Reviewerly/exHarmony huggingface dataset:
A Preliminary Study on the Student Learning Evaluation Scheme of Hybrid Teaching Mode in Network Information Environment ―― Taking Business English as an Example

With the development of network technology and the improvement of information management level, information teaching has gradually penetrated into various colleges and universities. With the integration of various information teaching platforms, means and resources, the mixed teaching mode is more and more popular with teachers and students. This paper focuses on the course teaching based on Business English, and discusses the evaluation mechanism of students' learning effect from the aspects of evaluation subject, evaluation process, evaluation index and weight.
Design of UAV's Safe Obstacle Avoidance Trajectory Based on Point Cloud

The UAV has the various merits of high maneuverability, low cost, and no risk of casualties, therefore it has a wide range of applications in military and civilian fields. However, the autonomous obstacle avoidance technology of UAVs is not yet mature, and UAVs can only fly remotely within the visual range of personnel in the power transmission line inspection environment. This paper focuses on the three-dimensional environment perception and obstacle avoidance of UAVs in the environment of transmission lines and studies the autonomous sensing and obstacle avoidance methods of UAVs based on the point cloud. Meanwhile, the trajectory planning algorithm and UAV path tracking control method under the power transmission line is researched as well, and the autonomous navigation, guidance, and obstacle avoidance control of UAV are finally realized.
Certainty Driven Consistency Loss on Multi-Teacher Networks for Semi-Supervised Learning

One of the successful approaches in semi-supervised learning is based on the consistency regularization. Typically, a student model is trained to be consistent with teacher prediction for the inputs under different perturbations. To be successful, the prediction targets given by teacher should have good quality, otherwise the student can be misled by teacher. Unfortunately, existing methods do not assess the quality of the teacher targets. In this paper, we propose a novel Certainty-driven Consistency Loss (CCL) that exploits the predictive uncertainty in the consistency loss to let the student dynamically learn from reliable targets. Specifically, we propose two approaches, i.e. Filtering CCL and Temperature CCL to either filter out uncertain predictions or pay less attention on them in the consistency regularization. We further introduce a novel decoupled framework to encourage model difference. Experimental results on SVHN, CIFAR-10, and CIFAR-100 demonstrate the advantages of our method over a few existing methods.
The Research on the Cultivation of Innovation Capabilities Supported by Information Technology : A case study of "soil mechanics and foundation engineering" course

With the goal of cultivating innovation capabilities, the overall course design of the "Soil Mechanics and Foundation Engineering" is reconstructed supported by information technology, including four parts as teaching modules, methods, activities and objectives. After the course is reorganized, the concept of flipped teaching is introduced in the classroom explanation, focusing on the training of students' thinking style and scientific literacy, which processes can also be implemented by computer programs. The introduction of scene-based activities, in a problem-driven way, could promote the teaching process. Based on the granular characteristics of the studied objects in this course, some programs of discrete element method may be applied in experiment and design teaching. As a result, our national development strategy of innovation and entrepreneurship is implemented in professional teaching.
Research on the Reading System of Literary Works Based on Personalized Recommendation on Network

Relying on the Internet technology under the literary works are rapidly expanding, through the mobile phone check literary works are more and more popular, which network literary works read more. The provider of output literature works is faced with a dilemma and challenge, that is, how to let users quickly discover and attract their own works among the massive network literature works, and measures to solve this problem can be solved by relying on personalized recommendation technology.
The Use of Stereoscopic Display Technology under Human-computer Interaction in Navigation Simulator

To study the stereoscopic display technology and its specific implementation process in the human-computer interaction (HCI) simulation system, and enhance the sense of reality and immersion in the simulation training, in this exploration, using the digital modeling of virtual reality (VR) technology for stereoscopic display simulation is proposed. By using the corresponding relationship between virtual camera and human eye, the stereoscopic display system and human-computer interactive stereoscopic display navigation simulator system are designed. First, the stereoscopic display technology and principle are analyzed, and its specific way is explained. Then, the image processing process and image rendering process in the stereoscopic display system are studied. Moreover, the modeling process and interactive process in the human-computer interactive stereoscopic display system are explored. Finally, the stereoscopic display system and HCI are tested. The results show that the projection generated by off-axis model has no y-axis offset and no vertical parallax, and its field of view is the largest. When the distance between virtual cameras is 0.005, the fusion of two images is the most stereoscopic and realistic.
Research on the Transfer of Patented Technology in the UAV Field among Provinces Based on Social Network Analysis

The purpose of this paper is to collect patent transfer data from 2014 to 2018 in China's UAV (Unmanned Aerial Vehicle) field, build a patent transfer network, and analyze the current status of patent transfer in this field; based on the perspective of social networks, explore the current status of China's provinces in the UVA field and come up with the future suggestions for development. The significance of the paper is to understand the characteristics of the interprovincial transaction network structure. And also, the paper provides countermeasures for promoting technology trading among provinces. Results show that the number of transferred patents between provinces increases, but they mainly occur in Beijing, Guangdong, Zhejiang, Jiangsu, etc. Other provinces still have great potential in UAV field to be explored. The conclusion is that in the future we can encourage the core provinces in UAV field to transfer technology to those who are marginalized; technology-radiating provinces could establish research stations in technology-absorbing provinces in order to improve the harmonious development of both sides.
The Interactive Structure of The Virtual Reality Model under Kant's View

Virtual reality (VR), as the experience simulated by electronic system which is similar to or completely different from the real world, will hopefully achieve fully practical use in the near future. Virtual reality has the characteristics of multi-sensory, immersion, interactivity, imagination, and creates a brand-new model in human intercourse. The interactive structure of the virtual reality could be clarified in the theoretical background of Kant's philosophy. In Kant's Copernicus revolution on epistemology, the inner capabilities have been demonstrated to be the conditions for constituting the subject-object relationship, and thus Kant's theory provides the basic principle in interactive structure. Kant's theory has strongly promoted the understanding of virtual reality. The essential core of virtual reality, i.e. real virtual, must first be embodied as the inner abilities of human, and then the functional mechanism in virtual reality's interaction could be possible. Thus, through the analysis of Kant's epistemology and the inner capabilities in it, the interactive structure of the virtual reality will be revealed. In conclusion, Time and space act as the intuitional structure of virtual reality, categories act as the conceptual structure of virtual reality, transcendental imagination acts as the uniting structure of virtual reality.
Research on model component method based on OpenMI technology

Open Model Interface (OpenMI) technology can construct standardized components with unified timing interface and standardized data interaction. This provides a standardized method for integrating multiple models with different interfaces and functions. This paper briefly introduces the operation principle of OpenMI technology and the process of model standardization, and describes the seven key steps of model transplantation by taking the one-dimensional hydraulic model of the Yellow River as an example.
Evaluation and analysis of college students' physical education relying on the algorithm of emergent words detection

With the continuous improvement of physical education reform, attention should be paid to the evaluation of students' satisfaction with the quality of physical education and the establishment of a physical education quality evaluation system. This paper relies on the detection algorithm of emergent words, adopts the method of investigation and analysis, obtains the four main factors that affect the evaluation results of the classroom teaching quality of college physical education teachers, and conducts impact analysis, aiming to provide a reference for the evaluation of college physical education quality.
Research on the Cultivation of the Core Competences and Values of Information Technology for Normal School Students Based on Maker Education

With the advent of Education Information 2.0, the era puts forward new requirements for normal school students' information technology capabilities. This paper explores the cultivation of the core competences and values of the information technology of normal school students amid the big data, proposes a teaching strategy based on maker training and carries out the implementation of computer network-assisted teaching, and verifies the effectiveness of teaching strategy by analyzing the effect of the core competences and values of the student's work and deepening the curriculum reform in the information age.
Analysis on the Connection Between Nonplayer Character And Artificial Intelligence

Over the years, Video games have developed rapidly and international game events have attracted widespread attention. As artificial intelligence enters various fields, especially in the field of gaming applications, it brings people a better entertainment experience. In games, nonplayer characters not only assume the role of function, but also an important way for game designers to interact with players. This article analyzes the connection between non-player characters and artificial intelligence. The author believes that artificial intelligence learn independently when human players communicate, it is very possible to create a “real person” in the game.
Continuity of General Training of Future Teachers and Academics in the Context of a Three-level System of Education

The author has analyzed the term ‘general teachers’ training’ in modern scientific discourse. Peculiarities of general training of future teachers and academics in the context of a three-level system of higher education (Bachelor’s course, Master’s course and post-graduate course) have been disclosed. The researcher has substantiated the need for contiguity of general training of future teachers, Master’s students and postgraduate students who have teaching as their major. The ways, the content and the peculiarities of the methodological support for providing contiguity of general training of future teachers and academics at university have been described. General teachers’ training of future specialists in the field of education (bachelor's, master's, postgraduate) should provide conceptual-target continuity; content and information continuity, technological and activity continuity.
Application Research of Intention Recognition and Semantic Slot Filling Combined Model in Electric Power Customer Service

The development of artificial intelligence technology is changing with each passing day, intelligent voice technology has been applied in more and more industries and scenarios. In the human-machine dialogue system, the natural language understanding module is responsible for converting the natural language text input by the user into a structured semantic representation that is convenient for machine understanding and calculation. This paper studies the construction of a joint model of intention recognition and slot filling in Natural Language Understanding (NLU) in a human-machine dialogue system and conducts an application experiment on the performance of the existing model in a laboratory environment. The experimental reveals the traditional single model is combined. The model has a better effect on the understanding of interactive information, hierarchical information and contextual information.
Application of text clustering in automatic scoring of College English composition

Writing is an important way to measure the examinees' language knowledge and word organization ability in large-scale language examination. However, the method based on manual scoring has the disadvantages of consuming huge manpower, material and financial resources, strong subjectivity and large error in scoring. In this paper, through the algorithm modeling, clear clustering steps, feature vector extraction, clustering calculation, empirical analysis and other steps, the analysis shows that in the case of College Students' English composition is not completely off topic, text clustering algorithm can well identify the degree of composition in line with the meaning of the topic, and through the establishment of threshold value, teachers can set the judgment authority of the algorithm, which can solve the problem of manual work to improve the accuracy of College English automatic scoring.
Online Teaching Quality Analysis

With the rapid development of information technology, especially from the Internet to the mobile Internet, the way of life, work and learning across time and space has been created, and the way of knowledge acquisition has undergone fundamental changes. Accordingly, the proportion of online teaching is increasing, especially during the epidemic, almost all students participate in online learning. But for many teachers, online teaching is a new thing, and the quality of teaching is not high. Compared with the traditional teaching methods, online teaching has its own characteristics and rules. This paper analyzes the present situation of online teaching quality, discusses its advantages and disadvantages, and puts forward some suggestions to improve the teaching quality.
VAULT: VAriable Unified Long Text Representation for Machine Reading Comprehension

Existing models on Machine Reading Comprehension (MRC) require complex model architecture for effectively modeling long texts with paragraph representation and classification, thereby making inference computationally inefficient for production use. In this work, we propose VAULT: a light-weight and parallel-efficient paragraph representation for MRC based on contextualized representation from long document input, trained using a new Gaussian distribution-based objective that pays close attention to the partially correct instances that are close to the ground-truth. We validate our VAULT architecture showing experimental results on two benchmark MRC datasets that require long context modeling; one Wikipedia-based (Natural Questions (NQ)) and the other on TechNotes (TechQA). VAULT can achieve comparable performance on NQ with a state-of-the-art (SOTA) complex document modeling approach while being 16 times faster, demonstrating the efficiency of our proposed model. We also demonstrate that our model can also be effectively adapted to a completely different domain -- TechQA -- with large improvement over a model fine-tuned on a previously published large PLM.
Interdisciplinarity as form of fundamentalisation of higher art education: faceted approach

The interdisciplinarity of art education lies in the universality of the influence of art on all human cognitive processes and the ability to embody artistically any theme and plot that excites a person — an artist and a recipient. The origins of interdisciplinarity as a scientific paradigm are involved in the theory of communication. Interdisciplinarity is based on scientific semantics: interdisciplinarity plays a syntactic role, on the one hand, and, on the other hand, it helps to build semantic connections in schemes and transitions between different subject areas. A promising strategic direction is to increase the cultural intensity of all disciplines. Simplified practical use of art as an illustration, “figurative confirmation” of life phenomena ignores its high purpose. Practitioners pay attention to the use of interactive teaching methods: discussion, round table, method of projects, synectics, inversion, etc. In the implementation of research projects of students, we use phenomenological dialogue / polylogue. The use of this method creates conditions for analysis, reflection and self-assessment of students in the organization of their educational activities. The facet approach is an important area of modernization of the university and corresponds to the innovative nature of science. The transition from interdisciplinary integration in the classroom to interdisciplinary integration with project forms of education is the main condition for building an innovative model for the development of art education.
Research on Path Planning and Simulation of Intelligent Logistics Vehicle Based on Improved EKF-SALM Algorithm

The traditional algorithm of Simultaneous Localization and Mapping (SLAM) based on Extended Kalman Filter (EKF) has two problems. The local linearization method adopted by the traditional EKF causes cumulative errors. The SLAM algorithm is vulnerable to external environment interference. In this paper, an improved EKF-SALM algorithm based on error correction factor is proposed and applied to the path planning of intelligent logistics vehicles. The algorithm focuses on the errors between the predicted values and the observed values of landmark feature points. When any error exceeds the preset threshold value, the prior estimation error covariance will be adjusted through the error correction factor in order to make quick corrections to the error. Simulation results show that the algorithm can effectively improve the accuracy of both vehicle positioning and map building.
Digital learning of art theory

The purpose of the paper is to substantiate of the pedagogical design of digital education of future art teachers, in particular, the study of art theory in a virtual art class. The essence of the author’s concept is manifested in the metadialogue (oscillation) of two approaches: cluster (focused on statistical visualization of neural a network of genre-style signs outside the spiritual context, i.e. on the “wealth of art”) and semasiological (focused on the anthropological interpretation of these genre-style signs as icons, indexes and symbols, i.e. “wealth of understanding of art”). The proposed project is based on the concept of research-oriented professional education (Inquiry Based Science Education) and technology of advanced learning (Technology Enhanced Learning), which provide bachelors with many opportunities to conduct art research as a performance. The organisation of the design environment of the virtual art class involves non-linear scaffolding in the process of remote virtual experiments on the portal Go-Lab (“Search Facility”, “Inquiry Spaces”, “Related Labs” or the link “Online Labs”); GRAASP environment for the implementation of author’s developments and pedagogically structured programs in the process of performative interaction between teacher and students. The systematic thinking and methodology of the proposed project — the methodology of performative action — implements the phenomenological-hermeneutic method of coherent modeling and expert evaluation of the theory of conceptual integration, connective theory of metaphorical interpretation,the concept of nonlinear epistemology, synthesis, principles of antinomy. The advantage of digital learning in creatively integrated art theory is that in the computer space the student feels unprecedented freedom of creativity and gets unique opportunities for performative action. Thus, the understanding of the causality of historical changes in the theory of art is the result of a performative act, in particular in the laboratory of errors. This requires the introduction of nonlinear logic of functional and meaningful expansion of artistic didactics, implementation of computational visualization technologies, network analysis, thematic intermedia modeling. The visualised results of the study demonstrated the successful integration of performative methodology of cognition as artistic creativity in the process of professional training of future art teachers.
Research on the development and construction of English teaching resources system against the background of "The Belt and Road initiative"

With the rapid advancement of the process of global integration, China's development situation has also changed greatly. Against this background, "The Belt and Road initiative" has been implemented in China, which has played an important role in promoting its own development and enhancing international influence. Under the new background, it is urgent for the society to cultivate and export English talents with more solid language skills, higher sensitivity to foreign cultures, more communication awareness and audio-visual communication skills. Under the background of "The Belt and Road initiative", this paper analyzes the necessity of English teaching resources construction, and summarizes the problems of the development of English teaching resources in the past, and puts forward suggestions for teaching resources development from the aspects of development strategy, development process, resource evaluation and auxiliary resources development.
Design and Implementation of Targeted Person Holographic Archive System based on Apriori Algorithm

With the popularization of big data, public security organs are facing problems such as incomplete information collection, difficulty in fusion of multi-source heterogeneous data, and poor data association collected by front-end sensing devices in the management and control of targeted person. Combining the current situation and needs of public security management, this paper analyzes the targeted person's full-element information based on the Apriori association rule algorithm to conduct frequent item mining on the targeted person's attribute characteristics and behavior characteristics, which can effectively identify the abnormal behavior of targeted person and obtain deduction information, and finally implements a holographic archive system based on JavaEE design that can completely describe the targeted person. Its main functions include add files, file details, advanced search, “my focus”, “my supplement” and “my search”. After testing, the various functions of the system are operating well, which is conducive to the public security organs in real-time grasp of targeted person's basic information, social information, behavior information and other full-element information.