Classification and Optimization of Basketball Players’ Training Effect Based on Particle Swarm Optimization

Since the professionalization of basketball in China, the number of teenagers participating in basketball training has gradually increased, which has promoted the improvement of basketball level in China. Teenagers ‘love’ for basketball further promotes the improvement of basketball level in China. However, the reality of basketball in China still lags far behind that of developed basketball countries, in which backward training is an important aspect. This paper mainly makes a comprehensive overview of the training effect and classification of basketball players through particle swarm optimization, objectively evaluates the training effect of physical fitness, and proposes corresponding optimization measures, aiming at the scientific optimization of physical training for basketball players in China. In order to rationally arrange the training methods, control the training process, and make the training scientific, the effectiveness of the particle swarm optimization algorithm for the classification of basketball players’ training effects is analyzed, and a new population-based optimization method is proposed. The experimental results verify the superiority of the particle swarm optimization algorithm. It is an inevitable choice to enhance the physical strength level of basketball reserve strength by using appropriate methods to train basketball players.

Analysis on Survey Data of Special Physical Training for Skiers in Summer Training Based on Big Data

Due to the geographical and natural conditions, the development of skiing events is more resistant in China, and the training venues, methods, and concepts are insufficient, making it difficult for Chinese skiers to make some progress and aspire to the highest peak in this field. The purpose of this study is to explore and analyze the survey data of the professional physical training of skiers in summer training based on big data. Big data is employed to investigate and analyze the special physical training of skiers in summer training. Based on the data of professional physical training of skiers in summer training under big data, the current situation of skiers in summer training is examined, and the limitations are compared to improve the traditional physical training of skiers. Results show that the special physical training of skiers based on big data is more feasible in summer training, and the improvement of training effect is more obvious than traditional physical training. The training effect of the proposed method can more effectively solve the difficulties in summer training for skiers and understand the essentials of the action.

YOLO-SD: A Real-Time Crew Safety Detection and Early Warning Approach

Wearing safety rope while working at the loft and over the side of a ship is an effective means to protect seafarers from accidents. However, there are no active and effective monitoring methods on ships to control this issue. In this article, a one-stage system is proposed to automatically monitor whether the crew is wearing safety ropes. When the system detects that a crew enters the work area without a safety rope, it will warn the supervisor. In this regard, a safety rope wearing detection dataset is established. Then a data augmentation algorithm and a boundary loss function are designed to improve the training effect and the convergence speed. Furthermore, features from different scales are extracted to get the final detection results. The obtained results demonstrate that the proposed approach YOLO-SD is effective at different on-site conditions and can achieve high precision (97.4%), recall rate (91.4%), and mAP (91.5%) while ensuring real-time performance (38.31 FPS on average).

Observation of giant exchange bias effect in Ni-Mn-Ti all-d-metal Heusler alloy

We report a giant exchange bias (EB) field of about 3.68 KOe during field cooled process in all-d-metal Ni40(FeCo)4Mn36Ti20 Heusler alloy. The study of magnetic memory effect and isothermal magnetic relaxation processes suggest that the giant EB field arises due to the possible coexistence of antiferromagnetic (AFM) and ferromagnetic (FM) phase exchange interaction in the studied system at temperatures below 35 K. Furthermore, the temperature and cooling field dependence of EB effect are analyzed which are related to the change in unidirectional anisotropy at FM/AFM interface. The study of a well-established training effect confirms the intrinsic nature of the observed EB behavior. This result will open up a new way towards the development of EB materials considering all-d-metal Heusler alloy systems.

Effect Evaluation and Influencing Factors of E-Learning Training in Colleges

E-learning is a teaching model formed during the informatization of colleges. It is of great significance to the promotion of teaching reform. This paper tries to evaluate the training effect of e-learning among college students, understand their perception and expectation of e-learning, and demonstrate the importance of the training to the practical ability and professional knowledge utilization of college students. In addition, the factors affecting e-learning training in colleges are evaluated one by one. The results show that e-learning training effect can be assessed well with an evaluation index system (EIS), consisting of a response layer, a learning layer, a behavior layer, and a result layer. The training effect of e-learning is influenced by the trainee characteristics, working environment, and training design. The research lays a theoretical basis for applying e-learning training in teaching.

PENGARUH PROSES REKRUTMEN DAN PELATIHAN KERJA TERHADAP KINERJA KARYAWAN PADA PT. MOST BLUE RESORT & SPA GIANYAR

This study aims to determine the influence of recruitment and training on employee performance. Sampling method using saturated sample. Data were collected using the method of observation, interviews, and quitionaires. Respondents of the study by 55 employees at the PT. Most Blue Resort and Spa. The data analysis techniques used are quantitative and qualitative analyses. The program were used to perform data analysis is SPSS version 22 for Windows. These results indicate that recruitmen effect on employee performance at the PT. Most Blue Resort and Spa. Training effect on employee performance at the PT. Most Blue Resort and Spa. Recruitment and training has a positive affect on employee performance at the PT. Most Blue Resort and Spa.

Segmentation of infected region in CT images of COVID-19 patients based on QC-HC U-net

Since the outbreak of COVID-19 in 2019, the rapid spread of the epidemic has brought huge challenges to medical institutions. If the pathological region in the COVID-19 CT image can be automatically segmented, it will help doctors quickly determine the patient’s infection, thereby speeding up the diagnosis process. To be able to automatically segment the infected area, we proposed a new network structure and named QC-HC U-Net. First, we combine residual connection and dense connection to form a new connection method and apply it to the encoder and the decoder. Second, we choose to add Hypercolumns in the decoder section. Compared with the benchmark 3D U-Net, the improved network can effectively avoid vanishing gradient while extracting more features. To improve the situation of insufficient data, resampling and data enhancement methods are selected in this paper to expand the datasets. We used 63 cases of MSD lung tumor data for training and testing, continuously verified to ensure the training effect of this model, and then selected 20 cases of public COVID-19 data for training and testing. Experimental results showed that in the segmentation of COVID-19, the specificity and sensitivity were 85.3% and 83.6%, respectively, and in the segmentation of MSD lung tumors, the specificity and sensitivity were 81.45% and 80.93%, respectively, without any fitting.

TRAINING EFFECT CONTRIBUTE TO THE JOB SATISFACTION AND PERFORMANCE OF CIVIL SERVICE IN THE TRANSMIGRATION AND MANPOWER SERVICE OF BULUNGAN REGENCY

The rationale of this study was to analyze and prove the training effect on the performance of the Civil Service through job satisfaction variables. Type of research is included in explanatory research. The population is all employees of Transmigration and Manpower Office of Bulungan Regency about 55 persons. The number of samples in this study were 55 respondents. The sampling technique performed by using total sampling technique. Data analysis technique used a path analysis approach. The findings showed that training has a positive and significant effect on employee job satisfaction. Training has a positive and significant effect on employee performance. Job satisfaction has a positive and significant effect on employee performance. In step 1, training is proven to have a significant effect on employee performance. In step 2 when training and job satisfaction are regressed together to predict employee performance, training remains significant. Thus job satisfaction is able to mediate the effect of training on employee performance.