2020 International Conference on Computer Science and Software Engineering (CSASE)最新文献_第2页

Pectoral Muscles Removal in Mammogram Image by Hybrid Bounding Box and Region Growing Algorithm 基于混合边界盒和区域生长算法的乳房x线图像胸肌去除

2020 International Conference on Computer Science and Software Engineering (CSASE) Pub Date : 2020-04-01 DOI: 10.1109/CSASE48920.2020.9142055

Enas Mohammed Hussein Saeed, Hayder Adnan Saleh

{"title":"Pectoral Muscles Removal in Mammogram Image by Hybrid Bounding Box and Region Growing Algorithm","authors":"Enas Mohammed Hussein Saeed, Hayder Adnan Saleh","doi":"10.1109/CSASE48920.2020.9142055","DOIUrl":"https://doi.org/10.1109/CSASE48920.2020.9142055","url":null,"abstract":"Breast cancer is one of the most common causes of death among women globally. Accurate and early detection is necessary for decreasing mortality and increase treatment success rates. Mammogram image is currently one of the best ways to detect breast cancer in the early stages, but it contains many artifacts such as noise, labels, and pectoral muscles, that must be deleted or suppressed because it greatly affects the results of the diagnosis in the coming stages. Removing the pectorals muscle is the biggest problem because it possesses an intensity tissue that closely resembles the tissue of fat, glands, and tumors in the form of mammograms. In this paper, an effective algorithm has been suggested by Hybridization Bounding Box and Region growing algorithm (HBBRG) algorithm to solve the problem of pectoral muscle removal which greatly affects the results of tumor detection in the next stages by combines the Bounding Box (BB) and Region growing (RG). To perform this work, pre-processing for mammogram images was applied in two stages. In the first stage, a medium filter and binary image with a specific threshold were used to remove noise and label respectively. In the second phase, the pectoral muscles were removed by applying the (BB) and (RG) algorithm separately, and then we proposed merging the two methods to set up an HBBRG algorithm with the aim to get better results for remove pectoral muscles. The proposed algorithms were tested on all the Mammographic Image Analysis Society (MIAS) database images, and the results showed a significant advantage in the HBBRG algorithm compared to other algorithms as it achieved results in over 98% to completely remove the pectoral muscles of all types of images.","PeriodicalId":254581,"journal":{"name":"2020 International Conference on Computer Science and Software Engineering (CSASE)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133772977","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

Security Improvement of Cloud Data Using Hybrid Cryptography and Steganography 使用混合加密和隐写技术提高云数据的安全性

2020 International Conference on Computer Science and Software Engineering (CSASE) Pub Date : 2020-04-01 DOI: 10.1109/CSASE48920.2020.9142072

Mustafa Abbas, Suadad S. Mahdi, S. A. Hussien

{"title":"Security Improvement of Cloud Data Using Hybrid Cryptography and Steganography","authors":"Mustafa Abbas, Suadad S. Mahdi, S. A. Hussien","doi":"10.1109/CSASE48920.2020.9142072","DOIUrl":"https://doi.org/10.1109/CSASE48920.2020.9142072","url":null,"abstract":"One of the significant advancements in information technology is Cloud computing, but the security issue of data storage is a big problem in the cloud environment. That is why a system is proposed in this paper for improving the security of cloud data using encryption, information concealment, and hashing functions. In the data encryption phase, we implemented hybrid encryption using the algorithm of AES symmetric encryption and the algorithm of RSA asymmetric encryption. Next, the encrypted data will be hidden in an image using LSB algorithm. In the data validation phase, we use the SHA hashing algorithm. Also, in our suggestion, we compress the data using the LZW algorithm before hiding it in the image. Thus, it allows hiding as much data as possible. By using information concealment technology and mixed encryption, we can achieve strong data security. In this paper, PSNR and SSIM values were calculated in addition to the graph to evaluate the image masking performance before and after applying the compression process. The results showed that PSNR values of stego-image are better for compressed data compared to data before compression.","PeriodicalId":254581,"journal":{"name":"2020 International Conference on Computer Science and Software Engineering (CSASE)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128186054","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

Analysing Factors That Influence Alumni Graduate Studies Attainment with Decision Trees 用决策树分析影响校友研究生学业成就的因素

2020 International Conference on Computer Science and Software Engineering (CSASE) Pub Date : 2020-04-01 DOI: 10.1109/CSASE48920.2020.9142069

Daniela Alejandra Gomez Cravioto, Ramon Eduardo Diaz Ramos, M. Galaz, N. H. Gress, Héctor Gibrán Ceballos Cancino

{"title":"Analysing Factors That Influence Alumni Graduate Studies Attainment with Decision Trees","authors":"Daniela Alejandra Gomez Cravioto, Ramon Eduardo Diaz Ramos, M. Galaz, N. H. Gress, Héctor Gibrán Ceballos Cancino","doi":"10.1109/CSASE48920.2020.9142069","DOIUrl":"https://doi.org/10.1109/CSASE48920.2020.9142069","url":null,"abstract":"In Mexico, higher education is constantly suffering from low percentage of placement and interest of individuals for a graduate degree. Mexico needs more postgraduate students to increase the research and development activities and boost innovation in the private sector, especially in strategic industries. This paper suggests the use of data mining techniques to explore alumni factors and understand if these have a relationship with the alumnus returning to study a postgraduate degree. Fifteen attributes obtained from an alumni survey study were analyzed; this survey contains information from 12,780 former students, which graduated from a bachelor’s degree in Tec de Monterrey. The Cross-Industry Standard Process for Data Mining (CRISP-DM) methodology is used, and the machine learning algorithms, Random Forest, J48 and REPTree are compared to identify the best approach to build a classification model which can predict whether an alumni will study or not a postgraduate degree. For the purpose of this research, the data mining tool used was the Waikato Environment for Knowledge Analysis (WEKA). The resulting model shows that random forest outperforms the other decision tree algorithms based on the accuracy and classifier error, which drives the conclusion that this is a more suitable classifier for the explored dataset.","PeriodicalId":254581,"journal":{"name":"2020 International Conference on Computer Science and Software Engineering (CSASE)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127710857","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

A Survey on the Applications of Smart Home Systems 智能家居系统应用综述

2020 International Conference on Computer Science and Software Engineering (CSASE) Pub Date : 2020-04-01 DOI: 10.1109/CSASE48920.2020.9142103

Jawaher Abdulwahab Fadhil, Omar Ammar Omar, Q. Sarhan

引用次数: 7

Fuzzy logic controller based Shunt Active Power Filter for Current Harmonic Compensation 基于模糊控制器的并联有源电力滤波器电流谐波补偿

2020 International Conference on Computer Science and Software Engineering (CSASE) Pub Date : 2020-04-01 DOI: 10.1109/CSASE48920.2020.9142059

E. M. Thajeel, M. M. Mahdi, E. Abbas

{"title":"Fuzzy logic controller based Shunt Active Power Filter for Current Harmonic Compensation","authors":"E. M. Thajeel, M. M. Mahdi, E. Abbas","doi":"10.1109/CSASE48920.2020.9142059","DOIUrl":"https://doi.org/10.1109/CSASE48920.2020.9142059","url":null,"abstract":"This paper presents the performance investigation of three phase shunt active power filter (SAPF) using proportional integral (PI) and Fuzzy Logic controller (FLC). The control designing applied to active power filters (APFs) play a key role on the improvement the performance of APF. Compensate the harmonic component for the supply current, can improve the power quality and enhance the reliability and stability on power utility. In classical control systems like PI controller, information of the controlled system is essential in the formulation of a set of algebraic and differential equations, which analytically relate inputs and outputs. To overcome all these problems FL based control techniques can be used; it is designed to improve compensation capability by adjusting the current error using a fuzzy rule. The performance of these controllers acting on SAPF has been done on MATLAB simulation. The proposed system is composed by three phase source that fed a non-linear rectifier and impedance consisting of the combination of resistance and capacitance. The obtained results using the proposed controller give satisfactory results and verified through the simulations.","PeriodicalId":254581,"journal":{"name":"2020 International Conference on Computer Science and Software Engineering (CSASE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116164123","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

Performance Evaluation of Graphical User Interfaces in Java and C# 基于Java和c#的图形用户界面性能评价

2020 International Conference on Computer Science and Software Engineering (CSASE) Pub Date : 2020-04-01 DOI: 10.1109/CSASE48920.2020.9142075

Hassan B. Hassan, Q. Sarhan

{"title":"Performance Evaluation of Graphical User Interfaces in Java and C#","authors":"Hassan B. Hassan, Q. Sarhan","doi":"10.1109/CSASE48920.2020.9142075","DOIUrl":"https://doi.org/10.1109/CSASE48920.2020.9142075","url":null,"abstract":"With the growing usage and migration of interactive applications and systems into today’s environment, the significance of the graphical user interfaces (GUIs) increases as they act as the gates into using systems efficiently. Therefore, extensive efforts are spent to enhance the usability of the GUIs. However, most of the works focus on testing the functional properties of applications’ GUIs rather than nonfunctional features such as performance. For this reason, it is worthwhile to assess the performance of various GUI components at runtime. In this paper, the most popular programming languages used to create GUI based applications namely, Java and C# were compared experimentally to evaluate their performance in terms of the creation and manipulation of GUI components/controls. The experimental results of this study, which is based on 32 testing scenarios, showed that Java outperformed C# in all test scenarios. This might be because of the “HotSpot” performance engine that Java uses. This study is useful for developers to get insights into the performance of different GUI components provided by different programming languages. Also, it helps them to choose the right programming language for their GUI based applications hence enhance the overall applications’ performance and user satisfaction.","PeriodicalId":254581,"journal":{"name":"2020 International Conference on Computer Science and Software Engineering (CSASE)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127206780","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

Improving Louvain Algorithm by Leveraging Cliques for Community Detection 利用派系进行社区检测的Louvain算法改进

2020 International Conference on Computer Science and Software Engineering (CSASE) Pub Date : 2020-04-01 DOI: 10.1109/CSASE48920.2020.9142102

Elaf Adel Abbas, H. N. Nawaf

{"title":"Improving Louvain Algorithm by Leveraging Cliques for Community Detection","authors":"Elaf Adel Abbas, H. N. Nawaf","doi":"10.1109/CSASE48920.2020.9142102","DOIUrl":"https://doi.org/10.1109/CSASE48920.2020.9142102","url":null,"abstract":"Community detection is one of the most important fields that help us in understand and analyze the structure of social networks. It is a tool to identify closely related groups in terms of social relations or common interests. In fact, community detection can be applied in social media, web clients, or e-commerce. For this purpose, the traditional Louvain algorithm is used for community detection as a suitable algorithm, since it provides fast, efficient and robust community detection on large static networks. However, the high computing complexity of this algorithm is a motivation of this work. Initially, the existing cliques and the other nodes which have not included in cliques are considered as separated communities instead of considering each node in the network is a community as in the traditional method, then the gain of integrating neighboring communities is calculated. A specific research methodology is followed to ensure that the work is rigorous in achieving the aim of the work. In synthetic and real-world data, the traditional and improved algorithms had to be applied to record the results, then analyze them. Experimentally, the results prove the execution time has reduced if it is compared with the traditional algorithm while preserving the quality of partitions at the same time somewhat.","PeriodicalId":254581,"journal":{"name":"2020 International Conference on Computer Science and Software Engineering (CSASE)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126890096","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

Using Standard Error to Find the Best Robust Regression in Presence of Multicollinearity and Outliers 用标准误差寻找存在多重共线性和异常值的最佳稳健回归

2020 International Conference on Computer Science and Software Engineering (CSASE) Pub Date : 2020-04-01 DOI: 10.1109/CSASE48920.2020.9142066

K. Pati

引用次数: 5

Speaker Verification Using Cosine Distance Scoring with i-vector Approach 使用i-vector方法的余弦距离评分的说话人验证

2020 International Conference on Computer Science and Software Engineering (CSASE) Pub Date : 2020-04-01 DOI: 10.1109/CSASE48920.2020.9142088

Musab T. S. Al-Kaltakchi, R. Al-Nima, Mahmood Alfathe, Mohammed A. M. Abdullah

引用次数: 6

Tracking Ball in Soccer Game Video using Extended Kalman Filter 扩展卡尔曼滤波在足球比赛视频中的球跟踪

2020 International Conference on Computer Science and Software Engineering (CSASE) Pub Date : 2020-04-01 DOI: 10.1109/CSASE48920.2020.9142058

H. Najeeb, R. F. Ghani

引用次数: 4