Jordanian Journal of Computers and Information Technology最新文献

筛选
英文 中文
A Deep Decision Forests Model for Hate Speech Detection 仇恨语音检测的深度决策森林模型
IF 1.2
Jordanian Journal of Computers and Information Technology Pub Date : 2023-01-01 DOI: 10.5455/jjcit.71-1667394363
M. Ndenga
{"title":"A Deep Decision Forests Model for Hate Speech Detection","authors":"M. Ndenga","doi":"10.5455/jjcit.71-1667394363","DOIUrl":"https://doi.org/10.5455/jjcit.71-1667394363","url":null,"abstract":"Detecting and controlling propagation of hate-speech over social media platforms is a challenge. This problem is exacerbated by extreme fast flow, readily available audience, and relative permanence of information on social media. The objective of this research is to propose a model that could be used to detect political hate speech that is propagated through social media platforms in Kenya. Using Twitter textual data and Keras TensorFlow Decision Forests (TF-DF), three models were developed i.e., Gradient Boosted Trees with Universal Sentence Embeddings(USE), Gradient Boosted Trees, and Random Forest respectively. The Gradient Boosted Trees with USE model exhibited a superior performance with an accuracy of 98.86%, recall of 0.9587, precision of 0.9831, and AUC of 0.9984. Therefore, this model can be utilized for detecting hate speech on social media platforms.","PeriodicalId":36757,"journal":{"name":"Jordanian Journal of Computers and Information Technology","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70821355","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
AUTOMATIC DETECTION OF PNEUMONIA USING CONCATENATED CONVOLUTIONAL NEURAL NETWORK 基于串联卷积神经网络的肺炎自动检测
IF 1.2
Jordanian Journal of Computers and Information Technology Pub Date : 2023-01-01 DOI: 10.5455/jjcit.71-1670862654
Ahmad Taani, Ishraq Dagamseh
{"title":"AUTOMATIC DETECTION OF PNEUMONIA USING CONCATENATED CONVOLUTIONAL NEURAL NETWORK","authors":"Ahmad Taani, Ishraq Dagamseh","doi":"10.5455/jjcit.71-1670862654","DOIUrl":"https://doi.org/10.5455/jjcit.71-1670862654","url":null,"abstract":"Pneumonia is a life-threatening disease and early detection can save lives, many automated systems have contributed to the detection of this disease and currently deep learning models have become one of the most widely used models for building these systems. In this study, two deep learning models are combined: DenseNet169 and pre-activation ResNet models, and used for automatic detection of pneumonia. DenseNet169 model is an extension of the ResNet model, while the second is a modified version the ResNet model, these models achieved good results in the field of medical imaging. Two methods are used to deal with the problem of unbalanced data: class weight, which enables to control the percentage of data to be used from the original data for each class of data, while the other method is resampling, in which modified images are produced with an equal distribution using data augmentation. The performance of the proposed model is evaluated using a balanced dataset consists of 5856 images. Achieved results were promising compared to several previous studies. The model achieved a precision value of 98%, an area under curve (AUC) based on ROC of 97%, and a loss value of 0.23.","PeriodicalId":36757,"journal":{"name":"Jordanian Journal of Computers and Information Technology","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70820989","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
OPTIMAL ENERGY CONSUMPTION AND COST PERFORMANCE SOLUTION WITH DELAY CONSTRAINTS ON FOG COMPUTING 具有延迟约束的雾计算最优能耗与性价比解决方案
IF 1.2
Jordanian Journal of Computers and Information Technology Pub Date : 2023-01-01 DOI: 10.5455/jjcit.71-1667637331
Zahra Mahmoudi, Elham Darbanian, M. Nickray
{"title":"OPTIMAL ENERGY CONSUMPTION AND COST PERFORMANCE SOLUTION WITH DELAY CONSTRAINTS ON FOG COMPUTING","authors":"Zahra Mahmoudi, Elham Darbanian, M. Nickray","doi":"10.5455/jjcit.71-1667637331","DOIUrl":"https://doi.org/10.5455/jjcit.71-1667637331","url":null,"abstract":"Cloud computing plays an essential role in development of the Internet of Things, which provides data processing and storage services. Fog computing is the evolution of cloud computing, which helps provide solutions to cloud computing challenges such as latency, location awareness, and real-time mobility support. Fog computing fills the gap between the cloud and IoT devices within the close vicinity of IoT devices. So, computation, networking, storage, data management, and decision making occur along the path between the cloud and IoT devices. The automatic and intelligent management of fog node resources and achieving an effective scheduling policy in the computing model is a necessary requirement and will lead to the improvement of the overall performance of fog computing. Some optimization problems are modeled by mixed-integer nonlinear programming (MINLP). In this paper, a model, i.e. an MINLP optimization problem on fog computing, is designed. Our model has two goals: to increase Cost Performance as well as to reduce energy consumption. Cost Performance is the price, users are charged as benefit/revenue. In other words Cost Performance is defined as the ratio of the average data rate of each user to its cost. Then the exact mathematical method with the GAMS program was used to prove its logical process. In the next step, we solved the model with Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Simulated Annealing+GA (SA+GA), Teaching–Learning-Based Optimization (TLBO), Grey Wolf Optimizer (GWO), Grasshopper Optimization Algorithm (GOA), and random method. According to the TOPSIS comparison, the SA+GA method with a value of 0.23 is the best compared to other methods. Then GWO, GA, TLBO, PSO, and GOA methods are better, respectively.","PeriodicalId":36757,"journal":{"name":"Jordanian Journal of Computers and Information Technology","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70820913","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
Forensic Analysis of Drone Collision with Transfer Learning 基于迁移学习的无人机碰撞取证分析
IF 1.2
Jordanian Journal of Computers and Information Technology Pub Date : 2023-01-01 DOI: 10.5455/jjcit.71-1673581703
A. Editya, T. Ahmad, H. Studiawan
{"title":"Forensic Analysis of Drone Collision with Transfer Learning","authors":"A. Editya, T. Ahmad, H. Studiawan","doi":"10.5455/jjcit.71-1673581703","DOIUrl":"https://doi.org/10.5455/jjcit.71-1673581703","url":null,"abstract":"Drones are one of devices that are used in many different activities. There is a time when drones have accidents, and authorities need to find the cause. Drone forensics is used to determine the cause of an accident. The analysis phase of drone forensics is one of the most important steps in determining accident causes. In this paper, we applied deep learning technique to classify drone collisions. We investigate the use of the InceptionV3 as the deep learning framework. Additionally, this study compares the performance of the proposed method with other techniques, such as MobileNet, VGG, and ResNet, in classifying drone collisions. In this experiment, we also implement transfer learning as well as its fine tuning to speed up the training process and to improve the accuracy value. Additionally, our investigation shows that InceptionV3 outperforms others in terms of accuracy, precision, and F1 scores.","PeriodicalId":36757,"journal":{"name":"Jordanian Journal of Computers and Information Technology","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70821169","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
CAN THE COMBINATION OF FACIAL FEATURES ENHANCE THE PERFORMANCE OF FACE RECOGNITION? 人脸特征的组合能否增强人脸识别的性能?
Jordanian Journal of Computers and Information Technology Pub Date : 2023-01-01 DOI: 10.5455/jjcit.71-1689717889
Lakhdar Laimeche, Issam Djellab, Mohamed Redjimi
{"title":"CAN THE COMBINATION OF FACIAL FEATURES ENHANCE THE PERFORMANCE OF FACE RECOGNITION?","authors":"Lakhdar Laimeche, Issam Djellab, Mohamed Redjimi","doi":"10.5455/jjcit.71-1689717889","DOIUrl":"https://doi.org/10.5455/jjcit.71-1689717889","url":null,"abstract":"The field of computer vision and pattern recognition has shown great interest in facial recognition due to its wide range of applications. These applications span across historical and genealogical research, forensic science, searching for missing family members, analyzing social media, automatically managing and annotating image databases, and identifying kinship relationships. This research paper aims to address the challenges associated with facial recognition by introducing two innovative approaches: Fusion-based Classifier Combination (FCC) and Sequential CNN Deep learning-based face recognition (S-CNN). In the first part of the study, we assess the effectiveness of three techniques: Local Binary Patterns (LBP), Histogram of Oriented Gradients (HOG), and a hand-crafted learned technique called Compact Binary Facial Descriptors (CBFD). To overcome these challenges, we employ a classification step that utilizes a novel multi-classifier combination model. In the second part, we propose a novel method where we extract high-level features from multiple image regions treated as sequential data using ensemble of Convolutional Neural Networks (CNNs). These features are then fed into a Deep Neural Network (DNN) for facial recognition. The experimental results obtained from well-known face databases, including Labeled Faces in the Wild (LFW) and ORL, highlight the competitive performance of both the proposed multi-classifier combination model and the S-CNN deep learning model when compared to state-of-the-art methods .","PeriodicalId":36757,"journal":{"name":"Jordanian Journal of Computers and Information Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135502111","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
DESIGN OF A COMPACT BROADBAND ANTENNA USING CHARACTERISTIC MODE ANALYSIS FOR MICROWAVE APPLICATIONS 基于特征模态分析的小型微波宽带天线设计
IF 1.2
Jordanian Journal of Computers and Information Technology Pub Date : 2023-01-01 DOI: 10.5455/jjcit.71-1672251891
Ahmad Rimi, A. Zugari, A. Mchbal, M. Ouahabi, M. Khalladi
{"title":"DESIGN OF A COMPACT BROADBAND ANTENNA USING \u0000CHARACTERISTIC MODE ANALYSIS FOR MICROWAVE \u0000APPLICATIONS","authors":"Ahmad Rimi, A. Zugari, A. Mchbal, M. Ouahabi, M. Khalladi","doi":"10.5455/jjcit.71-1672251891","DOIUrl":"https://doi.org/10.5455/jjcit.71-1672251891","url":null,"abstract":"A compact broadband antenna of dimensions 27 mm x 28 mm x 1.6 mm and with good impedance matching is designed for high-bandwidth radio systems with a short range. To improve the impedance matching, two rectangular slots are created on the radiating element, and the ground plane size is reduced to extend the ultra-wideband frequency band. The antenna bandwidth and radiation performance are analysed using characteristic mode theory (TCM). The performance is compared to the desired specifications, and the shape and size are modified to produce efficient radiation and dominant radiation patterns. The findings clearly demonstrate that the six modes are resonant with (λn = 0). This implies that the eigenvalues of the six modes contribute strongly to dominant electromagnetic radiation and have high modal significance values around 1 at their respective frequencies. Furthermore, the characteristic angle indicates that the antenna resonates at 180°, since the six modes intersect the axis line at 180° at their respective frequencies. Experimental results show a bandwidth of 109.7% between 5.64 and 19.34 GHz, a maximum gain of 6.3 dB, and a maximum efficiency of approximately 86.5%. These results make this antenna a versatile and effective choice for a wide variety of communications and electronics applications and easy to install in narrow spaces due to its easy design characteristics, small size, and light weight.","PeriodicalId":36757,"journal":{"name":"Jordanian Journal of Computers and Information Technology","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70821045","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
LOW-COST C-BAND SIW BANDPASS FILTER USING FR4-EPOXY SUBSTRATE 采用fr4 -环氧基板的低成本c波段siw带通滤波器
IF 1.2
Jordanian Journal of Computers and Information Technology Pub Date : 2023-01-01 DOI: 10.5455/jjcit.71-1674653544
Ahcène Abed, A. Bouchekhlal, A. Amrouche, R. Bendoumia
{"title":"LOW-COST C-BAND SIW BANDPASS FILTER USING FR4-EPOXY SUBSTRATE","authors":"Ahcène Abed, A. Bouchekhlal, A. Amrouche, R. Bendoumia","doi":"10.5455/jjcit.71-1674653544","DOIUrl":"https://doi.org/10.5455/jjcit.71-1674653544","url":null,"abstract":"This paper describes a substrate integrated waveguide (SIW) filter built on an Fr4-Epoxy substrate with a dielectric constant 4.4 and a height of h=1.6mm. SIW-based devices have piqued the interest of researchers in recent years due to their low loss, small size, and low cost. The goal is to simulate and realize a SIW filter for C-band applications. The designed filter is analyzed using the reflection coefficient S11 and electric field distributions. We used the HFSS simulator. According to the findings, there is a high degree of agreement between the simulated and realized filters. The results also show that the filter has a very good response. It also shows a bandwidth of 6.3GHz around the C-band frequencies. This filter's pass-band ranges from 5.39 to 6.83GHz, with an insertion loss of 4.2dB and a return loss of 45.49dB.","PeriodicalId":36757,"journal":{"name":"Jordanian Journal of Computers and Information Technology","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70821471","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
CONTAINER-BASED VIRTUALIZATION FOR BLOCKCHAIN TECHNOLOGY: A SURVEY 区块链技术的基于容器的虚拟化:调查
IF 1.2
Jordanian Journal of Computers and Information Technology Pub Date : 2023-01-01 DOI: 10.5455/jjcit.71-1682778947
N.A.H. Sultan, Rawaa Qasha
{"title":"CONTAINER-BASED VIRTUALIZATION FOR BLOCKCHAIN TECHNOLOGY: A SURVEY","authors":"N.A.H. Sultan, Rawaa Qasha","doi":"10.5455/jjcit.71-1682778947","DOIUrl":"https://doi.org/10.5455/jjcit.71-1682778947","url":null,"abstract":"Blockchain technology has garnered interest in several scientific and engineering fields. To improve blockchain services, its execution challenges must be addressed. Container-based virtualization enables running isolated apps on a shared OS where blockchain technology can leverage this technology to run numerous nodes, smart contracts, and decentralized apps in distinct containers allowing resource isolation and allocation, faster deployment and scalability, and improved security through limited host OS and other container access. This article covers container-based virtualization for Blockchain technology, including current methodologies, prospects, and future perspectives. Initially, this study explains blockchain and containerization as well as the reason for their integration. Then reviews container virtualization services to address blockchain complexity, size, scalability, and security. Conversely, Container technology uses blockchain to protect data and enhance resource management. Next, analyzes the latest containerization and blockchain integration studies. Finally, difficulties and future directions are considered to advance this promising research.","PeriodicalId":36757,"journal":{"name":"Jordanian Journal of Computers and Information Technology","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70821689","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
MEDIA STIMULI OF EMOTION RECOGNITION: A STATE-OF-THE-ART REVIEW OF CURRENT TRENDS AND TECHNOLOGY 情绪识别的媒体刺激:当前趋势和技术的最新回顾
Jordanian Journal of Computers and Information Technology Pub Date : 2023-01-01 DOI: 10.5455/jjcit.71-1689174557
Hariyady Hariyady, Ag Ibrahim, Jason Teo, Ng Weng, Azhana Ahmad, Fouziah Yassin, Carolyn Salimun
{"title":"MEDIA STIMULI OF EMOTION RECOGNITION: A STATE-OF-THE-ART REVIEW OF CURRENT TRENDS AND TECHNOLOGY","authors":"Hariyady Hariyady, Ag Ibrahim, Jason Teo, Ng Weng, Azhana Ahmad, Fouziah Yassin, Carolyn Salimun","doi":"10.5455/jjcit.71-1689174557","DOIUrl":"https://doi.org/10.5455/jjcit.71-1689174557","url":null,"abstract":"Emotion identification has received a lot of interest in recent years, with applications in mental health, education, and marketing. This systematic literature review aimed to provide an up-to-date overview of trends and technological advancements in the use of media stimuli for emotion recognition. A comprehensive search yielded 720 relevant studies from 2018 to 2023, which employed various media stimuli to induce and measure emotional responses. The main findings indicate that audios and videos are the most used media stimuli for emotion recognition. However, there is a growing trend toward exploring other forms of media, such as physiological signals and wearables. This review highlights the varying ecological validity of different stimulus types and emphasizes the potential of virtual reality for more objective emotion recognition. These findings offer valuable insights for future research and practical applications in the field by synthesizing knowledge to inform advancements in media stimuli for emotion recognition.","PeriodicalId":36757,"journal":{"name":"Jordanian Journal of Computers and Information Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135561618","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
Design of Microstrip Dual-Band Bandpass Filter for Sub-6 GHz 5G Mobile Communications. Sub-6 GHz 5G移动通信微带双带带通滤波器设计。
Jordanian Journal of Computers and Information Technology Pub Date : 2023-01-01 DOI: 10.5455/jjcit.71-1688749546
Rachida Boufouss, Abdellah Najid
{"title":"Design of Microstrip Dual-Band Bandpass Filter for Sub-6 GHz 5G Mobile Communications.","authors":"Rachida Boufouss, Abdellah Najid","doi":"10.5455/jjcit.71-1688749546","DOIUrl":"https://doi.org/10.5455/jjcit.71-1688749546","url":null,"abstract":"In this paper, a microstrip bandpass filter for dual-band sub-6 GHz 5G mobile communications is designed. The two first resonance frequencies of the stepped-impedance resonator are used as the operating frequencies of the two passbands. Furthermore, the stepped-impedance resonator is folded to form open-loop stepped-impedance resonator for compactness. This form of the resonator generates a second transmission zero in the upper stopband which improve the out of-band rejection. A 50 Ω tapped-line input/output is used to feed the filter. The proposed structure is designed, analyzed and manufactured and their measured results are found to be in good agreement with the simulation results. From the measured results, it is found that the proposed filter achieved return loss of 21 dB and 28.3 dB, insertion loss of 0.4 dB and 1.7 dB and bandwidth of 12.5 % and 10.81% at 3.61 GHz and 5.55 GHz, respectively. In addition, the proposed filter has a compact size which make it suitable for sub-6 GHz 5G mobile communications.","PeriodicalId":36757,"journal":{"name":"Jordanian Journal of Computers and Information Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135839866","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
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
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:481959085
Book学术官方微信