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Vehicle-mounted Early Warning System Based on Edge Intelligence 9

Vehicle-mounted Early Warning System Based on Edge Intellige...

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9th international conference on Advanced Cloud and Big Data, CBD 2021

作者： Gu, Yifeng Zhang, Zhenghua Hong, Qingqing Yangzhou University Information Engineering College Yangzhou City China

ISBN: (纸本)9781665407458

With the steady development of the social economy, the number of motor vehicles has increased rapidly. the number of traffic accidents continues to rise, and fatigue driving is one of the key factors leading to frequent traffic accidents. the Internet of things (IoT) technology based on cloud computing is receiving more and more attention, and the requirement of device for edge of IoT also has been increased. the amount of data generated by devices has exploded, which has brought a higher demand for data transmission bandwidth. therefore, this paper proposes an edge intelligent vehicle-mounted early warning system based on Gradient Boosting Decision Tree (GBDT), YOLOv4, and Deep Simple Online And Realtime Tracking (Deep SORT) algorithms. the system does not need to transmit data to the cloud center for processing, and realizes dual monitoring inside and outside the vehicle locally, effectively alleviating the pressure on transmission bandwidth. the result performed that the edge system can detect driver fatigue status and object categories outside the vehicle in real time, which has a positive effect on reducing traffic accidents and developing intelligent transportation. © 2022 ieee.

关键词： object detection

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CoCV: Heterogeneous Processors Collaboration Mechanism for End-to-End Execution of Intelligent Computer Vision Tasks on Mobile Devices 29

CoCV: Heterogeneous Processors Collaboration Mechanism for E...

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29th ieee international conference on Parallel and distributed Systems, ICPADS 2023

作者： Wan, Ye Liu, Mengyang Li, Guangtong Dong, Fang Southeast University School of Computer Science and Engineering Nanjing China

ISBN: (纸本)9798350330717

object detection, image classification, and various other computer vision tasks have become prevalent on mobile devices. these computer vision tasks are typically executed with three stages: pre-processing, inference, and post-processing. Mobile SoC, serving as the computing unit on mobile devices, typically consists of heterogeneous processors like CPU, GPU, and NPU. However, during the execution of a computer vision task, current available frameworks only achieve the parallelism of CPU and GPU in the inference stage. While during pre- and post-processing, only CPU is used, leaving GPU and NPU on the SoC to be idle. For mobile applications that require low latency, the overhead of pre-processing and post-processing stages often account for more than 50% of the total latency, which becoming a performance bottleneck of the entire task. To reduce latency, it is imperative to fully utilize the idle heterogeneous processors (GPU, NPU) on the SoC and achieve heterogeneous processors parallelism in all three stages during execution. In this paper, we propose CoCV, a heterogeneous processor parallel computing system for computer vision tasks on mobile devices. In CoCV, we are the first to build an image processing operator library for heterogeneous parallel computing on mobile devices. Besides, we design a task allocation scheduling algorithm to guide the partitioning of processing tasks during execution, which ensuring a relatively balanced workload between different processors. A cross-stage operator chaining technique is also proposed to reduce the data sharing overhead among different processors during execution. We build a prototype system and evaluate it with different computer vision tasks. the results show up to 33% latency reduction for end-to-end tasks and 2.32× speedup compared with the current best solution. © 2023 ieee.

关键词： CPU&GPU Co-execution Heterogeneous computing Mobile devices

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Social Distance Monitoring Using object Detection and Tracking Techniques in the Era of COVID-19 9

Social Distance Monitoring Using Object Detection and Tracki...

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9th international conference on Information, Cybernetics, and Computational Social Systems, ICCSS 2023

作者： Wang, Bingshu Chang, Ruofan Wang, Ze Feng, Shuang Zhang, Chuanbin School of Software Northwestern Polytechnical University Xi'an710129 China School of Applied Mathematics Beijing Normal University Zhuhai519087 China University of Macau Faculty of Science and Technology 999078 China

ISBN: (纸本)9798350342239

the COVID-19 has been posing threats to peoples health around the world due to its simple transmission route, strong mutation ability, and high infection. Currently, the superb vaccine breakthrough ability of mutant strains puts people's lives and health further at risk. Many measures are taken to fight against the epidemic. Keeping a safe social distance to prevent the spread of COVID-19 in public places. In this paper, we propose a method to monitor social distancing from a bird's-eye view. It mainly includes three parts. Firstly, an objector based on YOLOv5m is trained to detect human beings. It shows good performance compared with other models such as Faster R-CNN and YOLOv3. Secondly, we propose to use SORT algorithm to track each human by assigning it an ID. It also ensures the accuracy of multiple-object tracking. More importantly, it makes for tracking those who violate social distance. thirdly, the Euclidean distance between detected people is used to judge whether human beings keep social distance or not. It is implemented by computing the pairwise distances of the detected bounding box centroids. Experiments conducted on birds view dataset show that our method can monitor social distance well. Hopefully the proposed method and dataset can provide some help in the fighting against COVID-19. © 2023 ieee.

关键词： COVID-19

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object Oriented Fuzzy Decision Model for Insurance Claim

Object Oriented Fuzzy Decision Model for Insurance Claim

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international conference on computing, Engineering, and Design (ICCED)

作者： Sumiatie Susanto Ditdit Nugeraha Utama Computer Science Department BINUS Graduate Program Master of Computer Science Bina Nusantara University Jakarta Indonesia

the insurance industry faces a significant challenge concerning insurance claims, particularly due to the prevalence of fraudulent insurance claims. To address this issue, one potential solution is the implementation of a computer-based decision model. this research presents a fuzzy decision model based on object-oriented method development. the study involves seven stages (i.e. case analyzing, parameter analyzing, objects-parameters linking, detail object relation constructing, parameter exchange analyzing, OOFDM constructing, and model verifying and validating), with an object-oriented approach serving as the foundational method for constructing the model, and fuzzy logic as the primary method for assessing claim risks in proposing the best decision. the model has the capability to simulate insurance claims and offers objective decisions based on 19,611 claims data, categorizing them into two decision categories: acceptance and pending.

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Quarks: A Secure and Decentralized Blockchain-Based Messaging Network

Quarks: A Secure and Decentralized Blockchain-Based Messagin...

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ieee international conference on Cyber Security and Cloud computing (CSCloud)

作者： Mirza K. B. Shuhan Tariqul Islam Enam A. Shuvo Faisal H. Bappy Kamrul Hasan Carlos Caicedo Software Research & Engineering bKash Limited Dhaka Bangladesh School of Information Studies (iSchool) Syracuse University Syracuse NY USA School of Computing Asia Pacific University of Technology and Innovation Kuala Lumpur Malaysia Tennessee State University Nashville TN USA

Over the past two decades, the popularity of messaging systems has increased both in enterprise and consumer level. Many of these systems used secure protocols like end-to-end encryption to ensure strong security features such as “future secrecy” for one-to-one communication. However, the majority of them rely on centralized servers owned by big IT companies, which allows them to use their users’ personal data. Also it allows the government to track and regulate their citizens’ activities, which poses significant threats to “digital freedom”. Also, these systems have failed to achieve security attributes like confidentiality, integrity, privacy, and future secrecy for group communications. In this paper, we present a novel blockchain-based secure messaging system named Quarks that overcomes the security pitfalls of the existing systems and eliminates the centralized control. We have analyzed our design of the system with security models and definitions from existing literature to demonstrate the system’s reliability and usability. We have developed a Proof of Concept (PoC) of the Quarks system leveraging distributed Ledger Technology (DLT), and conducted load testing on that. We noticed that our PoC system achieves all the desired attributes that are prevalent in a traditional centralized messaging scheme despite the limited capacity of the development and testing environment. therefore, this assures us the applicability of such systems in near future if scaled up properly.

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A Prediction Method for the Industry of an enterprise Based on Knowledge Graph Completion Technology

A Prediction Method for the Industry of an Enterprise Based ...

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ieee international conference on Cloud computing and Big Data Analysis (ICCCBDA)

作者： Dezhi Kong Min Tan Yang Cao Dingding Li CETC Big Data Research Institute Co. Ltd. Guiyang city China

ISBN: (数字)9798350373554

ISBN: (纸本)9798350373561

this article proposes a method based on knowledge graph completion technology, aiming to achieve accurate prediction of the industry to which the enterprise belongs. this method first constructs an enterprise knowledge graph, and then completes the knowledge graph through path analysis and relationship description to capture the complex relationship between enterprises and industries. through experimental verification, this method can effectively improve the accuracy of industry prediction for enterprises. Compared to traditional machine learning methods and statistical models, methods based on knowledge graph completion technology have higher prediction accuracy and wider application prospects.

关键词： Industries Training Accuracy Semantics Redundancy Noise Knowledge graphs

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Empowering the Blind: AI-Assisted Solutions for Visually Impaired People 9

Empowering the Blind: AI-Assisted Solutions for Visually Imp...

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9th ieee international Smart Cities conference, ISC2 2023

作者： Oureshi, Muhammad Shuaib Khan, Inam Ullah Qureshi, SMuhammad Bilal Khan, Fida Muhammad Aleshaiker, Sama Chungnam National University Department of Computer Engineering Daejeon Korea Republic of University of Lakki Marwat Department of Computer Science & It KPK Pakistan University of Science & Technology Department of Computer Science Bannu Pakistan School of Computing and Engineering University of West London United Kingdom

ISBN: (纸本)9798350397758

Physical disability has an influence on individuals everywhere. One of these disabilities that significantly affect a large number of individuals is visual loss. Basic mobility problems, including as crossing the street, reading, driving, and socializing, are commonly a problem for blind people. To go around or complete other daily duties, they typically need on particular assistance devices, including walking sticks. there is still more work to be done in the field of blindness treatment, despite ongoing scientific research. In addition, research has suggested solutions to the problems faced by blind individuals, but these solutions need the necessary technology support. the goal of this research project is to employ smart devices to make daily routines simpler for blind persons of all categories. this smart gadget can recognize faces, different objects, and colors by employing artificial intelligence and picture processing. the notification of the visually impaired individual results from the detecting procedure and might take the form of a vibration or sound alarm. this study also includes a tangible survey that includes local residents who are blind or visually handicapped. In order to program and implement the project, Open CV and Python are both used. this project prototype's effort looks into the methods that are employed for object detection. It also shows how this smart gadget can recognize certain physical objects and how it may alert the user when faced with hurdles. By helping blind individuals with the use of smart technology, this research will, overall, be a helpful contribution to the field of healthcare. © 2023 ieee.

关键词： Face recognition

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A Compilation-and Remote-Programming-as-a-Service Platform for IoT Devices 12

A Compilation-and Remote-Programming-as-a-Service Platform f...

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12th ieee international conference on Joint Cloud computing (ieee JCC) / 9th ieee international conference on Mobile Cloud computing, Services, and Engineering (ieee MobileCloud)

作者： Charalampidis, Pavlos Fragkiadakis, Alexandros Fdn Res & Technol Hellas FORTH ICS Inst Comp Sci Iraklion Greece Hellen Open Univ Sch Sci & Technol Patras Greece

ISBN: (纸本)9781665434799

the Internet-of-things (IoT) presents itself as an emerging technology, which is able to interconnect a massive number of heterogeneous smart objects. these ubiquitous object-enabled networks, which may operate for several years in variable conditions, are used for supporting complex data-driven applications such as smart cities applications, home automation, health monitoring, etc. throughout their extended lifetime, the devices forming the IoT networks need to be re-programmed, so that new features are added and software bugs or security vulnerabilities are resolved. In this work, we present work-in-progress on the design of a Compilation-and Remote-Programming-as-a-Service platform that enables cloud-based compilation and build of device firmware, as well as remote firmware updates for deployed IoT devices, in a reliable and secure way. We introduce the functional architecture of our platform and elaborate on the interaction of functional components. Our solution can easily support various embedded operating systems and heterogeneous hardware platforms, as well as different communication patterns for firmware transfer.

关键词： Internet of things Cloud computing Platform-as-a-Service Cloud compilation Over-the-air programming

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A formal approach for secured risk analysis in information security management 9

A formal approach for secured risk analysis in information s...

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9th ieee international conference on Behavioural and Social computing, BESC 2022

作者： Zenitani, Kengo Tokyo Institute of Technology School of Computing Department of Mathematical and Computing Science Tokyo Japan

ISBN: (数字)9798350398144

ISBN: (纸本)9798350398144

Information security management is a managerial activity that tries to keep the level of the information security risk of an enterprise under some acceptable level. the process requires the iteration of information security risk assessment and the resources needed for the effort. At the same time, business executives compete for finite resources to invest in general business activities. the executives can intentionally reduce the resource assignment for risk assessment to broaden the variance of estimated risks and then choose the lower limit to underestimate the true risks. this study proposes a model-based risk assessment approach;it guarantees that an additional, thus expected to be costly, fine-grained risk assessment always gives a refined subset of the possible incidents compared to that of the relatively coarse-grained, thus expected to be cheaper, risk assessment. In other words, estimated incidents roughly decrease with the growth of assessment cost. We expect this property to secure the risk management process from conflicts between the business executives and the security practitioners. We refer to several actual incidents to show that the conflict is the reality and then elaborate on our approach to show how it works. Our approach introduces the concept named aggregation and segregation of facts appearing in Datalog programs. Datalog is a logic programming language used for attack graph analysis, a prominent approach in model-based network security risk analysis. this study contributes to expanding the attack graph analysis to enable secured business risk assessment. © 2022 ieee.

关键词： Risk assessment

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Research on Fast Adaptive Transmission Models for international Inland Port Based on Edge Intelligence

Research on Fast Adaptive Transmission Models for Internatio...

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ieee international conference on Cyber Security and Cloud computing (CSCloud)

作者： Liu Yiwen Zhu Zhirong Tangyan Wen Wenkan Peng Xiaoning Shi Yuanquan School of Computer and Artificial Intelligence Huaihua University Huaihua Hunan P. R. China Key Laboratory of Wuling-Mountain Health Big Data Intelligent Processing Application in Hunan Province Universities Huaihua Hunan P. R. China Key Laboratory of Intelligent Control Technology for Wuling-Mountain Ecological Agriculture in Hunan Province Huaihua Hunan P. R. China

In this paper, we propose a logistics international Inland Port resource allocation method based on intelligent edge scheduling, and we do a reasonable pre-allocation of logistics resources by building an edge network in the urban system. By using multiple integrated learning models and regional prevalence classification algorithms, the distribution demand of each sub-distribution point is predicted. the proposed method is able to cope with uncertainties such as high distribution volume, variable distribution situations or long transportation distances. We use the HuaiHua international Inland Port as the simulation object, and the simulation results show that the proposed method has the highest efficiency in logistics distribution and is still highly adaptive in emergency situations.

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