Seemingly disparate topics are often connected in surprising and important ways. In this talk, I will explore some of these connections, with examples from my current work at the National Science Foundation in the Division of Astronomical Sciences. One of the key scientific goals identified for the upcoming decade as described in The National Academies of Sciences, Engineering and Medicine 2020 Decadal Survey in Astronomy and Astrophysics includes the search for habitable exoplanets, which connects to the broader existential question, “Are we alone in the Universe?” It was this type of big question combined with the beauty of the cosmos and a technical, scientific approach to gathering data that drew me to study astrophysics. Continuing to expand the limits of our knowledge of the Universe and our place in it now requires larger, more complicated telescopes and more innovative ways to “see through the noise”, especially as light pollution and radio noise are increasing.
This presentation was given as part of the WIE Extraordinary Women Series. This talk discusses the role of Human System Engineering (HSE) within the System Engineering (SE) discipline. It describes two HSE initiatives that are enabling better integration of humans and systems. The Human Views comprise a system architecture viewpoint that provides a perspective on the human roles, activities and information flows required by a complex system. The Human Readiness Levels assess the degree to which human-focused requirements are incorporated into design decisions and the readiness of a system to interact with its human operator. Together these two efforts encourage SE for the total system by supporting a comprehensive integration of the human component into the systems engineering effort, which is critical to the design, development, and operation of successful systems.
This presentation was given as part of the WIE Extraordinary Women Series.
This talk discusses the role of Human System Engineering (HSE) within the System Engineering (SE) discipline. It describes two HSE initiatives that are enabling better integration of humans and systems. The Human Views comprise a system architecture viewpoint that provides a perspective on the human roles, activities and information flows required by a complex system. The Human Readiness Levels assess the degree to which human-focused requirements are incorporated into design decisions and the readiness of a system to interact with its human operator. Together these two efforts encourage SE for the total system by supporting a comprehensive integration of the human component into the systems engineering effort, which is critical to the design, development, and operation of successful systems.
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Rear Admiral Aguayo has over thirty years of experience leading engineering and construction organizations as an officer in the United States Navy Civil Engineer Corps. This talk will draw from her experience and lessons learned and focus on how to lead boldly, build learning organizations, and cultivate a culture of excellence. The discussion will use examples from throughout her career to highlight the skills needed to lead organizations of all sizes. It will also highlight major on-going infrastructure projects currently underway in support of the Navy including the multi-billion dollar modernization of the four public shipyards.
Both commercial and military systems are rapidly evolving into complex Systems of Systems (SoS) that incorporate advanced technologies, such as Machine Learning (ML) and Artificial Intelligence (AI). Associated with these systems are emerging behaviors that require decision support beyond the capacity of human reasoning alone. The field of Data Analytics provides methodologies to assist human decision-making with respect to complex SoS.
Data analytics is the science of analyzing raw data in order to make conclusions about the information derived from it. In fact, many data analytics methods have been designed to autonomously transform raw data into information for human consumption. This information can then be used to optimize processes and increase the overall efficiency of a business or system. The data analytics process includes the following steps:
Data analytics is broken down into four basic types: Descriptive analytics describes what has happened over a given time period; Diagnostic analytics focuses on why something happened; Predictive analytics describes what is likely going to happen in the near term; Prescriptive analytics suggests a course of action. Data analytics assist human decision-making for quality control systems in the financial world. The retail industry also uses data analytics to meet the ever-changing demands of shoppers. The travel and hospitality industries have also adopted data analytics to assist with human decision-making where quick response times are critical. Likewise, the healthcare industry applies data analytics to assist doctors and nurses with time-critical decisions on which life and death depend
This presentation provides an in-depth review of the concept of “Data Analytics” methods, such as data analysis, data fusion, data storage, data sources, infrastructure and technology, screening and filtering algorithms, machine learning, and complexity; and it discusses how each of these assists human decision making. The presentation then describes specific commercial and military use cases where these methods can assist human decision-making. These use cases include:
In summary, the audience will emerge from this presentation with a focused understanding of data analytics principles and, through the examples from 6 use cases, how these principles can be applied to assist humans in making decisions for complex SoS.
Traditional supervised classifications for remote sensing-based water quality monitoring count on a set of classifiers to retrieve features and improve their prediction accuracies based on ground truth samples. However, many existing feature extraction methods are unable to exhibit multiple-instance nonlinear spatial pattern recognition at scales via ensemble learning in remote sensing. This paper designed for lake algal bloom monitoring presents intelligent feature extraction for harmonizing local and global features via tensor flow-based ensemble learning with integrated biomimetic and computational intelligence. To explore such complexity, an Integrated Biomimetic and Ensemble Learning Algorithm (IBELA) was developed to synthesize the contribution from different classifiers associated with the biomimetic philosophy of integrated bands. It leads to strengthened multiple-instance spatial pattern recognition in lake algal bloom monitoring via image fusion at the decision level. With the implementation of IBELA, a case study of a eutrophic freshwater lake, Lake Managua, for water quality monitoring leads to demonstrate six input visual senses showing different impacts on retrieving Chl-a concentrations in the dry and wet season, respectively. The input of total nitrogen from the watershed plays the most important role in water quality variations in both seasons in a watershed-based food–water nexus. Although ultraviolet and microwave bands are important in the dry season, Secchi disk depth is critical in the wet season for water quality monitoring.
The theory, analysis, design, tools, and implementation of circuits and systems. The field spans their theoretical foundations, applications, and architectures, as well as circuits and systems implementation of algorithms for signal and information processing.
The IEEE Communications Society promotes the advancement of science, technology and applications in communications and related disciplines. It fosters presentation and exchange of information among its members and the technical community throughout the world. The Society maintains the highest standard of professionalism and technical competency.
The field of Interest of the Society shall be the theory, design, and application of control systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems.
The field of interest of the Consumer Technology Society is the interdisciplinary technologies, applications, manufacturing, and standards for products, services, systems, and architectures for consumers.
Focuses cover the global design, development, application, and management of electrical and electronic systems, apparatuses, devices, and controls for safe, reliable, and economical processes and equipment of industrial and commercial installations. The Society sponsors a variety of conferences and meetings annually.
The Industrial Electronics Society through its members encompasses a diverse range of technical activities devoted to the application of electronics and electrical sciences for the enhancement of industrial and manufacturing processes. These technical activities address the latest developments in intelligent and computer control systems, robotics, factory communications and automation, flexible manufacturing, data acquisition and signal processing, vision systems, and power electronics. The Society continually updates its program of technical activities to meet the needs of modern industry.
The field of interest of the society shall be "microwave theory, techniques and applications" of RF, microwave, guided wave, and wireless technologies, as they relate to components, devices, circuits, transmission lines, and systems involving the generation, modulation, demodulation, control, transmission, detection and effects of electromagnetic signals. It shall include scientific, technical, and industrial activities. Microwave Theory and Techniques applies physical and mathematical principles to analyze structures with dimensions representing a significant fraction of a wavelength or when propagation effects need to be considered.
The field of interest of the IEEE Society on Social Implications of Technology is to facilitate understanding of the complex interaction between technology, science and society, its impact on individuals and society in general, professional and social responsibility in the practice of engineering, science, and technology, and open discussion on the resulting issues.
The field of interest of the TEMS encompasses the management sciences and practices required for defining, implementing, and managing engineering and technology. Specific topics of interest include but are not limited to: technology policy development, assessment, and transfer; research; product design and development; manufacturing operations; innovation and entrepreneurship; program and project management; strategy; education and training; organizational development and human behavior; transitioning to management; and the socioeconomic impact of engineering and technology management.
VTS focuses on land, airborne, and maritime mobile and portable communications services; vehicular electro-technology, automotive industry equipment and systems; and traction power, signals, communications, and control systems.
Imagine a society that solves problems and creates value instead of leveraging economies of scale; a society where diversity is celebrated; a society where equal opportunities exist for everyone and not just a small concentration of elites; a society where people can confidently live and pursue ambitions without an of constant fear of vulnerability; a society where humankind lives in harmony with nature instead of placing high stress on the environment due to mass consumption of resources. This is Society 5.0 as defined by Japan at the 2019 World Economic Forum. The push towards new societal paradigms will be driven by rapid digital transformation in many aspects of our everyday lives including financial transactions, industrial structure, private life and public administration. For instance, the growing usage of AI and blockchain technology have placed all sectors at global inflection points. Already, parts of the financial industry are exploring how blockchain and AI technology can improve customer experience, reduce expenses, enhance compliance efforts and help companies increase revenue by helping them expand into new markets. Eventually, the decentralized AI Blockchain may even render many existing financial services obsolete.
