International Conference on Software and Information Engineering最新文献

Positive and Negative Feature-Feature Correlation Measure: AddGain 正特征和负特征相关度量:添加增益

International Conference on Software and Information Engineering Pub Date : 2018-05-02 DOI: 10.1145/3220267.3220270

M. Salama, Ghada Hassan

引用次数: 0

Efficient Architecture for Controlled Accurate Computation using AVX AVX控制精确计算的高效架构

International Conference on Software and Information Engineering Pub Date : 2018-05-02 DOI: 10.1145/3220267.3220292

DiaaEldin M. Osman, M. Sobh, A. Eldin, A. M. Zaki

{"title":"Efficient Architecture for Controlled Accurate Computation using AVX","authors":"DiaaEldin M. Osman, M. Sobh, A. Eldin, A. M. Zaki","doi":"10.1145/3220267.3220292","DOIUrl":"https://doi.org/10.1145/3220267.3220292","url":null,"abstract":"Several applications have problems with the representation of the real numbers because of its drawbacks like the propagation and the accumulation of errors. These numbers have a fixed length format representation that provides a large dynamic range, but on the other hand it causes truncation of some parts of the numbers in case of a number that needs to be represented by a long stream of bits. Researchers suggested many solutions for these errors, one of these solutions is the Multi-Number (MN) system. MN system represents the real number as a vector of floating-point numbers with controlled accuracy by adjusting the length of the vector to accumulate the non-overlapping real number sequences. MN system main drawback is the MN computations that are iterative and time consuming, making it unsuitable for real time applications. In this work, the Single Instruction Multiple Data (SIMD) model supported in modern CPUs is exploited to accelerate the MN Computations. The basic arithmetic operation algorithms had been adjusted to make use of the SIMD architecture and support both single and double precision operations. The new architecture maintains the same accuracy of the original one, when was implemented for both single and double precision. Also, in this paper the normal Gaussian Jordan Elimination algorithm was proposed and used to get the inverse of the Hilbert Matrix, as an example of ill-conditioned matrices, instead of using iterative and time-consuming methods. The accuracy of the operations was proved by getting the inverse of the Hilbert Matrix and verify that the multiplication of the inverse and the original matrix producing the unity matrix. Hilbert Matrix inverse execution time was accelerated and achieved a speedup 3x, compared to the original NM operations. In addition to the previous, the accelerated MN system version was used to solve the polynomial regression problem.","PeriodicalId":177522,"journal":{"name":"International Conference on Software and Information Engineering","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126757725","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

Directer: A Parallel and Directed Fuzzing based on Concolic Execution Directer:一种基于协同执行的并行定向模糊测试

International Conference on Software and Information Engineering Pub Date : 2018-05-02 DOI: 10.1145/3220267.3220272

Xiaobin Song, Zehui Wu, Yunchao Wang

引用次数: 0

Image Denoising Technique for CT Dose Modulation CT剂量调制图像去噪技术

International Conference on Software and Information Engineering Pub Date : 2018-05-02 DOI: 10.1145/3220267.3220288

Haneen A. Elyamani, S. El-Seoud, E. Rashed

引用次数: 0

Example-Based English to Arabic Machine Translation: Matching Stage Using Internal Medicine Publications 基于实例的英语到阿拉伯语机器翻译:基于内科出版物的匹配阶段

International Conference on Software and Information Engineering Pub Date : 2018-05-02 DOI: 10.1145/3220267.3220294

R. Ehab, Eslam Amer, M. Gadallah

引用次数: 0

A New Approach for Implementing 3D Video Call on Cloud Computing Infrastructure 在云计算基础设施上实现3D视频通话的新方法

International Conference on Software and Information Engineering Pub Date : 2018-05-02 DOI: 10.1145/3220267.3220274

Nada Radwan, M. B. Abdelhalim, Ashraf AbdelRaouf

引用次数: 1

An Empirical Study with Function Point Analysis for Software Development Phase Method 软件开发阶段法中功能点分析的实证研究

International Conference on Software and Information Engineering Pub Date : 2018-05-02 DOI: 10.1145/3220267.3220268

J. Shah, Nazri Kama, Saiful Adli Ismail

{"title":"An Empirical Study with Function Point Analysis for Software Development Phase Method","authors":"J. Shah, Nazri Kama, Saiful Adli Ismail","doi":"10.1145/3220267.3220268","DOIUrl":"https://doi.org/10.1145/3220267.3220268","url":null,"abstract":"It is important to know the actual size and complexity of the software before predicting the amount of effort required to be implemented. Two most common methods used for software size estimation are: (i) Source Lines of Code (SLOC) and (ii) Function Point Analysis (FPA). Estimating the size of a software with SLOC method is only possible once the process of coding is completed. On the other hand, estimating software size with FPA method is possible in early phases of Software Development Life Cycle (SDLC). However, one main challenge from the viewpoint of software development phase, is the presence of inconsistent states of software artifacts i.e. some of the classes are completely developed, some are partially developed, and some are not developed yet. Therefore, this research is using the new developed model i.e. Function Point Analysis for Software Development Phase (FPA-SDP) in an empirical study to overcome this challenge. The results of FPA-SDP model can help software project managers in: (i) knowing the inconsistent states of software artifacts (ii) estimating the actual size of a change request with its complexity level for software development phase.","PeriodicalId":177522,"journal":{"name":"International Conference on Software and Information Engineering","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127008520","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

Extraction of Egyptian License Plate Numbers and Characters Using SURF and Cross Correlation 利用SURF和互相关提取埃及车牌号码和字符

International Conference on Software and Information Engineering Pub Date : 2018-05-02 DOI: 10.1145/3220267.3220276

A. Nosseir, Ramy Roshdy

{"title":"Extraction of Egyptian License Plate Numbers and Characters Using SURF and Cross Correlation","authors":"A. Nosseir, Ramy Roshdy","doi":"10.1145/3220267.3220276","DOIUrl":"https://doi.org/10.1145/3220267.3220276","url":null,"abstract":"In Egypt, Traffic police or traffic officers usually write down the car license numbers and characters to enforce traffic rules. This is subject to errors of writing or reading the numbers and characters. The proposed work can utilise the advantage of widely spread of mobile phones. Officers can take pictures of car plate licenses and the system converts the pictures of car plate numbers and characters into digital numbers and letters. Arabic characters are challenging because some are very similar to each other's unlike the English characters.. For example, feh (ف) and Qaaf (ق), noon (ن) and ba (ب) difference is minor. The challenge of this work is to extract the Arabic characters and numbers with high accuracy from pictures of new and old car plate design and pictures by regular people.\u0000 The algorithm has five steps image acquisition, pre-processing, segmentation, feature extraction, and character recognition. To improve the performance time, in the pre-processing step, the developed system tests the cropped area, converts the picture into gray scale, reverses color, and converts it into binary image. Then, it uses morphological operations which is dilation. To improve the accuracy, in the feature extraction step it uses SURF (Speeded Up Robust Features) and cross correlation algorithms in the character recognition. The system is tested with 21 plate pictures and the accuracy is 95% and only one plate picture was missed.","PeriodicalId":177522,"journal":{"name":"International Conference on Software and Information Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131061168","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

Computer Aided Diagnosis System for Liver Cirrhosis Based on Ultrasound Images 基于超声图像的肝硬化计算机辅助诊断系统

International Conference on Software and Information Engineering Pub Date : 2018-05-02 DOI: 10.1145/3220267.3220283

Reham Rabie, M. Eltoukhy, M. Al-Shatouri, E. Rashed

引用次数: 1

Using SMOTE and Heterogeneous Stacking in Ensemble learning for Software Defect Prediction 基于SMOTE和异构堆叠的集成学习软件缺陷预测

International Conference on Software and Information Engineering Pub Date : 2018-05-02 DOI: 10.1145/3220267.3220286

S. El-Shorbagy, Wael El-Gammal, W. Abdelmoez

{"title":"Using SMOTE and Heterogeneous Stacking in Ensemble learning for Software Defect Prediction","authors":"S. El-Shorbagy, Wael El-Gammal, W. Abdelmoez","doi":"10.1145/3220267.3220286","DOIUrl":"https://doi.org/10.1145/3220267.3220286","url":null,"abstract":"Nowadays, there are a lot of classifications models used for predictions in the software engineering field such as effort estimation and defect prediction. One of these models is the ensemble learning machine that improves model performance by combining multiple models in different ways to get a more powerful model.\u0000 One of the problems facing the prediction model is the misclassification of the minority samples. This problem mainly appears in the case of defect prediction. Our aim is the classification of defects which are considered minority samples during the training phase. This can be improved by implementing the Synthetic Minority Over-Sampling Technique (SMOTE) before the implementation of the ensemble model which leads to over-sample the minority class instances.\u0000 In this paper, our work propose applying a new ensemble model by combining the SMOTE technique with the heterogeneous stacking ensemble to get the most benefit and performance in training a dataset that focus on the minority subset as in the software prediction study. Our proposed model shows better performance that overcomes other techniques results applied on the minority samples of the defect prediction.","PeriodicalId":177522,"journal":{"name":"International Conference on Software and Information Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129966269","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: 16