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2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)最新文献

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Design of feedpump condition monitoring using remote webpage 利用远程网页进行给水泵状态监测的设计
C. Lakshmi, K. Lavanya, T. Babu
Most of the feedpumps used in industrial systems are not continuously monitored resulting in repair, replacement, shutdown of plant in worst case. In order to increase the safety and reliability of the pump, we will design a monitoring system which measures various parameters and indicate locally and transmits those parameters into internet. The rotating machine to be monitored continually for any abnormality. There are four parameters that shows the healthiness of the pump they are vibration, temperature, noise and flowrate which are continuously monitored and displayed to the authenticated user in remote location using the concept of IoT without the aid of human knowledge.
工业系统中使用的大多数给水泵没有连续监测,导致维修,更换,在最坏的情况下关闭工厂。为了提高泵的安全性和可靠性,我们将设计一个监测系统,对泵的各项参数进行就地测量和指示,并将这些参数传输到网络上。转动的机器要被持续监控以防任何异常。有四个参数显示泵的健康状况,它们是振动、温度、噪音和流量,这些参数在没有人类知识的帮助下,使用物联网的概念,在远程位置连续监控并显示给经过身份验证的用户。
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引用次数: 1
PSO based obstacle detection for indoor cleaning robot 基于粒子群算法的室内清扫机器人障碍物检测
S. Pavithra, P. Bhuvaneswari
In large scale industries, robot play a vital role in doing, multitask functions. Cleaning robot is a part of the industrial applications. Path planning for cleaning purpose is found to be one of the major challenges of these robots, as obstacles present in the path may cause damage to them. Hence, in this research, Particle Swarm Optimization (PSO) based obstacle detection algorithm is proposed to determine the path for cleaning robot. A grid based scenario with both static and mobile obstacles are considered to determine the path. The proposed work is simulated in MATLAB 2013b. From the results obtained it is inferred that the algorithm is validated for both cluttered and uncertainty environment, which enable to bypass the obstacles. It also ensures that the destination is attained by selecting the path without the obstacles.
在大型工业中,机器人在多任务工作中起着至关重要的作用。清洁机器人是工业应用的一部分。以清洁为目的的路径规划是这些机器人面临的主要挑战之一,因为路径上存在的障碍物可能会对它们造成损害。因此,本研究提出了基于粒子群算法(PSO)的障碍物检测算法来确定清洁机器人的路径。考虑了一个基于网格的场景,其中包含静态和移动障碍物来确定路径。所提出的工作在MATLAB 2013b中进行了仿真。结果表明,该算法在混乱和不确定环境下均得到了验证,能够绕过障碍物。它还通过选择没有障碍物的路径来确保到达目的地。
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引用次数: 3
DAPS: Dairy analysis and prediction system using technical indicators DAPS:使用技术指标的乳品分析和预测系统
Ronak Chudasama, Sagar Dobariya, Komal Patel, Hezal Lopes
Businesses in today's globalized world are required to react on trouble and opportunities in a highly flexible way. Hence, companies that are able to analyze the current situation of their business processes, forecasting their most optimal progresses and with the forward-thinking mechanism they will have a decisive competitive advantage. This paper addresses the problem of analyzing data collected by the dairy production with the aim of optimizing the supply chain management and maximizing profit in the manufacturing of milk and other dairy items. The amount of data from dairy records continuously increases due to the usage of modern systems in farm management, requiring a technique to show trends and insights in data for a rapid analysis. To help dairy manufacturer and to make usage of big data analytics for decision-making, a targeted effort is developed which is a feasible and cost-effective technique entitled as “DAPS: Dairy Analysis and Prediction System”. For detailed study of current scenario in market system uses technical analysis displays such as MACD (Moving Average Convergence Divergence) and RSI (Relative Strength Index). The blend of MACD and RSI facilitate the monitoring of real-time progress of a production as well as futuristic analysis.
在当今全球化的世界中,企业需要以高度灵活的方式应对困难和机遇。因此,能够分析其业务流程的现状,预测其最优进展并具有前瞻性思维机制的公司将具有决定性的竞争优势。本文解决了乳制品生产过程中收集的数据分析问题,旨在优化供应链管理,使牛奶和其他乳制品的生产利润最大化。由于在农场管理中使用现代系统,乳制品记录的数据量不断增加,需要一种技术来显示趋势和洞察数据,以便快速分析。为了帮助乳制品制造商并利用大数据分析进行决策,我们开发了一项有针对性的工作,这是一种可行且具有成本效益的技术,名为“DAPS:乳制品分析和预测系统”。对于市场系统中当前场景的详细研究,使用技术分析显示,如MACD(移动平均收敛背离)和RSI(相对强弱指数)。MACD和RSI的结合有助于监测生产的实时进度以及未来分析。
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引用次数: 4
Squids species classification using fuzzy inference system based on morphometric measurements 基于形态测量的模糊推理系统在鱿鱼种类分类中的应用
K. Himabindu, S. Jyothi, D. M. Mamatha
Identification in the field of commercial species, one of the species is Squids. Squid is a marine cephalopod mollusk. Each species of the squids has got its own features and to accurately classify the squids. The most dramatic differences were observed in Total length, Mantle Length, Mantle Width, Head Length, Head Width and Fin Width which could be used to distinguish squid from some of the different squids. To classifying the Squid species by taking the morphometric measurements, sometimes uncertainty will be arised by measuring features of mantle, fin and head of squid. To overcome this problem Fuzzy Inference System is used for classification of squids. In this paper computed features are fed into classifier i.e. “Fuzzy Inference System based on subtractive clustering of classification of squid species with six morphometric measurements. The classification accuracy is best yielded with Fuzzy inference system classifier of 88.0%.”
在野外鉴定的商业种中,有一种是鱿鱼。鱿鱼是一种海洋头足类软体动物。每一种鱿鱼都有自己的特点,要对鱿鱼进行准确的分类。在总长度、外套长度、外套宽度、头长、头宽和鳍宽方面差异最大,这可以用来区分鱿鱼和一些不同种类的鱿鱼。在用形态测量法对乌贼进行物种分类时,有时通过测量乌贼的地幔、鳍和头部的特征会产生不确定性。为了克服这一问题,采用模糊推理系统对鱿鱼进行分类。本文将计算得到的特征输入到分类器中,即基于六种形态测量值的乌贼种类分类的模糊推理系统。模糊推理系统分类器的分类准确率达到88.0%。
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引用次数: 0
Investigation on mutual coupling suppression using polygon structure of microstrip patch antenna array 微带贴片天线阵列多边形结构相互耦合抑制研究
K. R. Kashwan, N. Elavarasi
In recent times, microstrip and patch antenna research has progressed rapidly. The challenges of design and meeting expectations of today's high speed communication have been overcome through advanced research in this field. However, the area of mutual coupling amongst large number of antennas in an array is yet to be explored at its fullest extent. This research paper is focused on a particular structure such as polygon to reduce the mutual coupling in an array of two microstrip patch antenna. Two microstrip patch antennas, located on common substrate in close proximity of each other are designed and simulated for the performance of the system. Next, the system is analyzed for mutual coupling. Through repeated design trials and measurement, the mutual coupling is reduced to about 2 dB. The other performance parameters of the system are estimated at −45 dB of return loss and 6 dBi of gain. The result is simulated and analyzed using advanced software tool.
近年来,微带天线和贴片天线的研究进展迅速。通过该领域的先进研究,设计和满足当今高速通信期望的挑战已经被克服。然而,阵列中大量天线之间的相互耦合区域尚未得到充分的探索。本文研究了一种特殊的结构,如多边形,以减少两个微带贴片天线阵列的相互耦合。设计并仿真了两个相邻放置在同一基片上的微带贴片天线的性能。其次,对系统的相互耦合进行了分析。通过反复的设计试验和测量,将互耦降低到2db左右。系统的其他性能参数估计为- 45 dB的回波损耗和6 dBi的增益。利用先进的软件工具对结果进行了仿真和分析。
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引用次数: 1
Detection of malicious nodes to avoid data loss in wireless networks using elastic routing table 利用弹性路由表检测无线网络中的恶意节点,避免数据丢失
A. Vijayaraj, S. Indhuja
Everyone comes under the problem, Security. Comparative to Wired network, wireless faces more problem and also it is inevitable. This paper deals how to reduce security issue and also to avoid traffic conjunction. Here, we explain how the misbehavior node is detected by the auditor in dynamic network. Auditing node is used to collect the information of each node and also used to select the trustworthy path to avoid the traffic conjunction and make the data more securable. To increase the security and speed we implement the clustering method. In that various types are used to increase the security, among those types fuzzy is one of them. In fuzzy we used binary method, which make more security in the wireless network.
每个人都面临安全问题。与有线网络相比,无线网络面临着更多的问题,也是不可避免的。本文讨论了如何减少安全问题,并避免交通合流。在这里,我们解释了在动态网络中,审计师是如何检测不当行为节点的。审计节点用于收集各节点的信息,并选择可信路径,避免流量汇聚,使数据更加安全。为了提高安全性和速度,我们采用了聚类方法。由于使用了各种类型来提高安全性,模糊类型是其中的一种。在模糊中,我们采用了二值化的方法,使无线网络更加安全。
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引用次数: 1
Development of electronic nose based on ZnO nanowires for toxic gas detection 基于ZnO纳米线的有毒气体检测电子鼻的研制
K. Avhad, N. Ramgir, R. Bhusari, R. Jishita, R. Navneethan, A. Avhad, V. M. Aranke, Rohini Panajkar, A. Debnath, R. Datta, T. K. Saha, K. Muthe, S. Gadkari
An electronic nose based on ZnO nanowires (NWs) for toxic gas detection has been demonstrated. In order to realize the multiple sensor array the ZnO NW film was selectively modified with Al, Ti, and Au layer resulting in an array of 4 × 3 sensor films. Data repository was prepared using an indigenously developed data acquisition system, testing chamber and a Labview based program. The data bank is generated by recording the response curve of the sensor array towards NO2, NO and H2S as a function of gas concentration. A simple bar chart is used to identify the target gas. It indicates a unique signature pattern for the gases under investigation.
研究了一种用于有毒气体检测的ZnO纳米线电子鼻。为了实现多传感器阵列,在ZnO NW薄膜上选择性地添加Al、Ti和Au层,形成4 × 3传感器薄膜阵列。数据存储库采用自主开发的数据采集系统、测试室和基于Labview的程序。数据库是通过记录传感器阵列对NO2、NO和H2S随气体浓度的响应曲线生成的。用一个简单的条形图来识别目标气体。它显示了正在调查的气体的独特特征模式。
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引用次数: 1
Experimental investigations on stability and noise issues of Michelson interferometer based fiber optic hydrophones 基于迈克尔逊干涉仪的光纤水听器稳定性和噪声问题的实验研究
P. George, R. Rajesh, C. V. Sreehari, K. Vivek, T. V. Praveen, Sham Kumar
Interferometric fiber optic hydrophones are projected as potential sensors for underwater security. The performance of all-fiber Michelson interferometer suitable for both fiber laser and fiber mandrel based hydrophones was analyzed in this work. Structural and optical scheme for the hydrophones are found to have crucial role in determining the stability and hence the noise of the hydrophone. Experiments were carried out to study the role of mirror vibrations and back-scattering from the fiber routings on the performance stability of the interferometer configuration. Results show that the mirrors are very sensitive to vibrations, thereby affecting the noise floor of the hydrophone. Attempts were made to reduce these noise effects to make Michelson interferometer more stable and achieved high performance.
干涉式光纤水听器是一种潜在的水下安全传感器。分析了适用于光纤激光器和光纤芯棒水听器的全光纤迈克尔逊干涉仪的性能。水听器的结构和光学方案对水听器的稳定性和噪声的影响至关重要。通过实验研究了镜面振动和光纤布线后向散射对干涉仪结构性能稳定性的影响。结果表明,反射镜对振动非常敏感,从而影响了水听器的本底噪声。为了使迈克尔逊干涉仪性能更稳定、性能更好,对这些噪声的影响进行了一些尝试。
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引用次数: 3
Design and implementation of high speed Gabor filter with variable thresholding process for disease detection 基于可变阈值过程的疾病检测高速Gabor滤波器的设计与实现
K. Radhakrishnan, D. Sri, R. Dhanalakshmi, M. Elakkiya, G. Gayathiri
In current scenario, there are number of skin related diseases such as tonsillitis, tumors, skin cancers, etc… which can be detected at an early stage and can be cured. For this a new idea is proposed which aims at designing a Gabor filter that makes accurate detection of diseases. We use an efficient pipelined architecture for input. Image segmentation for the detection of diseases is done using Gabor filter that in turn uses shift-add CORDIC algorithm for making the designing of Gabor filter easier. In addition to this algorithm, we use a new algorithm called Variable Thresholding algorithm that sets a threshold value during the decision making period. The algorithm is named variable because, the threshold value can be varied depending upon the diseases we are going to detect. All these algorithms are written in VHDL Language in MODELSIM software, which makes the designing and decision making process more effective. This technique is also implemented on FPGA/CPLD kit that shows us the presence of disease manually through lighting of LED's. Thus the decision of disease is made more accurate and faster through this design.
在目前的情况下,有许多与皮肤有关的疾病,如扁桃体炎、肿瘤、皮肤癌等,可以在早期发现并治愈。为此,提出了一种新的思想,即设计一种能够准确检测疾病的Gabor滤波器。我们使用高效的流水线架构进行输入。疾病检测的图像分割使用Gabor滤波器,而Gabor滤波器又使用shift-add CORDIC算法,使Gabor滤波器的设计更容易。在此算法之外,我们还使用了一种新的算法,称为可变阈值算法,该算法在决策期间设置一个阈值。该算法被命名为变量,因为阈值可以根据我们要检测的疾病而变化。这些算法在MODELSIM软件中用VHDL语言编写,使设计和决策过程更加有效。该技术也在FPGA/CPLD套件上实现,通过LED的照明手动显示疾病的存在。通过该设计,使得疾病的判定更加准确和快捷。
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引用次数: 4
Determination of deformation of composite material using harmonic analysis 用谐波分析法测定复合材料的变形
Komal Govindalwar, Vijaykumar R. Bhanuse, J. Gaikwad, S. Patankar, J. Kulkarni
Composite materials have beneficial uses in Aerospace, Structural engineering particularly in weight reduction in the finished part. For that reason, harmonic analysis has been the topic of intensive research. This paper aims to carry out an algorithm for natural frequency and deformation of composite plate by vibration signal analysis. The vibration signal is measured using piezoelectric type accelerometer. The ARX model and FFT of the signal is simulated using MATLAB. Natural frequency is used to calculate the deformation of the plate. The results are validated with finite element method.
复合材料在航空航天、结构工程,特别是在减轻成品重量方面有很好的应用。因此,谐波分析一直是人们深入研究的课题。本文旨在通过振动信号分析实现复合材料板固有频率和变形的计算算法。用压电式加速度计测量振动信号。利用MATLAB对信号的ARX模型和FFT进行了仿真。用固有频率计算板的变形。用有限元法对结果进行了验证。
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引用次数: 1
期刊
2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)
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