基于WHD-CRM的群体机器人故障检测

使用交叉调节模型(CRM)进行故障检测,是一种重要的基于人工免疫模型的群体机器人故障检测方法.针对CRM在不同群体行为下,检测群体机器人故障通用性受限的问题,通过研究行为特征在不同群体行为下的影响力等级,提出了使用加权汉明距离的交叉调节模型(WHD-CRM).相比于CRM,WHD-CRM对不同群体行为的机器人行为特征赋予了不同的权值,获得了更加精确的中间结果(亲和力值),进而提高了各类群体行为下检出故障机器人的概率.实验结果表明:相比于使用原始CRM,WHD-CRM的故障检测率提高了13%.

使用CIDOC CRM构建建筑领域非遗知识本体

非物质文化遗产是人类文明和历史文化的宝贵资源。运用本体技术可以实现非遗资源数字化管理,有利于非遗资源的保护、利用和共享。项目首次将文物保护领域的本体框架CIDOC CRM用于中国传统木结构建筑营造技艺这一非遗领域,并结合建筑领域的特性对CIDOC CRM模型结构进行选择和扩充,定义建筑领域非遗知识本体的概念类及其属性,并在实例化过程中运用TextRank算法处理文本语料,实现本体实例的扩充,将本体模型进行数据映射,存入Neo4j图数据库中,以知识图谱的形式实现可视化展示。实验表明:运用上述方法构建传统建筑非遗知识本体模型是可行的;创建的本体能将各种碎片化知识有效地连接在一起。该方法可用于对领域知识进行管理,将在建筑领域的非遗数字化保护和合理利用方面起到重要作用。

浅蓝霉素H产生菌CRM05的发酵条件优化及其抗菌活性研究

目的 优化海洋来源的蓝灰异壁放线菌OUCMDZ-413突变株CRM05的发酵条件,提高浅蓝霉素H的发酵产量并测定其对海洋环境病原细菌的抑菌活性。方法 探索培养基组成、接种量、种龄、发酵天数、盐度、pH、碳源、氮源、前体以及大孔吸附树脂添加量,再采用单因素实验和正交实验确定最优发酵条件。结果 优化后浅蓝霉素H的最佳发酵条件为:摇瓶发酵11 d(28℃、180 r/min)、装液量150/500 mL(体积分数)、优化培养基(20 g可溶性淀粉、10 g蛋白胨、10 g酵母浸膏、4 g NaCl、4 g CaCO_(3)、0.1 g 2-吡啶甲酸、40 g XAD-16大孔吸附树脂、1 L陈海水、灭菌前用1 mol/L盐酸调节pH 6.5)、2%接种量、5 d种龄(即菌落的A_(600)2.72)。结论 以优化条件发酵菌株CRM05,浅蓝霉素H的分离产量达到434 mg/L,是优化前液体发酵产量的10倍和优化后固体发酵产量的1.6倍。浅蓝霉素H可显著抑制3种海洋弧菌—溶藻弧菌、创伤弧菌和副溶血弧菌,其最小抑菌浓度分别为8、16和16μg/mL,活性强于环丙沙星(相应的最小抑菌浓度分别为64、64和32μg/mL)。

CRM管理理念在高校图书馆管理中的应用——以中山大学图书馆为例

客户关系管理理念在商业及公共服务领域的成功应用及积累的经验,能为高校图书馆的文献资源服务及管理提供借鉴。高校图书馆的服务及管理可利用CRM管理理念分析各类服务数据,应用CRM技术整合服务项目,重新规划服务流程,分析读者行为,实现个性化服务,一对一服务,定制导向型服务,提高读者的满意度,提高馆藏文献资源的使用率,为高校教学科研及人才培养提供最全面的文献信息资源保障。该文以中山大学图书馆服务管理为例,针对服务中存在的问题,利用CRM管理理念,梳理服务数据,规划服务流程,整合服务项目,以期实现图书文献资源服务效益的最大化。

基于CRM模型的障碍物遮蔽安全风险研究

为研究机场遮蔽应用规则,防止超高障碍物对机场安全运行产生影响,首先,调研分析美国、英国、印度等诸多国家的机场遮蔽应用情况;然后,针对机场周边障碍物限制面内不同的遮蔽区域,利用碰撞风险模型(CRM)模拟仿真障碍物遮蔽点碰撞风险值,提出不同区域遮蔽规则;最后,结合实际情况,提出机场障碍物限制面内不同区域遮蔽方法和要求。结果表明:起飞爬升面和进近面内遮蔽区域按照一定扩散率外扩划设;过渡面内不建议应用遮蔽原则;内水平面和锥形面内按照分区域划设。

Optimal maneuver strategy to improve the observability of angles-only rendezvous

This paper proposes an optimal maneuver strategy to improve the observability of angles-only rendezvous from the perspective of relative navigation.A set of dimensionless relative orbital elements(ROEs)is used to parameterize the relative motion,and the objective function of the observability of anglesonly navigation is established.An analytical solution of the optimal maneuver strategy to improve the observability of anglesonly navigation is obtained by means of numerical analysis.A set of dedicated semi-physical simulation system is built to test the performances of the proposed optimal maneuver strategy.Finally,the effectiveness of the method proposed in this paper is verified through the comparative analysis of the objective function of the observability of angles-only navigation and the performances of the angles-only navigation filter under different maneuver schemes.Compared with the cases without orbital maneuver,it is concluded that the tangential filtering accuracy with the optimal orbital maneuver at the terminal time is increased by 35%on average,and the radial and normal filtering accuracy is increased by 30%on average.

A two-step method to detect broadcast ephemeris unavailable periods caused by BeiDou satellite orbital maneuvers

The space constellation of the BeiDou navigation satellite system(BDS) is a hybrid constellation containing medium earth orbit(MEO) satellites, geostationary earth orbit(GEO) satellites, and inclined geosynchronous orbit(IGSO) satellites. Due to the geosynchronous characteristics of GEO and IGSO, GEO satellites and IGSO satellites often need to perform orbital maneuvers, which can affect the signal-inspace(SIS) availability performance of BeiDou satellites. A two-step detection method for BeiDou satellite orbital maneuvers has been proposed in this paper. The first step is to identify orbital maneuvers based on time series analysis of broadcast ephemeris, and the second step is to verify orbital maneuvers based on bidirectional orbit prediction. The two-step detection method was used to detect the orbital maneuvers of BeiDou satellites in 2019. Through the double guarantees of identification and verification,the detection accuracy of BeiDou satellite orbital maneuvers has been effectively improved. And the orbital maneuver detection results are continued to be used to assess the SIS availability of BeiDou satellites. The results show that the availability loss of GEO satellite orbital maneuvers is about 0.45%-1.07%, and the availability loss of IGSO satellite orbital maneuvers is about 0.12%-0.19%.

Optimal maneuvering strategy of spacecraft evasion based on angles-only measurement and observability analysis

Spacecraft orbit evasion is an effective method to ensure space safety. In the spacecraft’s orbital plane, the space non-cooperate target with autonomous approaching to the spacecraft may have a dangerous rendezvous. To deal with this problem, an optimal maneuvering strategy based on the relative navigation observability degree is proposed with angles-only measurements. A maneuver evasion relative navigation model in the spacecraft’s orbital plane is constructed and the observability measurement criteria with process noise and measurement noise are defined based on the posterior Cramer-Rao lower bound. Further, the optimal maneuver evasion strategy in spacecraft’s orbital plane based on the observability is proposed. The strategy provides a new idea for spacecraft to evade safety threats autonomously. Compared with the spacecraft evasion problem based on the absolute navigation, more accurate evasion results can be obtained. The simulation indicates that this optimal strategy can weaken the system’s observability and reduce the state estimation accuracy of the non-cooperative target, making it impossible for the non-cooperative target to accurately approach the spacecraft.

Air combat target maneuver trajectory prediction based on robust regularized Volterra series and adaptive ensemble online transfer learning

Target maneuver trajectory prediction is an important prerequisite for air combat situation awareness and maneuver decision-making.However,how to use a large amount of trajectory data generated by air combat confrontation training to achieve real-time and accurate prediction of target maneuver trajectory is an urgent problem to be solved.To solve this problem,in this paper,a hybrid algorithm based on transfer learning,online learning,ensemble learning,regularization technology,target maneuvering segmentation point recognition algorithm,and Volterra series,abbreviated as AERTrOS-Volterra is proposed.Firstly,the model makes full use of a large number of trajectory sample data generated by air combat confrontation training,and constructs a Tr-Volterra algorithm framework suitable for air combat target maneuver trajectory prediction,which realizes the extraction of effective information from the historical trajectory data.Secondly,in order to improve the real-time online prediction accuracy and robustness of the prediction model in complex electromagnetic environments,on the basis of the TrVolterra algorithm framework,a robust regularized online Sequential Volterra prediction model is proposed by integrating online learning method,regularization technology and inverse weighting calculation method based on the priori error.Finally,inspired by the preferable performance of models ensemble,ensemble learning scheme is also incorporated into our proposed algorithm,which adaptively updates the ensemble prediction model according to the performance of the model on real-time samples and the recognition results of target maneuvering segmentation points,including the adaptation of model weights;adaptation of parameters;and dynamic inclusion and removal of models.Compared with many existing time series prediction methods,the newly proposed target maneuver trajectory prediction algorithm can fully mine the prior knowledge contained in the historical data to assist the current prediction.The rationality and effectiveness of the proposed algorithm are verified by simulation on three sets of chaotic time series data sets and a set of real target maneuver trajectory data sets.

Impact point prediction guidance of ballistic missile in high maneuver penetration condition

An impact point prediction(IPP) guidance based on supervised learning is proposed to address the problem of precise guidance for the ballistic missile in high maneuver penetration condition.An accurate ballistic trajectory model is applied to generate training samples,and ablation experiments are conducted to determine the mapping relationship between the flight state and the impact point.At the same time,the impact point coordinates are decoupled to improve the prediction accuracy,and the sigmoid activation function is improved to ameliorate the prediction efficiency.Therefore,an IPP neural network model,which solves the contradiction between the accuracy and the speed of the IPP,is established.In view of the performance deviation of the divert control system,the mapping relationship between the guidance parameters and the impact deviation is analysed based on the variational principle.In addition,a fast iterative model of guidance parameters is designed for reference to the Newton iteration method,which solves the nonlinear strong coupling problem of the guidance parameter solution.Monte Carlo simulation results show that the prediction accuracy of the impact point is high,with a 3 σ prediction error of 4.5 m,and the guidance method is robust,with a 3 σ error of 7.5 m.On the STM32F407 singlechip microcomputer,a single IPP takes about 2.374 ms,and a single guidance solution takes about9.936 ms,which has a good real-time performance and a certain engineering application value.

Cooperative maneuver decision making for multi-UAV air combat based on incomplete information dynamic game

Cooperative autonomous air combat of multiple unmanned aerial vehicles(UAVs)is one of the main combat modes in future air warfare,which becomes even more complicated with highly changeable situation and uncertain information of the opponents.As such,this paper presents a cooperative decision-making method based on incomplete information dynamic game to generate maneuver strategies for multiple UAVs in air combat.Firstly,a cooperative situation assessment model is presented to measure the overall combat situation.Secondly,an incomplete information dynamic game model is proposed to model the dynamic process of air combat,and a dynamic Bayesian network is designed to infer the tactical intention of the opponent.Then a reinforcement learning framework based on multiagent deep deterministic policy gradient is established to obtain the perfect Bayes-Nash equilibrium solution of the air combat game model.Finally,a series of simulations are conducted to verify the effectiveness of the proposed method,and the simulation results show effective synergies and cooperative tactics.

Incidence,characteristics and risk factors for alveolar recruitment maneuver-related hypotension in patients undergoing laparoscopic colorectal cancer resection

BACKGROUND Alveolar recruitment maneuvers(ARMs)may lead to transient hypotension,but the clinical characteristics of this induced hypotension are poorly understood.We investigated the characteristics of ARM-related hypotension in patients who underwent laparoscopic colorectal cancer resection.AIM To investigate the characteristics of ARM-related hypotension in patients who underwent laparoscopic colorectal cancer resection.METHODS This was a secondary analysis of the PROtective Ventilation using Open Lung approach Or Not trial and included 140 subjects.An ARM was repeated every 30 min during intraoperative mechanical ventilation.The primary endpoint was ARM-related hypotension,defined as a mean arterial pressure(MAP)<60 mmHg during an ARM or within 5 min after an ARM.The risk factors for hypotension were identified.The peri-ARM changes in blood pressure were analyzed for the first three ARMs(ARM_(1,2,3))and the last ARM(ARMl_(ast)).RESULTS Thirty-four subjects(24.3%)developed ARM-related hypotension.Of all 1027 ARMs,37(3.61%)induced hypotension.More ARMs under nonpneumoperitoneum(33/349,9.46%)than under pneumoperitoneum conditions(4/678,0.59%)induced hypotension(P<0.01).The incidence of hypotension was higher at ARM_(1)points than at non-ARM_(1)points(18/135,13.3%vs 19/892,2.1%;P<0.01).The median percentage decrease in the MAP at ARM1 was 14%.Age≥74 years,blood loss≥150 mL and peak inspiratory pressure under pneumoperitoneum<24 cm H_(2)O were risk factors for ARM-related hypotension.CONCLUSION When the ARM was repeated intraoperatively,a quarter of subjects developed ARM-related hypotension,but only 3.61%of ARMs induced hypotension.ARM-related hypotension most occurred in a hemodynamically unstable state or a hypovolemic state,and in elderly subjects.Fortunately,ARMs that were performed under pneumoperitoneum conditions had less impact on blood pressure.

Assessment and Perceived Impact of Coastal Resource Management (CRM) Programs in the Southern Part of Masbate Island, Philippines

Coastal Resource Management (CRM) are activities that achieve sustainable use and management of valuable resources in coastal areas. This study presents the perceived impact of the coastal resource management (CRM) interventions implemented by the Bureau of Fisheries and Aquatic Resources (BFAR) under the FishCORAL Project in the Municipality of Milagros, Masbate. The respondents are members of fisherfolk organizations, Bantay Dagat (BD), and community members. The CRM projects include mangrove planting, the establishment of marine protected area (MPA) markers, the construction of a watchtower, and the establishment of Bantay Dagat (BD). Respondents were convinced that the interventions affected their daily living, especially mangrove planting projects. Members of fisherfolk organizations carried out the project in Barangays Jamorawon, Magsalangi, and Tagbon. In terms of knowledge, attitude, and practices (KAP), these could be attributed to the respondent’s appreciation of the intervention, which contributed to the protection of the area from flood, storm surge, and tsunami, support for livelihood, the presence of marine animals (i.e., shrimp and crabs), and apprehension of illegal fishing activities. Destructive fishing, domestic waste, and natural calamities are some identified causes of aquatic ecosystem destruction. In terms of socioeconomic, respondents are provided additional income ranging from Php 1,500.00 - 2,000.00 per month, and fish stocks have also increased. The distribution of fishnets and Banca, livelihood, protection of marine resources, and commitment of legal authorities to enforce related fishery policies are among the CRM activities with a sound impact on the community.

Situational continuity-based air combat autonomous maneuvering decision-making

In order to improve the performance of UAV's autonomous maneuvering decision-making,this paper proposes a decision-making method based on situational continuity.The algorithm in this paper designs a situation evaluation function with strong guidance,then trains the Long Short-Term Memory(LSTM)under the framework of Deep Q Network(DQN)for air combat maneuvering decision-making.Considering the continuity between adjacent situations,the method takes multiple consecutive situations as one input of the neural network.To reflect the difference between adjacent situations,the method takes the difference of situation evaluation value as the reward of reinforcement learning.In different scenarios,the algorithm proposed in this paper is compared with the algorithm based on the Fully Neural Network(FNN)and the algorithm based on statistical principles respectively.The results show that,compared with the FNN algorithm,the algorithm proposed in this paper is more accurate and forwardlooking.Compared with the algorithm based on the statistical principles,the decision-making of the algorithm proposed in this paper is more efficient and its real-time performance is better.

家具智能制造ERP/SCM/CRM管理系统集成方法研究

在定制家具企业中依靠软件进行智能化管理成为主要的管理手段,如何将各大管理系统相互融合、建立系统集成管理平台对定制家具企业的发展起到至关重要的作用。定制家具企业要实现数字化智能制造,需要的是各类信息系统的集成,其中ERP与SCM、CRM的集成显得尤为重要。分析了定制家具企业智能制造的发展现状,得出智能制造存在不完善的地方;通过对家具企业智能化管理主要软件解读,得出智能化管理平台软件集成存在问题和必要性;在此基础上,提出构建定制家具ERP与SCM、CRM集成方法,包括:建立系统功能统一标准、ERP与SCM、CRM业务流程集成、ERP与SCM、CRM集成管控;为我国智能制造的定制家具产业的发展提供新的路径。

探究电信运营商CRM系统设计与实现

在我国经济建设高速发展的背景下,电信行业所面临的市场竞争压力在不断加剧,电信企业的长远稳定发展离不开客户的支持,企业既要加强创新,又要重点增强客户对企业的信任黏性,以此谋求长远发展。以客户关系管理(customer relationship management,CRM)系统概述为切入点,重点分析了电信运营商CRM系统设计与实现,以及进一步探讨了系统的测试方法与结果。

“CRMW+标的债券”组合策略投资价值分析及思考

2010年以来,中国银行间市场交易商协会(以下简称“交易商协会”)逐步开启了中国信用衍生品——信用风险缓释工具(Credit Risk Mitigation,CRM)的探索。经过多年发展,已形成较为完备的基础产品序列和较为完善的自律管理体系,特别是在2018年创新利用信用风险缓释凭证(简称“CRMW”)支持债券发行模式(简称“CRMW+标的债券”模式),带动了CRM市场规模快速增长。

数字赋能“未来乡村”建设的路径探究——基于CRM理论

为助推金华市“未来乡村”建设,促进实现乡村振兴和共同富裕,采用文献研究、实地调研、比较分析等方法,以金华市“浙江省首批未来乡村”创建典型东阳市南马镇花园村、义乌市义亭镇缸窑村、兰溪市游埠镇洋港村为例,梳理金华市“未来乡村”建设取得的成果,进一步分析发现其存在产业整合发展力度弱、引进人才“留、育”难、农村人口老龄化问题加剧、村居环境提升遇瓶颈、文化发展载体较单一和生活数字化处于起步阶段等发展困境。在此基础上,引入CRM理论,从理念、产业、人才、环境、文化、生活方面提出数字赋能“未来乡村”建设的全方位路径。

基于CRM的障碍物碰撞风险评估软件设计与实现

基于国际民航组织文件ICAO9274对ILS碰撞风险模型(CollisionRiskModel,CRM)进行的研究分析,文中设计与开发了一个符合文件规范、标准的、不限地形与飞机机型的计算机场周边障碍物的碰撞风险评估桌面应用软件。

潜艇强机动变深规避鱼雷攻击仿真研究

潜艇利用强机动变深规避鱼雷末端攻击弹道是其规避鱼雷攻击的方法之一,也是潜艇防御鱼雷的最后措施。研究这种规避方法的可行性和有效性,可以为潜艇指挥员科学合理地操纵潜艇规避鱼雷攻击提供参考,对提高潜艇生命力和战斗力具有十分重要的理论研究意义和军事应用价值。通过对强机动规避方案基本原理及不同机动方式的效果进行理论剖析,并对潜艇和鱼雷相对运动态势进行建模仿真计算,验证了潜艇强机动变深规避鱼雷攻击的效果。仿真计算表明,在一定距离范围内,高速机动的潜艇利用高压气吹除主压载水舱的水,同时采用上浮大舵角使潜艇大尾倾高速上浮至水面来规避鱼雷末端攻击弹道,随后迅速下潜到浅水层完成规避鱼雷攻击,这种战术机动规避措施在理论上是可行的,但是该方案采用时机亦应当充分考虑分析。