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An exploratory Factor Analysis was conducted for data reduction and for prioritizing the criteria.
The factor with a value of 0.50 and above will be retained based on the factor loading on the data.
Based on the data obtained from the survey.
For potential energy and cost savings is important by collecting the energy profile data and the hour of sun available daily.
These two data will also determine the PV system size needed to indicate the number of free power sources generated [32].

Currently, the transmission of large data has been preferred.
Statistics, we see that the access link throughput reached a 9.3Mbit/s, while the throughput of the return link for 2.9Mbit/s which means that a large amount of data is uploaded to the relay by RUE relay uploading data to the base station was slowed considerably.
It can be foreseen that the relay node ability to transmit data to the base station will determine the communication quality of the entire system.
However, due to the reduction of the Un port slots, so that the opportunity RUE upload data is reduced, so the total amount of data of the access link Add reduce.
This has significant bottlenecks that occur between the access link and backhaul link which connected large amounts of data into the link stranded in Relay-side.

However, through the participatory studies, it offers the possibility of complementing data sets by tapping into indigenous knowledge.
Conceptual Framework of TLEK and Land use Mapping In this study, there are two types of data collection which are primary and secondary data.
Primary data were collected from the interview, field survey and observation of the study area with the involvement of local communities, while secondary data was performed by gathering information from various sources such as journal, articles, books and others.
Satellite imagery, aerial photo, topographic map, and other secondary data able to show the land transition over time (Fig. 2).Meanwhile, TLEK gathered from field survey, deep-interview and survey with local communities offer the supplemental data to increase the mapping accuracy and the leading factors.
Framework for integrating indigenous and scientific knowledge for disaster risk reduction.

The electrochemical degradation of 20 ppm methyl orange (MO) by using the SS/G-OH electrode with an applied current of 1.5 A showed a concentration reduction of >99% after 30 min of reaction.
The GC data suggest that MO was mainly degraded to CO2 and H2O.
The FTIR data is shown in Fig. 2.
The electrochemical oxidation of MO using SS/G-OH in NaCl electrolyte showed a concentration reduction of >99% after 30 min of electrolysis.

Nevertheless, our preliminary PPI data confirm some previous experimental findings and indicate potentially fruitful directions for probing additional roles of rusticyanin in sulfur metabolism, copper resistance, anaerobic iron reduction, iron transport, and oxidative stress in extreme acidophiles.
Possible functions in copper resistance and an anaerobic iron reduction pathway have been recently suggested [5, 6], but there may be others.
The MS/MS data were processed by the MASCOT 2.6 search algorithm implemented in Proteome Discoverer software v 1.4, and detected sequences were searched against the UniProtKB reference proteome of A. ferrooxidans ATCC23270T (Proteome ID: UP000001362; last modified version from October 9, 2016).

However, such diameter reduction could not account for the increase in specific surface area of the activated materials, which has to be attributed to porosity development.
Rouquerol et al., Reporting physisorption data for gas solid systems with special reference to the determination of surface-area and porosity (recommendations 1984), Pure Appl.
Olivier, Improving the models used for calculating the size distribution of micropore volume of activated carbons from adsorption data, Carbon 36 (1998) 1469-1472. ].
Structural parameters of the fresh and different activated CNF samples as deduced from XRD data.
Likewise, an appreciable reduction in nanofiber diameter following both types of activation was noticed.

The trend towards hybrid materials consisting of metals and polymers is strongly driven by requirements such as weight reduction and improved functionality.
Increasing demands for integrated functionality and reduction of weight require a smart choice of different materials [1].
The combination of fiber reinforced polymers and metals allows new approaches for load-specific designs and, thus, weight reduction [2].
There, the data points of Figure 4 are summarized and given in grey color.
Interpreting this data, the general trend of increasing strength with increasing surface area is found again.

We used two Landsat TM data sets (1995, 2006) to estimate changes in the size of seven land use categories, and we used the most recently published value equivalent to estimate changes in the values of ecosystem services.
Topographic map, geomorphologic map, vegetation map and related socio-economic statistics of study area were used as auxiliary data for image calibration and interpretation.
Referring to land use classification system and field investigation in Nanfen District, the data sets were reclassified into seven categories, including cropland, woodland, grassland, water body, wetland, built up and unused land.
The land use map and their corresponding attribute data were showed and analyzed in Arc GIS software for subsequent calculation of ecosystem service value.
Through overlay analysis of two land use images and attribute data calculation within Arc GIS soft, the area of land use change was obtained (Table 3).

In these applications, the needed data sets are often high dimensional and sparse, so Dimension Reduction(DR) [4][5] must be implemented before using the traditional clustering techniques.
However, DR makes the noise data and valid data closer to each other in lower dimensional space and the loss of some important correlation, which decreases the clustering quality and DUPDK effectiveness.
As for the Contextual Recommendation, because of the introduction of more context factors, the high-dimensionality and sparsity of data set turn to be more serious, the data quantity also becomes greater, so how to keep/improve the effectiveness of DUPDK based on the preservation of original correlations among input data set is a important problem.The key idea of hypergraph clustering [6] is transforming a data clustering problem into a optimization problem of hypergraph partitioning.This clustering method does not require preprocessing of DR, and uses hypergraph to keep N-ary associations among data items.Therefore it is suitable to use hypergraph partitioning for data clustering to support contextual recommendation service.
Some result reduction methods are also used to make the result more remarkable.
When the ratio of noise data is smaller, a distinct peak shows at the 35th point, while with the increase of noise data, the peak doesn’t obvious, when the ratio of noise data to whole data set reaches to 50%, the curve has not any obvious peak.

The austenite was identified as the common solution of the data set, and its mean orientation has been calculated.
Recently, SEM-EBSD technique is also being adopted for assessing orientation relationships, as it can provide large data set for statistical analysis.
The EBSD patterns were compared with the bcc iron database to obtain the microtexture data.
The indexing rate was 66% for the scan, and a noise reduction/data extrapolation schemes were adopted to obtain the crystal orientation map.
The predicted g orientation was compared with 24 possible gi’s for each of the data points, to find the associated misorientation between them (using Quaternion).