Analysis and Research on Spatial Nodes of Historical Villages based on Spatial Syntax Theory: Cuiwei Village in Qianshan Area of Zhuhai as an Example

This research takes Cuiwei Village located in Qianshan District of Zhuhai City as an example. The village is investigated and analyzed through field research, and the street scale, spatial structure, functional characteristics of streets, internal commercial distribution forms, and functions in the Cuiwei Historic Block are studied and analyzed. Based on the convex space analysis method and the line of sight analysis method in the space syntax theory, with the help of the Depthmap software, the complex street nodes, that is, the space of the two nodes A and B analyzed. Through the establishment of a viewshed model, including the analysis of the viewport integration degree, the viewport agglomeration degree, the viewport connection value and the spatial characteristics of the historical area, the most representative traditional buildings in the village, namely the Sanwang Temple and the Weishi Mansion, are selected. =N and when the radius R=3, observe the changes of the two parameters, the integration of the visual field and the visual depth of the two historical buildings. And with the help of Baidu time machine photos in different periods to observe and record the store's changes and people's behavioural characteristics. The results show that: at the present stage, the coordination of villages is poor, people's recognition in the village space is weak, and people cannot use local perception to reflect the overall space. There are obvious sub-interfaces between the interior of the village and the outside world—good but poor global intelligibility. After an on-the-spot investigation and analysis, it can be seen that although people can walk out of Cuiwei Village, they are always in a state of confusion, and it is difficult to grasp the spatial form of the overall area. Therefore, the space syntax analysis results are consistent with the field survey results, so this research method has good reference value and reference significance in the study of village space.

Air to Water Generator Integrated Systems: The Proposal of a Global Evaluation Index—GEI Formulation and Application Examples

Due to water scarcity, in the last few decades, air-to-water generator (AWG) technology, whose useful effect is the extraction of water from air, has been improved. In particular, in the last few years, advanced AWG integrated systems have been developed. Such systems permit, not only to condense water from air, but also the smart use of the by-side effects of the process in order to partially or totally cover the heating ventilation air conditioning (HVAC) needs of a building. Presently, there are no evaluation tools that permit a complete comparison among AWG machines, taking into account all the useful effects that can be obtained at the same time and with the same energy input. The current work, starting from the need for such a tool, proposes a global index whose formulation considers all useful effects of an integrated system, the energy required to obtain them, and the integration degree of the machine. The index translates into a single number the system global efficiency, by means of a particular combination of existing efficiency indicators. In its extended formulation, it can be applied, not only to AWGs, but also to other HVAC integrated systems, as well as to combinations of non-integrated and integrated solutions. In addition to equations, the paper provides calculation examples and a case study in order to show the practical application and advantages of GEI.

How The Livestream Marketing Model Influence the Consumer Decision-Making Process Amid the COVID-19?

The emerging of new media platforms and technology advancements is changing the landscape of online retailing and "touchpoints" in the consumer journey. How does the livestream marketing model influence the consumer decision-making process, and why it achieves exponential market growth within years are significant to answer? This article utilized the Five-Stage Model of the Consumer Buying Process, content, and data analysis method to conduct an in-depth case study of Alibaba's Taobao T-mall "Double 11" livestream marketing campaign amid COVID-19. The result shows that livestream marketing plays as an amplifier and filter that stimulates consumers to make the most cost-efficient purchase choices and largely shortens decision-making time. It undertakes the responsibilities of simultaneously entertaining the audience with intriguing digital content and providing consumers with seamless purchase experiences. The high integration degree between supply chain and livestreamers, showrooms and online e-commerce stores, brands and consumers empowers livestream marketing to convert public traffic pools into precisely segmented private traffic communities. Supported by a mature ecosystem, livestreaming will help create a multi-win situation for brands, consumers, online retailers, livestreamers, and e-commerce platforms with a lower barrier to entry and higher conversion rate across niche markets. This article is applicable to further studies in the academic fields of digital marketing, online retailing, psychology, economics, business, and sociology. It will also provide marketers and brands with strategic tools to better understand consumers' decision-making process, adapt to new alternations of "moment that matters", precisely target segmented audience groups, and enhance overall business performance.

Research on Thermal Design of Server Structure Based on LRM Mode

Aiming at the module heat dissipation problem of a military domestic LRM mode server, a thermal design which can improve the module cooling efficiency and equipment integration is proposed. The design can realize the easy heat dissipation and high integration of on-board equipment. Through the design of fan device, module cooling and heat pipe, the heat dissipation efficiency of the server was improved, and the heat dissipation capacity of the module was improved. Thus the integration degree of on-board equipment was improved. The designed server was thermally analyzed and tested at + 65 °C. By comparing the experimental results with the thermal analysis results, the conclusion proved the correctness and feasibility of the research content in this paper.

RESEARCH ON THE ALLEYS SYSTEM AND COMMERCIAL ACTIVITIES DURING THE QIANLONG DYNASTY IN QIANMEN AREA, BEIJING

Based on the basic judgment that commercial buildings have a high demand for traffic accessibility, this study analyses the integration degree and selectivity of the streets and alleys in the spatial syntax. It superimposes the different drawing forms of the buildings along the streets in the whole map of the Qianlong capital. Determine the public attributes that may correspond to the four architectural forms along the street during the Qianlong Dynasty in the Qianmen area of Beijing, and then analyse the trend of commercial activities in this area. According to the degree of agglomeration of commerce along the street, the commercial front street and back street of the area are distinguished, providing a research basis for the development context and path of commercial activities in the area.

Analysis and Research on the Node Space of Ancient Villages Based on Space Syntax

This research takes Cuiwei Village in Qianshan District of Zhuhai City as an example. Through field research, the village is investigated and analyzed, and the street scale, spatial structure, functional characteristic streets, internal commercial distribution forms, and functions of Cuiwei Historic District are studied. analysis. On this basis, based on the convex space method and the line-of-sight analysis method in the space syntax theory, with the help of Depthmap software, the complex street node, that is, the space of the two nodes A and B, is established through the establishment of a visual field model. It includes the analysis of the integration degree of the horizon, the concentration of the horizon, the connection value of the horizon and the spatial characteristics of the historical area, as well as the traditional buildings that are the most representative of the village, namely the Three Kings Temple and the Webster's Mansion. When R=N and radius R=3, observe the changes in the two parameters of the visual integration and visual depth of the two historical buildings. And with the help of Baidu Time Machine photos in different periods to observe and record the changes in the store and the characteristics of people's behavior, and draw conclusions.

A Hierarchical Learning Model based on Deep Learning and its Application in a SPOC and Flipped Classroom

In accordance with the progressive knowledge-to-ability transformation laws, a hierarchical learning model composed of cognitive layer, application layer, and design layer was created and applied to college computer teaching. This model was used to facilitate the deep learning among students through the association establishment, step-by-step understanding, and comprehensive application of new and old knowledge. In the teaching design process, the “5-problem” teaching, which centered on “student–problem–activity–resource,” was conducted and applied to the “Small Private Online Course (SPOC) + flipped classroom.” The teaching result was assessed using the proposed hierarchical classification method. Results demonstrate that the improved teaching model remarkably enhances the ability of noncomputer major students to solve the practical problems encountered in their specialties by virtue of computational thinking through the data analysis of evaluation results and students’ survey feedback. The students obviously speak more highly of the improved teaching model than the traditional blended teaching in the aspects of teaching content organization, learning effect, integration degree with the specialty and satisfaction. The degree of their participation in the flipped classroom reached as high as 90%.

Analysis on the Housing Price Relationship Network of Large and Medium-Sized Cities in China Based on Gravity Model

The relationship among cities is getting closer, so are housing prices. Based on the sale price of stocking houses in thirty-five large and medium-sized cities in China from 2010 to 2021, this study established the modified gravity model and used the method of social network analysis to explore the spatial linkage of urban housing prices. The results show that: (1) from the overall network structure, the integration degree of housing price network in China is still at a low stage, and the influence of housing price is polarized; (2) from the individual network structure, Beijing, Shanghai, Shenzhen, Nanjing, Hangzhou, and Hefei have a higher degree of centrality. Chengdu, Xining, Kunming, Urumqi, and Lanzhou stay in an isolation position every year; (3) from the results of cohesive subgroup analysis, different cities play different roles in the block each year and have different influences on other cities. (4) Emergencies, such as outbreaks of COVID-19, also have an impact on the housing price network. Structural divergence among urban housing prices has become more pronounced, and the diversity of house price network has been somewhat reduced. Based on the above findings, this paper puts forward some recommendations for the healthy development of housing market from the perspective of housing price network.