Earticle

Aerobics athletes’ competitiveness is influenced by many factors. Evaluation on athletes’ competitiveness is a complicated decision process of multiple purposes. Given that the effectiveness of evaluation holds great significance to enhance athletes’ competitiveness; this paper proposes a fuzzy evaluation model of aerobics athletes’ competitiveness based on the fuzzy interval numbers. Firstly, it constructs an evaluation index system and standardizes indicators according to the interval number. Secondly, it establishes the fuzzy correlation model of interval numbers for different categories of indicators and measures the competitiveness level of aerobics according to fuzzy approaching degree. Finally, it employs cases to prove the efficacy and availability of the model.

Many kinds of multi-purpose wireless communication chips exist. However, their transmission power, throughput and error correction schemes are fixed. It is hard to apply them to various wireless applications with various quality-of-service. However, bit error occurs frequently in that transmission speed, which results in corrupted digital image when we use the chip module for image transmission. Unfortunately, this chip module does not have any error correction functionality. Hence, transmission speed should be reduced for reliable wireless data transmission. In this paper, a channel coding scheme is adopted outside of the chip module. Especially, the convolutional code is adopted as an error correction code. When the channel coding is adopted, frame error probability is analyzed considering practical chip setup parameters. By using the channel coding added outside of the chip module, reliable image transmission becomes available. Using multiple chip modules and channel coding together, throughput enhancement with trusted wireless transmission can be implemented.

Along with fierce e-commerce market competitions, some sellers may be worried about losing their customers so they bribe advisors by material means. The behavior of the advisor not only depends on their intrinsic properties, but also depends on their motivation that they may provide untruthful information to obtain additional material reward. The balance between profit and information truth constitutes the iterated prisoner's dilemma game. A trust model of electronic commerce based on iterated prisoner's dilemma game theory is proposed in this paper. Experimental results show that it can effectively inhabit advisor fraud.

Portfolio is the core issue of financial investment. This article discusses the dynamic behavioral portfolio in an evolutionary perspective. This paper first give the market selection equation as a measure of the investor market evolution level to replace the mental account of investors return, considering the impacts of heterogeneous investors to the asset return, this paper establish an adaptation GARCH model to express the dynamic evolution of asset return and risk. And considering the non-linear relationship among assets, this paper chose Clayton Copula function to put the risk of each asset into a single unified security mental account, and establish the VaR model to control investment risk and obtained the optimal weights of behavioral portfolio in each investing period. Last this paper implemented the model of the dynamic behavioral portfolio based on the market evolution in the historical data, and gave the comparison results of the dynamic behavioral portfolio based on the market evolution, to the mean-variance model and the minimum variance model. Empirical result shows that the dynamic behavioral portfolio based on the Market Evolution has a very good investment effects.

The beginnings of digital photography were humble, but now are overwhelming the silver halide photography in 2015. The term Post-Digital Photographic Era mentioned by Fred Ritchin refers to a characteristic image of digital photography with the appearance of digital photography and the beginning that the surrounding infrastructure changes. It means the era that the value framework that the existing photography had changes and a new paradigm begins to appear. Such a new paradigm is giving direct changes, i.e. technology generalization, to photographers and predicting drastic changes to society, culture, politics, and economy. This study looks at the present of photography through literature review of analog photos and digital photos from 1839 to 2015 and based on this literature, investigates the currently-emerging trends of photography and the post-photographic era. It also looks at various cases of technological advancement and presents the future directions for photography. Roland Barthes thought that photography is what was passed away, what was in the past, and what was dead. Through consideration on digital photography, virtual reality, and 3D image – products of various efforts for reviving such dead photos, it looks at the world of visual illusion, ultimate purpose of something virtual and studies the images of photography beyond being ubiquitous, the end of desire for a graphic virtual world.

In applications such as target detection, domain knowledge of sensed data is often available. In this paper, we incorporate the available domain knowledge into clustering process and develop a knowledge-driven Mahalanobis distance-based ART (adaptive resonance theory) clustering algorithm. The strength of the knowledge-driven algorithm is that it can automatically determine the number of clusters with improved clustering results. The validity of the new algorithm has been verified on four artificial datasets. In addition, the algorithm has been adopted in our cognition-inspired system for clustering data stream, where known target library and dispersion of feature or attributes are available. The basic idea of this system is to divide data stream into frames, and to incorporate knowledge learned in previous frames into clustering of the following ones. Experimental studies have demonstrated that the evolving learning mechanism leads to improved clustering results compared with conventional incremental clustering algorithm Fuzzy ART and batch-based clustering algorithm k-means.

Based on the issue how ecological technologies influence manufacturing clusters under market disciplines, a manufacturing cluster network model that regards ecological technologies of supplier manufacturers and vendors as subjects has been established. The network flows of super-networks are flow resources of manufacturing clusters. This paper, through analyzing features of suppliers of ecological technologies manufacturers and vendors, has discussed the steady states of manufacturing cluster super-networks and analyzed the influence of flows of ecological technologies utilization rates of ecological technologies, risks of ecological technologies and other parameters on steady states. Finally, the simulation verification on the model has been conducted with cluster particles, key factors which are influencing the model have been analyzed and countermeasures for improvement have been proposed.