高梯度加速管的束流传输

对不同能量、不同质量数、不同初始条件的入射束和有无空间电荷效应的离子束流在高梯度加速管中的传输进行了计算，并讨论了一些影响加速管聚焦作用的主要因素，计算结果与实际情况相符。     

THE ANALYSIS OF THE SEPARATED LAYERS ALGORITHM BY DOMAIN DECOMPOSITION METHOD

From the principle of of the Domain Decomposition Method (DDM), we analyse the 2nd-order linear elliptic partial differential problems and link the Separated-Layers Algorithm (SLA) with DDM. The mathematical properties of SLA and numerical example are presented to obtain satisfactory computation results. For general linear differential ones, also are the structure of SLA and its characteristics discussed.     

影响DT岩石粉状铵梯炸药爆速的因素探索

文章从ＤＴ岩石粉状铵梯炸药的原材料细度，复合油相，混药时间，投料顺序，混药药温，装药密度等方面，探讨了该炸药爆速的影响因素。     

An energy dispersive micro X-ray diffractometer based on a combined system of polycapillary optics

An energy dispersive micro X-ray diffractometer based on a combined system of two polycapillary X-ray lenses is designed. The polycapillary X-ray lens in the excitation channel is either a polycapillary parallel X-ray lens (PPXRL) or a slightly focusing polycapillary X-ray lens (SFPXRL). The polycapillary X-ray lens in the detection channel is a PPXRL. At 6.4 keV and 2θ = 141.5°, the total resolution of the diffractometer based on a SFPXRL in the excitation channel and a PPXRL in the detection channel in Δd/d is 4.8%.     

新年贺词

雄鸡高唱 ,万象更新 !带着盎然春意 ,带着勃勃生机 ,2 0 0 5年向我们大步走来 !值此新年到来之际 ,谨向关心、爱护、支持《消防技术与产品信息》杂志的各界朋友和广大读者致以亲切的问候和最美好的祝愿 !党的十六届四中全会通过的《中共中央关于加强党的执政能力建设的决定》提出 ,要“发挥社团、行业组织和社会中介组织提供服务、反映诉求、规范行为的作用 ,形成社会管理和社会服务的合力”,对社团、行业组织寄予厚望。我们决心在公安部和中国科协的领导下 ,紧紧围绕消防中心工作 ,进一步做好协会的各项工作 ,为发展我国的消防事业服务 ,更…     

西门子S7-200可编程控制器在气化油点火技术中的应用

以西门子S7—200PLC为核心。利用火检探头。温度、压力等传感器，结合STEP 7 MicmwIN V3．1以及ProTool Pro CS工业组态软件完成了对点火过程的自动控制。实现了西门子S7—200PLC在大型发电厂410吨级蒸汽锅炉“气化油直接点燃煤粉技术”中的应用。提高了锅炉点火系统运行的自动化水平。     

Optimal phases for a family of quadriphase CDMA sequences

Signature sequences with good even even and odd (or polyphase) correlations are crucial for asynchronous code-division multiple access (CDMA). When the data sequence is random, the even and odd (or polyphase) correlations are equally important. However, for most known signature sequences, only their even correlations were analyzed. It appears that determining the odd (or the polyphase) correlations is generally a very hard problem since the odd (or the polyphase) correlations depend on the phases of the signature sequences. Sole (1989), Boztas, Hammons, and Kumar (1992) found a family of quadriphase sequences that are asymptotically optimal. These sequences gain a factor √2 in terms of their maximum periodic even correlations when compared with the best possible binary phase-shift keying (BPSK) sequences. We find the optimal phases of these sequences. The optimality is in the sense that at these phases, the mean square values of the even, odd, and the polyphase correlations are minimal, and achieve the Welch (1974) bound-equality simultaneously. Furthermore, we show that at these phases, the average user interference of these sequences is always smaller than that of the ideal random signature sequences. Comprehensive analytical and numerical results show that good phase sequences can offer a nonnegligible amount of gain over bad phase sequences at modest and high signal-to-noise ratios     

微波高压提取快速测定饲料含氟量的探讨

采用微波高压制样技术,快速提取饲料中的氟元素,结合氟离子选择性电极标准添加和电位极差测试方法,能够快速、准确地测试饲料中的含氟量     

Analogue implementation of a neural network controller for UPSinverter applications

An analogue neural-network controller for UPS inverter applications is presented. The proposed neural-network controller is trained off-line using patterns obtained from a simulated controller, which had an idealized load-current-reference. Simulation results show that the proposed neural-network controller can achieve low total harmonic distortion under nonlinear loading condition and good dynamic responses under transient loading condition. To verify the performance of the proposed NN controller, a hardware inverter with an analogue neural network (NN) controller (using mainly operational amplifiers and resistors) is built. Additionally, for comparison purposes, a PI controller with optimized parameters is built. Experimental results confirm the simulation results and show the superior performance of the NN controller especially under rectifier-type loading condition. Implementing the analogue neural-network controller using programmable integrated circuits is also discussed