Practical Vulnerability Analysis of Mouse Data According to Offensive Security Based on Machine Learning

Lee, Kyungroul; Ko, Hoon; Kim, Hyoungju; Lee, Sun-Young; Choi, Jun‐Ho

doi:10.1007/978-981-15-5859-7_50

Cited by 5 publications

(5 citation statements)

References 12 publications

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“…It is the further development of behaviorism after the development of cognitiveism, but its biggest difference from the cognitive theory of learning is that it emphasizes the initiative of learners; compared with the theory of behavior, the learning process is considered to be a qualitative change. Is an active construction process, rather than establishing a passive stimulus response model [ 16 , 17 ]?…”

Section: Proposed Methodsmentioning

confidence: 99%

Integration of Wearable Devices and English Teaching under Positive Psychology

Jin

2022

Computational Intelligence and Neuroscience

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Positive psychology, as a core subject to the study of people’s positive power and positive quality, is intended to cultivate positive personality traits and positive emotions, and to promote the development of inspiring creativity, cooperation, and interest. The study of positive psychology provides a new perspective for our research in the field of education. The “New Curriculum Standards for Junior Middle School English” clearly states: “Students can only maintain the inner driving force of English learning and achieve results only if they have positive emotions in English learning. Negative emotions will not only affect the effect of English learning, but also affect students’ long-term development. In English teaching, teachers should pay attention to students’ emotions from beginning to end, and strive to create a relaxed, democratic, and harmonious teaching atmosphere. Therefore, how to infiltrate the theory of positive psychology into the frontline English teaching of junior high school becomes especially important. With the advancement of science and technology and the advent of the Internet era, various high-tech information technologies have gradually flourished, and the rapid development of information technology has promoted the reform and innovation of the teaching industry. Wearable technology is the current trend and direction of the information technology revolution. It realizes the interconnection and deep integration of people, machines and objects through the functions of collecting, sorting and analyzing mobile Internet and cloud data. The realization of wearable technology-based wearable technology not only can highly integrate educational resources, improve learning interest, but also enhance the pertinence of teaching, cultivate students’ creativity, and realize personalized teaching in “full time, all-round, all fields.” This article explores the integration of wearable devices and junior high school English teaching in the context of positive psychology. First of all, this paper introduces the theoretical basis of the integration of wearable devices with English teaching. Secondly, it introduces the research methods of this paper. Finally, through questionnaires and experimental comparison analysis, it tests the interest of students in learning through the auxiliary teaching of wearable devices, and whether the academic performance has a positive effect.

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Section: Proposed Methodsmentioning

confidence: 99%

Integration of Wearable Devices and English Teaching under Positive Psychology

Jin

2022

Computational Intelligence and Neuroscience

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“…The data used for this algorithm test are the data of the instrument monophonic signal from FL Studio12. A total of 8 typical timbres from 4 categories of musical instruments are selected in the timbre library [ 23 ]. The specific content of the data is shown in Table 1 :…”

Section: Data Sources Of Timbre Feature Extraction Methods In Vocal S...mentioning

confidence: 99%

“…e data used for this algorithm test are the data of the instrument monophonic signal from FL Studio12. A total of 8 typical timbres from 4 categories of musical instruments are selected in the timbre library [23]. e specific content of the data is shown in Table 1: e timbre of the dataset consists of 4 categories, namely, keyboard instruments, percussion instruments, stringed instruments, and wind instruments.…”

Section: Data Sources Of Timbre Feature Extraction Methods In Vocal S...mentioning

confidence: 99%

Investigation on the Extraction Methods of Timbre Features in Vocal Singing Based on Machine Learning

Zang

2022

Computational Intelligence and Neuroscience

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With the continuous development of digital technology, music, as an important form of media, and its digital audio technology is also constantly developing, forcing the traditional music industry to start the road of digital transformation. What kind of method can be used to automatically retrieve music information effectively and quickly in vocal singing has become one of the current research topics that has attracted much attention. Aiming at this problem, it is of great research significance for the field of timbre feature recognition. With the in-depth research on timbre feature recognition, the research on timbre feature extraction by machine learning in vocal singing has also been gradually carried out, and its performance advantages are of great significance to solve the problem of automatic retrieval of music information. This paper aims to study the application of feature extraction algorithm based on machine learning in timbre feature extraction in vocal singing. Through the analysis and research of machine learning and feature extraction methods, it can be applied to the construction of timbre feature extraction algorithms to solve the problem of automatic retrieval of music information. This paper analyzed vocal singing, machine learning, and feature extraction, experimentally analyzed the performance of the method, and used related theoretical formulas to explain. The results have showed that the method for timbre feature extraction in the vocal singing environment was more accurate than the traditional method, the difference between the two was 24.27%, and the proportion of satisfied users was increased by 33%. It can be seen that this method can meet the needs of users for timbre feature extraction in the use of music software, and the work efficiency and user satisfaction are greatly improved.

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“…Constructivism believes that students' "acceptance" of knowledge can only be accomplished by their own construction. erefore, to find new growth points of knowledge in students' own experience, students should actively construct knowledge [28,29]. Times are developing, society is progressing, and knowledge is constantly being updated.…”

Section: E Eoretical Basis For the Application Of Mind Maps In Englis...mentioning

confidence: 99%

System Construction of Mind Map in English Vocabulary Teaching Based on Machine Learning Algorithm

Zhao

2022

Mobile Information Systems

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Mind map is an effective graphical thinking tool for expressing divergent thinking. It is a simple, yet effective and efficient, practical thinking tool. This paper aims to use machine learning algorithms to build a mind map system and apply it to English vocabulary teaching. This paper first introduces the classification of machine learning algorithms and then briefly expounds the overview of the mind map construction system. Finally, this paper integrates the mind map constructed by machine learning algorithms into English vocabulary teaching practice and compares it with the traditional teaching mode. The experimental results show that the accuracy rate of students’ vocabulary review and test under the vision of the English vocabulary teaching mode of the mind map constructed by the machine learning algorithm has reached 85%, which verifies the effectiveness of the method. Popularizing it in the current English vocabulary teaching can improve students’ interest and effect in learning vocabulary and has certain operability.

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Practical Vulnerability Analysis of Mouse Data According to Offensive Security Based on Machine Learning

Cited by 5 publications

References 12 publications

Integration of Wearable Devices and English Teaching under Positive Psychology

Integration of Wearable Devices and English Teaching under Positive Psychology

Investigation on the Extraction Methods of Timbre Features in Vocal Singing Based on Machine Learning

System Construction of Mind Map in English Vocabulary Teaching Based on Machine Learning Algorithm

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