Exploration of the Training Mode of School-enterprise Collaborative AI Innovative Talents Based on PaddlePaddle

This paper takes the school-enterprise cooperation between the University of Electronic Science and Technology of China(UESTC)and Baidu(China)Co.,Ltd.as an example to build the Paddle Paddle(Sichuan)AI Education Innovation Center by enjoying the best of both UESTC and Baidu(China),and cooperating with 16 universities in Sichuan Province.With the support of this center,both the school and the enterprise successfully built a school-enterprise collaborative AI innovative talent training model,which mainly serves the universities,industries,and districts.Furthermore,this training model is able to facilitate the update of the industrial intelligence and the regional economic development in southwest China,and also provide a reference for deep integration of school-enterprise collaboration and the cultivation of innovative talents in electronic information fields.

Optimal Design of the Modular Joint Drive Train for Enhancing Cobot Load Capacity and Dynamic Performance

Automation advancements prompts the extensive integration of collaborative robot(cobot)across a range of industries.Compared to the commonly used design approach of increasing the payload-to-weight ratio of cobot to enhance load capacity,equal attention should be paid to the dynamic response characteristics of cobot during the design process to make the cobot more flexible.In this paper,a new method for designing the drive train parameters of cobot is proposed.Firstly,based on the analysis of factors influencing the load capacity and dynamic response characteristics,design criteria for both aspects are established for cobot with all optimization design criteria normalized within the design domain.Secondly,with the cobot in the horizontal pose,the motor design scheme is discretized and it takes the joint motor diameter and gearbox speed ratio as optimization design variables.Finally,all the discrete values of the optimization objectives are obtained through the enumeration method and the Pareto front is used to select the optimal solution through multi-objective optimization.Base on the cobot design method proposed in this paper,a six-axis cobot is designed and compared with the commercial cobot.The result shows that the load capacity of the designed cobot in this paper reaches 8.4 kg,surpassing the 5 kg load capacity commercial cobot which is used as a benchmark.The minimum resonance frequency of the joints is 42.70 Hz.

Research on the Reform of School-Enterprise Cooperation Teaching and Education Mode for Computer Majors

This paper discusses the innovative methods of school-enterprise cooperation education mode in computer applied talent training.An innovative training model based on school-enterprise cooperation is proposed to promote the cultivation of students’practical and innovative skills,so as to better adapt to the needs of society.By analyzing the key links and influencing factors of the training mode,this paper puts forward some concrete suggestions and measures to provide guidelines for universities and enterprises in personnel training.

The Docking of Talent Training Strategies and Job Market in Higher Vocational Colleges Under the Background of Slow and Difficult Employment

Students in higher vocational colleges are faced with difficult problems such as slow employment,which highlights the dislocation between education and the market.This study surveyed thousands of students and hundreds of enterprises,and put forward docking strategies.The analysis shows that the mismatch between skills adaptation and literacy is the main cause of slow employment.To this end,research and design training programs,including curriculum restructuring,school-enterprise cooperation practice platforms,and employment-oriented quality improvement plans are imperative.At the same time,we will develop teaching modules for career planning to enhance competitiveness and ensure that the content is synchronized with industry standards.After the implementation,the employment rate of students increased by 15%within six months,the degree of interconnection increased by 20%,and the degree of enterprise recognition increased by 25%.The research effectively promotes the docking of higher vocational education with the market,and has far-reaching significance for easing slow employment.

Evaluation of the Effectiveness and Efficiency of Extracorporeal Shock Wave Combined with Rehabilitation Training in the Treatment of Muscle Articulation Chronic Pain

Objective: To analyze the effect of combined extracorporeal shock wave and rehabilitation training treatment in patients with muscle articulation chronic pain (MACP). Methods: Ninety-seven MACP patients admitted to our hospital from September 2021 to September 2023 were randomly selected and were divided into Group A (control group, 46 cases, rehabilitation training treatment) and Group B (observation group, 51 cases, extracorporeal shock wave with rehabilitation training treatment), and outcomes of the two groups were compared. Results: The treatment efficiency, post-treatment clinical indexes (upper and lower limb function scores, activities of daily living (ADL) scores, visual analog scale (VAS) scores), and short-form 36 (SF-36) scores of Group B were better than those of Group A (P < 0.05). Conclusion: Combined extracorporeal shock wave and rehabilitation training treatment for MACP patients improved their limb function, daily activities, quality of life, and reduced pain.

School-Enterprise Cooperation in Excellent Engineer Education and Training Program at UESTC

School of Information and Software Engineering at University of Electronic Science and Technology of China(abbreviated hereafter as "SISE") joined Excellent Engineer Education and Training Program launched by Ministry of Education of China in 2011. This paper discussed nine models of school-enterprise cooperation practiced at SISE since 2011. The school-enterprise cooperation model effectively broadens the students' horizons and improves the students' practical ability and has been recognized by academic circles.

Research on the School-Enterprise Cooperation Training Mode for Music Professionals in University

In order to meet the needs of enterprises,adapt to the development of the social era,and cultivate practical talents in line with the market,adopting and promoting the school-enterprise cooperation mode have become important reform measures of higher education for music professionals in universities.In the context of the continuous optimization and development of national higher education,clarifying the significance of deepening the reform,exploring the drawbacks of the current mode and the areas that can be developed,seeking an effective way to combine music education with social needs,tapping the unlimited potential of professionals,and guiding the training of professionals are all constructive guarantees for ensuring sufficient national human resources in the future.

Design and Implementation of Multi-collaborative Training System

With the rapid development of computer technology,network and information technology have been widely used in people’s daily lives,which has brought great convenience to labor and life.At the same time,people are increasingly dependent on computer technology.In this case,the social demand for computer professionals is increasing.However,due to the rapid changes and continuous updates of computer technology,the training of talents in computer specialty in China is far from meeting the demand and quality requirements of the society for this kind of talents.Colleges and universities are the important departments that cultivate computer professionals and technicians for the society.When cultivating talents in computer specialty,colleges and universities must conform to the requirements of the development of the times,adjust teaching strategies in a timely manner according to the actual needs of the society,build a talent training system,build a practical training teaching system of computer specialty,innovate teaching modes and teaching contents,and improve students’professional skills through perfect practical teaching,so as to ensure that they can skillfully apply computer technology to solve practical problems in the learning process and further improve their employment competitiveness.Therefore,this paper analyzes the practical teaching system of computer specialty,puts forward corresponding solutions to the existing problems,constructs a multi-collaborative practical training system,and implements the system.The implementation results show that the system can better meet the needs of students at different levels,and the results are fairer.Students’recognition and sense of acquisition of courses have also been greatly improved.The accumulated experience and data also provide good support for our continuous improvement of the system in the future.

A Novel Scheme for Separate Training of Deep Learning-Based CSI Feedback Autoencoders

In this paper, we introduce a novel scheme for the separate training of deep learning-based autoencoders used for Channel State Information (CSI) feedback. Our distinct training approach caters to multiple users and base stations, enabling independent and individualized local training. This ensures the more secure processing of data and algorithms, different from the commonly adopted joint training method. To maintain comparable performance with joint training, we present two distinct training methods: separate training decoder and separate training encoder. It’s noteworthy that conducting separate training for the encoder can pose additional challenges, due to its responsibility in acquiring a compressed representation of underlying data features. This complexity makes accommodating multiple pre-trained decoders for just one encoder a demanding task. To overcome this, we design an adaptation layer architecture that effectively minimizes performance losses. Moreover, the flexible training strategy empowers users and base stations to seamlessly incorporate distinct encoder and decoder structures into the system, significantly amplifying the system’s scalability. .

Effect of sinew-regulating and bone-setting manipulating combined with exercise training in the treatment of joint injury of distal radio-ulnar

Objective: To observe the effect of the joint injury of the distal radio-ulnar joint. Methods: 60 patients with Distal Radioulnar Joint (DRUJ) injury were divided into observation group and control group according to random number method. 30 cases were included in each of the two groups.Before and after treatment in patients with Visual Analogue Scale (Visual Analogue Scale, VAS) score, forearm pronation and supination electromyographic activity, methods of electric integral value (integral electromyogram, iEMG) and Wrist in patients with self assessment Scale (Patient - Rated Wrist Evaluation, PRWE) score evaluation, comparison, and the clinical observation on diagnosis of disease and curative effect of traditional Chinese medicine standard (assessment process by blind method).Results: compared with the two groups before and after treatment, VAS score decreased, forearm pronation and postpronation activity increased, iEMG value increased, and PRWE scale score decreased (all P < 0.05), and the curative effect of the treatment group was better than that of the control group (P < 0.05). The total effective rate of the treatment group [93.3% (28/30)] was higher than that of the control group [50%(15/30), P < 0.05].Conclusion: the combined exercise training of muscle and bone setting technique can effectively alleviate the pain of patients with radial ulnar joint injury, improve the rotation of the forearm, increase the recruitment of the anterior rotatory muscle, and improve the wrist function of patients, and the effect is better than if combined with forearm support fixation.

The Way of Constructing the Diversified and Joint Administration Model of School-Enterprise Cooperation and Education

With the rapid development of the world,the needs of society and enterprises for all kinds of talents are also increasing.Of course,the cultivation of application-oriented talents is the demand for the survival and development of students,as well as the training goals of major schools.Through schoolenterprise cooperation,the employment rate of students can be effectively improved.However,due to the limitations of many conditions,the current diversified school-enterprise cooperation model also faces some problems.This article provides some measures for the problems that exist on the way and how to construct them.

Joint training with local soft attention and dual cross-neighbor label smoothing for unsupervised person re-identification

Existing unsupervised person re-identification approaches fail to fully capture thefine-grained features of local regions,which can result in people with similar appearances and different identities being assigned the same label after clustering.The identity-independent information contained in different local regions leads to different levels of local noise.To address these challenges,joint training with local soft attention and dual cross-neighbor label smoothing(DCLS)is proposed in this study.First,the joint training is divided into global and local parts,whereby a soft attention mechanism is proposed for the local branch to accurately capture the subtle differences in local regions,which improves the ability of the re-identification model in identifying a person’s local significant features.Second,DCLS is designed to progressively mitigate label noise in different local regions.The DCLS uses global and local similarity metrics to semantically align the global and local regions of the person and further determines the proximity association between local regions through the cross information of neighboring regions,thereby achieving label smoothing of the global and local regions throughout the training process.In extensive experiments,the proposed method outperformed existing methods under unsupervised settings on several standard person re-identification datasets.

A Novel Training Sequence Applied to DCS-Based Channel Estimation

Studies have indicated that the distributed compressed sensing based(DCSbased) channel estimation can decrease the length of the reference signals effectively. In block transmission, a unique word(UW) can be used as a cyclic prefix and reference signal. However, the DCS-based channel estimation requires diversity sequences instead of UW. In this paper, we proposed a novel method that employs a training sequence(TS) whose duration time is slightly longer than the maximum delay spread time. Based on proposed TS, the DCS approach perform perfectly in multipath channel estimation. Meanwhile, a cyclic prefix construct could be formed, which reduces the complexity of the frequency domain equalization(FDE) directly. Simulation results demonstrate that, by using the method of simultaneous orthogonal matching pursuit(SOMP), the required channel overhead has been reduced thanks to the proposed TS.

Research on The Software Development Ability Training With Gradual and Whole Process Based on The Deep Integration Between Industry and Education

In view of the mechanism and quality problems in the software ability training of computer majors in colleges and universities,as well as the engineering ability and innovation ability training results can not effectively meet the needs of society,this paper discusses how to realize the deep integration of production and education through school enterprise cooperation under the existing training mode.Through the establishment of a progressive whole process training system,students’software ability can be improved in an all-round way.Taking Shenyang Aerospace University as an example,it expounds how to organically combine the theoretical teaching in class with the cultivation of extracurricular innovation ability,and gradually guide students to comprehensively improve their software development ability and innovation ability.The model has been running for many years,and plays a leading role in promoting the reform of education and teaching and improving the quality of education,and provides reference for the brotherly colleges and universities.

Joint On-Demand Pruning and Online Distillation in Automatic Speech Recognition Language Model Optimization

Automatic speech recognition(ASR)systems have emerged as indispensable tools across a wide spectrum of applications,ranging from transcription services to voice-activated assistants.To enhance the performance of these systems,it is important to deploy efficient models capable of adapting to diverse deployment conditions.In recent years,on-demand pruning methods have obtained significant attention within the ASR domain due to their adaptability in various deployment scenarios.However,these methods often confront substantial trade-offs,particularly in terms of unstable accuracy when reducing the model size.To address challenges,this study introduces two crucial empirical findings.Firstly,it proposes the incorporation of an online distillation mechanism during on-demand pruning training,which holds the promise of maintaining more consistent accuracy levels.Secondly,it proposes the utilization of the Mogrifier long short-term memory(LSTM)language model(LM),an advanced iteration of the conventional LSTM LM,as an effective alternative for pruning targets within the ASR framework.Through rigorous experimentation on the ASR system,employing the Mogrifier LSTM LM and training it using the suggested joint on-demand pruning and online distillation method,this study provides compelling evidence.The results exhibit that the proposed methods significantly outperform a benchmark model trained solely with on-demand pruning methods.Impressively,the proposed strategic configuration successfully reduces the parameter count by approximately 39%,all the while minimizing trade-offs.

青少年篮球训练运动中关节损伤预警模型

为准确预警青少年在篮球训练中的关节损伤,构建了青少年篮球训练运动中关节损伤预警模型。使用基于独立成分分析和经验模态分解的关节受力信号去噪方法,保留有效信号,在CNN网络中提取关节受力特征后,输入LSTM网络识别关节受力信号的损伤级别后通过蜂鸣器预警。结果显示:所构建模型对青少年篮球训练运动中关节损伤级别识别结果符合实际,预警错误次数为0次,预警结果具有可信度。

美军军事仿真LVC系统发展与启示

针对当前多军兵种联合作战实战化训练的需求,建模和仿真领域的未来目标是创建统一的真实-虚拟-构造(LVC)集成架构,支持快速集成模型和开展仿真,用于联合作战训练、战术协同、拟制作战计划和评估等。通过探究LVC概念内涵和应用领域,分析美军LVC训练网络发展计划,梳理了分布式任务作战、联合仿真环境和美海军模拟训练三个典型LVC系统应用范例。借鉴美军应用LVC解决联合训练的经验做法,给出加快构建我军一体化联合训练的启示,为我军联合训练环境建设提供有价值的参考。

渐进式康复训练在促进乳腺癌术后患者上肢功能恢复中的应用研究

目的:分析渐进式康复训练对乳腺癌术后患者上肢功能恢复的效果。方法:选择2022年4月—2023年4月江门市妇幼保健院乳腺科收治的80例乳腺癌术后患者作为研究对象,按照入院先后顺序编号,将奇数号纳入对照组,偶数号纳入观察组,各40例。对照组给予常规康复护理,观察组在常规康复护理基础上开展渐进式康复训练。比较两组护理前、护理1个月后肩关节活动度、运动耐力、乳腺癌患者生存质量测定量表(FACT-B)评分、肩关节功能评分及术后恢复指标(下床活动时间、排便时间、排气时间)。结果:护理前,两组肩关节活动度、运动耐力指标、FACT-B评分及肩关节功能评分比较,差异无统计学意义(P>0.05)。护理1个月后,两组肩关节活动度优于护理前,运动距离长于护理前,心率恢复时间、最大心率时间短于护理前,FACT-B各项评分及肩关节功能各项评分高于护理前,且观察组肩关节活动度大于对照组,运动距离长于对照组,心率恢复时间、最大心率时间短于对照组,FACT-B各项评分及肩关节功能各项评分高于对照组,差异有统计学意义(P<0.05)。观察组术后下床活动时间、排便时间、排气时间均早于对照组,差异有统计学意义(P<0.05)。结论:乳腺癌患者术后开展渐进式康复训练可有效促进肩关节功能的恢复,还可增强患者的运动耐力并改善其生活质量。

“校企联培制”模式下应用型卓越人才培养路径探究——以湖北大学知行学院为例

近年来地方应用型本科高校以服务地方经济和产业需求为己任,着重培养学生的工程和创新技术应用能力,高校与企业合作,发挥各自优势,实现生产、教学、科研的深度合作,共同完成人才培养。介绍机械类专业在新工科背景下,以培养应用型卓越人才为目标,基于“校企联培制”的总体思路,实施学校专业教学计划与企业工程师培养计划“双计划”,在人才培养体系设计、校企资源整合、就业平台搭建和师资力量提升等方面进行改革,实施产教融合,提升就业能力,最终实现人才的高质量培养和就业。

基于CenterNet的多教师联合知识蒸馏

介绍了一种基于轻量化CenterNet的多教师联合知识蒸馏方案。所提方案能有效解决模型轻量化带来的性能恶化问题,可以显著缩小教师模型和学生模型之间的性能差距。将大规模复杂模型作为教师模型,指导训练轻量化学生模型。相比于模型的传统训练方案,使用所提知识蒸馏训练方案可以在相同的训练轮数后使轻量化模型达到更优的检测性能。主要贡献是提出了适用于CenterNet目标检测网络的新型知识蒸馏训练方案——多教师联合知识蒸馏。在后续实验中,进一步引入了蒸馏注意力机制,从而优化了多教师联合知识蒸馏的训练效果。在VOC2007数据集(Visual Object Classes 2007 Dataset)上,以MobileNetV2轻量化网络作为主干网络为例,相较于传统的CenterNet(主干网络为ResNet50),所提方案在参数量指标上压缩了74.7%,推理速度提升了70.5%,在平均精度上只有1.99的降低,取得了更好的“性能-速度”平衡。实验证明,同样经过100轮训练,使用多教师联合知识蒸馏训练方案的轻量化模型相较于普通训练方案,平均精度提升了11.30。