Diversified Technologies (United States)

This article examines the transformative impact of cloud computing on personalized learning in education, exploring how cloud-based technologies are reshaping educational paradigms. Through a comprehensive analysis of adaptive learning platforms, real-time feedback systems, and learning analytics, we demonstrate how cloud computing facilitates tailored educational experiences. The article addresses key challenges in education, including accessibility, resource allocation, and costeffectiveness, showcasing cloud-based solutions that enhance collaboration and inclusivity. We explore the evolution of teaching and learning tools, from virtual classrooms to interactive content delivery, and their role in improving student outcomes through early intervention systems and engagement-enhancing techniques. The global reach and scalability of cloud-based education are examined, highlighting its potential for cross-border learning and ability to meet fluctuating demands. Our findings indicate that cloud computing is not merely a technological advancement but a fundamental shift in educational methodology, offering unprecedented opportunities for personalized, efficient, and globally accessible learning experiences. This article contributes to the growing body of knowledge on educational technology and provides insights for educators, institutions, and policymakers seeking to leverage cloud computing for educational excellence.

This study investigates the capture of digital data and the development of models for structures with incomplete documentation and plans. LiDAR technology is utilized to obtain the point clouds of a pedestrian bridge structure. Two different point clouds with varying densities, (i) fine (11 collection locations) and (ii) coarse (4 collection locations), collected via terrestrial LiDAR, are analyzed to generate geometry and structural sections. This geometry is compared to the structural plans, which are then converted into numerical models (finite element—FE model) based on the point cloud data. Point cloud-based FE models (based on fine and coarse data) are compared with the structural plan-based FE model. It is observed that the static and dynamic responses are comparable within an acceptable range of a maximum difference of 5.5% for static deformation and an 8.23% frequency difference, with an average difference of less than 5%. Additionally, the dynamic properties of the fine and coarse point cloud FE models are compared with the operational modal analysis data obtained from the bridge. The fine and course point-cloud-based FE models, without model calibration, achieve an average accuracy of 8.76% and 9.94% for natural frequencies and a 0.89 modal assurance criterion value. The research found that the digital data generation yields promising results in this case for a bridge if documentation or plans are unavailable. With recent technologies and approaches such as digital twins, the connection between physical and virtual entities needs to be established by fusing digital models, sensorial information, and other data forms for better infrastructure management. Models such as those investigated and discussed in this paper can assist engineers with structural preservation in conjunction with monitoring data and utilization for digital twins.

U.S. Navy ships need more electric power for increased capability, automation, mobility, lethality, and they need increased operating efficiency for reduced fuel costs. This is motivating the adoption of Direct Current power distribution systems. The voltage range is from 1 kV to 12 kV or greater (L VDC to MVDC), and the steady state current range is up to 5 kA. DC circuit breakers operate faster than AC breakers since they circumvent the current zero-crossing requirement of A C breakers. Protective DC switchgear is a key element in a DC power distribution system that provides electric power reliably and cost-effectively, utilizing more efficient, high-power sources, energy storage, and transmission. For over 25 years, Diversified Technologies Inc (DTI) has been designing and building high-voltage DC circuit breakers capable of multi-kA switching at voltages up to and greater than 100 kV. DTI has shipped and qualified for military applications hundreds of systems. These switches are well-suited for shipboard DC circuit breaker applications. This paper describes on-going hybrid and solid state circuit breaker development at DTI.

Diversified Technologies, Inc. (DTI) in collaboration with Dynetics Technical Solutions (DTS) has developed and installed a high power X-Band Transmitter into a new radar. The transmitter uses a CPI high power broadband TWT and is integrated with a dish antenna. This presentation gives an overview of the transmitter design and construction.

Diversified Technologies, Inc. (DTI) recently delivered an Integrated Klystron Test Stand for klystrons under development at the Naval Research Laboratory (NRL) and Communication and Power Industries, Inc. (CPI). The test stand provides an HV beam and depressed collector power supplies, mod-anode modulator, controls, and circuit /klystron protection. The Integrated Klystron Test Stand simplifies and speeds the ability of the user to safely and efficiently test and exercise the klystron over the full range of its capabilities.

Preventing Chronic Disease (PCD) is a peer-reviewed electronic journal established by the National Center for Chronic Disease Prevention and Health Promotion. PCD provides an open exchange of information and knowledge among researchers, practitioners, policy makers, and others who strive to improve the health of the public through chronic disease prevention.

Diversified Technologies, Inc. (DTI) is building three long pulse solid-state klystron transmitters to meet spallation source requirements. Two of the three will be installed at CEA Saclay and the National Institute of Nuclear and Particle Physics (IN2P3) in 2015, to be used as test stands for the European Spallation Source (ESS), The third system will be installed at Oak Ridge National Laboratory (ORNL) for the Spallation Neutron Source (SNS).