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Recent years have seen a significant increase in the number of sensors and resulting event related sensor data, allowing for a better monitoring and understanding of real-world events and situations. Event-related data come from not only physical sensors (e.g., CCTV cameras, webcams) but also from social or microblogging platforms (e.g., Twitter). Given the wide-spread availability of sensors, we...
For the coordination control problem of production, transportation and inventory in the presence of fuzzy random demand, fuzzy transportation time and fuzzy inventory costs, a coordinated optimal of transportation-inventory model under the control policy of shipping point is established. The possibility mean value concept and function principle of fuzzy number are used here to solve the problem. In...
In this paper, we propose a principled framework for pornographic image recognition. Specifically, we present our definition of pornographic images, which characterizes the pornographic contents in images as the exposure of private body parts. As the private body parts often lie in local image regions, we model each image as a bag of local image patches (instances), and assume that for each pornographic...
Natural language processing is one of the important research in the field of artificial intelligence, and tacit knowledge expressed by natural language is the research hotspot. In order to provide a mathematical tool for mining tacit knowledge, we establish a concrete model of 6-ary linguistic truth-valued concept lattice to deal with natural language and introduce a mining algorithm of tacit knowledge...
Non-photorealistic rendering (NPR) is becoming a research hotspot in the field of computer graphics in recent years. There have been a lot of achievements about computer algorithm for western paintings. It is still at a preliminary stage for Chinese paintings. The only related work is about freehand brushwork in traditional Chinese paintings instead of traditional Chinese realistic paintings. A novel...
Multiplayer Online Battle Arena (MOBA) games are among the most played digital games in the world. In these games, teams of players fight against each other in arena environments, and the gameplay is focussed on tactical combat. In this paper, we present three data-driven measures of spatio-temporal behaviour in Defence of the Ancients 2 (DotA 2): 1) Zone changes; 2) Distribution of team members and:...
This paper presents a situation assessment system structure of the warships-airplanes joint operation and a new situation assessment algorithm based on parameter learning in. Bayesian network. Previously, situation assessments are usually operated by using a normal kind of Bayesian network with immutable probability distribution, which may cause the evaluation is too subjective. Therefore, a Bayesian...
We consider the problem of introducing network coding in a network in a manner that balances the benefits obtained from coding with the costs of providing coding, where such costs depend both on the number of nodes performing coding and the volume of traffic that is coded. Previous work has envisaged either the minimization of the number of nodes performing coding, which is a NP-hard problem, or the...
The application of PMU measurements and perfect regulation with robust control to damp inter-area oscillations is investigated. Combined with the robust control theory, a perfect regulation control with robust performance is obtained. The closed loop eigenvalues are gradually increasing from the under damping or negative damping to positive damping. A 4-machine 13-bus study system reinforced is considered...
Network coding has been shown to be the solution that allows to reach the theoretical maximum throughput in a capacitated telecommunication network [1]. It has also been shown to be a very appealing and practical alternative to routing-based approaches to send traffic from sources (servers) to terminals (clients) for many different applications. However, the initial theoretical claim of throughput...
This paper investigates the relationships between carbon emission efficiency and economic growth in China based on the DCH hypothesis, using Chinese provincial data over 1980–2008. It is found that there is a long-run cointegrating relationship between economic them. The carbon emission efficiency based on DSBM model is improved in past years and the double convergence hypothesis is not confirmed.
The goal of the paper is to provide RFID based management methodologies for the production and distribution processes in the life cycle management of home appliances. Major hardware components and software functions of the process management systems are described as a combination case of closed-loop and open-loop applications. For the closed-loop application in factories, HF RFID tray tags, workstation...
In this essay, the comparison of three multi-objective optimization approaches MOPSO, NSGA-II and MOSCEM-UA has been carried out in the auto calibration of hydrological model- Hymod. By carrying out the calibration on two objectives of high flow and low flow objective functions, the Pareto front can be drawn. The performance of the three optimization algorithms is analyzed depending on three criterions...
Wavelet neural network is a powerful tool for rainfall-runoff (RR) prediction. In this essay, a neural network based on wavelet function was proposed. But due to the probability of reaching local minimum of WNN, an improved simulated annealing neural network SAWNN was used in comparison of the WNN, the SAWNN has the ability of reaching the global minimum by employing the disturbing function and is...
A hybrid approach of hazard estimation was proposed to estimate the real hazard rankings of chemical hazard installations. 4 popular methods were selected to synthesize the hybrid approach by AHP, including critical factor (CF), consequence analysis (CA), Dow's index and Mond's index. A hierarchy structure was built to estimate the relative credibility of the selected methods. Next, hazard index (HI)...
The measurement principle and hardware structure of a new-style time-difference method ultrasonic flow meter are presented. Software arithmetic based on FPGA high-speed data sampling technology is put forward. Sample speed is up to 80 MHz and sample depth is 1 K byte, it can fulfill the requirement of ultrasonic flow meter software arithmetic to sampling. The design can upgrade on-line. Thus, system's...
Risk-based maintenance (RBM) approach is helpful to develop a cost-effective maintenance plan to ensure benefit and safety with low maintenance cost. However, most maintenance is imperfect in process industry. The imperfect effect has not been considered in the maintenance planning step in the previous works on RBM strategy. As a result, they could hardly fit the reality. An improved RBM approach...
We consider the problem of supply chain coordination when the supplier is unreliable. By unreliable, we mean the supplier that with some probability delivers an amount strictly less than the amount desired. We formulate the decision models under the quantity flexibility contract model with unreliable supply. The analysis results show that the quantity flexibility contracts with unreliable supply can...
The values of a board have a direct relationship with the grading determined by the number and distribution of defects. Currently, wood defects recognition research are one of the key interests in the wood industry. In this paper, DWT and NMF are employed and we apply the decomposition to wood feature selection. The feature images by DWT can describe the characteristics and differences of the defects...
In this paper, we investigate an optimal ordering policy in a dual-supplier system with forecast update when considering supplierpsilas unreliable lead-time and minimum lot size. It is showed that the optimal order quantity and expected profit of unreliable lead-time are smaller than those without uncertainty. The upper limits of supplierspsila minimum lot size that the manufacturer can accept are...
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