2020 2nd International Conference on Computer and Information Sciences (ICCIS)最新文献_第6页

Visually Impaired Assistance with Arabic Speech Recognition on GPS 视障人士在GPS上的阿拉伯语语音识别协助

2020 2nd International Conference on Computer and Information Sciences (ICCIS) Pub Date : 2020-10-13 DOI: 10.1109/ICCIS49240.2020.9257692

Siwar Rekik, Lamya Alaqeel, Roaa Kordi, Sara Al-Rashoud

{"title":"Visually Impaired Assistance with Arabic Speech Recognition on GPS","authors":"Siwar Rekik, Lamya Alaqeel, Roaa Kordi, Sara Al-Rashoud","doi":"10.1109/ICCIS49240.2020.9257692","DOIUrl":"https://doi.org/10.1109/ICCIS49240.2020.9257692","url":null,"abstract":"People who have impaired vision regularly need a guide to assist in obstacle avoidance. Several electronic devices are currently used to provide guidance for a remote location. One of the latest trends in technology is Automatic Speech Recognition (ASR) which has become a primary communication tool for special needs people such as visually impaired and blind people. Nowadays, these people in Saudi Arabia could not find public places offering services such as braille readings on menus and flyers, sound facilities, ease of movements, health care and so on. Our application (Ayn) provides a database of several locations and all the information needed. This project investigated the suitability of a user-centered and client-server approach for the development of a talking GPS planned to fill a niche for outdoor wayfinding. We highlight the importance of having more places serving blind people in public places such as restaurants, centers, hospitals, parks … etc. The developed application used a speech-recognition speech-synthesis interface. The prototype solution incorporates a custom web application that accesses the Google Maps API. The system is intended to be scalable and extensible with additional features. The quality of Arabic speech recognition is improved over Google Speech Recognition API for Arabic using one of the machine learning algorithms: Artificial Neural Network (ANN).","PeriodicalId":425637,"journal":{"name":"2020 2nd International Conference on Computer and Information Sciences (ICCIS)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122145636","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

Invariant Shape Descriptors for Handwritten Strokes 手写笔画的不变形状描述符

2020 2nd International Conference on Computer and Information Sciences (ICCIS) Pub Date : 2020-10-13 DOI: 10.1109/ICCIS49240.2020.9257603

M. T. Parvez

引用次数: 2

Proposing a Hybrid RPL Protocol for Rank and Wormhole Attack Mitigation using Machine Learning 提出一种基于机器学习的混合RPL协议，用于Rank和虫洞攻击缓解

2020 2nd International Conference on Computer and Information Sciences (ICCIS) Pub Date : 2020-10-13 DOI: 10.1109/ICCIS49240.2020.9257607

Fatima-tuz-Zahra, Noor Zaman Jhanjhi, S. Brohi, Nazir A. Malik, M. Humayun

{"title":"Proposing a Hybrid RPL Protocol for Rank and Wormhole Attack Mitigation using Machine Learning","authors":"Fatima-tuz-Zahra, Noor Zaman Jhanjhi, S. Brohi, Nazir A. Malik, M. Humayun","doi":"10.1109/ICCIS49240.2020.9257607","DOIUrl":"https://doi.org/10.1109/ICCIS49240.2020.9257607","url":null,"abstract":"Internet of Things have profoundly transformed the way technology is deployed today in different domains of life. However, its widescale implementation has also caused major security concerns in context of data communication because of escalating interconnectivity of resource-constrained smart devices. Due to the exacerbating security attack vulnerability, it has become necessary to address the issue of insecure routing in these devices. Low-power and lossy IoT networks on which they run commonly use RPL for routing due to its lightweight nature and compatibility for data transmission. However, RPL is prone to both WSN-inherited and RPL-specific attacks. Several existing solutions have addressed the detection of some of them. However, lack of mitigation techniques is observed which can extenuate attacks of both types such as wormhole as well as rank attack; when they are launched on an RPL-based network. Therefore, the aim of this study is to introduce RPL, its vulnerability to the two attacks, and the proposition that machine learning techniques like support vector machines can be effectively used to develop a secure and improved version of RPL for mitigation of both WSN-inherited and RPL-specific attacks in an RPL-based IoT network.","PeriodicalId":425637,"journal":{"name":"2020 2nd International Conference on Computer and Information Sciences (ICCIS)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132730117","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: 27

Optimal Short Term Power Load Forecasting Algorithm by Using Improved Artificial Intelligence Technique 基于改进人工智能技术的短期电力负荷优化预测算法

2020 2nd International Conference on Computer and Information Sciences (ICCIS) Pub Date : 2020-10-13 DOI: 10.1109/ICCIS49240.2020.9257675

W. Waheed, Qingshan Xu

引用次数: 0

How Social Media Influencers Affect Consumers' Restaurant Selection: Statistical and Sentiment Analysis 社交媒体影响者如何影响消费者的餐厅选择:统计和情感分析

2020 2nd International Conference on Computer and Information Sciences (ICCIS) Pub Date : 2020-10-13 DOI: 10.1109/ICCIS49240.2020.9257636

Reem Alqadi, Hissah Al-Nojaidi, Leena Alabdulkareem, Muna Alrazgan, Najwa Alghamdi, M. Kamruzzaman

引用次数: 5

NSPP: A Novel algorithm for neutrosophic shortest path problem 中性粒细胞最短路径问题的一种新算法

2020 2nd International Conference on Computer and Information Sciences (ICCIS) Pub Date : 2020-10-13 DOI: 10.1109/ICCIS49240.2020.9257604

S. Broumi, M. Talea, A. Bakali, Guennoun Asmae, T. Mahmood, F. Smarandache, K. Ullah

引用次数: 0

Multi-objective Filter-based Feature Selection Using NSGAIII With Mutual Information and Entropy 基于互信息熵的NSGAIII多目标特征选择

2020 2nd International Conference on Computer and Information Sciences (ICCIS) Pub Date : 2020-10-13 DOI: 10.1109/ICCIS49240.2020.9257701

A. Usman, U. K. Yusof, Sybirah Naim, Nehemiah Musa, H. Chiroma

{"title":"Multi-objective Filter-based Feature Selection Using NSGAIII With Mutual Information and Entropy","authors":"A. Usman, U. K. Yusof, Sybirah Naim, Nehemiah Musa, H. Chiroma","doi":"10.1109/ICCIS49240.2020.9257701","DOIUrl":"https://doi.org/10.1109/ICCIS49240.2020.9257701","url":null,"abstract":"Feature selection (FS) aims to select the subsets of the most informative features by ignoring the redundant ones and consequently, improving the classification performance. Hence, consider as a two objective optimisation problem. Moreover, most of the existing work treats FS as single-objective by combining the two aims into a single fitness function. As such, there is a trade-off between the number of selected features and classification performance. To create a balance between the conflicting aim of the FS and yet improve classification performance, this study proposes the use of nondominated sorting genetic algorithm NSGAIII. Filter-based FS are scalable to large dimensional datasets and computationally fast. However, their classification performance is low because they lack feature interaction among the selected subset of features. Based on that mutual information (MI) along with entropy, are proposed as a filter-based evaluation measure along with the NSGAIII to have NSGAIIIMI and NSGAIIIE. The results obtained was compared with the existing single-objective, NSGAII as well as strength Pareto evolutionary algorithm with both MI and entropy. NSGAIII can successfully evolve the set of nondominated solutions and performs better in terms of the number of selected features, classification error rate and computational time on the majority of the datasets.","PeriodicalId":425637,"journal":{"name":"2020 2nd International Conference on Computer and Information Sciences (ICCIS)","volume":"1999 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128260361","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

Streamflow forecasting using heuristic machine learning methods 使用启发式机器学习方法进行流量预测

2020 2nd International Conference on Computer and Information Sciences (ICCIS) Pub Date : 2020-10-13 DOI: 10.1109/ICCIS49240.2020.9257658

R. Adnan, Zhongmin Liang, Alban Kuriqi, O. Kisi, Anurag Malik, Binquan Li

引用次数: 2

A Convolutional Neural Network Solution for Spectroscopic Data Regression 光谱数据回归的卷积神经网络解决方案

2020 2nd International Conference on Computer and Information Sciences (ICCIS) Pub Date : 2020-10-13 DOI: 10.1109/ICCIS49240.2020.9257653

M. Alsaeed, H. Alhichri

引用次数: 0

An Adaptive Normalized Google Distance Similarity Measure for Extractive Text Summarization 一种用于抽取文本摘要的自适应归一化谷歌距离相似度量

2020 2nd International Conference on Computer and Information Sciences (ICCIS) Pub Date : 2020-10-13 DOI: 10.1109/ICCIS49240.2020.9257668

Albaraa Abuobieda, A. H. Osman

{"title":"An Adaptive Normalized Google Distance Similarity Measure for Extractive Text Summarization","authors":"Albaraa Abuobieda, A. H. Osman","doi":"10.1109/ICCIS49240.2020.9257668","DOIUrl":"https://doi.org/10.1109/ICCIS49240.2020.9257668","url":null,"abstract":"No doubt, for each clustering algorithm running improper similarity calculation, that can lead to reduce the clustering accuracy. Hence, several applications that employ such algorithm are affected negatively and generate improper results. In a previous work, we found that employing the Normalized Google Distance (NGD) similarity measure to cluster document's sentences for text summarization problem is unreasonable; since NGD was basically designed to work with large databases. On the other hand, a term-weighting approach is used widely to define document's contents. In this paper, a term-weighting approach is integrated with the NGD similarity measure to adopt the latter from being able to work in small database (single document). Differential Evolution (DE) algorithm is used to train and test the proposed method. The DUC2002 dataset is preprocessed and used as a test bed. The results showed that our proposed method could outperform the previous work in terms of F-score evaluation measure as well as outperformed the standard baseline methods Microsoft Word and Copernic Summarizer.","PeriodicalId":425637,"journal":{"name":"2020 2nd International Conference on Computer and Information Sciences (ICCIS)","volume":"49 21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124155027","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