Int. Arab J. Inf. Technol.最新文献_第8页

A topic-specific web crawler using deep convolutional networks 使用深度卷积网络的特定主题网络爬虫

Int. Arab J. Inf. Technol. Pub Date : 2023-01-01 DOI: 10.34028/iajit/20/3/3

Saed Alqaraleh, Hatice Meltem Nergiz Sirin

{"title":"A topic-specific web crawler using deep convolutional networks","authors":"Saed Alqaraleh, Hatice Meltem Nergiz Sirin","doi":"10.34028/iajit/20/3/3","DOIUrl":"https://doi.org/10.34028/iajit/20/3/3","url":null,"abstract":"This paper presented a new focused crawler that efficiently supports the Turkish language. The developed architecture was divided into multiple units: a control unit, crawler unit, link extractor unit, link sorter unit, and natural language processing unit. The crawler's units can work in parallel to process the massive amount of published websites. Also, the proposed Convolutional Neural Network (CNN) based natural language processing unit can professionally classifying Turkish text and web pages. Extensive experiments using three datasets have been performed to illustrate the performance of the developed approach. The first dataset contains 50,000 Turkish web pages downloaded by the developed crawler, while the other two are publicly available and consist of “28,567” and “22,431” Turkish web pages, respectively. In addition, the Vector Space Model (VSM) in general and word embedding state-of-the-art techniques, in particular, were investigated to find the most suitable one for the Turkish language. Overall, results indicated that the developed approach had achieved good performance, robustness, and stability when processing the Turkish language. Also, Bidirectional Encoder Representations from Transformer (BERT) was found to be the most appropriate embedding for building an efficient Turkish language classification system. Finally, our experiments showed superior performance of the developed natural language processing unit against seven state-of-the-art CNN classification systems. Where accuracy improvement compared to the second-best is 10% and 47% compared to the lowest performance.","PeriodicalId":13624,"journal":{"name":"Int. Arab J. Inf. Technol.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82471511","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

Rating the Crisis of Online Public Opinion Using a Multi-Level Index System 基于多层次指标体系的网络舆情危机评价

Int. Arab J. Inf. Technol. Pub Date : 2022-07-29 DOI: 10.34028/iajit/19/4/4

Fanqi Meng, Xixi Xiao, Jingdong Wang

{"title":"Rating the Crisis of Online Public Opinion Using a Multi-Level Index System","authors":"Fanqi Meng, Xixi Xiao, Jingdong Wang","doi":"10.34028/iajit/19/4/4","DOIUrl":"https://doi.org/10.34028/iajit/19/4/4","url":null,"abstract":"Online public opinion usually spreads rapidly and widely, thus a small incident probably evolves into a large social crisis in a very short time, and results in a heavy loss in credit or economic aspects. We propose a method to rate the crisis of online public opinion based on a multi-level index system to evaluate the impact of events objectively. Firstly, the dissemination mechanism of online public opinion is explained from the perspective of information ecology. According to the mechanism, some evaluation indexes are selected through correlation analysis and principal component analysis. Then, a classification model of text emotion is created via the training by deep learning to achieve the accurate quantification of the emotional indexes in the index system. Finally, based on the multi-level evaluation index system and grey correlation analysis, we propose a method to rate the crisis of online public opinion. The experiment with the real-time incident show that this method can objectively evaluate the emotional tendency of Internet users and rate the crisis in different dissemination stages of online public opinion. It is helpful to realizing the crisis warning of online public opinion and timely blocking the further spread of the crisis.","PeriodicalId":13624,"journal":{"name":"Int. Arab J. Inf. Technol.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89586111","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: 51

Segmentation of mammogram abnormalities using ant system based contour clustering algorithm 基于蚁群的轮廓聚类算法的乳房x线异常分割

Int. Arab J. Inf. Technol. Pub Date : 2022-04-14 DOI: 10.37896/pd91.4/91426

S. Subramanian, G. R. Thevar

{"title":"Segmentation of mammogram abnormalities using ant system based contour clustering algorithm","authors":"S. Subramanian, G. R. Thevar","doi":"10.37896/pd91.4/91426","DOIUrl":"https://doi.org/10.37896/pd91.4/91426","url":null,"abstract":"Breast cancer is the most widespread cancer that affects females all over the world. The Computer-aided Detection Systems (CADs) could assist radiologists’ in locating and classifying the breast tissues into normal and abnormal, however the absolute decisions are still made by the radiologist. In general, CAD system consists of four stages: Pre-processing, segmentation, feature extraction, and classification. This research work focuses on the segmentation step, where the abnormal tissues are segmented from the normal tissues. There are numerous approaches presented in the literature for mammogram segmentation. The major limitation of these methods is that they have to test each and every pixel of the image at least once, which is computationally expensive. This research work focuses on detection of microcalcifications from the digital mammograms using a novel segmentation approach based on novel Ant Clustering approach called Ant System based Contour Clustering (ASCC) that simulates the ants’ foraging behavior. The performance of the ASCC based segmentation algorithm is investigated with the mammogram images received from Mammographic Image Analysis Society (MIAS) database.","PeriodicalId":13624,"journal":{"name":"Int. Arab J. Inf. Technol.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74145788","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

An improved iris localization method 一种改进的虹膜定位方法

Int. Arab J. Inf. Technol. Pub Date : 2022-01-01 DOI: 10.34028/iajit/19/2/4

Meisen Pan, Qi Xiong

{"title":"An improved iris localization method","authors":"Meisen Pan, Qi Xiong","doi":"10.34028/iajit/19/2/4","DOIUrl":"https://doi.org/10.34028/iajit/19/2/4","url":null,"abstract":"Iris research has become an inevitable trend in the application of identity recognition due to its uniqueness, stability, non-aggression and other advantages. In this paper, an improved iris localization method is presented. When the iris inner boundary is located, a method for extracting the iris inner boundary based on morphology operations with multi-structural elements is proposed. Firstly, the iris image is pre-processed, and then the circular connected region in the pre-processed image is determined, the parameters of the circular connected region is extracted, finally the center and the radius of the circular connected region is obtained, .i.e., the iris inner boundary is excavated. When the iris outer boundary is located, a method for locating iris outer boundary based on annular region and improved Hough transform is proposed. The iris image is first filtered, and then the filtered image is reduced and an annular region is intercepted, finally Hough transform is used to search the circle within the annular region, i.e., the center and the radius of the iris outer boundary is obtained. The experimental results show that the location accuracy rate of this proposed method is at least 95% and the average running time is increased by 46.2% even higher. Therefore, this proposed method has the advantages of high speed, high accuracy, strong robustness and practicability.","PeriodicalId":13624,"journal":{"name":"Int. Arab J. Inf. Technol.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73565008","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

Analysis of video steganography in military applications on cloud 云视频隐写技术在军事中的应用分析

Int. Arab J. Inf. Technol. Pub Date : 2022-01-01 DOI: 10.34028/iajit/19/6/7

Umadevi Ramamoorthy, Aruna Loganathan

引用次数: 0

A Novel Genetic Algorithm with db4 Lifting for Optimal Sensor Node Placements 基于db4提升的传感器节点优化遗传算法

Int. Arab J. Inf. Technol. Pub Date : 2022-01-01 DOI: 10.34028/iajit/19/5/12

Ganesan Thangavel, P. Rajarajeswari

引用次数: 0

An effective fault-tolerance technique in web services: an approach based on hybrid optimization algorithm of PSO and cuckoo search 一种有效的web服务容错技术:基于粒子群算法和布谷鸟搜索的混合优化方法

Int. Arab J. Inf. Technol. Pub Date : 2022-01-01 DOI: 10.34028/iajit/19/2/10

Fen He, Kimia Rezaei Kalantrai, A. Ebrahimnejad, H. Motameni

{"title":"An effective fault-tolerance technique in web services: an approach based on hybrid optimization algorithm of PSO and cuckoo search","authors":"Fen He, Kimia Rezaei Kalantrai, A. Ebrahimnejad, H. Motameni","doi":"10.34028/iajit/19/2/10","DOIUrl":"https://doi.org/10.34028/iajit/19/2/10","url":null,"abstract":"Software rejuvenation is an effective technique to counteract software aging in continuously-running application such as web service based systems. In client-server applications, where the server is intended to run perpetually, rejuvenation of the server process periodically during the server idle times increases the availability of that service. In these systems, web services are allocated based on the user’s requirements and server’s facilities. Since the selection of a service among candidates while maintaining the optimal quality of service is an Non-Deterministic Polynomial (NP)-hard problem, Meta-heuristics seems to be suitable. In this paper, we proposed dynamic software rejuvenation as a proactive fault-tolerance technique based on a combination of Cuckoo Search (CS) and Particle Swarm Optimization (PSO) algorithms called Computer Program Deviation Request (CPDR). Simulation results on Web Site Dream (WS-DREAM) dataset revealed that our strategy can decrease the failure rate of web services on average 38.6 percent in comparison with Genetic Algorithm (GA), Decision-Tree (DT) and Whale Optimization Algorithm (WOA) strategies.","PeriodicalId":13624,"journal":{"name":"Int. Arab J. Inf. Technol.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79979723","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 hybrid deep learning based assist system for detection and classification of breast cancer from mammogram images 一种基于混合深度学习的辅助系统，用于从乳房x光图像中检测和分类乳腺癌

Int. Arab J. Inf. Technol. Pub Date : 2022-01-01 DOI: 10.34028/iajit/19/6/15

K. Narayanan, R. Krishnan, Y. H. Robinson

引用次数: 2

A Fusion Approach Based on HOG and Adaboost Algorithm for Face Detection under Low-Resolution Images 基于HOG和Adaboost算法的低分辨率人脸检测融合方法

Int. Arab J. Inf. Technol. Pub Date : 2022-01-01 DOI: 10.34028/iajit/19/5/4

Farhad Navabifar, M. Emadi

{"title":"A Fusion Approach Based on HOG and Adaboost Algorithm for Face Detection under Low-Resolution Images","authors":"Farhad Navabifar, M. Emadi","doi":"10.34028/iajit/19/5/4","DOIUrl":"https://doi.org/10.34028/iajit/19/5/4","url":null,"abstract":"Detecting human faces in low-resolution images is more difficult than high quality images because people appear smaller and facial features are not as clear as high resolution face images. Furthermore, the regions of interest are often impoverished or blurred due to the large distance between the camera and the objects which can decrease detection rate and increase false alarms. As a result, the performance of face detection (detection rate and the number of false positives) in low-resolution images can affect directly subsequent applications such as face recognition or face tracking. In this paper, a novel method, based on cascade Adaboost and Histogram of Oriented Gradients (HOG), is proposed to improve face detection performance in low resolution images, while most of researches have been done and tested on high quality images. The focus of this work is to improve the performance of face detection by increasing the detection rate and at the same time decreasing the number of false alarms. The concept behind the proposed combination is based on the a-priori rejection of false positives for a more accurate detection. In other words in order to increase human face detection performance, the first stage (cascade Adaboost) removes the majority of the false alarms while keeping the detection rate high, however many false alarms still exist in the final output. To remove existing false alarms, a stage (HOG+SVM) is added to the first stage to act as a verification module for more accurate detection. The method has been extensively tested on the Carnegie Melon University (CMU) database and the low-resolution images database. The results show better performance compared with existing techniques.","PeriodicalId":13624,"journal":{"name":"Int. Arab J. Inf. Technol.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81867568","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

Compatibility Themed Solution of the Vehicle Routing Problem on the Heterogeneous Fleet 异构车队车辆路径问题的兼容性主题求解

Int. Arab J. Inf. Technol. Pub Date : 2022-01-01 DOI: 10.34028/iajit/19/5/9

Metin Bilgin, N. Bulut

引用次数: 0