Research on online teaching platform system based on microservice architecture

The traditional online teaching adopts the single architecture to develop and implement the system, which facilitates the data sharing and testing of the system. However, due to the increasing complexity of the system's business functions, the system based on monolithic architecture has become increasingly complex, its scalability has deteriorated, and its concurrency performance has decreased. Based on these problems, this paper puts forward combining microservice architecture and online teaching platform, using microservice architecture independent deployment, concurrent performance characteristics such as high technology selection and flexible, the complex business function is divided into several small service module, solve the challenges faced by the traditional system, at the same time improve the efficiency of the use of online teaching platform and students' learning autonomy, The system function design, architecture design, safety design and so on are expounded to build an efficient and perfect online teaching platform.

Modeling the Use of Online Knowledge Community: A Perspective of Needs-Affordances-Features

With the support of network information technology, the Online Knowledge Community (OKC) has emerged. Among different OKC applications, some entered into the new era of popular knowledge production, while others experienced the process to decline. In order to solve the dilemma faced by the OKC platforms, the needs-affordances-features (NAF) perspective on OKC is proposed by taking Zhihu, one of the most popular OKC applications in China as an example. According to NAF, the psychological needs of individuals motivate the use of Zhihu to the extent to which Zhihu offers affordances that satisfy the individuals’ needs. By collecting data through questionnaires and using SPSS and AMOS for data analysis, the relationship between individuals’ psychological needs and Zhihu affordances is identified. This paper generates two aspects of implications. In terms of theoretical implications, a more comprehensive framework is developed for the affordances of OKC as a whole, and the NAF model is leveraged to identify related psychological needs which motivate the use of a specific OKC application—Zhihu. Further research can leverage NAF to identify different OKC platform features which satisfy the psychological needs of their targeting users to optimize the system of OKC platforms. As for practical implications, by building the relationship between the affordances of OKC platforms and users’ psychological needs, marketers have to realize that although the digital platform system has a certain degree of imitability, the value positioning, user community, and core capabilities behind those platforms are all different. Thus, the platform system must also be differentiated. In order to determine the appropriate business model, a clear understanding of these organizational features should be identified.

The Use of Information Technology in the Construction of a Nursing Communication Platform System

In order to effectively connect patient care information and reduce the amount of administrative work, a nursing care communication platform can effectively achieve 1. Real-time display of patient information while protecting patient privacy; 2. Integration of hospital information system, with individualized medical care team information; 3. Accurate and timely delivery of need for patient report; 4. Increase of interaction between the patient’s family and staff and breakthrough from the limit of paper-based health education information.

A New Online and Offline Blended Teaching System of College English Based on Computer Internet Technology

Through the analysis and research of the multimedia teaching platform system based on computer Internet technology, this paper proposes constructing a network multimedia teaching platform system based on streaming transmission to realize the sharing of excellent teaching resources in colleges and universities and the development of education and teaching. The design and development of each module of the teaching platform are completed, and the realization technology of each module function is explained. We completed the design and implementation of some auxiliary functions of the teaching platform, including the system usage help module, resource search module, and online on-demand playback functions. After the experiment, we compare the changes of students’ English anxiety before and after the experiment and conduct interviews with them. The results show that the application of the Internet-based scaffolding teaching model in college English reading teaching can alleviate students’ English learning anxiety. Through interviews to understand students’ feedback and evaluation of the new teaching model, it was found that most students hold positive evaluations of the Internet-based scaffolding teaching model, believing that the new teaching model can stimulate students’ English learning enthusiasm and increase confidence in English learning.

Applying Gray Relational Analysis in the Evaluation of the Balance of Children with Intellectual Disability

In addition to intellectual performance, children with intellectual disability also seem to have lower performance than children without intellectual disability in terms of balance. Therefore, they often experience walking instability or fall due to imbalance, causing injuries. With regard to balance training courses provided by medical or special education personnel for children with intellectual disability, although there are subjective observation scales that describe their balance in a qualitative way, there are still few direct measurement methods that can provide personnel with the ability to evaluate the training results of an intervention program. The purpose of this study was to provide a method for evaluating the balance of children with intellectual disability to facilitate a general inspection or evaluation of balance before and after the implementation of various intervention programs that help movement development. In recent years, the force platform system has been widely used in the research of the elderly balance, yet the research on balance assessment tools applied to children is rare. This study used the objective, fast, and accurate characteristics of the force platform system to analyze the key points of the sit-to-stand movement and the movement balance parameters of children with intellectual disability and children without intellectual disability. Using the gray relational analysis (GRA) method, the time factors and weight factors from the average performance of children without intellectual disabilities was used as the analysis data. After analyzing the relevance between each participant and the target, a norm for evaluating the balance of children with intellectual disability was established. Hence, this valuable result can provide researchers, special education teachers, and related professionals with an effective and time-saving evaluation of the balance of children with intellectual disability.

Modeling the Empowerment Mechanism of Knowledge Collaboration from the Perspective of Platform Affordances

In the digital economy era, knowledge platforms have both the functions of knowledge collaboration and social media. At the same time, how to promote knowledge collaboration through platform empowerment is getting more and more attention. Since there are few types of research on how to realize the micromechanism of platform empowerment, the purpose of this paper is to take knowledge platforms as an example to study the conceptual system of platform affordances based on the social-technical perspective. Through the theoretical integration of technological empowerment and authorization empowerment, this paper provides new perspectives and future themes for explaining the platform empowerment mechanism of knowledge collaboration. As for the method, the deductive research approach is adopted in this paper. First, through the critical literature review, the gaps in platform empowerment research have been identified. Second, from the analysis of the characteristics of knowledge platforms such as Wukong Q&A and Zhihu, the relationship between platform affordances, platform organizational characteristics, and customer needs has been explored. In the final, according to knowledge platform characteristics, the conceptual system of platform affordances has been deduced. The result shows that through integrating organizational theory, knowledge management theory, and platform ecological viewpoints, the main components of the affordances of knowledge platforms have been summarized. In addition, the relevance of those components to the functions, interfaces and rules of the platform system has been illustrated, and the corresponding relationship between the affordances of the platform and the main components of authorization empowerment has been established. With regard to the implication of this study, it establishes the theoretical connection between technological empowerment and authorization empowerment and provides a more intuitive and operable method for platform empowerment of knowledge collaboration through the perspective of social-technical interaction. This paper emphasizes that starting from the mission of the platform, the stickiness of the platform can be enhanced by building platform affordances. In addition, extensive development ideas that purely pursue Internet traffic and capital need to be avoided, which is conducive to the high-quality development of knowledge platforms and the digital economy. Furthermore, this paper calls for more research on the affordances and empowerment mechanism of the platform to provide theoretical guidance for the highly unified practice of platform organizational characteristics, platform system characteristics, and target customer needs, so as to develop a more active and meaningful platform knowledge management field.

A Performance Prediction Method Based on Sliding Window Grey Neural Network for Inertial Platform

An inertial platform is the key component of a remote sensing system. During service, the performance of the inertial platform appears in degradation and accuracy reduction. For better maintenance, the inertial platform system is checked and maintained regularly. The performance change of an inertial platform can be evaluated by detection data. Due to limitations of detection conditions, inertial platform detection data belongs to small sample data. In this paper, in order to predict the performance of an inertial platform, a prediction model for an inertial platform is designed combining a sliding window, grey theory and neural network (SGMNN). The experiments results show that the SGMNN model performs best in predicting the inertial platform drift rate compared with other prediction models.

Stability Analysis of Position Datum for Real-Time GPS/BDS/INS Positioning in a Platform System with Multiple Moving Devices

The rapid development of unmanned aerial vehicles (UAVs) in recent years has promoted their application in various fields, such as precise agriculture, formation flight, etc. In these applications, the accurate and reliable real-time position and attitude determination between each moving device in the same platform system are the key issue for safe and effective cooperative works. In traditional ways, static reference stations should be set up near the platform to keep the stable position datum of the platform system. In this paper, we abandoned the static stations and expected to achieve stable position datums with the platform system itself. To achieve this goal, we proposed an improved method based on both the Global Positioning System (GPS)/Beidou Navigation Satellite System (BDS) data and the inertial navigation system (INS) data to obtain precise positions of the moving devices. The time-differenced carrier phase (TDCP) was used to get the position variations and update the positions over time, and then, the INS data was integrated to further improve the accuracy and reliability of the updated positions; thus, this method is denoted as the TDCP/INS method. To evaluate the performance of this method and compare it with the traditional single-point positioning (SPP) method and the Kalman filtered SPP (KFSPP) method, a field vehicle experiment was conducted, and the position results achieved from these three methods were compared with those from the tightly combined real-time kinematic positioning (RTK)/INS method, where centimeter-level accuracy was obtained and regarded as the reference. The quantitative analysis where the position variations were evaluated and the qualitative analysis where the vehicle trajectories in three typical urban driving scenarios were discussed were both made for the three methods. The numerical results showed that the accuracy of the position variations from the SPP, KSPP, and TDCP methods was at the meter level, while that from the TDCP/INS method improved to the centimeter level, and the accuracies were 1.9 cm, 2.9 cm, and 3.1 cm in the east, north, and upward directions. The trajectory results also demonstrated a perfect consistency of the driving positions between the TDCP/INS method and the reference. As a contrast, the trajectories from the SPP and KFSPP methods had frequent jumps or sways when the vehicle drove along a large, curved road, turned at a crossroad, and passed under an urban viaduct.