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2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)最新文献

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Joint Human Detection and Scene Classification for Flood Search and Rescue Using Multi-task Learning 利用多任务学习为洪水搜救联合进行人员检测和场景分类
2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA) Pub Date : 2024-02-01 DOI: 10.1109/ACDSA59508.2024.10467277
Tricczia Karlisle Chavez, Jennifer Dela Cruz
{"title":"Joint Human Detection and Scene Classification for Flood Search and Rescue Using Multi-task Learning","authors":"Tricczia Karlisle Chavez, Jennifer Dela Cruz","doi":"10.1109/ACDSA59508.2024.10467277","DOIUrl":"https://doi.org/10.1109/ACDSA59508.2024.10467277","url":null,"abstract":"Flood is one of the disasters that cost numerous lives in the Philippines and in the world, as well. Search and rescue (SAR) operations are usually focused on general disasters and on the task of human detection alone. In this paper, a multitask learning (MTL) model is created to perform joint human detection and scene classification exclusively for flood occurrences. Various detection and classification models were tested to find YOLOv7 and MobileNetV2 to be the most suited for the tasks. Although the MTL model resulted to be 3.16% smaller than the two models combined, its processing time could still be improved. Upon evaluation, the model achieved an AP of 77.17% and an accuracy of 76.00%, which are not far off from other similar MTL works. Overall, this demonstrated promising capabilities for flood SAR applications.","PeriodicalId":518964,"journal":{"name":"2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)","volume":"143 ","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140528607","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
Nao: a promising tool for Pediatric Hospitals Nao：儿科医院大有可为的工具
2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA) Pub Date : 2024-02-01 DOI: 10.1109/ACDSA59508.2024.10467784
Michela Bogliolo, Filippo Bogliolo, Fiorella Operto, Micheli Emanuele
{"title":"Nao: a promising tool for Pediatric Hospitals","authors":"Michela Bogliolo, Filippo Bogliolo, Fiorella Operto, Micheli Emanuele","doi":"10.1109/ACDSA59508.2024.10467784","DOIUrl":"https://doi.org/10.1109/ACDSA59508.2024.10467784","url":null,"abstract":"Some cognitive disabilities are characterized by specific social, relational, and emotional behaviors. In order to study and encourage interaction between children with relational disorders, such as autistic spectrum disorders, the use of humanoid robots seems promising. Indeed, compared to the variability of the possible responses of a human interlocutor, the robot can be programmed to adapt to the needs of the child, creating relational situations that are predictable and emotionally reassuring. However, most setups involving the use of a humanoid robot for sessions with children do not include methods to characterize the children’s interaction and behavior. The primary objective of this study was to evaluate the use of NAO to improve the quality of hospitalization of children in the Department of Pediatric Neurology and Muscle Diseases, but also its effectiveness for the development and recovery of cognitive skills. The positive and encouraging results have provided a first proof of concept that the system can used in a clinical setting. In conclusion, Nao catalyzed the attention of the majority of children that remained high during all of the session, even in children whose clinical profile is characterized by a severe attention deficit.","PeriodicalId":518964,"journal":{"name":"2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)","volume":"37 ","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140528513","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
ACDSA 2024 First Page ACDSA 2024 首页
2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA) Pub Date : 2024-02-01 DOI: 10.1109/acdsa59508.2024.10467640
{"title":"ACDSA 2024 First Page","authors":"","doi":"10.1109/acdsa59508.2024.10467640","DOIUrl":"https://doi.org/10.1109/acdsa59508.2024.10467640","url":null,"abstract":"","PeriodicalId":518964,"journal":{"name":"2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)","volume":"63 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140528528","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
Ontology Evaluation for Shared Autonomous Vehicles 共享自动驾驶汽车本体评估
2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA) Pub Date : 2024-02-01 DOI: 10.1109/ACDSA59508.2024.10467278
Antόnio Reis Pereira, Pedro De Sousa Boieiro, Miguel Mira Da Silva, F. Santoro
{"title":"Ontology Evaluation for Shared Autonomous Vehicles","authors":"Antόnio Reis Pereira, Pedro De Sousa Boieiro, Miguel Mira Da Silva, F. Santoro","doi":"10.1109/ACDSA59508.2024.10467278","DOIUrl":"https://doi.org/10.1109/ACDSA59508.2024.10467278","url":null,"abstract":"The match between driverless cars and ridehailing is a new service called Shared Autonomous Vehicles (SAV), where a customer accesses the service through an app. This type of service, which exists already in some locations in the US and China, is still in an embryonic status, and to facilitate its expansion it does make sense to research the main concepts needed for the existence of SAV. Therefore, after having proposed an Ontology in previous research, the purpose now is the validation of that ontology, using GM San Francisco Cruise service, to demonstrate the referred ontology.","PeriodicalId":518964,"journal":{"name":"2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)","volume":"509 4","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140528566","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
Desirable Price Function and Value Ratio of Constant Function Market Makers 恒定功能做市商的理想价格功能和价值比率
2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA) Pub Date : 2024-02-01 DOI: 10.1109/ACDSA59508.2024.10467575
H. Kim, Jongwon Lee, Sora Kang, Seong Wook Chae, YongKwan Kim, Gyu M. Lee
{"title":"Desirable Price Function and Value Ratio of Constant Function Market Makers","authors":"H. Kim, Jongwon Lee, Sora Kang, Seong Wook Chae, YongKwan Kim, Gyu M. Lee","doi":"10.1109/ACDSA59508.2024.10467575","DOIUrl":"https://doi.org/10.1109/ACDSA59508.2024.10467575","url":null,"abstract":"Decentralized exchange was a revolution in cryptocurrency trading. Decentralized exchange presented a method to set prices mathematically without an order book. Order books have been a widely-known method of determining prices for over 400 years. Decentralized exchanges devised a constant function market maker to mathematically determine prices. Among them, constant product market makers are the most widely used. In addition, several constant function market makers have been proposed. However, there was no discussion about the desirable requirements of a constant-function market maker. In this paper, we discuss the desirable requirements of a constant function market maker and show that the constant product market maker is still the most desirable constant function market maker.","PeriodicalId":518964,"journal":{"name":"2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)","volume":"1218 13","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140528881","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
State-of-Charge assessment of Li-ion battery using Genetic Algorithm-Neural Network (GANN) 利用遗传算法-神经网络 (GANN) 评估锂离子电池的充电状态
2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA) Pub Date : 2024-02-01 DOI: 10.1109/ACDSA59508.2024.10467375
Ermanno Cardelli, Fabio Crescimbini, F. R. Fulginei, Michele Quercio, Lorenzo Sabino
{"title":"State-of-Charge assessment of Li-ion battery using Genetic Algorithm-Neural Network (GANN)","authors":"Ermanno Cardelli, Fabio Crescimbini, F. R. Fulginei, Michele Quercio, Lorenzo Sabino","doi":"10.1109/ACDSA59508.2024.10467375","DOIUrl":"https://doi.org/10.1109/ACDSA59508.2024.10467375","url":null,"abstract":"The accurate estimation of State-of-Charge (SoC) is crucial for optimal performance and safe operation of lithium batteries. Traditional methods for SoC estimation have limitations in terms of robustness and accuracy, leading to the exploration of alternative techniques such as neural networks (NN). Neural networks are highly effective mathematical models that take inspiration from the organization and operation of the human brain, and their ability to handle complex nonlinear relationships makes them ideal for SoC estimation. The aim of this work is to train a NN with an optimized architecture for SoC predicting. In particular a Genetic Algorithm Neural Network (GANN) was used with three hidden layers to evaluate the state of charge of the lithium battery. The results show that an average error of 2% is riched on the test set. So the GANN method can be considered promising for this kind of evaluation.","PeriodicalId":518964,"journal":{"name":"2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)","volume":"175 ","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140528160","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
Concrete Crack Detection Using Multi-Source Data Augmentation in Deep Learning Models 利用深度学习模型中的多源数据增强技术检测混凝土裂缝
2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA) Pub Date : 2024-02-01 DOI: 10.1109/ACDSA59508.2024.10467321
Daniel Einarson, Dawit Mengistu
{"title":"Concrete Crack Detection Using Multi-Source Data Augmentation in Deep Learning Models","authors":"Daniel Einarson, Dawit Mengistu","doi":"10.1109/ACDSA59508.2024.10467321","DOIUrl":"https://doi.org/10.1109/ACDSA59508.2024.10467321","url":null,"abstract":"Image processing tasks have benefited from deep learning models based on convolutional neural networks. However, the success of image classification models is dependent on several factors such image quality, dataset size and class distribution. Achieving acceptable accuracies with datasets not meeting these requirements is challenging. Domain specific dataset augmentation techniques have been proposed to mitigate the problem. This paper investigates adaptation of multi-source datasets as an augmentation approach to improve accuracy of crack detection in bridge concrete structures from low quality images in limited and imbalanced datasets. While experimental results show that data augmentation can improve accuracy of detection, we anticipate achieving even better results by combining this approach with generative machine learning models in future research.","PeriodicalId":518964,"journal":{"name":"2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)","volume":"33 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140528947","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
Future Office: A Comparative Study on the Acceptance and Utilization of Generative AI Technologies 未来办公室：生成式人工智能技术的接受和利用比较研究
2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA) Pub Date : 2024-02-01 DOI: 10.1109/ACDSA59508.2024.10467651
Laura Bies, Sophie Schmidt, Stefan Morana, Dirk Werth
{"title":"Future Office: A Comparative Study on the Acceptance and Utilization of Generative AI Technologies","authors":"Laura Bies, Sophie Schmidt, Stefan Morana, Dirk Werth","doi":"10.1109/ACDSA59508.2024.10467651","DOIUrl":"https://doi.org/10.1109/ACDSA59508.2024.10467651","url":null,"abstract":"As Generative AI technologies continue to evolve, understanding their impact and potential for integration across various sectors becomes increasingly important. This paper explores the acceptance and utilization of Generative AI in diverse industries through the 'Knowledge Behavior Gap Model'. Analyzing survey data from Germany via Structural Equation Modeling, it uncovers the significant impact of knowledge and acceptance on the behavioral adoption of these technologies. This research contributes to understanding how knowledge dissemination and acceptance are crucial for integrating innovative technologies like Generative AI in organizations. It fills a gap in existing literature and offers practical implications for organizations seeking to harness Generative AI for improved efficiency and innovation. This study stands out for its novel approach in linking knowledge, acceptance, and usage of Generative AI, highlighting its significance in the strategic technology adoption landscape.","PeriodicalId":518964,"journal":{"name":"2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)","volume":"46 21","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140528980","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
ACDSA 2024 Presenter List ACDSA 2024 演讲者名单
2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA) Pub Date : 2024-02-01 DOI: 10.1109/acdsa59508.2024.10468021
{"title":"ACDSA 2024 Presenter List","authors":"","doi":"10.1109/acdsa59508.2024.10468021","DOIUrl":"https://doi.org/10.1109/acdsa59508.2024.10468021","url":null,"abstract":"","PeriodicalId":518964,"journal":{"name":"2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)","volume":"124 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140528609","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
Adoption of AR (Augmented Reality) in BIM (Building information modelling) enabled FM (Facilities Management): a systematic review 在支持 BIM（建筑信息模型）的 FM（设施管理）中采用 AR（增强现实技术）：系统性综述
2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA) Pub Date : 2024-02-01 DOI: 10.1109/ACDSA59508.2024.10467787
Sundas Zaman, T. Elhag, Mohammed Salama, Shereen Nassar
{"title":"Adoption of AR (Augmented Reality) in BIM (Building information modelling) enabled FM (Facilities Management): a systematic review","authors":"Sundas Zaman, T. Elhag, Mohammed Salama, Shereen Nassar","doi":"10.1109/ACDSA59508.2024.10467787","DOIUrl":"https://doi.org/10.1109/ACDSA59508.2024.10467787","url":null,"abstract":"During the last decade many governments worldwide introduced mandatory regulations of BIM implementation. Accordingly, BIM has been widely adopted within the industry supply chain. Rather than being a software, BIM serves as a process that has the ability to pillar any project’s complete lifecycle. Despite the potentials of BIM being recognized, the studies on its adoption are still limited, in particular at the stage of FM, which is considered to be the lengthiest and the costliest one in the entire project’s lifecycle. Therefore, there is a need for BIM to mature and adopt by blending with other technologies in order to support FM more efficiently. Augmented Reality (AR) is a technology which is being utilized within the construction sector and has demonstrated benefits in managing operations and maintenance (O&M) of assets. AR superimposes digital material on top of real-world environment; hence the information delivered out of AR is reliable, traceable and meaningful. Various current studies on the implementation of AR in FM have focused on developing conceptual models or frameworks to enhance the management of facilities. This paper is addressing a gap of systematic literature review (SLR) for implementing AR in BIM enabled FM. The primary aim is to evaluate the advantages of integrating AR and BIM to support FM teams leading to an efficient management of operations and maintenance of assets. The findings of this work helps in expanding the limited body of evidence by summarizing the current status of AR’s use in FM, shedding light on the important gaps in research, and helping to identify directions that future research can take.","PeriodicalId":518964,"journal":{"name":"2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)","volume":"147 ","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140528964","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
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