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arXiv 2020年

作者： Wang, Qisheng Ying, Mingsheng The Graduate School of Mathematics Nagoya University Nagoya Japan The Department of Computer Science and Technology Tsinghua University Beijing China The State Key Laboratory of Computer Science Institute of Software Chinese Academy of Sciences Beijing China

Lexicographically minimal string rotation (LMSR) is a problem to find the minimal one among all rotations of a string in the lexicographical order, which is widely used in equality checking of graphs, polygons, automata and chemical structures. In this paper, we propose an O(n3/4) quantum query algorithm for LMSR. In particular, the algorithm has average-case query complexity O(√n log n), which is shown to be asymptotically optimal up to a polylogarithmic factor, compared to its Ω (pn/ log n ) lower bound. Furthermore, we show that our quantum algorithm outperforms any (classical) randomized algorithms in both worst and average cases. As an application, it is used in benzenoid identification and disjoint-cycle automata minimization. Copyright © 2020, The Authors. All rights reserved.

关键词： Rotation

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Iterative Network for Image Super-Resolution

arXiv

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arXiv 2020年

作者： Liu, Yuqing Wang, Shiqi Zhang, Jian Wang, Shanshe Ma, Siwei Gao, Wen The School of Software Dalian University of Technology Dalian116620 China The Department of Computer Science City University of Hong Kong Hong Kong The School of Electronic and Computer Engineering Peking University Shenzhen Graduate School Shenzhen China The School of Electronics Engineering and Computer Science Institute of Digital Media Peking University Beijing100871 China

Single image super-resolution (SISR), as a traditional ill-conditioned inverse problem, has been greatly revitalized by the recent development of convolutional neural networks (CNN). These CNN-based methods generally map a low-resolution image to its corresponding high-resolution version with sophisticated network structures and loss functions, showing impressive performances. This paper provides a new insight on conventional SISR algorithm, and proposes a substantially different approach relying on the iterative optimization. A novel iterative super-resolution network (ISRN) is proposed on top of the iterative optimization. We first analyze the observation model of image SR problem, inspiring a feasible solution by mimicking and fusing each iteration in a more general and efficient manner. Considering the drawbacks of batch normalization, we propose a feature normalization (F-Norm, FN) method to regulate the features in network. Furthermore, a novel block with FN is developed to improve the network representation, termed as FNB. Residual-in-residual structure is proposed to form a very deep network, which groups FNBs with a long skip connection for better information delivery and stabling the training phase. Extensive experimental results on testing benchmarks with bicubic (BI) degradation show our ISRN can not only recover more structural information, but also achieve competitive or better PSNR/SSIM results with much fewer parameters compared to other works. Besides BI, we simulate the real-world degradation with blur-downscale (BD) and downscale-noise (DN). ISRN and its extension ISRN+ both achieve better performance than others with BD and DN degradation models. Copyright © 2020, The Authors. All rights reserved.

关键词： Optical resolving power

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A feature extraction method for daily-periodic time series based on AETA electromagnetic disturbance data 2019

A feature extraction method for daily-periodic time series b...

引用

4th International Conference on Mathematics and Artificial Intelligence, ICMAI 2019

作者： Li, Bohang Zhang, Xing Wang, Xin'an Yong, Shanshan Zhang, Jiyan Huang, Jipan Earthquake Monitoring and Prediction Technology Research Center Peking University Shenzhen Graduate School Shenzhen China School of Electronics Engineering and Computer Science Peking University Beijing China

ISBN: (纸本)9781450362580

Seismic monitoring data and some geophysical data often show time series data with daily-periodic amplitude jump. In this kind of time series, the sharp change of amplitude will naturally become the focus of attention, but at the same time, it is easy to ignore the information beyond the dramatic change of amplitude. Therefore, this paper proposes a feature extraction method for this kind of time series data, which can help obtain important information from data other than the dramatic changes in magnitude. By comparing the feature importance between the feature obtained by the proposed feature extraction method and the original feature, it shows that the new feature importance is 1.38 times higher than the original feature importance on average, which also proves the effectiveness of the proposed method. © 2019 Association for Computing Machinery.

关键词： Time series

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The data mining of strong earthquakes' occurring time based on the traditional Chinese calendar 2019

The data mining of strong earthquakes' occurring time based ...

引用

4th International Conference on Mathematics and Artificial Intelligence, ICMAI 2019

作者： Huang, Jipan Wang, Xin'an Yong, Shanshan Earthquake Monitoring and Prediction Technology Research Center Peking University Shenzhen Graduate School Shenzhen China School of Electronics Engineering and Computer Science Peking University Beijing China

ISBN: (纸本)9781450362580

This paper did the systemic data mining of the earthquakes' occurring time information under the traditional Chinese calendar for the first time. The China seismic catalogues (M5-M7) of 1965- 2016 and the Northern Hemisphere seismic catalogues (M6-M8) of 1973-2016 under the Gregorian calendar were converted to the ones under the traditional Chinese calendar. The statistics result shows that the seismic frequency in spring is clearly higher than that in summer and the seismic frequency in autumn is higher than that in winter in China and the Northern Hemisphere. At the same time, the seismic frequency near the time of spring-neap tide (the new moon, the first quarter moon, the full moon and the last quarter moon) is clearly about 30% or more higher than that in other days. The 2004 Indonesian tsunami, the 2008 Wenchuan earthquake, the 2011 Tokyo earthquake et al. followed the above rules. These rules can guide people's production and life. © 2019 Association for Computing Machinery.

关键词： Earthquakes

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MQA: Answering the Question via Robotic Manipulation

arXiv

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arXiv 2020年

作者： Deng, Yuhong Guo, Di Guo, Xiaofeng Zhang, Naifu Liu, Huaping Sun, Fuchun Department of Computer Science and Technology Tsinghua University China Beijing National Research Center for Information Science and Technology Center of Intelligent Control and Telescience Tsinghua Shenzhen International Graduate School Tsinghua University China

In this paper, we propose a novel task, Manipulation Question Answering (MQA), where the robot performs manipulation actions to change the environment in order to answer a given question. To solve this problem, a framework consisting of a QA module and a manipulation module is proposed. For the QA module, we adopt the method for the Visual Question Answering (VQA) task. For the manipulation module, a Deep Q Network (DQN) model is designed to generate manipulation actions for the robot to interact with the environment. We consider the situation where the robot continuously manipulating objects inside a bin until the answer to the question is found. Besides, a novel dataset that contains a variety of object models, scenarios and corresponding question-answer pairs is established in a simulation environment. Extensive experiments have been conducted to validate the effectiveness of the proposed framework. Copyright © 2020, The Authors. All rights reserved.

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Mixed Crystalline Covalent Heptazine Frameworks with Built-in Heterojunction Structures towards Efficient Photocatalytic Formic Acid Dehydrogenation

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Angewandte Chemie 2024年第43期136卷

作者： Cheng Cheng Siquan Zhang Jin Zhang Lijiang Guan Prof. Mohamed E. El-Khouly Prof. Shangbin Jin School of Chemical Engineering and Technology Xi'an Jiaotong University No. 28 Xianning West Road Xi'an Shaanxi 710049 China Department of Chemistry Graduate School of Science Kyoto University Kitashirakawa-Oiwakecho Sakyo-ku Kyoto 606-8502 Japan Nanoscience Program Institute of Basic and Applied Sciences (BAS) Egypt-Japan University of Science and Technology (E-JUST) New Borg El-Arab City Alexandria 21934 Egypt

Covalent heptazine frameworks (CHFs) are widely utilized in the recent years as potential photocatalysts. However, their limited conjugated structures, low crystallinity and small surface areas have restricted the practical photocatalysis performance. Along this line, we report herein the synthesis of a kind of mixed crystalline CHF ( m -CHF-1) with built-in heterojunction structure, which can efficiently catalyze the formic acid dehydrogenation by visible light driven photocatalysis. The m -CHF-1 is synthesized from 2,5,8-triamino-heptazine and dicyanobenzene (DCB) in the molten salts, in which DCB plays as organic molten co-solvent to promote the rapid and ordered polymerization of 2,5,8-triamino-heptazine. The m -CHF-1 is formed by embedding phenyl-linked heptazine (CHF−Ph) units in the poly(heptazine imide) (PHI) network similar to doping. The CHF−Ph combined with PHI form an effective type II heterojunction structure, which promote the directional transfer of charge carriers. And the integration of CHF−Ph makes m -CHF-1 have smaller exciton binding energy than pure PHI, the charge carriers are more easily dissociated to form free electrons, resulting in higher utilization efficiency of the carriers. The largest hydrogen evolution rate reaches a value of 42.86 mmol h −1 g −1 with a high apparent quantum yield of 24.6 % at 420 nm, which surpasses the majority of other organic photocatalysts.

关键词： covalent heptazine framework porous materials photocatalysis heterojunction hydrogen production

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Four-layer Convnet to Facial Emotion Recognition With Minimal Epochs and the Significance of Data Diversity

Research Square

引用

Research Square 2021年

作者： Debnath, Tanoy Mahfuz Reza, Md. Rahman, Anichur Band, Shahab S. Alinejad-Rokny, Hamid Department of Computer Science and Engineering Mawlana Bhashani Science and Technology University Tangail Bangladesh Dhaka Savar Bangladesh Future Technology Research Center College of Future National Yunlin University of Science and Technology 123 University Road Section 3 Yunlin Douliu64002 Taiwan BioMedical Machine Learning Lab The Graduate School of Biomedical Engineering UNSW Sydney SydneyNSW2052 Australia SydneyNSW2052 Australia Research Centre Macquarie University Sydney2109 Australia

Emotion recognition defined as identifying human emotion and is directly related to different fields such as human-computer interfaces, human emotional processing, irrational analysis, medical diagnostics, data-driven animation, human-robot communication and many more. The purpose of this study is to propose a new facial emotional recognition model using convolutional neural network. Our proposed model, "ConvNet", detects seven specific emotions from image data including anger, disgust, fear, happiness, neutrality, sadness, and surprise. This research focuses on the model’s training accuracy in a short number of epoch which the authors can develop a real-time schema that can easily fit the model and sense emotions. Furthermore, this work focuses on the mental or emotional stuff of a man or woman using the behavioral aspects. To complete the training of the CNN network model, we use the FER2013 databases, and we test the system’s success by identifying facial expressions in the real-time. ConvNet consists of four layers of convolution together with two fully connected layers. The experimental results show that the ConvNet is able to achieve 96% training accuracy which is much better than current existing models. ConvNet also achieved validation accuracy of 65% to 70% (considering different datasets used for experiments), resulting in a higher classification accuracy compared to other existing models. We also made all the materials publicly accessible for the research community at: https://***/Tanoy004/Emotion-recognition-through-CNN. © 2021, CC BY.

关键词： Emotion Recognition

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Prototype implementation of multi-hop communication scheme among smartphones based on BLE communication

Prototype implementation of multi-hop communication scheme a...

引用

Consumer Communications and Networking Conference, CCNC IEEE

作者： Toru Yoshizaki Yuki Yamada Shinya Sugiura Katsuhiro Naito Graduate School of Business Administration and Computer Science Aichi Institute of Technology 1-38-1 Higashiyamadori Chikusa Nagoya Aichi Japan Faculty of Information Science Aichi Institute of Technology Toyota Aichi Japan

ISBN: (数字)9781728138930

ISBN: (纸本)9781728138947

This paper develops a prototype chat application that employs an automated communication scheme among smart-phones based on Bluetooth Low Energy (BLE) technology. Conventional smartphone applications use a cellular network to communicate with each other even when they can communicate directly. The proposed scheme realizes a direct data transfer over long distances by designing multi-hop communication technology. As communication technology, we employ BLE that is the latest standard of Bluetooth with low-rate communication capability and low-power consumption. We demonstrate the prototype chat application based on the proposed method to confirm the feasibility of the proposed multi-hop communication.

关键词： Spread spectrum communication Smart phones Receivers Prototypes Routing Bluetooth

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Simulation of space charge transport in solid dielectric materials using transmission lines modeling method

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Journal of Advanced Dielectrics 2019年第6期9卷 63-80页

作者： Amin Shamsi Alireza Ganjovi Amirabbas Shayegani Akmal School of Electrical and Computer Engineering University of Tehran TehranIran Laser Research Department Photonics Research Institute Institute of Science and High Technology and Environmental Sciences Graduate University of Advanced TechnologyKermanIran

In this paper,a lumped RC circuit model,which is based on the Transmission Line Modeling(TLM)method,is used to describe the space charge production and displacement mechanisms in three different solid dielectric materials(LDPE,PTFE and FR4).Each dielectric material is considered as a transmission line with the capacitive and resistance *** obtained circuit equations are solved along with the continuity equations for the various charged species in the bulk of solid dielectric *** electric potential and field,density of different charged species and their recombination rates,resistive and capacitive properties of the solid dielectric material are *** addition,the effects of the variations in the applied voltage,dielectric permittivity and temperature on these physical parameters are ***,compared with LDPE and PTFE,the net charge density increment rate in FR4 is much ***,the influences of temperature on the net charge density in LDPE are not ***,at the higher applied voltages,the current density is ***,the effects of temperature variations on the recombination rates,net charge and current density in LDPE are much ***,the suitability of LDPE as solid dielectric material is proved.

关键词： Solid dielectric materials high voltage devices space charges TLM method

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Large language models in urban planning

Nature Cities

引用

Nature Cities 2025年 1-8页

作者： Xinyu Fu Chaosu Li Steven Jige Quan Tan Yigitcanlar David Wasserman Environmental Planning Program University of Waikato Hamilton New Zealand Urban Governance and Design Thrust The Hong Kong University of Science and Technology (Guangzhou) Guangzhou China Environmental Planning Institute Graduate School of Environmental Studies Seoul National University Seoul South Korea Graduate School of Environmental Studies Seoul National University Seoul South Korea City 4.0 Lab School of Architecture and Built Environment Queensland University of Technology Brisbane Queensland Australia Civic Analytics Discipline Alta Planning + Design Seattle WA USA

The advanced computational capabilities of artificial intelligence, particularly large language models such as OpenAI’s ChatGPT, offer great potential for addressing the complex developmental challenges faced by cities globally. These challenges are those that traditional urban planning methods often struggle to tackle. We explore how large language models can be leveraged to automate and support various urban planning tasks, providing nuanced computational support and advanced analytical capabilities. We highlight potential applications throughout the planning process and discuss the barriers and challenges involved. By setting a research agenda, we aim to foster the integration of artificial intelligence in urban planning, enhancing the field’s ability to create positive, inclusive and effective urban solutions.

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