A fuzzy hierarchical reinforcement learning based scheduling method for semiconductor wafer manufacturing systems

Scheduling semiconductor wafer manufacturing systems has been viewed as one of the most challenging optimization problems owing to the complicated constraints, and dynamic system environment. This paper proposes a fuzzy hierarchical reinforcement learning (FHRL) approach to schedule a SWFS, which controls the cycle time (CT) of each wafer lot to improve on-time delivery by adjusting the priority of each wafer lot. To cope with the layer correlation and wafer correlation of CT due to the re-entrant process constraint, a hierarchical model is presented with a recurrent reinforcement learning (RL) unit in each layer to control the corresponding sub-CT of each integrated circuit layer. In each RL unit, a fuzzy reward calculator is designed to reduce the impact of uncertainty of expected finishing time caused by the rematching of a lot to a delivery batch. The results demonstrate that the mean deviation (MD) between the actual and expected completion time of wafer lots under the scheduling of the FHRL approach is only about 30 % of the compared methods in the whole SWFS.     

网络虚拟服务器安全性对策研究方案

针对目前虚拟服务器的安全问题进行研究。设计了一种新的Web虚拟服务器应用安全的解决方案,在代码一级对其攻击进行检测和防护。即一方面,确定代码位置,利用特定的API调用在其前后对用户输入相关的参数进行判断是否含有可能的攻击存在并进行相应的处理;另一方面在应用源代码或中间代码文件中插入本方案的检测代码,以实现防护的功能。     

校园网络立体化数据存储方案的研究与设计

本文针对校园网络数据存储方式单一、成本高、实用性不高的问题,设计了一个实用、可操作性的立体化数据存储方案。该方案发挥raid、虚拟存储和数据容灾三种存储技术各自的优势,将这三种存储技术有机的融合,构建了三个存储层,物理存储层、虚拟存储层、数据容灾备份层,每个层又采取两种不同的存储方式,在实用、低廉的基础上实现数据的安全冗余和立体化备份,从而确保校园应用数据的安全性和可用性。     

基于虚拟仪器的汽车变速器计算机测控系统的设计

本文介绍了汽车自动变速器检测实验台的测控系统硬件组成,并采用Labview开发出测控系统的软件。可对汽车自动变速器综合性能与液压控制阀体进行测试操作和性能分析,实现检测对象测控的自动化。     

中医正骨复位手法信息采集系统的设计

研究中医正骨复位手法,建立虚拟信息系统,但是由于手法的使用形式繁多,实施操作方法经验性强,对操作的技巧性和力度大小要求非常高等原因,使得正骨技术在临床中的应用不易推广,影响着中医正骨复位手法的的继承和发扬。针对上述原因,提出构建虚拟正骨手法复位信息采集系统,通过LabVIEW软件、角度传感器,信息采集卡等硬件设施有机的结合,把抽象的中医骨伤手法复位操作技术用角度、位移参数值具体、直观的表示出来,并以波形图表的形式显示。为初学者认识和学习正骨手法提供了生动形象的教材,改进了传统的教学模式、教学手段和教学方法,进一步促进虚拟技术在中医正骨中的应用。     

基于LabVIEW的航空火警控制盒测试设备

航空火警控制盒测试设备是一套主要用于火警控制盒、火警探测器、主告警控制盒、告警控制盒等的校验、故障诊断的设备。介绍了一种基于LabVIEW的航空火警控制盒测试设备的方法,利用PC机中的LabVIEW图形化编程软件采用随机数读取并且显示,再对信号进行分析,对超限信号起到报警功能。     

基于LabVIEW的高温超导脉冲功率状态监控系统

脉冲功率数据采集系统是确保脉冲功率系统稳定安全运行的关键之一,超导脉冲功率系统由超导储能系统和外部放电电路组成。本文设计了基于LabVIEW的超导脉冲功率状态监控系统,该系统由多路传感器、信号调理电路和高精度数据采集系统构成,实现了对超导脉冲功率系统各个数据的精确采集,并利用虚拟仪器强大的数据处理能力,实现了对超导脉冲功率系统运行状态的准确判断,实验结果表明设计的状态监控系统能够有效地监控高温超导脉冲功率系统的运行状态。     

Learning experiences from digital laboratory safety training

We present a digital laboratory safety training platform called AALTOLAB which we have developed to address the need for more flexible and engaging ways to teach laboratory safety for chemical engineers. AALTOLAB consists of an interactive, web-based 360° virtual laboratory, integrated with a Moodle-based digital exam with automatic assessment. The modular platform offers different modules from general comprehensive laboratory training to more specialised modules. Students and staff can freely navigate in the laboratory rooms at any time and interact with different action points including interactive videos, slideshows, and minigames. Our technical solution allows teachers even with limited technological skills to easily modify the training materials in real time. The relationship of students’ learning experiences and level of learning is also discussed. We believe that our safety training concept facilitates deep learning and students’ engagement, thus improving safety culture in our laboratories.     

Assessment of Manufacturing Operational Complexity

The manufacturing system must balance human characteristics, needs, skills and capabilities within the technical and business environment, in order to be effective and successful. A Systems Analysis and Design approach was utilized to integrate manufacturing technologies with the capabilities of human workers, in order to augment the performance of both. A framework was created on which to build systems analysis tools that focus on realistic factors within the manufacturing environment, such as information quantity, diversity and content; complexity (product, process and operational); task effort, and so forth. A matrix methodology and an objective measure of complexity have been developed that assess the three levels of manufacturing complexity: product complexity, process complexity and operational complexity. The focus of this paper is the ‘operational complexity’ and it provides insight into the system performance and sensitivities when considering human characteristics.     

A demerit-fuzzy rating system,monitoring scheme and classification for manufacturing processes

For monitoring online manufacturing processes, the proportion of weights imposed on each type of product’s defects (nonconformities or demerits) has a profoundly effective impact on control charts’ performance. Apparently, the demerit-chart approach is superior than the widely-used c-chart scheme, because it allows us to place relative precise weights (real numbers) on defects according to their distinctly inferior degrees affecting the product quality so that the abnormal variations of processes can be literally exposed. However, in many applications, the seriousness of defects is evaluated partially or entirely by the inspectors’ perceptive judgement or knowledge, so with the precise-weight assignment, the demerit rating mechanism is considered to be somewhat constrained and subjective which inevitably leads to the targeted manufacturing process with limited and possibly biased information for online surveillance. To cope with the drawback, a demerit-fuzzy rating system and monitoring scheme is proposed in this paper. We first incorporate fuzzy weights (fuzzy numbers) to properly reflect the severity measures of defects which are categorized linguistically. Then, based on properties of fuzzy set theory and proposed approaches for fuzzy-number ranking, we develop the demerit-fuzzy charting scheme which is capable of discriminating process conditions into multi-intermittent statuses between in-control and out-of-control. This approach improves the traditional process control techniques with the binary-classification restraint for the process conditions. Finally, the proposed demerit-fuzzy rating system, monitoring scheme, and classification is elucidated by an application in garment industry to monitor textile-stitching nonconformities conditions.