Search results

Disaster recovery is through the post-disaster reconstruction, make the region back to the normal state, and disaster recovery and disaster risk reduction should be combined. 2.2 Water Resources Emergency Management Water resources emergency management serves for water resources management at the sudden disaster events, according to different types of emergencies put forward the corresponding emergency response plan and disposal measures, to ensure water source security, water supply safety and water environment security in the greatest degree.
Cloud computing provides a intensive mode for a number of information resources with physical focus but application logic separation, such as real-time acquisition of rainfall, weather, water quality and project information, through the construction of resources pool that takes water resource data center as the carrier, to achieve the intensification and scale of water resource information, promote public and sharing of information, provide Infrastructure As A Service, Platform As A Service and Software As A Service, so as to realize high availability and scalability.
By the technology of cloud storage, data storage is no longer limited by disk space, such as vast amounts of real-time monitoring data, historical data storing in the database and business management data of water resources, can provide strong technical support for smart water resources emergency management. 3.3 Geographic Information Technology Geographic information technology is the powerful support for smart water resources emergency management, which makes the emergency management system modeling based on the three-dimensional visualization possible.
Conclusions The proposed concept of smart earth will drive the development of water resources emergency management system, derive the urban smart water resources emergency management system, integrate a new generation of information technology including Internet of things, cloud computing, digital earth and geographic information technology to solve the existing problem of data and system fragmentation in the information support system in water resources emergency management in the present stage.

It is possible to add data sent directly from the vehicle diagnostic system to the central unit of the analyzer and use the GPS signal (Global Positioning System).
Data storage capacity Over 10 hours at data acquisition rate of 1 Hz 3.
In this time the system recorded (with the resolution of 1 second) the concentrations of the exhaust components, the exhaust mass flow and data from the on-board diagnostic system of the excavator.
In the case of the data acquired from the machine OBD the data related to the engine parameters were of particular importance i.e. engine speed and engine load.
NOx and PM are key components for diesel engines and their reduction still poses a serious problem despite the accessibility to advanced technical solutions such as PM filters and SCR systems.

Data sources.
The RSSI data of this paper was gotten by adding different kinds of noise after choosing model to calculate the RSSI data.
Choosing different propagation models to calculate the RSSI values of the point to be measured and increasing the noise of different channel to get the simulative input data.
We make the RSSI simulation values of test points as data source, build the corresponding propagation model in different regions and use Gaussian filter to handle the obtained data for removing singular value.
HORUS - high-dimensional Model Order Reduction via low moment-matching upgraded sampling.

By using a vibration signal collective and analytical system that is aimed at a Φ3×11m edgetransmission ball mill system and is according to the existing violent vibration phenomenon of the machine system, we execute the field test to acquire the related data and process the analysis, and then we accurately find the main fault reasons and the validly accessible solutions.
Specification and Data Acquisition Table 1 shows the specification of the ball mill system, it found that the foundation of the ball mill system vibrated with great abnormal magnitude; as well, the foundation of the main decelerator and the main electromotor had the same severe phenomenon.
The measured points can provide valid vibration data for the fault detection and diagnosis.
To be convenient for comparing the faulty data with the normal data, the points 2# and 3# that are located on the other ball mill system of Φ3.8×13m with 2500kw output power are selected, and the points 2# and 3# are relative to the same positions as points 2 and 3 of the faulty system.
In addition, the data for the normal ball mill system is acquired to provide useful evidence for the fault diagnosis.

Growth of TMI with external pressure is in agreement with the data reported by Itoh et al [14], who had studied pressure dependence of ferromagnetic transition temperature TC (coinciding with TMI) of La0.85Sr0.15MnO3 single crystal.
The data given in [14] are almost identical to our results for Y097 sample.
According to the data of induced-couple plasma spectroscopic and redox titration, two possible expressions of the chemical formula of the obtained samples were given by the authors, La0.86Sr0.15Mn0.95O3 or La0.85Sr0.15Mn0.93O2.95.
We hadn’t defined the composition of single crystals obtained in our work, but since the data of pressure dependence of TMI and TCO presented in [14] and the same data for Y097 are in good agreement, it can be supposed that compositions of those samples are very close.
In this sense, reduction of a vacancy concentration in the sample is similar to the increase of x.

Automatic text classification is a crucial natural language processing (NLP) technique for handling and organizing text data.
The feature selection methods can effectively remove the noise in the feature space, but are lack of ability to tackle with data sparseness.
Experiments and results Datasets and data preprocessing.The Chinese text classification data sets of Sougou news corpus, which are multi-classification text sets, are adopted in our experiments.
Unfortunately the dimension of text classification data sets is usually very high.
Knowl.Data Eng. 21(3): 428-441 [6] Li Zhixing, Xiong Zhongyang, Zhang Yufang, Liu Chunyong, Li Kuan.

The spatial model which is a necessary component to predict the next positions of vehicles and make smarter route decisions in VANET routing protocols, is created from topological data obtained in GIS.
Therefore, there is not always a direct line of communications in the direction of intended data communication.
Initial data of the node density can be provided by the realistic vehicular trace data stored in a GIS, reflecting the state of the spatial model sections or logical path.
In Fig. 1, it is shown that, the use of GBR results in the reduction in routing overhead compared to that of DSR.
Packet Delivery Ratio (PDR) is defined as the ratio of data packets delivered successfully to destination nodes and the total number of data packets generated for those destinations.

A 50 per cent reduction in these additives would indicate the need for an oil change.
DISCUSSION AND CONCLUSIONS Input of test data into a dedicated data processor is now the norm in modern analysis techniques, regardless of whether the origin of the test data is from laboratory or field equipment.
The physical test data can be measured against accepted standards of used oil control and condemnation limits recognised by learned societies and oil companies (IP, ASTM).
Based on successive test data, predictive trends are established in each test category thus effectively eliminating unnecessary oil changes.
The accumulation of wear debris test data over a predetermined sample period establishes a normality of wear generation pattern either in elemental concentration quantification as in spectrometry, or in particle size quantification as in ferrography, the latter being more practical in many cases.

According to current literature data cancer of larynx and laryngopharynx accounts for 5-6% of all malignancies, moreover, this localization takes 60-70% of all malignant tumors of the upper respiratory tract.
Traditionally, the evaluation of the effectiveness of neoadjuvant chemotherapy (NACT) is conducted according to the data of clinical examination, fiberoptic laryngoscopy with withdrawal of biopsy material for the study of the degree of drug pathomorphism and data of ultrasound of regional lymph nodes.
Data obtained by polypositional scanning were processed using specialized processing software package E.Soft by company "Siemens" (Germany).
In our case, complete tumor regression after NACT was noted in a single observation, and we believe this event could not have a significant impact on the importance of statistic data.
Nevertheless, the results suggest that the decline in the indices T/SSGmax and T/PGmax and T/STEAmax during chemotherapy indicates its efficiency, which in turn is supported by clinical data and the results of morphological studies.

The asset management (AM) system of a transformer station (ST) Stages of system implementation An A.M. system seeks to quantify the electrical equipments state on the base of historical and real time data and permits to establish a hierarchy of maintenance activities [2].
The diagnosis system selects data from the monitoring systems and compares the measured values ​​with thereshold values​​.
The second section (Fig. 6) performed on-line, monitoring the equipment, data acquisition and processing, gives information about the technical status of the monitored equipment.
The window diagram (Fig. 8) contains software for real-time monitoring, data aquisiton and their processing in order to quantify the technical condition of the equipment in the group.
Fig. 8 Single line diagram of transformer station Fig. 9 FI calculation For determining priority of the maintenance activity and to check the relevance of the data provided by the implemented model considered two cases: Case I: 8 monitored equipment by 5 parameters surveillance / equipment.