Sensor technologies empower Industry 4.0 by enabling integration of in-field and real-time raw data into digital twins. However, sensors might be unreliable due to inherent issues and/or environmental conditions. This article aims at detecting anomalies in measurements from sensors, identifying the faulty ones accommodating them with appropriate estimated data, thus paving way reliable More specifically, we propose a general machine-learning-based architecture for sensor validation built...

Management strategies for sustainable sugarcane production need to deal with the increasing complexity and variability of whole sugar system. Moreover, they accommodate multiple goals different industry sectors wider community. Traditional disciplinary approaches are unable provide integrated management solutions, an approach based on systems analysis is essential bring about beneficial change The application this water management, environmental cane supply outlined, where literature...

Sensor technologies empower Industry 4.0 by enabling integration of in-field and real-time raw data into digital twins (DTs). However, sensors might be unreliable due to inherent issues and/or environmental conditions. This article aims at detecting anomalies instantaneously in measurements from sensors, identifying the faulty ones accommodating them with appropriate estimated data, thus paving way reliable DTs. More specifically, a general machine-learning-based architecture for sensor...

The rapid adoption of Internet-of-Things (IoT) and digital twins (DTs) technologies within industrial environments has highlighted diverse critical issues related to safety security. Sensor failure is one the major threats compromising DTs operations. In this article, for first time, we address problem sensor fault detection, isolation, accommodation (SFDIA) in large-size networked systems. Current available machine-learning solutions are either based on shallow networks unable capture...

Unbalanced development of Alborz Province in recent years has amplified groundwater security crisis as well water stress. This study conducted dynamic decision support system modelling sustainable resources management based on water-food-energy nexus (WFESN-SD-DSS). Using the results, scenarios were designed three categories solutions: 1- Groundwater security; 2- and 3- security. The WFEN-SD-DSS model findings implied that combined policies represented best solution these included: Aquifer...

The development of Digital Twins (DTs) has bloomed significantly in last years and related use cases are now pervading several application domains. DTs built upon Internet Things (IoT) Industrial IoT platforms critically rely on the availability reliable sensor data. To this aim, article, we propose a fault detection, isolation accommodation (SFDIA) architecture based machine-learning methodologies. Specifically, our exploits available spatio-temporal correlation sensory data order to...

Carbon capture and storage (CCS) is critical for climate-change policies strategies targeting global warming within the Paris Agreement. The overarching technological requirements are well described in strategic plans, yet several barriers exist to technology's wide-spread deployment, including improved cost-effectiveness enhanced process integration. For safe reliable operation of large-scale CCS systems, development effective Internet things (IoT)-based monitoring tools ensure flow...

To investigate the beneficial impacts of domestic waste water on soil properties, we conducted an experiment in lysimeter by measuring certain features essentially related to characteristics. The objectives this study were (i) filtration and (ii) effect of properties. In experiment, we had 15 lysimeters that 1 - 5 lysimeters irrigated by domestic wastewater primary drainage water was accumulated from these 6- 9 primary drainage water and secondary drainage water was 10, 11 12...

In this paper, we propose a novel sensor validation architecture, which performs fault detection, isolation and accommodation (SFDIA). More specifically, machine-learning based architecture is presented to detect faults in sensors measurements within the system, identify faulty ones replace them with estimated values. our proposed estimators on neural networks are constructed for each node order accommodate along classifier determine failure detection isolation. Finally, numerical results...

Tracking low‐angle targets is a serious problem in radar systems because of the multipath phenomenon. When signal reflected from ground surface, due to low altitude target, it enters main beam and seriously reduces its performance. The authors propose novel adaptive hybrid method based on complex angle (CA) array monopulse system. They present way reduce ambiguity CA method, then, eliminate effect by using beamforming provide an accurate estimate elevation angle. simulation results show...

In this experiment, we have used the soil profile as a biological filter that can to absorb pollution and microbes in domestic wastewater at Iran during 2009. this experiment, had 15 lysimeters, were planted canola (Brassica napus L.) in 1 5 lysimeters and were irrigated by with BOD5 about 150 mg/lit and primary drainage water accumulated. 6 9 lysimeters was planted alfalfa (Medicago sativa L.) irrigated primary then, accumulated secondary water. We irrigation 10, 11 12 inside basil (Ocimum...

In tracking operation, the signal reflected from target comes to antenna by way of two paths. The first is direct path, antenna, and second indirect due multipath phenomenon, surface then antenna. a low altitude situation, path can cause severe errors in operation as it enters main beam combines with signal. such scenario, fails track elevation angle target's image located under ground. A significant challenge systems mitigate effect. To do so, we extend geometric mean method present angles...

Abstract Several mathematical models are being used for assessing plant response to salinity of the root zone. Objectives this study included quantifying yield threshold value basil plants irrigation water and investigating possibilities using instead saturated extract in available estimating yield. To achieve above objectives, an extensive greenhouse experiment was conducted with 13 levels, namely 1.175 dS m −1 (control treatment) 1.8 10 . The result indicated that, among these models,...

In a low-angle tracking situation, estimating the elevation angle is challenging due to entrance of multipath signals in antenna’s main lobe. this article, we propose two methods based on extended Kalman filter (EKF) and frequency diversity (FD) process estimate isolated target. first case, simple weighting per-frequency estimates obtained (termed WFD). Differently, second matrix-based elaboration proposed MFD). The are completely independent prior knowledge geometrical information physical...

The rapid water level drawdown of the dam reservoirs is one important factors earth stabilities. This phenomenon might occur over lifetime dams and levees. In order to investigate effect hydraulic conductivity on level, an experimental model was constructed in flume. By obtaining parameters materials, flow through this modelled by SEEP/W software. After validation with numerical model, results were compared observed data. Finally, a good agreement between experiments predictions....

The multipath phenomenon causes error in elevation angle tracking operation of low altitude targets. Returning signals from the target after reflecting surface enter antenna main beam. In such circumstances, acts like a mirror and creates an image real beneath surface. Multipath effect elimination is major challenge systems. attempt to decrease effects, authors extended geometric mean method presented angles separation algorithm with monopulse antenna. proposed presents two equations for...