一种面向在轨服务卫星地面应用系统的软件开发方法

为解决现有在轨服务卫星地面应用系统瀑布式软件开发模型灵活性差,难以适应用户需求变化等不足,通过利用敏捷开发模型的思路,设计了一种迭代式在轨服务卫星地面应用系统软件开发方法,将用户纳入到软件开发过程中,在各个研制阶段持续与用户进行需求迭代,完成业务软件的功能升级。结果表明：该方法可提升业务软件功能与用户需求的匹配程度,并为后续在轨服务卫星地面应用系统的建设提供参考。     

不良气象微环境下桥塔横梁覆冰灾害过程模拟

冬季桥塔横梁坠冰是威胁桥梁交通安全的重大隐患之一,系统分析不良气象微环境下横梁覆冰灾害过程机制,是保证桥梁交通安全的迫切需求。本文依托FLUENT与FENSAP-ICE软件建立了桥塔横梁覆冰数值仿真模型,探讨了风速、液态水含量和环境温度等微气象参数对桥塔横梁覆冰灾害演化过程的影响规律。结果表明：本文提出的数值仿真方法在明冰及霜冰条件下均具有较高的可行性与准确性;对武汉长江二桥桥塔横梁结冰数值模拟发现,覆冰区域集中分布于横梁迎风侧前缘及上下边缘,整体呈现出“U”型分布特征,是横梁防冰、除冰的重点区域;不良气象微环境是影响横梁结冰形态、分布及覆冰量的重要因素,覆冰形状受风速、液态含水量影响较大,受温度影响较小。     

基于Inception-BiLSTM和迁移学习的结构损伤识别

针对传统卷积神经网络（convolutional neural network,CNN）方法在时空特征提取存在不足,提出一种改进的Inception与双向长短期记忆（ bi-directional long short-term memory,BiLSTM）联合模型,以全面学习振动信号中的空间和时序信息。首先,构建具有多尺度感受野的Inception模块,自适应地提取不同尺度下的空间特征;其次,BiLSTM序列化处理时间特征,以深度挖掘时间相关性;最后,通过全局平均池化和Softmax分类器来实现钢框架结构的损伤识别。为评估该模型对噪声的鲁棒性,引入高斯白噪声作为干扰。此外,采用迁移学习策略来评估模型在不同强度激励和小样本下的泛化能力,确保适用于不同的损伤识别任务。结果表明,与传统的CNN方法相比,该模型在无噪声条件下及信噪比超过25dB时保持了100%的识别精度。该方法解决了土木工程应用中样本量不足和不同强度激励的实际挑战。通过微调预训练模型的参数,实现了在不同强度激励和小样本情况下的知识迁移与泛化,从而增强了模型的实际适用性。     

图书馆网络升级设计与应用

对山东工商学院图书馆现有网络系统进行分析和论证,提出了当前网络环境所面临的一些问题。介绍了在原有基础上升级改造网络的规划和设计以及具体的实施应用。     

基于隐结构和网络药理学探讨泛血管疾病用药证型及作用机制

通过计算机技术探讨中医药治疗泛血管疾病的用药证型及可行性,为临床治疗及新药研发提供客观参考依据。检索《中华人民共和国药典》2020版治疗血管类疾病的中成药,进行数据分析;运用Lantern 5.0,进行隐结构分析,对所得Z5组药物进行网络药理学预测及分子对接验证。得到相关中成药79个,涉及中药156味,其中高频中药有丹参、川芎、三七等,功效以补虚药、活血化瘀药为主,以温性药最多,药味以甘、苦为主,入肝、心经;通过隐结构分析推测出常见证候有气虚血瘀、痰瘀阻络、阴阳两虚、阴虚血瘀、气滞血瘀5种。可见泛血管疾病总体是因虚致病,虚实夹杂,气虚血瘀,临床治疗以活血化瘀为主,随证配合补气行气、温阳滋阴、化痰等治法。通过网络药理学及分子对接发现Z5组药物可能通过主要活性成分槲皮素、黄芩素、山奈酚等,激活流体剪切应力与动脉粥样硬化、AGE-RAGE信号通路在糖尿病并发症中的作用、血脂和动脉粥样硬化等信号通路,作用于TNF、AKT1、PTGS2等靶点,干预炎症、细胞增殖和凋亡、脂质代谢等过程而发挥抗动脉粥样硬化作用,从而治疗泛血管疾病,说明通过计算机技术分析已有数据在探索治疗疾病上有其一定的有效性及可能性。     

非马尔科夫可修表决系统可靠性数字仿真

本文设计了求解任意非马尔科夫可修表决系统可靠性指标的仿真算法,通过仿真计算可以获得系统任意瞬态可靠性指标。文中给出了几种不同情况的仿真实例。文末对本文算法进行了检验。     

Novel cued search strategy based on information gain for phased array radar

A search strategy based on the maximal information gain principle is presented for the cued search of phased array radars. First, the method for the determination of the cued search region, arrangement of beam positions, and the calculation of the prior probability distribution of each beam position is discussed. And then, two search algorithms based on information gain are proposed using Shannon entropy and Kullback-Leibler entropy, respectively. With the proposed strategy, the information gain of each beam position is predicted before the radar detection, and the observation is made in the beam position with the maximal information gain. Compared with the conventional method of sequential search and confirm search, simulation results show that the proposed search strategy can distinctly improve the search performance and save radar time resources with the same given detection probability.     

MCHOKeM algorithm with assured bandwidth allocation in DiffServ networks

An active queue management (AQM) algorithm called MCHOKeM is presented, which is borrowed from CHOKeW that draws multi-packets at random from the buffer, the multi-packets are compared with an arriving packet and abandoned if they are from the same flow. But MCHOKeM uses multiple virtual queues for different priority packets and enhances the drawing function by adjusting the maximum number of draws based on the current status of virtual queue length. The number of parameters that MCHOKeM needs to maintain is determined by the number of priority levels being supported by the router, which usually has a small limited value. In order to explain the features of MCHOKeM, an analytical model is used. A series of simulation tests to evaluate the performance are given.     

A new approach of available transfer capability incorporating wind generation

The approach of available transfer capability (denoted as ATC) incorporating wind generation has been paid very high attention since the development of wind generation. Based on the maximum function, this paper presents an ATC model. The characteristic of the new model is twofold. First, it considers wind turbines connected to power system and static security of power system simultaneously. Second, it is a system of semismooth equations and can be solved easily. By using the smoothing strategy, a smoothing Newton method is adopted for solving the proposed new ATC model. Numerical simulation results of the IEEE 30-bus and 118-bus system show that the new model and algorithm are feasible and effective. The impact of wind turbines connected to power system on ATC is also analyzed.     

求解约束优化问题的动量粒子群算法

为解决约束优化问题,提出使用双可行域吸引子策略改进动量粒子群算法。该算法只需初始种群中有一个粒子位于可行域内,随着搜索过程的进行,整个种群自动进入可行域内搜索。一方面,在搜索过程早期,由于可行域内粒子少,所有粒子移向相同的吸引子,整个种群迅速进入可行域内。另一方面,随着进入可行域粒子的增多,由于每个粒子使用距本身最近的可行域吸引子,较好地维持了种种群的多样性,避免早熟现象的发生,使算法具有较好的寻优性能。与国际上当前解决约束优化问题的粒子群算法在4个标准约束优化函数上测试比较,实验结果表明本算法取得的最优值要优于其它粒子群算法。

Abstract：

The strategy that two good positions in feasible region worked as attractors was incorporated into momentum particle swarm optimization algorithm in order to resolve constrained optimization problems. The resulting algorithm only requires that one of the initial particles is in the feasible region, and then all particles in the swam automatically move into the feasible region. On the one hand, in the early iterations few particles appear in the feasible region and hence all particles move toward the same attractors, so the particles soon enter into the feasible region. On the other hand, as the number of particles in the feasible region increases, each particle adopts the most near attractor so that each particle has different attractor. Therefore, the algorithm maintains the diversity of the population, alleviates the premature, and hence achieves good performance. The algorithm is compared with other particle swarm optimization algorithms on four benchmark functions. The experimental results show that the solution of the algorithm is better than that of others.