longitudinal redundancy check

简明释义

纵向冗余校验

英英释义

例句

1.Implementing a longitudinal redundancy check can significantly reduce the risk of data loss.

实施纵向冗余校验可以显著降低数据丢失的风险。

2.Before processing the results, the software performs a longitudinal redundancy check to catch any errors.

在处理结果之前，软件执行纵向冗余校验以捕捉任何错误。

3.The system uses a longitudinal redundancy check to ensure data integrity during transmission.

系统使用纵向冗余校验来确保传输过程中的数据完整性。

4.The longitudinal redundancy check helps identify discrepancies in the data stream.

这纵向冗余校验有助于识别数据流中的差异。

5.In our new protocol, a longitudinal redundancy check is mandatory for all data packets.

在我们的新协议中，所有数据包都必须进行纵向冗余校验。

作文

In the realm of data transmission and storage, ensuring the integrity and accuracy of information is paramount. One of the methods employed to achieve this is through a technique known as longitudinal redundancy check. This method serves as a powerful tool in error detection, allowing systems to verify that the data being processed remains uncorrupted throughout its journey from source to destination. The concept of longitudinal redundancy check can be understood by breaking it down into its fundamental components: 'longitudinal' refers to the linear arrangement of data, while 'redundancy check' implies an additional layer of verification added to ensure reliability.When data is transmitted over networks or stored in databases, it is susceptible to various forms of corruption, whether due to hardware malfunctions, external interference, or even human error. The longitudinal redundancy check acts as a safeguard against these potential pitfalls. Essentially, it involves adding extra bits of information to a set of data, which can later be used to verify the accuracy of the original data. This process is akin to having a safety net; even if something goes wrong, there is a backup plan in place to catch any discrepancies.The implementation of a longitudinal redundancy check typically occurs during the encoding phase of data transmission. For instance, when a file is prepared for sending over the internet, a series of checksums or parity bits may be generated and appended to the original data. These additional bits represent a calculated value derived from the data itself, allowing for quick verification upon receipt. Upon reaching its destination, the receiving system can perform a comparison between the received data and the accompanying redundancy information. If the values match, the data is deemed intact; if not, an error is flagged, prompting the system to request a retransmission.This technique is particularly beneficial in environments where data integrity is critical, such as in banking systems, healthcare records, and telecommunications. In these sectors, even minor data corruption can lead to significant consequences, making the longitudinal redundancy check an indispensable part of their operational protocols.Moreover, the effectiveness of the longitudinal redundancy check can be enhanced when combined with other error detection and correction techniques. For example, using it alongside cyclic redundancy checks (CRC) or checksums can provide a more robust framework for ensuring data fidelity. By employing multiple layers of checks, organizations can minimize the risk of undetected errors and bolster their overall data security measures.In conclusion, the longitudinal redundancy check is a vital aspect of modern data management practices. Its ability to detect errors and maintain data integrity plays a crucial role in various industries, safeguarding sensitive information and ensuring smooth operations. As technology continues to evolve and the volume of data being processed increases, the importance of implementing effective error-checking mechanisms like the longitudinal redundancy check will only grow. Understanding and utilizing this technique is essential for anyone involved in data transmission and storage, as it represents a key component in the quest for reliable and secure information handling.

在数据传输和存储领域，确保信息的完整性和准确性至关重要。为实现这一目标，采用了一种称为纵向冗余检查的方法。这种方法作为一种强大的错误检测工具，使系统能够验证正在处理的数据在从源头到目的地的过程中保持未损坏的状态。纵向冗余检查的概念可以通过将其分解为基本组成部分来理解：'纵向'指的是数据的线性排列，而'冗余检查'意味着为了确保可靠性而增加的额外验证层。当数据通过网络传输或存储在数据库中时，它容易受到各种形式的损坏，无论是由于硬件故障、外部干扰，还是甚至是人为错误。纵向冗余检查作为对这些潜在陷阱的保护措施，实质上涉及向一组数据添加额外的信息位，这些信息位可以在后期用于验证原始数据的准确性。这个过程类似于拥有一个安全网；即使出现问题，也有一个备用计划来捕捉任何差异。纵向冗余检查的实施通常发生在数据传输的编码阶段。例如，当一个文件准备通过互联网发送时，可能会生成一系列校验和或奇偶校验位，并附加到原始数据上。这些附加位代表从数据本身派生的计算值，允许在接收时进行快速验证。当数据到达目的地时，接收系统可以对收到的数据与随附的冗余信息进行比较。如果值匹配，则数据被认为是完整的；如果不匹配，则会标记错误，提示系统请求重传。这种技术在数据完整性至关重要的环境中尤其有益，例如银行系统、医疗记录和电信。在这些行业中，即使是微小的数据损坏也可能导致重大后果，因此纵向冗余检查成为其操作协议中不可或缺的一部分。此外，当与其他错误检测和纠正技术结合使用时，纵向冗余检查的有效性可以得到增强。例如，将其与循环冗余检查（CRC）或校验和一起使用，可以为确保数据保真提供更强大的框架。通过采用多层检查，组织可以最大限度地降低未检测错误的风险，并增强其整体数据安全措施。总之，纵向冗余检查是现代数据管理实践中的一个重要方面。它检测错误并维护数据完整性的能力在各个行业中发挥着至关重要的作用，保护敏感信息并确保顺利运营。随着技术的不断发展以及处理的数据量的增加，实施有效的错误检查机制如纵向冗余检查的重要性只会增加。理解和利用这一技术对于任何参与数据传输和存储的人来说都是至关重要的，因为它代表了可靠和安全的信息处理追求中的关键组成部分。