automatic check

简明释义

自动校验

英英释义

An automatic check refers to a process or system that performs verification or validation tasks without human intervention, often using predefined criteria or algorithms.

自动检查是指一种过程或系统,能够在没有人工干预的情况下执行验证或校验任务,通常使用预定义的标准或算法。

例句

1.Our banking app includes an automatic check for suspicious transactions.

我们的银行应用程序包含对可疑交易的自动检查

2.The website has an automatic check feature that verifies your email address.

该网站具有一个自动检查功能,用于验证您的电子邮件地址。

3.Before submitting your application, make sure to run an automatic check for errors.

在提交申请之前,请确保进行一次自动检查以查找错误。

4.The software performs an automatic check on system updates every night.

该软件每晚进行一次自动检查系统更新。

5.An automatic check is performed to ensure all files are backed up regularly.

会进行一次自动检查以确保所有文件定期备份。

作文

In today's digital age, the concept of an automatic check has become increasingly relevant across various sectors. An automatic check refers to a system or process that verifies information or performs a task without the need for human intervention. This technological advancement not only enhances efficiency but also minimizes human error, which can often lead to significant consequences in critical areas such as finance, healthcare, and data management.For instance, in the banking sector, many institutions have implemented automatic checks to detect fraudulent transactions. These systems analyze patterns in transaction data to identify anomalies that deviate from typical behavior. When a suspicious transaction is detected, the system automatically flags it for review, allowing banks to act swiftly and protect their customers' assets. This kind of automatic check not only saves time but also ensures a higher level of security for financial transactions.Similarly, in the field of healthcare, automatic checks are utilized to ensure patient safety. Medical devices equipped with sensors can perform automatic checks on vital signs and alert medical staff if any readings fall outside of normal ranges. This immediate feedback can be crucial in emergency situations where every second counts. By relying on automatic checks, healthcare providers can focus more on patient care rather than manual monitoring, ultimately improving patient outcomes.Moreover, in the realm of software development, automatic checks play a vital role in maintaining code quality. Continuous integration and continuous deployment (CI/CD) pipelines often include automatic checks that run tests on new code submissions. These checks help identify bugs or vulnerabilities before the code is merged into the main branch, ensuring that only high-quality code is deployed. This not only increases productivity but also reduces the risk of software failures in production environments.However, while the benefits of automatic checks are clear, there are also challenges that organizations must navigate. One major concern is the potential for over-reliance on automated systems. If organizations begin to trust automatic checks blindly, they may overlook critical nuances that require human judgment. For example, an automatic check in a fraud detection system might flag a legitimate transaction as suspicious based solely on algorithms, leading to unnecessary complications for the customer.Additionally, the implementation of automatic checks requires significant investment in technology and training. Organizations need to ensure that their systems are up-to-date and capable of handling the complexities of modern data analysis. Furthermore, employees must be trained to interpret the results of automatic checks and make informed decisions based on the data provided.In conclusion, the integration of automatic checks into various industries represents a significant step forward in enhancing operational efficiency and accuracy. While there are challenges to overcome, the potential benefits far outweigh the drawbacks. As technology continues to evolve, we can expect to see even more sophisticated automatic checks that will transform how we conduct business, provide healthcare, and manage information. Embracing these advancements will be crucial for organizations looking to stay competitive in an increasingly automated world.

在当今数字时代,自动检查这一概念在各个领域变得越来越相关。自动检查是指一种无需人工干预即可验证信息或执行任务的系统或过程。这一技术进步不仅提高了效率,还最小化了人为错误,而人为错误往往会在金融、医疗保健和数据管理等关键领域导致重大后果。例如,在银行业,许多机构已经实施了自动检查以检测欺诈交易。这些系统分析交易数据中的模式,以识别与典型行为偏离的异常情况。当检测到可疑交易时,系统会自动将其标记以供审核,使银行能够迅速采取行动,保护客户的资产。这种自动检查不仅节省了时间,还确保了金融交易的更高安全性。同样,在医疗保健领域,自动检查用于确保患者安全。配备传感器的医疗设备可以对生命体征进行自动检查,并在任何读数超出正常范围时警报医务人员。这种即时反馈在紧急情况下至关重要,因为每一秒都很重要。通过依赖自动检查,医疗服务提供者可以更多地关注患者护理,而不是手动监测,从而最终改善患者结果。此外,在软件开发领域,自动检查在维护代码质量方面发挥着重要作用。持续集成和持续部署(CI/CD)管道通常包括对新代码提交进行自动检查的测试。这些检查有助于在代码合并到主分支之前识别错误或漏洞,确保只有高质量的代码被部署。这不仅提高了生产力,还减少了生产环境中软件故障的风险。然而,尽管自动检查的好处显而易见,但组织必须应对的挑战也存在。一个主要问题是对自动化系统的过度依赖。如果组织开始盲目信任自动检查,他们可能会忽视需要人类判断的关键细微差别。例如,欺诈检测系统中的自动检查可能仅基于算法将合法交易标记为可疑,导致客户不必要的麻烦。此外,实施自动检查需要在技术和培训方面进行重大投资。组织需要确保其系统保持最新,并能够处理现代数据分析的复杂性。此外,员工必须接受培训,以解读自动检查的结果,并根据提供的数据做出明智的决策。总之,将自动检查整合到各个行业代表着在提高运营效率和准确性方面迈出了重要一步。虽然面临挑战,但潜在的好处远远超过缺点。随着技术的不断发展,我们可以期待看到更复杂的自动检查将改变我们如何开展业务、提供医疗保健和管理信息。拥抱这些进步对于希望在日益自动化的世界中保持竞争力的组织来说至关重要。