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2022 IEEE Fourth International Conference on Advances in Electronics, Computers and Communications (ICAECC)最新文献

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Source Code Plagiarism Detection: A Machine Intelligence Approach 源代码抄袭检测:一种机器智能方法
Akhil Eppa, Anirudh Murali
Taking someone else’s work and claiming it as your own is termed as plagiarism. Plagiarism is a concerning issue in every field of education. There are various tools to detect plagiarism and help maintain the necessary integrity. This paper deals with plagiarism in the specific category of C programming assignments. Various machine learning and deep learning methods are investigated in detail along with the pros and cons. Concepts such as KNN, SVM, D-Trees, RNNs, and attention based transformer networks are tested for their effectiveness in detecting plagiarism in source code. A comprehensive dataset consisting of code pairs was prepared during the course of this research. Results obtained show that Machine Learning and Deep Learning methods provide better accuracy at detecting plagiarism than the current state of the art plagiarism detectors that use a text based approach. A tool is also presented to utilize the built software to detect plagiarism in source code.
盗用别人的作品并声称是自己的,这被称为剽窃。抄袭在教育的各个领域都是一个令人关注的问题。有各种各样的工具来检测剽窃,并帮助保持必要的完整性。本文讨论了C编程作业中特定类别的抄袭问题。对各种机器学习和深度学习方法及其优缺点进行了详细的研究。对KNN、SVM、D-Trees、rnn和基于注意力的变压器网络等概念进行了测试,以检测源代码中的抄袭行为。在此研究过程中,准备了一个由代码对组成的综合数据集。获得的结果表明,机器学习和深度学习方法在检测剽窃方面比当前使用基于文本的方法的最先进的剽窃检测器提供了更好的准确性。此外,还提供了一个工具来利用所构建的软件来检测源代码中的抄袭行为。
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引用次数: 5
A Highly Performed SPR sensor for Urea Detection Using Au-BeO-GaP Based structure 基于Au-BeO-GaP结构的高性能尿素检测SPR传感器
Yesudasu Vasimalla, H. Pradhan
A highly performed surface plasmon resonance (SPR) sensor is presented for urea detection using gold (Au)-beryllium oxide (BeO)-gallium phosphide (GaP)-based structure in this paper. Au is used to excite surface plasmons at prism surface in the proposed structure, whereas BeO is used for high absorption capability. Moreover, gallium phosphide (GaP) is employed as a higher absorption capability carrier and biomolecular recognition element (BRE) in order to prevent the external environment. The performance of the proposed SPR is investigated numerically at a wavelength of 670nm by considering the transfers matrix method and angular interrogation technique. In this study, we have considered three structures with defined layers for comparison of performance analysis. Initially, the performance show in terms of minimum reflectance (Rmin) and found less Rmin of 0.00013, which is always desired, at the optimized Au thickness. Furthermore, the analysis reports the performance in terms of sensitivity and quality factor (QF) for very small RI variations of the urea samples. The maximum achieved sensitivities and QF are 125.71°/RIU and 32.65RIU−1 for conventional SPR; 145.71°/RIU and 32.31 RIU−1 for BeO-based SPR; 288.57°/RIU and 33.63RIU−1 for proposed SPR. Finally, the performance proposed work is compared with existed works done by other researchers, demonstrating the proposed SPR amplifies the sensitivity and heightened the QF.
本文提出了一种基于金(Au)-氧化铍(BeO)-磷化镓(GaP)结构的高性能表面等离子体共振(SPR)尿素传感器。在该结构中,Au被用于激发棱镜表面的表面等离子体,而BeO被用于高吸收能力。此外,采用磷化镓(GaP)作为吸收能力较高的载体和生物分子识别元件(BRE)来防止外界环境的干扰。采用传递矩阵法和角度询问法对该SPR在670nm波长下的性能进行了数值研究。在本研究中,我们考虑了三种具有定义层的结构进行性能分析比较。最初,性能表现在最小反射率(Rmin)方面,并发现在优化的Au厚度下,Rmin小于0.00013,这是一直期望的。此外,该分析报告了尿素样品非常小的RI变化的灵敏度和质量因子(QF)方面的性能。传统SPR的最大灵敏度和QF分别为125.71°/RIU和32.65RIU−1;基于beo的SPR为145.71°/RIU和32.31 RIU−1;建议的SPR为288.57°/RIU和33.63RIU−1。最后,将所提出的工作性能与其他研究人员的现有工作进行了比较,表明所提出的SPR放大了灵敏度并提高了QF。
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引用次数: 0
Establishment of Ground Station for two-way Communication via Geostationary Amateur Radio Satellite 利用地球同步业余无线电卫星建立双向通信地面站
Ajith Kumar Joel T, Chandan Mn, Charan Yadav Np, Pavan Kalyan Reddy Y, M. Devanathan
With the recent advances in the field of satellite technology, satellites are being launched for various applications such as broadcasting, meteorology, remote sensing, amateur radio etc. One such satellite launched for amateur radio application is the Es’hail-2/QO-100 satellite. Es’hail-2/QO-100 is a geostationary satellite built by Japan’s Mitshubishi Electric company, and launched aboard a SpaceX Falcon 9 rocket on November 15,2018. The QO-100 carries two transponders specially built for HAM radio communications. This paper aims at setting up a ground station for two-way communication via the QO-100 satellite between various amateur radio operators located in areas spanning from Brazil to Thailand. The ground station is setup using HF Transceiver, Software Defined Radio (SDR), Parabolic Reflector Antenna and Dual Patch Antenna along with frequency Up-converter, Downconverter and Power Amplifier.
随着近年来卫星技术领域的进步,卫星被发射用于各种应用,如广播、气象、遥感、业余无线电等。为业余无线电应用而发射的这样一颗卫星是Es 'hail-2 /QO-100卫星。Es 'hail-2 /QO-100是一颗由日本Mitshubishi Electric公司制造的地球同步卫星,于2018年11月15日由SpaceX猎鹰9号火箭发射。QO-100携带两个专门为业余无线电通信建造的应答器。本文旨在建立一个地面站,通过QO-100卫星在位于从巴西到泰国的各个地区的业余无线电操作员之间进行双向通信。地面站采用高频收发器、软件无线电(SDR)、抛物面反射天线和双贴片天线以及频率上、下变频器和功率放大器。
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引用次数: 2
An ML-based Citizen-Driven Traffic Violation Reporting Android App 基于机器学习的公民交通违规举报Android应用程序
Achanta Karthikeya, Achuta D. Anekal, Aditya Priyadarshi, M. Rajasekar
As violations in the city are on the rise, we bring out a citizen-driven application to allow them to take responsibility for being a lawful Samaritan was the need of the hour. The Bangalore city Traffic Police has released an application ‘Public Eye’ which only partially serves this purpose. In this project, we attempt to contribute to this good initiative by enhancing the User Experience and adding the power of Machine Learning and Artificial Intelligence to simplify violation detection, while addressing privacy concerns. In our work, we have explored state-of-the-art models available for the task of detection and recognition in images. After studying the needs of users meticulously, we built an effective and meaningful User Experience in the App. The strengths of this App are its ease of use, flexibility, and privacy amongst others for an effective traffic violation reporting. Our approach to gamifying the experience will attract more users to take responsibility of being law abiding citizen. The efficacy of its usage is validated through volunteers.
由于这个城市的违法行为在增加,我们推出了一个公民驱动的应用程序,允许他们承担起作为一个合法的撒玛利亚人的责任。班加罗尔市交警发布了一款名为“公众之眼”的应用程序,它只能部分地实现这一目的。在这个项目中,我们试图通过增强用户体验和增加机器学习和人工智能的力量来简化违规检测,同时解决隐私问题,从而为这一良好的举措做出贡献。在我们的工作中,我们探索了用于图像检测和识别任务的最先进的模型。在仔细研究了用户的需求之后,我们在App中建立了一个有效而有意义的用户体验。这个App的优势在于它的易用性,灵活性和隐私性,以及其他有效的交通违规报告。我们的游戏化体验将吸引更多的用户承担起守法公民的责任。通过志愿者验证其使用效果。
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引用次数: 0
Conceptual design of a quadruped wheel-legged robot for an autonomous terrestrial locomotion 陆地自主运动四足轮腿机器人的概念设计
A. Kouame Yann Olivier, R. Biradar, Geeta D. Devanagavi
Many living species are having different ways to locomote themselves, which implies different mechanisms and methods. Each locomotion method brings up some benefits over the others, which motivated researchers to create bio-inspired robots for different applications. Applications related to locomotion methods aim at improving the navigability of robots to allow them to move in irregular terrains. Versatile mobile robots would be suitable for medical facilities, hospitality and customer services, personal assistance, security, agriculture, warehousing and order fulfilment, exploration, disaster recovery, emergency response. Developing a reliable and efficient locomotion method was the objectives of researchers for many years. They proposed different solutions with increased performances such as high speed, high mobility, less energy consumption, increased overall efficiency, highly reliable, high stability and so on.This paper provides the conceptual design of quadruped wheel-legged robot that decides the type of locomotion system based on the terrain perception. We present an overview of existing locomotion systems and propose road map for the design of a quadruped wheel-legged robot that can be demonstrated with an autonomous locomotion based on the analysis the terrestrial terrain to be navigated.
许多生物都有不同的运动方式,这意味着不同的机制和方法。每一种运动方法都比其他方法有一些优点,这促使研究人员为不同的应用创造仿生机器人。与运动方法相关的应用旨在提高机器人的导航性,使其能够在不规则的地形上移动。多功能移动机器人将适用于医疗设施、酒店和客户服务、个人协助、安全、农业、仓储和订单履行、勘探、灾难恢复、应急响应。开发一种可靠、高效的运动方法是研究人员多年来的目标。他们提出了不同的解决方案,提高了性能,如高速、高移动性、低能耗、提高了整体效率、高可靠性、高稳定性等。提出了基于地形感知来决定运动系统类型的四足轮腿机器人的概念设计。我们对现有的运动系统进行了概述,并提出了设计四足轮腿机器人的路线图,该机器人可以基于对要导航的陆地地形的分析来演示自主运动。
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引用次数: 1
Efficiency of Transfer Learning for Abnormality Detection using Colonoscopy Images: A Critical Analysis 利用结肠镜图像进行异常检测的迁移学习效率:关键分析
Subhashree Mohapatra, G. Pati, T. Swarnkar
Colonoscopy is a procedure which helps the gastroenterologists to examine the lower gastrointestinal (GI) region for any abnormal condition. Diagnosis of diseases in the lower GI area is challenging and complicated process which requires highly experienced professional for accurate examination. In recent times deep learning has gained popularity for faster and more accurate detection of diseases and can be an efficient assist to the gastroenterologists. In this work the effectiveness of pre-trained deep convolutional neural network (DCNN) models namely GoogleNet, ResNet-50 and ShuffleNet are analyzed using the concept of transfer learning for abnormality detection in lower GI. The DCNN architectures are trained and compared using the images related to lower GI region from HyperKvasir dataset. The work also demonstrates the effect of data augmentation in enhancing the performance of DCNN. The result shows that ResNet-50 architecture performs the best in classification of lower GI images as normal or abnormal with 94.08% of accuracy, MCC of 0.879, without data augmentation, as well as 95.93% of accuracy and MCC of 0.917 with data augmentation. This study can help researchers to further explore the strength of transfer learning and design their own deep networks.
结肠镜检查是一种帮助胃肠病学家检查下胃肠道(GI)区域是否有任何异常情况的程序。下消化道疾病的诊断是一个具有挑战性和复杂性的过程,需要经验丰富的专业人员进行准确的检查。近年来,深度学习在更快、更准确地检测疾病方面得到了普及,可以成为胃肠病学家的有效辅助。本文利用迁移学习的概念分析了预训练深度卷积神经网络(DCNN)模型GoogleNet、ResNet-50和ShuffleNet在低GI异常检测中的有效性。使用HyperKvasir数据集中与低GI区域相关的图像对DCNN架构进行训练和比较。研究还证明了数据增强在提高DCNN性能方面的作用。结果表明,采用ResNet-50架构对下GI图像进行正常或异常分类的准确率为94.08%,未加数据增强时的MCC为0.879;加数据增强时的准确率为95.93%,MCC为0.917。本研究可以帮助研究者进一步探索迁移学习的优势,设计自己的深度网络。
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引用次数: 1
Fog based Integrated Nutrient Management System for Macronutrients Recommendation 基于雾的宏量营养素推荐综合营养管理系统
G. Ambildhuke, B. Banik
Agriculture is the most concerning Area of today, which plays a vital role in food production. The requirement of every crop is different from others. Therefore, resources like water and fertilizers should be used as per the crop requirement and the type of soil. This paper presents a framework to determine the deficiency of N, P, and K in the soil using an optical transducer that works on the principle of absorption of light by each nutrient and can convert light into current. The Arduino controller manipulates this output current as output voltage that can be evaluated to the content of N, P, and K into low, medium, or high. A comparison of these values with threshold values, which are already known, gives a recommendation for the supply of significant macronutrients NPK based on real-time monitoring by sending an SMS alert to the farmer to maximize the crop yield. Understanding soil nutrient variability helps to improve the ability to match fertilizers to the available resources. The proposed hardware prototype and software system can be programmed using a microcontroller based on Raspberry pi 3 using Python. Based on different available techniques, it is recommended that instead of using only chemical fertilizers alone, a combination of organic manure or bio-fertilizers and chemical or synthetic fertilizers will result in high crop yield as well as will help in sustaining soil health, thus reducing the harmful effect of synthetic fertilizers on the environment and people. The information in the paper will surely help farmers to implement the appropriate amount, rate, and combination of fertilizers.
农业是当今最受关注的领域,它在粮食生产中起着至关重要的作用。每种作物的需要量都不同。因此,应该根据作物需求和土壤类型来使用水和肥料等资源。本文提出了一种利用光学换能器测定土壤中氮、磷、钾缺乏量的框架,该换能器利用每种养分吸收光的原理,并将光转换为电流。Arduino控制器将此输出电流作为输出电压,可以将N, P和K的含量评估为低,中或高。将这些值与已知的阈值进行比较,可以根据实时监测向农民发送短信警报,以最大限度地提高作物产量,从而对重要宏量营养素NPK的供应提出建议。了解土壤养分变异性有助于提高肥料与可利用资源相匹配的能力。所提出的硬件原型和软件系统可以使用基于Raspberry pi 3的微控制器使用Python编程。根据不同的现有技术,建议不单独使用化肥,而是将有机肥或生物肥料与化学或合成肥料结合使用,既能提高作物产量,又有助于维持土壤健康,从而减少合成肥料对环境和人类的有害影响。本文提供的信息一定会帮助农民实施适当的肥料用量、用量和组合。
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引用次数: 0
DSTATCOM based Closed Loop Controlled Wind Power Plant with Self Excited Induction Generator for Controlling Terminal Voltage against Load Disturbances. 基于DSTATCOM的自激感应发电机闭环控制风电场终端电压对负载扰动的控制。
Venu Yarlagadda, Garikapati Annapurna Karthika, M. Nagajyothi, J. Bhavani
The Modern Power systems are incorporated with renewable energy generation resources such as solar and wind power plants. The everlasting Demand for electrical power leads to dynamic load variations on the electric grid subsequently resulting in frequency and voltages fluctuations. This article focused on the voltage control over wide scenarios of load variations on wind power plants equipped with DSTATCOM based Self Excited Induction Generator (SEIG). The distribution generation system is formed with a DSTATCOM fed SEIG based wind power plant feeding an isolated load with its variations. The wind plant is subjected to speed variations as well as load perturbations leading to voltage fluctuations; hence SEIG is best suited generator for the wind plant. The SEIG may feed with delta connected three phase capacitor banks or DSTATCOM as used in the present case, which will stabilize the voltage fluctuations. This article deals with a standalone wind power plant, which is developed with GTO based Voltage Sourced Converter (VSC) and its closed loop control for the terminal voltage control of the plant. The Simulink model has been derived and developed for the case study.The terminal voltage has been maintained for different load scenarios by the use of closed loop control of DSTATCOM and these results are presented in this article, which proves the effectiveness of DSTATCOM in voltage stabilization of wind power plants.
现代电力系统与太阳能和风力发电厂等可再生能源发电资源相结合。对电力的持续需求导致电网的动态负荷变化,从而导致频率和电压的波动。本文主要研究了基于DSTATCOM自激感应发电机(SEIG)的风力发电厂在负荷变化情况下的电压控制问题。分布式发电系统由DSTATCOM馈电的SEIG型风力发电厂馈电一个变化的孤立负荷组成。风力发电厂受到速度变化和负载扰动的影响,从而导致电压波动;因此,SEIG是最适合风力发电厂的发电机。SEIG可以用delta连接的三相电容器组或DSTATCOM馈电,这将稳定电压波动。本文研究了一个独立的风电场,该风电场采用基于GTO的电压源变换器(VSC)及其闭环控制系统对风电场进行终端电压控制。为案例研究,推导并开发了Simulink模型。本文通过DSTATCOM的闭环控制实现了不同负荷情况下的终端电压保持,验证了DSTATCOM在风电场稳压中的有效性。
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引用次数: 1
[ICAECC 2022 Front cover] [ICAECC 2022封面]
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引用次数: 0
Technology Trends in Transmit Receive Modules for Synthetic Aperture Radar Satellites 合成孔径雷达卫星发射接收模块技术发展趋势
V. Chippalkatti, R. Biradar, S. Rana
This survey paper provides an overview of the current activities and progress towards Transmit Receive Module technology developments for the Synthetic Aperture Radar (SAR) payloads of Earth Observation Satellites. Globally, the space technologies are rapidly evolving and are clearly intending to integrate multiple functional blocks on a miniaturized platform. The technology trends in each of the constituents of a Transmit Receive Module such as RF, Digital, Power and Mechanical are described.The critical aspects associated with components, materials, packaging, manufacturing, testing and characterization and reliability estimation are also covered in this paper. Details of the past, present, and planned SAR satellite missions using the TR modules are also listed.
本文概述了对地观测卫星合成孔径雷达(SAR)有效载荷发射接收模块技术发展的现状和进展。在全球范围内,空间技术正在迅速发展,显然打算将多个功能块集成到一个小型化平台上。介绍了收发模块各组成部分的技术发展趋势,如射频、数字、功率和机械。与组件,材料,包装,制造,测试和表征以及可靠性估计相关的关键方面也涵盖在本文中。还列出了使用TR模块的过去、现在和计划中的SAR卫星任务的细节。
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引用次数: 2
期刊
2022 IEEE Fourth International Conference on Advances in Electronics, Computers and Communications (ICAECC)
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