Immune Multipath Reliable Transmission with Fault Tolerance in Wireless Sensor Networks

Li, Hongbing; Zeng, Dong; Chen, Liwan; Chen, Qiang; Wang, Mingwei; Zhang, Chunjiong

doi:10.1007/978-981-10-3614-9_63

Cited by 106 publications

(120 citation statements)

References 9 publications

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“…erefore, in order to build an accurate knowledge map of English teaching in universities, we need to design a suitable entity alignment algorithm to solve the above problems. e algorithm firstly extracts the renamed characters from multiple data sources to obtain the set of entities to be aligned; then, the basic information of the characters, including gender, ethnicity, date of birth, and other attributes that cannot be easily changed, is used for preliminary screening; finally, based on the set of keywords in the published papers or patent applications of the characters, the corresponding word vectors are obtained using Word2Vec and the cosine similarity between the word vectors is calculated [19]. If the similarity exceeds a defined threshold, it can be considered that both of them have the same research direction and refer to the same entity.…”

Section: Knowledge Integrationmentioning

confidence: 99%

Mind Map Construction for English Grammar Teaching Based on Knowledge Map

Kuang

2021

Scientific Programming

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The analysis of the frontier issues of the English language teaching method in China is of great guidance for English language teaching. Based on the ontology model of English teaching domain, the knowledge map of English teaching in colleges and universities is constructed by fusing heterogeneous English subject data from multiple sources. Firstly, we obtain domain knowledge from relevant websites and existing documents through web crawlers and other techniques and clean the data based on BERT model; then, we use Word2Vec to judge the similarity between the research directions of characters and solve the entity alignment problem; based on the scientific knowledge map theory, we count the frequency of keywords in each year and analyze them to describe the association and union between keywords. It can explain the current situation and trend, rise and fall, disciplinary growth points, and breakthroughs of ELT. Through keyword analysis, the hot issues mainly revolve around ELT, English teaching, college English, grammar-translation method, curriculum reform, and so forth, to realize the quick query and resource statistics of ELT basic data, in order to promote the subsequent English discipline assessment work to be completed more efficiently.

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Section: Knowledge Integrationmentioning

confidence: 99%

Mind Map Construction for English Grammar Teaching Based on Knowledge Map

Kuang

2021

Scientific Programming

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“…Algorithm. SVM is essentially a machine learning-based classification model [7], which is widely used in the field of statistical classification and regression analysis [29]. It achieves the classification of a dataset by finding a hyperplane that satisfies the classification requirements so that the different types of points of the selected training set are as far away as possible relative to the classification plan (see Figure 1).…”

Section: Least Squares Support Vector Machine Improvementmentioning

confidence: 99%

“…ere are both smooth surface parts and sharp corners and edges, so it is a typical nonexpandable free-form surface. For such a complex form, obviously, if the geometric modeling is completely in accordance with the shape of the human foot [7], it is technically quite difficult and practically unnecessary, and the process can be appropriately simplified. In general, the length and girth of the human foot (generally the top to girth and the front tarsal girth) are the two main design control parameters of the shoe last.…”

Section: Shoe Last Modeling Design Analysismentioning

confidence: 99%

“…In addition, shoes and boots are gradually becoming a fashion trend, which is the presenting body and carrier of beauty. When designing shoe and boot styles, it is necessary to meet not only their comfort but also the demand for aesthetic presentation when they are produced as daily-use products [7,8], but there is still a lack of ways to quantify the beauty in the current shoe last production, which makes it objectively difficult to achieve the ideal design. With the gradual improvement of people's living standard, there are correspondingly higher requirements for shoes and boots.…”

Section: Introductionmentioning

confidence: 99%

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Application Analysis of 3D Printing Technology in Design Field: Taking Shoe Design as an Example

Gong

Kang

2021

Scientific Programming

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The development of 3D technology has brought opportunities and challenges to the footwear industry because people’s living standards have been improving due to economic development, and people have higher requirements for the design of fashion shoes and boots. The use of 3D printing technology in the design of fashion shoes and boots can enable faster molding of footwear products, enrich the shape of footwear, and meet people’s aesthetic needs for fashion shoes. In this paper, we firstly describe the advantages of 3D printing molding shoe models and then use 3D laser foot scanning and measuring instrument to scan and obtain the cloud map of shoe lasts and foot-related data. Secondly, we realize the digital management of shoe lasts by establishing the database of solid models. On this basis, we apply the technology of least squares support vector machine improvement algorithm to make partial modifications to the lasts according to the need to leave the appropriate helper and foot lining degrees. Finally, based on this technology, we apply the least squares support vector machine improvement algorithm technology to make partial modifications to the last shape according to the need for appropriate helper and foot lining degrees to realize the process of shoe last redesign. The last model and role model can also be produced by 3D printing technology, which can be used as a mold to facilitate the processing of the cut last 2D unfolding material for shoe and boot production later. Therefore, the article studies and analyzes the design and manufacturing process of digital shoe lasts based on individual foot shape and uses CAD/CAM technology to realize the digitalization of shoe last design.

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“…Taking "League of Legends," a free online game promoted by Tencent, as the research object, we first use the player behavior features with time series as the data set for the training of the mining model when conducting whether players will play the game. e player's feature data and the label data of the mining model mainly come from two different adjacent time domains, so that the data set can be constructed to abstract the marketing problem into a prediction problem that can be solved by the algorithmic model [28,29].…”

Section: Description Of the Experimental Data Setmentioning

confidence: 99%

Game User Preference Data Analysis and Market Guidance Based on Dynamic Attention GRU

Yang

Bai

Wang

2021

Discrete Dynamics in Nature and Society

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With the development of Internet technology and social model, game products have become an important product of people’s life for entertainment and recreation, and the precise marketing of game products has become a winning means for enterprises to improve competitiveness and reduce labor cost consumption, and major game companies are also paying more and more attention to the data-based marketing model. How to dig out the effective information from the existing market behavior data is a powerful means to implement precise marketing. Achieving precise positioning and marketing of gaming market is the guarantee of innovative development of game companies. For the research on the above problem, based on the SEMAS process of data mining, this paper proposes a mining model based on recurrent neural network, which is named as Dynamic Attention GRU (DAGRU) with multiple dynamic attention mechanisms, and evaluates it on two self-built data sets of user behavior samples. The results demonstrate that the mining method can effectively analyze and predict the player behavior goals. The game marketing system based on data mining can indeed provide more accurate and automated marketing services, which greatly reduces the cost investment under the traditional marketing model and achieves accurate targeting marketing services and has certain application value.

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Immune Multipath Reliable Transmission with Fault Tolerance in Wireless Sensor Networks

Cited by 106 publications

References 9 publications

Mind Map Construction for English Grammar Teaching Based on Knowledge Map

Mind Map Construction for English Grammar Teaching Based on Knowledge Map

Application Analysis of 3D Printing Technology in Design Field: Taking Shoe Design as an Example

Game User Preference Data Analysis and Market Guidance Based on Dynamic Attention GRU

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