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2019 International Conference on Advances in Computing and Communication Engineering (ICACCE)最新文献

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Quality of Service and Performance Evaluation of Proactive and Reactive Routing Protocols in MANET using Exata 5.1 使用Exata 5.1的MANET中主动和被动路由协议的服务质量和性能评估
Pub Date : 2019-04-01 DOI: 10.1109/ICACCE46606.2019.9079979
M. Pushpavalli, G. Janani
Mobile Adhoc Network is a self-configuring network in which the nodes can communicate with other node without getting help from the network infrastructure. For forwarding packets each node in the network can work both host and router. Various routing protocols like Dynamic Source Routing (DSR), Adhoc On demand Distance Vector, Destination Sequence Distance Vector (DSDV) and Routing Information Protocol (RIP) have been proposed. In this work the performance comparison of DSR and RIP routing protocols has been made by considering fault node and without fault node. The simulation is done to analyze different parameters of routing protocols like average delay, throughput, average jitter, number of packets enqueued and dequeued etc., using EXATA Network Simulator version 5.1.
移动自组织网络是一种自配置网络,在这种网络中,节点之间无需网络基础设施的帮助即可进行通信。为了转发报文,网络中的每个节点可以同时作为主机和路由器。各种路由协议如动态源路由(DSR)、Adhoc随需距离矢量、目的序列距离矢量(DSDV)和路由信息协议(RIP)已经被提出。本文通过考虑故障节点和无故障节点,对DSR和RIP路由协议的性能进行了比较。利用EXATA Network Simulator 5.1版本对路由协议的平均延迟、吞吐量、平均抖动、排队和退队数据包数等参数进行了仿真分析。
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引用次数: 0
Optimization of Design Parameters for Vertical Tunneling Based Dual Metal Dual Gate TFET 基于垂直隧道的双金属双栅TFET设计参数优化
Pub Date : 2019-04-01 DOI: 10.1109/ICACCE46606.2019.9079988
N. Paras, S. S. Chauhan
In this paper, an optimally designed vertical tunneling based dual metal dual gate tunnel field effect transistor (DMDG-VTFET) is presented. The design parameters are chosen so as to fulfill the high-performance ON-state current of 1.33 µA, low standby power OFF-state current nearly 50.5 aA and Subthreshold Swing (SS) of 11 mV/decade. Moreover, the proposed TFET follows the International Technology Roadmap for Semiconductors (ITRS) roadmap for low standby power switch performance as ON current/ OFF current ratio (Ion/ Ioff) of the order of 1012 is obtained. Such results are attributed to the dominant carrier tunneling of the device which is in line with the gate electric field. This suppressed the lateral tunneling path which was responsible for the depreciation of the subthreshold slope, thus resulting in a super-steep subthreshold slope. By selecting appropriate work function on tunnel gate and auxiliary gate; Ion, Ioff and threshold voltage VT are significantly improved. Impact of epitaxial region height, source, channel, drain and epitaxial region doping concentration, spacer and dielectric material on ambipolarity of the device is thoroughly studied.
本文提出了一种优化设计的基于垂直隧道的双金属双栅隧道场效应晶体管(DMDG-VTFET)。设计参数的选择是为了实现1.33µA的高性能导通电流、近50.5 aA的低待机功率关断电流和11 mV/ 10的亚阈值摆幅(SS)。此外,所提出的TFET遵循国际半导体技术路线图(ITRS)路线图,具有低待机电源开关性能,其ON电流/ OFF电流比(Ion/ Ioff)为1012数量级。这种结果是由于器件的主导载流子隧穿与栅电场一致。这抑制了导致阈下边坡贬值的侧向掘进路径,从而形成了超陡的阈下边坡。通过对隧道闸门和辅助闸门选择合适的工作功能;离子、截止电压和阈值电压VT明显提高。深入研究了外延区高度、源极、沟道、漏极和外延区掺杂浓度、间隔层和介电材料对器件双极性的影响。
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引用次数: 2
Machine Learning-Based Sentiment Analysis of Twitter Data 基于机器学习的Twitter数据情感分析
Pub Date : 2019-04-01 DOI: 10.1109/ICACCE46606.2019.9080003
K. M, S. G, Aravindhraj N, Priyanka S
In these recent days, evaluation and review marks a most important role in achieving the name for a brand or an item and its administration. The basic idea behind this assessment and audit is to make the brands to be familiar with customers which empower the variety of utilization. Twitter data is used for testing the above scenario due its ample size and scattered behavior. This paper performs the hypothesis investigation about the individual's feelings depending on the collected data. The motive behind the proposed work is to assess many individual's positive view and negative view based on the content audit using the surveys from the twitter. The twitter data is estimated by applying different weighting schemes to improve the classifier accuracy.
在最近的日子里,评价和审查标志在实现品牌或项目的名称及其管理中发挥着最重要的作用。这种评估和审计背后的基本思想是使品牌熟悉客户,从而赋予各种利用。Twitter数据用于测试上述场景,因为它具有足够的大小和分散的行为。本文根据收集到的数据,对个体的感受进行假设调查。提议的工作背后的动机是利用twitter的调查来评估许多个人的积极观点和消极观点,这些观点基于内容审计。利用不同的加权方案对推特数据进行估计,以提高分类器的准确率。
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引用次数: 0
Identification of Users Feature Based on Facebook Snippets 基于Facebook片段的用户特征识别
Pub Date : 2019-04-01 DOI: 10.1109/ICACCE46606.2019.9079976
Md. Imran Hossain Showrov, Md. Abdullah Al Awal, Sadia Sazzad
Is there lying any actual difference in their posts between men and women or people of different religion or age? Today it is very important to know whether a text is written by male or female or is it possible to identify a person's gender by using their writing. Several works described a lot of differences between men and women and people of different religion. Besides, it is proved that there is actually linguistics, psychological and sociological difference between men and women or the difference between people of different religion. In this paper, we have find out the dissimilarities between different users by using several text classification algorithms, analyze the performance of these algorithms and reports their results on Facebook posts and comments.
男女、不同宗教、不同年龄的人在岗位上是否存在实际差异?今天,知道一篇文章是由男性还是女性写的,或者是否有可能通过他们的写作来识别一个人的性别,这是非常重要的。有几部作品描述了男人和女人以及不同宗教的人之间的许多差异。此外,还证明了男女之间或不同宗教的人之间实际上存在语言学、心理学和社会学上的差异。在本文中,我们通过使用几种文本分类算法找出了不同用户之间的差异,分析了这些算法的性能,并在Facebook帖子和评论中报告了它们的结果。
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引用次数: 3
Cross Layer Optimization with QoS for Heterogeneous ad-hoc Network 异构ad-hoc网络的QoS跨层优化
Pub Date : 2019-04-01 DOI: 10.1109/ICACCE46606.2019.9079994
A. Sethi, Sandip Vijay, Anurag Aeron
In this paper, different scenario-based network performance parameters with optimization for heterogeneous ad-hoc are reviewed, observed and analyzed. Emergency services, traffic congestion and safety issues in transportation system can be resolute by intelligent communication heuristic and transforming information between vehicles and transportation infrastructure. Dynamic behavior of topology, high mobility, congestion, scalability and self-organization makes it difficult and costly to implement in real time deployment. Under different scenarios and conditions performance of different routing protocols and network lifetime are observed in literature by different authors using different simulation tools. Road conditions, variable speed of vehicles, driver unpredictable behavior and obstacles influence the performance of different routing protocols. Mobility and packet size put a great impact on network lifetime. In this paper we analyzed the throughput and packet delivery ratio at different BSMs in three different scenarios one for urban city and two scenarios for routing protocol with varying speed of vehicle. Mobility and link awareness can enhance the network lifetime and other parameters like throughput, goodput and packet delivery ratio of vehicular ad hoc network observed under simulation.
本文综述、观察和分析了异构ad-hoc的不同场景网络性能参数优化。通过车辆与交通基础设施之间的智能通信启发式和信息转换,可以解决交通系统中的应急服务、交通拥堵和安全问题。拓扑结构的动态性、高移动性、拥塞性、可扩展性和自组织性使得实时部署的实现变得困难和昂贵。在不同的场景和条件下,不同的作者使用不同的仿真工具观察了不同路由协议的性能和网络生存期。道路条件、车辆的变速、驾驶员不可预测的行为和障碍物都会影响不同路由协议的性能。移动性和数据包大小对网络生命周期有很大影响。本文分析了三种不同场景下不同BSMs的吞吐量和分组传输率,一种是城市场景,另一种是不同车速下的路由协议场景。移动性和链路感知可以提高仿真中观测到的车辆自组网的网络生存期以及吞吐量、goodput和分组分发率等参数。
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引用次数: 2
A Novel Paradigm of Melanoma Diagnosis Using Machine Learning and Information Theory 使用机器学习和信息论的黑色素瘤诊断新范式
Pub Date : 2019-04-01 DOI: 10.1109/ICACCE46606.2019.9079975
Kailash Chandra Giri, Mayank Patel, Amit Sinhal, Diwakar Gautam
Harmful Melanoma, basically the most extremely dangerous sort of epidermis malignancy, has a phenomenal conclusion whenever taken care of inside the reparable early ranges. Early determination and careful extraction is presumably the most vigorous cure of melanoma. This work utilizes a record set of 184 clinical dermatoscopic pictures of skin injuries, in which 144 pictures are of dangerous sores and 40 photos are of the amiable sore, picture pre-handling, and division techniques are utilized to separate melanoma from considerate pigmented sores. Otsu and Entropy fundamentally based picture division rules are cultivated which improves the execution. The appropriate outcomes demonstrate that Havrda Entropy and Harris Corner Detector based melanoma analysis approach accomplish greater affectability concerning Otsu and Harris based joined methodology. The separated geometrical, fringe and shading highlight set is conveyed to characterize an outlining limit among considerate and dangerous classes of melanoma, and it is seen that entropy-based neural learning approach outflanks to Otsu based neural learning approach individually.
有害黑色素瘤,基本上是最危险的一种表皮恶性肿瘤,只要在早期可修复的范围内得到治疗,就会有一个惊人的结论。早期诊断和仔细摘除可能是治疗黑色素瘤最有力的方法。本研究使用了184张临床皮肤损伤的皮镜照片,其中144张为危险疮,40张为温和疮,利用图像预处理和分割技术将黑色素瘤与温和的色素疮区分开。培养了基于Otsu和Entropy的图像分割规则,提高了算法的执行力。适当的结果表明,基于Havrda熵和Harris角检测器的黑色素瘤分析方法对Otsu和Harris联合方法具有更大的影响。分离的几何、条纹和阴影高光集被传达,以表征考虑和危险类别之间的黑色素瘤的轮廓限制,并且可以看到基于熵的神经学习方法单独优于基于Otsu的神经学习方法。
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引用次数: 6
Automated Yield Estimation Of Fruits Using Multilayer Convolution Neural Networks 基于多层卷积神经网络的水果产量自动估计
Pub Date : 2019-04-01 DOI: 10.1109/ICACCE46606.2019.9079955
K. S. Kumar, R. A. Kumar, V. P. Kumar
The yield estimation in agricultural field plays a vital role for the better utilization of resources and to enhance total yield per unit area within the time. The yield estimation of fruit is currently computed manually which leads to labour extensive and also expensive. It also takes much time for yield estimation. This manual sampling may also results in imprecise yield calculation. This makes the demand in machine vision based systems to address the above mentioned problem in detecting the yield estimation and thus reduces the error in counting the number of fruits on each tree. The multilayer CNN proposed here is used to classify the fruit from the tree image and also gives better result even in case of diminished images. Overlapped fruits also counted separately to give better result.
农业田间产量估算对于更好地利用资源,在一定时间内提高单产总量具有至关重要的作用。目前,水果的产量估计是人工计算的,这导致了大量的劳动,也很昂贵。估计产量也要花很多时间。这种人工抽样也可能导致产量计算不精确。这使得基于机器视觉的系统在检测产量估计时需要解决上述问题,从而减少在计算每棵树上的果实数量时的误差。本文提出的多层CNN用于从树图像中对水果进行分类,即使在图像减少的情况下也能得到更好的结果。为了得到更好的结果,重叠的水果也要分开计算。
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引用次数: 0
Private STaaS with OpenStack Cinder Volumes for Hybrid/Multi-cloud 私有STaaS(包含OpenStack Cinder卷)用于混合/多云
Pub Date : 2019-04-01 DOI: 10.1109/ICACCE46606.2019.9079968
Sudheendra Harwalkar, D. Sitaram, Shivangi Jadon, Dhanaraj V Kidiyoor, Ornella D'souza
Storage as a Service (STaaS) is in a very advanced stage and 80-90% of the users trust and use public cloud storage. However, enterprises and communities are still skeptical and are concerned with data safety and theft, and are investing to build their own private storage system, where cost of storage space is not the most important concern. This limits resource (compute and network) scale at the peak on demand in hybrid/multi-cloud environment as one cannot keep buying and upgrading computing hardware resources to support peak workloads in private cloud [9]. There are commercial solutions offered by few public cloud service providers/brokers to maintain the data in a private cloud in a hybrid environment, but this may have vendor/broker lock-in and portability/migration issues. In this paper, we explore OpenStack cloud for private Storage as a Service in hybrid/multi-cloud environment and demonstrate with our framework (middleware), which is built upon OpenStack [16], an open source cloud and by leveraging existing OpenStack functionalities.
存储即服务(STaaS)正处于非常先进的阶段,80-90%的用户信任并使用公共云存储。然而,企业和社区仍然持怀疑态度,担心数据安全和被盗,并正在投资建立自己的私有存储系统,其中存储空间成本并不是最重要的问题。这限制了在混合/多云环境中按需高峰时的资源(计算和网络)规模,因为人们无法不断购买和升级计算硬件资源来支持私有云[9]中的高峰工作负载。很少有公共云服务提供商/代理提供商业解决方案来维护混合环境中的私有云中的数据,但这可能存在供应商/代理锁定和可移植性/迁移问题。在本文中,我们探索了在混合/多云环境中用于私有存储即服务的OpenStack云,并展示了我们的框架(中间件),该框架建立在OpenStack[16]上,这是一个开源云,并利用现有的OpenStack功能。
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引用次数: 0
A Design of Low Power and High Speed Encoder and Decoder Circuits by Re-Evaluating High Speed Design Values 基于高速设计值的低功耗高速编解码器电路设计
Pub Date : 2019-04-01 DOI: 10.1109/ICACCE46606.2019.9079950
Abin Satheesan, S. Geethiga
Nowadays, the rapid improvement in CMOS technology to reduce power and area and to increase the speed of chip is mainly consideredin research field. In this paper power dissipation and delay are reduced using Transmission Gate Logic(TGL), which are the most challenging factor in CMOS VLSI Design. The power reduction is achieved without compromising the performance. It is difficult to design such devices because tradeoff between power consumption and speed is a major concern. The encoders and decoders in this paper are designed using proposed TGL by which trade off problems can be eliminated to a greater extend. The number of transistors reducedis four in AND Gate. In OR Gate the power is reduced more than half even with two transistors increased in proposed design. The circuits are designed using 45nm technology in CADENCE VIRTUOSO and the performance parameters are analyzed.
目前,研究领域主要考虑的是CMOS技术的快速改进,以降低功耗和面积,提高芯片的速度。本文采用传输门逻辑(TGL)来降低功耗和延迟,这是CMOS VLSI设计中最具挑战性的因素。在不影响性能的情况下实现了功耗降低。设计这样的设备很困难,因为功耗和速度之间的权衡是一个主要问题。本文所设计的编码器和解码器都是使用所提出的TGL来设计的,通过该TGL可以更大程度地消除权衡问题。晶体管的数量减少到4个。在OR门中,即使增加两个晶体管,功耗也降低了一半以上。在CADENCE VIRTUOSO中采用45nm工艺设计电路,并对其性能参数进行了分析。
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引用次数: 1
Analysis of Multi Cluster Projection on High Dimensional Data Based on Forest Scenario 基于森林场景的高维数据多聚类投影分析
Pub Date : 2019-04-01 DOI: 10.1109/ICACCE46606.2019.9079956
L. Shalin, A. Bharathi, T. Prasanth
Clustering algorithm is frequently used for extending a distance metric or a similarity evaluation for the separation of data from database. The divided data points are more similar and they are categorized significantly to cluster in high dimensional data spaces. Then, clustered data points are projected with different diverse set of proportions. Clustering high dimensional data is a proficient research field. High-dimensional data are wide-ranging in numerous areas of forest scenario, machine learning, signal and image processing, computer vision, pattern recognition, bioinformatics and so on. Let us consider the forest scenario for clustering the information about the trees among dissimilar tree structure. Based on the clustering of forest information, they combine diverse areas of capability and equipment.
聚类算法经常用于扩展距离度量或相似度评估,以实现数据与数据库的分离。划分的数据点更加相似,并且它们在高维数据空间中具有明显的聚类性。然后,用不同的比例集对聚类数据点进行投影。高维数据聚类是一个比较成熟的研究领域。高维数据广泛应用于森林场景、机器学习、信号与图像处理、计算机视觉、模式识别、生物信息学等众多领域。让我们考虑在不同的树结构中聚类关于树的信息的森林场景。在森林信息聚类的基础上,他们结合了不同领域的能力和设备。
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引用次数: 0
期刊
2019 International Conference on Advances in Computing and Communication Engineering (ICACCE)
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