bucket，英语单词，主要用作名词、动词，作名词时译为“桶；水桶；一桶的量（等于bucketful）；（非正式）人名；（英）巴克特”，作动词时译为“把（水等）盛于桶中；用桶运”。
发音：英 [?b?k?t??]；美 [?b?k?t??]。
英语范文：
题目：Discuss the importance of bucket-brigade technology in modern society.
Bucket-brigade technology plays a crucial role in many aspects of modern society. From data storage to display technology, this technology has revolutionized the way we process information.
In data storage, bucket-brigade devices allow for the storage of vast amounts of data on a single chip, greatly reducing the need for external storage media such as hard drives or tapes. This has led to a significant improvement in data processing speed and efficiency.
Moreover, bucket-brigade technology is also used in display devices, such as televisions and computer monitors. These devices use a technique called “pixel-by-pixel” addressing, which allows for precise control over the color and brightness of each pixel. This has resulted in a significant improvement in picture quality and viewing experience.
In conclusion, bucket-brigade technology has revolutionized the way we process information and has greatly contributed to the advancement of modern society. It is essential for maintaining our technological lead and ensuring that society remains competitive in the global market.
英语作文：
题目：How can we improve bucket-brigade technology?
To improve bucket-brigade technology, we must focus on three key areas: increasing device density, improving device speed, and enhancing device reliability.
Firstly, increasing device density is crucial because it allows for a greater amount of data storage or display area to be integrated onto a single chip. This requires us to develop new materials and manufacturing techniques that can withstand high temperatures and other harsh conditions.
Secondly, improving device speed requires us to develop new techniques for reducing signal delay and increasing signal speed. This can be achieved through the use of new materials and manufacturing processes that are more conductive and have a lower dielectric constant.
Finally, enhancing device reliability is essential because it ensures that the technology remains reliable over time and under various conditions. This requires us to develop new testing techniques and quality control measures that can identify and eliminate potential defects and failures.
In conclusion, improving bucket-brigade technology requires a combination of fundamental research, development, and testing. Only through this approach can we ensure that our technology remains competitive in the global market and continues to drive the advancement of modern society.
Bucketing
Bucketing is a technique commonly used in data processing to organize and process large amounts of data. It involves dividing the data into smaller, manageable chunks, or "buckets", and processing each bucket individually. This technique is particularly useful in situations where the data is too large to fit into memory or where processing the entire dataset would be too time-consuming.
In my experience, bucketing has been essential in analyzing large datasets for my research project. By breaking down the data into smaller buckets, I was able to process each bucket quickly and efficiently, resulting in a more accurate and reliable analysis of the data.
One of the key benefits of bucketing is its ability to handle data of varying sizes and structures. This flexibility allows for a more versatile approach to data processing, as it can be applied to a wide range of datasets, regardless of their size or structure.
In conclusion, bucketing is a powerful technique that can be used to organize and process large amounts of data quickly and efficiently. Its flexibility and adaptability make it a valuable tool in any data processing environment, whether for research or for commercial applications.
"Bucketing" is a term used in data analysis and machine learning to refer to the process of grouping similar data items together. It is often used in the context of data visualization and clustering algorithms.
The word "bucketing" is pronounced as /b?k?t??/.
Here is an example of an English essay in English using the term "bucketing":
Title: Data Analysis with Bucketing
When analyzing data, one of the most effective ways to organize and understand it is through the use of bucketing. By grouping similar data items together, we can easily see patterns and trends that might otherwise be hidden.
Bucketing is a fundamental tool in data visualization, where groups of data are represented by different colors, shapes, or sizes to make them easier to distinguish and compare. It is also commonly used in clustering algorithms, where similar data items are grouped together to form clusters that can be analyzed and interpreted separately.
One of the benefits of bucketing is its simplicity. It requires little domain knowledge or advanced statistical techniques, making it accessible to a wide range of users. Additionally, it provides a clear and intuitive way of organizing data, making it easier to understand and communicate.
However, like any tool, bucketing has its limitations. It can be difficult to accurately determine the boundaries between different buckets, leading to potential inaccuracies in the analysis. Additionally, it can be difficult to compare different buckets or clusters if they are not properly labeled or described.
Overall, bucketing is a valuable tool in data analysis and machine learning that can help us organize and understand complex data sets. However, it should be used with caution and carefully considered in light of its limitations.
（英文范文，500字以内）
