Over the years, several market mechanisms have sprung in electronic market space to tap new value creation opportunities. E-commerce B2B models are witnessing a move from traditionally being Brochure ware and Web Enablement of existing business process towards Business Model Reinvention (BMR). It begins with a new vision of the industry and winning business models. The key success variable to this achievement is Inter-enterprise Process Engineering. Component-based architecture provides the business benefits of rapid applications development for quick time to market, enterprise-wide consistency of business rules and quick response to changing business requirements. The paper begins with a brief description of the changing dynamics of business process in the BMR of e-commerce and then introduces the necessity of Inter-enterprise Process Engineering (IPE). We follow it up with a discussion on the component-based application architecture enabling BMR of e-commerce. Our observation establishes companies demand agile software in the face of accelerating business change. We have focused on the challenges in implementation of the same. . We conclude with the win-win situation of all players on successful implementation of Business Model Reinvention (BMR) of e-commerce.
This research is focused on the factors of effective e-learning system. Policy, quality, creativity and technology are discussed with the perceptive of service science to build up the integrated e-learning system. Interdisciplinary perspective of service science helps to create the value of the innovative e-learning system. Documents analysis and focus group were conducted to get the results. Conclusions are to follow the glimmers of service science to find Out the direction for the e-learning integrated system of next generation education.
It is mainly introduce the distribution method for stability problem of elastic thin plate with the approximated Daubechies wavelets. The distribution will be discussed in the two Dimensional tensor spaces.
In order to meet the requirements of FPD’s development which FPD must process more and more information, a new modulation method is proposed. Firstly, some available modulation technologies are introduced; secondly, the principle of the human visual system is provided so as to describe the grayscale modulation principle of FPD; thirdly, one human visual model is constructed to provide a basis for the grayscale modulation; finally, the grayscale modulation based on human visual system is used in FPD control system, and the experimental results show that this method is able to break the bottleneck of the FPD grayscale modulation.
In the delay tolerant networks (DTNs), nodes often be in the long disconnected state. Therefore, how to design an effective node wake-up scheduling pattern and keep the existing network connectivity is an important issue. In this paper, a delay tolerant networks wake-up scheduling policy is proposed, referred as WSP. The policy studies the relationship of wake-up scheduling key parameters. Moreover, WSP controls the wake-up period intervals to ensure the effective data throughput of node. The simulation results show that our policy can reduce the power consumption of node under the premise of effective data delivery ratio. In addition, WSP has good adaptability with delay tolerant networks.
Phosphorus content and its species were studied for the surface sediments of Nansihu Lake and its main inflow rivers, and the core sediments of Dushan Lake and Weishan Lake, using the SMT sequential extraction method. The phosphorus contents in the surface sediment are 465.5-13068.3 mg/kg, with the maximum value in Laoyun River, which was due to the waste water pollution from Jining City. The enrichment factors of organic phosphorus (OP) and NaOH-P are 6.5 and 9.0, respectively. The contents of phosphorus in other surface sediments are relatively lower, and are mainly composed of HCL-P. The enrichment factors of NaOH-P and OP are 1.0-3.7 and 1.3-6.0, indicating a minor human pollution. The phosphorus in the core sediment of Dushan Lake and Weishan Lake are mainly composed of HCL-P and OP. The increasing content of TOC in the core sediments was due to the growth of aquatic productivity and organic matter decomposition during the early diagenesis process, which also induced the increase of OP in the sediments since late 1960s. The higher content of OP and NaOH-P in the sediments of 6-0cm and 5-0cm for Cores DU3 and WS4 also indicated the human contamination since mid 1980s.
Image quality is one of important factor for FPD. In order to evaluate FPD image quality effectively, the evaluation method based on visual ergonomics is proposed. Firstly, the evaluation content is described which includes the background and the definition of the evaluation factors; secondly, the evaluation method is introduced which has four parts. These are equipment, test method, test evaluation and overall uncertainty. Finally, one of evaluation result is provided aiming at FPD image, and the result shows that this method is able to evaluate FPD image quality effective.
The purpose of this article was mainly to investigate gender differences for trendy online behavior patterns. This study applied the latent class analysis model to investigate Internet usage patterns from five trendy online applications among 10,909 Taiwan residents. The results showed that trendy online behavior patterns exhibited gender differences. For instance, females preferred blog service more than males do. Male in general were good at online security issue and mobile service. Gender difference depends on various/heterogeneity application. The findings herein should help Internet service providers form an applicable guideline for developing service strategies of higher service satisfaction between marketing materials, products and users' needs.
Forecasting stock market volatility is an important and challenging task for both academic researchers and business practitioners. The recent trend to improve the prediction accuracy is to combine individual forecasts using a simple average or weighted average where the weight reflects the inverse of the prediction error. However, a problem in the existing forecast combination methods is that the weights remain fixed over time. This may prove inadequate, especially in economics data, where changes in policy regimes may induce structural change in the pattern of forecast errors of the different models, thereby altering the relative effectiveness of each model over time. In this paper, we present a new forecast combination approach where the forecasting results of the Generalized Autoregressive Conditional Heteroskedastic (GARCH), the Exponential GARCH (EGARCH), stochastic volatility(SV), and Moving average(MAV) models are combined based on time-varying weights that can be driven by regime switching in a latent state variable. The results of an empirical study indicate that the proposed method has a better accuracy than the GARCH, EGARCH, SV and MAV models, and also combining forecast methods with constant weights.
Maps made of paper mateial are required to be digital, the necessary step is to recognize and trace the road lines in the maps of digital material. But there are so many crossing points of the road lines in the digital map. In order to recognize a complete road line, the tracing direction at the crossing point must be solved at first. According to present roads crossing pointes recognition algorithm has not obtained good effects. This paper describes the calculation principle of road lines recognition using BP neural networkin maps of digital material, and method has been improved. It was proved by experiment that the improved algorithm of the crossing point recognition method is highly effective.
In the course of mining, the problem of heavy metal pollution in the regional soil caused by gangue dump and fill has become increasingly serious. Therefore, we must analyse and evaluate the soil environment in mine reclamation area and take proper ways to gain the greatest environmental and economic benefits according to their characteristics.
The optimal scheduling figure is an important means to realize the maximal comprehensive benefit of the reservoir. Based on the ideas of reservoir normal operation graph, the paper puts forward to combined optimal method of drawing optimal scheduling figure, the method presets lines and outputs first, and then ascertains scheduling line number, location and the outputs of each dispatch areas by progressive optimization algorithm (POA) using historical data. Case study shows the method has good optimization performance, and strong maneuverability and practicability.
The centerline segregation in the 82B steel billet reduces seriously the final product quality; it is closely related to the unreasonable secondary cooling water system. This paper has established a two-dimensional non-steady-state heat transfer model for the continuous 82B billet casting process, and optimized the existing secondary cooling water scheme, The results show that: the strand surface temperature falling rate is lower than the center temperature falling rate in the original cooling water scheme; it is necessary to add an additional cooling subzone after the fourth subzone for decreasing centerline segregation; the optimal cooling water scheme is that cooling intensity of the fifth subzone is increased by 150% compared with the original fourth subzone.
This article presents a new solution of portable electronically published materials protection. The solution uses strict data security authentication and strong encryption protocols to improve security features with division of mobile storage device functional domains. And a security protection code to generate a new portable document format is used to prevent the attackers disclose the document information illegally.
The walking drive system is the major component of the multifunction-paver, in which adaptive material and structure for multifunction-paver was presented. Fuzzy-PI dual-mode control had been set up, simulated and analyzed by Matlab in order to get a constant speed. The simulation results show that when the fuzzy-PI dual-mode control was used, the walking stability of paver will get a very good guarantee, not only fast response, but also no steady-state error.
Due to customer demand, market competition and technological development of multiple background, SLA (Service Level Agreement) is playing more and more important roles in telecommunications industry. In this paper, we give an overall system implementation method, architecture. technology roadmap and outline design of each module to guide the detailed design and development. This work can be used by the implementation of SLA system and referred by related researched in service management domain.
With the expanding of information technology, e-commerce is becoming more and more important for enterprises to obtain competitive advantage. This paper sheds light on the consumer behavior of online shopping and specifically investigates the relationships between perceived value, customer satisfaction, and purchase intention in e-commerce. By using survey data from college students, we apply the structural equation modeling technique to analyze the relationships among the variables. The findings indicate that perceived value significantly influences customer satisfaction. Additionally, perceived value, and customer satisfaction are significant predictors of customer purchase intention. Meanwhile, the findings also provide evidence that customer satisfaction plays a partial mediating role in the relationship between perceived value and purchase intention. Finally, this paper discusses the implications and highlights some future research directions.
In this paper, we study the adaptive pinning synchronization of complex dynamical networks based on intelligent materials with coupling delays and delays in the dynamical nodes. Via the theory of Lyapunov stability and adaptive pinning control technique, we design adaptive pinning feedback synchronization controller. The numerical example of the adaptive pinning synchronization problem has been also provided to demonstrate the effectiveness of the theory.
PBL is a popular method in most developed countries which spreads students' mind and horizon. Although PBL has been widely used in disciplines such as medicine and biology, etc, teachers have not attached much importance to this method in economics teaching in China. In this paper, we made an attempt to apply PBL in economics teaching, and contract the teaching effect of PBL with the teaching effect of the traditional lecture-based teaching method. The difference is significant. Better learning effects are achieved by those students who have experienced PBL. Specifically, students who have experienced PBL have shown higher learning enthusiasm and analyzing ability. What's more, their writing skills and presentation skills are also well cultivated. About the knowledge acquisition, PBL does not show advantage. Some proposals are put forward to further promote the teaching effect of PBL.
This paper proposes a novel cooperative co-evolutionary particle swarm optimization algorithm combined with niche sharing scheme to solve function optimization problem. As the core of this algorithm, niche sharing scheme strengthens diversity of population and improves the quality of individuals. In the experiment, eight benchmark functions are selected to evaluate the performance of the novel algorithm. The simulation shows that NCPSO algorithm finds the better solutions for every function than that by PSO and CPSO. Therefore, NCPSO is a more effective and efficient algorithm in comparison with PSO and CPSO.
