基于uclinux的嵌入式网络洗碗机

采用32位ARM内核的S3C44B0作为核心微处理器,设计了网络洗碗机控制器各个模块的硬件电路,包括系统电源、FLASH、SDRAM、网口、LCD显示屏等.在基于嵌入式实时操作系统μClinux的软件平台上,移植了用户图形界面minigui,编写了洗碗机的应用软件.试验情况表明,系统既可实现洗碗机现场操控功能,又能够进行基于以太网的数据通信,对洗涤参数和运行状态进行远程监测,其可靠性和实时性达到了设计要求.     

主流倾斜的引射器试验研究

作者设计了 4种主流倾斜的引射器模型,分别在 5种主气流倾斜角和 4种排气反压下,完成了模型冷流试验。试验表明,4种模型中具有等直管的模型 3,4引射系数普遍高于大头模型 1,2。在零气流角和反压为大气压时,约高 10%左右,最高引射系数为 3.379。试验还表明,具有等直管的模型3和模型4能承受的反压较大。引射系数 N为零的反压可高至 900mm水柱左右。 4种引射器模型中,模型 4的综合性能最好      

地磁场与电离层异常现象及其与地震的关系

利用中国地磁台网与电离层台站资料,总结了大地震前出现的地磁低点位移、地磁日变异常及电离层f0F2(F2层临界频率)异常现象.对比研究了1997年11月8日玛尼7.5级与2001年11月14日昆仑山口西8.1级地震前磁场与电离层异常分布及特征.结果显示,两次巨大地震前磁场与电离层短临异常时空分布特征有较好的一致性,震中周围出现日变异常、拉萨台出现电离层f0F2明显异常;震前约1个月出现地磁低点位移,其突变分界线通过震中地区.      

Investigation of precursory phenomena in the ionosphere,atmosphere and groundwater before large earthquakes of M > 6.5

Precursory phenomena in the ionosphere, atmosphere and groundwater before large earthquakes (M > 6.5) are extensively investigated toward the earthquake prediction. Upward tornado type seismic clouds occurred near the epicenter associated with strong LF-VLF radio noises from lightning discharges in the evening of January 9, 1995 [Yamada, T., Oike, K. On the increase of electromagnetic noises before and after the 1995 Hyogo-Ken Nanbu earthquake. In: Hayakawa M. (Ed.), Atmospheric and Ionospheric Electromagnetic Phenomena Associated with Earthquakes. TERRAPUB, Tokyo, pp. 417–427, 1999] and anomalous foEs increases up to 10 MHz were detected at Shigaraki, 90 km of the epicenter and at Kokubunji, 500 km east of the epicenter [Ondoh, T. Anomalous sporadic-E layers observed before M7.2 Hyogo-ken Nanbu earthquake; Terrestrial gas emanation model. Adv. Polar Upper Atmos. Res. 17, 96–108, 2003; Ondoh, T. Anomalous sporadic-E ionization before a great earthquake, Adv. Space Research 34, 1830–1835, 2004] associated with strong ELF noises from lightning discharges in the daytime on January 15, 1995 [Hata, M., Fujii, T., Takumi, I. EM precursor of large-scale earthquakes in Japan, in: Abstracts of International Workshop on Seismo Electromagnetics (IWSE 2005), Univ. Electro-Communications, Chofu, Tokyo, Japan, March 15–17, pp. 182–186, 2005] before the M7.2 Hyogoken–Nanbu earthquake of January 17, 1995. The anomalous foEs increases occurred at epicentral distances within 500 km that are the same as those of the terrestrial gas emanations along active faults before large earthquakes [King, C.-Y. Gas geochemistry applied to earthquake prediction: An overview. J. Geophys. Res. 91(B12), 12269–12281, 1986]. The anomalous foEs increases seem to be a seismic precursor because geomagnetic and solar conditions were very quiet all day on January 15,1995 and the normal foEs in Japanese winter is below 6 MHz. No significant pre-seismic geomagnetic field variation was detected at epicentral distance of 100 km before this earthquake [Ondoh, T., Hayakawa, M. Anomalous occurrence of sporadic-E layers before the Hyogoken–Nanbu earthquake, M7.2 of January 17, 1995. In: Hayakawa, M. (Ed.), Atmospheric and Ionospheric Electromagnetic Phenomena Associated with Earthquakes, TERRAPUB, Tokyo, pp. 629–639, 1999; Ondoh, T., Hayakawa, M. Seismo discharge model of anomalous sporadic E ionization before great earthquakes. In: Hayakawa, M., O.A. Molchanov, (Eds.), Seismo Electromagnetics: Lithosphere–Atmosphere–Ionosphere Couplings, TERRAPUB, Tokyo, pp. 385–390, 2002; Ondoh. T., Hayakawa, M. Synthetic study of precursory phenomena of the M7.2 Hyogo-ken Nanbu earthquake. Phys. Chem. Earth 31, 378–388, 2006]. The foF2 decrease and h’F increase occurred before the M7.8 Hokkaido Nansei-Oki earthquake of July 12,1993 in a geomagnetic quiet period [Ondoh, T. Ionospheric disturbances associated with great earthquake of Hokkaido southwest coast, Japan of July 12, 1993. Phys. Earth Planet. Interiors. 105, 261–269, 1998; Ondoh, T. Seismo ionospheric phenomena. Adv. Space Res. 26, 8, 1267–1272, 2000]. Characteristic phase changes at terminator times of Omega 10.2 kHz waves passing 70 km of the epicenter extended toward darker local times by 1 h for 3 days before this earthquake due to lowering of the wave reflection height or ion density increases in the D region [Hayakawa, M., Molchanov, O. A., Ondoh, T., Kawai, E. The precursory signature effect of the Kobe earthquake on VLF subionospheric signals. J. Commun. Res. La., 43, 00. 169–180, 1996]. The radon concentration in the atmosphere over Ashiya fault, Kobe [Yasuoka, Y., Shinogi, M. Anomaly in atmospheric radon concentration: a possible precursor of the 1995 Kobe, Japan, earthquake. Health Phys. 72(5), 759–761, 1997] and in the groundwater at 17 m well in Nishinomiya, Japan [Igarashi, G., Saeki, S., Takahata, N., Sumikawa, K., Tasaki, S., Sasaki, Y., Takahashi, M., Sano, Y. Ground-water radon anomaly before the Kobe earthquake in Japan. Science 269, 60–61, 1995] had gradually increased since 2 months before the M7.2 earthquake, increased suddenly in December 1994, and rapidly returned to the normal low level of October, 1994 [Yasuoka, Y., Shinogi, M. 1997. Anomaly in atmospheric radon concentration: a possible precursor of the 1995 Kobe. Japan, earthquake. Health Phys. 72(5), 759–761.]. Radon concentration changes in the groundwater before the M 7.0 Izu-Oshima-kinkai earthquake, Japan on January 14, 1978 [Wakita, H., Nakamura, Y., Notsu, K., Noguchi, M., Asada, T. 1980. Radon anomaly: a possible precursor of the 1978 Izu-Oshima-kinkai earthquake. Science 207, 882–883] and the M6.8 Chengkung earthquake, Taiwan on December 10, 2003 [Kuo, T., Fan, K., Chen, W., Kuochen, H., Han, Y., Wang, C., Chang, T., Lee, Y. Radon anomaly at the Antung Hot Spring before the Taiwan M6.8 Chengkung earthquake. Proceedings, Thirty-First Workshop on Geothermal Reservoir Engineering, Stanford University, Stanford, California, January 30–February 1, 2006, SGP-TR-179, 2006] are also investigated to find common features of the groundwater radon concentration changes before large earthquakes (M > 6.5) in comparison with those before the M7.2 Hyogoken–Nanbu earthquake. Groundwater radon concentrations before the 3 large earthquakes had shown common characteristic changes of gradually initial ones from the normal level since about 2 months before the earthquake onsets, rapid decreases down to the minimum, and quick increases up to the maximum at 7–20 days before the earthquake onsets, respectively. These are very useful characteristics of pre-seismic radon anomaly for the earthquake prediction or warning. Promising observations toward the earthquake prediction are also discussed.     

利用F_(10.7)短期预报电离层F_0F_2

通过对电离层历史数据和太阳射电流量F10.7的回归分析,提出了一种单站电离层f0F2的短期预报方法,以F10.7的流动平均值fc为输入,以未米3天的f0F2为输出,分别利用中国地区8个台站的数据进行检验,分析不同太阳活动水平、季节以及地方时预报误差的分布特征.结果表明,该方法能有效地预测未来1～3天的f0F2.该方法还可应用于其他电离层参量的短期预报.     

基于CFD/CSD耦合方法的新型桨尖旋翼气动弹性载荷计算

为提高旋翼非定常气动弹性载荷的分析精度,在刚性旋翼计算流体力学(CFD)方法中引入计算结构动力学(CSD)方法,建立了一套适合于新型桨尖旋翼气动弹性载荷分析的CFD/CSD耦合方法。旋翼流场分析采用NavierStokes/Euler方程作为控制方程,围绕旋翼生成运动嵌套网格。在流场求解中,采用双时间法推进,通量计算采用Jameson中心格式,并采用B-L(Baldwin-Lomax)湍流模型。基于Hamilton变分原理和中等变形梁理论开展桨叶弹性运动变形分析,并发展了一套具有任意转角梁单元的新方法以提高新型桨尖旋翼的动力学分析精度。采用基于代数变换方法的网格变形策略,建立了一套CFD/CSD松耦合方法,桨叶运动变形和旋翼气动力信息通过流固交接面传递。首先分别对CSD和CFD模块进行了验证,然后计算了UH-60A旋翼在高速前飞状态下的气动弹性载荷,并与试验值进行了对比,最后重点对旋翼桨尖形状进行了参数分析。计算结果表明,相比于升力线理论和刚性旋翼CFD方法,CFD/CSD耦合方法可以显著提高旋翼非定常气动弹性载荷的分析精度,并能更准确地反映新型桨尖旋翼的气动弹性耦合效应;同时采用后掠桨尖在桨叶前行侧30°~90°方位角范围可以显著降低激波强度,有利于改善旋翼的气动特性。     

基于稀疏表示和近似(e)0范数约束的宽带信号DOA估计

针对宽带信号的波达方向(DOA)估计问题,在稀疏框架下提出一种近似(e)0范数约束的宽带信号DOA估计新算法.首先对宽带信号进行预处理,得到同一参考频率点下的接收数据,然后对其协方差矩阵元素进行加和平均运算,得到一个低维的观测向量,并在稀疏框架下进行稀疏表示,最后利用截断(e)1函数设定权值,构造逼近(e)0范数约束的稀疏重构方法,进而重构信号,获得宽带信号的DOA估计.仿真结果表明,相比于传统的宽带信号DOA估计算法,所提算法具有更高的分辨率和估计精度.     

江苏海涂围垦最优决策

根据江苏省海涂资源的特点及开发利用现状，从全局和长远经济效益现值最大的观点出发，对各片海涂的上地利用作了优化和最优开发决策，从而进一步对多片海涂匡围进度进行最优决策。解决了海涂开发与匡围过程中的最优投资分配问题，建立了解决这一问题的通用数学模型。该模型将复杂的决策优化过程化为线性规划与０～１规划相结合的层次体系，通过协调求解。方法简便、实用。     

测试不可靠条件下多故障诊断方法

针对部队复杂系统故障诊断中存在的诊断精度低,虚警率高等问题,提出一种测试不可靠条件下多故障诊断方法.为解决系统诊断贝叶斯网络结构和概率映射表建立困难的问题,通过建立系统的多信号流图模型,从而获得系统诊断贝叶斯网络.将测试不可靠度引入概率映射表,增加了算法工程应用中的鲁棒性.利用后验概率诊断推理将问题归结为不等式约束极值问题,采用0-1规划隐数法对不等式极值问题求解,从而获得最优解.以某型导弹制导系统电子部件为例,验证了该方法对复杂系统多故障诊断的有效性.      

利用神经网络预报中国地区电离层f0F2

利用神经网络技术并考虑太阳和地磁活动对电离层的影响,提出了一种提前5 h预报中国地区电离层临界频率f0F2的方法.网络输入包括时间、季节、地理纬度、太阳天顶角、最近一天的12个观测值(F-23,F-22,F-21,F-20,F-19,F-18,F-5,F-4,F-3,F-2,F-1,F0)和前30天滑动平均值(A-24,A-23,A-22,A-4,A-3A-2,A-1,A0),网络输出分别为未来5 h的f0F2值F+1,F+2,F+3,F+4,F+5.选取乌鲁木齐、长春、重庆和广州站1958-1968年间的数据训练网络,利用中国9个电离层站的历史数据检验网络,根据均方根误差衡量网络性能的好坏.结果表明,神经网络的预报结果能较好地符合实测数据.这说明利用神经网络实现中国地区电离层f0F2的时空预报是可行的.