CSSE

Invasive organisms have broken the ecosystems around the world, and the economic losses are huge. It is vital to actively respond to the invasion of harmful organisms and protect the ecological environment in which we live. Predicting the habitats for ...

In current mobile recommendation service field, it is a hot spot that how to solve the complicated mobile information overload problem of the mobile environment. In the Web3.0 era, social tags are sufficient to describe users' interest preferences and ...

This paper focuses on the application of different data mining techniques to classify images of vehicles into three classes using Weka. The dataset used for this study were collected from Google Image search engine and other dataset websites. In ...

In order to effectively solve the discrete optimization problem of cognitive radio network spectrum allocation, a new binary adaptive cuckoo search (BACS) algorithm is proposed, which introduces reverse learning in the initialization stage of ...

Partitioning around medoid (PAM) is a classical clustering algorithm widely used in practice, but it has some shortcomings such as sensitivity to the initial center and empirical determination of cluster number. To solve these problems, a fusion ...

"Government Work 2018" report proposed the development of industrial Internet, manufacturing industry transformation driving B2B transformation. In recent years, the concept of industry 4.0 and B2B Industry Internet have developed in coordination, and ...

The personalized ranking is to provide a user with a ranked list of items, which is also called item recommendation. Item recommendation from implicit feedback has attracted much attention in recent years due to its broad application in real-world ...

Picviz is a parallel co-ordinate plot which is used to display huge amounts of data for security purposes. The data can be displayed in multiple dimensions using the parallel co-ordinate system. The primary goal of this software is to ease the analysis ...

Advanced clinical research has revealed that the thymus gland plays an important role in human's immune system. Observation of patients' thymus via CT imaging benefits the diagnosis and treatment of immune diseases. However, the boundary of adult's ...

In this paper, we propose a new visualization method called STViewer, which can visualize a large number of social media text based on a certain topic. STViewer can not only perceive the sentiment polarity of the whole text, show the opinions with high ...

The tracking approaches based on correlation filter have shown their particular importance due to the performance superiority from the perspectives of accuracy and speed. However, some issues of these tracking approaches are still to be addressed, such ...

ORB SLAM is the current state of art SLAM algorithm both on accuracy and efficiency, includes map reuse, loop closing and relocalization capabilities. Owing to ORB SLAM is constructed based on point features, it works well in most cases, but loses ...

Studies in sport psychology have shown that confidence is one of the most critical mental skill for elite athletes. In this paper, we present a method to analyze and visualize the interrelation between confidence and athletic performance in professional ...

Since the first detection of a Gravitational Wave (GW) in September 2015 at the Laser Interferometer Gravitational-Wave Observatory (LIGO), it was unclear if the Einstein's Theory (E=MC2) was true and if GWs existed. A huge investment in highly advanced ...

Flowing and splashing are the most common fluid phenomena in the nature. Fluid simulation has already been widely used in film, game and other industrial numerical field. Furthermore, both the theoretical study [1] and the practical experience [2] show ...

End-to-end Correlation Filters based trackers have shown excellent performance in visual tracking both in speed and accuracy. Most existing approaches adopt the Convolutional Neural Network (CNN) features pre-trained from the large-scale datasets off-...

The co-segmentation of a set of 3D shapes plays an important role in understanding and analyzing the 3D shapes. An unsupervised co-segmentation algorithm of 3D shapes based on components is proposed in view of the low efficiency and poor accuracy in the ...

This paper improves the traditional algorithm for circuit diagram image recognition, which identifies each component as well as the topological relationship over an entire circuit diagram. This paper uses generalized nodes as the basis for analysis of ...

Ray tracing has been considered as the next generation CG technology as its photorealistic rendering results. However, heavy computation load is a bottleneck which hindering its popularization. Hardware acceleration has been proved to be an effective ...

Image question answering is becoming a very attractive topic in the field of computer vision and natural language processing in recent years. In this work, we propose a novel Semantic Bi-Embedded Gated Recurrent Unit (SBE-GRU) method to answer fill-in-...

Aiming at the problem of poor robustness of human detector based on artificial extraction feature, This paper proposes a visual tracking method based on deep learning object detection, which draws on the research results of target detection. The method ...

Software reliability growth model (SRGM) describes the process of software failure, which is used to evaluate software reliability. Current SRGMs typically assume that software faults are removed once a software fault is detected and no new faults will ...

Symbolic execution [1] is an effective technique that is commonly used to analyse sequential [2, 3] and concurrent programs. However, when baseline symbolic algorithm is applied to system testing of multithreaded programs [4, 5, 6], the performance is ...

The increasing complexity of mechanical systems needs improvement in the methods of computer aided modelling and design. The paper discusses the applicability of metamodelling approach for the development of the problem-oriented languages for the design ...

In order to improve the safety of UAS flight, an autonomous flight UAS geofence algorithm is proposed. Firstly, by scaling the original geofence and performing vertex smoothing and self-intersection detection processing, a geofence pre-control-layer ...

Due to the continuous growth of transistors in processors, the cloud computing paradigm and increasingly complex environment, soft errors, which are a category of typical transient errors, have become an urgent challenge in ground-level systems. To ...

Vulnerabilities may spread through different software projects via code reusing. Therefore, it is important to identify the components of a project, to reveal vulnerabilities inside a component that may affect the project. Code similarity analysis is ...

The visibility in underwater images is poor because of the absorption and scattering of the light in water that causes color attenuation, low contrast and poor brightness. In this paper, a novel approach using the principle of Laplacian pyramid fusion ...

In this paper, an effective method of using gradient information to estimate atmospheric light is proposed, which contributes to handle the problem of low contrast and detail degradation in outdoor images taken under bad weather. This method based on ...

In this article, we put forward a novel method for atmospheric light estimation by detecting edge information. This method based on the observation that the visibility in the haze-opaque area of the foggy image is low on account of the degradation of ...