2023 9th International Conference on Applied System Innovation (ICASI)最新文献

Design and Development of an Interactive Chess Board for Quarto 四重奏互动棋盘的设计与开发

2023 9th International Conference on Applied System Innovation (ICASI) Pub Date : 2023-04-21 DOI: 10.1109/ICASI57738.2023.10179542

Yu-Wei Chou, Chen-Wei Liao, Jin-Ruei Shih, Jui-Huan Kuo, Kai-Yi Wong

引用次数: 0

The Study of Improving the Adaptive FullSubNet+ Speech Enhancement Framework with Selective Wavelet Packet Decomposition Sub-Band Features 基于选择性小波包分解子带特征的自适应全子网+语音增强框架改进研究

2023 9th International Conference on Applied System Innovation (ICASI) Pub Date : 2023-04-21 DOI: 10.1109/ICASI57738.2023.10179539

Ping-Chen Wu, Pei-Fang Li, Zong-Tai Wu, J. Hung

引用次数: 0

Thermal Image Analysis of Conductive Joints of Flexible Printed Circuit (FPC) using Anisotropic Conductive Films (ACF) Bonding 各向异性导电膜(ACF)键合柔性印刷电路(FPC)导电接头的热图像分析

2023 9th International Conference on Applied System Innovation (ICASI) Pub Date : 2023-04-21 DOI: 10.1109/ICASI57738.2023.10179585

Chao‐Ming Lin

{"title":"Thermal Image Analysis of Conductive Joints of Flexible Printed Circuit (FPC) using Anisotropic Conductive Films (ACF) Bonding","authors":"Chao‐Ming Lin","doi":"10.1109/ICASI57738.2023.10179585","DOIUrl":"https://doi.org/10.1109/ICASI57738.2023.10179585","url":null,"abstract":"This study is based on the thermal image measurement technology, aiming at the experimental record of the transient process of heat generation, heat dissipation and heat stability of the conductive ball’s resistance through current conduction for the Anisotropic Conductive Film (ACF) assembly specimen after the bending load. The test vehicle of flexible printed circuit (FPC) is conducted by the thermos-compression bonding of the flexible circuit and the transparent substrate (PET / coated ITO) using ACF. The conductive balls in the ACF will be compressed and rupture during the thermos-compression process, and then play the role of electrical conduction. However, after the FPC assembly are subjected to different bending loads, the conductive balls may cause severe cracking or crushing, which will lead to an increase in the resistance of the conductive balls. The thermal image records of this research can be used to obtain the resistance variations before and after loading. Finally, the bending resistance and electrical conduction quality of the ACF can be evaluated by the temperature distributions and average temperature values after the conductive joints resistances have stabilized heat dissipation.","PeriodicalId":281254,"journal":{"name":"2023 9th International Conference on Applied System Innovation (ICASI)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116647075","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

GNN-based Approach for User Retweet Behavior Prediction 基于gnn的用户转发行为预测方法

2023 9th International Conference on Applied System Innovation (ICASI) Pub Date : 2023-04-21 DOI: 10.1109/ICASI57738.2023.10179520

Shih-Yung Hsu, Yi-Hsuan Lee, Jing-Wei Huang

引用次数: 0

Leveraging the Objective Intelligibility and Noise Estimation to Improve Conformer-Based MetricGAN 利用客观可理解性和噪声估计改进基于一致性的度量gan

2023 9th International Conference on Applied System Innovation (ICASI) Pub Date : 2023-04-21 DOI: 10.1109/ICASI57738.2023.10179495

Chia Dai, Wan-Ling Zeng, Jia-Xuan Zeng, J. Hung

{"title":"Leveraging the Objective Intelligibility and Noise Estimation to Improve Conformer-Based MetricGAN","authors":"Chia Dai, Wan-Ling Zeng, Jia-Xuan Zeng, J. Hung","doi":"10.1109/ICASI57738.2023.10179495","DOIUrl":"https://doi.org/10.1109/ICASI57738.2023.10179495","url":null,"abstract":"Conformer-based MetricGAN (CMGAN) is a deep neural network (DNN)-based speech enhancement (SE) method that uses time-frequency (TF) domain features to learn a novel conformer-wise generative network, and it has demonstrated excellent SE performance in terms of various perceptual evaluation metrics.In this study, we propose to revise CMGAN along three directions. To begin, we incorporate phone-fortified perceptual loss (PFPL) into its loss function. The PFPL is calculated using latent representations of speech from the wav2vec module. With PFPL as part of the loss function can effectively use perceptual and linguistic speech information to direct CMGAN model training. Next, we revise the discriminator output by adding the STOI values. The original discriminator is trained to estimate the enhanced PESQ score by taking both clean and enhanced spectrum as inputs as well as the associated PESQ label. In other words, the initial discriminator only takes into account the PESQ score. By further considering STOI, we expect to improve the discriminator. Finally, we add noise label estimation to the entire CMGAN framework. The original CMGAN only calculates the disparity between the estimated value provided by the model and the clean target with clean labels. Instead, we further take into account noise estimation loss, which can show the discrepancy between the predicted noise and the noise label.The Voicebank-Demand dataset is used for the evaluation experiments. According to the experimental results, the revised CMGAN outperforms the original by gaining greater scores on objective perceptual metrics including PESQ and STOI. As a result, we confirm the success of the presented revisions in CMGAN.","PeriodicalId":281254,"journal":{"name":"2023 9th International Conference on Applied System Innovation (ICASI)","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114899156","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

Anchor-free Hand-detection with Lightweight Design for Smart Factories 智能工厂轻量化设计的无锚手检测

2023 9th International Conference on Applied System Innovation (ICASI) Pub Date : 2023-04-21 DOI: 10.1109/ICASI57738.2023.10179522

Guan-Ting Liu, Ching-Hu Lu

{"title":"Anchor-free Hand-detection with Lightweight Design for Smart Factories","authors":"Guan-Ting Liu, Ching-Hu Lu","doi":"10.1109/ICASI57738.2023.10179522","DOIUrl":"https://doi.org/10.1109/ICASI57738.2023.10179522","url":null,"abstract":"Nowadays, good hand detection has been proven helpful for a smart assembly factory to improve work efficiency. Particularly, an assembly line for an Industry 4.0 factory needs to manufacture a diverse range of products, its assemblers must acquire knowledge of distinct assembly processes and inspection procedures. Therefore, hand detection via cameras has become a prevalent method of aiding the assembly process in smart factories. However, existing hand detection in a smart factory still relies on a powerful back-end server for image processing due to the limited computing power of a camera. To address this issue, we propose a “Lightweight Anchor-Free Hand-detection Model” (LAFHDM), and the resultant deep neural networks (DNNs) can directly fit into a smart camera to detect assemblers’ hand positions to verify the correctness of assembly steps. The proposal is also in accordance with the inevitable trends of edge computing and the Internet of Things. The experimental results show that the inference speed of the LAFHDM is at least 40 times faster, the accuracy can be 27.41% higher than that of previous models. Moreover, the inference speed of an edge camera is improved approximately three times.","PeriodicalId":281254,"journal":{"name":"2023 9th International Conference on Applied System Innovation (ICASI)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129097103","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

Pre-Conference Schedule 会前安排

2023 9th International Conference on Applied System Innovation (ICASI) Pub Date : 2023-04-21 DOI: 10.1109/icasi57738.2023.10179561

引用次数: 0

Development and Implementation of Automatic Agricultural Spraying Robot 农业自动喷洒机器人的研制与实现

2023 9th International Conference on Applied System Innovation (ICASI) Pub Date : 2023-04-21 DOI: 10.1109/ICASI57738.2023.10179586

Jeng-Dao Lee, Cheng-Yen Chang, Kuan-Wei Chen, Lin-Yin Chen, Yu-Rou Tu

引用次数: 0

Optical Design of Near-Infrared Telescope for CubeSat Remote-Sensing Instrument with InGaAs Image Sensor 基于InGaAs图像传感器的立方体卫星遥感近红外望远镜光学设计

2023 9th International Conference on Applied System Innovation (ICASI) Pub Date : 2023-04-21 DOI: 10.1109/ICASI57738.2023.10179556

Yu-Ting Huang, Yi-Chin Fang, Sheng-Feng Lin

引用次数: 0

C-NWDAF: Designing a Cloud-based Multi-Model Architecture for Network Data Analytics Function C-NWDAF:为网络数据分析功能设计基于云的多模型架构

2023 9th International Conference on Applied System Innovation (ICASI) Pub Date : 2023-04-21 DOI: 10.1109/ICASI57738.2023.10179576

Chien-Hsuan Chen, Huaijie Huang

引用次数: 0