Digital Commons Network^™

Investigation On Ring Valve Motion And Impact Stress In Reciprocating Compressors, Yu Wang, Jianmei Feng, Yuefei Wang, Xueyuan Peng

International Compressor Engineering Conference

No abstract provided.

A Lumped Thermodynamic Model For Scroll Compressors With Special Attention To The Geometric Characterization During The Discharge Process, Evandro L. L. Pereira, Cesar J. Deschamps

International Compressor Engineering Conference

No abstract provided.

An Algebraic Model For Transient Simulation Of Reciprocating Compressors, Cezar O. R. Negrao, Raul H. Erthal, Diogo E. V. Andrade, Luciana W. Silva

International Compressor Engineering Conference

No abstract provided.

Consistent Initialization Of System Of Differential-Algebraic Equations For Dynamic Simulation Of Centrifugal Chillers, Pengfei Li, Yaoyu Li, John E. Seem

International Compressor Engineering Conference

No abstract provided.

Modeling Mitochondrial Bioenergetics With Integrated Volume Dynamics., Jason N. Bazil, Gregery T. Buzzard, Ann E. Rundell

Department of Mathematics Faculty Publications

Mathematical models of mitochondrial bioenergetics provide powerful analytical tools to help interpret experimental data and facilitate experimental design for elucidating the supporting biochemical and physical processes. As a next step towards constructing a complete physiologically faithful mitochondrial bioenergetics model, a mathematical model was developed targeting the cardiac mitochondrial bioenergetic based upon previous efforts, and corroborated using both transient and steady state data. The model consists of several modified rate functions of mitochondrial bioenergetics, integrated calcium dynamics and a detailed description of the K+-cycle and its effect on mitochondrial bioenergetics and matrix volume regulation. Model simulations were used to fit 42 …

Using A Student-Generated Survey To Inform Planning For A User-Focused Learning Commons, Sharon A. Weiner, John Weiner

Libraries Research Publications

A master’s comprehensive University is planning a learning commons to support undergraduate learning. The planning process included a literature review, site visits to commons, consultations with experts in the field, discussions with campus specialists, and surveys of patrons. The literature reports two primary forms of data gathering for learning commons: interview/observation and purposive surveys. This report describes the findings of a survey conducted to determine students’ perceptions of services relevant in learning commons. The findings indicated that the students wanted help with their information processing needs.

Calibrated Peer Review: A New Tool For Integrating Information Literacy Skills In Writing-Intensive Large Classroom Settings., Michael Fosmire

Libraries Faculty and Staff Scholarship and Research

Calibrated Peer Review™ (CPR) is a program that can significantly enhance the ability to integrate intensive information literacy exercises into large classroom settings. CPR is founded on a solid pedagogic base for learning, and it is formulated in such a way that information skills can easily be inserted. However, there is no mention of its application for information literacy in the library literature. A sample implementation of CPR in a course co-taught by science disciplinary faculty and librarians at Purdue University is presented with recommendations for optimal use of this resource. CPR is a valuable new tool that librarians can …

Transient Simulation Of Household Refrigerators: A Semi-Empirical, Quasi-Steady Approach, Bruno Borges, Christian Hermes, Claudio Melo, Goncalves Goncalves

International Refrigeration and Air Conditioning Conference

No abstract provided.

A State Space Approach For The Dynamic Analysis Of Automotive Air Conditioning System, Arul Selvan Subramaniyan, Seethalakshmi Pandian

International Refrigeration and Air Conditioning Conference

No abstract provided.

Modelica Based Dynamic Modeling Of Water-Cooled Centrifugal Chillers, Pengfei Li, Yaoyu Li, John E. Seem

International Refrigeration and Air Conditioning Conference

No abstract provided.

Large Scale Application Of Vibration Sensors For Fan Monitoring At Commercial Layer Hen Houses, Yan Chen, Ji-Qin Ni, Claude A. Diehl, Albert J. Heber, Bill W. Bogan, Li-Long Chai

School of Agricultural & Biological Engineering Faculty Publications

Continuously monitoring the operation of each individual fan can significantly improve the measurement quality of aerial pollutant emissions from animal buildings that have a large number of fans. To monitor the fan operation by detecting the fan vibration is a relatively new technique. A low-cost electronic vibration sensor was developed and commercialized. However, its large scale application has not yet been evaluated. This paper presents long-term performance results of this vibration sensor at two large commercial layer houses. Vibration sensors were installed on 164 fans of 130 cm diameter to continuously monitor the fan on/off status for two years. The …

An Adaptive Neuro-Fuzzy Inference System (Anfis) Modelling Of Oil Retention In A Carbon Dioxide Air-Conditioning System, Mehdi Mehrabi, Seyed Mehdi Pesteei

International Refrigeration and Air Conditioning Conference

No abstract provided.

Control Of An Electronic Expansion Valve Using An Adaptive Pid Controller, Antonio Auguto Torres Maia, Marconi De Assis Silva, Ricardo Nicolau Nassar Koury, Luiz Machado, Alexandre Carlos Eduardo

International Refrigeration and Air Conditioning Conference

No abstract provided.

Flowfield Uncertainty Analysis For Hypersonic Cfd Simulations, A B. Weaver, Alina A. Alexeenko, R B. Greendyke, J A. Camberos

School of Aeronautics and Astronautics Faculty Publications

Uncertainty quantification (UQ) in the hypersonic flow regime offers valuable information to determine physical models in need of improvement and to assist in design of vehicles and flight experiments. Here we present results of UQ analysis based on polynomial chaos method to determine flowfield and surface heat flux uncertainty under typical blunt-body re-entry conditions. The NASA Langley code, LAURA, was used for axisymmetric CFD calculations of chemically reacting hypersonic flow over FIRE-II configuration. A third order polynomial chaos (PC) method using the Gauss-Hermite quadrature was applied for determining probability density functions and moments of output quantities. Input parameters such as …

Spontaneous Transition To Superrotation In Warm Climates Simulated By Cam3, Rodrigo Caballero, Matthew Huber

Department of Earth, Atmospheric, and Planetary Sciences Faculty Publications

Recent paleoclimate proxy reconstructions show that tropical surface temperatures may have been as high as 35°–40°C in the Early Cenozoic. Here, we study the tropical atmospheric circulation's response to temperatures in this range using a full-complexity atmospheric general circulation model (AGCM). We find that when equatorial surface temperatures exceed ∼33°C, the model undergoes a transition to equatorial superrotation, a state with strong annual- and zonal-mean westerlies on the equator. The transition is driven by zonal momentum convergence due to large-amplitude transient eddies on the equator. These eddies have a structure similar to the observed Madden-Julian Oscillation (MJO). The model's MJO …

Observational Evidence That Agricultural Intensification And Land Use Change May Be Reducing The Indian Summer Monsoon Rainfall, Dev Niyogi, Chandra Kishtawal, Shivam Tripathi, Rao S. Govindaraju

Department of Earth, Atmospheric, and Planetary Sciences Faculty Publications

No abstract provided.

Performance Domain Of Multiple-Split Air Conditioning System, Wenxing Shi, Wei Zhao, Baolong Wang, Xianting Li

International Refrigeration and Air Conditioning Conference

No abstract provided.

Additive Factors And Stages Of Mental Processes In Task Networks., Richard Schweickert, Donald L. Fisher, William M. Goldstein

Department of Psychological Sciences Faculty Publications

To perform a task a subject executes mental processes. An experimental manipulation, such as a change in stimulus intensity, is said to selectively influence a process if it changes the duration of that process leaving other process durations unchanged. For random process durations a definition of a factor selectively influencing a process by increments is given in terms of stochastic dominance (also called “the usual stochastic order”. A technique for analyzing reaction times, Sternberg's Additive Factor Method, assumes all the processes are in series. When all processes are in series, each process is called a stage. With the Additive Factor …

Develop Sonic Infrared Imaging Nde For Local Damage Assessment In Civil Structures, Qi He

Wayne State University Dissertations

Nondestructive Evaluation (NDE) is an interdisciplinary field of study, which is concerned with the development of analysis techniques and measurement technologies for the quantitative characterization of materials, tissues and structures. Ultrasonic IR Imaging is a novel NDE technique, which combines a short ultrasonic pulse excitation and infrared imaging to detect defects in materials and structures. In this technique, a sound pulse with a frequency in the range of 20-40kHz is infused on a target material for a short duration (usually less than one second). The sonic/ultrasonic sound waves travel into the material and cause rubbing and clapping between the surfaces …

Robotic Goal-Based Semi-Autonomous Algorithms Improve Remote Operator Performance, Shawn Hunt

Wayne State University Dissertations

The focus of this research was to determine if reliable goal-based semi-autonomous algorithms are able to improve remote operator performance or not. Two semi-autonomous algorithms were examined: visual servoing and visual dead reckoning. Visual servoing uses computer vision techniques to generate movement commands while using internal properties of the camera combined with sensor data that tell the robot its current position based on its previous position. This research shows that the semi-autonomous algorithms developed increased performance in a measurable way. An analysis of tracking algorithms for visual servoing was conducted and tracking algorithms were enhanced to make them as robust …

Detection Statistics Of Multiple-Pulse Optical Signals Through Atmospheric Turbulence, Jacob C. Brandenburg

Wayne State University Dissertations

Statistics are studied for signal detection in optical communication systems operating through the atmosphere. Optical communication systems with which this study is concerned are those that employ intensity modulation and direct detection. Atmospheric turbulence, which is fluctuations in the atmosphere's optical index of refraction, is a hindrance to optical wireless communications because of the signal fades, called scintillation, it causes at the optical receiver. In order to mitigate the deteriorative effect of turbulence on the communications system, the signal length and detection threshold for the signal detector must be properly chosen.

In this study, mathematical models for photoelectron generation in …

Dealing With Misbehavior In Distributed Systems: A Game-Theoretic Approach, Nandan Garg

Wayne State University Dissertations

Most distributed systems comprise autonomous entities interacting with each other to achieve their objectives. These entities behave selfishly when making decisions. This behavior may result in strategical manipulation of the protocols thus jeopardizing the system wide goals. Micro-economics and game theory provides suitable tools to model such interactions. We use game theory to model and study three specific problems in distributed systems. We study the problem of sharing the cost of multicast transmissions and develop mechanisms to prevent cheating in such settings. We study the problem of antisocial behavior in a scheduling mechanism based on the second price sealed bid …

The Social Perceptions And Attitudes Held By African American Males Who Participated In A Self-Contained Special Education Middle School Program For Three Years And Dropped Out Of High School After The Ninth Grade, Sherrell Linnette Hobbs

Wayne State University Dissertations

ABSTRACT

THE SOCIAL PERCEPTIONS AND ATTITUDES HELD BY AFRICAN AMERICAN MALES WHO PARTICIPATED IN A SELF-CONTAINED SPECIAL EDUCATION MIDDLE SCHOOL PROGRAM FOR THREE YEARS AND DROPPED OUT OF HIGH SCHOOL AFTER THE NINTH GRADE

by

SHERRELL HOBBS

December 2010

Advisor: Dr. Marshall Zumberg

Major: Special Education

Degree: Doctor of philosophy

There are two parts to socialization, informal and formal. In the United States, informal lessons of socialization come from a child's primary caretaker(s). Imagine a child growing up in this informal setting only to see the world from one perspective through that unique experience. Later the child goes into a …

Unified Role Assignment Framework For Wireless Sensor Networks, Manish Mahendra Kumar Kochhal

Wayne State University Dissertations

Wireless sensor networks are made possible by the continuing improvements in embedded sensor, VLSI, and wireless radio technologies. Currently, one of the important challenges in sensor networks is the design of a systematic network management framework that allows localized and collaborative resource control uniformly across all application services such as sensing, monitoring, tracking, data aggregation, and routing.

The research in wireless sensor networks is currently oriented toward a cross-layer network abstraction that supports appropriate fine or course grained resource controls for energy efficiency. In that regard, we have designed a unified role-based service paradigm for wireless sensor networks. We pursue …

Clustering-Based Pre-Processing Approaches To Improve Similarity Join Techniques, Yufen Tan

Wayne State University Dissertations

Research on similarity join techniques is becoming one of the growing practical areas for study, especially with the increasing E-availability of vast amounts of digital data from more and more source systems. This research is focused on pre-processing clustering-based techniques to improve existing similarity join approaches.

Identifying and extracting the same real-world entities from different data sources is still a big challenge and a significant task in the digital information era. Dissimilar extracts may indeed represent the same real-world entity because of inconsistent values and naming conventions, incorrect or missing data values, or incomplete information. Therefore discovering efficient and accurate …

The Fourier Spectrum Element Method For Vibration And Power Flow Analysis Of Complex Dynamic Systems, Hongan Xu

Wayne State University Dissertations

A general numerical method, the so-called Fourier-Space Element Method (FSEM), is proposed for the vibration and power flow analyses of complex built-up structures. In a FSEM model, a complex structure is considered as a number of interconnected basic structural elements such as beams and plates. The essence of this method is to invariably express each of displacement functions as an improved Fourier series which consists of a standard Fourier cosine series plus several supplementary series/functions used to ensure and improve the uniform convergence of the series representation. Thus, the series expansions of the displacement functions and their relevant derivatives are …

Rasch Modeling: Computer Assistive Technology In A High School Special Education Classroom, Frances Marie Dolley

Wayne State University Dissertations

The Rasch model was used to determine the ability of a small sample of students with learning disabilities to answer study guide questions when using assistive technology in a high school U.S. history class. The Rasch model was also used to estimate the quality of the study guide questions. The Rasch model was effective in analyzing the study guide questions. The study concluded that students with the lowest reading levels did not have the lowest ability to answer the study guide questions when using computer speech technology. An additional analysis suggested that the use of computer speech technology improved the …

Localized Feature Selection For Unsupervised Learning, Yuanhong Li

Wayne State University Dissertations

Clustering is the unsupervised classification of data objects into different groups (clusters) such that objects in one group are similar together and dissimilar from another group. Feature selection for unsupervised learning is a technique that chooses the best feature subset for clustering. In general, unsupervised feature selection algorithms conduct feature selection in a global sense by producing a common feature subset for all the clusters. This, however, can be invalid in clustering practice, where the local intrinsic property of data matters more, which implies that localized feature selection is more desirable.

In this dissertation, we focus on cluster-wise feature selection …

Scientific Workflow Integration For Services Computing, Cui Lin

Wayne State University Dissertations

In recent years, significant scientific advances are increasingly achieved through complex scientific processes. As the exponential growth in computing technologies and scientific data, a scientific workflow may comprise a large number of heterogeneous scientific services and applications, provided by different organizations. These services, applications, and their associated data are usually distributed across heterogeneous computing environments. The integration and management of such scientific workflows are pushing the limits of current workflow technology. This dissertation presents an integrated solution to composing, scheduling, executing and developing scientific workflows and scientific workflow management systems.

To provide a foundation for workflow composition, scheduling, execution and …

Climate Control Of Terrestrial Carbon Exchange Across Biomes And Continents, Chuixiang Yi, Daniel Ricciuto, Runze Li, John Wolbeck, Xiyan Xu, Mats Nilsson, Luis Aires, John D. Albertson, Christof Ammann, M Altaf Arain, Alessandro C. De Araujo, Marc Aubinet, Mika Aurela, Zoltan Barcza, Alan Barr, Paul Berbigier, Jason Beringer, Christian Bernhofer, Andrew T. Black, Paul V. Bolstad, Fred C. Bosveld, Mark S J Broadmeadow, Nina Buchmann, Sean P. Burns, Pierre Cellier, Jingming Chen, Jiquan Chen, Philippe Ciais, Robert Clement, Bruce D. Cook, Peter S. Curtis, D Bryan Dail, Ebba Dellwik, Nicolas Delpierre, Ankur R. Desai, Sabina Dore, Danilo Dragoni, Bert G. Drake, Eric Dufrêne, Allison Dunn, Jan Elbers, Werner Eugster, Matthias Falk, Christian Feigenwinter, Lawrence B. Flanagan, Thomas Foken, John Frank, Juerg Fuhrer, Damiano Gianelle, Allen Goldstein, Mike Goulden, Andre Granier, Thomas Grünwald, Lianhong Gu, Haiqiang Guo, Albin Hammerle, Shijie Han, Niall P. Hanan, László Haszpra, Bernard Heinesch, Carole Helfter, Dimmie Hendriks, Lindsay B. Hutley, Andreas Ibrom, Cor Jacobs, Torbjörn Johansson, Marjan Jongen, Gabriel Katul, Gerard Kiely, Katja Klumpp, Alexander Knohl, Thomas Kolb, Werner L. Kutsch, Peter Lafleur, Tuomas Laurila, Ray Leuning, Anders Lindroth, Heping Liu, Benjamin Loubet, Giovanni Manca, Michal Marek, Hank A. Margolis, Timothy A. Martin, William J. Massman, Roser Matamala, Giorgio Matteucci, Harry Mccaughey, Lutz Merbold, Tilden Meyers, Mirco Migliavacca, Franco Miglietta, Laurent Misson, Meelis Mölder, John Moncrieff, Russell K. Monson, Leonardo Montagnani, Mario Montes-Helu, Eddy Moors, Christine Moureaux, Mukufute M. Mukelabai, J William Munger, May Myklebust, Zoltán Nagy, Asko Noormets, Walter Oechel, Ram Oren, Stephen G. Pallardy, Kyaw Tha Paw U, João S. Pereira, Kim Pilegaard, Krisztina Pintér, Casimiro Pio, Gabriel Pita, Thomas L. Powell, Serge Rambal, James T. Randerson, Celso Von Randow, Corinna Rebmann, Janne Rinne, Federica Rossi, Nigel Roulet, Ronald J. Ryel, Jorgen Sagerfors, Nobuko Saigusa, María José Sanz, Giuseppe-Scarascia Mugnozza, Hans Peter Schmid, Guenther Seufert, Mario Siqueira, Jean-François Soussana, Gregory Starr, Mark A. Sutton, John Tenhunen, Zoltán Tuba, Juha-Pekka Tuovinen, Riccardo Valentini, Christoph S. Vogel, Jingxin Wang, Shaoqiang Wang, Weiguo Wang, Lisa R. Welp, Xuefa Wen, Sonia Wharton, Matthew Wilkinson, Christopher A. Williams, Georg Wohlfahrt, Susumu Yamamoto, Guirui Yu, Roberto Zampedri, Bin Zhao, Xinquan Zhao

Publications and Research

No abstract provided.