Integrated approach to an optimal automotive timing chain system design

Ensuring engine efficiency is a crucial issue for automotive manufacturers. Several manufacturers focus on reducing the time taken to develop and introduce brand new vehicles to the market. Thus, a synergic approach including various simulations is generally adopted to achieve a development schedule and to reduce the cost of physical tests. This study involved proposing a design process that is very useful in the preliminary development stage through effective support from simulations. This type of simulation-based design process is effective in developing timing chain drives; the use of this process, based on results from multiple trials, showed improvements in performance including low friction and vibration, improved durability, and cost-effective part design when compared to conventional processes. This study proposes an integrated approach to the preliminary design of an automotive timing chain system. The approach involves structural and dynamic analyses. The details of the design process are described by using the case of a virtual engine. This study conducted and summarized a dynamic and structural analysis as well as topological optimization to describe a process to obtain optimal results. The results of this study indicated the following improvements in overall performance factors: 12.1 % improvement in transmission error, 10.1 % reduction in chain tension, 46 % reduction in tensioner arm weight, and 11 % reduction in transversal displacement.     

Approximate optimal AUTOSAR software components deploying approach for automotive E/E system

The AUTOSAR has been developed as the worldwide standard for automotive E/E software systems, making the electronic components of different suppliers to be employed universally. However, as the number of component-based applications in modern automotive embedded systems grows rapidly and the hardware topology becomes increasingly complex, deploying such large number of components in automotive distributed system in manual way is over-dependent on experience of engineers which in turn is time consuming. Furthermore, the resource limitation and scheduling analysis make the problems more complex for developers to find out an approximate optimal deploying approach in system integration. In this paper, we propose a novel method to deploy the AUTOSAR components onto ECUs with the following features. First, a clustering algorithm is designed for deploying components automatically within relatively low time complexity. Second, a fitness function is designed to balance the ECUs load. The goal of our approach is to minimize the communication cost over all the runnable entities while meeting all corresponding timing constraints and balancing all the ECUs load. The experiment results show that our approach is efficient and has well performance by comparing with other existing methods in specific and synthetic data set.     

Modeling research on manufacturing execution system based on large-scale system cybernetics

A cybernetics model of manufacturing execution system(MES CM) was proposed and studied from the viewpoint of cybernetics.Combining with the features of manufacturing system, the MES CM was modeled by"generalized modeling"method that is discussed in large-scale system theory.The mathematical model of MES CM was constructed by the generalized operator model, and the main characteristics of MES CM were analyzed.     

A data model applied to the knowledge-based ICAS

Image-guided computer aided surgery system (ICAS) contributes to safeness and success of surgery operations by means of displaying anatomical structures and showing correlative information to surgeons in the process of operation. Based on analysis of requirements for ICAS, a new concept of clinical knowledge-based ICAS was proposed. Designing a reasonable data structure model is essential for realizing this new concept. The traditional data structure is limited in expressing and reusing the clinical knowledge such as locating an anatomical object, topological relations of anatomical objects and correlative clinical attributes. A data structure model called mixed adjacency lists by octree-path-chain (MALOC) was outlined, which can combine patient's images with clinical knowledge, as well as efficiently locate the instrument and search the objects' information. The efficiency of data structures was analyzed and experimental results were given in comparison to other traditional data structures. The result of the nasal surgery experiment proves that MALOC is a proper model for clinical knowledge-based ICAS that has advantages in not only locating the operative instrument precisely but also proving surgeons with real-time operation-correlative information. It is shown that the clinical knowledge-based ICAS with MALOC model has advantages in terms of safety and success of surgical operations, and help in accurately locating the operative instrument and providing operation-correlative knowledge and information to surgeons in the process of operations.     

Analysis and improvement of authenticatable ring signcryption scheme

We show that the Zhang-Yang-Zhu-Zhang identity-based authenticatable ring signcryption scheme is not secure against chosen plaintext attacks.Furthermore, we propose an improved scheme that remedies the weakness of the Zhang-Yang-Zhu-Zhang scheme.The improved scheme has shorter ciphertext size than the Zhang-Yang-Zhu-Zhang scheme.We then prove that the improved scheme satisfies confidentiality, unforgeability, anonymity and authenticatability.     

Power network parameter estimation method based on data mining technology

The parameter values which actually change with the circumstances, weather and load level etc.produce great effect to the result of state estimation. A new parameter estimation method based on data mining technology was proposed. The clustering method was used to classify the historical data in supervisory control and data acquisition (SCADA) database as several types. The data processing technology was impliedto treat the isolated point, missing data and yawp data in samples for classified groups. The measurement data which belong to each classification were introduced to the linear regression equation in order to gain the regression coefficient and actual parameters by the least square method. A practical system demonstrates the high correctness, reliability and strong practicability of the proposed method.     

降钙素基因相关肽与内皮素受体A在兔实验性蛛网膜下腔出血后基底动脉的表达

目的探讨蛛网膜下腔出血(SAH)后脑血管内皮细胞降钙素基因相关肽(CGRP)及内皮素受体A(ETRA)的表达与迟发性脑血管痉挛(DCVS)之间的关系。方法日本大耳白家兔60只,随机分为SAH模型组25只,盐水组25只,穿刺组5只,正常组5只。采用枕大池二次注血法制作SAH模型,灌注处死后取基底动脉制成切片。进行CGRP及ETRA的免疫组化和HE染色,观察CGRP与ETRA的免疫表达和病理结构变化,并用图像分析方法测量血管周长,使用方差分析进行统计学检验。结果基底动脉周长在SAH后均发生明显缩窄,其中在5d时缩小最强烈。CGRP与ETRA免疫阳性标记颗粒在SAH组的基底动脉组织中均有表达,其动态变化规律为CGRP的表达在1h时最明显,在3、5d依次表达减少,5d达到最低点,7d后开始逐渐升高,10d时表达相对比较明显,但未能达到正常水平,CGRP在穿刺组、正常对照组和盐水组也有散在不规则表达。在正常组、穿刺组和盐水组的基底动脉内ETRA有表达;SAH组基底动脉内ETRA在3d组和5d组表现为高表达,以3d组为强,而其中血管内皮细胞表达最强烈,平滑肌也有表达,10d组的表达仍然较强。结论在SAH后脑血管内皮细胞CGRP和ETRA的表达呈现明显的动态改变,但二者的变化趋势并不同步;CGRP和ETRA在DCVS的发生发展中起重要的作用。     

一种改进型真空直流限流断路器研究

分析了强迫关断型真空直流断路器的工作原理,采用在真空灭弧室两端反并续流二极管的方法,推迟了真空灭弧室电流过零后两端反向电压出现的时间,提高了真空灭弧室电流的过零关断的可靠性。对该直流限流断路器系统进行理论分析仿真,最后进行实验,实验结果与理论分析一致,说明该限流断路器方案准确、可行。     

取样剪切对管输原油流变性的影响

通过实验及理论分析,系统研究了取样剪切对管输原油流变性的影响,根据鲁宁线运行工况,计算了阀门节流剪切及过泵剪切时剪切率的大小.对于鲁宁线,在同一泵站,出站处阀门节流平均剪切率是过泵平均剪切率的3倍左右.