In recent decades several industrial activities polluted the soil,which caused the accumulation of heavy metals to an extent greater than the natural *** is mainly typical of countries,where mining and industry plays ...
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In recent decades several industrial activities polluted the soil,which caused the accumulation of heavy metals to an extent greater than the natural *** is mainly typical of countries,where mining and industry plays or has played an important role in the *** utilization of these lands is an economic interest,since locating the contamination,controlling its spreading and maintaining the area has *** of the methods for remediation is phytoextraction,during which heavy metals,especially harmful to water and soil,are removed from the soil by plants capable of accumulating ***,during the combustion of these plants their heavy metal content is replaced into the formed gaseous and solid combustion remains,so the hazard,composition and treating method of these remains must be defined by the appropriate *** this article we present some part of the results of this research,where we examine the gaseous and solid pollutant content of flue gas formed during combustion,as well as the heavy metal content of fly *** made two different experiments for domestic and semiplant *** have used oak and poplar from a heavy metal contaminated area in both *** domestic examination was conducted in a 7 kW hearth with a closed combustion chamber,the semiplant examination was carried out in a 0,5 MW capacity furnace equipped with an automatic fuel feeding system and a cyclone dust *** have measured the composition of flue gas in both firing experiments with a HORTB A PG-250 type portable gas analyzer,in the case of the analysis of heavy metal content of fly ash DX4 ED AX EDS microprobe of an AMRAY 1830 Iscanning electron microscope and ICP-AES,using a 720 ES instrument was *** on our results,it can be determined,that the combustion device used to burn biomass grown on heavy metal polluted areas- brownfield lands- must make it possible to separate fly ash from the flue gas and allow the handling of soli
Heterogeneous traffic data collected from different types of sensors are fused for estimating traffic states more *** quality and fusion method are two key issues required to be solved in the traffic state *** this pa...
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Heterogeneous traffic data collected from different types of sensors are fused for estimating traffic states more *** quality and fusion method are two key issues required to be solved in the traffic state *** this paper,we propose a fusion method of heterogeneous traffic data based on the Kalman filters(KF) and Gaussian mixture models(GMM).The noise in collected raw data is reduced by the KF in order to improve the quality of input data for *** vectors of historical data from global positioning system(GPS) and remote traffic microwave sensors(RTMS) in different traffic states are modeled with multiple multi-variate GMM ***,the estimated traffic state can be obtained by computing the posterior probabilities with the vector data and *** of our work is examined by series of experiments,and the results show that the proposed method is effective for improving the precision of traffic state estimation.
According to the lack of time consuming of global searching and considering only color error of image restoration algorithm based on the sample proposed by Criminisi,this paper proposes an improved image restoration m...
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ISBN:
(纸本)9781467349970
According to the lack of time consuming of global searching and considering only color error of image restoration algorithm based on the sample proposed by Criminisi,this paper proposes an improved image restoration method,which narrows search range of the optimal matching block according to segmentation pretreatment of the original image;and uses new matching criterion based on the color-structure-distance feature,through the fusion of D-S evidence theory,to determine the optimal matching *** experimental result has showed the method not only can improve the image quality,but also can shorten the time of image restoration.
With parallel file systems increasingly growing in size, the performance of metadata I/O becomes critical for overall performance. Metadata-intensive applications create a lot of metadata I/O requests with a small amo...
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With parallel file systems increasingly growing in size, the performance of metadata I/O becomes critical for overall performance. Metadata-intensive applications create a lot of metadata I/O requests with a small amount of data, making metadata access become the bottleneck of system. We propose an optimization method based on aggregating and merging requests for metadataintensive I/O to deal with this problem. Extensive simulations show that the aggregate throughput of intensive file creating can be increased by up to 15.28 times and average response time can be decreased by factors of up to 99.27 percent when the aggregation period and request interval is configured as 0.8ms and 0.025 ms respectively. Simulations also show that the aggregate throughput of intensive metadata access can be increased by up to 8.45 times and average response time can be decreased by factors of up to 99.02 percent when the merging period and request interval is configured as 0.4ms and 0.025 ms respectively. Meanwhile, experiments show that our method can scale well with the number of metadata servers and clients.
In the single machine environment,the problems of Apriori and FP-Growth algorithm in large-scale data association rules mining are high memory consumption,low computing performance,poor scalability and reliability and...
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ISBN:
(纸本)9781467349994
In the single machine environment,the problems of Apriori and FP-Growth algorithm in large-scale data association rules mining are high memory consumption,low computing performance,poor scalability and reliability and so ***,we put forward a new implementation method which is based on MapReduce parallel environment for mining frequent itemsets to generate association rules and is verified by using different sizes of real datasets with different nodes in the cluster,meanwhile,selecting "speedup,scalability and reliability" as an *** results show that our method is feasible and valid and is able to improve the overall performance and efficiency of Apriori and FP-Growth algorithm to meet the needs of large-scale data association rules mining.
The college sports theory teaching intelligent exam system has a simple interface which is easy to operate and even the students not familiar with computer can handle it easily. Now the senior school students begin to...
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ISBN:
(纸本)9783642330292
The college sports theory teaching intelligent exam system has a simple interface which is easy to operate and even the students not familiar with computer can handle it easily. Now the senior school students begin to have computer class so they can handle the system only need to know the basic Windows operation and typewriting. Meanwhile, the operation system achieves good effects in practical application, such as convenient exam, rapid paper building, easy grading and high efficiency. The scores directly output can be easily handled or recorded by computer. This scientific design reduces teacher's work load of setting questions, grading and correcting exam papers and recording scores and then improves exam efficiency substantially, saves resources like paper, and enhances the fairness and justice of exams.
In recent years, Histograms of Oriented Gradients(HOGs) have been widely applied in many fields due to the insensitivity to directions, scales, and illumination. It is difficult for traditional detection and positioni...
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In recent years, Histograms of Oriented Gradients(HOGs) have been widely applied in many fields due to the insensitivity to directions, scales, and illumination. It is difficult for traditional detection and positioning algorithm to detect the raised and indented characters clearly. Due to the consistent color of the raised or indented characters and the background materials, the obtained image contrast can be very low. The method of HOG was initially put forward by Navneet Dalal and Bill Triggs. This method mainly applied to pedestrian detection in static images and movies or videos, it also can be used for vehicle and common animal detection in static images. This paper introduced HOG to exact features of raised or indented industrial characters pressed on metal labels. The influences of the HOG parameters on performance of character recognition system are also analyzed. The recognition experiments were carried out by using support vector machine and the results proved that the HOG can be reliably used in feature extraction for industrial characters.
This paper proposed a novel high performance Discrete Cosine Transform（DCT） algorithm which is implemented by stochastic ***,the image information represented in the format of binary radix is mapped to the probabili...
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ISBN:
(纸本)9781467349970
This paper proposed a novel high performance Discrete Cosine Transform（DCT） algorithm which is implemented by stochastic ***,the image information represented in the format of binary radix is mapped to the probability field in which the numerical value is represented by a stochastic bits ***,a series of calculation rules based on stochastic computation theory are established for the implementation of DCT and *** example,one AND gate multiplies two values in probability ***,the performance is tested by PSNR（Peak Signal to Noise Ratio） between the images reconstructed by DCT and IDCT algorithm with the stochastic calculation and floating-point *** result illustrates that the introduced approach is simply-constructed which possesses a low logic cost and high performance.
Network security is the foundation to safeguard work concerning network, but various events and means to threaten network security have emerged one after another. As an effective auxiliary means in traditional securit...
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The main goal of the international Workshop on Performance Assessment and Auditing in service Computing (PAASC) is to bring together researchers and industry representatives, providing them the opportunity to present ...
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ISBN:
(纸本)9783642378034
The main goal of the international Workshop on Performance Assessment and Auditing in service Computing (PAASC) is to bring together researchers and industry representatives, providing them the opportunity to present and discuss research and development results, lessons learned, and advance new ideas on topics in the area of performance assessment, business modeling and auditing in service computing. Technical papers of high quality have been submitted. Four papers have been accepted and presented at the PAASC 2012international Workshop.
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