Proceedings of the ... Annual Hawaii International Conference on System Sciences. Annual Hawaii International Conference on System Sciences最新文献_第4页

We Did Start the Fire: r/wallstreetbets, 'Flash movements' and the Gamestop Short-Squeeze We Did Start the Fire: r/wallstreetbets、“Flash movement”和Gamestop Short-Squeeze

Proceedings of the ... Annual Hawaii International Conference on System Sciences. Annual Hawaii International Conference on System Sciences Pub Date : 2022-08-01 DOI: 10.5465/ambpp.2022.32

P. Schou, E. Bucher, Matthias Waldkirch, Eduard Grünwald

引用次数: 2

Competitive DER Aggregation for Participation in Wholesale Markets 参与批发市场的竞争性DER聚合

Proceedings of the ... Annual Hawaii International Conference on System Sciences. Annual Hawaii International Conference on System Sciences Pub Date : 2022-07-01 DOI: 10.48550/arXiv.2207.00290

Cong Chen, A. Alahmed, T. Mount, Lang Tong

引用次数: 3

Hebbian Continual Representation Learning 连续表示学习

Proceedings of the ... Annual Hawaii International Conference on System Sciences. Annual Hawaii International Conference on System Sciences Pub Date : 2022-06-28 DOI: 10.48550/arXiv.2207.04874

P. Morawiecki, Andrii Krutsylo, Maciej Wołczyk, Marek Śmieja

{"title":"Hebbian Continual Representation Learning","authors":"P. Morawiecki, Andrii Krutsylo, Maciej Wołczyk, Marek Śmieja","doi":"10.48550/arXiv.2207.04874","DOIUrl":"https://doi.org/10.48550/arXiv.2207.04874","url":null,"abstract":"Continual Learning aims to bring machine learning into a more realistic scenario, where tasks are learned sequentially and the i.i.d. assumption is not preserved. Although this setting is natural for biological systems, it proves very difficult for machine learning models such as artificial neural networks. To reduce this performance gap, we investigate the question whether biologically inspired Hebbian learning is useful for tackling continual challenges. In particular, we highlight a realistic and often overlooked unsupervised setting, where the learner has to build representations without any supervision. By combining sparse neural networks with Hebbian learning principle, we build a simple yet effective alternative (HebbCL) to typical neural network models trained via the gradient descent. Due to Hebbian learning, the network have easily interpretable weights, which might be essential in critical application such as security or healthcare. We demonstrate the efficacy of HebbCL in an unsupervised learning setting applied to MNIST and Omniglot datasets. We also adapt the algorithm to the supervised scenario and obtain promising results in the class-incremental learning.","PeriodicalId":74512,"journal":{"name":"Proceedings of the ... Annual Hawaii International Conference on System Sciences. Annual Hawaii International Conference on System Sciences","volume":"88 1","pages":"1259-1268"},"PeriodicalIF":0.0,"publicationDate":"2022-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80288605","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

Resilient Operational Planning for Microgrids Against Extreme Events 微电网应对极端事件的弹性运行规划

Proceedings of the ... Annual Hawaii International Conference on System Sciences. Annual Hawaii International Conference on System Sciences Pub Date : 2022-06-16 DOI: 10.48550/arXiv.2206.07887

Cunzhi Zhao, J. Silva-Rodríguez, Xingpeng Li

{"title":"Resilient Operational Planning for Microgrids Against Extreme Events","authors":"Cunzhi Zhao, J. Silva-Rodríguez, Xingpeng Li","doi":"10.48550/arXiv.2206.07887","DOIUrl":"https://doi.org/10.48550/arXiv.2206.07887","url":null,"abstract":"This paper proposes a novel resilience index, a microgrid survivability rate (SR) under extreme events, and then proposes a novel Resilient Operational Planning (ROP) algorithm to maximize the proposed resilience index SR. The proposed ROP algorithm can incorporate predetermined inverter failure probabilities and generate multiple scenarios accordingly to optimize resilient operations during an extreme event. The implemented ROP algorithm consists of two main steps: (i) optimization of resilient operational planning, and (ii) preventive resilience enhancement if minimum SR is not met per the analysis in step 1. A typical microgrid (MG) is studied to compare the proposed ROP algorithm against a traditional microgrid energy management (MEM) model. Results indicate that an enhanced resilience operation is achieved by the ROP algorithm, which is demonstrated by the quantification of resilience via the SR. Moreover, the proposed ROP algorithm is able to obtain a greater SR overall compared to that achieved by the traditional MEM, and this benefit of using the proposed ROP increases as the inverter failure probabilities increase.","PeriodicalId":74512,"journal":{"name":"Proceedings of the ... Annual Hawaii International Conference on System Sciences. Annual Hawaii International Conference on System Sciences","volume":"54 1","pages":"2545-2551"},"PeriodicalIF":0.0,"publicationDate":"2022-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76873514","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: 3

Anonymous Expression in an Online Community for Women in China 中国女性网络社区的匿名表达

Proceedings of the ... Annual Hawaii International Conference on System Sciences. Annual Hawaii International Conference on System Sciences Pub Date : 2022-06-16 DOI: 10.48550/arXiv.2206.07923

Zhixuan Zhou, Zixin Wang, Franziska Zimmer

引用次数: 5

AI Ethics Issues in Real World: Evidence from AI Incident Database 现实世界中的人工智能伦理问题:来自人工智能事件数据库的证据

Proceedings of the ... Annual Hawaii International Conference on System Sciences. Annual Hawaii International Conference on System Sciences Pub Date : 2022-06-15 DOI: 10.48550/arXiv.2206.07635

Mengyi Wei, Zhixuan Zhou

{"title":"AI Ethics Issues in Real World: Evidence from AI Incident Database","authors":"Mengyi Wei, Zhixuan Zhou","doi":"10.48550/arXiv.2206.07635","DOIUrl":"https://doi.org/10.48550/arXiv.2206.07635","url":null,"abstract":"With the powerful performance of Artificial Intelligence (AI) also comes prevalent ethical issues. Though governments and corporations have curated multiple AI ethics guidelines to curb unethical behavior of AI, the effect has been limited, probably due to the vagueness of the guidelines. In this paper, we take a closer look at how AI ethics issues take place in real world, in order to have a more in-depth and nuanced understanding of different ethical issues as well as their social impact. With a content analysis of AI Incident Database, which is an effort to prevent repeated real world AI failures by cataloging incidents, we identified 13 application areas which often see unethical use of AI, with intelligent service robots, language/vision models and autonomous driving taking the lead. Ethical issues appear in 8 different forms, from inappropriate use and racial discrimination, to physical safety and unfair algorithm. With this taxonomy of AI ethics issues, we aim to provide AI practitioners with a practical guideline when trying to deploy AI applications ethically.","PeriodicalId":74512,"journal":{"name":"Proceedings of the ... Annual Hawaii International Conference on System Sciences. Annual Hawaii International Conference on System Sciences","volume":"31 1","pages":"4923-4932"},"PeriodicalIF":0.0,"publicationDate":"2022-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89908733","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: 11

TSM: Measuring the Enticement of Honeyfiles with Natural Language Processing TSM:用自然语言处理技术测量蜜文件的诱惑力

Proceedings of the ... Annual Hawaii International Conference on System Sciences. Annual Hawaii International Conference on System Sciences Pub Date : 2022-03-15 DOI: 10.24251/hicss.2022.280

Roelien C. Timmer, D. Liebowitz, S. Nepal, S. Kanhere

引用次数: 3

A Novel Deep Learning Model for Hotel Demand and Revenue Prediction amid COVID-19 2019冠状病毒病期间酒店需求和收入预测的新型深度学习模型

Proceedings of the ... Annual Hawaii International Conference on System Sciences. Annual Hawaii International Conference on System Sciences Pub Date : 2022-03-08 DOI: 10.24251/HICSS.2022.217

Ashkan Farhangi, Arthur Huang, Zhishan Guo

{"title":"A Novel Deep Learning Model for Hotel Demand and Revenue Prediction amid COVID-19","authors":"Ashkan Farhangi, Arthur Huang, Zhishan Guo","doi":"10.24251/HICSS.2022.217","DOIUrl":"https://doi.org/10.24251/HICSS.2022.217","url":null,"abstract":"The COVID-19 pandemic has cast a substantial impact on the tourism and hospitality sector. Public policies such as travel restrictions and stay-at-home orders had significantly affected tourist activities and service businesses' operations and profitability. It is essential to develop interpretable forecasting models to support managerial and organizational decision-making. We developed DemandNet, a novel deep learning framework for predicting time series data under the influence of the COVID-19 pandemic. The DemandNet framework has the following unique characteristics. First, it selects the top static and dynamic features embedded in the time series data. Second, it includes a nonlinear model which can provide interpretable insight into the previously seen data. Third, a novel prediction model is developed to leverage the above characteristics to make robust long-term forecasts. We evaluated DemandNet using daily hotel demand and revenue data from eight cities in the US between 2013 and 2020. Our findings reveal that DemandNet outperforms the state-of-art models and can accurately predict the effect of the COVID-19 pandemic on hotel demand and revenue. © 2022 IEEE Computer Society. All rights reserved.","PeriodicalId":74512,"journal":{"name":"Proceedings of the ... Annual Hawaii International Conference on System Sciences. Annual Hawaii International Conference on System Sciences","volume":"1 1","pages":"1-10"},"PeriodicalIF":0.0,"publicationDate":"2022-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78898092","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

The Effects of Firm Relational Capital on Export Performance: The Moderating Effects of Technological Turbulence 企业关系资本对出口绩效的影响:技术动荡的调节作用

Proceedings of the ... Annual Hawaii International Conference on System Sciences. Annual Hawaii International Conference on System Sciences Pub Date : 2022-01-21 DOI: 10.32920/18863885.v1

Misbah Uddin Chowdhury, Sui Sui, Horatio Morgan, Dandan Li

{"title":"The Effects of Firm Relational Capital on Export Performance: The Moderating Effects of Technological Turbulence","authors":"Misbah Uddin Chowdhury, Sui Sui, Horatio Morgan, Dandan Li","doi":"10.32920/18863885.v1","DOIUrl":"https://doi.org/10.32920/18863885.v1","url":null,"abstract":"Global value chains (GVCs) offer a range of opportunities to manufacturers interested in increasing their export market share by utilizing their business relationships with other firms. In recent studies, it is recognized that relational capital helps manufacturing firms to enhance their competitiveness in global markets. However, prior research does not provide a conclusive account of the impact of relational capital on their export performance in general, and particularly in the context of developing countries. Drawing on a learning-based perspective and contingency approach, this study fills these gaps by theorizing the link between relational capital and firm performance with a focus on developing-country firms that participate in GVCs. Specifically, we propose that the relational capital of these firms will have a stronger positive impact on their export performance when the market and technological turbulence are lower. The results confirm the key hypotheses by showing that developing-country firms' relational capital with buyers has a positive and significant impact on their export performance and that technological turbulence negatively moderates the relationship between relational capital with buyers and export performance. Overall, this research extends the literature on knowledge transfer, interfirm relational capital, and business performance in a developing country context.","PeriodicalId":74512,"journal":{"name":"Proceedings of the ... Annual Hawaii International Conference on System Sciences. Annual Hawaii International Conference on System Sciences","volume":"25 1","pages":"4791-4798"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78252089","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

Proceedings of the 55th Hawaii International Conference on System Sciences 第55届夏威夷国际系统科学会议论文集

Proceedings of the ... Annual Hawaii International Conference on System Sciences. Annual Hawaii International Conference on System Sciences Pub Date : 2022-01-04 DOI: 10.24251/hicss.2022.000

引用次数: 6