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Articles 11161 - 11190 of 13846
Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering
Multi-Period Combinatorial Auction Mechanism For Distributed Resource Allocation And Scheduling, Hoong Chuin Lau, Shih-Fen Cheng, Thin Yin Leong, Jong Han Park, Zhengyi Zhao
Multi-Period Combinatorial Auction Mechanism For Distributed Resource Allocation And Scheduling, Hoong Chuin Lau, Shih-Fen Cheng, Thin Yin Leong, Jong Han Park, Zhengyi Zhao
Research Collection School Of Computing and Information Systems
We consider the problem of resource allocation and scheduling where information and decisions are decentralized, and our goal is to propose a market mechanism that allows resources from a central resource pool to be allocated to distributed decision makers (agents) that seek to optimize their respective scheduling goals. We propose a generic combinatorial auction mechanism that allows agents to competitively bid for the resources needed in a multi-period setting, regardless of the respective scheduling problem faced by the agent, and show how agents can design optimal bidding strategies to respond to price adjustment strategies from the auctioneer. We apply our …
Predictive Congestion Control Protocol For Wireless Sensor Networks, Maciej Jan Zawodniok, Jagannathan Sarangapani
Predictive Congestion Control Protocol For Wireless Sensor Networks, Maciej Jan Zawodniok, Jagannathan Sarangapani
Electrical and Computer Engineering Faculty Research & Creative Works
Available congestion control schemes, for example transport control protocol (TCP), when applied to wireless networks, result in a large number of packet drops, unfair scenarios and low throughputs with a significant amount of wasted energy due to retransmissions. To fully utilize the hop by hop feedback information, this paper presents a novel, decentralized, predictive congestion control (DPCC) for wireless sensor networks (WSN). The DPCC consists of an adaptive flow and adaptive back-off interval selection schemes that work in concert with energy efficient, distributed power control (DPC). The DPCC detects the onset of congestion using queue utilization and the embedded channel …
Effects Of Electromagnetic Interference On Control Area Network Performance, Fei Ren, Y. Rosa Zheng, Maciej Jan Zawodniok, Jagannathan Sarangapani
Effects Of Electromagnetic Interference On Control Area Network Performance, Fei Ren, Y. Rosa Zheng, Maciej Jan Zawodniok, Jagannathan Sarangapani
Electrical and Computer Engineering Faculty Research & Creative Works
In this paper, the effects of electromagnetic interference (EMI) on control area network (CAN) communications are investigated by hardware experiments. Distinct CAN bit rates, communication cables, and networks are used to test effects of EMI on CAN bus. Waveforms of CAN data frames in EMI environment are observed and analyzed for figuring out details of effects. Experiments show that the EMI pulses frequently encountered in automobile and off-road machinery can cause the reduction of bit rates and errors in high-speed CAN communications. Replacing traditional unshielded parallel communication cables with shielded communication cables is proved to be an effective method of …
Global Positioning System Systems Engineering Case Study, Air Force Center For Systems Engineering, Patrick J. O'Brien, John M. Griffin
Global Positioning System Systems Engineering Case Study, Air Force Center For Systems Engineering, Patrick J. O'Brien, John M. Griffin
AFIT Documents
No abstract provided.
Acuta Enews October 2007, Vol.36, No. 10
Acuta Enews October 2007, Vol.36, No. 10
ACUTA Newsletters
ln This lssue
From the President .............. Watt Magnussen, Ph.D., Texas A&M University
Tech Talk: Makin' Bacn: Another Way to Clog lnboxes............... Kevin Tanzillo, Dux PR
DC Update............... Jeanne Jansenius, Sewanee, The University of the South
Board Report ................. Riny Ledgerwood, San Diego State Univ., ACUTA Sec./Treasurer
New Faces at ACUTA
Web Tip: Listserv Reminders ................. Aaron Fuehrer, ACUTA Information Technology Mgr.
Member Sites to See
lnfo Links Randy Hayes, Univ. of Northern lowa
lnvite Your Vendors to Join ACUTA............. Amy Burton, ACUTA Mgr., Membership Mktg.& Corp. Relations
Welcome New Members
Check lt Out: RFls/RFPs, Job Postings, Press Releases
Semester Project For Engineering Management, Paul Savory
Semester Project For Engineering Management, Paul Savory
Department of Industrial and Management Systems Engineering: Instructional Materials
This is the semester-project for my IMSE 405/805 course on Engineering Management at the University of Nebraska-Lincoln. This team-based project required students to develop an operational plan (facility layout, required staffing, company operating policies, company benefits program) for a specified product.
Case Study: Applying A Regional Cge Model For Estimation Of Indirect Economic Losses Due To Damaged Highway Bridges, Chakkaphan Tirasirichai, David Lee Enke
Case Study: Applying A Regional Cge Model For Estimation Of Indirect Economic Losses Due To Damaged Highway Bridges, Chakkaphan Tirasirichai, David Lee Enke
Engineering Management and Systems Engineering Faculty Research & Creative Works
Destruction from natural and man-made disasters can result in extensive damage to the affected area's infrastructure. While the destruction results in costs that are necessary to restore the physical destruction and repair of existing infrastructure, a wider economic impact is often indirectly measured and felt. Policymakers generally focus only on losses that are directly caused by the destruction, such as the replacement of roads and bridges, yet tend to overlook the consequences from indirect economic losses. This study proposes a framework to estimate the indirect economic loss due to damaged bridges within the highway system of a major metropolitan area. …
Workshop - Building Reflective Team Skills With A T-Group, Ray Luechtefeld, Steve Eugene Watkins
Workshop - Building Reflective Team Skills With A T-Group, Ray Luechtefeld, Steve Eugene Watkins
Engineering Management and Systems Engineering Faculty Research & Creative Works
ABET criteria require that engineering graduates have the ability to "function on multidisciplinary teams" and "communicate effectively". An important component of these skills is the ability to reflect on one's personal actions and the dynamics occurring within the group. This workshop is intended to provide participants with a practical exercise that can help students become more self-reflective and aware of group dynamics, while demonstrating the use of the "virtual facilitator" system to improve group dialogue. The workshop will engage the participants in a self- directed learning exercise modeled after T-Groups. This exercise will help participants: 1) Become aware of their …
Expert System For Team Facilitation Using Observational Learning, Ray Luechtefeld, R. K. Singh, Steve Eugene Watkins
Expert System For Team Facilitation Using Observational Learning, Ray Luechtefeld, R. K. Singh, Steve Eugene Watkins
Engineering Management and Systems Engineering Faculty Research & Creative Works
While ABET criteria require that engineering graduates be able to "function on multidisciplinary teams" and "communicate effectively", the need for effective team skills goes far deeper. One solution is the use of a computationally intelligent "virtual facilitator" that contains a subset of the expert knowledge of a skilled facilitator. The "virtual facilitator" models behaviors of an expert facilitator to engineering student teams as they are working together. Albert Bandura's theory of observational learning suggests that skills can be developed through observation of expert "others" engaged in practice. Preliminary research indicates that students can increase beneficial team behaviors (such as inquiry) …
Radical Impact Of Change In Actions And Confidence Index On Reverse Decision Making An Application Based Study, Swatee Trimbak Paithankar
Radical Impact Of Change In Actions And Confidence Index On Reverse Decision Making An Application Based Study, Swatee Trimbak Paithankar
Engineering Management & Systems Engineering Theses & Dissertations
While making decisions under uncertainty, people are often unaware of the logical approach to form the decision process. It is assumed that collecting details, analyzing and evaluating data is enough to make 'proper' decisions. However, past research in the decision making arena has significantly validated that there exists a class of decision problems which is complex, ill-structured and not defined to the level where decision makers can draw logical conclusions based on existing traditional decision approaches. RDM (reverse decision making), one of the novel approaches of decision making under conditions of uncertainty, has shown potential towards addressing some of these …
Integrating Game Technology And Discrete Event Simulation To Analyze Mass Casualty Scenarios, Jason Loveland
Integrating Game Technology And Discrete Event Simulation To Analyze Mass Casualty Scenarios, Jason Loveland
Computational Modeling & Simulation Engineering Theses & Dissertations
In the last 10 years, video games have become complex simulation environments with high resolution 3D graphics enabled by powerhouse rendering engines, multi-player client server networks, user friendly displays and graphical user interface , while remaining relatively inexpensive. There is a critical need for systems engineering analysis and rapid trade studies due to changes in operations caused by current events such as terrorist attacks, asymmetric threats, natural disasters, etc. Modem games provide a unique way to visualize and interact with these complex environments, scenarios, missions, and operations. A discrete event simulator (DES) provides an environment to model system architecture behavior, …
Comparisons Of An Adaptive Neural Network Based Controller And An Optimized Conventional Power System Stabilizer, Wenxin Liu, Ganesh K. Venayagamoorthy, Jagannathan Sarangapani, Donald C. Wunsch, Mariesa Crow, Li Liu, David A. Cartes
Comparisons Of An Adaptive Neural Network Based Controller And An Optimized Conventional Power System Stabilizer, Wenxin Liu, Ganesh K. Venayagamoorthy, Jagannathan Sarangapani, Donald C. Wunsch, Mariesa Crow, Li Liu, David A. Cartes
Electrical and Computer Engineering Faculty Research & Creative Works
Power system stabilizers are widely used to damp out the low frequency oscillations in power systems. In power system control literature, there is a lack of stability analysis for proposed controller designs. This paper proposes a Neural Network (NN) based stabilizing controller design based on a sixth order single machine infinite bus power system model. The NN is used to compensate the complex nonlinear dynamics of power system. To speed up the learning process, an adaptive signal is introduced to the NN's weights updating rule. The NN can be directly used online without offline training process. Magnitude constraint of the …
Energy-Efficient Hybrid Key Management Protocol For Wireless Sensor Networks, Timothy J. Landstra, Maciej Jan Zawodniok, Jagannathan Sarangapani
Energy-Efficient Hybrid Key Management Protocol For Wireless Sensor Networks, Timothy J. Landstra, Maciej Jan Zawodniok, Jagannathan Sarangapani
Electrical and Computer Engineering Faculty Research & Creative Works
In this paper, we propose a subnetwork key management strategy in which the heterogeneous security requirements of a wireless sensor network are considered to provide differing levels of security with minimum communication overhead. Additionally, it allows the dynamic creation of high security subnetworks within the wireless sensor network and provides subnetworks with a mechanism for dynamically creating a secure key using a novel and dynamic group key management protocol. The proposed energy-efficient protocol utilizes a combination of pre-deployed group keys and initial trustworthiness of nodes to create a level of trust between neighbors in the network. This trust is later …
Neural Network Based Decentralized Controls Of Large Scale Power Systems, Wenxin Liu, Jagannathan Sarangapani, Ganesh K. Venayagamoorthy, Donald C. Wunsch, Mariesa Crow, Li Liu, David A. Cartes
Neural Network Based Decentralized Controls Of Large Scale Power Systems, Wenxin Liu, Jagannathan Sarangapani, Ganesh K. Venayagamoorthy, Donald C. Wunsch, Mariesa Crow, Li Liu, David A. Cartes
Electrical and Computer Engineering Faculty Research & Creative Works
This paper presents a suite of neural network (NN) based decentralized controller designs for large scale power systems' generators, one is for the excitation control and the other is for the steam valve control. Though the control inputs are calculated using local signals, the transient and overall system stability can be guaranteed. NNs are used to approximate the unknown and/or imprecise dynamics of the local power system dynamics and the inter-connection terms, thus the requirements for exact system parameters are relaxed. Simulation studies with a three-machine power system demonstrate the effectiveness of the proposed controller designs.
The Benefits Of Automatic Data Collection In The Fresh Produce Supply Chain, Ryan Charles Panos, Tali Freed
The Benefits Of Automatic Data Collection In The Fresh Produce Supply Chain, Ryan Charles Panos, Tali Freed
Industrial and Manufacturing Engineering
The potential for RFID based systems to improve the safety and efficiency of a supply chain with rapidly decaying products and strict health standards is creating pressure to adopt RFID in several agricultural industries. A handful of fresh produce industry leaders currently participate in mandated pilot projects, while the industry as a whole is still intimidated by the perceived cost of RFID. Therefore in this study we attempt to validate the correlation between performance and automated data collection, paving the way to economic justification of investment in data collection technologies, such as barcode and RFID.
The majority of product in …
Search Techniques For Multi-Objective Optimization Of Mixed Variable Systems Having Stochastic Responses, Jennifer G. Walston
Search Techniques For Multi-Objective Optimization Of Mixed Variable Systems Having Stochastic Responses, Jennifer G. Walston
Theses and Dissertations
A research approach is presented for solving stochastic, multi-objective optimization problems. First, the class of mesh adaptive direct search (MADS) algorithms for nonlinearly constrained optimization is extended to mixed variable problems. The resulting algorithm, MV-MADS, is then extended to stochastic problems (MVMADS-RS), via a ranking and selection procedure. Finally, a two-stage method is developed that combines the generalized pattern search/ranking and selection (MGPS-RS) algorithms for single-objective, mixed variable, stochastic problems with a multi-objective approach that makes use of interactive techniques for the specification of aspiration and reservation levels, scalarization functions, and multi-objective ranking and selection. A convergence analysis for the …
Acuta Enews September 2007, Vol.36, No. 9
Acuta Enews September 2007, Vol.36, No. 9
ACUTA Newsletters
ln This lssue
From ACUTA Headquarters ................. Jeri A. Semer, CAE, ACUTA Executive Director
lnfo Links.................. Randy Hayes, Univ. of Northern lowa
Tech Talk: Change May Be Constant, But at Least lt's Gradual.............. Kevin Tanzilto, Dux PR
DC Update................ Jeanne Jansenius, Sewanee, The University of the South
Board Report..................... Riny Ledgerwood, San Diego State Univ., ACUTA Sec./Treasurer
Telecommunications Enhancing School Safety............. Gerard Shallo, XTEND Communications
Check lt Out: RFls/RFPs, Job Postings, Press Releases
ACUTA Resources Make Membership a Great Value ................. Patty Benton, University of Alabama
FYI: Useful lnformation from the Campus Student Monitor
Treasure Chest Winners
Welcome New Members …
Measurement And Analysis Of The Shocks Generated During Egg Production, Jay A. Singh, Chris Ferrier, Paul Singh
Measurement And Analysis Of The Shocks Generated During Egg Production, Jay A. Singh, Chris Ferrier, Paul Singh
Industrial Technology and Packaging
In their journey from the laying cage to shipments out of an egg production operation, table eggs encounter multiple shock events. While all agricultural commodities run the possibility of damage during the course of production, shell eggs are particularly susceptible to being cracked or broken during the production operation. A typical egg production facility experiences 2% to 7% checks (a partial mechanical failure to the egg shell) during handling, packaging and transportation of shell eggs. It has been estimated that the total losses to the U.S. egg industry due to checks and breakage of eggs during production amounts to over …
Development Of Wholesale Packaging To Prevent Post-Harvest Damage To Rose Apples, Bundit Jarimopas, Siam Toomsaengtong, Sher Paul Singh, Jay Singh, Rangsinee Sothornvit
Development Of Wholesale Packaging To Prevent Post-Harvest Damage To Rose Apples, Bundit Jarimopas, Siam Toomsaengtong, Sher Paul Singh, Jay Singh, Rangsinee Sothornvit
Industrial Technology and Packaging
The purpose of this research was to determine post-harvest damage to rose apples due to transportation hazards and to comparatively evaluate the performance of the current and proposed wholesale packaging for the fruit. The methodology comprised of sampling and conducting damage analysis of rose apples of two varieties (Thongsamsri and Toonklao) distributed using commercial packaging to various retailers and wholesalers selected at random around the Bangkok metropolitan areas. Three kinds of current wholesale packaging were packed with newly harvested, damage-free, and uniform sized Thongsamsri rose apples and tested using a vibration simulator. The same testing was performed for the two …
Comparison Of Package Cushioning Materials To Protect Post-Harvest Impact Damage To Apples, Bundit Jarimopas, Sher Paul Singh, S. Sayasoonthorn, Jay A. Singh
Comparison Of Package Cushioning Materials To Protect Post-Harvest Impact Damage To Apples, Bundit Jarimopas, Sher Paul Singh, S. Sayasoonthorn, Jay A. Singh
Industrial Technology and Packaging
Damage to fruits and vegetables continues to be a big challenge as global markets become a reality. Worldwide distribution of sensitive produce is faced with various levels of impacts from shipping and handling. Despite a variety of packaging options available today, bruising damage is commonplace for post-harvest apples throughout the supply chain. The major sources of bruising are compression, impact or vibration forces. Understanding where these forces occur can help reduce this type of mechanical damage to apples. The purpose of this study was to investigate the impact characteristics of foam net and corrugated board when applied as wrapping for …
Assessing Capacity Scalability Policies In Rms Using System Dynamics, Ahmed M. Deif, Hoda A. Elmaraghy
Assessing Capacity Scalability Policies In Rms Using System Dynamics, Ahmed M. Deif, Hoda A. Elmaraghy
Industrial Technology and Packaging
This paper presents a model for assessing different capacity scalability policies in Reconfigurable Manufacturing System (RMS) for different changing demand scenarios. The novelty of this approach is two fold: (1) it is the first attempt to explore different capacity scalability policies in RMS based on multiple performance measures, mainly scaling rate, Work In Process level, inventory level and backlog level; and (2) the dynamic scalability process in RMS is modeled for the first time using System Dynamics. Different policies for capacity scalability for various demand scenarios were assessed. Numerical simulation results obtained using the developed capacity scalability model showed that …
Robust Local Search And Its Application To Generating Robust Schedules, Hoong Chuin Lau, Fei Xiao, Thomas Ou
Robust Local Search And Its Application To Generating Robust Schedules, Hoong Chuin Lau, Fei Xiao, Thomas Ou
Research Collection School Of Computing and Information Systems
In this paper, we propose an extended local search framework to solve combinatorial optimization problems with data uncertainty. Our approach represents a major departure from scenario-based or stochastic programming approaches often used to tackle uncertainty. Given a value 0 < ? 1, we are interested to know what the robust objective value is, i.e. the optimal value if we allow an chance of not meeting it, assuming that certain data values are defined on bounded random variables. We show how a standard local search or metaheuristic routine can be extended to efficiently construct a decision rule with such guarantee, albeit heuristically. We demonstrate its practical applicability on the Resource Constrained Project Scheduling Problem with minimal and maximal time lags (RCPSP/max) taking into consideration activity duration uncertainty. Experiments show that, partial order schedules can be constructed that are robust in our sense without the need for a large planned horizon (due date), which improves upon the work proposed by Policella et al. 2004.
Unreliable Retrial Queues In A Random Environment, James D. Cordeiro Jr.
Unreliable Retrial Queues In A Random Environment, James D. Cordeiro Jr.
Theses and Dissertations
This dissertation investigates stability conditions and approximate steady-state performance measures for unreliable, single-server retrial queues operating in a randomly evolving environment. In such systems, arriving customers that find the server busy or failed join a retrial queue from which they attempt to regain access to the server at random intervals. Such models are useful for the performance evaluation of communications and computer networks which are characterized by time-varying arrival, service and failure rates. To model this time-varying behavior, we study systems whose parameters are modulated by a finite Markov process. Two distinct cases are analyzed. The first considers systems with …
Distributed Energy Resources: Issues And Challenges, Badrul H. Chowdhury, Chung-Li Tseng
Distributed Energy Resources: Issues And Challenges, Badrul H. Chowdhury, Chung-Li Tseng
Electrical and Computer Engineering Faculty Research & Creative Works
No abstract provided.
State-Of-The-Art And Evolution In Public Data Sets And Competitions For System Identification, Time Series Prediction And Pattern Recognition, Joos Vandewalle, Johan Suykens, Bart De Moor, Amaury Lendasse
State-Of-The-Art And Evolution In Public Data Sets And Competitions For System Identification, Time Series Prediction And Pattern Recognition, Joos Vandewalle, Johan Suykens, Bart De Moor, Amaury Lendasse
Engineering Management and Systems Engineering Faculty Research & Creative Works
It is the Aim of Reproducible Research to Provide Mechanisms for Objective Comparison of Methods, Algorithms, Software and Procedures in Various Research Topics. in This Paper, We Discuss the Role of Data Sets, Benchmarks and Competitions in the Fields of System Identification, Time Series Prediction, Classification, and Pattern Recognition in View of Creating an Environment of Reproducible Research. Important Elements Are the Data Sets, their Origin, and the Comparison Measures that Will Be Used to Rank the Performance of the Methods. the Issues Are Discussed, a Comparison is Made and Recommendations Are Given. © 2007 IEEE.
Research On Logistics Operation Mode Of Shanghai 2010 Expo, Jiaying Chen
Research On Logistics Operation Mode Of Shanghai 2010 Expo, Jiaying Chen
World Maritime University Dissertations
No abstract provided.
Choice And Optimization Of Forecasting Models For Container Port Throughput, Qingcheng Xue
Choice And Optimization Of Forecasting Models For Container Port Throughput, Qingcheng Xue
World Maritime University Dissertations
No abstract provided.
Heuristics For Scheduling Reentrant Flexible Job Shops With Sequence-Dependent Setup Times And Limited Buffer Capacities, Jakrawarn Kunadilok
Heuristics For Scheduling Reentrant Flexible Job Shops With Sequence-Dependent Setup Times And Limited Buffer Capacities, Jakrawarn Kunadilok
All Dissertations
This research addresses the problem of scheduling complex job shops with minimizing total weighted tardiness as the objective. The complex job shop is characterized by reentrant job flow through a number of different work centers that contain one or more identical parallel machines. The processing restrictions for the complex job shop include possible non-zero ready times and sequence-dependent setup times. We categorize the complex job shop into two classes: the complex job shop with infinite or finite buffer capacities. We propose three solution methodologies for scheduling the problem with infinite buffer capacities. The first method is the use of mixed …
The Study On Inland Container Terminal Logistics System Simulation, Jun Wu
The Study On Inland Container Terminal Logistics System Simulation, Jun Wu
World Maritime University Dissertations
No abstract provided.
The Study On The Empty Container Repositioning Of Container Leasing Company, Yi Zhao
The Study On The Empty Container Repositioning Of Container Leasing Company, Yi Zhao
World Maritime University Dissertations
No abstract provided.