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2016 1st India International Conference on Information Processing (IICIP)最新文献

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Static digital signature recognition and verification using neural networks 基于神经网络的静态数字签名识别与验证
2016 1st India International Conference on Information Processing (IICIP) Pub Date : 2016-08-01 DOI: 10.1109/IICIP.2016.7975302
Prachi Chauhan, Subhash Chandra, Sushila Maheshkar
{"title":"Static digital signature recognition and verification using neural networks","authors":"Prachi Chauhan, Subhash Chandra, Sushila Maheshkar","doi":"10.1109/IICIP.2016.7975302","DOIUrl":"https://doi.org/10.1109/IICIP.2016.7975302","url":null,"abstract":"Biometrics play a crucial role in establishing an individuals identity. A signature is one of the most widely recognized way to authorize transactions and authenticate the human identity as compared to other electronic identification methods such as fingerprint and retina scans. Due to a huge demand for authentication, fast algorithms need to be assimilated for signature recognition and verification. Human signatures can be treated as an image and the techniques of neural networks can be applied to them for recognition and verification. This paper exploits a database of samples of offline signatures that are captured in an image format and this database is used to train the neural network.","PeriodicalId":220344,"journal":{"name":"2016 1st India International Conference on Information Processing (IICIP)","volume":"125 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116474547","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
Prioritization of code restructuring for severely affected classes under release time constraints 在发布时间限制下，对受严重影响的类进行代码重构的优先级排序
2016 1st India International Conference on Information Processing (IICIP) Pub Date : 2016-08-01 DOI: 10.1109/IICIP.2016.7975322
Sandhya Tarwani, A. Chug
{"title":"Prioritization of code restructuring for severely affected classes under release time constraints","authors":"Sandhya Tarwani, A. Chug","doi":"10.1109/IICIP.2016.7975322","DOIUrl":"https://doi.org/10.1109/IICIP.2016.7975322","url":null,"abstract":"Bad smells help us to look deeper into the problem as they are threat to design principles and quality of software. Redesigning helps us in restructuring code without any change in its external behavior. It is not feasible to restructure each class of the software due release time constraints. Therefore, there is a need to prioritize classes so that effort and quality can be improved. In this study, we have proposed a framework based on the combination of C & K metric suite and eleven types of bad smells. A new metric, Quality Decline Factor (QDF), has been proposed which identify the severity of the classes and helps the software maintenance team to focus only on severely affected code. Pareto analysis is also valid in this study which states that 80% of the code quality can be improved by providing redesigning treatments to 20% of the severely affected code. This study will reduce the work of software maintenance practitioners and will help them to complete their work on time.","PeriodicalId":220344,"journal":{"name":"2016 1st India International Conference on Information Processing (IICIP)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124646215","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: 7
Detect mass tissue in lung images using discrete wavelet transformation 利用离散小波变换检测肺图像中的肿块组织
2016 1st India International Conference on Information Processing (IICIP) Pub Date : 2016-08-01 DOI: 10.1109/IICIP.2016.7975362
M. Arya, Bhumika Gupta
{"title":"Detect mass tissue in lung images using discrete wavelet transformation","authors":"M. Arya, Bhumika Gupta","doi":"10.1109/IICIP.2016.7975362","DOIUrl":"https://doi.org/10.1109/IICIP.2016.7975362","url":null,"abstract":"Lung cancer leads to increased mortality rate. This paper is focused on the motive to identify the mass tissue in the lung by using the chest X-Ray image and by using the simple image processing and enhancement technique, image segmentation, DWT based Template matching after image extraction. The proposed method can be implemented with ease. The chest X-Ray image real data from the hospital is being used in this paper and this technique appearances accuracy and the precision.","PeriodicalId":220344,"journal":{"name":"2016 1st India International Conference on Information Processing (IICIP)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124842383","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
Restricted posed fish category recognition based on contour curvature 基于轮廓曲率的受限姿态鱼类分类识别
2016 1st India International Conference on Information Processing (IICIP) Pub Date : 2016-08-01 DOI: 10.1109/IICIP.2016.7975303
J. D. Gupta, B. Chanda
{"title":"Restricted posed fish category recognition based on contour curvature","authors":"J. D. Gupta, B. Chanda","doi":"10.1109/IICIP.2016.7975303","DOIUrl":"https://doi.org/10.1109/IICIP.2016.7975303","url":null,"abstract":"A method of fish category recognition is proposed. Our novelty is in feature extraction technique, which is based on determining the curvature of the contour of fish image. The category recognition of test fish is done by a suitable linear multi-class SVM classifier. To apply our algorithm, we have developed a fish image database containing six different categories of fish. The overall accuracy of our proposed algorithm is about 94%.","PeriodicalId":220344,"journal":{"name":"2016 1st India International Conference on Information Processing (IICIP)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123323912","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
Internet of Things: An approach for advancement in educational institution 物联网:教育机构发展的途径
2016 1st India International Conference on Information Processing (IICIP) Pub Date : 2016-08-01 DOI: 10.1109/IICIP.2016.7975351
Rohini Sharma
{"title":"Internet of Things: An approach for advancement in educational institution","authors":"Rohini Sharma","doi":"10.1109/IICIP.2016.7975351","DOIUrl":"https://doi.org/10.1109/IICIP.2016.7975351","url":null,"abstract":"Internet of Things (IoT) is an emerging area of research in which different aspects are being studied and published. In this paper, a high level architecture of Internet of Things is discussed in which IoT is clubbed with two other emerging technologies, Cloud Computing and Big Data Analytics. Various challenges associated with IoT are discussed and the application of IoT in day to day life is discussed in the context of an educational institution.","PeriodicalId":220344,"journal":{"name":"2016 1st India International Conference on Information Processing (IICIP)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116071653","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
Comparative study of PEGASIS based protocols in wireless sensor netwroks 无线传感器网络中基于PEGASIS协议的比较研究
2016 1st India International Conference on Information Processing (IICIP) Pub Date : 2016-08-01 DOI: 10.1109/IICIP.2016.7975320
R. Yadav, Anurag Singh
{"title":"Comparative study of PEGASIS based protocols in wireless sensor netwroks","authors":"R. Yadav, Anurag Singh","doi":"10.1109/IICIP.2016.7975320","DOIUrl":"https://doi.org/10.1109/IICIP.2016.7975320","url":null,"abstract":"A comparative study involves comparison of protocols based on some performance parameters. It helps researchers to get insight into the different parameters in relevance with the protocols which ultimately lead the way to the further advancement in the field. As improvements in the field of Wireless Sensor Networks are taking place day by day. PEGASIS is a hierarchical chain oriented protocol for routing in WSN. In this paper, some important protocols based on PEGASIS architecture; PEGASIS, EEPB, IEEPB, PDCH, PEG-Ant, PEGASIS-PBCA, PEGASIS-IBCA, MH-PEGASIS, Multi-chain PEGASIS and Modified-PEGASIS are studied and comparison is done based on parameters which are important to consider while choosing methodology for a particular application of WSNs.","PeriodicalId":220344,"journal":{"name":"2016 1st India International Conference on Information Processing (IICIP)","volume":"141 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120986123","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: 7
Effective image retrieval using polar cosine transform and local binary patterns 有效的图像检索使用极坐标余弦变换和局部二值模式
2016 1st India International Conference on Information Processing (IICIP) Pub Date : 2016-08-01 DOI: 10.1109/IICIP.2016.7975305
Pooja
{"title":"Effective image retrieval using polar cosine transform and local binary patterns","authors":"Pooja","doi":"10.1109/IICIP.2016.7975305","DOIUrl":"https://doi.org/10.1109/IICIP.2016.7975305","url":null,"abstract":"In this paper, we present a novel, effective, and efficient approach to image retrieval. Basically, it is a fusion of both global and local features of images, which achieves significantly higher retrieval competency. Initially, the global features of images are determined using polar cosine transforms (PCTs). For local features, we use rotation invariant local binary patterns (RLBP) rather than using the existing ones, which help in improving the retrieval rate and are in alignment with the rotation invariant property of PCTs. The combination of both acquired global and local features is performed by mapping their features into a common domain. Finally, the proposed hybrid approach provides a robust feature set for image retrieval. Detailed experiments are performed on various sorts of image databases. The results of extensive set of experiments reveal the supremacy of the proposed approach over other approaches in terms of efficiency and retrieval results.","PeriodicalId":220344,"journal":{"name":"2016 1st India International Conference on Information Processing (IICIP)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132194736","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
A stochastic geometry analysis of RF energy harvesting based D2D communication in downlink cellular networks 下行蜂窝网络中基于射频能量采集的D2D通信的随机几何分析
2016 1st India International Conference on Information Processing (IICIP) Pub Date : 2016-08-01 DOI: 10.1109/IICIP.2016.7975387
Veerpal Kaur, S. Thangjam
{"title":"A stochastic geometry analysis of RF energy harvesting based D2D communication in downlink cellular networks","authors":"Veerpal Kaur, S. Thangjam","doi":"10.1109/IICIP.2016.7975387","DOIUrl":"https://doi.org/10.1109/IICIP.2016.7975387","url":null,"abstract":"RF energy harvesting and D2D communication technologies have the potential to provide energy and the spectrum replenishment for the wireless networks. In this paper, we propose a network model for the performance analysis of D2D communication with RF energy harvesting in a peer to peer simultaneous wireless information and power transfer (SWIPT) strategy with the RF transmitters. We use the stochastic geometry models such as Poisson point process (PPP) and the Ginibre Determinantal point process (DPP) for the distribution of the base stations, cellular and the D2D users in cellular network. The D2D users use one of the channel allocated to the cellular users during transmission by using the prioritize spectrum access policy (PSA). The proposed network model is simulating in the MATLAB for the performance analysis and the results are equated above 10,000 recitations. The results show that the DPP distribution is more effective in D2D communication with SWIPT transmission and energy harvesting than PPP.","PeriodicalId":220344,"journal":{"name":"2016 1st India International Conference on Information Processing (IICIP)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134399324","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
Application of different machine learning techniques in identifying features of protein sequence data 不同机器学习技术在蛋白质序列数据特征识别中的应用
2016 1st India International Conference on Information Processing (IICIP) Pub Date : 2016-08-01 DOI: 10.1109/IICIP.2016.7975376
Swati Mishra, Mukesh Kumar, S. K. Rath
{"title":"Application of different machine learning techniques in identifying features of protein sequence data","authors":"Swati Mishra, Mukesh Kumar, S. K. Rath","doi":"10.1109/IICIP.2016.7975376","DOIUrl":"https://doi.org/10.1109/IICIP.2016.7975376","url":null,"abstract":"This study is carried out on application of different machine learning techniques for prediction of features using bioinformatics data such as that of cancer. The prediction process is undertaken based on feature extraction and then on feature selection process. After selecting the relevant features, machine learning techniques like Support vector machine (SVM), Extreme learning machine (ELM) are applied for classification of the right kind of features. The results obtained with these classifiers are then tested using various test datasets like egfr, TP53, cosmic2plus etc, in order to identify cancer-associated mutations and passenger mutations i.e. neutral polymorphism.","PeriodicalId":220344,"journal":{"name":"2016 1st India International Conference on Information Processing (IICIP)","volume":"305 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132418559","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
Improving lifetime of wireless sensor networks by mitigating correlated data using LEACH protocol 利用LEACH协议减轻相关数据，提高无线传感器网络的生存期
2016 1st India International Conference on Information Processing (IICIP) Pub Date : 2016-08-01 DOI: 10.1109/IICIP.2016.7975316
Rajat Kandpal, Rajesh Singh
{"title":"Improving lifetime of wireless sensor networks by mitigating correlated data using LEACH protocol","authors":"Rajat Kandpal, Rajesh Singh","doi":"10.1109/IICIP.2016.7975316","DOIUrl":"https://doi.org/10.1109/IICIP.2016.7975316","url":null,"abstract":"WSN (Wireless sensor network) comprises of large number of tiny, inexpensive, computationally capable and energy constrained nodes that find use in various surveillance and monitoring applications. Data sensed by these nodes is transfused to the base station using various routing procedures. The pivotal issue in wireless sensor networks is of lifetime and energy conservation as the sensor nodes' energy source is often very arduous to replenish. To increase the lifetime of WSN we have proposed IL-LEACH (Improved Lifetime Low Energy Adaptive Clustering Hierarchy). Sensor nodes placed in vicinity sense correlated data which is sent to the cluster head. IL-LEACH aims to mitigating the correlated data transmissions by forming groups of nodes into virtual correlated cluster (VCC) and allowing only one node to send data. Simulation results in MATLAB demonstrate that proposed IL-LEACH increases the lifetime of sensor network by about 30.006% in comparison to the existing LEACH protocol.","PeriodicalId":220344,"journal":{"name":"2016 1st India International Conference on Information Processing (IICIP)","volume":"269 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131864162","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: 11
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