Advances in Multimedia
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2022 ◽  
Vol 2022 ◽  
pp. 1-8
Author(s):  
Xifeng Mi

With the continuous development of social economy, the expansion of cities often leads to the disorderly utilization of land resources and even waste. In view of these limitations and requirements, this paper introduces the automatic extraction algorithm of closed area boundary, combs the requirements of urban boundary extraction involved in urban planning and design, and uses the technology of geospatial analysis to carry out spatial analysis practice from three angles, so as to realize the expansion of functional analysis of urban planning and design and improve the efficiency and rationality of urban planning. The simulation results show that the automatic extraction algorithm of closed area boundary is effective and can support the functional analysis of urban planning and design expansion.


2022 ◽  
Vol 2022 ◽  
pp. 1-13
Author(s):  
Tanqiu Wang

For the purpose of improving the efficiency of garment design, the computer-aided garment design virtual reality (VR) model for surplus fabric removal and reuse without segmentation of cutting pieces is analyzed in this paper to provide the architecture of the computer-aided garment design CAD system. The form of dividing the garment into multiple types of nonsegmented pieces is adopted so that each nonsegmented piece stands for a complete design element unit. Based on this structure, the computer analysis of garment design based on CAD can be connected at a deeper level, which will not only improve the design efficiency of new garments but also reduce the design time at the client terminal and enhance the quality of the design. Through the experimental operation of prototypes, it is verified that the intelligent system proposed in this paper can implement the design of prototypes quickly and effectively.


2022 ◽  
Vol 2022 ◽  
pp. 1-14
Author(s):  
Liangliang Duan

Deep encoder-decoder networks have been adopted for saliency detection and achieved state-of-the-art performance. However, most existing saliency models usually fail to detect very small salient objects. In this paper, we propose a multitask architecture, M2Net, and a novel centerness-aware loss for salient object detection. The proposed M2Net aims to solve saliency prediction and centerness prediction simultaneously. Specifically, the network architecture is composed of a bottom-up encoder module, top-down decoder module, and centerness prediction module. In addition, different from binary cross entropy, the proposed centerness-aware loss can guide the proposed M2Net to uniformly highlight the entire salient regions with well-defined object boundaries. Experimental results on five benchmark saliency datasets demonstrate that M2Net outperforms state-of-the-art methods on different evaluation metrics.


2022 ◽  
Vol 2022 ◽  
pp. 1-8
Author(s):  
You Wu Liu ◽  
Syazwina Binti Alias ◽  
Ming-yue Liu ◽  
Bian-bian Jiao

This paper decomposes the routing process of industrial robot network using the application of analytic hierarchy process in decision-making. The influence of four factors, such as path length, data integrity, energy consumption, and receiving delay, on routing effect is analyzed. Simultaneous interpreting routes are selected to achieve the purpose of routing. Simulation results show that this method can more comprehensively consider the factors affecting routing and is superior to the existing methods in terms of energy consumption, data integrity, and transmission delay.


2022 ◽  
Vol 2022 ◽  
pp. 1-10
Author(s):  
Lei Zhang

In order to improve the multisource data-driven fusion effect in the intelligent manufacturing process of complex products, based on the proposed adaptive fog computing architecture, this paper takes into account the efficient processing of complex product intelligent manufacturing services within the framework and the rational utilization of fog computing layer resources to establish a fog computing resource scheduling model. Moreover, this paper proposes a fog computing architecture for intelligent manufacturing services for complex products. The architecture adopts a three-layer fog computing framework, which can reasonably provide three types of services in the field of intelligent manufacturing. In addition, this study combines experimental research to verify the intelligent model of this article and counts the experimental results. From the analysis of experimental data, it can be seen that the complex product intelligent manufacturing system based on multisource data driven proposed in this paper meets the data fusion requirements of complex product intelligent manufacturing.


2022 ◽  
Vol 2022 ◽  
pp. 1-9
Author(s):  
Guangli Li

In the era of “Internet +” big data, the theory and technology of English corpus are becoming more and more mature. Corpus is an important method to reflect some language characteristics and clarify some language phenomena. In terms of cultural exchanges, Chinese students majoring in English have obvious cultural differences at home and abroad and lack the atmosphere and context for cultural exchanges. In addition, students have problems such as insufficient cultural communication skills. The big data neural network model is adopted in this paper to compare and analyze the intermediary sentences in the corpus to explore the development trend of English proficiency. Through the analysis of typical cases, it explores the weak links in the corpus teaching process and summarizes a method focusing on the combination of use of corpus and English teaching.


2022 ◽  
Vol 2022 ◽  
pp. 1-10
Author(s):  
Huijuan Bi

In view of the results obtained in the retrieval process of the 3D CAD model, which can show the differences in the local feature details of the model, the 3D CAD model retrieval algorithm is introduced into the analysis of the perspective distance-angle shape distribution of the garden landscape in this paper. Random sampling is performed on the surface of the constructed 3D CAD model, combined with the test distance between the sampling point and the neighboring points, and the corresponding garden landscape perspective distance-angle shape distribution characteristics in this area are calculated in order to achieve the similarity of the CAD model high-speed retrieval. Finally, experimental research shows that the algorithm proposed in this paper is better than the overall shape distribution algorithm and the spherical harmonic algorithm in the search performance of the CAD model, and it can effectively improve the recognition ability of the local detailed features of the 3D CAD model.


2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Dongjun Ma

In order to improve the monitoring effect of corporate human resource efficiency under the smart city management model, this paper establishes an evaluation model for the human resource management model between different growth stages of the organization, different organizations in different industries, and different organizations in the same industry. The proposed human resource management model is based on the deduction result of human resource planning and design, work system design and employee system design, and the dynamic matching of the three. Moreover, this paper uses the three-factor vector evaluation model to modify the management efficiency of the human resource model and designs the corresponding intelligent enterprise human resource efficiency monitoring model. In addition, this paper analyzes the system functions and designs experiments to test the model in this paper. Through experimental testing, it can be seen that the enterprise human resource efficiency monitoring system under the smart city management mode proposed in this paper has good practical results.


2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Ying Zhu

Piano performance is an art with rich artistic elements and unpredictable performance skills. It is an important carrier for playing beautiful piano sounds. The generation of musical tension and expression of piano performance is a vivid display of piano performance skills. In piano performance, we should pay attention to the cultivation and flexible application of performance skills. In order to ensure the richness and artistry of piano performance, it is fully based on the artistic characteristics of piano performance. Through in-depth analysis of the principle of the hidden Markov model, it is applied to the multimedia recognition process of piano playing music. In the process of obtaining the template, the fundamental frequency of the piano playing music differs greatly, and the piano playing music appears during the performance process. For the problem of low recognition rate, this paper proposes a multimedia recognition method for piano music. Finally, the analysis of experimental results shows that the method proposed in this paper has a 16% higher recognition rate than the traditional method, and it has a certain value in the multimedia recognition of piano music.


2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Xiaoqian Ma

In order to improve the effect of modern music teaching, this paper combines AI technology to construct a multimedia-assisted music teaching system, combines music teaching data processing requirements to improve the algorithm, proposes appropriate music data filtering algorithms, and performs appropriate data compression processing. Moreover, the functional structure analysis of the intelligent music teaching system is carried out with the support of the improved algorithm, and the three-tier framework technology that is currently more widely used is used in the music multimedia teaching system. Finally, in order to realize the complex functions of the system, the system adopts a layered approach. From the experimental research results, it can be seen that the multimedia-assisted music teaching system based on AI technology proposed in this paper can effectively improve the effect of modern music teaching.


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