range scanning

简明释义

距离扫描

英英释义

例句

1.During the quality control process, range scanning helps identify defects in products over a specified size range.

在质量控制过程中，范围扫描帮助识别指定尺寸范围内产品的缺陷。

2.The new library system utilizes range scanning to quickly locate books within a specific section.

新的图书馆系统利用范围扫描快速定位特定区域内的书籍。

3.In data analysis, range scanning allows researchers to efficiently retrieve records that fall within a certain date range.

在数据分析中，范围扫描使研究人员能够高效检索在特定日期范围内的记录。

4.The warehouse uses range scanning technology to manage inventory by checking items in batches.

仓库使用范围扫描技术通过批量检查物品来管理库存。

5.The GPS system employs range scanning to determine the distance between the user and various points of interest.

GPS系统利用范围扫描确定用户与各个兴趣点之间的距离。

作文

In the world of data processing and computer science, various techniques are employed to efficiently retrieve and manage information. One such technique is range scanning, which plays a crucial role in handling large datasets. To fully appreciate the significance of range scanning (范围扫描), it is essential to understand its applications, advantages, and how it integrates into broader data management strategies.Range scanning refers to the process of searching for and retrieving data entries that fall within a specified range of values. This method is particularly useful in databases, where it allows users to extract subsets of data based on certain criteria. For instance, if a company wants to analyze sales figures from the past year, it can use range scanning to filter records that fall within the date range of January 1st to December 31st. This ability to quickly access relevant data not only saves time but also enhances decision-making processes.One of the primary advantages of range scanning is its efficiency. Traditional data retrieval methods may require scanning through each entry sequentially, which can be extremely time-consuming, especially with large datasets. However, by utilizing indexing techniques, databases can perform range scanning much more effectively. Indexes act like a roadmap, allowing the system to jump directly to the relevant sections of data, thus significantly reducing the search time.Moreover, range scanning is not limited to numerical data; it can also be applied to textual information. For example, a library database may allow users to search for books published within a specific range of years or by a particular author. This flexibility makes range scanning a versatile tool in various fields, including finance, healthcare, and research.In addition to its practical applications, range scanning also contributes to the overall integrity of data management systems. By enabling precise queries, it minimizes the risk of errors that can occur when manually sifting through data. This accuracy is vital for organizations that rely on data-driven decisions, as even minor discrepancies can lead to significant consequences.Furthermore, as technology continues to advance, the methods and tools for range scanning are evolving as well. With the rise of big data and cloud computing, new algorithms and frameworks are being developed to enhance the speed and efficiency of data retrieval processes. These innovations aim to handle increasingly complex datasets while ensuring that range scanning remains a fundamental aspect of data management.In conclusion, range scanning (范围扫描) is an essential technique in the realm of data processing, offering numerous benefits in terms of efficiency, accuracy, and versatility. As organizations continue to generate vast amounts of data, the importance of effective data retrieval methods like range scanning cannot be overstated. By understanding and implementing this technique, businesses can optimize their data management strategies, leading to better insights and informed decision-making.

在数据处理和计算机科学的世界中，采用各种技术来有效地检索和管理信息。其中一种技术是范围扫描，它在处理大型数据集时发挥着至关重要的作用。要充分理解范围扫描的重要性，必须了解其应用、优势以及它如何融入更广泛的数据管理策略。范围扫描是指搜索和检索落在指定值范围内的数据条目的过程。这种方法在数据库中特别有用，它允许用户根据某些标准提取数据子集。例如，如果一家公司想分析过去一年的销售数据，可以使用范围扫描来筛选出从1月1日到12月31日的记录。这种快速访问相关数据的能力不仅节省了时间，还增强了决策过程。范围扫描的主要优点之一是其高效性。传统的数据检索方法可能需要逐个条目顺序扫描，这在面对大型数据集时可能非常耗时。然而，通过利用索引技术，数据库可以更有效地执行范围扫描。索引就像一张地图，使系统能够直接跳转到相关的数据部分，从而显著减少搜索时间。此外，范围扫描不仅限于数值数据；它也可以应用于文本信息。例如，图书馆数据库可能允许用户搜索在特定年份范围内或由特定作者出版的书籍。这种灵活性使得范围扫描成为各个领域（包括金融、医疗保健和研究）的多功能工具。除了实用应用外，范围扫描还对数据管理系统的整体完整性做出了贡献。通过实现精确查询，它最小化了在手动筛选数据时可能发生的错误风险。这种准确性对于依赖数据驱动决策的组织至关重要，因为即使是微小的差异也可能导致重大后果。此外，随着技术的不断进步，范围扫描的方法和工具也在不断演变。随着大数据和云计算的兴起，新的算法和框架正在开发，以提高数据检索过程的速度和效率。这些创新旨在处理日益复杂的数据集，同时确保范围扫描仍然是数据管理的基本方面。总之，范围扫描是数据处理领域的一项重要技术，在效率、准确性和多样性方面提供了许多好处。随着组织继续生成大量数据，有效的数据检索方法如范围扫描的重要性不容低估。通过理解和实施这一技术，企业可以优化其数据管理策略，从而获得更好的洞察力和明智的决策。