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.     

废弃泥浆在盾构壁后注浆中的应用

在泥水盾构施工过程中不可避免地会产生大量的废弃泥浆,处理泥浆一是需要较高的资金投入,二是可能会对环境造成严重污染。利用废弃泥浆配制壁后注浆砂浆,利用盾构弃浆代替砂浆中的膨润土和水,研究弃浆对壁后注浆砂浆工程性能的影响。结果表明:1)相对体积质量为1.16、黏度为22 s的泥浆配制壁后注浆材料可得到较好的流动性和稠度,并且泌水率优于原配比;2)相对体积质量为1.27、黏度为24 s的泥浆会明显降低砂浆的流动度,对砂浆可泵送能力有一定的影响;3)适当调整水胶比和泥浆相对体积质量,配制壁后注浆材料各方面性能均能达到壁后注浆材料的要求;4)废弃泥浆配制砂浆是一种既经济又环保的弃浆处理回收再利用的工艺工法。     

基于灰色理论的雪山梁隧道施工过程渗漏水水源识别研究

为了解决黄龙景区雪山梁隧道开挖过程中的涌水水源识别问题,结合黄龙景区雪山梁隧道的相关施工资料,依据已有的地质资料和涌突水预测,通过水分析化学实验,采用灰色理论计算方法研究不同水系之间的关联度;而后针对单一水源和混合水源分别进行试验和分析,得出雪山梁隧道出口段内渗漏水来源最可能为大气降水,关联度较高的还有淘金沟上游水系和隧道出口处水系;最后进行比对,得出隧道渗漏水主要来源是大气降水和淘金沟上游水体的结论,并依据现场资料及实地踏勘,验证了灰色理论分析结果的可靠性。     

大型活动交通影响评价方法

大型活动吸引和产生的突增交通量会造成周边地区的交通拥挤。通过比较大型活动与大型商业建设项目的交通影响评价特点和分析大型活动交通管理的影响因素,分别针对“提供一次性服务的大型活动”和“提供长效服务的大型活动”,设计了交通需求的预测方法。以交叉口服务水平分析方法为基础,提出一种了大型活动的交通影响评价方法。以长春市南岭体育场举办的“中国足球甲A联赛”为对象,运用Vissim微观交通仿真软件对所提出的方法进行了初步验证。结果表明,在大型活动条件下,所提出的方法能够确定需要进行交通管制的空间范围。     

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.     

Effects of rosiglitazone on rabbit atherosclerosis

We sought to validate magnetic resonance imaging(MRI) for documenting the effects of rosiglitazone on rabbit atherosclerosis and the possible mechanism by treatment on the lesions.24 New Zealand white rabbits were randomly divided into normal group, control group and treatment group.After 4 weeks, all rabbits underwent MRI.After examination, the number of circulating endothelial progenitor cells(EPCs) and level of lipid, glucose, nitric oxide(NO) and superoxide anion(O-2·) were measured.MRI demonstrated the regression of atherosclerotic lesions by rosiglitazone which has good correlation with histopathology.Treatment not only increased the level of EPCs and NO, but also raised the ability of inhibition of O2-·.MRI is a promising noninvasive technology to detect the effects of therapeutic interventions.Rosiglitazone slows the progression of atherosclerosis that may in part attribute to its improvement of mobilization of EPCs and the reduced oxidative stress.     

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.