Risk Assessment and Planning of Wushu Course Teaching in Higher Physical Education Institutes

Shao Wanxin 한중경제문화학회 2024 한중경제문화연구 Vol.25 No.-

In recent years, with the rapid development of risk management, an emerging management discipline, it is natural to go into the teaching field. In the teaching of martial arts courses in higher physical education colleges in China, due to the nature and characteristics of the martial arts courses, the inevitable existence of risk factors in the martial arts teaching process is determined. Using expert interview methods, questionnaire survey methods, literature data methods, field trips and other research methods, explore the potential risks of teachers in higher vocational colleges in the teaching of martial arts courses, and evaluate the risks and potential risks in teachers’ teaching activities. Put forward measures for the prevention of physical education risks. In the teaching of martial arts in higher physical education colleges, the occurrence of teaching safety accidents is mainly caused by four factors: teacher factors, student factors, environmental factors and school management factors. The occurrence of teaching accidents has never been determined by a single factor, so teachers, students and the relevant departments of the school should be strengthened. Finally, the paper puts forward that the measures for the prevention of martial arts teaching risk in higher physical education colleges include: scientifically and rationally arranging preparation activities, establishing student health records, strengthening the teaching management of martial arts courses, strengthening the safety knowledge education of teachers and students, and establishing a linkage mechanism for school teaching risk prevention. And establish measures such as diversified insurance mechanisms.

UTAUT모델을 기반한 공익성게임 유저의 게임 참여 동기 유발에 관한 연구

전완신(Qian Wanxin),경병표(Byung-Pyo Kyung) 한국게임학회 2021 한국게임학회 논문지 Vol.21 No.3

본 논문은 게임 플레이어들의 공익성 게임에 대한 참여 유발과 공익성 게임에 대한 인식 및 참여 동기에 대한 연구이다. 본 연구의 연구 대상은 중국 대륙에서 공익성 게임의 테스트로 참여했던 게임 유저들로 총 300명의 설문지를 배부했으며, 데이터 처리는 SPSS 24.0과 AMOS 24.0을 적용해 분석하여 신뢰성 분석, 유효성 분석, 상관분석, 구조 방정식 모델 검증 등을 진행하였다. 가설 검증결과에 따라 공익성 게임에서 신뢰 감지는 유저의 공익성 게임에 영향을 미치는 가장 중요한 동기 부여 요소였다. 성과 기대에서 가장 주요한 영향 요인은 자아실현에 대한 욕구와 소외계층에 대한 관심이었다. 인지된 위험과 사회적 영향은 유저의 공익성 게임 행위에 영향을 미치는 동기 요인이었다. 위험 감지는 유저의 참여 의도에 분명한 반(-)향 영향을 미쳤다. The subjects of this study are Chinese players who have participated in public welfare games. SPSS24.0 and AMOS24.0 were used to analyze the data, including reliability analysis, validity analysis, correlation analysis, structural equation model verification and so on. The hypothesis results show that Trust-Aware is the most important motivation dimension that affects players" participation in public welfare games. Under the dimension of Performance Expectancy, the main influencing factors are players" needs for self-realization and concern for vulnerable groups. Perceived Risk and Social Influence are the motivational factors that influence players" participation in public welfare games.

A Forecasting Method of Electricity Sales Considering the User Churn Rate in a Power Market Environment

Zhaoyang Qu,Wanxin Wang,Nan Qu,Yuqing Liu,Hongbo Lv,Kewei Hu,Jianyou Yu,Manyang Gao,Jiajun Song 대한전기학회 2019 Journal of Electrical Engineering & Technology Vol.14 No.4

In order to improve the accuracy of forecasts of the electricity sales of power sales companies, a depth forecast model of electricity sales based on the characteristics of the power market is proposed. First, based on survival analysis, the calculation method of the user churn rate in the electricity market is given, and the number of users at a certain moment in the future is predicted. Then, users’ electricity consumption that calculated by the deep belief network and the predicted quantity of users are combined to design a forecast model of electricity sales. Finally, the model is solved utilizing the weighting algorithm of adaptive inertia. The analysis of the example shows that the proposed method achieves a signifi cant improvement in the accuracy of power sales forecasting.

Correction to: A Forecasting Method of Electricity Sales Considering the User Churn Rate in a Power Market Environment

Zhaoyang Qu,Wanxin Wang,Nan Qu,Yuqing Liu,Hongbo Lv,Kewei Hu,Jianyou Yu,Manyang Gao,Jiajun Song 대한전기학회 2019 Journal of Electrical Engineering & Technology Vol.14 No.6

Due to unfortunate mistake the grant numbers have been omitted in the acknowledgments section: This work is supported by the National Natural Science Foundation of China (No. 51437003), Jilin Province Science and Technology Development Plan Project of China (20160623004TC, 20180201092GX), Jilin Science and Technology Innovation Development Plan Project of China (201830817).

Search-based Path Planning and Receding Horizon Based Trajectory Generation for Quadrotor Motion Planning

Bo Zhang,Pudong Liu,Wanxin Liu,Xiaoshan Bai,Awais Khan,Jianping Yuan 제어·로봇·시스템학회 2024 International Journal of Control, Automation, and Vol.22 No.2

This paper proposes a receding horizon based motion planning method, which allows a sensoryconstrained quadrotor to dynamically plan obstacle-avoiding trajectories in unknown complex environments. First, a two-process search method is proposed to generate an initial feasible path satisfying the dynamics of the quadrotor. Second, the path smoothness is improved by solving a nonlinear optimization problem considering path safety and smoothness. Then, a uniform B-spline is used to interpolate the path with a receding horizon to achieve a safe and dynamically feasible trajectory with minimum trajectory time by solving an optimization problem. Finally, a time adjustment method is proposed based on the relationship between the distance of the B-spline trajectory and the obstacles. Extensive simulation results illustrate that the designed method doubles the safety range, defined as the minimum distance between the quadrotor and the obstacles, and consumes less than 70% of computational running time compared with the state-of-the-art. Outdoor flight experiments performed with a vision-based quadrotor show the satisfying performance of the motion planning approach.

The Impact of Public Health Emergency Events on Health Behaviors : Evidence from the COVID-19

Chenxi Guo,Qiuju Yin,Wanxin Qiao 한국경영정보학회 2021 한국경영정보학회 학술대회논문집 Vol.2021 No.11

The emergence of public health events has a devastating impact on the health of people. However, it is still unclear whether the outbreak of public health emergency event would influence the people’s health behaviors in online health communities. In this study, we collect the data of users’ physical activities and content-generation activities from a large online health community in China from January 2019 to April 2021, in which period COVID-19 had outbroken in China. Through adopting an interrupted time-series strategy, we find that users expend greater effort on improving the physical activity level as compared with the time before the COVID-19. The burst of COVID-19 makes people pay more attention to their health and improve their health awareness. Furthermore, we observe that after the COVID-19, users are more likely to share contents on the community. Our results have implications for public health and online community management.

Particle Swarm Optimization Based Noncoherent Detector for Ultra-Wideband Radio in Intensive Multipath Environments

Li, Bin,Zhou, Zheng,Zou, Weixia,Gao, Wanxin Hindawi Publishing Corporation 2011 EURASIP journal on advances in signal processing Vol.2011 No.1

<P>Given the dense multipath propagation in typical ultra-wideband channels, traditional coherent receivers may become computationally complex and impractical. Recently, noncoherent UWB architectures have been motivated with simple implementations. Nevertheless, the rudimentary statistical assumption and practical information uncertainty inevitably results in a hardly optimistic receiving performance. Inspired by the nature processes, in this paper we suggest a noncoherent UWB demodulator based on the particle swarm intelligence which can be realized in two steps. Firstly, a characteristic spectrum is developed from the received samples. From a novel pattern recognition perspective, four distinguishing features are extracted from this characteristic waveform to thoroughly reveal the discriminant properties of UWB multipath signals and channel noise. Subsequently, this established multidimensional feature space is compressed to a two-dimension plane by the optimal features combination technique, and UWB signal detection is consequently formulated to assign these pattern points into two classes at the minimum errors criterion. The optimal combination coefficients and the decision bound are then numerically derived by using the particle swarm optimization. Our biological noncoherent UWB receiver is independent of any explicit channel parameters, and hence is essentially robust to noise uncertainty. Numerical simulations further validate the advantages of our algorithm over the other noncoherent techniques.</P>

Multi-Objective Optimization Model of Electricity Behavior Considering the Combination of Household Appliance Correlation and Comfort

Zhaoyang Qu,Nan Qu,Yaowei Liu,Xiangai Yin,Chong Qu,Wanxin Wang,Jing Han 대한전기학회 2018 Journal of Electrical Engineering & Technology Vol.13 No.5

With the wide application of intelligent household appliances, the optimization of electricity behavior has become an important component of home-based intelligent electricity. In this study, a multi-objective optimization model in an intelligent electricity environment is proposed based on economy and comfort. Firstly, the domestic consumer’s load characteristics are analyzed, and the operating constraints of interruptible and transferable electrical appliances are defined. Then, constraints such as household electrical load, electricity habits, the correlation minimization electricity expenditure model of household appliances, and the comfort model of electricity use are integrated into multi-objective optimization. Finally, a continuous search multi-objective particle swarm algorithm is proposed to solve the optimization problem. The analysis of the corresponding example shows that the multi-objective optimization model can effectively reduce electricity costs and improve electricity use comfort.

Multi-Objective Optimization Model of Electricity Behavior Considering the Combination of Household Appliance Correlation and Comfort

Qu, Zhaoyang,Qu, Nan,Liu, Yaowei,Yin, Xiangai,Qu, Chong,Wang, Wanxin,Han, Jing The Korean Institute of Electrical Engineers 2018 Journal of Electrical Engineering & Technology Vol.13 No.5

With the wide application of intelligent household appliances, the optimization of electricity behavior has become an important component of home-based intelligent electricity. In this study, a multi-objective optimization model in an intelligent electricity environment is proposed based on economy and comfort. Firstly, the domestic consumer's load characteristics are analyzed, and the operating constraints of interruptible and transferable electrical appliances are defined. Then, constraints such as household electrical load, electricity habits, the correlation minimization electricity expenditure model of household appliances, and the comfort model of electricity use are integrated into multi-objective optimization. Finally, a continuous search multi-objective particle swarm algorithm is proposed to solve the optimization problem. The analysis of the corresponding example shows that the multi-objective optimization model can effectively reduce electricity costs and improve electricity use comfort.

Efficacy of acupuncture for cardiopulmonary cerebral resuscitation: A systematic review and meta-analysis

Liu Yunlan,Ren Mengjuan,Kuang Zhuoran,Luo Xufei,Li Huishan,Zhang Yikai,Wen Wanxin,Cai Yefeng,Ni Xiaojia,Chen Yaolong 한국한의학연구원 2023 Integrative Medicine Research Vol.12 No.1

Background: Cerebral resuscitation is one of the main therapeutic aims in the treatment of cardiac arrest (CA) patients who experience a return of spontaneous circulation (ROSC). However, the therapeutic effects of current treatments are not ideal. The purpose of this study was to evaluate the efficacy of neurological function of acupuncture combined with conventional cardiopulmonary cerebral resuscitationthe (CPCR) for patients after ROSC. Methods: Seven electronic databases and other related websites were searched to identify studies on acupuncture combined with conventional CPCR for patients after ROSC. R software was used to conduct a meta-analysis, and the outcomes that could not be pooled were analyzed using a descriptive analysis. Results: Seven RCTs involving 411 participants who had experienced ROSC were eligible for inclusion. The main acupoints were Neiguan (PC6), Shuigou (DU26), Baihui (DU20), Yongquan (KI1), and Sanyinjiao (SP6). Compared to conventional CPCR, acupuncture combined with conventional CPCR led to signifi- cantly higher Glasgow Coma Scale (GCS) scores on day 3 (mean difference (MD) = 0.89, 95% CI: 0.43, 1.35, I 2 = 0%), day 5 (MD = 1.21, 95% CI: 0.27, 2.15; I 2 = 0%), and day 7 (MD = 1.92, 95% CI: 1.35, 2.50; I 2 = 0%). Conclusion: Acupuncture-assisted conventional CPCR may have a potential role in improving neurologi- cal function in CA patients after ROSC, but the certainty of evidence is very low and more high-quality studies are required.