企业内部控制制度建立与完善的探讨

内部控制作为一项系统工程,已经在发达国家形成了一整套完善的有机结合的理论体系和严谨的操作方法。在我国,作为单位内部管理的重要内容也越来越受到社会各界的重视。阐述了内部控制制度的涵义与构成要素,探讨了制定我国企业内部控制制度的目标定位及内容,提出了完善我国企业内部控制制度的对策与构想。     

液压支架的自动控制及其发展前景

液压支架自动控制,对于提高综合机械化采煤工作面的自动化程度有着重要意义,是液压支架控制系统的发展方向。本文对液压支架自动控制原理和控制方式进行了论述,对在我国发展该项技术的必要性和发展前景也提出了看法。     

高等学校实验室设备管理存在的问题及对策

加强高等学校仪器设备管理是实验室建设的重要内容。本文分析了当前高校实验室仪器设备管理现状、存在的问题及原因，同时提出加强设备管理的建议，必须从思想上提高认识，转变观念，树立“购置设备重要，管理设备更重要”的思想意识。     

微处理机应用系统容错设计之实例分析——温控仪容错设计

在微处理机应用系统容错设计理论的基础上,采用了过程通道、 Ｒ Ａ Ｍ 的备用容错以及系统恢复和重入技术,对温控仪容错进行了设计．     

关系数据库并发控制机制研究

随着数据处理和信息提取成为现今计算环境的焦点,在现实应用中如何实现数据库并发控制出现了许多问题需要解决。基于此现状,文中以并发控制在目前主流关系数据库Oracle中的应用为例,对关系数据库的并发控制的实现进行了讨论和研究,初步分析了并发控制中存在的问题和解决方案。     

Low-Cost Potentiometric Sensor for Chloride Measurement in Continuous Industrial Process Control

Recently, the new updates in legislation about drinking water control and human health have increased the demand for novel electrochemical low-cost sensors, such as potentiometric ones. Nowadays, the determination of chloride ion in aqueous solutions has attracted great attention in several fields, from industrial processes to drinking water control. Indeed, chloride plays a crucial role in corrosion, also influencing the final taste of beverages, especially coffee. The main goal is to obtain devices suitable for continuous and real-time analysis. For these reasons, we investigated the possibility to develop an easy, low-cost potentiometric chloride sensor, able to perform analysis in aqueous mediums for long immersion time and reducing the need of periodic calibration. We realized a chloride ion selective electrode made of Ag/AgCl sintered pellet and we tested its response in model solutions compatible with drinking water. The sensor was able to produce a stable, reproducible, and accurate quantification of chloride in 900 s, without the need for a preliminary calibration test. This opens the route to potential applications of this sensor in continuous, in situ, and real time measurement of chloride ions in industrial processes, with a reduced need for periodic maintenance.     

Space-Air-Ground Integrated Mobile Crowdsensing for Partially Observable Data Collection by Multi-Scale Convolutional Graph Reinforcement Learning

Mobile crowdsensing (MCS) is attracting considerable attention in the past few years as a new paradigm for large-scale information sensing. Unmanned aerial vehicles (UAVs) have played a significant role in MCS tasks and served as crucial nodes in the newly-proposed space-air-ground integrated network (SAGIN). In this paper, we incorporate SAGIN into MCS task and present a Space-Air-Ground integrated Mobile CrowdSensing (SAG-MCS) problem. Based on multi-source observations from embedded sensors and satellites, an aerial UAV swarm is required to carry out energy-efficient data collection and recharging tasks. Up to date, few studies have explored such multi-task MCS problem with the cooperation of UAV swarm and satellites. To address this multi-agent problem, we propose a novel deep reinforcement learning (DRL) based method called Multi-Scale Soft Deep Recurrent Graph Network (ms-SDRGN). Our ms-SDRGN approach incorporates a multi-scale convolutional encoder to process multi-source raw observations for better feature exploitation. We also use a graph attention mechanism to model inter-UAV communications and aggregate extra neighboring information, and utilize a gated recurrent unit for long-term performance. In addition, a stochastic policy can be learned through a maximum-entropy method with an adjustable temperature parameter. Specifically, we design a heuristic reward function to encourage the agents to achieve global cooperation under partial observability. We train the model to convergence and conduct a series of case studies. Evaluation results show statistical significance and that ms-SDRGN outperforms three state-of-the-art DRL baselines in SAG-MCS. Compared with the best-performing baseline, ms-SDRGN improves 29.0% reward and 3.8% CFE score. We also investigate the scalability and robustness of ms-SDRGN towards DRL environments with diverse observation scales or demanding communication conditions.     

次级源和误差传感器布放对带弹性障板的充液直管声振复合有源控制的影响*

针对充液管路系统噪声有源控制问题,研究了次级源和误差传感器布放对带弹性障板的充液直管管路系统有源消声与有源消振复合控制效果的影响。基于声固耦合方法建立了带弹性障板的充液直管管路系统的有限元模型,在声激励下对比了次级声源布放对系统有源消声性能的影响,并在组合激励下分析了次级力源、次级声源和误差传感器布放对系统复合有源控制的影响。结果表明,非对称分布的次级声源容易激起管壁振动,进而带动障板振动,导致有源消声效果不佳;采用对称分布的次级声源可使低频段的降噪量提高10 dB以上。复合有源控制可进一步提升全频段的控制效果。通过增加振动误差传感器数量,可使绝大多数频点的降噪量提高1~20 dB不等。此外,在管壁上布放的两圈次级力源的间距小于管壁振动波长的1/4,且都不位于管壁振动节点附近时控制效果更好。     

专业图书馆图书采访质量控制探索

介绍了全面质量管理的概念,对专业图书馆图书采访中如何施行全面质量管理进行了探讨。     

消耗公共资源的谋利行为博弈的过度行为均衡点问题研究

在建立了弱再生资源的再生速度模型和谋利行为对资源的消耗模型的基础上,得出了在谋利行为下的弱再生公共资源的均衡曲线与均衡模型.利用此模型分析了个人非理性、个人理性的不同均衡点,研究了这些均衡点之间的关系.