In this project, a detailed description of using a 3-lead ECG sensor, pulse oximeter probe, temperature sensor and respiration rate sensor is being used for transmitting the data acquired via microcontroller through B...
详细信息
Long-Range LoRa received significant attention in recent years as low power, low cost scheme for wireless communications over a long distance. In the LoRa system, interference is highly correlated with the spreading f...
详细信息
Aiming at the problem that the existing taxi travel region prediction research is difficult to pay attention to the proximity between regions and ignore the time dependence, in order to fully mine the historical traje...
Aiming at the problem that the existing taxi travel region prediction research is difficult to pay attention to the proximity between regions and ignore the time dependence, in order to fully mine the historical trajectory data to accurately predict the travel region, a taxi travel region prediction model based on Spatio-temporal adjacency perception enhanced Transformer (STAATN) was proposed l Adjacency Aware Transformer Network). The encoder dynamically updates the information of each node by stacking the local region feature information, and uses its temporal characteristics to update the information of each node. At the same time, the attention mechanism with spatial characteristics is fused. In the decoder, a new adaptive distillation mechanism is designed to input the fused results into the decoder to generate the prediction results in turn. Experiments were carried out on the public Data set TLC Trip Record Data. The results show that the prediction effect of STAATN model is better than that of the original model. In terms of Mean Absolute Error (MAE), Root Mean Square Error (RMSE) and Mean Absolute Percentage Error (MAPE), the proposed model was reduced by 0.2, 0.73 and 1.4% respectively compared with the model before improvement.
Active distancelearning is an appealing approach that allows students to study at a distance by completing learning activities at their own pace without watching recorded or live lectures. This approach, however, rai...
详细信息
ISBN:
(纸本)9781665453318
Active distancelearning is an appealing approach that allows students to study at a distance by completing learning activities at their own pace without watching recorded or live lectures. This approach, however, raises some concerns due to the lack of teacher guidance, feedback, and scaffolding. Still, a thoughtful design of the learning activities can mitigate this issue. In this study, we aimed to investigate how students perceive distancelearning activities and how their perceptions affect their performance on immediate short tests. Using regression analysis of 103 students' data and 62 learning activities, we investigated the relationship between the grades and completion time of the learning activities and students' ratings of the perceived level of interest, motivation, challenge, frustration, and boredom. We found out, for example, that student perceptions of interest and motivation are essentially affected by grades rather than the activity's completion time. Furthermore, we investigated the relationship between the perceptions of the learning activities and students' performance on immediate, short tests. The regression model showed that the perceived motivation, interest, and challenge have a remarkably strong impact on students' performance. We conclude that active distancelearning can benefit from a thoughtful design of learning activities that takes students' perceptions seriously into consideration.
Recognizing traditional Chinese martial arts punches in the video provides a new technical tool for martial arts education and research. There is no direct method to recognize traditional martial arts kung fu. We prop...
Recognizing traditional Chinese martial arts punches in the video provides a new technical tool for martial arts education and research. There is no direct method to recognize traditional martial arts kung fu. We propose a fast and effective solution to address the low resolution of the video in the process of recognition and the fact that having similar stances can lead to misjudged kung fu. Firstly, adding SPD-Conv to the backbone network of yolov5s can improve the recognition accuracy in low-resolution videos. Secondly, an attention mechanism module that reinforces useful features is added to the C3 module to extract target features and improve recognition accuracy fully. The experimental findings demonstrate that the suggested approach can identify eight conventional fist styles of martial arts, namely Bagua Palm, Bajiquan, Taijiquan, Maze Boxing, Mantis Boxing, Tongbei Boxing, Form Yi Boxing, and Wing Chun Boxing. Compared with target detection algorithms such as YOLOv4 and YOLOv5s, it performs better and can effectively handle the behavioral recognition of actors.
In light of the pandemic, traditional face-to-face classes have been forced to convert to online classes at a breakneck pace. And computer-assisted learning has matured in the use of face-to-face math classrooms. But ...
详细信息
The paper aims to compare online distance and blended instruction from students' point of view. The main objective of the research is to discover whether teachers enriched their blended lessons with tools that the...
详细信息
ISBN:
(纸本)9783031357305;9783031357312
The paper aims to compare online distance and blended instruction from students' point of view. The main objective of the research is to discover whether teachers enriched their blended lessons with tools that they had exploited in online distance instruction during covid-19 pandemic. In the Czech Republic, online distance instruction ended after 18 months in June 2021, been replaced by blended lessons since September 2021. Data were collected in autumn 2021, and one year later, in autumn 2022, by two online questionnaires. Each consisted of 35 items that required Likert-scaled, multiple-choice, and open answers. The research sample included 488 respondents who attended selected upper secondary and higher education institutions in the Czech Republic. The results were considered according to the type of institution (upper secondary or higher education) and structured using four criteria: (1) First contact and communication, (2) learning content acquisition, (3) learning content delivery and assessment, (4) Student's final feedback on online distance instruction. We anticipated that teachers would enrich their blended lessons using online distance experience;however, our expectations did not prove. Higher rate of autonomy in higher education students was detected with minor exceptions.
Environment perception tasks, including target detection, distance estimation, and other charges, are essential components of autonomous driving systems or automation systems. Among them, target distance value estimat...
详细信息
In the blooming of web technology, the rise of electronic commerce websites is rapidly increasing. Users started expressing their views similar to text reviews or comments. This research deals with the identification ...
详细信息
Due to the ongoing COVID-19 pandemic's impact on public health and safety, there is an immediate requirement for creative measures to limit the transmission of the virus. In the paper, we present a computer vision...
详细信息
暂无评论