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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
2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS) Pub Date : 2017-05-01 DOI: 10.1109/SSPS.2017.8071630
C. Lakshmi, K. Lavanya, T. Babu
{"title":"Design of feedpump condition monitoring using remote webpage","authors":"C. Lakshmi, K. Lavanya, T. Babu","doi":"10.1109/SSPS.2017.8071630","DOIUrl":"https://doi.org/10.1109/SSPS.2017.8071630","url":null,"abstract":"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.","PeriodicalId":382353,"journal":{"name":"2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129564116","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: 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
2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS) Pub Date : 2017-05-01 DOI: 10.1109/SSPS.2017.8071617
S. Pavithra, P. Bhuvaneswari
{"title":"PSO based obstacle detection for indoor cleaning robot","authors":"S. Pavithra, P. Bhuvaneswari","doi":"10.1109/SSPS.2017.8071617","DOIUrl":"https://doi.org/10.1109/SSPS.2017.8071617","url":null,"abstract":"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.","PeriodicalId":382353,"journal":{"name":"2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129016185","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: 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
2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS) Pub Date : 2017-05-01 DOI: 10.1109/SSPS.2017.8071587
Ronak Chudasama, Sagar Dobariya, Komal Patel, Hezal Lopes
{"title":"DAPS: Dairy analysis and prediction system using technical indicators","authors":"Ronak Chudasama, Sagar Dobariya, Komal Patel, Hezal Lopes","doi":"10.1109/SSPS.2017.8071587","DOIUrl":"https://doi.org/10.1109/SSPS.2017.8071587","url":null,"abstract":"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.","PeriodicalId":382353,"journal":{"name":"2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126168889","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
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
2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS) Pub Date : 2017-05-01 DOI: 10.1109/SSPS.2017.8071583
K. Himabindu, S. Jyothi, D. M. Mamatha
{"title":"Squids species classification using fuzzy inference system based on morphometric measurements","authors":"K. Himabindu, S. Jyothi, D. M. Mamatha","doi":"10.1109/SSPS.2017.8071583","DOIUrl":"https://doi.org/10.1109/SSPS.2017.8071583","url":null,"abstract":"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%.”","PeriodicalId":382353,"journal":{"name":"2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128134197","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: 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
2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS) Pub Date : 2017-05-01 DOI: 10.1109/SSPS.2017.8071590
K. R. Kashwan, N. Elavarasi
{"title":"Investigation on mutual coupling suppression using polygon structure of microstrip patch antenna array","authors":"K. R. Kashwan, N. Elavarasi","doi":"10.1109/SSPS.2017.8071590","DOIUrl":"https://doi.org/10.1109/SSPS.2017.8071590","url":null,"abstract":"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.","PeriodicalId":382353,"journal":{"name":"2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129313438","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: 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
2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS) Pub Date : 2017-05-01 DOI: 10.1109/SSPS.2017.8071646
A. Vijayaraj, S. Indhuja
{"title":"Detection of malicious nodes to avoid data loss in wireless networks using elastic routing table","authors":"A. Vijayaraj, S. Indhuja","doi":"10.1109/SSPS.2017.8071646","DOIUrl":"https://doi.org/10.1109/SSPS.2017.8071646","url":null,"abstract":"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.","PeriodicalId":382353,"journal":{"name":"2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133077549","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: 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
2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS) Pub Date : 2017-05-01 DOI: 10.1109/SSPS.2017.8071605
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
{"title":"Development of electronic nose based on ZnO nanowires for toxic gas detection","authors":"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","doi":"10.1109/SSPS.2017.8071605","DOIUrl":"https://doi.org/10.1109/SSPS.2017.8071605","url":null,"abstract":"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.","PeriodicalId":382353,"journal":{"name":"2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115587675","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: 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
2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS) Pub Date : 2017-05-01 DOI: 10.1109/SSPS.2017.8071582
P. George, R. Rajesh, C. V. Sreehari, K. Vivek, T. V. Praveen, Sham Kumar
{"title":"Experimental investigations on stability and noise issues of Michelson interferometer based fiber optic hydrophones","authors":"P. George, R. Rajesh, C. V. Sreehari, K. Vivek, T. V. Praveen, Sham Kumar","doi":"10.1109/SSPS.2017.8071582","DOIUrl":"https://doi.org/10.1109/SSPS.2017.8071582","url":null,"abstract":"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.","PeriodicalId":382353,"journal":{"name":"2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)","volume":"9 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114126355","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: 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
2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS) Pub Date : 2017-05-01 DOI: 10.1109/SSPS.2017.8071634
K. Radhakrishnan, D. Sri, R. Dhanalakshmi, M. Elakkiya, G. Gayathiri
{"title":"Design and implementation of high speed Gabor filter with variable thresholding process for disease detection","authors":"K. Radhakrishnan, D. Sri, R. Dhanalakshmi, M. Elakkiya, G. Gayathiri","doi":"10.1109/SSPS.2017.8071634","DOIUrl":"https://doi.org/10.1109/SSPS.2017.8071634","url":null,"abstract":"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.","PeriodicalId":382353,"journal":{"name":"2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)","volume":"48 1-2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120914673","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
Determination of deformation of composite material using harmonic analysis 用谐波分析法测定复合材料的变形
2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS) Pub Date : 2017-05-01 DOI: 10.1109/SSPS.2017.8071603
Komal Govindalwar, Vijaykumar R. Bhanuse, J. Gaikwad, S. Patankar, J. Kulkarni
{"title":"Determination of deformation of composite material using harmonic analysis","authors":"Komal Govindalwar, Vijaykumar R. Bhanuse, J. Gaikwad, S. Patankar, J. Kulkarni","doi":"10.1109/SSPS.2017.8071603","DOIUrl":"https://doi.org/10.1109/SSPS.2017.8071603","url":null,"abstract":"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.","PeriodicalId":382353,"journal":{"name":"2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)","volume":"146 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122610534","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: 1
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