With the success of wireless sensor networks (WSNs), traditional engineering and infrastructure industries are starting to develop solutions using WSN technologies. One main challenges designing developing WSNs for industrial monitoring control is satisfying their strict reliability requirements. In this paper, we present a network-level model, namely, end-to-end data delivery (E2E-DDR), estimating optimizing performance WSNs. E2E-DDR framework presented capturing mapping function between...

In order to realize the Smart Grid vision, it is necessary have guaranteed Quality of Service (QoS) for communication and networking technology used in various stages Grid, ranging from power generation, transmission, distribution, customer applications. The low cost wireless protocols such as Zigbee (using IEEE 802.15.4 defined physical MAC layer) Bluetooth (IEEE802.15.1) are especially useful distribution system monitoring However, they do not support QoS typically a short propagation...

The network-induced delays have a great impact on microgrid performance and stability. In this paper, we proposed distributed cooperative secondary control with stochastic Markov time-varying delays, by which both output voltage/frequency restoration active power sharing can be obtained. A new small-signal model of the system is developed, model-based information Kalman observer introduced to acquire estimated state vector. Then, global closed-loop accommodated derived, corresponding...

In the application of wireless sensor networks (WSNs) to smart grid, real-time and accurate link quality prediction (LQP) is important determine which reliable enough undertake communication task. However, existing LQP methods are neither suitable describe dynamic stochastic features nor ensure validity results. this paper, a random-vector-functional-link-based (RVFL-LQP) algorithm proposed. The selects signal-to-noise ratio (SNR) as metric decomposes raw SNR sequence into time-varying...

Abstract Solar radiation prediction is a nonlinear and non-stationary process. It's hard to model with single method. A wavelet neural network was set in this paper. The process of solar forecasted by the decomposed into quasi-stationary at different frequency scales multi-scale characteristics transform. trained temperature, clearness index, phase space reconstruction data. Simulation results indicate that method satisfactory radiation.

Daily solar radiation prediction is a nonlinear and non-stationary process. It's hard to model with single method. A Genetic Algorithm Optimization of Wavelet Neural Network (GAO-WNN) was set in this paper. The process daily forecasted by neural network the decomposed into quasi-stationary at different frequency scales multi-scale characteristics wavelet transform. Input weights, output scale factors translation were optimized genetic algorithm. Gradient descent method used make further...

Burning state directly determines the clinker quality index in rotary kiln sintering process. A simulated feedback mechanism-based burning cognition intelligence method and a calculating model are explored for purpose of imitating human process with repeated comparison inference. The flame image feature space is optimized progressively using evaluation uncertain results different values demand to realize mode from global local. First, coupling operation training layer decision proposed,...

This paper presents an integrated modeling method providing superior Quality of Service (QoS) for wireless sensor networks (WSNs) which is suitable smart distribution grid (SDG) communication. Traditional QoS model based on IEEE802.15.4 protocol cannot meet the communication requirements multipriority data in grid. In order to specification power system communication, a new QoS-enabled medium access control (MAC) unfair competition channel mechanism (UCCAM) developed this paper. The proposed...

In this paper, we presented an algorithm for NLOS error mitigation based on adaptive Kalman filter with colored measurement noise. To eliminate which induced by TOF-based distance measurements, a noise model is firstly established according to and the parameters are adjusted dynamically severity of environment. Then combined filtering algorithm, process in real time order obtain optimal estimation. The simulation experiments show that has small high precision suitable real-time dynamic...

The hierarchical networked control has attracted many attentions in the field of islanded microgrid (MG). However, how to reduce effects caused by random packet loss communication is still need be studied. In this study, authors proposed a fully distributed cooperative secondary optimal for both frequency and voltage restoration. A consensus Kalman filter based estimator (DCKF‐estimator) introduced obtain estimation output state with loss. Then, incorporating DCKF‐estimator into...

Premature rupture of membranes (PROM) is a common obstetric complication frequently occurring with concomitant chorioamnionitis. The present study aimed to evaluate levels soluble triggering receptor expressed on myeloid cells-1 (sTREM-1) in serum and amniotic fluid pregnant women PROM compare sTREM-1 the commonly used laboratory indicators, C-reactive protein (CRP) white blood cell (WBC) count. A total 55 were enrolled. Their venous collected at delivery. concentrations determined by...

The wireless sensor network (WSN) has great prospects in monitoring and control of industrial plants devices. One the main challenges developing WSNs for applications is to satisfy their requirements reliability with strict bounds. Accurate prediction a radio link's helpful upper layer protocols optimise level quality service (QoS) performance. In this paper, predict bounds confidence interval packet reception ratio (PRR), link (RLRP) model proposed describing relation between metric's...

This paper presents an integrated modelling method to provide cross-layer control algorithm for wireless sensor network (WSN) suited smart distribution grid communication. The proposed is designed improving the quality of service (QoS) WSN established, by sharing information from different protocol layers. state parameters layers are transformed into corresponding concept nodes fuzzy cognitive map (FCM). Influence coefficients representing subordinate relationships obtained according in...

Recent advances in Micro-electro-mechanical Systems made Wireless Sensor Network (WSN) a viable solution for Smart Distribution Grid communication. However, the transitional and environmentrelated features seriously affect communication link quality Wireless-Sensor-Network-based smart distribution grid application. In this paper, novel Link Quality Estimation model is presented to estimate harsh environments. By theoretical analysis, background noise fluctuation signal strength attenuation...

Human health has become a social and personal focus. Targeting the problems of heterogeneity randomness crowd samples, diversity features feature values, an intelligent cognition method human states based on variant knowledge granularity feedback mechanism is explored in this paper to imitate process with repeated comparison inference, evaluate state quickly accurately. First, model interconnection between decision layer, training layer proposed, corresponding established. Second, bag words,...

Aiming at the costly explicit and implicit acknowledgements (ACKs) serious energy imbalance of existing flooding algorithm, a correlation-based coverage-aware energy-balanced probabilistic algorithm (CCEP) is proposed in this paper. CCEP distinguishes previous algorithms with three features: (1) it exploits link correlation between neighbours; one-hop neighbours that have high are assigned to an aggregate or acknowledgement (aggregate ACK), thus effectively ameliorating ACK implosion problem...

According to the off-line handwritten Chinese characters, a classification and recognition method which is combined by pruning FSVM coarse SVM fine proposed in this text .First cut no value minor reduce number of support vector machines, then determine through fuzzy membership when done. In classification, OAA algorithm used achieve same characters recognition. The simulation result shows that can improve rate speed Chinese.

In this paper, the off-line Chinese character image is transformed into ellipse shape of basic characters strokes in different position. The stroke "turning" and joint or crossover combined by strokes. neural network for extracting has been build up. research on double weights elliptical based biomimetic pattern. By fault-tolerant features 4 kinds stroke, 13 7 consistency intersection strokes, data-knowledge table constructed. method bionic recognition gives machine ability cognizing type...

Based on wind speed sequences, three-layer neural network model of prediction is analyzed to obtain the selecting method input, output and hidden layers' node parameters, predict through rolling data. In accord with nonlinear a BP established forecast speed. The feasibility validity this proved by simulation experiments.