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3. Rank Optimization for MIMO Channel with RIS: Simulation and Measurement

Author

Meng, Shengguo, Tang, Wankai, Chen, Weicong, Lan, Jifeng, Zhou, Qun Yan, Han, Yu, Li, Xiao, and Jin, Shi

Subjects
Computer Science - Information Theory, Electrical Engineering and Systems Science - Signal Processing
Abstract

Reconfigurable intelligent surface (RIS) is a promising technology that can reshape the electromagnetic environment in wireless networks, offering various possibilities for enhancing wireless channels. Motivated by this, we investigate the channel optimization for multiple-input multiple-output (MIMO) systems assisted by RIS. In this paper, an efficient RIS optimization method is proposed to enhance the effective rank of the MIMO channel for achievable rate improvement. Numerical results are presented to verify the effectiveness of RIS in improving MIMO channels. Additionally, we construct a 2$\times$2 RIS-assisted MIMO prototype to perform experimental measurements and validate the performance of our proposed algorithm. The results reveal a significant increase in effective rank and achievable rate for the RIS-assisted MIMO channel compared to the MIMO channel without RIS., Comment: This work has been accepted by IEEE WCL

Published
2023
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23. HVAC Scheduling under Data Uncertainties: A Distributionally Robust Approach

Author

Tian, Guanyu, Zhou, Qun, Faddel, Samy, and Wang, Wenyi

Subjects
Mathematics - Optimization and Control, Electrical Engineering and Systems Science - Systems and Control
Abstract

The heating, ventilation and air condition (HVAC) system consumes the most energy in commercial buildings, consisting over 60% of total energy usage in the U.S. Flexible HVAC system setpoint scheduling could potentially save building energy costs. This paper first studies deterministic optimization, robust optimization, and stochastic optimization to minimize the daily operation cost with constraints of indoor air temperature comfort and mechanic operating requirement. Considering the uncertainties from ambient temperature, a Wasserstein metric-based distributionally robust optimization (DRO) method is proposed to enhance the robustness of the optimal schedule against the uncertainty of probabilistic prediction errors. The schedule is optimized under the worst-case distribution within an ambiguity set defined by the Wasserstein metric. The proposed DRO method is initially formulated as a two-stage problem and then reformulated into a tractable mixed-integer linear programming (MILP) form. The paper evaluates the feasibility and optimality of the optimized schedules for a real commercial building. The numerical results indicate that the costs of the proposed DRO method are up to 6.6% lower compared with conventional techniques of optimization under uncertainties. They also provide granular risk-benefit options for decision making in demand response programs., Comment: 8 pages, 4 figures

Published
2021

24. Traffic Engineering Investment Estimation Method Based on Genetic Algorithm

Author

Wu, Tao, Zhou, Qun, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Tan, Kay Chen, Series Editor, Hung, Jason C., editor, Chang, Jia-Wei, editor, and Pei, Yan, editor

Published
2023
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25. New Application of Improved Dynamic Programming Algorithm in Traffic Engineering System

Author

Zhou, Qun, Wu, Tao, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Tan, Kay Chen, Series Editor, Hung, Jason C., editor, Chang, Jia-Wei, editor, and Pei, Yan, editor

Published
2023
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44. The Impact and Investigation of Starbucks’ Profit Generation Strategies

Author

Zhou Qun

Subjects
Social Sciences
Abstract

The noticeable proliferation of Starbucks outlets stands as a testament to the company’s burgeoning success in the market and its exceptional adaptability within the dynamic beverage industry landscape. In this paper, we embark on an in-depth exploration of various dimensions within Starbucks’ intricate marketing strategy, encompassing elements such as brand logo, brand loyalty, target consumer demographics, location selection criteria, pricing methodologies, product promotion tactics, and advertising strategies. As Starbucks continues its relentless global expansion, our comprehensive analysis endeavors to illuminate the multifaceted strategies that the company employs to sustain its preeminence in the fiercely competitive coffee market. The study delves into the ways Starbucks has effectively harnessed the power of its iconic brand logo, masterfully cultivated unwavering brand loyalty among its diverse consumer base, astutely catered to the unique preferences of specific target demographics, strategically handpicked prime locations for its outlets, meticulously positioned its pricing strategies, and innovatively deployed product promotion and advertising techniques. By conducting a thorough examination of these diverse facets that constitute the bedrock of Starbucks’ approach, our research seeks to offer invaluable insights into the complex interplay of factors that underlie the brand’s enduring prosperity and its enduring appeal on a global scale. As Starbucks’ influence continues to expand and evolve, our analysis aims to provide a comprehensive understanding of the dynamics that drive its continued success, making it a compelling case study for both academics and industry professionals alike.

Published
2024
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47. Application of Six Sigma methodology in the homogeneous nursing management for patients with acute pancreatitis (六西格玛管理法在急性胰腺炎患者同质化护理管理中的应用)

Author

LYU Jian (吕健), ZHOU Qun (周群), WEI Yanli (魏艳丽), and XIE Lan (谢岚)

Subjects
six sigma methodology, acute pancreatitis, emergency care, homogeneous management, 六西格玛管理法, 急性胰腺炎, 急救护理, 同质化管理, Nursing, RT1-120
Abstract

Objective To investigate the role of Six Sigma methodology in the homogeneous nursing management for patients with acute pancreatitis (AP). Methods Totally 21 AP patients who admitted to emergency room of the hospital between June 2018 and June 2020 were included as the control group. Since July 2020, the Six Sigma methodology was used in procedure improvement of the homogeneous nursing management for AP patients. Another 20 AP patients who admitted to emergency room of the hospital between July 2020 and June 2021 were included as the intervention group. Emergency nursing ability of emergency nurses was evaluated before and after implementation of Six Sigma methodology. Results Scores for assessment of emergency nursing ability and homogeneous management procedure increased significantly after implementation of Six Sigma methodology (P＜0. 01) . Conclusion Adopting the Six Sigma methodology in the homogeneous nursing management is potentially effective to enhance the emergency nursing ability of emergency nurses and improve the quality of emergency care for AP. (目的 探讨急诊抢救室应用六西格玛管理法在急性胰腺炎同质化护理管理流程中的作用。方法 选取2018年6月—2020年6月急诊抢救室收治的21例急性胰腺炎患者为对照组。2020年6月, 科室将六西格玛管理法用于急性胰腺炎同质化护理管理流程改进中, 选取2020年7月—2021年6月急诊抢救室收治的20例患者为干预组。评估和分析六西格玛管理法实施前和实施后急诊抢救室护士的急救护理能力。结果 实施六西格玛管理法后, 急诊抢救室护理人员急救护理能力评分和处置流程执行评分较实施前提高, 差异有统计学意义(P＜0. 01)。结论 运用六西格玛管理优化急性胰腺炎同质化护理管理流程, 有利于迅速提升不同能级护士的急救护理能力, 提升急救护理质量。)

Published
2022
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