An architecture modeling framework for probabilistic prediction

In the design phase of business and IT system development, it is desirable to predict the properties of the system-to-be. A number of formalisms to assess qualities such as performance, reliability and security have therefore previously been proposed. However, existing prediction systems do not allow the modeler to express uncertainty with respect to the design of the considered system. Yet, in contemporary business, the high rate of change in the environment leads to uncertainties about present and future characteristics of the system, so significant that ignoring them becomes problematic. In this paper, we propose a formalism, the Predictive, Probabilistic Architecture Modeling Framework (P²AMF), capable of advanced and probabilistically sound reasoning about business and IT architecture models, given in the form of Unified Modeling Language class and object diagrams. The proposed formalism is based on the Object Constraint Language (OCL). To OCL, P²AMF adds a probabilistic inference mechanism. The paper introduces P²AMF, describes its use for system property prediction and assessment and proposes an algorithm for probabilistic inference.     

A method for predicting the probability of business network profitability

In the design phase of business collaboration, it is desirable to be able to predict the profitability of the business-to-be. Therefore, techniques to assess qualities such as costs, revenues, risks, and profitability have been previously proposed. However, they do not allow the modeler to properly manage uncertainty with respect to the design of the considered business collaboration. In many real collaboration projects today, uncertainty regarding the business’ present or future characteristics is so significant that ignoring it becomes problematic. In this paper, we propose an approach based on the predictive, probabilistic architecture modeling framework (P²AMF), capable of advanced and probabilistically sound reasoning about profitability risks. The P²AMF-based approach for profitability risk prediction is also based on the e³-value modeling language and on the object constraint language. The paper introduces the prediction and modeling approach, and a supporting software tool. The use of the approach is illustrated by means of a case study originated from the Stockholm Royal Seaport smart city project.     

The effect of solution variables on the solution of cellulose in dimethyl sulfoxide

Through the study of the effects of concentration, temperature, and molar ration (of paraformaldehyde to cellulose) on solution viscosity and per cent transmittance (at 530 nm), it has been demonstrated that cellulose solutions in dimethyl sulfoxide (DMSO) are readily produced. By heating 1, 2, and 50 to 100 parts by weight of cellulose, paraformaldehyde, and DMSO, respectively, extremely viscose cellulose solutions and gels were prepared. Solutions with concentrations as high as 10% were prepared. However, the optimum conditions to effect complete cellulose solution in DMSO at 75°C were found to be 0.5% cellulose and 0.8 and 1.0% paraformaldehyde. This corresponds to a paraformaldehyde-to-cellulose molar ratio of about 10:1.     

Applications of laser Raman microprobe spectroscopy to the characterization of coals and cokes

Optical microscopy is widely used in the characterization of coals and cokes. This Paper shows that the laser Raman microprobe (MOLE) which combines an optical microscope and a Raman spectrometer can provide useful additional information. Three main areas were investigated: identification of minerals in coal and coke; structural characterization of coals and cokes; and the interaction of inorganic additives and coal. Where possible, the results were compared with conventional optical microscopy measurements whereby it was shown that the optical texture and Raman spectra of cokes are not closely related. The Raman spectra of high temperature cokes were used to estimate the size of microcrystalline regions.     

Development of a eutectic freezing process for brine disposal

At the eutectic point, both ice and salt crystallize out of salt water and brine volume is minimized. Thus, continuous eutectic freezing has major potentials for brine disposal and concentration of industrial wastes. This paper presents a laboratory study of the principal unit operations: crystallization, separation, and washing. The results prove technical feasibility and underlie a conceptual design of a two-stage eutectic freezing process. Process economics are also discussed.     

一种基于同义词词林的中文大规模本体映射方案

本体映射是解决本体异构问题的重要途径和手段,中文知识是网络开放知识库的重要组成部分,但现有的中文本体映射系统在面对大规模本体映射任务时,显得效率较低且可用性不高,目前仍缺乏针对中文大规模本体映射的相关系统。为了解决中文大规模本体的映射问题,设计并实现了一个面向中文的大规模本体映射系统。首先,提出了一种基于拟核力场势函数的大规模本体压缩方法;其次,提出了一种基于同义词词林的中文概念等价关系确定算法;再次,实现了大规模中文本体映射的原型系统;最后,将本系统与相似度计算相关典型算法进行比较,证明其具备一定的可用性和较高的总体性能。     

Comments on the characterisation of oxidation catalysts using TPR/TPO

Temperature programmed reduction (TPR) and oxidation (TPO) are used extensively in catalyst characterisation. In this paper, we examine the use of TPR/TPO cycles for the characterisation of a range of molybdates and single oxides. In particular we observe that the first cycle differs from that of subsequent analyses, even when the maximum temperature is limited to that used in the catalytic reaction. The effect is independent of heating rates and cooling atmospheres and has been demonstrated using different bed configurations. This observation has significance when these oxides are used in periodic flow reactors that involve many cyclical reduction/oxidation.     

Fuel properties and emissions of soybean oil esters as diesel fuel

The effects of using blends of methyl and isopropyl esters of soybean oil with No. 2 diesel fuel were studied at several steady-state operating conditions in a four-cylinder turbocharged diesel engine. Fuel blends that contained 20, 50, and 70% methyl soyate and 20 and 50% isopropyl soyate were tested. Fuel properties, such as cetane number, also were investigated. Both methyl and isopropyl esters provided significant reductions in particulate emissions compared with No. 2 diesel fuel. A blend of 50% methyl ester and 50% No. 2 diesel fuel provided a reduction of 37% in the carbon portion of the particulates and 25% in the total particulates. The 50% blend of isopropyl ester and 50% No. 2 diesel fuel gave a 55% reduction in carbon and a 28% reduction in total particulate emissions. Emissions of carbon monoxide and unburned hydrocarbons also were reduced significantly. Oxides of nitrogen increased by 12%.     

Lipids ofCrassostrea virginica. I. Preliminary investigations of aldehyde and phosphorous containing lipids in oyster tissue

Oyster tissue contained 2.4% lipid, 0.14 μmole aldehyde per milligram lipid and at least 10 μg phosphorous per milligram lipid. The neutral lipid represented 58%, the glycolipid 6%, and the polar lipid 36% of the total lipid recovered after silicic acid column chromatography. Aldehydes were found in all fractions, but the presence of plasmalogen was verified in only the neutral and polar lipid fractions. At least 68% of the plasmalogen in oyster lipid was found in the polar lipid fraction. At least 13% of the phosphorous in oyster lipids was present as phosphonolipid. The distribution of phosphate and phosphonate lipids was: diacyl phospholipid 38.1%, plasmalogen phospholipid 21.8%, sphingophosphonolipid 13.5%, glyceryl ether phospholipid 8.3%, sphingophospholipid 6.9%, plasmalogen phosphonolipid 6.4%, diacyl phosphonolipid 2.6%, and glyceryl ether phosphonolipid 2.4%. When the per cent of phosphorous as phosphonolipid within the plasmalogen and glyceryl ether classes was calculated, similar values were obtained. These results support the hypothesis that there is a product precursor relationship between these two classes of lipids. Some of the data taken from a thesis to be submitted to the Graduate School, University of Maryland, by Leslye Johnson in partial fulfillment of the requirements for the M.S. degree in biochemistry.     

曲率光纤传感器的智能夹层系统研究

根据光纤自诊断系统模块化、集成化要求,将曲率光纤传感器以环形布置在PE膜的对称两面,研制了一种智能夹层系统,它可以同时测量结构的曲率和扭转。提出了智能夹层系统的标定方法。对埋有光纤智能夹层的玻璃纤维增强树脂基复合材料试件在CMT6305型电子万能试验机上进行了轴向拉伸、压缩试验和三点式弯曲性能试验,结果表明,智能夹层的埋入对智能结构力学性能有一定的影响,但影响不大。将光纤智能夹层埋入复合材料内部进行了结构曲率测试,在埋入过程中,光纤传感器的完好率达100%。与埋入前的标定结果相比,智能夹层在埋入后的曲率测量最大偏差为5.2%,说明光纤智能夹层可以在埋入复合材料之前进行标定。