2014 9th International Conference on Computer Engineering & Systems (ICCES)最新文献_第2页

A proposed SNOMED CT ontology-based encoding methodology for diabetes diagnosis case-base 提出了一种基于SNOMED CT本体的糖尿病诊断病例库编码方法

2014 9th International Conference on Computer Engineering & Systems (ICCES) Pub Date : 2014-12-01 DOI: 10.1109/ICCES.2014.7030954

Shaker El-Sappagh, Mohammed M Elmogy, A. Riad, H. Zaghloul, F. Badria

{"title":"A proposed SNOMED CT ontology-based encoding methodology for diabetes diagnosis case-base","authors":"Shaker El-Sappagh, Mohammed M Elmogy, A. Riad, H. Zaghloul, F. Badria","doi":"10.1109/ICCES.2014.7030954","DOIUrl":"https://doi.org/10.1109/ICCES.2014.7030954","url":null,"abstract":"Domain knowledge ontology supports the implementation of intelligent Case Based Reasoning (CBR) systems. Standardized terminologies support efficient indexing and processing of patient data. It is an essential element for the implementation of knowledge-based clinical decision support by exploiting pre-defined semantic relationships, both hierarchical and non-hierarchical in nature. Systemized Nomenclature of Medicine-Clinical Terms (SNOMED CT) is the most comprehensive and complete terminology. This paper proposes an encoding methodology for clinical data using SNOMED CT. A case study for a diabetes diagnosis data set will be tested where SNOMED CT provides a concept coverage of ~75% for its clinical terms. Custom codes will be provided for uncovered terms. The encoded data set is derived from electronic health record database, and it represents a case base knowledge. The collected concept IDs will be used to build a domain ontology for diabetes diagnosis CBR. This ontology contains 550 concept IDs. The encoded case base and the domain ontology can be used to build a knowledge intensive CBR.","PeriodicalId":339697,"journal":{"name":"2014 9th International Conference on Computer Engineering & Systems (ICCES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115883834","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

Software performance engineering using UML2SAN: Deadlock prediction of funds transfer 使用UML2SAN的软件性能工程:资金转移的死锁预测

2014 9th International Conference on Computer Engineering & Systems (ICCES) Pub Date : 2014-12-01 DOI: 10.1109/ICCES.2014.7030978

Ihab Sbeity, M. Dbouk

引用次数: 1

Arabic sign language recognition using leap motion sensor 使用跳跃运动传感器的阿拉伯手语识别

2014 9th International Conference on Computer Engineering & Systems (ICCES) Pub Date : 2014-12-01 DOI: 10.1109/ICCES.2014.7030987

A. S. Elons, Menna Ahmed, Hwaidaa Shedid, M. Tolba

{"title":"Arabic sign language recognition using leap motion sensor","authors":"A. S. Elons, Menna Ahmed, Hwaidaa Shedid, M. Tolba","doi":"10.1109/ICCES.2014.7030987","DOIUrl":"https://doi.org/10.1109/ICCES.2014.7030987","url":null,"abstract":"Researchers in sign language recognition customized different sensors to capture hand signs. Gloves, digital cameras, depth cameras and Kinect were used alternatively in most systems. Due to signs closeness, input accuracy is a very essential constraint to reach a high recognition accuracy. Although previous systems accomplished high recognition accuracy, they suffer from stability in realistic environment due to variance in signing speed, lighting, etc... In this paper, a recognition system for ArSL has been developed based on a new digital sensor called “Leap Motion”. This sensor tackles the major issues in vision-based systems such as skin color, lighting etc... Leap motion captures hands and fingers movements in 3D digital format. The sensor throws 3D digital information in each frame of movement. These temporal and spatial features are fed into a Multi-layer perceptron Neural Network (MLP). The system was tested on 50 different dynamic signs (distinguishable without non-manual features) and the recognition accuracy reached 88% for two different persons. Although Leap motion tracks both hands accurately, unfortunately Leap motion does not track non-manual features. This system can be enhanced by adding other sensors to track other non-manual features such as facial expressions and body poses. The proposed sensor can work simultaneously with leap motion to capture all sign's features.","PeriodicalId":339697,"journal":{"name":"2014 9th International Conference on Computer Engineering & Systems (ICCES)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132469700","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: 82

ICF based automation system for spinal cord injuries rehabilitation 基于ICF的脊髓损伤康复自动化系统

2014 9th International Conference on Computer Engineering & Systems (ICCES) Pub Date : 2014-12-01 DOI: 10.1109/ICCES.2014.7030955

Rehab Mahmoud, Nashwa El-Bendary, Hoda M. O. Mokhtar, A. Hassanien

引用次数: 8

Effect of hough forests parameters on face detection performance: An empirical analysis 霍夫森林参数对人脸检测性能影响的实证分析

2014 9th International Conference on Computer Engineering & Systems (ICCES) Pub Date : 2014-12-01 DOI: 10.1109/ICCES.2014.7030924

M. Hassaballah, Mourad Ahmed, H. Alshazly

引用次数: 0

EMD thresholding and denoising inspired by wavelet technique 基于小波变换的EMD阈值和去噪

2014 9th International Conference on Computer Engineering & Systems (ICCES) Pub Date : 2014-12-01 DOI: 10.1109/ICCES.2014.7030940

S. Elgamel

引用次数: 3

Copy-rotate-move forgery detection based on spatial domain 基于空间域的复制-旋转-移动伪造检测

2014 9th International Conference on Computer Engineering & Systems (ICCES) Pub Date : 2014-12-01 DOI: 10.1109/ICCES.2014.7030944

Sondos M. Fadl, N. Semary, M. Hadhoud

{"title":"Copy-rotate-move forgery detection based on spatial domain","authors":"Sondos M. Fadl, N. Semary, M. Hadhoud","doi":"10.1109/ICCES.2014.7030944","DOIUrl":"https://doi.org/10.1109/ICCES.2014.7030944","url":null,"abstract":"Digital image tampering becomes a common information falsification trend. Copy-Move forgery is one of the tampering types that are used. Image forgery is the science of detecting image tempering whether with a previous knowledge about the source image (active) or without (passive). In this paper, we propose a method which is efficient and fast for detecting Copy-Move regions even when the copied region was undergone rotation modify in spatial domain. The proposed method accelerates blocking matching strategy by parallel comparing between blocks. Firstly, the image is divided into fixed-size overlapping blocks then features are extracted for each block. k-means clustering technique is used to cluster the blocks into different cluster. The feature vectors of each cluster blocks are lexicographically sorted by radix sort, and then a similarity measure is calculated between each nearby blocks to determine their similarity. The experimental results show that the proposed method can detect the duplicated regions efficiently even when an image was modified by jpeg compression, rotation and smoothing conditions. The proposed system reduced processing time up to 75% of other previous works.","PeriodicalId":339697,"journal":{"name":"2014 9th International Conference on Computer Engineering & Systems (ICCES)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117240571","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

Acceleration of accurate floating point operations using SIMD 使用SIMD加速精确浮点运算

2014 9th International Conference on Computer Engineering & Systems (ICCES) Pub Date : 2014-12-01 DOI: 10.1109/ICCES.2014.7030962

DiaaEldin M. Abdalla, A. M. Zaki, Ayman M. Bahaa-Eldin

{"title":"Acceleration of accurate floating point operations using SIMD","authors":"DiaaEldin M. Abdalla, A. M. Zaki, Ayman M. Bahaa-Eldin","doi":"10.1109/ICCES.2014.7030962","DOIUrl":"https://doi.org/10.1109/ICCES.2014.7030962","url":null,"abstract":"Several computing systems that use decimal number calculations suffer from the accumulation and propagation of errors. Decimal numbers are represented using specific length floating point formats and hence there will always be a truncation of extra fraction bits causing errors. Several solutions had been proposed for such a problem. Among those accurate calculation systems was the usage of vectors of floating point numbers to represent decimal values with very large accuracy, known as Multi-Number System (MN). Unfortunately, MN calculations are time consuming and are not suitable for real time applications. Several attempts for special architectures had been proposed to speed up those calculations. In this work, the Single Instruction Multiple Data (SIMD) paradigm found in modern CPUs is exploited to accelerate the MN calculations. The basic arithmetic operation algorithms had been modified to utilize the SIMD architecture and a new Square representation of operands had been proposed, this representation was introduced because the MN operations are sequential and iterative, and thus we can't apply the SIMD parallel instructions directly. The proposed architecture has an execution time that is 35% of the original MN execution time for the division, which is the most time consuming operation while preserving the same accuracy.","PeriodicalId":339697,"journal":{"name":"2014 9th International Conference on Computer Engineering & Systems (ICCES)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116177309","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

Component analysis of a Sentiment Analysis framework on different corpora 基于不同语料库的情感分析框架的成分分析

2014 9th International Conference on Computer Engineering & Systems (ICCES) Pub Date : 2014-12-01 DOI: 10.1109/ICCES.2014.7030976

Walaa Medhat, A. Yousef, H. K. Mohamed

{"title":"Component analysis of a Sentiment Analysis framework on different corpora","authors":"Walaa Medhat, A. Yousef, H. K. Mohamed","doi":"10.1109/ICCES.2014.7030976","DOIUrl":"https://doi.org/10.1109/ICCES.2014.7030976","url":null,"abstract":"Sentiment Analysis (SA) is the computational study of people's opinions about certain topics. With the massive growth of web 2.0 technologies, many sources of data and corpora are available for SA. There are some recent frameworks proposed in this field that can deal with different corpora. This paper presents a component analysis of recently proposed sentiment analysis framework. The framework components are divided to three stages, each of which contains many alternatives. The first stage is the text processing which include “handling negations, removing stopwords, and using selective words of part-of-speech tags”. The second stage is the feature extractions which are “unigrams and bigrams”. The third stage is the text classification which was done using “Naïve Bayes and Decision Tree” classifiers. It is important to analyze the components of the framework to configure which scenario is better for each corpus used. The analysis is enhanced by applying the framework components on the benchmark corpus movie reviews in addition to the prepared corpora from online social network sites and a review site. The results show that applying all the stages of text processing techniques ultimately decrease the classifiers' training time with no significant penalty in accuracy. The results also show that “Naïve Bayes” gives higher accuracy in case of balanced benchmark corpus while “Decision tree” classifier is better for imbalance data from social network.","PeriodicalId":339697,"journal":{"name":"2014 9th International Conference on Computer Engineering & Systems (ICCES)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122162321","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

A fast non-local based stereo matching algorithm using graph cuts 一种基于图切的快速非局部立体匹配算法

2014 9th International Conference on Computer Engineering & Systems (ICCES) Pub Date : 2014-12-01 DOI: 10.1109/ICCES.2014.7030943

Doaa A. Altantawy, Marwa Obbaya, S. Kishk

引用次数: 10