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2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023

作者： Miyazaki, Takeru Araki, Shunsuke Uehara, Satoshi Kyushu Inst. of Information Sciences Faculity of Management and Information Sciences Fukuoka Japan Kyushu Inst. of Technology Faculty of Computer Science and Systems Engineering Fukuoka Japan The Univ. of Kitakyushu Faculty of Environmental Engineering Fukuoka Japan

ISBN: (纸本)9798350324174

In this paper, we propose a new pseudorandom bit sequence generator, which is based on a method digging out walls. Although each of these sequences lacks enough randomness, synthesized sequences of them can pass all of the NIST statistical test suite. We also describe a conjectural relation between the number of types on the square mazes and their sizes. © 2023 IEEE.

关键词： Digging Out the Walls Maze Generator Pseudorandom Bit Sequence

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A batch microfabrication of a self-cleaning,ultradurable electrochemical sensor employing a BDD film for the online monitoring of free chlorine in tap water

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Microsystems & Nanoengineering 2022年第2期8卷 85-96页

作者： Jiawen Yin Wanlei Gao Weijian Yu Yihua Guan Zhenyu Wang Qinghui Jin Faculty of Electrical Engineering and Computer Science Ningbo University315211 NingboP.R.China State Key Laboratory of Transducer Technology Shanghai Institute of Microsystem and Information TechnologyChinese Academy of Sciences200050 ShanghaiP.R.China

Free chlorine is one of the key water quality parameters in tap ***,a free chlorine sensor with the characteristics of batch processing,durability,antibiofouling/antiorganic passivation and in situ monitoring of free chlorine in tap water continues to be a challenging *** this paper,a novel silicon-based electrochemical sensor for free chlorine that can self-clean and be mass produced via microfabrication technique/MEMS(Micro-Electro-Mechanical System)is proposed.A liquid-conjugated Ag/AgCI reference electrode is fabricated,and electrochemically stable BDD/Pt is employed as the working/counter electrode to verify the effectiveness of the as-fabricated sensor for free chlorine *** sensor demonstrates an acceptable limit of detection(0.056 mg/L)and desirable linearity(R^(2)=0.998).Particularly,at a potential of+2.5 V,hydroxyl radicals are generated on the BBD electrode by electrolyzing water,which then remove the organic matter attached to the surface of the sensor though an electrochemical digestion *** performance of the fouled sensor recovers from 50.2 to 94.1%compared with the initial state after self-cleaning for 30 *** addition,by employing the MEMS technique,favorable response consistency and high reproducibility(RSD<4.05%)are observed,offering the opportunity to mass produce the proposed sensor in the future.A desirable linear dependency between the pH,temperature,and flow rate and the detection of free chlorine is observed,ensuring the accuracy of the sensor with any hydrologic *** interesting sensing and selfcleaning behavior of the as-proposed sensor indicate that this study of the mass production of free chlorine sensors by MEMS is successful in developing a competitive device for the online monitoring of free chlorine in tap water.

关键词： chlorine batch electrode

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JTMA: Joint Multimodal Feature Fusion and Temporal Multi-head Attention for Humor Detection 4

JTMA: Joint Multimodal Feature Fusion and Temporal Multi-hea...

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4th Multimodal Sentiment Analysis Challenge and Workshop, MuSe 2023, In conjunction with ACM Multimedia 2023

作者： Li, Qi Xu, Yangyang Zhao, Zhuoer Tang, Shulei Zhang, Feixiang Wang, Ruotong Sun, Xiao Wang, Meng AHU-IAI AI Joint Laboratory Anhui University HeFei China Institute of Advanced Technology University of Science and Technology of China HeFei China School of Computer Science and Information Engineering Hefei University of Technology Institute of Artificial Intelligence Hefei Comprehensive National Science Center ZhongJuYuan Intelligent Technology Co Ltd HeFei China School of Computer Science and Information Engineering Hefei University of Technology Institute of Artificial Intelligence Hefei Comprehensive National Science Center HeFei China

ISBN: (纸本)9798400702709

In this paper, we propose a model named Joint multimodal feature fusion and Temporal Multi-head Attention (JTMA) to solve the MuSe-Humor sub-challenge in Multimodal Sentiment Analysis Challenge 2023. The goal of MuSe-Humor sub-challenge is to predict whether humor occurs in the given dataset that includes data from multiple modalities (e.g., text, audio and video). The cross-cultural testing presents a new challenge that makes it different from the previous years. To solve the above problems, the proposed model JTMA firstly uses a 1-D CNN to aggregate temporal information within the unimodal feature. Then the interactions of inter-modality and intra-modality are performed by the multimodal feature encoder module. Finally, we integrate the high-level representations learned from multiple modalities to accurately predict humor. The effectiveness of our proposed model is demonstrated through experimental results obtained on the official test set. Our model achieves an impressive AUC score of 0.8889, surpassing the performance of all other participants in the competition, and securing the Top 1 ranking. © 2023 ACM.

关键词： Sentiment analysis

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In-situ growth of titanium alkoxide network encapsulated perovskite nanograin for robust light emission

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Nano Research 2025年第4期18卷 435-442页

作者： Si Peng Yunlong Liu Ying Liu Hao Wang Mingyu Ma Wenjia Zhou Ruiqi Xu Xianyuan Jiang Danni Yu Wei Zhou Yingbo Zhao Zhijun Ning School of Physical Science and Technology ShanghaiTech UniversityShanghai 201210China State Key Laboratory of High Field Laser Physics and CAS Center for Excellence in Ultra-intense Laser Science Shanghai Institute of Optics and Fine Mechanics(SIOM)Chinese Academy of Sciences(CAS)Shanghai 201800China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of SciencesBeijing 100049China State Key Laboratory of Materials for Integrated Circuits Shanghai Institute of Microsystem and Information TechnologyChinese Academy of SciencesShanghai 200050China Shanghai Key Laboratory of High-resolution Electron Microscopy ShanghaiTech UniversityShanghai 201210China State Key Laboratory of Advanced Medical Materials and Devices ShanghaiTech UniversityShanghai 201210China

The construction of a thin stable shell to encapsulate perovskite with effective carrier transport is a promising strategy to fabricate highly efficient and stable perovskite based optoelectronic ***,it is generally difficult to control the thickness and location of the encapsulating materials,ideally on perovskite *** this work,we developed a one-step method for the growth of titanium alkoxide networks in-situ in perovskite film forming an encapsulating layer on perovskite nanograin *** thin encapsulating network brings much enhanced stability and allows effective carrier transport *** emitting diode based on this composite shows much enhanced stability under continuous operation.

关键词： perovskite light-emitting diodes metal organic framework titanium-oxo cluster

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An improved algorithm for regional cattle population counting under local optimal methods 6

An improved algorithm for regional cattle population countin...

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6th International Conference on Intelligent Control, Measurement and Signal Processing, ICMSP 2024

作者： Li, Bingxuan Fang, Jiandong Zhao, Yudong Inner Mongolia University of Technology College of Information Engineering Hohhot China Inner Mongolia Key Laboratory of Perceptive Technology and Intelligent Systems Hohhot China Inner Mongolia Autonomous Region Intelligent Agriculture and Animal Husbandry Perceptual Technology Collaborative Innovation Center Hohhot China

ISBN: (纸本)9798331516550

As a movable collateral, live cattle need to be accurately counted and recorded on a regular basis, such as their breeds, numbers and other important information. Aiming at the problems that the existing cattle number detection algorithms have leakage detection phenomenon for dense and small targets and have many parameters and large computation volume, which are not suitable to be deployed at the end of embedded devices, a CBG-YOLOv5s cattle number detection algorithm is proposed. The experimental results show that the improved model reduces the number of parameters and computation by 37.32% and 43.04%, respectively, compared with the original model YOLOv5s, and still maintains good detection accuracy. Finally, the lightened model was successfully deployed to Nvidia Jetson Nano mobile and verified by actually running on the development board. The model in this paper is able to ensure the accuracy of cattle identification, which can provide a reference for the accuracy of detecting the number of cattle in complex farming environments and under severe occlusion conditions. © 2024 IEEE.

关键词： Livestock

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Finger-actuated wireless-charging wearable multifunctional sweatsensing system for levodopa and vitamin C

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Nano Research 2024年第4期17卷 3096-3106页

作者： Qihong Ning Shaoqing Feng Qingwen Sun Ruoyao Yu Tangan Li Hao Xu Daxiang Cui Kan Wang School of Sensing Science and Engineering School of Electronic Information and Electrical EngineeringShanghai Jiao Tong UniversityKey Laboratory of Thin Film and Microfabrication Technology(Ministry of Education)Shanghai 200240China Department of Plastic and Reconstructive Surgery Shanghai Ninth People’s HospitalShanghai Jiao Tong University School of MedicineShanghai 200011China School of Naval Architecture Ocean&Civil EngineeringShanghai Jiao Tong UniversityShanghai 200240China

Efficient portable wearable sweat sensors allow the long-term monitoring of changes in the status of biomarkers in sweat,which can be useful in diagnosis,medication,and nutritional *** this study,we designed and tested a wireless,battery-free,flexible,self-pumping sweat-sensing system that simultaneously tracks levodopa and vitamin C levels in human sweat and detects body *** system includes a microfluidic chip with a self-driven pump and anti-reflux valve,a flexible wireless circuit board,and a purpose-designed smartphone *** microfluidic chip is used for the efficient collection of sweat and the drainage of excess *** dual electrochemical sensing electrodes in the chip are modified with functional materials and appropriate enzymatic reagents,achieving excellent selectivity and *** sensitivities of the levodopa sensor and the vitamin C sensor are 0.0073 and 0.0018μA·μM^(-1),respectively,and the detection correlation coefficients of both exceed *** sensors have a wide linear detection range of 0–100 and 0–1000μM,respectively,and low detection limits of 0.28 and 17.9μM,*** flexible wireless circuit board is equipped with the functions of wireless charging,electrical signal capture and processing,and wireless *** data recorded from each sensor are displayed on a smartphone via a self-developed app.A series of experimental results confirmed the reliability of the sweat-sensing system in noninvasively monitoring important biomarkers in the human body and its potential utility in the comprehensive assessment of biological health.

关键词： self-pumping microfluidic channel wireless charging wearable sensor health monitoring

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Analysis of Near-Field Scattering Measurements from Targets by Vortex Electromagnetic Wave 12

Analysis of Near-Field Scattering Measurements from Targets ...

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12th IEEE Asia-Pacific Conference on Antennas and Propagation, APCAP 2024

作者： Wu, Tao Li, Caipin Meng, Xiangshuai Peng, Wencan You, Dong Li, Shengyuan National Key Laboratory of Science and Technology on Space Microwave Xi'an710100 China Xi'an Institute of Space Radio Technology Xi'an710100 China Xi'an Jiaotong University School of Information and Communication Engineering Xi'an710049 China

ISBN: (纸本)9798350351019

In this paper, the near-field scattering measurement experiments of metal targets from vortex electromagnetic wave are carried out based on the holographic metasurface antenna, and the differences in near scattering properties of metal targets are excavated. Through simulation, an anisotropic holographic impedance metasurface array antenna operating at 16 GHz is designed to cover three kinds of vortex electromagnetic waves with modes -1, 0, and +1, and the measured modal purity is above 80%, therefor the amplitude and phase information of the scattering field of the typical metal targets such as ball, flat plate, and cone are measured in the microwave darkroom. The target near-field scattering measurement is consistent with FEKO simulation, and scattering properties of different targets vary significantly by surface modulation. This finding is an important contribution to the improvement of radar's comprehensive detection capability. © 2024 IEEE.

关键词： Microwave holography

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SysML static model conversion based on QVT-O 24

SysML static model conversion based on QVT-O

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8th International Conference on Electronic information technology and Computer engineering, EITCE 2024

作者： Ni, Yongkang Deng, Yuandan Mao, Yanling Chen, Weiqin School of Information and Software Engineering University of Electronic Science and Technology of China Sichuan Chengdu China Sichuan Provincial Key Laboratory of Intelligent Terminal jointly built by Hall and City Sichuan Yibin China University of Electronic Science and Technology of China Yibin Park Sichuan Yibin China

ISBN: (纸本)9798400710094

For the conversion from SysML (System Modeling Language) static model to dynamic model, the mapping between the two models is not direct or automated. A method to implement SysML static model conversion based on QVT-O (Query/Views/Transformation - Operational) is proposed. Extract necessary information from the BDD (Block Definition Diagram) of the SysML static model, and generate a sequence diagram corresponding to the dynamic model based on predefined rules and mapping between models. The effectiveness of this method is verified through a simple system. This automated conversion not only improves modeling efficiency, but also enhances the consistency and accuracy of the model, which has important practical value for system engineers in system design and analysis. © 2024 Copyright held by the owner/author(s).

关键词： Mapping

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MA2-FPN for Tiny Object Detection from Remote Sensing Images 15

MA2-FPN for Tiny Object Detection from Remote Sensing Images

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15th International Congress on Image and Signal Processing, BioMedical engineering and Informatics, CISP-BMEI 2022

作者： Li, Saiwei Tong, Qiang Liu, Xuhong Cui, Zhanqi Liu, Xiulei College of Computer Beijing Information Science and Technology University Beijing China Beijing Information Science and Technology University Beijing Advanced Innovation Center for Materials Genome Engineering Laboratory of Data Science and Information Studies Beijing China

ISBN: (数字)9781665488877

ISBN: (纸本)9781665488877

Tiny object detection has been a challenging topic in computer vision recent years. Moreover, in remote sensing field, smaller and clustered tiny objects make its detection more difficult compared to ground-based images. This makes general detectors fail to achieve good performance when facing tiny objects in remote sensing images. In this paper, we propose a Mask Augmented Attention Feature Pyramid Network(MA2-FPN) to detect tiny objects in remote sensing images, which consists of two modules, Attention Enhancement Module(AEM) and Mask Supervision Module(MSM). Specifically, AEM aggregates tiny target context and spatial feature information by large kernel separable convolutional attention mechanism, and MSM supervises AEM through a segmentation attention loss to aggregate attention information more accurately while suppressing the influence of irrelevant background. Experiments based on the AI-TOD benchmark show that our MA2-FPN achieves state-of-the-art(SOTA) level. © 2022 IEEE.

关键词： Object detection

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A Two-phase Approach to Determine User-Preference and Feature Importance in Pricing of Cryptocurrencies using Twitter Data 19

A Two-phase Approach to Determine User-Preference and Featur...

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19th IEEE International Conference on e-Business engineering, ICEBE 2023

作者： Maity, Saptashwa Khan, Soujatya Sarkar, Sobhan Indian Institute of Technology Department of Agricultural and Food Engineering Kharagpur India University of Engineering and Management Department of Computer Science and Engineering Kolkata India Indian Institute of Management Information Systems and Business Analytics Ranchi India

ISBN: (纸本)9798350325553

Twitter is one of the best places to learn how people feel about current affairs related to the forecast of cryptocurrencies. There have been unavailability of any robust models for determining the user-preference of the major cryptocurrencies in the market on the basis of the tweets made by the major investors. Morever, the statistical dependency and the feature importance of the various contributing features in determining the prices of these cryptocurrencies has been a major concern too. This study proposes a novel two-phase robust hybrid approach for determining both user preference and feature importance of various contributing features on pricing of top cryptocurrencies in the market. It determines the user-preference on the basis of the subjectivity and polarity score obtained from the sentiment polarity classification of the tweets. It also determines both statistical dependency and feature importance of the various contributing features involved in pricing of the top cryptocurrencies in the market with the help of SHapley Additive exPlanations (SHAP) score. We have used two types of datasets for our detailed study. Additionally, knowledge graphs have been used to describe the capacity to recognise semantic data. With accuracy, precision, recall, F-1 score, and AUC-ROC values of 92%, 88%, 85%, 95%, and 94%, respectively our proposed approach outperformed conventional machine learning techniques. © 2023 IEEE.

关键词： Costs

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