The present work reports on experiences gleaned in the application of systemsengineering on a research project whose objective is technology development. The benefits of systemsengineering for system development thr...
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The present work reports on experiences gleaned in the application of systemsengineering on a research project whose objective is technology development. The benefits of systemsengineering for system development throughout the lifecycle are well known. Inclusion of systemsengineering has a measurable and significant beneficial effect on system development project performance measured by costs, schedules, and features implemented. Technology development however differs from product or service-oriented development and the potential systemsengineering for such are unknown. The authors sought to utilize proven MBSE methodologies to aid in a research project for an emerging technology. The project addressed by the present work was a Phase I Small Business Innovative Research Project to determine the feasibility and utility of wireless acoustic power transfer systems in an operational environment. The purpose of this paper therefore is to report on the selection and application of a MBSE methodology for this small-scale technology development program. A summary of the work performed by the MBSE team is given, along with example modeling products and their intended uses. It discusses missteps as well as successes and from its findings proposes additional research to develop a method to evaluate these methodologies based on the nature of the project.
In this paper, we present the systemsengineering Initiative for Student Success (SEISS) framework we are developing for enabling educational organizations to scan, evaluate and transform their operations to achieve t...
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In this paper, we present the systemsengineering Initiative for Student Success (SEISS) framework we are developing for enabling educational organizations to scan, evaluate and transform their operations to achieve their diversity, equity, and inclusion goals in student recruitment, retention, and graduation. The underlying structure and logic in our SEISS framework is that an organization such as a college of engineering is a sociotechnical system (STS) consisting of a social subsystem and a technical subsystem. The social subsystem consists of people, their roles and is a model of who talks to whom about what. The technical subsystem consists of all the activities, programs, policies, and operations that help the organization achieve its goals. In a sociotechnical system, the social and technical subsystems are interdependent in their functioning, and they must be jointly optimized from an organizational design perspective. Our SEISS framework which views a college or a similar organizational unit as a sociotechnical system lends the organizational designer a unique systems lens with which to view, analyze and design the operations and organize the capacities and resources in the college. The systems lens views an organizational unit, its sub-systems, components, and its corresponding capacities not in isolation, but as entities that interact with each other. With support from an NSF IUSE grant, we have been developing the SEISS framework and have piloted the framework in a predominantly white college of engineering to identify existing and potential technical and social system capacities for underrepresented minority (URM) students to succeed in the college. Preliminary results from our qualitative analyses of URM student interviews reveal the utility of the SEISS framework and the STS lens in unearthing the barriers and enablers for these students in the social and technical subsystems in the college. We also model the interactions between the social and techni
Exoskeleton robots are currently widely used in the field of rehabilitation medicine to effectively assist patients with hand function loss in their rehabilitation training. To accommodate the physiological characteri...
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The development of interoperability is more and more an essential task for all kinds of organizations. It needs to be measured, verified, and continuously improved. With the advent of the Internet of Things, Industry ...
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This study investigates how artificial intelligence (AI) can transform audit processes, including how AI can be used in businesses to execute non-technical audit tasks and what effect this will have on those tasks. A ...
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Federated Learning (FL) has emerged as a promising solution to address challenges in traditional machine learning (ML) regarding data privacy and security. However, training federated models in resource-constrained en...
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ISBN:
(数字)9798331522742
ISBN:
(纸本)9798331522759
Federated Learning (FL) has emerged as a promising solution to address challenges in traditional machine learning (ML) regarding data privacy and security. However, training federated models in resource-constrained environments, such as IoT devices, presents challenges due to limited computational resources and complex data. This paper proposes data sampling techniques to optimize federated training in such environments, aiming to reduce training time while maintaining model quality. The study evaluates the impact of data sampling on federated model performance and compares it with traditional approaches. The methodology involves implementing random data selection in client datasets within the context of federated learning and conducting experiments across different configurations to analyze results. The findings provide insights for practical application in real-world scenarios with computational constraints.
Coffee is one of the plantation crops that has long been a cultivated plant in Indonesia. The classification of coffee fruit maturity manually still has several weaknesses and requires a long process, has low accuracy...
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