2017 8th International Conference on Information Technology (ICIT)最新文献_第8页

EL-Mossahih V1.0: A hybrid approach for detection and correction of typographical and phonetic transcription errors in Arabic texts EL-Mossahih V1.0:一种用于检测和纠正阿拉伯文本中印刷和语音转录错误的混合方法

2017 8th International Conference on Information Technology (ICIT) Pub Date : 2017-05-01 DOI: 10.1109/ICITECH.2017.8079944

Asma Zahui, Wahiba Elhor, M. A. Chéragui

引用次数: 3

Cognitive management framework for fog computing in IOT case study: Traffic control system 物联网中雾计算认知管理框架案例研究:交通控制系统

2017 8th International Conference on Information Technology (ICIT) Pub Date : 2017-05-01 DOI: 10.1109/ICITECH.2017.8079962

M. A. Mostafa, Ahmad Mohammad Khater Mohammad

{"title":"Cognitive management framework for fog computing in IOT case study: Traffic control system","authors":"M. A. Mostafa, Ahmad Mohammad Khater Mohammad","doi":"10.1109/ICITECH.2017.8079962","DOIUrl":"https://doi.org/10.1109/ICITECH.2017.8079962","url":null,"abstract":"Fog computing is a new computational paradigm proposed by Cisco that subdues the shortcomings of cloud computing by transferring some of the core functions of cloud towards the network edge. Internet of Things (IOT) is a very promising technology, which are used heavily in many areas of life and with such a large and rapid spread produces a lot of challenges in IOT. As reported by Cisco, by the year 2020, the next generation Internet-connected devices would comprise of around 50 billion Internet-connected devices which are located at the edge of the network and require support for mobility, low latency, real-time, and location-aware services. The Cloud computing is used as a main component in IOT architecture to provide processing and storage services for IOT system but the conventional cloud computing architecture is completely centralized in nature, and therefore, fails to provide real-time and low latency services to billions of IOT devices at the edge of the network, simultaneously. The main objective of this research is to combine the capabilities of Fog Computing, Cognitive and Context-Aware IOT to build a cognitive management framework for Fog computing capable of adopting it's behavior in a context-aware fashion to maximize the number of functions that can be carried out in The Fog and to provide a solution for determining which functions should be carried out in the Fog and which should be carried out in the cloud and how the Fog should interact with the Cloud, The same function in some situations can be carried out in the fog while in other situations can be carried out in the cloud according to its context.","PeriodicalId":102480,"journal":{"name":"2017 8th International Conference on Information Technology (ICIT)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114567715","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: 7

Can thermal and visible image fusion improves ear recognition? 热图像和可见光图像融合能提高耳朵识别能力吗?

2017 8th International Conference on Information Technology (ICIT) Pub Date : 2017-05-01 DOI: 10.1109/ICITECH.2017.8079945

Syed Mohd Zahid Syed Zainal Ariffin, N. Jamil, P. Rahman

{"title":"Can thermal and visible image fusion improves ear recognition?","authors":"Syed Mohd Zahid Syed Zainal Ariffin, N. Jamil, P. Rahman","doi":"10.1109/ICITECH.2017.8079945","DOIUrl":"https://doi.org/10.1109/ICITECH.2017.8079945","url":null,"abstract":"This paper intends to study whether thermal and visible image fusion improves ear recognition given illumination variations. Five fusion methods, namely, simple average, mean average, average discrete wavelet transform (DWT), optimized DWT and weighted DWT were tested. The experiments were done using DIAST Variability Illuminated Thermal and Visible Ear Image Datasets. There were two experiments conducted. The first experiment is done using images with three different illumination conditions (i.e. dark, average and bright illuminations) while the second experiment only considers average and brightly illuminated image. The evaluation was done based on ear recognition accuracy where features were extracted based on the histogram of oriented gradients (HOG) while support vector machine (SVM) was used as the classifier. In Experiment 1, thermal images performed best with 96.36% recognition rate while visible images was the lowest with 62.73% accuracy. In Experiment 2, all three DWT fusions scored 95.45% accuracy, surpassing thermal image (94.55%) while visible image still is the lowest with 90.00% recognition rate.","PeriodicalId":102480,"journal":{"name":"2017 8th International Conference on Information Technology (ICIT)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125959717","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: 9

Attribute based diversity model for privacy preservation 基于属性的隐私保护多样性模型

2017 8th International Conference on Information Technology (ICIT) Pub Date : 2017-05-01 DOI: 10.1109/ICITECH.2017.8080053

Salah Bindahman, Muhammad Rafie Hj Mohd Arshad, Nasriah Zakaria

引用次数: 2

Evaluating maintainability of android applications 评估android应用程序的可维护性

2017 8th International Conference on Information Technology (ICIT) Pub Date : 2017-05-01 DOI: 10.1109/ICITECH.2017.8080052

A. Saifan, A. Al-Rabadi

引用次数: 11

Fault detection in photovoltaic system using SLIC and thermal images 基于SLIC和热图像的光伏系统故障检测

2017 8th International Conference on Information Technology (ICIT) Pub Date : 2017-05-01 DOI: 10.1109/ICITECH.2017.8079925

Moath Alsafasfeh, I. Abdel-Qader, B. Bazuin

引用次数: 27

Big data collaborative filtering-based framework for improving education policies 基于大数据协同过滤的教育政策改进框架

2017 8th International Conference on Information Technology (ICIT) Pub Date : 2017-05-01 DOI: 10.1109/ICITECH.2017.8079985

Amal Alhosban, Charlotte Tang

{"title":"Big data collaborative filtering-based framework for improving education policies","authors":"Amal Alhosban, Charlotte Tang","doi":"10.1109/ICITECH.2017.8079985","DOIUrl":"https://doi.org/10.1109/ICITECH.2017.8079985","url":null,"abstract":"The development of educational policies that improve educational systems needs intelligent automated tools for decision making. This need has motivated the development of a new system which can help teachers, schools, and decision makers in enhancing students' performance. The primary concern here is to monitor the students and help the teachers in building action plans that improve students' performance and solve their problems. In this paper, we propose a novel system using collaborative filtering based technology with students' medical history, economic situation, and the concept of ‘neighbors’ in order to solve the students' performance related problems. The system combines collaborative filtering with clustering techniques to predict students' root factors (or causes) that may affect their future performance. We present experimental results from a large dataset that includes more than 10,000 students from 250 different schools. We deployed the new system for a period of 6 months and compared the results with the traditional approach. The system showed improvements in teachers' performance which reflected positively on students' performance.","PeriodicalId":102480,"journal":{"name":"2017 8th International Conference on Information Technology (ICIT)","volume":"35 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128950219","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

Community detection using network structure 基于网络结构的社区检测

2017 8th International Conference on Information Technology (ICIT) Pub Date : 2017-05-01 DOI: 10.1109/ICITECH.2017.8079941

A. Jaradat, R. M. Al-Zoubi

引用次数: 0

Multi-level learning approach for prostate histopathology images classification 前列腺组织病理学图像分类的多级学习方法

2017 8th International Conference on Information Technology (ICIT) Pub Date : 2017-05-01 DOI: 10.1109/ICITECH.2017.8079973

S. Sahran, A. Abdullah, Dheeb Albashish, Sawsan Abu-Taleb

{"title":"Multi-level learning approach for prostate histopathology images classification","authors":"S. Sahran, A. Abdullah, Dheeb Albashish, Sawsan Abu-Taleb","doi":"10.1109/ICITECH.2017.8079973","DOIUrl":"https://doi.org/10.1109/ICITECH.2017.8079973","url":null,"abstract":"The classification of prostate histopathology images is concerned with the identification of multiple classes encompassing different grades of malignancy corresponding to the different observable textural patterns. To address the prostate multiclass classification problem, decomposition schemes are well-known techniques to solve the multiclass classification tasks. Among them two common binary approaches using one-versus-all (OVA) and one-versus-one (OVO) have gained a significant attention from the research community. However, in the case of OVO, the correlation between different classes is not considered as the multiclass problem is broken into multiple independent binary problems. On the other hand, OVA introduces an artificial class imbalance, which degrades the classification performance. In this paper, a new multiclass approach, named multi-level learning architecture (MLA), which handles the binary classification tasks in the multi-level strategy. It does so by taking the correlation between different classes and the domain knowledge into account. In addition, the proposed approach relies upon the ‘divide and conquer’ principle, and work by dividing each binary task into two separate tasks, strong and weak, based on the power of the samples in each binary task. In turn, this motivates the strong samples to produce the final prediction since they have more information about the considered task. Experiments on prostate histopathology images show that the MLA significantly outperforms existing OVO and OVA approaches when they applied on the ensemble framework. The results indicate the high effectiveness of the ensemble framework with MLA scheme in dealing with the prostate multiclass classification problem.","PeriodicalId":102480,"journal":{"name":"2017 8th International Conference on Information Technology (ICIT)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134019185","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

An overview on the state-of-the-art comparison of the three-contextualization paradigms 三种语境化范式的比较研究进展综述

2017 8th International Conference on Information Technology (ICIT) Pub Date : 2017-05-01 DOI: 10.1109/ICITECH.2017.8080038

Khalid Haruna, M. Ismail, A. B. Bichi, Sani Danjuma, H. Kakudi, T. Herawan

引用次数: 5