Effects of residence time and heating rate on gasification of petroleum residue

2021

Regional cultural and creative products are paying more attention to the cultural core of their design and communication, while satisfying the basic design elements of appearance, function, and aesthetics; therefore, agricultural cultural and creative image (ACCI) also has its dual attributes of culture and commerce. Virtual reality (VR) animation technology can integrate video, text, and model into one, comprehensively display the three-dimensional digital content of regional cultural characteristics, bring users an immersive viewing experience, and enhance their interest in traditional culture, beneficial to the spreading and inheriting traditional culture. On the basis of summarizing and analyzing previous research works, this paper analyzed the development background, current status, and future challenges of VR animation technology and expounded the research situation and significance of design and dissemination of ACCI. Further, this paper proposed the design method, communication model, and approaches of ACCI based on VR animation technology, explored the reshaping of ACCI’s digital elements, resolution of ACCI’s artistic features, and discovery of ACCI’s artistic values, constructed the platform architecture and implementation technology of VR animation, and finally discussed the issue of the integration and innovation of cultural products and VR animation technology. Excellent regional cultural and creative products can achieve the multiple goals of promoting product sales, improving design aesthetics, and spreading cultural characteristics by pursuing cultural and creative values. The ACCI based on VR animation technology not only makes customers pay attention to the agricultural brands and consuming their products but also promotes regional identity and disseminate regional culture, inspiring the potential awareness of tourism and shopping and driving the economic development.

Section: Technology Implementation Of Vr Animation Platformmentioning

confidence: 99%

An Empirical Study on Application of Virtual Reality Animation Technology by Big Data Model

Sun

2021

“…Under the condition of low complexity, the extended GMM (Gaussian Mixture Model) method can further improve the performance of the algorithm by embedding local features [13]. In the subspace method, the similarity between subspaces is used as the basis for B2C online marketing of multimodel fusion.…”

Section: Related Workmentioning

confidence: 99%

Research on the B2C Online Marketing Effect Based on the LS-SVM Algorithm and Multimodel Fusion

Liao

2021

The comprehensive B2C online marketing is analyzed, and the current situation and shortage of comprehensive B2C online marketing strategies are summarized. Then, based on the relevant theories of consumer behavior and online marketing, the model of influencing factors in the purchasing decision-making process of online consumers is preliminarily constructed, the online purchasing behavior of consumers is studied by means of questionnaire survey, and the model is revised and improved through data collection and verification. Finally, based on the model, the online marketing strategy is discussed from the aspects of comprehensive B2C online marketing construction, product positioning, price strategy, channel construction, website design, and so on. It has important guiding significance to comprehensive B2C online marketing practice. Aiming at the B2C online marketing problem of multimodel fusion with multiobservation samples, a new multimodel fusion B2C online marketing algorithm based on LS-SVM is proposed, which is suitable for multiobservation samples. In each B2C online marketing of multimodel fusion, the mode of B2C online marketing to be multimodel fusion is represented by the multiobservation sample set. Firstly, the label of the multiobservation sample set is assumed, and this assumption condition is taken as the constraint condition of the optimization problem in LS-SVM. Thus, the B2C online marketing error of multimodel fusion is obtained. The category of multiobservation samples was determined by comparing the B2C online marketing errors of multimodel fusion under two assumptions. The B2C network marketing prediction method, stacking integrated learning method based on multimodel fusion, is adopted to build a multimachine learning algorithm embedded into the stacking integrated learning B2C network marketing prediction model. Through verification, it shows that the lower the correlation degree, the better the model prediction effect. Compared with the traditional single-model prediction, the B2C network marketing prediction method based on multimodel fusion stacking integrated learning method has higher prediction accuracy. The model prediction effect is better.

“…More than 20% of the per capita net income of farmers in the key counties of economic forestry is from economic forestry income [4]. Increasing the supply of economic forestry products can not only effectively solve the contradiction of China's food and oil competition for land, provide natural, nutritious, safe, and high-quality products for the market, and meet the consumption demand of social residents for high-quality products after the upgrading of consumption but also effectively improve the income of rural farmers, especially in mountainous areas, promote the harmonious development of urban and rural society, and improve the overall competitiveness of the country [5][6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Analysis on Forestry Economic Growth Index Based on Internet Big Data

Duan

Kan

2021

The development of economic forestry industry is an important support in the process of rural revitalization strategy and precise poverty alleviation, as well as enrichment of the people. As the market of economic forestry products is close to a perfectly competitive market, brand effect is crucial under homogeneous competition, and economic forestry product enterprises and other business entities need to win and maintain sustainable competitive advantages through brand management. Currently, in the field of economic forest, products such as Chinese wolfberry, jujube, blueberry, fungus, walnut, tephrosia, hazelnut, and chestnut and forest foods and product brands with certain market recognition have emerged, but for most small- and medium-sized economic forest product enterprises, forest product brand cultivation and construction are still in the initial stage. Under the rapid development of the Internet, different types of Internet platforms, which provide new tools and possibilities for branding, the way of corporate brand marketing, and customer management services, have also undergone significant changes. In the market with serious homogenization and increasingly fierce competition, how to establish brand-consumer connection through the Internet platform, strengthen the intensity of consumer participation and connection to the brand, give play to the brand effect, and enhance the brand value in the long term, so as to obtain a new way to win a sustainable competitive advantage, has become an important proposition for all kinds of enterprises, including economic forest product enterprises. Combining the competitive characteristics of economic forestry products and the development of the Internet, the model of brand value enhancement of economic forestry products based on virtual brand communities is constructed. The model takes the experience value obtained by consumers in the virtual brand community as the antecedent and studies the path relationship from experience value, community identity, brand fit, and consumer brand value creation to brand value in four dimensions, utilitarian experience value, emotional experience value, social experience value, and learning experience value, and takes community integration and community support feeling as the moderating variables.