HybridFA:a memory reduction technique for the AC automata based on statistics by Gang XIONG, Hui-min HE, Jing YU, Yan-bing LIU, Li GUO

“…Despite the fast speed in multiple string matching tasks,the advanced Aho-Corasick(AC) automata wastes storage memory to a great extent.Study indicated that the automata states have specific statistical access characteristics in practice.Accordingly,a series of algorithms based on statistical characteristics for building hybrid finite automata,named HybridFA,are proposed.This work completes partial states of the AC automata according to different features,including access frequency,state hierarchy,and combined characteristics respectively.Experimental results on the real-world datasets like Snort,ClamAV,and URL show that the storage space of HybridAC is reduced to less than 5% of the space cost by the advanced AC automata.Furthermore,HybridFA based on combined characteristics achieves the superior performance on matching speed and robustness comparing to other proposed algorithms.…”
Get full text

Fully Connected Neural Networks Ensemble with Signal Strength Clustering for Indoor Localization in Wireless Sensor Networks by Marcin Bernas, Bartłomiej Płaczek

“…The proposed method was verified and compared against state-of-the-art localization approaches in real world indoor environment by using both stationary and mobile sensor nodes.…”
Get full text

Learning of the user behavior structure based on the time granularity analysis model by Lin Guo, Xiaoying Liu

“…Extensive experiments on various domains demonstrate that our proposed method outperforms state-of-the-art baselines on synthetic and real-world datasets.…”
Get full text

On efficient iterative schemes for finding all solutions of non-linear engineering problems by Mudassir Shams, Nasreen Kausar

“…Nonlinear equations are important in engineering because they may simulate complicated real-world phenomena such as fluid dynamics, material stress, and electrical circuits, where linear assumptions fail. …”
Get full text

The Possibilistic Mean-Variance Model with Uncertain Possibility Distributions by Furkan Göktaş

“…After laying down the theoretical points of our approach, we illustrate it with a real-world example in the literature by using a software package for convex optimization. …”
Get full text

Generalized Outer Synchronization between Complex Networks with Unknown Parameters by Di Ning, Xiaoqun Wu, Jun-an Lu, Hui Feng

“…As is well known, complex networks are ubiquitous in the real world. One network always behaves differently from but still coexists in balance with others. …”
Get full text

Connectivity analysis of IoV based on scale-free network by Tao HAN, Wei HE, Jun DAI, Yong ZUO, Yang YANG, Xiaohu GE

“…The connectivity of moving vehicles is one of the critical metrics in Internet of vehicles (IoV) that critically influence the performance of data transmission.Due to the high-frequency dynamic changes of the network topology of the IoV, which causes the link to be easily disconnected frequently.It is a critical issue to reduce the probability of link disconnection, and reducing the randomness of link establishment improves the overall network connectivity.To solve the above problems, the network’s connectivity was analyzed under the line of sight path loss model and the interference model, and the dynamic growth (DN) algorithm was designed through the characterization of the IoV link in the real world.Moreover, a scale-free VANET was built through the network’s addition and deletion of nodes and link preference connections.Simulation results indicate that the overall connectivity of the network is improved by 16%.…”
Get full text

Scenario Planning in Managing Ecosystem Services and Natural Resources by Jiangxiao Qiu, Lorna Bravo

“…It explains how to construct and develop effective scenarios for decision making and provides illustrated, real-world examples across different scales. The goal is to introduce the concept of scenario planning to Extension and elaborate its potential to be incorporated into existing Extension programs to help develop robust, sustainable solutions to manage agriculture, ecosystem services, and natural resources in Florida.   …”
Get full text

Graph Sparse Nonnegative Matrix Factorization Algorithm Based on the Inertial Projection Neural Network by Xiangguang Dai, Chuandong Li, Biqun Xiang

“…Finally, simulations on numerical examples and clustering in real-world data illustrate the effectiveness and performance of the proposed method.…”
Get full text

Gender Recognition from Unconstrained and Articulated Human Body by Qin Wu, Guodong Guo

“…This paper proposes a method for gender recognition in articulated human body images acquired from an unconstrained environment in the real world. A systematic study of some critical issues in body-based gender recognition, such as which body parts are informative, how many body parts are needed to combine together, and what representations are good for articulated body-based gender recognition, is also presented. …”
Get full text

Fault diagnosis and auto dispatchin of power communication network based on unsupervised clustering and frequent subgraph mining by Jihua WU, Pengyu ZHU, Zichen WU, Bin GU, Tao HONG, Bo GUO, Jing WANG, Jingyu WANG

“…Fault diagnosis is one of the most challenging tasks in power communication.The fault diagnosis based on rules can no longer meet the demand of massive alarms processing.The existing approaches based on the supervised learning need large sets of the labeled data and sufficient time to train models for processing continuous data instead of alarms, which are far behind the feasibility of deployment.As for alarm correlation and fault pattern discovery, a self-learning algorithm based on the density-based clustering and frequent subgraph mining was proposed.A novel approach for automatic fault diagnosis and dispatch were also introduced, which provided the scalable and self-renewing ability and had been deployed to the automatic fault dispatch system.Experiments in the real-world datasets authorized the effectiveness for timely fault discovery and targeted fault dispatch.…”
Get full text

Concatenated Attention: A Novel Method for Regulating Information Structure Based on Sensors by Zeyu Zhang, Tianqi Chen, Yuki Todo

“…By splitting Query and Key matrices into submatrices, performing cross-multiplications, and applying weighted summation, the method optimizes intermediate variables without increasing computational costs. Experiments on a real-world crack dataset demonstrate its effectiveness in improving network performance.…”
Get full text

Classification Performance Analysis of Decision Tree-Based Algorithms with Noisy Class Variable by Abdulmajeed Atiah Alharbi

“…Class noise is a common issue that affects the performance of classification techniques on real-world data sets. Class noise appears when a class variable in data sets has incorrect class labels. …”
Get full text

Research on the Scheduling Problem of Movie Scenes by Yulian Liu, Qiuji Sun, Xiaotian Zhang, Yiwei Wu

“…This paper considers the factors affecting the cost of movie scenes shooting in the real world and constructs an integer linear programming model. …”
Get full text

A Robust Weak Taylor Approximation Scheme for Solutions of Jump-Diffusion Stochastic Delay Differential Equations by Yanli Zhou, Yonghong Wu, Xiangyu Ge, B. Wiwatanapataphee

“…Solution of the underlying initial value problems is important for the understanding and control of many phenomena and systems in the real world. In this paper, we construct a robust Taylor approximation scheme and then examine the convergence of the method in a weak sense. …”
Get full text

Connectivity Index in Vague Graphs with Application in Construction by Huiqin Jiang, Yongsheng Rao

“…Connectivity index (CI) in graphs is a fundamental issue in fuzzy graph theory that has wide applications in the real world. The previous definitions’ limitations in the connectivity of fuzzy graphs directed us to offer new classifications in vague graph. …”
Get full text

Method of Webshell detection based on multi-view feature fusion by Feng LIN, Liujing XU, Xiaohua CHEN, Weiqiang QI, Ke CHEN, Tiantian ZHU

“…Webshell is a malicious script file on the Web.It is usually uploaded by the attacker to the target server to achieve the purpose of illegal access control.In order to overcome the shortcoming of the existing Webshell detection methods,such as single network traffic behavior,simple by passed signature comparison,and easily bypassed signature comparison,a method of Webshell detection based on multi-view feature fusion for PHP Webshell detecting was proposed.Firstly,multiple features including lexical features,syntactic features,and abstract features were extracted.Secondly,fisher score was used to sort and filter all features according to the degree of importance.Finally,a model that can effectively distinguish Webshell from normal scripts was established through SVM.The large-scale experiment in real-world scenario shows that the final accuracy of our model can reach 92.1%.…”
Get full text

Virtual reality as a way to good business by Mošorinski Predrag

“…As businesses compete in the real world, they also compete in virtual worlds. Many companies now incorporate virtual world as a new form of advertising. …”
Get full text

Compound event barrier coverage in wireless sensor network by Yao-ming ZHUANG, Cheng-dong WU, Yun-zhou ZHANG, Shi-guang WEN

“…In wireless sensor networks (WSN),more and more people utilize barrier coverage to monitor compound events.The data of compound event barrier coverage (CEBC) comes from different types of sensors.It will be subject to multi-constraints under complex conditions in real-world application.Aiming at the merging problem of compound event confidence,a computational model based on joint probability density was proposed.In order to solve the optimization problem of compound event barrier coverage under multiple complex constraints,an active set multiplier policy (ASMP) was proposed.The algorithm can calculate the coverage ratio efficiently and allocate the sensor resources reasonably in compound event barrier coverage.The algorithm can simplify complex problems to reduce the computational load of the network and improve the efficiency of the network.The simulation results demonstrate that the ASMP algorithm is more efficient in the allocation of sensor resources and network optimization.…”
Get full text

Barriers to the implementation of artificial intelligence in small and medium-sized enterprises: Pilot study by Zavodna Lucie Sara, Überwimmer Margarethe, Frankus Elisabeth

“…Through a rigorous examination of real-world experiences and perceptions, this paper seeks to elucidate the multifaceted challenges that impede the effective deployment of AI solutions.…”
Get full text