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2020 International Conference on System, Computation, Automation and Networking (ICSCAN)最新文献

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Smart Luggage Carrier system with Theft Prevention and Real Time TrackingUsing Nano Arduino structure 基于纳米Arduino结构的防盗实时跟踪智能行李架系统
Pub Date : 2020-07-03 DOI: 10.1109/ICSCAN49426.2020.9262445
P.L.Santhana Krishnan, R. Valli, R. Priya, V. Pravinkumar
Travelling has become one of the most important aspects of human life. In general, the travel bags or luggage carrier systems used by the public were very conventional, which requires a huge human effort with security. In these days, development of electronics reduces the effect on physical work and to tie up between the machine and man which makes the smarter work. The advancements in electronics system can be extended to design a better safe and secure luggage carrier system which leads to reduce the human effort and assures a comfortable hand free journey to the peoples. Our proposed Automated Luggage carrier system is essentially like an electronic porter that follows the operator around wherever he/she goes. It is a hands free load carrying propulsion system that maintains a safe following distance behind the user. Privacy of the luggage bag can be ensured by owner's identity. Location of the system can be tracked using GPS and GSM.A wireless controlled watch is designed as a control element. The traveler will wear the watch to give commands to the luggage system for following him/her.
旅行已经成为人类生活中最重要的方面之一。一般来说,公众使用的旅行袋或行李架系统是非常传统的,这需要大量的人力在安全方面付出努力。如今,电子技术的发展减少了对体力劳动的影响,把机器和人联系在一起,使工作更智能。电子系统的进步可以延伸到设计一个更好的安全可靠的行李架系统,从而减少人力的努力,并确保一个舒适的免提旅行的人。我们提出的自动行李搬运系统本质上就像一个电子搬运工,无论操作员走到哪里,都跟着他/她。这是一种无需手动负载的推进系统,可以保持用户身后的安全跟随距离。箱包的私密性可以通过主人的身份来保证。系统的位置可以通过GPS和GSM进行跟踪。设计了一种无线控制手表作为控制元件。旅行者将戴上手表,命令行李系统跟随他/她。
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引用次数: 0
Interactive ATM For Visually Challenged 为视障人士设计的交互式ATM机
Pub Date : 2020-07-03 DOI: 10.1109/ICSCAN49426.2020.9262423
P. Raja, A. Thivya, C. Janani
In Digital India ATM is used for financial transactions namely deposits, withdrawals, transfer funds and also it provides multiple facilities such as pay income tax, apply for personal loan, pay insurance premium at anytime without the help of bank authorities. People uses smartcard method for access control in ATM. But, it's difficult to check third person using some other's card, as well smartcard may be theft, missing or duplicated. The debit card issued through bank is activated by insertion of earphone jack into the ATM slot and exit the card to end the transaction. Since, it's not easy for them to put in a headphone into the jack by identifying the slot and to position the device. To defeat these complications, a device is provided with presenter direction to attain the ATM and with an earpiece arrangement for contact. At beginning stage of this device an user can access the door by handprint authentication. In the second stage of security requires the voice code recognition which verifies the user's voice password with already taped code. When it matches correctly, the user is termed as a legal person.
在数字印度,ATM用于金融交易,即存款,取款,转账,还提供多种便利,如缴纳所得税,申请个人贷款,随时支付保险费,而无需银行当局的帮助。人们在ATM机中采用智能卡的方式进行门禁。但是,很难检查第三方使用他人卡,而且智能卡可能被盗,丢失或复制。通过银行发行的借记卡通过将耳机插孔插入ATM机插槽激活,并退出卡以结束交易。因为,他们不容易通过识别插槽和定位设备将耳机插入插孔。为了解决这些复杂问题,在设备上设置了显示者指示以达到ATM,并设置了耳机以进行接触。在这个设备的开始阶段,用户可以通过手印认证进入门。在第二阶段的安全要求语音代码识别,验证用户的语音密码与已录制的代码。当匹配正确时,用户被称为法人。
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引用次数: 0
Design of Nano Thermoelectric Generator for Wireless Nano-Sensor Network 无线纳米传感器网络中纳米热电发生器的设计
Pub Date : 2020-07-03 DOI: 10.1109/ICSCAN49426.2020.9262300
R. Poovendran, Sneha Nair, S. Shaguftha, R. Shanthini, R. Srilekha
This paper proposes a nano vitality collector dependent on temperature angle utilizing thermoelectric materials. A thermoelectric generator (TEG) produces electrical vitality from temperature contrast. Right now, the gadget is planned to fit as a fiddle for the simplicity of creation.nanoscale gadgets render assortment of ar WNSNs include nanosensors that are familiar with Nano The thermoelectric generator is a wellspring of a sustainable power source. It can change over warmth vitality to electrical vitality utilizing the Seebeck coefficient of the materials. There has been a quick headway in microelectronics which has made the nanotechnology huge and it has prodded the development of remote correspondence. For an occasion, nanosensors can distinguish any concoction organization in fixations as low as one section for every billion In this manner, in thought to the one of a kind qualities of nanosensors, it is impractical and infeasible to fuse any extra circuit in the equipment of nanosensors. Such a working situation of nanosensors gadgets makes an objective of vitality safeguarding because of constrained design battery assets inserted into it. transceiver and nanoantenna working at the Terahertz recurrence band (0.1-10THz). Up until now, analysts have concentrated on vitality productivity in WSNs however the vitality issue in WNSNs has not been tended to fundamentally in the current writing. The reenactment examination is acted in MATLAB Software to experimentally research the exhibition of proposed vitality adjusted bunching consolidating the proper ClusterHead (CH) determination. The fundamental extent of this structured gadget is to give the capacity to remote, biomedical and IoT sensors which devour less vitality to work. Reenactment of this examinationworkhasbeendone in COMSOL Multiphysics.
本文提出了一种基于温度角的热电材料纳米活力收集器。热电发电机(TEG)通过温度对比产生电活力。现在,这个小工具被设计成一个简单的小提琴。热电发电机是一种可持续能源的源泉。它可以利用材料的塞贝克系数将热活力转换为电活力。微电子技术的快速发展使得纳米技术的发展成为可能,并推动了远程通信技术的发展。例如,纳米传感器可以在低至十亿分之一的固定物中分辨出任何混合组织,因此,考虑到纳米传感器的独一无二的品质,在纳米传感器设备中融合任何额外的电路是不切实际和不可行的。纳米传感器器件的这种工作状态,由于其所插入的设计电池资产受到约束,其生命力保护成为了一个目标。收发器和纳米天线工作在太赫兹重复频带(0.1-10THz)。到目前为止,分析人员主要关注无线传感器网络的活力生产力,但目前的写作并没有从根本上关注无线传感器网络的活力问题。在MATLAB软件中进行了仿真测试,实验研究了所提出的活力调节聚束的表现,巩固了正确的簇头(CH)的确定。这种结构化设备的基本范围是为远程、生物医学和物联网传感器提供能力,这些传感器消耗的能量更少。在COMSOL Multiphysics中重现了这个考试工作。
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引用次数: 0
Smart College Chatbot using ML and Python 智能大学聊天机器人使用ML和Python
Pub Date : 2020-07-03 DOI: 10.1109/ICSCAN49426.2020.9262426
Hrushikesh Koundinya K, Ajay Krishna Palakurthi, Vaishnavi Putnala, Ashok Kumar K
The days of solely engaging with a service through a keyboard are over. Users interact with systems more and more through voice assistants and chatbots. A chatbot is a computer program that can converse with humans using Artificial Intelligence in messaging platforms. Every time the chatbot gets input from the user, it saves input and response which helps chatbot with little initial knowledge to evolve using gathered responses. With increased responses, precision of the chatbot also gets increases. The ultimate goal of this project is to add a chatbot feature and API for Matrusri Engineering College. This project will investigate how advancements in Artificial Intelligence and Machine Learning technology are being used to improve many services. Specifically it will look at development of chatbots as a channel for information distribution. The program selects the closest matching response from closest matching statement that matches input utilizing WordNet, it then chooses response from known selection of statements for that response. This project aimed to implement online chatbot system to assist users who access college website, using tools that expose Artificial Intelligence methods such as Natural Language Processing, allowing users to communicate with college chatbot using natural language input and to train chatbot using appropriate Machine Learning methods so it will be able to generate a response. There are numerous applications that are incorporating a human appearance and intending to simulate human dialog, yet in most part of the cases knowledge of chatbot is stored in a database created by a human expert.
仅仅通过键盘使用服务的日子已经结束了。用户越来越多地通过语音助手和聊天机器人与系统进行交互。聊天机器人是一种计算机程序,可以在信息平台上使用人工智能与人类交谈。每次聊天机器人从用户那里获得输入,它都会保存输入和响应,这有助于聊天机器人在初始知识很少的情况下使用收集到的响应进行进化。随着响应的增加,聊天机器人的精度也得到了提高。该项目的最终目标是为Matrusri工程学院添加聊天机器人功能和API。该项目将研究人工智能和机器学习技术的进步如何被用于改善许多服务。具体来说,它将把聊天机器人的发展作为信息分发的渠道。程序从使用WordNet的最接近匹配语句中选择最接近匹配的响应,然后从已知的语句选择中为该响应选择响应。本项目旨在实现在线聊天机器人系统,以帮助访问大学网站的用户,使用自然语言处理等人工智能方法的工具,允许用户使用自然语言输入与大学聊天机器人进行交流,并使用适当的机器学习方法训练聊天机器人,使其能够生成响应。有许多应用程序结合了人类的外观并打算模拟人类的对话,但在大多数情况下,聊天机器人的知识存储在由人类专家创建的数据库中。
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引用次数: 14
Experimental and Numerical Studies on Catalytic Converter to Reduce CO2 Emissions in IC Engines 催化转化器降低内燃机CO2排放的实验与数值研究
Pub Date : 2020-07-03 DOI: 10.1109/ICSCAN49426.2020.9262340
K. Muninathan, D. V. Prasanna, N. Gowtham, B. Paul, K. Vikneshpriya
In atmosphere the air contains 0.04 percentage of Carbon dioxide which plays an major role in maintaining optimal condition of earth by increasing photosynthesis in green plants and trees for their growth and other advantages like supplying oxygen and rainfall etc..., but in recent days due to the increasing in the percentage of carbon dioxide leads to major issues like global warming which leads to melting of glaciers and raising water level. The major amount nearly 85 percentage of carbon dioxide is released from the automobiles, which is causing adverse effect in atmosphere. The main purpose of this project is to do numerical analysis CFD for reducing the emission and controlling the emission of carbon dioxide from automobiles by methods of adsorption of carbon dioxide using activated charcoal (carbon) and alumina based adsorbents in petrol operated engines and comparing them with other. One of the best material for absorbing the CO2 is charcoal due to its high degree of porosity. When reacted with other reagents in order of activation, it increases its capacity of adsorption than that of ordinary charcoal. Similarly, Alumina is subjected to phase transformation to form γ Alumina to increase its porosity.
在大气中,空气中含有0.04%的二氧化碳,它通过增加绿色植物和树木的光合作用来维持地球的最佳状态,并为它们的生长提供氧气和降雨等其他优势。但最近几天,由于二氧化碳比例的增加,导致了全球变暖等重大问题,导致冰川融化和水位上升。近85%的二氧化碳是由汽车排放的,这对大气造成了不利影响。本项目的主要目的是通过对汽油发动机中活性炭和氧化铝吸附剂吸附二氧化碳的方法进行数值分析CFD,并与其他方法进行比较,以减少和控制汽车二氧化碳的排放。吸收二氧化碳的最佳材料之一是木炭,因为它的孔隙度很高。当与其他试剂按活化顺序反应时,其吸附能力比普通木炭大。同样,氧化铝经过相变形成γ氧化铝以增加其孔隙率。
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引用次数: 1
Analysis and Implementation of Digital Watermarking Using Spread Spectrum Method 扩频数字水印的分析与实现
Pub Date : 2020-07-03 DOI: 10.1109/ICSCAN49426.2020.9262285
M. Islam, Mohammad Anisul Hasan, S. M. Tanzibul Islam, Naeemul Islam, Md. Lokman Hossain
In this research paper, a new approach for digital watermarking using the spread spectrum method is proposed that can address the enduring issues faced with copyrighting digital data. Discrete Wavelet Transform (DWT) technique is applied to overcome the problems concerning authentication and protection of digital media. The aim is to hide the watermark image in the host image without affecting its robustness. After going through the implementation, the invisibility of the watermark image is almost 100%, and the robustness of the host image is around 80%, which is good enough to ensure the protection of contents from different attacks. This watermarking method will ensure the authentication of digital media, and it can be used for limiting usage control, content labeling to protect the ownership, and making an assertion about the owner.
本文提出了一种利用扩频方法进行数字水印的新方法,该方法可以解决数字数据版权保护面临的长期问题。采用离散小波变换(DWT)技术来解决数字媒体的认证和保护问题。目的是在不影响水印图像鲁棒性的前提下,将水印图像隐藏在宿主图像中。经过实现后,水印图像的不可见性几乎达到100%,主机图像的鲁棒性达到80%左右,足以保证内容不受不同攻击的保护。这种水印方法保证了数字媒体的身份验证,可以用于限制使用控制、内容标记保护所有权、对所有者进行断言等。
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引用次数: 0
Modeling of Loads Using PSAT in Voltage Stability for Six Bus System 基于PSAT的六母线系统电压稳定负荷建模
Pub Date : 2020-07-03 DOI: 10.1109/ICSCAN49426.2020.9262425
R. Suganya, R. Revathy, R. Priya
Voltage constancy lingers to be a regulating phenomenon in numerous power systems world-wide. When pooled with a incessant progress in load, the surplous of adequate and most favorable stationed procreation in synchronous with the bankruptcy to frame the first hand different transmission poise has facade copious systems to be susceptible to bearings of uncontainable system potentials. In its most rigid contour, voltage stableness can result in confined or regular spill system collapse. To accord with severe issue, many services have assigned the survey of voltage steadiness as a fundamental element in entity plan and processing. While passable mechanism of voltage stability scrutiny has risen in modernistic years and extensive tools have been refined, the concern of load modeling remains a protest. This paper involves modeling the different types of loads in order to predict the maximum deliverable power.
在世界范围内的许多电力系统中,电压恒常一直是一种调节现象。当与一个不断发展的负荷合用时,与破产框架同步的充足和最有利的驻扎繁殖的剩余不同的传输平衡具有立面丰富的系统易受无法控制的系统势能的影响。在其最严格的轮廓,电压稳定可能导致有限或规则溢出系统崩溃。针对严重的问题,许多服务机构都将电压稳定性调查作为实体计划和处理的基本要素。虽然在现代,电压稳定性审查的可行机制已经上升,并且广泛的工具已经完善,但对负载建模的关注仍然是一种抗议。本文对不同类型的负荷进行建模,以预测最大输出功率。
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引用次数: 0
Diagnosis of schizophrenic brain MRI images using Level- Set Evolution 水平集进化诊断精神分裂症脑MRI图像
Pub Date : 2020-07-03 DOI: 10.1109/ICSCAN49426.2020.9262316
Kowsalya N, Lavanya S, Sri Madhava Raja N, S. Padmapriya
Due to various reasons, most of the humans are suffering due to several brain disorders. If the brain illness is identified in the pre-mature level, it is possible to suggest treatment process to cure/control the disease/disorders. One of such disease is schizophrenia. It is a brain disorder which can affect the regular behaviour of a person. The symptoms of schizophrenia are problems with thought process, decision making and emotional instability. Signal (EEG) and images based techniques are used to identify the schizophrenia. The proposed work aims to detect schizophrenia using brain MRI images. The work executes a series of image processing techniques including pre-processing, segmentation and performance validation. The experimental results implies that, proposed method provides improved results on the MRI images.
由于各种原因,大多数人类都患有几种脑部疾病。如果大脑疾病在早熟阶段被发现,就有可能建议治疗过程来治愈/控制疾病/障碍。精神分裂症就是其中一种。这是一种大脑紊乱,会影响一个人的正常行为。精神分裂症的症状是思维过程、决策和情绪不稳定方面的问题。信号(脑电图)和基于图像的技术被用来识别精神分裂症。这项工作的目的是利用大脑核磁共振成像来检测精神分裂症。该工作执行了一系列的图像处理技术,包括预处理,分割和性能验证。实验结果表明,该方法对MRI图像有较好的处理效果。
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引用次数: 1
Image And Text Encrypted Data With Authorized Deduplication In Cloud 图像和文本加密数据与授权的重复数据删除在云
Pub Date : 2020-07-03 DOI: 10.1109/ICSCAN49426.2020.9262324
S. Uthayashangar, J. Abinaya, V. Harshini, R. Jayavardhani
In this paper, the role re-encryption is used to avoid the privacy data lekage and also to avoid the deduplication in a secure role re-encryption system(SRRS). And also it checks for the proof of ownership for to identify whether the user is authorized user or not. This is for the efficiency. Role re-encrytion method is to share the access key for the corresponding authorized user for accessing the particular file without the leakage of privacy data. In our project we are using both the avoidance of text and digital images. For example we have the personnal images in our mobile, handheld devices, and in the desktop etc., So, as these images have to keep secure and so we are using the encryption for to increase the high security. The text file also important for the users now-a-days. It has to keep secure in a cloud server. Digital images have to be protected over the communication, however generally personal identification details like copies of pan card, Passport, ATM, etc., to store on one's own pc. So, we are protecting the text file and image data for avoiding the duplication in our proposed system.
在安全的角色重加密系统(SRRS)中,使用角色重加密来避免隐私数据泄露和重复数据删除。它还检查所有权证明以确定用户是否是授权用户。这是为了提高效率。角色重加密方法是在不泄露隐私数据的情况下,为相应的授权用户共享访问密钥以访问特定文件。在我们的项目中,我们同时避免使用文本和数字图像。例如,我们的手机、手持设备和桌面等都有个人图像,因此,由于这些图像必须保持安全,因此我们使用加密来增加高安全性。如今,文本文件对用户来说也很重要。它必须在云服务器中保持安全。在通信过程中,数字图像必须受到保护,但一般来说,个人身份信息,如pan卡、护照、ATM等的副本,都要存储在自己的电脑上。因此,我们正在保护文本文件和图像数据,以避免在我们提出的系统中重复。
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引用次数: 0
Kidney Stone Detection Using Neural Networks 利用神经网络检测肾结石
Pub Date : 2020-07-03 DOI: 10.1109/ICSCAN49426.2020.9262335
M. Akshaya, R. Nithushaa, N. M. Raja, S. Padmapriya
Back Propagation Network is the most commonly used algorithm in training neural networks. It is employed in processing the image and data to implement an automated kidney stone classification. The conventional technique for medical resonance kidney images classification and stone detection is by human examination. This method is not accurate since it is impractical to handle large amount of data. Magnetic Resonance (MR) Images may inherently possess noise caused by operator errors. This causes earnest inaccuracies in classification features/ diseases in image processing. However, usage of artificial intelligent based methods along with neural networks and feature extraction has shown great potential in extracting the region of interest using back propagation network algorithm in this field. In this work, the Back Propagation Network was applied for the objective of kidney stone detection. Decision making is carried out in two stages: 1.Feature extraction 2.Image classification. The feature extraction is done using the principal component analysis and the image classification is done using Back Propagation Network (BPN). This work presents segmentation method using Fuzzy C-Mean (FCM) clustering algorithm. The performance of the BPN classifier was estimated in terms of training execution and classification accuracies. Back Propagation Network gives precise classification when compared to other methods based on neural networks.
反向传播网络是神经网络训练中最常用的算法。它被用于处理图像和数据,以实现自动肾结石分类。传统的医学磁共振肾图像分类和结石检测技术是通过人体检查。这种方法不准确,因为它不适合处理大量数据。磁共振(MR)图像可能固有地具有由操作员错误引起的噪声。这导致了图像处理中分类特征/疾病的严重不准确。然而,基于人工智能的方法以及神经网络和特征提取在该领域使用反向传播网络算法提取感兴趣区域方面显示出巨大的潜力。本研究将反向传播网络应用于肾结石的检测。决策分两个阶段进行:1。特征提取;图像分类。利用主成分分析进行特征提取,利用反向传播网络(BPN)进行图像分类。本文提出了基于模糊c均值(FCM)聚类算法的分割方法。从训练执行和分类准确率两方面对BPN分类器的性能进行了估计。与其他基于神经网络的分类方法相比,反向传播网络具有更精确的分类能力。
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引用次数: 8
期刊
2020 International Conference on System, Computation, Automation and Networking (ICSCAN)
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