The Development of College Ice Hockey in China: Leveraging the Success for Beijing 2022

After winning the right to host the 2022 Winter Olympics, ice hockey has become more popular in colleges in China. However, the challenges to college hockey’s development in China are not surprising as new markets tend to experience struggles due to the fluidity of logics (Thornton & Ocasio, 2008) and issues of establishing legitimacy (Deephouse & Suchman, 2008). Considering this, those hoping to establish new sport institutions within untapped contexts are burdened with the arduous task of simultaneously creating and maintaining institutional structures while working to establish legitimacy (Washington, 2004). In this study, we draw from the concept of institutional work to understand how Chinese collegiate administrations and other relevant stakeholders have created, built, and sustained the emergent ice hockey environment for universities in China. This inquiry was guided by the following research questions: what factors at various institutional levels influenced the development of college ice hockey in China? How did institutional leaders utilize Beijing 2022 Winter Olympics to leverage the development of college ice hockey? To answer these questions, we employed qualitative case study methodology. Primary data were collected through 18 semi-structured interviews with university faculty, student athletes, and administrative officials. Secondary data were collected via archived documents from numerous sources. Data analysis was consistent with the Gioia methodology, wherein we identified first-order concepts, second-order themes, and aggregate theoretical dimensions (Gioia, Corley, & Hamilton, 2012). Preliminary findings suggest the development of college ice hockey in China has framed the development model with opportunities and multiple resources. Organizing capability, the hockey infrastructure, and legitimating issues impacted the development of college ice hockey. The 2022 Winter Olympics is a good opportunity for developing college ice hockey and it is bringing in additional funding and support to college hockey teams and athletes. The development of college ice hockey in China always combines with nationalism, and some student athletes also represent the national team for China. In addition, youth ice hockey development in Beijing and Heilongjiang is providing ice hockey talents for the college hockey teams around China. College ice hockey in China was facing challenges in an environment from different institutional logic orders. This study provides insights into the relationship among the nationalism, Olympics, and the development of winter sport in college. Additionally, this research outlined how public and private actors may work to create new governance structures that may be seen as legitimate

Perceptual Generative Adversarial Networks for Small Object Detection

Detecting small objects is notoriously challenging due to their low resolution and noisy representation. Existing object detection pipelines usually detect small objects through learning representations of all the objects at multiple scales. However, the performance gain of such ad hoc architectures is usually limited to pay off the computational cost. In this work, we address the small object detection problem by developing a single architecture that internally lifts representations of small objects to "super-resolved" ones, achieving similar characteristics as large objects and thus more discriminative for detection. For this purpose, we propose a new Perceptual Generative Adversarial Network (Perceptual GAN) model that improves small object detection through narrowing representation difference of small objects from the large ones. Specifically, its generator learns to transfer perceived poor representations of the small objects to super-resolved ones that are similar enough to real large objects to fool a competing discriminator. Meanwhile its discriminator competes with the generator to identify the generated representation and imposes an additional perceptual requirement - generated representations of small objects must be beneficial for detection purpose - on the generator. Extensive evaluations on the challenging Tsinghua-Tencent 100K and the Caltech benchmark well demonstrate the superiority of Perceptual GAN in detecting small objects, including traffic signs and pedestrians, over well-established state-of-the-arts

A security transmission and storage solution about sensing image for blockchain in the internet of things

With the rapid development of the Internet of Things (IoT), the number of IoT devices has increased exponentially. Therefore, we have put forward higher security requirements for the management, transmission, and storage of massive IoT data. However, during the transmission process of IoT data, security issues, such as data theft and forgery, are prone to occur. In addition, most existing data storage solutions are centralized, i.e., data are stored and maintained by a centralized server. Once the server is maliciously attacked, the security of IoT data will be greatly threatened. In view of the above-mentioned security issues, a security transmission and storage solution is proposed about sensing image for blockchain in the IoT. Firstly, this solution intelligently senses user image information, and divides these sensed data into intelligent blocks. Secondly, different blocks of data are encrypted and transmitted securely through intelligent encryption algorithms. Finally, signature verification and storage are performed through an intelligent verification algorithm. Compared with the traditional IoT data transmission and centralized storage solution, our solution combines the IoT with the blockchain, making use of the advantages of blockchain decentralization, high reliability, and low cost to transfer and store users image information securely. Security analysis proves that the solution can resist theft attacks and ensure the security of user image information during transmission and storage

Analysis of Contact Surface Wear Performance of O-Ring Dynamic Seal Based on Archard Model

With the development of hydraulic system to high pressure gradually, the leakage risk of sealing system increases, and it is necessary to confirm the performance parameters of sealing structure through analysis and calculation. The traditional analysis of the friction and wear performance of the seal ring is limited to the amount of wear, and cannot describe the surface wear characteristics of the O-ring in detail. Based on the Archard model, this paper constructs a model to analyse and calculate the friction and wear performance of the dynamic seal structure through the material characteristics and operating parameters, analyses the friction and wear characteristics of the O-ring seal structure under different compression ratio, medium pressure, relative slip velocity and temperature, and summarizes the influence of each single variable on the wear characteristics of the dynamic seal structure. According to the analysis in this paper, the increase of medium pressure of 5 MPa will cause the wear concentration area of the contact surface to move to the back pressure side, and the overall wear will be reduced, but the increase of contact area will lead to the weakening of sealing effect. By the action of 15 MPa, when the compression ratio is between 5% and 10%, the change of cumulative wear rate and the wear rate of each node is small