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2023 Symposium on Internet of Things, SIoT 2023

作者： Matos, Saulo Neves Coletti, Otavio Ferracioli Filho, Fernando Ugucioni De Carvalho, Ricardo C. C. L. Pinto, Thomas V. B. De Barros, Luiz G. D. Ranieri, Caetano Mazzoni Lopes, Bruno Eduardo Ueyama, Jo Pessin, Gustavo Institute of Mathematics and Computer Science University of Sao Paulo Brazil Sao Carlos School of Engineering University of Sao Paulo Brazil Vale Institute of Technology Ouro Preto Brazil Universidade Federal of Minas Gerais Graduate Program in Electrical Engineering MG Belo Horizonte Brazil Vale -SA Vitoria Brazil

ISBN: (纸本)9798350329438

Conveyor belts are commonly used in the mining industry for efficient material transport. However, they are prone to failures such as idler anomalies, belt tears, and misalignment. Current monitoring systems only evaluate the conveyor or idle belt's condition at the installation point. This study proposes a method to detect faults in conveyor belts, specifically idler anomalies and belt deviation, using two IMUs installed at the lateral extremities of the belt to evaluate its health along its route. In a reduced-scale conveyor belt, we conducted experiments by collecting gyroscopes and accelerometer data in various scenarios, including normal conditions and anomaly situations. We modified the idlers' physical structure or changed the belt tracks to create these scenarios. We used similarity analysis techniques to compare the data collected and performed statistical hypothesis analysis to observe the influence of the anomaly scenarios on the gyroscope and accelerometer data. We used Dynamic Time Warping (DTW) for gyroscope data to compare ground truth with anomaly scenarios. For the acceleration data, we performed vibration analysis by converting the time domain data to the frequency using Fast Fourier Transform (FFT) and evaluating the difference in spectral density between the reference and anomaly data. Statistical hypothesis analysis revealed that anomaly scenar-ios influenced the gyroscope x-axis and z-axis more. According to the spectral density analysis of the accelerometer, it was revealed that belt misalignment on the y-axis may be detected. © 2023 IEEE.

关键词： Belt conveyors

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Classification Methods for Recognition of Power Quality Disturbances in Distribution Networks Using Artificial Neural Network

Classification Methods for Recognition of Power Quality Dist...

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IEEE PES Asia-Pacific Power and Energy engineering Conference (APPEEC)

作者： Wassanan Buasi Watcharin Srirattanawichaikul Department of Electrical Engineering Faculty of Engineering Chiang Mai University Chiang Mai Thailand Graduate Program in Electrical Engineering Graduate School Chiang Mai University Chiang Mai Thailand Provincial Electricity Authority Bangkok Thailand

ISBN: (数字)9798350318098

ISBN: (纸本)9798350318104

This paper provides the power quality disturbances (PQDs) classification in distribution networks using an artificial neural network (ANN). Various forms of PQDs are considered, including sag, swell, harmonics, flickers, transients, sag with harmonics, and swell with harmonics. The simulation is divided into two parts. The first part is PQDs signals creation and feature extraction using discrete wavelet transform (DWT) and classification by using the dataset from the feature extraction step to be the input of artificial neural network (ANN). The second part is the model testing with the IEEE 9 bus test system with 5 PQDs, which is the most misclassified. The results of the proposed method will be demonstrated using simulation results in MATLAB/Simulink. The results show that the model can classify PQD signals into ten classes. The accuracy of the model is at 99.4%. After testing with the IEEE 9 bus test system, the total accuracy is at 95.6%.

关键词： Accuracy Power quality Artificial neural networks Distribution networks Feature extraction Harmonic analysis Mathematical models

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Selection of the Most Beneficial Flight Training Venue in the Airline Industry Using the Analytic Hierarchy Process (AHP) 23

Selection of the Most Beneficial Flight Training Venue in th...

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5th International Conference on Management Science and Industrial engineering, MSIE 2023

作者： Payumo, Redentor R. Redi, Anak Agung Ngurah Perwira German, Josephine D. Persada, Satria Fadil Nadlifatin, Reny School of Graduate Studies Mapua University Manila Philippines Department of Industrial Engineering Sampoerna University Jakarta Indonesia School of Industrial Engineering and Engineering Management Mapua University Manila Philippines Entrepreneurship Department Bina Nusantara University Binus Business School Undergraduate Program Jakarta Indonesia Department of Information System Institut Teknologi Sepuluh Nopember Surabaya Indonesia

ISBN: (纸本)9798400708381

The airline industry is a highly regulated industry where every aspect of operation requires adherence to regulations and policies mandated by the government. Safety is the core value-offering of fast and reliable air services, and this is achieved in part by the robust training requirement for pilots. Pilot training and qualifications are achieved with the use of full flight simulators. The significant costs involved in the use of the simulator, other additional costs involved, and the need to minimize pilots' time away from flight duties while undergoing training, require an effective selection process to decide on the most beneficial training venue. Not much research has been done on this topic area and the research gap necessitates a study of this nature. The goal is to provide a criteria analysis to support the simulator training venue decision process with the use of analytic hierarchy process (AHP). The analysis resulted to a selection among the alternatives that provide the best training venue for pilot training based on the evaluated criteria. It proved the applicability of the AHP when deciding on available alternatives based on set criteria. This study will contribute to the management of training requirements conducted by airlinetraining organizations and help their heads/managers/decision-makers in utilizing decision-making tools and processes when choosing the best alternative among available training resources. © 2023 ACM.

关键词： Accident prevention

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Analog-Based Synapse of Double HfZrO2 Ferroelectric FETs With Homogeneous Phase by Superlattice HfO2-ZrO2 Toward Energy Efficient Accelerator

IEEE Transactions on Materials for Electron Devices

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IEEE Transactions on Materials for Electron Devices 2024年 1卷 11-14页

作者： Z.-F. Lou A. Senapati J.-Y. Lee F.-S. Chang K.-Y. Hsiang Y.-T. Chang C. W. Liu S. Maikap M. H. Lee Program for Semiconductor Devices Materials and Hetero-integration Graduate School of Advanced Technology National Taiwan University Taipei Taiwan Department of Electronic Engineering Chang Gung University Taoyuan Taiwan Graduate Institute of Electronics Engineering National Taiwan University Taipei Taiwan Institute of Electronics Engineering National Yang Ming Chiao Tung University Hsinchu Taiwan

Since the analog-based energy-efficient accelerator for synapses is highly demanded in the artificial intelligence (AI) era, the homogeneous and coherence ferroelectric phase of HfZrO 2 (HZO) by superlattice (SL) growth mode with double layers is proposed in this work. The experimental results demonstrate excellent linear alternating consecutive potentiation and depression conductance (α p /α d = −0.85/0.63) with V RMS = 3 V. In addition, the proposed SL technique for HZOs validates the ferroelectric-based orthorhombic phase (o-phase) 75–79% by geometric phase analysis (GPA) compared to the solid-solution process for 62–64%. The double HZO (D-HZO) structure is employed for diverse coercive field (E C ) distributions to exhibit multistate data storage with 8 identical gap V T . The SL-DHZO has a sufficient ferroelectric domain, which is crucial to achieving the requirements of analog-based energy-efficient accelerators for synapses in computing in-memory generation.

关键词： Superlattices Memory Coherence Depression Energy efficiency Hafnium compounds Artificial intelligence

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Low Complexity Broadband Array Processing in Dynamic Scenarios with Jamming

Low Complexity Broadband Array Processing in Dynamic Scenari...

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IEEE Conference on Vehicular Technology (VTC)

作者： Daniel V. De Lima João Paulo J. Da Costa Ricardo K. Miranda Antonio Arlis S. Da Silva Giovanni A. Santos José Alfredo R. Vargas Auzuir R. De Alexandria Postgraduate Program in Telecommunications Engineering (PPGET) IFCE Fortaleza Brazil Hamm-Lippstadt University of Applied Sciences (HSHL) Lippstadt Germany Graduate School for Applied Research in North Rhine-Westphalia (PKNRW) Bochum Germany Karlsruhe Institute of Technology (KIT) Karlsruhe Germany Graduate Program in Computing (PPGC) UFRGS Porto Alegre Brazil Postgraduate Program in Mechatronics Engineering (PPMEC) UnB Brasilia Brazil

ISBN: (数字)9798350387414

ISBN: (纸本)9798350387421

Vehicle-to-Everything (V2X) networks require low-latency communications utilizing a broad spectrum while operating under jamming. In this sense, low complexity antenna array-based broadband jamming mitigation schemes are crucial in order to allow low latency communication and low-cost hardware. In this paper we propose low-complexity algorithms for signal recovery in broadband processing scenario applied to V2X. Numerical simulation of a jamming scenario demonstrate the proposed algorithm achieving the same performance in terms of signal-to-interference plus noise ratio (SINR) as the state-of-the-art while taking signiflcantly less time to compute.

关键词： Heuristic algorithms Prevention and mitigation Interference Numerical simulation Broadband communication Broadband antennas Jamming

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ZARISKI PAIRS ON CUBIC SURFACES

arXiv

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arXiv 2024年

作者： Shimada, Ichiro Mathematics Program Graduate School of Advanced Science and Engineering Hiroshima University 1-3-1 Kagamiyama Higashi-Hiroshima739-8526 Japan

A line arrangement of a smooth cubic surface is a subset of the set of lines on the cubic surface. We define a notion of Zariski pairs of line arrangements on general cubic surfaces, and make the complete list of thes...

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Towards an integrated MCDM and BSC method to support the digital transformation strategy in railway companies 28

Towards an integrated MCDM and BSC method to support the dig...

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28th ISTE International Conference on Transdisciplinary engineering, TE 2021

作者： Zanon, Gabriel Nogueira Szejka, Anderson Luis De Freitas Rocha Loures, Eduardo Industrial and Systems Engineering Graduate Program - PPGEPS Pontifical Catholic University of Paraná - PUCPR Curitiba Brazil

ISBN: (纸本)9781643682082

Digital transformation is now widely discussed and applied in different enterprises and under various organizational aspects. Traditional industries recognize the need to innovate and digitalize their business processes and models. Among these industries, the railway sector presents a vast space for digital transformation. The railway has several operational, regulatory, regional and technological specificities that must be taken into account in the digitalization processes. Given the multiple aspects involved and the transdisciplinarity, the digital transformation strategy and roadmap of companies must be defined in a way that fits it to the corporate strategy, allowing digital transformation program to be implemented effectively, prioritizing internal sectors with the greatest strategic impact, generating greater productivity, business models improvement, security and, above all, competitiveness for the sector. This research aims to propose a model for the definition of the digital transformation strategy in the railway companies using the Balanced Scorecard (BSC) as a tool for strategic organizational analysis and multi-criteria decision-making (MCDM) to define the drivers for digital transformation in the railway. Finally, to demonstrate the proposal, a case study will be carried out at a Brazilian railway company. © 2021 The authors and IOS Press.

关键词： Decision making

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3D Image Generation from X-Ray Projections Using Generative Adversarial Networks

3D Image Generation from X-Ray Projections Using Generative ...

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IEEE Symposium on Bioinformatics and Bioengineering (BIBE)

作者： Mohammad AlShurbaji Salam Dhou Biomedical Engineering Graduate Program American University of Sharjah Sharjah UAE Department of Computer Science and Engineering American University of Sharjah Sharjah UAE

The human brain can effortlessly imagine a 3D image from only 2D images with a little expertise and imagination, but for machines, this is not a trivial task. Because of this, reconstructing 3D images from 2D ones is a hot topic and has many applications. In this paper, we propose a Generative Adversarial Network (GAN)-based approach that generates CT-like images using pairs of orthogonal X-ray projections taken from different angles. In this work, a variety of orthogonal pairs from different angles, ranging from 0°&90° to 60°&150°, were considered as input to the 3D image generation model. The effectiveness of the proposed method was assessed by measuring the Structural Similarity Index (SSIM) and Peak Signal-to-Noise Ratio (PSNR), which resulted in values of 0.641 and 29.21, respectively. Furthermore, the model's ability to capture the respiratory motion in the input projections and reflect it in the generated images was also assessed. This work demonstrated the feasibility of generating CT-like images from X-ray projections captured from different orthogonal angles taking into consideration the respiratory motion exhibited in these projections.

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Simultaneous orthogonal shearography using two pairs of parallel slits and a tetra-split lens 13

Simultaneous orthogonal shearography using two pairs of para...

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Optical Measurement Systems for Industrial Inspection XIII 2023

作者： Lima, Tainara Pedrosa Barrera, Estiven Sánchez de Oliveira, Bernardo C.F. Armando Albertazzi, G. Graduate Program in Mechanical Engineering Technological Center Federal University of Santa Catarina PO Box 476 - University Campus Trindade SC Florianópolis88040-900 Brazil Universidad Tecnológica de Bolívar Bolivar Cartagena Colombia

ISBN: (数字)9781510664463

ISBN: (纸本)9781510664456

There are a growing number of industrial applications for shearography, especially in non-destructive testing of composite materials. Its tolerance to hostile environments is probably the most relevant success factor for industrial applications. The introduction of carrier fringes for phase recovery, replacing temporal phase shift techniques, allows measurements with a single exposure for each loading state, making shearography even more robust. Some defects are better evident when the shearing direction is horizontal. Others are best viewed with a vertical shearing direction. Thus, it is desirable to inspect in both directions. Fortunately, the literature reports some configurations capable of using carrier fringes to perform simultaneous measurements in more than one shearing direction. These systems work well, but since they use a mask with circular holes, they require a high amount of light. An alternative is the use of a pair of oblong slits, which increases the amount of light captured. This paper extends the use of oblong slit pairs for simultaneous measurement in two orthogonal shearing directions. Two pairs of parallel oblong slits are arranged orthogonally on the system mask. Although the Fourier transform of the resulting signal at the camera sensor contains the desired signals as well as a crosstalk between the slit pairs. However, the mask can be designed in such a way that the orthogonal signals are separable. To promote shearing in orthogonal directions, a polymeric lens was sectioned, forming four quadrants of 90°. The quadrants were radially displaced and arranged so that each oblong slit covers only one quadrant of the lens. As a result, four laterally shifted images are formed, two of them with horizontal shearing and the other two with vertical shearing. A proof-of-concept prototype was developed and the first results were evaluated by the authors in the laboratory environment and are presented in this article. The paper also shows details of the

关键词： Lenses

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DEVELOPING A DIGITAL TWIN FOR SINGLE-CELL MECHANICAL PHENOTYPING MICROFLUIDIC DEVICES 26

DEVELOPING A DIGITAL TWIN FOR SINGLE-CELL MECHANICAL PHENOTY...

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26th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2022

作者： Roychowdhury, Sayan Mahmud, Samreen T. Puleri, Daniel F. Lai, Andre Rex, Rachel Li, Brian Sohn, Lydia L. Randles, Amanda Department of Biomedical Engineering Duke University United States UC Berkeley-UC San Francisco Graduate Program in Bioengineering University of California Berkeley United States Department of Mechanical Engineering University of California Berkeley United States

ISBN: (纸本)9781733419048

Microfluidics can be used to characterize individual cells in a population based on their mechanical traits. In this work, we digitally replicate the microfluidic device developed by Li et al. [1] and perform simulations of a representative AP-1060 cell. We show that the numerical model is able to recover whole-cell deformability index, a metric used to quantify the resistance of cells to compressive deformation, within 3% of the experimental average. These results pave the way for future studies which utilize experimental and computational approaches to optimize geometric design parameters, complement signal analysis, and enhance the acquisition of mechanical information. © 2022 MicroTAS 2022 - 26th International Conference on Miniaturized Systems for Chemistry and Life Sciences. All rights reserved.

关键词： Fluid structure interaction

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