GO-E-MON: A New Online Platform for Decentralized Cognitive Science

Advances in web technology and the widespread use of smartphones and PCs have proven that it is possible to optimize various services using personal data, such as location information and search history. While considerations of personal privacy and legal aspects lead to situations where data are monopolized by individual services and companies, a replication crisis has been pointed out for the data of laboratory experiments, which is challenging to solve given the difficulty of data distribution. To ensure distribution of experimental data while guaranteeing security, an online experiment platform can be a game changer. Current online experiment platforms have not yet considered improving data distribution, and it is currently difficult to use the data obtained from one experiment for other purposes. In addition, various devices such as activity meters and consumer-grade electroencephalography meters are emerging, and if a platform that collects data from such devices and tasks online is to be realized, the platform will hold a large amount of sensitive data, making it even more important to ensure security. We propose GO-E-MON, a service that combines an online experimental environment with a distributed personal data store (PDS), and explain how GO-E-MON can realize the reuse of experimental data with the subject’s consent by connecting to a distributed PDS. We report the results of the experiment in a groupwork lecture for university students to verify whether this method works. By building an online experiment environment integrated with a distributed PDS, we present the possibility of integrating multiple experiments performed by different experimenters—with the consent of individual subjects—while solving the security issues.

Experimental Teaching of Information Security Based on Virtual Simulation

In information security technology, virtual simulation technology has been applied in many fields, and its value has been proven and has attracted people’s attention. Especially today, as a new type of computer model, virtual simulation covers the Internet and plays an important role in the information security research of big data platforms. This thesis aims to study and solve the problem of lack of experimental environment for information security technology in schools and to bring new teaching methods to the experimental teaching of information security technology in schools. At the same time, it emphasizes the teaching characteristics of the platform based on technology implementation and combines the cognition of high school students in the design and implementation of the platform. After understanding the main points, a research teaching design was carried out, which made up for the current virtual simulation experiment platform that pays attention to technology but despises teaching design. As a result of the empirical analysis, the virtual experiment simulation platform can solve the problems in the school’s information security technology experiment teaching, increase students’ interest in information security technology, and achieve the educational goal of cultivating students’ independent innovation spirit and practical ability. From 2014 to 2016, the Ministry of Education started the construction of virtual simulation information security experiment teaching. Currently, 290 virtual simulation information security experiment teaching has been implemented and distributed in 26 provinces and cities, of which 199 are engineering, 81 are finance, and 10 are education.

Cultivation of Students’ Painting Appreciation Ability Based on Virtual Reality

The advent of the digital age has had a profound impact on people’s lives, and therefore began to add virtual reality content to the art classes of school students, aiming to continuously adapt to the needs of the times for art classes and aesthetics. In order to explore the status quo of the virtual reality technology based on the modern boom in the students’ appreciation of painting ability, In this paper, literature analysis, collect data from the old model model reconstruction method and questionnaire, analyze the effect of virtual reality technology for students to appreciate the impact of, simplifies the algorithm. And create appreciation for the culture of virtual experiment platform. In studying the impact of virtual reality technology on appreciating ability, 25% of boys are selected and 75% of girls are selected. 85% of the people who own personal computers conducted experiments, and the results showed that 60% of students log in for 1.5-4 hours, 19% of students log in for 4-9 hours, and 15% of students log in for 9-14 hours. The number of students who log in for more than 14 hours only accounts for 6%. Frequent participation in the appreciation ability through the network model is significantly different from the general painting course appreciation ability, and the performance is extremely significant. In addition, the students’ overall affirmation level of information ability is 4.0, which is significantly higher than the even value of the 5.0 scale, which shows that the improvement of college students’ painting appreciation ability through the network virtual platform is huge. It is basically realized that starting from the acquisition and processing of virtual platform information, a virtual platform model that has a substantial improvement in students’ appreciative ability is designed.

An empirical behavioral order-driven model with price limit rules

We propose an empirical behavioral order-driven (EBOD) model with price limit rules, which consists of an order placement process and an order cancellation process. All the ingredients of the model are determined based on the empirical microscopic regularities in the order flows of stocks traded on the Shenzhen Stock Exchange. The model can reproduce the main stylized facts in real markets. Computational experiments unveil that asymmetric setting of price limits will cause the stock price to diverge exponentially when the up price limit is higher than the down price limit and to vanish vice versa. We also find that asymmetric price limits have little influence on the correlation structure of the return series and the volatility series, but cause remarkable changes in the average returns and the tail exponents of returns. Our EBOD model provides a suitable computational experiment platform for academics, market participants, and policy makers.

Application of near-infrared spectroscopy technology in the complex fermentation system to achieve high-efficiency production

The fermentation process is dynamically changing, and the metabolic status can be grasped through real-time monitoring of environmental parameters. In this study, a real-time and on-line monitoring experiment platform for substrates and products detection was developed based on non-contact type near-infrared (NIR) spectroscopy technology. The prediction models for monitoring the fermentation process of lactic acid, sophorolipids (SLs) and sodium gluconate (SG) were established based on partial least-squares regression and internal cross-validation methods. Through fermentation verification, the accuracy and precision of the NIR model for the complex fermentation environments, different rheological properties (uniform system and multi-phase inhomogeneous system) and different parameter types (substrate, product and nutrients) have good applicability, and R2 was greater than 0.98, exhibiting a good linear relationship. The root mean square error of prediction shows that the model has high credibility. Through the control of appropriate glucose concentration in SG fermentation as well as glucose and oil concentrations SLs fermentation by NIR model, the titers of SG and SLs were increased to 11.8% and 26.8%, respectively. Although high cost of NIR spectrometer is a key issue for its wide application in an industrial scale. This work provides a basis for the application of NIR spectroscopy in complex fermentation systems.

Study on screening performance and parameter optimization of vibrating-dewatering screen

In this paper, the dewatering and screening process of vibrating-dewatering screen is studied by the combination of simulation test and physical experiment. The simulation model of dewatering screening process is established by the method of computational fluid dynamics (CFD) and discrete element method (DEM). Subsequently, the screening efficiency and processing efficiency are defined as evaluating indexes for performance of dewatering and screening. Four parameters of amplitude, vibration frequency, vibrating direction angle and slope angle of screen surface are selected for single factor simulation test, and the variation of dewatering and screening performance under different parameters is obtained. Finally, the reliability of the simulation results is verified by the physical experiment platform, and significant factors affecting the evaluation index of the vibrating-dewatering screen parameters and the optimal parameter combination are obtained by orthogonal test.