Abstract: Many projects have the characteristic of large-scale, wide-rang, and at very important role in national economy. Nowadays engineering project management is still suffering from many problems due to various uncertainties kind of risks. Risk management is a crucial parts of successful engineering project management, but it is often not well predictive in many projects. Risk predictive is valuable and essential for decision support system. But risk factors in projects are complex and couple with each other, and normal risk predictive can not manifest this relationship fully. According to the uncertainness parameters in risk management, predictive control strategy is proposed in this paper. Considering the nonlinear dynamical process, the model of external disturbance is built as a part of control system, and its stability is also analyzed. The effectiveness of the proposed method is demonstrated through a numerical simulation.
Abstract: In the uncertain environment, trust and risk are both key elements for making trust-based decisions. Risk is regarded as a supplement to trust or even omitted in the most existing trust models, which will lead to one-sided or subjective decisions. To solve the issues, a risk-aware adaptive trust negotiation framework is proposed in this paper. According to the specific negotiation context, the framework analyzes the potential risks and adapts dynamic access control levels appropriately with risk management methods. The use case results indicate that this framework can identify the potential risk and adapt access control polices according to the specific entity and transaction, which avoid risks and provides more efficient trust negotiation services.
Abstract: The objective of this study is to assess the potential applicability of an extracellular biopolymer (PA-2) produced by Pseudomonas alcaligenes as biosorbent remove the Cu(II) ions from environmental and industrial wastewater. The effects such as pH, Cu(II) initial concentration and sorbate-sorbent contact time and agitating speed on the adsorption capacities of PA-2 were studied. Biosorption equilibriums were rapidly established in about 60 min and the adsorption kinetics followed the pseudo-second order kinetic model. Biosorption equilibrium datas were better described by Langmuir isotherm model. The maximum Cu(II) adsorption capacity determined from Langmuir isotherm were 81.36 mg /g PA-2. The carboxyl and hydroxyl groups of the PA-2 were involved in chemical interaction with the Cu(II) ions depicted by Fourier transform infrared spectroscopic (FTIR) results. The present study indicated that PA-2 may be used as an inexpensive, effective and easily cultivable biosorbent for the removal of Cu(II) ions from environmental and industrial wastewater.
Abstract: An extracellular biopolymer (PFC02) produced by Pseudomonas alcaligenes was used as an alternative biosorbent to remove toxic Cd(II) metallic ions from aqueous solutions. The effect of experimental parameters such as pH, Cd(II) initial concentration and contact time on the adsorption was studied. It was found that pH played a major role in the adsorption process, the optimum pH for the removal of Cd(II) was 6.0. The FTIR spectra showed carboxyl, hydroxyl and amino groups of the PFC02 were involved in chemical interaction with the Cd(II) ions. Equilibrium studies showed that Cd(II) adsorption data followed Langmuir model. The maximum adsorption capacity (qmax) for Cd(II) ions was estimated to be 93.55 mg/g. The kinetic studies showed that the kinetic rates were best fitted to the pseudo-second-order model. The study suggestted that the novel extracellular biopolymer biosorbent have potential applications for removing Cd(II) from wastewater.
Abstract: Cross relation and its blending degree among academic resource would be revealed through association analysis of academic resource from CSSCI. So, this paper tries to change the traditional analysis mode that using association rule mining to gain the subject relationship based on single standard, and introduces the ontology mechanism with semantic description capabilities into the knowledge organization of CSSCI academic resource for organizing all kinds of academic concepts by object-oriented approach, so that to establishes CSSCI Academic Resource Networks Model based on Ontology. On this basis, knowledge mining technique will also be adopted to detect the research hotspots of disciplines from the perspectives of high-frequency themes and themes from influential entity in disciplines, to discover the interdisciplinary hotspots so as to promote the exchange of interdisciplinary and to clear the specific direction of interdisciplinary cooperation. Upon that, all kinds of analysis conclusions and scientific laws which have academic value and could generate academic influence would be obtained to support the decision for scientific evaluation.
Abstract: Circular economy with low consumption, low emission, high efficiency rate of basic features, development of circular economy required to optimize industrial structure adjustment. By analyzing tertiary industries and internal structure of tertiary industries in Liuzhou, preliminary view is large proportion of secondary industry, proportion of tertiary industry is small, development of three industries is uneven; internal structure of primary industry is not quite reasonable, main reason is large intermediate consumption of various industries, agricultural products of unit area yield is low, and development of modern agriculture lags behind, a large proportion of heavy industry in secondary industry, development of light industry lags behind, high resource consumption and pollutant emissions, tertiary industry traditional services industries has some basis, but it grows slowly, and its structure is not quite reasonable, need to be adjusted.
Abstract: The paper introduces a novel real-time interactive LBS system, which can be applied to large-scale smart parks such as tourist resorts, Expos and campuses. Compared with the existing systems, some new functions in the proposed system are introduced. The system is composed of Service Center and mobile client. The Service Center provides services such as routine planning, congestion avoiding, announcements publishing and so on. The mobile client is capable to send various kinds of pre-defined requests to the Service Center and concurrently process real-time responses. The prototype system is illustrated to prove the usability and practicability.
Abstract: There is no doubt that the technique of trademark image retrieval based on multi-feature is increasingly popular. It’s proposed that a combination of the feature of spatial relationships and shape-based is used to retrieve trade mark images in this paper. Firstly, angle relations describe the relationship each spatial object and a special similarity measure is used; Secondly, in order to well describe the shape features of the trademark images, a Euler-number of shape-region-based and compactness and convexity based on shape-contour are proposed; Thirdly, the similarity measure of an inquiring image and database images in the total number of objects is applied with the combination of multi-feature. Good results have been obtained in the following experiments, which prove the multi-feature combination way is better than other single-feature ways.
Abstract: The objective of this study is to assess the environmentaly friendly Ni(II) adsorption from synthetic wastewater using Pseudomonas alcaligenes biomass (PA-2). The ability of PA-2 to remove the Ni(II) ions was investigated by using batch biosorption procedure. The effects such as pH, dosage of biosorbent, Ni(II) initial concentration and sorbate–sorbent contact time and agitating speed on the adsorption capacities of PA-2 were studied. Biosorption equilibriums were rapidly established in about 60 min and the adsorption kinetics followed the pseudo-second order kinetic model. The maximum Ni(II) adsorption capacity determined from Langmuir isotherm were 82.23 mg/g PA-2 at pH 5.0, at 25±2°C and shaker speed 150 rpm, respectively. The carboxyl , hydroxyl and amino groups of the PA-2 were involved in chemical interaction with the Ni(II) ions depicted by Fourier transform infrared spectroscopic (FTIR) results. The study points to the potential of new use of Pseudomonas alcaligenes biomass as an effective biosorbent for the removal of Ni(II) and from environmental and industrial wastewater.