Modified polyaspartic acid (PASP-SEA-ASP) was prepared from polysuccinimide (PSI) that was thermal condensation polymer of aspartic acid (ASP), taurine (SEA) and ASP. The property of scale ...inhibition, dispersant and biodegradation of PASP-SEA-ASP were studied. The structure of modified polyaspartic acid was characterized by means of FTIR. Calcium carbonate crystals in scale samples were analysed by means of SEM. The results showed that under Ca 2+ 400 mg/L, HCO 3 - 800 mg/L and PASP-SEA-ASP composite 4 mg/L, the scale inhibition rate of PASP-SEA-ASP was 67%. Under PASP-SEA-ASP composite 15 mg/L, the least diaphaneity of the top liquid on dispersing iron oxide was 53.8%. And PASP-SEA-ASP possess better biodegradation performance and the highest biodegradation rate can reach 70%. Modified polyaspartic acid could distort calcium carbonate crystallite and made calcium carbonate crystallite more dispersive.
Polyaspartic acid derivative was prepared from polysuccinimide that was thermal condensation polymer of aspartic acid and aspartic acid.The property of scale inhibition and biodegradation of PASP-ASP ...were studied. The structure of polyaspartic acid derivative was characterized by means of FTIR.Calcium carbonate crystals in scale samples were analysed by means of SEM.The results showed that under Ca 2+ 400 mg/L , HCO 3 - 800 mg/L and PASP-ASP composite 6 mg/L,the scale inhibition rate of PASP-ASP was 100%. And PASP-ASP has better biodegradation performance and the highest biodegradation rate can reach 70%. Polyaspartic acid derivative could distort calcium carbonate crystallite and made calcium carbonate crystallite more dispersive.
With multi-level fuzzy comprehensive evaluation, this paper analyses the contradictions between the customer's expectation to service quality and the synthetical influence of multifactors on service ...quality. Evaluation factors, such as efficiency of service, the transparency of product and charging, the credibility of services, service business convenience, kinds of services and products, are abstracted to develop a fuzzy comprehensive evaluation model of customer satisfaction valuation. The paper has established the mathematics models for fuzzy synthesis evaluating the customer satisfaction of service enterprises, evaluated service in a city, which would be improve the customer's satisfaction in service enterprises.
6 Sigma is an advanced quality management tool and BPR is a popular enterprise management concept. 6 Sigma is applied to the business process re-engineering of a hospital servicing enterprise in the ...paper. The DMAIC (Define, Measure, Analyze, Improve and Control) process is implemented to improve the service quality.The linkage of enterprises process and service quality is revealed.The management concept that high quality service need the guarantee of the process with high liability and high quality is presented.
The management problem of geospatial information becomes the hotspot because of the high-speed development of geospatial information related industry. This paper looking at the problem from the angle ...as distributed Geocomputing, and studies on the distributed management and publishing mechanisms of massive geospatial information. There the collaboration mechanism of distributed nodes and the database-based storage and management strategy of massive geospatial information are proposed. The system performance and data access efficiency could be enhanced through collaborating between distributed nodes. Moreover, the complexity and heterogeneities between different data could be shielded by spatial database engine technology, which provides a uniform interface for data access on database. A prototype system has been implemented. Tests show that this system has favorable performance on data access, which could be a reliable data support for the upper geospatial information applications.
This paper proposes an index system of comprehensive competitiveness assessment for the small and medium-sized service enterprises (SMSEs) in order to assess their competitiveness rationally and make ...the competitive strategy accordingly. An assessment model of SMSEs competitiveness based on BP neural network is built on the basis of weighting indices by analytic hierarchy process (AHP) method and calculating SMSEs competitiveness comprehensive index which breaks through the limitation of conventional assessment methods, and also inducts the sensibility analysis to discriminate the importance of each index in the assessment index system. The effectiveness of our methodology was verified with an empirical study by using the data of 135 listed SMSEs which are from annual report in financial database of Wind consultation. The results indicates that the artificial neural network model can accurately realize the non-linear reflection from input index to output index, and it can avoid the random and subjectivity when determining the indices weight. Consequently, the assessment model of SMSEs competitiveness based on the artificial neural network plays an important role in forecasting the competitiveness comprehensive index, discriminating the importance of each assessment index and discovering the competitive advantages and disadvantages, which is useful to provide a scientific basis for drafting the relevant competitive strategy and improving the competitiveness for the SMSEs.
