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Development of a Low-Cost Irradiance Meter with Remote Data Logger A.J.
It also features Wi-Fi and Bluetooth capabilities for wireless communication and data transmission.
Data Acquisition.
On-site calibration process and Live-Data Transmission Testing.
To ensure data security and internet connection for data logging, the Arduino IDE code uploaded to the microcontroller is configured with a specific hotspot name, restricting the ESP32's connectivity to this predefined network.

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.

The other is the operation model change, introduction of energy saving and emission reduction technology, and reduction of traditional IT sales costs.
All the software runs in the cloud computing data center.
Business data is also stored in the cloud data center.
The security of cloud computing data center has two main aspects: First, security issues of cloud computing data center environment itself.
Cloud Computing Data Service Availability Requirements.

Time series on“cleaned data” In this section we briefly recall the main steps to the noise-reduction scheme proposed in [4].
A phase portrait of cleaned version is shown below (Fig. 3) where it can be compared with the original data.
Conclusion We apply the noise reduction scheme to numerical simulation data sets, some techniques from nonlinear dynamics are adopted to identify the different dynamics regimes of system behavior.
Nonlinear processing can lead to consistent and reliable noise reduction, this done, much more information can be extracted from the numerical simulation data.
Kantz, Noise in chaotic data: Diagnosis and treatment.

In this paper, a numerical analysis of flow and temperature distribution of a small raised-floor data centre is conducted in order to evaluate the thermal performance of the data centre.
Fig. 1: A typical data centre with HACA arrangement.
Fig. 2 Schematic of the modelled data centre.
As discussed by Fakhim et al. [5], data centre airspace can be divided into two main zones: data centre environment airspace excluding racks (AE), and airflow inside the racks (AR).
Hence there is a reduction in the SHI value along with a reduction in the exergy of racks leading to the decrease in exergy destruction (according to Eq. 1).

The ShUNP2-10 is a nanomaterial which was prepared for this drag reduction technology.
In the paper, we reported the surface properties and the drag reduction properties on the core surface.
The water phase permeability（WPP）was applied to evaluate drag reduction effect.
The measured datas of the fluxes and pressures were treated by regression method according to Darcy’s equation, so WPPs before and after displaced with ShUNP2-10 suspension were obtained, respectively [3].
It showed the ShUNP2-10 have significant drag reduction effect and very good practical value.

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.

Firstly, the fluorapatite pyrolysis to CaO, CaF2, P2O5, Then the P2O5 carbothermal reduction into phosphorus, Jinrong Zhang[11] studies the reduction of carbothermal the process of fluorapatite and propose two mechanisms, one is direct carbothermal reduction of the fluorapatite to P2, CaF2, CaO, CO, the other is Ca3P2 and CaC2 begin to generate, then Ca3P2 and CaC2 reduction of the fluorapatite to phosphorus respectively.
The element content was studied by element analysis instrument. 3 Results and discussion 3.1 Thermodynamic analysis According to the data and formula in ref, the main reactions may occur as follows [13]: Ca5(PO4)3F+15C=3P2(g)+15CO(g)+9CaO+CaF2 (1) 2Ca5(PO4)3F+24C=3Ca3P2+24CO+CaF2 (2) Ca3P2+6C=3CaC2+P2(g) (3) 2Ca5(PO4)3F + 42C = 9 Ca3P2 + 24CO(g) + CaF2 + 3P2(g) (4) In addition, In the carbothermal reduction process of fluorapatite may react: Ca5(PO4)3F + 15CO(g) = 9CaO + CaF2 + 15CO2(g) + 3P2(g) (5) 2Ca5(PO4)3F+5CaC2=3P2(g)+10CO(g)+14CaO
The product of reduction rate listed in Fig.8 as the molar ratio and temperature increase, the reduction rate of P2O5 increase, when the temperature more than 1723K, the reduction rate of P2O5 is about 99%.
Mechanism of reduction of phosphorus ore [J].
Mechanism of reduction of phosphorus ore [D].

Linear and exponential curve fit of experimental data is performed respectively to describe the evolution of damage as well as the descent of ultrasonic velocity with respect to the loading history.
The reduction degree of ultrasonic velocities is calculated according to following equation.
But then it can be seen from this figure that the mix proportion has no visible effect on the relationship between the damage and the loading history, so two groups of data can be investigated together.
The rule of ultrasonic velocity reduction for concrete specimen experienced hydrostatic compression.
And that induce the reduction of strength and the descent of ultrasonic velocity.

The relationship between the drag reduction efficiency and heat transfer reduction was analyzed.
The heat transfer reduction can reach up to 80~90%, which is greater than the drag reduction.
All the data were collected by data acquisition board and processed by computer.
The results calculated with (7) and the measured data are shown in Fig.5.
Apparently, the measured data of HTR due to drag reduction induced by polymer was greater than the calculation results according to the Gnielinski formula.