Data monitoring and sports injury prediction model based on embedded system and machine learning algorithm

Managing sports performance is very important in the sports industry. Performance, the executives, centers on boosting competitor execution and decreasing the danger of injury. Several factors contribute to these goals, including player health, emotional status, exercise load and physical intensity requirements. Generally speaking, injury prediction is an essential component of injury prevention, and successful identification of injury prediction is a primary indicator for effective prevention. The proposed Artificial Neural Network (ANN) objective is to develop and use early-doing ability and exercise load data to validate a hierarchical machine learning prediction system with accurate detection of player injuries. The physical and workload that requires detection of this early personalized damage can be avoided with specific help. The framework is used to test 21 soccer players’ sports information from various sources, including gathered and inside burden information, outside burden information, and review information. The entirety of this information is fused into the proposed framework to improve the exactness of harm expectation. This calculation distinguishes competitors in danger of injury, with their early intervention available.     

Research on clothing design based on 5G network and FPGA

Mobile phone technology is thought to have developed in huge demand in the next few years, it exists. 5 G and related techniques, better data transmission rates, improved productivity, low latency, and high-quality services such as a number of major goals, can be solved. To analyze the cultural characteristics of the performance, explaining the characteristics of thinking of positioning principles and modern clothing brand. From the perspective of expressionism and print advertising, literary support, case studies and image analysis, Self-Organizing Map (SOM) network training analysis, summarizing the relationship with the method of painting, the influence of expressionism Conceptual picture summaries, modes, compositions and colors are represented in recent international clothing brand print advertisements. Evaluated and suitable for communication methods such as discontinuous carrier aggregation, centralized processing, and 5 G waveform coexistence Field Programmable Gate Array (FPGA) baseband processing architecture. Cost-effectiveness, and support for5G waveform candidates. Design details, key technologies, and how to actually implement a smart clothing system. A typical application for smart clothing. It still highlights some design challenges and open issues that need to be addressed to make smart clothes for a wide range of applications.     

运动营养食品及其功能性成分研究进展

为减轻运动损伤、促进运动恢复、提高运动成绩,以补充身体能量、缓解运动疲劳为主要目的的运动营养食品备受关注,成为真正实现健康生活方式一个不可缺少的方面。本文系统综述了国内外运动营养食品及功能成分研究进展,最后对其发展前景作出展望,为公众了解运动营养食品知识提供有益帮助,以期为运动营养食品行业长线研发投资、体育运动产业发展提供理论支持与引导。     

Medical image detection and azithromycin in the treatment of pelvic inflammation based on intelligent hospital system

The pelvic infection and people genital tract inflammation, infertility, chronic pain, and reasons for detecting ectopic pregnancy. Diagnostic and management challenges, from different signs and symptoms and a variety of microbial etiology is not fully delineated largely responsible. Because of the potential for serious things of the network, it is recommended for the diagnosis and treatment of low barriers to entry. One of pelvic inflammatory infection of pregnant woman of childbearing age is not the most testing an important public pelvic problem remains. This is the main long-term internet of things, such as tubal factor infertility, ectopic pregnancy and chronic pelvic pain. Also, acute care and its complications lead to significant pelvic care costs. These long-term preventions of the internet of things depend on the microbial cause of acute knowledge of strategies based on treatment. All aware that it is a polymicrobic acute infection. Organisms, Chlamydia trachomatis and Neisseria gonorrhoeae sexually transmit presence, in many cases, including the endogenous vaginal and cervical flora often associated with microorganisms. It contains anaerobic and facultative bacteria similar to those associated with bacterial most importantly mycoplasma has also recently been involved in acute reasons. Therefore, a therapeutic regimen for acute should provide a wide spectral range that is effective against these microorganisms.     

运动补剂的研究现状及其对运动员选择补剂的建议

运动员除了合理膳食,还需要摄入高纯度、易吸收的运动补剂强化补充,以促进疲劳恢复、改善机能、提高运动能力。本文综述了运动补剂的监管现状,评价了运动补剂的优缺点,并主要介绍了恢复体能类、提高免疫力类及电解质和微量元素类运动补剂,总结了运动补剂中可能添加的违禁药物,并为运动员选择合适的运动补剂提出建议,以期为运动员的补剂选择提供参考。     

Artificial intelligence medical system and dexmedetomidine for postoperative analgesia in orthopedic surgery patients

An embedded device is an object in the creation of a unique computing system. An embedded device system, usually, will be executed as a single application. However, these devices can be connected via a network connection. It can communicate via the other network devices. Also used lower reported pain scores at rest and activity using the Principle Component Analysis (PCA) in the first 24 h after surgery, it is reduced compared to the control group. The author dexmedetomil is, there is an opioid-sparing effect; its use is considered to be able to promote the postoperative analgesia. Total Knee Arthroplasty (TKA) reduces the most common end-stage variant of the operation of joint disease and Knee of patients with rheumatoid arthritis joint pain. However, TKA is postoperative recovery, affecting patient satisfaction, and overall results have continued severe postoperative pain, from moderate. Generally, narcotics have been utilized for perioperative agony the executives in broadly TKA. In any case, drugs and the constraint of sickness in clinical practice, such as respiratory sadness and urinary maintenance, have been related to unwanted unfavorable impacts—the motivation behind to examine the recent decision of postoperative torment the executives for TKA. Multimodal analgesia, including preemptive analgesics, is the best solution for perioperative pain management through several delivery routes. Multimodal analgesia, to promote the recovery of providing knee excellent pain relief, reduces the side effects of patients receiving opioid consumption and TKA.     

Remote classroom system for Chinese linguistics teaching based on FPGA and embedded system

Online intelligent remote classrooms subject to Chinese Linguistics and FPGA (Field-programmable gate array) procedures are used to handle complex blends of teaching and work estimations. FPGA (Field-Programmable Gate Array) is regularly realized as ASICs (Application-Specific Integrated Circuit) because of the high model thickness and execution essentials. Embedded designs regularly don't achieve high efficiency and low power application. The FPGA (Field-Programmable Gate Array) online course replication, appropriately giving the Fault Distributed Algorithm and hardware stage to organizing and evaluating new features before silicon is set into usage. Chinese Linguistics causes the network interface to grow faster and decline the ASIC design cycle. The Fault Distributed Algorithm is the improved forefront FPGA (Field-Programmable Gate Array) introduced another maximize card that reinforces the latest ASIC and FPGA plans that are a bit of checking trigger. The delivered output is taken care of in a model group and set aside in the data line that makes up an amount model pack. Considering the produced test set, the proposed system discovers each level's progression closeness, ultimately the overall likeness.     

Simulation of physical education teaching based on FPGA and wearable VR equipment

With the development of science and technology, computer technology has been widely used in all aspects around us. It can not only enrich the content of our classroom teaching, improve the quality of teaching, but also be used in sports activities.However, in the process of practical application of computer technology, there are still some problems to be solved.FPGA is the flexibility of programmable hardware and software. FPGA has been optimized for efficient network and security features with a highly pipelined architecture and its parallel processing capability. A better function for very high throughput with high bandwidth and scale applications. FPGA is essential for the next generation network.     

Fine grained sentiment polarity classification using augmented knowledge sequence-attention mechanism

Sentiment Analysis is a channel by which automated feedback analysis can be processed effectively and efficiently. The reviews reachable are not only useful for customers buying a product or service but also the manufacturers and industrialists to formulate their production and marketing strategies as well as government organizations to access the views of the citizens. Recommender systems, market researches, and predictions on various social media platforms can be made more practical and comprehensive by sentiment analysis. It has evolved in numerous ways starting from the coarsely grained analysis. But when we need to find intricate details scrunched into a single statement or so, aspect-level sentiment analysis is the way. The uprising of deep learning approaches has opened doors in various applications, including Aspect-based Sentiment Analysis. These networks are computationally strong and can be trained easily. However, since they lag in recognizing semantic complexities, various Natural Language Processing techniques have been joined into the neural models. Researchers have been creative with inventing various novel models, combining a myriad of neural networks and attention mechanisms to improve aspect detection and sentiment polarity identification. The promise that this field provides because of its independent nature compels scientists to delve into the topic. In this work, fine grained analysis is not only processed for the aspect and aspect word detection but also for polarity and its intensity analysis. Our Contributions include the enriched input embedding with token, orientation, grammatical function, field and intensity components in the embedding stage, refined pattern extraction with convolutional kernels and improved performance using attention mechanism in the latter stages. Our experimental results reveal that, our procedural methodology has brought out an optimal enhanced performance compared to the near closer designs.     

Research on segmentation of sports images based on GMMLS method

The transmission is a major economic game broadcast, not just playing games, video files, and can be tracked by image segmentation. However, from the current situation, it can see the video segmentation technology is still immature. Image segmentation is a technique that divides the original image into several different categories. Many of the possible solutions, it can be made available for image segmentation into different motion image segmentation qualities and each, some of the categories. The first step in the preprocessing is to remove the noise from the image. The second level is designed to be based on the proposed Gaussian Mixed Model Level Set (GMMLS), which uses multi-level threshold technology for image segmentation. The GMMLS is expected to realize an image processing method because it is substantially parallel to and consistent with the regional image division processing. And the third process, feature extraction, completion and final motion image classification. Experiments have demonstrated the feasibility of artificial life methods in both luminance and color images. Experimental results show that the algorithm provides fast segmentation with high perceptual segmentation quality while moving the image split view.