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Data Transmission in Clouds using Heed and Energy Efficient Routing Algorithm 基于Heed和节能路由算法的云数据传输
Pub Date : 2022-02-20 DOI: 10.46501/ijmtst051008
Abhinash Singla, Renu Nagpal and Yogesh kumar
Cloud Computing is a field of computer science in which user can access resources remotely through browser.Cloud Computing increases the speed of accessing the services in very much less cost without actuallydeploy them. It decreases the time from implementing the software to actually deploy it. Cloud Computingusers can access resources on demand. Cloud provides the on demand services, virtualization and opensource. The data owner can stored and access the data from the cloud with the help of cloud service provider.In the large organizations the data which is stored on the cloud is accessed by the many users of the sameorganization. In such a case the problem of inconstancy may arise, because the unauthorized user candelete or modify the data. If the two persons are accessing the same data at same time, then read-write,write-read conflicts may arise. In this, I even have designed wireless clump rule with the assistance nodedegree, Stability issue, and weight and CH choice. In this work, there is data duplication and dataredundancy problem that I have faced and some other problem are the network life time problem due to theredundancy and transmission energy is lost, so there is energy consumption problem. Due to these problemssome other problems like scheduling problem.
云计算是计算机科学的一个领域,用户可以通过浏览器远程访问资源。云计算以非常低的成本提高了访问服务的速度,而无需实际部署它们。它减少了从实现软件到实际部署软件的时间。云计算用户可以按需访问资源。云提供随需应变的服务、虚拟化和开源。数据所有者可以在云服务提供商的帮助下从云中存储和访问数据。在大型组织中,存储在云上的数据由同一组织的许多用户访问。在这种情况下,可能会出现不一致的问题,因为未经授权的用户可以删除或修改数据。如果两个人同时访问相同的数据,则可能出现读写、写读冲突。在此,我甚至设计了辅助节点度、稳定性问题、权重和CH选择的无线团块规则。在这项工作中,我遇到了数据重复和数据冗余的问题,另一个问题是由于冗余和传输能量损失导致的网络寿命问题,因此存在能耗问题。由于这些问题,一些其他的问题,如调度问题。
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引用次数: 0
Relay Node Based Fault Recovery Technique in IEEE 802.15.4 based WBAN 基于IEEE 802.15.4的WBAN中继节点故障恢复技术
Pub Date : 2022-02-20 DOI: 10.46501/ijmtst051236
Preeti Sharma, Preety Sharma and Rakesh Kumar
Wireless sensor networks comprises of many individual nodes which interconnect to form a system thatoperates as one. These sensor nodes play the main task of sensing the environmental conditions and maybecontrol them too. A WBAN consist of portable, miniaturized, and independent sensor nodes for monitoringbody function for health, sporting, emergency and entertainment, applications. It provides long term healthmonitoring of patients under natural physiological states without constraining their normal activities. In bodysensor networks it allows communication between implanted devices and remote monitoring.The proposedalgorithm reduces the chances the chances of fault in the network. The proposed and existing algorithms areimplemented in NS2 and results are analyzed in terms of certain parameters
无线传感器网络由许多独立的节点组成,这些节点相互连接以形成一个整体运行的系统。这些传感器节点的主要任务是感知环境条件,并可能控制它们。无线宽带网络由便携式、小型化和独立的传感器节点组成,用于监测健康、运动、应急和娱乐等应用的身体功能。在不限制患者正常活动的情况下,对患者进行自然生理状态下的长期健康监测。在人体传感器网络中,它允许植入设备和远程监控之间的通信。该算法降低了网络中出现故障的概率。在NS2中实现了本文提出的算法和现有算法,并根据某些参数对结果进行了分析
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引用次数: 0
A Research Study and Comparative Analysis of MPPT Controllers for PV Cells with Algorithmatic Structures 基于算法结构的光伏电池MPPT控制器的研究与比较分析
Pub Date : 2022-02-20 DOI: 10.46501/ijmtst051235
Jasvir Singh, Puneet Chopra and Simerpreet Singh
Due to continues increase in usage of various sources of Energies, Solar energy becomes very popularsource of renewable energy due to its several advantages. Systems such as Photovoltaic (PV) power systemshave been widely used in many applications of generation and utilization of energy in many countries. Butalso, there are many urgent problems to cop up with the applications of PV Cells for the purpose of PowerGeneration and in the power systems such as low efficiency, high cost etc. The main Concentration is to howto improve efficiency. Since generally Photovoltaic (PV) arrays exhibit a nonlinear power–voltage (P–V)characteristic curve which have a variation with isolation and temperature. To achieve good efficiency,Maximum Power Point Tracking (MPPT) is a very important technology. There are various conventional MPPTschemes have been proposed and working on including Hill-Climbing (HC) , Perturb and Observe (P&O) , andIncremental Conductance (INC) etc. In this research work, the optimization methods for efficient trackingsuch as PSO and GSA are explored. The very essential and considered issue of this type of control (MPPT) isto how to achieve the best optimized status and this can be achieved by using evolutionary algorithms. PSOalgorithm owns the characteristics methods like parallel processing, good robustness, and high probability offinding global optimal solution. By adding GSA with PSO ,it can be improved. Advantage of adding proposedGSAPSO algorithm greatly shortens the searching time, helpful in reducing the fluctuation of output waveformand thus improves the optimization and efficiency through particles dormancy and activation control, optimalnumber of particles algorithm and search sequence selection. It achieves a smooth starting for maximumpower and achieves it in less time than the widely used other methods.
由于各种能源的使用不断增加,太阳能由于其几个优点而成为非常受欢迎的可再生能源。光伏发电系统在许多国家的能源生产和利用中得到了广泛的应用。但光伏电池在发电和电力系统中的应用也面临着效率低、成本高等亟待解决的问题。主要集中在如何提高效率。由于光伏(PV)阵列通常表现出非线性的功率电压(P-V)特性曲线,该曲线随隔离度和温度的变化而变化。为了获得良好的效率,最大功率点跟踪(MPPT)是一项非常重要的技术。已经提出并正在研究的各种传统mppt方案包括爬坡(HC),扰动和观察(P&O)和增量电导(INC)等。在本研究工作中,探索了粒子群算法和GSA算法等高效跟踪的优化方法。这种类型的控制(MPPT)的基本和考虑的问题是如何达到最佳优化状态,这可以通过使用进化算法来实现。pso算法具有并行处理、鲁棒性好、找到全局最优解的概率高等特点。在PSO中加入GSA可以改善其性能。加入本文提出的dgsapso算法的优势在于,通过粒子休眠和激活控制、最优粒子数算法和搜索序列选择,大大缩短了搜索时间,有助于减小输出波形的波动,从而提高了优化效率。与其他广泛使用的方法相比,它可以实现最大功率的平稳启动,并且在更短的时间内实现。
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引用次数: 0
Routing Protocols of Wireless Body Networks: A Review 无线体网路由协议综述
Pub Date : 2022-02-20 DOI: 10.46501/ijmtst050238
Avinash Jethi, Preeti Sharma and Rakesh Kumar
The wireless body area network is the type of network which can sense the body conditions and pass sensedinformation to base station. The WBAN is the decentralized and self configuring type of network in whichenergy consumption is the major issue of the network. The routing protocols of wireless body area networkcan be categorized into certain classes. In this review paper, various routing protocols are reviewed andcompared in terms of certain parameters
无线身体区域网络是一种能够感知身体状况并将感知信息传递给基站的网络类型。WBAN是一种分散的自配置型网络,其主要问题是能耗。无线体域网络的路由协议可分为若干类。在这篇综述中,对各种路由协议的某些参数进行了回顾和比较
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引用次数: 0
To Design An Efficient Scheme For Mobility Of Nodes In Dynamic WSAN Based Upon Optimized Ad-ATMA 设计一种基于优化Ad-ATMA的动态无线局域网节点移动性的有效方案
Pub Date : 2022-02-20 DOI: 10.46501/ijmtst050330
AbhinashSingla, Shikha and Meenakshi Sharma
Worldwide Interoperability for Microwave Access (referred to as WiMAX) is a MAC and physical layerwireless communications technology for outdoor broadband wireless coverage. The WiMAX standard leaveskey areas of the protocol, including packet scheduling, frame packing, and modulation/coding adaptation,unspecified. In order to accurately model and analyze WiMAX, realistic assumptions must be used. BecauseWiMAX systems have not been widely studied, there is a disconnect between theoretical WiMAX systemsand real-world deployed systems. In this paper we are mixing up the WLAN and Wimax protocols to make itmore useful for various applications.
全球微波接入互操作性(简称WiMAX)是一种MAC和物理层无线通信技术,用于室外宽带无线覆盖。WiMAX标准没有规定协议的关键领域,包括分组调度、帧打包和调制/编码适应。为了准确地建模和分析WiMAX,必须使用现实的假设。由于WiMAX系统尚未得到广泛的研究,理论上的WiMAX系统和实际部署的系统之间存在脱节。在本文中,我们混合了WLAN和Wimax协议,使其更适用于各种应用。
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引用次数: 0
A Review on Hindi Question Answering System 印地语问答系统研究综述
Pub Date : 2022-02-20 DOI: 10.46501/ijmtst051189
Amreen Kaur, Nishi and Beant Kaur
With advancement in technology, the process of question answering is the main field of research of textmining. In India, the natural language of people is mainly Hindi. In automatic question generation the systemgenerate multiple choice questions automatically from Hindi text using question generation techniques. Thereare various approaches that can be used to generate the questions from a given text. This paper presents thereview to various question generation techniques.
随着技术的进步,问答过程是文本挖掘的主要研究领域。在印度,人们的自然语言主要是印地语。在自动问题生成中,系统使用问题生成技术从印地语文本自动生成选择题。有多种方法可以用来从给定的文本中生成问题。本文对各种问题生成技术进行了综述。
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引用次数: 0
A Macroscopic Traffic Model-based Approach for Sybil Attack Detection in VANETs 基于宏观流量模型的网络攻击检测方法
Pub Date : 2022-02-20 DOI: 10.46501/ijmtst050329
Vikas Kumar Garg, Arshdeep Singh and Pranab Garg
Vehicular Ad Hoc Network (VANETs) are required to play a significant job in our lives. They will improve trafficsecurity and welcome an upheaval on the driving experience. In any case, these benefits are balancedconceivable assaults that undermine the vehicle's security, yet additionally travelers lives. One of the mostwidely recognized ones is the Sybil assault, which is more risky than others since it could be the beginningstage of numerous different assaults in VANETs. This paper proposes a dispersed methodology permittingthe discovery of Sybil at tacks utilizing the traffic flow hypothesis. The key thought here is that every vehiclewill screen its neighborhood so as to identify a possible Sybil assault. This is accomplished by contrastingbetween the genuine precise speed of the vehicle and the one evaluated utilizing the V2V correspondenceswith vehicles in the region. This evaluated speed is acquired utilizing the traffic flow principal chart of thestreet's segment where the vehicles are moving.A numerical model that assesses the pace of Sybil assault discovery air conditioning cording to the trafficthickness is proposed. At that point, this model is approved through some broad re-enactments directedutilizing the notable NS3 arrange test system together with SUMO traffic test system.
车载自组织网络(VANETs)在我们的生活中扮演着重要的角色。他们将改善交通安全,并欢迎驾驶体验的剧变。在任何情况下,这些好处都是平衡的,可以想象的攻击会破坏车辆的安全性,但也会增加乘客的生命。最广为人知的攻击之一是Sybil攻击,它比其他攻击更危险,因为它可能是VANETs中许多不同攻击的开始阶段。本文提出了一种分散的方法,允许利用交通流假设发现西比尔。这里的关键思想是,每辆车都将对其附近进行筛查,以识别可能的西比尔袭击。这是通过对比车辆的真实精确速度和利用与该地区车辆的V2V对应关系评估的速度来实现的。该评估速度是利用车辆移动的街道路段的交通流主图获得的。提出了一种基于交通厚度的Sybil攻击发现空调速度评估的数值模型。在这一点上,该模型是通过一些广泛的再现利用著名的NS3安排测试系统和SUMO交通测试系统。
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引用次数: 5
OUR INDIAN SHOP – E-Commerce Website Interconnecting the Farmers, Shopkeepers, Delivery Personnel and Consumers 我们的印度商店-电子商务网站连接农民,店主,送货人员和消费者
Pub Date : 2022-01-11 DOI: 10.46501/ijmtst0712003
A system named ‘Our Indian Shop’ has been developed and presented in this paper. This system involves an androidapplication, a website and an IVR system for online selling and delivery of agricultural products from farmers to theconsumers directly at the market price without the involvement of any middleman. It provides facilities of onlineshopping of essentials from consumers’ nearby shops as the delivery options will be localized according to pin codeto lower the risks of spreading of Covid-19. It also supports selling of groceries, vegetables, and medicines byrelevant shop owners directly to the consumers. It enhances the employment as delivery personnel for economicallybackward people or daily wagers who have lost their livelihood due to the pandemic. The IVR system is to beprovided to make all the above facilities available in the offline mode for technologically backward classes, forefficient working of the system in a digital divide environment. The prime objective of this development is topromote social distancing and provide efficient technical solutions for sustainability in the post pandemic world. OurIndian Shop is an all in one platform which provides the online facilities of shopping and selling as well as it will helpto enhance the employment and prevent the brokerage charges.
本文开发并介绍了一个名为“我们的印度商店”的系统。该系统包括一个android应用程序、一个网站和一个IVR系统,用于在没有任何中间商参与的情况下,直接以市场价格将农产品从农民手中在线销售和交付给消费者。为了降低新冠病毒传播的风险,将根据pin码进行配送,并提供消费者就近商店的必需品在线购物设施。它还支持相关店主直接向消费者销售食品杂货、蔬菜和药品。增加因疫情而失去生计的经济落后人口或日工的送餐人员就业。提供IVR系统是为了使上述所有设施能够以离线模式提供给技术落后的阶层,系统在数字鸿沟环境中有效地工作。这一发展的主要目标是促进社会保持距离,并为大流行后世界的可持续性提供有效的技术解决方案。我们的印度商店是一个一站式的平台,提供网上购物和销售的设施,以及它将有助于提高就业和防止经纪费用。
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引用次数: 0
Impact of Nanotechnology on Environment – A Review 纳米技术对环境的影响——综述
Pub Date : 2021-12-26 DOI: 10.46501//ijmtst0710026
Subhadra Rajpoot
The world is facing significant environmental challenges like improving the standard of air, soil, and water. Currently, industry is that specialize in detecting pollutants (from chemical spills, fertilizer and pesticide run-off), improving industrial and mining sites, treating contaminants and stopping further pollution. A potential solution to those problems is to use nanomaterials. Nanomaterials are often wont to assist with cleaning the environment and even provide efficient energy solutions, like nanomaterial based solar cells additionally to the present, nanomaterials help to enhance the standard and performance of the many consumer products. As results of this, the exposure to made nanomaterials is increasing day-by-day. However, there are both positive and negative impacts on the environment thanks to nanotechnology.Recent advances in nanotechnology have shown numerous societal benefits through the event or improvement of smart materials. Several engineered nanomaterials (ENMs) are produced during the last years which will be found in related sectors like health, food, home, automotive, electronics, and computers (Hansen et al., 2016). The estimated output of ENMs produced was up to 270,000 metric tons/year and during this case considering only SiO2, TiO2, FeOx, AlOx, ZnO, and CeO2 nanoparticles.
世界正面临着重大的环境挑战,如改善空气、土壤和水的标准。目前,工业是专门检测污染物(从化学品泄漏,化肥和农药径流),改善工业和采矿场所,处理污染物和阻止进一步的污染。解决这些问题的一个潜在方法是使用纳米材料。纳米材料通常有助于清洁环境,甚至提供有效的能源解决方案,如纳米太阳能电池。此外,纳米材料有助于提高许多消费产品的标准和性能。因此,人造纳米材料的暴露日益增加。然而,纳米技术对环境既有积极的影响,也有消极的影响。纳米技术的最新进展已经通过智能材料的事件或改进显示了许多社会效益。在过去几年中生产了几种工程纳米材料(enm),这些材料将用于健康、食品、家庭、汽车、电子和计算机等相关领域(Hansen et al., 2016)。在此情况下,仅考虑SiO2、TiO2、FeOx、AlOx、ZnO和CeO2纳米颗粒,enm的估计产量高达27万吨/年。
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引用次数: 2
Medical Image Segmentation by Fish Schooling Algorithm and Neural Network 基于鱼群鱼群算法和神经网络的医学图像分割
Pub Date : 2021-11-01 DOI: 10.46501/ijmtst0710009
K V Sandeep, Manoj Dandamudi and P Dhanusha
Medical image diagnosis by machine decrease the doctor load and increases the efficiency of treatment as well. Many of diagnosisprocess depends on chemical data and some are depend on digital images. This work focus on brain tumor medical imagediagnosis by segmenting the tumor region in the image. For tumor detection neural network was trained by the model. Selectedfeatures extract from the image by fish schooling genetic algorithm for training of neural network It was obtained that fishschooling based genetic feature selection has increases the detection accuracy of trained model. Experiment was done on realdataset and results compared with existing techniques of tumor detection from MRI images.
利用机器进行医学图像诊断,减少了医生的工作量,提高了治疗效率。许多诊断过程依赖于化学数据,有些依赖于数字图像。本工作主要针对脑肿瘤医学图像的诊断,通过对图像中的肿瘤区域进行分割。在肿瘤检测方面,利用该模型训练神经网络。利用鱼群遗传算法从图像中提取所选特征进行神经网络训练,结果表明基于鱼群遗传特征的选择提高了训练模型的检测精度。在realdataset上进行了实验,并与现有的MRI图像肿瘤检测技术进行了比较。
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引用次数: 0
期刊
International Journal for Modern Trends in Science and Technology
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