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1·The application of binary collision assumption and the assumption of molecular chaos to gas-particle flows is also discussed.

本文还讨论了二体碰撞假设和混沌假设在气固两相流中的适用性。

2·In the binary collision model, the Coulomb interaction between the test and the target particles is screened because of the polarization of the target.

在二进制的冲突模型里，在试验和目标粒子之间的库仑相互作用被筛选，因为目标的极化作用。

3·Based on the particles aggregation coefficient calculated by the binary collision-aggregation model, the total particle removal rate was simulated by solving the particle General Dynamic Equation.

采用二元碰撞聚并模型计算了粒子在均匀磁场中的聚并系数，在此基础上求解了粒子聚并动力学方程，预测了粒子的聚并脱除效率。

4·This Paper presents a RFID monitor system for the security of coal miner. SLRC400 is the core part of RFID reader, and it uses binary search arithmetic to identify collision.

本文采用SLRC400芯片，并将二进制搜索算法引入其软件编程中，按位识别碰撞，构成了矿用人员射频识别（RFID）监控系统的核心。

5·The technique of TDMA can solve this problem. In TDMA, there are several anti - collision algorithms, such as ALOHA, Slotted ALOHA, binary search, dynamic binary search and so on.

解决这个问题可以采用时分多路存取技术，其相关的算法有aloha法、时隙aloha法、二进制搜索法、动态二进制搜索法等防碰撞算法。

6·According to the collision cause of Radio Frequency Identification system, this paper analysis the work and principles of process of binary searching algorithm and dynamic binary searching algorithm.

然后根据射频识别系统碰撞产生的原因，研究分析了二进制搜索算法、动态二进制搜索算法的工作原理和过程。

7·Ironically, this indirect evidence of a destructive planetary collision could also be the first indication that planetary systems can form around close binary stars.

更讽刺的是，这个毁灭性的行星对撞，很可能也是行星系统有可能在密近双星周围形成的首个间接证据。

8·For this multi-label collisions problem, this paper focuses on describing two kinds of main label anti-collision algorithm based on TDMA, ALOHA algorithm and binary tree.

针对多标签的碰撞问题，本文重点介绍和讨论基于TDMA的两类主流的标签防碰撞算法：基于ALOHA的标签防碰撞算法和基于二进制树的标签防碰撞算法。

9·The elementary binary search algorithm and some improved algorithms were analyzed, and an adaptive anti-collision algorithm based on collision-tree (ACT) was proposed.

在对二进制搜索算法及其各种改进算法分析的基础上，提出了基于冲突树的标签自适应防碰撞算法(act)。