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61st Annual Conference and Expo of the Institute of Industrial Engineers

作者： Hu, Mengqi Industrial Engineering Program School of Computing Informatics and Decision Systems Engineering Arizona State University Tempe AZ 85281 United States

ISBN: (纸本)9780983762409

The importance of efficient utilization of expensive imaging equipment has been brought to full public attention by the current health care debates. In particular, the use of imaging equipments such as Computed Tomography (CT), Mammography (MG) and Magnetic Resonance Imaging (MRI) is known to contribute to the rising cost with health care. Though medical practices and research attempt to address this issue through measuring and improving imaging equipment productivity, the analysis has mainly focused on enterprise (hospital, clinical) level instead of operational (examination) level. This is due to the lack of technical data available from medical imaging. We have recently developed and implemented an enterprise wide imaging dose tracking system for Mayo Clinic which enables a comprehensive study on imaging equipment utilization. In this research, we first propose three standardized productivity metrics to study the imaging equipment productivity. Design of experiment is then conducted to identify significant factors affecting equipment productivity and utilization. The insights can be gained for medical administrators to better allocate resource and schedule resource utilization that in turn may reduce health care expenses.

关键词： Health care

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Growth of a young engineering management program

Growth of a young engineering management program

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113th Annual ASEE Conference and Exposition, 2006

作者： Sireli, Yesim Teng, S. Gary Ozelkan, Ertunga University of North Carolina Charlotte United States Engineering Management Program University of North Carolina Charlotte United States Engineering Management Program Center for Lean Logistics and Engineered Systems University of North Carolina Charlotte United States Engineering Management Program Center for Lean Logistics and Engineered Systems University of North Carolina Charlotte United States

The engineering Management program of the University of North Carolina at Charlotte (UNCC) is a master's level program founded in Fall 2000, offering courses together with the College of Business Administration and focusing on establishing close ties with the industry. Over the past few years, it increased the number of its faculty as well as the variety of courses in its curriculum. Recently, UNCC decided to transform this program into a new systems engineering and engineering Management Department. This transition requires the development of a roadmap for the engineering Management program to follow towards becoming a department. Consequently, the goal of this study is to identify the objectives of the new department and determine the activities that should take place to realize those objectives. This study uses a Quality Function Deployment (QFD) analysis to achieve its goal. © American Society for engineering Education, 2006.

关键词： engineering education

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Action Robust Reinforcement Learning with Highly Expressive Policy

Action Robust Reinforcement Learning with Highly Expressive ...

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2024 IEEE International Conference on systems, Man, and Cybernetics, SMC 2024

作者： Kim, SeongIn Shibuya, Takeshi University of Tsukuba Doctor's Program in Intelligent and Mechanical Interaction Systems Ibaraki Japan University of Tsukuba Faculty of Engineering Information and Systems Ibaraki Japan

ISBN: (纸本)9781665410205

In traditional reinforcement learning, there can be a degradation in the control performance of the policy when the environmental parameters differ between the training and application phase. The policy that minimizes this degradation is referred to as a robust policy. A framework called Noisy action Robust Markov Decision Process (NR-MDP) was proposed for training robust policies, and the Action Robust Deep Determin-istic Policy Gradient (AR-DDPG) algorithm was introduced as a method for solving NR-MDP. The optimal policy in NR-MDP includes policies following various probability distributions, whereas AR-DDPG is restricted to deterministic policies. We propose a new robust reinforcement learning method called Action Robust Q-Learning (AR-QL) that enables the training of optimal policies in NR-MDP by leveraging various sampling techniques to extend the representational capacity of policies, targeting an improvement in policy robustness. To validate this, we confirmed that AR-QL can acquire the optimal policy for a simple NR-MDP problem, for which AR-DDPG fails to obtain the optimal policy. Furthermore, we confirmed that the robust performance of policy trained by AR-QL in the OpenAI's InvertedPendulum environment surpasses that of policy trained by AR-DDPG. © 2024 IEEE.

关键词： Deep reinforcement learning

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CyberForensics 1

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丛书名： Springer’s Forensic Laboratory Science Series

1000年

作者： Jennifer Bayuk

ISBN: (数字)9781607617723

ISBN: (纸本)9781607617716;9781617797033

Cyberforensics is a fairly new word in the technology our industry, but one that n- ertheless has immediately recognizable meaning. Although the word forensics may have its origins in formal debates using evidence, it is now most closely associated with investigation into evidence of crime. As the word cyber has become synonymous with the use of electronic technology, the word cyberforensics bears no mystery. It immediately conveys a serious and concentrated endeavor to identify the evidence of crimes or other attacks committed in cyberspace. Nevertheless, the full implications of the word are less well understood. Cyberforensic activities remain a mystery to most people, even those fully immersed in the design and operation of cyber te- nology. This book sheds light on those activities in a way that is comprehensible not only to technology professionals but also to the technology hobbyist and those simply curious about the ?eld. When I started contributing to the ?eld of cybersecurity, it was an obscure ?eld, rarely mentioned in the mainstream media. According to the FBI, by 2009 organized crime syndicates were making more money via cybercrime than in drug traf?- ing. In spite of the rise in cybercrime and the advance of sophisticated threat actors online, the cyber security profession continues to lag behind in its ability to inves- gate cybercrime and understand the root causes of cyber attacks. In the late 1990s I worked to respond to sophisticated attacks as part of the U. S.

关键词： Forensic Science Computer Science, general e-Commerce/e-business

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Innovative Solutions in Breath Alcohol Measurement for Improving Road Safety

Innovative Solutions in Breath Alcohol Measurement for Impro...

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Cybernetics and Innovations (ICCI), International Conference on

作者： Patiyuth Pramkeaw Pimyada Suksomboon Warit Leangruttananon Thittaporn Ganokratanaa Davids Makararpong Narumol Chumuang Worawut Yimyam Chayawee Angsusingha Adil Farooq Mahasak Ketcham Media Technology Program King Mongkut's University of Technology Thonburi Bangkok Thailand Faculty of Science King Mongkut's University of Technology Thonburi Bangkok Thailand Thailand Business school The University of the Thai Chamber of Commerce Bangkok Thailand Digital Media Technology Muban Chombueng Rajabhat University Ratchaburi Thailand Business Information Management Phetchaburi Rajabhat University Phetchaburi Thailand The national broadcasting and Telecommunications Commission Bangkok Thailand Department of Electronic Engineering Maynooth University Ireland Management of Information Systems King Mongkut's University of Technology North Bangkok Bangkok Thailand

ISBN: (数字)9798331533267

ISBN: (纸本)9798331533274

This research presents the development and evaluation of a breath alcohol measurement device utilizing the MQ-3 alcohol sensor and an Arduino Nano-based control system. The primary objective was to design an accurate and reliable system for detecting breath alcohol concentration, with real-time feedback provided through an OLED display and an active buzzer for alerts. The device operates by measuring the alcohol concentration in the breath and converting the sensor data into parts per million (ppm). When the alcohol concentration exceeds the predefined threshold of 5% ABV, the system activates an audible alarm via the buzzer and displays the corresponding ppm value on the OLED screen. A series of tests were conducted with eight volunteers who consumed varying amounts of alcohol. The results demonstrated the system's high accuracy and responsiveness, with the ability to detect alcohol concentrations ranging from safe levels to dangerous thresholds. The device was tested multiple times to ensure consistency and minimize errors, with the final results confirming its effectiveness in providing reliable alcohol measurements. This system holds significant potential for applications in monitoring alcohol levels in drivers and individuals involved in safety-critical activities. The research underscores the importance of real-time alcohol detection systems in enhancing public safety and ensuring compliance with safety regulations.

关键词： Accuracy Measurement uncertainty Organic light emitting diodes Control systems Real-time systems Public security Nanoscale devices Monitoring Vehicles Testing

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Underwater visible light communication using phase-shift keying and rolling-shutter effect 9

Underwater visible light communication using phase-shift key...

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9th IEEE Global Conference on Consumer Electronics, GCCE 2020

作者： Hamagami, Ritsuki Ebihara, Tadashi Wakatsuki, Naoto Mizutani, Koichi University of Tsukuba Master's Program in Intelligent and Mechanical Interaction Systems Tsukuba Japan University of Tsukuba Faculty of Engineering Information and Systems Tsukuba Japan

ISBN: (纸本)9781728198026

We propose an underwater visible light communication (VLC) system for use in drones. The transmitter modulates a message using phase-shift keying (PSK) and emits the signal as LED fast-blinking light. The receiver captures this pattern with a CMOS image sensor using a rolling-shutter effect, and demodulates PSK. In existing VLC systems, rolling-shutter effect is used to transmit baseband signals;this system transmits a passband signal tolerant of low-frequency optical interference noise. System performance was evaluated in test-tank experiments. Findings suggested that the VLC system with PSK outperformed that using on-off keying when noise frequency did not exceed carrier frequency. © 2020 IEEE.

关键词： Phase shift keying

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Rolling-Shutter Sensor-Based Visible Light Communication with Cross-Screen Filter: Communication and Positioning System Using a Commercial Camera 10

Rolling-Shutter Sensor-Based Visible Light Communication wit...

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10th IEEE Global Conference on Consumer Electronics, GCCE 2021

作者： Hamagami, Ritsuki Ebihara, Tadashi Wakatsuki, Naoto Maeda, Yuka Mizutani, Koichi University of Tsukuba Master's Program In Intelligent And Mechanical Interaction Systems Tsukuba Japan Faculty of Engineering Information And Systems University of Tsukuba Tsukuba Japan

ISBN: (纸本)9781665436762

We propose a visible light communication system using a commercial camera that achieves communication and positioning simultaneously, which is essential for intelligent transport systems (ITS). The transmitter (Tx) emits the data as fast-blinking light of the LED. The receiver (Rx) captures the signal using a rolling-shutter sensor with a cross-screen filter. Different from the previous system without a cross-screen filter, which can only achieve short-range and single-user communication, the proposed system can achieve long-range communication by diffusing the incoming light in a specific direction using a cross-screen filter. Furthermore, the proposed system has the potential to achieve multi-user communication and positioning, which used to require a high-speed camera, using a commercial camera. We evaluated the performance of the proposed system in indoor experiments. The experimental results suggest that the proposed system can improve communication range compared to the previous system. © 2021 IEEE.

关键词： Visible light communication

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Deep Semantic and Attentive Network for Unsupervised Video Summarization

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ACM Transactions on Multimedia Computing, Communications and Applications 2022年第2期18卷 1-21页

作者： Zhong, Sheng-Hua Lin, Jingxu Lu, Jianglin Fares, Ahmed Ren, Tongwei College of Computer Science and Software Engineering Shenzhen University Shenzhen518060 China Department of Electrical Engineering Computer Systems Engineering Program Faculty of Engineering at Shoubra Benha University Cairo Egypt State Key Laboratory for Novel Software Technology Nanjing University Nanjing210023 China

With the rapid growth of video data, video summarization is a promising approach to shorten a lengthy video into a compact version. Although supervised summarization approaches have achieved state-of-the-art performance, they require frame-level annotated labels. Such an annotation process is time-consuming and tedious. In this article, we propose a novel deep summarization framework named Deep Semantic and Attentive Network for Video Summarization (DSAVS) that can select the most semantically representative summary by minimizing the distance between video representation and text representation without any frame-level labels. Another challenge associated with video summarization tasks mainly originates from the difficulty of considering temporal information over a long time. Long Short-Term Memory (LSTM) performs well for temporal dependencies modeling but does not work well with long video clips. Therefore, we introduce a self-attention mechanism into our summarization framework to capture the long-range temporal dependencies among the frames. Extensive experiments on two popular benchmark datasets, i.e., SumMe and TVSum, show that our proposed framework outperforms other state-of-the-art unsupervised approaches and even most supervised methods. © 2022 Association for Computing Machinery.

关键词： Semantics

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Business implications for reliability and robustness in the satellite market

Business implications for reliability and robustness in the ...

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21st International Communications Satellite systems Conference and Exhibit, ICSSC 2003

作者： Hoeber, Christopher F. Van, Ommering Gerrit Grybos, David P. Kosinski, Brian P. Wray, Larry Program Management and Systems Engineering United States Research and Development United States Space Systems/Loral Palo Alto California 94303 United States

ISBN: (纸本)9781624100932

As communications satellite services become increasingly integrated into the world economy, the reliability and robustness of the satellites that provide those services grow in importance. In a highly competitive market, reliability leads to new business. Perhaps because of increased visibility of a few high profile outages, the public perceives satellite transmission as risky. However, Space systems/Loral's analysis of the on-going performance of its satellite fleet indicates that reliability is holding or even improving despite the trends of increased satellite size and complexity. Larger, more capable satellites have proven to be no less reliable than their smaller predecessors. SS/L believes that, since each new satellite program is no longer a new development with the customer paying a large percentage of the contract value for nonrecurring engineering, it is important for the spacecraft manufacturer to institutionalize a set of reliability standards, rather than relying on contract terms to impose an outside set. Beginning about three years ago, SS/L undertook a coordinated set of reliability initiatives including comprehensive test programs designed to address the customer demand for increased robustness. The business implications of these initiatives and initial market reaction to their demonstrated effectiveness are apparent. After three years, initial on-orbit experience shows that these initiatives are working. © 2003 Space systems/Loral.

关键词： Commerce

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Reinforcement Learning to Efficiently Recover Control Performance of Robots Using Imitation Learning After Failure

Reinforcement Learning to Efficiently Recover Control Perfor...

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2022 IEEE International Conference on systems, Man, and Cybernetics, SMC 2022

作者： Kobayashi, Shoki Shibuya, Takeshi University of Tsukuba Master's Program in Intelligent and Mechanical Interaction Systems Ibaraki Japan University of Tsukuba Faculty of Engineering Information and Systems Ibaraki Japan

ISBN: (数字)9781665452588

ISBN: (纸本)9781665452588

Extreme environments, such as space and underwater, are difficult for humans to enter because they involve risks, hence it is necessary to employ autonomous robots instead of humans. When robots fail in extreme environments, it is essential for the robot to automatically recover control following the rules of failure because humans cannot repair the robot directly. Reinforcement learning is expected to automatically acquire the control rule;however, the retrieval of the control rule requires significant trial-and-error. Imitation learning cannot acquire the control rule if no suitable expert data exist. Methods combining imitation learning and reinforcement learning reduce the number of trial-and-errors;however, they are still not effective against robot failure because these methods cannot utilize expert data effectively. This paper proposes a reinforcement learning method that efficiently recovers control performance from failures by utilizing both the control rules prepared by the designer and multiple discriminators to calculate measures similar to expert data. Experimental results show that the proposed method recovers the control performance with fewer episodes than the conventional method. The main contribution of the proposed method is its efficiency against robot failure through utilizing expart data prepared for failure by the designers for imitation learning. © 2022 IEEE.

关键词： Reinforcement learning

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