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Frontiers in Optics + Laser Science 2023, FiO, LS 203: Part of Frontiers in Optics + Laser Science 2023

作者： Cramer, Tyler Holsenback, Vincent Free, Justin Miller, J. Keith Johnson, Eric G. Micro-Photonics Laboratory The Holcombe Department of Electrical and Computer Engineering Clemson University United States

This paper presents a scheme for the realization of a dynamic 2D array of Higher Order Bessel Beams Integrated in Time (HOBBIT). Results are presented for time varying changes in OAM and their corresponding propagatio... 详细信息

ISBN: (纸本)9781957171296

关键词： Doppler effect Gaussian beams Optical vortices Orbital angular momentum multiplexing Phase shift Structured light

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In Vitro Validation of Partial Shielding to Detect an Extremely Weak and Wideband Bio-Magnetic Signal

In Vitro Validation of Partial Shielding to Detect an Extrem...

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2023 International Applied Computational Electromagnetics Society Symposium, ACES-Monterey 2023

作者： Zhu, Keren Kiourti, Asimina The Ohio State University ElectroScience Laboratory Department of Electrical and Computer Engineering Columbus United States

ISBN: (纸本)9781733509633

We have recently reported an induction coil-based system that can detect naturally emanated magnetic fields from the human body in unshielded environments. Previously, we demonstrated in simulation that, with the addition of a partial iron box shielding, the noise at the recording site can be significantly reduced. In this work, we take a step further and validate in vitro that such partial shielding can indeed effectively increase the sensitivity of our system and reduce the extent of digital signal processing (DSP) required. Indeed, in vitro experimental results show that, with partial shielding, less averaging time (24 minutes vs. 30 minutes), and a smaller number of notch filters (7 vs. 10) can retrieve a wideband (100-1000Hz), low strength (8.76 pT) bio-magnetic signal with even higher clarity level. Results shown here can expand the clinical applicability of our bio-magnetic sensing system such that higher quality signals can be detected with less extensive DSP. © 2023 ACES.

关键词： Notch filters

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Performance Comparison of the Invasive Weed Optimization K-Means Algorithm With Particle Swarm Optimization K-Means for Banking Data 6

Performance Comparison of the Invasive Weed Optimization K-M...

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6th International Conference on Cybernetics and Intelligent System, ICORIS 2024

作者： Suwirmayanti, Ni Luh Gede Pivin Putra, I. Ketut Gede Darma Sudarma, Made Sukarsa, I. Made Setyaningsih, Emy Department of Computer Systems Faculty of Informatics and Computer Institut Teknologi dan Bisnis STIKOM Bali Bali Indonesia Department of Information Technology Faculty of Engineering Udayana University Jimbaran Hill Bali Indonesia Department of Electrical Engineering Faculty of Engineering Udayana University Jimbaran Hill Bali Indonesia Department of Computer Systems Engineering Faculty of Applied Science Universitas AKPRIND Indonesia Yogyakarta Indonesia

ISBN: (纸本)9798331539603

Banking produces extensive and diverse data, so a clustering process is needed to understand customer behavior patterns and transactions more effectively. This clustering has been widely utilized with the K-Means algorithm due to its simplicity and efficiency. However, this algorithm is limited in determining the optimal cluster center, affecting the accuracy of the clustering results. This study proposes applying two metaheuristic algorithms, Invasive Weed Optimization (IWO) and Particle Swarm Optimization (PSO), as additional solutions combined with K-Means. These two algorithms were chosen because of their ability to find global solutions and convergence speed to handle large and complex banking data. The results show the superiority of IWOKM compared to PSOKM in terms of SSE and DBI. From the SSE value, IWOKM produces a lower value (3029.77), which indicates that this method is better at minimizing clustering errors and producing more accurate clustering than PSOKM (80007.09). From the DBI value, IWOKM also produces a better value (1.6684) than PSOKM (1.6782), which shows that the clusters produced by IWOKM are more compact and more separated. However, in terms of computation time, PSOKM is more efficient, with a faster average computation time. Although IWOKM produces better clustering quality, PSOKM offers advantages in terms of processing speed. This finding confirms that the selection of the IWO algorithm is more appropriate for use on datasets with characteristics such as the German Credit Dataset. © 2024 IEEE.

关键词： Invasive weed optimization

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Noise Coil For Improving Sensitivity in a Fully Passive Bio-Magnetic Signal Detection System

Noise Coil For Improving Sensitivity in a Fully Passive Bio-...

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2023 International Applied Computational Electromagnetics Society Symposium, ACES-Monterey 2023

作者： Zhu, Keren Kiourti, Asimina The Ohio State University ElectroScience Laboratory Department of Electrical and Computer Engineering Columbus United States

ISBN: (纸本)9781733509633

Human emitted bio-magnetic signals are beneficial for several healthcare applications, yet they are difficult to capture due to their low magnitude. Overcoming limitations in the state-of-the-art, we previously reported a sensing system that can capture these signals in a non-contact, non-shielded, and low-cost manner. In this work, we take a major step further and demonstrate a noise coil subtraction scheme that successfully increases the sensitivity of the system. In vitro experimental results confirm that a reduced number of notch filters (10 vs. 13) are required to retrieve an 8.76 pT, 100-1000 Hz emulated evoked compound action potential (eCAP) signal with 30 minutes of averaging time when using the noise coil subtraction scheme. In the future, more advanced Digital Signal Processing (DSP) can be applied to adjust the level of noise for subtraction and further boost the sensitivity. © 2023 ACES.

关键词： Notch filters

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2D Skeleton-Based Keypoint Generation Method for Grasping Objects with Roughly Uniform Height Variation 11

2D Skeleton-Based Keypoint Generation Method for Grasping Ob...

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11th RSI International Conference on Robotics and Mechatronics, ICRoM 2023

作者： Sabzejou, Ali Masouleh, Mehdi Tale Kalhor, Ahmad University of Tehran Human and Robot Interaction Laboratory School of Electrical and Computer Engineering Department Iran

ISBN: (纸本)9798350308105

Robotic grasping poses a fundamental challenge in robotics, particularly when dealing with unknown objects. This skill has always been a focal point in robotics research due to its fundamental importance and inherent complexity. Recent advances utilize state-of-The-Art learning techniques, including deep learning and deep reinforcement learning, presenting their unique set of challenges. Training these models requires extensive data and computational resources, with the generalization to unknown objects presenting a significant obstacle for robots. This paper presents a comprehensive approach to unknown object robotic grasping, with a specific focus on top-down grasping actions. The process encompasses image preprocessing, the application of the Straight Skeleton (StSkel) method, and the systematic generation of grasp keypoints when applied to a selection of objects from the Dex-Net dataset. During the evaluation, the analysis incorporated crucial metrics, including the number of detected grasp keypoints for each object, the count of successfully generated grasp pairs, the overall success rate, and the success rate when considering the top 5 ranked grasp pairs. One of the notable strengths of this approach lies in its adaptability to a wide array of objects, ranging from simple shapes to complex ones. The proposed approach in this paper paves the way for automatically labeling grasping datasets, providing a valuable asset for developing auto-generating Deep-RL models. The StSkel method effectively captures essential structural information, making it suitable for real-world applications involving diverse objects. The experimental outcomes affirm the robustness and adaptability of the approach, as it most often achieved a high success rate in generating viable pairs of grasping points for most tested objects. Even complex objects yield impressive results, demonstrating the method's potential for real-world applications in grasping unknown objects. © 2023 IEEE.

关键词： Robotics

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Overview of Versatile Video Coding (H.266/VVC) and Its Coding Performance Analysis

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IEIE Transactions on Smart Processing and Computing 2023年第2期12卷 122-154页

作者： Lee, Minhun Song, HyeonJu Park, Jeeyoon Jeon, Byeungwoo Kang, Jungwon Kim, Jae-Gon Lee, Yung-Lyul Kang, Je-Won Sim, Donggyu Department of Computer Engineering Kwangwoon University Seoul Korea Republic of Department of Computer Engineering Sejong University Seoul Korea Republic of Department of Electrical and Computer Engineering Sungkyunkwan University Kyunggi-do Korea Republic of Communication and Media Research Laboratory Electronics and Telecommunications Research Institute Deajeon Korea Republic of School of Electronics and Information Engineering Korea Aerospace University Kyunggi-do Korea Republic of Department of Electronic and Electrical Engineering Graduate Program in Smart Factory Ewha Womans University Seoul Korea Republic of

Versatile Video Coding (H.266/VVC) is the newest video coding standard jointly developed by the Joint Video Experts Team (JVET), which is organized by the ITU-T Video Coding Experts Group (VCEG) and the ISO/IEC Moving Picture Experts Group (MPEG). H.266/VVC provides about 40% bitrate reduction compared with High Efficiency Video Coding (H.265/HEVC) for the same visual quality. This paper introduces in detail the core structure of H.266/VVC by highlighting its features within block partitioning structure, intra/inter prediction, transform, quantization, and in-loop filtering, compared to its predecessor (H.265/HEVC). H.266/VVC yields significantly improved the coding performance, but it increased the computational complexity, particularly for the encoder side, which remains a problem to be tackled for successful commercialization in the future. This paper examined the statistical performance of H.266/VVC coding tools from the bitstreams encoded by the VVC test model (VTM12.0) encoder through rate-distortion optimization under the JVET common test conditions. In addition, the complexity and performance analyses are conducted on the block partitioning structure and group of picture structure. It is expected that an optimized H.266/VVC encoder can be designed and developed by minimizing the coding loss based on the analysis data. © 2023 Institute of Electronics and Information Engineers. All rights reserved.

关键词： Image compression

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Partial Shielding to Improve Sensitivity of a Fully Passive Bio-Magnetic Signal Detection System

Partial Shielding to Improve Sensitivity of a Fully Passive ...

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2023 International Applied Computational Electromagnetics Society Symposium, ACES-Monterey 2023

作者： Zhu, Keren Kiourti, Asimina The Ohio State University ElectroScience Laboratory Department of Electrical and Computer Engineering Columbus United States

ISBN: (纸本)9781733509633

Human naturally emitted bio-magnetic signal can aid diagnosis of various health conditions. Improving upon our previously developed bio-magnetic sensing system, in this work, we investigate the effectiveness of an added partial shielding in terms of the ability to reduce noise at targeted recording site through CST simulation. Simulation results confirm that with partial shielding, the noise is significantly reduced at the recording site/plane while not attenuating the original bio-magnetic signal, regardless of the noise field level. In the future, in vitro experiment can be carried out to further validate the shielding performance. © 2023 ACES.

关键词： Signal detection

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A 2D Geometry Based Grasping Pose Generation Algorithm for a Two-Finger Robot Hand 31

A 2D Geometry Based Grasping Pose Generation Algorithm for a...

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31st International Conference on electrical engineering, ICEE 2023

作者： Akbari, Arash Akbari, Arman Masouleh, Mehdi Tale University of Tehran Department of Computer Science Tehran Iran School of Electrical and Computer Engineering Human and Robot Interaction Laboratory Tehran Iran

ISBN: (纸本)9798350312560

Robot grasping is of paramount importance in industrial and service robotics. In recent years, various data-driven algorithms have been proposed to solve the problem of grasp detection and a part of them are based on reinforcement learning (RL) approaches. In a variety of proposed algorithms, random key points are being employed which will make the learning process inefficient and time-consuming. In this paper, a geometry-based algorithm is presented which can find grasp poses based on the geometry of the unknown object and propose the ones which may lead to successful grasping. For the grasp contacts computation part, the presented algorithm produces a finite number of key points based on the 2D shape of the object from a specific point of view. Afterward, it will narrow down the candidate points and output a finite number of successful grasp poses based on three grasp quality metrics for various unknown objects. Three approaches are proposed in order to achieve center points which can describe different parts of a 2D shape. Then, the obtained points are used as the center of circles which are tangent to the 2D shape contour. Also, a new grasp quality metric is proposed. The time of the grasp and the amount of object disorientation after grasping are considered as a metric to evaluate the successfulness of the grasp. Simulation results demonstrate that the proposed algorithm for unknown object grasping can find a finite number of successful grasp poses for different seen or unseen objects without using any random point © 2023 IEEE.

关键词： Geometry

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Online Information-Based Product Evolution Course Mining and Prediction

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International Journal of Information Technology and Decision Making 2024年第2期23卷 599-627页

作者： Chen, Yuh-Jen Chen, Yuh-Min Department of Accounting and Information Systems College of Business Intelligence National Kaohsiung University of Science and Technology Kaohsiung City Taiwan Institute of Manufacturing Information and Systems College of Electrical Engineering and Computer Science National Cheng Kung University Tainan City Taiwan

In today’s fiercely competitive business environment, product design and development play critical roles in an enterprise’s success;therefore, consumer demand must be understood. Enterprises used to understand their consumers’ demands through time-consuming questionnaire surveys and statistical analyses. As the Internet and the popularity of virtual communities have grown, more consumers are leaving comments about their perceptions of the appeal of products on online social media platforms, thus enabling enterprises to more objectively understand consumers’ product preferences and demands. Therefore, determining how to effectively assist enterprises in analyzing valuable information beneficial to product design and development that can be gleaned from the large amount of social media data available is critical to promoting an enterprise’s competitive advantage in the product market. However, previous studies have primarily focused on understanding consumer viewpoints of products through review articles or electronic word-of-mouth (eWOM;it is a common channel for spreading product appraisals) from online social media. For these review articles and eWOM that can imply consumer demand for product features, there were no relevant studies focused on analyzing consumer demand by using both online review articles and eWOM for product feature evolution. Therefore, for new product features, this study developed a mechanism for product evolution course mining from product-related review articles (such as product functions or specifications) and eWOM on online social media to realize the prediction of future product features or specifications, and then assist enterprises in rapidly and accurately grasping product development trends to effectively discern key reference information for product design and development. The study was achieved by (1) designing a process for online information-based product evolution course mining and prediction, (ii) developing techniques related to

关键词： Forecasting

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Netlist Compaction IR Drop Simulation Flow for Mixed Signal Power Integrity Analysis

Netlist Compaction IR Drop Simulation Flow for Mixed Signal ...

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2024 Panhellenic Conference on Electronics and Telecommunications, PACET 2024

作者： Michailidis, A. Topalidis, E. Noulis, T. Pavlidis, V.F. Hatzopoulos, A. Aristotle University of Thessaloniki Electronics Laboratory Department of Physics 54124 Greece Aristotle University of Thessaloniki Electronics Laboratory Department of Electrical and Computer Engineering 54124 Greece

ISBN: (纸本)9798350318845

In this work, a novel netlist compaction methodology was proposed and exploited as to speed-up the power integrity simulations of mixed signal SoC. The proposed methodology surpasses the time-domain non-linear simulations by introducing small-signal linear approximation approaches, thus accelerating the IR drop simulation procedure. As a digital cell, two ring-oscillators, oscillating at different frequencies, were implemented as the basic digital logic cell, using a 22 nm FDSOI CMOS process and, for simulation purposes, an array of digital cells was synthesized. In the top-level simulation scheme, both PCB and package models were included along with the PDN parasitics, as to improve the accuracy of the simulation. The presented methodology provides a significant netlist compaction technique while enabling power integrity simulations in large-scale digital circuits. © 2024 IEEE.

关键词： Compaction

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