Deep Hashing Based Fusing Index Method for Large-Scale Image Retrieval

Hashing has been widely deployed to perform the Approximate Nearest Neighbor (ANN) search for the large-scale image retrieval to solve the problem of storage and retrieval efficiency. Recently, deep hashing methods have been proposed to perform the simultaneous feature learning and the hash code learning with deep neural networks. Even though deep hashing has shown the better performance than traditional hashing methods with handcrafted features, the learned compact hash code from one deep hashing network may not provide the full representation of an image. In this paper, we propose a novel hashing indexing method, called the Deep Hashing based Fusing Index (DHFI), to generate a more compact hash code which has stronger expression ability and distinction capability. In our method, we train two different architecture’s deep hashing subnetworks and fuse the hash codes generated by the two subnetworks together to unify images. Experiments on two real datasets show that our method can outperform state-of-the-art image retrieval applications

Color Image Segmentation Based on Modified Kuramoto Model

AbstractA new approach for color image segmentation is proposed based on Kuramoto model in this paper. Firstly, the classic Kuramoto model which describes a global coupled oscillator network is changed to be one that is locally coupled to simulate the neuron activity in visual cortex and to describe the influence for phase changing by external stimuli. Secondly, a rebuilt method of coupled neuron activities is proposed by introducing and computing instantaneous frequency. Three oscillating curves corresponding to the pixel values of R, G, B for color image are formed by the coupled network and are added up to produce the superposition of oscillation. Finally, color images are segmented according to the synchronization of the oscillating superposition by extracting and checking the frequency of the oscillating curves. The performance is compared with that from other representative segmentation approaches

The relationship between childhood trauma and Internet gaming disorder among college students: A structural equation model

open access journalBackground The aim of this study was to investigate the mechanisms of Internet gaming disorder (IGD) and the associated interaction effects of childhood trauma, depression and anxiety in college students. Methods Participants were enrolled full-time as freshmen at a University in the Hunan province, China. All participants reported their socio-demographic characteristics and undertook a standardized assessment on childhood trauma, anxiety, depression and IGD. The effect of childhood trauma on university students' internet gaming behaviour mediated by anxiety and depression was analysed using structural equation modelling (SEM) using R 3.6.1. Results In total, 922 freshmen participated in the study, with an approximately even male-to-female ratio. A mediation model with anxiety and depression as the mediators between childhood trauma and internet gaming behaviour allowing anxiety and depression to be correlated was tested using SEM. The SEM analysis revealed that a standardised total effect of childhood trauma on Internet gaming was 0.18, (Z = 5.60, 95% CI [0.02, 0.05], P < 0.001), with the direct effects of childhood trauma on Internet gaming being 0.11 (Z = 3.41, 95% CI [0.01, 0.03], P = 0.001), and the indirect effects being 0.02 (Z = 2.32, 95% CI [0.00, 0.01], P = 0.020) in the pathway of childhood trauma-depression-internet gaming; and 0.05 (Z = 3.67, 95% CI [0.00, 0.02], P < 0.001) in the pathway of childhood trauma-anxiety-Internet gaming. In addition, the two mediators anxiety and depression were significantly correlated (r = 0.50, Z = 13.54, 95% CI [3.50, 5.05], P < 0.001). Conclusions The study revealed that childhood trauma had a significant impact on adolescents' Internet gaming behaviours among college students. Anxiety and depression both significantly mediated the relationship between childhood trauma and internet gaming and augmented its negative influence. Discussion of the need to understand the subtypes of childhood traumatic experience in relationship to addictive behaviours is included

Parapapillary βBM and γ zones played different roles in axial elongation among young adolescents using optical coherence tomography

Purpose: To evaluate the influencing factors of parapapillary BM and zones incidence in young adolescents and to explore their associations with axial length progression. Methods: In this prospective cohort study, 976 seventh-grade students from nine secondary schools in Beijing, China, were enrolled and followed up 1 year later. Parapapillary BM zone was defined as retinal pigment epithelium loss while Bruch\u27s membrane was present. Parapapillary zone was defined as the absence of retinal pigment epithelium and Bruch\u27s membrane. Logistic regression model was used to analyze the influencing factors of BM and zone incidence. A linear mixed model was used to analyze the associations between parapapillary zones and axial elongation. Results: Of the 976 participants, 139 (14.2%) had only BM zone, 398 (40.8%) had only zone, and 171 (17.5%) had both. At follow-up, the incidence of BM zone was 11.5% (76/659), and the incidence of zone was 9.7% (39/404). Optic disc tilt, thinner subfoveal choroid, and longer axial length at baseline showed a higher risk of zone incidence. The absence of zone at baseline showed a faster axial length progression. When the baseline axial length was 25 mm or longer, the BM zone was also related to the axial elongation. Conclusions: The zone was associated with axial length progression, and the BM zone was also associated with the axial length progression when the axial length exceeded 25 mm, which was consistent with the notion that excessive axial length growth not only is the extension of the eyeball but also has its own pathologic changes

Measurement of the Void Fraction of Gas-Liquid Two-Phase CO2 Flow Using Laser Attenuation Techniques

Carbon capture and storage (CCS) is a promising technology to reduce CO 2 emissions from industrial processes. However, void fraction measurement is one of the challenging issues to be solved for gas-liquid two-phase CO 2 flow measurement. This paper presents a novel measurement system using laser intensity attenuation techniques to measure the void fraction of two-phase CO 2 flow. The measurement system includes optical sensors, a laser detector array and a monolithic processor. The performance of the proposed measurement system is verified through experimental tests under various conditions, including stratified flow and bubbly flow. The void fraction of two-phase CO 2 flow ranges from 0 to 69%. Experimental results demonstrate that the system is capable of measuring the void fraction of CO 2 flow with an error between -2% and 3.6%

New Global Synchronization Analysis for Complex Networks with Coupling Delay

Global synchronization analysis for complex networks with coupling delay is investigated. Firstly the constant time delay is analyzed and then the case for time-varying delay is considered. Sufficient conditions for network synchronization are given based on Lyapunov functional, linear matrix inequality, and Kronecker product technique. The unknown variables in the sufficient conditions are fewer than those in the recent reference. Moreover, for the time-varying delay case, we find that the conditions are dependent on the bounds of both time delay and its derivative, and the derivative of the time-varying delay can be any value in the bounds. Finally, numerical examples are given to validate the effectiveness of the obtained results