In view of the actual processing conditions of leachate treatment of the Inner Mongolia's municipal solid wastes plant, the paper studies new leachate treatment process integration, in order to reduce cost, improv...
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In view of the actual processing conditions of leachate treatment of the Inner Mongolia's municipal solid wastes plant, the paper studies new leachate treatment process integration, in order to reduce cost, improve leachate's overall biodegradability, remove high concentration organic contaminants and ammonia-N. The experiment device of the process integration include: electro-coagulation + H 2 O 2 process, plain sedimentation process, activated sludge process and catalytic electrolysis process, and the COD and NH 3 -N concentration of the effluent of plain sedimentation and catalytic electrolysis at different times are monitored. According to the dynamic experiments, it was concluded that the designed process integration is feasible to treat the leachate of the Inner Mongolia's municipal solid wastes plant. The COD and NH 3 -N concentration of the effluent of the process integration is 30mg/L, 25mg/L respectively, under the concentration limit of the Solid Waste Landfill Pollution control Standard. The total operating cost of the process integration was 5.531 yuan/t, including energy consumption, iron consumption, pharmacy dosing expenses, electrode fee was not included.
In this study, a new type of training the adaptive network-based fuzzy inference system (ANFIS) is presented by applying different types of the Differential Evolution branches. The TSK-type consequent part is a linear...
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In this study, a new type of training the adaptive network-based fuzzy inference system (ANFIS) is presented by applying different types of the Differential Evolution branches. The TSK-type consequent part is a linear model of exogenous inputs. The consequent part parameters are learned by a gradient descent algorithm. The antecedent fuzzy sets are learned by basic differential evolution (DE/rand/1/bin) and then with some modifications in it. This method is applied to identification of the nonlinear dynamic system, prediction of the chaotic signal under both noise-free and noisy conditions and simulation of the two-dimensional function. Instead of DE/rand/1/bin, this paper suggests the complex type (DE/current-to-best/1+1/bin & DE/rand/1/bin) on predicting of Mackey-glass time series and identification of a nonlinear dynamic system revealing the efficiency of proposed structure. Finally, the method is compared with pure ANFIS to show the efficiency of this method.
To study structural and transport properties of the surface phases on silicon, a number of adsorbate/silicon systems on Si(100) and Si(111) surfaces has been investigated using scanning tunneling microscopy (STM), ref...
To study structural and transport properties of the surface phases on silicon, a number of adsorbate/silicon systems on Si(100) and Si(111) surfaces has been investigated using scanning tunneling microscopy (STM), reflection-high-energy-electron diffraction (RHEED) and in-situ electrical resistance measurements. Results of investigations of formation and electrical properties of Si-Al, Si-Na, Si-Ag and Si-In surface structure are presented.
In this paper, the authors studied the implementation issues of an explicit model predictive controller on a programmable electronic device. For the implementation of this controller is considered the programmable con...
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In this paper, the authors studied the implementation issues of an explicit model predictive controller on a programmable electronic device. For the implementation of this controller is considered the programmable controller architecture, hardware and software level, so the performance is optimized ensuring the feasibility of functioning. The main outcome is a series of recommendations to help implement the explicit MPC, which are applied to design the MPC of a DC-DC converter.
Resource management is a complicated problem in multiprocessor system. When tasks with real-time characteristic are scheduled on processor resource constraints such as CPU and memory have to be met, however, it is usu...
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Resource management is a complicated problem in multiprocessor system. When tasks with real-time characteristic are scheduled on processor resource constraints such as CPU and memory have to be met, however, it is usually difficult for a system to ensure load balancing and resource constraints simultaneity. In order to handle this problem lots of algorithms have been brought forward. In this paper, a load balancing policy is proposed to manage and integrate processing resource of multiprocessor system which is used to send packets of packets flows on time. The policy dynamically predicts the wait time before a packet to be processed based on the load of the processor and the timestamp of the packet, and decides the migration of packet between processors to guarantee that the packets can be processed before deadline. This policy can not only increase the multiprocessor utilization but also enhance the capacity of the system against the jitter of load by packets migration between the processors as well. We use simulation experiment to show that the policy can reduce the possibility of packets delay and increase the concurrency of flows that the system can serve.
Chapter 1 briefly introduces the problem formations and the organization of the book. In particular, given a feasible set of switching signals, the concepts of stability and stabilizability are introduced, and the rel...
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The Common Spatial Patterns (CSP) algorithm is useful for calculating spatial filters for detecting event-related desynchronization (ERD) for use in ERD-based brain-computer interfaces (BCIs). However, basic CSP is a ...
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The Common Spatial Patterns (CSP) algorithm is useful for calculating spatial filters for detecting event-related desynchronization (ERD) for use in ERD-based brain-computer interfaces (BCIs). However, basic CSP is a supervised algorithm suited only to two-class discrimination; it is unable to solve multiclass discrimination problems. This paper proposes a new method named the binary common spatial patterns (BCSP) algorithm to extend the basic CSP method to multi-class recognition. Our method arranges the spatial filters and Fisher classifiers in the form of a binary tree whereby N - 1 spatial filters and N - 1 Fisher classifiers are calculated for N class recognition. This is fewer than must be calculated in other methods (e.g. one-versus-rest, OVR). This makes the overall classification procedure less redundant. Simulation results show that BCSP has better performance than the OVR scheme and outperforms the three best teams in the 2008 BCI-competition.
Emergence of Web 2.0 technologies became a trigger for a revolution that goes far beyond the Web. For an average student Web was transformed from a steady, accessible source of information into a place of action and v...
Emergence of Web 2.0 technologies became a trigger for a revolution that goes far beyond the Web. For an average student Web was transformed from a steady, accessible source of information into a place of action and viable exchange of knowledge - a kind of a virtual classroom. Students started to look for experience and a touch to reality online, and this is where remote laboratories come in place. Such laboratories became an inevitable need in electrical and computer engineering courses dealing with microcomputers. This paper presents an overview of available architectures of microcomputer laboratories used today and addresses their most important limitations. Moreover, an important extension of such architecture is proposed allowing support for remote Wireless Sensor Network (WSN) laboratory. Different aspects of compatibility between microcomputer laboratories and WSNs have been examined to allow creation of an general extension model. With additional effort and adaptation, WSN nodes may serve remote clients as an economic and accessible microcomputer laboratory providing invaluable hands-on experience and a motivation for a course using it.
This paper addresses a robust H_(infinity) filtering problem for networked systems that are subject to both random transmission delays and packet dropouts. To start with, a data transmission model is established by em...
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This paper addresses a robust H_(infinity) filtering problem for networked systems that are subject to both random transmission delays and packet dropouts. To start with, a data transmission model is established by employing random series with Bernoulli distributions. A sufficient condition for robust stability with H_(infinity) constraints is derived for the filtering error system. The robust filter is designed in terms of the feasibility of a linear matrix inequality (LMI). The numerical examples are provided to show the effectiveness of the data transmission model and the proposed filtering method.
Random early detection (RED) is an effective active queue management (AQM) algorithm controlling network congestion by average queue length. However, RED is over-sensitive to congestion degrees and its parameters. To ...
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