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An Artificial Immune Algorithm For Ergonomic Product Classification Using Anthropometric Measurements, Madjid Tavana, Mohammad Reza Kazemi, Amin Vafadarnikjoo, Mohammadsadegh Mobin 2016 La Salle University

An Artificial Immune Algorithm For Ergonomic Product Classification Using Anthropometric Measurements, Madjid Tavana, Mohammad Reza Kazemi, Amin Vafadarnikjoo, Mohammadsadegh Mobin

Amin Vafadarnikjoo

Product classification using anthropometric measurements leads to ergonomic product design and user satisfaction. We propose an effective artificial immune algorithm (AIA) to classify ergonomic products with multi-criteria anthropometric measurements and tune the AIA parameters with a full factorial experimental design approach. We demonstrate the applicability and efficacy of the proposed algorithm by considering the anthropometric measurements of the hand, developing an ergonomic computer mouse, and classifying consumers into three categories. The resulting classifications are compared with expert opinions to facilitate the conformity of the computer mouse to user requirements. 


Perceptual Grouping Effects On Cursor Movement Expectations, Michael C. Dorneich, Christopher J. Hamblin, Jeff A. Lancaster, Olu Olofinboba 2016 Iowa State University

Perceptual Grouping Effects On Cursor Movement Expectations, Michael C. Dorneich, Christopher J. Hamblin, Jeff A. Lancaster, Olu Olofinboba

Michael C. Dorneich

Objective: Two studies were conducted to develop an understanding of factors that drive user expectations when navigating between discrete elements on a display via a limited degree-of-freedom cursor control device. Background: For the Orion Crew Exploration Vehicle spacecraft, a free-floating cursor with a graphical user interface (GUI) would require an unachievable level of accuracy due to expected acceleration and vibration conditions during dynamic phases of flight. Therefore, Orion program proposed using a "caged" cursor to "jump" from one controllable element (node) on the GUI to another. However, nodes are not likely to be arranged on a rectilinear grid, and so ...


The Team Multiple Errands Test: A Platform To Evaluate Distributed Teams, Jamiahus Walton, Desmond Carletus Bonner, Kelsey Walker, Samantha Mater, Michael C. Dorneich, Stephen B. Gilbert, Robert West 2016 Iowa State University

The Team Multiple Errands Test: A Platform To Evaluate Distributed Teams, Jamiahus Walton, Desmond Carletus Bonner, Kelsey Walker, Samantha Mater, Michael C. Dorneich, Stephen B. Gilbert, Robert West

Michael C. Dorneich

Teams have the ability to achieve goals that are unobtainable by individuals alone. However, there is little agreement on a standard model for researching the performance of distributed teams. Initial pilot results suggest that the Multiple Errands Test (MET), when adapted to a team in a virtual environment, is a platform for evaluating the impact of feedback characteristics. To demonstrate the potential of the Team MET as a platform for future team research in the broader CSCW community, an example study is described in which team members are given feedback in one of four conditions: individual private, team private, individual ...


Systematic Identification Of Coordination Gaps In Pediatric Care, Diana M. Prieto, Anil Kumar, Catherine L. Kothari, Cheryl Dickson 2016 Western Michigan University

Systematic Identification Of Coordination Gaps In Pediatric Care, Diana M. Prieto, Anil Kumar, Catherine L. Kothari, Cheryl Dickson

Frontiers in Public Health Services and Systems Research

In the United States, the status of coordination among pediatric care services is not well understood. Through the use of quality improvement (QI) techniques, coordination gaps were systematically identified in the interagency network of pediatric services in Kalamazoo MI. Gaps were found in transportation resources, follow-up procedures, awareness of services, interagency communication, insurance limitations, population behaviors, and resource utilization. This preliminary study reveals the need for (1) protocols for intra- and inter-agency communication, (2) mechanisms for easy and fast retrieval of pediatric resources, and (3) health information exchange.


Measuring Success: Community Analytics For Local Economic Development, Michael P. Johnson Jr., Sandeep Jani 2016 University of Massachusetts Boston

Measuring Success: Community Analytics For Local Economic Development, Michael P. Johnson Jr., Sandeep Jani

Michael P. Johnson

Main Street organizations are community-based nonprofits across the USA dedicated to local economic development through physical improvements, technical assistance to businesses, marketing and placebuilding. In this paper we identify metrics associated with success in local economic development and generate decision opportunities for improved program design and implementation. Our community partners, Main Street organizations in the city of Boston, want to ensure that data they collect about their service areas can help them measure progress towards achieving their individual goals as well as identify programs and initiatives that make best use of their resources and expertise. Using a mixed methods, inductive ...


A Bayesian-Influence Model For Error Probability Analysis Of Combine Operations In Harvesting, Yu Du, Michael Dorneich, Brian L. Steward, Cameron A. MacKenzie 2016 Iowa State University

A Bayesian-Influence Model For Error Probability Analysis Of Combine Operations In Harvesting, Yu Du, Michael Dorneich, Brian L. Steward, Cameron A. Mackenzie

Industrial and Manufacturing Systems Engineering Publications

Harvesting is one of the most important agricultural operations because it captures the value from the entire cropping season. In modern agriculture, grain harvesting has been mechanized through the combine harvester. A combine harvester enables highly productive crop harvesting. Combine harvesting performance depends on the highly variable skill of combine operators and associated operator error. An approach was developed to analyze the risk of the combine harvesting operation as it relates to operator error. Specifically, a risk analysis model was built based on a task analysis from operator interviews and estimates of the probability of operator error. This paper employs ...


Improving Carbon Efficiency Through Container Size Optimization And Shipment Consolidation, Nang Laik MA, Kar Way TAN, Edwin Lik Ming CHONG 2016 Singapore Management University

Improving Carbon Efficiency Through Container Size Optimization And Shipment Consolidation, Nang Laik Ma, Kar Way Tan, Edwin Lik Ming Chong

Research Collection School Of Information Systems

Purpose: Many manufacturing companies that ship goods through full container loads found themselves under-utilizing the containers and resulting in higher carbon footprint per volume shipment. One of the reasons is the choice of non-ideal container sizes for their shipments. Consolidation fills up the containers more efficiently that reduces the overall carbon footprint. The objective of this paper is to support decisions on selection of appropriate combination of container sizes and shipment consolidation for a manufacturing company. We develop two-steps model which first takes the volumes to be shipped as an input and provide the combination of container sizes required; then ...


Temporal Variations Of Water Productivity In Irrigated Corn: An Analysis Of Factors Influencing Yield And Water Use Across Central Nebraska, Tony Carr, Haishun Yang, Chittaranjan Ray 2016 University of Nebraska-Lincoln

Temporal Variations Of Water Productivity In Irrigated Corn: An Analysis Of Factors Influencing Yield And Water Use Across Central Nebraska, Tony Carr, Haishun Yang, Chittaranjan Ray

Faculty Publications from The Water Center

Water Productivity (WP) of a crop defines the relationship between the economic or physical yield of the crop and its water use. With this concept it is possible to identify disproportionate water use or water-limited yield gaps and thereby support improvements in agricultural water management. However, too often important qualitative and quantitative environmental factors are not part of aWP analysis and therefore neglect the aspect of maintaining a sustainable agricultural system. In this study, we examine both the physical and economic WP in perspective with temporally changing environmental conditions. The physical WP analysis was performed by comparing simulated maximum attainable ...


Effects Of Early Exposure To Sign Language On The Biomechanics Of Interpreting, Abigail Donner, Matthew Marshall, Jacqueline Mozrall 2016 Rochester Institute of Technology

Effects Of Early Exposure To Sign Language On The Biomechanics Of Interpreting, Abigail Donner, Matthew Marshall, Jacqueline Mozrall

Journal of Interpretation

Sign language interpreters are routinely exposed to the high physical and cognitive demands inherent to the profession. Unfortunately, many interpreters suffer from musculoskeletal disorders as a result of this exposure. There are a myriad of factors that can contribute to the development of a musculoskeletal disorder, but many of these are not under the control of the interpreter. However, individual technique is something that affects upper extremity biomechanics and is something that an interpreter can regulate. Research with musicians has demonstrated that early exposure to musical technique can lead to the development of a technique that is more biomechanically efficient ...


Life Cycle Analysis Of Railway Noise And Vibration Mitigation Methodologies With Respect To Curve Squeal Noises, Sadudee Setsobhonkul, Sakdirat Kaewunruen 2016 University of Birmingham

Life Cycle Analysis Of Railway Noise And Vibration Mitigation Methodologies With Respect To Curve Squeal Noises, Sadudee Setsobhonkul, Sakdirat Kaewunruen

Sakdirat Kaewunruen

Wheel/rail interface inevitably induces a travelling source of sound and vibration, which spread over a long distance of rail network and neighborhood corridor. The sound and vibration can be generated in various forms and spectra. The undesirable sound and vibration, is often called ‘noise’, includes rolling noise, impact noise, curve noise, mechanical noise, airborne noise, wheel/rail noise, structure- and ground-borne noises. The noise and vibration that is transferred back through the vehicle body mainly affects ride quality, customer experience, and structural integrity of the rolling stocks, whereas the vibration that is transmitted from the rails to the supporting ...


Using A Neuro-Fuzzy-Genetic Data Mining Architecture To Determine A Marketing Strategy In A Charitable Organization's Donor Database, Korakot Hemsathapat, Cihan H. Dagli, David Lee Enke 2016 Missouri University of Science and Technology

Using A Neuro-Fuzzy-Genetic Data Mining Architecture To Determine A Marketing Strategy In A Charitable Organization's Donor Database, Korakot Hemsathapat, Cihan H. Dagli, David Lee Enke

David Enke

This paper describes the use of a neuro-fuzzy-genetic data mining architecture for finding hidden knowledge and modeling the data of the 1997 donation campaign of an American charitable organization. This data was used during the 1998 KDD Cup competition. In the architecture, all input variables are first preprocessed and all continuous variables are fuzzified. Principal component analysis (PCA) is then applied to reduce the dimensions of the input variables in finding combinations of variables, or factors, that describe major trends in the data. The reduced dimensions of the input variables are then used to train probabilistic neural networks (PNN) to ...


Short-Term Stock Market Timing Prediction Under Reinforcement Learning Schemes, Hailin Li, Cihan H. Dagli, David Lee Enke 2016 Missouri University of Science and Technology

Short-Term Stock Market Timing Prediction Under Reinforcement Learning Schemes, Hailin Li, Cihan H. Dagli, David Lee Enke

David Enke

There are fundamental difficulties when only using a supervised learning philosophy to predict financial stock short-term movements. We present a reinforcement-oriented forecasting framework in which the solution is converted from a typical error-based learning approach to a goal-directed match-based learning method. The real market timing ability in forecasting is addressed as well as traditional goodness-of-fit-based criteria. We develop two applicable hybrid prediction systems by adopting actor-only and actor-critic reinforcement learning, respectively, and compare them to both a supervised-only model and a classical random walk benchmark in forecasting three daily-based stock indices series within a 21-year learning and testing period. The ...


Forecasting Series-Based Stock Price Data Using Direct Reinforcement Learning, H. Li, Cihan H. Dagli, David Lee Enke 2016 Missouri University of Science and Technology

Forecasting Series-Based Stock Price Data Using Direct Reinforcement Learning, H. Li, Cihan H. Dagli, David Lee Enke

David Enke

A significant amount of work has been done in the area of price series forecasting using soft computing techniques, most of which are based upon supervised learning. Unfortunately, there has been evidence that such models suffer from fundamental drawbacks. Given that the short-term performance of the financial forecasting architecture can be immediately measured, it is possible to integrate reinforcement learning into such applications. In this paper, we present the novel hybrid view for a financial series and critic adaptation stock price forecasting architecture using direct reinforcement. A new utility function called policies-matching ratio is also proposed. The need for the ...


Cost Allocation For Transmission Investment Using Agent-Based Game Theory, Jakapun Mepokee, David Lee Enke, Badrul H. Chowdhury 2016 Missouri University of Science and Technology

Cost Allocation For Transmission Investment Using Agent-Based Game Theory, Jakapun Mepokee, David Lee Enke, Badrul H. Chowdhury

David Enke

Due to electrical power restructuring, a dramatic change has been made to the generation and transmission sectors of the power industry. Rules and legislation are continuously changing. To promote more competition, transmission has to be expanded or upgraded to remove congestion and market power. The cost allocation of new investment in transmission has to be recalculated. The socialization methods of the past have been shown to be unfair to some market and network participants. The decentralization of cost allocation must be considered. The proposed paper provides a comparison between traditional cost allocation methods and a new cost allocation method based ...


Successfully Blending Distance Students Into The On-Campus Classroom, Susan L. Murray, David Lee Enke, Sreeram Ramakrishnan 2016 Missouri University of Science and Technology

Successfully Blending Distance Students Into The On-Campus Classroom, Susan L. Murray, David Lee Enke, Sreeram Ramakrishnan

David Enke

The main issues that need to be considered for successful blending of distance students into the on-campus classroom is discussed. A significant challenge commonly faced is how to remain flexible in presenting course materials while still having notes and other handouts in electronic format available before the lecture. Other challenges include creating and using lecture material that can be viewed at low resolution and low bandwidth, and getting distance students to interact with the instructor, on-campus students, and fellow distance students. In order to integrate distance students with the traditional on-campus student population, it is imperative to modify teaching styles ...


A Biologically Inspired Connectionist Architecture For Directing Attention To Salient Visual Field Objects, David Lee Enke 2016 Missouri University of Science and Technology

A Biologically Inspired Connectionist Architecture For Directing Attention To Salient Visual Field Objects, David Lee Enke

David Enke

In an attempt to incorporate basic visual attention abilities into existing artificial vision systems, a neural model of the bidirectional interactions within and between the brain regions believed to be involved in human visual attention has been developed. This model currently gives an artificial vision system the ability to attend to salient, or pop-out features and objects within the vision system''s field of view. After a review of the physiology of human visual attention, a network model of the aforementioned neural interactions is presented, followed by a demonstration of its performance.


Web Personalization Using Neuro-Fuzzy Clustering Algorithms, Kartik Menon, Cihan H. Dagli 2016 Missouri University of Science and Technology

Web Personalization Using Neuro-Fuzzy Clustering Algorithms, Kartik Menon, Cihan H. Dagli

Cihan Dagli

Different users have different needs from the same web page and hence it is necessary to develop a system which understands the needs and demands of the users. Web server logs have abundant information about the nature of users accessing it. In this paper we discussed how to mine these web server logs for a given period of time using unsupervised and competitive learning algorithm like Kohonen''s self organizing maps (SOM) and interpreting those results using Unified distance Matrix (U-matrix). These algorithms help us in efficiently clustering users based on similar web access patterns and each cluster having users ...


Using Extensible Modeling In Systems Engineering And Architectural Search, Jason Paul Dauby, Cihan H. Dagli 2016 Missouri University of Science and Technology

Using Extensible Modeling In Systems Engineering And Architectural Search, Jason Paul Dauby, Cihan H. Dagli

Cihan Dagli

The system architecting process is the hierarchical reduction of ambiguity associated with user needs and system design. Design allocation, and subsequent integration, implicitly requires a mechanism by which levels of detail can be added and removed from a decision scenario. This paper addresses the idea of engineering model sharing through the concept of vertical and horizontal extensibility as one mechanism by which hierarchical reduction in ambiguity can be facilitated. Extensible modeling introduces a systems architecting approach to the modeling community by identifying model interfaces and carefully decomposing the model domain. While the actual system hardware is not known at the ...


Using Quality Attributes And Computational Intelligence To Generate And Evaluate System Architecture Alternatives, Atmika Singh, Cihan H. Dagli 2016 Missouri University of Science and Technology

Using Quality Attributes And Computational Intelligence To Generate And Evaluate System Architecture Alternatives, Atmika Singh, Cihan H. Dagli

Cihan Dagli

This paper proposes an evolutionary algorithm based approach for evolving architecture alternatives using quality attributes as design drivers. A novel fuzzy architecture assessment approach is presented to quantitatively evaluate the set of possible solutions based on linguistic assessments of architecture quality attributes elicited from the stakeholders. The proposed approach makes a valuable contribution to the systems architecting knowledge base by presenting a measurable and quantifiable approach to architecture design and evaluation.


Using A Neuro-Fuzzy-Genetic Data Mining Architecture To Determine A Marketing Strategy In A Charitable Organization's Donor Database, Korakot Hemsathapat, Cihan H. Dagli, David Lee Enke 2016 Missouri University of Science and Technology

Using A Neuro-Fuzzy-Genetic Data Mining Architecture To Determine A Marketing Strategy In A Charitable Organization's Donor Database, Korakot Hemsathapat, Cihan H. Dagli, David Lee Enke

Cihan Dagli

This paper describes the use of a neuro-fuzzy-genetic data mining architecture for finding hidden knowledge and modeling the data of the 1997 donation campaign of an American charitable organization. This data was used during the 1998 KDD Cup competition. In the architecture, all input variables are first preprocessed and all continuous variables are fuzzified. Principal component analysis (PCA) is then applied to reduce the dimensions of the input variables in finding combinations of variables, or factors, that describe major trends in the data. The reduced dimensions of the input variables are then used to train probabilistic neural networks (PNN) to ...


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