Open Access
ARTICLE
Mingdao Lu, Peng Wei, Mingshu He*, Yinglei Teng
Journal of Quantum Computing, Vol.3, No.1, pp. 1-12, 2021, DOI:10.32604/jqc.2021.016315
Abstract With the increasing of civil aviation business, flight delay has become
a key problem in civil aviation field in recent years, which has brought a
considerable economic impact to airlines and related industries. The delay
prediction of specific flights is very important for airlines’ plan, airport resource
allocation, insurance company strategy and personal arrangement. The influence
factors of flight delay have high complexity and non-linear relationship. The
different situations of various regions and airports, and even the deviation of
airport or airline arrangement all have certain influence on flight delay, which
makes the prediction more difficult. In view of the… More >
Open Access
ARTICLE
Peng Wei, Mingdao Lu, Xuehan Zhang, Yilei Teng*
Journal of Quantum Computing, Vol.3, No.1, pp. 13-23, 2021, DOI:10.32604/jqc.2021.016324
Abstract Aviation service plays an indispensable role in the process of social
and economic development. In this process, the problem of flight punctuality
becomes more and more serious. Flight delay will bring a variety of implicit and
explicit losses to individual passengers and airlines, so it is necessary to analyze
the influencing factors of flight punctuality rate. Complex network can be used
to study various objects with complex relations, obtain the relations of these
objects and calculate the influence of different indicators on the objects. This
article mainly has carried on the three aspects: Firstly, get the flight data from the… More >
Open Access
ARTICLE
Wenxiao Wang1,*, Xiaoyu Li1,*, Yin Ding1, Feizhou Wu2, Shan Yang3
Journal of Quantum Computing, Vol.3, No.1, pp. 25-33, 2021, DOI:10.32604/jqc.2021.016346
Abstract Due to the increase in the types of business and equipment in
telecommunications companies, the performance index data collected in the
operation and maintenance process varies greatly. The diversity of index data
makes it very difficult to perform high-precision capacity prediction. In order to
improve the forecasting efficiency of related indexes, this paper designs a
classification method of capacity index data, which divides the capacity index data
into trend type, periodic type and irregular type. Then for the prediction of trend
data, it proposes a capacity index prediction model based on Recurrent Neural
Network (RNN), denoted as RNN-LSTM-LSTM. This model… More >
Open Access
ARTICLE
Qinghai Li1, Ziyi Zhao2, Hao Wu1,*, Xiaoyu Li3,*, Qinsheng Zhu1, Shan Yang4
Journal of Quantum Computing, Vol.3, No.1, pp. 35-43, 2021, DOI:10.32604/jqc.2021.016634
Abstract In the detection process of classic radars such as radar/lidar, the
detection performance will be weakened due to the presence of background noise
and loss. The quantum illumination protocol can use the spatial correlation
between photon pairs to improve image quality and enhance radar detection
performance, even in the presence of loss and noise. Based on this quantum
illumination LIDAR, a theoretic scheme is developed for the detection and
tracking of moving targets, and the trajectory of the object is analyzed. Illuminated
by the quantum light source as Spontaneous Parametric Down-Conversion
(SPDC), an opaque target can be identified from the… More >