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Combined Promoting Effects of Specific Organic Functional Groups and Alumina Surface Characteristics for the design of a Highly Efficient NiMo/Al_(2)O_(3) Hydrodesulfurization Catalyst

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China Petroleum Processing & Petrochemical technology 2024年第1期26卷 1-11页

作者： Li Huifeng Li Mingfeng Zhang Le Wang Wei Nie Hong National Energy R&D Center of Petroleum Refining Technology SINOPEC Research Institute of Petroleum Processing Co.Ltd.Beijing 100083China

To prepare a highly efficient NiMo/Al_(2)O_(3) hydrodesulfurization catalyst,the combined effects of specific organic functional groups and alumina surface characteristics were ***,the correlation between the surface characteristics of four different alumina and the existing Mo species states was *** was found that the Mo equilibrium adsorption capacity can be used as a specific descriptor to quantitatively evaluate the changes in surface characteristics of different alumina.A lower Mo equilibrium adsorption capacity for alumina means weaker metal-support interaction and the loaded Mo species are easier to transform into ***,the Mo-O-Al bonds still exist at the metal-support *** introduction of cationic surfactant hecadecyl trimethyl ammonium bromide(CTAB)can further improve Mo species dispersion through electrostatic attraction with Mo anions and interaction of its alkyl chain with the alumina surface;meanwhile,the introduction of ethylenediamine tetraacetic acid(EdTA)can complex with Ni ions to enhance the Ni-promoting effect on ***,the NiMo catalyst designed using alumina with lower Mo equilibrium adsorption capacity and the simultaneous addition of EdTA and CTAB exhibits the highest hydrodesulfurization activity for 4,6-dimethyl dibenzothiophene because of its proper metal-support interaction and more well-dispersed Ni-Mo-S active phases.

关键词： alumina Mo equilibrium adsorption capacity organic functional groups metal-support interaction hydrodesulfurization

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Assessment of the Blood Separation Performances of Asymmetric Cellulose Acetate Membranes Prepared through Combined Vapor-Induced Phase Separation and Electrospinning

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ACS Applied Materials and Interfaces 2025年第22期17卷 31923-31940页

作者： dizon, Gian Vincent Huang, Yu-Jen Lin, Fang-Cheng Maggay, Irish Valerie Chang, Yung Venault, Antoine R&D Center for Membrane Technology Department of Chemical Engineering Chung Yuan Christian University Chung-Li32023 Taiwan

This study introduces the formation of a composite cellulose acetate (CA) membrane for the removal of blood cells from blood-derived solutions. A vapor-induced phase separation (VIPS) CA membrane formed the bottom layer of the composite membrane. The exposure time to vapors was adjusted with the aim to open the pores of the surface exposed to the nonsolvent and obtain a membrane with a mean pore size of less than 0.4 μm. A 20 min exposure led to few pores in the microfiltration range decorating the top surface, while much more numerous pores were observed on the bottom surface in contact with the substrate during the phase-inversion process. differences between the top and bottom surface porosity in turn influenced wetting by water. The membranes with fastest top and bottom surfaces wettability were selected. Then, nanofibers with a mean pore size of 2.8 ± 0.3 μm were formed by electrospinning a CA solution on the bottom surface of the VIPS membrane. It resulted in the formation of a composite membrane with an asymmetric structure (large top surface pores and smaller bulk and bottom surface pores). The membranes were proven to be nonhemolytic (hemolysis rate © 2025 The Authors. Published by American Chemical Society.

关键词： Composite membranes

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Performance Evaluation of Apache TVM's MetaSchedule for Image Classification Models on Edge device 13

Performance Evaluation of Apache TVM's MetaSchedule for Imag...

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13th IEEE Global Conference on Consumer Electronic, GCCE 2024

作者： Hiramori, Masahiro Oidate, Shingo Mitsubishi Electric Corporation Information Technology R&d Center Kamakura Japan

ISBN: (纸本)9798350355079

Edge deep learning is rapidly being deployed in consumer devices such as home appliances, car navigation systems, and IoT devices. Given these devices' limited computational power and memory, optimizing deep learning models, expressed as tensor programs, is essential. This paper evaluates the inference performance of Apache TVM's MetaSchedule for optimizing image classification models on edge devices. MetaSchedule, a part of the Apache TVM open-source machine learning compiler, automates tensor program optimization for various hardware platforms. Our evaluation of 52 image classification models shows that MetaSchedule outperforms ONNX runtime in 45 models with up to 4.77x speedup (1.68x on average). However, MetaSchedule lags in models like EfficientNet-v2, VGG, and resNet50 with larger batch sizes. Future work will focus on expanding model support for MetaSchedule and enhancing optimization performance, contributing to low-latency, privacy-preserving, and bandwidth-efficient inference on edge devices. © 2024 IEEE.

关键词： Program compilers

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Evaluation of Migration Methods for High Transmission rate Nodes in rPL 13

Evaluation of Migration Methods for High Transmission Rate N...

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13th IEEE Global Conference on Consumer Electronic, GCCE 2024

作者： Kawashima, Yuki Nagai, Yukimasa Mitsubishi Electric Corporation Information Technology R&d Center Kamakura Japan

ISBN: (纸本)9798350355079

In wireless sensor networks, routing Protocol for Low Power and Lossy Networks (rPL) is used. recently, the replacement of wireless modules compatible with high transmission rates has been considered to speed up and increase the capacity of the networks. However, updating or replacing all existing nodes at once is challenging due to the large number of nodes in wireless sensor networks. To address this issue, this study investigates migration methods in rPL that allow gradual replacements to new nodes while maintaining current operational nodes by constructing routes that utilize as high transmission rates as possible. This paper reports that the proposed method reduces transmission time and improves network performance compared to the conventional rPL method. For instance, when the ratio of new nodes is 40%, the transmission time is reduced by approximately 58.2%, from 123.4 ms to 71.9 ms. © 2024 IEEE.

关键词： MESH networking

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Separation and recognition of Partial discharge Signals from Multiple Sources Using Encoder-decoder based Neural Network 5

Separation and Recognition of Partial Discharge Signals from...

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5th IEEE International Conference on dielectrics, ICd 2024

作者： Matsuyama, Kotaro Otake, Yasutomo Advanced Technology R&d Center Mitsubish Electric Corporation Hyogo Japan

ISBN: (纸本)9798350308976

Partial discharge (Pd) detection is important method to diagnose electric power equipment and find hidden dangers in it. There may exist multiple Pd sources in the equipment, which could seriously affect the accuracy of subsequent analysis. To separate the multi-source signal, clustering method and BSS method were applied. However, these methods have limitations such as requiring multiple sensors and not being usable in pulse overlapped case. In this paper, we introduced Conv-TasNet, which was trained to decompose the mixed signals and reconstruct the original signal. This method requires single sensor and can be available for overlapped case. We have obtained two types of partial discharge signals in laboratory and mixed them to simulate a multi-source Pd signal. The signals were generated to simulate the case of overlapped and non-overlapped pulses, respectively. The mixed signals entered Encoder-decoder based Neural Network and was separated into single-source signal. The separation accuracy of multi-Pd signals was evaluated by SI-SNr and these values were 25.22dB and 15.67dB, respectively. Furthermore, the defect types of separated signals were identified using CNN model. The accuracy of classification was almost 100%. These result shows that our proposed method can sufficiently separate multi-source Pd signals. © 2024 IEEE.

关键词： Solar cells

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Efficient and High-Quality Formal Verification for decision Tree Ensembles 24

Efficient and High-Quality Formal Verification for Decision ...

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24th IEEE International Conference on data Mining Workshops, ICdMW 2024

作者： Matsunaga, Saori Yoshimura, Genta Information Technology R&D Center Mitsubishi Electric Corporation Kanagawa Japan

ISBN: (纸本)9798331530631

Given that the inference of machine learning models is inductive and typically operates as a complex black box, applying conventional software testing methods proves challenging. However, formal testing methods are essential for ensuring the quality of machine learning software. This study proposes a formal verification framework specially designed for decision-tree-based ensemble models, which rigorously verifies whether a model satisfies the expected verification properties and summarizes the verification results. The proposed method exhaustively enumerates verification violations by efficiently searching the input space corresponding to the verification properties and summarizes the violation regions, allowing for the appropriate addressing of discovered violations. Experimental results on four datasets across three tasks confirm that the proposed method completes the verification more efficiently than existing methods, with one case demonstrating a reduction in verification time by approximately 1000 times. Additionally, by introducing a metric to quantify the quality of violation regions, we verified that the proposed method presents violation regions more accurately than existing approaches. Furthermore, we conducted an experiment to illustrate that the proposed method can identify unexpected hazardous behaviors in the model. © 2024 IEEE.

关键词： Black-box testing

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Multi-Step reiterative Super resolution: robust doppler-Angle Spectrum Estimation of Accelerated Targets with Antenna Position Errors

Multi-Step Reiterative Super Resolution: Robust Doppler-Angl...

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2024 IEEE International Symposium on Phased Array Systems and technology, ArrAY 2024

作者： Kitamura, Takayuki Oshima, Tadashi Sawa, Yoshitsugu Information Technology R&D Center Mitsubishi Electric Corporation Kanagawa Japan

ISBN: (纸本)9798350392142

recently, reIterative Super resolution (rISr) has gained attention in radar signal processing. rISr inherently provides a high-resolution angular spectrum. By expanding its error model, accurate spectrum calculations can be achieved, even with antenna position errors. However, this error model extension has previously been limited to antenna position errors alone. In this paper, we introduce a multi-step rISr (MS-rISr) algorithm designed for accurate estimation of a two-dimensional doppler-angle spectrum in scenarios involving accelerated targets observed by array antennas with antenna position errors. The proposed algorithm redefines the acceleration components of the targets as velocity observation errors, thereby incorporating both antenna position and velocity observation errors into its system model to achieve an accurate doppler-angle spectrum. Simulations demonstrate that the MS-rISr algorithm, consisting of multiple processing steps, can estimate the doppler-angle spectrum with high resolution. © 2024 IEEE.

关键词： radar target recognition

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A redundant data Elimination Method Based on Change detection 7

A Redundant Data Elimination Method Based on Change Detectio...

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7th International Conference on Pattern recognition and Artificial Intelligence, PrAI 2024

作者： Wang, Li Ma, Zhong Zhang, Shugang Xi'an Microelectronics Technology Institute R&d Innovation Center Xi'an China

ISBN: (纸本)9798350350890

In recent years, with the rapid development of aerospace technology, the variety of satellite payloads has increased, and the volume of remote sensing data has become increasingly massive. These changes have also put forward higher requirements for the functionality and performance of storage systems. Starting from the perspective of the content validity of image data, this paper proposes a redundant data elimination method based on change detection. By using a twin fully convolutional neural network to implement change detection for remote sensing images of the same scene at different times, and based on the change detection results, adopting certain strategies to eliminate unchanged areas, the method maximizes the elimination of redundant information in remote sensing data without losing effective information, thereby reducing the volume of stored data. The experimental results have verified the effectiveness of the proposed method. © 2024 IEEE.

关键词： Change detection

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Benefits of a distributed Coherent MIMO radar from the Perspective of Search radar range Equation

Benefits of a Distributed Coherent MIMO Radar from the Persp...

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2024 IEEE International Symposium on Phased Array Systems and technology, ArrAY 2024

作者： Takahashi, ryuhei Matsuda, Shoji Ito, Toshihiro Information Technology R&D Center Mitsubishi Electric Corporation Kamakura Japan

ISBN: (纸本)9798350392142

Search radar range equations for multiple-input multiple-output (MIMO) and single-input multiple-output (SIMO) radar systems are derived to compare their radar sensitivities to receiver noise. Based on the equations, a simple formula for calculating the sensitivity improvement of the MIMO radar over the SIMO radar is derived. Accordingly, the formula indicates that the sensitivity of the distributed coherent MIMO radar, where all transmit sub arrays are distributed to realize a large aperture, is superior to that of the SIMO radar. Three examples are presented to highlight the advantages of the distributed coherent MIMO radar: longer detection range, low radar-cross-section target detection, and reduced average transmitted power. © 2024 IEEE.

关键词： MIMO radar

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Precise Floor Plan recognition Algorithm Based on Keypoints 14

Precise Floor Plan Recognition Algorithm Based on Keypoints

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14th International Conference on Electronics, Communications and Networks, CECNet 2024

作者： Yin, deshuai Shi, Guanli Chen, Yifan Luan, Lin School of Computer and Technology Beijing Institute of Technology China R&D Center Qingdao China

ISBN: (纸本)9781643685632

Vectorization of floor plans (VFP) is an object detection task that involves the localization and recognition of different structural primitives in 2d floor plans(FP). The output of VFP can be further processed for the purpose of plan reconstruction, 3d reconstruction and automatic furniture layout. So far how to make the existing 2d floor plans vectorized faces the problem of recognition inaccuracy and inefficiency. This paper proposed a floor plan recognition algorithm based on key points, which is meaningful and useful. First, the algorithm identifies the effective subject of the FP with the help of the object detection algorithm;then, it builds a deep backbone network to identify the key points and semantic information of the marked plane elements;finally, the algorithm utilizes the post-processing algorithm to optimize and retrieve vectorized data information. Compared with existing methods, the algorithm adopted in this paper enhances the support for the recognition of elements such as sloping walls and bay windows, and effectively improves the recognition accuracy. © 2024 The Authors.

关键词： Floors

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