IET Networks最新文献_第9页

The Study of Sports Events Broadcasting Design –The 2022 National Intercollegiate Athletic Games as an Example 体育赛事转播设计研究——以2022年全国校际运动会为例

IF 1.4

IET Networks Pub Date : 2022-10-14 DOI: 10.1109/IET-ICETA56553.2022.9971679

Chia-Yu Wu, Yu-Chi Chen, Ray-Chun Lu

引用次数: 0

Numerical Transient Analysis of a Wedge-Wave Ultrasonic Motor 楔波超声电机的瞬态数值分析

IF 1.4

IET Networks Pub Date : 2022-10-14 DOI: 10.1109/IET-ICETA56553.2022.9971509

Tai-Ho Yu, Chiao-Yi Huang, Tang-Wei Guan

引用次数: 0

Study on surface-enhanced Raman scattering performance of pitted GaN covered by Au layer Au层覆盖的点蚀GaN表面增强拉曼散射性能研究

IF 1.4

IET Networks Pub Date : 2022-10-14 DOI: 10.1109/IET-ICETA56553.2022.9971678

Chenjie Deng, T. Ko

引用次数: 0

Multicultural Knowledge and Information Literacy Learning Using AIoT Integration Technology 基于AIoT集成技术的多元文化知识与信息素养学习

IF 1.4

IET Networks Pub Date : 2022-10-14 DOI: 10.1109/IET-ICETA56553.2022.9971523

Hu Ming, LE Ti, Hsien Chung Chen, Thai Cheng Yu, Huang You Ming, Ying Hsun Lai

{"title":"Multicultural Knowledge and Information Literacy Learning Using AIoT Integration Technology","authors":"Hu Ming, LE Ti, Hsien Chung Chen, Thai Cheng Yu, Huang You Ming, Ying Hsun Lai","doi":"10.1109/IET-ICETA56553.2022.9971523","DOIUrl":"https://doi.org/10.1109/IET-ICETA56553.2022.9971523","url":null,"abstract":"This study uses AIoT combined with virtual-real integration technology to explore the cultural knowledge and information literacy learning of Indigenous people. In this era when few cultures need to be valued and preserved, this study uses virtual reality technology to turn the preservation of cultures into digitalization, so that complete objects can be preserved more safely and completely. The virtual reality space is used to further promote cultural and information literacy education. Learning through games, guided tours and teaching can strengthen the identity of one’s own culture and promote the cultural assets of some ethnic minorities. This research uses a broad range of Indigenous ethnic groups as an introduction to understanding, and then goes deep into other related cultures, celebrations, and festivals as secondary promotions, inspects or observes ethnic-related architectural structures, totems, pottery and other cultural relics, and at the same time achieves digital preservation and Provision of educational resources. This research also uses 3D printing technology to print and reproduce cultural objects to help learners strengthen their cultural understanding and identification concepts while learning new technologies.","PeriodicalId":46240,"journal":{"name":"IET Networks","volume":"13 1","pages":"1-2"},"PeriodicalIF":1.4,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73587530","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

Stability Analysis of a Grid-connected Large-scale DC Microgrid with a Hybrid Wind/Solar Farm 风力/太阳能混合电厂并网大型直流微电网稳定性分析

IF 1.4

IET Networks Pub Date : 2022-10-14 DOI: 10.1109/IET-ICETA56553.2022.9971657

Li Wang, Xianghua Peng, Hao-Sin Yang, Ching-Wen Tzeng, Jia-Ruei Zhang, Ching-Chuan Tseng

引用次数: 1

Energy-efficient and Accurate Object Detection Design on an FPGA Platform 基于FPGA平台的节能精确目标检测设计

IF 1.4

IET Networks Pub Date : 2022-10-14 DOI: 10.1109/IET-ICETA56553.2022.9971590

Kuan-Hung Chen, Chun-Wei Su, Jen-He Wang

{"title":"Energy-efficient and Accurate Object Detection Design on an FPGA Platform","authors":"Kuan-Hung Chen, Chun-Wei Su, Jen-He Wang","doi":"10.1109/IET-ICETA56553.2022.9971590","DOIUrl":"https://doi.org/10.1109/IET-ICETA56553.2022.9971590","url":null,"abstract":"With the innovation of hardware equipment, the development of artificial intelligence has broken through the limitations of the past. Neural networks have been continuously deepened to improve the accuracy of detection, so that the parameters have increased with a direct proportional rate. In this way, however, high energy consumption has been induced which obstacles the deployment of AI algorithms on portable devices. Therefore, the design of neural network must consider not only detection accuracy but also energy efficiency. In this paper, we analyzed energy consumption, detection accuracy and execution speed of our neural network model as well as the state-of-the-art models based on an FPGA platform called ZCU-102. We adopt the performance index from Low Power Computer Vision (LPCV) challenge which considers power dissipation, mean Average Precision (mAP) and Frames Per Second (FPS) at the same time to evaluate these models in an overall point of view. Agilev4 can achieve 59.9% of mAP@50 on MS COCO test-dev2017 datasets. If the input frame resolution is turned into $416times 416$, the processing frame rate can reach 20.7 FPS on ZCU-102. Compared with the state-of-the-art models, the LPCV score of Agilev4-416 is 1475. S which is 1.56 times of that of YOLOv4-416.","PeriodicalId":46240,"journal":{"name":"IET Networks","volume":"23 1","pages":"1-2"},"PeriodicalIF":1.4,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75334117","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

Multi-Vital Signs System with Sensor Fusion 传感器融合的多生命体征系统

IF 1.4

IET Networks Pub Date : 2022-10-14 DOI: 10.1109/IET-ICETA56553.2022.9971588

Chun-Liang Yang, Yi-Chen Lin, Ming-Che Chiang

引用次数: 0

Grid-Forming Inverter Control for Power Sharing Simulation in Microgrid 微电网电力共享仿真成网逆变器控制

IF 1.4

IET Networks Pub Date : 2022-10-14 DOI: 10.1109/IET-ICETA56553.2022.9971695

Yu-Jen Liu, Pei-Hao Sun, Po-Yu Hou

引用次数: 0

Bilingual Fake News Detection Algorithm Using Naïve Bayes and Support Vector Machine Models 基于Naïve贝叶斯和支持向量机模型的双语假新闻检测算法