# Dynamic Fuzzy Adjustment Algorithm for Web Information Acquisition and Data Transmission

^{*}

## Abstract

**:**

## 1. Introduction

## 2. Key Construction and Ciphertext Protocol for Dynamic Fuzzy Adjustment of Web Information Acquisition Data Transmission

#### 2.1. General Structure and Key Design of Transmission Dynamic Fuzzy Adjustment

#### 2.2. Vector Quantization Coding for Dynamic Fuzzy Adjustment of Data Transmission

- (1).
- Dynamic application or compensation application.
- (2).
- Algorithms that need to be matched.
- (3).
- When the change rate of the measured signal is very high, the synchronization accuracy of the A/D converter’s clock and change edge is required to be higher
- (4).
- In the cipher text platform, the objects that are measured are often different. At the same time, there are also new requirements for devices, such as more emphasis on stability and speed rather than on the number of digits converted. The basic display pane of cipher text protocol platform is shown in Figure 4.

## 3. Optimization of Dynamic Fuzzy Adjustment Method for Web Information Acquisition Data Transmission

- (1).
- When excluding abnormal data or excluding their influence, it is not appropriate to use a residual value beyond a certain assumed distribution range as the discriminant limit. Instead, one should mainly consider the abnormal data that are occasionally distorted by abnormal factors. It is not only necessary to predict the distribution range of the actual data, but also not to let the discrimination limit be taken at the boundary of the distribution range.
- (2).
- From the perspective of a measured signal, dynamic measurement is different from static measurement in that the measurement object of dynamic measurement is a time-varying signal. The dynamic measurement data generated by the measured signal is a time-varying discrete sampling measurement sequence. If it is processed according to the static outlier elimination method, it will be very complex, and a complete sampling point of the measurement sequence will be eliminated; to some extent, it will destroy the integrity of the measurement sequence information.
- (3).
- In the processing of abnormal values, in addition to using exclusion principle to detect the measurement results in time, it is also necessary to improve the technical level and sense of responsibility of the staff. When carrying out the important measurement work, avoid the staff’s uneasiness and extreme fatigue. In addition, the stability of measurement conditions should be ensured to prevent sudden impacts caused by drastic changes in environmental conditions. Only in this way can satisfactory measurement results be obtained. The cipher code compiler is shown in Figure 5.

#### 3.1. Transmission Dynamic Fuzzy Adjustment Key Construction

#### 3.2. Transmission Dynamic Fuzzy Adjustment Output Optimized

## 4. Simulation Test Analysis

## 5. Conclusions

## Author Contributions

## Funding

## Conflicts of Interest

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**Figure 2.**Key transmission protocol for the dynamic fuzzy adjustment of the data transmission of web information acquisition.

**Figure 3.**Dynamic fuzzy adjustment link rearrangement of web information acquisition data transmission.

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**MDPI and ACS Style**

Peng, H.; Yang, S.; Liu, Q.; Peng, Q.; Li, Q.
Dynamic Fuzzy Adjustment Algorithm for Web Information Acquisition and Data Transmission. *Symmetry* **2020**, *12*, 535.
https://doi.org/10.3390/sym12040535

**AMA Style**

Peng H, Yang S, Liu Q, Peng Q, Li Q.
Dynamic Fuzzy Adjustment Algorithm for Web Information Acquisition and Data Transmission. *Symmetry*. 2020; 12(4):535.
https://doi.org/10.3390/sym12040535

**Chicago/Turabian Style**

Peng, Hao, Shun Yang, Qiong Liu, Qiong Peng, and Qiao Li.
2020. "Dynamic Fuzzy Adjustment Algorithm for Web Information Acquisition and Data Transmission" *Symmetry* 12, no. 4: 535.
https://doi.org/10.3390/sym12040535