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2015 International Conference on Pervasive Computing (ICPC)最新文献

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Enhanced channel estimation for Spatial Multiplexing MIMO-OFDM system 空间复用MIMO-OFDM系统的改进信道估计
2015 International Conference on Pervasive Computing (ICPC) Pub Date : 2015-04-16 DOI: 10.1109/PERVASIVE.2015.7086975
Gajanan R. Patil, V. K. Kokate
{"title":"Enhanced channel estimation for Spatial Multiplexing MIMO-OFDM system","authors":"Gajanan R. Patil, V. K. Kokate","doi":"10.1109/PERVASIVE.2015.7086975","DOIUrl":"https://doi.org/10.1109/PERVASIVE.2015.7086975","url":null,"abstract":"This paper presents, an enhanced channel estimation for Spatial Multiplexing (SM) Multiple Input Multiple Output (MIMO) Orthogonal Frequency Division Multiplexing (OFDM) system. Initial estimate of the channel is obtained using pilot assisted Least Square (LS) channel estimation using frequency domain approach. Recovered symbols are used to further enhance the channel estimate through time domain approach. The performance of the proposed estimator is demonstrated using computer simulations which are carried out under different channel conditions.","PeriodicalId":442000,"journal":{"name":"2015 International Conference on Pervasive Computing (ICPC)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123212766","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
ISA customization for application specific instruction set processors 针对特定于应用程序的指令集处理器的ISA定制
2015 International Conference on Pervasive Computing (ICPC) Pub Date : 2015-04-16 DOI: 10.1109/PERVASIVE.2015.7087117
M. Singh, M. Jain
{"title":"ISA customization for application specific instruction set processors","authors":"M. Singh, M. Jain","doi":"10.1109/PERVASIVE.2015.7087117","DOIUrl":"https://doi.org/10.1109/PERVASIVE.2015.7087117","url":null,"abstract":"Instruction set architecture (ISA) of a processor fills the semantic gap between user and machine. A good ISA for a particular application should be able to address the issues of programmability, implementability, and compatibility. An application specific instruction set processor (ASIP) is a processor designed for a particular application. ISA customization is the process of integrating application specific ISEs (Instruction Set Extensions) into an ASIP's instruction set architecture. ISA customization pose a major challenge in realizing deigns for application specific processors. This paper is an attempt to investigate contemporary instruction set architectures and to identify issues in ISA customization for application specific instruction set processors.","PeriodicalId":442000,"journal":{"name":"2015 International Conference on Pervasive Computing (ICPC)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126753343","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
Detection of lung cancer using marker-controlled watershed transform 标记控制分水岭变换检测肺癌
2015 International Conference on Pervasive Computing (ICPC) Pub Date : 2015-04-16 DOI: 10.1109/PERVASIVE.2015.7087031
S. Kanitkar, N. D. Thombare, S. Lokhande
{"title":"Detection of lung cancer using marker-controlled watershed transform","authors":"S. Kanitkar, N. D. Thombare, S. Lokhande","doi":"10.1109/PERVASIVE.2015.7087031","DOIUrl":"https://doi.org/10.1109/PERVASIVE.2015.7087031","url":null,"abstract":"The major cause of cancer death is lung cancer. Detection of cancer in the early phase can provide more treatment options, less invasive surgery and increases the survival rate. For lung cancer, if the disease is detected in time, the survival rate of patient increases from 14 to 49% in recent 5 years. It is the most dangerous and widespread disease in the world. The cancer cells present in lung causes lung cancer disease. This cells detection is very important issue for medical researchers. The chances of an effective treatment will significantly increases with early detection. The Computed Tomography (CT) images are used which are more efficient than X-ray. MATLAB is widely used software for the study of lung cancer detection from CT scan images. The process includes image pre-processing, image segmentation, feature extraction and classification technique. This present work proposes a method to detect the cancerous cells effectively from the lung CT scan images. It will minimize the detection error made by the physicians' naked eye.","PeriodicalId":442000,"journal":{"name":"2015 International Conference on Pervasive Computing (ICPC)","volume":"10 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120999689","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: 39
Intelligent Object Sorting Insolent System 智能对象分类系统
2015 International Conference on Pervasive Computing (ICPC) Pub Date : 2015-04-16 DOI: 10.1109/PERVASIVE.2015.7087157
P. Chavan, S. Kale, P. Gaikwad, S. Ghadge
{"title":"Intelligent Object Sorting Insolent System","authors":"P. Chavan, S. Kale, P. Gaikwad, S. Ghadge","doi":"10.1109/PERVASIVE.2015.7087157","DOIUrl":"https://doi.org/10.1109/PERVASIVE.2015.7087157","url":null,"abstract":"In today's world, maximum of the industrial unit we can find definite robots which were made for that quantified task and they can't be reconfigured to exhibit robust nature majorly because of their design. In relentless working regions most of the time human efforts may lead to fiasco, industrial environment may include hazardous operations. Thus to avoid any ill effects we came up with an idea of “Intelligent Object Sorting Insolent System (IOSiS)”. In this paper we have enlightened the use of image processing, incorporated with robotics to demonstrate an application. IOSiS main object is to highlight the use of robotics to manipulate human functionality to ease tedious operations. A mechanical arm and for visual sensors, a camera is embedded onto the system. For demonstration of this application, capabilities a scenario is created in which the robot captures the image of the object and in accordance to its configuration it detects it and using the maneuverable arm, it places the object to desired location. The paper tackles multiple problems to become robust, autonomous and accurate to its functionality. With complex algorithms from image processing the data is manipulated into fast processing embedded application which produces an output on a real-time basis. To further accompany the autonomous nature of the system on field, a data logging and monitoring from a remote location via internet is also shown to explain the efficiency of this application. An internet logging shows its capabilities in being a part of centralized operation in any industry.","PeriodicalId":442000,"journal":{"name":"2015 International Conference on Pervasive Computing (ICPC)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116616801","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
An improved cluster head selection approach for energy efficiency in wireless sensor networks: A review 一种改进的无线传感器网络能源效率簇头选择方法:综述
2015 International Conference on Pervasive Computing (ICPC) Pub Date : 2015-04-16 DOI: 10.1109/PERVASIVE.2015.7087190
Snehal Dongare, Ramchandra S. Mangrulkar
{"title":"An improved cluster head selection approach for energy efficiency in wireless sensor networks: A review","authors":"Snehal Dongare, Ramchandra S. Mangrulkar","doi":"10.1109/PERVASIVE.2015.7087190","DOIUrl":"https://doi.org/10.1109/PERVASIVE.2015.7087190","url":null,"abstract":"In this paper, we analyze various energy efficient routing protocols to improve the lifetime of wireless sensor networks. WSNs are composed of a large number of sensor nodes which have limited energy. Energy conservation is a very critical issue to design energy efficient routing techniques in wireless sensor networks. The paper reviews the traditional energy efficient protocols to improve cluster head selection approach. The proposed algorithm considers the sensor nodes residual energy to select optimal cluster head for next round of cluster head selection algorithm. The algorithm guarantees the entire network stays alive for longer time than the other existing energy efficient techniques. The proposed technique thus improves the overall performance of wireless sensor networks in terms of increasing the lifetime of sensor nodes, reducing the bandwidth consumption and latency of WSNs. Also balancing energy distribution among all nodes of the network increases the round number at which the first node dies which reduces the energy holes in WSNs.","PeriodicalId":442000,"journal":{"name":"2015 International Conference on Pervasive Computing (ICPC)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121809587","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
Efficient image search using hybride features and TCH 基于混合特征和TCH的高效图像搜索
2015 International Conference on Pervasive Computing (ICPC) Pub Date : 2015-04-16 DOI: 10.1109/PERVASIVE.2015.7087193
Ranjit Banshpal, N. Mahajan
{"title":"Efficient image search using hybride features and TCH","authors":"Ranjit Banshpal, N. Mahajan","doi":"10.1109/PERVASIVE.2015.7087193","DOIUrl":"https://doi.org/10.1109/PERVASIVE.2015.7087193","url":null,"abstract":"In present time, there is a huge growth of digital images and video archives. Some of these are very important for user point of view. These collections of digital images most of the time may be for personal use and may be for public use. For searching images from database always need secure and efficient techniques, which occurs by the proper arrangement of data in the database. Here using hashing for the efficient arrangement of data and a SURF algorithm for proper and efficient image feature retrieval; along with this there is also using OTP for secure communication between the user and database while data access.","PeriodicalId":442000,"journal":{"name":"2015 International Conference on Pervasive Computing (ICPC)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131151427","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
DICOM image size reduction and data embedding using randomization technique 采用随机化技术的DICOM图像尺寸缩减和数据嵌入
2015 International Conference on Pervasive Computing (ICPC) Pub Date : 2015-04-16 DOI: 10.1109/PERVASIVE.2015.7087166
Mayuri Bomewar, T. Baraskar, V. Mankar
{"title":"DICOM image size reduction and data embedding using randomization technique","authors":"Mayuri Bomewar, T. Baraskar, V. Mankar","doi":"10.1109/PERVASIVE.2015.7087166","DOIUrl":"https://doi.org/10.1109/PERVASIVE.2015.7087166","url":null,"abstract":"With the development of Internet technologies, digital media can be transmitted conveniently over the Internet. However, medical information transmissions over the Internet still have to face all kinds of problem such as network bandwidth, integrity of data, image quality and security. Normally Medical images are in DICOM (Digital Imagine in Communication and Medicine) format. The DICOM technology is suitable when sending images between different departments within hospitals or/and other hospitals, and consultant. However, the header file to DICOM image adds additional size to the image. We have proposed new techniques of transforming DICOM format in to BMP(Bitmap Image file) format and divide data into two parts and embedding a patient data in an image in odd, number memory location of image pixel values. Fix length Huffman compression is applied to get lossless compressed image. This investigation mainly focuses on computing the data hiding capacity, Compression Ratio, Mean Square Error (MSE) and Peak to Signal Noise Ratio (PSNR) of medical images.","PeriodicalId":442000,"journal":{"name":"2015 International Conference on Pervasive Computing (ICPC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131318795","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
Crawler intelligence with machine learning and Data Mining integration 爬虫智能与机器学习和数据挖掘集成
2015 International Conference on Pervasive Computing (ICPC) Pub Date : 2015-04-16 DOI: 10.1109/PERVASIVE.2015.7087203
Abhiraj Darshakar
{"title":"Crawler intelligence with machine learning and Data Mining integration","authors":"Abhiraj Darshakar","doi":"10.1109/PERVASIVE.2015.7087203","DOIUrl":"https://doi.org/10.1109/PERVASIVE.2015.7087203","url":null,"abstract":"This paper presents a study conducted on intelligent crawlers used in search engines, competitive intelligence etc. Data mining algorithms identified by IEEE International Conference on Data Mining (ICDM) were used to aid machine learning and introduce intelligence into the crawler. A statistical analysis of performance of intelligent crawler is presented in this paper. Further in this paper the data mining algorithms are compared on basis of usability in crawlers.","PeriodicalId":442000,"journal":{"name":"2015 International Conference on Pervasive Computing (ICPC)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132925722","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
Performance analysis of energy and eigenvalue based detection for spectrum sensing in Cognitive Radio network 认知无线电网络中基于能量和特征值的频谱感知检测性能分析
2015 International Conference on Pervasive Computing (ICPC) Pub Date : 2015-04-16 DOI: 10.1109/PERVASIVE.2015.7087010
Sheetal Jain, M. Deshmukh
{"title":"Performance analysis of energy and eigenvalue based detection for spectrum sensing in Cognitive Radio network","authors":"Sheetal Jain, M. Deshmukh","doi":"10.1109/PERVASIVE.2015.7087010","DOIUrl":"https://doi.org/10.1109/PERVASIVE.2015.7087010","url":null,"abstract":"Cognitive Radio (CR) has recently been active area of research because of its ability to opportunistically share the spectrum. Spectrum sensing is an important functionality of cognitive radio by which the CR can sense the spectrum in nearly real time and provide knowledge of white spaces in the spectrum. It is desired in general to sense the primary signal at very low signal strength i.e. low Signal to Noise ratio (SNR) especially when the CR network (CRN) is to be operated on TV white spaces. Various detection algorithms have been researched in different conditions. This paper presents the performance analysis of energy detector and Eigen Value Based (EBD) detector in presence of very low SNRs.","PeriodicalId":442000,"journal":{"name":"2015 International Conference on Pervasive Computing (ICPC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133738186","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
Structural health monitoring of river bridges using wireless sensor networks 基于无线传感器网络的河流桥梁结构健康监测
2015 International Conference on Pervasive Computing (ICPC) Pub Date : 2015-04-16 DOI: 10.1109/PERVASIVE.2015.7086979
Pooja R. Kamble, R. Vatti
{"title":"Structural health monitoring of river bridges using wireless sensor networks","authors":"Pooja R. Kamble, R. Vatti","doi":"10.1109/PERVASIVE.2015.7086979","DOIUrl":"https://doi.org/10.1109/PERVASIVE.2015.7086979","url":null,"abstract":"The river bridges are the main connective parts of the world. The deterioration or damage of the river bridges occurs due to natural disasters, environmental conditions or may be changes takes place under the piers causes loss of connectivity, loss of lives, excessive repairs at times. Therefore it is important to monitor the structural health of river bridges. The major cause of the structural health degradation is scour. This paper consist the various existing scour monitoring techniques. The existing methods for scour monitoring are facing severe problem. Hence in this paper low cost wireless sensor network based solution to monitor the structural health.","PeriodicalId":442000,"journal":{"name":"2015 International Conference on Pervasive Computing (ICPC)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134409110","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
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