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Efficient Ship:A Hybrid Deep Learning Framework for Ship Detection in the River

computer Modeling in engineering & Sciences 2024年第1期138卷 301-320页

作者： Huafeng Chen Junxing Xue Hanyun Wen Yurong Hu Yudong Zhang School of Computer Engineering Jingchu University of TechnologyJingmen448000China School of Computer Science Yangtze UniversityJingzhou434023China School of Computing and Mathematic Sciences University of LeicesterLeicesterLE17RHUK

Optical image-based ship detection can ensure the safety of ships and promote the orderly management of ships in offshore *** deep learning researches on optical image-based ship detection mainly focus on improving one-stage detectors for real-time ship detection but sacrifices the accuracy of *** solve this problem,we present a hybrid ship detection framework which is named EfficientShip in this *** core parts of the EfficientShip are DLA-backboned object location(DBOL)and CascadeRCNN-guided object classification(CROC).The DBOL is responsible for finding potential ship objects,and the CROC is used to categorize the potential ship *** also design a pixel-spatial-level data augmentation(PSDA)to reduce the risk of detection model *** compare the proposed EfficientShip with state-of-the-art(SOTA)literature on a ship detection dataset called *** show our ship detection framework achieves a result of 99.63%(mAP)at 45 fps,which is much better than 8 SOTA approaches on detection accuracy and can also meet the requirements of real-time application scenarios.

关键词： Ship detection deep learning data augmentation object location object classification

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Asynchronous Control for T-S Fuzzy Semi-Markovian Jump Delay Systems Via Quantized Sampled-Data Control

Asynchronous Control for T-S Fuzzy Semi-Markovian Jump Delay...

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2023 International Conference on New Trends in Computational Intelligence, NTCI 2023

作者： Zhang, Jiangping Xiong, Lianglin School of Mathematic and Computer Science Yunnan Minzu University Kunming China School of Media and Information Engineering Yunnan Open University Kunming China

ISBN: (纸本)9798350380859

This article, by quantized sampled-data controller (QS-DC), addresses asynchronous control for T-S fuzzy semi-Markovian jump delay systems (TSFSMJDSs), which a weak innitesimal operator (WIO) working on a function with double semi-Markovian jump parameters (DSMJPs). Firstly, an innovative augmented Lyapunov-Krasovskii functional (LKF) is formated that includes both the message of states within the sampled-data intervals and involves with DSMJPs, which not only fully utilize the real sample pattern but also loosen the monotonic constraint of LKF. In addition, the designed QS-DC can enhance the control performance and design flexibility. Finally, verifying the feasibility of theoretical results via a numerical example. © 2023 IEEE.

关键词： Time delay

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Wireless Sensor Network Intrusion Detection Model for Real-time Hazardous Chemical Monitoring 3

Wireless Sensor Network Intrusion Detection Model for Real-t...

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3rd International Conference on Smart Data Intelligence, ICSMDI 2023

作者： Xu, Bing Chen, Youying School of Computer Science and Engineering Yulin Normal University Guangxi Yulin537000 China School of Mathematic and Computer Science Guangdong Ocean University Guangdong Zhanjiang524088 China

ISBN: (纸本)9781665464871

Intelligent video surveillance technology is composed of the extremely complex algorithms and technologies. Hence, this article proposes a wireless sensor network intrusion detection model to perform real-time hazardous chemical monitoring. The video surveillance is mainly obtained through the on-site investigation process. After a preliminary understanding of the on-site situation, the 'centripetal method' or 'centrifugal method' is used to visit the periphery, and finally the surveillance video will be detected. To improve the security, the network intrusion detection model is employed. The performance is validated by testing the model under different conditions. © 2023 IEEE.

关键词： Wireless sensor networks

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A BTN-Based Method for Multi-Entity Bitcoin Transaction Analysis and Influence Assessment

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Distributed Ledger Technologies: Research and Practice 2024年第4期3卷 1-23页

作者： Yan Wu Liuyang Zhao Jia Zhang Leilei Shi Lu Liu John Panneerselvam Jiangsu Key Laboratory of Security Technology for Industrial Cyberspace Jiangsu University Zhengjiang Jiangsu China and School of Computer Science and Communication Engineering Jiangsu University Zhengjiang Jiangsu China School of Computer Science and Communication Engineering Jiangsu University Zhengjiang Jiangsu China Department of Computer Science University of Exeter Exeter UK School of Computing and Mathematic Sciences University of Leicester Leicester UK

Bitcoin transaction analysis is valuable for examining Bitcoin events. However, most of the existing methods are inadequate for dealing with transactions involving multiple entities. Furthermore, existing Bitcoin transaction analysis methods neglect to evaluate the influence of different entities on a Bitcoin event. This article aims to overcome such limitations by introducing a novel method for multi-entity Bitcoin transaction analysis along with proposing a method for multi-entity influence assessment based on the Bitcoin transaction network (BTN) model. To overcome the loss of tracking information, a Bitcoin gene operation named compound dyeing is devised and incorporated into the BTN simulation. After obtaining the simulation results, a method for multi-entity transaction behavior analysis is presented to identify and visualize the interactions among entities precisely and effectively. Furthermore, four influence indices with suitable visualization methods are proposed based on the features of the BTN to measure the business and trading influences of different entities. A real-world case study, the *** coin loss event, is analyzed to demonstrate the effectiveness and efficiency of the proposed methods.

关键词： Blockchain computer forensics Bitcoin

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Wireless Sensor Network Intrusion Detection Model for Real-time Hazardous Chemical Monitoring

Wireless Sensor Network Intrusion Detection Model for Real-t...

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Smart Data Intelligence (ICSMDI), International Conference on

作者： Bing Xu Youying Chen School of Computer Science and engineering Yulin Normal University Yulin Guangxi China School of Mathematic and Computer Science Guangdong Ocean University Zhanjiang Guangdong China

Intelligent video surveillance technology is composed of the extremely complex algorithms and technologies. Hence, this article proposes a wireless sensor network intrusion detection model to perform real-time hazardous chemical monitoring. The video surveillance is mainly obtained through the on-site investigation process. After a preliminary understanding of the on-site situation, the “centripetal method” or “centrifugal method” is used to visit the periphery, and finally the surveillance video will be detected. To improve the security, the network intrusion detection model is employed. The performance is validated by testing the model under different conditions.

关键词： Wireless communication Wireless sensor networks Network intrusion detection Streaming media Video surveillance mathematical models Real-time systems

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Implementation of Preprocessing in Text Summarization Techniques for Indonesian Language Documents Using the Flax T5 Approach 11

Implementation of Preprocessing in Text Summarization Techni...

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11th International Conference on Cyber and IT Service Management, CITSM 2023

作者： Lubis, Arif Ridho Safitri, Habibi Ramdani Irvan Lubis, Muharman Al-Khowarizmi Nugroho, Okvi Politeknik Negeri Medan Department of Computer Engineering and Informatics Medan Indonesia Universitas Muhammadiyah Sumatera Utara Department of Mathematic Education Medan Indonesia Telkom University School of Industrial Engineering Bandung Indonesia Universitas Muhammadiyah Sumatera Utara Department of Information Technology Medan Indonesia Kulkas It Medan Indonesia

ISBN: (纸本)9798350305968

As information develops, many individuals or communities change their habits in obtaining information, which is usually consumed in large quantities, so that sometimes it is difficult to understand, it becomes easier to get information in summary form, so this research applies the text summarization technique to Indonesian language documents using the Flax T5 model. is the development of transformer-based google. The results of this study are the use of parameters from the Flax T5 model that can affect the performance of text summaries, evidenced by the number of epochs 20, batch size 64 producing ROUGE-1 of 0.24. the ROUGE-2 value is 0.3 and the ROUGE-L value is 0.31, while the epoch value is 60, batch size 128 makes ROUGE-1 0.35, ROUGE-2 value is 0.38 and the ROUGE-L value is 0.36. while the epoch value of 100 and the batch size value of 256 produce a ROUGE-1 value of 0.5, a ROUGE-2 value of 0.54, and a ROUGE-L value of 0.55. However, this model has limitations in text lengths of more than 150 because it will make the training time so long that it is highly recommended not to use text lengths that exceed 150 words. © 2023 IEEE.

关键词： Flax

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Asynchronous Control for T-S Fuzzy Semi-Markovian Jump Delay Systems Via Quantized Sampled-Data Control

Asynchronous Control for T-S Fuzzy Semi-Markovian Jump Delay...

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New Trends in Computational Intelligence (NTCI), International Conference on

作者： Jiangping Zhang Lianglin Xiong School of Mathematic and Computer Science Yunnan Minzu University Kunming China School of Media and Information Engineering Yunnan Open University Kunming China

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Bidirectional Choice for Many-to-many Online Task Assignment in Mobile Crowdsourcing

Bidirectional Choice for Many-to-many Online Task Assignment...

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IEEE International Conference on Web Services (ICWS)

作者： Xinhao Li Yingjie Wang Feng Jiang Yang Gao Chunxiao Mu Zhipeng Cai Yingxin Li Shilong Jin School of Computer and Control Engineering Yantai University Yantai China Chongqing University Chongqing China School of Mathematic and Information Sciences Yantai University Yantai China Department of Computer Science Georgia State University Atlanta GA USA

ISBN: (数字)9798350368550

ISBN: (纸本)9798350368567

The evolution of 5G and 6G technologies has boosted mobile network speed, reduced delays, and widened coverage, empowering Mobile Crowd Sensing (MCS) to overcome surface and terrain obstacles. However, this advancement brings new hurdles for online task assignment. While most MCS methods suit surface applications, they struggle with allocation in complex environments. This paper focuses on MCS in varied settings like surface, air, and high altitude. Currently, planning-based task assignment works better for one-to-one or one-to-many scenarios, with limited options for many-to-many situations. Improving platform utility, attracting top-quality crowd workers, and enhancing task completion efficiency are vital. To tackle these challenges, the paper introduces a spatial division algorithm using 3D Voronoi diagrams for complex environments. This algorithm utilizes task coordinates to delineate assignment spaces. Additionally, it introduces a two-stage many-to-many online task assignment algorithm (MOTA) that forecasts crowd workers’ arrival probabilities and combines auction-based incentives with differential evolution algorithms. MOTA ensures efficient matching of workers and tasks within spatio-temporal constraints, balancing both parties’ interests. Finally, comparative experiments on real datasets assess the proposed MOTA algorithm’s usability and effectiveness based on overall gain, running time, task count, and assignment rate.

关键词： Crowdsourcing Three-dimensional displays Web services Prediction algorithms Partitioning algorithms Sensors Delays Resource management Usability Mobile computing

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A three-layer hierarchical architecture for optimized routing protocol based on clustering and khalimsky topology for mobile wireless sensor networks

A three-layer hierarchical architecture for optimized routin...

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International Wireless Communications and Mobile Computing Conference, IWCMC

作者： Omnia Mezghani Mahmoud Mezghani National Engineering School of Sfax (ENIS) Sfax University Tunisia Department of Mathematic and Computer Engineering National Engineering School of Sfax Sfax University Tunisia Department of Electrical and Computer Engineering National Engineering School of Sfax (ENIS) Sfax University Tunisia

In this paper, we proposed a new concept regarding mobile sensor nodes deployment based on hierarchical WSNs architecture. The proposed architecture is based on three layers topology. In the upper layer fixed sensors are organized into a grid according to khalimsky toplogy. In the lower layer, mobile sensors are organized into clusters using the stochastic matrix and the MCL algorithm. For each cluster, a CH is elected according to a weight function of the degree, the distance to khalimsky nodes, the remaining energy and the speed of sensors. These CHs are located in the middle layer. Therefore, this paper presents an energy-efficient routing protocol based on clustering for the mobile sensors. Cluster heads collect data from their cluster members, aggregate and transfer it to the closest khalimsky node in the upper layer. For the fixed sensors in the upper layer, another energy-efficient routing algorithm is used to calculate the blot and to determinate the shortest path between the source and the sink. The obtained simulation results proves the effectiveness of our approach.

关键词： Wireless communication Wireless sensor networks Energy consumption Network topology Simulation Clustering algorithms Routing

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Green Computing: A Novel Approach for Scheduling Pctgs on Mpsocs

SSRN

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SSRN 2023年

作者： Tariq, Umair Ullah Ali, Haider Nadeem, Muhammad Shahroz Liu, Lu Grandhi, Srimannarayana Wang, Zhenglin School of Engineering and Technology University of Derby Derby United Kingdom School of Engineering and Arts Science and Technology Suffolk University Ipswich United Kingdom School of Computing and Mathematic Sciences University of Leicester Leicester United Kingdom School of Computer Science of Engineering and Technology The Central Queensland University Sydney Australia

Multiprocessor System-on-Chips (MPSoCs) architectures are gaining an increased popularity owing to their Quality-of-Service (QoS) and high-performance capabilities, making them particularly well-suited for computationally intensive workloads. However, scheduling a single task set with precedence constraints on MPSoC has been a challenging research problem in energy efficiency. The complexity of this problem escalates when conditional precedence constraints exist between tasks, forming what is known as a Conditional Task Graph (CTG). Efficiently scheduling sets of Periodic Conditional Task Graphs (PGCTs) on MPSoC becomes even more challenging. This paper addresses the scheduling problem of a set of PCTGs on MPSoCs with shared memory, with the objective of minimizing the total expected energy consumption under two power models: dynamic and static power models. To tackle this issue, the paper proposes a novel scheduling approach called Energy Efficient Successor Tree Consistent Earliest Deadline First (EESEDF). The EESEDF approach focuses on maximizing the worst-case processor utilization. Once tasks are mapped, it employs an earliest successor tree consistent deadline-first approach to order tasks on each processor. EESEDF solves a convex Non-Linear Program (NLP) to assign an optimal speed to each task, further reducing the total expected energy consumption... © 2023, The Authors. All rights reserved.

关键词： Energy utilization

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