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Topic Review
Bayraktar Tactical UAS
The Bayraktar Tactical UAS is a surveillance and reconnaissance unmanned aerial vehicle (UAV) initially developed for the Turkish Armed Forces. It is developed by the Kale-Baykar, a joint venture between the Kale Group and Baykar Technologies. In 2014, Bayraktar held the national endurance and altitude record for Turkey's unmanned aerial vehicles (UAV). It set a record for autonomous flight endurance when it flew 24 hours and 34 minutes at 18,000 feet on 5 August 2014. It furthermore recorded highest altitude of 27,030 feet on its flight on 14 June 2014 with full payload. Bayraktar TB2 successfully demonstrated firing of ROKETSAN MAM-L Smart Micro Munition with 100% accuracy in December 2015. While the Turkish Armed Forces describes Bayraktar as "Tactical UAV Class" to prevent it from being a competitor to the TAI Anka UAV, international standards would classify it as a medium-altitude long-endurance UAV. With its 650 kg MTOW and 12 meters wingspan platform powered by an internal combustion engine, Bayraktar is capable of flying at 22,500 feet and loitering for more than 24 hours.
  • 1.8K
  • 24 Oct 2022
Topic Review
Iron-Based Catalytically Active Complexes
Iron complexes are particularly interesting as catalyst systems over the other transition metals (including noble metals) due to iron’s high natural abundance and mediation in important biological processes, therefore making them non-toxic, cost-effective, and biocompatible. Both homogeneous and heterogeneous catalysis mediated by iron as a transition metal have found applications in many industries, including oxidation, C-C bond formation, hydrocarboxylation and dehydration, hydrogenation and reduction reactions of low molecular weight molecules. These processes provided substrates for industrial-scale use, e.g., switchable materials, sustainable and scalable energy storage technologies, drugs for the treatment of cancer, and high molecular weight polymer materials with a predetermined structure through controlled radical polymerization techniques.
  • 1.8K
  • 29 Dec 2020
Topic Review
Lithium Recovery from Lithium-Ion Battery
Lithium-ion batteries are becoming an integral part of renewable-based energy systems that helps to provide an efficient and greener solution for energy storage. LIBs have found their use in a variety of applications ranging from portable electronic devices to energy grid systems. Owing to the reduction in carbon dioxide emission and improved energy to fuel weight ratio, LIBs have also been widely used in electronic vehicles. LIBs have been especially desirable in this case due to their high charge to mass potential in comparison to other battery types. In the recent decade, the extensive use of LIBs has posed not only a great threat to the world’s lithium resource depletion but also the prevailing problem concerning the consumed and non-recycled LIBs. Hence, immediate attention to alleviate any danger to the ecosystems due to the release of harmful chemicals is required. 
  • 1.8K
  • 12 Apr 2022
Topic Review
Printed and Flexible Sensors
Printed sensors fabricated on flexible platforms such as paper, plastic and textiles have been implemented for wearable applications in the biomedical, defense, food, and environmental industries.
  • 1.8K
  • 18 Dec 2020
Topic Review
Overall Equipment Effectiveness
Overall equipment effectiveness (OEE) is a key performance indicator used to measure equipment productivity. The purpose of this study is to review and analyze the evolution of OEE, present modifications made over the original model and identify future development areas.
  • 1.8K
  • 12 Apr 2021
Topic Review
Radio Frequency Energy Harvesting System and Technologies
Radio frequency energy harvesting (RF-EH) is a potential technology via the generation of electromagnetic waves. This advanced technology offers the supply of wireless power that is applicable for battery-free devices, which makes it a prospective alternative energy source for future applications.
  • 1.8K
  • 05 Aug 2022
Topic Review
Covariance Projection Filter
Consider n data sources with their data represented, respectively, by N1, N2,...,Nn dimensional vectors, such that   . The covariance projection framework of data fusion, or, shortly, the covariance projection filter (CPF), is based on projecting the joint probability distribution of those N0 variables from n data sources onto the constraint manifold formed in the N0 dimensional space, referred to here as the extended space, based on the constraints present among the N variables. Then, the covariance projection framework of data fusion represents the projected probability distribution on the constraint manifold as the result of data fusion. For instance, in CPF, the fused data can be chosen as the point on the constraint manifold that bears the maximum probability, while the uncertainty associated with the resulting fused data can be defined as the probability distribution around the chosen point on the constraint manifold. The covariance projection framework of data fusion was initially conceived by Sukhan Lee and further elaborated into a more formal mathematical discipline by Sukhan Lee and Muhammad Abu Bakr. It turns out that CPF is equivalent to other well-known data fusion methods such as Kalman filter, Bar Shalom Campo and generalized Millman’s formula for linear systems with known Gaussian noise either uncorrelated or correlated. However, CPF provides a general framework of data fusion that allows incorporation of any system constraints as well as detection of data inconsistency directly into data fusion, besides opening a new possibility of handling non-linear systems with non-Gaussian noise. In what follows, the mathematical formula of CPF developed, in particular, for a linear Gaussian system with linear constraint is introduced.
  • 1.8K
  • 01 Nov 2020
Topic Review
Light detection and ranging (LiDAR)
Light Detection and Ranging (LiDAR) is a 3D imaging technique, widely used in many applications such as augmented reality, automotive, machine vision, spacecraft navigation and landing. Achieving long-ranges and high-speed, most of all in outdoor applications with strong solar background illumination, are challenging requirements.
  • 1.8K
  • 23 Jun 2021
Topic Review
List of AEW&C Aircraft Operators
Airborne early warning and control (AEW&C) aircraft are airborne radar systems designed to detect and track aircraft, missiles, ships and vehicles and provide command and control to direct friendly forces. Some operators, such as the Royal Air Force refer to such aircraft as Airborne early warning (AEW), while others reserve the shorter name for AEW aircraft lacking command and control facilities.
  • 1.8K
  • 03 Nov 2022
Topic Review
BRP for Non-Residential Buildings
According to its strategic long-term vision, Europe wants to be a climate-neutral economy by 2050 and buildings represent a sector with low-cost opportunities for high-level CO2 reduction. The main challenge is to increase the renovation rate of the existing building stock, which currently is around 1.2%/year. The ALliance for Deep RENovation (ALDREN) project developed a Holistic and reliable European Voluntary Certification Scheme to trigger deep renovation of non-residential buildings. The ALDREN approach is composed by a sum of protocols and tools with the goal of encouraging property owners to undertake renovation of existing buildings using a clear, robust, and comparable method using coherent and harmonized instruments, the so called ALDREN EPC and ALDREN Building Renovation Passport for non-residential buildings.
  • 1.8K
  • 01 Nov 2020
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