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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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Improved detection algorithm for copy number variations based on hidden Markov model

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MULTIMEDIA TOOLS AND APPLICATIONS 2020年第13-14期79卷 9237-9253页

作者： Yang, Hai Zhu, Daming Shandong Univ Sch Comp Sci & Technol Qingdao 266237 Shandong Peoples R China

Aiming at the problems of parameter optimization and insufficient utilization of split reads in the detection for copy number variation (CNV), a new definition of relative read depth (RRD) and a randomized sampling strategy (RGN) are proposed in this paper. Compared to the raw read depth, the RRD parameter has weak correlation with GC content, mappability and the width of analysis windows tiled along the genome. The RGN strategy is based on the weighted sampling strategy which can speed up the read count data analysis. Subsequently, we propose an improved detection algorithm for CNV based on hidden Markov model (CNV-HMM). The HMM detects the abnormal signal of read count data and outputs the detection results of candidate CNVs. At the end of the algorithm, we filter out the results of candidate CNVs using the split reads to improve the performance of CNV-HMM algorithm. Finally, the experiment results show that our CNV-HMM algorithm has higher sensitivity and accuracy for CNVs detection than most of current detection algorithms and applicative both for diploid animal and plant.

关键词： detection algorithm Copy number variation Hidden Markov model Split read

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Convolutional-Neural-Network-Based detection algorithm for Uplink Multiuser Massive MIMO Systems

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IEEE ACCESS 2020年 8卷 64250-64265页

作者： Li, Lin Hou, Huijun Meng, Weixiao Nanjing Univ Posts & Telecommun Jiangsu Key Lab Broadband Wireless Commun & Inter Nanjing 210046 Peoples R China Nanjing Univ Posts & Telecommun Sch Internet Things Nanjing 210046 Peoples R China CETC 14th Res Inst Nanjing 210039 Peoples R China Harbin Inst Technol Commun Res Ctr Harbin 150001 Peoples R China

In the coming 6th generation (6G) and beyond in wireless communication, an increasing number of ultrascale intelligent factors, including mobile robot users and smart cars, will result in interference exploitation. The management of this exploitation will be a great challenge for detection algorithms in uplink massive multiple-input and multiple-output (MIMO) systems, especially for high-order quadrature amplitude modulation (QAM) signals. Artificial intelligence technology employing machine learning is one of the key approaches among the 6G technical solutions. In this paper, a convolutional-neural-network-based likelihood ascent search (CNNLAS) detection algorithm is proposed on the basis of a graphical detection model for uplink multiuser massive MIMO systems. Compared with other algorithms, the proposed CNNLAS detection algorithm has a stronger robustness against the channel estimation errors, and requires lower average received signal-to-noise ratios to obtain better bit error rate performance and to achieve the theoretical spectral efficiency with a lower polynomial average per symbol computational complexity, both for the graphical low-order and high-order QAM signals in uplink multiuser massive MIMO systems.

关键词： detection algorithms Uplink Massive MIMO Transmitting antennas Quadrature amplitude modulation Bit error rate Wireless communication massive multiple-input and multiple-output (MIMO) convolutional neural network (CNN) detection algorithm high-order modulation bit error rate (BER) computational complexity

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

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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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Study of Measurement and detection algorithm of LVDC Residual Current 66

Study of Measurement and Detection Algorithm of LVDC Residua...

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66th IEEE Holm Conference on Electrical Contacts and Intensive Course (HLM)

作者： Xie, Zhimin Li, Xingwen Wang, Jing Chen, Silei Xi An Jiao Tong Univ State Key Lab Elect Insulat & Power Equipment Xian Peoples R China Shenzhen Power Supply Bur Shenzhen Peoples R China Xian Univ Technol Sch Elect Engn Xian Peoples R China

ISBN: (纸本)9781665422208

With the rapid development of dc system, the residual current in dc system has become an urgent problem to be solved. However, the type B residual current devices (RCD) for ac systems could not be directly used in dc systems. The ac residual current caused by distributed capacitance and the rectifier seriously interferes with the accurate detection of the dc residual current. A detection simulation model of dc residual current based on magnetic modulation was established. The authors also proposed detection algorithms based on Kalman filter and moving average filter separately. The experimental results showed that the proposed model and detection algorithms were effective. They could detect the residual current in the dc system under ac interferences.

关键词： dc residual current LVDC detection algorithm magnetic modulation model

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A Survey of Intrusion detection algorithm in VANET 2020

A Survey of Intrusion Detection Algorithm in VANET

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3rd International Conference on Networking, Information System and Security (NISS)

作者： Boughanja, Manale Mazri, Tomader Ibn Tofail Sci Univ Elect Syst & Telecommun Engn Kenitra Morocco

ISBN: (纸本)9781450376341

Wireless communication technologies have known a huge evolution and they have greatly affected our daily lives. This enhancement has not only influenced the development of mobile communication, but also the development of vehicular communication. VANET is one of the new technologies that mark the development of transport. This new development faces enormous challenges, particularly in terms of network security. In order to solve this problem, some research has been carried out, particularly in terms of detection. In our paper, we will describe the architecture of VANET, and then present the different security problems that the technology faces. Finally, we will study different intrusion detection algorithms to improve the security of VANET networks.

关键词： VANET Security detection algorithm

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An detection algorithm for ARP man-in-the-middle attack based on data packet forwarding behavior characteristics 5

An detection algorithm for ARP man-in-the-middle attack base...

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IEEE 5th Information Technology and Mechatronics Engineering Conference (ITOEC)

作者： Ren, Ming Tian, Yanhui Kong, Siqi Zhou, Dali Li, Danping CAEP Inst Comp Applicat Mianyang Sichuan Peoples R China

ISBN: (纸本)9781728143231;9781728143224

The ARP protocol is located at the data link layer. Because the ARP protocol itself lacks an authentication mechanism, an attacker can easily masquerade as a gateway or a target server to intercept user data packets to achieve malicious purposes. This article first analyzes the behavior characteristics of ARP spoofing on the access switch, and then proposes an algorithm for detecting man-in-the-middle attacks based on ARP spoofing. Experiments show that the algorithm can detect ARP spoofing attacks effectively and locate the attacker quickly.

关键词： ARP protocol man-in-the-middle attack detection algorithm access switch

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Design and detection algorithm of White-Light Markers in Close-Range Photogrammetry 7th

Design and Detection Algorithm of White-Light Markers in Clo...

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7th Asia International Symposium on Mechatronics (AISM)

作者： Chen, Z. P. Lin, X. X. Ling, X. Wang, Y. Huang, C. L. Li, Z. W. Sun, Z. J. Hangzhou Dianzi Univ Hangzhou 310018 Peoples R China Shaoxing Special Equipment Procuratorate Shaoxing 312000 Peoples R China

ISBN: (纸本)9789813294417;9789813294400

In the process of close-range photogrammetry, it is hard to stick markers directly on the surface of the object to be measured at times. Projecting optical markers is a good solution. However, there are some problems for the existing optical markers such as difficulty in automatic matching and splicing. Therefore, this paper proposes the design and detection algorithm of white-light markers. White-light marker is composed of collar coded targets and circular non-coded targets. Collar coded targets are designed in the middle of the white-light marker, which can enhance the brightness of the coded strip and improve the recognition accuracy. Circular non-coded targets are designed around the collar coded targets, which can realize matching of non-coded targets among multiple images. Based on Canny operator, feature edges are extracted from the images. According to the criterions of scale, form, etc., the edges of markers are screened out. Markers containing coded strip is decoded to determine the identity. Center of gravity method is used to make the center position of white-light makers come true. The designed white-light marker is applied to the deformation detection experiment of crane girder. Its deformation curve is basically similar with the curve of sticking markers, which verifies the feasibility of the deformation detection of crane girder based on white-light markers.

关键词： Close-range photogrammetry White-light marker Design of marker detection algorithm Deformation detection of crane girder

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MechaTag: A Mechanical Fiducial Marker and the detection algorithm

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JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS 2021年第3期103卷 46-46页

作者： Digiacomo, Francesca Bologna, Francesco Inglese, Francesco Stefanini, Cesare Milazzo, Mario St Anna Sch Adv Studies Biorobot Inst Viale Rinaldo Piaggio 34 I-56025 Pontedera PI Italy Baker Hughes Co Nuovo Pignone Tecnol Srl Florence Italy

Fiducial markers are fundamental components of many computer vision systems that help, through their unique features (e.g., shape, color), a fast localization of spatial objects in unstructured scenarios. They find applications in many scientific and industrial fields, such as augmented reality, human-robot interaction, and robot navigation. In order to overcome the limitations of traditional paper-printed fiducial markers (i.e. deformability of the paper surface, incompatibility with industrial and harsh environments, complexity of the shape to reproduce directly on the piece), we aim at exploiting existing, or additionally fabricated, structural features on rigid bodies (e.g., holes), developing a fiducial mechanical marker system called MechaTag. Our system, endowed with a dedicated algorithm, is able to minimize recognition errors and to improve repeatability also in case of ill boundary conditions (e.g., partial illumination). We assess MechaTag in a pilot study, achieving a robustness of fiducial marker recognition above 95% in different environment conditions and position configurations. The pilot study was conducted by guiding a robotic platform in different poses in order to experiment with a wide range of working conditions. Our results make MechaTag a reliable fiducial marker system for a wide range of robotic applications in harsh industrial environments without losing accuracy of recognition due to the shape and material.

关键词： Computer vision Fiducial marker Robot navigation detection algorithm

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Low Complexity detection algorithm for Multi-LED Phase-Shifted Space-Time Codes

Low Complexity Detection Algorithm for Multi-LED Phase-Shift...

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International Conference on Optoelectronic and Microelectronic Technology and Application

作者： Guo, Jia-Ning Zhang, Jian Li, Lin Yan, Ruo-Lin PLA Strateg Support Informat Engn Univ Zhengzhou Peoples R China

ISBN: (纸本)9781510640702

Recently, visible light communication (VLC) is regarded as a new type of wireless communication that utilizes intensity modulation and direct detection (IM/DD) to realize signal transmission. In order to make better use of spatial resources to realize multi-LED collaborative transmission and dimming control, multi-LED phase-shifted space-time codes (MP-STC) has been proposed for dimmable multi-LED VLC systems. Although the MP-STC scheme has much better communication and illumination performance, the complexity of the traditional maximum likelihood (ML) detection algorithm is too high to implement. In this paper, a low complexity detection algorithm has been proposed for the MP-STC scheme. The simulation results show that the detection algorithm's error performance is close to or even achieving the ML detection algorithm's error performance.

关键词： visible light communication (VLC) detection algorithm dimming control low complexity

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