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Online since: September 2013
Authors: Wei Han
There are a lot of data in the real life showed by the form of multimedia data.
Multi-media data mining process model 3.1 Data Preparation Stage Data selection is to extract relevant data and form the target data from existing database or data warehouse to extract relevant data, the formation of the target data.
Data preprocessing will deal with extracted data to conform to satisfy the requirements of data mining.
The main purpose of data transformation data dimension reduction, or reduction, to find out from the initial feature really useful feature to reduce the data mining features to consider when, or the number of variable [3,4]. 3.2 Data Mining Stage First step is algorithms planning.
Multi-media data mining system prototype framework Multimedia Data Mining Application In The Knowledge Services 5.1 Text Mining Text data is different from the relational data.
Online since: May 2014
Authors: Zhi Hong Li
Research on Data Security in Cloud Computing Zhihong Li Information Science and Technology College,Chuxiong Normal University,675000,China Lzh_cx@cxtc.edu.cn Keywords: Cloud Computing, Data Security, Data Storage, Confidentiality Abstract.
Cloud computing has offered a brand-new perspective to scalable, distributed computing, which allows significant reduction in IT costs and increase in capabilities.
Cloud Data Center Typically the Cloud Data Center (CDC) includes massive hardware storage devices and several management servers.
While data confidentiality can be guaranteed by encryption, the integrity protection of data cannot be neglected.
Consequently, the Merkle Hash Tree (MHT) data configuration has been proposed and adopted in data processing.
Online since: May 2014
Authors: Krzysztof Regulski, Danuta Szeliga, Jan Kusiak
Requirements of data exploration methods are much more simple.
The aim of this work is to compare statistics and data mining methods with sensitivity analysis results and verify if we are able to achieve similar results with significant reduction of number of measurements.
Application of data mining The statistics and data mining procedures were applied to estimate the importance of the parameters of the hot rolling of dual phase steel strips.
Reduction of dataset.
The smaller the data set, the faster will be the calculation.
Online since: April 2013
Authors: Chao Jie Zhang, Geng Zhang, Yan Qu, Pei Chen, Qi Zhou
China amyrazh@tongji.edu.cn, bzhanggeng77139@126.com Keywords: Hydrated Electrons; Fluorine Chemical Plant; Photo-Reduction Abstract.
In this paper photo-reduction of PFCs in wastewater by hydrated electron was studied and the end-products were discussed as well.
The data shown in Fig. 2 reflected that the amount of fluorine and deflurination rate increased as the irradiation time increased, especially during the initial 4 hours.
Fig. 3 Trends of intermediate products during photo-induced electronic reduction The concentration of acetic and formic acid increased with time (Fig. 3).
Teflon-manufacturing plant can consider using coagulation, then photo-induced reduction as the wastewater treatment process.
Online since: July 2014
Authors: Guang Ming Wang, Li Zhong Hu, Guo Cheng Wu
Thus, this novel structure not only has good coupling reduction ability, but also can optimize the performances of the antennas.
The antenna with WG-MTM has smaller back radiation result in a better front-to-back ratio due to the mutual coupling reduction effect.
By inserting the WG-MTM inclusions between the antenna patches, a mutual coupling reduction of 9.2dB has been achieved.
Jeffs, “Experimental characterization of the MIMO wireless channel: Data acquisition and analysis,” IEEE Trans.
Zeng, “Ultra-small single-negative electric metamaterials for electromagnetic coupling reduction of microstrip antenna array,” Opt.
Online since: October 2015
Authors: Mohammad Shakir Nasif, Rozanna Roslan
Matos et al. [5] used Ripple method to optimize the size of storage tanks found that large time discretization; i.e. monthly rainfall data to simulate the model will cause inaccuracy of the tank sizing [5].
This paper aims to investigate the effect of using different run-off coefficient values by utilizing Kuala Lumpur hourly rain fall data on the water saving and its consequent effect on payback period of the rain water harvesting system, energy savings, and CO2 emissions by using a water balance model for an office building.
In this paper, Kuala Lumpur hourly rainfall data for a whole year is used.
By using water balance calculations at each hour based on rain fall hourly data and building water consumptions and water supply from water main, the model will calculate the total amount of water and energy savings, and reduction in CO2 emission.
Results Water and Energy Savings, and Carbon Dioxide Emission Reduction.
Online since: May 2013
Authors: Bin Yang, Bao Qiang Xu, Dong Sheng Wang, Da Chun Liu, Heng Xiong, Jin Gang Jia
In our work, CaTiO3 phase was also found in the process of reduction TiO2 for preparing Ti powders by calcium vapor, which is consistent with the observation[12-15] in the process of electrochemical reduction of titanium dioxide in molten salt and the PRP process, direct reduction of TiO2 by metal calcium.
The Reduction Experiment.
Then took out the reaction vessel and opened it to obtain the reduction products.
According to the data in Ref.[17], the Gibbs free energy for the reaction in the process of the reduction of TiO2 by calcium vapor can be calculated.
In addition, the reduction by-products CaO also can be found in pattern (b).
Online since: April 2021
Authors: P.A. Gamov, A.R. Tabylbaeva, A. Bil'genov
There is a lack of complete understanding of the mechanism and kinetics of reduction of metals from oxides.
Investigation of mechanism of metals’ reduction from complex oxides and influence of experimental conditions on the nucleation and growth enables to identify new patterns in the process of reduction of metals from their oxides, in general.
In the reduction process distribution of metal in different ores has its own characteristics.
As an example, during metal reduction of low-grade South Ural ores the reduction process spreads over the volume of the lumps without formation of a continuous metal shell on the surface with the metal phase inside; the non-metallic layers of the silicate phase act as distribution channels for the reduction process.
Experimental Parameters Temperature, °С Holding, hour Slice Number (distance from the surface of a sample) 1300 1400 1500 1600 1,3,5,7 1,3,5,7 1,3,5,7 1,3,5,7 1,2,3 1,2,3 1,2,3 1,2,3 For the initial data on statistical calculation, 3 parameters were used: temperature (T), holding time (t) and slice number (N).
Online since: July 2018
Authors: Wolfgang Schlüter, Jakob Krieg, Stefan Müller
Data Gathering In the plant of the industrial partner, a medium-sized aluminum die-casting company, the machine data are stored decentralized in various file formats.
The MySQL database contains the available production data including the incident data of the die-casting machines.
Figure 2: Data gathering Software Data Analysis The collected data contains planned downtimes.
Simulation of the Reduction of Failures and Their Duration In a project described by Koszyk [10] a die-casting company's production data is collected and processed by using commercial software.
All data evaluation is done by using a Matlab script.
Online since: August 2014
Authors: Qiu Chao Deng, Zi Min Wu, Xu Feng Zhang, Li Qiu Song
Hairong Wang[7] designed a simple data mining system in The Application of Data Mining in Students' Scores Analysis, by mining the data of students' scores, he found the hidden related regulation among the data.
Data collection and reduction Choosing sample.
Due to differences in content, assessment criteria of examination among those provinces, Beijing local students' scores data has been taken as sample in order to maintain objective comparison of the data, There are 64 validate samples after data reduction. (3)Collecting score data of CET4 and CET6:Score data of CET4 and CET6 are collected from academic affair management system.
Data reduction. 1. sex(1, male; 0, female) 2. from(1, Beijing; 2, other provinces) 3.
As a generalized data mining platform, Clementine features in various algorithm which can handle large quantity of data mining tasks including data classification, data regression, clustering, contingency analysis, anomaly detection and time series etc.
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