枝晶凝固过程中的溶质浓度分布模拟

采用元胞自动机方法(cellular automation)对单个枝晶凝固过程中的显微偏析和枝晶形貌进行了模拟，在模拟的过程中，对固相和液相中的溶质传输分别进行了计算，同时考虑到凝固过程中同相分数的变化对溶质传输的影响与文献中通常采用的浓度势方法的计算结果进行对比，模拟结果显示本文使用的计算方法模拟显微偏析过程中波动小、结果更为稳定。     

IC-6高温合金及其防护性涂层的摩擦特性

采用电弧离子镀技术在IC－高温合金上沉积NiCrAlY涂层。研究了NiCrAlY涂层及IC－6高温合金在室温和600℃空气中无润滑状态下，以K17高温合金为摩擦副的摩擦特性。采用带有能谱的扫描电镜（SEM／EDX）分析IC－6高温合金和NiCrAlY涂层磨损表面的形貌和成分。实验结果表明，室温条件下摩擦时，一些碎屑从K17合金上脱落下来，在IC－6合金及NiCrAlY涂层表面上形成磨粒，随着摩擦时间延长，磨损表面元素发生氧化。试样在环境温度在600℃摩擦时，NiCrAlY涂层的表面比较快的形成氧化膜，减少金属－金属间的直接接触。环境温度升高后，摩擦表面温度也随之升高，氧化物的粘滞性增强，600℃时，合金和涂层摩擦系数都有不同程度的减小。     

耐候钢表面锈层稳定化处理用新型涂层研究

针对耐候钢裸露使用时出现的锈层稳定化时间过长及早期锈液流挂和飞散的问题，提出了Zn—Ca系磷化 丙烯酸树脂—SiO2复合膜新型耐候钢表面锈层稳定化处理技术．采用干湿周浸实验研究了该复合膜耐候钢试样的腐蚀行为和耐大气腐蚀性能．得出了能有效避免锈液流挂、促进耐候钢表面锈层稳定化的最佳复合膜处理工艺，即Zn—Ca磷化 B—13Si(120℃)复合膜处理．并从理论上探讨了该复合膜提高耐候钢抗大气腐蚀性能、促进表面锈层稳定化的作用机理和模型。     

深颈压力机进给系统的数控化研究与应用

分析了普通深颈压力机在生产实际应用中存在的问题，提出数控化改造方案。较详细地分析了数控化改造的基本原理和方法，成功地应用国产数控系统和德国百格拉公司三相混合式步进电机及驱动器对国产深颈压力机进行数控化改造，在生产实际应用中得到充分的证明和肯定。     

基于十瓶保龄球的断言优化

在软件需求增加和规模增大,却又要能做出及时交付给用户并且让用户满意的软件的时期,传统的软件工程方法显得有些力不从心,且已经遭到人们的质疑,而最近兴起的一种软件开发过程相关的技术,提供一些比较高效、实用的软件过程开发方法,这就是敏捷软件开发方法。测试驱动开发TDD(Test-Driven Development)是极限编程过程(一种敏捷开发)的重要特征,其对控制软件开发进度和开发质量有非常重要的作用。它的基本思想就是在开发前根据对将要开发的程序的要求,先写好所有测试代码,并且在开发过程中不时地通过运行测试代码来获得所开发的代码与所要求的结果之间的差距。这些活动的进行很大程度上依赖着程序的断言代码。因此断言代码的全面性及完整性深深地影响着一个程序的开发进度和质量。     

蜕变测试和断言检查的比较与实验研究

在软件测试中,测试预言是一种用于检查程序在测试中是否正常运行的机制.然而在某些实际情况下,还无法制定测试预言或者难以有效地应用测试预言.针对此类测试预言问题,蜕变测试于近年应运而生,但蜕变测试的效率问题还没有被充分地加以研究.作者用控制实验的方法研究了使用蜕变测试的成本及效率,进而将蜕变测试和常用的断言检查两种方法的错误检测率和时间成本进行了比较和分析.实验结果表明,相比于断言检查方法,蜕变测试具有检测到更多错误的潜力.通过分析蜕变测试的效率和性能,与断言测试相比,蜕变测试的错误检测率更高效而效率有待提高,可适用于较为粗粒度的测试需求.     

Picture-Neutrosophic Trusted Safe Semi-Supervised Fuzzy Clustering for Noisy Data

Clustering is a crucial method for deciphering data structure and producing new information. Due to its significance in revealing fundamental connections between the human brain and events, it is essential to utilize clustering for cognitive research. Dealing with noisy data caused by inaccurate synthesis from several sources or misleading data production processes is one of the most intriguing clustering difficulties. Noisy data can lead to incorrect object recognition and inference. This research aims to innovate a novel clustering approach, named Picture-Neutrosophic Trusted Safe Semi-Supervised Fuzzy Clustering (PNTS3FCM), to solve the clustering problem with noisy data using neutral and refusal degrees in the definition of Picture Fuzzy Set (PFS) and Neutrosophic Set (NS). Our contribution is to propose a new optimization model with four essential components: clustering, outlier removal, safe semi-supervised fuzzy clustering and partitioning with labeled and unlabeled data. The effectiveness and flexibility of the proposed technique are estimated and compared with the state-of-art methods, standard Picture fuzzy clustering (FC-PFS) and Confidence-weighted safe semi-supervised clustering (CS3FCM) on benchmark UCI datasets. The experimental results show that our method is better at least 10/15 datasets than the compared methods in terms of clustering quality and computational time.     

Stock-Price Forecasting Based on XGBoost and LSTM

Using time-series data analysis for stock-price forecasting (SPF) is complex and challenging because many factors can influence stock prices (e.g., inflation, seasonality, economic policy, societal behaviors). Such factors can be analyzed over time for SPF. Machine learning and deep learning have been shown to obtain better forecasts of stock prices than traditional approaches. This study, therefore, proposed a method to enhance the performance of an SPF system based on advanced machine learning and deep learning approaches. First, we applied extreme gradient boosting as a feature-selection technique to extract important features from high-dimensional time-series data and remove redundant features. Then, we fed selected features into a deep long short-term memory (LSTM) network to forecast stock prices. The deep LSTM network was used to reflect the temporal nature of the input time series and fully exploit future contextual information. The complex structure enables this network to capture more stochasticity within the stock price. The method does not change when applied to stock data or Forex data. Experimental results based on a Forex dataset covering 2008–2018 showed that our approach outperformed the baseline autoregressive integrated moving average approach with regard to mean absolute error, mean squared error, and root-mean-square error.     

Intelligent wavelet fuzzy brain emotional controller using dual function-link network for uncertain nonlinear control systems

This study aims to propose a more efficient hybrid algorithm to achieve favorable control performance for uncertain nonlinear systems. The proposed algorithm comprises a dual function-link network-based multilayer wavelet fuzzy brain emotional controller and a sign(.) functional compensator. The proposed algorithm estimates the judgment and emotion of a brain that includes two fuzzy inference systems for the amygdala network and the prefrontal cortex network via using a dual-function-link network and three sub-structures. Three sub-structures are a dual-function-link network, an amygdala network, and a prefrontal cortex network. Particularly, the dual-function-link network is used to adjust the amygdala and orbitofrontal weights separately so that the proposed algorithm can efficiently reduce the tracking error, follow the reference signal well, and achieve good performance. A Lyapunov stability function is used to determine the adaptive laws, which are used to efficiently tune the system parameters online. Simulation and experimental studies for an antilock braking system and a magnetic levitation system are presented to verify the effectiveness and advantage of the proposed algorithm.

     

推进绿色制造 建设生态文明——中国绿色制造战略研究

我国正处于制造大国迈向制造强国的重要历史阶段,在绿色发展理念的指导下,如何推进制造业与生态环境的协调发展,促进工业文明与生态文明和谐共生,是当前亟待解决的现实问题。绿色制造是制造强国建设的必有之意,是生产方式转变的重要着力点,更是绿色发展的重要组成部分,涵盖了低碳发展和循环发展的全部内容。本文在明晰绿色制造与生态文明建设关系的基础上,深入阐述了绿色制造的科学内涵、目标和评价体系,基于我国绿色制造已取得的成绩和现实发展困境,提出了推进我国绿色制造的战略方向,最后从顶层设计、队伍建设、创新体系、服务平台、体制机制及国际合作等方面给出了政策建议。