score is maximized and a given time budget is not exceeded. A number of typical variants has been studied, such as the Team OP, the (Team) OP with Time Windows and the Time Dependent OP. Recently, a number of new variants of the OP was introduced, such as the Stochastic OP, the Generalized OP, the Arc OP, …

Managing Egress Of Crowd During Infrastructure Disruption, Teck Hou Teng, Shih-Fen Cheng, Trong-Nghia Truong, Hoong Chuin Lau

Research Collection School Of Computing and Information Systems

In a large indoor environment such as a sports arena or convention center, smooth egress of crowd after an event can be seriously affected if infrastructure such as elevators and escalators break down. In this paper, we propose a novel crowd simulator known as SIM-DISRUPT for simulating egress scenarios in non-emergency situations. To surface the impact of disrupted infrastructure on the egress of crowd, SIM-DISRUPT includes features that allow users to specify selective disruptions as well as strategies for controlling the distribution and egress choices of crowd. Using SIM-DISRUPT, we investigate effects of crowd distribution, egress choices and infrastructure disruptions …

Traffic Simulation Model For Port Planning And Congestion Prevention, Baoxiang Li, Kar Way Tan, Trong Khiem Tran

Research Collection School Of Computing and Information Systems

Effective management of land-side transportation provides the competitive advantage to port terminal operators in improving services and efficient use of limited space in an urban port. We present a hybrid simulation model that combines traffic-flow modeling and discrete-event simulation for land-side port planning and evaluation of traffic conditions for a number of what-if scenarios. We design our model based on a real-world case of a bulk cargo port. The problem is interesting due to complexity of heterogeneous closed-looped internal vehicles and external vehicles traveling in spaces with very limited traffic regulation (no traffic lights, no traffic wardens) and the traffic …

Underwater Scene Search Scheme Via Similarity Measure And Sparse Representation For Autonomous Underwater Vehicle, Zhiyuan Wang, Yue Geng, Congcong Shi, Rui Nian, Bo He, Tianhong Yan, Amaury Lendasse

Engineering Management and Systems Engineering Faculty Research & Creative Works

Underwater Scene Search Turns Out to Be One of the Most Challenging Topics in the Underwater Image Analysis. in This Paper, We Present One Underwater Scene Search Scheme Combined with Similarity Measure and Sparse Representation. the Color Histogram is First Adopted to Classify the Candidate Image Patches for Each Kind of the Underwater Scene. at the Same Time, the Feature Similarity (FSIM) Considers a Full Reference of the Complementary Terms, I.e., the Phase Congruency (Pc) and the Image Gradient Magnitude (Gm), to Reflect and Generate the Similarity Map between the Query Image Patch and the Reference One. Sparse Representation is …

Underwater Image Enhancement Strategy With Virtual Retina Model And Image Quality Assessment, Yaomin Wang, Ruijie Chang, Ruinian, Bo He, Xunfei Liu, Jen Hwa Guo, Amaury Lendasse

Engineering Management and Systems Engineering Faculty Research & Creative Works

Underwater Image Enhancement is One of the Most Essential and Fundamental Tasks in Ocean Investigations Recent Years. in This Paper, We Made an Attempt to Develop One Adaptive Underwater Image Enhancement Approach with the Help of the Virtual Retina Model and the Image Quality Assessment (IQA). the Virtual Retina Model, Which Yields Comparatively High Correlation with the Human Vision System, is First Taken to Achieve Simultaneous Ambiguity Removing and Detail Enhancing of Single Image Due to the Specific Mechanisms of Different Retinal Sub-Layers. after This, an Adaptive Image Enhancement Strategy is Taken with One Kind of No-Reference Image Quality Assessment …

Underwater Non-Rigid 3d Shape Reconstruction Via Structure From Motion For Fish Ethology Research, Renzheng Che, Xiao Xu, Rui Nian, Bo He, Meimei Chen, Cheng Zhang, Amaury Lendasse

Engineering Management and Systems Engineering Faculty Research & Creative Works

In This Paper, We Try to Develop a General Framework of 3d Shape Reconstruction Strategy with Extremely Rare Point Cloud Extracted for Fish Ethology Research. Particle Filter is First Taken to Focus on Fish Trajectory Tracking from Monocular Video Sequence. the Speeded Up Robust Features (Surf) Technique Will Be Adopted to Match the Same Tracking Fish Across the overlapping View Fields with More Stable and Accurate Features. Non-Rigid 3d Shape Reconstruction Will Be Finally Developed with the Help of Expectation Maximization (Em) Model and Linear Dynamical System (LDS). It is Shown from Our Simulation Experiment that the Developed Scheme of …

Space Analysis And Research Centers (Sparcs) For Ssa Data And Analytics, Phillip Cunio, Brien Flewelling

Space Traffic Management Conference

Widespread use of massive data and increasing reliance on spaceborne infrastructure are two of the emerging megatrends of the early 21^st century. However, both come with liabilities: movement and processing of large data volumes is very expensive, and reliance on spaceborne infrastructure adds risk that problems in the still incompletely-understood space domain might cause work disruptions.

ExoAnalytic proposes the use of Space Analysis and Research Centers (SpARCs) as a way to begin addressing both these issues. A SpARC is a facility which integrates volumes of data collected on satellites, centrally analyzes it, and makes available resulting useful information. The …

Examining Time To Evacuate Dynamically Activated Aircraft Hazard Areas, Zheng Tao, Granghuai Wang, Ashley G. Williams, Jon L. Semanek, Jonathan L. Schwartz

Space Traffic Management Conference

The growth in launch and reentry operations in the National Airspace System (NAS) presents the Federal Aviation Administration (FAA) with the challenge of integrating them more efficiently while also minimizing effects on other NAS users and maintaining safety. Currently, to maintain safety and account for unforeseen events such as vehicle breakup, the FAA segregates large amounts of airspace, called Aircraft Hazard Areas (AHAs), from traditional NAS users during launch and reentry operations. In order to minimize effects on NAS users, some AHAs during reentry are dynamically activated only if an unexpected event occurs. If a dynamic AHA is activated, then …

Projecting Air Traffic Impact Of Blocked Airspaces, Amal Srivastava, Neil Gahart

Space Traffic Management Conference

FAA frequently blocks strategically located airspaces to ensure operational safety in the vicinity of hazardous operations such as space launches and military exercises. As demand for access to airspace continues to rise, the need for, and the impact of blocked airspaces is likely to grow. Users such as space operators have no advanced insights into potential NAS impact of airspaces blocked due to their operations, nor do they possess ways to minimize it. This paper presents a model that would give users this insight. The model estimates levels of air traffic likely to intersect arbitrary airspace volumes on a daily …

Optimal Demand Response Models With Energy Storage Systems In Smart Grids, Mohemmed Masooud Alhaider

USF Tampa Graduate Theses and Dissertations

This research aims to develop solutions to relieve system stress conditions in electric grids. The approach adopted in this research is based on a new concept in the Smart Grid, namely, demand response optimization. A number of demand response programs with energy storage systems are designed to enable a community to achieve optimal demand side energy management.

The proposed models aim to improve the utilization of the demand side energy through load management programs including peak shaving, load shifting, and valley lling. First, a model is proposed to nd the optimal capacity of the battery energy storage system (BESS) to …

Using Timing-Based Side Channels For Anomaly Detection In Industrial Control Systems, Stephen Dunlap, Jonathan W. Butts, Juan L. Lopez Jr., Mason J. Rice, Barry E. Mullins

Faculty Publications

The critical infrastructure, which includes the electric power grid, railroads and water treatment facilities, is dependent on the proper operation of industrial control systems. However, malware such as Stuxnet has demonstrated the ability to alter industrial control system parameters to create physical effects. Of particular concern is malware that targets embedded devices that monitor and control system functionality, while masking the actions from plant operators and security analysts. Indeed, system security relies on guarantees that the assurance of these devices can be maintained throughout their lifetimes. This paper presents a novel approach that uses timing-based side channel analysis to establish …

Wells Fargo, Samsung And Spacex: The Dos And Don’Ts Of Today’S Quality Environment, Jim Burgin

Operations Management Presentations

Quality is everywhere, and is so critical to your success. This webinar will use Toyota’s 14 Principles as the springboard to discuss teach points from my Quality Management class. The title mentions a few companies where good practices or challenging activities provide a road map to success or failure. Rest assured there are many more. Burgin uses stories and experiences from class to illustrate quality concepts.

The Effects Of The Stratosphere On Materials, Ashley C. Greene, Theresa M. Palandro

Posters-at-the-Capitol

Abstract 1:

Making AND Breaking: How reliable are some water pipes?

Ashley C. Greene.

Three different types of pipes were tested to see at what point in time they would break. The pipes, PVC pipe, PEX pipe, and CPVC pipe, were filled with water and attached to a helium filled weather balloon. The ends of the pipes were sealed to trap the water inside. The pipes were secured onto a payload in a Styrofoam box surrounded by cheese cloth. This frame secured the pipes and ensured that they stayed in one place and could not move around the container. The …

Designing Fixed-Base Operations Utilizing Systems Engineering Principles, Ross L. Stephenson Jr., David A. Carroll

Journal of Aviation Technology and Engineering

There are currently over 3,200 fixed-base operations (FBOs) conducting business in the United States attempting to meet the demands of FAA Part 91, Part 135, and a limited number of Part 121 operations. With the US economy slowly climbing out of the trough during 2013, the utilization of fixed-base operations has become more attractive and economical to the corporate business and the affluent recreational traveler. Despite the increased flight activities utilizing the services of fixed-base operators, keen competition, rising fuel cost, and the economies of scale recognized by large FBO franchises significantly erode the profitability and sustainability of smaller FBOs. …

Engineering Cyber Physical Systems: Applying Theory To Practice Preface, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

No abstract provided.