Modeling of additive manufacturing process relevant feature in layer based manufacturing process planning

Compared with general machining processes, additive manufacturing (AM) process has stabler planning route and limited process variables and this makes it to be more easily designed and planned with knowledge based systems and computer aided techniques. Case based reasoning approach is applied to the process planning of additive manufacturing in this paper. The concept of “AM process relevant design features” is proposed after the analysis of the characteristics of AM processes. The concept is used as the basis of the knowledge representation, and AM relevant feature graph is used as the case representation schema. The case retrieval method is discussed based on this graph. The case representation of a machine arm is given to illustrate the brief process of the proposed approach.     

状态监测在设备维修中的应用

阐述了对工程机械运转过程中的状态监测。论述了从传统的“强制保养 ,计划修理”转变到用现代化仪表和微机对其监测 ,从而达到对工程机械故障的预测分析     

A bayesian based process monitoring and fixture fault diagnosis approach in the auto body assembly process

The auto body process monitoring and the root cause diagnosis based on data-driven approaches are vital ways to improve the dimension quality of sheet metal assemblies. However, during the launch time of the process mass production with an off-line measurement strategy, the traditional statistical methods are difficult to perform process control effectively. Based on the powerful abilities in information fusion, a systematic Bayesian based quality control approach is presented to solve the quality problems in condition of incomplete dataset. For the process monitoring, a Bayesian estimation method is used to give out-of-control signals in the process. With the abnormal evidence, the Bayesian network (BN) approach is employed to identify the fixture root causes. A novel BN structure and the conditional probability training methods based on process knowledge representation are proposed to obtain the diagnostic model. Furthermore, based on the diagnostic performance analysis, a case study is used to evaluate the effectiveness of the proposed approach. Results show that the Bayesian based method has a better diagnostic performance for multi-fault cases.     

Region of interest based selective encryption scheme for privacy protection in H.264 video

A selective encryption scheme for region of interest （ROI） of H.264 video is proposed to protect the personal privacy in a video. The most important part of video can be protected with less cost and operation by only encrypting the content of ROIs. Human face regions are selected as ROI and detected by using Gaussian skin color model. Independent ROI encoding is realized with the mechanism of flexible macro-block ordering （FMO）. Frames are divided into grid-like slice-groups which can be combined flexibly to form a required ROI. Both luminance component and chrominance component of the macro-blocks in ROI are modified to achieve good encryption quality and location accuracy. In the process of decryption, the encrypted area is located automatically. There is no need to transmit additional position information of ROIs to the end of decryption. The encrypted video is decrypted correctly with the secret key. JM18.4 software is employed to perform the simulation experiment. Experimental results show the accuracy and effectiveness of our scheme to encrypt and decrypt the ROIs in H.264 video.     

中国将成为世界的客车制造中心--未来5～10年我国客车行业的发展形势分析

在整个汽车行业,客车受关注的程度远远落后于轿车和卡车,但在旅客运输领域,客车的风头却盖过了火车和飞机,有数据为证:2004年公路、铁路、民航的旅客运输量之比是134∶9∶1,旅客运输周转量之比是5∶3∶1,客车在旅客运输领域的优势地位十分明显。因此,我们认为,未来5～10年市场对客车的需求依然会不断扩大。     

浅谈如何建立有效的国有企业领导干部监督和约束机制

国有企业在国民经济发展中举足轻重,加强对国有企业领导干部的监督和制约,为企业的改革和发展提供坚强的政治保证,确保国有资本保值增值,已成为当前预防和惩治腐败和促进经济发展的一个重要课题.为此,本人对这一问题谈谈粗浅的看法.     

基于QoS升降级的无线单播多播混合带宽资源分配方法

在单播与多播混合服务的OFDM蜂窝系统中,因负载较重而使带宽资源被完全占用时,为接纳更多的多播用户,在单播多媒体用户可接受的范围内提出：基于信道容量平滑的QoS升降级带宽借用方法.通过建立QoS升降级的子载波借用模型和CUpDown-QoS算法,达到最大化多播用户数和减小多播切换呼叫中断率;提出了GoS保证下,限制新呼叫的动态带宽借用阈值,给出基于Markov模型的CBP（Call Blocking Probability）与HDP（Handoff Dropping Probability）最优折中的阈值确定方法,以及多播优先的动态带宽借用策略对阈值确定的影响.     

Research on network maintenance strategy selection based on analytic hierarchy process and technique for order preference by similarity to ideal solution algorithm

Network maintenance strategy selection is a multi-objective decision making topic. It mostly depends on the uncertainty and fuzziness of decision makers and conditions. In this paper, based on analytic hierarchy process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS), TOPSIS partial order method is proposed to choose the optimal maintenance strategy. This method uses AHP to determine the weights of evaluation indexes. The optimal maintenance strategy choice is given as an example to demonstrate the effectiveness of the method.     

小箱梁桥荷载试验校验系数影响因素研究

校验系数是桥梁荷载试验评价桥梁结构状态的重要指标,对影响小箱梁桥荷载试验校验系数的因素进行了分析和归类,并以一座单跨30 m的小箱梁桥作为算例,定量分析了计算模式及计算参数对最终校验系数的影响。根据分析结果,计算模式对于小箱梁桥校验系数有显著影响,建议在给出荷载试验校验系数常值时,对计算校验系数中的理论效应的计算模式进行规定。     

Method of estimating human error probabilities in construction for structural reliability analysis based on analytic hierarchy process and failure likelihood index method

Partial safety factors must be evaluated precisely for the given target reliability index to ensure the certain level of structural reliability due to uncertain factors. The current studies of partial safety factors do not consider human error in construction for structural reliability. A mathematically model should be improved to simulate the partial safety coefficient concerned uncertainty factors which concern the effect of human error in construction. We employ the contaminated distribution to obtain the realistic mean value and standard variance of variable of structural parameters which coexist with random error human error. The reasonable partial safety coefficient can be calculated based on the realistic value of structural parameters concerned the effects of random error and gross error.     

基于显示性偏好数据的航运承运人应对全球限硫令的选择偏好研究

建立了一个基于显示性偏好数据的航运承运人减排方案决策建模框架,从实证角度研究了承运人的实际减硫方案选择机制;基于AIS数据和其他相关数据库,采用数据挖掘方法与计量经济模型,综合考虑船舶特征、承运人特征和外部市场情况等方面共11个因素,克服了已有文献关注经济因素、忽视非经济因素的局限,系统分析了限硫令下承运人的应对措施选择。研究结果表明：11个因素均有助于解释承运人的能源选择,但其影响程度各不相同;各因素的修正效应量排序依次为距离新规实行的年限(3.957)、载重吨位(2.270)、船龄(1.711)、公司规模(1.579)、每吨燃料价差(1.456)、运价指数(1.442)、环保意识指数(1.353)、航速(1.243)、航程(1.172)、排放控制区航行占比(1.127)、贸易路线固定程度(1.108);对于承运人的能源方案选择,距离新规实行的年限和载重吨位对承运人决策产生了非常重要的影响,修正效应量均大于2.0;船龄、公司规模、每吨燃料价差、运价指数和环保意识指数5个因素对于决策的影响程度适中,修正效应量为1.3~1.8;其余4个与承运人运营模式相关因素虽然对于决策有一定影响,但影响程度较小,其修正效应量均小于1.3。     

论层次分析法在长江干线国际集装箱港口合理布局中的应用

针对具有发展潜力的国际集装箱运输在长江干线航运发展中存在的问题 ,应用系统工程理论和方法中的层次分析法 (AHP) ,详尽论证了长江干线国际集装箱港口合理布局的影响因素和布局模式 ,并结合实际进行了剖析 ,对指导长江干线集装箱港口建设具有一定的参考价值     

基于泊松分布的微观交通仿真断面发车数学模型研究

论在分析了交通流概率分布规律的基础上，提出一种适用于微观交通仿真的基于泊松分布的断面发车模型。并根据实际测量情况，定义泊松分布的参数入、α的概率含义，再将含有车辆数、时间、概率三个变量的泊松分布得出在微观交通仿真中使用的发车模型，并给出计算机实现的算法。