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Advanced Computing: An International Journal最新文献

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AN APPROACH FOR BREAST CANCER DIAGNOSIS CLASSIFICATION USING NEURAL NETWORK 基于神经网络的乳腺癌诊断分类方法
Advanced Computing: An International Journal Pub Date : 2015-01-31 DOI: 10.5121/ACIJ.2015.6101
Htet Thazin, Tike Thein, Khin Mo Mo Tun
{"title":"AN APPROACH FOR BREAST CANCER DIAGNOSIS CLASSIFICATION USING NEURAL NETWORK","authors":"Htet Thazin, Tike Thein, Khin Mo Mo Tun","doi":"10.5121/ACIJ.2015.6101","DOIUrl":"https://doi.org/10.5121/ACIJ.2015.6101","url":null,"abstract":"Artificial neural network has been widely used in various fields as an intelligent tool in recent years, such as artificial intelligence, pattern recognition, medical diagnosis, machine learning and so on. The classification of breast cancer is a medical application that poses a great challenge for researchers and scientists. Recently, the neural network has become a popular tool in the classification of cancer datasets. Classification is one of the most active research and application areas of neural networks. Major disadvantages of artificial neural network (ANN) classifier are due to its sluggish convergence and always being trapped at the local minima. To overcome this problem, differential evolution algorithm (DE) has been used to determine optimal value or near optimal value for ANN parameters. DE has been applied successfully to improve ANN learning from previous studies. However, there are still some issues on DE approach such as longer training time and lower classification accuracy. To overcome these problems, island based model has been proposed in this system. The aim of our study is to propose an approach for breast cancer distinguishing between different classes of breast cancer. This approach is based on the Wisconsin Diagnostic and Prognostic Breast Cancer and the classification of different types of breast cancer datasets. The proposed system implements the island-based training method to be better accuracy and less training time by using and analysing between two different migration topologies.","PeriodicalId":294093,"journal":{"name":"Advanced Computing: An International Journal","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133721851","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: 65
GENERATING 3D MODEL FROM VIDEO 从视频生成3d模型
Advanced Computing: An International Journal Pub Date : 2014-12-11 DOI: 10.5121/ACIJ.2014.5602
Svetlana Mijakovska, I. Nedelkovski, Filip Popovski
{"title":"GENERATING 3D MODEL FROM VIDEO","authors":"Svetlana Mijakovska, I. Nedelkovski, Filip Popovski","doi":"10.5121/ACIJ.2014.5602","DOIUrl":"https://doi.org/10.5121/ACIJ.2014.5602","url":null,"abstract":"In this paper the process of 3D modelling from video is presented. Analysed previous research related to this process, and specifically described algorithms for detecting and matching key points. We described their advantages and disadvantages, and made a critical analysis of algorithms. In this paper, the three detectors (SUSAN, Plessey and Forstner) are tested and compare. We used video taken with hand held camera of a cube and compare these detectors on it (taking into account their parameters of accuracy and repeatability). In conclusion, we practically made 3D model of the cube from video used these detectors in the first step of the process and three algorithms (RANSAC, MSAC and MLESAC) for matching data.","PeriodicalId":294093,"journal":{"name":"Advanced Computing: An International Journal","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126237630","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
FDTD Computation for Sar Induced in Human Head Due to Exposure to EMF from Mobile Phone 手机电磁场对人体头部辐射辐射的时域有限差分计算
Advanced Computing: An International Journal Pub Date : 2014-12-11 DOI: 10.5121/ACIJ.2014.5601
A.A. Aly, M. Piket-May
{"title":"FDTD Computation for Sar Induced in Human Head Due to Exposure to EMF from Mobile Phone","authors":"A.A. Aly, M. Piket-May","doi":"10.5121/ACIJ.2014.5601","DOIUrl":"https://doi.org/10.5121/ACIJ.2014.5601","url":null,"abstract":"This aim of this paper is to investigate the specific absorption rate (SAR) distribution in a human head by using the finite-difference time-domain (FDTD) calculations, due to exposure to EMF radiation from a mobile phone at frequencies 900 MHz Mobile Phone model with a λ/2 monopole antenna and a hand head phone model dimensions are 100 mm x 50 mm x 20 mm. The head model used is a sphere with a diameter of 18 cm. The FDTD grid size used in the computation was 2.5 mm. The distance between the antenna and head was 5 mm. To simplify the FDTD simulation, the SAR in the head was calculated without the effect of the human body. It was found that the SAR induced in the head decreases with the distance from the radiating source.","PeriodicalId":294093,"journal":{"name":"Advanced Computing: An International Journal","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131881124","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
A DECISION TREE BASED WORD SENSE DISAMBIGUATION SYSTEM IN MANIPURI LANGUAGE 基于决策树的曼尼普尔语词义消歧系统
Advanced Computing: An International Journal Pub Date : 2014-07-31 DOI: 10.5121/ACIJ.2014.5403
R. Singh, K. Ghosh, Kishorjit Nongmeikapam, Sivaji Bandyopadhyay
{"title":"A DECISION TREE BASED WORD SENSE DISAMBIGUATION SYSTEM IN MANIPURI LANGUAGE","authors":"R. Singh, K. Ghosh, Kishorjit Nongmeikapam, Sivaji Bandyopadhyay","doi":"10.5121/ACIJ.2014.5403","DOIUrl":"https://doi.org/10.5121/ACIJ.2014.5403","url":null,"abstract":"This paper manifests a primary attempt on building a word sense disambiguation system in Manipuri language. The paper discusses related attempts made in the Manipuri language followed by the proposed plan. A database, consisting of 650 sentences, is collected in Manipuri language in the course of the study. Conventional positional and context based features are suggested to capture the sense of the words, which have ambiguous and multiple senses. The proposed work is expected to predict the senses of the polysemous words with high accuracy with the help of the suitable knowledge acquisition techniques. The system produces an accuracy of 71.75 %.","PeriodicalId":294093,"journal":{"name":"Advanced Computing: An International Journal","volume":"43 21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117063378","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: 33
PERFORMANCE ANALYSIS OF VITERBI DECODER FOR WIRELESS APPLICATIONS 无线viterbi解码器的性能分析
Advanced Computing: An International Journal Pub Date : 2014-07-31 DOI: 10.5121/ACIJ.2014.5401
G. Sivasankar, L. Thangarani
{"title":"PERFORMANCE ANALYSIS OF VITERBI DECODER FOR WIRELESS APPLICATIONS","authors":"G. Sivasankar, L. Thangarani","doi":"10.5121/ACIJ.2014.5401","DOIUrl":"https://doi.org/10.5121/ACIJ.2014.5401","url":null,"abstract":"Viterbi decoder is employed in wireless communication to decode the convolutional codes; those codes are used in every robust digital communication systems. Convolutional encoding and viterbi decoding is a powerful method for forward error correction. This paper deals with synthesis and implementation of viterbi decoder with a constraint length of three as well as seven and the code rate of ½ in FPGA (Field Programmable Gate Array). The performance of viterbi decoder is analyzed in terms of resource utilization. The design of viterbi decoder is simulated using Verilog HDL. It is synthesized and implemented using Xilinx 9.1ise and Spartan 3E Kit. It is compatible with many common standards such as 3GPP, IEEE 802.16 and LTE.","PeriodicalId":294093,"journal":{"name":"Advanced Computing: An International Journal","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134152114","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
All Digital Wide Range Msar Controlled Duty-Cycle Corrector 全数字宽范围Msar控制占空比校正器
Advanced Computing: An International Journal Pub Date : 2014-07-31 DOI: 10.5121/ACIJ.2014.5402
K. Sindhuja
{"title":"All Digital Wide Range Msar Controlled Duty-Cycle Corrector","authors":"K. Sindhuja","doi":"10.5121/ACIJ.2014.5402","DOIUrl":"https://doi.org/10.5121/ACIJ.2014.5402","url":null,"abstract":"","PeriodicalId":294093,"journal":{"name":"Advanced Computing: An International Journal","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128988307","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
Face Recognition From a Single Sample Using Rlog Filter and Manifold Analysis 使用 Rlog 过滤器和 Manifold 分析从单个样本识别人脸
Advanced Computing: An International Journal Pub Date : 2014-05-31 DOI: 10.5121/ACIJ.2014.5304
Jaya Susan Edith.S, A. Ruby
{"title":"Face Recognition From a Single Sample Using Rlog Filter and Manifold Analysis","authors":"Jaya Susan Edith.S, A. Ruby","doi":"10.5121/ACIJ.2014.5304","DOIUrl":"https://doi.org/10.5121/ACIJ.2014.5304","url":null,"abstract":"Face recognition is A technique that has been widely used in various important field, this process helps in the identification of an individual by a machine for the purpose of security and ease of work. The normal technique of face recognition usually works better when there are multiple samples for a single person (MSSP) is available. In present applications where this technique is to be used such as in social networks, security systems, identification cards there is only a single sample per person (SSPP) that is readily available. This less availability of the samples causes failure in the working of conventional face recognition techniques which require multiple samples for a particular individual. To overcome this drawback which sets back the system from the accurate functioning of face recognition this paper puts forward a novel technique which makes use of discriminative multi-manifold analysis (DMMA) that extracts distinctive features using image patches. Recognition is done by the process of manifold to manifold matching. Hence there is an increment in the accuracy rate of face recognition.","PeriodicalId":294093,"journal":{"name":"Advanced Computing: An International Journal","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127038667","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
MOTION DETECTION IN COMPRESSED VIDEO USING MACROBLOCK CLASSIFICATION 使用宏块分类的压缩视频中的运动检测
Advanced Computing: An International Journal Pub Date : 2014-05-31 DOI: 10.5121/ACIJ.2014.5301
M. Usha
{"title":"MOTION DETECTION IN COMPRESSED VIDEO USING MACROBLOCK CLASSIFICATION","authors":"M. Usha","doi":"10.5121/ACIJ.2014.5301","DOIUrl":"https://doi.org/10.5121/ACIJ.2014.5301","url":null,"abstract":"In this paper, to detect the moving objects between frames in compressed video and to obtain the best compression video and the noiseless video. We describe a video in which frames by classifying macroblocks (MB), and describe motion estimation (ME), motion vector field (MV) and motion compensation (MC). we propose to classify Macroblocks of each video frame into different classes and use this class information to describe the frame content based on the motion vector. MB class information video applications such as shot change detection, motion discontinuity detection, Outlier rejection for global motion estimation. To reduce the noise and to improve the clarity of the compressed video by using contrast limited adaptive histogram equalization (CLAHE) Algorithm.","PeriodicalId":294093,"journal":{"name":"Advanced Computing: An International Journal","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126762706","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
PERFORMANCE ANALYSIS OF RETINAL IMAGE BLOOD VESSEL SEGMENTATION 视网膜图像血管分割性能分析
Advanced Computing: An International Journal Pub Date : 2014-05-31 DOI: 10.5121/ACIJ.2014.5302
D. Raja, S. Vasuki, D. Kumar
{"title":"PERFORMANCE ANALYSIS OF RETINAL IMAGE BLOOD VESSEL SEGMENTATION","authors":"D. Raja, S. Vasuki, D. Kumar","doi":"10.5121/ACIJ.2014.5302","DOIUrl":"https://doi.org/10.5121/ACIJ.2014.5302","url":null,"abstract":"The retinal image diagnosis is an important methodology for diabetic retinopathy detection and analysis. in this paper, the morphological operations and svm classifier are used to detect and segment the blood vessels from the retinal image. the proposed system consists of three stages-first is preprocessing of retinal image to separate the green channel and second stage is retinal image enhancement and third stage is blood vessel segmentation using morphological operations and svm classifier. the performance of the proposed system is analyzed using publicly available dataset.","PeriodicalId":294093,"journal":{"name":"Advanced Computing: An International Journal","volume":"307 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133747677","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: 27
Downlink Beamforming and Admission Control for Spectrum Sharing Cognitive Radio Mimo System 频谱共享认知无线电Mimo系统下行波束形成与接纳控制
Advanced Computing: An International Journal Pub Date : 2014-05-31 DOI: 10.5121/ACIJ.2014.5303
A. Suban, I. .. Ramanathan
{"title":"Downlink Beamforming and Admission Control for Spectrum Sharing Cognitive Radio Mimo System","authors":"A. Suban, I. .. Ramanathan","doi":"10.5121/ACIJ.2014.5303","DOIUrl":"https://doi.org/10.5121/ACIJ.2014.5303","url":null,"abstract":"We investigate the problem of multiuser downlink beam-forming and admission control considering a scenario where licensed, or primary, users and cognitive radios, or secondary users, are transmitting concurrently over the same band. The primary users share a common receiver and the interference on this receiver from secondary users should be strictly limited to a certain level. Each secondary link is assumed to have a minimum quality of service (QoS) requirement that should be satisfied together with the interference limit constraint, otherwise the secondary link is not admitted. Under those constraints, downlink beam-forming and admission control for secondary users are investigated for two main optimization objectives. First, we maximize the number of admitted secondary links. Second, we maximize the sum throughput of the admitted secondary links. our main design objective is to minimize the transmit power of the SU-transmitter while simultaneously targeting a lower-bound on the received signal-tointerference-plus-noise-ratio(SINR) for the SU’s and imposing on upper limit on the interference power(IP) at the PUs.","PeriodicalId":294093,"journal":{"name":"Advanced Computing: An International Journal","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127236048","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
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