18 research outputs found
On Euclidean, Hermitian and symplectic quasi-cyclic complementary dual codes
Linear complementary dual codes (LCD) intersect trivially with their dual. In
this paper, we develop a new characterization for LCD codes, which allows us to
judge the complementary duality of linear codes from the codeword level.
Further, we determine the sufficient and necessary conditions for one-generator
quasi-cyclic codes to be LCD codes involving Euclidean, Hermitian, and
symplectic inner products. Finally, we constructed many Euclidean, Hermitian
and symmetric LCD codes with excellent parameters, some improving the results
in the literature. Remarkably, we construct a symplectic LCD code
with symplectic distance , which corresponds to an trace Hermitian additive
complementary dual code that outperforms the optimal quaternary
Hermitian LCD code
Symplectic self-orthogonal quasi-cyclic codes
In this paper, we obtain sufficient and necessary conditions for quasi-cyclic
codes with index even to be symplectic self-orthogonal. Then, we propose a
method for constructing symplectic self-orthogonal quasi-cyclic codes, which
allows arbitrary polynomials that coprime to construct symplectic
self-orthogonal codes. Moreover, by decomposing the space of quasi-cyclic
codes, we provide lower and upper bounds on the minimum symplectic distances of
a class of 1-generator quasi-cyclic codes and their symplectic dual codes.
Finally, we construct many binary symplectic self-orthogonal codes with
excellent parameters, corresponding to 117 record-breaking quantum codes,
improving Grassl's table (Bounds on the Minimum Distance of Quantum Codes.
http://www.codetables.de)
Quasi-cyclic Hermitian construction of binary quantum codes
In this paper, we propose a sufficient condition for a family of 2-generator
self-orthogonal quasi-cyclic codes with respect to Hermitian inner product.
Supported in the Hermitian construction, we show algebraic constructions of
good quantum codes. 30 new binary quantum codes with good parameters improving
the best-known lower bounds on minimum distance in Grassl's code tables
\cite{Grassl:codetables} are constructed
Some quaternary additive codes outperform linear counterparts
The additive codes may have better parameters than linear codes. However, it
is still a challenging problem to efficiently construct additive codes that
outperform linear codes, especially those with greater distances than linear
codes of the same lengths and dimensions. This paper focuses on constructing
additive codes that outperform linear codes based on quasi-cyclic codes and
combinatorial methods. Firstly, we propose a lower bound on the symplectic
distance of 1-generator quasi-cyclic codes of index even. Secondly, we get many
binary quasi-cyclic codes with large symplectic distances utilizing
computer-supported combination and search methods, all of which correspond to
good quaternary additive codes. Notably, some additive codes have greater
distances than best-known quaternary linear codes in Grassl's code table
(bounds on the minimum distance of quaternary linear codes
http://www.codetables.de) for the same lengths and dimensions. Moreover,
employing a combinatorial approach, we partially determine the parameters of
optimal quaternary additive 3.5-dimensional codes with lengths from to
. Finally, as an extension, we also construct some good additive
complementary dual codes with larger distances than the best-known quaternary
linear complementary dual codes in the literature
THOR: A Hybrid Recommender System for the Personalized Travel Experience
One of the travelers’ main challenges is that they have to spend a great effort to find and
choose the most desired travel offer(s) among a vast list of non-categorized and non-personalized
items. Recommendation systems provide an effective way to solve the problem of information
overload. In this work, we design and implement “The Hybrid Offer Ranker” (THOR), a hybrid,
personalized recommender system for the transportation domain. THOR assigns every traveler a
unique contextual preference model built using solely their personal data, which makes the model
sensitive to the user’s choices. This model is used to rank travel offers presented to each user
according to their personal preferences. We reduce the recommendation problem to one of binary
classification that predicts the probability with which the traveler will buy each available travel
offer. Travel offers are ranked according to the computed probabilities, hence to the user’s personal
preference model. Moreover, to tackle the cold start problem for new users, we apply clustering
algorithms to identify groups of travelers with similar profiles and build a preference model for each
group. To test the system’s performance, we generate a dataset according to some carefully designed
rules. The results of the experiments show that the THOR tool is capable of learning the contextual
preferences of each traveler and ranks offers starting from those that have the higher probability of
being selected
Visibility and distortion measurement for no-reference dehazed image quality assessment via complex contourlet transform
Recently, most dehazed image quality assessment (DQA) methods mainly focus on the estimation of remaining haze, omitting the impact of distortions from the side effect of dehazing algorithms, which lead to their limited performance. Addressing this problem, we proposed a learning both Visibility and Distortion Aware features no-reference (NR) Dehazed image Quality Assessment method (VDA-DQA). Visibility aware features are exploited to characterize clarity optimization after dehazing, including the brightness, contrast, and sharpness aware feature extracted by complex contourlet transform (CCT). Then, distortion aware features are employed to measure the distortion artifacts of images, including the normalized histogram of local binary pattern (LBP) from the reconstructed dehazed image and the statistics of the CCT sub-bands corresponding to chroma and saturation map. Finally, all the above features are mapped into the quality scores by the support vector regression (SVR). Extensive experimental results on six public DQA datasets verify the superiority of proposed VDA-DQA in terms of the consistency with subjective visual perception, and outperforms the state-of-the-art methods.The source code of VDA-DQA is available at https://github.com/li181119/VDA-DQA
New Binary Quantum Codes Constructed from Quasi-Cyclic Codes
It is well known that quantum codes can be constructed by means of classical
symplectic dual-containing codes. This paper considers a family of
two-generators quasi-cyclic codes and derives sufficient conditions for these
codes to be dual-containing. Then, a new method for constructing binary quantum
codes is proposed. As an application, we construct 11 binary quantum codes that
exceed the beak-known results. Further, another 40 new binary quantum codes are
obtained by propagation rules, all of which improve the lower bound on the
minimum distance
Development and Application of a New Grey Dynamic Hierarchy Analysis System (GDHAS) for Evaluating Urban Ecological Security
Selecting indicators based on the characteristics and development trends of a given study area is essential for building a framework for assessing urban ecological security. However, few studies have focused on how to select the representative indicators systematically, and quantitative research is lacking. We developed an innovative quantitative modeling approach called the grey dynamic hierarchy analytic system (GDHAS) for both the procedures of indicator selection and quantitative assessment of urban ecological security. Next, a systematic methodology based on the GDHAS is developed to assess urban ecological security comprehensively and dynamically. This assessment includes indicator selection, driving force-pressure-state-impact-response (DPSIR) framework building, and quantitative evaluation. We applied this systematic methodology to assess the urban ecological security of Tianjin, which is a typical coastal super megalopolis and the industry base in China. This case study highlights the key features of our approach. First, 39 representative indicators are selected for the evaluation index system from 62 alternative ones available through the GDHAS. Second, the DPSIR framework is established based on the indicators selected, and the quantitative assessment of the eco-security of Tianjin is conducted. The results illustrate the following: urban ecological security of Tianjin in 2008 was in alert level but not very stable; the driving force and pressure subsystems were in good condition, but the eco-security levels of the remainder of the subsystems were relatively low; the pressure subsystem was the key to urban ecological security; and 10 indicators are defined as the key indicators for five subsystems. These results can be used as the basis for urban eco-environmental management