发布求助
文献互助 智能选刊 最新文献

2018 International Conference on Computing Sciences and Engineering (ICCSE)最新文献

筛选
英文 中文
Mobile Commerce Applications and Adoption for Kuwait 科威特的移动商务应用和采用
2018 International Conference on Computing Sciences and Engineering (ICCSE) Pub Date : 2018-03-01 DOI: 10.1109/ICCSE1.2018.8374217
Fatima J. Jaz, Fawzeyah H. AlSabah, M. Sarfraz
{"title":"Mobile Commerce Applications and Adoption for Kuwait","authors":"Fatima J. Jaz, Fawzeyah H. AlSabah, M. Sarfraz","doi":"10.1109/ICCSE1.2018.8374217","DOIUrl":"https://doi.org/10.1109/ICCSE1.2018.8374217","url":null,"abstract":"This paper focuses on Mobile Commerce and its effects on businesses and the traditional shopping behavior in the community. It specifically handles different online food ordering platforms, and the factors of people accepting and adopting Mobile Commerce in Kuwait. It hypothesizes that most significant factors which influence acceptance and adoption of mobile commerce in Kuwait are: social influence, ease of use and online payment method. The empirical data was collected through a survey from mobile device users. The survey was designed and a total of 132 responses were used for data analysis.","PeriodicalId":383579,"journal":{"name":"2018 International Conference on Computing Sciences and Engineering (ICCSE)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124877595","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
Tifinagh Character Recognition: A Survey 汉字识别:综述
2018 International Conference on Computing Sciences and Engineering (ICCSE) Pub Date : 2018-03-01 DOI: 10.1109/ICCSE1.2018.8374225
Y. Ouadid, A. Elbalaoui, M. Fakir, B. Minaoui
{"title":"Tifinagh Character Recognition: A Survey","authors":"Y. Ouadid, A. Elbalaoui, M. Fakir, B. Minaoui","doi":"10.1109/ICCSE1.2018.8374225","DOIUrl":"https://doi.org/10.1109/ICCSE1.2018.8374225","url":null,"abstract":"Optical Character Recognition (OCR) is considered as one of the important tools that contributes to the communication man-machine. It is the conversion process of printed or handwritten text images into machine-encoded text. Intensive research has been done and a large number of works have been published on this topic during the last few decades especially for Roman, Chinese and Arabic scripts. As for Amazigh scripts (Tifinagh), due to its recent integration into information systems, the number of works done on Tifinagh Character Recognition is not sufficient. A state-of-the-art survey about the works available in the area of OCR for Amazigh scripts would be of a great aid to the researchers. Hence, a sincere attempt is made in this article to discuss the advancements reported recently in the literature. This survey is organized into six major sections covering a general overview (an introduction) about OCR systems and their techniques, methodologies of feature-based OCR, properties and background of Amazigh scripts, research work in Tifinagh character recognition (printed and handwritten), scope and conclusions.","PeriodicalId":383579,"journal":{"name":"2018 International Conference on Computing Sciences and Engineering (ICCSE)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125486166","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
VAK Personalized Learner-Sourced E-Notes VAK个性化学习者来源的电子笔记
2018 International Conference on Computing Sciences and Engineering (ICCSE) Pub Date : 2018-03-01 DOI: 10.1109/ICCSE1.2018.8374226
Hebah Alanbaei, Maha Faisal, A. Alsumait
{"title":"VAK Personalized Learner-Sourced E-Notes","authors":"Hebah Alanbaei, Maha Faisal, A. Alsumait","doi":"10.1109/ICCSE1.2018.8374226","DOIUrl":"https://doi.org/10.1109/ICCSE1.2018.8374226","url":null,"abstract":"A scalable personalized eLearning experience is a big challenge especially when preparing personalized learning material. Introducing learner-sourcing, where eLearning is augmented with human computation tasks performed by learners. A learner will collaborate in the personalization and learning process through learner-sourcing resulting in a scalable approach to producing learning material. This paper describes a Visual-Auditory-Kinesthetic (VAK) personalization learner-sourced electronic notes. The personalization is based on the VAK Learning style model where learners are grouped into communities based on their learning style to engage in preparing their personalized notes.","PeriodicalId":383579,"journal":{"name":"2018 International Conference on Computing Sciences and Engineering (ICCSE)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127777471","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
Virtual Environment for Automobile Driving Test 汽车驾驶考试虚拟环境
2018 International Conference on Computing Sciences and Engineering (ICCSE) Pub Date : 2018-03-01 DOI: 10.1109/ICCSE1.2018.8374227
A. M. Ali, M. Sarfraz
{"title":"Virtual Environment for Automobile Driving Test","authors":"A. M. Ali, M. Sarfraz","doi":"10.1109/ICCSE1.2018.8374227","DOIUrl":"https://doi.org/10.1109/ICCSE1.2018.8374227","url":null,"abstract":"The aim of this study is to prepare the novice with knowledge and skills prior practical evaluation to generate better driving trend. It also proposes the idea of international online driving assessment using information technology as well as virtual graphic environment. This research performs a mixed method pattern that involves in- depth knowledge on driving practices and performance, design development, and quantitative analysis. Additionally, it implements a cross- sectional survey to evaluate the significance of having automobile driving e-testing and online guide as a formal requirement to licence assessments. Findings would suggest the necessity to have graphical assistance to help improve driving skills, awareness, and optimization to space and time.","PeriodicalId":383579,"journal":{"name":"2018 International Conference on Computing Sciences and Engineering (ICCSE)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125256069","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
Robust Medical Image Watermarking Using Frequency Domain and Least Significant Bits Algorithms 基于频域和最小有效位算法的鲁棒医学图像水印
2018 International Conference on Computing Sciences and Engineering (ICCSE) Pub Date : 2018-03-01 DOI: 10.1109/ICCSE1.2018.8374221
E. Elbasi, Volkan Kaya
{"title":"Robust Medical Image Watermarking Using Frequency Domain and Least Significant Bits Algorithms","authors":"E. Elbasi, Volkan Kaya","doi":"10.1109/ICCSE1.2018.8374221","DOIUrl":"https://doi.org/10.1109/ICCSE1.2018.8374221","url":null,"abstract":"Watermarking and stenography are getting importance recently because of copyright protection and authentication. In watermarking we embed stamp, logo, noise or image to multimedia elements such as image, video, audio, animation, software and text. There are several works have been done in watermarking for different purposes. In this research work we used watermarking techniques to embed patient information into the medical magnetic resonance (MR) images. There are two methods have been used; frequency domain (Digital Wavelet Transform-DWT, Digital Cosine Transform-DCT and Digital Fourier Transform-DFT) and spatial domain (Least Significant Bits-LSB). Experimental results show that embedding in frequency domains resist against one group of attacks, and embedding in spatial domain is resist against another group of attacks. Peak Signal Noise Ratio (PSNR) and Similarity Ratio (SR) values are two measurement values for testing. This two values gives very promising result for information hiding in medical MR images.","PeriodicalId":383579,"journal":{"name":"2018 International Conference on Computing Sciences and Engineering (ICCSE)","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133774489","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: 20
Adaptive Spectrum Allocation Algorithm for Elastic Optical Networks with Survivability 具有生存性弹性光网络的自适应频谱分配算法
2018 International Conference on Computing Sciences and Engineering (ICCSE) Pub Date : 2018-03-01 DOI: 10.1109/ICCSE1.2018.8373997
Anwar Alyatama
{"title":"Adaptive Spectrum Allocation Algorithm for Elastic Optical Networks with Survivability","authors":"Anwar Alyatama","doi":"10.1109/ICCSE1.2018.8373997","DOIUrl":"https://doi.org/10.1109/ICCSE1.2018.8373997","url":null,"abstract":"Elastic optical networks (EONs) have emerged as the preferred technology for future optical networks because of its ability to flexible assignment of spectral resources. In EONs, multiple frequency slots can be allocated to accommodate both subwavelength and superwavelength traffic. An important factor in the success of EONs is routing and spectrum allocation (RSA). In this paper, we propose an adaptive spectrum allocation algorithm for EONs in the case of survivability. The algorithm is based on relative cost and learning automata to produce the near-optimal searching sequence of the optical spectrum. The algorithm estimates the gain (cost) of carrying a call at a set of contiguous frequency slots on subsequent (future) call arrival. This gain (cost) will be used to sort and the starting frequencies. Simulation results show that our algorithm outperforms existing algorithms and provide savings for the normalized revenue loss up to 45% over the static first-fit RSA.","PeriodicalId":383579,"journal":{"name":"2018 International Conference on Computing Sciences and Engineering (ICCSE)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126277573","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
Literature Survey of Arabic Speech Recognition 阿拉伯语语音识别的文献综述
2018 International Conference on Computing Sciences and Engineering (ICCSE) Pub Date : 2018-03-01 DOI: 10.1109/ICCSE1.2018.8374215
Fawaz S. Al-Anzi, Dia AbuZeina
{"title":"Literature Survey of Arabic Speech Recognition","authors":"Fawaz S. Al-Anzi, Dia AbuZeina","doi":"10.1109/ICCSE1.2018.8374215","DOIUrl":"https://doi.org/10.1109/ICCSE1.2018.8374215","url":null,"abstract":"Speech recognition poses some interesting challenges such as varying acoustic conditions, dialects, and articulation at word's boundaries. Large vocabulary speaker-independent continuous speech recognition systems have recently received significant attention. In this paper, we present a survey of Arabic speech recognition that even has more challenges such as the optional diacritization of the Arabic script. Even though Arabic is a live language that is spreading widely throughout a large area, the research devoted to this technology still in the early stages compared to other languages such as English language. In this study, we highlight the progress made so far in Arabic speech recognition field that include corpora, phonemes, language models, acoustic models, and some promising research directions. This survey reveals that the shortage of freely available continuous speech corpora deserves more research attention in this domain. It also shows a need to compile large corpora or a benchmark, as it will be a key factor to promote the Arabic language research for effective human-computer interaction.","PeriodicalId":383579,"journal":{"name":"2018 International Conference on Computing Sciences and Engineering (ICCSE)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124895638","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
Deep Galaxy V2: Robust Deep Convolutional Neural Networks for Galaxy Morphology Classifications 深星系V2:用于星系形态分类的鲁棒深度卷积神经网络
2018 International Conference on Computing Sciences and Engineering (ICCSE) Pub Date : 2018-03-01 DOI: 10.1109/ICCSE1.2018.8374210
N. E. Khalifa, Mohamed Hamed Taha, A. Hassanien, I. Selim
{"title":"Deep Galaxy V2: Robust Deep Convolutional Neural Networks for Galaxy Morphology Classifications","authors":"N. E. Khalifa, Mohamed Hamed Taha, A. Hassanien, I. Selim","doi":"10.1109/ICCSE1.2018.8374210","DOIUrl":"https://doi.org/10.1109/ICCSE1.2018.8374210","url":null,"abstract":"This paper is an extended version of \"Deep Galaxy: Classification of Galaxies based on Deep Convolutional Neural Networks\". In this paper, a robust deep convolutional neural network architecture for galaxy morphology classification is presented. A galaxy can be classified based on its features into one of three categories (Elliptical, Spiral, or Irregular) according to the Hubble galaxy morphology classification from 1926. The proposed convolutional neural network architecture consists of 8 layers, including one main convolutional layer for feature ex-traction with 96 filters and two principle fully connected layers for classification. The architecture is trained over 4238 images and achieved a 97.772% testing accuracy. In this version, \"Deep Galaxy V2\", an augmentation process is applied to the training data to overcome the overfitting problem and make the proposed architecture more robust and immune to memorizing the training data. A comparative result is present, and the testing accuracy was compared with those of other related works. The proposed architecture outperformed the other related works in terms of its testing accuracy.","PeriodicalId":383579,"journal":{"name":"2018 International Conference on Computing Sciences and Engineering (ICCSE)","volume":"369 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116617816","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: 25
Emojis-Based Sentiment Classification of Arabic Microblogs Using Deep Recurrent Neural Networks 基于表情符号的阿拉伯语微博情感分类的深度递归神经网络
2018 International Conference on Computing Sciences and Engineering (ICCSE) Pub Date : 2018-03-01 DOI: 10.1109/ICCSE1.2018.8374211
Sadam Al-Azani, El-Sayed M. El-Alfy
{"title":"Emojis-Based Sentiment Classification of Arabic Microblogs Using Deep Recurrent Neural Networks","authors":"Sadam Al-Azani, El-Sayed M. El-Alfy","doi":"10.1109/ICCSE1.2018.8374211","DOIUrl":"https://doi.org/10.1109/ICCSE1.2018.8374211","url":null,"abstract":"Machine-learning based sentiment classification has gained increasing popularity for analyzing online content in social media. A new generation of artificial neural networks is deep learning, which has been successfully applied in several domains. In this study, we empirically evaluate two state-of-the-art models of deep recurrent neural networks to detect sentiment polarity of Arabic microblogs. We considered both unidirectional and bidirectional Long Short-Term Memory (LSTM) and its simplified variant Gated Recurrent Unit (GRU). Moreover, due to the complexities and challenges facing the Arabic language to model short dialectical text, which is commonly used in microblogs, we aim to assess non-verbal features extracted from a dataset of 2091 microblogs. We also compared the performance to baseline traditional learning methods and deep neural networks. The experimental results reveal that LSTM and GRU based models significantly outperform other classifiers with a slight difference between them with best results attained when using bidirectional GRU.","PeriodicalId":383579,"journal":{"name":"2018 International Conference on Computing Sciences and Engineering (ICCSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129584978","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: 32
Mobicare: E-Health and Emergency Wireless Monitoring System 移动医疗:电子医疗和应急无线监测系统
2018 International Conference on Computing Sciences and Engineering (ICCSE) Pub Date : 2018-03-01 DOI: 10.1109/ICCSE1.2018.8374216
Ali Kelkawi, H. Najafpour, A. Khalifa, M. Khanafer
{"title":"Mobicare: E-Health and Emergency Wireless Monitoring System","authors":"Ali Kelkawi, H. Najafpour, A. Khalifa, M. Khanafer","doi":"10.1109/ICCSE1.2018.8374216","DOIUrl":"https://doi.org/10.1109/ICCSE1.2018.8374216","url":null,"abstract":"With the advancement of electronic health (e- health) technologies in the past few years, a number of wearable technologies have been developed to improve the process of remotely monitoring patients. These technologies range from invasive to non-invasive, passive to active, offer a range of different applications, and are most commonly implemented in the form of a Wireless Body Area Network, allowing the patient to move freely while logging and storing their vital signals. This paper will discuss different implementations of e-health systems, and will propose Mobicare; a new ZigBee based implementation of a WBAN that is non- invasive, active, cost and power efficient. The paper will discuss the system architecture of the complete prototype, including the analysis of the patient's Electrocardiogram signal using MATLAB, as well as additions to the system in the form of a smartphone application and an automated pharmacy.","PeriodicalId":383579,"journal":{"name":"2018 International Conference on Computing Sciences and Engineering (ICCSE)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127450246","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
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信