Temperature Comparison(温度比较)研究综述
Temperature Comparison 温度比较 - At last, the temperature comparison has been made between the simulated and measured. [1] The multilayer TRT analysis was validated using root mean square error and temperature error, obtained from temperature comparison between the numerical simulation results and the TRT data. [2] Besides, the temperature comparisons showed that the year in which the warm months (April–September) in northeast China began to warm up has latitude differences. [3] The temperature comparison between the heat transfer model and sensing outputs is in good agreement. [4] The measurement results of temperature comparison between DS18B20 sensor and thermometer, have an average difference of 0. [5] Pressure and temperature comparisons for the three scratch depths show good correlation, and give the expected results for cases with a scratch. [6] Figure 1 illustrates the cooling system designs and Table 1 shows the temperature comparison for them. [7] The data was collected from the test point value on each temperature spot, the temperature comparison between TA modules used fluke temperature meter as comparison tool and the calibration of baby incubator. [8] Most of the archaeological clay brick samples used in this study should be produced by firing at the high-temperature comparison with those brick samples used in old buildings of Kathmandu valley. [9] Temperature comparisons performed under the two environments show discrepancies between local and setpoint temperatures. [10]最后,对模拟和实测的温度进行了比较。 [1] 多层 TRT 分析使用均方根误差和温度误差进行验证,该误差是通过数值模拟结果与 TRT 数据之间的温度比较获得的。 [2] 此外,温度对比表明,东北暖月(4-9月)开始升温的年份存在纬度差异。 [3] 传热模型和传感输出之间的温度比较非常一致。 [4] DS18B20传感器与温度计的温度比较测量结果,平均相差0。 [5] 三种划痕深度的压力和温度比较显示出良好的相关性,并给出了划痕情况下的预期结果。 [6] 图 1 说明了冷却系统设计,表 1 显示了它们的温度比较。 [7] 数据是从每个温度点的测试点值,TA模块之间的温度比较使用福禄克温度计作为比较工具和婴儿保育箱的校准来收集的。 [8] 本研究中使用的考古粘土砖样品大部分应与加德满都谷地旧建筑中使用的砖样品在高温下进行比较。 [9] 在两种环境下进行的温度比较显示了局部温度和设定温度之间的差异。 [10]
temperature comparison test
Thus, this study will enforce security solutions to IoT-based devices specifically in the perception layer by incorporating a Temperature Comparison Test, Keyed Hash Algorithm and evaluating it using SPRT especially in the defense against malicious activities detected in the nodes of a network namely for Mobile and Immobile attacks. [1] Improvement of thermal resistance was verified by measuring reduction of internal temperatures in the high temperature comparison test. [2]因此,本研究将通过结合温度比较测试、密钥散列算法并使用 SPRT 对其进行评估,特别是在防御网络节点中检测到的恶意活动(即针对移动设备和不动的攻击。 [1] 通过在高温比较试验中测量内部温度的降低来验证热阻的改善。 [2]