Now showing items 1-20 of 73

    • A multi-criteria approach for biomass crop selection under fuzzy environment 

      Bueyuektahtakin, I. Esra; Cobuloglu, Halil I. (2014-06-03)
      The type of biomass crop has a significant impact on the feasibility of ethanol production. Since biomass crop type can have various environmental and economic impacts, the selection of an optimal crop type is a multi-criteria ...
    • A novel method for development of constitutive models under simultaneous extreme strains and strain rates 

      Lopez-Hawa, Homar; Madhavan, Viswanathan; Moscoso-Kingsley, Wilfredo; Mates, Steven; Eliasson, Veronica; Allison, Paul (Springer International Publishing, 2022-11-25)
      This work presents a new experimental configuration for studying material behavior under extreme thermomechanical conditions. Deformation strains up to 10, strain rates up to 10$^6$ 1/s, and temperatures close to melting ...
    • A review of lignocellulosic biomass and biofuel supply chain models 

      Bueyuektahtakin, I. Esra; Cobuloglu, Halil I. (2014-06-03)
      Biofuels have received considerable attention lately due to the scarcity of fossil-based energy and its adverse impact on the environment. Furthermore, the need for a consistent energy supply has led researchers and ...
    • Adiabatic shear banding behavior of additively manufactured superalloy in 625 

      Bhavsar, Pavan; Lopez-Hawa, Homar; Ananda-Kumar, Rajesh; Madhavan, Viswanathan; Moscoso-Kingsley, Wilfredo (Elsevier, 2019)
      Additively manufactured nickel superalloy (IN 625) has gained popularity as an alternative to produce high value products of complex geometries for high strength applications under high temperature and corrosive environments. ...
    • Advancements in Unit Process Life Cycle Inventories (UPLCI) Tools 

      Overcash, Michael; Griffing, Evan M.; Vozzola, Eric; Twomey, Janet M.; Flanagan, W.; Isaacs, J. (Elsevier, 2018)
      Interest in environmental benefits and impacts of products continues to evolve. Direct macro-creation of pieces, parts, and components assembled into products is an essential final step, requiring energy and chemical ...
    • Aligning enterprise analytics to business process capability maturity 

      Huffman, John E.; Whitman, Lawrence E. (Elsevier B.V., 2015)
      Aligning enterprise analytics to business capability maturity is a difficult yet, imperative process. This paper will provide a background on Enterprise Intelligence Capability Maturity Model and lists a summary of the key ...
    • Augmenting learning components for safety in resource constrained autonomous robots 

      Ramakrishna, Shreyas; Dubey, Abhishek; Burruss, Matthew P.; Hartsell, Charles; Mahadevan, Nagabhushan; Nannapaneni, Saideep; Laszka, Aron; Karsai, Gabor (IEEE, 2019-05)
      Learning enabled components (LECs) trained using data-driven algorithms are increasingly being used in autonomous robots commonly found in factories, hospitals, and educational laboratories. However, these LECs do not ...
    • Battery prognostics using a self-cognizant dynamic system approach 

      Bai, Guangxing; Wang, Pingfeng (IEEE, 2015)
      This paper proposes a new self-cognizant dynamic system approach for Battery PHM, that incorporates an artificial neural network model into a dual extended Kalman filter (DEKF) algorithm. A feed-forward neural network ...
    • Characterizing the workday of ambulance crew members 

      Huynh, Ngoc H.; Bui, Huong; Cure Vellojin, Laila N. (Institute of Industrial and Systems Engineers (IISE), 2020)
      The work of ambulance crew members is highly variable and unpredictable. Decisions made based on an oversimplified understanding of the workday may result in crewmembers struggling to meet unrealistic demands and subsequently ...
    • Commercial simulation over the Web 

      Whitman, Lawrence E.; Huff, Brian; Palaniswamy, S. (IEEE, 1999-01)
      Modeling and simulation provide objective analysis tools for many fields including manufacturing. This paper presents the requirements and describes the usefulness of a Web-based interface to discrete-event simulation. A ...
    • Comparing quantum optimization solvers for rebalancing analysis of bike sharing system 

      Harikrishnakumar, Ramkumar; Ahmad, Syed Farhan; Nannapaneni, Saideep (IEEE, 2022-09-23)
      Smart Mobility is the key component of Smart City initiative that are being explored throughout the world. The bike-sharing system (BSS) aims to provide an alternative mode of Smart Mobility transportation system, and it ...
    • Comparison of flow stress of aluminum alloy 6061-T6 obtained from chip pulling orthogonal cutting and Kolsky bar testing 

      Cui, Changlong; Bhavsar, Pavan; Lopez-Hawa, Homar; Madhavan, Viswanathan; Moscoso-Kingsley, Wilfredo (Elsevier B.V., 2020)
      Machining can be used as a test for the flow stress of materials under conditions of high strain (ε > 1) and strain rate (102/s to 106/s). Constitutive models of metallic materials are conventionally obtained by dynamic ...
    • Concept drift and evolution detection in fusion diagnosis with evolving data streams 

      Abdolsamadi, Amirmahyar; Wang, Pingfeng (ASME, 2017)
      Health diagnosis interprets data streams acquired by smart sensors and makes inferences about health conditions of an engineering system thereby making critical operational decisions. A data stream is a flow of continuous ...
    • Concurrent design of functional reliability and failure prognosis for engineered resilience 

      Wang, Pingfeng; Youn, Byeng D.; Hu, Chao (American Society of Mechanical Engineers, 2014)
      This paper presents a new system design platform and approaches leading to the development of resilient engineered systems through integrating design of system functions and prognosis of function failures in a unified ...
    • A Copula-based Sampling Method for Data-driven prognostics and health management 

      Xi, Zhimin; Jing, Rong; Wang, Pingfeng; Hu, Chao (IEEE, 2013-06-24)
      This paper develops a Copula-based sampling method for data-driven prognostics and health management (PHM). The principal idea is to first build statistical relationship between failure time and the time realizations at ...
    • A Copula-based Sampling Method for Data-driven prognostics and health management 

      Xi, Zhimin; Jing, Rong; Wang, Pingfeng; Hu, Chao (American Society of Mechanical Engineers, 2014)
      This paper develops a Copula-based sampling method for data-driven prognostics and health management (PHM). The principal idea is to first build statistical relationship between failure time and the time realizations at ...
    • Deep belief network based state classification for structural health diagnosis 

      Tamilselvan, Prasanna; Wang, Yibin; Wang, Pingfeng (IEEE, 2012)
      Effective health diagnosis provides multifarious benefits such as improved safety, improved reliability and reduced costs for the operation and maintenance of complex engineered systems. This paper presents a novel ...
    • Defining multiple criteria for selecting an effective treatment plan for breast cancer 

      Hasan, Mostafa; Buyuktahtakin, Esra; Elamin, Elshami (Institute of Industrial Engineers, 2020)
      According to the American Cancer Society, 231,840 new cases were diagnosed with invasive breast cancer and approximately 40,290 women died in the United States in 2015. The selection of an effective treatment plan for ...
    • Design of a robust classification fusion platform for structural health diagnostics 

      Tamilselvan, Prasanna; Wang, Pingfeng; Hu, Chao (American Society of Mechanical Engineers, 2014)
      Efficient health diagnostics provides benefits such as improved safety, improved reliability, and reduced costs for the operation and maintenance of engineered systems. This paper presents a multi-attribute classification ...
    • Design of response networks during disasters 

      Alsaadi, Ahmed K.; Krishnan, Krishna K.; Almaktoom, Abdulaziz T. (Institute of Industrial Engineers, 2020)
      Every year the world faces many different and diverse types of disasters. The effects of these catastrophes are vast and disastrous for humanity. These effects include economic devastation, massive structural damage, and ...