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Video adaptive watermark embedding and detection algorithm based on phase function equation

APPLIED MATHEMATICS AND NONLINEAR SCIENCES 2022年第1期8卷 1445-1454页

作者： Chao, Yan Wang, Hao Liu, Shuying Shorman, Samer Fuyang Normal Univ Sch Comp & Informat Engn Fuyang 236037 Anhui Peoples R China Appl Sci Univ Coll Arts & Sci Eker Bahrain

In order to improve the video watermark embedding strength and balance the transparency of the watermark system, this paper proposes a combination of all phase Biorthogonal Transform and watermark embedding to complete the experiment. Firstly, the all phase biorthogonal transform is described. Referring to the construction process of APBT, combined with APDF and DST, a new all phase biorthogonal transform, all phase discrete sinusoidal biorthogonal transform (APDSBT), is proposed. This paper makes full use of MPEG-2 compression format to embed watermark directly in DCT domain. The low-frequency coefficients in the DCT block of the brightness space of I frame are selected as the watermark embedding space. The brightness component of each image block is transformed by two-dimensional DCT in the unit of 8x8 image blocks. By introducing the idea of energy receiver into the detection of digital watermark, the following correlation detector can be obtained. Implemented with MATIAB and VC + +. In the experiment, the foreman video test sequence is used as the watermark carrier, and the copyright logo image designed by ourselves is used as the watermark image to test the video watermarking system. The results show that when the coding rate is 3Mvps, the accuracy of each plane is 100%, 98.48%, 98.12% and 96.27% respectively. When the coding rate is 2.6Mvps, the accuracy of each plane is 100%, 96.38%, 94.87% and 95.21% respectively. This algorithm selects the frame of video to embed watermark. On the premise of ensuring video quality, this algorithm is robust to common video watermark attacks (MPEG compression, frame loss, frame clipping and frame rearrangement).

关键词： Phase function Video Watermark embedding detection algorithm Coding rate

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Defect detection algorithm in Steel Billets Using Morphological Top-Hat filter

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IFAC Proceedings Volumes 2009年第23期42卷 209-212页

作者： Dongwook Lee Young-il Kang Changhyun Park Sangchul Won Pohang University of Science and Technology Pohang 790-784 Korea Research Department of Measurement and Control Pohang Iron and Steel Company Korea

Automatic defect detection is of great significance in steel manufacturing industry. In this paper, we present a new detection algorithm for defects of scale-covered steel billets. Features of surface images such as brightness and textures are non-uniform because the billet surface is partially covered with scale. In order to discriminate between defects and pseudo defects due to scales and to improve the accuracy of defect detection, a new detection method based on morphological top-hat filter is proposed. Experimental results conducted on billets surface image from actual steel production line show that the proposed algorithm is capable of detecting defects on billet surface.

关键词： detection algorithm steel industry quality control

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Zero-Velocity detection-An algorithm Evaluation

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IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING 2010年第11期57卷 2657-2666页

作者： Skog, Isaac Handel, Peter Nilsson, John-Olof Rantakokko, Jouni Royal Inst Technol ACCESS Linnaeus Ctr Signal Proc Lab SE-10044 Stockholm Sweden Swedish Def Res Agcy Dept Commun Syst SE-16490 Linkoping Sweden

In this paper, we investigate the problem of detecting-time epochs when zero-velocity updates can be applied in a foot-mounted inertial navigation (motion-tracking) system. We examine three commonly used detectors: the acceleration-moving variance detector, the acceleration-magnitude detector, and the angular rate energy detector. We demonstrate that all detectors can be derived within the same general likelihood ratio test (LRT) framework, given the different prior knowledge about the sensor signals. Further, by combining all prior knowledge, we derive a new LRT detector. Subsequently, we develop a methodology to evaluate the performance of the detectors. Employing the developed methodology, we evaluate the performance of the detectors using leveled ground, slow (approximately 3 km/h) and normal (approximately 5 km/h) gait data. The test results are presented in terms of detection versus false-alarm probability. Our preliminary results show that the new detector performs marginally better than the angular rate energy detector that outperforms both the acceleration-moving variance detector and the acceleration-magnitude detector.

关键词： Biomedical signal processing detection detection algorithm inertial navigation navigation

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The Study of Moving Target detection algorithm Based on Wind Field Detected by Lidar

The Study of Moving Target Detection Algorithm Based on Wind...

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2010 Second International Conference on Intelligent Human-Machine Systems and Cybernetics(第二届智能人机系统与控制论国际学术会议 IHMSC 2010)

作者： Shengliang Fang Yihua Hu Youlin Gu Rui Zhang Yonghua Wu Jihai Niu State Key Laboratory of Pulsed Power Laser Technology(Electronic Engineering Institute) Anhui Electr Anhui Electronic Engineering Institute Hefei Anhui 230037 P.R.China

Aiming at the situation that normal detection means is hard to find the airborne moving target that has a small RCS and rapid moving speed characteristics, the algorithm of moving target detection is presented based on atmospheric wind field disturbing data detected by lidar. First, through receiving atmospheric wind field disturbance information that is produced by the airborne moving target moving on the air, and the excellent characteristics that lidar has in the detection atmosphere, atmospheric wind field disturbing retrieval model is established to acquire moving target space field distribution condition. Moving target space field change data is acquired based on filtering background air disturbance information, Moving target detection is carried out based on moving target detection algorithm. The result shows there is consistent between moving target detected by the algorithm and experimental result. An effective approach of greatly improving moving target detection ability for the low_detectable target is supplied.

关键词： laser optics detection algorithm wind field retrieval atmospheric disturbance

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BDD based detection algorithm for XOR-Type Logic

BDD based Detection Algorithm for XOR-Type Logic

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2008 11th IEEE International Conference on Communication Technology(ICCT2008)

作者： Fei Sun,Yinshui Xia Institute of Circuits and Systems Ningbo University Zhejiang,China

Based on the characteristics study of binary decision diagrams (BDDs) of logic functions,a method using the characteristic triangle (CT) to detect logic functions suitable for XOR logic implementation is presented and a corresponding algorithm is *** proposed algorithm is implemented in C and tested on MCNC *** experimental results show that the proposed algorithm is efficient compared with published results.

关键词： Boolean logic Reed-Muller logic characteristic triangle detection algorithm

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Logic detection algorithm for Dual Logic Implementations Based on Majority Cubes

Logic Detection Algorithm for Dual Logic Implementations Bas...

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The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

作者： Wang Lunyao Xia Yinshui Chen Xiexiong School of Information Science and Technology Ningbo University Ningbo China 315211 School of Inform School of Information Science and Technology Ningbo University Ningbo China 315211 School of Information Science and Technology Zhejiang University Hangzhou China 310027

Based on the disjointed cubes of the logic functions, a method by searching majority cubes and Hamming distance to detect logic functions suitable for XOR logic implementation is presented. Some special covers of functions which meet the majority cubes will be expressed as a m-dimension cube and other offset cubes. After majority cubes searching, another logic detection method with hamming distance is used to incorporate those products whose hamming distances are 1 or 2. The proposed algorithm is implemented in C and tested on MCNC benchmarks. The experimental results show that the proposed algorithm is efficient compared with published results.

关键词： reed-muller logic logic optimization detection algorithm hamming distance

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Fast detection algorithm based on Sphere Decoding for Overlapped Hybrid Division Multiplexing System

Fast Detection Algorithm based on Sphere Decoding for Overla...

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The 2010 2nd International Conference on Future Computer and Communication(第二届未来计算机与通信国际会议 ICFCC 2010)

作者： Yanhua Zhang YanhuaSun Hao Wang School of Electronic Information and Control Engineering Beijing University of Technology Beijing Potevio Institute of Technology Co. Ltd.Beijing China

ISBN: (纸本)9781424458219;9781424458240

The overlapped time-frequency two dimensional multiplexing system (OvHDM, Overlapped Hybrid Division Multiplexing) can significantly improve the spectrum efficiency of communication system. The system can be described as a vector convolutional encoding constraint model and the optimum detection algorithm is maximum likelihood sequence detection (MLSD), but the algorithm causes large detection delay due to high complexity. In this paper, a mathematic model similar to M1MO system is derived for OvHDM system and sphere decoding algorithm is applied to fast detect the received signal. Simulation results show that the algorithm based on sphere decoding obtains the same performance of the optimum detection but the computational complexity is significantly *** performance of OvHDM system is better than that of QAM modulation with the same spectrum efficiency at a high signal to noise ratio. This shows that improving the transmission rate with overlapped signals can achieve greater gains than using high-order QAM modulation with the same spectrum efficiency.

关键词： overlapped hybrid division multiplexing system sphere decoding detection algorithm spectrum efficiency

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DBSCAN-Based No-Load Road detection algorithm

DBSCAN-Based No-Load Road Detection Algorithm

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2018 3rd International Conference on Materials Science,Machinery and Energy Engineering(MSMEE 2018)

作者： Jiandong Shang Yunpeng Yang Runjie Liu Yaohuan Yang Panle Li Huihui Hao School of the Zhengzhou's Smarter City Zhengzhou University Institute of Industrial Technology of Zhengzhou University

Taxi plays an important role in the urban passenger transport system. Good taxi service quality will help increase the happiness of urban residents. However, the issue of no-load taxis has always been one of the most concerned issues for urban managers. This paper uses the improved DBSCAN method to carry on the cluster analysis to the taxi trajectory, prompts the taxi driver to avoid the no-load area, and achieves the purpose that to raise the taxi utilization factor. The improved DBSCAN method introduces two distance metrics, segment feature distance and dynamic space-time distortion distance. The feature distances of the segment include the vertical distance, horizontal distance, and angular distance, which can effectively measure the distance between trajectory segments. The dynamic space-time distortion distance introduces spatial factors on the basis of the dynamic distortion distance, and successfully overcomes the similarity error problem caused by different trajectory lengths. At the same time, using the GPS data set of Nanjing taxi to carry out experiments, the results show that the algorithm has higher accuracy and stability than the algorithms in the literature.

关键词： DBSCAN-Based No-Load Road detection algorithm

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A two-stage variational jump point detection algorithm for real estate analysis

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LAND USE POLICY 2021年 111卷 105687-105687页

作者： Choy, Siu-Kai Yu, Carisa K. W. Lee, Tanki C. L. Lam, Benson S. Y. Wong, Catherine Y. W. Hang Seng Univ Hong Kong Dept Math Stat & Insurance Shatin NT Hong Kong Peoples R China Hang Seng Univ Hong Kong Dept English Shatin NT Hong Kong Peoples R China Hang Seng Univ Hong Kong Big Data Intelligence Ctr Shatin NT Hong Kong Peoples R China

Real estate is one of the most important forms of portfolio, which plays an essential role in the economy of Hong Kong. Extensive investigations indicate that jump points in the private domestic price indices are subject to various factors such as international events, regional incidents, and government policies. Detecting jump points and identifying their relationships with these factors are indispensable since such findings can facilitate policymakers and investors to look forward. In this paper, we propose a novel two-stage variational methodology using the total variation minimization algorithm and derivative-based detector with the thresholding function for detecting jump points in the Hong Kong private domestic price indices. Our algorithm can weaken statistical fluctuation of the price indices via the total variation formulation and accurately detect jump points based on its rate of change. Comparative experimental results based on the monthly private domestic price indices from January 2010 to July 2020 reveal that the proposed method can detect 40 jump points corresponding to the aforementioned factors whereas the current state-of-the-art empirical mode decomposition approach can only detect 29 jump points, which indicates the superior performance of the proposed method.

关键词： Real estate Jump points Total variation detection algorithm Hong Kong

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Securing Vehicular Ad-hoc Networks: detection and Identification algorithm of MITM Attacks 14

Securing Vehicular Ad-hoc Networks: Detection and Identifica...

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14th International Conference on Electrical Engineering (ICEENG)

作者： El. Alashkar, Nourhan Mokhtar, Bassem Ismail, Tawfik Nile Univ Wireless Intelligent Networks Ctr WINC Giza Egypt Taibah Univ Coll Engn Madinah 42353 Saudi Arabia Cairo Univ Natl Inst Laser Enhanced Sci Dept EAL Giza Egypt UAE Univ Comp & Network Engn Dept Coll Informat Technol Al Ain U Arab Emirates Alexandria Univ Dept Elect Engn Fac Engn Alexandria Egypt

ISBN: (纸本)9798350343427;9798350343434

The communication between vehicles (V2V) and vehicles to infrastructure (V2I) plays a crucial role in the Vehicular Ad-hoc Network (VANET). Its aim is to enhance road safety, reduce traffic accidents, and improve traffic efficiency. This necessitates the exchange of critical information among vehicles, static roadside units (RSUs), and traffic control centers. This integration gives rise to Cooperative Intelligent Transport Systems (C-ITS). However, the latency in wireless communication can have adverse effects on safety. To address this, vehicle advancements have led to the formation of platoons, enabling better latency control and safer driving. Nonetheless, platooning also exposes vehicles to significant risks, such as Man-In-The-Middle (MITM) attacks. These attacks can result in message delays, juggling, and drop-offs, particularly affecting time-sensitive messages like accident notifications. This research paper focuses on analyzing the impact of MITM attacks that cause message delays and proposes measures to detect and sever connections with malicious vehicles. By establishing secure paths, this solution aims to enhance VANET security and optimize network performance.

关键词： Man-in-the-middle (MITM) attacks detection algorithm Vehicular network (VANET) NS3

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