2022 IEEE 1st Global Emerging Technology Blockchain Forum: Blockchain & Beyond (iGETblockchain)最新文献_第5页

A Novel Deep Reinforcement Learning-based Automatic Stock Trading Method and a Case Study 一种新的基于深度强化学习的股票自动交易方法及案例研究

2022 IEEE 1st Global Emerging Technology Blockchain Forum: Blockchain & Beyond (iGETblockchain) Pub Date : 2022-11-07 DOI: 10.1109/iGETblockchain56591.2022.10087066

Youzhang He, Yuchen Yang, Yihe Li, Peng Sun

{"title":"A Novel Deep Reinforcement Learning-based Automatic Stock Trading Method and a Case Study","authors":"Youzhang He, Yuchen Yang, Yihe Li, Peng Sun","doi":"10.1109/iGETblockchain56591.2022.10087066","DOIUrl":"https://doi.org/10.1109/iGETblockchain56591.2022.10087066","url":null,"abstract":"As the most important capital market, how formulating a reasonable stock trading strategy to improve capital return and reduce trading risk has always been the focus of people’s attention. In recent years, with the development of data-driven AI technology, people have begun to try to apply it to stock market data analysis to minimize the trading risk caused by the uncertainty of price fluctuations in the stock market. Accordingly, in this paper, we solve the complex stock trading decision-making problem by exploiting the deep reinforcement learning techniques. Briefly, in this paper, we consider two trading models: 1) for trading a specific single blue chip stock, we design a new trading agent based on Double Deep Q-Network (DDQN) to maximize the return for such specific blue chip stock purchase and sale; 2) To further reduce the risk of stock trading, for the more common multi-stock trading scenarios, we utilize twin-delayed deep deterministic policy gradient (TD3) technique to design a multi-stock collaborative trading agent for achieving the goals of risk hedging and maximizing returns. We further evaluated the efficiency of the proposed trading agents in stock price prediction accuracy and returns based on the actual U.S. Stock Market data.","PeriodicalId":186049,"journal":{"name":"2022 IEEE 1st Global Emerging Technology Blockchain Forum: Blockchain & Beyond (iGETblockchain)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128800369","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

Generating trust using product genome mapping: A cure for ESG communication 利用产品基因组图谱生成信任:解决ESG沟通问题

2022 IEEE 1st Global Emerging Technology Blockchain Forum: Blockchain & Beyond (iGETblockchain) Pub Date : 2022-11-07 DOI: 10.1109/iGETblockchain56591.2022.10087063

R. Subramoniam, Aditya Parameswaran, R. Ramanan, Rakesh Sreekumar, S. Cherian

{"title":"Generating trust using product genome mapping: A cure for ESG communication","authors":"R. Subramoniam, Aditya Parameswaran, R. Ramanan, Rakesh Sreekumar, S. Cherian","doi":"10.1109/iGETblockchain56591.2022.10087063","DOIUrl":"https://doi.org/10.1109/iGETblockchain56591.2022.10087063","url":null,"abstract":"ESG or Environmental, Social and Governance has become a mainstream focus for many companies today driven by mandates such as SEC Climate Risk Disclosure and CBP Uyghur Forced Labor Prevention Act in the US or regulations such as the German Supply Chain Act in addition to the environmentally and socially conscious stakeholder activism. Investors and customers are demanding product visibility and provenance to make investment and/or buying decisions. The supply chain disruptions that has rattled the industry in the last couple of years has added fuel to the fire, with supply chain resilience as a key factor. Blockchain solutions with the ability to enable data sharing across multi-party systems, track and trace multi-tier chain-of-custody data flows and provide immutable, verifiable proofs is well-positioned at the intersection of supply chain resilience and the circular economy needs. This article will focus on how reporting with block chain solutions may provide the opportunity for companies to enhance stakeholder trust in their ESG data and its communication.","PeriodicalId":186049,"journal":{"name":"2022 IEEE 1st Global Emerging Technology Blockchain Forum: Blockchain & Beyond (iGETblockchain)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124155103","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

Performance Study for Improving Throughput in Hyperledger Fabric Blockchain Platform Hyperledger Fabric区块链平台提高吞吐量的性能研究

2022 IEEE 1st Global Emerging Technology Blockchain Forum: Blockchain & Beyond (iGETblockchain) Pub Date : 2022-11-07 DOI: 10.1109/iGETblockchain56591.2022.10087049

S. Nanduri, Harish Vemula

引用次数: 0

Proof-by-Location as a Socially Responsible Financial Infrastructure 地点证明作为一种对社会负责的金融基础设施

2022 IEEE 1st Global Emerging Technology Blockchain Forum: Blockchain & Beyond (iGETblockchain) Pub Date : 2022-11-07 DOI: 10.1109/iGETblockchain56591.2022.10087087

Donald J. Patterson, Bill Tomlinson

引用次数: 0

SSI meets Metaverse for Industry 4.0 and Beyond SSI满足工业4.0及以后的元宇宙

2022 IEEE 1st Global Emerging Technology Blockchain Forum: Blockchain & Beyond (iGETblockchain) Pub Date : 2022-11-07 DOI: 10.1109/iGETblockchain56591.2022.10087134

U. Cali, M. Ferdous, Enis Karaarslan, S. Gourisetti, M. Mylrea

{"title":"SSI meets Metaverse for Industry 4.0 and Beyond","authors":"U. Cali, M. Ferdous, Enis Karaarslan, S. Gourisetti, M. Mylrea","doi":"10.1109/iGETblockchain56591.2022.10087134","DOIUrl":"https://doi.org/10.1109/iGETblockchain56591.2022.10087134","url":null,"abstract":"As the global industrial complex gears toward fulfilling the tenets of Industry 4.0 and beyond, technologies such as distributed ledger technologies, digital twins, and artificial intelligence become pivotal enablers. In the last decade, metaverse as a concept and technology found its place among crucial enablers for technology and digital advancement across several engineering domains. Metaverse has the potential to combine the elements from distributed computing platforms, the digital evolution of physical systems, and advanced learning systems to unearth a fully digitized world of comparative properties of the real world. We should ensure the privacy, integrity, and confidentiality of personal data. These requirements will lead to proper identity management in the metaverse. Given the complex nature of the metaverse, traditional centralized systems may not offer a viable identity management solution. Therefore, this study explores a decentralized identity management system called the Self-sovereign Identity (SSI) as a logical alternative to traditional centralized identity management systems. The proposed holistic framework aims to ignite new ideas and discussions related to the combined deployment of DLT (Distributed Ledger Technology), SSI, and metaverse to inspire new implementation areas within the Industry 4.0 environment. The paper also discusses various opportunities, enablers, technical & privacy aspects, legislation requirements, and other barriers related to SSI implementation.","PeriodicalId":186049,"journal":{"name":"2022 IEEE 1st Global Emerging Technology Blockchain Forum: Blockchain & Beyond (iGETblockchain)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127365880","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

Hybrid AI-based Anomaly Detection Model using Phasor Measurement Unit Data 基于相量测量单元数据的混合人工智能异常检测模型

2022 IEEE 1st Global Emerging Technology Blockchain Forum: Blockchain & Beyond (iGETblockchain) Pub Date : 2022-09-21 DOI: 10.1109/iGETblockchain56591.2022.10087111

Yuval Abraham Regev, Henrik Vassdal, Ugur Halden, Ferhat Ozgur Catak, U. Cali

{"title":"Hybrid AI-based Anomaly Detection Model using Phasor Measurement Unit Data","authors":"Yuval Abraham Regev, Henrik Vassdal, Ugur Halden, Ferhat Ozgur Catak, U. Cali","doi":"10.1109/iGETblockchain56591.2022.10087111","DOIUrl":"https://doi.org/10.1109/iGETblockchain56591.2022.10087111","url":null,"abstract":"Over the last few decades, extensive use of information and communication technologies has been the main driver of the digitalization of power systems. Proper and secure monitoring of the critical grid infrastructure became an integral part of the modern power system. Using phasor measurement units (PMUs) to surveil the power system is one of the technologies that have a promising future. Increased frequency of measurements and smarter methods for data handling can improve the ability to reliably operate power grids. The increased cyber-physical interaction offers both benefits and drawbacks, where one of the drawbacks comes in the form of anomalies in the measurement data. The anomalies can be caused by both physical faults on the power grid, as well as disturbances, errors, and cyber attacks in the cyber layer. This paper aims to develop a hybrid AI-based model that is based on various methods such as Long Short Term Memory (LSTM), Convolutional Neural Network (CNN) and other relevant hybrid algorithms for anomaly detection in phasor measurement unit data. The dataset used within this research was acquired by the University of Texas, which consists of real data from grid measurements. In addition to the real data, false data that has been injected to produce anomalies has been analyzed. The impacts and mitigating methods to prevent such kind of anomalies are discussed.","PeriodicalId":186049,"journal":{"name":"2022 IEEE 1st Global Emerging Technology Blockchain Forum: Blockchain & Beyond (iGETblockchain)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125462295","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: 2

Challenges of Proof-of-Useful-Work (PoUW) 有效工作量证明(pow)的挑战

2022 IEEE 1st Global Emerging Technology Blockchain Forum: Blockchain & Beyond (iGETblockchain) Pub Date : 2022-09-08 DOI: 10.1109/iGETblockchain56591.2022.10087185

F. Hoffmann

引用次数: 2