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2022 5th International Conference on Advances in Science and Technology (ICAST)最新文献

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Finger Motion Controlled Biomedical Wheelchair 手指运动控制的生物医学轮椅
Pub Date : 2022-12-02 DOI: 10.1109/ICAST55766.2022.10039595
Samruddhi Pawar, Shyamkumar Pandey, Suyog Kedar, Mayuresh S. Jadhav, Shridhar Sahu
The Wheelchairs have provided good assistance for the people who are suffering from disabilities. As a lot of disabled people require access to a wheelchair controlled by themselves, the proposed prototype is of great importance. Recent advancements in wheelchair systems includes innovative ways of controlling the wheelchair and at the same time making it affordable to the user. The motive of this project is to provide the user complete control of the wheelchair with the help of finger motion. Flex sensors take input from the user in the form of finger motion and they drive the motor, which helps the wheels to move in the required direction. Also this system consists of different health monitoring parameters and wireless charging with emergency buzzer.
轮椅为残疾人提供了很好的帮助。由于许多残疾人需要使用自己控制的轮椅,因此提出的原型具有重要意义。轮椅系统的最新进展包括控制轮椅的创新方法,同时使用户负担得起。这个项目的动机是让使用者通过手指运动来完全控制轮椅。Flex传感器以手指运动的形式接收用户的输入,并驱动电机,从而帮助车轮朝着所需的方向移动。该系统还包括不同的健康监测参数和带应急蜂鸣器的无线充电。
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引用次数: 1
Program Comittee 项目评标委员会
Pub Date : 2022-12-02 DOI: 10.1109/whispers.2009.5289101
Andrew P. Arana
 The emergence of symbolic algebra  Views on symbolism in seventeenth-century philosophy  Reasoning with symbolic representations of natural phenomena  The role of diagrams and illustrations in early modern science  Semiotic and model-based approaches to symbolic representations  Mathesis Universalis and Characteristica Universalis  Cross-cultural studies on the use of symbols in the mathematical practice DESCARTES’ SINGLE MOTION CRITERION FOR GEOMETRICITY
·符号代数的出现·17世纪哲学中的符号观·用自然现象的符号表示进行推理·图表和插图在早期现代科学中的作用·符号表示的符号学和基于模型的方法·普遍数学和普遍特征·数学实践中符号使用的跨文化研究笛卡尔的几何性单一运动准则
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引用次数: 0
Philomath: Intelligent Tutoring System for Mathematics Philomath:智能数学辅导系统
Pub Date : 2022-12-02 DOI: 10.1109/ICAST55766.2022.10039623
Shruti Solani, Bhavya Thakkar, R. Shah, Neha Katre
Mathematics is all around us and helps us understand real world problems and to figure out their solutions. Mathematics makes life orderly and prevents chaos. Many students find fractions and algebra to be challenging and perplexing, yet as students get older, they will need to be able to understand these concepts. Fractions are significant since they allow one to express how much of an entire, they would like. Algebra is the foundation of other subjects like geometry, trigonometry, calculus, chemistry, etc. Students find algebra easy in the beginning but as equations get more complicated, they start struggling in solving questions. Thus, it is very important to have a strong foundation in these basic mathematical concepts. There are a few commercial tools available to assist students in learning mathematics but most of them are paid or do not provide sufficient practice. Keeping in mind all these aspects, it was decided to develop an intelligent tutor, which will help users in practicing mathematics. If the user requests it, the tutor will also give hints while working on the tasks, as well as feedback when an attempt is unsuccessful.
数学无处不在,它帮助我们理解现实世界中的问题,并找出解决方案。数学使生活有序,防止混乱。许多学生发现分数和代数是具有挑战性和令人困惑的,但随着学生年龄的增长,他们将需要能够理解这些概念。分数是重要的,因为它允许人们表达他们想要的整体的多少。代数是其他学科如几何、三角、微积分、化学等的基础。学生们一开始觉得代数很简单,但随着方程变得越来越复杂,他们开始在解题时遇到困难。因此,在这些基本的数学概念上有一个坚实的基础是非常重要的。有一些商业工具可以帮助学生学习数学,但大多数都是付费的,或者不能提供足够的练习。考虑到所有这些方面,我们决定开发一个智能家教,它将帮助用户练习数学。如果用户提出要求,导师也会在完成任务时给出提示,并在尝试失败时给出反馈。
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引用次数: 0
A SMART IOT and CLOUD based Food Monitoring System- Review 基于物联网和云的智能食品监控系统-综述
Pub Date : 2022-12-02 DOI: 10.1109/ICAST55766.2022.10039510
Aryan Suryavanshi, Rishikesh Thakker, Harshad Waghela, Pradnya Kamble
Food handling and cleanliness are among the vital worries to forestall the wastage of food. In any case, for absence of innovation and obliviousness about the impacts of mugginess, temperature, openness to light and liquor content on food sources, sanitation isn't kept up with all around ok. This has prompted gigantic misfortunes in numerous food stores coming about because of food rot. At present, larger part of food stores distribution centers actually depend on manual checking of the environmental elements connected with food quality. These regular food investigation innovations are restricted to weight, volume, variety and perspective examination and thus don't give a ton of data required on nature of food. The possibility of the food should be seen and it should be kept away from destroying and ruining by the normal variables like temperature, steadiness. This experience is rotated around such a food checking framework which proposes deliberate utilization of different sensors to perform quality seeing and control of food materials. Much more totally, this framework contains gas, temperature, light and steadiness sensors, which give the critical data expected to looking over the possibility of spoiled food. This data is passed from a distance on to a PC framework giving an affiliation point where the client can see the improvement of the thing quality for quite a while utilizing the Catch of Things advancement. Sometime later, the normal variables can be controlled like by refrigeration, vacuum limit and other fitting control measure
食物的处理和清洁是防止食物浪费的重要问题。无论如何,由于缺乏创新和对闷热、温度、光照和酒含量对食物来源的影响的遗忘,卫生设施没有跟上。这使得许多食品店因为食品腐烂而发生了巨大的灾难。目前,大部分食品店配送中心实际上依赖于人工检查与食品质量有关的环境因素。这些常规的食品调查创新仅限于重量,体积,种类和角度检查,因此不能提供大量关于食品性质所需的数据。应该看到食物的可能性,应该通过温度,稳定性等正常变量来防止食物被破坏和破坏。这种体验围绕着这样一个食品检查框架进行旋转,该框架建议有意识地利用不同的传感器来执行食品材料的质量观察和控制。更完整的是,这个框架包含气体、温度、光线和稳定性传感器,这些传感器提供了检查食物变质可能性所需的关键数据。这些数据从远处传递到PC框架上,提供一个从属点,客户端可以在相当长的一段时间内看到使用Catch of Things进步的东西质量的改进。一段时间后,可以通过制冷、真空限制等适当的控制措施来控制正常变量
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引用次数: 1
Quantitative and Causal Analysis of Techniques of Microsoft Power BI File Optimisation Microsoft Power BI文件优化技术的定量与原因分析
Pub Date : 2022-12-02 DOI: 10.1109/ICAST55766.2022.10039578
Ronil Khalwadekar, U. Gogate
Microsoft Power BI is a self-service data analysis tool primarily focusing in the domain of business intelligence. Optimization involves making alterations to the current state of the data model so that it runs more efficiently and is essentially required for better performance. This paper will focus upon the application of multiple Microsoft Power BI optimization techniques on a significantly large sized Power BI file and perform a quantitative analysis of these techniques. This paper will also focus upon the causal analysis of the outcomes of these techniques to understand the underlying reasons for such file size reductions. The possible variations in results in different situations are also considered in this paper.
Microsoft Power BI是一个自助服务数据分析工具,主要专注于商业智能领域。优化包括对数据模型的当前状态进行更改,以使其更有效地运行,这是提高性能所必需的。本文将重点介绍多种Microsoft Power BI优化技术在一个非常大的Power BI文件上的应用,并对这些技术进行定量分析。本文还将着重对这些技术的结果进行因果分析,以了解此类文件大小减少的潜在原因。本文还考虑了在不同情况下结果可能出现的变化。
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引用次数: 1
Design of J Pole Antenna for GPS-based Radiosonde Receiver Station 基于gps的探空接收机J极天线设计
Pub Date : 2022-12-02 DOI: 10.1109/ICAST55766.2022.10039529
Pavan Jangam, Vidit Shah, Saakshi Motiwale, Umesh Shinde, K. Rathod, N. Vanjari
The proposed antenna is suitable for a GPS-based Radiosonde Receiver Station. The receiver station antenna system consists of two antennas (directional antenna and omnidirectional antenna). The objective of the proposed work is to design and develop a J-pole antenna for Meteorological Applications. The proposed antenna in this paper is suitable for such application as this antenna has an RLBW of 37 MHz (379 - 416 MHz, 9.181%). The range of the meteorological band is 400 MHz to 406 MHz. The sufficient gain of the J pole antenna and omnidirectional radiation characteristics makes this antenna suitable for meteorological application. The proposed antenna must be lightweight, inexpensive, portable, and robust so that it can survive under extreme conditions. The material used for designing this antenna is copper pipe having 5mm OD (Outer diameter) and 1mm thickness.
该天线适用于基于gps的无线电探空接收站。接收机天线系统由两个天线组成(定向天线和全向天线)。这项工作的目标是设计和发展一种气象应用的j极天线。该天线的RLBW为37 MHz (379 - 416 MHz, 9.181%),适合此类应用。气象波段的范围是400mhz到406mhz。J极天线具有足够的增益和全向辐射特性,适合气象应用。所提出的天线必须轻巧、廉价、便携和坚固,以便在极端条件下生存。本天线采用外径5mm,厚度1mm的铜管。
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引用次数: 0
Visual Question Answering System for Indian Regional Languages 印度地区语言视觉问答系统
Pub Date : 2022-12-02 DOI: 10.1109/ICAST55766.2022.10039528
Dhiraj Amin, S. Govilkar, Sagar Kulkarni
Questions are asked over the image within the Visual question answering system (VQAS). VQAS takes input as a user's natural language question and relative image. VQAS are mostly trained with a huge dataset with image, question and its correct answer. Many datasets like VQA, Visual7W and others have questions and answers over the image in English but there is scarcity of resources for many regional languages like Hindi and Marathi. In this paper we investigate different methods over the Hindi and Marathi version of the easy-VQA dataset.
问题是在视觉问答系统(VQAS)的图像上提出的。VQAS将输入作为用户的自然语言问题和相关图像。VQAS大多是用一个包含图像、问题和正确答案的庞大数据集来训练的。许多数据集,如VQA、Visual7W和其他数据集,都有英语图像的问题和答案,但许多地区语言(如印地语和马拉地语)的资源缺乏。在本文中,我们对easy-VQA数据集的印地语和马拉地语版本研究了不同的方法。
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引用次数: 0
A Sliding Window Blockchain Architecture for the Internet of Things 面向物联网的滑动窗口区块链架构
Pub Date : 2022-12-02 DOI: 10.1109/ICAST55766.2022.10039664
Shelke Kavita, Dakshayani G
The Internet of Things is a concept that allows people to connect to the Internet and access services through new, unconventional computing and communication practices. But there are two issues in the Internet of Things. These are security and data protection. Due to the limited processor, storage, and energy resources of IoT devices existing security frameworks are unable to meet the essential security requirements. Centralized security is not good for IoT as they tend towards a single point of failure and are more expensive for protecting centralized resources against attacks. Therefore, decentralized IoT security must be adapted. Blockchain is a a decentralised security system that can be used to secure many different things. Blockchain is not currently appropriate technology for IoT because it is too complicated and poorly scalable. This paper shows research on and implementation of Sliding Window Blockchain (SWBC), a conventional blockchain architecture used in Internet of Things applications. SWBC's performance is computed using live data which is supplied by a smart home testbed.
物联网是一个概念,它允许人们通过新的、非常规的计算和通信实践连接到互联网并访问服务。但是物联网有两个问题。这些是安全和数据保护。由于物联网设备的处理器、存储和能源资源有限,现有的安全框架无法满足基本的安全需求。集中式安全对物联网来说并不好,因为它们倾向于单点故障,并且保护集中式资源免受攻击的成本更高。因此,必须适应分散的物联网安全。区块链是一个分散的安全系统,可以用来保护许多不同的东西。区块链目前不适合物联网技术,因为它太复杂,可扩展性差。本文展示了滑动窗口区块链(SWBC)的研究和实现,这是一种用于物联网应用的传统区块链架构。SWBC的性能是使用智能家居试验台提供的实时数据计算的。
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引用次数: 0
Systematic Literature Review on Crop Yield Prediction using Machine & Deep Learning Algorithm 基于机器和深度学习算法的作物产量预测系统文献综述
Pub Date : 2022-12-02 DOI: 10.1109/ICAST55766.2022.10039620
U. Dewangan, R. .. Talwekar, S. Bera
Machine learning is an essential tool for predicting agricultural production since it can forecast crop yield based on variables like location, weather, season etc. The research on crop yield prediction has been supported by the application of several machine/deep learning techniques. In order to extract and synthesize the techniques and features that have been employed in crop yield prediction research, we conducted a Systematic Literature Review (SLR) for this work. According to our observations, Artificial Neural Network (ANN) and Random Forest is the most popular algorithm, which also gives the best performance in terms of Accuracy & Root Mean Square Error (RMSE). Lack of a large training dataset, which increases the possibility of overfitting and, ultimately, lower model performance in reality, is one of the biggest obstacles.
机器学习是预测农业生产的重要工具,因为它可以根据位置、天气、季节等变量预测作物产量。农作物产量预测的研究得到了多种机器/深度学习技术的应用支持。为了提取和综合作物产量预测研究中应用的技术和特征,我们对相关工作进行了系统文献综述(SLR)。根据我们的观察,人工神经网络(ANN)和随机森林(Random Forest)是最流行的算法,它们在准确率和均方根误差(RMSE)方面也有最好的表现。缺乏大型训练数据集是最大的障碍之一,这增加了过度拟合的可能性,最终降低了现实中的模型性能。
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引用次数: 1
English to Marathi Machine Translation Linguistic Divergence Using ANN 基于人工神经网络的英语马拉地语机器翻译
Pub Date : 2022-12-02 DOI: 10.1109/ICAST55766.2022.10039567
S. Maniyar, S. Kulkarni
The field of machine translation is included in Natural Language Procession. The development of MT system Marathi to English language is much more challenging task because of linguistic divergences. The most significant aspect of MT is that it maximizes meaning, such that understanding the output requires the least amount of effort and time. In machine translation different Types of Technique Available but as per Literature review Neural Machine Translation gives the Best results. In This paper focus on three types of divergences and also Artificial Neural Network techniqueMachine translation's major problem of divergence has led to the development of neural machine translation (NMT), a different strategy to address the same problemIn this study, used a neural machine translation technique to construct a separate module. Here create thematic divergence module, Categorical divergence module and structural divergence module with 66.67 %, 71.43 %, and 51.25 % accuracy and Calculated BLEU score.
机器翻译是自然语言处理的一个研究领域。由于语言的差异,马拉地语到英语的机器翻译系统的开发是一项更具挑战性的任务。机器翻译最重要的方面是它最大化了意义,这样理解输出需要最少的精力和时间。在机器翻译中,不同类型的技术可用,但根据文献综述,神经机器翻译给出了最好的结果。机器翻译的主要问题分歧导致了神经机器翻译(NMT)的发展,这是一种不同的策略来解决同样的问题。在本研究中,使用神经机器翻译技术来构建一个单独的模块。在此基础上分别构建了准确率分别为66.67%、71.43%和51.25%的主题发散模块、分类发散模块和结构发散模块,并计算出BLEU评分。
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引用次数: 0
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2022 5th International Conference on Advances in Science and Technology (ICAST)
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