How proteins are targeted and translocated mediated by signal recognition particle (SRP) in eukaryotic cell is very clear and uniform.
信号识别颗粒（SRP）在真核细胞中如何定向和转运蛋白质是非常清楚和统一的。
In this paper, we introduce an automatic particle recognition approach based on Fourier descriptors from the application point of view.
本文从应用的角度出发，提出了一种基于傅立叶描述符的颗粒形状自动识别方法。
To detect and analyze situation events in intelligent surveillance, a method of real time recognition of situation events based on particle filter is proposed.
为解决智能监控场景中场景事件的检测与分析问题，提出了一种基于粒子滤波的场景事件实时识别方法。
Automatic particle shape recognition has been widely used in the research area and product development such as bacterial cells and atmospheric particles analysis.
颗粒图像形状的自动识别广泛应用于大气颗粒、细胞细菌采样分析等产品的研究开发。
They are increasing and decreasing active sites of particle, molecular weight of flocculant, amount of flocculant, molecular recognition and conformation of flocculant.
吸附角度又包括增减颗粒上的活性质点数、絮凝剂分子量、絮凝剂用量、分子识别和絮凝剂形态五个方面。
The particle swarm classifier is designed for radar target recognition in remote images.
设计了一种用于遥感图像目标识别的粒子群分类算法。
The recognition of the wear particle is the most important for realizing the automatic ferrography analysis.
磨损磨粒的模式识别方法是实现铁谱分析数字化和智能化的最为重要的内容。
Finally, the paper used particle swarm optimized neural network into fault pattern recognition.
最后将粒子群算法优化神经网络引入故障模式识别中。
An improved immune particle swarm optimization was presented in this study in order to increase the effectiveness of feature selection for emotion recognition based on Galvanic Skin Response (GSR).
为了增强情感识别过程中皮肤电反应(GSR)信号特征选择的有效性，提出了一种改进的模拟退火免疫粒子群算法。
At present, wear particle recognition is mainly completed by manual work, the accuracy of which is too subjective too make further applications.
目前磨损磨粒识别主要由人工分析来完成，识别的准确性有很大的主观性，这使磨损磨粒识别难以智能化。
At present, wear particle recognition is mainly completed by manual work, the accuracy of which is too subjective too make further applications.
目前磨损磨粒识别主要由人工分析来完成，识别的准确性有很大的主观性，这使磨损磨粒识别难以智能化。
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