2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)最新文献_第3页

An Integrated Approach to Near-duplicate Image Detection 一种近重复图像检测的集成方法

2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) Pub Date : 2023-02-20 DOI: 10.1109/ICAIIC57133.2023.10067005

Heesung Yang, Hyeyoung Park

引用次数: 0

Design of poultry farm disease detection system based on K-Nearest Neighbor Algorithm 基于k -最近邻算法的家禽养殖场疾病检测系统设计

2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) Pub Date : 2023-02-20 DOI: 10.1109/ICAIIC57133.2023.10067067

Seung-Jae Kim, H. Yoe, Meong-hun Lee

{"title":"Design of poultry farm disease detection system based on K-Nearest Neighbor Algorithm","authors":"Seung-Jae Kim, H. Yoe, Meong-hun Lee","doi":"10.1109/ICAIIC57133.2023.10067067","DOIUrl":"https://doi.org/10.1109/ICAIIC57133.2023.10067067","url":null,"abstract":"Every year, poultry farms suffer great damage from avian influenza outbreaks. The outbreak of avian influenza lowers the egg production rate and has a great impact on the market price. Countries around the world are working simultaneously to prevent the spread of avian influenza. However, despite these efforts, avian influenza still outbreaks every year, resulting in large-scale deaths of chickens. Therefore, in this paper, we propose a disease detection system based on K-Nearest Neighbor Algorithm to prevent large-scale spread of avian influenza. We used decrease in feed intake and a decrease in egg laying rate, which are the main symptoms of avian influenza when it outbreaks, as the standard data for the system's decision. If avian influenza is suspected according to the data analysis result, a push message is sent to the farmer's cell phone, and the farmer checks the information on the area suspected of avian influenza through the application linked with the system and transmits it to the server of the national livestock quarantine system. This is how the system is designed to work. Through this disease detection system, we expect that it will be possible to prevent the spread of avian influenza to the surrounding areas and neighboring farms in advance and to contribute to preventing damage to farms.","PeriodicalId":105769,"journal":{"name":"2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","volume":"158 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132421250","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

Interpretable Anomaly Detection for Lung Sounds Using Topology 基于拓扑的可解释肺音异常检测

2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) Pub Date : 2023-02-20 DOI: 10.1109/ICAIIC57133.2023.10067072

Ryosuke Wakamoto, Shingo Mabu

引用次数: 0

Radar Signal Abnormal Point Classification based on Camera-Radar Sensor Fusion 基于摄像头-雷达传感器融合的雷达信号异常点分类

2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) Pub Date : 2023-02-20 DOI: 10.1109/ICAIIC57133.2023.10067112

Hyojeong Seo, Dong Seog Han

引用次数: 0

Simultaneously Transmitting and Reflecting-Reconfigurable Intelligent Surfaces with Hardware Impairment and Phase Error 同时发射和反射-具有硬件损伤和相位误差的可重构智能曲面

2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) Pub Date : 2023-02-20 DOI: 10.1109/ICAIIC57133.2023.10067009

Waqas Khalid, M. A. U. Rehman, Trinh Van Chien, Heejung Yu

引用次数: 1

Federated Learning-Enabled Digital Twin for Smart Additive Manufacturing Industry 智能增材制造行业的联邦学习支持数字孪生

2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) Pub Date : 2023-02-20 DOI: 10.1109/ICAIIC57133.2023.10067043

Made Adi Paramartha Putra, S. Rachmawati, Revin Naufal Alief, Love Allen Chijioke Ahakonye, Augustin Gohil, Dong‐Seong Kim, Jae-Min Lee

{"title":"Federated Learning-Enabled Digital Twin for Smart Additive Manufacturing Industry","authors":"Made Adi Paramartha Putra, S. Rachmawati, Revin Naufal Alief, Love Allen Chijioke Ahakonye, Augustin Gohil, Dong‐Seong Kim, Jae-Min Lee","doi":"10.1109/ICAIIC57133.2023.10067043","DOIUrl":"https://doi.org/10.1109/ICAIIC57133.2023.10067043","url":null,"abstract":"This work introduces a novel architecture of federated learning (FL)-enabled digital twin (DT) for the smart additive manufacturing industry, especially 3D printing. The proposed architecture tackles the previous limitation of the centralized approach that requires a large number of communication costs by efficiently updating the fault detection model on each server with distributed learning methods. A CNN-based model is also proposed to efficiently learn sensory data from a 3D printer for a fast and reliable fault detection model. To provide a robust system in intelligent manufacturing, a DT platform is also designed for seamless monitoring and control purposes. The proposed DT platform is able to initiate, monitor, and terminate the 3D printing process of physical assets via a virtual environment. Based on the simulation results, the FL process demonstrates that the proposed CNN-based model is superior to other DL models with 8% accuracy enlargement while maintaining the low training period. Furthermore, experimental work is conducted to evaluate the proposed architecture with real-world devices. Finally, the findings indicate that the overall latency given by the proposed system is relatively low, with an average of 1026.16 ms from the physical 3D printer to the DT platform.","PeriodicalId":105769,"journal":{"name":"2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","volume":"40 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115638652","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

Generalized Spatio-Temporal Adaptive Normalization Framework 广义时空自适应归一化框架

2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) Pub Date : 2023-02-20 DOI: 10.1109/ICAIIC57133.2023.10067068

Neeraj Kumar, A. Narang

引用次数: 0

Cost-Effective Peak Shaving Strategy Based on Clustering and XGBoost Algorithm 基于聚类和XGBoost算法的高效调峰策略

2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) Pub Date : 2023-02-20 DOI: 10.1109/ICAIIC57133.2023.10067091

Sol Lim, Rahma Gantassi, Yonghoon Choi

引用次数: 0

Captioning Remote Sensing Images Using Transformer Architecture 使用Transformer架构为遥感图像添加字幕

2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) Pub Date : 2023-02-20 DOI: 10.1109/ICAIIC57133.2023.10067039

Wrucha Nanal, M. Hajiarbabi

{"title":"Captioning Remote Sensing Images Using Transformer Architecture","authors":"Wrucha Nanal, M. Hajiarbabi","doi":"10.1109/ICAIIC57133.2023.10067039","DOIUrl":"https://doi.org/10.1109/ICAIIC57133.2023.10067039","url":null,"abstract":"Image Captioning aspires to achieve a description of images with machines as a combination of Computer Vision (CV) and Natural Language Processing (NLP) fields. The current state of the art for image captioning use the Attention-based Encoder-Decoder model. The Attention-based model uses an ‘Attention mechanism’ that focuses on a particular section of the image to generate its corresponding caption word. The NLP side of this model uses Long Short-Term Memory (LSTM) for word generation. Attention-based models did not emphasize the relative arrangement of words in a caption thereby, ignoring the context of the sentence. Inspired by the versatility of Transformers in NLP, this work tries to utilise its architecture features for the Image Captioning use case. This work also makes use of a pretrained Bidirectional Encoder Representation of Transformer (BERT) which generates a contextually rich embedding of a caption. The Multi-Head Attention of the Transformer establishes a strong correlation between the image and contextually aware caption. This experiment is performed on the Remote Sensing Image Captioning Dataset. The results of the model are evaluated using NLP evaluation metrics such as Bilingual Evaluation Understudy 1–4 (BLEU), Metric for Evaluation of Translation with Explicit ORdering (METEOR) and Recall-Oriented Understudy for Gisting Evaluation (ROUGE). The proposed model shows better results for a few of the metrics.","PeriodicalId":105769,"journal":{"name":"2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123530105","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

PCR Radar-Based Counting System for Packaged Objects 基于PCR雷达的包装物计数系统

2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) Pub Date : 2023-02-20 DOI: 10.1109/ICAIIC57133.2023.10066968

Joon-Il Cho, Soorim Yang, Jae-Hoon Kim

引用次数: 0