1.
The Inspection Time Paradigm for Researches on the Speed of Information Processing and Intelligence;
智力与信息加工速度研究中的检测时范式
2.
Checking the Satisfiability of ALCN-concepts with a Complete DNF
完全析取范式检测ALCN-概念的可满足性
3.
Study on Detecting and Preventiving Methods for the Attack of Distributed Denial of Service;
分布式拒绝服务DDoS攻击检测与防范方法研究
4.
It's a wide range of detecting humidiy than Humidity Sensor Module of Resistance.
有着比电阻式湿度测量模块检测更宽的湿度范围.
5.
The range of vision test was from 3.0 to 5.3. The distance between examinee and optometer could be automatically monitored by the system with infrared and ultrasonic testing function.
测试范围从3.0～5.3,方式有自动及手动。并具有自动监督检测距离功能。
6.
Study on Portable Real-time Compact Degree Detection System Based on DSP;
基于DSP的便携式压实度实时检测系统
7.
The Functionally Separation of P300 and CNV in Lie Detection
P300和CNV在GKT的延时反应范式中测谎效果的分离
8.
The guarding and examin ation of rookit in Unix/Linux;
Unix/Linux中rootkit的防范和检测
9.
The rapid measurement system of machine process-controlledtimer is a new instrument to measure the spring-type timer.
机械程序控制定时器快速检测系统是检测发条式机械程序控制定时器的新颖检测仪器。
10.
Intrusion detection belongs to the category of classification and pattern recognization in a broad sense.
入侵检测过程广义上属于分类和模式识别的范畴。
11.
Research and Realization of the Detection and Defending of Distributed Denial of Service Attack;
分布式拒绝服务攻击检测与防范技术的研究与实现
12.
Explored the Range of Value K about Text the Consumption of Potassrum Permanganate in Pure Water
检测饮用纯净水中高锰酸钾消耗量(耗氧量)时K值取值范围的探讨
13.
Conclusion: An intelligent vision testing system is accurate,and at the same time, examiner can work with ease.
结论 :智能视力检测系统结果准确 ,检测范围广 ,同时能减轻医生的工作强度
14.
"An error occurred while attempting to set the enable legacy parallel device detection.
"试图设置启用旧式并行设备检测时出现错误。
15.
WITH THE DRB IN OHMMETER MODE, PROBE THE SYSTEM RELAY OUTPUT CIRCUIT.
当ＤＲＢ处于欧姆方式时，检测系统继电器输出电路。
16.
Real-Time Detecting and Processing of Tilting Control Signal of Tilting Train;
摆式列车倾摆控制信号的实时检测与处理
17.
Research of Driver s Fatigue State Real-Time Detection Based on Non-Contact Meathod;
基于非接触式驾驶人疲劳实时检测方法研究
18.
Periodicity Detection Method of Periodic Pattern Mining in Time Series
时间序列周期模式挖掘的周期检测方法