dynamic accuracy
简明释义
动力精度
英英释义
Dynamic accuracy refers to the ability of a system or measurement to maintain precision and reliability while undergoing changes in conditions or environments. | 动态准确性是指系统或测量在条件或环境发生变化时保持精确性和可靠性的能力。 |
例句
1.The new algorithm significantly improved the dynamic accuracy of the tracking system, allowing it to adjust in real-time.
新算法显著提高了跟踪系统的动态准确性,使其能够实时调整。
2.In robotics, achieving high dynamic accuracy is crucial for tasks that require precise movements.
在机器人技术中,实现高动态准确性对于需要精确动作的任务至关重要。
3.The sports analytics software uses dynamic accuracy to evaluate player performance during games.
体育分析软件利用动态准确性来评估比赛中的球员表现。
4.The dynamic accuracy of the weather forecasting model was validated through extensive simulations.
天气预报模型的动态准确性通过广泛的模拟得到了验证。
5.Engineers are focused on enhancing the dynamic accuracy of the drone's navigation system.
工程师们专注于提高无人机导航系统的动态准确性。
作文
In today's rapidly changing world, the concept of dynamic accuracy (动态准确性) has become increasingly important across various fields, including technology, science, and even everyday life. Unlike static accuracy, which refers to the precision of a measurement at a specific point in time, dynamic accuracy emphasizes the ability to maintain precision while conditions are constantly shifting. This adaptability is crucial in environments where variables can change unexpectedly, making it essential for professionals to understand and implement this concept effectively.For instance, in the realm of technology, consider the development of autonomous vehicles. These vehicles rely heavily on sensors and algorithms to navigate complex road systems. Here, dynamic accuracy ensures that the vehicle can accurately interpret real-time data from its surroundings, such as the speed of other cars, the distance to pedestrians, and changes in traffic signals. If an autonomous vehicle lacks dynamic accuracy, it may misjudge a situation, leading to potentially dangerous outcomes. Therefore, engineers focus on enhancing the dynamic accuracy of these systems to ensure safer driving experiences.Moreover, in the field of data analysis, businesses must often make decisions based on fluctuating market trends. The ability to analyze data with dynamic accuracy allows companies to respond swiftly to changes in consumer behavior or economic conditions. For example, a retail company might track sales data daily to adjust its inventory levels. If the analysis lacks dynamic accuracy, the company could either overstock or understock items, resulting in lost revenue or dissatisfied customers. Thus, maintaining dynamic accuracy in data analysis is vital for operational efficiency and customer satisfaction.In scientific research, dynamic accuracy plays a significant role as well. Researchers often conduct experiments that require real-time monitoring of various factors, such as temperature, pressure, or chemical concentrations. Ensuring dynamic accuracy in these measurements allows scientists to draw reliable conclusions and make informed decisions based on their findings. For instance, in drug development, precise measurements of how a drug interacts with biological systems over time are critical. Any loss of dynamic accuracy could lead to incorrect assumptions about a drug's efficacy or safety.In conclusion, the importance of dynamic accuracy (动态准确性) cannot be overstated in our fast-paced world. Whether in technology, business, or scientific research, the ability to maintain precision in the face of change is essential for success. As we continue to innovate and adapt to new challenges, understanding and enhancing dynamic accuracy will be key to navigating the complexities of our environment. Professionals across various fields must prioritize this concept to ensure that they remain competitive and effective in their respective domains.
相关单词