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Jordanian Journal of Computers and Information Technology最新文献

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MODIFIED RANDOM BIT CLIMBING ( and #955; -MRBC) FOR TASK MAPPING AND SCHEDULING IN WIRELESS SENSOR NETWORKS 修改随机位爬升(和#955;-mrbc)用于无线传感器网络中的任务映射和调度
IF 1.2
Jordanian Journal of Computers and Information Technology Pub Date : 2019-01-01 DOI: 10.5455/JJCIT.71-1541688581
Yousef E. M. Hamouda
{"title":"MODIFIED RANDOM BIT CLIMBING ( and #955; -MRBC) FOR TASK MAPPING AND SCHEDULING IN WIRELESS SENSOR NETWORKS","authors":"Yousef E. M. Hamouda","doi":"10.5455/JJCIT.71-1541688581","DOIUrl":"https://doi.org/10.5455/JJCIT.71-1541688581","url":null,"abstract":"","PeriodicalId":36757,"journal":{"name":"Jordanian Journal of Computers and Information Technology","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70819430","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
LOW PASS AND QUAD BAND PASS TUNABLE FILTER BASED ON STUB RESONATORS TECHNIQUE 基于短段谐振器技术的低通和四带通可调谐滤波器
IF 1.2
Jordanian Journal of Computers and Information Technology Pub Date : 2019-01-01 DOI: 10.5455/jjcit.71-1557923217
Yanal S. Faouri, Hanin Sharif, L. Smadi, Hani Jamleh
{"title":"LOW PASS AND QUAD BAND PASS TUNABLE FILTER BASED ON STUB RESONATORS TECHNIQUE","authors":"Yanal S. Faouri, Hanin Sharif, L. Smadi, Hani Jamleh","doi":"10.5455/jjcit.71-1557923217","DOIUrl":"https://doi.org/10.5455/jjcit.71-1557923217","url":null,"abstract":"","PeriodicalId":36757,"journal":{"name":"Jordanian Journal of Computers and Information Technology","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70819642","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
MULTI-LEVEL ANALYSIS OF POLITICAL SENTIMENTS USING TWITTER DATA: A CASE STUDY OF THE PALESTINIAN-ISRAELI CONFLICT 利用twitter数据对政治情绪进行多层次分析:以巴以冲突为例
IF 1.2
Jordanian Journal of Computers and Information Technology Pub Date : 2019-01-01 DOI: 10.5455/jjcit.71-1562700251
I. Alagha, Osama Dahrooj
{"title":"MULTI-LEVEL ANALYSIS OF POLITICAL SENTIMENTS USING TWITTER DATA: A CASE STUDY OF THE PALESTINIAN-ISRAELI CONFLICT","authors":"I. Alagha, Osama Dahrooj","doi":"10.5455/jjcit.71-1562700251","DOIUrl":"https://doi.org/10.5455/jjcit.71-1562700251","url":null,"abstract":"","PeriodicalId":36757,"journal":{"name":"Jordanian Journal of Computers and Information Technology","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70819770","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: 10
A Review on the Significance of Machine Learning for Data Analysis in Big Data 大数据中机器学习对数据分析的意义综述
IF 1.2
Jordanian Journal of Computers and Information Technology Pub Date : 2019-01-01 DOI: 10.5455/jjcit.71-1564729835
V. Kolisetty, D. Rajput
{"title":"A Review on the Significance of Machine Learning for Data Analysis in Big Data","authors":"V. Kolisetty, D. Rajput","doi":"10.5455/jjcit.71-1564729835","DOIUrl":"https://doi.org/10.5455/jjcit.71-1564729835","url":null,"abstract":"","PeriodicalId":36757,"journal":{"name":"Jordanian Journal of Computers and Information Technology","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70820119","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
An Improved C4.5 Model Classification Algorithm Based on Taylor's Series 基于泰勒级数的改进C4.5模型分类算法
IF 1.2
Jordanian Journal of Computers and Information Technology Pub Date : 2019-01-01 DOI: 10.5455/jjcit.71-1546551963
Sinam I. Idriss, A. Lawan
{"title":"An Improved C4.5 Model Classification Algorithm Based on Taylor's Series","authors":"Sinam I. Idriss, A. Lawan","doi":"10.5455/jjcit.71-1546551963","DOIUrl":"https://doi.org/10.5455/jjcit.71-1546551963","url":null,"abstract":"C4.5 is one of the most popular algorithms for rule base classification. Many empirical features in the algorithm exist, such as continuous number categorization, missing value handling and over-fitting. However, despite its promising advantage over the Iterative Dichotomiser 3 (ID3), C4.5 has the major setback of presenting the equivalent result as the ID3, especially when the same number of attributes is used. This paper proposes a technique that will handle the setback reported in C4.5. The performance of the proposed technique is measured based on better accuracy. The Entropy of Information Theory is measured to identify the central attribute for the dataset. The researchers apply exponential splitting information (EC4.5) in utilizing the central attribute of the same dataset. The result obtained on introducing Taylor series suggested a far better result than when the C4.5 (gain ratio) was introduced.","PeriodicalId":36757,"journal":{"name":"Jordanian Journal of Computers and Information Technology","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70819467","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
Fuzzy-Rough Classification for Brainprint Authentication 脑印认证的模糊-粗糙分类
IF 1.2
Jordanian Journal of Computers and Information Technology Pub Date : 2019-01-01 DOI: 10.5455/jjcit.71-1556703387
Siaw-Hong Liew, Y. Choo, Y. Low
{"title":"Fuzzy-Rough Classification for Brainprint Authentication","authors":"Siaw-Hong Liew, Y. Choo, Y. Low","doi":"10.5455/jjcit.71-1556703387","DOIUrl":"https://doi.org/10.5455/jjcit.71-1556703387","url":null,"abstract":"The electroencephalogram (EEG) signal is used as biometric modality, because it is proven to be unique, universal and collectable. This work aims to assess the performance of fuzzy-based techniques for brainprint authentication modelling. We benchmark the performance of Fuzzy-Rough Nearest Neighbour (FRNN) technique to the Discernibility Nearest Neighbour (D-kNN) and the Fuzzy Lattice Reasoning (FLR) techniques using the selected samples of brainwaves’ data from the original UCI EEG dataset. All the three classifiers are available in the fuzzy-rough version of WEKA implementation tool. Selected 9 EEG channels located at the midline and lateral regions were used in the experimentation. The coherence, mean of amplitudes and cross-correlation feature extraction methods were used to extract the EEG signals. The area under ROC curve (AUC) measurement of FRNN was promising against the D-kNN and FLR techniques. The FRNN model has achieved the best performance of AUC measure at 0.904 in opposition to the D-kNN and FLR models, where both recorded 0.770 and 0.563, respectively. However, the classification accuracy shows significantly no difference among the three classifiers. The results confirmed that the classification accuracy of D-kNN and FLR techniques is not reliable, because they are highly contributed by the true negative cases. Hence, we conclude that the FRNN model is less biased to imbalance data problem as compared to the D-kNN and FLR models. Future work of this research should focus on optimizing the EEG channel and feature selection in order to obtain a better data representation of biometric brainprint for more efficient authentication in imbalance data problem.","PeriodicalId":36757,"journal":{"name":"Jordanian Journal of Computers and Information Technology","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70819629","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
Automated Arabic Essays Grading System based on F-Score and Arabic WordNet 基于F-Score和阿拉伯语WordNet的阿拉伯语作文自动评分系统
IF 1.2
Jordanian Journal of Computers and Information Technology Pub Date : 2019-01-01 DOI: 10.5455/jjcit.71-1559909066
Saeda awaida, Bassam Shargabi, Thamer Rousan
{"title":"Automated Arabic Essays Grading System based on F-Score and Arabic WordNet","authors":"Saeda awaida, Bassam Shargabi, Thamer Rousan","doi":"10.5455/jjcit.71-1559909066","DOIUrl":"https://doi.org/10.5455/jjcit.71-1559909066","url":null,"abstract":"","PeriodicalId":36757,"journal":{"name":"Jordanian Journal of Computers and Information Technology","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70819702","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
AN ENERGY EFFICIENT QUALITY OF SERVICE (QoS) PARAMETERS BASED VOID AVOIDANCE ROUTING TECHNIQUE FOR UNDERWATER SENSOR NETWORKS 一种基于高能效服务质量(QoS)参数的水下传感器网络空避路由技术
IF 1.2
Jordanian Journal of Computers and Information Technology Pub Date : 2019-01-01 DOI: 10.5455/jjcit.71-1562930035
K. K. Gola, Bhumika Gupta
{"title":"AN ENERGY EFFICIENT QUALITY OF SERVICE (QoS) PARAMETERS BASED VOID AVOIDANCE ROUTING TECHNIQUE FOR UNDERWATER SENSOR NETWORKS","authors":"K. K. Gola, Bhumika Gupta","doi":"10.5455/jjcit.71-1562930035","DOIUrl":"https://doi.org/10.5455/jjcit.71-1562930035","url":null,"abstract":"","PeriodicalId":36757,"journal":{"name":"Jordanian Journal of Computers and Information Technology","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70819980","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
The Utilization of EEG Signal in Video Compression 脑电信号在视频压缩中的应用
IF 1.2
Jordanian Journal of Computers and Information Technology Pub Date : 2019-01-01 DOI: 10.5455/jjcit.71-1564222281
Q. Qananwah, Hussein A. Alzoubi, Ruba Banimfarij, A. Dagamseh, Oliver Hayden
{"title":"The Utilization of EEG Signal in Video Compression","authors":"Q. Qananwah, Hussein A. Alzoubi, Ruba Banimfarij, A. Dagamseh, Oliver Hayden","doi":"10.5455/jjcit.71-1564222281","DOIUrl":"https://doi.org/10.5455/jjcit.71-1564222281","url":null,"abstract":"","PeriodicalId":36757,"journal":{"name":"Jordanian Journal of Computers and Information Technology","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70820112","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 PROPOSED MODEL OF SELECTING FEATURES FOR CLASSIFYING ARABIC TEXT 提出了一种用于阿拉伯语文本分类的特征选择模型
IF 1.2
Jordanian Journal of Computers and Information Technology Pub Date : 1900-01-01 DOI: 10.5455/jjcit.71-1564059469
Ahmed Hassanein, M. Nour
{"title":"A PROPOSED MODEL OF SELECTING FEATURES FOR CLASSIFYING ARABIC TEXT","authors":"Ahmed Hassanein, M. Nour","doi":"10.5455/jjcit.71-1564059469","DOIUrl":"https://doi.org/10.5455/jjcit.71-1564059469","url":null,"abstract":"","PeriodicalId":36757,"journal":{"name":"Jordanian Journal of Computers and Information Technology","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70820104","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
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