Background: To satisfy the battle need, information transmission delay of Mobile Ad Hoc Networks (MANETs) which are neural network and channel for modern battlefield must be lower. Therefore, design low-delay routing algorithms is great significance improving operational capabilities wide-area directional MANETs. The traditional algorithm mostly based on OSI/RM model, not global optimization, resulting in having adaptability performance being far from optimal. Objective: An named MNCR(MAC...

The underground cement pipeline network is critical in urban infrastructure, such as sewage drainage and fluid transportation. Pipelines are deeply buried, so the damage difficult to be detected. It of great significant monitor crack real time. In this research, a data compression evaluation method using musicalized sonar Gaussian mixed model (GMM) was proposed. First, echo signal sampled discretized into four indicators by model. Then, distribution multiparameters analyzed GMM. Frechet...

An IVC (Inter-vehicle communication) network is a type of mobile ad hoc networks (MANET) in which high-speed vehicles send, receive, and forward packets via other on the roads. can provide useful applications future Intelligent Transportation Systems. However, due to frequent topology changes, routing path an breaks easily. As such, protocol proposed for general MANET (e.g., AODV) performs poorly networks. To address this problem, we designed implemented intelligent flooding-based conducted...

Guided waves-based structural health monitoring (SHM) methods have potential for practical applications, since they are sensitive to small damages and able realize large area monitoring. Among these methods, the Reconstruction Algorithm Probabilistic Inspection (RAPID), using a Piezoelectric transducer (PZT) sensor array, is one of most widely used imaging algorithms perform active damage localization. However, sensing paths distributed inside array with non-uniform density, RAPID algorithm...

Moisture permeation would lead to damage accidents. It is of great significance measure and monitor the moisture states underground sedimentary rock engineering in real time. In this research, a reliability assessment method for based on acoustic emission (AE) mutual information was proposed. First, relationship between multiple AE parameters analyzed. Then mechanical were fit by probabilistic method, so that could be assessed with data-driven approach. The experiment showed identify samples...

Pipeline damage could lead to accidents such as the ground subsidence and rainwater backflow. It is critical monitor locate in real-time for safety of urban infrastructure. In this research, a curved coordinate transform- reconstruction algorithm probabilistic inspection (RAPID) with Bayesian method was proposed pipeline. First, transform presented. The correlation-based probability density calculated system. Then, time flight parameter extracted using Hilbert transform. ellipse trajectory...

Acoustic emission (AE) and vibration signal are significant criteria of damage identification in structural health monitoring (SHM) engineering. Multi-disciplinary knowledge synergistic parameter effects technical challenges for assessment modelling. This study proposes a cause-and-effect analysis method based on information entropy. Monitoring data is used to form time-domain feature wave (TFW). The strength degradation factor (DF) would be define entropy (SDIE) vector. cause effect model...

Moisture is a vital factor in the structural stability of sandstone, which main component low-permeability reservoir rocks. Hence, studies into moisture identification are crucial. Diverse information about rock, such as its and mechanical parameters, can be obtained from acoustic emission (AE) signal. However, types AE parameters varied, rock that represented by them different. Traditional methods parameter selection mostly based on correlation between experience researchers, not accurate...

Studies on the moisture and damage state of rocks generally focus qualitative description mechanical information rocks. This method is not applicable to real-time safety monitoring rock mass. In this study, a musical staff computing model used quantify acoustic emission signals with different patterns. Then, random forest (RF) adopted form staff-RF for pattern identification moisture. The entire process requires only AE signal does require conditions

Structural health monitoring system should handle massive sensor information correctly and complete the damage location evaluation. This study proposes a structural evaluation model inspired by memory causal reasoning of human brain. Mass-monitoring data filtering is conducted in short-term area. The long-term area stores useful that contains characteristics has two functions. First, support degree index deduced to locate source basement. Second, historical acoustic emission sparse...

Seepage would affect the stability of rock and increase risk accidents. In this paper, a Hellinger-TOPSIS-optimized entropy microseism method for seepage damage sensing monitoring was proposed. First, multi parameters were extracted, their importance evaluated by TOPSIS (Technique Order Preference Similarity to Ideal Solution) method. Then, Hellinger distance calculated using Bhattacharyya coefficient. Finally, level assessed according self-information orders distance. The experiment showed...

Abstract Underground concrete pipes are critical for the safety of urban infrastructure. Cracks could lead to accidents such as fluid spillage and ground subsidence, well waterlogging. Thus, it is great significance measure monitor crack pipeline. In this study, a fuzzy monitoring method pipe damage based on microseism signal Gaussian Mixed Model (GMM) analysis was proposed. First, multiple parameters were extracted. Then, Criteria Importance Through Intercriteria Correlation (CRITIC) weight...

In order to improve the accuracy of transformer fault identification using nature-inspired algorithms, an method based on GWO (Grey Wolf Optimizer)-optimized Dual-channel MLP (Multilayer Perceptron)-Attention is proposed. First, a model constructed by combining AM (Attention Mechanism) and MLP. Subsequently, algorithm used optimize number nodes hidden layer in MLP-Attention model. Typical faults are simulated DDRTS (Digital Dynamic Real-Time Simulator) system. Experiments showed that GWO-...

When a short circuit occurs in the power supply area of distribution network with high-permeability distributed generation, line current will increase, voltage drop sharply, and fault characteristics be more complex. Therefore, automatic, quick, accurate location sections is great significance to reliability supply. In order prevent large-scale outages caused by failure feeders transformers, this paper proposes novel method locate active networks taking into account data area. On basis...