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TAPPICon 2023 - Rock the Roll: Unleashing the Harmonies of the Paper Industry

作者： Pandey, Kamlesh Zhang, Yunhao Pal, Lokendra Lee, Yuan Shin Singh, Anand Department of Forest Biomaterials Department of Industrial and System Engineering Department of Electrical and Computer Engineering

• Different statistical and machine learning approaches have been evaluated for modeling paper drying process. • A web-based interface also developed to store machine runs results into a local database for more complex model building • Performance of K-NN model is better in comparison to other model in terms of R2 and computation time. • An immersive learning tool using machine learning also developed for undergraduate student to approach paper making process through a data driven mindset. • In future this web application can act as a middleware between the CESMII server and shop floor, user can visualize the process and predict without physically running the machine. © 2023 TAPPICon 2023 - "Rock the Roll: Unleashing the Harmonies of the Paper Industry". All rights reserved.

关键词： Middleware

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MIMO-Based Chirp Spread Spectrum with Permutation Matrix Modulation

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IEEE Internet of Things Journal 2025年第12期12卷 20589-20606页

作者： Maleki, Alireza Bedeer, Ebrahim Barton, Robert University of Saskatchewan Department of Electrical and Computer Engineering SaskatoonS7N5A9 Canada Cisco Systems Inc United States

In this paper, we propose a multiple-input multiple-output (MIMO) configuration for chirp spread spectrum (CSS) modulation integrated with the permutation matrix modulation (PMM) scheme, namely, MIMO-CSS-PMM. The proposed MIMO-CSS-PMM simultaneously improves the spectral efficiency (SE) and error performance of the CSS-based transmission scheme. For the detection, we formulate the optimum maximum likelihood (ML) detector that turns out to be of high computational complexity. We propose two low complexity semi-coherent detection schemes, i.e., scheme I and scheme II, in which we average over the fast Fourier transform (FFT) output of the dechirped signal of each receiver antenna. Then, in scheme I, we reduce the ML search set by selecting the number of largest averaged signal values corresponding to the number of transmitter antennas. To further reduce the complexity of scheme I, in scheme II, we define and derive a probability of detection using concepts from order statistics and find a threshold value maximizing this probability of detection. We select the number of the largest averaged signal greater than or equal to the obtained threshold to eliminate the unnecessary cases from the search set of scheme I. With the help of computer simulations, we evaluate the proposed detectors in terms of bit error rates (BER). © 2014 IEEE.

关键词： Chirp modulation

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Distributed Optimal Contract for Data Rewarding with Network Effects

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IEEE Transactions on Control of Network systems 2024年第2期12卷 1332-1341页

作者： Baneshi, Alireza Montazeri, Mina Kebriaei, Hamed University of Tehran School of Electrical and Computer Engineering College of Engineering Tehran Iran Swiss Federal Laboratories for Materials Science and Technology Urban Energy Systems Laboratory Dübendorf Switzerland School of Computer Science Tehran Iran

Data rewarding is a novel business model that leads to an economic trend in mobile networks. In this scheme, the advertiser incentivizes mobile users (MUs) to watch advertisement (ads) and, in return, receive a reward in the form of mobile data. In this work, we model the interaction between an advertiser who has asymmetric information about MUs and MUs who are connected to each other under a network, using the contract theory approach. We obtain the necessary and sufficient conditions for an optimal and practical contract to motivate MUs to participate in the data rewarding scheme and encourage them to declare their private information truthfully. The formulation of this contract is a non-convex-constrained optimization problem. Using lemmas and propositions, we reformulate the initial optimization problem that is challenging to solve as an optimization problem with convex constraints and prove that these two problems are equivalent. Then, with the help of a distributed and non-convex algorithm, we obtain the amount of ads demand and incentive reward. © 2014 IEEE.

关键词： Contracts Optimization Social networking (online) Data models Network systems Control systems Indexes Distributed algorithms Couplings Complexity theory

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Implantable UWB Microstrip Patch Antenna for Biomedical Applications 5

Implantable UWB Microstrip Patch Antenna for Biomedical Appl...

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5th International Conference on Sustainable Communication Networks and Application, ICSCNA 2024

作者： Ishraq, Sadman Imran, Md Al Alam, Khorshed Khan, Mohammad Monirujjaman North South University Department of Electrical and Computer Engineering Dhaka Bangladesh Lamar University Phillip M. Drayer Department of Electrical Engineering TX United States Lamar University Industrial and Systems Engineering Department TX United States

ISBN: (纸本)9798331530013

To satisfy the requirements of UWB (3.1-10.6 GHz), a novel implanted ultra-wideband (UWB) antenna with a frequency range of 3.07-13.7 GHz has been developed, targeting biomedical applications. The antenna's performance was analyzed at 4 GHz, 6 GHz, 8 GHz, and 10 GHz in both in-body and free-space environments to ensure optimal functionality. The primary focus of the design is to create a compact, cost-effective, and high-performance antenna tailored for medical and healthcare applications. The radiating element consists of a rectangular patch fabricated on an FR-4 substrate, with total dimensions of 30\times 27\times 1.6\ \textmm^3. A partial ground plane is incorporated to achieve ultra-wideband characteristics, enabling a 10.63 GHz bandwidth that spans frequencies from 3.07 GHz to 13.7 GHz in open space. To evaluate the antenna's performance under implantation conditions, three human tissue layers are incorporated into the design. Key features such as radiation characteristics, gain, and directivity validate its suitability for use within the human body. The entire design process, including simulations and performance evaluations, was carried out using the CST Studio Suite software. © 2024 IEEE.

关键词： Ultra-wideband (UWB)

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STABILITY AND INTERACTION ANALYSIS OF GRID-FORMING TYPE IV WIND TURBINES 23

STABILITY AND INTERACTION ANALYSIS OF GRID-FORMING TYPE IV W...

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23rd Wind and Solar Integration Workshop, WIW 2024

作者： Udawatte, Harith E. Ravanji, Mohammad H. Bahrani, Behrooz Department of Electrical & Computer Systems Engineering Monash University Melbourne Australia Department of Electrical Engineering Sharif University of Technology Tehran Iran

ISBN: (纸本)9781837242689

The global shift to renewable energy, especially wind power, is critical for achieving carbon-neutral power systems but poses challenges to grid stability due to reduced system inertia from inverter-based resources. Grid-forming (GFM) control modes are emerging as key solutions to these stability issues. Given the vast potential of wind energy, ensuring that wind turbine generators (WTGs) comply with GFM control standards is essential. This paper explores GFM capabilities in Type IV WTGs, focusing on the interactions between grid-side and machine-side control dynamics. A simplified small-signal model is developed to efficiently analyse the direct coupling between active power and DC-link control, highlighting how GFM parameters like droop and inertia, along with the DC controller bandwidth, affect system stability. Time-domain simulations validate the proposed tuning guidelines and reveal distinct WTG response characteristics at different wind speeds during grid contingencies. These insights lay the groundwork for robust GFM control designs, essential for a stable integration of wind turbines into high-renewable power systems. © Energynautics GmbH.

关键词： Windmill

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Semi‑supervised contour‑driven broad learning system for autonomous segmentation of concealed prohibited baggage items

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Visual Computing for Industry,Biomedicine,and Art 2024年第1期7卷 1-18页

作者： Divya Velayudhan Abdelfatah Ahmed Taimur Hassan Muhammad Owais Neha Gour Mohammed Bennamoun Ernesto Damiani Naoufel Werghi Department of Electrical Engineering and Computer Sciences Center for Cyber‑Physical SystemsKhalifa University of Science and TechnologyAbu Dhabi 127788United Arab Emirates Department of Electrical Computer and Biomedical EngineeringAbu Dhabi UniversityAbu Dhabi 59911United Arab Emirates Department of Computer Science and Software Engineering the University of Western AustraliaPerthWA 6009Australia

With the exponential rise in global air traffic,ensuring swift passenger processing while countering potential security threats has become a paramount concern for aviation *** X-ray baggage monitoring is now standard,manual screening has several limitations,including the propensity for errors,and raises concerns about passenger *** address these drawbacks,researchers have leveraged recent advances in deep learning to design threatsegmentation ***,these models require extensive training data and labour-intensive dense pixelwise annotations and are finetuned separately for each dataset to account for inter-dataset ***,this study proposes a semi-supervised contour-driven broad learning system(BLS)for X-ray baggage security threat instance segmentation referred to as *** research methodology involved enhancing representation learning and achieving faster training capability to tackle severe occlusion and class imbalance using a single training routine with limited baggage *** proposed framework was trained with minimal supervision using resource-efficient image-level labels to localize illegal items in multi-vendor baggage *** specifically,the framework generated candidate region segments from the input X-ray scans based on local intensity transition cues,effectively identifying concealed prohibited items without entire baggage *** multi-convolutional BLS exploits the rich complementary features extracted from these region segments to predict object categories,including threat and benign *** contours corresponding to the region segments predicted as threats were then utilized to yield the segmentation *** proposed C-BLX system was thoroughly evaluated on three highly imbalanced public datasets and surpassed other competitive approaches in baggage-threat segmentation,yielding 90.04%,78.92%,and 59.44%in terms of mIoU on GDXray,SIXray,and Compass-XP,***,the lim

关键词： Baggage X-ray imagery Broad learning systems Threat detection Threat segmentation

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RUL Estimation for Power Electronic Devices Using RNNs

RUL Estimation for Power Electronic Devices Using RNNs

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2024 Prognostics and System Health Management Conference, PHM 2024

作者： Cai, Congrui Lu, Zhonghai School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Embedded Systems Master Program Sweden School of Electrical Engineering and Computer Science Department of Electrical Engineering KTH Royal Institute of Technology Sweden

ISBN: (纸本)9798350360585

Recurrent Neural Networks (RNNs) are commonly used in data-driven approaches to estimate the Remaining Useful Lifetime (RUL) of power electronic devices. RNNs are preferred because their intrinsic feedback mechanisms are better suited to model time-series data. However, the impact of RNN complexity on estimation accuracy is rarely discussed in the literature. This issue is important because choosing a lower-complexity model that delivers the same or similar performance as a higher-complexity model can increase implementation efficiency. In the paper, we use three RNN models, namely, the vanilla version, LSTM (Long Short Term Memory) and GRU (Gated Recurrent Unit) to conduct RUL estimation for power electronic devices. We use two accelerated aging datasets, one dataset targeting the package failure of MOSFETs, and the other dataset targeting package failure of power diodes. Our study shows that a lower-complexity RNN does not necessarily deliver a lower performance. Similarly, a higher-complexity model does not assure a higher performance. As such, our work highlights the importance of selecting a proper neural network for RUL estimation not biased towards complex models. This is especially useful and important for implementing such RUL estimation techniques in embedded resource-constrained and speed-limited computins platforms. © 2024 IEEE.

关键词： Long short-term memory

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Design of a Remote Controlled Puppet Robot Imitating a Manual Driven Puppet Using Deep Learning Pose Detection 12

Design of a Remote Controlled Puppet Robot Imitating a Manua...

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12th RSI International Conference on Robotics and Mechatronics, ICRoM 2024

作者： Hamzeh, Hamed Shahroozi, Kiarash Nabipour, Ahmad Kazemi, Parham Malek-Zahedi, Mohammad Hallajian, Mehdi Moradia, Hadi School of Electrical and Computer Engineering College of Engineering University of Tehran Advanced Robotics and Intelligent Systems Laboratory Iran

ISBN: (纸本)9798331529734

Traditional puppet manipulation systems often require human operators to be physically present in tight and cramped locations. This leads to challenges in the positioning and effective operation of puppets, particularly in the presence of children in educational settings. In this paper, we present the design, development, and integration of a cost-effective robotic system for remotely manipulating puppets in real-time. Additionally, the system integrates a YOLOv8 Pose Detection model, trained on a custom dataset with an accuracy of 91.4%, enabling real-time gesture recognition and allowing the robot to be controlled by imitating the motions of a manually operated puppet. The system demonstrates the potential for many applications, including interactive entertainment, teleoperation, and education. © 2024 IEEE.

关键词： Gesture recognition

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Nanogenerator-based bidirectional pressure sensor array and its demonstration in underwater invasive species detection

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Nano Research 2023年第9期16卷 11822-11831页

作者： Yunqi Cao Hongyang Shi Xiaobo Tan Nelson Sepúlveda State Key Laboratory of Industrial Control Technology College of Control Science and EngineeringZhejiang UniversityHangzhou 310027China Department of Electrical and Computer Engineering Michigan State UniversityEast LansingMichigan 48824USA

Lakes areas,which cause catastrophic damages in both commercial fishery and ecological ***,current assessment strategies may pose challenges for lake-wide abundance estimation and non-target anadromous species ***,we demonstrate an efficacious species-specific non-destructive sensing system based on porous ferroelectret nanogenerator for in-situ monitoring of lamprey spawning migration using their unique suction *** show that the porous structure enables a redistribution of surface charges under bidirectional deformations,which allows the detection of both positive and negative *** quasi-piezoelectric effect is further validated by quantitative analysis in a wide pressure range of−50 to 60 kPa,providing detailed insights into transduction working *** reliable lamprey detection,a 4×4-pixel sensor array is developed and integrated with a complementary metal-oxide-semiconductor(CMOS)based signal processing array thus constituting a sensing panel capable of recording oral suction patterns in an underwater environment.

关键词： bidirectional pressure sensing nanogenerators self-powered sensor array ferroelectret invasive species detection

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Binary Codes for Correcting Asymmetric Adjacent Transpositions and Deletions

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IEEE Transactions on Communications 2024年第6期73卷 3735-3749页

作者： Wang, Shuche Vu, Van Khu Tan, Vincent Y. F. National University Of Singapore Singapore Institute Of Operations Research And Analytics Singapore National University Of Singapore Singapore Department Of Industrial Systems Engineering And Management Singapore National University Of Singapore Singapore Department Of Mathematics Singapore National University Of Singapore Singapore Department Of Electrical And Computer Engineering Singapore

Codes in the Damerau-Levenshtein metric have received some attention by the research community recently owing to their applications in DNA-based data storage. In particular, Gabrys, Yaakobi, and Milenkovic (2017) designed a length-n code correcting a single deletion and s adjacent transpositions with at most (1+2s) log n bits of redundancy. In this work, we consider a new setting where both deletions and asymmetric adjacent transpositions may occur. For asymmetric transpositions, at most s+ 0-right shifts (i.e., 01 → 10) and at most s- 0-left shifts (i.e., 10 → 01) may occur. We present several constructions of the binary codes correcting these errors in various cases. In particular, we design a code correcting a single deletion, s+ right-shift, and s- left-shift errors with at most (1 + s) log(n + s + 1) + 1 bits of redundancy where s = s+ + s-. In addition, we investigate uniquely-decodable codes correcting t 0-deletions and s adjacent transpositions with at most (t + 2s) log n + o(log n) bits of redundancy. Then, we study the code for correcting t 0-deletions, s+ right-shift, and s- left-shift errors with list-decoding algorithms. Our main contribution here is the construction of a list-decodable code with list size O(ns) and with at most (max{t, s + 1}) log n + O(1) bits of redundancy, where s = s+ + s-. We construct non-systematic codes for correcting tb blocks of 0-deletions with l-limited magnitude and s adjacent transpositions with redundancy at most (2(tb+2s)+1) log(n+1)+O(1) bits and systematic codes with at most ((2(tb + 2s) + 1)(1 + 1/(log(tbl + 4))) log(N + 1) + O(log log N) redundant bits in an N-length codeword. © 1972-2012 IEEE.

关键词： Binary codes

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