Systems Research and Education

Author(s):  
J. McIntyre-Mills
Author(s):  
Alison Flatau ◽  
Usha Varshney ◽  
Peter Chang

Advances in MEMs, wireless, information technology and other enabling technologies are leading to new sensor system functionality and access to more accurate data and information than heretofore realizable. These advances are crucial for realizing the full potential of the on-going transition from data-poor to data-rich and information-poor to information-rich science and engineering practices. With decreases in size and cost of sensors resulting from advances in microsystem technologies, ubiquitous sensing is becoming both physically realizable and economically feasible. New developments in sensed-information technologies offer the promise of novel insights and advances in areas that have previously lacked the technology base for acquiring high resolution and highly specific assessments of state (biologic, chemical, physical, optical, etc.). Increased research and education are needed in new technologies addressing research issues relating to new hardware and software for efficient acquisition of data and information, and in new decision and control theory as tools for managing and using available data and information. New sensor system functionality will be realized through countless different design concepts. This paper examines some of the needs, opportunities, and trends for research and education in the area of sensed-information and sensor systems research.


2011 ◽  
Vol 26 (1) ◽  
pp. 12-19 ◽  
Author(s):  
Ray Daniel Zimmerman ◽  
Carlos Edmundo Murillo-Sanchez ◽  
Robert John Thomas

Author(s):  
Farbod Khoshnoud ◽  
Ibrahim I. Esat ◽  
Richard H. C. Bonser ◽  
Clarence W. de Silva ◽  
Michael M. McKerns ◽  
...  

Animals are products of nature and have evolved over millions of years to perform better in their activities. Engineering research and development can benefit greatly by looking into nature and finding engineering solutions by learning from animals’ evolution and biological systems. Another relevant factor in the present context is highlighted by the statement of the Nobel laureate Richard Smalley: “Energy is the single most important problem facing humanity today.” This paper focuses on how the research and education in the area of Dynamic Systems can be geared towards these two considerations. In particular, recent advances in self-powered dynamic systems and bio-inspired dynamic systems are highlighted. Self-powered dynamic systems benefit by capturing wasted energy in a dynamic system and converting it into useful energy in the mode of a regenerative system, possibly in conjunction with renewable energies. Examples of solar-powered vehicles, regenerative vibration control, and energy harvesting are presented in the paper. Particularly, development of solar-powered quadrotor, octocopter, and tricopter airships are presented, a self-powered vibration control of a mass-spring system using electromagnetic actuators/generators, and piezoelectric flutter energy harvesting using bi-stable material are discussed. As examples of bioinspired dynamic systems, flapping wing flying robots, vertical axis wind turbines inspired by fish schooling, propulsion inspired by jellyfish, and Psi Intelligent Control are given. In particular, various design and developments of bird-inspired and insect-inspired flapping wings with the piezoelectric and electromagnetic actuation mechanisms, a scaled vertical axis wind turbine farm consist of 4 turbines and the corresponding wind tunnel testing, jellyfish-inspired pulsing jet and experimenting the increase in efficiency of energy consumption, and a multi-agent/robotic based predictive control scheme inspired by Psi precognition (event or state not yet experienced). Examples of student projects and research carried out at Brunel University and the experimental rigs built (in all the mentioned areas) are discussed, as an integrated research and educational activity. For the analysis and understanding of the behavior of self-powered and bio-inspired systems, Optimal Uncertainty Quantification (OUQ) is used. OUQ establishes a unified analysis framework in obtaining optimized solutions of the dynamic systems responses, which takes into account uncertainties and incomplete information in the simulation of these systems.


2011 ◽  
Vol 1 (1) ◽  
pp. 1-28 ◽  
Author(s):  
Jean-Pierre Unger ◽  
Pierre De Paepe ◽  
Patrick Van Dessel ◽  
Alicia Stolkiner

This paper aims at offering alternative methodological perspectives in health systems research, to produce critical, theoretical knowledge in domains such as health policy and management of health care, organization of disease control, political economy of health and medical practice.We first examined the reasons to believe that worldwide economic agents have driven publicly funded schools of public health to adopt their preferred policies and to orient their priority research topics. We then studied whether this hidden leadership has also contributed to shape research methodologies, which we contrasted with the epistemological consequences of a quest for intellectual independence, that is, the researcher’s quest to critically understand the state of health systems and generalize results of related action-research. To do so, we applied concepts of what could be named the ‘French School of Critical Sociology’ to qualitative research methodologies in descriptive health systems research. To do so, we applied concepts of what could be named the ‘French School of Critical Sociology’ to qualitative research methodologies in descriptive health systems research.


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