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1
Han, Sangyun, Soo Kyung Park, and Kyu Tae Kwak. "Public Policies for Popularization of Mathematics." Korean Society of Culture and Convergence 40, no. 5 (2018): 637–70. http://dx.doi.org/10.33645/cnc.2018.09.40.5.637.
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Pisano, Raffaele, and Paolo Bussotti. "ON POPULARIZATION OF SCIENTIFIC EDUCATION IN ITALY BETWEEN 12TH AND 16TH CENTURY." Problems of Education in the 21st Century 57, no. 1 (2013): 90–101. http://dx.doi.org/10.33225/pec/13.57.90.
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Mathematics education is also a social phenomenon because it is influenced both by the needs of the labour market and by the basic knowledge of mathematics necessary for every person to be able to face some operations indispensable in the social and economic daily life. Therefore the way in which mathematics education is framed changes according to modifications of the social environment and know–how. For example, until the end of the 20th century, in the Italian faculties of engineering the teaching of mathematical analysis was profound: there were two complex examinations in which the theory was as important as the ability in solving exercises. Now the situation is different. In some universities there is only a proof of mathematical analysis; in others there are two proves, but they are sixth–month and not annual proves. The theoretical requirements have been drastically reduced and the exercises themselves are often far easier than those proposed in the recent past. With some modifications, the situation is similar for the teaching of other modern mathematical disciplines: many operations needing of calculations and mathematical reasoning are developed by the computers or other intelligent machines and hence an engineer needs less theoretical mathematics than in the past. The problem has historical roots. In this research an analysis of the phenomenon of “scientific education” (teaching geometry, arithmetic, mathematics only) with respect the methods used from the late Middle Ages by “maestri d’abaco” to the Renaissance humanists, and with respect to mathematics education nowadays is discussed. Particularly the ways through which mathematical knowledge was spread in Italy between late Middle ages and early Modern age is shown. At that time, the term “scientific education” corresponded to “teaching of mathematics, physics”; hence something different from what nowadays is called science education, NoS, etc. Moreover, the relationships between mathematics education and civilization in Italy between the 12th and the 16th century is also popularized within the Abacus schools and Niccolò Tartaglia. These are significant cases because the events connected to them are strictly interrelated. The knowledge of such significant relationships between society, mathematics education, advanced mathematics and scientific knowledge can be useful for the scholars who are nowadays engaged in mathematics education research. Key words: Abacus schools, mathematics education, science & society, scientific education, Tartaglia
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ERDOĞAN, Abdulkadir. "ANALYZING THE CONTRIBUTION OF AN INTERACTIVE MATHEMATICS EXHIBITION TO THE POPULARIZATION OF MATHEMATICS." Ondokuz Mayis Univ. Egitim Fakultesi Volume 31 Issue 1, no. 31 (2012): 116–43. http://dx.doi.org/10.7822/egt98.
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Hudeček, Jiří. "Hua Loo-Keng’s Popularization of Mathematics and the Cultural Revolution." Endeavour 41, no. 3 (2017): 85–93. http://dx.doi.org/10.1016/j.endeavour.2017.06.009.
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Kaur, Manmohan. "The Mystery of the Dancing Men." Journal of Humanistic Mathematics 11, no. 2 (2021): 417–29. http://dx.doi.org/10.5642/jhummath.202102.25.
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In this paper I describe an activity based on a 1903 Sherlock Holmes murder mystery, in which a substitution cipher is used to encrypt secret messages. The story provides a fun and interesting way to talk about frequency analysis, and can be used as a segue into mathematical constructs such as modular arithmetic and computation. The activity is accessible to ages twelve and above, and has been successfully used in mathematics outreach and popularization efforts as well as in general education and mathematics courses.
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Pozdnyakov, S. N., I. A. Posov, A. F. Pukhov, and I. V. Tsvetkova. "Science Popularization by Organizing Training Activities Within the Electronic Game Laboratories." International Journal of Digital Literacy and Digital Competence 3, no. 1 (2012): 17–31. http://dx.doi.org/10.4018/jdldc.2012010102.
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The article describes the history of the knowledge popularization in Russia and the current situation in this domain with the impact of rapidly developing computer technologies. The article also introduces the Construct, Test, Explore (CTE) contest aimed to take students into the scientific phenomena through the game laboratories illustrating the unsolved and difficult problems of mathematics, informatics, and physics. The CTE School project based on the contest ideas is devoted to learning basic algorithms from the theory of information or discrete mathematics through training experiments.
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Jing, Tang. "The popularization of China’s higher education and its influence on university mathematics education." Educational Studies in Mathematics 66, no. 1 (2007): 77–82. http://dx.doi.org/10.1007/s10649-007-9081-5.
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Siu, Man. "Balancing Entertainment and Learning in the Popularization of Mathematics: The Seven Light Bulbs Problem." Journal of Humanistic Mathematics 8, no. 1 (2018): 277–88. http://dx.doi.org/10.5642/jhummath.201801.12.
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Агаханов, Н., and N. Agahanov. "Work with Mathematically Gifted Children in a Multi-Level System of Subject Olympiads and Competitions." Profession-Oriented School 6, no. 5 (2018): 19–26. http://dx.doi.org/10.12737/article_5bbf0645281074.31484397.
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The article presents a multi-level system of subject Olympiads and competitions in mathematics for the identifi cation and development of mathematically gifted schoolchildren that has developed in Russia at present. The activity of each structural component and their purpose are described. The conceptual bases of work with mathematically gifted children in the multi-level system of subject Olympiads and competitions are revealed: the formation of the intellectual elite; increasing the role of mathematics in modern society; identifi cation, selection and self-realization of gifted children; professional orientation; development and specifi city of tasks for mathematical Olympiads and competitions; coaching support in working with mathematically gifted children; content and stages of work with mathematically gifted children; a variety of forms of additional education for mathematically gifted children; stimulating teachers to work with gifted children; organizational support of education management bodies; popularization of mathematical education.
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Vahina, N., V. Kovalenko, and O. Onufriienko. "DECADE OF PHYSICS AND MATHEMATICS IN THE PEDAGOGICAL UNIVERSITY AS A COMPREHENSIVE FORM OF EDUCATIONAL INTERACTION AND POPULARIZATION OF MATHEMATICAL KNOWLEDGE." Physical and Mathematical Education 20, no. 2 (2019): 17–22. http://dx.doi.org/10.31110/2413-1571-2019-020-2-003.
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Koleva, Donka. "Project "Digital Presentation and Preservation of the Cultural Heritage of the Old-print Fund and the Historical Theatre Salon of Community Center "Nadejda 1869", Veliko Tarnovo"." Cultural and Historical Heritage: Preservation, Representation, Digitalization 6, no. 1 (2020): 32–42. http://dx.doi.org/10.26615/issn.2367-8038.2020_1_003.
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The topic is dedicated to the joint project between „Nadejda 1869” community Center and Regional Library „P.R.Slaveykov”. The objectives of the project are preservation and popularization of the Bulgarian cultural heritage in the European context of cultural and creative industries, cultural exchange and cultural diversity through: (1) Presentation and popularization of the value of the cultural wealth of the Community centre; Popularization of the theme of the book Treasures of the Community Library and innovative online presentation of the old Printing fund, storing it in electronic form to facilitate access to it and its preservation for future generations; (2)Popularization of the historical cultural hall, connected with statehood and the first inscription „Unity makes Power” by digitization of archival documentation; (3) Stimulating sustainable partnerships, exchanging experience and knowledge, bringing together scientific and practical experience in the preservation of cultural heritage and volunteering. The community Center „Nadezhda 1869” is associated with historical events important for the Bulgarian statehood. Three great folk assemblies were sitting in his theater hall. It starts the library and museum work, the theater, the cinema and the Art Gallery in the city. The library has a fund of 48 787 units, and the old-print collection consists of 446 books, newspapers and magazines from the period 16th -19th century. The oldest is the book „The Work Miney”, printed in Venice in 1588 and containing religious texts in Greek. For digitization is selected the topic „Bulgarian education to Liberation”, consisting of teaching aids in linguistics, natural sciences, mathematics and history – a total of 78 titles. Digitization is carried out in the specialised Digital center „North +” of Regional Library “P.R.Slaveykov", created under the program BG08 „Cultural Heritage and contemporary arts”. The successful realization of the project activities will help to protect and promote knowledge, improve access through digital technologies to the specialized collections of the old Printing fund and popularization of the Historical Theatre Hall -National value, through their inclusion in the cultural treasury „North +”, the rubric „Old print Fund” and the website of the Community Center. Keywords: Preservation of Cultural Heritage, Old-print Fund, Historical Theatre Salon "Nadejda"
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Bischi, Gian Italo. "Dante Alighieri Science Communicator." Substantia 5, no. 2 (2021): 7–17. http://dx.doi.org/10.36253/substantia-1329.
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This paper deals with the issue of communication and dissemination of scientific knowledge outside the circle of specialists. In particular, in the occasion of the 700th anniversary of the death of Dante Alighieri, we will focus on the program for the popularization of knowledge outlined by Dante in the Convivio and De Vulgari Eloquentia, as well as several examples taken from his Divine Comedy concerning mathematical and natural sciences. Some solutions for communicating science proposed by Dante, such as the explanations of principles and scientific methods within a narrative framework (now often called the storytelling method), in addition to dialogues between characters, anticipate methods for science communication used by several authors after him. Examples are provided to show the depth of Dante’s knowledge concerning the basic concepts and methods of mathematics, physics and natural sciences (such as chemistry, meteorology, astronomy etc.). In addition, the examples demonstrate how effectively Dante used analogies and metaphors taken from sciences within his poetry.
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Ren Rongrong, Zheng Nian, and Sun Hongxia. "With the Model of Information Entropy and Unascertained Measure to Evaluate Science Popularization Talents." INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences 5, no. 4 (2013): 82–88. http://dx.doi.org/10.4156/aiss.vol5.issue4.11.
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KHABLIEVA, Svetlana R. "FEATURES OF THE OLYMPIAD IN MATHEMATICS IN THE FRAMEWORK OF NETWORK INTERACTION OF EDUCATIONAL ORGANIZATIONS." PRIMO ASPECTU, no. 3(47) (September 15, 2021): 59–64. http://dx.doi.org/10.35211/2500-2635-2021-3-47-59-64.
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The article presents the features of the organization and conduct of the Olympiad work in mathematics based on the network interaction of various educational organizations. The network interaction of educational organizations in the article is considered as a complex mechanism for centralizing educational resources, contributing to the active involvement of several educational organizations at once in a single educational process, overcoming the considerable territorial remoteness of various educational organizations. There are small educational organizations that have limited material, technical, methodological and human resources for organizing and conducting, on the basis of creating a unified information and educational environment, various events, in particular Olympiads. Each educational organization included in a single network has access to all its aggregate resources and thereby increases its own teaching and educational potential, and students receive a wide range of educational services, due to which each of them can build their own individual educational route. The article also discusses the main directions of organizing and holding the Olympiad in mathematics based on the network interaction of educational organizations of different levels using TRIZ pedagogy (theory of inventive problem solving), LEGO pedagogy (development and formation of the student's personality based on design technology, or modeling). As the main tasks of organizing mathematics olympiads based on the technology of network interaction of educational organizations, the article discusses: increasing students' interest in mathematical disciplines, the formation of creative thinking, the development of the ability to solve non-standard problems, the dissemination of experience in using innovative models of organizing and holding mathematics olympiads. popularization of the Olympiad work among students and teachers of educational organizations of the Republic of North Ossetia-Alania.
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Sun, Ye, and Xinmiao Yang. "Investigation of commuting and non-commuting travel features for the popularization of public transportation system." International Journal of Computational Intelligence Systems 4, no. 6 (2011): 1307–18. http://dx.doi.org/10.1080/18756891.2011.9727880.
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Boggs, Paul T., and Jon W. Tolle. "Sequential Quadratic Programming." Acta Numerica 4 (January 1995): 1–51. http://dx.doi.org/10.1017/s0962492900002518.
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Since its popularization in the late 1970s, Sequential Quadratic Programming (SQP) has arguably become the most successful method for solving nonlinearly constrained optimization problems. As with most optimization methods, SQP is not a single algorithm, but rather a conceptual method from which numerous specific algorithms have evolved. Backed by a solid theoretical and computational foundation, both commercial and public-domain SQP algorithms have been developed and used to solve a remarkably large set of important practical problems. Recently large-scale versions have been devised and tested with promising results.
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Dourado, Jonas R., Jordão Natal de Oliveira Júnior, and Carlos D. Maciel. "Parallelism Strategies for Big Data Delayed Transfer Entropy Evaluation." Algorithms 12, no. 9 (2019): 190. http://dx.doi.org/10.3390/a12090190.
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Generated and collected data have been rising with the popularization of technologies such as Internet of Things, social media, and smartphone, leading big data term creation. One class of big data hidden information is causality. Among the tools to infer causal relationships, there is Delay Transfer Entropy (DTE); however, it has a high demanding processing power. Many approaches were proposed to overcome DTE performance issues such as GPU and FPGA implementations. Our study compared different parallel strategies to calculate DTE from big data series using a heterogeneous Beowulf cluster. Task Parallelism was significantly faster in comparison to Data Parallelism. With big data trend in sight, these results may enable bigger datasets analysis or better statistical evidence.
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Chen, Jeang-Kuo, and Wei-Zhe Lee. "An Introduction of NoSQL Databases Based on Their Categories and Application Industries." Algorithms 12, no. 5 (2019): 106. http://dx.doi.org/10.3390/a12050106.
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The popularization of big data makes the enterprise need to store more and more data. The data in the enterprise’s database must be accessed as fast as possible, but the Relational Database (RDB) has the speed limitation due to the join operation. Many enterprises have changed to use a NoSQL database, which can meet the requirement of fast data access. However, there are more than hundreds of NoSQL databases. It is important to select a suitable NoSQL database for a certain enterprise because this decision will affect the performance of the enterprise operations. In this paper, fifteen categories of NoSQL databases will be introduced to find out the characteristics of every category. Some principles and examples are proposed to choose an appropriate NoSQL database for different industries.
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Yan, Yeqing, Zhigang Chen, Jia Wu, and Leilei Wang. "An Effective Data Transmission Algorithm Based on Social Relationships in Opportunistic Mobile Social Networks." Algorithms 11, no. 8 (2018): 125. http://dx.doi.org/10.3390/a11080125.
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With the popularization of mobile communication equipment, human activities have an increasing impact on the structure of networks, and so the social characteristics of opportunistic networks become increasingly obvious. Opportunistic networks are increasingly used in social situations. However, existing routing algorithms are not suitable for opportunistic social networks, because traditional opportunistic network routing does not consider participation in human activities, which usually causes a high ratio of transmission delay and routing overhead. Therefore, this research proposes an effective data transmission algorithm based on social relationships (ESR), which considers the community characteristics of opportunistic mobile social networks. This work uses the idea of the faction to divide the nodes in the network into communities, reduces the number of inefficient nodes in the community, and performs another contraction of the structure. Simulation results show that the ESR algorithm, through community transmission, is not only faster and safer, but also has lower transmission delay and routing overhead compared with the spray and wait algorithm, SCR algorithm and the EMIST algorithm.
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Qin, Wanting, Jun Tang, Cong Lu, and Songyang Lao. "Trajectory prediction based on long short-term memory network and Kalman filter using hurricanes as an example." Computational Geosciences 25, no. 3 (2021): 1005–23. http://dx.doi.org/10.1007/s10596-021-10037-2.
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AbstractTrajectory data can objectively reflect the moving law of moving objects. Therefore, trajectory prediction has high application value. Hurricanes often cause incalculable losses of life and property, trajectory prediction can be an effective means to mitigate damage caused by hurricanes. With the popularization and wide application of artificial intelligence technology, from the perspective of machine learning, this paper trains a trajectory prediction model through historical trajectory data based on a long short-term memory (LSTM) network. An improved LSTM (ILSTM) trajectory prediction algorithm that improves the prediction of the simple LSTM is proposed, and the Kalman filter is used to filter the prediction results of the improved LSTM algorithm, which is called LSTM-KF. Through simulation experiments of Atlantic hurricane data from 1851 to 2016, compared to other LSTM and ILSTM algorithms, it is found that the LSTM-KF trajectory prediction algorithm has the lowest prediction error and the best prediction effect.
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Liu, Yu, Dong Cai, Chunxiang Guo, and Haizhen Huang. "Evolutionary Game of Government Subsidy Strategy for Prefabricated Buildings Based on Prospect Theory." Mathematical Problems in Engineering 2020 (November 27, 2020): 1–10. http://dx.doi.org/10.1155/2020/8863563.
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Based on the prospect theory, this paper establishes an evolutionary game model of government and construction units for the problem of poor subsidy construction of government-subsidized construction units and uses the replication dynamic equation to analyse the strategic choice of evolutionary games. The research shows that the evolutionary game system of the construction unit and the government cannot meet the government incentives, and the construction unit also adopts the stable state of the prefabricated building. In the long run, the government subsidy cannot determine whether or not the construction unit will adopt the prefabricated building, and it is the construction cost of the prefabricated building that determines. Therefore, the government's work should shift from subsidies to targeted incentives forconstruction units to reduce the cost of construction of prefabricated buildings. The unit levies an environmental tax and appropriately restricts the income from the traditional cast-in-place construction units, and, on the other hand, it increases the popularization of low-carbon and environmental protection of the fabricated buildings, so that more consumers can recognize the environmental benefits brought by the assembled buildings. It provides a reference for the government to promote the development of prefabricated buildings.
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Xu, Ran, and Weiqiang Zhang. "Improving Fairness for Distributed Interactive Applications in Software-Defined Networks." Mathematical Problems in Engineering 2020 (August 12, 2020): 1–10. http://dx.doi.org/10.1155/2020/5207105.
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With the popularization of distributed interactive applications (DIAs), for getting good interactive experience among participants, efficient and fair allocation of network resource should be considered. In software-defined networks, the presence of central controllers provides novel solution to deploy customizable routing for interactive applications, which allows fine-grained resource allocation for DIAs to achieve fairness among participants. But opportunities always come with challenges, the wide spread user locations often require distribution of controllers to meet the requirements of applications. Hence, the latency involved among participants is directly affected by the processing time of controllers. In this context, we address the DIAs’ fair resource provisioning problems on computing and links load with the objective of balancing the achievable request rate and fairness among multiple flows in SDN networks. We firstly formulate the problems as a combination of controller loading and routing optimization. Then, we propose proactive assignment controller algorithm based on deep learning and fairness path allocation algorithm to share the bottleneck links. Compared with the state-of-the-art greedy assignment algorithm and priority order allocating algorithm, the final result is proven to get better fairness on controller and link load among DIAs’ participants by trace driven simulation.
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Nam, Hyeon Woo. "Design of AI-based gamification platform for effective educational service using child behavior prediction/change." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 5 (2021): 286–92. http://dx.doi.org/10.17762/turcomat.v12i5.899.
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Due to the advancement of advanced technologies such as artificial intelligence, robots, autonomous vehicles, healthcare, virtual reality, augmented reality, etc. and the popularization of smartphones, it stimulates customer interest and leads voluntary participation in order to maximize interactive communication in all industries The gamification strategy incorporating games began to emerge. A representative field that generates results by easily introducing such a gamification strategy is the education industry that seeks to improve the educational effect by utilizing the elements of corporate marketing strategies and games such as challenge, competition, achievement, and reward. Recently, gamification research is being conducted to effectively apply AI and big data, the core technologies of the 4th industrial revolution in all industries. Gamification is actively forming markets in Europe and the US, and it can increase customer loyalty and productivity by applying various roles applied to games in other industries as well as serious games. The purpose of this study is to design and implement a gamification service platform based on artificial intelligence technology and operate the implemented system to expand the area where the gamification service applied to the existing marketing and consulting fields can be used. The designed gamification service platform can be applied to education services that increase learning efficiency by analyzing the predicted learning attitudes of trainees, and through successful research cases, it will be able to provide immersion effect to trainees and teaching method research to educators.
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Zhang, Mingju, Meng Yang, Pengfei Li, and Yunhao Gao. "Mechanical Behaviors of a Symmetrical Bolt Fasten Wedge Active Joint for Braced Excavations." Symmetry 12, no. 1 (2020): 140. http://dx.doi.org/10.3390/sym12010140.
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Joint-failure of steel tube bracing structures usually causes an excavation accident. A symmetrical bolt fasten wedge (BFW) active joint has been innovatively developed in this paper, which overcomes the shortcomings of the traditional steel wedge (SW) active joint. Three full-scale BFW active joint specimens were manufactured for field operation tests. The test results show that the proposed active joint had a good construction feasibility and a wide applicability. After the field operation tests, axial compression experiments were implemented. Meanwhile, a series of numerical simulations were performed. The numerical results agreed with that of the experiments. Both showed that the working principle and mechanical principle of the BFW active joint was reasonable and ingenious; it had outstanding mechanical properties. Overall, the BFW active joint had the advantages of structure and mechanical properties, and it is suitable for popularization and application.
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Li, Bo, Wenqing Ge, Qiang Li, Yujiao Li, and Cao Tan. "Gearshift Sensorless Control for Direct-Drive-Type AMT Based on Improved GA-BP Neural Network Algorithm." Mathematical Problems in Engineering 2020 (March 19, 2020): 1–13. http://dx.doi.org/10.1155/2020/6456410.
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The automated mechanical transmission (AMT) based on the electromagnetic linear driving device (EMLDD) has good potential for shift performance. However, the direct-drive shifting mechanism based on the displacement sensor is difficult to meet the compactness of the structure and control robustness in complex environment. Through analyzing the working principle of the electromagnetic linear driving device and features of sensorless control strategy, a new displacement prediction method based on the improved GA-BP neural network is proposed to replace the displacement sensor. With current, voltage, and input shaft speed of the electromagnetic linear driving device as input, displacement prediction is obtained by the GA-BP neural network with improved selection factor. Finally, the experiment validated the effectiveness of displacement prediction based on the improved GA-BP neural network of shift control. The results showed that prediction accuracy of the improved GA-BP neural network was greater than 96% under all shift working conditions. The average RMSE was reduced by 21.8%, absolute error of displacement prediction was controlled within ±0.5 mm, and average shift time was less than 0.18 s. In this paper, the BP neural network is applied to complex linear displacement prediction, which has important application and popularization value.
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Li, Zhelin, Lining Zhao, Xu Han, Mingyang Pan, and Feng-Jang Hwang. "Lightweight Ship Detection Methods Based on YOLOv3 and DenseNet." Mathematical Problems in Engineering 2020 (September 28, 2020): 1–10. http://dx.doi.org/10.1155/2020/4813183.
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Ship detection is one of the most important research contents of ship intelligent navigation and monitoring. As a supplement to classical navigational equipment such as radar and the Automatic Identification System (AIS), target detection based on computer vision and deep learning has become a new important method. A target detector called YOLOv3 has the advantages of detection speed and accuracy and meets the real-time requirements for ship detection. However, YOLOv3 has a large number of backbone network parameters and requires high hardware performance, which is not conducive to the popularization of applications. On the basis of YOLOv3, this paper proposes a lightweight ship detection model (LSDM) in which the backbone network is improved by using dense connection inspired from DenseNet, and the feature pyramid networks are improved by using spatial separation convolution to replace normal convolution. The two improvements reduce parameters and optimize the network structure greatly. The experimental results show that, with only one-third of parameters of YOLOv3, the LSDM has higher accuracy and speed for ship detection. In addition, the LSDM is simplified further by reducing the number of densely connected units to form a model called LSDM-tiny. The experimental results show that, LSDM-tiny has similar detection speed with YOLOv3-tiny, but has a lot higher accuracy.
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Xu, Xin, and Fenghu Liu. "Optimization of Online Education and Teaching Evaluation System Based on GA-BP Neural Network." Computational Intelligence and Neuroscience 2021 (August 12, 2021): 1–9. http://dx.doi.org/10.1155/2021/8785127.
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With the popularization and application of online education in the world, how to evaluate and analyze the classroom teaching effect through scientific methods has become one of the important teaching tasks in colleges. Based on this, this paper studies the application of the GA-BP neural network algorithm. Firstly, it gives a brief overview of the current situation of online education and GA-BP neural network algorithm. Secondly, through the investigation of the online education system in many aspects, it evaluates students’ online education classroom teaching quality from five aspects, and this paper proposes a more scientific online education classroom teaching quality evaluation optimization model and finally verifies the reliability of the online education teaching evaluation model through the practice in a university. The results show that the GA-BP neural network-based evaluation optimization model can effectively evaluate the online education in the process of analyzing the quality of online education classroom teaching of most professional students.
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Hu, Qihan, Xintao Deng, Xin Liu, Aiguo Wang, and Cuiwei Yang. "A Robust Beat-to-Beat Artifact Detection Algorithm for Pulse Wave." Mathematical Problems in Engineering 2020 (November 11, 2020): 1–8. http://dx.doi.org/10.1155/2020/5691805.
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With the rise of the concept of smart cities and healthcare, artificial intelligence helps people pay increasing attention to the health of themselves. People can wear a variety of wearable devices to monitor their physiological conditions. The pulse wave is a kind of physiological signal which is widely applied in the physiological monitoring system. However, the pulse wave is susceptible to artifacts, which prevents its popularization. In this work, we propose a novel beat-to-beat artifact detection algorithm, which performs pulse wave segmentation based on wavelet transform and then detects artifacts beat by beat based on the decision list. We verified our method on data acquired from different databases and compared with experts’ annotations. The segmentation algorithm achieved an accuracy of 96.13%. When it is applied to detect main peaks, the performance achieved an accuracy of 99.11%. After the previous segmentation algorithm, the artifact detection algorithm can detect beat-to-beat pulse waves and artifacts with an accuracy of 98.11%. The result indicated that the proposed method is robust for pulse waves of different patterns and could effectively detect the artifact without the complex algorithm. In summary, our proposed algorithm is capable of annotating pulse waves of various patterns and determining pulse wave quality. Since our method is developed and evaluated on the transmission-mode PPG data, it is more suitable for the devices and applications inside the hospitals instead of reflectance-mode PPG.
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Jianbo, Wang, and Xing Cao. "Factors Affecting the Evolution of Advanced Manufacturing Innovation Networks Based on Cloud Computing and Multiagent Simulation." Mathematical Problems in Engineering 2021 (March 16, 2021): 1–12. http://dx.doi.org/10.1155/2021/5557606.
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Facing the pressure of low-cost competition brought by the homogenization of commodities, the manufacturing industry seeks to survive by providing services. By providing outsourcing of value-added services to date, we are focusing on innovation in our business model. With the advancement of science and technology, manufacturing innovation is facing higher challenges, especially the popularization of the Internet, which makes the manufacturing industry have to move closer to new industries. Based on cloud computing, this paper conducts a multiagent simulation on the evolution factors of the innovation network of advanced manufacturing. This article takes three types of simulation subjects: evolutionary network, manufacturing (cluster), and innovation evolution system as the research objects. The factors affecting the evolution of the research are innovation resources, innovation opportunities, innovation desire, innovation pressure, relationship strength, network scale, and network scope. Network differences carry over variable indicators and analyze quantitative regression indicators and then build a research model. The research results show that the average conversion efficiency of the manufacturing industry (0.523) is significantly lower than the average R&D innovation efficiency (0.725), which to a certain extent indicates that the manufacturing industry still has weak links in the export conversion stage at the back end of the innovation value chain. Some of the companies may have problems such as low ability to transform scientific and technological achievements and insufficient export competitiveness of high-tech products, which to a large extent affects and restricts the improvement of manufacturing export transformation efficiency.
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Li, Huoyou, Jianshiun Hu, Jingwen Yu, Ning Yu, and Qingqiang Wu. "UFaceNet: Research on Multi-Task Face Recognition Algorithm Based on CNN." Algorithms 14, no. 9 (2021): 268. http://dx.doi.org/10.3390/a14090268.
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With the application of deep convolutional neural networks, the performance of computer vision tasks has been improved to a new level. The construction of a deeper and more complex network allows the face recognition algorithm to obtain a higher accuracy, However, the disadvantages of large computation and storage costs of neural networks limit the further popularization of the algorithm. To solve this problem, we have studied the unified and efficient neural network face recognition algorithm under the condition of a single camera; we propose that the complete face recognition process consists of four tasks: face detection, in vivo detection, keypoint detection, and face verification; combining the key algorithms of these four tasks, we propose a unified network model based on a deep separable convolutional structure—UFaceNet. The model uses multisource data to carry out multitask joint training and uses the keypoint detection results to aid the learning of other tasks. It further introduces the attention mechanism through feature level clipping and alignment to ensure the accuracy of the model, using the shared convolutional layer network among tasks to reduce model calculations amount and realize network acceleration. The learning goal of multi-tasking implicitly increases the amount of training data and different data distribution, making it easier to learn the characteristics with generalization. The experimental results show that the UFaceNet model is better than other models in terms of calculation amount and number of parameters with higher efficiency, and some potential areas to be used.
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Gao, Ronghai, Jiwen Zeng, and Lunzhi Deng. "Efficient Certificateless Anonymous Multi-Receiver Encryption Scheme without Bilinear Parings." Mathematical Problems in Engineering 2018 (July 24, 2018): 1–13. http://dx.doi.org/10.1155/2018/1486437.
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With the growing development of Internet technology and popularization of mobile devices, we easily access the Internet anytime and anywhere by mobile devices. It has brought great convenience for our lives. But it brought more challenges than traditional wired communication, such as confidentiality and privacy. In order to improve security and privacy protection in using mobile network, numerous multi-receiver identity-based encryption schemes have been proposed with bilinear pairing and probabilistic hap-to-point (HTP) function. To address the troubles of private key escrow in multi-receiver encryption scheme based on ID-PKC, recently, some certificateless anonymous multi-receiver encryption (CLAMRE) schemes are introduced. But previous CLAMRE schemes using the bilinear pairing are not suitable to mobile device because the use of bilinear pairing and probabilistic hash-to-point (HTP) function results in expensive operation costs in encryption or decryption. In this paper, we propose an efficient CLAMRE scheme using elliptic curve cryptography (ECC) without bilinear pairing and HTP hash function. Since our scheme does not use bilinear pairing and HTP operation during the encryption and decryption process, the proposed CLAMRE scheme has much less computation cost than the latest CLAMRE schemes. Performance analysis shows that runtime of our scheme is much less when the sender generates ciphertext, compared with existing schemes. Security analysis shows proposed CLAMRE scheme provides confidentiality of message and receiver anonymity under the random oracle model with the difficulties of decision Diffie-Hellman problem and against the adversaries defined in CL-PKC system.
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Torres Zúñiga, Vicente. "¿Por qué las bitácoras electrónicas (blogs) se usan poco para estudiar ciencias físico-matemáticas?" Edutec. Revista Electrónica de Tecnología Educativa, no. 29 (July 20, 2009): a120. http://dx.doi.org/10.21556/edutec.2009.29.452.
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A pesar que los blogs son una tecnología Web 2.0 versátil, económica y fácil de utilizar en una materia sobre ciencias y para popularizar temas científicos. Por su cuenta, los hispanohablantes utilizan muy poco estos sitos web para estudiar o reforzar materias de las áreas físico-matemáticas. Presentamos un estudio basado en encuestas, montadas en un blog estable y con buen prestigio, el cual cuenta con altos índices de audiencia. Mostramos el modelo de edad, genero y nacionalidad de los cibernautas, también demostramos el gran interés de los usuarios sobre temas científicos, observamos que el nivel de participación en las encuestas es similar al llamado modelo “90.9.1” que describen sitios web más robustos como la Wikipedia.AbstractBlogs are a versatile, cheap, and easy to handle Web 2.0 technology suitable to enhance classes and popularization of science. However, Spanish speakers, hardly apply the weblogs to study or complement a class in the physics, mathematics, or in related areas. This is demonstrated via a serial of pools that are attached in a stable and good-well-know blog, which present high rating in the audience. It is presented a model about the age, gender and nationality of normal readers, who present a remarkable interest in science themes. The participation statistics are in agreed with the called model “90:10:1”, the same model that describe websites more robust like Wikipedia.
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Chen, Yi, Yihua Yao, Qinfen Lu, Xiaoyan Huang, and Yunyue Ye. "Thermal modeling and analysis of double-sided water-cooled permanent magnet linear synchronous machines." COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering 35, no. 2 (2016): 695–712. http://dx.doi.org/10.1108/compel-12-2015-0443.
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Purpose – With the popularization of permanent magnet linear synchronous machines (PMLSMs) in recent years, the temperature rise has attracted increasingly attention since excessive heat generated in the windings could deteriorate the electromagnetic performance. In order to solve this problem, adopting water-cooled system is an effective method. The purpose of this paper is to investigate a 12-slot/11-pole (12S/11P) water-cooled double-sided PMLSM, which adopts the all teeth wound concentrated winding and shifted armature ends. Design/methodology/approach – Based on 2D finite element analysis (FEA), the thermal performances, such as temperature distribution, the optimization of water flow rate and the influence of demagnetization, are investigated under the condition of continuous duty. Then the maximum current density and average thrust force are calculated for PMLSMs with or without water-cooled system. Finally, the detailed comparison is made between single-sided PMLSM and double-sided PMLSM. Findings – With water-cooled system, the thermal performance of PMLSM can be improved, such as an efficient decrease of temperature rise, restriction of permanent magnet demagnetization and a dramatic increase of the maximum thrust force. It is found that the water flow rate has a significant impact on temperature rise, which can be optimized according to demands. Originality/value – Electromagnetic and thermal coupled analysis is proposed in this paper. It can approximately predict thermal performance and save the manual iteration time at the same time. This method also can provide as a reference of thermal analysis for other PMLSMs.
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Liu, Lei. "The Research of Highly Effective Wrestling Educational Model Based on Optimized Theory Technology." Journal of Computational and Theoretical Nanoscience 14, no. 1 (2017): 37–41. http://dx.doi.org/10.1166/jctn.2017.6120.
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Theoretical studies in Chinese-style wrestling teaching optimization can help to better explore the theory and practice of teaching Chinese Wrestling innovation, improve teaching quality, promote Chinese-style wrestling the popularization and development in colleges and universities. In this paper, optimization theory and optimized content and optimized implementation strategy in Chinese-style wrestling teaching have been studied in-depth analysis, which will not only help promote the development of Chinese-style wrestling teaching, also for other sports curriculum has a guiding role. In this article study the main application of optimization theory in teaching of prominent Chinese-style wrestling in normal college sports elective course, in the process of teaching, a further study needed in optimizing teaching content, teaching methods, teaching structure, teaching evaluation. In addition that, because of much to optimization subject in the Optimization Research in Teaching, so this paper mainly evaluate the effect on the curriculum, the attitude of learning and the effect of mastering the skills during the research process. Evaluation of the content is not comprehensive enough so in the future need to go further.
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Zhao, Liming, and Yanqing Chen. "Optimal Subsidies for Green Products: A Maximal Policy Benefit Perspective." Symmetry 11, no. 1 (2019): 63. http://dx.doi.org/10.3390/sym11010063.
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Replacing traditional products with green products has become a key way to achieve decoupling between economic development and environmental pollution. As an incentive mechanism, subsidies can be provided by a government to facilitate the popularization and acceptance of green products. Subsidies play a significant role in encouraging the development of green products. We explored the proper optimal subsidy mechanism for green products from the angle of maximizing the net policy return, which cannot only encourage the development of green products but also do not aggravate financial burden for the government. In order to explore the optimal subsidy level for green products from the perspective of net policy benefit maximization, this paper established the optimal subsidy principal-agent models and a numerical example was presented to verify the effectiveness of the model we constructed. The results show that improving investors’ preference and eliminating asymmetric information contribute to reduce subsidy cost savings. Additionally, improving consumer environmental awareness, promoting the development and application of green technology, and reducing market risk reduce subsidy costs. This article provides policymakers with an effective subsidy scheme to accelerate the development of green products and achieve sustainable development goals.
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Li, Chenming, Junchao Wang, Xinyi Ding, and Naiyin Zhang. "Acoustic Imaging Using the Built-In Sensors of a Smartphone." Symmetry 13, no. 6 (2021): 1065. http://dx.doi.org/10.3390/sym13061065.
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Thanks to the rapid development of the semiconductor industry, smartphones have become an indispensable part of our lives with their increasing computational power, 5G connection, multiple integrated sensors, etc. The boundary of the functionalities of a smartphone is beyond our imagination again and again as the new smartphone is introduced. In this work, we introduce an acoustic imaging algorithm by only using the built-in sensors of a smartphone without any external equipment. First, the speaker of the smartphone is used to emit sound waves with a specific frequency band. During the movement of the smartphone, the accelerometer collects acceleration data to reconstruct the trajectories of the movements, while the microphones receive the reflected waves. A microphone plus an accelerometer are able to partially replace the functionality of a microphone array and to become a symmetry-imitation system. After scanning, a series of algorithms are implemented to generate a heat map, which outlines the target object. Our algorithm demonstrates the feasibility of smartphone-based acoustic imaging with minimal equipment complexity and no additional cost, which is beneficial to the promotion and popularization of acoustic imaging technology in daily applications.
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Zhao, Han-Tao, Xin Zhao, and Liu-Yan Xin. "Cellular automaton model for three-lane urban road considering Internet of Vehicles lane." International Journal of Modern Physics C 31, no. 12 (2020): 2050179. http://dx.doi.org/10.1142/s012918312050179x.
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Although the technology of Internet of Vehicles (IoV) is developing rapidly, it will still take a long time to realize its overall popularization. Aimed at this transition phase, this paper proposes to set up an IoV lane on the urban road, which is specially designed for the connected vehicles, to provide a better driving environment for the connected vehicles. Considering the operation characteristics of traffic flow under traditional and IoV environment, this paper establishes a three-lane cellular automata model for urban road traffic flow considering IoV lane, modified on the basis of the Modified Comfortable Driving (MCD) model and symmetric two-lane cellular automata (STCA) model, and then takes simulation by MATLAB and makes analysis. The result shows that the setting of IoV lane can improve the velocity of networked vehicles to a great extent with no or just a bit decline in the ordinary vehicles’ speed, and it has a great effect on the mixture traffic flow, including the increase in both traffic volume and the average speed. What’s more, when the networking proportion is between 0.2 and 0.76, and the space occupation ranges from 0.18 to 0.56, the traffic benefit of IoV special lane can reach the best.
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Yang, Han, and Qing Yu. "An Adaptability Analysis of the Space-Vehicle Traffic State Estimation Model for Sparsely Distributed Observation Environment." Mathematical Problems in Engineering 2021 (January 22, 2021): 1–14. http://dx.doi.org/10.1155/2021/6692068.
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The autonomous driving has shown its enormous potential to become the new generation of transportation in the last decade. Based on the automated technology, vehicles can drive in a new form, vehicle platoon, which can significantly increase the efficiency of the road system and save road resources. The space-vehicle traffic state estimation model has shown its benefits in modeling autonomous vehicle platoon in nonpipeline corridors with on- and off-ramps in ideal observation environment. However, in the current initial stage of automated connected vehicles’ application, the observation environment is quite imperfect. Limited by financial and investment, traffic flow observation equipment is sparsely distributed on the road. How to adapt to the sparse observer layout is a critical issue in the current application of the space-time traffic state estimation, which is originally designed for the autonomous transportation. Therefore, this manuscript overviews the observation environment in practice and summarizes three key observation problems. This article designs 22 numerical experiments focusing on the three key issues and implements the space-time estimation model in different observation scenarios. Finally, the observation environment adaptability is analyzed in detail based on the experiment results. It is found that the accuracy of the estimation results can be improved with the highest efficiency under the premise of limited equipment input by reducing the observation interval to 1000 m and increasing the density of the observer to 1/km. For the road sections with relatively homogeneous traffic conditions, the layout of observation equipment can be relatively reduced to save the investment input. Also, the maintenance of observation equipment for the ramp with larger flow can be slowed down appropriately in limited equipment investment. This manuscript is of great practical significance to the popularization and application of connected automatic transportation.
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Yang, Xiao-Dong, Li-Kun Xiao, Chun-Lin Chen, and Cai-Fen Wang. "A Strong Designated Verifier Proxy Re-Signature Scheme for IoT Environments." Symmetry 10, no. 11 (2018): 580. http://dx.doi.org/10.3390/sym10110580.
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With the rapid popularization of the Internet of Things (IoT) in our daily lives, the communication security and identity privacy of IoT devices must be ensured. However, traditional authentication mechanisms utilized in IoT cannot completely ensure a user’s privacy when his/her messages are routed via an untrusted intermediate device. Strong designated-verifier proxy re-signature (SDVPRS) is a new cryptographic technology that combines the advantages of strong designated verifier signature and proxy re-signature. Therefore, SDVPRS is considered to be a better approach to maintain data integrity and protect the identity privacy of the signer in a resource-limited IoT device. Nevertheless, designing a secure SDVPRS scheme without random oracles is still a challenging task. In this paper, we mainly focus on such a construction by providing a new method. We first provide the formal definition of SDVPRS and its security model. Then, we present the first SDVPRS scheme, which is bidirectional, multi-use and non-transferable, and we prove its security under the standard complexity assumptions in the standard model. The analysis results show that our SDVPRS scheme can not only protect the privacy of the signer’s identity, but also provide non-delegatability for signature verification. We present an example of potential application to environmental monitoring systems using our SDVPRS scheme.
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Осадчий, В’ячеслав Володимирович, Наталія Валеріївна Валько, and Наталія Олександрівна Кушнір. "DESIGN OF THE EDUCATIONAL ENVIRONMENT FOR STEM-ORIENTED LEARNING." Information Technologies and Learning Tools 75, no. 1 (2020): 316–30. http://dx.doi.org/10.33407/itlt.v75i1.3213.
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The article examines the impact of market requirements on the educational system, technological development of society and changes in the economic development of the country. The main directions of changes in European educational policy and their formalization in the framework of competences have been reviewed. The considered practices of organizing educational space in Ukraine and other countries allowed determining the structure of the interaction of participants in the educational environment of STEM-oriented training: administrative and managerial component, cooperation between education and business structures, scientific and methodological support, technological factor, popularization and human factor. The article gives a definition of the educational environment of STEM-oriented learning. According to each of the points of this structure, the peculiarities of their implementation in Ukraine have been presented: steps to implementation at legislative level have been taken, a list of measures aimed at popularizing and supporting STEM-education has been developed, a way of the dissemination of these ideas has been outlined and the list of already existing developments and implementation practices has been made. The conditions required for the development of educational STEM-environment have been defined. The article presents the model of the educational environment of STEM-oriented learning developed at the STEM-school of Kherson State University. The description of the project activity of the teacher and students in the context of the creation of educational environment of STEM-oriented learning is given. Also, the article offers examples of interdisciplinary projects. Their implementation requires that the teacher have a good theoretical foundation in mathematics, physics, technology and programming.
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Yu, Fengmin, Liming Liu, Nanxiang Yu, Lianghao Ji, and Dong Qiu. "A Method of L1-Norm Principal Component Analysis for Functional Data." Symmetry 12, no. 1 (2020): 182. http://dx.doi.org/10.3390/sym12010182.
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Recently, with the popularization of intelligent terminals, research on intelligent big data has been paid more attention. Among these data, a kind of intelligent big data with functional characteristics, which is called functional data, has attracted attention. Functional data principal component analysis (FPCA), as an unsupervised machine learning method, plays a vital role in the analysis of functional data. FPCA is the primary step for functional data exploration, and the reliability of FPCA plays an important role in subsequent analysis. However, classical L2-norm functional data principal component analysis (L2-norm FPCA) is sensitive to outliers. Inspired by the multivariate data L1-norm principal component analysis methods, we propose an L1-norm functional data principal component analysis method (L1-norm FPCA). Because the proposed method utilizes L1-norm, the L1-norm FPCs are less sensitive to the outliers than L2-norm FPCs which are the characteristic functions of symmetric covariance operator. A corresponding algorithm for solving the L1-norm maximized optimization model is extended to functional data based on the idea of the multivariate data L1-norm principal component analysis method. Numerical experiments show that L1-norm FPCA proposed in this paper has a better robustness than L2-norm FPCA, and the reconstruction ability of the L1-norm principal component analysis to the original uncontaminated functional data is as good as that of the L2-norm principal component analysis.
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Xiao, Yutong, and Jia Wu. "Data Transmission and Management Based on Node Communication in Opportunistic Social Networks." Symmetry 12, no. 8 (2020): 1288. http://dx.doi.org/10.3390/sym12081288.
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Due to the rapid popularization of various short distance communication mobile devices, the use scenarios of opportunistic networks are increasing day by day. However, in opportunistic networks, because of the complexity of community structure, many methods lack of symmetry between application and theoretical research. Thus, the connection strength between nodes is different, and the degree of message diffusion is different. If the above factors cannot be accurately estimated and analyzed, and effective data forwarding and scheduling strategies cannot be formulated, the delivery ratio will be low, the delay will be relatively high, and the network overhead will be large. In light of improving symmetry problems in opportunistic networks, this paper establishes the message duplicate adaptive allocation and spray routing strategy (MDASRS) algorithm model, measures the connection strength between nodes through social pressure, and estimates the diffusion of current messages in the network through the probability of messages leaving the current node successfully, so as to develop the self-adaptive control replication transmission mode and achieve the effect of reducing the network burden and network overhead. This is done through experiments and comparison of social network algorithms, comparing the MDASRS with Epidemic, Spray and Wait, and EIMST algorithms. The experiment results showed that this method improves the cache utilization of nodes, reduces data transmission delay, and improves the network’s overall efficiency.
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Liu, Bowen, Zhenwei Wang, and Xiaoyong Zhong. "Particle Swarm Optimization Algorithm in Numerical Simulation of Saturated Rock Slope Slip." Mathematical Problems in Engineering 2021 (March 17, 2021): 1–11. http://dx.doi.org/10.1155/2021/6682659.
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With the continuous popularization and development of highway traffic in mountainous areas, the number of rock slopes is also increasing. In order to improve the stability of rock slope and reduce the harm caused by slope slip, this paper carries out numerical simulation of rock slope sliding based on particle swarm optimization algorithm. Firstly, this paper combines the differential evolution algorithm and simplex method to improve the global and local search ability of particle swarm optimization (PSO) algorithm and analyzes the performance of the algorithm. ABAQUS software is used to simulate rock slope sliding, the finite element method is used to analyze the stability of rock slope, and LS-DYNA program is used to simulate rockfall impact rock slope. During the numerical simulation, the improved algorithm is used to analyze all the data. Experimental data show that the improved PSO algorithm converges after nearly 100 iterations and the convergence speed and optimization accuracy are high. In the numerical simulation, the average failure probability of the left and right sides of the main section at the top, middle, and foot of the slope is 0.0820 and 0.0723, 0.0772 and 0.0492, and 0.0837 and 0.0677, respectively, indicating that the overall instability probability of the left side of the rock slope is higher than that of the right side. The rock slope with the same direction through joint is mainly affected by the joint at the toe of the slope, the rock slope with reverse through joint is mainly affected by the joint in the slope, and the sliding occurs from the middle to both ends. In addition, with the increase of the size and height of rockfall, the total energy of rock slope is also increasing, and the possibility and degree of rock slope sliding are higher. This shows that the improved particle swarm optimization algorithm can effectively analyze some factors affecting slope slip in numerical simulation of saturated rock slope slip.
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Tsibanyuk, O., and Yu Kurnyshev. "Features of postgraduate pedagogical education in Bukovina (physical education) of the first half of the twentieth century." Scientific Journal of National Pedagogical Dragomanov University. Series 15. Scientific and pedagogical problems of physical culture (physical culture and sports), no. 12(120) (December 25, 2019): 113–17. http://dx.doi.org/10.31392/npu-nc.series15.2019.12(120)19.23.
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Features of postgraduate pedagogical education of Bukovina in the field of physical education of the first half of the twentieth century. The need for highly qualified personnel both for the education system and for public organizations of the physical and sports orientation operating on the territory of the region became formed. In addition, a powerful system of legislative regulation for the training of specialists in the field of physical culture and sports, including gymnastics teachers, was created.
 Community societies that have worked productively in the region also needed professional staff. It was their lack that forced public activists to organize various forms of training of gymnastics teachers, general physical training instructors, fire-sich. In the capital of the region systematically held "gymnastics-fire" courses, in the popularization of which actively participated Bukovina press. But unification of all forms of professional development into a single state system, registration of the institution concerned and systematic activity became possible only in the 1940s.
 The author distinguishes forms of advanced training of the studied period: studying of advanced pedagogical experience, attending lessons, methodical recommendations, competitions, sports competitions. In the early 50's of the twentieth century. considerable attention was paid to physical education and military training: systematic Olympiads, competitions and expeditions, various sports competitions, military sports games, etc. were systematically conducted. In order to study the status of teaching subjects, Methodists of the Institute, along with lessons in Ukrainian language and literature, history, mathematics and geography, chemistry and biology, attended lessons and extracurricular activities in military training in 4 schools, physical education ‒ in 4 institutions, music ‒ in 4 institutions, music educational institutions.
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Xu, Wei, Yi Wan, Tian-Yu Zuo, and Xin-Mei Sha. "Research on Information Fusion for Machine Potential Fault Operation and Maintenance." Symmetry 12, no. 3 (2020): 375. http://dx.doi.org/10.3390/sym12030375.
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In recent years, the development of sensor technology in industry has profoundly changed the way of operation and management in manufacturing enterprises. Due to the popularization and promotion of sensors, the maintenance of machines on the production line are also changing from the subjective experience-based machine maintenance to objective data-driven maintenance decision-making. Therefore, more and more data decision model has been developed through AI technology and intelligence algorithms. Equally important, the information fusion between decision results, which got by data decision model, has also received widespread attention. Information fusion is performed on symmetric data structures. The asymmetric data under the symmetric structure leads to the difference in information fusion results. Therefore, fully considering the potential differences of asymmetric data under a symmetric structure is an important content of information fusion. In view of the above, this paper studies how to make information fusion between different decision results through the framework of D-S evidence theory and discusses the deficiency of D-S evidence theory in detail. Based on D-S evidence theory, then a comprehensive evidence method for information fusion is proposed in this paper. We illustrate the rationality and effectiveness of our method through analysis of experiment case. And, this method is applied to a real case from industry. Finally, the irrationality of the traditional D-S method in the comprehensive decision-making results of machine operation and maintenance was solved by our novel method.
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Poulson, Jack. "High-performance sampling of generic determinantal point processes." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 378, no. 2166 (2020): 20190059. http://dx.doi.org/10.1098/rsta.2019.0059.
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Determinantal point processes (DPPs) were introduced by Macchi (Macchi 1975 Adv. Appl. Probab. 7 , 83–122) as a model for repulsive (fermionic) particle distributions. But their recent popularization is largely due to their usefulness for encouraging diversity in the final stage of a recommender system (Kulesza & Taskar 2012 Found. Trends Mach. Learn. 5 , 123–286). The standard sampling scheme for finite DPPs is a spectral decomposition followed by an equivalent of a randomly diagonally pivoted Cholesky factorization of an orthogonal projection, which is only applicable to Hermitian kernels and has an expensive set-up cost. Researchers Launay et al. 2018 ( http://arxiv.org/abs/1802.08429 ); Chen & Zhang 2018 NeurIPS ( https://papers.nips.cc/paper/7805-fast-greedy-map-inference-for-determinantal-point-process-to-improve-recommendation-diversity.pdf ) have begun to connect DPP sampling to LDL H factorizations as a means of avoiding the initial spectral decomposition, but existing approaches have only outperformed the spectral decomposition approach in special circumstances, where the number of kept modes is a small percentage of the ground set size. This article proves that trivial modifications of LU and LDL H factorizations yield efficient direct sampling schemes for non-Hermitian and Hermitian DPP kernels, respectively. Furthermore, it is experimentally shown that even dynamically scheduled, shared-memory parallelizations of high-performance dense and sparse-direct factorizations can be trivially modified to yield DPP sampling schemes with essentially identical performance. The software developed as part of this research, Catamari ( hodgestar.com/catamari ) is released under the Mozilla Public License v.2.0. It contains header-only, C++14 plus OpenMP 4.0 implementations of dense and sparse-direct, Hermitian and non-Hermitian DPP samplers. This article is part of a discussion meeting issue ‘Numerical algorithms for high-performance computational science’.
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Santos, Guto Leoni, Patricia Takako Endo, Djamel Sadok, and Judith Kelner. "When 5G Meets Deep Learning: A Systematic Review." Algorithms 13, no. 9 (2020): 208. http://dx.doi.org/10.3390/a13090208.
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This last decade, the amount of data exchanged on the Internet increased by over a staggering factor of 100, and is expected to exceed well over the 500 exabytes by 2020. This phenomenon is mainly due to the evolution of high-speed broadband Internet and, more specifically, the popularization and wide spread use of smartphones and associated accessible data plans. Although 4G with its long-term evolution (LTE) technology is seen as a mature technology, there is continual improvement to its radio technology and architecture such as in the scope of the LTE Advanced standard, a major enhancement of LTE. However, for the long run, the next generation of telecommunication (5G) is considered and is gaining considerable momentum from both industry and researchers. In addition, with the deployment of the Internet of Things (IoT) applications, smart cities, vehicular networks, e-health systems, and Industry 4.0, a new plethora of 5G services has emerged with very diverging and technologically challenging design requirements. These include high mobile data volume per area, high number of devices connected per area, high data rates, longer battery life for low-power devices, and reduced end-to-end latency. Several technologies are being developed to meet these new requirements, and each of these technologies brings its own design issues and challenges. In this context, deep learning models could be seen as one of the main tools that can be used to process monitoring data and automate decisions. As these models are able to extract relevant features from raw data (images, texts, and other types of unstructured data), the integration between 5G and DL looks promising and one that requires exploring. As main contribution, this paper presents a systematic review about how DL is being applied to solve some 5G issues. Differently from the current literature, we examine data from the last decade and the works that address diverse 5G specific problems, such as physical medium state estimation, network traffic prediction, user device location prediction, self network management, among others. We also discuss the main research challenges when using deep learning models in 5G scenarios and identify several issues that deserve further consideration.
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Chen, Wu, Xin Tang, and Ting Mou. "Course design and teaching practice in STEAM education at distance via an interactive e-learning platform." Asian Association of Open Universities Journal 14, no. 2 (2019): 122–33. http://dx.doi.org/10.1108/aaouj-07-2019-0027.
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Purpose The purpose of this paper is to provide some references for teachers who use KidsProgram or other graphic programming tools platform for STEAM (science, technology, engineering, arts and mathematics) education at distance by game-based teaching. From the design of the STEAM class, teachers can know how to stimulate students’ interest in programming and cultivating their ability to innovate and solve practical problems more clearly with KidsProgram. Design/methodology/approach This paper will explain the teaching design from ten aspects and implement it in real class to see the result. The ten aspects are situations creation, knowledge popularization, raising problems, analyzing problems, concepts introduction, interface design, logic design, self-evaluation and mutual evaluation, teacher comments and extension and innovation. With the KidsProgram platform, this paper takes “The Missile Convey,” a sub-course of “Discovery Universe” as an example. Through the situation created by the teacher, students brainstorm the dangers that the earth may encounter in the universe and then learn relevant scientific knowledge. Next, students raise and analyze problems according to the situation under the guidance of the teacher. Through the interaction with teachers, students review the programming concepts and the usage of corresponding coding blocks needed for the project, like “random number.” They need to carry out interface design and logic design for the project, and complete the project. After that, the students use the self-evaluation form and the mutual evaluation form to modify and then show and share the projects to the in front of the class. After self-evaluation and peer evaluation, the teacher will make a final summary evaluation and make some suggestions for improvement. From the students’ programming productions and the interviews with them, the teaching result can be known. Findings With elaborate teaching design and appropriate teaching strategies, students can flexibly use multi-disciplinary knowledge of science, technology, engineering, art and mathematics to solve problems in the process of creation, which is conducive to the cultivation and improvement of students’ comprehensive quality on KidsProgram classroom, under the guidance of STEAM education. In other words, in this class, students need to use engineering thinking to plan the whole project based on the understanding of scientific principles, design interfaces with artistic ideas, use mathematical knowledge for logical operations, and gradually solve technical problems with the above knowledge or methods in a comprehensive way. Originality/value The KidsProgram is a leading graphical programming tool platform in China in recent years. It deeply reconstructs the concept of Scratch designed by MIT. Graphic programming, a method of programming by dragging and dropping blocks containing natural languages, is different from traditional code programming. In this paper, the visualized cases in the class will be demonstrated in the “interface design” and “logic design.” This paper designs a course in STEAM education at distance via KidsProgram, hoping to provide some reference for other research on teaching of graphical programming tools.
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Zhao, Yu, Shuping Du, Ran Li, and Hong Yue. "Automatic Recognition Method of Letter Images in English Self-Learning Based on Partial Differential Equation Method." Advances in Mathematical Physics 2021 (September 1, 2021): 1–13. http://dx.doi.org/10.1155/2021/1640501.
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According to the current situation of knowledge popularization, students simply rely on the knowledge learned in the classroom that is far from adapting to the development of modern society; so, every student needs to have the consciousness and ability of independent learning. The research of the English self-help learning system based on partial differential equation method comes into being with information network technology as the foundation for survival and development. The existing partial differential equation recognition models based on average curvature motion are all edge-based and need to use the external force defined by the image gradient to attract the zero level set (evolution curve) to move to the target edge and finally stay on the target edge. Therefore, it is difficult to obtain ideal results when extracting fuzzy or discrete boundaries (perceptual boundaries), and it is very sensitive to the selection of initial contour and noise. To solve this problem, this paper proposes a new recognition model of partial differential equations based on mean curvature motion. This overcomes some defects of existing edge models because it is region-based and does not require image gradient as a condition to stop evolution. The proposed model can avoid manual initial curve selection and allow stopping conditions to be set in the algorithm. In addition, in the numerical solution of partial differential equations, the existing model uses upwind difference scheme, and the semi-implicit additive operator separation method is adopted in this paper. Some other layers are added, and some hyperparameters are adjusted when the convolutional neural networks of inception PDEs are constructed by stacking the structure of inception PDEs. In the contrast experiment with the prototype, the software and hardware environment are the same, and the input is exactly the same. For the handwritten English alphabet data set, the variant structure can obtain more than 90% of the training accuracy and verification accuracy, which is better than the experimental accuracy of the prototype. In addition, because the inception PDE structure contains fewer parameters than the prototype, it is more computationally efficient and takes less training time per batch than the prototype.
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YANG, HE, WEIMIN CHENG, ZHEN LIU, WENDI WANG, DAWEI ZHAO, and WENZHI YANG. "STUDY ON THE DYNAMIC EVOLUTION LAW OF THE EFFECTIVE STRESS IN THE COAL SEAM WATER INFUSION PROCESS BASED ON FRACTAL THEORY." Fractals 28, no. 05 (2020): 2050086. http://dx.doi.org/10.1142/s0218348x20500863.
Full textAbstract:
The effect of the coal seam water infusion to reduce dust is directly related to the development degree of the coal structure under the action of the effective stress. Therefore, this paper first summarizes several basic effective-stress models and proposes the effective-stress model considering the capillary force. Thereafter, the nuclear magnetic resonance (NMR) experiment system high-voltage seepage module is used to achieve the saturation coal sample T[Formula: see text] and water infusion coal sample T2 test under different mechanical environments. And the fractal dimension was calculated based on the results of porosity and pore size test. Finally, the parameters were sequentially substituted into effective-stress models. The calculation results were compared and analyzed. The results show that the saturation levels of the irreducible fluid of Sample DLT and Sample XLZ are 92.93% and 93.66%, respectively, indicating that these samples are dense porous media structures. Meanwhile, the porosity test shows the overall porosity with the water infusion pressure and confining pressure changes being consistent with the conventional law; the partial porosity caused a slight fluctuation due to different sensitivities of different pores to stress. The effective stresses of the capillary force and the calculated effective stress of the body are closest to the fractal effective stress, so the difference between the two values is negligible due to the small capillary force, which indicates that during the high-pressure water infusion, the capillary force in the meso-structure hardly affects the mechanical environment. Based on the theoretical research results, this paper can provide a theoretical reference for the determination of water infusion parameters under different on-site mechanical environment during the process of coal seam water infusion, which is conducive to the popularization and application of this technology, thus, providing the scientific basis for safe mining of the deep coal seam and ensuring the safe and efficient production of mines.