2021 2nd Information Communication Technologies Conference (ICTC)最新文献_第2页

Reinforced Learning in Children through a Stress Warning Unit 通过压力警告单元加强儿童的学习

2021 2nd Information Communication Technologies Conference (ICTC) Pub Date : 2021-05-07 DOI: 10.1109/ICTC51749.2021.9441507

Napat Chaowadee, Phuwanate Lertsiriyothin, Thanaphat Phuangkhemkhao, Theerasak Chanwimalueang

{"title":"Reinforced Learning in Children through a Stress Warning Unit","authors":"Napat Chaowadee, Phuwanate Lertsiriyothin, Thanaphat Phuangkhemkhao, Theerasak Chanwimalueang","doi":"10.1109/ICTC51749.2021.9441507","DOIUrl":"https://doi.org/10.1109/ICTC51749.2021.9441507","url":null,"abstract":"Stress is one of the main factors that interrupts learning in children. Such stress can be activated by environment or daily activities especially at the primary school. Children must adapt themselves to learn new subjects and contents along with difficult assignments that could lead to an occurrence of stress in children. When stress occurs, the body releases cortisol which negatively affect the cortex (involves in learning and thinking processes) and hippocampus (involved in the development of intelligence and emotion). This research thus aims to develop a wearable device to measure stress levels in children. This would assist parents and teachers to notice a change in stress during children’ study or performing any activities. To estimate stress levels, we processed the pulse rate variability (PRV) which extracted from photoplethysmogram (PPG) signals. We employed the optical reflection sensors to obtain the PPG signals on the wrist area. The ESP32 microcontroller was programmed to acquire and process such PPG signals. Quantitative stress levels were then calculated from the average distinct frequency (fd) of the PRV in the range of 0.04 – 0.15 Hz which reflects by the parasympathetic and sympathetic nervous systems when perceived stress. In our experiments, we conducted the standard trier social stress test whereby cognitive stress periods (an arithmetic test) and a relax period were performed while wearing our device. We then calculated fd in a particular period of 10 healthy participants. It was found that stress levels can be divided into 4 groups based on a calculation of fd ratio (%): (i) no stressor 0 – 25%, (ii) low stress or 25 - 50%, (iii) moderate stress or 50 - 75% and (iv) high stress or 75 - 100%. These results indicate a potential to monitor stress in children during learning activities efficiently and would possibly enable a self-awareness for coping stress in children.","PeriodicalId":352596,"journal":{"name":"2021 2nd Information Communication Technologies Conference (ICTC)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121185298","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Promoting Security Mindset through Hands-on Exercises for Computer Science Undergraduate Students 通过计算机科学本科学生的动手练习促进安全思维

2021 2nd Information Communication Technologies Conference (ICTC) Pub Date : 2021-05-07 DOI: 10.1109/ICTC51749.2021.9441588

Thitima Srivatanakul, Tyshaun Moore

引用次数: 2

Intelligent Cyclic Spectrum Features Based Modulation Recognition Design 基于循环频谱特征的智能调制识别设计

2021 2nd Information Communication Technologies Conference (ICTC) Pub Date : 2021-05-07 DOI: 10.1109/ICTC51749.2021.9441585

Xintong Lin, Lin Zhang, Zhiqiang Wu

引用次数: 0

Probabilistic Hesitation Fuzzy Linguistic Preference Relationship and Its Application in Distance Education 概率犹豫模糊语言偏好关系及其在远程教育中的应用

2021 2nd Information Communication Technologies Conference (ICTC) Pub Date : 2021-05-07 DOI: 10.1109/ICTC51749.2021.9441564

Xiuming Chen, Chouxuan Wang, Aixiang He, Chenchen Zhang, Xianchuan Wang

引用次数: 0

High-Precision Single Base Station Localization Assisted by Beamforming 波束成形辅助的高精度单基站定位

2021 2nd Information Communication Technologies Conference (ICTC) Pub Date : 2021-05-07 DOI: 10.1109/ICTC51749.2021.9441655

Yin Liu, Ziyi Gong, Zaichen Zhang, Liang Wu, Renjie Gui, J. Dang, Bingcheng Zhu

引用次数: 1

Exploration on the Talent Training Mode of the Industry Education Integration and School Enterprise Cooperation of Applied Undergraduate Majors 应用型本科专业产教融合校企合作人才培养模式探索

2021 2nd Information Communication Technologies Conference (ICTC) Pub Date : 2021-05-07 DOI: 10.1109/ICTC51749.2021.9441650

W. Ding, Hongyi Wang

引用次数: 1

TBSN: Sparse-Transformer Based Siamese Network for Few-Shot Action Recognition 基于稀疏变压器的Siamese网络的少镜头动作识别

2021 2nd Information Communication Technologies Conference (ICTC) Pub Date : 2021-05-07 DOI: 10.1109/ICTC51749.2021.9441568

Jianglong He, Shuai Gao

{"title":"TBSN: Sparse-Transformer Based Siamese Network for Few-Shot Action Recognition","authors":"Jianglong He, Shuai Gao","doi":"10.1109/ICTC51749.2021.9441568","DOIUrl":"https://doi.org/10.1109/ICTC51749.2021.9441568","url":null,"abstract":"Few-shot learning(FSL) problem is challenging task, which aims to recognize novel categories with only a few labeled samples. It has aroused significant attentions in both industry and academia. Most existing few-shot learning methods focus on image classification, only few works focus on few-shot video classification. For few-shot video classification problem, obtaining temporal features and designing a good distance measurement are two main challenges. In this work, we address these challenges by proposing a Sparse-Transformer Based Siamese Network termed as TBSN for few-shot action recognition which can lever-age the relative relationship and importance of frames to mine temporal characteristics of video. A relation module based on alignment and feedforward network is designed to learn a good distance measurement. In TBSN, we propose two novel modules: (1) an embedding module based on Sparse-Transformer for fusing information from different video clips to effectively capture temporal information of frames, and (2) a relation module based on alignment and feedforward network, which can discover subtle differences between samples. We conduct extensive experiments on two challenging real-world dataset(UCF101 and Kinetics 400) and compared with other state-of-the-art methods, the results demonstrate its superior performance.","PeriodicalId":352596,"journal":{"name":"2021 2nd Information Communication Technologies Conference (ICTC)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131121974","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Teaching Method Innovation in the Course of Metal Structure of Construction Machinery 工程机械金属结构课程教学方法的创新

2021 2nd Information Communication Technologies Conference (ICTC) Pub Date : 2021-05-07 DOI: 10.1109/ICTC51749.2021.9441571

Hongsheng Zhang, H. Ao

{"title":"Teaching Method Innovation in the Course of Metal Structure of Construction Machinery","authors":"Hongsheng Zhang, H. Ao","doi":"10.1109/ICTC51749.2021.9441571","DOIUrl":"https://doi.org/10.1109/ICTC51749.2021.9441571","url":null,"abstract":"With the continuous development of teaching methods in pedagogy, it is necessary to introduce some new ideas and tools of visual communication into the teaching of undergraduate mechanical courses, such as the metal structure of construction machinery, and improve students' enthusiasm for learning and personalization. The mind map is introduced into classroom teaching as a visual communication tool, which is convenient for students to master the curriculum’s focus and grasp the course’s threads. Especially at the beginning of the curriculum, the mind map introduces the course content, reviews the course system at the end stage, and guides as the roadmap for each classroom teaching lesson. There are different buckling concepts in the course, which are difficult to understand for the students, so the finite element method’s simulation videos and figures are applied to help students clarify the differences in buckling problems. Simulation of finite element method is adopted into classroom teaching, assignment and experiments. The use of finite element simulation can verify teaching content and critical knowledge points while avoiding the simple derivation of theories and formulas. Meanwhile, the finite element simulation in assignments and experiments can verify manual calculation results and experimental results. Through student feedback and academic performance analysis, the teaching method innovation can help improve student learning outcomes.","PeriodicalId":352596,"journal":{"name":"2021 2nd Information Communication Technologies Conference (ICTC)","volume":"186 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132024912","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multichannel Bidirectional Signal Transmission Delay Cancellation Technology Based on Time-Frequency Analysis 基于时频分析的多通道双向信号传输延时抵消技术

2021 2nd Information Communication Technologies Conference (ICTC) Pub Date : 2021-05-07 DOI: 10.1109/ICTC51749.2021.9441602

Ting Gao, Jinhong Bian, Rugang Wang, Feng Zhou

引用次数: 0

DOA Estimation Using Non-uniform Sparse Array with Unknown Mutual Coupling 未知互耦非均匀稀疏阵列的DOA估计

2021 2nd Information Communication Technologies Conference (ICTC) Pub Date : 2021-05-07 DOI: 10.1109/ICTC51749.2021.9441626

Qiting Zhang, Pan Li, Kehui Zhu, Jianfeng Li, Xiaofei Zhang

引用次数: 0