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2021 International Conference on Advances in Technology, Management & Education (ICATME)最新文献

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Design of Microstrip Patch Antennas with Various Shapes for Wireless Applications 无线应用中各种形状微带贴片天线的设计
Pub Date : 2021-01-08 DOI: 10.1109/ICATME50232.2021.9732749
S. Kannadhasan, R. Nagarajan
This paper incorporates a dual frequency band with different shaped structures of antenna such as, W-shaped, E-shaped, H-shaped, U-shaped and T-shaped. The suggested antenna for frequency control ranges from 1.5GHz to 3GHz. The antenna for the FR4 substrate dielectric constant is 4.2 and 1.8mm dielectric substrate thickness. By testing distinct parameters such as Reflection Coefficient, Radiation Pattern and Antenna Gain, the antennas are different in various configuration. The antenna parameters suggested are tested and optimized is used for simulation with various parameters.
本文采用了w型、e型、h型、u型、t型等不同形状结构的双频段天线。频率控制的建议天线范围为1.5GHz至3GHz。天线对于FR4基板的介电常数分别为4.2和1.8mm的介电基板厚度。通过对反射系数、辐射方向图和天线增益等不同参数的测试,可以看出天线在不同的配置下是不同的。对所提出的天线参数进行了测试和优化,并在不同参数下进行了仿真。
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引用次数: 2
Implementation of Cashless Bus Ticketing System Using RFID and IoT 利用RFID和物联网实现无现金公交票务系统
Pub Date : 2021-01-08 DOI: 10.1109/ICATME50232.2021.9732728
Yadav Punarvit, Khushboo Sawant, K. Shankar, Vikas Kumar
A Ticket system based on RFID technology is better than conventional ticketing system. It uses RFID technology in which passengers will have a RFID tag, with unique ID and linked data. When Passengers enters inside the bus it hits on the RFID reader. Thus data is fetched from database and E-Ticket is generated. RFID Reader will collect the data from the RFID tag and pass it to the Computing Device. This computing device consist of GPS module which will track record the location and with the help of GSM module it will access the database. when the passenger gets off the vehicle the computing device compute the fare as per the distance travelled by the passenger and deduct the corresponding amount from the account. It support digital India, cashless transaction and save paper. An online payment system will be made using IOT technology which will have its own keypad and thus helpful in secure and quick transaction.
基于RFID技术的票务系统优于传统的票务系统。它使用RFID技术,乘客将有一个RFID标签,有唯一的ID和关联的数据。当乘客进入公共汽车时,它会击中RFID读取器。因此,从数据库中获取数据并生成E-Ticket。RFID阅读器将从RFID标签收集数据并将其传递给计算设备。该计算装置由GPS模块和GSM模块组成,GPS模块将跟踪记录位置,并通过GSM模块访问数据库。当乘客下车时,计算设备根据乘客行驶的距离计算出票价,并从账户中扣除相应的金额。它支持数字印度,无现金交易和节省纸张。使用物联网技术的在线支付系统将拥有自己的键盘,从而有助于安全快速的交易。
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引用次数: 2
Remaining useful life (RUL) prediction for FDIA on IoT sensor data using CNN and GRU 使用CNN和GRU对物联网传感器数据进行FDIA剩余使用寿命(RUL)预测
Pub Date : 2021-01-08 DOI: 10.1109/ICATME50232.2021.9732743
Shipra Singh, Kaptan Singh, Anika Saxena
The industrial Internet of Things (IIoT) is the use of Internet of Things (IoT) technologies in manufacturing which tackles smartly the machine data generated by various sensors and applies various analytics on it to gain useful information. Predictive maintenance (PdM) is a method of preventing asset failure by analyzing production data and identifying patterns to predict issues before they happen. IoT Sensor nodes are also vulnerable to different threats and attacks, which primarily include false data injection attack (FDIA). This paper predicts the accurate remaining useful life (RUL) of IoT device through industrial predictive maintenance (PdM) and exhibits the effect of FDIA on a PdM system through convolutional neural network (CNN) and gated recurrent unit (GRU), for predicting the RUL using the C-MAPSS dataset of a turbo fan engine and gives their comparative result.
工业物联网(IIoT)是物联网(IoT)技术在制造业中的应用,它智能地处理由各种传感器生成的机器数据,并对其应用各种分析以获得有用的信息。预测性维护(PdM)是一种通过分析生产数据和识别模式来预防资产故障的方法,可以在问题发生之前进行预测。物联网传感器节点也容易受到不同的威胁和攻击,主要包括虚假数据注入攻击(FDIA)。本文通过工业预测性维护(PdM)预测物联网设备的准确剩余使用寿命(RUL),并通过卷积神经网络(CNN)和门控循环单元(GRU)展示FDIA对PdM系统的影响,使用涡轮风扇发动机的C-MAPSS数据集预测RUL,并给出它们的比较结果。
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引用次数: 0
GOCO Wearable Tracker Band for COVID-19 Patients 用于COVID-19患者的GOCO可穿戴追踪手环
Pub Date : 2021-01-08 DOI: 10.1109/ICATME50232.2021.9732709
Guriinder Singh, Maninder Singh, Shivam Dhall, Pratham Bhateja, Kshitiz Sharma, Rashpinder Kaur
Coronavirus disease (COVID-19) spreads across the globe rapidly and causes deaths every day. Many Countries have made home quarantine or stay-at-home compulsory to control its spreading. Tracking of the quarantined subjects is raising serious concerns. With the number of COVID patients escalating each day, timely detection is vital. The simplest and easiest way to monitor the quarantined patients is to provide them with a wearable device which makes them more compliant towards the rules/restrictions. In this paper, a prototype for a wearable band is proposed which aims to track the movement of COVID patients. The wearable band is IoT enabled and connected to the cloud to store the real-time location of the COVID patient. The data of the real-time location of COVID patients can be further used to provide safety instructions to other people.
冠状病毒病(COVID-19)在全球迅速传播,每天都造成死亡。许多国家已经强制实施家庭隔离或居家隔离,以控制其传播。对隔离对象的追踪引起了严重关注。随着新冠肺炎患者数量每天不断增加,及时发现至关重要。监测隔离患者最简单、最简单的方法是为他们提供可穿戴设备,使他们更遵守规则/限制。本文提出了一种可穿戴腕带的原型,旨在跟踪COVID患者的运动。这款可穿戴腕带支持物联网,并连接到云端,以存储新冠患者的实时位置。新冠患者的实时位置数据可以进一步用于向其他人提供安全指导。
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引用次数: 0
Study of Ionospheric TEC Variations and its synchronization with Solar Activity Indices, using GPS measurements during Solar Maxima and Minima Phases 利用GPS测量太阳活动极大期和极小期电离层TEC变化及其与太阳活动指数同步的研究
Pub Date : 2021-01-08 DOI: 10.1109/ICATME50232.2021.9732729
Mahesh Parwani, R. Ahmad, Bhupendra Malvi, P. Sharma, P. K. Purohit
The aperiodic fluctuations in the Solar Activities intensively affect ionospheric TEC (Total Electron Contents). These fluctuations are commonly studied with the help of Solar Activity Indices. For the present study, we have used three Solar Activity Indices [viz. Sunspot Number (Rz), Solar Extreme Ultraviolet Flux (EUV) and Coronal Mass Ejections (CME)]. These indices provide a wonderful opportunity to remotely observe the different Solar Phases. The aim of this study is to observe the relationship between the Solar Activity Indices and the Ionospheric TEC during Solar Maxima year 2012 and Solar Minima year 2017 at low latitude IGS station Pathum Wan, Thailand (Code-CUSV) at 13.74° N & 100.54° E. To perform this study, we have analyzed the diurnal variation of TEC during the solar Maxima and the Minima. We also analyzed the monthly as well as seasonal variation of the ionospheric TEC. We also investigated the relationship between Ionospheric TEC and solar activity indices.
太阳活动的非周期波动强烈影响电离层总电子含量。这些波动通常借助太阳活动指数进行研究。在本研究中,我们使用了三个太阳活动指数[即太阳黑子数(Rz)、太阳极紫外线通量(EUV)和日冕物质抛射(CME)]。这些指数提供了一个极好的机会来远程观察不同的太阳相位。本文在泰国Pathum Wan低纬度IGS站(代码cusv)观测了2012年太阳极大年和2017年太阳极小年的太阳活动指数与电离层TEC的关系,分析了太阳极大年和极小年期间TEC的日变化规律。分析了电离层TEC的月变化和季节变化。我们还研究了电离层TEC与太阳活动指数的关系。
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引用次数: 0
Symmetric Wide Slot Ground with Triangle Tunable Patch Antenna for WLAN Application 带三角形可调贴片天线的对称宽槽地无线局域网应用
Pub Date : 2021-01-08 DOI: 10.1109/ICATME50232.2021.9732757
Rachna Soni, Sudesh Gupta, Pranay Yadav
In era of digital communication wireless technology gaining advancement day by day. In this research presented a wide slot ground with triangle tunable patch antenna. For the modeling of the presented antenna use CST microwave studio. The band-width of anticipated design is good that is 182.18% (6.3GHz). The simulation outcome of triangle tunable patch with wide slot antenna with the assessment of different antenna parameters. The projected design triangle tunable patch demonstrate better result for bandwidth (B.W.), reflection coefficient, number of bands and other parameters as compare to robust previous wide slot shapes antenna.
在数字通信时代,无线技术日益进步。本文提出了一种带三角形可调谐贴片天线的宽槽地。采用CST微波工作室对天线进行建模。预期设计的带宽为182.18% (6.3GHz)。宽缝隙三角形可调谐贴片天线在不同天线参数下的仿真结果。投影设计的三角形可调谐贴片在带宽、反射系数、频带数等参数上均优于鲁棒型宽缝隙天线。
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引用次数: 2
Breast Cancer Detection Based on Feature Optimization and Pulse Coupled Neural Network Model 基于特征优化和脉冲耦合神经网络模型的乳腺癌检测
Pub Date : 2021-01-08 DOI: 10.1109/ICATME50232.2021.9732705
Anoop Singh, M. Sivakkumar
Breast cancer is a leading disease worldwide for the cause of women's death, among other conditions such as tuberculosis and malaria. The early stage of breast cancer saves the life of millions of women's worldwide. The computer-aided diagnosis (CAD) of breast cancer detection is better effective tools. The performance of CAD based on the process of feature selection of breast imagery and applied algorithm for the detection and classification of symptoms. This paper proposed feature optimization-based breast cancer detection using a glowworm optimization algorithm. For the classification of cancer cell applied pulse coupled neural network model. The pulse coupled neural network model is an excellent advantage over the conventional neural network model. The proposed algorithm test on MATLAB environments with the reputed dataset of breast cancer, CBIS-DDSM.
乳腺癌是世界范围内导致妇女死亡的主要疾病,其他疾病包括结核病和疟疾。乳腺癌的早期阶段挽救了全世界数百万妇女的生命。计算机辅助诊断(CAD)是乳腺癌检测较好的有效工具。基于乳腺图像特征选择过程的CAD性能,并应用算法对症状进行检测和分类。本文提出了基于特征优化的基于萤火虫优化算法的乳腺癌检测方法。应用脉冲耦合神经网络模型对癌细胞进行分类。与传统的神经网络模型相比,脉冲耦合神经网络模型具有显著的优越性。该算法在MATLAB环境下使用著名的乳腺癌数据集CBIS-DDSM进行了测试。
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引用次数: 0
An improved genetic clustering architecture for real-time satellite image segmentation 一种用于实时卫星图像分割的改进遗传聚类结构
Pub Date : 2021-01-08 DOI: 10.1109/ICATME50232.2021.9732768
Rahul Ratnakumar, S. Nanda
In the last decade, researchers have focused on the development of hardware architectures for several real-life applications including image segmentation. Accurate analysis of segmented high-resolution satellite image help in identifying flood, fire, cloud, snow, and other natural phenomenon. In this paper, an improved genetic clustering architecture is proposed by introducing innovative architectures for crossover and mutation modules. In this architecture, complexity is low due to the use of Manhattan distance instead of traditional Euclidean distance. Testing of the proposed architecture has been carried out on two satellite captured flood images of Myanmar, Burma 2015, and Chennai, India 2015. Both the satellite images have been successfully segmented and obtained satisfactory PSNR and SSIM values, with an improved power consumption of 31 mW and 191 MHz clock frequency. In comparison with state-of-art architectures, the proposed work delivers satisfactory results in terms of power reduction, clock period, design complexity and resource utilization.
在过去的十年中,研究人员一直致力于为包括图像分割在内的几种现实应用开发硬件架构。对高分辨率卫星图像进行精确的分割分析,有助于识别洪水、火灾、云、雪等自然现象。本文通过引入交叉和突变模块的创新结构,提出了一种改进的遗传聚类结构。在这个建筑中,由于使用曼哈顿距离而不是传统的欧几里得距离,复杂性很低。在2015年缅甸和2015年印度金奈的两张卫星捕获的洪水图像上对所提出的架构进行了测试。两幅卫星图像都被成功分割,获得了满意的PSNR和SSIM值,功耗提高到31 mW,时钟频率为191 MHz。与目前最先进的架构相比,所提出的工作在降低功耗、时钟周期、设计复杂性和资源利用率方面取得了令人满意的结果。
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引用次数: 1
Mathematical modeling of COVID-19 spread and stabilization in Madhya Pradesh, India: A fundamental approach 印度中央邦COVID-19传播和稳定的数学模型:一种基本方法
D. Kumar, Vikash Kumar, Vijay Panchore, Ravi Kumar Mandava, S. Sarangi
The present study was performed to model a COVID-19 spread and stabilization constraints for the regional people of Madhya Pradesh, India, at the mid-time of the lockdown period. A novel mathematical model was developed to predict the number of days required to break the virus spread chain based on the chain breaking concept of the virus carriers. This model has predicted the very accurate COVID-19 results at a mid-time of the lockdown period. Unfortunately, a good recovery rate was not achieved in Madhya Pradesh as expected by the model to stop the chain of virus spread. Thus, this novel model failed to predict the COVID-19 spread for a large duration. Nevertheless, this novel model has much potential to model the other parallel situations similar to COVID-19 spread.
本研究旨在模拟印度中央邦地区人民在封锁期间的COVID-19传播和稳定约束。基于病毒携带者的断链概念,建立了预测病毒传播链断裂所需天数的数学模型。该模型在封锁中期预测了非常准确的COVID-19结果。不幸的是,中央邦没有达到该模型所预期的阻断病毒传播链的良好回收率。因此,这个新模型在很长一段时间内未能预测COVID-19的传播。然而,这种新模型很有可能模拟类似于COVID-19传播的其他平行情况。
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引用次数: 1
Review of Image Based Concrete Crack Detection 基于图像的混凝土裂缝检测技术综述
Pub Date : 2021-01-08 DOI: 10.1109/ICATME50232.2021.9732725
Rishi Sharma, A. Potnis, Vijayshree Chourasia
Detection of cracks on concrete is very important for the renovation of concrete structures. Maximum area unit in the infrastructure has constituted of concrete. Moreover, minute cracks which give impression of being trivial expand and eventually do uttermost deterioration in structure. However there are numerous difficulties in detection of cracks through image for various reasons. Aforementioned point connects with the constructional robustness and soundness, for this reason it must be clear up timely to keep away further loss. It is interesting to locate even the minute fractures in concrete. Physical survey lacks impartiality within the significant investigation. This paper discusses the various research works on the detection of cracks through image. Correctness, exactness, retraction and F measure are key parameters to judge the authenticity of work.
混凝土裂缝的检测对混凝土结构的改造十分重要。基础设施的最大面积单元由混凝土构成。此外,微小的裂缝给人的印象是微不足道的扩大,最终造成结构的彻底恶化。然而,由于各种原因,在图像中检测裂纹存在许多困难。上述问题关系到结构的稳健性和健全性,必须及时清理,以免造成进一步损失。即使是在混凝土中找到微小的裂缝也是很有趣的。物理调查在重大调查中缺乏公正性。本文讨论了通过图像检测裂纹的各种研究工作。正确性、精确性、可收回性和F度是判断作品真实性的关键参数。
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引用次数: 1
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2021 International Conference on Advances in Technology, Management & Education (ICATME)
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