The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
To ensure that people can supplement enough water at the right time, an initiative service method based on intention understanding for drinking service robot is proposed. Firstly, individual factors and environmental factors which are associated with personal intentions are collected. Secondly, users' intention and desire degree for intention are obtained by an improved Fuzzy-Context-specific Intention...
Coverage issue in directional sensor networks (DSNs) is different from traditional omni-directional wireless sensor networks (WSNs) due to the limited angle of view and adjustable working direction. This paper sets up a model of monitoring area and a model of sensing area according to the unique characteristics of directional sensor and then derives an optimization model for area coverage ratio maximization...
This paper presents a trajectory tracking control strategy based on the finite element method for a planar three-link underactuated manipulator with a passive third joint. From the mechanical structure, the manipulator can be thought of as composed of two parts. The first part is the first link of the manipulator, which is a single link manipulator system. The second part consists of the remaining...
Cognitive radio (CR) is a promising method suitable for solving inefficiency spectrum policy by opportunistically identifying the vacant portions of the spectrum that are used by primary users (PUs). In cognitive radio ad hoc networks (CRAHNs), secondary users (SUs) can opportunistically utilize the spectrum that is available from PUs. In this paper, we propose a neighbor-aware distance estimated...
Adaptive dynamic programming (ADP) is a prevalent way to solve the coupled Hamilton-Jacobi-Bellman (HJB) equations of the optimal consensus control for multi-agent systems (MAS). Neural networks (NNs) are normally used to approximate the value functions in ADP. However, NNs with manually designed features may influence the approximation ability. In this study, kernel-based methods which do not need...
In networked load frequency control (LFC) systems, time-varying delays could come from two aspects: measurements' transmission from power plant to control center and control signals from the control center to plant side, because of the use of open communication networks. Those delays can affect the dynamic performance and the stability of the system. In this paper, the two delays are considered in...
A two-layer fuzzy kernel regression (TLFKR) model is proposed for understanding human emotional intention in human-robot interaction, where TLFKR model consists of two layers, including fuzzy c-means (FCM) with kernel ridge regression (Kernel 1) for information analysis layer, fuzzy support vector regressions (FSVR) (Kernel 2) for intention understanding layer. TLFKR model represents the weight impact...
Graph analytics have been gaining tractions rapidly in the past few years. It has a wide array of application areas in the industry, ranging from e-commerce, social network and recommendation systems to fraud detection and virtually any problem that requires insights into data connections, not just data itself. In this paper, we present GeaBase, a new distributed graph database that provides the capability...
A cooperative multi-agent system entitles some independent agents to complete complex tasks through coordination and cooperation. Since the dynamics of physical agents are so complex that the environment of learning is indeed stochastic, the paper introduces the decentralized multi-agent reinforcement learning (MARL) algorithm, named as Decentralized Concurrent Learning with Cooperative Policy Exploration...
This paper proposes a robust iterative learning control method for the refining furnace alloy weighing process to solve the problem of the poor control accuracy and stability caused by the changing of alloy properties and the frequency of the vibration feeder. First, a two dimensional (2D) weighing model was established based on the analysis of the dynamic characteristics of alloy weighing process...
For decades, plasmonic metal have been used to support surface plasmons and to achieve nonlinear optical effects. This electronic dplasmonic metal have been used to support surface plasmons and to achieve nonlinear optical effects. With the development of nanotechnology, nano-sized metallic structure such as core-shell sphere or cylinder can be fabricated with very small size. For on-chip compact...
This paper presents a hybrid diagnosis and tuning method of coaxial cavity filter based on experience and data. The method is based on the experience of skilled staff at the initial stage of tuning, and put the bandpass and echo curve of the filter to the frequency range. In the second stages of the tuning, the phase shift is removed, which is caused by the transmission line and the higher order mode...
Accurate short-term wind power prediction can improve the trade and the dispatch level of wind power. To predict the short-term wind power, we investigated the empirical mode decomposition (EMD) of numerical weather prediction (NWP) and genetic algorithm (GA) optimization of support vector regression (SVR). First, the wind speed data from NWP is decomposed into the EMD components, including multiple...
According to the hierarchical control system of sintering production process, a multi-layer performance assessment method is proposed. We discuss the structure, function and technology used of multi-layer performance assessment strategy which is composed of sintering comprehensive coke ratio (CCR) assessment module, sintering ignition assessment module and fuzzy synthetic decision-making module. The...
In industrial processes, valve stiction often induces loop oscillations, and limits the control loop performance. To better control the plant with valve stiction, in this paper, the equivalent-input-disturbance (EID) approach is incorporated into the conventional PID control system to improve the ability of disturbance and nonlinearity rejection. The newly proposed method uses a classic two-parameter...
To diagnose the specific reasons that lead to deterioration of controller performance and improve the diagnostic accuracy, a performance diagnosis method based on eigenvector subspace K-mean clustering is proposed. Firstly, the number of standard deterioration performance subspace with different degrees of deterioration information is increased on the basis of the eigenvector subspace distance diagnosis...
The existing power system fault analysis method is based on the information of power system relay protection and sensor device to determine the location and type of fault. With the continuous expansion of the power system and the increasing complexity of the structure, excessive alarm information makes it difficult to diagnose the power system faults timely and effectively. A fault diagnosis method...
In the blast furnace, due to the different changing frequency of different operations, and the different reaction time of gas, liquid and solid materials, there exists multi-timescale characteristics in the iron-making process. However, not enough attention has been paid to this characteristic, most of the analyses on the blast furnace state before are under a fixed time scale. So, this paper makes...
Sinter ore is the raw material of the iron and steel production. A sintering production process is with high energy consumption and large CO2 emissions. It is important to achieve the green manufacturing of the sinter ore. In this paper, an optimization and control system for the carbon efficiency (OCSCE) in the green manufacturing of the sinter ore is designed from the point of view of the maximum...
Through the analysis of sintering process and the relationship between sintering thermal state and sinter product rate, this paper determines the key factors influencing the sinter product rate, and proposes a method of sinter product rate forecasting based on T-S fuzzy model. Based on the extraction of the characteristic parameters of the thermal state of sintering process, the input of the model...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.