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2023 4th International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)最新文献

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Deep learning-based video anonymization for security and privacy 基于深度学习的视频匿名安全性和隐私性
Jon Gunnar Fossum, Benjamin Normann Skinstad, Saira Yamin, M. Ullah, F. A. Cheikh
In recent years, the design of systems has been heavily influenced by concerns about privacy and security. Companies have been particularly affected by the introduction of GDPR, which requires them to consider the privacy of individuals when storing personal data or facing significant fines. To address this issue, we have proposed a system that can detect and censor faces in a way that prioritizes privacy. Our system can process videos and automatically identify and blur facial features. We have customized our implementation using Facebook's object detector, Detectron2, and further developed it to enable facial detection and censorship. To evaluate the effectiveness of our approach, we conducted statistical tests and a small user study using videos that our system had censored. The results suggest that our implementation can reliably blur facial features to the point where the censored individuals are unrecognizable.
近年来,系统的设计受到隐私和安全问题的严重影响。企业尤其受到《通用数据保护条例》(GDPR)引入的影响,该条例要求企业在存储个人数据时考虑个人隐私,否则将面临巨额罚款。为了解决这个问题,我们提出了一个系统,可以以一种优先考虑隐私的方式检测和审查人脸。我们的系统可以处理视频,自动识别和模糊面部特征。我们使用Facebook的对象检测器Detectron2定制了我们的实现,并进一步开发它以实现面部检测和审查。为了评估我们方法的有效性,我们进行了统计测试,并使用我们的系统审查过的视频进行了一个小型用户研究。结果表明,我们的实现可以可靠地模糊面部特征,使被审查的个人无法识别。
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引用次数: 0
Visual-Inertial State-Estimation Using Ground Station for UAV 基于地面站的无人机视觉惯性状态估计
A. Khan, Hameed Ullah, U. Faisal, N. Mazhar, Muhammad Yusuf Khan
This paper presents the controller design and visual-inertial state estimation using IMU and camera for the quadrotor's flight. To accomplish this, first, the mathematical modeling of the quadrotor is presented based on Newtonian mechanics. Then a controller is designed that ensures the autonomous flight of the quadrotor. To achieve a high-level practical autonomy, state estimation is the first step. In this regard, vision-only estimation topologies are conventionally used. However, in a few very recent studies visual-inertial combined state estimation methodologies are introduced. In this research, the monocular visual-inertial system (VINS-mono) is utilized to achieve the autonomy of the quadrotor. The approach to employ this algorithm is different from existing work as the authors used offline ground computations that simplify the implementation. The results are presented to solidify the utility of the proposed method.
本文介绍了四旋翼飞行器的控制器设计和基于IMU和相机的视觉惯性状态估计。为此,首先基于牛顿力学建立了四旋翼飞行器的数学模型。在此基础上,设计了保证四旋翼飞行器自主飞行的控制器。为了实现高水平的实际自治,状态估计是第一步。在这方面,通常只使用视觉估计拓扑。然而,在最近的一些研究中,引入了视觉-惯性组合状态估计方法。在本研究中,利用单目视觉惯性系统(VINS-mono)来实现四旋翼飞行器的自主性。采用该算法的方法不同于现有的工作,因为作者使用了简化实现的离线地面计算。实验结果验证了所提方法的实用性。
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引用次数: 0
A Brief Overview of Deep Learning Approaches for IoT Security 物联网安全的深度学习方法概述
Muhammad Hassaan Khalid, Hana Sharif, Faisal Rehman, Muhammad Naeem Ullah, Shahbaz Shaukat, Hadia Maqsood, Chaudhry Nouman Ali, Ali Hussain, Irfana Iftikhar
The continuous increasing usage of internet devices in many areas of human life is continuously growing and demanding a proper method to protect these IoT devices from cyber-attacks and vulnerabilities. In this aspect, deep learning neural networks are a very helpful and beneficial method to provide protection to internet devices in many aspects. This study's objective is to systematically research and examine the background of research about neural networks tactics functional to different internet-based devices' safety use-cases. We put the influences we looked at into many different groups to show where this research is lacking. This particular research or findings mainly captures the articles related to “Deep neural networks”, “Cyber risks” and “IOT” in four databanks, namely Science Direct, ACM Digital Library, IEEEXplore and Springer Link. These studies concern 3 main studies, which involve safety aspects, their own Deep Learning network designs, and the occupied datasets. The final round is to find out the loopholes to be examined in the future and vulnerabilities and drawbacks in the IoT security scenario.
互联网设备在人类生活的许多领域的使用不断增加,需要一种适当的方法来保护这些物联网设备免受网络攻击和漏洞。在这方面,深度学习神经网络是一种非常有用和有益的方法,可以在许多方面为互联网设备提供保护。本研究的目的是系统地研究和检验神经网络策略在不同基于互联网的设备安全用例中的研究背景。我们把我们所研究的影响放在许多不同的群体中,以表明这项研究的不足之处。这一特定的研究或发现主要捕获了Science Direct、ACM Digital Library、IEEEXplore和Springer Link四个数据库中与“Deep neural networks”、“Cyber risks”和“IOT”相关的文章。这些研究涉及3个主要研究,涉及安全方面,他们自己的深度学习网络设计和占用的数据集。最后一轮是找出未来需要检查的漏洞,以及物联网安全场景中的漏洞和缺陷。
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引用次数: 0
Skip Connections' Importance in Biomedical Image Segmentation 跳跃连接在生物医学图像分割中的重要性
Alina Yaqoob, Faisal Rehman, Hana Sharif, Muhammad Hamza Mahmood, S. Sharif, Awais Ahmad, C. Ali, Ali Hussain, Malhar Khan
This examination explores the impacts of both extensive and brief pass associations on Fully Biomedical Fully Convolutional Networks (FCN) Image division. In ordinary, just drawn-out pass associations are employed to pass highlights from the contracting way to the growing way to get better spatial insights lost during down testing. We increment FCNs by utilizing fast detour associations which can be similar to the ones introduced in leftover organizations to expand extremely profound FCNs. The presence of each lengthy and brief skip association is appropriate for incredibly profound FCN, concerning an evaluation of the slope stream. At long last, we show that in the EM dataset, an exceptionally profound FCN may likewise yield outcomes that may be almost the most recent with practically no extra submit handling.
本研究探讨了广泛和短暂的传递关联对全生物医学全卷积网络(FCN)图像分割的影响。一般情况下,只使用长传关联将收缩方式的亮点传递到生长方式,以获得在向下测试中丢失的更好的空间洞察力。我们通过使用快速迂回关联来增加fcn,这种关联可以类似于在剩余组织中引入的方法来扩展非常深刻的fcn。每个长而短的跳跃关联的存在都适用于令人难以置信的深刻的FCN,涉及斜坡流的评估。最后,我们表明,在EM数据集中,一个异常深刻的FCN同样可能产生几乎是最新的结果,几乎没有额外的提交处理。
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引用次数: 0
Broadband computer-generated holography (CGH)-based Bessel beam generation 基于宽带计算机生成全息(CGH)的贝塞尔光束生成
Isma Javed, Muhammad Asad, Y. M. Rind, Azhar Javed Satti, M. Zubair, M. Q. Mehmood
In the recent era of development, metasurfaces have provided a new way to develop ultra-compact multifunctional optical devices by overcoming the bottlenecks of traditional bulky optics. Due to phase singularities, metasurface-enabled Bessel beams of higher orders can carry orbital angular momentum (OAM) which makes them a potential candidate for high-capacity communication and data transmission systems. Herein this manuscript, Bessel beams of distinct order are designed using the technology of computer-generated holography for the visible spectrum. For full-range phase coverage, geometric phase modulation is applied along with a spin decoupling strategy to incorporate multifunctionality. The designed metasurface can transform the incident circular polarization component into its orthogonal one and can produce different-order beams. For proof of the broadband optical operation, the response of the designed metasurface is demonstrated at three wavelengths i.e., 488nm, 532nm, and 633nm. Moreover, a highly indexed lossless material zinc selenide (ZnSe) is introduced for the visible spectrum for a highly efficient optical response. The proposed design strategy can be extensively applied in optical communication, photography, optical data storage, and tomography techniques.
近年来,超表面技术克服了传统大体积光学器件的瓶颈,为开发超紧凑多功能光学器件提供了新的途径。由于相位奇点,高阶的超表面贝塞尔光束可以携带轨道角动量(OAM),这使它们成为高容量通信和数据传输系统的潜在候选者。在此手稿中,贝塞尔光束的不同顺序设计使用计算机生成的全息技术为可见光谱。对于全范围相位覆盖,几何相位调制与自旋解耦策略一起应用,以结合多功能性。所设计的超表面能将入射圆偏振分量转换成正交偏振分量,并能产生不同阶的光束。为了证明宽带光学操作,设计的超表面在三个波长(即488nm, 532nm和633nm)下进行了响应演示。此外,在可见光谱中引入了一种高折射率无损材料硒化锌(ZnSe),以获得高效的光学响应。所提出的设计策略可广泛应用于光通信、摄影、光数据存储和层析成像技术。
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引用次数: 2
A Highly Selective Dual Bandpass Filter using Couple Line Resonator for Modern Wireless Communication Systems 用于现代无线通信系统的双线谐振器高选择性双带通滤波器
Bilal Mushtaq, Muhammad Abdul Rehman, Aqib Hussain, Muhammad Jamshed Abbass
In this paper, a miniaturized dual-band bandpass filter (DB-BPF) based on a dual-path stub-loaded resonator is presented. A transversal filtering design is introduced in the proposed DB-BPF, which provides two signal propagation paths from input to output. In total, six transmission poles and four transmission zeros are obtained, which improves overall filter selectivity. The fractional bandwidth (FBW) of dual bands with center frequencies of 2.24 and 7.35 GHz is 36.4% and 31.2%, respectively. The physical size of a fabricated filter is $(0.43 times 0.17)lambda_{g}$, where $lambda_{g}$ is the guided wavelength at 2.24 GHz. The DB-BPF prototype is fabricated using a Roger Duroid RT/5880 substrate to further validate the result. The full-wave EM simulation and measured results show good agreement. The proposed dual-band bandpass is applicable to a wide range of modern communication technologies, including Wi-Fi, satellite, cellular, radar, and broadcast communication.
本文提出了一种基于双径桩负载谐振腔的小型化双带带通滤波器(DB-BPF)。在DB-BPF中引入了横向滤波设计,提供了从输入到输出的两条信号传播路径。共获得6个传输极点和4个传输零点,提高了滤波器的整体选择性。中心频率为2.24 GHz和7.35 GHz的双频段分数带宽(FBW)分别为36.4%和31.2%。制备的滤波器的物理尺寸为$(0.43 乘以0.17)lambda_{g}$,其中$lambda_{g}$为2.24 GHz的引导波长。DB-BPF原型是使用Roger Duroid RT/5880基板制作的,以进一步验证结果。全波仿真结果与实测结果吻合较好。提出的双频带通适用于广泛的现代通信技术,包括Wi-Fi、卫星、蜂窝、雷达和广播通信。
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引用次数: 1
Towards 5G, 6G and 7G Sustainable and Potential Applications Using Blockchain: Comparative Analysis and Prospective Challenges* 使用区块链实现5G, 6G和7G可持续和潜在应用:比较分析和前瞻性挑战*
Umna Iftikhar, Misbah Anwer, Ramzan Butt, Ghufran Ahmed
The Internet of Things (IoT) turns pervasive computing into a reality of connected everything. IoT connects billions of devices for rapid information sharing, specifically in 5G and 6G but it creates significant issues in privacy, transparency, and security. Blockchain has proved to be adaptive and useful for many applications, including those in the automobile sector. The aim of Industry 4.0 is to improve performance while sustaining quality under cost. The paper presents the existing survey of 5G, 6G, and 7G along with blockchain. The study proposes the architecture of 6G and an overview of the challenges and possible applications of blockchain using 5G, 6G, and 7G
物联网(IoT)将普惠计算变为万物互联的现实。物联网连接了数十亿台设备,以实现快速信息共享,特别是在5G和6G中,但它在隐私、透明度和安全性方面产生了重大问题。区块链已被证明对许多应用具有适应性和实用性,包括汽车领域的应用。工业4.0的目标是提高性能,同时在成本下保持质量。本文介绍了5G, 6G和7G以及区块链的现有调查。该研究提出了6G的架构,并概述了使用5G、6G和7G的区块链的挑战和可能的应用
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引用次数: 0
Numerical Analysis of Cs2 TiBr6 Perovskite Solar Cell Using ETL-CdS and HTL-CuI Materials 利用ETL-CdS和HTL-CuI材料对Cs2 TiBr6钙钛矿太阳能电池进行数值分析
Md Zannatul Arif, Md. Ziaul Alam, Nayan Kumar Chowdhury, Abhishak Dutta, Shyamal Baruri
Lead-free Ti-based perovskite solar cells (PSCs) can be pivotal materials in achieving high-performance power conversion efficiency (PCE). In this research, we present a lead-free, environmentally friendly, and sustainable perovskite solar cell based on Cs2TiBr6 and present the results of a numerical evaluation and design of this material. Hence, CdS is used for the Electron transport layer (ETL), and CuI is used for the Hole transport layer (HTL). We have investigated several factors, including the thickness of the ETL and HTL layers, the absorber layer, the defect density of the ETL and HTL, and the metalwork function. This investigation reveals high-performance PSCs that achieve an efficiency of up to 14.01% at 300 k temperature. The findings of this contribution have the potential to benefit the photovoltaic industry by easing the manufacturing of cheap, high-efficiency, lead-free Ti-based solar cells to satisfy rising energy demands.
无铅钛基钙钛矿太阳能电池(PSCs)是实现高性能功率转换效率(PCE)的关键材料。在这项研究中,我们提出了一种基于Cs2TiBr6的无铅、环保和可持续的钙钛矿太阳能电池,并介绍了该材料的数值评估和设计结果。因此,CdS用于电子传输层(ETL), CuI用于空穴传输层(html)。我们研究了几个因素,包括ETL和HTL层的厚度,吸收层,ETL和HTL的缺陷密度,以及金属加工函数。该研究揭示了在300 k温度下实现高达14.01%效率的高性能psc。这一贡献的发现有可能使光伏产业受益,因为它简化了廉价、高效、无铅的钛基太阳能电池的制造,以满足不断增长的能源需求。
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引用次数: 0
Design and Development of Android Based Therapeutic Heel Sole 基于Android的治疗鞋跟鞋底的设计与开发
Shahzadi Arzak Semab, Faisal Amin, Asma Mazhar, Muhammad Zia ur Rehman, M. Waris, Zahra Zia
Heel pain and plantar fasciitis are conjoint musculoskeletal conditions that cause distress in daily activities. It makes people uncomfortable and may cause distress. A one-line treatment available for such distress conditions is a customized heel pad. It is subjected to repetitive loading and plays an imperative part in absorbing shocks that may cause injuries. Another pharma-based solution available is the application of ointment on the heel. There are a number of ointments for massaging the heel, prescribed by physicians for the reduction of heel pain. The delinquent is using either of the treatment alone will reduce the pain but it is considered as a slow treatment. The central idea is based on combing both solutions together on one platform for the profligate way out of heel pain. A microcontroller-based smart heal pad with a built-in ointment discharge system. The heel sole is placed on the therapeutic platform. The therapeutic platform releases the ointment in the sole according to the desire of the user. There is a reservoir that automatically releases the ointment based on feedback provided by the user. The control ointment release from the reservoir is controlled by a motor. The therapeutic platform encompasses the massaging ball under the heel sole. Subsequently, when the massaging treatment has been done, the sole that contains orthoses can be disengaged from the massaging platform and can be positioned in the shoe of the user. The use of orthoses along with ointment will be proved as a fast-pain-relieving contrivance for the patient. It can save the person from physical therapy. This will prove as a user-friendly treatment for the effective relief of heel pain.
足跟疼痛和足底筋膜炎是关节肌肉骨骼疾病,在日常活动中引起痛苦。它使人不舒服,并可能引起痛苦。对于这种窘迫的情况,一种简单的治疗方法是定制鞋垫。它承受着重复的载荷,在吸收可能造成伤害的冲击方面起着至关重要的作用。另一种基于药物的解决方案是在脚后跟涂抹软膏。有许多按摩脚后跟的软膏,是医生为减轻脚后跟疼痛而开的处方。违法者单独使用任何一种治疗方法都可以减轻疼痛,但这被认为是一种缓慢的治疗方法。其核心思想是将两种解决方案结合在一个平台上,以挥霍方式摆脱脚跟疼痛。一种基于微控制器的智能治疗垫,内置药膏排出系统。鞋跟底放置在治疗平台上。治疗平台根据使用者的意愿在鞋底释放药膏。有一个储液器,根据用户提供的反馈自动释放软膏。控制药膏从储液器释放由电机控制。治疗平台包括脚后跟下方的按摩球。随后,当按摩处理完成后,包含矫形器的鞋底可以从按摩平台上分离出来,并可以定位在用户的鞋中。使用矫形器和软膏将被证明是一种快速缓解疼痛的发明。它可以使人免于物理治疗。这将被证明是一个用户友好的治疗,有效地缓解脚跟疼痛。
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引用次数: 0
A Survey on Machine Learning Approaches in Cryptocurrency: Challenges and Opportunities 加密货币中的机器学习方法:挑战与机遇
Hana Mujlid
Blockchain research is now heavily centred on cryptocurrency, which has drawn the attention of financial academics. The availability of numerous types of data and a wealth of resources in bitcoin research facilitates the application of machine learning algorithms. However, a through analysis and a complete study of machine learning-based cryptocurrencies need further research. Cryptocurrency price prediction is the most pertinent research topic and the algorithms being used in cryptocurrency research are not unique. Various researcher are using combination of multiple machine learning algorithms. Therefore, in this study, the research related to cryptocurrency price prediction using machine learning is summarized along with prominent research challenges related to application of machine learning algorithms in cryptocurrency.
区块链研究现在主要集中在加密货币上,这引起了金融学者的注意。比特币研究中多种类型数据和丰富资源的可用性促进了机器学习算法的应用。然而,对基于机器学习的加密货币进行深入分析和全面研究还需要进一步的研究。加密货币价格预测是最相关的研究主题,加密货币研究中使用的算法并不是唯一的。各种研究人员正在使用多种机器学习算法的组合。因此,在本研究中,总结了使用机器学习进行加密货币价格预测的相关研究,以及与机器学习算法在加密货币中的应用相关的突出研究挑战。
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引用次数: 1
期刊
2023 4th International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)
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