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Topic Review
Damping Ratio
Damping is an influence within or upon an oscillatory system that has the effect of reducing, restricting or preventing its oscillations. In physical systems, damping is produced by processes that dissipate the energy stored in the oscillation. Examples include viscous drag in mechanical systems, resistance in electronic oscillators, and absorption and scattering of light in optical oscillators. Damping not based on energy loss can be important in other oscillating systems such as those that occur in biological systems and bikes. The damping ratio is a dimensionless measure describing how oscillations in a system decay after a disturbance. Many systems exhibit oscillatory behavior when they are disturbed from their position of static equilibrium. A mass suspended from a spring, for example, might, if pulled and released, bounce up and down. On each bounce, the system tends to return to its equilibrium position, but overshoots it. Sometimes losses (e.g. frictional) damp the system and can cause the oscillations to gradually decay in amplitude towards zero or attenuate. The damping ratio is a measure describing how rapidly the oscillations decay from one bounce to the next. The damping ratio is a system parameter, denoted by ζ (zeta), that can vary from undamped (ζ = 0), underdamped (ζ < 1) through critically damped (ζ = 1) to overdamped (ζ > 1). The behaviour of oscillating systems is often of interest in a diverse range of disciplines that include control engineering, chemical engineering, mechanical engineering, structural engineering, and electrical engineering. The physical quantity that is oscillating varies greatly, and could be the swaying of a tall building in the wind, or the speed of an electric motor, but a normalised, or non-dimensionalised approach can be convenient in describing common aspects of behavior.
  • 38.3K
  • 12 Oct 2022
Biography
Dan Itse
Daniel C. Itse, known as Dan Itse (born May 21, 1958), is a conservative Republican member of the New Hampshire House of Representatives. A native of San Francisco, California , California , Itse is a professional engineer who resides in Fremont, New Hampshire. He advocates the revival of state sovereignty in an era of otherwise expanded government through the revival of the 1798 Kentucky and Vi
  • 401
  • 27 Dec 2022
Biography
Daniel D. Badger
Daniel D. Badger (15 October 1806–1884[1]) was an American founder, working in New York City under the name Architectural Iron Works. With James Bogardus, he was one of the major forces in creating a cast-iron architecture in the United States.[2] Christopher Gray of the New York Times remarks: "Most cast-iron buildings present problems of authorship – it is hard to tell if it was the found
  • 440
  • 20 Dec 2022
Biography
Daniel M. Fleetwood
Daniel M. Fleetwood (born August 3, 1958) is an American scientist, inventor, engineer and innovator. He is credited as being one of the first to identify the origins of flicker noise in semiconductor devices and its usefulness in understanding the effects of ionizing radiation on microelectronic devices and materials. Fleetwood is the Olin H. Landreth Chair of the Electrical Engineering and Co
  • 528
  • 01 Dec 2022
Biography
Danny Roy Moore
Danny Roy Moore (born August 9, 1925) is a civil engineer and land surveyor in Arcadia, Louisiana, who served as a conservative Democrat in the Louisiana State Senate from 1964 until 1968. He represented a north Louisiana district, then unnumbered, encompassing Claiborne and Bienville parishes.[1] Moore was born in Haynesville in northern Claiborne Parish just south of the Arkansas state line
  • 352
  • 26 Dec 2022
Topic Review
Darkwing (Transformers)
Darkwing (sometimes called Darkwind or Blackwing) is a fictional character from the various Transformers series. He is a Decepticon jet.
  • 375
  • 17 Oct 2022
Topic Review
DASH7 Alliance
The DASH7 Alliance (D7A) is a group of companies and universities managing the evolution of the Dash7 Alliance protocol. The goal of the group is to create a complete interoperable RF technology to exchange data for wireless sensor networks and devices at a block scale (300m–1 km). Initially created with the participation of the US DoD and Lockheed Martin in 2009, the group evolved from RFID military needs (ISO-18000-7 support group role), to an industrial generic requirement. The Dash7 Alliance continued to forge an extensive experience in high reliability 433 MHz networks and extended it to 868/915 MHz. Unlike other protocols, Dash7 Alliance published layered based protocols to ensure interoperability up to the file exchange layers. A complete Open Source implementation, OSS-7, as well as industrial implementations enabled to create a certification lab and organize regular plugfest. The DASH7 Alliance was a privately held, 501(c)3 not-for-profit trade association founded in February 2009 and headquartered in San Ramon, California. Since 2015, it is a European NGO based in Brussels, Belgium.
  • 493
  • 29 Sep 2022
Topic Review
Data Acquisition and Storage for Smart Manufacturing
The evolution of technology and especially the Internet of Things (IoT) has led to a new kind of manufacturing known as Smart Manufacturing. Smart Manufacturing is an application of the IoT that focuses on using inexpensive, small-sized, and smart devices that are all interconnected so that they can increase productivity and improve the health of the machines. Big Data in Smart Manufacturing systems are continuously generated data in high volumes produced by said smart devices and are available in various forms, e.g., log files, signal streams, or sensor data. A Big Data analysis system should be able to use these data in real time, as well as save them for historical analysis and long-term pattern detection.
  • 1.4K
  • 10 Mar 2022
Topic Review
Data Augmentation-Based Brain Tumor Detection
Brain tumor is a severe cancer and a life-threatening disease. Thus, early detection is crucial in the process of treatment. Recent progress in the field of deep learning has contributed enormously to the health industry medical diagnosis. Convolutional neural networks (CNNs) have been intensively used as a deep learning approach to detect brain tumors using MRI images. Due to the limited dataset, deep learning algorithms and CNNs should be improved to be more efficient.
  • 434
  • 28 Apr 2023
Topic Review
Data Centers Energy Efficiency
The efficient management of Data Centers (DCs) is addressed by considering their optimal integration with the electrical, thermal, and IT (Information Technology) networks helping them to meet sustainability objectives and gain primary energy savings. Innovative scenarios are defined for exploiting the DCs electrical, thermal, and workload flexibility, and Information and Communication Technologies (ICT) are proposed and used as enablers for the scenarios’ implementation. The technology and scenarios were evaluated in the context of two operational DCs: a micro DC in Poznan which has on-site renewable sources and a DC in Point Saint Martin.
  • 542
  • 02 Dec 2020
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