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International Conference on Cognitive Infocommunications (CogInfoCom)

作者： Robert Demeter Attila Kovari Jozsef Katona Ilona Heldal Cristina Costescu Adrian Rosan Andrea Hathazi Serge Thill Department of Automation and Information Technology Faculty of Electrical Engineering and Computer Science Transilvania University of Brasov Brasov Romania CogInfoCom Based LearnAbility Research Team Institute of Engineering University of Dunaujvaros Dunaujvaros Hungary Institute of Computer Engineering University of Dunaujvaros Dunaujvaros Hungary Department of Computing Mathematics and Physics Western Norway University of Applied Sciences Bergen Norway Special Education Department Faculty of Psychology and Educational Sciences Babes-Bolyai University Cluj-Napoca Romania Donders Centre for Cognition Donders Institute for Brain Cognition and Behaviour Radboud University Nijmegen Netherland

ISBN: (数字)9781728147932

ISBN: (纸本)9781728147949

The aim of this study is to view product traceability using graph-based simulation software, which gives us a cognitive map of a product's path. In this paper, we present a method for manufacturers to efficiently and automatically visualize all components of their products, allowing for multiple changes or fault event in the supply chain.

关键词： Conferences Cognition Education Tools Product development Informatics

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TDFI: Two-stage Deep Learning Framework for Friendship Inference via Multi-source Information

TDFI: Two-stage Deep Learning Framework for Friendship Infer...

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IEEE Annual Joint Conference: INFOCOM, IEEE Computer and Communications Societies

作者： Yi Zhao Meina Qiao Haiyang Wang Rui Zhang Dan Wang Ke Xu Qi Tan Beijing National Research Center for Information Science and Technology (BNRist) P.R. China School of Automation Science and Electrical Engineering Beihang University P.R. China Department of Computer Science University of Minnesota at Duluth USA School of Computer Science and Center for OPTIMA Northwestern Polytechnical University P.R. China Department of Computing The Hong Kong Polytechnic University Hong Kong

Due to the explosive growth of social network services, friendship inference has been widely adopted by Online Social Service Providers (OSSPs) for friend recommendation. The conventional techniques, however, have limitations in accuracy or scalability to handle such a large yet sparse multi-source data. For example, the OSSPs will be required to manually give the order in which the various information is applied. This unavoidably reduces the applicability of existing friend recommendation systems. To address this issue, we propose a Two-stage Deep learning framework for Friendship Inference (TDFI). This approach can utilize multi-source information simultaneously with low complexity. In particular, we apply an Extended Adjacency Matrix (EAM) to represent the multi-source information. We then adopt an improved Deep AutoEncoder Network (iDAEN) to extract the fused feature vector for each user. The TDFI framework also provides an improved Deep Siamese Network (iDSN) to measure user similarity from iDAEN. Finally, we evaluate the effectiveness and robustness of TDFI on three large-scale real-world datasets. It shows that TDFI can effectively handle the sparse multi-source data while providing better accuracy for friend recommendation.

关键词： Feature extraction Complexity theory Deep learning Scalability Computer science Facebook

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An amplitudes-perturbation data augmentation method in convolutional neural networks for EEG decoding

arXiv

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arXiv 2018年

作者： Zhang, Xian-Rui Lei, Meng-Ying Li, Yang Department of Automation Sciences and Electrical Engineering Beihang University Beijing China Department of Automation Sciences and Electrical Engineering Beijing Advanced Innovation Center for Big Data and Brain Computing Beijing Advanced Innovation Center for Big Date-based Precision Medicine Beihang University Beijing China

Brain-Computer Interface (BCI) system provides a pathway between humans and the outside world by analyzing brain signals which contain potential neural information. Electroencephalography (EEG) is one of most commonly used brain signals and EEG recognition is an important part of BCI system. Recently, convolutional neural networks (ConvNet) in deep learning are becoming the new cutting edge tools to tackle the problem of EEG recognition. However, training an effective deep learning model requires a big number of data, which limits the application of EEG datasets with a small number of samples. In order to solve the issue of data insufficiency in deep learning for EEG decoding, we propose a novel data augmentation method that add perturbations to amplitudes of EEG signals after transform them to frequency domain. In experiments, we explore the performance of signal recognition with the state-of-the-art models before and after data augmentation on BCI Competition IV dataset 2a and our local dataset. The results show that our data augmentation technique can improve the accuracy of EEG recognition effectively. Copyright © 2018, The Authors. All rights reserved.

关键词： Electroencephalography

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DoS Attack Power Allocation against Remote State Estimation via a Block Fading Channel

DoS Attack Power Allocation against Remote State Estimation ...

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第37届中国控制会议

作者： Heng Zhang Yanzheng Zhu Zhaojian Li Lidong He Wei Xing Zheng School of Science Huaihai Institute of Technology School of Computing Engineering and Math Western Sydney University Department of Mechanical Engineering Michigan State University School of Automation Nanjing University of Science and Technology

This paper studies the Denial-of-Service(DoS)attack power allocation issue, which aims to aggravate the quality of remote state estimation and save the expenditure of attack power concurrently. Different from the previous literature based on the assumption of time-invariant channel states,we consider the scenario that the observations are transmitted through a standard block fading communication channel. From viewpoint of the DoS attacker, we construct an optimization problem considering jointly the average estimation error and the attack power consumption. Then the framework of Markov decision process is employed to manifest the existence of optimal attack allocation strategy. Since the closed-form of the optimal attack strategy cannot be expressed directly, we restrain it to a specific attack policy to present the unclear part in the solution,and then provide a suboptimal attack power strategy. Finally,a simulation example is presented to show the effectiveness of our proposed attack strategy.

关键词： Remote State Estimation Denial-of-Service Power Allocation Fading Channel

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The Examination Task of Source-code Debugging Using GP3 Eye Tracker

The Examination Task of Source-code Debugging Using GP3 Eye ...

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International Conference on Cognitive Infocommunications (CogInfoCom)

作者： Jozsef Katona Attila Kovari Cristina Costescu Adrian Rosan Andrea Hathazi Ilona Heldal Carsten Helgesen Serge Thill Robert Demeter CogInfoCom Based LearnAbility Research Team Institute of Computer Engineering University of Dunaujvaros Dunaujvaros Hungary CogInfoCom Based LearnAbility Research Team Institute of Engineering University of Dunaujvaros Dunaujvaros Hungary Special Education Department Babes- Bolyai University Cluj-Napoca Romania Department of Computing Mathematics and Physics Western Norway University of Applied Sciences Bergen Norway Donders Centre for Cognition Donders Institute for Brain Cognition and Behaviour Radboud University Nijmegen Netherland Department of Automation and Information Technology Transilvania University of Brasov Brasov Romania

ISBN: (数字)9781728147932

ISBN: (纸本)9781728147949

Eye-tracking is a widely used method to examine the hidden cognitive processes. In this paper a program source code debugging process is examined by eye-tracking method. A computer based analysis was elaborated to test the debug process and record the main parameters of eye movement. During the test, two typical groups were established, in case of first group, many minor changes and frequent translation and running, while for the second one a more detailed interpretation and less translation and running were specific. In the case of both groups' the task solution's features were evaluated. According to the results the efficiency and solution time as well as the attention map were different for the two groups.

关键词： Testing Task analysis Debugging Tracking Cognition Programming Education

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Emotion recognition in typical and atypical development – a technology-based paradigm

Emotion recognition in typical and atypical development – a...

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International Conference on Cognitive Infocommunications (CogInfoCom)

作者： Cristina Costescu Adrian Rosan Nagy Brigitta Andrea Hathazi Attila Kovari Jozsef Katona Ilona Heldal Carsten Helgesen Serge Thill Robert Demeter Special Education Department Babes-Bolyai University Cluj-Napoca Romania CogInfoCom Based LearnAbility Research Team Institute of Computer Engineering University of Dunaujvaros Dunaujvaros Hungary CogInfoCom Based LearnAbility Research Team Institute of Engineering University of Dunaujvaros Dunaujvaros Hungary Department of Computing Mathematics and Physics Western Norway University of Applied Sciences Bergen Norway Donders Centre for Cognition Donders Institute for Brain Cognition and Behaviour Radboud University Nijmegen Netherland Department of Automation and Information Technology Transilvania University of Brasov Brasov Romania

ISBN: (数字)9781728147932

ISBN: (纸本)9781728147949

Recognition of facial expressions is a fundamental ability for developing social interaction in life. Previous studies have shown that there is a developmental course of how emotion recognition is developed and may be dependent of the way in which is measured. Children with autism spectrum disorder (ASD) have difficulties in identifying emotions and other cognitive abilities. Our study aims to investigate the development of facial recognition skills in individuals with ASD and typically developing children using cognitive infocommunication methodology. We have tested 51 children aged between 12 and 14 years, out of which 11 children with ASD. The results show that children with ASD process emotions in a different way compared to typically developing children and that the performance is dependent on the type of measurement.

关键词： Emotion recognition Conferences Face recognition Psychology Cognition Autism Aging

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Towards real-time eyeblink detection in the wild: Dataset, theory and practices

arXiv

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arXiv 2019年

作者： Hu, Guilei Xiao, Yang Cao, Zhiguo Meng, Lubin Fang, Zhiwen Zhou, Joey Tianyi Yuan, Junsong National Key Laboratory of Science and Technology on Multi-Spectral Information Processing School of Artificial Intelligence and Automation Huazhong University of Science and Technology China Guangdong Provincial Key Laboratory of Medical Image Processing School of Biomedical Engineering Southern Medical University China School of Energy and Mechanicalelectronic Engineering Hunan University of Humanities Science and Technology China Institute of High Performance Computing A∗STAR Singapore Computer Science and Engineering Department of University at Buffalo State University of New York United States

Effective and real-time eyeblink detection is of widerange applications, such as deception detection, drive fatigue detection, face anti-spoofing. Despite previous efforts, most of existing focus on addressing the eyeblink detection problem under constrained indoor conditions with relative consistent subject and environment setup. Nevertheless, towards practical applications, eyeblink detection in the wild is highly preferred, and of greater challenges. In this paper, we shed the light to this research topic. A labelled eyeblink in the wild dataset (i.e., HUST-LEBW) of 673 eyeblink video samples (i.e., 381 positives, and 292 negatives) is first established. These samples are captured from the unconstrained movies, with the dramatic variation on face attribute, head pose, illumination condition, imaging configuration, etc. Then, we formulate eyeblink detection task as a binary spatial-temporal pattern recognition problem. After locating and tracking human eyes using SeetaFace engine and KCF (Kernelized Correlation Filters) tracker respectively, a modified LSTM model able to capture the multi-scale temporal information is proposed to verify eyeblink. A feature extraction approach that reveals the appearance and motion characteristics simultaneously is also proposed. The experiments on HUSTLEBW reveal the superiority and efficiency of our approach. The comparisons with the existing state-of-the-art methods validate the advantages of our manner for eyeblink detection in the wild. Copyright © 2019, The Authors. All rights reserved.

关键词： Long short-term memory

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Threat Analysis of Natural Gas Control System Based on Physical Process Constraints

Threat Analysis of Natural Gas Control System Based on Physi...

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Chinese automation Congress (CAC)

作者： Yangyang Geng Wenwen Liu Yang Liu Qiang Wei Ke Liu Department of Cyberspace Security State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China Department of Research and Development Center Beijing sifang automation co.ltd Beijing China

Natural gas is one of the essential energy sources for daily life. The increased reliance on energy makes control systems attractive targets for attackers. This paper explains how the control network works and describes the negative influence of attacking physical process. The paper proposes denial-of-service (DoS) attacks model and integrity attacks for the control system. In addition, our work focus on analyzing triethylene glycol (TEG) dehydration process flow for discovering the influencing factors, operational constraints and safety constraints in the dehydration process. Then, we evaluate physical and economic influences for DoS attacks and integrity attacks on TEG dehydration process in our physical testbed. The consequence shows that these kinds of attacks scenarios will drive the plant into an unsafe state. Finally, we propose an effective mechanism to defense DoS attacks and integrity attacks on TEG dehydration process.

关键词： Process control Sensors Natural gas Integrated circuits Actuators Production

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A Study of Capsule Endoscopy Orientation Estimation Using Received Signal Strength

A Study of Capsule Endoscopy Orientation Estimation Using Re...

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International Symposium on Personal, Indoor, and Mobile Radio Communications

作者： Katjana Krhac Kamran Sayrafian Mehdi Alasti Kamya Yekeh Yazdandoost Dina Simunic Faculty of Electrical Engineering and Computing University ofZagreb Croatia Information Technology Laboratory National Institute of Standards & Technology USA AdGen Telecom Group USA Department of Electrical Engineering and Automation Aalto University Finland

ISBN: (纸本)9781538660102

Comprehensive study of wireless communication for ingestible electronics is a very challenging task. To initiate the study on wireless capsule endoscopy, an innovative immersive platform containing an enhanced 3D human body model has been developed. This platform allows for flexible placement of a capsule inside the gastrointestinal (GI) tract and multiple receivers around the abdomen area. It is shown that any directionality (or equivalently null) in the antenna radiation pattern can be exploited to sense changes in the orientation of the capsule through observation of the S21 vector at a set of on-body receivers. Two methodologies i.e. complex cross-correlation and Minkowski distance were used to assess capsule orientation estimation with respect to a reference position. The study was performed within the Ultra-Wide Band frequency range as this technology is considered to be an attractive candidate for the next generation of wireless capsule endoscopy.

关键词： Wireless Capsule Endoscopy Orientation Estimation Ultra-Wide Band Correlation Coefficient

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Modelling of Cross Saturation Effect in Interior Permanent Magnet Synchronous Machines Using Magnetic Equivalent Circuits

Modelling of Cross Saturation Effect in Interior Permanent M...

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International Conference on Electrical Machines, ICEM

作者： D. Vuljaj Z. Hanić A. Hanić D. Žarko RIMAC AUTOMOBILI Sveta Nedelja Croatia University of Zagreb Faculty of Electrical Engineering and Computing Department of Electric Machines Drives and Automation Zagreb Croatia Geology and Petroleum Engineering University of Zagreb Faculty of Mining Croatia

This paper presents a method for calculation of flux linkages in the direct and quadrature axes of interior permanent magnet synchronous machines with a single U shaped barrier. The method is based on the magnetic equivalent circuit. For obtaining the correct results, it is essential to model the cross-saturation effect, especially for q axis current excitation due to magnetomotive force of the permanent magnets. The proposed method is fast and accurate. The paper describes modeling techniques and provides results as well as the comparisons with finite element method.

关键词： Saturation magnetization Electron tubes Magnetic circuits Magnetic flux Permanent magnets Integrated circuit modeling Equivalent circuits

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