An electronic analytical detector was designed in this paper, which can measure composite indicators of harmful substances contained in fresh milk. The basic principle of the instrument measuring composite indicat...
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ISBN:
(纸本)9781424479573
An electronic analytical detector was designed in this paper, which can measure composite indicators of harmful substances contained in fresh milk. The basic principle of the instrument measuring composite indicators was given firstly. Secondly the instrument structure and circuit design methods with parallel processing by a variety of sensors and processors were explained. On this basis, the mathematics model of fresh milk quality was given based on artificial neural network, which consists of a hidden layer structure, improved BP network. Finally the test data were presented, which shows the accuracy and reliability of the designed detector.
The aeration is used in different operations at wastewater treatment plants. The biological processes that are carried out at require sufficiently high dissolved oxygen concentration in order to maintain microorganism...
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The aeration is used in different operations at wastewater treatment plants. The biological processes that are carried out at require sufficiently high dissolved oxygen concentration in order to maintain microorganisms in an activated sludge. The paper proposes a centralized nonlinear model predictive controller of dissolved oxygen tracking and aeration system control. The controller is applied to wastewater treatment plant at Nowy Dwor Gdanski and its performance is compared with the performance of the control system that is currently applied at this site.
It is the mainstream method that in human face detection and recognition with AdaBoost as the representative based on statistical learning method. Detection rates have reached a high level, and can achieve real-time d...
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ISBN:
(纸本)9781424472352
It is the mainstream method that in human face detection and recognition with AdaBoost as the representative based on statistical learning method. Detection rates have reached a high level, and can achieve real-time detection. However, AdaBoost algorithm treats equally for different categories, there is no distinction between the cost of the different error categories. This paper presents a new cost-sensitive Ada Boost-based face detection algorithm, ensuring the detection rate and speed, effectively reducing the false detection rate, and improving the detection accuracy.
control technology underpins the operation of many, and arguably all, modern high technology systems. Such systems include transportation (aircraft, high speed trains, marine vessels, automobiles), telecommunication s...
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ISBN:
(纸本)9781424456956
control technology underpins the operation of many, and arguably all, modern high technology systems. Such systems include transportation (aircraft, high speed trains, marine vessels, automobiles), telecommunication systems, electricity networks, mining, minerals processing and agriculture. A particular area where control is playing an increasingly important role is industrial electronics. In this paper we will adopt a controlengineering perspective to reflect on the opportunities and challenges that exist in the application of advanced control to these systems.
In this paper, characteristics of weighted coverage model for wireless multimedia sensor networks are analyzed, and the distribution of orientation and location of occlusion-free surveillance is discussed. Subsequentl...
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In this paper, characteristics of weighted coverage model for wireless multimedia sensor networks are analyzed, and the distribution of orientation and location of occlusion-free surveillance is discussed. Subsequently, the concept of weighted coverage for different sub-regions is provided, and a novel coverage enhancement algorithm of occlusion-free surveillance model based on genetic algorithm is proposed. Then, the discrete model of enhancement algorithm is presented for simplifying computation and optimization. The results of experiments and simulations show that the proposed algorithm can optimize the weighted coverage rate of occlusion-free surveillance in WMSN, and make coverage rate more stable when obstacles are increased.
In this paper, sensors, which are directly installed on the surface of the mill, are used to collect mill's signals by wireless. The frame of the system is introduced and the hardware and software is designed in d...
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In this paper, sensors, which are directly installed on the surface of the mill, are used to collect mill's signals by wireless. The frame of the system is introduced and the hardware and software is designed in details in this paper. With the transmission mode of I 2 S and MCU of AT89S2051, the transform from analog signals to digital signals , data's transmission by wireless is achieved by this system. On this basis, the program designed is not only good at collect mill's signals, but also restraining the interference, analyzing spectrum. So the program can effectively achieve the mill state detection.
Since the medical training samples are very limited, it is difficult to construct a statistical shape model with good generalization using few samples. In this paper, we propose a novel statistical shape modeling meth...
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Since the medical training samples are very limited, it is difficult to construct a statistical shape model with good generalization using few samples. In this paper, we propose a novel statistical shape modeling method using 2D PCA. The 3D shape is represented as a matrix by spherical parameterization. The experiments showed that our proposed method can reconstruct statistical shape model with good generalization even using fewer samples.
In this paper a new approach to multiobjective control is proposed. The approach is based on Model Predictive control but is extended to account for several independent objective functions. This is done by substitutin...
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In this paper a new approach to multiobjective control is proposed. The approach is based on Model Predictive control but is extended to account for several independent objective functions. This is done by substituting a single objective predictive optimisation task with the multiobjective one. A dedicated method of selecting a unique solution from the resulting Pareto front is then required to be applied to the plant. An adaptive selection mechanism is proposed. It adjusts itself to the current Pareto front by means of updating the utopia point and span of the front based on the current front. Moreover, a way of introducing preferences to the selection mechanism is proposed. The derived adaptive multiobjective model predictive controller is then applied to integrated quality and quantity control of drinking water distribution system
The short term load forecasting plays a significant role in the management of power system supply for countries and regions, in particular in cases of insufficient electric energy for increased needs. A back-propagati...
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The short term load forecasting plays a significant role in the management of power system supply for countries and regions, in particular in cases of insufficient electric energy for increased needs. A back-propagation artificial neural-network (BP-ANN) genetic algorithm (GA) based optimizing technique for improved accuracy of predictions short term loads is proposed. With GA's optimizing and BP-ANN's dynamic capacity, the weighted GA optimization is realized by selection, crossing and mutation operations. The performance of the proposed technique has been tested using load time-series from a real-world electrical power system. Its prediction has been compared to those of obtained by only back-propagation based neural-network techniques. Simulation results demonstrated that the here proposed technique possesses superior performance thus guarantees better forecasting.
This paper is to introduce the design and optimization the PoE Hub with redundancy based on the principle of EMC; through the simulation and analysis by FEM to the effectiveness of the hub of the electromagnetic shiel...
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This paper is to introduce the design and optimization the PoE Hub with redundancy based on the principle of EMC; through the simulation and analysis by FEM to the effectiveness of the hub of the electromagnetic shielding to enhance anti-interference performance of the hub according to the optimization to the problems discussed in the simulation. Having the aid of EMC simulation software, the analysis problem being found during the test of hub is also get the effective solution. The method of the analysis testing and problem-solving will be the guidance and reference to the design and research of the network equipment based on the principle of EMC in the future.
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