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Advanced Computing: An International Journal最新文献

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Security Evaluation of Light-Weight Block Ciphers by GPGPU 基于GPGPU的轻量级分组密码安全性评估
Advanced Computing: An International Journal Pub Date : 2016-05-30 DOI: 10.5121/ACIJ.2016.7301
Haruhisa Kosuge, Hidema Tanaka
{"title":"Security Evaluation of Light-Weight Block Ciphers by GPGPU","authors":"Haruhisa Kosuge, Hidema Tanaka","doi":"10.5121/ACIJ.2016.7301","DOIUrl":"https://doi.org/10.5121/ACIJ.2016.7301","url":null,"abstract":"","PeriodicalId":294093,"journal":{"name":"Advanced Computing: An International Journal","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127851310","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
Integrated Technology Of Data Remote Sensing And Gis Techniques Assess The Land Use And Land Cover Changes Of Madurai City Between The Year 2003-2013 2003-2013年马杜赖市土地利用/覆被变化的数据遥感与Gis综合技术评价
Advanced Computing: An International Journal Pub Date : 2016-03-31 DOI: 10.5121/ACIJ.2016.7204
P. Venkataraman, M. MohamedSathik, R. Srinivasan
{"title":"Integrated Technology Of Data Remote Sensing And Gis Techniques Assess The Land Use And Land Cover Changes Of Madurai City Between The Year 2003-2013","authors":"P. Venkataraman, M. MohamedSathik, R. Srinivasan","doi":"10.5121/ACIJ.2016.7204","DOIUrl":"https://doi.org/10.5121/ACIJ.2016.7204","url":null,"abstract":"The present study focuses on the nature and pattern of urban expansion of Madurai city over its surrounding region during the period from 2003 to 2013. Based on Its proximity to the Madurai city, Preparation of various thematic data such Land use and Land cover using Land sat data. Create a land use land cover map from satellite imagery using supervised classification. Find out the areas from the classified data. The study is Based on secondary data, the satellite imagery has downloaded from GLCF (Global Land Cover Facility) web site, for the study area (path101 row 67), the downloaded imagery Subset using Imagery software to clip the study area. The clipped satellite imagery has Send to prepare the land use and land cover map using supervised classification.","PeriodicalId":294093,"journal":{"name":"Advanced Computing: An International Journal","volume":"88 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128369473","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
Data Security Through Qr Code Encryption And Steganography 通过Qr码加密和隐写技术实现数据安全
Advanced Computing: An International Journal Pub Date : 2016-03-31 DOI: 10.5121/ACIJ.2016.7201
Shanthi Rani M. Mary, Euphrasia K.Rosemary
{"title":"Data Security Through Qr Code Encryption And Steganography","authors":"Shanthi Rani M. Mary, Euphrasia K.Rosemary","doi":"10.5121/ACIJ.2016.7201","DOIUrl":"https://doi.org/10.5121/ACIJ.2016.7201","url":null,"abstract":"","PeriodicalId":294093,"journal":{"name":"Advanced Computing: An International Journal","volume":"252 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114368417","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: 30
A HYBRID METHOD FOR AUTOMATIC COUNTING OF MICROORGANISMS IN MICROSCOPIC IMAGES 显微图像中微生物自动计数的混合方法
Advanced Computing: An International Journal Pub Date : 2016-03-31 DOI: 10.5121/ACIJ.2016.7206
P. Kalavathi, S. Naganandhini
{"title":"A HYBRID METHOD FOR AUTOMATIC COUNTING OF MICROORGANISMS IN MICROSCOPIC IMAGES","authors":"P. Kalavathi, S. Naganandhini","doi":"10.5121/ACIJ.2016.7206","DOIUrl":"https://doi.org/10.5121/ACIJ.2016.7206","url":null,"abstract":"Microscopic image analysis is an essential process to enable the automatic enumeration and quantitative analysis of microbial images. There are several system are available for numerating microbial growth. Some of the existing method may be inefficient to accurately count the overlapped microorganisms. Therefore, in this paper we proposed an efficient method for automatic segmentation and counting of microorganisms in microscopic images. This method uses a hybrid approach based on morphological operation, active contour model and counting by region labelling process. The colony count value obtained by this proposed method is compared with the manual count and the count value obtained from the existing method.","PeriodicalId":294093,"journal":{"name":"Advanced Computing: An International Journal","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125101305","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
HYBRID APPROACH FOR NOISE REMOVAL AND IMAGE ENHANCEMENT OF BRAIN TUMORS IN MAGNETIC RESONANCE IMAGES 脑肿瘤磁共振图像去噪与增强的混合方法
Advanced Computing: An International Journal Pub Date : 2016-03-31 DOI: 10.5121/ACIJ.2016.7208
R. Usha, K. Perumal
{"title":"HYBRID APPROACH FOR NOISE REMOVAL AND IMAGE ENHANCEMENT OF BRAIN TUMORS IN MAGNETIC RESONANCE IMAGES","authors":"R. Usha, K. Perumal","doi":"10.5121/ACIJ.2016.7208","DOIUrl":"https://doi.org/10.5121/ACIJ.2016.7208","url":null,"abstract":"In medical image processing, Magnetic Resonance Imaging (MRI) is one of significant diagnostic techniques. It provides high quality of important information about the analysis of human soft tissue when measured with CT imaging modalities; hence it is suitable for diagnosis at best. However, if it gives quality of information, image may distorted by noise because of image acquisition device and transmission. The noises in MR image reduces the quality of image and also damages the segmentation task which can lead to faulty diagnosis. Noises have to reduce at the same time there is no information loss. This paper propose a hybrid approach to enhance the brain tumor MRI images using combined features of Anisotropic Diffusion Filter (ADF) with Modified Decision Based Unsymmetric Trimmed Median Filter (MDBUTMF). ADF scheme provides a superior performance by removing noise while preserving image details and enhancing edges. MDBUTMF helps in image denoising as well as preserving edges satisfactorily when the noise level is high. The performance of this filter is evaluated by carrying out a qualitative comparison of this method with other filters namely, ADF filter, Modified Decision Algorithm, Median filter, MDBUTMF.","PeriodicalId":294093,"journal":{"name":"Advanced Computing: An International Journal","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133431572","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
DIGITAL IMAGE WATERMARKING USING DFT ALGORITHM 基于DFT算法的数字图像水印
Advanced Computing: An International Journal Pub Date : 2016-03-31 DOI: 10.5121/ACIJ.2016.7202
N. Senthilkumaran, S. Abinaya
{"title":"DIGITAL IMAGE WATERMARKING USING DFT ALGORITHM","authors":"N. Senthilkumaran, S. Abinaya","doi":"10.5121/ACIJ.2016.7202","DOIUrl":"https://doi.org/10.5121/ACIJ.2016.7202","url":null,"abstract":"Image security is a relatively very young and fast growing. Security of data or information is very important now a day in this world. Information security is most important for the business industries. Embedding information so that it cannot be visually perceived. Embedding information in digital data so that it cannot be visually or audibly perceived. In this paper we review some of the digital image watermarking and techniques and then DFT algorithm is also proposed. In this paper we review the robustness and metrics.","PeriodicalId":294093,"journal":{"name":"Advanced Computing: An International Journal","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115660919","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
AN ADAPTIVE REUSABLE LEARNING OBJECT FOR E-LEARNING USING COGNITIVE ARCHITECTURE 使用认知架构的自适应可重用学习对象
Advanced Computing: An International Journal Pub Date : 2016-03-31 DOI: 10.5121/ACIJ.2016.7203
Kanimozhi A, Cyrilraj V
{"title":"AN ADAPTIVE REUSABLE LEARNING OBJECT FOR E-LEARNING USING COGNITIVE ARCHITECTURE","authors":"Kanimozhi A, Cyrilraj V","doi":"10.5121/ACIJ.2016.7203","DOIUrl":"https://doi.org/10.5121/ACIJ.2016.7203","url":null,"abstract":"Nowadays, a huge amount of ambiguous e-learning materials are available in World Wide Web irrespective of various objectives. These digital educational resources can be reused and shared from centralized online repository and it will avoid the redundant learning material. The main goal is to design consistent adaptable e-learning course material for web-based education system with emphasis on the quality of learning. This can be done by organizing learning object in a prescribed manner and it can be reused in feature. Such reusable learning objects are enhanced further to become adaptive reusable learning objects that are virtually cognitive and responsive towards the specific needs of the user/customer. This paper proposes the cognitive architecture to offer an adaptive reusable objects (RLO) based on individual profile of e-learner besides their cognitive behaviour while learning.","PeriodicalId":294093,"journal":{"name":"Advanced Computing: An International Journal","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123809807","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
SEGMENTATION USING 'NEW' TEXTURE FEATURE 使用“新”纹理特征进行分割
Advanced Computing: An International Journal Pub Date : 2016-03-31 DOI: 10.5121/ACIJ.2016.7205
Mansoor Roomi S.Md, M. Mareeswari, G. Maragatham
{"title":"SEGMENTATION USING 'NEW' TEXTURE FEATURE","authors":"Mansoor Roomi S.Md, M. Mareeswari, G. Maragatham","doi":"10.5121/ACIJ.2016.7205","DOIUrl":"https://doi.org/10.5121/ACIJ.2016.7205","url":null,"abstract":"Color, texture, shape and luminance are the prominent features for image segmentation. Texture is an organized group of spatial repetitive arrangements in an image and it is a vital attribute in many image processing and computer vision applications. The objective of this work is to segment the texture sub images from the given arbitrary image. The main contribution of this work is to introduce “NEW” texture feature descriptor to the image segmentation field. The NEW texture descriptor labels the neighborhood pixels of a pixel in an image as N,W,NW,NE,WW,NN and NNE(N-North, W-West).To find the prediction value, the gradient of the intensity functions are calculated. Eight component binary vectors are formed and compared to prediction value. Finally end up with 256 possible vectors. Fuzzy c-means clustering is used to segment the similar regions in textural image Extensive experimentation shows that the proposed methodology works better for segmenting the texture images , and also segmentation performance are evaluated.","PeriodicalId":294093,"journal":{"name":"Advanced Computing: An International Journal","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117033993","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
Automated Segmentation of Fluorescent and Funds Images Based on Retinal Blood Vessel 基于视网膜血管的荧光和基金图像自动分割
Advanced Computing: An International Journal Pub Date : 2016-03-31 DOI: 10.5121/acij.2016.7207
P. Sumitra, P. Ponkavitha, Saravanan K.S, S. Karthika
{"title":"Automated Segmentation of Fluorescent and Funds Images Based on Retinal Blood Vessel","authors":"P. Sumitra, P. Ponkavitha, Saravanan K.S, S. Karthika","doi":"10.5121/acij.2016.7207","DOIUrl":"https://doi.org/10.5121/acij.2016.7207","url":null,"abstract":"Measurements of retinal blood vessel morphology have been shown to be related to the risk of cardiovascular diseases. The wrong identification of vessels may result in a large variation of these measurements, leading to a wrong clinical diagnosis. In this paper, we address the problem of automatically identifying true vessels as a post processing step to vascular structure segmentation. We model the segmented vascular structure as a vessel segment graph and formulate the problem of identifying vessels as one of finding the optimal forest in the graph given a set of constraints. We design a method to solve this optimization problem and evaluate it on a large real-world dataset of 2,446 retinal images. Experiment results are analyzed with respect to actual measurements of vessel morphology. The results show that the proposed approach is able to achieve 98.9% pixel precision and 98.7% recall of the true vessels for clean segmented retinal images, and remains robust even when the segmented image is noisy.","PeriodicalId":294093,"journal":{"name":"Advanced Computing: An International Journal","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126506434","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
GPU APPLICATION IN CUDA MEMORY cuda内存中的Gpu应用程序
Advanced Computing: An International Journal Pub Date : 2015-03-31 DOI: 10.5121/ACIJ.2015.6201
Khoirudin, Jiang Shun-liang
{"title":"GPU APPLICATION IN CUDA MEMORY","authors":"Khoirudin, Jiang Shun-liang","doi":"10.5121/ACIJ.2015.6201","DOIUrl":"https://doi.org/10.5121/ACIJ.2015.6201","url":null,"abstract":"Nowadays modern computer GPU (Graphic Processing Unit) became widely used to improve the performance of a computer, which is basically for the GPU graphics calculations, are now used not only for the purposes of calculating the graphics but also for other application. In addition, Graphics Processing Unit (GPU) has high computation and low price. This device can be treat as an array of SIMD processor using CUDA software. This paper talks about GPU application, CUDA memory and efficient CUDA memory using Reduction kernel. High-performance GPU application requires reuse of data inside the streaming multiprocessor (SM). The reason is that onboard global memory is simply not fast enough to meet the needs of all the streaming multiprocessor on the GPU. In addition, CUDA exposes the memory space within the SM and provides configurable caches to give the developer the greatest opportunity of data reuse.","PeriodicalId":294093,"journal":{"name":"Advanced Computing: An International Journal","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128762497","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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