error control procedure

简明释义

误差控制过程

英英释义

例句

1.The quality assurance department reviewed the error control procedure to enhance product reliability.

质量保证部门审查了错误控制程序以提高产品可靠性。

2.In our project, we established an error control procedure to track and resolve issues efficiently.

在我们的项目中，我们建立了一个错误控制程序以高效跟踪和解决问题。

3.The software development team implemented a strict error control procedure to minimize bugs in the final product.

软件开发团队实施了严格的错误控制程序以最小化最终产品中的漏洞。

4.During the data transmission, an error control procedure was activated to ensure the integrity of the information.

在数据传输过程中，激活了错误控制程序以确保信息的完整性。

5.The error control procedure includes regular audits to identify potential flaws in the system.

该错误控制程序包括定期审计，以识别系统中的潜在缺陷。

作文

In today's digital age, the importance of data integrity cannot be overstated. Organizations rely heavily on accurate data for decision-making processes, and any discrepancies can lead to significant consequences. One of the key methods employed to ensure data accuracy is the implementation of an error control procedure (错误控制程序). This systematic approach helps in identifying, correcting, and preventing errors in data processing and transmission.An error control procedure typically involves several stages, including error detection, error correction, and error prevention. The first step, error detection, is crucial as it allows organizations to identify when an error has occurred. Various techniques are used for this purpose, such as checksums, parity bits, and cyclic redundancy checks. These methods help in assessing the integrity of the data and determining whether it has been altered or corrupted during transmission.Once an error is detected, the next stage is error correction. This involves implementing strategies to rectify the identified errors. Common techniques include automatic repeat requests (ARQ) and forward error correction (FEC). ARQ requires the sender to resend the data until it is received correctly, while FEC allows the receiver to correct certain types of errors without needing a retransmission. Both methods are essential components of an effective error control procedure and contribute to maintaining data reliability.In addition to error detection and correction, an error control procedure also focuses on error prevention. This proactive approach aims to minimize the likelihood of errors occurring in the first place. Organizations can implement various measures such as regular audits, training for employees, and using robust software systems to reduce human and technical errors. By fostering a culture of quality assurance and continuous improvement, organizations can enhance their overall data integrity.The implementation of an error control procedure is particularly vital in industries where data accuracy is paramount, such as finance, healthcare, and telecommunications. For instance, in the healthcare sector, inaccurate patient data can lead to misdiagnoses and improper treatment, potentially endangering lives. Therefore, having a reliable error control procedure in place is not just beneficial but essential.Moreover, as technology evolves, so do the challenges associated with data integrity. With the rise of big data and cloud computing, organizations face new risks related to data storage and transmission. Consequently, they must continually adapt and enhance their error control procedures to address these emerging threats. This may involve adopting advanced technologies like artificial intelligence and machine learning to improve error detection and correction capabilities.In conclusion, the significance of an error control procedure (错误控制程序) cannot be underestimated in today’s data-driven world. It serves as a fundamental framework that ensures data accuracy and reliability, ultimately influencing the success of organizations. By investing in effective error control strategies, organizations can safeguard their data integrity, enhance operational efficiency, and build trust with their stakeholders. As we move forward in this digital landscape, the emphasis on robust error control procedures will only continue to grow, highlighting the need for ongoing commitment to data quality and security.

在当今数字时代，数据完整性的重要性不容小觑。组织在决策过程中高度依赖准确的数据，任何差异都可能导致重大后果。确保数据准确性的关键方法之一是实施错误控制程序。这一系统方法有助于识别、纠正和防止数据处理和传输中的错误。错误控制程序通常包括几个阶段，包括错误检测、错误纠正和错误预防。第一步，错误检测，是至关重要的，因为它使组织能够识别何时发生错误。为此，使用各种技术，例如校验和、奇偶校验位和循环冗余检查。这些方法有助于评估数据的完整性，并确定其在传输过程中是否被更改或损坏。一旦检测到错误，下一阶段就是错误纠正。这涉及实施策略来纠正已识别的错误。常见技术包括自动重传请求（ARQ）和前向错误纠正（FEC）。ARQ要求发送方重新发送数据，直到正确接收，而FEC允许接收方在不需要重传的情况下纠正某些类型的错误。这两种方法都是有效的错误控制程序的重要组成部分，有助于维护数据的可靠性。除了错误检测和纠正，错误控制程序还专注于错误预防。这种主动的方法旨在尽量减少错误首次发生的可能性。组织可以实施各种措施，例如定期审计、员工培训和使用强大的软件系统，以减少人为和技术错误。通过培养质量保证和持续改进的文化，组织可以增强其整体数据完整性。在数据准确性至关重要的行业中，实施错误控制程序尤其重要，例如金融、医疗保健和电信。例如，在医疗保健行业，不准确的患者数据可能导致误诊和不当治疗，可能危及生命。因此，拥有可靠的错误控制程序不仅是有益的，也是必不可少的。此外，随着技术的发展，与数据完整性相关的挑战也在不断变化。随着大数据和云计算的兴起，组织面临与数据存储和传输相关的新风险。因此，他们必须不断适应和增强其错误控制程序以应对这些新出现的威胁。这可能涉及采用先进技术，如人工智能和机器学习，以提高错误检测和纠正能力。总之，在当今数据驱动的世界中，错误控制程序（错误控制程序）的重要性不容低估。它作为确保数据准确性和可靠性的基本框架，最终影响组织的成功。通过投资有效的错误控制策略，组织可以保护其数据完整性，增强运营效率，并与利益相关者建立信任。随着我们在这个数字环境中的前进，对强大错误控制程序的重视只会继续增长，突显出对数据质量和安全持续承诺的必要性。