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18th CCF Conference on Computer Supported Cooperative Work and Social computing, ChineseCSCW 2023

作者： Dong, Rixin Liu, Hanlin Guo, Xu Zhou, Jiantao College of Computer Science Inner Mongolia University Hohhot China National and Local Joint Engineering Research Center of Intelligent Information Processing Technology for Mongolia Hohhot China Engineering Research Center of Ecological Big Data Ministry of Education Hohhot China Inner Mongolia Engineering Laboratory for Cloud Computing and Service Software Hohhot China Inner Mongolia Key Laboratory of Social Computing and Data Processing Hohhot China Inner Mongolia Key Laboratory of Discipline Inspection and Supervision Big Data Hohhot China Inner Mongolia Engineering Laboratory for Big Data Analysis Technology Hohhot China

ISBN: (纸本)9789819996360

As medical insurance continues to grow in size, the losses caused by medical insurance fraud cannot be underestimated. Current data mining and predictive techniques have been applied to analyze and explore the health insurance fraud population. However, previous studies only provide summary results and do not show the details of comparative analysis during the visit, resulting in the inability of auditors to quickly identify anomalous behavior. In this paper, we propose a visual analytics system for interactive medical insurance fraud detection to support the exploration and interpretation of different access processes. We propose a weighted MinDL to improve the accuracy of visit pattern classification in the time-series modeling process, and design a data analysis model and visual analysis view based on medical insurance fraud characteristics to reveal and explore the characteristics of medical insurance fraud groups. We collaborate with related organizations to design and implement an interactive visualization for medical insurance fraud group detection using real Medicare data and expert interviews The system is effective and practical in detecting and analyzing medical insurance fraud syndicates. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Health insurance

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A Note on the Conditional Fault-Tolerant Strong Menger Edge Connectivity of Regular Graphs∗

SSRN

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SSRN 2023年

作者： Li, Pingshan Xu, Min Cheng, Eddie Key Laboratory of Intelligent Computing & Information Processing Ministry of Education School of Mathematics and Computational Science Xiangtan University Hunan Xiangtan411105 China School of Mathematical Sciences Beijing Normal University Laboratory of Mathematics and Complex Systems Ministry of Education Beijing100875 China Department of Mathematics and Statistics Oakland University RochesterMI48309 United States

A graph G is said to be strongly Menger edge-connected (SM-λ for short) if every two of its vertices u,v are connected by min{dG(u),dG(v)}) edge-disjoint paths, where dG(u) is the degree of u. The maximum conditional edge-fault-tolerant with respect to the SM-λ property of G, denoted by smrλ(G), is the maximum integer m such that G − F remains SM-λ for every edge set F with |F| ≤ m and δ(G−F) ≥ r. So far, most of the exact values of smrλ(G) are for the case when r ≤ 2 for special class of graphs. In this paper, we give a sufficient condition to characterize smrλ(G) for general r on regular graphs. As an application, we determine the exact value of smλ2 r −1(AQn) for 1 ≤ r ≤ n − 2 where AQn is the n-dimensional augmented cube. © 2023, The Authors. All rights reserved.

关键词： Graphic methods

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Study of Novel Sparse Array Design Based on the Maximum Inter-Element Spacing Criterion

arXiv

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arXiv 2022年

作者： Shi, Wanlu Li, Yingsong de Lamare, Rodrigo C. The College of Information and Communication Engineering Harbin Engineering University Harbin150001 China The Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Anhui Hefei China G¨¢vea Rio de Janeiro Brazil The University of York United Kingdom

A novel sparse array (SA) structure is proposed based on the maximum inter-element spacing (IES) constraint (MISC) criterion. Compared with the traditional MISC array, the proposed SA configurations, termed as improved MISC (IMISC) has significantly increased uniform degrees of freedom (uDOF) and reduced mutual coupling. In particular, the IMISC arrays are composed of six uniform linear arrays (ULAs), which can be determined by an IES set. The IES set is constrained by two parameters, namely the maximum IES and the number of sensors. The uDOF of the IMISC arrays is derived and the weight function of the IMISC arrays is analyzed as well. The proposed IMISC arrays have a great advantage in terms of uDOF against the existing SAs, while their mutual coupling remains at a low level. Simulations are carried out to demonstrate the advantages of the IMISC arrays. Copyright © 2022, The Authors. All rights reserved.

关键词： Degrees of freedom (mechanics)

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An Uncovered Neurons Information-Based Fuzzing Method for DNN

An Uncovered Neurons Information-Based Fuzzing Method for DN...

引用

International Conference on Computer Supported Cooperative Work in Design

作者： Kecheng Tang Jian-Tao Zhou Xu Guo College of Computer Science Inner Mongolia University Hohhot China National & Local Joint Engineering Research Center of Intelligent Information Processing Technology for Mongolian Hohhot China Engineering Research Center of Ecological Big Data Ministry of Education Hohhot China Inner Mongolia Engineering Laboratory for Cloud Computing and Service Software Hohhot China Inner Mongolia Key Laboratory of Social Computing and Data Processing Hohhot China Inner Mongolia Key Laboratory of Discipline Inspection and Supervision Big Data Hohhot China Inner Mongolia Engineering Laboratory for Big Data Analysis Technology Hohhot China

ISBN: (数字)9798350349184

ISBN: (纸本)9798350349191

Fuzzing is increasingly being utilized as a method to test the reliability of Deep Learning (DL) systems. In order to detect more errors in DL systems, exploring the internal logic of more DNNs has become the main objective of fuzzing. Despite advancements in the seed selection aspect of fuzzing, considerable opportunities still exist for improving testing efficiency. Current research has issues with the repeated consideration of neurons in the model that will be covered in the future by other seeds, leading to redundant seeds and lower testing efficiency. Additionally, there is a lack of a method to measure the potential of seeds to increase coverage, making it difficult to select the most worthy seeds for mutation in each iteration. We propose an uncovered neurons information based (UNIB) fuzzing method for DNN. UNIB uses clustering methods to organize the seed queue based on initial seed data, aiming to enhance the coverage rate improved in each iteration. It also integrates coverage information from the testing phase to identify the seeds with the greatest potential. The experimental results show that UNIB achieved a higher NC than the second-best method by 1.1% and 3% in LetNet-4 and LetNet-5, respectively. UNIB consistently required the fewest number of iterations to reach the same NC as other methods. For both LetNet-4 and LetNet-5, the adversarial test case sets generated by UNIB exhibited the highest diversity.

关键词： Deep learning Federated learning Current measurement Neurons Neural networks Fuzzing Software

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Design of Ultra-Wideband Terahertz Wavelength Division Multiplexer Based on Inverse Design Algorithm

Design of Ultra-Wideband Terahertz Wavelength Division Multi...

引用

International Applied Computational Electromagnetics Society Symposium (ACES)

作者： Zhicheng Xiao Kaihong Song Ming Fang Anhui Province Key Laboratory of Target Recognition and Feature Extraction Anhui University Anhui China Information Materials and Intelligent Sensing Laboratory of Anhui Province Anhui University Hefei Anhui China Anhui Province Key Laboratory of Target Recognition and Feature Extraction Luan Anhui China Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei China State Key Laboratory of Millimeter Waves Southeast University Nanjing China

Integrated photonic gadgets play a key function in lots of fields. The process of designing silicon optical devices mostly relies on experience to manually adjust the subtle parameters, which is laborious and ineffective. The proposed inverse design algorithms can simplify the design process of silicon optical devices, improve the design efficiency, and realize multifunctional compact devices. In this paper, two inverse design based methods are proposed to design terahertz band wavelength division multiplexer(WDM). One is based on topology optimization to design a 4-channel ultra-wideband WDM and the other employs a direct binary search technique to create a 3-channel ultra-wideband terahertz WDM, both of which have high transmission, low interference and high integration. Multifunctional photonics devices are predicted to be increasingly used in modern photonic integrated circuits due to these advantages.

关键词： Performance evaluation Photonic integrated circuits Wavelength division multiplexing Prediction algorithms Silicon Topology Optical devices

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Periodicity Analysis of the Logistic Map over Ring Z3n

arXiv

引用

arXiv 2023年

作者： Lu, Xiaoxiong Xie, Eric Yong Li, Chengqing School of Mathematics and Computational Science Xiangtan University Hunan Xiangtan411105 China School of Computer Science Xiangtan University Hunan Xiangtan411105 China Key Laboratory of Intelligent Computing & Information Processing of Ministry of Education Xiangtan University Hunan Xiangtan411105 China

Periodicity analysis of sequences generated by a deterministic system is a long-standing challenge in both theoretical research and engineering applications. To overcome the inevitable degradation of the Logistic map on a finite-precision circuit, its numerical domain is commonly converted from a real number field to a ring or a finite field. This paper studies the period of sequences generated by iterating the Logistic map over ring Z3n from the perspective of its associate functional network, where every number in the ring is considered as a node, and the existing mapping relation between any two nodes is regarded as a directed edge. The complete explicit form of the period of the sequences starting from any initial value is given theoretically and verified experimentally. Moreover, conditions on the control parameter and initial value are derived, ensuring the corresponding sequences to achieve the maximum period over the ring. The results can be used as ground truth for dynamical analysis and cryptographical applications of the Logistic map over various *** Codes 65P20 Copyright © 2023, The Authors. All rights reserved.

关键词： Mapping

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Novel Sparse Array Design Based on the Maximum Inter-Element Spacing Criterion

TechRxiv

引用

TechRxiv 2022年

作者： Shi, Wanlu Li, Yingsong de Lamare, Rodrigo C. College of Information and Communication Engineering Harbin Engineering University Harbin150001 China The Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Anhui Hefei China G¨¢vea Rio de Janeiro Brazil The University of York United Kingdom

关键词： Degrees of freedom (mechanics)

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Emotion Recognition of Virtual Reality Scenes Under Olfactory Stimulation: An ECG Study

SSRN

引用

SSRN 2023年

作者： Liu, Wanqing Zhong, Xinyue Feng, Weibin Xie, Jialan Luo, Yutong Guangyuan, Liu College of Electronic and Information Engineering Southwest University Chongqing400715 China Institute of Affective Computing and Intelligent Information Processing Southwest University Chongqing400715 China Key Laboratory of Cognition and Personality Ministry of Education Faculty of Psychology Southwest University Chongqing400715 China

Virtual Reality (VR) technology enhanced by olfactory stimulation has introduced novel dimensions to human-computer interaction (HCI). While there have been studies utilizing electrocardiogram (ECG) signals to explore the impact of olfaction on the emotional experiences of traditional multimedia users, little research has delved into the influence of heightened olfactory stimulation on emotion recognition within virtual reality scenarios. To explore this issue in depth, we first initiated an olfactory stimulation experiment within a VR environment, collecting ECG data from 65 participants as they interacted with VR scenes and olfactory-enhanced virtual reality (OVR) scenes, each characterized by varying emotional valence and levels of emotional arousal. Subsequently, we extracted time-domain, frequency-domain, and nonlinear features from the ECG data. Finally, we employed three widely used machine learning classification models, namely, light gradient boosting machine, SVM, and adaptive enhancement algorithm, to discern the emotional valence and arousal levels in OVR and VR states, respectively. The results indicate that the classification recognition rates of all three classifiers are significantly higher (> 4%) within the OVR environment than in the VR context, both in terms of valence and arousal dimensions. The results are consistent with the analysis and comparison of behavioral data. This finding underscores the capacity of ECG data to effectively capture distinctions in emotional responses between OVR and VR experiences and highlights the contributory role of olfactory enhancement in VR-based emotion recognition. Our discoveries will contribute to the advancement of OVR emotion recognition research and offer fresh insights for enhancing the overall HCI emotional experience. © 2023, The Authors. All rights reserved.

关键词： Electrocardiograms

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Denoiser-Guided Image Deconvolution with Arbitrary Boundaries and Incomplete Observations

SSRN

引用

SSRN 2023年

作者： He, Liangtian Gao, Shaobing Deng, Liang-Jian Wang, Yilun Wang, Chao Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education School of Mathematical Sciences Anhui University Hefei230601 China College of Computer Science Sichuan University Chengdu610065 China Chengdu611731 China American Family Insurance ChicagoIL60654 United States College of Mathematics Physics and Information Zhejiang Ocean University Zhoushan316022 China

Non-blind image deconvolution (NBID) has been a significant and long-standing research topic in the field of imaging sciences. While enduring efforts have been made over the past decades, they are extensively focusing on the scenario where the blur process is artificially assumed, e.g., typically under periodic boundary condition, as the involved matrix inversion can be efficiently tackled using the fast Fourier transforms (FFTs). However, despite its popularity, these boundary conditions are not always realistic assumptions and can lead to severe artifacts in the recovered image. Therefore, image deconvolution with arbitrary boundaries remains as a fundamental problem to be investigated. In this paper, we propose a principled framework with the aid of Plug-and-Play (PnP) scheme to address NBID in a more realistic scenario of unknown boundary. Specifically, the local and nonlocal denoiser priors with implicit optimization objectives are incorporated into a unified model, and the degradation operator is formulated as a composition of a convolution and a spatial mask. Two kinds of experiments: deconvolution, deconvolution with inpainting, all with unknown boundaries are tested. Both quantitative and qualitative evaluations demonstrate that the proposed denoiser-guided PnP framework is highly flexible and effective to cope with the general image deconvolution tasks. © 2023, The Authors. All rights reserved.

关键词： Fast Fourier transforms

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CRSOT: Cross-Resolution Object Tracking using Unaligned Frame and Event Cameras

arXiv

引用

arXiv 2024年

作者： Zhu, Yabin Wang, Xiao Li, Chenglong Jiang, Bo Zhu, Lin Huang, Zhixiang Tian, Yonghong Tang, Jin Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education Anhui University China School of Computer Science and Technology Anhui University China School of Artificial Intelligence Anhui University China Beijing Institute of Technology Beijing China School of Electronic and Information Engineering Anhui University China Peng Cheng Laboratory Shenzhen China School of Computer Science Peking University Beijing China School of Electronic and Computer Engineering Peking University Shenzhen China

Existing datasets for RGB-DVS tracking are collected with DVS346 camera and their resolution (346 × 260) is low for practical applications. Actually, only visible cameras are deployed in many practical systems, and the newly designed neuromorphic cameras may have different resolutions. The latest neuromorphic sensors can output high-definition event streams, but it is very difficult to achieve strict alignment between events and frames on both spatial and temporal views. Therefore, how to achieve accurate tracking with unaligned neuromorphic and visible sensors is a valuable but unresearched problem. In this work, we formally propose the task of object tracking using unaligned neuromorphic and visible cameras. We build the first unaligned frame-event dataset CRSOT collected with a specially built data acquisition system, which contains 1,030 high-definition RGB-Event video pairs, 304,974 video frames. In addition, we propose a novel unaligned object tracking framework that can realize robust tracking even using the loosely aligned RGB-Event data. Specifically, we extract the template and search regions of RGB and Event data and feed them into a unified ViT backbone for feature embedding. Then, we propose uncertainty perception modules to encode the RGB and Event features, respectively, then, we propose a modality uncertainty fusion module to aggregate the two modalities. These three branches are jointly optimized in the training phase. Extensive experiments demonstrate that our tracker can collaborate the dual modalities for high-performance track- Copyright © 2024, The Authors. All rights reserved.

关键词： Cameras

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