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2020 9th International Conference System Modeling and Advancement in Research Trends (SMART)最新文献

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Augmenting Border Gateway Protocol with Multi-protocol Label Switching for Enhancing Network Path Restoration 基于多协议标签交换的边界网关协议增强网络路径恢复
Vidhu Baggan, P. Sarangi, D. Prasad, Jyoti Snehi
Network routing depends primarily on connectivity, which demands the insurance from protocol standards that even if one network path disconnects, the alternate path should be available in no time with minimum packet loss. The Network Path Restoration (NPR) mechanism is required after any link/node failure occurs in a network. These failures are frequent in core networks and must be handled in a quick and efficient manner with minimum packet loss. In this paper, it is proposed that augmenting Border Gateway Protocol (BGP) with Multiprotocol Label Switching (MPLS) technology can enhance the NPR mechanism with minimum packet loss. This research work made a significant contribution to NPR. In this study, hybridization of approaches have been performed to design a new mechanism for NPR.
网络路由主要依赖于连通性,这需要协议标准的保证,即即使一个网络路径断开,备用路径也应该在最短的时间内可用,并且数据包丢失最少。当网络中出现链路/节点故障时,需要网络路径恢复(Network Path Restoration, NPR)机制。此类故障在核心网中较为常见,需要快速有效地处理,尽量减少丢包。本文提出用MPLS (Multiprotocol Label Switching)技术对边界网关协议(Border Gateway Protocol, BGP)进行扩展,可以在最小丢包的情况下增强NPR机制。这项研究工作为国家公共电台做出了重大贡献。在这项研究中,杂交的方法已经进行了设计一个新的机制的NPR。
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引用次数: 2
Review Paper on Data Security in Cloud Computing Environment 云计算环境下的数据安全综述
B. Shirole, L. Vishwamitra
In today's scenario cloud computing in growing concept in the computer and information technology field for storing the data. Because on the physical storage device whatever the huge amount of data which is sensitive or confidential that cannot be stored. So the cloud computing comes into the picture for storing the data as per their requirement. But if we store the data on cloud it will be easily accessible to all and the confidentiality of that data is not maintained. So for that purpose we are going make the data on the cloud to be secure with the help of cryptography. In this Paper we talk about earlier work in this field of encryption algorithm and the key issues for encrypting the data and decoding the data in cloud environment and proposed the objectives for improving the encryption algorithm and key issues which would help to store the data in cloud environment securely and efficiently. The paper proposed the defined objectives for the secrecy of the data in the storage of cloud computing environment which is the main aspect of our paper.
在当今的场景中,云计算的概念在计算机和信息技术领域不断增长,用于存储数据。因为在物理存储设备上无论有多少敏感或机密的数据是无法存储的。因此,云计算可以根据他们的需求来存储数据。但是如果我们将数据存储在云上,那么所有人都可以很容易地访问这些数据,而这些数据的保密性就得不到维护。因此,为了达到这个目的,我们将在密码学的帮助下使云上的数据变得安全。本文介绍了加密算法领域的前期工作,以及云环境下数据加密和解码的关键问题,提出了改进加密算法的目标和关键问题,有助于数据安全高效地存储在云环境中。本文对云计算环境下存储数据的保密性提出了明确的目标,这是本文研究的主要方面。
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引用次数: 4
BER Analysis of Different Lattice Reduction Aided Multi User-Massive MIMO Detection Techniques 不同晶格约简辅助多用户海量MIMO检测技术的误码率分析
Annu Singh, S. Joshi
The escalating demand for higher data rate and to provide service to multiple users simultaneously has increased the challenge of efficient spectrum utilization. The two important technologies required in 5G is Mmwave and Massive MIMO to use the benefit of wider bandwidth of mmwave and to mitigate interference using Massive MIMO Technology. In this paper we compare the BER (Bit Error Rate) of different LR (Lattice Reduction) aided Massive MIMO detection technique at 28GHz frequency. We use the QR decomposition as a preprocessing step in the entire MIMO detector. LRA (Lattice Reduction Aided) detectors performance-complexity tradeoff factor δ, (δ=3/4). Scattering Channel Model is used with 100 numbers of scatterers. We employ the different MIMO configuration, modulation techniques, multiple number of users, single and multiple data stream per user to compare and analyze the BER (Bit Error Rate) results. The results are analyzed for Brun's algorithm, Lenstra Lenstra Lovasz (LLL) algorithm, Complex LLL(CLLL) algorithm, Fixed Complexity LLL (fc-LLL) Algorithm, Efficient LLL(ELLL) Algorithm, Possible Swap LLL Algorithm (PSLLL), Greedy LLL algorithm, and LLL-MMSE algorithm.
对更高数据速率和同时向多用户提供服务的需求日益增长,对频谱的高效利用提出了挑战。5G所需的两项重要技术是毫米波和大规模MIMO,以利用毫米波更宽的带宽优势,并使用大规模MIMO技术减轻干扰。本文比较了28GHz频率下不同的LR (Lattice Reduction)辅助大规模MIMO检测技术的误码率(BER)。我们将QR分解作为整个MIMO检测器的预处理步骤。LRA (Lattice Reduction Aided)探测器性能复杂度权衡因子δ, (δ=3/4)。散射通道模型采用100个散射体。我们采用不同的MIMO配置、调制技术、多个用户数量、每个用户的单数据流和多个数据流来比较和分析误码率(BER)结果。对brown算法、Lenstra Lenstra Lovasz (LLL)算法、Complex LLL(CLLL)算法、Fixed Complexity LLL(fc-LLL)算法、Efficient LLL(ell)算法、Possible Swap LLL算法(PSLLL)、Greedy LLL算法和ll - mmse算法进行了分析。
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引用次数: 0
Flaws and Amendment in an ECC-based Authentication Scheme for SIP 基于ecc的SIP认证方案的缺陷与改进
M. Gupta, Rahul Kumar, S. Kumari
In this paper, we study the pitfalls of Qiu et al.'s protocol proposed for session initiation protocol and also suggest amendment in it. We reveal that their protocol has a mistake in the mechanism of establishing the session key between the user and the server. Because of this, their protocol cannot achieve mutual authentication. The scheme also suffers from a replay attack. To recover these problems in their protocol, we propose an amended protocol to provide better security and achieve mutual authentication. The informal security analysis shows the superiority of the improved protocol over Qiu et al.'s protocol.
本文研究了Qiu等人在会话发起协议中提出的协议存在的缺陷,并对其进行了修正。我们发现他们的协议在用户和服务器之间建立会话密钥的机制上有一个错误。因此,他们的协议无法实现相互认证。该方案还遭受重放攻击。为了解决这些问题,我们提出了一个改进的协议,以提供更好的安全性和实现相互认证。非正式安全性分析表明,改进后的协议优于Qiu等人的协议。
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引用次数: 0
Comparative Analysis of Reconfigurable Low Pass Filter using Biquad Active, Ladder Gm-C and Multiple Loop Feedback Techniques 双源、梯形Gm-C和多环反馈可重构低通滤波器的比较分析
Nupur Mittal, Imran Khan, S. Shukla
An important concern for LPF with switchable attributes at baseband is to select a appropriate filter structure. Among the different approaches three approaches are prominently used named LC ladder simulation biquad cascade and multiple loop feedback (MLF). This study aimed at comparative analysis of three different low pass filter approaches. The filters are realized using Biquad Technique, ladder technique and MLF approach. Simulations are done using different CMOS technology. In this paper a comparison is made using different parameters. In general, the results prove that a good agreement between all the three approaches usng SPICE simulations.
对于基带可切换属性的LPF来说,一个重要的问题是选择合适的滤波器结构。在不同的方法中,有三种方法被突出使用,即LC阶梯仿真、双级联和多环路反馈(MLF)。本研究旨在对比分析三种不同的低通滤波方法。滤波器采用双单元技术、阶梯技术和MLF方法实现。采用不同的CMOS技术进行了仿真。本文采用不同的参数进行了比较。总的来说,SPICE模拟结果证明了三种方法之间的良好一致性。
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引用次数: 1
A Fuzzy Based Decision Support System for Irrigation Process in Precision Agriculture 基于模糊的精准农业灌溉过程决策支持系统
A. Agarwal, Y. Arya, Gaurav Agarwal, S. Agarwal, K. K. Gola
Productivity level has been no doubt increased in every field, let it be agriculture. New technologies have replaced traditional work culture. But still a lot of work is left in order to perform precision agriculture, which means more production using less products or manpower. Many researchers have proposed many decision support systems to achieve this target. These automatic agricultural decision-making systems improve the decision making of farmers and also will manage and maintain the agricultural field in a better way. In this paper, we have proposed a Decision support system for the irrigation process in order to make precision agriculture. The system takes values from sensors and deals with parameters like temperature, humidity, PH value etc. We have used a fuzzy controller and implementation is performed on Matlab.
毫无疑问,各个领域的生产力水平都提高了,农业也不例外。新技术已经取代了传统的工作文化。但要实现精准农业还有很多工作要做,这意味着用更少的产品或人力生产更多的产品。许多研究人员提出了许多决策支持系统来实现这一目标。这些自动化农业决策系统提高了农民的决策能力,也将更好地管理和维护农业领域。本文提出了一种灌溉过程决策支持系统,以实现精准农业。该系统从传感器获取值,并处理温度、湿度、PH值等参数。我们使用了一个模糊控制器,并在Matlab上进行了实现。
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引用次数: 1
Designing of Photovoltaic Cell Based Modified Impedance (Z)-Source Integrated Electric Vehicle DC Charger/ Inverter 基于光伏电池的改进阻抗(Z)源集成电动车直流充电器/逆变器设计
Shital D. Kadam, V. Panchade
Solar or PV cell based energy has been the most well-known wellsprings of sustainable power source for private and business applications. Variances of sunlight based vitality reaped because of barometrical conditions can be moderated through vitality stockpiling frameworks. Sun oriented vitality can likewise be utilized to charge the batteries of electric vehicle (EV) to diminish the reliance on the AC network. One of the converter used for PV cell based applications is to have a minimum number of changes organizes and give segregation. Impedance (Z) -source inverter topology can evacuate numerous stages and accomplish voltage lift and DC-AC power converter in a solitary stage. The utilization of uninvolved parts likewise displays a chance to incorporate vitality stockpiling frameworks (ESS) into them. This suggested paper presents displaying, plan and activity of an adjusted Modified Z-source inverter incorporated with a split essential confined battery charger for charging of electric vehicles (EV).
以太阳能或光伏电池为基础的能源已经成为私人和商业应用中最著名的可持续能源来源。由于大气条件而获得的基于阳光的活力的差异可以通过活力储存框架加以调节。以太阳为导向的活力也可以用来给电动汽车(EV)的电池充电,以减少对交流网络的依赖。用于基于光伏电池的应用的转换器之一是具有最小数量的变化组织并给出隔离。阻抗(Z)源逆变器拓扑结构可以疏散多个级,实现单级升压和直流-交流功率转换。对不相关部分的使用也显示了将活力储存框架(ESS)纳入其中的机会。本文介绍了一种可调整的改进型z源逆变器的展示、计划和活动,该逆变器结合了一种用于电动汽车充电的分体式基本限制电池充电器。
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引用次数: 0
A Review of Neuromarketing Techniques and Emotion Analysis Classifiers for Visual-Emotion Mining 面向视觉情感挖掘的神经营销技术和情感分析分类器综述
Rupali Gill, Jaiteg Singh
“People do well to express what they want, what they like, or how much they will pay for something. But they do not really know where that value comes from, or how and when it is influenced by such things as store demonstrations or products.” With the growing trend of studying consumer behavior, a study called neuro-marketing can be applied on previous findings related to neuroscience to get an idea of marketing strategies. To obtain feedback about a product from various e-commerce sites sentiment and opinion mining of neurons can be carried out. This helps a user to predict emotions, to extract opinions from the internet and predict customer's preferences by applying various neuromarketing techniques. The paper provides a review of various neuromarketing and emotion analysis techniques to study marketing behavior.
“人们善于表达自己想要什么、喜欢什么,或者愿意为某件东西付多少钱。但他们并不真正知道这种价值来自哪里,也不知道这种价值是如何以及何时受到商店展示或产品等因素的影响的。”随着研究消费者行为的趋势日益增长,一种叫做神经营销学的研究可以应用于之前与神经科学相关的研究结果,以获得营销策略的概念。为了从各个电子商务网站获取对某一产品的反馈,可以对神经元进行情感和意见挖掘。这有助于用户预测情绪,从互联网中提取意见,并通过应用各种神经营销技术预测客户的偏好。本文综述了研究营销行为的各种神经营销和情感分析技术。
{"title":"A Review of Neuromarketing Techniques and Emotion Analysis Classifiers for Visual-Emotion Mining","authors":"Rupali Gill, Jaiteg Singh","doi":"10.1109/SMART50582.2020.9337074","DOIUrl":"https://doi.org/10.1109/SMART50582.2020.9337074","url":null,"abstract":"“People do well to express what they want, what they like, or how much they will pay for something. But they do not really know where that value comes from, or how and when it is influenced by such things as store demonstrations or products.” With the growing trend of studying consumer behavior, a study called neuro-marketing can be applied on previous findings related to neuroscience to get an idea of marketing strategies. To obtain feedback about a product from various e-commerce sites sentiment and opinion mining of neurons can be carried out. This helps a user to predict emotions, to extract opinions from the internet and predict customer's preferences by applying various neuromarketing techniques. The paper provides a review of various neuromarketing and emotion analysis techniques to study marketing behavior.","PeriodicalId":129946,"journal":{"name":"2020 9th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"253 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121686972","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
The Effectual Real- Time Processing using Green Cloud Computing: A Brief Review 基于绿色云计算的有效实时处理技术综述
Himanshu Sharma, J. Singh
The performance in terms of energy efficient and low latency allocations of the cloud computing scenarios to reduce the failures of the processes is not an easy task. Many factors are needed to be considered. In cloud computing which is measure of data and communication knowledge that accomplished to achieve the effectual usage of assets and energy. The data centers in a static manner represent a massive proportion of the corporations' energy rate subsequently the procedure is uninterruptedly growing. Ever since this matter took communication, the number of inquiries on energy effectiveness and the green field has been increasing. Green cloud computing characterizes a clarification to allow corporations and users to practice the cloud and all its benefits while sinking the negative environmental effect and general costs over energy effectiveness, carbon track and e-waste lessening. Applications and performance to make firms more ecological strong are being established or arranged on a daily basis. Different characteristics are treated in establishments to accomplish green cloud computing. This paper put more light on different techniques to attain green computing and its efficiency in the real world.
从节能和低延迟分配的角度来看,云计算场景减少流程故障的性能并不是一项容易的任务。有许多因素需要考虑。在云计算中,这是对数据和通信知识的衡量,实现了资产和能源的有效利用。数据中心以静态的方式代表了公司能量率的很大一部分,随后该过程不断增长。自从这件事被传播以来,关于能效和绿色领域的咨询越来越多。绿色云计算的特点是一种澄清,允许企业和用户实践云计算及其所有好处,同时降低能源效率,碳跟踪和电子废物减少的负面环境影响和一般成本。增强企业生态实力的应用程序和绩效每天都在建立或安排。在机构中处理不同的特征来实现绿色云计算。本文介绍了实现绿色计算的不同技术及其在现实世界中的效率。
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引用次数: 0
Juxtapose of Sentiment Cognized Deep Learning Approach for Sham Percipience on Social Media 面向社交媒体虚假感知的情感认知深度学习方法并置
N. S. Devi, K. Sharmila
Online news in social networks disseminate with rapidness, and the verity of such news remains to be a domain to be indagated with meticulousness. Web and the articulations on internet itself have proved to be the breeding grounds for spreading a fake news that could mislead the readers. While some may be frivolous, certain others have caused alarming vandalism in a precarious manner. Therefore, detection of fake news is becoming an inevitable process to be established, and unsheathes widespread suggestion and responsiveness from sectors where one thinks it is least expected from. The previous work apropos to this area of scrutinization had pivoted on the sentiment cognized sham percipience which as more bump on the fallacious article prediction where some of the work engrossed on the source of article and the elegance of writing the article which will not precise the fallacious of the article. However this paper focuses on the analysis of identifying and extracting the feigned features of the fabricated article, and determine the efficacious techniques used to approximate the characteristics to mitigate inter-dependability. Thus, producing bankable results that eliminate the reliance of attributes on the fallacious news. The comparison of the simulation outcomes evince that the generalized approximation of the contrived sham is notably appreciable through the sentiment cognizance deep learning methodology. The fallacious articulations are also scrutinized further using the VADER (Valence Aware Dictionary and sentiment Reasoner) tool to obtain more precise results. The simulations are carried out successfully, and the results have been obtained that lucidly depict that this process can be applied to divulge the authenticity of an article.
社交网络上的网络新闻传播迅速,新闻的真实性仍然是一个需要细致衡量的领域。事实证明,网络和互联网上的言论本身就是传播虚假新闻的温床,可能会误导读者。虽然有些人可能是轻浮的,但有些人却以危险的方式造成了令人震惊的破坏行为。因此,假新闻的检测正在成为一个不可避免的建立过程,并从人们认为最不期望的部门中释放出广泛的建议和回应。先前关于这一审查领域的工作主要集中在情感认知的虚假感知上,这更多地影响了文章的谬误预测,其中一些工作集中在文章的来源和写作的优雅上,这不会精确地判断文章的谬误。然而,本文重点分析了制造物品的伪造特征的识别和提取,并确定了用于近似特征以减轻相互依赖性的有效技术。因此,产生可靠的结果,消除对虚假新闻属性的依赖。仿真结果的比较表明,通过情感认知深度学习方法,对人工假动作的广义近似是显著的。还使用VADER (Valence Aware Dictionary and sentiment Reasoner)工具进一步仔细检查错误的发音,以获得更精确的结果。仿真结果表明,该方法可用于商品真伪鉴别。
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引用次数: 0
期刊
2020 9th International Conference System Modeling and Advancement in Research Trends (SMART)
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