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Topic Review
Biography
Topic Review
Tiva-C LaunchPad
The Tiva-C (a.k.a. TM4C) LaunchPads are inexpensive self-contained, single-board microcontrollers, about the size of a credit card, featuring an ARM Cortex-M4F 32-bit CPU operating at 80 to 120 MHz, manufactured by Texas Instruments. The TM4C Series TM4C123G LaunchPad is an upgrade from TI's Stellaris LaunchPad adding support options for motion control PWMs and USB Host functionality. The more recently released TM4C1294 Connected LaunchPad is the first cloud-connected offering in TI's LaunchPad ecosystem and provides a solid foundation for beginning and evaluating embedded IoT designs. There are many I/O pins (40 to 80 depending upon version) that have multi-personality. This means that they can be easily configured as digital inputs or outputs, analog inputs and outputs or other functions, allowing a great variety of applications, are just the multiple serial ports have the ability to interface with more items such as test cards or other communication modules, etc. Among those pins there are included the GND and POWER (3.3 V) pins. The clock is 80 or 120 MHz (vers based), which makes them 5 to over 7 times faster than the Arduino Uno's 16 MHz ATmega328P microcontroller. As with any Cortex M4, the CPU has some DSP (digital signal processor) instructions, with some limitations. One can do signal processing, for example, sampling a human voice with a good quality, able to be processed in MATLAB. The CPU contains the optional floating-point unit with single-precision floating point operations supported. They have an additional USB port which can act as USB host, allowing the connection of multiple devices and the "Connected" one has an integrated 10/100 Ethernet MAC+PHY for Internet connectivity. They also have a temperature sensor and on-board LED(s) and RGB LED(s), which allows you to generate various colors by combining the three basic colors (red, blue and green) of the additive color synthesis. The Tiva/TM4C LaunchPads come preloaded with software to demonstrate many of the capabilities of the ARM microcontroller and with a quickstart application to get up and running within minutes.
1.1K
01 Dec 2022
Topic Review
CDSSs in cardiac surgery diagnosis
The advances achieved in recent decades regarding cardiac surgery have led to a new risk that goes beyond surgeons’ dexterity; postoperative hours are crucial for cardiac surgery patients and are usually spent in intensive care units (ICUs), where the patients need to be continuously monitored to adjust their treatment. Clinical decision support systems (CDSSs) have been developed to take this real-time information and provide clinical suggestions to physicians in order to reduce medical errors and to improve patient recovery.
1.1K
01 Apr 2021
Topic Review
AlGaN Ultraviolet (UV)-B/-C Lasers
The development of electrically pumped semiconductor diode lasers emitting at the ultraviolet (UV)-B and -C spectral bands has been an active area of research over the past several years, motivated by a wide range of emerging applications. III-Nitride materials and their alloys, in particular AlGaN, are the material of choice for the development of this ultrashort-wavelength laser technology. Despite significant progress in AlGaN-based light-emitting diodes (LEDs), the technological advancement and innovation in diode lasers at these spectral bands is lagging due to several technical challenges.
1.1K
22 Jul 2021
Topic Review
Groundwater Level Modeling with Machine Learning
Groundwater is the largest global reservoir of liquid freshwater, which is under increasing stress due to overdraft. Groundwater is a vital source of freshwater, supporting the livelihood of over two billion people worldwide. The quantitative assessment of groundwater resources is critical for sustainable management of this strained resource, particularly as climate warming, population growth, and socioeconomic development further press the water resources. Rapid growth in the availability of a plethora of in-situ and remotely sensed data alongside advancements in data-driven methods and machine learning offer immense opportunities for an improved assessment of groundwater resources at the local to global levels.
1.1K
06 Apr 2022
Topic Review
Perovskite Solid-State Electrolytes for Lithium Metal Batteries
Solid-state lithium metal batteries (LMBs) have become increasingly important in recent years due to their potential to offer higher energy density and enhanced safety compared to conventional liquid electrolyte-based lithium-ion batteries (LIBs). However, they require highly functional solid-state electrolytes (SSEs) and, therefore, many inorganic materials such as oxides of perovskite La2/3−xLi3xTiO3 (LLTO) and garnets La3Li7Zr2O12 (LLZO), sulfides Li10GeP2S12 (LGPS), and phosphates Li1+xAlxTi2−x(PO4)3x (LATP) are under investigation. Among these oxide materials, LLTO exhibits superior safety, wider electrochemical window (8 V vs. Li/Li+), and higher bulk conductivity values reaching in excess of 10−3 S cm−1 at ambient temperature, which is close to organic liquid-state electrolytes presently used in LIBs.
1.1K
23 Nov 2021
Topic Review
Autonomous Driving Systems
Autonomous vehicles are increasingly becoming a necesAutonomous vehicles are increasingly becoming a necessary trend towards building the smart cities of the future. Numerous proposals have been presented in recent years to tackle particular aspects of the working pipeline towards creating a functional end-to-end system, such as object detection, tracking, path planning, sentiment or intent detection, amongst others. Nevertheless, few efforts have been made to systematically compile all of these systems into a single proposal that also considers the real challenges these systems will have on the road, such as real-time computation, hardware capabilities, etc.
1.1K
11 May 2021
Topic Review
Highway-rail grade crossing (HRGC) accidents
Highway-rail grade crossing (HRGC) accidents pose a serious risk of safety to highway users, including pedestrians trying to cross HRGCs. A significant increase in the number of HRGC accidents globally calls for greater research efforts, which are not limited to the analysis of accidents at HRGCs but also understanding user perception, driver behavior, potential conflicting areas at crossings, effectiveness of countermeasures and user perception towards them. HRGC safety is one of the priority areas in the State of Florida, since the state HRGCs experienced a total of 429 injuries and 146 fatalities between 2010 and 2019 with a significant increase in HRGC accidents over the last years.
1.1K
15 Aug 2021
Topic Review
Non-Intrusive Load Monitoring and Network
Non-intrusive load monitoring (NILM), also known as energy disaggregation, tries to decompose aggregated energy consumption data and estimate each appliance’s contribution.
1.1K
05 Aug 2022
Topic Review
Trace Gas Orbiter
The ExoMars Trace Gas Orbiter (TGO or ExoMars Orbiter) is a collaborative project between the European Space Agency (ESA) and Roscosmos that sent an atmospheric research orbiter and the Schiaparelli demonstration lander to Mars in 2016 as part of the European-led ExoMars programme. The Trace Gas Orbiter delivered the Schiaparelli lander on 16 October 2016, which crashed on the surface. The orbiter began aerobraking in March 2017 to lower its initial orbit of 200 by 98,000 km (120 by 60,890 mi). Aerobraking concluded on 20 February 2018 when a final thruster firing resulted in an orbit of 200 by 1,050 km (120 by 650 mi). Additional thruster firings every few days raised the orbiter to a circular "science" orbit of 400 km (250 mi), which was achieved on 9 April 2018. A key goal is to gain a better understanding of methane (CH4) and other trace gases present in the Martian atmosphere that could be evidence for possible biological activity. The programme will follow with the Kazachok lander and the Rosalind Franklin rover in 2020, which will search for biomolecules and biosignatures; the TGO will operate as the communication link for the ExoMars lander and rover and provide communication for other Mars surface probes with Earth.
1.1K
27 Oct 2022
Topic Review
Building information modeling (BIM)
BIM is defined as the“digital representation of physical and functional characteristics of a facility”. It is the process of producing and maintaining project related information throughout the different phases of the building life cycle. The information not only constitutes geometric properties of the building elements, but also extends to include any customized information related to the building. There are various uses for BIMs, which include 3D visualization, 4D scheduling, quantity take-off, etc. Although the use of BIM functionalities is an active field of research, exploiting the advantages of BIM in the deconstruction stage remains limited.
1.1K
09 Oct 2021
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