2022 IEEE/ACIS 23rd International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)最新文献_第2页

A Deep Learning Model for Predicting Damaged Points via Random Vibration Signal Analysis 基于随机振动信号分析的深度学习损伤点预测模型

2022 IEEE/ACIS 23rd International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD) Pub Date : 2022-12-07 DOI: 10.1109/SNPD54884.2022.10051778

M. Sands, Jongyeop Kim, Jinki Kim, Seongsoo Kim

引用次数: 1

Undeniable Vaccine Production Protocol with Blockchain and IPFS 不可否认的疫苗生产协议与区块链和IPFS

2022 IEEE/ACIS 23rd International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD) Pub Date : 2022-12-07 DOI: 10.1109/SNPD54884.2022.10051792

Ming-Te Chen, Jih-Ting Wang

{"title":"Undeniable Vaccine Production Protocol with Blockchain and IPFS","authors":"Ming-Te Chen, Jih-Ting Wang","doi":"10.1109/SNPD54884.2022.10051792","DOIUrl":"https://doi.org/10.1109/SNPD54884.2022.10051792","url":null,"abstract":"Vaccination is the most effective way to prevent related diseases, and the age distribution ranges from infants to the elderly, so people are hesitant to get vaccinated when they are not sure whether the vaccine is safe, and due to the expiration of vaccines and vaccine fraud, people are concerned about the process of vaccine production. Concerned and distrustful of vaccine production companies, in order to prevent companies from modifying or falsifying the data in the vaccine production process without permission and making the data related to the production process correspond to the product. There is a secure and public data storage space as a traceable basis for problems can be used in the product in the future. This paper designs a vaccine product safety production process supervision system based on blockchain and IPFS, so that the current data of the vaccine production process is stored in a decentralized space, and the data of each machine in the production process of the vaccine enterprise is hashed and calculated. A digital signature together with the timestamp is used as the undeniable data of the machine to ensure the security and non-repudiation of the data generated by each machine during the vaccine production process, and the hash operation prevents the production data of the manufacturer from leaking. At the same time, it allows government examiners to track the production process of each batch of vaccine through encrypted data stored in the blockchain and IPFS to prevent companies from privately modifying or falsifying data, and allows examiners to pass certain data with a highly trusted Decentralized storage space to assist it in judging whether the enterprise has committed illegal activities, and use the above methods to implement a decentralized supervision system for the safety production process of vaccine products.","PeriodicalId":425462,"journal":{"name":"2022 IEEE/ACIS 23rd International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125029116","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

Human Factors for the Adoption of Blockchain Technology: A Case of the Australian Retail Sector 采用区块链技术的人为因素:以澳大利亚零售业为例

2022 IEEE/ACIS 23rd International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD) Pub Date : 2022-12-07 DOI: 10.1109/SNPD54884.2022.10051769

Ashim Nikunj Chapagain, S. Grandhi, J. Hassan

{"title":"Human Factors for the Adoption of Blockchain Technology: A Case of the Australian Retail Sector","authors":"Ashim Nikunj Chapagain, S. Grandhi, J. Hassan","doi":"10.1109/SNPD54884.2022.10051769","DOIUrl":"https://doi.org/10.1109/SNPD54884.2022.10051769","url":null,"abstract":"Australian retail sector has fallen victim to the recent lockdowns due to COVID-19 pandemic, which forced retailers to adopt new technologies to conduct business online. As a result, several businesses are attempting to use Blockchain technology to enhance security and promote transparency. Prior studies indicated the importance of human factors in technology adoption decisions. However, there is limited research on how human factors play out in blockchain technology adoption decisions in the Australian retail sector. Therefore, this study identifies the human factors and presents a research model to investigate their influence on technology adoption decisions in the Australian retail sector. The proposed study will use a quantitative approach and collects data using online survey questionnaires. This study will test the derived hypotheses using the structural equation modelling technique. This study is expected to help develop appropriate policies to enhance blockchain technology adoption in the Australian retail sector.","PeriodicalId":425462,"journal":{"name":"2022 IEEE/ACIS 23rd International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129677912","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

On-Site Monitoring of Forging Press: An Application of Volapu IIoT Suite 锻压机现场监控:Volapu IIoT套件的应用

2022 IEEE/ACIS 23rd International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD) Pub Date : 2022-12-07 DOI: 10.1109/SNPD54884.2022.10051772

Dashuai Guo, Po-Hsun Chueh, Deyan Liu, Joseph. K.H. Wang

引用次数: 0

A Non-normal Warning System for Dam Operation Using Machine Learning 基于机器学习的大坝非正常运行预警系统

2022 IEEE/ACIS 23rd International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD) Pub Date : 2022-12-07 DOI: 10.1109/SNPD54884.2022.10051787

Meng-Wei Chang, I. Liu, Chuan-Kang Liu, Wei-Min Lin, Zhi-Yuan Su, Jung-Shian Li

{"title":"A Non-normal Warning System for Dam Operation Using Machine Learning","authors":"Meng-Wei Chang, I. Liu, Chuan-Kang Liu, Wei-Min Lin, Zhi-Yuan Su, Jung-Shian Li","doi":"10.1109/SNPD54884.2022.10051787","DOIUrl":"https://doi.org/10.1109/SNPD54884.2022.10051787","url":null,"abstract":"A country's critical infrastructures are heavily related to the quality of life and safety of the people. As a result, the security protection aspect of critical infrastructure has gained more and more attention nowadays, especially the security of its industrial control system (ICS). To avoid the abnormal condition happening in the critical infrastructure which could put people in great danger, a system that is capable of detecting any abnormal state of the ICS promptly is needed. Fortunately, due to the dramatic growth of the applications of machine learning in recent years, some researchers have already proposed anomaly detection methods with machine learning to provide instant warning and protection for ICS. However, most of the existing anomaly detection research tends to only target one cause that harms the system, such as attacks on the network or physical equipment failures. The ICS will be more comprehensively secured if the anomaly detection system can cover multiple aspects of the ICS. Therefore, we have established a non-normal warning system with the Generative Adversarial Network (GAN) for dam operations in this study, which can detect various types of non-normal operations and notify relevant personnel right away. Note that we use real historical data to make predictions and verify our warning system, and we improve it even more by implementing the visual analysis method, which makes up the indecipherable results often found in unsupervised learning.","PeriodicalId":425462,"journal":{"name":"2022 IEEE/ACIS 23rd International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128124961","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

A Full-reference Video Quality Assessment Method for 4K UHD Video based on Multi-Feature Fusion 基于多特征融合的4K UHD视频全参考质量评估方法

2022 IEEE/ACIS 23rd International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD) Pub Date : 2022-12-07 DOI: 10.1109/SNPD54884.2022.10051773

Yi Geng, Ping Shi, Da Pan

引用次数: 0

StyleFormerGAN-VC:Improving Effect of few shot Cross-Lingual Voice Conversion Using VAE-StarGAN and Attention-AdaIN 使用VAE-StarGAN和Attention-AdaIN提高少镜头跨语言语音转换效果

2022 IEEE/ACIS 23rd International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD) Pub Date : 2022-12-07 DOI: 10.1109/SNPD54884.2022.10051811

Dengfeng Ke, Wenhan Yao, Ruixin Hu, Liangjie Huang, Qi Luo, Wentao Shu

引用次数: 0

Formal Specification and Verification of Drone System using TLA+: A Case Study 无人机系统使用TLA+的正式规范和验证:一个案例研究

2022 IEEE/ACIS 23rd International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD) Pub Date : 2022-12-07 DOI: 10.1109/SNPD54884.2022.10051801

Madhusmita Das, Biju R. Mohan, R. R. Guddeti

引用次数: 1

The Approach of Machine Learning to Optimize the Bank-Customer Interaction at Pandemic Epochs 大流行时期优化银行与客户互动的机器学习方法

2022 IEEE/ACIS 23rd International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD) Pub Date : 2022-12-07 DOI: 10.1109/SNPD54884.2022.10051784

H. Nieto-Chaupis

引用次数: 0

Graph Database-modelled Public Transportation Data for Geographic Insight Web Application 基于地理洞察Web应用程序的图形数据库模型公共交通数据

2022 IEEE/ACIS 23rd International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD) Pub Date : 2022-12-07 DOI: 10.1109/SNPD54884.2022.10051802

Marielet Guillermo, Maverick Rivera, Ronnie S. Concepcion, R. Billones, A. Bandala, E. Sybingco, A. Fillone, E. Dadios

{"title":"Graph Database-modelled Public Transportation Data for Geographic Insight Web Application","authors":"Marielet Guillermo, Maverick Rivera, Ronnie S. Concepcion, R. Billones, A. Bandala, E. Sybingco, A. Fillone, E. Dadios","doi":"10.1109/SNPD54884.2022.10051802","DOIUrl":"https://doi.org/10.1109/SNPD54884.2022.10051802","url":null,"abstract":"Public transportation is the key economic driver of a country. The true measure of a country's progress level is scaled on the number of people using the public transportation rather than of people riding private cars. In the Philippines, Western Visayas region (Region VI) is one of the regions which needs extensive support in public transport data organization. Due to the complexity of a public transport network, handling of big data becomes a bottleneck for transport planners. Addressing this problem will help them move forward to more important tasks such as improving transport service for passengers. In this study, a framework was designed in modeling public transportation data. TigerGraph database was utilized to preconnect data and to allow acquisition of geospatial intelligence on route while Django-python was used as the web framework for the geographic insight web application. With the framework and software solution developed, the study intended to make data organization scalable, visualize data relationships, and preconnect data. Preconnecting data in public transport such as terminals, PUV stops, and facilities in conjunction with massive parallel processing (MPP) function, speeds up data analysis. This also enables expanded capability of a system to return answers to queries which need deeper analysis.","PeriodicalId":425462,"journal":{"name":"2022 IEEE/ACIS 23rd International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126254096","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