2015 Third International Conference on Image Information Processing (ICIIP)最新文献_第3页

A QoS-based service discovery using meta-heuristic optimization in federated cloud 在联邦云中使用元启发式优化的基于qos的服务发现

2015 Third International Conference on Image Information Processing (ICIIP) Pub Date : 2015-12-21 DOI: 10.1109/ICIIP.2015.7414761

Vivek Gaur, P. Dhyani, O. Rishi

{"title":"A QoS-based service discovery using meta-heuristic optimization in federated cloud","authors":"Vivek Gaur, P. Dhyani, O. Rishi","doi":"10.1109/ICIIP.2015.7414761","DOIUrl":"https://doi.org/10.1109/ICIIP.2015.7414761","url":null,"abstract":"In a cloud based service environment, finding the user-centric optimal service composition has become increasingly necessity. A consumer needs the service composition which meets the quality requirements in a cost effective manner. The service level agreement (SLA) signed by both, the consumer and the service provider, includes Quality of Service (QoS) requirements and penalties in case of violation. The violation of a quality requirement for a service composition needs a suitable service substitution which incurs a considerable adaptation cost. Therefore, an efficient tool is needed to address the user-specific service requirement in a cost effective manner. The work proposed a heuristic based approaches using hybrid Genetic and Tabu algorithm to determine the optimal QoS based service composition with maximum utility value and minimum adaptation cost. The blending of a basic Genetic algorithm and Tabu search has been formulated as Memetic approach for service utility prediction and ranking the service compositions. The work also simulates the basic GA and Memetic approach to compare the performance of the two methods in terms of utility, violation cost and adaptation cost of a service composition.","PeriodicalId":144495,"journal":{"name":"2015 Third International Conference on Image Information Processing (ICIIP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131079911","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

Secure e-Governance: From observation to policy formulation 安全电子政务:从观察到政策制定

2015 Third International Conference on Image Information Processing (ICIIP) Pub Date : 2015-12-21 DOI: 10.1109/ICIIP.2015.7414767

S. Sarkar, Suvrojit Das

{"title":"Secure e-Governance: From observation to policy formulation","authors":"S. Sarkar, Suvrojit Das","doi":"10.1109/ICIIP.2015.7414767","DOIUrl":"https://doi.org/10.1109/ICIIP.2015.7414767","url":null,"abstract":"This paper proposes to introduce a security policy as part of forensic readiness for a State who is or will be providing Digital Forensics as a Service (DFaaS) integrated with e-Government services. A few of the constituents of DFaaS are the investigating services for crimes which may even be committed by the Infrastructure Providers (IFP) in Cloud Computing Environment (CCE). The policy proposes to acquire a guarantee from IFP that it will not establish any direct connection with its Virtual Machine (VM)s while providing computing resources to any Cloud Service Provider (CSP) or end user. The basic objective of this policy is to maintain Confidentiality, Integrity and Availability (CIA) of information contained in any CCE in connection with possible threats from the IFP side. A few scenarios are depicted in this paper to show that an IFP can easily establish a connection with one or many VM(s) of a CCE and can violate the basic principles of CIA. In view of this, we have also proposed a few techniques in this paper to make the CSP and end user forensically ready so that such system can raise an immediate alert only when an unauthorized connection is established by a host towards its VM(s).","PeriodicalId":144495,"journal":{"name":"2015 Third International Conference on Image Information Processing (ICIIP)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130749879","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

Optimized Face Recognition Algorithm using Spatial and Transform Domain Techniques 基于空间和变换域技术的人脸识别优化算法

2015 Third International Conference on Image Information Processing (ICIIP) Pub Date : 2015-12-21 DOI: 10.1109/ICIIP.2015.7414764

B. Sujatha, K. Babu, K. Raja, K. Venugopal

引用次数: 5

LSB modification based Audio Steganography using Trusted Third Party Key Indexing method 基于LSB修改的可信第三方密钥索引方法音频隐写

2015 Third International Conference on Image Information Processing (ICIIP) Pub Date : 2015-12-21 DOI: 10.1109/ICIIP.2015.7414805

Vipul Sharma, Ravinder Thakur

{"title":"LSB modification based Audio Steganography using Trusted Third Party Key Indexing method","authors":"Vipul Sharma, Ravinder Thakur","doi":"10.1109/ICIIP.2015.7414805","DOIUrl":"https://doi.org/10.1109/ICIIP.2015.7414805","url":null,"abstract":"In the present scenario of extensive mediums for communication technologies, it has always been a challenging task to ensure the confidentiality of the sensitive information that is transmitted over a secured channel. Amongst various reliable and efficient techniques to secretly exchange information, Audio Steganography is considered very promising. LSB technique for Audio Steganography is very efficient that embeds the secret message with an audio file by replacing LSBs of that audio. In this paper Random Key Indexing method is proposed to replace the LSBs of the carrier audio with secret message. The bit replacement is guided by primary key that is provided by TTP (Trusted Third Party) and secondary key that will be generated at encoder end during embedding process and is supplied to the decoder end. The proposed method also uses message retrieval code that adds another layer of protection to the process. The method is successfully tested on various 32 bit & 16 bit stereo wave files with different payloads. The SNRdB values comes out be in the range 139 dB to 142 dB for 32 bit and 67 dB to 85 dB for 16 bit stereo files. The Bit Error Rate (BER) comes out be in the range 0.23 to 0.32 percent for 32 bit and 0.018 to 0.028 percent for 16 bit files.","PeriodicalId":144495,"journal":{"name":"2015 Third International Conference on Image Information Processing (ICIIP)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127632508","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: 12

IoT based power efficient system design using automation for classrooms 基于物联网的教室自动化节能系统设计

2015 Third International Conference on Image Information Processing (ICIIP) Pub Date : 2015-12-21 DOI: 10.1109/ICIIP.2015.7414782

Anisha Gupta, Punit Gupta, Jasmeet Chhabra

引用次数: 22

Image registration in presence of multiplicative noise by Particle Swarm Optimization 基于粒子群算法的乘性噪声图像配准

2015 Third International Conference on Image Information Processing (ICIIP) Pub Date : 2015-12-21 DOI: 10.1109/ICIIP.2015.7414754

H. Chel, Debashis Nandi, P. Bora

{"title":"Image registration in presence of multiplicative noise by Particle Swarm Optimization","authors":"H. Chel, Debashis Nandi, P. Bora","doi":"10.1109/ICIIP.2015.7414754","DOIUrl":"https://doi.org/10.1109/ICIIP.2015.7414754","url":null,"abstract":"Image registration is a really challenging task especially when multiplicative noise is present in the images. The presence of multiplicative noise degrades the image content severely. Derivative based methods like gradient descent and Levenberg Marquardt Algorithm fails to perform image registration in such cases. In this paper we propose a Particle Swarm Optimization (PSO) based image registration technique which is well capable to perform image registration between multiple images that are corrupted with multiplicative noise. The specialty of this method is that its accuracy is high. It is faster and it successfully works when the number of registration parameter is higher. The supremacy of this technique compared to other differentiation based techniques is that, it assures robustness to both the additive and multiplicative noise. It is an iterative approach of optimization where the mean square error between one pair of noisy images is reduced. It deals with four different registration parameters namely the shift along horizontal and vertical direction, rotation and scaling. It can equally perform for large scale as well as small scale disparities between pair of images.","PeriodicalId":144495,"journal":{"name":"2015 Third International Conference on Image Information Processing (ICIIP)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128045074","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

WSF-RBF based mining model to identify eye-Glasses worn people from face-images pool 基于WSF-RBF的人脸图像池中眼镜佩戴者识别挖掘模型

2015 Third International Conference on Image Information Processing (ICIIP) Pub Date : 2015-12-21 DOI: 10.1109/ICIIP.2015.7414817

Kapil Junjea

{"title":"WSF-RBF based mining model to identify eye-Glasses worn people from face-images pool","authors":"Kapil Junjea","doi":"10.1109/ICIIP.2015.7414817","DOIUrl":"https://doi.org/10.1109/ICIIP.2015.7414817","url":null,"abstract":"Eye-Glasses or Spectacles are the wearing objects to gain vision correction. Wearing glasses can be identified as low vision problem, poor nighttime vision or partial eyesight. Some of the departments and organizations are sensitive to healthy eyesight while recruiting a person. To identify the eyeglasses wearing people from a pool of facial images is a challenge. In this paper, statistical feature formed data mining model is provided for categorizing the people with and without eyeglasses. In the early phase, the geometric notification is applied to localize the eye region. This extracted region is processed by phase variant Gaussian enabled moment feature analysis to generate the structural form of an image. Later on quantification is applied to the real eye region image and structured region under 16 different statistical features. This featured formed dataset is qualified under weight modeling based on feature type and strength. This weighed feature formation is learned for RBF(Radial Basis Function) to perform classification. The experimentation on dataset for LFW and FERET datasets. Multiple experiments are applied and comparative observations are taken against neural network and SVM methods applied directly to eye extracted images. The observations show that the framework improved the classification accuracy up to 19% for FERET dataset and up to 16% for LFW database. The weight adjustment in the framework subject to accuracy and data features.","PeriodicalId":144495,"journal":{"name":"2015 Third International Conference on Image Information Processing (ICIIP)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133039910","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 new and efficient buyer-seller digital Watermarking protocol using identity based technique for copyright protection 一种新的基于身份的版权保护买卖数字水印协议

2015 Third International Conference on Image Information Processing (ICIIP) Pub Date : 2015-12-21 DOI: 10.1109/ICIIP.2015.7414830

Ashwani Kumar, S. P. Ghrera, V. Tyagi

引用次数: 18

Speech controlled robotics using Artificial Neural Network 使用人工神经网络的语音控制机器人

2015 Third International Conference on Image Information Processing (ICIIP) Pub Date : 2015-12-21 DOI: 10.1109/ICIIP.2015.7414829

N. Joshi, Anil Kumar, P. Chakraborty, R. Kala

引用次数: 7

A lossless Data Hiding method based on inverted LSB technique 一种基于倒LSB技术的无损数据隐藏方法

2015 Third International Conference on Image Information Processing (ICIIP) Pub Date : 2015-12-21 DOI: 10.1109/ICIIP.2015.7414821

Vaishali Sharma, R. Bhardwaj

引用次数: 4