Journal of Kufa for Mathematics and Computer最新文献_第7页

Factors Affecting E-Learning System (Sadeem) Adoption among Iraqi Students 影响伊拉克学生采用电子学习系统的因素

Journal of Kufa for Mathematics and Computer Pub Date : 2021-03-30 DOI: 10.31642/jokmc/2018/080102

K. Alminshid

引用次数: 0

Artificial Neural Network algorithm for image Compression and Edge Detection 用于图像压缩和边缘检测的人工神经网络算法

Journal of Kufa for Mathematics and Computer Pub Date : 2021-03-30 DOI: 10.31642/jokmc/2018/080106

Asma Asma Abdulelah Abdulrahman, Fouad Shaker Tahir Al-azawi

引用次数: 0

[0,1] truncated lomax – lomax distribution with properties [0,1]截断lmax - lmax分布的性质

Journal of Kufa for Mathematics and Computer Pub Date : 2021-03-30 DOI: 10.31642/jokmc/2018/080101

Jumana A. Altawil

引用次数: 1

Compressive Sensing over OFDM Systems OFDM系统的压缩感知

Journal of Kufa for Mathematics and Computer Pub Date : 2021-03-30 DOI: 10.31642/jokmc/2018/080104

Z. Al-Shably, Z. M. Hussain

引用次数: 0

A Multi-Carrier Structure for Chaos –Shift Keying 一种用于混沌移位键控的多载波结构

Journal of Kufa for Mathematics and Computer Pub Date : 2021-03-30 DOI: 10.31642/jokmc/2018/080103

Salsabeel S. Hasan, Z. M. Hussain

{"title":"A Multi-Carrier Structure for Chaos –Shift Keying","authors":"Salsabeel S. Hasan, Z. M. Hussain","doi":"10.31642/jokmc/2018/080103","DOIUrl":"https://doi.org/10.31642/jokmc/2018/080103","url":null,"abstract":"The next generation of wireless communications networks needs higher data transfer rates; this requires \u0000to provide wireless communication systems operating at higher spectral efficiencies. In this research, an overall study \u0000on performing a Multi-Carrier Structure for Chaos Shift keying using the Orthogonal Frequency Division \u0000Multiplexing (OFDM) technique because of the limited speed provided by Chaos Shift Keying due to the spreading \u0000factor. OFDM has become an effective investment in the available bandwidth and the basis of 4G, 5G mobile \u0000communication systems that enable high data rates in the wireless communication system. The chaotic sequence was \u0000generated by the proposed tent map. The performance test using the Bit Error Rate (BER), Mean Squared Error \u0000(MSE), correlative test, and the chaotic characteristics of the chaos generator sequence using are tested by the \u0000Lyapunov Exponent. Results showed the proposed method for tent map when (a=0.5) provide ideal chaotic sequence \u0000characteristic, in which difficulty expecting the chaotic type and initial condition. In addition, the proposed system to \u0000multi-carrier structure for the CSK system with different Spreading Factors (SF) values outperforms on a CSK system \u0000in height the data transmission rate.","PeriodicalId":115908,"journal":{"name":"Journal of Kufa for Mathematics and Computer","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123483042","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

Controlling Digital Systems via Intelligent Networks 通过智能网络控制数字系统

Journal of Kufa for Mathematics and Computer Pub Date : 2021-03-30 DOI: 10.31642/jokmc/2018/080105

Ghadeer I. Maki, Zahir M. Hussain

引用次数: 0

Spline Technique for Second Type of Fredholm Integral Equations 第二类Fredholm积分方程的样条技术

Journal of Kufa for Mathematics and Computer Pub Date : 2020-09-19 DOI: 10.31642/jokmc/2018/070105

A. Jaber, Adil Alrammahi

引用次数: 1

Classification of Non-invasive recording of Electroencephalography Brain Signals using Hoeffding tree 基于Hoeffding树的无创脑电图脑信号记录分类

Journal of Kufa for Mathematics and Computer Pub Date : 2020-09-19 DOI: 10.31642/jokmc/2018/070103

Zainab Obais, T. Hasan

{"title":"Classification of Non-invasive recording of Electroencephalography Brain Signals using Hoeffding tree","authors":"Zainab Obais, T. Hasan","doi":"10.31642/jokmc/2018/070103","DOIUrl":"https://doi.org/10.31642/jokmc/2018/070103","url":null,"abstract":"there is a considerable advancement in research that concern brain-computer interfaces (BCI). BCI can be defined as a communication system that is developed for allowing individuals experiencing complete paralysis sending commands or messages with no need to send them via normal output pathways of brain. EEG recording are Affected by cardiac noise, blinks, eye movement, in addition to non-biological sources (such as power-line noise).There will be an obstacle if the subject generates an artifact since will violate the specification of BCI as a non-muscular communication channel and the ability of subjects suffering degenerative diseases could be lost and This artifacts(noise) leads to incorrect classification accuracy .The presented study has the aim of being a sufficient reference in BCI system and also emphasize algorithms which are capable of separating and removing the noise that interferes with the task-related Electroencephalography (EEG) signal for the best features . The task is the motions of the index finger of right or left .The separation process based BSS technique ,This separating would be having an effective speeding impact on classifying patterns of EEG. and classified using classifier ( Hoeffding Tree). The proposed algorithm is tested and trained with the use of real recorded signals of EEG . Experiments reveal that the proposed classifier with the stone algorithm leads to high classification results up to the classification accuracy 79%.","PeriodicalId":115908,"journal":{"name":"Journal of Kufa for Mathematics and Computer","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132293569","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

Digital Modulation Classification Based On BAT Swarm Optimization and Random Forest 基于BAT群优化和随机森林的数字调制分类

Journal of Kufa for Mathematics and Computer Pub Date : 2020-09-19 DOI: 10.31642/jokmc/2018/070104

Batool Sultan, Taha Hasan

{"title":"Digital Modulation Classification Based On BAT Swarm Optimization and Random Forest","authors":"Batool Sultan, Taha Hasan","doi":"10.31642/jokmc/2018/070104","DOIUrl":"https://doi.org/10.31642/jokmc/2018/070104","url":null,"abstract":"The applications of digitally modulated signals are still in progress and expansion. Automatic Modulation Identification (AMI) is important to classify the digitally modulated signals ..To get better results of the system suggested optimization the features to discard weak or irrelevant features in the system and keep only strong relevant features .In this work, present hybrid intelligent system for the recognition related to the digitally modulated signals where used . The proposed (AMI) had been built to classify ten most popular schemes of digitally modulated signals, namely (2ASK, , 2PSK, 4PSK, 8PSK, 8QAM,16QAM ,32QAM, 64 QAM, 128QAM, and 256QAM), with the signal to noise ratio ranging from (-2 to 13) dB. High-order cumulants (HOCs) as well as high-order moments (HOMs) were utilized. .In this thesis used , Bat Swarm Optimization (BA).The Random Forest ( RF) classifier was introduced for the first time in this work. Simulation results of the System proposed , under additive white Gaussian noise channel, show that .While algorithm ( BA Swarm Optimization ) for the modulated signals we obtained a classification accuracy of around 92% for the SNR between (-2....12 ) dB.","PeriodicalId":115908,"journal":{"name":"Journal of Kufa for Mathematics and Computer","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124121110","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

A scalable and secure attribute-based access control method in Internet of Things with efficient revocation 一种可扩展、安全、高效撤销的物联网属性访问控制方法

Journal of Kufa for Mathematics and Computer Pub Date : 2020-09-19 DOI: 10.31642/jokmc/2018/070102

Safaa Al sherify, S. Seno

{"title":"A scalable and secure attribute-based access control method in Internet of Things with efficient revocation","authors":"Safaa Al sherify, S. Seno","doi":"10.31642/jokmc/2018/070102","DOIUrl":"https://doi.org/10.31642/jokmc/2018/070102","url":null,"abstract":"The Internet of Things (IoT) is an emerging network paradigm that understands the Because IoT is connections between all things and is the foundation of the intelligent community. The pervasive, always about everyday life or daily work of the user, privacy and security are important. \u0000In other complex and heterogeneous properties of the IoT make its security issues very challenging. words, how to achieve data, while data privacy is a challenging task. In addition, resource constraints In spite of the attribute based of node creates a lightweight requirement for IoT security mechanisms. encryption like (CP-ABE), can provide access control to data by allowing specific users who their This paper provides a method of a attributes in accordance with the policy of access to decoded text. scalable and secure access control based on attribute with effective revocation based on allow users to access and as well as the possibility of expiring some users' access. Security and efficiency evaluations show that the proposed scheme can achieve the desired security goals, while keeping comparable \u0000computation overhead.","PeriodicalId":115908,"journal":{"name":"Journal of Kufa for Mathematics and Computer","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131104362","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