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Topic Review
Counterfeit Attack Modes in Microelectronics
As the global supply chain grows more intricate and the prevalence of counterfeit components surges, it becomes paramount to verify the authenticity of electrical chips. The infiltration of counterfeit components, potentially finding their way into electronic equipment, raises concerns as workers contend with mounting client demands. Microelectronics are vital to the healthcare and defense industries, making them vulnerable to counterfeit products.
  • 397
  • 15 Nov 2023
Topic Review
Counterprogramming
In broadcast programming, counterprogramming is the practice of offering television programs to attract an audience from another television station airing a major event. It is also referred when programmers offer something different from the rival’s program as an alternative, to increase the audience size.
  • 1.1K
  • 28 Sep 2022
Topic Review
Coupled Dynamic Performance of Floating Offshore Wind Turbines
Floating offshore wind turbines (FOWT) have attracted more and more attention. Environmental loads on FOWTs have higher complexity than those on the traditional onshore or fixed-bottom offshore wind turbines. In addition to aerodynamic loads on turbine blades, hydrodynamic loads also act on the support platform. The primary coupling method is based on the combination of BEM theory and potential flow theory, which can simulate the performance of the FOWT system under normal operating conditions but has certain limitations in solving the complex problem of coupled FOWTs. The more accurate and reliable CFD method used in the research of coupling problems is still in its infancy.
  • 638
  • 10 Jun 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.
  • 1.9K
  • 01 Nov 2020
Topic Review
COVID-19 Biomarkers and Point-of-Care Diagnosis
COVID-19, also known as SARS-CoV-2 is a novel, respiratory virus currently plaguing humanity. Genetically, at its core, it is a single-strand positive-sense RNA virus. It is a beta-type Coronavirus and is distinct in its structure and binding mechanism compared to other types of coronaviruses. Testing for the virus remains a challenge due to the small market available for at-home detection. Currently, there are three main types of tests for biomarker detection: viral, antigen and antibody. Reverse Transcription-Polymerase Chain Reaction (RT-PCR) remains the gold standard for viral testing. However, the lack of quantitative detection and turnaround time for results are drawbacks. This manuscript focuses on recent advances in COVID-19 detection that have lower limits of detection and faster response times than RT-PCR testing. The advancements in sensing platforms have amplified the detection levels and provided real-time results for SARS-CoV-2 spike protein detection with limits as low as 1 fg/mL in the Graphene Field Effect Transistor (FET) sensor. Additionally, using multiple biomarkers, detection levels can achieve a specificity and sensitivity level comparable to that of PCR testing. Proper biomarker selection coupled with nano sensing detection platforms are key in the widespread use of Point of Care (POC) diagnosis in COVID-19 detection.
  • 753
  • 06 Sep 2021
Topic Review
COVID-19 Detection Based on ECG Processing
The World Health Organization (WHO) has been on alert since early 2020 regarding the Coronavirus Disease 19 (COVID-19). With well over 6 million deaths worldwide, the scientific community is developing new ways to detect the disease. As one of the most used clinical examination methods, it is of great importance to study the changes in the electrocardiographic (ECG) activity, as well as to understand the ECG features related to COVID-19.
  • 693
  • 07 Feb 2023
Topic Review
COVID-19 Effect on Supply Chains
The COVID-19 pandemic has generated disruptions in supply chains, traveling, businesses, and a loss of human lives that is being accounted for at least five million diseased. When the pandemic started, uncertainties, the lockdown of countries, and stay-at-home orders generated that millions of people made runs to grocery stores to buy essential products, the most distinctive being hygiene tissue, antibacterial formulations, and hand sanitizers. Then workers in essential processes in the medical, food, and manufacturing industries had to restart work to keep supply chains running. That generated further repercussions due to the infection of workers in multiple facilities, which created more considerable uncertainties. Universities and schools were mandated to close, and work-from-home orders were enacted in most sectors. In this entry, a summary of the essential factors, current situation, and future perspective regarding the effect generated by COVID-19 on the disruptions of supply chains is presented. The strategic sectors summarized are food and produce, transportation, paper products, chemicals and pharmaceuticals, medical supplies, automobiles, minerals and technology companies. At two years since the WHO declaration, there are still shockwaves that show some unpredictability. Hence, companies and governments should look for strategical plans for preparing for this kind of event, making supply chains resilient or even immune to pandemics, natural disasters and trade wars.
  • 1.5K
  • 22 Jan 2022
Topic Review
COVID-19 Lockdown on Online Car-Hailing Travel in Shanghai
Due to the restriction policies and people’s fear of contracting COVID-19, the riding of means of transportation decreased sharply, including trains, metros, taxis, and online car-hailing, both for inter-city and intra-city transportation modes. The way people travel and live was significantly affected. People needed to work from home or conduct online meetings if the working conditions permitted. Students needed to take classes online.
  • 247
  • 06 Nov 2023
Topic Review
COVID-19 Spread Faster with HVAC
Droplets and aerosolized viral particles expelling from the body through coughing or sneezing and it is spreading to nearby surroundings. CFD model has been developed to simulate the air flow and the transport and dispersion of the aerosolized viral particles and fine droplets suspended in the air particles through the office. The study presents two cases involving the spreading limits and pathways of the aerosolized viral particles and fine droplets suspended in the air in a place; without and with air conditioning unit. The results showed that the use of air conditioning systems can increase the chances of spreading COVID-19 virus infection. The air-conditioning unit recirculates the same air inside a room, and this has the potential to create a virus-laden environment. Air circulation indoors such as using air conditioning units should be avoided in closed places. Existing ventilation systems should be expanded to include extraction and air filtration systems and/or germicidal, ultraviolet light. Also, opening a window can help bring in fresh air from the outside and disperse stale air inside, and that could help reduce the possibility of the spread of the virus particles in the closed place. Lastly, crowds of people in closed public places should be avoided (HVAC: Heating, ventilation, and air conditioning).
  • 1.2K
  • 17 Feb 2021
Topic Review
COVID-19 Spread Prevention by Minimising Overcrowding
COVID-19 has become a pandemic which has resulted in measures being taken for the health and safety of people. The spreading of this disease is particularly evident in indoor spaces, which tend to get overcrowded with people. One such place is the airport where a plethora of passengers gather in common places, such as coffee shops and duty-free shops as well as toilets and gates. Guiding the passengers to less overcrowded places within the airport may be a solution to reduce disease spread.
  • 147
  • 20 Feb 2024
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