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Proceedings of the ACM on Measurement and Analysis of Computing Systems

作者： Honghao, W.E.I. Kang, Xiaohan Wang, Weina Ying, Lei Arizona State University TempeAZ85287 United States University of Illinois at Urbana-Champaign Urbana Illinois61820 United States Carnegie Mellon University PittsburghPA15213 United States

This paper combines data-driven and model-driven methods for real-time misinformation detection. Our algorithm, named QuickStop, is an optimal stopping algorithm based on a probabilistic information spreading model obtained from labeled data. The algorithm consists of an offline machine learning algorithm for learning the probabilistic information spreading model and an online optimal stopping algorithm to detect misinformation. The online detection algorithm has both low computational and memory complexities. Our numerical evaluations with a real-world dataset show that QuickStop outperforms existing misinformation detection algorithms in terms of both accuracy and detection time (number of observations needed for detection). Our evaluations with synthetic data further show that QuickStop is robust to (offline) learning errors. © 2019 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Learning algorithms Machine learning Signal detection Social networking (online) detection algorithm Fake news Memory complexity Model driven method On line detection Optimal stopping Probabilistic information Quickest detection

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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

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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Detecting and Recovering Integer Data Manipulated by Multiplication With a Nonintegral Real Number and a Rounding Operation

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IEEE ACCESS 2021年 9卷 57149-57164页

作者： Park, Taejung Song, Hyunjoo Lee, Sang June Duksung Womens Univ Dept Cyber Secur IT Media Seoul 01369 South Korea Soongsil Univ Sch Comp Sci & Engn Seoul 07027 South Korea Kyung Hee Univ Dept Math Seoul 02447 South Korea

This paper presents a method for detecting and restoring integer datasets that have been manipulated by operations involving nonintegral real-number multiplication and rounding. As we discuss in the paper, detecting and restoring such manipulated integer datasets is not straightforward, nor are there any known solutions. We introduce the manipulation process, whichwas motivated by an actual case of fraud, and survey several areas of literature dealing with the possibility that manipulation may have happened or might occur. From our mathematical analysis of the manipulation process, we can prove that the nonintegral real number (alpha) used in the multiplication exists not as a single real number but as an interval containing infinitely many real numbers, any of which could have been used to produce the same manipulation result. Based on these analytic findings, we provide an algorithm that can detect and restore manipulated integer datasets. To validate our algorithm, we applied it to 40,000 test datasets that were randomly generated using controllable parameters that matched the real fraud case. Our results indicated that the algorithm detected and perfectly restored all datasets for which the value of the nonintegral real number was at least 16 (alpha >= 16) and the number of data entries was at least 40 (n >= 40).

关键词： Data fraud detection algorithm integer data manipulation interval operations

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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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Data acquisition and processing at ocean bottom for a Tsunami warning system

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MEASUREMENT 2014年第1期47卷 475-482页

作者： Sreelal, S. Jose, Smitha Varghese, Bibin Suma, M. N. Sumathi, R. Lakshminarayana, M. Nayak, M. M. Indian Space Res Org Avion Ent Trivandrum Kerala India ISRO LPSC Bangalore Karnataka India Indian Inst Sci CeNSE Bangalore 560012 Karnataka India

The design and development of a Bottom Pressure Recorder for a Tsunami Early Warning System is described here. The special requirements that it should satisfy for the specific application of deployment at ocean bed and pressure monitoring of the water column above are dealt with. A high-resolution data digitization and low circuit power consumption are typical ones. The implementation details of the data sensing and acquisition part to meet these are also brought out. The data processing part typically encompasses a Tsunami detection algorithm that should detect an event of significance in the background of a variety of periodic and aperiodic noise signals. Such an algorithm and its simulation are presented. Further, the results of sea trials carried out on the system off the Chennai coast are presented. The high quality and fidelity of the data prove that the system design is robust despite its low cost and with suitable augmentations, is ready for a full-fledged deployment at ocean bed. (C) 2013 Elsevier Ltd. All rights reserved.

关键词： Bottom Pressure Recorder Tsunami Early Warning System Data acquisition Data processing 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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An efficient algorithm and tool for detecting dangerous website vulnerabilities

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INTERNATIONAL JOURNAL OF WEB AND GRID SERVICES 2020年第1期16卷 81-104页

作者： Long Hoang Viet Tuan Tong Anh Taniar, David Can Nguyen Van Hue Hoang Minh Son Nguyen Thi Kim Peoples Police Univ Technol & Logist Bac Ninh Vietnam Monash Univ Melbourne Vic Australia Minist Publ Secur Dept Publ Secur Sci Strategy & Hist Hanoi Vietnam Ton Duc Thang Univ Inst Computat Sci Div Computat Math & Engn Ho Chi Minh City Vietnam Ton Duc Thang Univ Fac Math & Stat Ho Chi Minh City Vietnam

Web applications are progressively developing and applied in most aspects of life. However, there exist a variety of dangerous website security vulnerabilities such as SQL injection and cross-site scripting. This creates the opportunity for hackers to exploit and attack websites for commercial or political purposes or fame. Some research and commercial software have been developed for scanning and detecting those vulnerabilities. In this paper, we present an efficient algorithmic study and tool to detect web security vulnerabilities. Experimental results show that the new method is capable of detecting vulnerabilities with high accuracy. Compared to popular commercial software on the market, our tool has faster performance and can detect a number of less common vulnerabilities such as shell injection, or file inclusion.

关键词： web security vulnerabilities SQL injection cross-site scripting detection algorithm

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Optimal current distribution control for parallel electrolytic baths

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COMPUTERS & CHEMICAL ENGINEERING 2008年第1-2期32卷 186-194页

作者： Kugemoto, Hidekazu Ozaki, Keita Kutsuwa, Yoshinori Hashimoto, Yoshihiro Nagoya Univ Technol Dept Informat Sci Nagoya Aichi 4668555 Japan Sumitomo Chem Co Ltd Niihama 7928521 Japan

A simple optimal balance control scheme for electrolysation plants is proposed. It can be realized through the use of a commercially available model predictive control (MPC) package. In most cases, much property data or information regarding disturbances, such as the deterioration of electrodes and ion exchange membranes, is necessary in order to calculate the optimal operating conditions for energy conservation. However, the proposed controller can achieve the optimal conditions without them. In this paper, it is proved that the resultant converged operating conditions of the proposed controller are identical to the actual optimal condition. (C) 2007 Elsevier Ltd. All rights reserved.

关键词： multi-loop control distribution control process control detection algorithm saturation control

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