Works (9)

Updated: April 5th, 2024 11:49

2023 article

Bonferroni-Free and Indifference-Zone-Flexible Sequential Elimination Procedures for Ranking and Selection

Wang, W., Wan, H., & Chen, Xi. (2023, April 11). OPERATIONS RESEARCH.

By: W. Wang, H. Wan n & . Chen*

author keywords: ranking and selection; indifference-zone-flexible; generalized likelihood ratio statistics
TL;DR: The approach is to conduct always valid and fully sequential hypothesis tests that enable continuous monitoring of each candidate system and control the probability of correct selection, and the indifference-zone parameter becomes dispensable in their procedures. (via Semantic Scholar)
Source: Web Of Science
Added: May 1, 2023

2022 article

BLOCKCHAIN: A REVIEW FROM THE PERSPECTIVE OF OPERATIONS RESEARCHERS

2022 WINTER SIMULATION CONFERENCE (WSC), pp. 283–297.

By: H. Wan n, K. Li n & Y. Huang n

TL;DR: In this tutorial, the blockchain technology is introduced and its frontier related research is reviewed to provide exciting opportunities for researchers in simulation, system analysis, and data science. (via Semantic Scholar)
Source: Web Of Science
Added: September 5, 2023

2021 journal article

A discrete-event simulation model for the Bitcoin blockchain network with strategic miners and mining pool managers

COMPUTERS & OPERATIONS RESEARCH, 134.

By: K. Li n, Y. Liu n, H. Wan n & Y. Huang n

author keywords: Blockchain; Discrete-event simulation; Bitcoin mining policy; Mining competition
TL;DR: This work investigates the miners’ and mining pool managers’ decisions in repeated Bitcoin mining competitions by building a Monte-Carlo discrete-event simulation model, which characterizes the system-level dynamics of the blockchain in terms of the mining difficulty level and total mining power. (via Semantic Scholar)
Source: Web Of Science
Added: July 26, 2021

2021 article

Machine learning in/for blockchain: Future and challenges

Chen, F., Wan, H., Cai, H., & Cheng, G. (2021, June 5). CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE.

author keywords: Bitcoin; blockchain; deep learning; machine learning; reinforcement learning
TL;DR: This article reviews existing research on combining machine learning and blockchain technologies and demonstrates that they can collaborate efficiently and effectively and point out some future directions. (via Semantic Scholar)
Source: Web Of Science
Added: June 14, 2021

2021 article

Social Influence Network Simulation Design Affects Behavior of Aggregated Entropy

Garee, M. J., Wan, H., & Ventresca, M. (2021, July 2). IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS.

By: M. Garee*, H. Wan n & M. Ventresca*

author keywords: Entropy; Social networking (online); Data models; System analysis and design; Analytical models; Sociology; Mutual information; Agent-based simulation; mutual information; relative entropy; social influence networks; transfer entropy
TL;DR: This work creates opinion data using agent-based simulation and experimental design and explores the relationships between aggregated entropy and five simulation design factors to support work in inferring properties about real-world social influence networks using opinion data collected from their members. (via Semantic Scholar)
UN Sustainable Development Goal Categories
10. Reduced Inequalities (OpenAlex)
Source: Web Of Science
Added: January 3, 2022

2020 article

BLOCKCHAIN: A REVIEW FROM THE PERSPECTIVE OF OPERATIONS RESEARCHERS

2020 WINTER SIMULATION CONFERENCE (WSC), pp. 75–89.

By: H. Wan n, K. Li n & Y. Huang n

TL;DR: In this tutorial, the blockchain technology is introduced and its frontier operations-and-data-related research is reviewed to provide exciting opportunities for researchers in simulation, system analysis, and data science. (via Semantic Scholar)
Source: Web Of Science
Added: August 30, 2021

2020 article

CAPTURING MINER AND MINING POOL DECISIONS IN A BITCOIN BLOCKCHAIN NETWORK: A TWO-LAYER SIMULATION MODEL

2020 WINTER SIMULATION CONFERENCE (WSC), pp. 3152–3163.

By: K. Li n, Y. Liu n, H. Wan n & L. Zhang n

TL;DR: A Monte-Carlo simulation model is built to study the miners’ and mining pool managers’ decisions in the Bitcoin blockchain network and characterize the system-level dynamics of the blockchain in terms of mining difficulty level and total hashing power. (via Semantic Scholar)
Source: Web Of Science
Added: August 30, 2021

2020 article

WORK SMARTER, NOT HARDER: A TUTORIAL ON DESIGNING AND CONDUCTING SIMULATION EXPERIMENTS

2020 WINTER SIMULATION CONFERENCE (WSC), pp. 1128–1142.

By: S. Sanchez*, P. Sanchez* & H. Wan n

TL;DR: This tutorial will prepare you to make your next simulation study a simulation experiment, and demonstrate the basic concepts important for designing and conducting simulation experiments. (via Semantic Scholar)
Source: Web Of Science
Added: August 30, 2021

2018 journal article

Strategic Prosumers: How to Set the Prices in a Tiered Market?

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 15(8), 4469–4480.

By: A. Ghosh*, V. Aggarwal* & H. Wan n

author keywords: Blockchain; distributed generators; Nash equilibrium; peer-to-peer energy trading; potential game
TL;DR: A tiered market where the grid selects a price function, which reveals price in the real time based on the total demand to the grid, is considered, which can reduce the peak load and increase the prosumers’ total payoffs. (via Semantic Scholar)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (Web of Science; OpenAlex)
Source: Web Of Science
Added: August 26, 2019

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