Week 1: January 28, 2013.
Mary Meeker, Internet Trends , D10 Conference, 2012.
Week 2: February 4, 2012
Week 3: February 11, 2012
Week 4: February 18, 2012
During the next 35-40 years the World's population will most likely increase from 7 billion people today to something in the 9-10 billion range. And by 2050, approximately 90% of the US population will live in urban areas. Together these trends will place demands on urban area resources that are far greater than anything we need to deal with today. Solutions to this problem are far from trivial. Even if one overlooks that fact that many of todays large urban areas are financially challenged and defined by ageing infrastructures, additional demands on resources -- transportation, water, power, communication, security, education -- may be beyond our ability to be satisfied. To avoid frequent failures in urban networks, in the future we will need to be much smarter in the way resources are produced and consumed and managed.
Position Paper: Systems Engineering for Smart City Solutions
Develop a position paper (i.e., a preliminary proposal that you might submit to a company like Siemens or IBM for funding ) that describes your ideas for how engineers can use a combination of sensing, data gathering, and graph-based models to capture the structure and behavior of smart city systems. The long-term objective should be development of new methodologies and tools for the real-time behavior assessment and management of cities.
A carefully crafted paper will need to: (1) address the needs of a smart city mayor who knows nothing about systems engineering, but realises that the problems he/she faces will require new types of solutions, and (2) convince a systems engineering professional that you have the skills and knowledge to builds models of complex urban environments to address the mayor's concerns. I suggest that you take care of item (1) in the introduction to your position paper, and item (2) in the body of paper. Your paper should include examples for how models of requirements, system structure, system behavior, and measures of effectiveness will be developed for smart cities.
Teams: 2-4 people.
Due Date: March 25.
Expected length: 10 pages for a 2 person team;
13 pages for a 3 person team; 15 pages for a 4 person team.
Grading:
Problem statement (5 pts);
Description of models for system structure and behavior (5 pts);
Modeling examples (5 pts);
Overall novelty of ideas (5 pts).
Note:
Two-person teams can focus on one aspect of smart city management.
Three- and four-person teams must include details examples of models
that span multiple domains and/or evolve over time.
All papers must be well written, and include a table of contents
and bibliography of references.
Week 5: February 25, 2012
Title: Multi-Scale Informatics: Connecting the Dots in Complex Reaction Modeling from Electrons to Engines
Week 5: March 4, 2012
Week 6: March 11, 2012
Week 7: March 18, 2012
Week 8: March 25, 2012
Note. This presentation lays out the challenges DARPA faces in
the design of complex aircraft systems in a timely manner.
It also makes the case the present-day design workflows are unsustainable.
Week 9: April 1, 2012
Title: Design, Specification, and Synthesis of Aircraft Electric Power Systems
Abstract: Substantial research challenges exist in the design and verification of large-scale, complex, distributed sensing, actuation, and control systems. This talk will focus on ways to design a system topology, formally and automatically specify requirements, and synthesize reactive control protocols using an aircraft electric power system as a representative application area.
Rapidly improving technology and recent advances in control theory, networked systems, and computer science give us the opportunity to drastically improve our approach to integrated flow of information and cooperative behavior. Current systems rely on text-based specifications and manual design. Using new technology advances, we can create easier, more efficient, and cheaper ways of developing these control systems.
Week 10: April 8, 2012
Title: Toward Smart Cities: Uncertainty Management for Complex Systems of Systems
Abstract: Today, cities are under extreme stress due to their growing population and ageing infrastructure. To alleviate this stress, a more efficient and sustainable management of urban systems is needed. To this end, the myriad of Big Data from sensors and mobile devices together with efficient computational tools can help improve our descriptive and predictive capacities and subsequently materialize the idea of Smart Cities. A true Smart City requires coordinating social systems, transportation networks, and water and electricity distribution systems. In this presentation, I will focus on the systems-of-systems approach for the management of Smart Cities, and describe our research contributions to the uncertainty management of these systems of systems. First, I will discuss the representation of the uncertainties in the study of systems of systems. These uncertainties can incur from inaccurate input-output models, erroneous mathematical approximations, and data incompleteness. As an example, I will describe our probabilistic model for Markov transition matrices and its application in multiscale energy demand modeling. Second, I will share our algorithmic development for efficient propagation of these uncertainties through numerical models to obtain random performance metrics. In closing, I will elaborate on how our efforts can enhance decisions related to the robust optimal management of Smart Cities as complex systems of systems.
Week 11: April 15, 2012
Week 12: April 22, 2012
Six groups will be randomly selected to present from:
[ Project 1 ]: Sensing Skin for Robotics
[ Project 2 ]: Object-Based Model Development of a United States Airport System
[ Project 3 ]: Robots Playing Soccer (RoboCup Middle Size League)
[ Project 4 ]: A Commercial Distribution System of Railroad Vehicle Generated Power
[ Project 5 ]: Modeling City Connectedness and Behavior with Hyper-Networks
[ Project 6 ]: Modeling Baseball with Hypernetworks and Hypergraphs
[ Project 7 ]: Autonomous Decentralized Traffic Management of High-Density Railway Systems
[ Project 8 ]: System Level Design of Pedestrian Protection System for SUVs/Trucks
[ Project 9 ]: Vibration Diagnostics System for Rotary MEMS
[ Project 10 ]: The Home Depot Navigator (In-Store Mobile Application)
Please limit your presentation to a maximum of 15 slides.
Please e-mail a copy of your presentation to Mark Austin, even if your group is not selected to present.
Week 13: April 29, 2012
Six groups will be randomly selected to present from:
[ Project 11 ]: Energy Harvesting System for Wireless Sensor Network (WSN)
[ Project 12 ]: System-Level Design of an Enhanced Hybrid Battery/Ultracapacitor Energy Storage System
[ Project 13 ]: Requirements Ontology
[ Project 14 ]: System-Level Modeling of Secondary Wastewater Treatment Processes
[ Project 15 ]: Integrating Component Prognostic Health
Management (PHM) with Models of Logistics Systems
[ Project 16 ]: Design of a Mass-Marketable Green Single-Person Vehicle
[ Project 17 ]: Demand-Response Control Strategies for Smart Building
HVAC Systems through Executable Diagrams
[ Project 18 ]: Platform for Personalized Heart-Failure Healthcare Using Body Sensor Networks
[ Project 19 ]: Frugal Integration: Minimalism in Model Based Systems Engineering
Please limit your presentation to a maximum of 15 slides.
Please e-mail a copy of your presentation to Mark Austin, even if your group is not selected to present.
Week 14: May 6, 2012
Last Modified: April 22, 2013,
Copyright © 2013, Institute for Systems Research, University of Maryland.