1.阿布德ABDULMUTTALIB MOHAMMED A ALKHAIBARI
博士学位论文答辩公告
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Research Contents
This study is an exploratory and empirical assessment of the impact of Total Quality Management (TQM) practice on the operational performance of Saudi Arabian petrochemical firms. The research content of this study is divided into six chapters, with each chapter containing specific content as outlined below:
Chapter 1: Introduction
Chapter 1 provides a comprehensive overview of the role of Total Quality Management (TQM) in the Saudi Arabian petrochemical industry and its impact on operational performance. The chapter begins by contextualizing the economic and industrial landscape of Saudi Arabia, highlighting the significance of the petrochemical sector and the ongoing efforts to diversify its economy as part of Vision 2030. The chapter elaborates on the theoretical and practical significance of the research, detailing how the study contributes to the theoretical framework of TQM and its practical application in the industry. The research objectives are laid out, aiming to critically examine the influence of TQM on operational performance, with specific focus on leadership, strategic planning, resource management, customer orientation, and process management. The chapter also details the research methods and framework, including both qualitative and quantitative analyses, and discusses ethical considerations, limitations, and the scope of the study. It concludes by exploring the interconnection between TQM and innovation in the petrochemical industry, setting the stage for a nuanced and insightful study.
Chapter 2: Theoretical Basis and Literature Review
Chapter 2 emphasizes the need for an integrated approach to the elements of TQM, as reflected in local and international research. It begins with a theoretical basis, discussing Organizational Change Theory, Resource-based Theory, and Target Management Theory, along with the quality elements of the ISO9000 International Quality Management System. The chapter then delves into the historical overview and definitions of TQM, its dimensions, key elements, and practices, including Six Sigma Management. It also covers corporate performance measures, using the Balanced Scorecard Approach, and discusses financial and non-financial key performance indicators. The role of cultural factors in the adoption and effectiveness of TQM practices is examined, and a comprehensive review of literature related to TQM and operational performance is provided. The chapter concludes with a summary, highlighting the critical elements and their interaction in achieving exceptional results.
Chapter 3: Quality Management in Saudi Petrochemical Industries
Chapter 3 examines quality management in the petrochemical industry in Saudi Arabia, focusing on TQM. It begins with a historical overview of the global and regional development of the petrochemical industry, highlighting Saudi Arabia's significant role. The chapter uses Porter's Five Forces Model to discuss the role of TQM in petrochemical organizations and the specific constraints faced in implementing these practices. It covers the implementation of TQM in petrochemical companies, discussing aspects such as standardization, customer focus, employee education and training, and the economic benefits of pioneering TQM initiatives. The chapter concludes with an analysis of quality management problems and their causes, strategies for overcoming TQM obstacles, and a summary of key points.
Chapter 4: Model Construction and Questionnaire Design
Chapter 4 delves into the intricacies of TQM and its role in shaping corporate performance indicators. It begins by elucidating the concept of TQM and systematically evaluates various TQM elements, emphasizing customer needs and market trends. The chapter constructs a conceptual model categorizing TQM into leadership, resources, and processes, and enterprise performance, forming the basis for several hypotheses. It provides an in-depth account of the questionnaire design process, detailing the rigorous methodologies employed in extracting quality management factors and ensuring survey reliability and validity. The selection process for sample enterprises and respondents is discussed, along with measures to mitigate biases. The chapter concludes with an overview of the questionnaire distribution and the high rate of effective responses, setting a solid groundwork for further empirical research.
Chapter 5: Empirical Research and Analysis
Chapter 5 begins with an in-depth empirical research phase, where gathered survey data undergoes statistical analysis using SPSS17.0. It involves conducting an independent sample T-test, descriptive statistical analysis, and reliability and load inspection of the sample data. The chapter methodically proceeds with a sample inspection, including an analysis of questionnaire content and results. It then delves into the model verification process, employing regression equation models to test various hypotheses. The chapter concludes with a comprehensive empirical analysis and discussion, highlighting the significant direct and indirect effects of TQM elements on corporate performance, the crucial role of leadership support, and the importance of balancing hard and soft performance indicators.
Chapter 6: Conclusion
Chapter 6 provides a comprehensive analysis and outcomes of TQM implementation. It discusses the innovative points and contributions of the research, the implications for the petrochemical industry, and the limitations of the study. The chapter concludes with an outlook on future research directions, emphasizing the ongoing need for innovation and continuous improvement in TQM practices within the Saudi Arabian petrochemical sector.
Key Innovation Points
Key innovative points stem from the results of the research and emphasize the transformation of Total Quality Management (TQM) principles within the Saudi Arabian petrochemical industry. The findings highlight how TQM can drive both operational excellence and innovation.
TQM traditionally ensures consistency and adherence to quality standards, but in the Saudi petrochemical sector, it also acts as a catalyst for innovation. Continuous improvement and systematic processes inherent in TQM stimulate innovative thinking and creative problem-solving. Case studies from industry leaders demonstrate how TQM facilitates the development of innovative products, processes, and solutions, thereby driving operational efficiency and competitive advantage.
Saudi petrochemical companies successfully merge standardization with creativity under TQM. Innovative strategies enable these companies to maintain rigorous quality controls while promoting a culture of innovation and flexibility. TQM helps balance these often-contradictory goals, ensuring that creative initiatives align with organizational objectives and quality imperatives. This fosters a culture where innovation thrives within the framework of controlled processes.
Leadership commitment is pivotal in embedding TQM and innovation within corporate culture. Leaders use TQM to enhance an organizational culture that prizes continuous improvement and supports innovation. Leadership dedication to quality and creative advancement leads to sustainable growth, with effective management harmonizing adherence to quality standards with the encouragement of innovation. Leadership strategies, including fostering an open environment for idea generation and integrating innovative practices into standard operating procedures, are crucial in driving both quality and creativity in the sector.
These innovative aspects offer vital insights for practitioners to develop effective strategies. The findings provide actionable guidance for Saudi petrochemical firms aiming to enhance their operational performance and innovative capacity. These insights align with Saudi Vision 2030, aiding the government and industry stakeholders in their efforts to diversify the economy and foster a knowledge-based industrial ecosystem. The research lays the groundwork for future studies to further explore the intersection of TQM and innovation in high-stakes industries like petrochemicals.
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[1] Mohammed, A. A., & Yuan, S. Research on electric thermal aging resistance new energy material transformer oil based on steady quality engineering technology. Materials Express, Jul 2020, 1091-1096. (SCI Index Journal) [DOI :10.1166/mex.2020.1718]
[2] Alkhaibari Abdulmuttalib Mohammed A, Shanmi Yuan., Research Progress on the Influencing Factors of Total Quality Management on Enterprise Performance: A Systematic Review. Scientific Journal of Economics and Management Research Management Research, June17,2021, 41-54. (Neither SCI or SSCI Index Journal). [International Journal]
[3] Yuan, S. Alkhaibari Abdulmuttalib Mohammed A , Total Quality Management Practices-Saudi Arabian Petrochemical. Modern Management Forum, Dec25,2019, 78-92. (Neither SCI or SSCI Index Journal) [International Journal]
[4] A. A. Mohammed, J. W. Mechanical and Thermal Properties of Nano Calcium Carbonate Reinforced PP POE. IOSR Journal of Polymer and Textile Engineering, 2016, 1-10.(Neither SCI or SSCI Index [International Journal]
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智能监控设备作为物联网设备的重要组成部分,相关的安全与隐私问题日益凸显。非法使用智能监控设备进行偷拍、监控和数据窃取的事件频发,给个人隐私和公共安全带来了严峻挑战。本文针对智能监控设备的用户安全与隐私进行了深入的研究和探索,通过获取监控设备活动信息、监控设备位置信息、施加主动防护手段以及监控设备载具识别,构建了基于内存侧通道信号的安全防护体系。取得了以下主要创新性研究成果:
(1)为解决现有探测方法普适性不足的问题,本文首先对各类型监控设备的运行原理进行了深入分析。本文提出了一种基于内存侧通道信号的监控设备探测方案。突破了传统技术的局限性,有效实现了对无线、有线连接以及基于存储的监控设备的探测。
(2)针对现有定位技术复杂度高的问题,本文对监控设备内存侧通道信号的距离相关性与变化敏感性进行了深入分析。本文分别提出了快速近似位置搜索模型和自适应更新方向估计两个方案,用于优化定位与定向过程。这些方法不仅有效降低了定位过程的复杂度,还在行为干预与用户友好程度之间实现了平衡,提高了系统的实用性和用户体验。
(3)针对监控设备干扰过程中潜在的安全风险问题,本文对监控设备内部传感器进行了详细的声学共振分析。本文提出了一种超声波定向阵列干扰方案。这种方法能够有效实现对未经授权录制行为的选择性干扰,同时最大程度地减少对周围环境和合法设备的影响。
(4)针对现有监控无人机探测技术易被干扰的问题,本文对各类搭载监控设备的无人机进行了探测。本文提出了一种增强 EMR 信号算法提升了监控设备载具无人机的探测距离。通过分析非法无人机的内存 EMR 信号的多普勒特征,构建了一种基于深度学习的无人机识别模型,实现了有效的无人机探测。
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[1]Zhang Q, Zeng F, Xiao Z, et al. Toward predicting stay time for private car users: a RNN-NALU approach[J]. IEEE Transactions on Vehicular Technology, 2022, 71(6): 6007-6018. (SCI 2区)
[2]Zhang Q, Liu D, Zhang X, et al. Eye of Sauron:Long-Range Hidden Spy Camera Detection and Positioning with Inbuilt Memory EM Radiation[C]//33rd USENIX Security Symposium. 2024: 109-126. (CCF A)
[3]Zhang Q, Zeng F, Hu J, et al. Enhancing Perception for Intelligent Vehicles via Electromagnetic Leakage[J]. IEEE Transactions on Intelligent Transportation Systems, 2023. (SCI 1区)
[4]Zhang Q, Zeng F, Hu J, et al. E-Argus: Drones Detection by Side-Channel Signatures via Electromagnetic Radiation[J]. IEEE Transactions on Intelligent Transportation Systems, 2024. (SCI 1区)
[5]Zhang Q, Wang P, Li Y, et al. CamShield: Tracing Electromagnetics to Steer Ultrasound Against Illegal Cameras[J]. IEEE Internet of Things Journal, 2024. (SCI 1区)
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随着信息技术的飞速发展和移动互联网的广泛普及,以智能手机、平板电脑等为代表的智能终端设备被广泛使用,使得大量个人隐私和敏感数据被存储于智能终端设备中。用户身份认证是保护这些隐私和敏感数据的重要手段,但现有的用户身份认证机制大都存在一定的局限。本文针对现有认证机制存在的局限,分别基于嘴唇、眼睛和手指触摸三类生物特征,提出并实现了对应的改进方案。取得的主要成果如下:
(1)针对现有的基于嘴唇的用户身份认证安全性不够高、认证动作不够简便的问题,提出了基于嘴唇形状和微笑过程的用户身份认证机制LipAuth。用户只需执行一个简单的微笑动作即可完成认证过程。LipAuth还通过引入屏摄视频检测算法,提高系统安全性。实验结果表明,LipAuth认证精度高、鲁棒性高且可有效抵御多种不同类型的攻击。
(2)针对现有的基于眼球运动的用户身份认证成本较高、认证过程较为繁琐耗时的问题,提出了基于眼睑模式和眼睛手势的用户身份认证机制DEyeAuth。用户只需执行系统随机选出的三个简单的眼睛手势即可完成认证过程,方便快捷。DEyeAuth使用设备自带的摄像头采集数据,无需眼动仪等额外硬件设备支持,成本低。实验结果表明,DEyeAuth认证精度高、认证过程便捷且抗攻击能力强。
(3)针对现有的基于屏幕触摸的用户身份认证系统不够轻量化、认证过程较为繁琐耗时的问题,提出了基于多指触摸的用户身份认证机制VGestureAuth。用户只需伸出食指和中指在屏幕上滑动一次即可完成认证过程。实验结果表明,VGestureAuth认证精度高、响应时间短且安全性高。
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[1]Ling Kuang, Fanzi Zeng, Daibo Liu, Hangcheng Cao, Hongbo Jiang, Jiangchuan Liu. LipAuth: Securing Smartphone User Authentication with Lip Motion Patterns. IEEE Internet of Things Journal, 2023, 11(1): 1096-1109. (SCI一区,已发表).
[2]Ling Kuang, Fanzi Zeng, Hongbo Jiang, Daibo Liu, Jie Li, Hui Zheng, Qibo Zhang, Geyong Min. DEyeAuth: A Secure Smartphone User Authentication System Integrating Eyelid Patterns with Eye Gestures. IEEE Internet of Things Journal, 2024. (SCI一区,已发表).
[3]Qibo Zhang, Fanzi Zeng, Jingyang Hu, Daibo Liu, Ling Kuang, Zhu Xiao, Hongbo Jiang. E-Argus: Drones Detection by Side-Channel Signatures via Electromagnetic Radiation[J]. IEEE Transactions on Intelligent Transportation Systems, 2024. (SCI一区, Early Access).
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Wi-Fi感知技术常依赖信道状态信息,但获取信道状态信息需要特殊软件,适用性有限;其次,实际应用中,网络流量常表现为间歇性和稀疏性,影响感知结果;最后,Wi-Fi系统存在隐私风险,窃听者可以通过捕获信道状态信息推测用户行为。为解决这些问题,本文研究了商用Wi-Fi设备上的安全感知技术:
(1)为解决Wi-Fi感知系统普适性不足的问题,本文提出了一种基于Wi-Fi波束成形信息的感知方案。新设计的基于波束成形信息的系统因在商用设备中的广泛支持及易获取性,提升了感知能力,验证了波束成形信息能实现感知。
(2)针对Wi-Fi 波束成形信息明文传输特性,本文提出了一种基于波束成形信息的智能手机按键窃听系统。通过对抗性学习提取与单个击键高度相关的特征。该模型通过跨域训练,能够在有限数据下,将按键推理推广到未知场景,展示了在实际隐私攻击中的潜在威胁。
(3)针对Wi-Fi流量间歇性和稀疏性特征,本文提出了一种稀疏恢复算法,用于恢复稀疏的波束成形信息时间序列。由于Wi-Fi的竞争性多重访问机制和网络拥塞,流量通常表现为低而不规则的帧到达率,导致BFI信息的丢失,显著影响Wi-Fi感知系统的性能。为此,本文设计了一种稀疏恢复算法,通过插值和重构稀疏的BFI时间序列,恢复感知过程中丢失的信息样本。
(4)针对Wi-Fi感知系统的安全隐患,本文提出了一种创新的隐私保护方案,旨在在不影响合法用户感知能力的前提下,有效抵御隐蔽感知攻击。同时,设计了一个高效安全的多目标优化框架,确保解密密钥安全传递给合法用户,并防止非法窃听者的侵入,从而提升感知信息传递安全性,保障用户隐私。
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[1]J. Hu, H. Wang, T. Zheng, J. Hu, Z. Chen, H. Jiang, and J. Luo. Password-Stealing without Hacking: Wi-Fi Enabled Practical Keystroke Eavesdropping. ACM CCS. 2023, pp. 239-252. (CCF A类会议,第一作者)
[2]J. Hu, H. Jiang, T. Zheng, J. Hu, H. Wang, H. Cao, Z. Chen, and J. Luo. M2-Fi: Multi-person Respiration Monitoring via Handheld WiFi Devices. IEEE INFOCOM. 2024, pp. 1221-1230.(CCF A类会议,第一作者)
[3]J. Hu, H. Jiang, Z. Xiao, S. Chen, S. Dustdar and J. Liu. HeadTrack: Real-time Human-Computer Interaction via Wireless Earphones. IEEE Journal on Selected Areas in Communications. 2024, vol. 42, no. 4, pp. 990-1002.(CCF A类期刊,第一作者)
[4]J. Hu, H. Jiang, S. Chen, Q. Zhang, Z. Xiao, D. Liu, B. Li and J. Liu. WiShield: Privacy against Wi-Fi Human Tracking. IEEE Journal on Selected Areas in Communications.2024, vol. 42, no. 10, pp. 2970-2984. (CCF A类期刊,第一作者)
[5]J. Hu, H. Jiang, D. Liu, Z. Xiao, Q. Zhang, G. Min, and J. Liu. Real-time Contactless Eye Blink Detection Using UWB Radar. IEEE Transactions on Mobile Computing. 2024, vol. 23, no. 6, pp. 6606-6619. (CCF A类期刊,第一作者)
[6]J. Hu, H. Jiang, D. Liu, Z. Xiao, Q. Zhang, J. Liu, and S. Dustdar. Combining IMU with Acoustics for Head Motion Tracking Leveraging Wireless Earphone. IEEE Transactions on Mobile Computing.2024, vol. 23, no. 6, pp. 6835-6847.(CCF A类期刊,第一作者)
[7]H. Jiang, J. Hu, D. Liu, J. Xiong, and M. Cai. DriverSonar: Fine-Grained Dangerous Driving Detection Using Active Sonar. ACM Ubicomp 2021, vol. 5, is. 3, pp 1-22. (CCF A类会议,第二作者,导师一作)
[8]H. Wang, J. Hu, T. Zheng, J. Hu, Z. Chen, H. Jiang, Y. Zheng and J. Luo. MuKI-Fi: Multi-person Keystroke Inference with BFI-enabled Wi-Fi Sensing. IEEE Transactions on Mobile Computing.2024, vol. 23, no. 10, pp. 9835-9850. (CCF A类期刊,第二作者)
[9]S. Chen, H. Jiang, J. Hu, Z. Xiao and D. Liu. Silent Thief: Password Eavesdropping Leveraging Wi-Fi Beamforming Feedback from POS Terminal. IEEE INFOCOM. 2024, pp. 321-330.(CCF A类会议,第三作者)
[10] P. Wang, R. Jiang, J. Hu, Y. Zhu, H. Jiang, M. Li and C. Liu. AMT+: Acoustic Multi-Target Tracking With Smartphone MIMO System.. IEEE Transactions on Mobile Computing. Early Access.(CCF A类期刊,第三作者)
[11] S. Chen, H. Jiang, J. Hu, T. Zheng, M. Wang, Z. Xiao, D. Liu and J. Luo. Echoes of Fingertip: Unveiling POS Terminal Passwords Through Wi-Fi Beamforming Feedback. IEEE Transactions on Mobile Computing. Early Access.(CCF A类期刊,第三作者)
[12] H. Jiang, S. Chen, Z. Xiao, J. Hu, J. Liu and S. Dustdar. Pa-Count: Passenger Counting in Vehicles Using Wi-Fi Signals. IEEE Transactions on Mobile Computing. Early Access.(CCF A类期刊,第四作者)
[13] Q. Zhang, F. Zeng, J. Hu, et al. Enhancing Perception for Intelligent Vehicles via Electromagnetic Leakage. IEEE Transactions on Intelligent Transportation Systems, Early Access. (SCI 1区, 第三作者)
[14] Q. Zhang, F. Zeng, J. Hu, et al. E-Argus: Drones Detection by Side-Channel Signatures via Electromagnetic Radiation. IEEE Transactions on Intelligent Transportation Systems, Early Access. (SCI 1区, 第三作者)
来源 | 湖南大学研究生院