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Full-Text Articles in Engineering

Smart Shrinkage: Better Planning And Decision-Making For Legacy Cities, Michael P. Johnson Jr. Oct 2019

Smart Shrinkage: Better Planning And Decision-Making For Legacy Cities, Michael P. Johnson Jr.

Michael P. Johnson

Neighborhoods, cities and regions facing long-term declines in population and economic activity may consider alternative responses, such as revitalization, regeneration, shrinkage and abandonment. In this presentation I show that planning decisions intended to improve quality of life, informed by qualitative and quantitative data and analytic methods, implemented through accessible and affordable technologies, and based on notions of social impact and social justice, can enable residents to play a leading role in the positive transformation of shrinking cities and
distressed communities.


Informs Seattle Dei Final 191020.Pdf, Michael P. Johnson Jr. Oct 2019

Informs Seattle Dei Final 191020.Pdf, Michael P. Johnson Jr.

Michael P. Johnson

Scholarly research on diversity, equity and inclusion (DEI) in the decision sciences is largely concentrated in areas of management and organization design. However, DEI is relevant to other domains of inquiry, and can be understood in terms other than economic efficiency and organization effectiveness. I discuss what a research agenda in decision sciences would look like if DEI, and a focus on social costs and benefits and social justice were central to this work. Examples to be discussed include: the new economy, climate resilience and disaster response, and human services.


Learning Streams: A Case Study In Curriculum Integration, Mani Mina, Arun K. Somani, Akhilesh Tyagi, Diane T. Rover, Matthew Feldmann, Mack C. Shelley Oct 2019

Learning Streams: A Case Study In Curriculum Integration, Mani Mina, Arun K. Somani, Akhilesh Tyagi, Diane T. Rover, Matthew Feldmann, Mack C. Shelley

Diane Rover

During 2004-2005, the Departments of Electrical and Computer Engineering and Mechanical Engineering at Iowa State University in collaboration with educational colleagues in the Research Institute for Studies in Education piloted a new curricula model to improve student learning through vertical integration of educational activities using new program structures. We offered an experimental course sequence during Fall 2004 and Spring 2005, defined as a “learning stream.” A learning stream is a basic element of a novel program structure designed specifically to vertically integrate subject matter across courses. A learning stream merges and re-organizes material to more effectively present and reinforce key …


Work In Progress - Preparation Creating Effective Faculty Of Engineering: A Technological Literacy Approach, Mani Mina, Diane T. Rover, Mack C. Shelley Oct 2019

Work In Progress - Preparation Creating Effective Faculty Of Engineering: A Technological Literacy Approach, Mani Mina, Diane T. Rover, Mack C. Shelley

Diane Rover

This paper reviews the framework and provides new result for the implementation of a new program designed to develop more effective future faculty in engineering. The core of the proposed program will be based on our efforts regarding the recently developed Minor in Engineering Studies (MES). This program will team up effective engineering faculty to train, mentor, and evaluate a select group of graduate students to teach classes in our MES program. The goal is to help the engineering graduate students (the graduate educators) become better communicator and better educators by training non-engineering students in technological literacy classes. This practice …


Forensicloud: An Architecture For Digital Forensic Analysis In The Cloud, Cody Miller, Dae Glendowne, David Dampier, Kendall Blaylock Oct 2019

Forensicloud: An Architecture For Digital Forensic Analysis In The Cloud, Cody Miller, Dae Glendowne, David Dampier, Kendall Blaylock

David Dampier

The amount of data that must be processed in current digital forensic examinations continues to rise. Both the volume and diversity of data are obstacles to the timely completion of forensic investigations. Additionally, some law enforcement agencies do not have the resources to handle cases of even moderate size. To address these issues we have developed an architecture for a cloud-based distributed processing platform we have named Forensicloud. This architecture is designed to reduce the time taken to process digital evidence by leveraging the power of a high performance computing platform and by adapting existing tools to operate within this …


Research Toward A Partially-Automated, And Crime Specific Digital Triage Process Model, Gary Cantrell, David Dampier, Yoginder S. Dandass, Nan Niu, Chris Bogen Sep 2019

Research Toward A Partially-Automated, And Crime Specific Digital Triage Process Model, Gary Cantrell, David Dampier, Yoginder S. Dandass, Nan Niu, Chris Bogen

David Dampier

The digital forensic process as traditionally laid out begins with the collection, duplication, and authentication of every piece of digital media prior to examination. These first three phases of the digital forensic process are by far the most costly. However, complete forensic duplication is standard practice among digital forensic laboratories.

The time it takes to complete these stages is quickly becoming a serious problem. Digital forensic laboratories do not have the resources and time to keep up with the growing demand for digital forensic examinations with the current methodologies. One solution to this problem is the use of pre-examination techniques …


Current Trends In Suas; Implications For U.S. Special Operations Forces., Philip Craiger, Diane M. Zorri Ph.D. Aug 2019

Current Trends In Suas; Implications For U.S. Special Operations Forces., Philip Craiger, Diane M. Zorri Ph.D.

J. Philip Craiger, Ph.D.

This paper assesses current trends in small unmanned aircraft systems (sUAS) technology and its applications to the Special Operations Forces (SOF) community. Of critical concern to SOF is that commercial-off-the-shelf (COTS) sUAS technologies are relatively inexpensive, improving at a dramatic rate, and widely available throughout the world. Insurgents, terrorists, violent extremist organizations (VEOs) and other nefarious actors have used COTS sUAS to conduct offensive attacks as well as to develop battlefield situation awareness; these technological improvements combined with their widespread availability will require enhanced and rapidly adaptive counter-sUAS measures in the future. To understand the most current trends in the …


"Being Mindful" And Becoming A "Harmony Worker" During Unsettling Times.Docx Aug 2019

"Being Mindful" And Becoming A "Harmony Worker" During Unsettling Times.Docx

Carroy U "Cuf" Ferguson, Ph.D.

Let us be mindful of our individual and collective past in order to learn what works and does not work for our individual and collective Well Being.
Let us seek and find ways to experience Joy as a way "to be" in the present for our individual and collective Well Being.
And, let us create and implement Visions for evolving our consciousness in ways that can sustain our individual and collective Well Being.


Shining A Humanistic Light On Racism.Docx Jul 2019

Shining A Humanistic Light On Racism.Docx

Carroy U "Cuf" Ferguson, Ph.D.

On July 14, 2019, race-linked tweets, filled with racially charged negative rhetoric, began to emerge for a country, the United States, to grapple once more with its past, present, and future.  The tweets were directed toward four duly elected women of color in Congress.  In this light, the phenomenon of racism, yet again, was abruptly made more overt, rather than covert.  Indeed, it is fair to say that the phenomenon of racism is often an "unconscious or veiled phenomenon" for some. 


Crowdsourcing Image Analysis For Plant Phenomics To Generate Ground Truth Data For Machine Learning, Naihui Zhou, Zachary D. Siegel, Scott Zarecor, Nigel Lee, Darwin A. Campbell, Carson M. Andorf, Dan Nettleton, Carolyn J. Lawrence-Dill, Baskar Ganapathysubramanian, Jonathan W. Kelly, Iddo Friedberg Jun 2019

Crowdsourcing Image Analysis For Plant Phenomics To Generate Ground Truth Data For Machine Learning, Naihui Zhou, Zachary D. Siegel, Scott Zarecor, Nigel Lee, Darwin A. Campbell, Carson M. Andorf, Dan Nettleton, Carolyn J. Lawrence-Dill, Baskar Ganapathysubramanian, Jonathan W. Kelly, Iddo Friedberg

Dan Nettleton

The accuracy of machine learning tasks critically depends on high quality ground truth data. Therefore, in many cases, producing good ground truth data typically involves trained professionals; however, this can be costly in time, effort, and money. Here we explore the use of crowdsourcing to generate a large number of training data of good quality. We explore an image analysis task involving the segmentation of corn tassels from images taken in a field setting. We investigate the accuracy, speed and other quality metrics when this task is performed by students for academic credit, Amazon MTurk workers, and Master Amazon MTurk …


Myth Or Fact: Is Open Source Software More Secure Than Closed Source Software?, Daniel Saffioti, Gene Awyzio, Robert B. K. Brown Apr 2019

Myth Or Fact: Is Open Source Software More Secure Than Closed Source Software?, Daniel Saffioti, Gene Awyzio, Robert B. K. Brown

Associate Professor Daniel F. Saffioti

This paper examines one aspect of quality that organizations look for when selecting software, namely security. Studies over time have indicated that security; scalability, interoperability and flexibility are important however the major issue has always been support. This has led to the sometimes inflexible concept of Standard Operating Environments (SOEs) within organisations. Whilst SOEs provide many benefits to an organisation they can leave them vulnerable to several large security risks. CERT statistics show that security incidents have increased six fold since 2000 [1]. This paper will examine trends in both open and closed software development for a number of platforms …


Decision Science For Community Development And Social Change, Michael P. Johnson Jr. Feb 2019

Decision Science For Community Development And Social Change, Michael P. Johnson Jr.

Michael P. Johnson

Operations research, also known as management science or decision science, is a mathematics-based discipline that draws from engineering, information systems, management, public policy and planning. OR enables individuals and organizations to make better decisions regarding manufacturing and logistics, service provision and strategy design. My particular interest in OR focuses on the needs of mission-driven and resource-constrained organizations that serve urban communities. In my talk I will describe how OR can use qualitative and quantitative analysis through meaningful engagement of communities to enable creative identification, formulation and solution of complex problems for local impact and social justice. Specific applications I'm currently …


Michael Johnson Biography, Michael P. Johnson Jr. Jan 2019

Michael Johnson Biography, Michael P. Johnson Jr.

Michael P. Johnson

No abstract provided.


Community-Focused Problem-Solving With Operations Research And Analytics, Michael P. Johnson Jr. Jan 2019

Community-Focused Problem-Solving With Operations Research And Analytics, Michael P. Johnson Jr.

Michael P. Johnson

In these days of ‘analytics’, ‘big data’ and ‘smart cities’, many of us are aware of the importance of data and quantitative analytic methods for program design, implementation and evaluation. Less commonly-understood are specific tools and methods for community-based interventions in which the problem to be solved is unclear, and the ways in which data of many different kinds can be used to develop interventions that represent best-possible uses of organization and community resources. Moreover, it is also less commonly-understood how to put communities, and community members, near the center of problem-solving and decision-making.

Examples of challenging problems include: How …


Call For Abstracts - Resrb 2019, July 8-9, Wrocław, Poland, Wojciech M. Budzianowski Dec 2018

Call For Abstracts - Resrb 2019, July 8-9, Wrocław, Poland, Wojciech M. Budzianowski

Wojciech Budzianowski

No abstract provided.