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Do Media Reports Matter to House Price Expectations?Evidence from Beijing

Journal of Systems Science and Information 2022年第4期10卷 388-409页

作者： Jing HE Diandian MA Xiuting LI Jichang DONG Postdoctoral Research Center of Agricultural Bank of China Beijing 100005China School of Statistics Renmin University of ChinaBeijing 100872China School of Economics and Management University of Chinese Academy of SciencesBeijing 100190China Key Laboratory of Big Data Mining and Knowledge Management Chinese Academy of SciencesBeijing 100190China

House price expectations(HPE)is a key factor affecting housing market *** Beijing as an example,this study innovatively proposes an internet data-based measurement of HPE and text analysis-based quantification of media reports from media attention and media *** model is performed to empirically test the impact of media reports on the level and accuracy of *** empirical results show no significant relationship between media attention and the level of HPE,but a significant relationship to the accuracy of *** higher the media attention(i.e.,the more intensive the media reports),the smaller the deviation between HPE and actual housing *** attitude of media reports is significantly related to the level and accuracy of *** is easier to guide the formation of HPE through media reports with clear opinions,indicating that media could promote the sustainable development of the real estate market.

关键词： media reports real estate market housing prices public expectations

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Nanoantidotes: A Detoxification System More Applicable to Clinical Practice

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Biomedical engineering Frontiers 2023年第1期4卷 113-115页

作者： Jiazhen Yang Jianxun Ding Key Laboratory of Polymer Ecomaterials Changchun Institute of Applied ChemistryChinese Academy of Sciences5625 Renmin StreetChangchun 130022P.R.China School of Applied Chemistry and Engineering University of Science and Technology of China96 Jinzhai RoadHefei 230026P.R.China

Since 2010,there has been a much greater awareness of the problem of intoxication,which has become the most common form of accidental and intentional *** 2020,more than 90,000 people died of intoxication in the United States,which surpassed deaths due to motor vehicle accidents and firearms use to become the leading external cause of mortality.

关键词： death mortality Clinical

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ZnIn_(2)S_(4)双空位调控极化电场用以提升光催化产氢及协同氧化苄胺

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Science china Materials 2023年第6期66卷 2299-2307页

作者：邓晓婿陈鹏王旭崔瑞瑞邓朝勇 School of Electronics and Information Engineering Guiyang UniversityGuiyang 550005China Key Laboratory of Electronic Composites Materials of Guizhou Province College of Big Data and Information EngineeringGuizhou UniversityGuiyang 550025China Key Laboratory of Green Chemical and Clean Energy Technology of Guizhou Provincial School of Chemistry and Chemical EngineeringGuizhou UniversityGuiyang 550025China

光生载流子无定向的迁移及高的反应能垒,严重地抑制了光催化产氢及协同苄胺氧化的效率.本文利用简单的水热与碱刻蚀法制备了富含锌、硫双空位的硫铟化锌.在无共催化剂的条件下,该催化剂展现出优异的光催化产氢性能与苄胺转化速率.实验... 详细信息

光生载流子无定向的迁移及高的反应能垒,严重地抑制了光催化产氢及协同苄胺氧化的效率.本文利用简单的水热与碱刻蚀法制备了富含锌、硫双空位的硫铟化锌.在无共催化剂的条件下,该催化剂展现出优异的光催化产氢性能与苄胺转化速率.实验数据及理论计算表明,双空位重置了硫铟化锌的电子结构,并增强了其极化电场.这些调控将有助于激子的分离及载流子的定向迁移.另外,Zn与S空位充当了氢离子与苄胺吸附的活性位点,极大地提高了其催化活性.因此,本文不仅提供了一种调控极化电场的方法,也为苄胺氧化与协同产氢提供了更深入的见解.

关键词：光生载流子协同氧化氢离子催化活性双空位实验数据极化电场激子

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Vision Transformer Based Hash Coding for Efficient Image and Audio Retrieval with Global and Local Equilibrium Distance Constraints

Vision Transformer Based Hash Coding for Efficient Image and...

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2024 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2024

作者： Liu, Ye Pan, Yan Yin, Jian School of Computer Science and Engineering Sun Yat-sen University Guangzhou China Guangdong Key Laboratory of Big Data Analysis and Processing Guangzhou China Lizhi Inc. Artificial Intelligence and Big Data Department Guangzhou Beijing China School of Artificial Intelligence Sun Yat-sen University Zhuhai China

ISBN: (纸本)9781665410205

With the application of efficient retrieval in information systems and retrieval augmented generation with vector database for large language models, hash coding algorithms have made progress in recent years. The rise of transformer technology in the field of deep learning has brought the possibility to further improve the effect of hash coding algorithms. We introduce the vision transformer framework to both images and audios, and propose a novel approach for the tasks of multi-label image retrieval and audio event retrieval. In the proposed hash coding model, global and local equilibrium distance constraints are integrated, so that the hash codes for images can be better obtained through the global hash centers and local similar samples. In order to realize end-to-end training and hash code generation for audios, we adopt the adapter of mel spectrogram, thus the proposed approach can be simply converted and applied to audio hash coding. Comparative experiments verify that better results can be achieved on multiple image and audio datasets. © 2024 IEEE.

关键词： Image coding

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Optimization Scheme of Active Reconfigurable Intelligent Surface Assisted Internet of Vehicles System

Optimization Scheme of Active Reconfigurable Intelligent Sur...

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2024 International Workshop on Automation, Control, and Communication engineering, IWACCE 2024

作者： Xu, Zhuoran Ni, Yiyang Sun, Wenxue Liu, Yaxuan Mo, Zhaoying Zhao, Haitao Jiangsu Key Laboratory of Wireless Communications Nanjing University of Posts and Telecommunications Nanjing210003 China Jiangsu Province Engineering Research Center of Basic Education Big Data Application Jiangsu Second Normal University Nanjing210013 China

ISBN: (数字)9781510685420

ISBN: (纸本)9781510685413

In recent years, the Integrated Satellite Aerial Terrestrial (I-SAT) network has emerged as an innovative and comprehensive communication system and has gained wide attention. However, in the face of a complex external environment, it will still be affected by other factors. This paper considers the integration of Unmanned Aerial Vehicle (UAV) with Reconfigurable Intelligent Surfaces (RIS) and introduces a novel sub-connected active RIS architecture under the energy consumption constraints of the system. Firstly, a joint RIS phase shift, amplification, and UAV trajectory optimization algorithm is proposed to achieve a high achievable sum rate. Secondly, a Deep Deterministic Policy Gradient (DDPG) algorithm is utilized to solve the optimization problem and converge in a continuous action space. Finally, simulation results confirm that the proposed approach significantly enhances the system performance compared to the other schemes. © 2024 SPIE. All rights reserved.

关键词： Unmanned aerial vehicles (UAV)

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Research on Destination Tourism data Based on CNN-BiLSTM and STL-LSTM Methods for data Continuity Problem

Research on Destination Tourism Data Based on CNN-BiLSTM and...

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2024 International Conference on Culture-Oriented Science and Technology, CoST 2024

作者： Lei, Zhengguang Zhao, Wenqing Li, Caihong Yang, Yi Wei, Xingbao Dunhuang Academy Dunhuang736200 China Lanzhou University School of Information Science and Engineering Lanzhou730000 China Ministry of Culture and Tourism Key Laboratory of Tourism Information Fusion Processing and Data Ownership Protection Lanzhou730000 China

ISBN: (纸本)9798350380347

This study addresses challenges in sentiment classification accuracy and time series forecasting precision by analyzing visitor reviews and flow data for the Dunhuang Mogao Grottoes. Using a Convolutional Neural Network-Bidirectional Long Short-Term Memory (CNN-BiLSTM) model for sentiment analysis, the study demonstrated superior performance in classifying positive reviews compared to traditional machine learning and Text Convolutional Neural Network (TextCNN) models, despite slightly lower recall and accuracy for negative reviews. Time series forecasting with the Seasonal-Trend Decomposition using Loess-Long Short-Term Memory (STLLSTM) model exhibited higher accuracy for short periods (e.g., 2 days), with an average MAE of 35.71, RMSE of 59.02, and R2 of 0.93, though accuracy decreased over longer periods (e.g., 30 days). This research provides insights into visitor sentiments and patterns, offering management and strategy recommendations to enhance visitor experiences. Future studies should refine these models to improve accuracy and efficiency. © 2024 IEEE.

关键词： Convolutional neural networks

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SoSpider:A bio-inspired multimodal untethered soft hexapod robot for planetary lava tube exploration

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Science china(Technological Sciences) 2023年第11期66卷 3090-3106页

作者： NIU LiZhou DING Liang ZHANG ShengJie YANG HuaiGuang GAO HaiBo DENG ZongQuan LIU GuangJun HOSSAIN Mokarram State Key Laboratory of Robotics and Systems Harbin Institute of TechnologyHarbin 150001China Department of Aerospace Engineering Ryerson UniversityToronto ON M5B 2K3Canada Zienkiewicz Institute for Modelling Data and AISwansea UniversitySwansea SA18ENUnited Kingdom

Soft robots have tremendous potential for applications in various fields,owing to their safety and flexibility embedded at the material *** robots,especially bio-inspired soft legged robots,have become one of the most active fields of current research in robotics thanks to their superior mobility and ability to face complex ***,it is arduous to establish a dynamic simulation model for soft robots,owing to their hyper-redundant degrees of freedom,hyper-elasticity,and nonlinearity of their soft *** this study,we designed,simulated,and fabricated a hexapod robot that achieves walking,crawling,pronking,and rolling with wheeled legs plus a soft body capable of shape change.A robot prototype was fabricated using 3D printing technology and soft silicone pneumatic ***,battery power,and control boards were integrated into the body of the robot for untethered *** have explored the capabilities of the robot in different conditions,especially in scenarios that simulate lunar and Martian environments,demonstrating the motion performance of the *** results have shown promising potentials of the developed robot for future applications in planetary lava tube *** experimental and simulation results also show good agreements that indicate the potential predictive roles of simulation tools for soft robot design,planning,and control.

关键词： multimodal soft robot pneumatic simulation planetary exploration

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Multi-objective optimization analysis of an electric vehicle air-conditioning system based on AMEsim and HEEDS 10

Multi-objective optimization analysis of an electric vehicle...

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10th International Conference on Energy Materials and Electrical engineering, ICEMEE 2024

作者： Yao, Mengliang Zeng, Zhixin Ruan, Xianzhen Peng, Changbo Zhu, Liang Li, Siwang Feng, Bo Xu, Zichen Xie, Peng Wang, Chaoqian Automotive Engineering Institute Guangzhou Automobile Group Co. LTD Guangzhou511434 China School of Mechanical and Automotive Engineering South China University of Technology Guangzhou510641 China Guangdong Provincial Key Laboratory of Fuel Cell Technology School of Chemistry and Chemical Engineering South China University of Technology Guangzhou510640 China Automotive Data of China co. Ltd Tianjin300300 China

ISBN: (纸本)9781510686243

The air conditioning system of electric vehicles is crucial to ensure the comfort of passengers and reduce energy consumption. This paper establishes a multi-objective optimization co-simulation model of an electric vehicle air conditioning system based on AMEsim and HEEDS. With the system cooling capacity, compressor energy consumption, performance of coefficient, and temperature drop time as the optimization objectives and the evaporator outlet air temperature, operating pressure, and pressure ratio as the constraints, the NSGA-Ⅲ algorithm is used to select the system operating parameters that meet the optimization objectives and constraint conditions. The effects of different operating parameters on the optimization objectives are analyzed. The results show that the research method can effectively locate a reasonable range of different operating parameters, compressor speed is the most important factor affecting the optimization objectives, and parameter sensitivity analysis results help formulate more effective operation control strategies. © 2024 SPIE.

关键词： Sensitivity analysis

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Secondary Access Class Barring for Machine Type Communications with PUSCH Resource Constraints 100

Secondary Access Class Barring for Machine Type Communicatio...

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100th IEEE Vehicular Technology Conference, VTC 2024-Fall

作者： Wen, Yuxuan Yang, Liu Bai, Chaoyuan Liu, Heng Chengdu611756 China Southwest Jiaotong University Key Lab of Information Coding & Transmission Institude of Mobile Communication Chengdu611756 China National Engineering Laboratory of Integrated Transportation Big Data Application Technology Chengdu611756 China

ISBN: (纸本)9798331517786

With the continuous increase of IoT devices, multiple devices desire to use network resources simultaneously during peak hours and overload conditions, leading to collisions and a reduction in the network's effective throughput. The Access Class Barring (ACB) method has been proposed as the optimal potential solution in LTE communication networks to overcome this problem. However, existing ACB schemes do not fully utilize preamble resources, and most schemes do not consider the situation where PUSCH resources are limited. Therefore, this paper proposes a two-stage ACB algorithm that considers the situation of limited PUSCH resources. This algorithm recycles part of the preamble resources and sets the ACB factor based on the number of PUSCH resources. Simulation results show that our proposed algorithm significantly outperforms traditional schemes in terms of total service time, delay, throughput, and PUSCH resource efficiency. © 2024 IEEE.

关键词： Internet of things

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Attention-Based Residual Dense Shrinkage Network for ECG Denoising

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Computer Modeling in engineering & Sciences 2024年第3期138卷 2809-2824页

作者： Dengyong Zhang Minzhi Yuan Feng Li Lebing Zhang Yanqiang Sun Yiming Ling Hunan Provincial Key Laboratory of Intelligent Processing of Big Data on Transportation Changsha University of Science and TechnologyChangsha410114China School of Computer and Communication Engineering Changsha University of Science and TechnologyChangsha410114China School of Computer and Artificial Intelligence Huaihua UniversityHuaihua418000China School of Computer National University of Defense TechnologyChangsha410073China New Energy Centralized Control Center CHN Energy Hunan Power New Energy Co.Ltd.Changsha410000China

Electrocardiogram(ECG)signal is one of the noninvasive physiological measurement techniques commonly usedin cardiac ***,in real scenarios,the ECGsignal is susceptible to various noise erosion,which affectsthe subsequent pathological ***,the effective removal of the noise from ECG signals has becomea top priority in cardiac diagnostic *** at the problem of incomplete signal shape retention andlow signal-to-noise ratio(SNR)after denoising,a novel ECG denoising network,named attention-based residualdense shrinkage network(ARDSN),is proposed in this ***,the shallow ECG characteristics are extractedby a shallow feature extraction network(SFEN).Then,the residual dense shrinkage attention block(RDSAB)isused for adaptive noise ***,feature fusion representation(FFR)is performed on the hierarchicalfeatures extracted by a series of RDSABs to reconstruct the de-noised ECG *** on the MIT-BIHarrhythmia database and MIT-BIH noise stress test database indicate that the proposed scheme can effectively resistthe interference of different sources of noise on the ECG signal.

关键词： Electrocardiogram signal denoising signal-to-noise ratio attention-based residual dense shrinkage network MIT-BIH

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