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4th IEEE International Conference on Computer and Communications, ICCC 2018

作者： Wang, Zhiqiang Ma, Pingchuan Wang, Ruming Zhang, Jianyi Chi, Yaping Ma, Yanzhe Yang, Tao Anhui Province Key Laboratory of Industry Safety and Emergency Technology Hefei China Beijing Electronic Science and Technology Institute Beijing China Hainan University Haikou China Ministry of Public Security Key Lab of Information Network Security Shanghai China

ISBN: (纸本)9781538683392

As the volume of medical data mining increases, so do the need to preserve patient privacy. And the exposure of medical data may degrade the level of health care service and reduce the trust of patients. Local Differential Privacy (LDP) was proposed to solve problems in the context of local privacy, by which data collectors are hardly to get exact individual information. We present a secure medical data collection framework and apply our framework on synthetic data at different scale. Finally, we evaluate the performance of our work. Our experimental results show that both privacy and validity of medical data are aligned. © 2018 IEEE.

关键词： data acquisition

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An application of insurance mechanism in risk management for energy internet

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High technology Letters 2018年第2期24卷 196-202页

作者： Yang Yunxue Zhang Qin Zhang Libo CAS Key Laboratory of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 P. R. China College of Economics and Management Nanjing University of Aeronautics and Astronautics Nanjing 210016 P. R. China Business College Yantai Nanshan University Yantai 265713 P. R. China

As a completely new residential distribution infrastructure,energy internet facilitates transactions of equipment,energy and services. However,there is security risk under all the *** paper proposes an electricity pricing model based on insurance from the perspective of maximizing the benefits of Energy Internet service providers by using the principal-agent theory. The consumer prepays the provider insurance premiums and signs a contract. The provider sets electricity price according to the premiums and therefore provides differentiated electric services for the consumer. Loss suffered by the consumer due to the power failure is compensated by the provider according to the contract. The equivalent model is presented and a necessary condition of the optimal strategy is obtained on the basis of Pontryagin's maximum principle. At last,a numerical example is presented,which illustrates the effectiveness of the proposed model.

关键词： energy internet insurance risk management optimal control fuzzy theory

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Managing Multiple Halide-Related Defects for Efficient and Stable Inorganic Perovskite Solar Cells

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Angewandte Chemie 2023年第30期135卷

作者： Zhiteng Wang Prof. Qingwen Tian Hao Zhang Prof. Huidong Xie Yachao Du Lei Liu Xiaolong Feng Adel Najar Xiaodong Ren Prof. Shengzhong (Frank) Liu Key Laboratory of Applied Surface and Colloid Chemistry Ministry of Education Shaanxi Key Laboratory for Advanced Energy Devices Shaanxi Engineering Lab for Advanced Energy Technology School of Materials Science and Engineering Shaanxi Normal University Xi'an 710119 P. R. China Contribution: Conceptualization (lead) Data curation (lead) Formal analysis (lead) Investigation (lead) Contribution: Conceptualization (lead) Funding acquisition (lead) Project administration (lead) Supervision (lead) Validation (lead) Writing - original draft (lead) Writing - review & editing (lead) Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of Sciences Beijing 100049 P. R. China Dalian Institute of Chemical Physics Chinese Academy of Sciences Dalian 116023 P. R. China Contribution: Data curation (supporting) Formal analysis (supporting) Investigation (supporting) School of Chemistry and Chemical Engineering Xi'an University of Architecture and Technology Xi'an 710055 P. R. China Contribution: Formal analysis (supporting) Validation (supporting) Contribution: Data curation (supporting) Formal analysis (supporting) Contribution: Data curation (supporting) Formal analysis (supporting) Methodology (supporting) Resources (supporting) Department of Physics College of Science United Arab Emirates University Al Ain 15551 United Arab Emirates Contribution: Supervision (supporting) Validation (supporting) Writing - review & editing (supporting) Contribution: Data curation (supporting) Formal analysis (supporting) Methodology (supporting) Contribution: Funding acquisition (lead) Project administration (lead) Validation (lead) Writing - review & editing (lead)

Halide-related surface defects on inorganic halide perovskite not only induce charge recombination but also severely limit the long-term stability of perovskite solar cells. Herein, adopting density functional theory calculation, we verify that iodine interstitials (I i ) has a low formation energy similar to that of the iodine vacancy (V I ) and is also readily formed on the surface of all-inorganic perovskite, and it is regarded to function as an electron trap. We screen a specific 2,6-diaminopyridine (2,6-DAPy) passivator, which, with the aid of the combined effects from halogen-N pyridine and coordination bonds, not only successfully eliminates the I i and dissociative I 2 but also passivates the abundant V I . Furthermore, the two symmetric neighboring -NH 2 groups interact with adjacent halides of the octahedral cluster by forming hydrogen bonds, which further promotes the adsorption of 2,6-DAPy molecules onto the perovskite surface. Such synergetic effects can significantly passivate harmful iodine-related defects and undercoordinated Pb 2+ , prolong carrier lifetimes and facilitate the interfacial hole transfer. Consequently, these merits enhance the power-conversion efficiency (PCE) from 19.6 % to 21.8 %, the highest value for this type of solar cells, just as importantly, the 2,6-DAPy-treated CsPbI 3− x Br x films show better environmental stability.

关键词： All-Inorganic Perovskite CsPbI3−xBrx Defect Passivation Iodine-Related Defects Solar Cells

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Correction to: New theoretical ISM‑K2 Bayesian network model for evaluating vaccination effectiveness

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Journal of Ambient Intelligence and Humanized Computing 2022年第10期14卷 14383-14383页

作者： Xie, Xiaoliang Xie, Bingqi Xiong, Dan Hou, Muzhou Zuo, Jinxia Wei, Guo Chevallier, Julien School of Mathematics and Statistics Hunan University of Technology and Busin Ess Changsha China Key Laboratory of Hunan Province for Statistical Learning and Intelligent Computation Hunan University of Technology and Business Changsha China Institute of Big Data and Internet Innovation Hunan University of Technology and Business Changsha China School of Mathematics and Statistics Central South University Changsha China Department of Mathematics and Computer Science University of North Carolina at Pembroke Pembroke USA IPAG Business School (IPAG Lab) Paris France University Paris 8 (LED) Saint-Denis France

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Sdgan: Improve Speech Enhancement Quality by Information Filter

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Journal of Physics: Conference Series 2021年第1期1871卷

作者： Xiaozhou Guo Yi Liu Wenyu Mao Jixing Li Wenchang Li Guoliang Gong Huaxiang Lu Institute of Semiconductors Chinese Academy of Sciences Beijing 100083 China University of Chinese Academy of Sciences Beijing 100089 China CAS Center for Excellence in Brain Science and Intelligence Technology Chinese Academy of Sciences Beijing 200031 China Semiconductor Neural Network Intelligent Perception and Computing Technology Beijing Key Lab Beijing 100083 China

The speech denoising model based on adversarial generative network has achieved better results than the traditional machine learning model. In this paper, for the short cut connection in the generator, we discuss its influence on the information transfer between encoder and decoder, and propose SDGAN at target. SDGAN sets linear and convolution filters in the short cut connection which adaptively learn the optimal information processing. The information filter still enables the generator to solve the gradient vanishing problem, and it can also avoid information redundancy and improve expression ability. In addition, SDGAN replaces the L1 regularization term in loss function with the L2 regularization term, which not only makes the output speech of the generator closer to the clean speech, but also avoids sparsity. In the experiments, SDGAN significantly performs better than other traditional GAN in five performance metrics (such as PESQ), and the effect of convolution filter is better than that of linear filter.

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Local unitary classification for sets of generalized Bell states

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Physical Review A 2018年第2期98卷 022304-022304页

作者： Bujiao Wu Jiaqing Jiang Jialin Zhang Guojing Tian Xiaoming Sun Key Laboratory of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China University of Chinese Academy of Sciences Beijing 100049 China

In this paper, we study the local unitary (LU) classification for pairs (triples) of generalized Bell states, based on the local unitary equivalence of two sets. In detail, we first introduce some general unitary operators which give us more local unitary equivalent sets besides Clifford operators. And then we present two necessary conditions for local unitary equivalent sets which can be used to examine the local inequivalence. Following this approach, we completely classify all pairs in the d⊗d quantum system into ∏j=1n(kj+1)−1 LU-inequivalent pairs when the prime factorization of d=∏j=1npjkj. Moreover, all triples in the pα⊗pα quantum system for prime p can be partitioned into (α+3)6pα+O(αpα−1) LU-inequivalent triples; especially, when α=2 and p>2, there are exactly ⌊56p2⌋+⌊p−26+(−1)⌊p3⌋p3⌋+3 LU-inequivalent triples.

关键词： Nonlocality Quantum entanglement

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Corrigendum to “COIN: A fast packet inspection method over compressed traffic” [J. Netw. Comput. Appl. 127 (2019) 122–134]

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Journal of network and Computer Applications 2020年 153卷

作者： Xiuwen Sun Hao Li Dan Zhao Xingxing Lu Kaiyu Hou Chengchen Hu Ministry of Education Key Lab for Intelligent Network and Network Security Department of Computer Science and Technology Xi'an Jiaotong University China Xi'an University of Finance and Economics China Department of Electrical Engineering and Computer Science Northwestern University USA

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Residual networks for Light Field Image Super-Resolution

Residual Networks for Light Field Image Super-Resolution

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IEEE/CVF Conference on Computer Vision and Pattern Recognition

作者： Shuo Zhang Youfang Lin Hao Sheng Beijing Key Lab of Traffic Data Analysis and Mining School of Computer and Information Technology Beijing Jiaotong University Key Laboratory of Intelligent Passenger Service of Civil Aviation CAAC State Key Laboratory of Software Development Environment School of Computer Science and Engineering Beihang University Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University

Light field cameras are considered to have many potential applications since angular and spatial information is captured simultaneously. However, the limited spatial resolution has brought lots of difficulties in developing related applications and becomes the main bottleneck of light field cameras. In this paper, a learning-based method using residual convolutional networks is proposed to reconstruct light fields with higher spatial resolution. The view images in one light field are first grouped into different image stacks with consistent sub-pixel offsets and fed into different network branches to implicitly learn inherent corresponding relations. The residual information in different spatial directions is then calculated from each branch and further integrated to supplement high-frequency details for the view image. Finally, a flexible solution is proposed to super-resolve entire light field images with various angular resolutions. Experimental results on synthetic and real-world datasets demonstrate that the proposed method outperforms other state-of-the-art methods by a large margin in both visual and numerical evaluations. Furthermore, the proposed method shows good performances in preserving the inherent epipolar property in light field images.

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Supramolecular Engineering of Cathode Materials for Aqueous Zinc-ion Energy Storage Devices: Novel Benzothiadiazole Functionalized Two-Dimensional Olefin-Linked COFs

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Angewandte Chemie 2023年第10期135卷

作者： Dr. Haijun Peng Senhe Huang Dr. Verónica Montes-García Dr. Dawid Pakulski Dr. Haipeng Guo Dr. Fanny Richard Prof. Xiaodong Zhuang Prof. Paolo Samorì Dr. Artur Ciesielski Université de Strasbourg CNRS Institut de Science et d'Ingénierie Supramoléculaires 8 allée Gaspard Monge 67000 Strasbourg France Contribution: Data curation (lead) Investigation (lead) Writing - original draft (lead) Writing - review & editing (lead) The Soft2D Lab State Key Laboratory of Metal Matrix Composites Shanghai Key Laboratory of Electrical Insulation and Thermal Ageing School of Chemistry and Chemical Engineering Shanghai Jiao Tong University 200240 Shanghai China Centre for Advanced Technologies Adam Mickiewicz University Uniwersytetu Poznańskiego 10 61-614 Poznań Poland Adam Mickiewicz University Foundation Poznań Science and Technology Park Rubież 46 61-612 Poznań Poland

Two-dimensional covalent organic frameworks (COFs) have emerged as promising materials for energy storage applications exhibiting enhanced electrochemical performance. While most of the reported organic cathode materials for zinc-ion batteries use carbonyl groups as electrochemically-active sites, their high hydrophilicity in aqueous electrolytes represents a critical drawback. Herein, we report a novel and structurally robust olefin-linked COF-TMT-BT synthesized via the aldol condensation between 2,4,6-trimethyl-1,3,5-triazine (TMT) and 4,4′-(benzothiadiazole-4,7-diyl)dibenzaldehyde (BT), where benzothiadiazole units are explored as novel electrochemically-active groups. Our COF-TMT-BT exhibits an outstanding Zn 2+ storage capability, delivering a state-of-the-art capacity of 283.5 mAh g −1 at 0.1 A g −1 . Computational and experimental analyses reveal that the charge-storage mechanism in COF-TMT-BT electrodes is based on the supramolecularly engineered and reversible Zn 2+ coordination by the benzothiadiazole units.

关键词： Charge Storage Mechanism Covalent Organic Frameworks Energy Storage Devices Functional Porous Materials Zinc-Ion Batteries

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PGGAN: Improve Password Cover Rate Using the Controller

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Journal of Physics: Conference Series 2021年第1期1856卷

作者： Xiaozhou Guo Yi Liu Kaijun Tan Min Jin Huaxiang Lu Institute of Semiconductors Chinese Academy of Sciences Beijing 100083 China University of Chinese Academy of Sciences Beijing 100089 China CAS Center for Excellence in Brain Science and Intelligence Technology Chinese Academy of Sciences Beijing 200031 China Semiconductor Neural Network Intelligent Perception and Computing Technology Beijing Key Lab Beijing 100083 China

Password generation model based on generative adversarial network usually has the problem of high duplicate rate, which further leads to low cover rate. In this regard, we propose PGGAN model. It sets up an additional controller network which is similar to the discriminator in the aspect of structure and function. The discriminator and the controller respectively learn the measure between the distribution of generated password with the real password distribution and the uniform distribution, and then use two measures to teach generator meanwhile. By changing the activation function and loss function of the controller, different measure functions can be selected. The experimental results show that compared with GAN, our PGGAN performs better both in cover rate and duplicate rate. Moreover, Wasserstein distance usually has a better effect to the other measure in model. Specifically, PGGAN with Wasserstein distance can increase the cover rate by 3.57% and reduce the duplicate rate by 30.85% on rockyou dataset.

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