Live-Art: A Business Plan of a Start-up for Art Education and Art Collection

Live-Art is a start-up venture in New York City that combines online and offline art experiences, which blurs the boundaries between art education and art collection and organically integrates the two fields. Our philosophy is to inspire people to live with art and create their own art kingdom. By strengthening each individual’s engagement in the art world, we aim to improve our users’ art appreciation perception through art education and to encourage them to create an aesthetic atmosphere for their living environment through art collection. Traditionally, education is more focused on non-profit, while art collection is more on commercialized consumption. However, they are deeply connected and intertwined. From this, we hope that our digital learning on art education can guide users to generate passion for the art collection and correspondingly allow more art collectors to participate in art education programs to deepen aesthetic experiences. The company’s business mainly includes online digital products - the mobile application, and in-person art appreciation events as well as the art advisory service. We expect to build up a digital learning and interactive art collection community, aiming to accumulate more accurate target art collectors from the virtual platforms to the real-world art business. Our target user market is Chinese people living and working in New York City since New York has a natural artistic and cultural atmosphere where people have a greater demand for high-quality life with aesthetic experience. Our unique advantage lies in creating an efficient, flexible, hybrid, and social art learning experience. At present, most mobile applications in the American market detach art education, museum guide, and art collection features, setting a clear barrier between logical tools and emotional experiences. However, we both value digital user experience and aesthetic engagement in the real world, providing our users with a novel and effective learning and art-collecting experience. Users can learn, interact, find friends, and sign up to participate in art events on our digital platform, linking great activities between the real and virtual worlds. To create better content, we have an excellent team with many talents from various professional fields, including product development, art education, curriculum design, and art collection. All of our art events and art-related courses have solid academic and theoretical foundations. The collaboration of these elites will continuously improve our venture to optimize the problems from our customer feedback or of the same type of products in the market. Our pricing strategy is more economical than many museum membership plans in New York City, and the registration system for it is very flexible, allowing users to engage in or drop out anytime. In the initial stage of the company, our main capital came from the entrepreneurial partners, and we increased our income through the art activities carried out successively. Although project development will cost a lot of funding, the company estimates a first-year revenue of $800,000 and expects to be profitable after the first eight months of operations. Under the ideal conditions we predict, the company can start to achieve stable profits in the third year, increasingly expand the number of users, and form a strong social influence in the art market in New York City

Causal Discovery from Temporal Data: An Overview and New Perspectives

Temporal data, representing chronological observations of complex systems, has always been a typical data structure that can be widely generated by many domains, such as industry, medicine and finance. Analyzing this type of data is extremely valuable for various applications. Thus, different temporal data analysis tasks, eg, classification, clustering and prediction, have been proposed in the past decades. Among them, causal discovery, learning the causal relations from temporal data, is considered an interesting yet critical task and has attracted much research attention. Existing casual discovery works can be divided into two highly correlated categories according to whether the temporal data is calibrated, ie, multivariate time series casual discovery, and event sequence casual discovery. However, most previous surveys are only focused on the time series casual discovery and ignore the second category. In this paper, we specify the correlation between the two categories and provide a systematical overview of existing solutions. Furthermore, we provide public datasets, evaluation metrics and new perspectives for temporal data casual discovery.Comment: 52 pages, 6 figure

Study on Dynamic Characteristics of the Disc Spring System in Vibration Screen

To avoid too large exciting force in traditional linear vibrating screen and unstable working state in resonance screen, the disc spring system is applied in the linear vibration screen. The model of the disc spring system in vibration screen is established by simulation and experiment. The characteristics of modal and amplitude of the disc spring system in vibration screen are studied. We found that the disc spring system vibrates in vertical direction at the third-order natural frequency, which is consistent with the direction of the vibration screen when screening particles. Moreover, the third-order natural frequencies in simulation and experiment are basically consistent. Furthermore, the maximum amplitude of the disc spring system appears at 960 r/min (16 Hz), which is in accord with the third-order natural frequency. Meanwhile, the amplitude increases proportionally with the increase of exciting force, while the amplification factors are the same under three different exciting forces. This indicates that the disc spring system has excellent linearity. The results of research provide guidance for design and application of elastic components on the vibration screen

A Study on the Influence of Different Constraint Modes and Number of Disc Springs on the Dynamics of Disc Spring System

In this work, the influences of constraint modes and the number of disc springs on the dynamic characteristics of the disc spring system are studied by simulation and experiment. The amplitudes and amplification factors of the disc spring system under different constraint modes and different numbers of disc springs are obtained. The results show that the maximum amplitude and amplification factor both appear at the constraint modes of locking and no preloading, which indicates that the locking and no preloading is the best constraint mode among the four different constraint modes. Moreover, the amplitude of the disc spring system first increases and then decreases with the number of disc springs increasing, while the amplification factor increases with the number of disc springs increasing. The maximum amplification factor (10.21 in experiment) of the disc spring system appears at 10 disc springs. By studying the relationship between the number of disc springs and amplification factor and damping, we find that the damping of the disc spring system can be reduced by increasing the disc spring numbers, and thus, the corresponding amplification factor can be improved. Furthermore, as the number of disc spring increases, the height differences of disc springs before and after locking are all close to 3 mm, which indicates that the amount of locking compression in the assembly process has a good consistency when the number of disc springs changes. The aforementioned works can provide guidance for the industrial production in screen vibration