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2022 2nd International Conference on Intelligent Technologies (CONIT)最新文献

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Defected Ground Structure Implementation for Slotted Annular Ring Microstrip Filtenna 开槽环形微带滤波器的缺陷接地结构实现
Pub Date : 2022-06-24 DOI: 10.1109/CONIT55038.2022.9847788
Kanimozhi. T, Sheeja K. Lalitha
In this paper., defected ground structure (DGS) implemented microstrip patch filtering antenna is presented. Here, slotted annular ring resonators along with strip which is capacitance loaded are used as a radiating element. To obtain the filtering characteristics., the presented patch antenna is incorporated with ring shaped DGS in the ground plane. The proposed filtenna resonates at 15.4GHz., which falls under Ku-band. The physical structural size of the proposed filtenna is 2.465AgX 1.667AgX 0.116Ag in terms of guided wavelength. The presented filtenna carries the bandwidth of 1580 MHz at 15.4GHz. The change in the width of the ring structure of the proposed DGS results in different resonating frequencies with different return losses. The presented filtenna structures are placed over FR4 substrate.
在本文中。提出了一种实现微带贴片滤波的缺陷地结构(DGS)天线。在这里,开槽环形谐振器连同电容负载的条带被用作辐射元件。获取滤波特性。所述贴片天线在地平面上加入环形DGS。该滤波器谐振频率为15.4GHz。,属于ku波段。该滤波器的物理结构尺寸为2.465AgX 1.667AgX 0.116Ag。该滤波器在15.4GHz时的带宽为1580 MHz。环形结构宽度的变化导致了不同的谐振频率和不同的回波损耗。所述滤波器结构放置在FR4基板上。
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引用次数: 0
Synthesis and Analysis of Cathode Material for Lithium Batteries: An Eagle Eye 锂电池正极材料的合成与分析:鹰眼
Pub Date : 2022-06-24 DOI: 10.1109/CONIT55038.2022.9847896
Swapnil V. Potdar, S. Kawar
Rechargeable batteries are the elements designed to hold the charge and produce the power when connected to the load. The batteries are manufactured using active materials like lead acid, nickel cadmium and various other materials. Such batteries when connected to the load, produces output power using electrochemical oxidation-reduction reaction process. The rechargeable batteries once connected to the load, discharges and then can be recharged again many times to hold the charge and use them in run time. In due course of time, to run the battery elements for longer duration of time, top notched researches are carried out. Through the present research paper, a detailed literature survey is carried out to demonstrate the diverse possibilities considered for prolonging the discharge of the rechargeable batteries.
可充电电池是设计用来保持充电并在连接到负载时产生电力的元件。这种电池是用活性材料制造的,比如铅酸、镍镉和各种其他材料。这种电池与负载连接时,利用电化学氧化还原反应过程产生输出功率。可充电电池一旦连接到负载上,放电,然后可以多次充电,以保持充电并在运行时使用它们。在适当的时候,为了延长电池元件的运行时间,开展了顶尖的研究。通过本研究论文,进行了详细的文献调查,以展示延长可充电电池放电的各种可能性。
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引用次数: 0
A Novel Analysis of Readability Indices of MOOC Transcripts for e-Learner Retainment 面向网络学习者留存的MOOC文本可读性指标分析
Pub Date : 2022-06-24 DOI: 10.1109/CONIT55038.2022.9847733
Hardik Pahuja, Jatinderkumar R. Saini, K. Kotecha, Rajnish M. Rakholia, Jinal Tailor
e-learning has become an important part of the education system. This is more so in wake of the COVID-19 pandemic. There are a wide range of e-learning platforms available online and offering courses ranging from beginner to advanced levels. Such courses are accessible to nearly everyone around the world who has access to the internet. The readers and learners look for engaging content which will enhance their knowledge and skills in the respective field through e-learning. In order to provide the learners with effective learning, the content should be readable and easy to understand. The motives of the present study are multifold. The presented results will be helpful to the designers as well as creators of e-learning courses in maximizing the learner's attention span, content comprehension, ease of understanding and engagement with the e-course. To the best of our knowledge, this is first formal attempt for the analysis of the transcripts of the e-learning courses. Technically, we deploy five readability indices namely Flesch Readability Index (FRI), Gunning Fog Index (GFI), Flesch-Kincaid Grade Level (FKGL), Coleman-Liau Index (CLI), and Automated Readability Index (ARI) for the study. The calculations have been additionally fortified using Term Frequency-Inverse Document Frequency (TF-IDF). More than 1200 transcripts have been analyzed and vital statistics presented. It is concluded that the transcripts for the beginners should have a word range of 600- 900 while that for the intermediate and advanced learners should have an optimum word count value of around 1050.
网络学习已经成为教育系统的重要组成部分。在2019冠状病毒病大流行之后更是如此。网上有各种各样的电子学习平台,提供从初级到高级的课程。世界上几乎所有能上网的人都能上这些课程。读者和学习者寻找吸引人的内容,这些内容将通过电子学习提高他们在各自领域的知识和技能。为了给学习者提供有效的学习,内容应该是易读易懂的。本研究的动机是多方面的。本文的研究结果将有助于电子学习课程的设计者和创建者最大限度地提高学习者的注意力广度、内容理解、理解的便利性和对电子课程的参与度。据我们所知,这是第一次正式尝试分析电子学习课程的成绩单。从技术上讲,我们采用了五个可读性指标,即Flesch可读性指数(FRI)、Gunning Fog指数(GFI)、Flesch- kincaid Grade Level (FKGL)、Coleman-Liau指数(CLI)和自动可读性指数(ARI)进行研究。使用术语频率-逆文档频率(TF-IDF)进一步加强了计算。已经分析了1200多个文本,并提供了重要统计数据。结果表明,初学汉语的文本字数应在600 ~ 900之间,中高级学习者的文本字数应在1050左右。
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引用次数: 0
Adaptive Backpropagation Algorithm for Clustered Indoor Motion Planning 聚类室内运动规划的自适应反向传播算法
Pub Date : 2022-06-24 DOI: 10.1109/CONIT55038.2022.9848410
K. Vennela, Balaji B, M. Chinnaiah, K. Srinivasarao
Grid based navigation is the simplest navigation methodology for unmanned ground vehicles (UGV) particularly for indoors. The grid map formation, grid cell occupancy, self-localization and avoiding obstacles in derived path are major considerations in navigation. This research work elaborate a new strategy of mobile robot navigation to goal point using an Adaptive Backpropagation tree based algorithm. For a confined stopping point like a charging station for an autonomous vehicles, this work provide minimal solution to reach that point. The path exploration begin from the stop point rather than the start point where robot is located. This backpropagation strategy implemented in real time scenario for its effectiveness. The simulation and experimental results gives the scope for robotic applications such as advance to stationary parking point or charging point.
基于网格的导航是无人地面车辆(UGV)最简单的导航方法,特别是在室内。网格地图的形成、网格单元的占用、自定位和在导出路径中避开障碍物是导航的主要考虑因素。本研究提出了一种基于自适应反向传播树算法的移动机器人目标点导航新策略。对于像自动驾驶汽车的充电站这样的受限停车点,这项工作提供了到达该点的最小解决方案。路径探索从停止点开始,而不是从机器人所在的起点开始。由于该反向传播策略的有效性,在实时场景中实现了该策略。仿真和实验结果为机器人推进到固定停车点或充电点等应用提供了空间。
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引用次数: 0
Design, Simulation and Analysis of Stepped Impedance Micro-Strip Low Pass Filter for 10GHz band 10GHz阶跃阻抗微带低通滤波器的设计、仿真与分析
Pub Date : 2022-06-24 DOI: 10.1109/CONIT55038.2022.9848198
Akshata Baloolad, R. Manjunath, Prince Kumar, S. Kareemulla, K. Sreelakshmi
RF (Radio frequency) Filters realized, based on printed circuit techniques are becoming more popular, due to their simplicity, compactness, ease of fabrication and low cost. However they have their own limitations with respect to the performance, like high insertion loss and low attenuation figures. In this paper a practical methodology for the design, simulation and analysis of a stepped impedance low pass filter, realized based on printed circuit technology for X band operation (10GHz) is presented. Higher stop band attenuation values warrants higher order filter (more number of sections). With the increase in frequency band more and more problems are encountered with regarded optimization of the frequency response of the filters. Many simulation iterations are required to achieve the desired results by striking a balance between the numbers of sections, pass band insertion loss, pass band ripple and stop band attenuation figures. This article presents different aspects to be considered for the realization of an X band stepped impedance Low pass filter (LPF) at 10 GHz band.
基于印刷电路技术实现的RF(射频)滤波器由于其简单、紧凑、易于制造和低成本而变得越来越流行。然而,它们在性能方面也有自己的局限性,比如高插入损耗和低衰减数字。本文提出了一种基于印刷电路技术实现的X波段(10GHz)阶跃阻抗低通滤波器的设计、仿真和分析的实用方法。更高的阻带衰减值保证更高阶的滤波器(更多的段数)。随着频带的增加,滤波器频率响应的优化问题也越来越多。通过在截面数、通带插入损耗、通带纹波和阻带衰减数字之间取得平衡,需要进行多次仿真迭代才能达到预期的结果。本文介绍了在10ghz频段实现X波段阶跃阻抗低通滤波器(LPF)需要考虑的不同方面。
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引用次数: 0
An E-store for Farmers Buying Seeds 农民购买种子的网上商店
Pub Date : 2022-06-24 DOI: 10.1109/CONIT55038.2022.9848390
Angela Infanta Ramesh, Ayush Raghuwanshi, Eshan Goel, Dakshayani G
One of the greatest emerging sectors in marketing which has expanded rapidly over the last decade is the E-Commerce platform that makes the process of purchasing products online quite convenient and easy for the end-users. Especially when it comes to the farmers who at times have to travel long distances to buy seeds and agricultural products in a traditional market scene only to be exploited and being taken advantage of by their unawareness about the actual seed/crop prices. With an E-Commerce site stepping up in this scenario, it not only reduces the time and efforts spent but also entrusts the crop/seed quality. Therefore, we aim to build a fully-fledged Electronic Commerce website for the farmers based on a Direct-to-Consumer marketing strategy where we aim to eliminate the need for retailers and have direct interaction with the customers without services being warped by the intermediaries. This would help the manufacturers to directly address the ‘pain points' of the farmers as well as reduce the prices of products as per their needs. This project also aims in building an aesthetic web application, specially designed for farmers by embedding customized recommendations for purchasing seeds and other customer services for easier communication with the manufacturers.
在过去十年中迅速扩张的市场营销中最大的新兴领域之一是电子商务平台,它使最终用户在网上购买产品的过程变得非常方便和容易。特别是对于农民来说,他们有时不得不长途跋涉,在传统的市场上购买种子和农产品,结果却被剥削,因为他们对种子/作物的实际价格一无所知。在这种情况下,电子商务网站的出现不仅减少了花费的时间和精力,而且还保证了作物/种子的质量。因此,我们的目标是基于直接面向消费者的营销策略,为农民建立一个成熟的电子商务网站,我们的目标是消除对零售商的需求,直接与客户互动,而不会被中介扭曲服务。这将有助于制造商直接解决农民的“痛点”,并根据他们的需求降低产品价格。该项目还旨在建立一个美观的web应用程序,专门为农民设计,通过嵌入定制的购买种子建议和其他客户服务,以便更容易与制造商沟通。
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引用次数: 0
Personal Aide Application Using A.I Techniques … ! 使用人工智能技术的个人助理应用程序…!
Pub Date : 2022-06-24 DOI: 10.1109/CONIT55038.2022.9848326
S. Sasikumar, S. Prabha, V. Adithya Sai, K.V. Mohan Reddy
Now a days Machine Learning Methods are doing an excellent job at analysing and preventing damage before it occurs., however the models developed are only intended to be used in the applications for which they were designed. We are attempting to build an application in order to tackle this issue by combining several models to work together. This is an application that seems to have forecasts about a disease based on symptoms., weather., and admission analysis by utilising a chatbot. To analyse and process user instructions NLP Techniques are used so that the given commands may provide the necessary result. The main goal is to combine multiple machine Learning models and develop a Chatbot that can access the properties of the combined model. We conducted a thorough review of recent literature in this work. We looked at a lot of papers over the previous years that were about chatbots. Then we discussed many relevant efforts as well as the AI ideas required to create an intelligent conversational agent based on Machine Learning and deep learning models. Finally., we provided a functional architecture for developing an intelligent chatbot for Personal Assistance.
现在,机器学习方法在分析和预防损害发生方面做得很好。但是,所开发的模型仅打算在为其设计的应用程序中使用。我们正在尝试构建一个应用程序,以便通过组合几个模型来一起工作来解决这个问题。这是一个基于症状预测疾病的应用程序。,天气。,以及利用聊天机器人进行录取分析。为了分析和处理用户指令,使用了自然语言处理技术,以便给定的命令可以提供必要的结果。主要目标是组合多个机器学习模型,并开发一个可以访问组合模型属性的聊天机器人。我们对这项工作的最新文献进行了全面的回顾。我们看了很多前几年关于聊天机器人的论文。然后我们讨论了许多相关的努力,以及基于机器学习和深度学习模型创建智能会话代理所需的人工智能思想。最后。,我们提供了一个用于开发个人助理智能聊天机器人的功能架构。
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引用次数: 0
Efficient Detection and Classification of PEST Using Image Thresholding and Edge Detection Technique 基于图像阈值和边缘检测技术的害虫检测与分类
Pub Date : 2022-06-24 DOI: 10.1109/CONIT55038.2022.9848294
T. Keerthi, Apurva Kumari, M. Chinnaiah, P. Asharani, D. Nikitha, C. Manojkumar
In these modern days many techniques have been developed to save agricultural fields, but the present scenario is mainly focusing on organic food products for a healthier life, so it is a challenging task to detect the pests for cultivating organic crops as well as inorganic crops. In this paper two approaches have been developed for detecting the pest, one approach is using thresholding and edge detection through image processing techniques, by utilizing thresholding the presence of pest is identified. It gives the range of pixels for the clear identification of the image. In our work we have considered an average value of 100 pixels. Using the technique of edge Detection, the outline of the pest is determined. The other approach is convolution neural network (CNN) which provides pest detection by three steps, firstly direct wavelet transform (DWT) next neural network detection last is area detection. By using these techniques pest detection is developed.
在这些现代社会,许多技术已经开发出来,以节省农业用地,但目前的情况主要集中在有机食品,以实现更健康的生活,因此对有机作物和无机作物的害虫检测是一项具有挑战性的任务。在本文中,已经开发了两种方法来检测害虫,一种方法是通过图像处理技术使用阈值和边缘检测,通过使用阈值来识别害虫的存在。它给出了清晰识别图像的像素范围。在我们的工作中,我们考虑了100像素的平均值。利用边缘检测技术,确定害虫的轮廓。另一种方法是卷积神经网络(CNN),该方法分三步进行害虫检测,首先是直接小波变换(DWT),然后是神经网络检测,最后是区域检测。利用这些技术,害虫检测得到了发展。
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引用次数: 0
A multi-stage multi-objective GWO based feature selection approach for multi-label text classification 一种基于多阶段多目标GWO的多标签文本分类特征选择方法
Pub Date : 2022-06-24 DOI: 10.1109/CONIT55038.2022.9847886
Pradip Dhal, Chandrashekhar Azad
In Information Retrieval (IR), Text Mining (TM), and web search, Multi-label Text Classification (MTC) plays an essential role. A document can fall into more than one category in MTC. Text documents frequently include High Dimensional (HD) non-discriminative (noisy and irrelevant) phrases, resulting in high computing costs and impoverish learning performance of Text Classification (TC). The Feature Selection (FS) procedure is complicated by three issues caused by small samples and HD datasets. First, given limited samples and HD, FS is unstable. Second, with HD, FS takes longer. Third, a particular FS approach may not provide enough Classification Accuracy (CA). In this paper, we have developed a two-stage FS approach based Meta-heuristics Algorithm (MA) for MTC. The first stage work on the filter-based FS approach, while the second stage is based on the multi-objective Grey Wolf Optimization (GWO) algorithm. The first objective is to diminish the Hamming Loss (HL), and the second objective is to decrease the Selected Features (SF). We have used the Multi-Layer Perceptron (MLP) model for the classification task. The experimental findings show that the suggested FS scheme achieves superior HL with a less number of features.
在信息检索(IR)、文本挖掘(TM)和web搜索中,多标签文本分类(MTC)起着至关重要的作用。在MTC中,一个文档可以属于多个类别。文本文档中经常包含高维(HD)非判别(有噪声和不相关)短语,导致文本分类(TC)的计算成本高,学习性能差。特征选择(FS)过程由于小样本和高清数据集导致的三个问题而复杂化。首先,考虑到有限的样本和HD, FS是不稳定的。其次,使用HD, FS需要更长的时间。第三,特定的FS方法可能无法提供足够的分类精度(CA)。在本文中,我们开发了一个基于两阶段FS方法的MTC元启发式算法(MA)。第一阶段采用基于滤波器的FS方法,第二阶段采用多目标灰狼优化算法。第一个目标是减少Hamming Loss (HL),第二个目标是减少Selected Features (SF)。我们使用多层感知器(MLP)模型进行分类任务。实验结果表明,所提出的FS方案以较少的特征数达到了较好的HL。
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引用次数: 1
Design and Analysis of Memristor-CMOS Based Hybrid D Latch 基于忆阻器- cmos的混合D锁存器设计与分析
Pub Date : 2022-06-24 DOI: 10.1109/CONIT55038.2022.9847980
Pranay Dhongade, Kunwar Singh, Shalini
The discovery of the memristor, also known as the fourth missing element after resistor, inductor and capacitor, has shown emerging growth in nanoscale devices. The properties of non-volatility, small size and low power will be a significant advantage in the upcoming generation of chip design. Flip-Flops are sequential circuits with applications like registers, counters, frequency dividers etc. They can be generated by cascading latch in a master-slave configuration. This paper proposes a design of a D latch cascaded in master-slave configuration for designing a D flip-flop. This paper also compares various methods for designing D latch using the memristor-CMOS hybrid technique and Memristor ratioed logic (MRL). All the simulations were performed on Cadence Virtuoso, VTEAM model for memristor and CMOS 90nm technological file were used.
忆阻器的发现,也被称为继电阻器、电感器和电容器之后的第四个缺失元件,显示了纳米级器件的新兴增长。非易失性、小尺寸和低功耗的特性将是下一代芯片设计的显著优势。触发器是具有寄存器、计数器、分频器等应用的顺序电路。它们可以通过主从配置中的级联锁存器生成。为了设计D触发器,本文提出了一种主从级联的D锁存器设计。本文还比较了采用忆阻器- cmos混合技术和忆阻器比例逻辑(MRL)设计D锁存器的各种方法。所有仿真均在Cadence Virtuoso上进行,采用VTEAM忆阻器模型和CMOS 90nm工艺文件。
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引用次数: 1
期刊
2022 2nd International Conference on Intelligent Technologies (CONIT)
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