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Performance Analysis of Q-Leach Algorithm in WSN 无线传感器网络中q -滤出算法的性能分析
Pub Date : 2020-06-20 DOI: 10.35940/ijies.i0977.0651020
S. Saroj, M. Yadav, Shiksha Jain, Ramesh Mishra
Sensor nodes are exceedingly energy compelled instrument, since it is battery operated instruments. In wsn network, every node is liable to the data transmission through the wireless mode [1]. Wireless sensor networks (WSN) is made of a huge no. of small nodes with confined functionality. The essential theme of the wireless sensor network is energy helpless and the WSN is collection of sensor. Every sensor terminal is liable to sensing, store and information clan and send it forwards into sink. The communication within the node is done via wireless network [3].Energy efficiency is the main concentration of a desining the better routing protocol. LEACH is a protocol. This is appropriate for short range network, since imagine that whole sensor node is capable of communication with inter alia and efficient to access sink node, which is not always correct for a big network. Hence, coverage is a problem which we attempt to resolve [6]. The main focus within wireless sensor networks is to increase the network life-time span as much as possible, so that resources can be utilizes efficiently and optimally. Various approaches which are based on the clustering are very much optimal in functionality. Life-time of the network is always connected with sensor node’s energy implemented at distant regions for stable and defect bearable observation [10].
由于传感器节点是电池供电的,因此它是一种极具能量消耗的仪器。在wsn网络中,每个节点都有可能通过无线模式[1]进行数据传输。无线传感器网络(WSN)是由一个巨大的数字组成的。功能受限的小节点。无线传感器网络的本质主题是能量无源,无线传感器网络是传感器的集合。每个传感器终端都有可能感知、存储和发送信息到接收器。节点内的通信通过无线网络[3]完成。能源效率是设计更好的路由协议的主要关注点。LEACH是一个协议。这适用于短距离网络,因为假设整个传感器节点能够与其他节点通信并有效地访问汇聚节点,这对于大型网络并不总是正确的。因此,覆盖是我们试图解决的一个问题。无线传感器网络的主要关注点是尽可能地延长网络寿命,从而使资源得到有效和优化的利用。基于聚类的各种方法在功能上都非常优。网络的寿命始终与传感器节点在遥远区域实现的能量相关联,以实现稳定且可承受缺陷的观测[10]。
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引用次数: 0
Characterization of Surface Coating Techniques for Improved Performance 提高性能的表面涂层技术表征
Pub Date : 2020-05-20 DOI: 10.35940/ijies.i0975.055920
K. S. K. Reddy, V. S. Reddy, Sujitha. J, Dr. Madhuri Pydimalla*
Surface coating has evolved with time, tracking the demands of the processing industry. This research activity, studies the significance of powder coatings in the evolution of existing conventional surface coating technology for their practical applications in the field of metal coating, particularly office and home appliances. The first objective of this work involves a systematic comparison between polymer powder coatings with liquid-based coatings. In the second objective, a comparison between the polymer coatings with additive filled powder coating was performed. Various conventional substrates (such as copper, aluminium, galvanized iron, brass, cement plank, wood block) were used for this study. The materials were first dry scuffed and then dipped in 3 in 1 chemical (zinc phosphate chemical and magnesium phosphate) for the primer coat. The prepared substrates were surface coated with liquid paint (on one side of the panel) using spray gun and powder paint (on another side of panel) using electrostatic spraying. The coated panels are then subjected to various standard (ISO) characterization techniques such as Scratch hardness test, Flexibility test, Thickness test, Adhesion test, Impact resistance test etc to analyze the effectiveness of the coatings applied. The quantitative and qualitative results thus obtained using powder coatings were promising (e.g: As the load progressively kept increasing i.e. 1000-2000 gm, mild scratches were noticeable on liquid coated substrates whereas powder coated metal panels have shown a greater resistance to scratch damage) as the test values determined high strength quality and durability (in-line with the standards) in comparison with liquid coatings. Also, the doping of additive (graphene) in small quantity has improved characteristics and qualities of the powder coated materials (e.g: graphene based powder coating has endured scratch hardness test beyond 2500 gms load force compared to simple powder coating). The findings of the current research study has confirmed the advantage of the powder coating technology and also deliberated the effect of fine powder flow ability. The important future prospects of this research work is that., powder coatings will stand on the threshold of exciting breakthroughs thus opening new frontiers by being able to coat thick steel components and even non-metal substrates. Also, the recent advances in powder coating technology with anticorrosive additives will result in bonded metallic coatings that deliver a unique, quality appearance.
表面涂层随着时间的推移而发展,跟踪加工工业的需求。本次研究活动,研究粉末涂料在现有传统表面涂层技术的演变中对其在金属涂层领域,特别是办公和家用电器领域的实际应用的意义。这项工作的第一个目标是对聚合物粉末涂料与液体基涂料进行系统的比较。在第二个目标中,对聚合物涂层与添加剂填充粉末涂层进行了比较。本研究使用了各种传统基材(如铜、铝、镀锌铁、黄铜、水泥板、木块)。先将材料干磨,然后用3合1的化学剂(磷酸锌化学剂和磷酸镁化学剂)涂底漆。将制备好的基材用喷枪在面板的一侧表面涂上液体涂料,用静电喷涂在面板的另一侧表面涂上粉末涂料。然后对涂覆的面板进行各种标准(ISO)表征技术,如划痕硬度测试,柔韧性测试,厚度测试,附着力测试,抗冲击性测试等,以分析所涂涂层的有效性。因此,使用粉末涂料获得的定量和定性结果是有希望的(例如:随着负载逐渐增加,即1000-2000克,在液体涂层基材上可以注意到轻微的划痕,而粉末涂层金属板显示出更大的抗划痕损伤能力),因为测试值确定了与液体涂层相比的高强度质量和耐久性(符合标准)。此外,少量添加剂(石墨烯)的掺杂改善了粉末涂层材料的特性和质量(例如:石墨烯基粉末涂层与简单粉末涂层相比,可以承受超过2500克载荷力的划痕硬度测试)。目前的研究结果证实了粉末涂层技术的优势,也考虑了细粉流动能力的影响。本研究工作的重要前景是:,粉末涂料将站在令人兴奋的突破的门槛上,从而开辟了新的领域,能够覆盖厚钢部件甚至非金属基材。此外,最近在粉末涂料技术与防腐添加剂的进展将导致结合金属涂层提供一个独特的,高质量的外观。
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引用次数: 0
Recognition of Leaves in Videos 视频中叶子的识别
Pub Date : 2020-02-20 DOI: 10.35940/ijies.l0946.025820
M. Naveena, Vidyashankara, G. Kumar
The aim of this paper work is to design a user independent framework for recognizing and classifying the leaves in a video frames. This project involves classification of leaves using KNN (K- Nearest Neighbor) as a classifier. SURF (Speeded-Up Robust Features) and LBP (Local Binary Pattern) features are used for extracting Scale ,Orientation etc., In the first step our proposed model can extract most distinguish key-frames and then from extracted key-frames it detects the leaf color and recognize the different class of leaves.
本文的目的是设计一个独立于用户的框架来识别和分类视频帧中的叶子。这个项目涉及使用KNN (K-最近邻)作为分类器对叶子进行分类。利用SURF(加速鲁棒特征)和LBP(局部二值模式)特征提取尺度、方向等特征,首先提取出大部分可区分的关键帧,然后从提取的关键帧中检测出叶子的颜色并识别出不同类别的叶子。
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引用次数: 0
A Secured Framework to Identify and Mitigate Attack 识别和减轻攻击的安全框架
Pub Date : 2020-02-20 DOI: 10.35940/ijies.h0963.035820
L. Thirupathi, V. N. R. Padmanabhuni
Nowadays security is major concern for any user connected to the internet. Various types of attacks are to be performed by intruders to obtaining user information as man- inmiddle attack, denial of service, malware attacks etc. Malware attacks specifically ransomware attack become very famous recently. Ransomware attack threaten the users by encrypting their most valuable data, lock the user screen, play some random videos and by various more means. Finally attacker takes benefits by users through paid ransom. In this paper, we propose a framework which prevents the ransomware attack more appropriately using various techniques as block chain, honeypot, cloud & edge computing. This framework is analyzed mainly through the IoT devices and generalized to the any malware attack.
如今,安全是任何连接到互联网的用户最关心的问题。为了获取用户信息,入侵者会进行各种类型的攻击,如中间人攻击、拒绝服务攻击、恶意软件攻击等。恶意软件攻击特别是勒索软件攻击最近变得非常有名。勒索软件攻击通过加密用户最宝贵的数据,锁定用户屏幕,播放一些随机视频以及各种其他方式来威胁用户。最后,攻击者通过支付赎金的方式获取用户的利益。在本文中,我们提出了一个框架,可以更适当地使用各种技术,如区块链,蜜罐,云和边缘计算来防止勒索软件攻击。该框架主要通过物联网设备进行分析,并推广到任何恶意软件攻击。
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引用次数: 1
Using 3Ds Max Application Create An Eyeball 使用3Ds Max应用程序创建一个眼球
Pub Date : 2019-11-20 DOI: 10.35940/ijies.d0931.105719
Jian Gao
This paper represents an experiment report of VR (Virtual Reality) and AR (Augmented Reality) for medical learners. Four main purposes of this experiment through 3Ds Max application create an eyeball. The environment of experiment also be discussed. As well as the studies of organ in medical points of view. Two parts, two objects and three modifications as core activities for representing anatomical studies. More details about creation in experiment essential features demonstrated consequently. Thirty steps in experiment, descriptions show with screenshots. Output of this experiments would be able to understand medical learner’s anatomical perspective studies, as well as medical educators introduce organ and medical knowledge to no-medical learners. Combining VR and AR to medical learning activities, as well as clinical presentations. This paper no only practices the application 3Ds Max create organ models, but also medical learning perspective discussion.
本文是一篇针对医学学习者的VR(虚拟现实)和AR(增强现实)实验报告。本实验的四个主要目的是通过3Ds Max应用程序创建眼球。并对实验环境进行了讨论。以及从医学角度对器官的研究。两个部分,两个对象和三个修改作为代表解剖学研究的核心活动。更多关于实验中创造的细节,从而展示了基本特征。30个步骤的实验,描述显示与截图。本实验的输出可以理解医学学习者解剖角度的研究,也可以帮助医学教育者向非医学学习者介绍器官和医学知识。结合虚拟现实和增强现实医学学习活动,以及临床报告。本文不仅实践了应用3Ds Max创建器官模型,还从医学学习的角度进行了探讨。
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引用次数: 0
An Enhanced Technique for Analyzing Sentiments of Public Reviews - II 一种改进的舆情分析技术——ⅱ
Pub Date : 2019-09-20 DOI: 10.35940/ijies.d0928.095619
Chintan Panjwani, Rashmi K. Thakur
Enhnaced Dual Sentiment Analysis (EDSA) is an improved system which enhances the performance of the existing Dual Sentiment Analysis (DSA) which is implemented in literature. It mainly focuses on improving the efficiency of the existing system by making some modifications to the existing DSA approach. EDSA improves the classification accuracy of the public reviews. Apart from the classification accuracy other parameters considered in EDSA are precision, recall and fmeasure. In the first phase, a data pre-processing is performed to clean the data where subjectivity analysis is performed to obtain the subjective reviews and sentiment analysis is performed on subjective reviews only. Second phase deals with negation detection and sentiment word sreversal to obtain the reversed reviews. Third phase performs polarity calculation on the original and reversed reviews to obtain positive and negative reviews based on sentiment score of the reviews. Fourth phase performs the enhanced dual training and prediction where the positive and negative reviews are provided to various classifiers which provides the final results as the output. Final phase is the graphical representation of the various parameter values obtained from the previous phase which helps in comparing the results of the various classifiers.
增强型双情感分析(EDSA)是一种改进的系统,它提高了现有的双情感分析(DSA)的性能。它主要侧重于通过对现有的DSA方法进行一些修改来提高现有系统的效率。EDSA提高了公众评论的分类准确性。除了分类精度外,EDSA还考虑了精度、召回率和度量。在第一阶段,对数据进行预处理,对数据进行清理,其中进行主观性分析,获得主观评价,仅对主观评价进行情感分析。第二阶段进行否定检测和情感词反转,获得反转评论。第三阶段对原始评论和反向评论进行极性计算,根据评论的情感得分获得正面和负面评论。第四阶段执行增强的双重训练和预测,其中将正面和负面评论提供给各种分类器,这些分类器将最终结果作为输出。最后一个阶段是从前一阶段获得的各种参数值的图形表示,这有助于比较各种分类器的结果。
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引用次数: 0
Compression and Split Tensile Characteristics of Concrete Containing Quarry Residues 含矿渣混凝土的压缩和劈裂拉伸特性
Pub Date : 2019-08-20 DOI: 10.35940/ijies.d0920.055419
S. A. Basha, Dr. B Jayarami Reddy, Dr.C. Sashidhar
Waterway sand and pit sand are the most normally utilized fine aggregates for concrete creation in many parts of the world. Huge scale extraction of these materials presents genuine ecological risk in numerous parts of the nation. Aside from the ecological danger, there still exists the issue of intense lack in many regions. In this way, substitute material in place of river sand for concrete production should be considered. The paper means to examine the compressive and split tensile qualities of concrete produced using quarry residue, sand, and a blend of sand and quarry dust. The experimentation is absolutely research facility based. A total of 60 concrete cubes of size 150 mm x 150 mm x 150 mm, and 60 cylinders 150 mm in diameter and 300 mm deep, conforming to M50 grade were casted. All the samples were cured and tested with a steady water/concrete proportion of 0.31. Out of the 60 blocks cast, 20 each were made out of natural river sand, quarry dust and an equivalent blend of sand and quarry dust. It was discovered that the compressive strength and split tensile strength of concrete produced using the blend of quarry residue and sand was higher than the compressive qualities of concrete produced using 100% sand and 100% quarry dust.
水道砂和坑砂是世界上许多地区最常用的细骨料。这些材料的大规模开采给全国许多地区带来了真正的生态风险。除了生态危险外,许多地区还存在严重的水资源短缺问题。因此,应考虑用替代材料代替河砂生产混凝土。本文的目的是研究用采石场渣油、砂子和砂子与采石场粉尘混合而成的混凝土的抗压和劈裂拉伸性能。实验完全是基于研究设施的。共浇铸了60个尺寸为150mm × 150mm × 150mm的混凝土立方体和60个直径150mm、深度300mm的圆柱体,符合M50等级。所有试件均在0.31的稳定水灰比下进行固化试验。在60块积木中,各有20块是由天然河砂、采石场粉尘以及沙子和采石场粉尘的等量混合物制成的。结果表明,采石场渣土和砂土混合配制的混凝土抗压强度和劈裂抗拉强度均高于100%砂土和100%采石场砂土混合配制的混凝土抗压性能。
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引用次数: 0
Enhancement of Cloud Stationed Healthcare Information Security by Dimensionality Reduction 通过降维增强云驻留医疗信息安全
Pub Date : 2019-08-20 DOI: 10.35940/ijies.d0921.085519
S. Sophia, Dr.K.K. Thanammal
The security of healthcare information can be secured by the use of cloud environment, and takes finite estimating power. The security of patient’s data shared over the internet can be distressed by healthcare institutions because of growing high popularity. The Eigen decomposition (ED) and Single Value Decomposition (SVD) of a matrix are relevant to maintain the security and the study of Dimension Reduction and its advantages are also applicable. To reduce the data without loss, Principal Component Analysis (PCA) is used. Fast retrieval methods are critical for many large-scale and data-driven vision applications. Recent work has explored ways to embed highdimensional features or complex distance functions into a lowdimensional space where items can be efficiently searched. However, existing methods do not apply for high-dimensional kernel based data The proposed method covers how to generalize locality-sensitive hashing and the implementation of Kernel PCA based methods for Dimensionality Reduction can be applied to Medical data provides high security and utilize the resources of the cloud to inhibit data efficiently.
医疗信息的安全性可以通过使用云环境来保证,并且需要有限的估计能力。由于互联网越来越受欢迎,医疗机构可能会担心通过互联网共享的患者数据的安全性。矩阵的特征分解(ED)和单值分解(SVD)与维护矩阵的安全性有关,降维及其优点的研究也同样适用。为了在不丢失数据的情况下减少数据,使用了主成分分析(PCA)。快速检索方法对于许多大规模和数据驱动的视觉应用至关重要。最近的工作探索了将高维特征或复杂距离函数嵌入到低维空间的方法,在低维空间中可以有效地搜索项目。然而,现有方法不适用于基于核的高维数据,该方法涵盖了如何推广位置敏感哈希,实现基于核主成分的降维方法可以应用于医疗数据,提供了高安全性,并利用云资源有效地抑制数据。
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引用次数: 0
An Enhanced Technique for Analyzing Sentiments of Public Reviews - I 一种改进的舆情分析技术——ⅰ
Pub Date : 1900-01-01 DOI: 10.35940/ijies.d0926.095619
Chintan Panjwani, Mrs. Rashmi K. Thakur
Sentiment analysis is the process of extracting the opinion expressed in a piece of text to determine the writer’s attitude towards a topic, product or any service in general and classify it into classes such as positive, negative or neutral. Bag of Words is the traditional approach for text representation in Sentiment Analysis where text is represented as bag of its words. This approach represents the text by breaking the sentence into words disregarding other semantic information. A problem that occurs due to this representation is Polarity Shift problem. To address polarity shift problem a dual sentiment analysis (DSA) system is created. It looks at the reviews from both the sides i.e. positive and negative. The existing work on dual sentiment analysis includes techniques where dual training and dual prediction is performed. The proposed system is to enhance the classification performance of the existing system by applying different classifiers apart from those used in existing system to obtain better results. After classification of reviews into appropriate classes, various graphs are plotted based on different parameters to validate the results and determine the best classifier from the applied classifiers.
情感分析是提取一篇文章中表达的观点,以确定作者对某个主题、产品或任何服务的总体态度,并将其分为积极、消极或中性等类别的过程。词袋是情感分析中文本表示的传统方法,将文本表示为词袋。这种方法通过将句子分解成单词来表示文本,而不考虑其他语义信息。由于这种表现而出现的一个问题是极性转移问题。为了解决极性转移问题,建立了一个双情感分析系统。它从两个方面看评论,即正面和负面。双重情感分析的现有工作包括双重训练和双重预测技术。提出的系统是为了提高现有系统的分类性能,在现有系统中使用不同的分类器,以获得更好的结果。在将评论分类到适当的类别之后,基于不同的参数绘制各种图来验证结果并从应用的分类器中确定最佳分类器。
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引用次数: 0
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International Journal of Inventive Engineering and Sciences
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