2019 First International Conference of Intelligent Computing and Engineering (ICOICE)最新文献

Survey on Image Retrieval Based on Rotation, Translation and Scaling Invariant Features 基于旋转、平移和缩放不变性特征的图像检索研究综述

2019 First International Conference of Intelligent Computing and Engineering (ICOICE) Pub Date : 2019-12-01 DOI: 10.1109/ICOICE48418.2019.9035191

Abdullah Al-Shuibi, Ameen Aldarawani, Homaidi Al-Homaidi, Mohammed Al-Soswa

{"title":"Survey on Image Retrieval Based on Rotation, Translation and Scaling Invariant Features","authors":"Abdullah Al-Shuibi, Ameen Aldarawani, Homaidi Al-Homaidi, Mohammed Al-Soswa","doi":"10.1109/ICOICE48418.2019.9035191","DOIUrl":"https://doi.org/10.1109/ICOICE48418.2019.9035191","url":null,"abstract":"How to retrieve information from the massive image database in time is a “bottleneck” faced by network information processing in recent years and has become a research hotspot at home and abroad. For unstructured image data, we have studied the traditional text-based retrieval method is inefficient, and a content-based image retrieval technique. Compared with standard color, texture and shape features, the image features with the same scale of rotation and translation can get better retrieval results. Therefore, image retrieval based on invariant features has broad research prospects. In this paper, the algorithm of image retrieval based on invariant features is studied. Combined with the principle of integral invariant construction of geometric transformation group and the extraction principle of scale-invariant feature points, two new rotation, translation, and scale-invariant features are presented. That is, the rotation, scaling and translation (RST) invariant feature extraction method and these features are applied to image retrieval.","PeriodicalId":109414,"journal":{"name":"2019 First International Conference of Intelligent Computing and Engineering (ICOICE)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116806656","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

Clustering RDF data using K-medoids 使用k - medioids聚类RDF数据

2019 First International Conference of Intelligent Computing and Engineering (ICOICE) Pub Date : 2019-12-01 DOI: 10.1109/ICOICE48418.2019.9035160

Seham A. Bamatraf, Rasha A. BinThalab

引用次数: 0

Multilayer Base Station Antenna at 3.5 GHz for Future 5G Indoor Systems 未来5G室内系统的3.5 GHz多层基站天线

2019 First International Conference of Intelligent Computing and Engineering (ICOICE) Pub Date : 2019-12-01 DOI: 10.1109/ICOICE48418.2019.9035137

Samir Salem Al- Bawri, M. Islam, K. S. Bin Sahaq, M. Marai, M. Jusoh, T. Sabapathy, Surentiran Padmanathan, Mohammad Tausiful Islam

{"title":"Multilayer Base Station Antenna at 3.5 GHz for Future 5G Indoor Systems","authors":"Samir Salem Al- Bawri, M. Islam, K. S. Bin Sahaq, M. Marai, M. Jusoh, T. Sabapathy, Surentiran Padmanathan, Mohammad Tausiful Islam","doi":"10.1109/ICOICE48418.2019.9035137","DOIUrl":"https://doi.org/10.1109/ICOICE48418.2019.9035137","url":null,"abstract":"The demand of wide range and high-accurate antennas for indoor fifth-generation (5G) positioning systems is highly required due to the higher frequencies and multipath components effects whereas indoor applications will suffer from the short-range coverage and the loss of signals inside the buildings. In this paper, a wide range, compact and multi-layer sub-6 GHz antenna design that can cover 3.4-3.65 GHz is proposed for fifth-generation (5G) new radio N78/N77 application. Three layers form the antenna structure whereas a full ground plane is placed at the middle layer. Furthermore, the bandwidth and resonant frequency vary by using different via radius which is placed between partial and full ground planes. The simulated results show that the proposed antenna has a return loss of less than -32 dB as well as a bandwidth of 250 MHz with a good impedance matching by 60% enlargement compared with the conventional antenna. The maximum achieved gain is 5.58 dBi at 3.5 GHz. Moreover, the proposed antenna radiates directionally with 95% and 65% as maximum radiation and total efficiency, respectively. It can radiate with wide-beam width of 79.9 and 242.4 degrees in xz and xy planes, respectively with respect to 3 dB angular.","PeriodicalId":109414,"journal":{"name":"2019 First International Conference of Intelligent Computing and Engineering (ICOICE)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125669859","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

Impact of System Quality, Information Quality, and Service Quality on Actual Usage of Smart Government 系统质量、信息质量和服务质量对智慧政府实际使用的影响

2019 First International Conference of Intelligent Computing and Engineering (ICOICE) Pub Date : 2019-12-01 DOI: 10.1109/ICOICE48418.2019.9035144

Ali Abdulbaqi Ameen, Khalifah Alfalasi, Nadhmi Gazem, Osama Isaac

{"title":"Impact of System Quality, Information Quality, and Service Quality on Actual Usage of Smart Government","authors":"Ali Abdulbaqi Ameen, Khalifah Alfalasi, Nadhmi Gazem, Osama Isaac","doi":"10.1109/ICOICE48418.2019.9035144","DOIUrl":"https://doi.org/10.1109/ICOICE48418.2019.9035144","url":null,"abstract":"The actual usage of smart government can play vital role in the success of utilizing technologies in contemporary organizations. This comes based on system quality, information quality, and service quality. This study uses the Structural Equations Modelling (SEM) via SmartPLS 3.0 to analyze the 355 valid questionnaires in order to assess the proposed model that is based on Delone & Mclean information system success model to identify factors affecting smart government usage among employees in Abu Dhabi Investment Authority in the United Arab Emirates. The main independent constructs in the model cover system quality, information quality, and service quality. The dependent construct is related to actual usage of smart government services. The study will describe the relationships between different related factors. This research has improved our insight on the importance of technology characteristics of smart government applications. Results indicated that all independent variables significantly influenced actual usage. The proposed model explained 36.1% of the variance in actual usage","PeriodicalId":109414,"journal":{"name":"2019 First International Conference of Intelligent Computing and Engineering (ICOICE)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132797776","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: 17

A Comparative Study Of Co-Occurrence Strategies for Building A Cross-Domain Sentiment Thesaurus 构建跨领域情感词库的共现策略比较研究

2019 First International Conference of Intelligent Computing and Engineering (ICOICE) Pub Date : 2019-12-01 DOI: 10.1109/ICOICE48418.2019.9035179

Tareq Al-Moslmi, M. Albared, Adel Al-Shabi, S. Abdullah, N. Omar

{"title":"A Comparative Study Of Co-Occurrence Strategies for Building A Cross-Domain Sentiment Thesaurus","authors":"Tareq Al-Moslmi, M. Albared, Adel Al-Shabi, S. Abdullah, N. Omar","doi":"10.1109/ICOICE48418.2019.9035179","DOIUrl":"https://doi.org/10.1109/ICOICE48418.2019.9035179","url":null,"abstract":"With the evolution of user-based web content, people naturally and freely share their opinion in numerous domains. However, this would result in a massive cost to label training data for many domains and prevent us from taking advantage of the shared information across-domains. As a result, cross-domain sentiment analysis is a challenging NLP task due to feature and polarity divergence. To build a sentiment sensitive thesaurus that to group different features that express the same sentiments for cross-domain sentiment classification, different co-occurrence measures are used. This paper presents a comparative study covering different co-occurrence methods for building a cross-domain sentiment thesaurus. This work also defines a Bidirectional Conditional Probability (BCP) to handle the unsymmetrical co-occurrence problem. Two machine learning classifiers (Naïve Bayes (NB) and Support Vector Machine (SVM)) and three feature selection methods (Information gain, Odd ratio, Chi-square) are used to evaluate the proposed model. Experimental results show that BCP results outperform four baseline co-occurrence calculation methods (PMI, PMI-square, EMI, and G-means) in the task of cross-domain sentiment analysis.","PeriodicalId":109414,"journal":{"name":"2019 First International Conference of Intelligent Computing and Engineering (ICOICE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115619977","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

Adapting Sequence Alignments for Text Classification 适应序列对齐的文本分类

2019 First International Conference of Intelligent Computing and Engineering (ICOICE) Pub Date : 2019-12-01 DOI: 10.1109/ICOICE48418.2019.9035138

Rasha A. BinThalab, Seham A. Bamatraf

引用次数: 0

Internet of Things for Smart Healthcare: A Hardware Perspective 智能医疗的物联网:硬件视角

2019 First International Conference of Intelligent Computing and Engineering (ICOICE) Pub Date : 2019-12-01 DOI: 10.1109/ICOICE48418.2019.9035175

M. Quasim, Mohammad Ayoub Khan, Monir Abdullah, M. Meraj, S. P. Singh, P. Johri

引用次数: 16

Mobile-based Intelligent Skin Diseases Diagnosis System 基于移动的智能皮肤病诊断系统

2019 First International Conference of Intelligent Computing and Engineering (ICOICE) Pub Date : 2019-12-01 DOI: 10.1109/ICOICE48418.2019.9035129

A. Sallam, Abdulfattah E. Ba Alawi

{"title":"Mobile-based Intelligent Skin Diseases Diagnosis System","authors":"A. Sallam, Abdulfattah E. Ba Alawi","doi":"10.1109/ICOICE48418.2019.9035129","DOIUrl":"https://doi.org/10.1109/ICOICE48418.2019.9035129","url":null,"abstract":"Skin diseases are the most common diseases in humans. The inherent variability in the appearance of skin diseases makes it hard even for medical experts to detect disease type from dermoscopic images. Recent advances in image processing using the Convolution Neural Networks have led to better results in diagnosing systems. We aim to develop an advanced diagnostic system in a manner that meets the requirements of real-time and extensibility of medical services for skin disease detection. The proposed system provides offline diagnosis for the users who have not Internet connection or online diagnosing uses on-cloud service. The user captures the affected area and get the offline immediate report. The schema offers the users a communication window with dermatologists to get medical recommendations in addition to an online accurate diagnosis service. The new images that are labeled by dermatologists are used to retrain the model to enhance model accuracy. To maximize the number of users, the system is implemented in a mobile-based environment. With the growing numbers of portable apps, it becomes easy for people to obtain up-to-date data. Users are familiar with looking for answers from the virtual globe including health issues. The following experimental results demonstrate the feasibility of the proposed method. The average obtained accuracy is 83% in testing cases.","PeriodicalId":109414,"journal":{"name":"2019 First International Conference of Intelligent Computing and Engineering (ICOICE)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126314453","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

A Review on Current and Old SCADA Networks Applied to Water Distribution Systems 当前和旧的SCADA网络在配水系统中的应用综述

2019 First International Conference of Intelligent Computing and Engineering (ICOICE) Pub Date : 2019-12-01 DOI: 10.1109/ICOICE48418.2019.9035134

D. J. Franco, A. Muhammed, S. Subramaniam, Azizol Abdullah, R. Silva, O. K. Akram

{"title":"A Review on Current and Old SCADA Networks Applied to Water Distribution Systems","authors":"D. J. Franco, A. Muhammed, S. Subramaniam, Azizol Abdullah, R. Silva, O. K. Akram","doi":"10.1109/ICOICE48418.2019.9035134","DOIUrl":"https://doi.org/10.1109/ICOICE48418.2019.9035134","url":null,"abstract":"Water is probably the oldest factor receiving attention from the population, since the beginning of the human race. The evolution of water supply systems is directly related to the urban growth of the cities and their geographical location. This study focuses on SCADA (Supervisory Control And Data Acquisition) systems used to control and managing water distribution systems all around the world, highlighting their components and deeply approaching SCADA networks and communication protocols. Based on the need of protection and security on SCADA networks, this study aims to provide a review of the existing literature, through the case study of water distribution systems, identifying the different components of a SCADA system, as well as its communication architectures and protocols and some known attacks, to design a framework on current and old SCADA networks. Results show that SCADA systems are not just applied to water distribution and water waste systems, but also to many other industrial automated systems that control on crucial systems. The security of such systems is yet weak and faces many vulnerabilities and threats, where security mechanisms must be applied. For this purpose, the study of SCADA networks and communications is considered a crucial point for the correct development of security tools.","PeriodicalId":109414,"journal":{"name":"2019 First International Conference of Intelligent Computing and Engineering (ICOICE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134132117","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

Mammogram Classification using Supervising Vector Machine and K-Nearest Neighbors for Diagnosis of Breast Cancer 基于监督向量机和k近邻的乳腺x线照片分类诊断乳腺癌

2019 First International Conference of Intelligent Computing and Engineering (ICOICE) Pub Date : 2019-12-01 DOI: 10.1109/ICOICE48418.2019.9035156

Shada Omer Khanbari, A. Haider

{"title":"Mammogram Classification using Supervising Vector Machine and K-Nearest Neighbors for Diagnosis of Breast Cancer","authors":"Shada Omer Khanbari, A. Haider","doi":"10.1109/ICOICE48418.2019.9035156","DOIUrl":"https://doi.org/10.1109/ICOICE48418.2019.9035156","url":null,"abstract":"Breast cancer attacks women in their early productive years of life which become a public health problem, but if detected earlier it will be cured out with limited resources, while retching the advanced stage treating disease is too expensive and often poor outcome. The aim of this research is to obtain a method to classify the breast into either normal or abnormal tissues. The proposed method which is produced in this paper, is incorporating the Local Contrast (LC) with the Contrast Limited Adaptive Histogram Equalization (CLAHE), that will increase the contrast enhancement and to improve the appearance of the image. Region growing technique is used to extract and crop the region of interest (ROI), that contains the tumor with the texture features of that region automatically, with the help of using the Gray Level Co-occurrence Matrix (GLCM) technique. These features are fed into the Fine Gaussian Supper Vector Machine (SVM) classifier. As observed from the performance evaluation the proposed method classifies the mammography images with 97 % accuracy, 95% specificity and 98 % sensitivity.","PeriodicalId":109414,"journal":{"name":"2019 First International Conference of Intelligent Computing and Engineering (ICOICE)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133786762","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