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Magnetic Study of LiFe(P,Si)O4 Probed by SQUID and μSR Fahmi Astuti1,a*, Mochamad Zainuri1,b, Darminto1,c, Muhammad Redo Ramadhan2,d, Dita Puspita Sari3,e and Isao Watanabe4,f 1Department of Physics, Faculty of Science and Data Analytics, Institut Teknologi Sepuluh Nopember, Surabaya 60111, Indonesia 2Department of Chemical Engineering, Faculty of Industrial Engineering, UPN Veteran Yogyakarta 55281, Indonesia 3Department of Physics, College of Engineering, Shibaura Institute of Technology, Saitama 337-8570, Japan 4Nuclear Structure Research Group, RIKEN Nishina Center, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan afahmia@physics.its.ac.id, bzainuri@physics.its.ac.id, cdarminto@physics.its.ac.id, dmuhammad.redo@upnyk.ac.id, edita@shibaura-it.ac.jp, fnabedon@riken.jp Keywords.
Later, the similar spectrum was observed on the data measured at 44 K and 31 K (above anomaly at 27 K).
Such significant reductions in the initial asymmetry in the magnetically ordered state are often observed because this behavior corresponds to the average of the invisible oscillation.
From XRD measurements, all main peaks of XRD data were observed in all samples indicating the LiFePO4 phase.

In order to provide power performances based on an uniform methodology that will ensure consistency and accuracy, wind and rotor data sampling were based on the bin method [7] [8] [9], which is outlined in the IEC 61400-12 standard [10].
In the present case, data were grouped using bins of 0.5 m/s size.
Transmission between rotor and electrical motor was held by a pulley, allowing a reduction of motor angular velocity of 5:1.
Data were sampled at 1000 Hz.

As it can be seen from the water data, Henan Yellow River annual actual water consumption is less than the quotas, there are about 10. 95x108m3 the Yellow River potential.
According to the data over the years, for example the Yellow River dried up in 2002 and Henan suffered severe drought in 2009, Henan Yellow River Diversion indicators have been almost fully used.
In water resources planning and management the linear relationship would be expressed between water supply volume and GDP (the multiple correlation coefficient of linear fitting is r2 >0.8 in the statistical analysis of data).
Table 2 Henan Yellow River Conservancy Resource Utilization Analysis Year 2005 2020 2030 The External Demand Water of River Channel（108m3） Total Water Supply 50.4 59.2 64.8 Urban and Rural Domestic 3.9 6.0 7.2 Agriculture 33.2 37.3 39.8 Non-agriculture 12.9 15.6 17.3 Other Energies 2.7 3.8 4.7 Ecological 0.3 0.4 0.6 The External Water Supply of River Channel（108m3） Total Water Supply 50.4 59.2 64.8 Surface Water 20.0 29.9 35.6 Groundwater 30.4 27.6 25.8 Others 0.1 1.7 3.5 The External Water Consumption of River Channel（108m3） 34.2 40.9 45.1 Waste Water Discharge（108m3） 8.4 10.5 11.9 COD (104t) Total Emissions 15.5 19.9 24.9 Total Reduction 3.2 11.0 18.0 Water Investment (108yuan) 298.3 551.7 Water Saving (108m3) 6.6 10.0 Wastewater Treatment Plant Standard（Unit） 18 27 Analyzing the integrated planning of the Yellow River water resources, in the absence of external basin water transfer case, the water quantity available forecast of Henan water resource is shown in Table 3.

Based on properties established based on the experiment, i.e. the residual concrete strength after exposure to various temperature levels, we can conclude that the experiment results were very similar to data on concrete strength at elevated temperatures specified in [2] and [3].
This way collected data will serve as underlying data for the calculation of the stability of lightweight concrete structures immediately exposed to fire effects.
Both methods need reduction of the tension of the concrete reinforcement depending on temperature achieved in the proximity of the reinforcement.

In the downlink power line communication system, transmitting the downlink signal collector, a multi-carrier technology, can greatly improve the system spectrum utilization rate and the data rate, which can make up for the high cost brought by PAPR power amplifier; In the uplink, the terminal as the sender, and the State Bureau of quality and technical supervision stipulates the power terminal power consumption standard, namely the  acquisition terminal under normal power consumption should be less than 1W[1]; This requires the terminal to ensure transmit power at the same time to reduce the power consumption of the terminal as far as possible, However, high PAPR make this requirement becomes more difficult, At the same time, power requirements increase, also increase the cost and difficulty of realization of terminal equipment.
Fig 1 Connection diagram of user system The PLC uplink and downlink communication technology At low PLC topology, if multiple users at the same time to send the command of concentrator, the concentrator will need to provide a lot of information to the user in the circumstances allow, which requires the downlink data transmission rate of the massive.
Due to the PLC communication system in the future and to satisfy users and concentrator information interaction, complete daily internet service business, it's for uplink data transmission ability put forward higher requirements.
An overview of peak-to-average power ratio reduction techniques for multicarrier transmission.

Different alloying concepts compete for maximum stress reduction.
The observation that the absolute compressive residual stress level is increased in subsurface areas compared to the surface is conform to already published data [6], [10].
The results are in good correlation with literature data concerning residual stresses in LTT welded joints [6]-[9].

Introduction One of the most important engineering requirements for modern materials is the reduction of weight and an increase of performance and functionality at the same time.
Due to the different rotational speed of two adjacent rolls in a three-roll mill, particles that pass through the gap are exposed to high shear forces, which cause a reduction of the agglomerate size.
Also the line pressure increases from the first to the third step of dispersion because of the gradual reduction of the gap size.
[11] Information on http://www.nanocyl.com/wp-content/uploads/2016/07/DM-TI-02-TDS-NC7000-V08.pdf (Jan 2017) [12] Information on http://www.nanocyl.com/wp-content/uploads/2016/02/Technical-Data-Sheet-NC3152-V01.pdf (Jan 2017) [13] Information on http://www.sigmaaldrich.com/technical-documents/articles/materials-science/nanomaterials/carbon-nanofibers.html [14] C.M.

MATLAB Data plot for boiler output.
Where: u(k) - input data, y(k) - output data, N - number of the data set, k – discrete time step of the data set
Input Data plot for training.
Input Data plot for Validation. 2.2.
Outputs of the identified model and actual system for training data and Modeling error for training data.

The database consisted of rupture life data in the range of 1,000 to 10,000h.
The predicted data compared well with the existing RCC-MR data upto 35 years.
Its efficacy vis-à-vis other methods for treating stress rupture data for multiple heats was also established.
Fig. 5 Multiple heat stress rupture correlations using heat indexing constants, P1 and P2, based on 590 data sets.
The results have shown that creep and fatigue design of components operating in sodium environment based on data from tests conducted in air, is conservative.

Introduction In this fast-developing era of big data, time-series data plays a particularly critical role in its application across various fields, such as health care [1], stock markets [2], petroleum [3], and so on.
The data is transmitted in real-time and perpetuated for the long-term.
Consequently, the volume of data is substantial, demanding effective methods to assess the structural condition.
The most common approach with time-series data is using convolutional neural network (CNN).
Data preparation In this work, 11 damage cases are considered [33], labeled from 0 to 10, with different reductions in stiffness for lower chords, vertical chords, diagonal chords and upper chords according to Table 1.