ABSTRACT
COVID-19, is caused by the transmission of SARS-CoV-2 through direct or indirect contact with infected people though respiratory droplets has transitioned from a pandemic to an endemic but is still regarded as active by WHO. Restrictions and lockdowns were lifted as the situation became endemic, but the previous measures had to be kept in place. By developing a module that includes temperature monitoring, face mask detection, a non-contact sanitizer dispenser, and door automation that operates based on the number of individuals inside a closed area in order to maintain social distance, our project aims to incorporate these precautions into our everyday language. As a part of making the new normal easily adaptable, we also introduce a webpagebased reservation system, which wm essentially display the current count and also help in reducing the waiting periods. © 2023 IEEE.
ABSTRACT
The growth in air traffic (before the Covid-19 pandemic) made airport time slots an increasingly scarce resource (and it is believed that this growth will continue after recovery). It is widely acknowledged that the grandfathering schemes used nowadays lead to inefficient allocations and that auctions would be a means to allocate valuable airport time slots efficiently. It has, however, also been pointed out that the design of such slot auctions is challenging due to the various constraints that need to be considered. The present paper proposes a market design for the sales of airport time slots at EU airports that complies with the Worldwide Scheduling Guidelines of the International Air Transport Association (IATA), most notably the reference value systems at level 3 airports. These guidelines need to be considered but lead to significant additional complexity in the market design. Capacity constraints are defined for overlapping time windows, which render the maximum welfare flight scheduling problem NP-hard. Auction formats with good incentive properties such as the Vickrey-Clarke-Groves mechanism or core-selecting auctions require an exact solution to the allocation problem. Given its hardness, it is far from obvious that the allocation problem can be solved to optimality sufficiently fast for practically relevant sizes of real-world problems. We introduce a mathematical model formulation for the maximum welfare flight scheduling problem that complies with all specified IATA constraints and evaluate it on near real-world data sets of flight requests for a full season of a major international airport. We show that the allocation can be computed within minutes and that all the payment computations for the winners can be done in less than two hours on average for realistic problem sizes. The consideration of values of airlines within the proposed auction mechanism leads to significant welfare gains of more than 35% as compared with benchmarks resulting from different standard objectives. These include the maximization of the number of movements, the minimization of the number of movements for which deviations from requested times occur, and the minimization of the total deviation of scheduled from requested times. Whereas the results indicate that auctions can be solved quickly for realistic problem sizes and promise significant welfare gains under the standard independent private values assumptions, the implementation of auctions in the field leads to additional serious challenges. For example, the regulator might have to impose allocation constraints to mitigate the market power of incumbent airlines. In addition, the valuation of slots and the interdependencies of the slot assignment with those at other coordinated airports need careful attention. Copyright: © 2022 INFORMS.
ABSTRACT
COVID-19, the virus that has affected current living standards, has undergone mutation, and the second wave has caused a much more devastating situation in India. In such a scenario, the alert of a third wave by the authorities has alarmingly increased concern in the nation. After being declared as an international emergency, the development of its vaccine has been conducted by different countries. India among other countries is also pursuing to develop much more efficient variants of the vaccine. The situation still persists to be hostile and maintaining the current precaution measures and maximizing the distribution of the vaccines is the only solution in hand. A necessity arises for a user-friendly app to reduce social interaction while assisting in medical support. In this paper, we have proposed an android application named YUDH, which focuses on the overall service that an individual requires from booking test centers, vaccine slot notification to home sanitization. The user can book COVID-19 testing centers and can arrange sanitization service after recovery with the provision of place, date, and time. In addition to booking test centers, swab testing at the doorstep is also available. The user also gets regular notifications on COVID vaccine slot availability in accordance with CoWIN portal and users' preferences. This deployment is aimed at the safety of the user and their privacy safeguard. The application also assists the government to maintain a database more efficiently. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
ABSTRACT
This paper presents a novel unique single-layer dual-polarized microstrip patch antenna array with a COVID-19 shape designed for building a Base Station (BS) for sub-6 GHz applications at the resonant frequency 3.16 GHz. Furthermore, it is easy to fabricate and compact, which makes it suitable for 5G applications. Firstly, a single-element fractal shape antenna with a gain of 3 dB is discussed. Secondly, an 8-element 2x4 antenna array is designed with a gain of 8 dB. The antenna is fabricated using an FR4-epoxy double-sided copper board with a thickness of 1.6 mm. It is optimized by performing parametric studies of the dimensions using the finite element method (FEM) software program HFSS. The printed prototype measurements including S-parameters, polarization, and radiation pattern show a good agreement with simulation results. © 2022 IEEE.
ABSTRACT
Grandfather rights require airlines to operate at least 80 % of their slots, if they are to keep them in the next scheduling period. To prevent losing slots, the airlines may operate slot-rescue flights, an airline strategy called slot hoarding. We model strategies of a monopolistic airline which chooses between long-haul and short-haul flights at a slot-coordinated airport. In cases of a binding use-it-or-lose-it rule, we observe a bias in the airline route network in favor of slot-rescue flights on short-haul distances. Slot-rescue flights reduce airline profits, but raise consumer surplus and airport profits. The overall effect of slot-rescue flights on welfare, however, remains ambiguous. Recently, slot hoarding and its climate impact have received considerable attention during the COVID-19 pandemic. We show that the environmental effects of slot-rescue flights are asymmetric. The climate damage of slot hoarding in the EU is reduced by the EU ETS, whereas CORSIA is rather ineffective.
ABSTRACT
COVID-19, the virus that has affected current living standards, has undergone mutation, and the second wave has caused a much more devastating situation in India. In such a scenario, the alert of a third wave by the authorities has alarmingly increased concern in the nation. After being declared as an international emergency, the development of its vaccine has been conducted by different countries. India among other countries is also pursuing to develop much more efficient variants of the vaccine. The situation still persists to be hostile and maintaining the current precaution measures and maximizing the distribution of the vaccines is the only solution in hand. A necessity arises for a user-friendly app to reduce social interaction while assisting in medical support. In this paper, we have proposed an android application named YUDH, which focuses on the overall service that an individual requires from booking test centers, vaccine slot notification to home sanitization. The user can book COVID-19 testing centers and can arrange sanitization service after recovery with the provision of place, date, and time. In addition to booking test centers, swab testing at the doorstep is also available. The user also gets regular notifications on COVID vaccine slot availability in accordance with CoWIN portal and users’ preferences. This deployment is aimed at the safety of the user and their privacy safeguard. The application also assists the government to maintain a database more efficiently. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
ABSTRACT
In this paper, a 5G on-body patch has been designed for detecting COVID-19 affected lung. A new material Single Wall Carbon Nanotube (SWCNT) is used to design the patch of the antenna. Copper is used to designing the ground and FR-4 (lossy) is used in the substrate. The antenna has a total thickness of 5.5 mm where the patch thickness is 0.5 mm, the substrate thickness is 4.5 mm, and the ground thickness is 0.5 mm. The total volume (length x width x thickness) of this antenna is 80 mm x 80 mm x 5.5 mm (35200 mm3). For detecting COVID-19, designed two human lung phantom body models such as a COVID-19 affected lung model and a non-affected normal lung model. The patch antenna and all the models were designed in CST Microwave Studio. All the dielectric properties and other valuable parameters of the antenna materials and lung phantom models were collected and used for designing the antenna and phantom lung models. The antenna's return loss (S1,1) is -27.498894 dB, gain is 3.007 dB, VSWR is 1.0880641, directivity is 6.007 dB, resonant frequency is 6.296 GHz, SAR 1.19 W/Kg, bandwidth is 1.8174 GHz and the efficiency is 61% in free space. In this pandemic situation, this antenna can be given a new step for detecting COVID-19 affected lung. © 2022 IEEE.
ABSTRACT
Purpose>Airport capacity constraints lead to operational congestion and delays, which have become major threats to the aviation industry. They impose large costs on airlines and their passengers. Uncertainty in demand or unexpected events can cause a mismatch between capacity and demand, resulting in either capacity oversupply, with a decrease in efficiency, or airport congestion over an extended period. Moreover, airport capacity is rather difficult to define due to its multifaceted and dynamic nature, and it depends both on the available infrastructure and on operating procedures. Additionally, traditional capacity management methods do not consider relevant behavioral economic challenges to conventional analysis, particularly failure of the expected utility hypotheses and dependence of valuations on reference points. This study aims to develop a preliminary framework to include economic concepts when evaluating expansions of airport capacity.Design/methodology/approach>This paper reviews major opportunities in airport demand and capacity management from an economic perspective while appraising the challenges involved in airport capacity expansion processes that have not been fully completely in past studies. Although welfare economics provides the conceptual foundations for demand/capacity analyses, the authors integrate the findings regarding capacity definition, uncertainty management and behavioral economics into standard economics to guide the measurement of the airport capacity expansion problem.Findings>The authors obtain several insights regarding airport capacity and demand management. First, airport capacity is a complex metric when evaluating airport expansion, and it depends both on the available infrastructure and on operating procedures. Furthermore, airport throughput is highly conditioned by factors that shape capacity and delay and shows significant variability when these factors are modified. Second, a marginal change in capacity at congested airports may have a great impact on demand distribution, airline competition, aircraft types, fares, operating revenues, route map and other characteristics of a given airport. Behavior after capacity expansion is highly reliant on the slot allocation models. Additionally, overall social welfare is usually affected after changes in infrastructure in terms of increased connectivity, economic benefits and negative externalities, including noise and local pollution. Third, on-time performance is clearly nonlinear, and thus sensitive to variations in demand and capacity. Finally, airport capacity and demand management involve a trade-off between mitigating congestion and maximizing capacity utilization, so decision-making tools are required to support and enhance policy and managerial choices. Three main challenges arise when developing new methods for evaluating airport expansions: the definition of capacity, the management of uncertainty in demand and the need to consider economic concepts.Originality/value>This paper explores and produces an in-depth understanding of the problem of airport capacity and demand balance. The authors propose a preliminary framework that considers the challenges that have been previously identified and that, particularly, provides an economic perspective for airport capacity expansion processes. This framework is completed with a theoretical model to help policymakers and airport operators when faced with a capacity development decision.
ABSTRACT
Scarcity of airport capacity in large metropolitan areas is expected to increase in the decades ahead, in particular in Europe. The excess demand for slots has substantial implications for airports, in terms of connectivity and traffic, but also in terms of airline strategies to gain access to the constrained infrastructure. In this chapter we assess the symptoms and implications of growing capacity scarcity at Amsterdam Airport Schiphol. In addition, we survey the different options that airports and governments realistically have to ensure an efficient use of scarce capacity at (super-)congested airports and to make it more resilient for dealing with crises such as the COVID-19 pandemic. © 2022 Elsevier Inc. All rights reserved.
ABSTRACT
This paper presents a novel unique microstrip fractal patch antenna with a COVID-19 shape designed for wireless applications. The COVID-19 antenna is a compact, miniature size, multiband, low weight, and low-cost patch antenna;the demonstrated patch antenna, simulated using the HFSS software program, consists of a circular printed patch with a radius of 0.4 cm surrounded by 5 pairs of crowns. The antenna is implemented on a double-sided copper plate with an FR4-epoxy substrate of 1 × 1 cm2 area and 1.6 mm thickness. This small patch operates and resonates on two frequencies 7.5 GHz and 17 GHz within C and Ku bands, respectively. The simulated and measured gains were respectively 0.8 dB and 0.2 dB at the lower frequency and 2.21 dB and 2 dB at the higher frequency. A coaxial probe feeding method is used in the simulation, and printed prototypes showed excellent consistency between measured and simulated resonance frequencies. © 2022, Electromagnetics Academy. All rights reserved.
ABSTRACT
Pandemic COVID-19 creates devastating impacts on healthcare, education, economy, and society. Herd immunity against COVID-19 would permit society to return to normal. To achieve herd immunity against COVID-19 harmlessly, a significant portion of a population would need to be vaccinated. India is the second most populated country globally, already administered the second-highest number of doses to its citizen successfully. The Government of India’s popular web portal/app ‘CoWIN’ is used to register and monitor vaccinations. It helps Indians to find the nearest available vaccination slots. In the present work, an Android application is developed to enhance the search facility provided by ‘CoWIN’ to make it more convenient. It helps the users to find all available vaccination slots within a 15 km radius in one search. This application also provides a weather forecast for the searched location and search date. Users are also able to know how much fees are charged by a center during search time. This application has tried to make the ‘CoWIN’s search by map facility more informative. It is expected that this application will improve the user’s vaccination slots search experiences and make the searchings more convenient. © 2022, Springer Nature Switzerland AG.
ABSTRACT
Background: The slot planning problem is a container allocation problem within a certain location on a vessel. It is considered a sub-problem of a successful decomposition approach for the container vessel stowage planning problem. This decision has a direct effect on container handling operations and the vessel berthing time, which are key indicators for the container terminal efficiency. Methods: In this paper, an approach combining a rule-based fuzzy logic algorithm with a rule-based search algorithm is developed to solve the slot planning problem. The rules in the proposed fuzzy logic algorithm aim at improving the objective function and minimizing/eliminating constraint violation. Results: The computational results of 236 slot planning instances illustrate the efficiency and effectiveness of the proposed algorithm. Conclusions: The results show that the proposed approach is fast and can produce optimal or near-optimal solutions for a comprehensive industrial set of instances.
ABSTRACT
With international air travels largely banned around the world amid the global COVID-19 pandemic, many gateway and hub airports have more ideal slots available for reallocation. Airport traffic recovery replaces airport congestion to become the primary challenge of major airports around the world. With the pandemic well controlled domestically in China, the government liberalizes the hub airport slots for those previously forbidden services to the small/regional airports. This paper thus analytically examines the effect of this slot liberalization. The government subsidy to the small airports has also been considered. It is found that the slot liberalization can speed up airport traffic recovery for both hub and small airports. The hub airport slot liberalization leads to a lower level of minimum subsidy to sustain the survival of the small airports. Given any fixed level of subsidy to the small airport, both the total airport traffic and social welfare would improve with the slot liberalization at the hub airport. When the government can adjust the level of subsidy after liberalizing the hub airport slots, the subsidy could be excessive, if the government emphasizes too much on airport traffic recovery. This would, however, harm the overall social welfare.
ABSTRACT
A method for the rapid detection of coronaviruses is presented on the example of the transmissible gastroenteritis virus (TGEV) directly in aqueous solutions with different conductivity. An acoustic sensor based on a slot wave in an acoustic delay line was used for the research. The addition of anti-TGEV antibodies (Abs) diluted in an aqueous solution led to a change in the depth and frequency of resonant peaks on the frequency dependence of the insertion loss of the sensor. The difference in the output parameters of the sensor before and after the biological interaction of the TGE virus in solutions with the specific antibodies allows drawing a conclusion about the presence/absence of the studied viruses in the analyzed solution. The possibility for virus detection in aqueous solutions with the conductivity of 1.9-900 µs/cm, as well as in the presence of the foreign viral particles, has been demonstrated. The analysis time did not exceed 10 min.