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When re-quantize a signal of low levels, serious distortion may occur due to word length reduction.
Due to the recording's data bits are limited, in order to reduce error accumulation, it must retain higher accuracy in intermediate links of the processing, after finishing processing, the result needs to be truncated and converted into a specific format.
Cut out a section about 31s 44.1kHz / 16bit wav format audio file as a test file, quantify it to 10bit, three methods were used here: quantify it directly, add dither before quantifying and the quantization with dither and using noise shaping, then come out three output files of the original sampling rate; in addition, we also programmed to perform 2 times upsampling treatment to the original audio data, then re-quantify it to 10bit using the above three methods , receive three output files with a sampling rate of 88.2kHz.
When adding proper dither before rounding the audio data, although it can hear background white noise, it has no intermittent or distortion.

The mechanical properties were determined using Instron tensile testing machine with 30kN load cell and strain rate of 10-3s-1 and the work hardening behaviour curves were generated using true stress and true strain data.
Although the data on the formation of mechanical twins had been reported and it is self-evident, the effect of deformation temperature on the formation of mechanical twinning and its influence on the work hardening behaviour has not been fully investigated.
The strain and stress data was monitored using a video extensometer and the work hardening behaviour curves were generated using the true stress and true strain data.
Furthermore, the work hardening behaviour at 300oC and 400oC displayed similar behaviour to the materials with moderate to high SFE, showing a continuously reduction in the work hardening behaviour.

An appropriate choice of building shape and architectural modifications can result in the reduction of motion by altering the flow pattern around a building.
Pressure data are acquired in six blocks of 4096 samples each at a sampling rate of 400 Hz.

Design and Optimisation of Pressure Vessel Using Metaheuristic Approach 1Sulaiman Hassan, 2Kavi Kumar, 3Ch Deva Raj, 4Kota Sridhar 1Mechanical & Manufacturing Department, University Tun Hussein Onn Malaysia,Malaysia 2Faculty of Science Technology and Human Development, University Tun Hussein Onn Malaysia,Malaysia 3Mechanical Engineering Department, RVR &JC,Guntur,India 4Mechanical & Manufacturing Department, University Tun Hussein Onn Malaysia,Malaysia 1sulaiman@uthm.edu.my, 2kavi@uthm.edu.my, 3chdevaraj@gmail.com, 4kotasridhar17@gmail.com Keywords: - Design optimization, Ant colony optimization Algorithm, Pressure Vessels Abstract: The objective of design optimization of pressure vessels is cost reduction by reducing weight with adequate strength and stiffness.
Note: All are in inch Problem Description A typical input data required to develop a mathematical model for pressure vessel design is Pressure vessel material = SAE J2340 – 830R Where R=High Strength Recovery Annealed 1.

Experimental results indicated that there’s a significant reduction of the wear rate of diamond tools by means of ultrasonic vibration in TC4 turning process.
Figure 2 shows the curves of the influence of ultrasonic vibration frequency and amplitude on tool wear (the experimental data are the tool wear average of three workpieces).

This model was tested on the crime data of India.
During the early days of technological development, Data mining arose as a powerful method for extracting usable information as data from enormous datasets to determine the relations between the data and its features.
Decision trees are built associated with the selected data points.
Data cleaning is done by filtering out the missing values, duplicate data, and error values from the dataset.
SURVEY ON CRIME ANALYSIS AND PREDICTION USING DATA MINING TECHNIQUES.

A provincial power grid company provides the data for empirical analysis to explore the applicability of the model.
Among them, there are eight indicators in the core resources system, such as: total assets (S1), total liabilities (S2), Line length per capita (S3), Total staff (S4), net value of fixed assets (S5), Total income (S6), The proportion of skilled talents(S7), Net income Per capita (S8); Customers market system contains eight indicators: Tariff recovery rate(S9), market share(S10), The average difference between purchase and sale price(S11), Electricity sales(S12), Customer satisfaction rate(S13),Power supply population(S14), emission reduction through generating rights trading(S15), Province purchase (sale) electricity contract execution equalization rate(S16); Internal operation system contains eight indicators: Power supply reliability rate(S17), Comprehensive line loss rate(S18), Voltage qualification rate(S19), Loading rate(S20), Inventory Turnover (S21), Power system failure outage rate (S22), Inventory idle rate (S23), New energy and power generation capacity (S24); Asset-liability

There are not enough data on the impact of operating modes of the activation unit on the parameters of mixed powders in contemporary scientific literature[7, 8].
Thus, the mixture of copper and alumina powders in the ball mill causes the significant reduction of the size of copper powder particles.

The same experimental design was also used to acquire a data set for ANN.
The plot of experimental data versus RSM (A) and ANN (B) model predicted data.
The original data set (17 runs) was divided into three subsets – training (9 data points), validation (4 data points) and testing sets (4 data points).
The data splitting was carried out to estimate ANN performance for prediction of “unobserved” data that were not originally used for training.
Likewise, RMSE is determined as 0.0745 for all data sets.

The results show that: CODCr removal rate and decolorization rate of landfill leachate reduce with the reduction of the influent pH, the increment of water concentration and the extension of the reaction time; Under the optimized operating conditions: the influent pH of 8.10, the influent CODCr of 16611 mg/L, the reaction time of 90 min, the CODCr removal rate and decolorization rate of landfill leachate reach 56.8% and 83.7%, respectively.
The experimental data are disposed, and the results of these experiments were shown in Fig. 1 (a)—1 (e) and Table 1.