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Wuhan Ligong Daxue Xuebao (Jiaotong Kexue Yu Gongcheng Ban)/Journal of Wuhan University of Technology (Transportation Science and Engineering) 2005年第2期29卷 215-218页

作者： Zhang, Jinglei Wang, Xiaoyuan Sch. of Transportation and Automobile Engineering Shandong Univ. of Technology Zibo 255049 China Sch. of Mathematics and Information Science Shandong Univ. of Technology Zibo 255049 China

Traffic incident automatic detection is one of important issues for ITS research, especially, for advanced traffic management system and advanced traveler information system research. Automatic incident detection (AID) systems use algorithms to analyze traffic data and detect incidents quickly so as to reduce their adverse effects. Since 1960s a variety of freeway incident algorithms have been developed based on traffic flow theory, pattern recognition, statistical techniques and recently using artificial intelligence and fuzzy logic. In this paper, review of these existing incident detection algorithms, and the method of improving the performance of incident detection algorithm are presented.

关键词： Data fusion detection algorithm Incident detection Traffic incidents

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Generation of Voice Signal Tone Sandhi and Melody Based on Convolutional Neural Network

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ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING 2023年第5期22卷 1–13页

作者： Jiang, Wei Li, Mengqi Shabaz, Mohammad Sharma, Ashutosh Haq, Mohd Anul Shandong Univ Sci & Technol Dept Music Qingdao 266590 Shandong Peoples R China Model Inst Engn & Technol Jammu J&K India Univ Petr & Energy Studies Sch Comp Sci Dehra Dun Uttarakhand India Majmaah Univ Dept Comp Sci Coll Comp Sci & Informat Sci Al Majmaah Saudi Arabia

There is a need to prevent the use of modulated voice signals to conduct criminal activities. Voice signal change detection based on convolutional neural networks is proposed. We use three commonly used voice processing software (Audacity, CoolEdit, and RTISI) to change tones in voice libraries. The research further raises each voice by five semitones and are recorded at different levels (+4, +5, +6, +7, and +8, respectively). Simultaneously, every voice is lowered by five halftones, represented as -4, -5, -6, -7, and -8, respectively. The convolution neural network corresponding to network b-3 is determined as the final classifier in this article through experiments. The average accuracy A1 of its three categories has reached more than 97%, the detection accuracy A2 of electronic tone sandhi speech has reached more than 97%, and the false alarm rate of the original speech is less than 1.9%. The outcomes obtained shows that the detection algorithm in this article is effective, and it has good generalization ability.

关键词： detection algorithm

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Toward Chaotic Secure Communications: An RIS Enabled M-Ary Differential Chaos Shift Keying System With Block Interleaving

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IEEE TRANSACTIONS ON COMMUNICATIONS 2023年第6期71卷 3541-3558页

作者： Cai, Xiangming Yuen, Chau Huang, Chongwen Xu, Weikai Wang, Lin Singapore Univ Technol & Design Engn Prod Dev Pillar Singapore 639798 Singapore Nanyang Technol Univ Sch Elect & Elect Engn Singapore 639798 Singapore Zhejiang Univ Coll Informat Sci & Elect Engn Hangzhou 310027 Peoples R China Zhejiang Univ Int Joint Innovat Ctr Haining 314400 Peoples R China Zhejiang Singapore Innovat & AI Joint Res Lab Commun & Networking IPCAN Hangzhou 310027 Peoples R China Zhejiang Prov Key Lab Informat Proc Commun & Netwo Hangzhou 310027 Peoples R China Xiamen Univ Dept Informat & Commun Engn Xiamen 361005 Peoples R China Minist Nat Resources MNR Key Lab Southeast Coast Marine Informat Intelligen Zhangzhou 363000 Peoples R China

Chaotic secure communication systems using chaotic waveforms as their spreading carriers can hide the transmitted information bits over a wide frequency range of chaotic waveform, which disguises the transmitted information waveform as noise. In this paper, a reconfigurable intelligent surface (RIS) enabled M-ary differential chaos shift keying with block interleaving (RIS-MDCSK-BI) system is proposed for chaotic secure communications, where an RIS is deployed at the transmitter to assist communications and a pair of block interleaving patterns are used to interleave M-ary information-bearing signals to enhance security performance. Moreover, we propose a chaotic merging sort algorithm to generate different block interleaving patterns, where these interleaving patterns are encrypted by using the non-periodic and noise-like properties of chaotic signals. To estimate information bits at the legitimate receiver, we propose a sequential detection algorithm and a joint detection algorithm. Then, theoretical bit error rate (BER) performances of the proposed RIS-MDCSK-BI system with the legitimate receiver and the eavesdropping receiver are derived. The security performance metrics, including information leakage and secrecy outage probability, are also analyzed. Monte Carlo simulations are performed to verify the superior BER performance and security performance of the proposed RIS-MDCSK-BI system compared to benchmark systems.

关键词： Chaotic secure communications reconfigurable intelligent surface M-ary differential chaos shift keying block interleaving detection algorithm

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A pre-processing technique to decrease inspection time in glass tube production lines

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IET IMAGE PROCESSING 2021年第10期15卷 2179-2191页

作者： De Vitis, Gabriele Antonio Foglia, Pierfrancesco Prete, Cosimo Antonio Univ Pisa Dipartimento Ingn Informaz Via Diotisalvi 2 I-56100 Pisa Italy

In case of glass tube for pharmaceutical applications, high-quality defect detection is made via inspection systems based on computer vision. The processing must guarantee real-time inspection and meet increasing rate and quality requirements. Defect detection in glass tubes is complicated by aspects that hamper the efficiency of state-of-the-art techniques. This paper presents a pre-processing algorithm which excludes portions of the image where defects are surely absent. The approach decreases the time for defect detection and classification phases (any detection algorithm can be applied), as they are applied only in high-probability candidate sub-image. We derive a methodology to get robust values of algorithm's parameters during production. The algorithm relies on detrended standard deviation and double threshold hysteresis, which solve issues related to the misalignment between illuminator and acquisition camera, and enable a robust detection despite rotation, vibration, and irregularities of tubes. We consider Canny, MAGDDA, and Niblack algorithms. The solution keeps the detection quality of such algorithms and reaches a 4.69x throughput gain. It represents a methodology to obtain defect detection in time-constrained environments through a software-only approach, and can be exploited in parallel/accelerated solutions and in contexts where a linear camera is utilized on both flat and uneven surfaces.

关键词： robust detection detection algorithm time constrained environments probability quality requirements high probability candidate subimage automatic optical inspection preprocessing technique image sensors Niblack algorithms glass products inspection systems production engineering computing high quality defect detection preprocessing algorithm computer vision inspection time glass tube production lines image coding detection quality quality control real-time inspection

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A General Framework for Asynchronous Communication

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IEEE COMMUNICATIONS LETTERS 2017年第2期21卷 266-269页

作者： Sundaram, R. M. Jalihal, Devendra Ramaiyan, Venkatesh IIT Madras Madras 600036 Tamil Nadu India

We study a problem of sequential frame detection in an asynchronous framework, where a single frame of length N slots is transmitted uniformly in a large interval of known size A slots. In this setup, we seek to characterize the scaling needed of N and the channel (input) parameters for asynchronous optimal frame synchronization. We note that the framework permits a natural trade-off between N and alpha, where alpha is the synchronization threshold of the channel (usually parameterized by the channel input). We present a general framework that permits this trade-off and then characterize the scaling needed of both N and alpha as a function of the asynchronism period A. Finally, we apply our results to the AWGN channel as an illustration.

关键词： Asynchronous communication frame synchronization detection algorithm

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A New Adaptive Mass Estimation Approach of Heavy Truck Based on Engine Torque Local Convex Minimum Characteristic at Low Speeds

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ENERGIES 2020年第7期13卷 1649-1649页

作者： Jung, DaeYi Choi, Gyoojae Kunsan Natl Univ Sch Mech & Automot Engn Gunsan 54150 South Korea

This paper proposes a new mass estimation for a vehicle system, utilizing the characteristics of engine torque local convex minimum, where the mass can be estimated based on the driving forces and the longitudinal accelerations only. Fundamentally, this approach generally requires no other information about an aerodynamic effect, a road grade, or a rolling friction, which is usually demanded by the existing well-known longitudinal dynamics and adaptive filter-based estimation methods. The effectiveness of the proposed approach was evaluated and validated by both TruckSim/Simulink co-simulation and actual field test data. It is found that the proposed estimation technique is more favorable for a situation where the vehicle is exposed to low-speed regions. In addition to this new mass estimation strategy, other new and current existing methods were explored and are reviewed here. Moreover, this study suggested a guideline for a hybrid-type mass estimation strategy to predict a mass by combining a new method with an existing one for every speed.

关键词： vehicle mass estimation (Extended) Kalman filter recursive least square detection algorithm vehicle longitudinal dynamics

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Analysis of Artifacts on Chipless RFID Backscatter Tag Signals for Real World Implementation

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IEEE ACCESS 2019年 7卷 66821-66831页

作者： Khadka, Grishma Bibile, Meriam Anushani Arjomandi, Larry M. Karmakar, Nemai Chandra Monash Univ Dept Elect & Comp Syst Engn Clayton Vic 3800 Australia

Chipless radio-frequency identification (RFID) has been studied as an alternative technique to conventional chipped RFID. However, chipless RFID tag backscatter signals are affected by motion and especially when they are attached to different objects. In this paper, we performed a comprehensive analysis of the backscattered chipless tag signal in two different stages. At the first stage, we performed an analysis of the backscattered signal in the nonanechoic environment when the frequency-coded tags were moving at different stepped positions. Then we continued to identify the response of signal where the chipless tag was attached to highly scattering objects. The results showed the variation in amplitude and shifting in the frequency of tag resonant when the tag was moving at different stepped positions. The variation was more prominent when the tag was attached to random objects. In order to address the issue, we conducted an experiment on orientation insensitive ground plane tag to solve the frequency shifting problem and proposed a robust detection method based on mother wavelet for the detection of tag IDs. The overall results show that the proposed technique reduces uncertainty in frequency-based chipless RFID tag signal response due to the variation in amplitude. The technique also helps in detecting the tag data bits with better resolution and has a good arrangement between time and frequency resolution for high-frequency signal components. The throughput of 90% is obtained even when the tag is attached to highly scattering objects. Finally, to validate the performance, a ground plane tag is implemented and the proposed algorithm is experimentally demonstrated.

关键词： Chipless RFID radar cross section (RCS) horn antennas backscattered signal detection algorithm continuous wavelet transforms

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Cross-Correlation-Based algorithm for Monitoring Laser Cutting With High-Power Fiber Lasers

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IEEE SENSORS JOURNAL 2018年第4期18卷 1585-1590页

作者： Schleier, Max Adelmann, Benedikt Esen, Cemal Hellmann, Ralf Univ Appl Sci Aschaffenburg Appl Laser & Photon Grp D-63741 Aschaffenburg Germany Ruhr Univ Bochum Appl Laser Technol Dept Mech Engn D-44801 Bochum Germany

We report on an innovative algorithm for an InGaAs and Si photodiode-based sensor system to detect incomplete cuts during high-power near infrared fiber laser cutting. Using such dual-photodiode-based sensor, the thermal radiation from the process zone is measured with the diode current being digitalized with a sampling rate of 20 kHz. The algorithm encompasses a normalization of the measured current, digital filtering, and cross-correlation calculation of both filtered diode signals. This sensor approach allows us to successfully detect cut interruptions in a series of more than 100 cuts in stainless steel, mild steel, and aluminum of different thicknesses with a type I and type II error of 0%. The underlying physics of the detection scheme based on the changes of the dynamic melt flow in the cut kerf from a complete cut to an incomplete cut is discussed.

关键词： detection algorithm laser cutting online monitoring

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Eye moving behaviors identification for gaze tracking interaction

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JOURNAL ON MULTIMODAL USER INTERFACES 2015年第2期9卷 89-104页

作者： Zhao, Qijie Yuan, Xinming Tu, Dawei Lu, Jianxia Shanghai Univ Sch Mechatron Engn & Automat Shanghai 200072 Peoples R China

The correct identification of eye moving behaviors is an important foundation for a gaze tracking interaction system. After analyzing the characteristics of eye moving behaviors in gaze tracking human computer interaction, a kind of eye moving behaviors classified method has been presented, in light of the fact that blinks, saccades, and fixations successively take place in certain sequences, and a blink is usually the beginning action or end action for a saccade or a fixation sequence. In addition, there are some other contributions in this paper. Firstly, a blink recognition algorithm has been proposed with eye's height-width aspect ratio and iris or eyelid edge fitting curvature. Secondly, taking the recognized blink as a starting point to calculate the mean and standard deviation of eye's moving displacements in a certain period, and then identifying the saccades and fixations in terms of the calculated parameters. At last, some experiments have been done, and the results show that the proposed method, by considering the relationship between eye behaviors, can accurately classify blinks, saccades, and fixations, especially for large-scale saccades and long time fixations. Moreover, the present also provides a new reference for designing an accessible interface to reduce the impacts on the reliability caused by the randomness of eye movements.

关键词： Eye moving behavior Gaze tracking interaction Behavior identification detection algorithm

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Double-threshold CFAR detector in presence of subspace interference for MIMO radar

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IET SIGNAL PROCESSING 2020年第2期14卷 72-80页

作者： Li, Zhihua Su, Hongtao Zhou, Shenghua Hu, Qinzhen Xidian Univ Natl Lab Radar Signal Proc Xian 710071 Shaanxi Peoples R China

In this study, a constant false alarm rate (CFAR) decision scheme is devised for frequency diversity multiple-input-multiple-output (MIMO) radar. Under the assumption that there exists not only the unstructured disturbance but also the structured interference, a double threshold detector (DT-MGLRT) based on the modified generalised likelihood ratio test (MGLRT) algorithm is proposed, of which the first stage deals with the unknown parameters and the second stage determines the final decision. It is proved that the proposed detector possesses a CFAR with respect not only to the unknown spectral properties of the unstructured disturbance but also to the structured interference distribution. Finally, some experiment results indicate that the proposed detection algorithm has 2 dB signal-to-interference-plus-noise power ratio improvement on average in detection performance at a low computation and communication cost over conventional detection algorithms.

关键词： MIMO communication maximum likelihood estimation signal detection radar detection object detection covariance matrices radar clutter MIMO radar frequency diversity multiple-input-multiple-output radar unstructured disturbance double threshold detector DT-MGLRT modified generalised likelihood ratio test algorithm stage deals unknown parameters unknown spectral properties structured interference distribution detection algorithm 2 dB signal-to-interference-plus-noise power ratio improvement conventional detection algorithms threshold CFAR detector subspace interference MIMO radar constant false alarm rate decision scheme noise figure 2 0 dB

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