2017 Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN)最新文献_第6页

Relation recognition among named entities from a crime corpus using a web-based semantic similarity measurement 使用基于web的语义相似度度量来识别犯罪语料库中命名实体之间的关系

2017 Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN) Pub Date : 2017-11-01 DOI: 10.1109/ICRCICN.2017.8234525

Priyanka Das, A. Das

{"title":"Relation recognition among named entities from a crime corpus using a web-based semantic similarity measurement","authors":"Priyanka Das, A. Das","doi":"10.1109/ICRCICN.2017.8234525","DOIUrl":"https://doi.org/10.1109/ICRCICN.2017.8234525","url":null,"abstract":"The present work proposes an unsupervised approach for recognising relations between named entities from a large corpora based on crime in Indian states and union territories. Initially, named entities have been identified from the extracted crime corpus and certain pair of entities have been chosen that facilitates the crime analysis. Then the entity pairs with their intermediate context words have been represented as a shallow parse tree for relation instance. From the parse trees, only the head words (in each entity pair) reflecting the main meaning of the phrases has been considered for measuring a semantic similarity using a web search engine that retrieves the page count of those particular words and their conjunctives. The derived page count is used for measuring the Simpson Coefficient between the pairs and based on this similarity score, an agglomerative hierarchical clustering technique has been applied that makes several clusters of entity pairs of same relationship. The resultant clusters also have been characterised with the most frequent head word present in the group. This proposed method shows a simple similarity measure technique for relation extraction from crime data providing better accuracy than other existing methods.","PeriodicalId":166298,"journal":{"name":"2017 Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125932783","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

Face recognition using ensemble support vector machine 基于集成支持向量机的人脸识别

2017 Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN) Pub Date : 2017-11-01 DOI: 10.1109/ICRCICN.2017.8234479

A. Dey, S. Chowdhury, Manas Ghosh

引用次数: 3

An approach for secured image encryption scheme using user defined operator based steganographic technique with pixels repositioning schemes 一种基于用户自定义算子的隐写技术和像素重定位的安全图像加密方案

2017 Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN) Pub Date : 2017-11-01 DOI: 10.1109/ICRCICN.2017.8234526

Ramkrishna Das, S. Dutta

{"title":"An approach for secured image encryption scheme using user defined operator based steganographic technique with pixels repositioning schemes","authors":"Ramkrishna Das, S. Dutta","doi":"10.1109/ICRCICN.2017.8234526","DOIUrl":"https://doi.org/10.1109/ICRCICN.2017.8234526","url":null,"abstract":"Steganography is the practice of concealing information of one object within other non secret object. We replace least significant bits from enveloped image with the bits of original image at the time of LSB based image steganography. This approach is not as secured as retrieving the least significant bits from the enveloped image will provide all the information of original image. So in the proposed system, we rearrange all the pixels of the original and the enveloped image using prime and non-prime positions of the pixels. Again we reposition all the pixels using one of the user defined pixel repositioning algorithms (PRONE (positional reverse odd normal even), PRENO (positional reverse even normal odd), CRENO (continuous reverse even normal odd), CRONE (continuous reverse odd normal even)) chosen by the user for original and enveloped image separately. Lastly we perform user defined BWMAS operation (Bitwise Masking & Alternate Sequence) between the bits of original image and the least significant bits of the enveloped image. As all the pixels of both enveloped and original images are repositioned, so the pixels from original image are chosen actually in non sequential manner and the pixels, taken from enveloped image for BWMAS operation are also in non sequential manner. Only the proper sequences of the encrypted pixels defined by the user defined algorithms are being able to retrieve the information of the original image. We introduce Bitwise Masking & Alternate Sequence operation for the first time in state of XOR operation. Thus an attempt is made to increase the security of the image encryption system.","PeriodicalId":166298,"journal":{"name":"2017 Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125225259","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

Monitoring negative opinion about vaccines from tweets analysis 从推文分析中监测对疫苗的负面意见

2017 Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN) Pub Date : 2017-11-01 DOI: 10.1109/ICRCICN.2017.8234504

Eleonora D'Andrea, P. Ducange, F. Marcelloni

引用次数: 4

Self-organized criticality, causality and correlation of probability of recurrence between daily mean temperature and dew point across India 印度各地日平均温度和露点之间的自组织临界性、因果关系和复发概率的相关性

2017 Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN) Pub Date : 2017-11-01 DOI: 10.1109/ICRCICN.2017.8234488

Rajdeep Ray, Payel Majumder, M. H. Khondekar, K. Ghosh, A. Bhattacharjee

引用次数: 1

An efficient method for improving classification accuracy of handwritten Bangla compound characters using DCNN with dropout and ELU 基于dropout和ELU的手写体孟加拉复合字DCNN分类方法

2017 Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN) Pub Date : 2017-11-01 DOI: 10.1109/ICRCICN.2017.8234497

Akm Ashiquzzaman, A. Tushar, S. Dutta, Farzana Mohsin

{"title":"An efficient method for improving classification accuracy of handwritten Bangla compound characters using DCNN with dropout and ELU","authors":"Akm Ashiquzzaman, A. Tushar, S. Dutta, Farzana Mohsin","doi":"10.1109/ICRCICN.2017.8234497","DOIUrl":"https://doi.org/10.1109/ICRCICN.2017.8234497","url":null,"abstract":"Handwritten character recognition is an essential part of optical character recognition domain. Bangla handwritten compound character recognition is a complex task that is challenging due to extensive size of and sheer diversity within the alphabet. The current work proposes a novel method of recognition of compound characters in Bangla language using deep convolutional neural networks (DCNN) and efficient greedy layer-wise training approach. Introduction of dropout technology mitigates data overfitting and Exponential Linear Unit (ELU) is introduced to tackle the vanishing gradient problem during training. ELU is a special rectified linear unit which provides sustainability against the vanishing as well as exploding gradients. Furthermore, dropout influences network elements to learn diverse representation of data, which contributes to generalization of model. The model is tested on CMATERdb 3.1.3.3 data set of compound characters, and the performance is found to outperform existing state-of-the-art methods of Bangla handwritten complex character recognition.","PeriodicalId":166298,"journal":{"name":"2017 Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128437165","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: 21

Mutual auditing framework for service level security auditing in cloud 云服务级安全审计的相互审计框架

2017 Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN) Pub Date : 2017-11-01 DOI: 10.1109/ICRCICN.2017.8234524

Soumitra Sasmal, Indrajit Pan

引用次数: 3

Distributed location detection algorithms using IoT for commercial aviation 商用航空使用物联网的分布式位置检测算法

2017 Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN) Pub Date : 2017-11-01 DOI: 10.1109/ICRCICN.2017.8234493

A. Chatterjee, Hugo Flores, S. Sen, Khondker S. Hasan, Ashish Mani

{"title":"Distributed location detection algorithms using IoT for commercial aviation","authors":"A. Chatterjee, Hugo Flores, S. Sen, Khondker S. Hasan, Ashish Mani","doi":"10.1109/ICRCICN.2017.8234493","DOIUrl":"https://doi.org/10.1109/ICRCICN.2017.8234493","url":null,"abstract":"Detecting precise location of aircraft during the entire flight duration is a challenge in the domain of commercial aviation. Using radar and other available technology, flights operating entirely over land can be tracked easily. However, with long haul intercontinental flights, where majority of the flight path is over water bodies and out of range of radar, detecting the location of aircraft at all times is a challenge. In recent times, there have been disasters in commercial aviation, where an aircraft has gone missing. This has a huge social and financial impact on the specific airline and commercial aviation in general. Therefore, in this paper we study the problem of location detection for commercial aircraft and methods to improve location detection over any terrain the flight path traverses. We propose techniques based on the Internet-of-things (IoT) model for aircraft, where the aircraft can communicate with each other within a certain range. We introduce distributed algorithms to detect location using such methods that work effectively when the aircraft is outside the range of radar and on an oceanic route. Our results show that using the proposed methods, the precise location of all aircraft, including those intercontinental flights, can be tracked to a higher degree. Techniques to minimize the communication overhead introduced due to the proposed methods are also provided.","PeriodicalId":166298,"journal":{"name":"2017 Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129703395","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

Design of hybrid (CSA-CSkA) adder for improvement of propagation delay 改进传输延迟的混合(CSA-CSkA)加法器设计

2017 Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN) Pub Date : 2017-11-01 DOI: 10.1109/ICRCICN.2017.8234530

Sujan Sarkar, Jishan Mehedi

引用次数: 9

Performance analysis of FIR and IIR filters for ECG signal denoising based on SNR 基于信噪比的心电信号去噪FIR和IIR滤波器的性能分析

2017 Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN) Pub Date : 2017-11-01 DOI: 10.1109/ICRCICN.2017.8234487

Nilotpal Das, M. Chakraborty

引用次数: 21