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Marine Incinerator Plant Dynamic Process Simulation On the basis of the system global model, the dynamic model simulation was realized by utilizing Matlab M-file function and by using the experimental data to validate the simulation value, correction algorithm, improve the system mathematical model, the correctness and efficiency of model were analyzed by SIMULINK software simulation.
It adopt VRML for client interactive 3D graphics display of virtual Marine environment, and it adopt Java technology for network communication responsible, distributed simulation to more user interaction, marine simulation training and 3D scene data encoding decoding, and other functions[5].
Technical Implementation According to the ship equipment data and practical investigation, combined with the marine incinerator plant training programs, the B/S frame was adopted to develop the simulator.
(4).This paper makes some improvements aimed to the traditional B/S model: first programmed by the socket and run it in the client port to achieve real-time transition of the dynamic data, then realized the display of dynamic data in browses port by adopting ActiveX technique.
The Research and Development of Remote Interactive Engine Room Resource Management Simulator, Electronic &Mechanical Engineering and Information Technology,2012(11):1906-1910 [3] Horn D.Stream reduction operations for UPUPU applications[C].USA:Addison-Wcslcy Publishing Company, 2005:573-589

In engineering, the general method of fatigue life prediction is based on lots of experimental data.
But there are still some problems in predicting fatigue life from experimental data of standard specimens[1].
(12) Substituting these data of Table 1 into Eq. (12), we get:
Substituting data of Table 2 and Eq. (13) into Eq. (10), and dong iterative calculation until .
We should calculate the average of these data as experimental result which is listed in Table 3.

Data on PV and TEG voltage, current, and solar irradiance were collected and analyzed.
These setups were tested simultaneously using a solarimeter and multimeter attached to the different configurations to record data.
Immediately after the setups were made, the data was collected for over 8 hours (10:30 am to 6:00 pm), with 25-minute intervals.
This data collected includes PV voltage and current, TEG voltage and current, and solar irradiance value.
ηsys= Ppv + PTEGP (5) Results and Discussion In this section, the acquired data, as well as the experimental outcomes, are presented and discussed.

The data at different rotation speed, different cyanide concentrations, different temperature and different oxygen pressure are obtained.
However, platinum and palladium can not be dissolved in the cyanide solutions at room temperature and atomspheric press, although it is possible from their thermodynamic data[2,3], To elevate reaction temperature and/or under oxygen pressure, the dissolution reaction kinetics of cyanides with platinum and palladium can be improved.
The activation energy data shows the dissolution of palladium involves electrochemical process.
(4) The rate for the dissolution of palladium in cyanide solution is with respect to O2 pressure.The dissolution mechanism involves an electrochemical process in which the anodic reaction is palladium oxidation while the cathodic reaction is oxygen reduction

The reason why the three frequency bands are different can be given by analyzing the data of the three sweep tests.
The rated power of BLDCM is 400W, and the reduction ratio is 215.2.
In the experiment, the paper practices numerical arithmetic increasing within 40-dimensional FIFO array, means each updated data are not identical every 50 μs, resulting in motor vibration, unable to run normally [4, 5].
In this paper, experimental data is analyzed theoretically by sweeping frequency experiments with two types of mainstream motion control card by NI and two cutting-edge plans are proposed which can be used in the real-time motion control with intelligent algorithms.

Results of the investigation have provided a scientific data base for a further study on continuous casting technology and quality control for steel AH36.
Introduction During the process of continuous casting, to improve the quality of slab, or to establish the technological parameter for dynamic soft reduction, high-temperature physical properties are very important.
To test the isobaric thermal capacity under different variation velocities of temperature, valued data and foundation is provided for studies on the solidification property of slab in continuous casting. 2.3 Results and Analysis of Other Thermal Physical Properties of Slab AH36.
Results of the test provided basis data for studies on production technology and quality controlling of steel AH36 in continuous casting

Structured Sparsity and Coding Complexity The minimum description length (MDL) principle is based on the following insight: any regularity in a given set of data can be used to compress the data, i.e. to describe it using fewer symbols than needed to describe the data literally.
In fact, the structured sparsity has the same principle, it utilizes the potential regularity in raw data to obtain data structure, then force structured sparsity to reduce the coding complexity of data, thereby improve performance in accuracy and speed.
This part will illustrate the coding complexity of structured data.
In this case, the data has the block coding complexity of . …… Fig.2.
It can be used to represent abnormal data, such as noise or occlusion.

Fig. 2 Life cycle flow diagram of aluminum-plastic panel Site data collection.
Background data collection.
Background data includes the inventory data of raw materials exploitation and energy production required for aluminum-plastic panel production and the road transportation inventory data required for raw materials transportation.
As there is lack of EVA data, the average data of production by mixing 20 organic chemicals is adopted for substitution in this research
8] Actual Production Data Survey of Foshan Shunde Hongdao Ind Co., Ltd., 2013 [9] Actual Production Data Survey of Shanghai Huayuan New Composite Materials Co., Ltd., 2013.

Asphalt pavement cross - section and thermocouple locations Data Collection.
The content of data collection includesthe surface temperature of pavement，the temperature of different depths in pavement，air temperature.
Pavement temperature data collection started in July and lasted for two months.
Thus according to these data collected from bridge deck in XinJiang province, a model could simulate the variation of temperature in bridge deck which suits to the region of XinJiang province is developed.
Analyzed these temperature data of bridge deck using a linear regression method, obtain the relationship between surface of bridge deck and 0.04m and 0.09m below surface，shown in Figure 4, Figure 5.

Based on the water quality investigation data in December of 2010, the water environment quality of Jilongshan sea area in Zhanjiang in winter was assessed using single water quality parameter model, integrated water quality index model, organic pollution index model and eutrophication assessment model.
Besides the enormous economic losses, eutrophication also causes a reduction in biodiversity and has potential threat to human health. [2].
Based on the water quality investigation data in December of 2010, the water environment quality of Jilongshan sea area in Zhanjiang was assessed.
Sample collection, pre-treatment, storage, transportation, analytical method and data treatment were determined based on Specifications of Ocean Survey [3] and Specification for Marine Monitoring[4] .
Conclusions The water environment quality of Jilongshan sea area in Zhanjiang in winter was assessed based on the water quality investigation data in December of 2010.