10 MARCH 2023 at 10:00 AM ET

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:

1. Information Collection Architecture (ICA)
2. Multifactor Information Distributed Analytics Technology Aide (MiData)
3. Mission Information Autonomous Intelligent Decision Engine (MiAide)
4. MiData Application to Local / Regional / Global Joined Object Recognition (MAJOR)
5. Object Recognition and Detection Enhancement via Reinforcement Learning Yield (ORDERLY) 
6. Self-Healing Course of Action Revision (SCOAR)

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18 APRIL 2023 at 10:00 AM ET

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.

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26 MAY 2023 at 10:00 AM ET

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 has 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.

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12 JUNE 2023 at 10:00 AM ET

This talk will explain how Brain-Machine Interface (BMI) systems can be used for commanding robotic exoskeletons. During the talk, several non-invasive BMIs that have been developed at Miguel Hernandez University of Elche (Spain) to interact with exoskeletons will be described. The first part of the talk will focus on introducing BMI systems. In the second part, two BMIs that allow controlling an upper limb exoskeleton will be explained. Finally, several BMIs that have been developed for commanding lower-limb exoskeletons will be described.

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17 JULY 2023 at 9:00 AM ET

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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27 JULY 2023 at 9:00 AM ET

Artificial light production absorbs around 2 900 TWh corresponding to 13,5% of the world’s electricity annual production in 2019. Even if this quantity is still very high, it should be noticed that till the beginning of 2010s electrical light sources were considered responsible for energy consumption of around 2651 TWh, which represented roughly 19% of the world's total electricity consumption. This tendency suggests the beginning of a harnessing of consumption which can be explained by the increase of light system efficiency when keeping the service level stable (measured in quantity of light). Today, the importance and use of “legacy” lighting technologies are decreasing. During the last decade, SSLs-Solid-State Lighting based on components like LEDs, OLEDs, and LDs, challenges conventional technologies. In particular, LED has turned into a game changer beating conventional technologies in all aspects. It is therefore anticipated that in short term, all of the electric lightings will be based on SSLs. Today, SSLs proceed to the projected conclusion: replacing all legacy technologies, this is a major change in the lighting market that is considered a revolution.

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PART 1: 17 AUGUST 2023 at 10 AM ET

PART 2: 23 AUGUST 2023 at 10 AM ET

Industry 4.0-compliant systems are all Industrial Eco-Systems where components (Assets, Things) have been migrated into digitalized and networked Industrial Cyber-Physical Systems. This means, digitalized and networked assets are nodes of an Internet-based communication and information network. Each of those nodes is able to expose and/or consume digitalized data and information in the form of “services”, for performing new form of application and business based on Industrial Internet of Services Technology (IIoS). The structural and functional interdependences between those digitalized Asset, I4.0 components, Industrial-Internet-of-Things (IIoT) within an Industrial Eco-system are more evident if the “Digitalization process” is formally performed following the DIN Specification 91345 Reference Architecture Model for Industry 4.0 (RAMI4.0).

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13 SEPTEMBER 2023 at 9:00 AM ET

A complex system is characterized by the emergence of global properties, which are very difficult to anticipate just from complete knowledge of component behaviors. Further, advances in technology have made it easy to integrate multiple modern systems to form complex system-of-systems (SoS) to achieve unparalleled levels of functionality that are otherwise not achievable by the constituent systems in isolation. Recently, there is a significant increase in the adoption of data-driven machine learning models in many engineered physical systems, such as cars and drones, and are being used to govern their functionality and behavior. It is critical to ensure that the users of these complex engineered systems can be certain of the behavior and performance of that system. Hence, there is a need for data-driven models to also be physics aware and leverage the same towards achieving enhanced confidence in systems. This presentation discusses some of the recent approaches and challenges towards using machine learning models for predicting the performance and behavior of complex engineered systems. Further, approaches to inculcate adaptable intelligence in constituent systems to adapt their behaviors in the SoS context are also discussed.

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16 OCTOBER 2023 at 1:30 PM ET

Efficient computational methods with proven guarantees are needed to handle the complexity and nonlinearity of many real-world systems. Practitioners often develop heuristic algorithms for specific applications, but the theoretical foundations of these methods are not well understood, which limits their use in safety-critical systems. In this presentation, we will focus on addressing this issue for certain machine learning problems. We will examine methods for certifying the robustness of neural networks against adversarial inputs and investigate when simple local search algorithms can solve a class of nonlinear problems to global optimality. We will present our recent findings on these topics and provide examples of their application in tensor decomposition with outliers and video processing.

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16 NOVEMBER 2023 at 10:00 AM ET

The connectivity of an asymmetric network represented by a weighted digraph is investigated in this work. A novel distributed algorithm based on the subspace consensus approach is introduced to compute the generalized algebraic connectivity as a connectivity measure of asymmetric networks from the viewpoint of each node. After properly transforming the Laplacian matrix of the network, two sequences of one-dimensional and two-dimensional subspaces are generated iteratively by each node in a distributed manner such that one of them converges to the desired subspace spanned by the eigenvector(s) associated with the eigenvalue(s) representing the network’s generalized algebraic connectivity. The convergence analysis of the distributed algorithm is subsequently provided under some assumptions. The efficiency of the developed algorithm in computing the network connectivity is demonstrated by simulations.

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