Deep learning-based method for mobile social networks with strong sparsity for link prediction by HE Yadi, LIU Linfeng

“…To address the issue of strong sparsity in link prediction for mobile social networks, a deep learning-based prediction method named DLMSSLP (deep learning-based method for mobile social networks with strong sparsity for link prediction) was developed. This method was designed to employ a combination of a Graph Auto-Encoder (GAE), feature matrix aggregation, and multi-layer long short-term memory networks (LSTM). …”
Get full text

User authentication of industrial internet based on HHT transform of mouse behavior by Yigong ZHANG, Qian YI, Jian LI, Congbo LI, Aijun YIN, Shuping YI

“…The rapid development of the industrial internet had caused widespread concern about the network security, and the end-user authentication technology was considered a research hotspot.According to the characteristics of human-computer interaction in industrial internet, an experimental website was designed.24 users' mouse behavior data in an uncontrolled environment were collected within 2.5 years to conduct case studies.Hilbert-Huang transform (HHT) was used to extract frequency domain features of mouse behavior signals, combined with time domain features to form a time-frequency joint domain feature matrix of 163-dimensional to characterize user mouse behavior patterns.Bagged tree, support vector machine (SVM), Boost tree and K-nearest neighbor (KNN) were used to build a user authentication model， and the comparison result showed that the Bagged tree had the best internal detection effect in this case, with an average false acceptance rate (FAR) of 0.12% and an average false rejection rate (FRR) of 0.28%.In external detection, the FAR was 1.47%.Compared with the traditional mouse dynamics method, the frequency domain information of mouse behavior extracted by HHT can better realize the user authentication, and provide technical support the security of the industrial internet.…”
Get full text

Handover algorithm for space-air-ground integrated network based on location prediction model by XIE Jianli, CHEN Long, ZHANG Zepeng, LI Cuiran

“…A network handover algorithm utility function characterized by quality of service (QoS) requirements, handover cost, and network load balancing was designed. A distributional deep Q-network (D-DQN) was employed to select the network nodes that could maximize long-term goals for execution handover. …”
Get full text

Inhibition of Carrageenan-Induced Cutaneous Inflammation by PPAR Agonists Is Dependent on Hepatocyte-Specific Retinoid X Receptor Alpha by Yu-Jui Yvonne Wan, Mostafa Z. Badr

“…The identification of RXRα as an important factor involved in the antiedema effect produced by agonists of the three PPAR subtypes is a significant achievement towards the goal of designing novel, effective anti-inflammatory drugs.…”
Get full text

Automatic incident detection in smart city using multiple traffic flow parameters via V2X communication by Zafar Iqbal, Majid Iqbal Khan

“…Moreover, these systems are designed for freeways/highways and are less compatible with city scenario due to its highly variable traffic density factor. …”
Get full text

DDAC: a feature extraction method for model of image steganalysis based on convolutional neural network by Xiaodan WANG, Jingtai LI, Yafei SONG

“…To solve the problem that for image steganalysis based on convolution neural network, manual designed filter kernels were used to extract residual characteristics, but in practice, these kernels filter were not suitable for each steganography algorithm and have worse performance in application, a directional difference adaptive combination (DDAC) method was proposed.Firstly, the difference was calculated between center pixel and each directional pixel around, and 1 × 1 convolution was adopted to achieve linear combinations of directional difference.Since the combination parameters self-adaptively update according to loss function, filter kernels could be more effective in extracting diverse residual characteristics of embedding information.Secondly, truncated linear unit (TLU) was applied to raise the ratio of embedding information residual to image information residual.The model’s coveragence was accelerated and the ability of feature extraction was promoted.Experimental results indicate that substituting the proposed method could improve the accuracy of Ye-net and Yedroudj-net by 1.30%~8.21% in WOW and S-UNIWARD datasets.Compared with fix and adjustable SRM filter kernels methods, the accuracy of test model using DDAC increases 0.60%~20.72% in various datasets, and the training progress was more stable.DDAC-net was proved to be more effective in comparsion with other steganalysis model.…”
Get full text

Mechanisms for introduction of pseudo ductility in fiber reinforced polymer composites- a review by Vinayak S. Uppin, P. S. Shivakumar Gouda, I. Sridhar Research Center, Department of Mechanical Engineering, SDM College of Engineering and Technology, Dharwad, Visvesvaraya Technological University, Karnataka, India.

“…Hence there is a need to explore the state of art technological developments in designing toughened composites by minimizing their factor of safety. …”
Get full text

Stochastic Modeling and Availability Optimization of Nuts Manufacturing Plant Using Markov Process and Particle Swarm Optimization by Naveen Kumar, Ashish Kumar, Deepak Sinwar, Monika Saini

“…These findings are beneficial for system designers and maintenance engineers to propose the maintenance strategies. …”
Get full text

Software Defi ned Satellite Network Assisted Multi-Domain Routing Strategy for Aeronautical Networks by Mo SHA, Kaixuan SUN, Huasen HE, Wenke YUAN, Zhicheng YE, Jian YANG

“…Satellite network layer and aeronautical network layer are treated as important parts of the next generation network, which will lead the world into the era of global interconnection.However, the high mobility and sparse distribution of aircraft limit the application of traditional routing algorithms originally designed for ground-based ad-hoc networks.Therefore, this paper used the aeronautical network to access software defi ned satellite network (Sat-SDN) for realizing real-time communication and state synchronization between aircraft via the inter-satellite and satellite-to-aircraft links.In order to extend the aeronautical networking and transmission mechanism to the global scope, a multiple domain division method was proposed, and an inter domain routing algorithm was presented.By analogy the refl ection principle of light, a routing learning method which limited the broadcasting of routing learning packets into a specifi c area was proposed, and eff ectively avoided severe communication overhead caused by state synchronization and fl ooding learning in large-scale networks.The real aircraft data was used for experimental simulation to compared the performance of proposed low-cost inter-domain routing algorithm (LIRA) with existing solutions.The simulation results showed that LIRA could eff ectively reduced the communication overhead and improved the transmission quality.…”
Get full text

Strategic adoption: unveiling the impact of e-Bupot application in government agencies by Kadek Surianingsih, Maria M Ratna Sari, I Ketut Yadnyana, Ni Made Adi Erawati

“…The e-Bupot application for government agencies is an information technology solution provided by the Directorate General of Taxes (DGT) of Republic of Indonesia. The e-Bupot is designed to simplify the fulfillment of tax obligations and enhance the overall convenience of taxpayers. …”
Get full text

Modeling the relationship between the perceived negotiation styles and conflict management among physical education experts by Mojtaba Hasannejad, Ali Zareı, Farideh Ashrafganjoueı

“…Standard questionnaire of negotiation styles designed by Pierre was used as a measuring tool. Also, testing the conflict management strategies, standard questionnaire of Robbins was used. …”
Get full text

Multiple Adversarial Domains Adaptation Approach for Mitigating Adversarial Attacks Effects by Bader Rasheed, Adil Khan, Muhammad Ahmad, Manuel Mazzara, S. M. Ahsan Kazmi

“…Although neural networks are near achieving performance similar to humans in many tasks, they are susceptible to adversarial attacks in the form of a small, intentionally designed perturbation, which could lead to misclassifications. …”
Get full text

Past, Present, and Future Perspectives on the Integration of AI Into Walkability Assessment Tools: A Systematic Review by Yasin Delavar, Sarah Gamble, Karla Saldana-Ochoa

“…Furthermore, AI tools empower walkability assessment by facilitating mapping, scoring, designing pedestrian routes, and uncovering previously unconsidered factors. …”
Get full text

Research on gating alignment strategy for flow scheduling in satellite formation by XU Chuan, ZHANG Rufeng, HE Xiongwen, CUI Zhaojing, ZHAO Guofeng

“…Secondly, an online rolling gray scale prediction algorithm was designed to predict the delay of inter-node links, and based on the prediction results, the gated list deviation of neighboring nodes could be corrected dynamically to ensure the consistency of multi-node gated scheduling. …”
Get full text

Smart Battery Storage Integration in An IoT-Based Solar-Powered Waste Management System by Olatunbosun A Ajibola, Omolola A Ogbolumani

“…A prototype system, designed, developed, and simulated using Proteus circuit simulation, incorporates IoT sensors, solar panels, and smart battery storage to optimise energy use and improve waste collection efficiency. …”
Get full text

Linguistic Features and English Interference on Bahasa Indonesia Usage among Indonesian TikTok Users by Renaldy Serby Yudistira, Ruswan Dallyono

“…To investigate this issue, this study is designed to explore linguistic features affected by language interference and factors contributing to such language interference on TikTok, specifically among Indonesian TikTok users. …”
Get full text

FPGA Implementation of Reconfigurable Finite State Machine with Input Multiplexing Architecture Using Hungarian Method by Nitish Das, P. Aruna Priya

“…The mathematical model for designing a complex digital system is a finite state machine (FSM). …”
Get full text

The Quality of Ranking during Simulated Pairwise Judgments for Examined Approximation Procedures by Paul Thaddeus Kazibudzki

“…In order to provide credible and high quality results, the problem is studied via a properly designed and coded seminal simulation algorithm, executed in Wolfram Mathematica 8.0.…”
Get full text

Performance Trades for Multiantenna GNSS Multisensor Attitude Determination Systems by Nathan A. Tehrani, Jason N. Gross

“…This study is motivated by the need for system designers, scientists, and engineers of airborne astronomical and remote sensing platforms to better determine which system configuration is most suitable for their specific application. …”
Get full text

Prevention of unplanned extubation in neonatal patients: Protocol for a systematic review and meta-analysis. by Ludmylla Cristina de Faria Pontes, Isac Davidson Santiago Fernandes Pimenta, Gidyenne Christine Bandeira Silva de Medeiros, Daniel Guillén-Martínez, Paloma Echevarria-Pérez, Grasiela Piuvezam, Helaine Carneiro Capucho

“…This study aimed to describe a systematic review and meta-analysis protocol that will identify and assess the effect of primary intervention measures designed to prevent UPE in NICU. A search will be carried out in the following databases: PubMed/Medline, EMBASE, Scopus, CINAHL, Cochrane Library, SciELO, and LILACS. …”
Get full text