2017 International conference of Electronics, Communication and Aerospace Technology (ICECA)最新文献

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Using AEPI method for hand gesture recognition in varying background and blurred images 利用AEPI方法进行不同背景和模糊图像下的手势识别
A. Dehankar, Sanjeev Jain, V. Thakare
{"title":"Using AEPI method for hand gesture recognition in varying background and blurred images","authors":"A. Dehankar, Sanjeev Jain, V. Thakare","doi":"10.1109/ICECA.2017.8203715","DOIUrl":"https://doi.org/10.1109/ICECA.2017.8203715","url":null,"abstract":"Due to the advancement in technology, new methods for human computer interaction are getting developed very rapidly. Interacting with computers or mobile devices through hand gestures is one of the important research area where researchers are trying to implement new user interfaces by applying various methods. The Hand Gesture Recognition system is useful to detect the gestures with the help of image capturing devices installed on computer and other gadgets. The rapid growth and improvement of mobile phones in past few years led to innovations in visualization and interaction with devices. Touchscreen gestures are widely used for interactivity in such devices but in near future the users may demand for more natural interaction methods. In this paper, the Accurate End Point Identification method is implemented and applied on gesture images which are captured in varying background and it is also applied on blurred images containing multiple objects. The AEPI method accurately recognizes the gestures from such images and provides a new dimension to implement user interface that will help to provide more natural inputs through hand gestures.","PeriodicalId":222768,"journal":{"name":"2017 International conference of Electronics, Communication and Aerospace Technology (ICECA)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127650003","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
A different image content-based retrievals using OCR techniques 基于OCR技术的不同图像内容检索
Poonam A. Wankhede, S. Mohod
{"title":"A different image content-based retrievals using OCR techniques","authors":"Poonam A. Wankhede, S. Mohod","doi":"10.1109/ICECA.2017.8212785","DOIUrl":"https://doi.org/10.1109/ICECA.2017.8212785","url":null,"abstract":"It is very difficult to retrieve image from large no of database which contain some message on it. The OCR techniques are becoming very efficient techniques for external and fast retrievals. The OCR technique search image based on data or text written on image. It search image or message contain in the image OCR the mechanical or electronic conversion of images of typed, handwritten or printed text, whether from scanned document, a scene-photo. For that Tesseract will use. After recognizing text from image by OCR, it will store that message in any file. After that we used Boyer-Moore string search algorithm, for searching string stored in file.","PeriodicalId":222768,"journal":{"name":"2017 International conference of Electronics, Communication and Aerospace Technology (ICECA)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129308297","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: 10
Emotion recognition from speech using MFCC and DWT for security system 基于MFCC和DWT的语音情感识别在安防系统中的应用
S. T. Saste, S. Jagdale
{"title":"Emotion recognition from speech using MFCC and DWT for security system","authors":"S. T. Saste, S. Jagdale","doi":"10.1109/ICECA.2017.8203631","DOIUrl":"https://doi.org/10.1109/ICECA.2017.8203631","url":null,"abstract":"In recent years the emotion recognition from speech is area of more interest in human computer interaction. There are many different researchers which worked on emotion recognition from speech with different systems. This paper attempts emotion recognition from speech which is language independent. The emotional speech samples database is used for feature extraction. For feature extraction MFCC and DWT these two different algorithms are used. For classification of different emotions like angry, happy, scared and neutral state SVM classifier is used. The classification is based on the feature vector formed by fusion of two algorithms. This classified emotion is used for ATM security system.","PeriodicalId":222768,"journal":{"name":"2017 International conference of Electronics, Communication and Aerospace Technology (ICECA)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126858200","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: 38
Construction of estimated level based balanced binary search tree 基于估计水平的平衡二叉搜索树的构造
Dr.Chinnaiyan R, Abhishek Kumar
{"title":"Construction of estimated level based balanced binary search tree","authors":"Dr.Chinnaiyan R, Abhishek Kumar","doi":"10.1109/ICECA.2017.8203701","DOIUrl":"https://doi.org/10.1109/ICECA.2017.8203701","url":null,"abstract":"There are many storage structure available to store data in memory of many forms. These structures can be array, class, linked list with its various forms, Tree, Binary Tree, Binary Search Tree (BST), etc. These can be differentiated in two major forms. First one uses continuous memory allocation and the second one can occupy any free memory block by pointed by the other memory locations. An array occupies continuous memory space for storage purpose and the size should also be known before allocating the space. Perhaps we can use dynamic memory allocation methods for arrays but a Linked List provides better options. There is a disadvantage in Linked List, it does not allow to perform binary search operation on it. The Binary Search Tree is more efficient than the other mentioned data structures. BST provides the two way traversal direction but sometimes the structure of the BST can become unbalanced due to unprocessed ordering of inserted data. In this presented paper, the BST is considered as unbalanced if the number of levels is more than the levels which is required to hold the nodes. The unbalanced BST can lead to a straight tree structure with only one intermediate node at each and every level in the worst case scenario. The structure of BST depends on the insertion order of key elements. By changing the insertion order, BST can be made balanced. The proposed Estimated Level Based Balanced BST provides a solution for finding an insertion order of key elements which will not lead to unbalanced Balanced BST.","PeriodicalId":222768,"journal":{"name":"2017 International conference of Electronics, Communication and Aerospace Technology (ICECA)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126396442","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: 6
Peltier integrated heating & cooling jacket 珀尔捷集成加热和冷却夹套
Jeena Raju Poikayil, Jeffy Francis, Deepa Saju, Akhil. P. Suresh, J. Varghese
{"title":"Peltier integrated heating & cooling jacket","authors":"Jeena Raju Poikayil, Jeffy Francis, Deepa Saju, Akhil. P. Suresh, J. Varghese","doi":"10.1109/ICECA.2017.8212812","DOIUrl":"https://doi.org/10.1109/ICECA.2017.8212812","url":null,"abstract":"Any person who intends to travel outdoor must be prepared to deal with all sorts of weather, starting from the dry hot condition to the chilled coolness. The extremities of both the conditions can lead to serious health problems. Changes in single degree can affect body's biochemistry leading to various abnormalities. There is a limitation to which layers of clothing can be piled onto our body as well as taking steps to betray ourselves from the extreme hot weather. An appropriate solution to the extremities of weather is introduced. With the touch of a single button, the user can control the body temperature in response to the external temperature. Acute mountain sickness, high altitude cough are common problems found among mountain climbers which are caused due to the temperature variations. Similarly in cold countries it is difficult for the humans to survive. In every such situation the proposed system helps the user efficiently. Such a suit helps the user to control and monitor the internal temperature of the suit from high temperatures to low temperatures, depending on the season, provided it guards the user from such illness caused due to climate changes and unexpected heating or cooling effects. This system is thus an efficient and adamant solution to the drastic change in weather which causes many ill effects to humans. The usefulness and practicality of such a suit is the motivating factor of embarking on the proposed system.","PeriodicalId":222768,"journal":{"name":"2017 International conference of Electronics, Communication and Aerospace Technology (ICECA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123069315","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
Automatic nerve segmentation of ultrasound images 超声图像的自动神经分割
M. Baby, A. S. Jereesh
{"title":"Automatic nerve segmentation of ultrasound images","authors":"M. Baby, A. S. Jereesh","doi":"10.1109/ICECA.2017.8203654","DOIUrl":"https://doi.org/10.1109/ICECA.2017.8203654","url":null,"abstract":"Ultrasound guided regional anesthesia (UGRA) is the Regional Anesthesia (RA) technique of injecting the anesthetic in required amounts depending on the region to be covered using ultrasound images of patients. It is one of the fields which is steadfastly growing in medical imaging, providing advances in ultrasound imaging technology. However, nerve identification continues to remain as one of the most challenging tasks that anesthetists can encounter in the UGRA technique of injection. One of the main reasons of this include the low quality of the ultrasound images which are affected by the introduction of unwanted speckle noise. Since, Regional anesthesia (RA) is one of most frequently undertaken tasks in hospitals throughout the world to reduce or nullify the effect of the persistent pain in patients, any discrepancy in providing anesthesia can lead to severe damage to the respective region of the body or side effects to the rest of the body and also to the life of the patient. This enhances the need for correctly identifying the right nerve region to provide anesthesia. In this paper, we survey the conventional methods [1] used in biomedical image processing. For each stage of the processing, we have performed comparison with the different methodologies and we propose a combination of the methods which gives the best performance.","PeriodicalId":222768,"journal":{"name":"2017 International conference of Electronics, Communication and Aerospace Technology (ICECA)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121172480","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: 24
A study relation between energy spectral density and probability density function with impulse response first order control system 研究了脉冲响应一阶控制系统的能谱密度与概率密度函数的关系
Anjani Kumar, Namita Arya
{"title":"A study relation between energy spectral density and probability density function with impulse response first order control system","authors":"Anjani Kumar, Namita Arya","doi":"10.1109/ICECA.2017.8212784","DOIUrl":"https://doi.org/10.1109/ICECA.2017.8212784","url":null,"abstract":"According to classical control theory my idea In basic first order system discuss impulse response and energy spectral density of first order system transfer function. If system under damped condition impulse response is an energy signal. Hence determine energy and energy spectral density of impulse response. After discussion Its impulse response and energy spectral density are a probability distribution function according some mathematical condition.","PeriodicalId":222768,"journal":{"name":"2017 International conference of Electronics, Communication and Aerospace Technology (ICECA)","volume":"19 11-12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116699513","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: 5
Application of compression after the detection of endometrial carcinoma imaging: Future scopes 子宫内膜癌影像学检测后压迫的应用:未来范围
L. Thampi, V. Paul
{"title":"Application of compression after the detection of endometrial carcinoma imaging: Future scopes","authors":"L. Thampi, V. Paul","doi":"10.1109/ICECA.2017.8203696","DOIUrl":"https://doi.org/10.1109/ICECA.2017.8203696","url":null,"abstract":"Medical Imaging is an important keystone of modem healthcare and will continue to play a role of ever increasing importance at all levels of the healthcare system due to advances in imaging technology (US, CT, MR and Molecular Imaging). Due to this big data of medical images, compression is required to achieve efficient transmission and storage. The proposed procedure is applied to diverse ultrasound cancerous images (endometrial cancer). Hence diagnosis of this type of uterus cancer in the premier stage is crucial, certain segmentation algorithms are applied and these will separate the infected region from the background which will be easy for the medical practitioners to decide the cancer and steer medication. The ultrasound image which is developed from an organ is preprocessed and the filtered image is given to level set segmentation and finally the contextual part of the image is encoded using wavelet decomposition.","PeriodicalId":222768,"journal":{"name":"2017 International conference of Electronics, Communication and Aerospace Technology (ICECA)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116721281","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
Route alignment between the corridors through the applications of RS and GIS — Perundurai to Palani, Tamil Nadu, India 利用遥感和地理信息系统对走廊之间的路线进行校准-印度泰米尔纳德邦的Perundurai至Palani
S. Loganathan, K. Elangovan
{"title":"Route alignment between the corridors through the applications of RS and GIS — Perundurai to Palani, Tamil Nadu, India","authors":"S. Loganathan, K. Elangovan","doi":"10.1109/ICECA.2017.8212805","DOIUrl":"https://doi.org/10.1109/ICECA.2017.8212805","url":null,"abstract":"Selecting the best route between the corridors and aligning between them is a intricate one due to the consideration of more number of variables. It is made through geology, topographical, geomorphology, built-up areas with environmental features representation on Remote Sensing (RS) and Geographical Information Systems (GIS). From this it is easy to recognize shortest path between the corridors for the vehicles travelling as of Perundurai towards Palani with the reduction in time of journey along possibilities of aligning eco-friendly highway. This progression implies compensation of GIS potential in creating overlay maps on merging them along executing spatial analysis through different layers on 2D or 3D. A Model of Highway alignment and route location through GIS applications along with this alternatives are premeditated on ArcGIS9.3, on this best alternative path is analyzed, evaluated and Selected with the impacts of Economy and on Environmental facts. The elected artery is designed to unite three districts viz. Erode, Tirupur and Dindugal. In the Ultimate phases of inspection and evaluation, model represents lofty potential in examining the impact of every option through spatial relations and buffering. Trough this right route, left route and middle route of different paths are recognized. Among this Right route is identified as finest path which satisfies on least cost and eco-friendly environment along least number of bridges and culverts.","PeriodicalId":222768,"journal":{"name":"2017 International conference of Electronics, Communication and Aerospace Technology (ICECA)","volume":"217 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115178099","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
The study of the effect of denoising on vectorized convolutional neural network 矢量化卷积神经网络去噪效果的研究
G. Reddy, K. Prasad, E. Amareswar, Ch. Susritha, R. Karthik, M. Subashini
{"title":"The study of the effect of denoising on vectorized convolutional neural network","authors":"G. Reddy, K. Prasad, E. Amareswar, Ch. Susritha, R. Karthik, M. Subashini","doi":"10.1109/ICECA.2017.8212728","DOIUrl":"https://doi.org/10.1109/ICECA.2017.8212728","url":null,"abstract":"The remotely sensed high dimensional hyperspectral imagery is a single capture of a scene at different spectral wavelengths. Since it contains an enormous amount of information, it has multiple areas of application in the field of remote sensing, forensic, biomedical etc. Hyperspectral images are very prone to noise due to atmospheric effects and instrumental errors. In the past, the bands which were affected by noise were discarded before further processing such as classification. Therefore along with the noise the relevant features present in the hyperspectral image are lost. To avoid this, researchers developed many denoising techniques. The goal of denoising technique is to remove the noise effectively while preserving the important features. Recently, the convolutional neural network (CNN) servers as a bench mark on vision related task. Hence, hyperspectral images can be classified using CNN. The data is fed to the network as pixel vectors thus called Vectorized Convolutional Neural Network (VCNN). The goal of this work is to determine the effect of denoising on VCNN. Here, VCNN functions as the classifier. For the purpose of comparison and to analyze the effect of denoising on VCNN the network is trained with raw data (without denoising) and denoised data using techniques such as: Total Variation (TV), Wavelet, and Least Square. The performance of the classifier is evaluated by analyzing its precision, recall, and F1-score. Also, comparison based on class-wise accuracies and average accuracies for all the methods has been performed. From the comparative classification result, it is observed that Least Square denoising performs well on VCNN.","PeriodicalId":222768,"journal":{"name":"2017 International conference of Electronics, Communication and Aerospace Technology (ICECA)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122905293","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
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