2016 IEEE International Conference on Advances in Electronics, Communication and Computer Technology (ICAECCT)最新文献_第7页

Adaptive threshold based impulse detection for restoration of digital images 基于自适应阈值的数字图像脉冲检测

2016 IEEE International Conference on Advances in Electronics, Communication and Computer Technology (ICAECCT) Pub Date : 2016-12-01 DOI: 10.1109/ICAECCT.2016.7942547

U. Ghanekar, R. Pandey

引用次数: 0

Identification and sorting of power quality disturbances using signal processing with GUI 基于图形用户界面的信号处理对电能质量干扰的识别和分类

2016 IEEE International Conference on Advances in Electronics, Communication and Computer Technology (ICAECCT) Pub Date : 2016-12-01 DOI: 10.1109/ICAECCT.2016.7942556

A. Shinde, Sharad S. Jagtap, V. Puranik

{"title":"Identification and sorting of power quality disturbances using signal processing with GUI","authors":"A. Shinde, Sharad S. Jagtap, V. Puranik","doi":"10.1109/ICAECCT.2016.7942556","DOIUrl":"https://doi.org/10.1109/ICAECCT.2016.7942556","url":null,"abstract":"This paper based on the classification of the voltage signal on basis of quality. It can be achieved by various techniques according to applications and required accuracy. Feeder points at various locations of electrical substation play important role in reduction of noise from the supply voltage. However this is of less amount and considerable for general applications. In some industrial applications, this may cause a large loss due to the presence of noise. So for controlling the accuracy one can design a system which overcomes the problems arising due to noise. Using MATLAB software it is implemented for detection and identification. It has various algorithms like KNN, SVM and RBF. SVM is the powerful tool in MATLAB for identification and Classification of voltage signals, images as well as music signals. For this detection of signals, a database is applied for any type of transform. It is better to use wavelet transform for feature extraction purpose. This paper gives solution for identification and sorting of different noises in voltage signals using the pair of wavelet transform and SVM.","PeriodicalId":6629,"journal":{"name":"2016 IEEE International Conference on Advances in Electronics, Communication and Computer Technology (ICAECCT)","volume":"17 1","pages":"60-63"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78669839","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: 2

Evaluation of cooperative sensing for perfect reporting channels using dynamic detection threshold 基于动态检测阈值的完美报告通道协同感知评价

2016 IEEE International Conference on Advances in Electronics, Communication and Computer Technology (ICAECCT) Pub Date : 2016-12-01 DOI: 10.1109/ICAECCT.2016.7942588

Deepa N. Reddy, Y. Ravinder

引用次数: 2

Error analysis in soil urea prediction based on RF spectroscopy 基于射频光谱的土壤尿素预测误差分析

2016 IEEE International Conference on Advances in Electronics, Communication and Computer Technology (ICAECCT) Pub Date : 2016-12-01 DOI: 10.1109/ICAECCT.2016.7942591

S. Vernekar, Ingrid Nazareth, J. Parab, G. Naik

{"title":"Error analysis in soil urea prediction based on RF spectroscopy","authors":"S. Vernekar, Ingrid Nazareth, J. Parab, G. Naik","doi":"10.1109/ICAECCT.2016.7942591","DOIUrl":"https://doi.org/10.1109/ICAECCT.2016.7942591","url":null,"abstract":"With the growing concern for environmental pollution and shrinking land resources available for agriculture, the need for sustainable agriculture is increasing. Soil sensing plays an important role in sustainable agriculture as it provides an insight into the various soil properties thus enabling the farmer to adjust the inputs accordingly. The aim of the study is to design a soil sensor and analyze the errors in the prediction of a soil nutrient. The manuscript describes a new method for soil nutrient sensing using RF spectroscopy. The technique can predict soil urea content and is based on multivariate analysis using the PLSR (Partial Least Square Regression) mathematical tool. Eight different combinations of five important soil nutrients (Urea, Potash, Phosphate, Salt, and Lime) at varying concentration were used to develop multivariate block. The Urea prediction algorithm takes into account the effect of various other soil nutrients present in the sample. The results obtained show that the percentage error in prediction of urea is within the tolerable limits of +/−5% of the actual value, when other soil nutrient concentrations are varied below and above their normal values. The method can be extended for sensing multiple nutrients simultaneously by modifying the algorithm.","PeriodicalId":6629,"journal":{"name":"2016 IEEE International Conference on Advances in Electronics, Communication and Computer Technology (ICAECCT)","volume":"71 1","pages":"244-246"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77397354","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: 2

Neural network based gait phases of above knee prosthesis 基于神经网络的上膝假体步态相位分析

2016 IEEE International Conference on Advances in Electronics, Communication and Computer Technology (ICAECCT) Pub Date : 2016-12-01 DOI: 10.1109/ICAECCT.2016.7942555

Vaishali Shirsath, M. Dongare

引用次数: 3

Design of gap-coupled variations of slotted and shorted 60° Sector microstrip antennas 开槽和短路60°扇形微带天线的间隙耦合设计

2016 IEEE International Conference on Advances in Electronics, Communication and Computer Technology (ICAECCT) Pub Date : 2016-12-01 DOI: 10.1109/ICAECCT.2016.7942587

A. Deshmukh, Mohil Gala, S. Agrawal

引用次数: 0

Automatic joint detection and measurement of joint space width in arthritis 关节炎关节间隙宽度的自动检测与测量

2016 IEEE International Conference on Advances in Electronics, Communication and Computer Technology (ICAECCT) Pub Date : 2016-12-01 DOI: 10.1109/ICAECCT.2016.7942626

S. Bhisikar, S. Kale

{"title":"Automatic joint detection and measurement of joint space width in arthritis","authors":"S. Bhisikar, S. Kale","doi":"10.1109/ICAECCT.2016.7942626","DOIUrl":"https://doi.org/10.1109/ICAECCT.2016.7942626","url":null,"abstract":"Arthritis is an inflammatory disease which causes erosion in bones or narrowing of joint space in various joints of the body. First symptom of this disease is seen in joints of hand finger and wrist joints thus making hand radiograph analysis extremely important. Lately Reading hand X-ray radiographic image to measure joint space width is very tedious and time consuming task for the radiologist since there are 14 joints in hand and also the structure of hand is complicated to carry out joint space width measurement and analysis. It has certain disadvantages like inaccuracy because of visual measurement and also variation from one reader to another, which can be overcome by automatic technique that can serve as a powerful aid for peoples suffering from disability due to pain, stiffness in joints. In this paper, Image processing based algorithm is developed to yield solution to two major problems joint detection and JSW measurement. The algorithm is divided into following steps, First image preprocessing is carried out using Gaussian filter. Second hand mask is extracted by separating foreground and background by using Otsu's binarization method. Third morphological thinning is applied to get thinned skeleton of binarized image. Fourth To detect joint location in original X-ray image Gabor filter is used. Fifth edge Finally of minimal joint space width is extracted and analyzed automatically. We have experimented 10 digital hand X-ray radiograph of resolution 2000pixels×2000pixels and calculated 120 readings of JSW of finger joints successfully.","PeriodicalId":6629,"journal":{"name":"2016 IEEE International Conference on Advances in Electronics, Communication and Computer Technology (ICAECCT)","volume":"6 1","pages":"429-432"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74392947","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: 8

Fall detection system for older adults 老年人跌倒检测系统

2016 IEEE International Conference on Advances in Electronics, Communication and Computer Technology (ICAECCT) Pub Date : 2016-12-01 DOI: 10.1109/ICAECCT.2016.7942595

Y. Angal, A. Jagtap

引用次数: 9

Cross layer design approach for Congestion Control in MANETs manet中拥塞控制的跨层设计方法

2016 IEEE International Conference on Advances in Electronics, Communication and Computer Technology (ICAECCT) Pub Date : 2016-12-01 DOI: 10.1109/ICAECCT.2016.7942633

Mazher Khan, D. M., Sayyad Ajij D.

{"title":"Cross layer design approach for Congestion Control in MANETs","authors":"Mazher Khan, D. M., Sayyad Ajij D.","doi":"10.1109/ICAECCT.2016.7942633","DOIUrl":"https://doi.org/10.1109/ICAECCT.2016.7942633","url":null,"abstract":"In Mobile Ad-hoc Network (MANET), there is no centralized infrastructure. Nodes are free to move anywhere in the network so routing is very challenging task. Mobile nodes are responsible for link failure, interference and congestion. Congestion is one of the main reasons for degradation of performance of network. When traffic in the network increases over the stipulated capacity, congestion takes place. The traditional routing protocols are not effective for addressing the received signal strength related problems. In this paper, authors designed a new algorithm using the combination of Ad-hoc on Demand Distance Vector (AODV) and Cross layer design approach. It is referred as Congestion Control AODV (CCAODV) approach. It is used to avoid link break in MANET. Received signal strength is used as cross layer design parameter. The CCAODV protocol creates strong and stable route by using signal strength of node. The signal strength mainly depends on the parameters like transmission power of node and distance between two nodes. The cross layer design approach is tested by using Ns 2.35 simulator and compared with the AODV routing protocol.","PeriodicalId":6629,"journal":{"name":"2016 IEEE International Conference on Advances in Electronics, Communication and Computer Technology (ICAECCT)","volume":"9 1","pages":"464-468"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78876972","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: 9

Attribute based image retrieval and hypergraph learning based image search reranking 基于属性的图像检索和基于超图学习的图像搜索排序

2016 IEEE International Conference on Advances in Electronics, Communication and Computer Technology (ICAECCT) Pub Date : 2016-12-01 DOI: 10.1109/ICAECCT.2016.7942585

S. Patil, A. Dani

引用次数: 0