International Journal of Informatics and Communication Technology (IJ-ICT)最新文献

Factors affecting customers intention towards online pharmacies in Indonesian market 影响印尼市场顾客对网上药店消费意向的因素

International Journal of Informatics and Communication Technology (IJ-ICT) Pub Date : 2024-04-04 DOI: 10.11591/ijict.v13i1.pp91-100

Ferawaty Ferawaty, Wakky Antonio, Adilla Anggraeni

引用次数: 0

Predicting anomalies in computer networks using autoencoder-based representation learning 利用基于自动编码器的表征学习预测计算机网络中的异常情况

International Journal of Informatics and Communication Technology (IJ-ICT) Pub Date : 2024-04-04 DOI: 10.11591/ijict.v13i1.pp9-26

Shehram Sikander Khan, A. Mailewa

{"title":"Predicting anomalies in computer networks using autoencoder-based representation learning","authors":"Shehram Sikander Khan, A. Mailewa","doi":"10.11591/ijict.v13i1.pp9-26","DOIUrl":"https://doi.org/10.11591/ijict.v13i1.pp9-26","url":null,"abstract":"Recent improvements in the internet of things (IoT), cloud services, and network data variety have increased the demand for complex anomaly detection algorithms in network intrusion detection systems (IDSs) capable of dealing with sophisticated network threats. Academics are interested in deep and machine learning (ML) breakthroughs because they have the potential to address complex challenges such as zero-day attacks. In comparison to firewalls, IDS are the initial line of network security. This study suggests merging supervised and unsupervised learning in identification systems IDS. Support vector machine (SVM) is an anomaly-based classification classifier. Deep autoencoder (DAE) lowers dimensionality. DAE are compared to principal component analysis (PCA) in this study, and hyper-parameters for F-1 micro score and balanced accuracy are specified. We have an uneven set of data classes. precision-recall curves, average precision (AP) score, train-test times, t-SNE, grid search, and L1/L2 regularization methods are used. KDDTrain+ and KDDTest+ datasets will be used in our model. For classification and performance, the DAE+SVM neural network technique is successful. Autoencoders outperformed linear PCA in terms of capturing valuable input attributes using t-SNE to embed high dimensional inputs on a two-dimensional plane. Our neural system outperforms solo SVM and PCA encoded SVM in multi-class scenarios.","PeriodicalId":245958,"journal":{"name":"International Journal of Informatics and Communication Technology (IJ-ICT)","volume":"21 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140742004","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

Traffic accident classification using IndoBERT 使用 IndoBERT 进行交通事故分类

International Journal of Informatics and Communication Technology (IJ-ICT) Pub Date : 2024-04-04 DOI: 10.11591/ijict.v13i1.pp42-49

Muhammad Alwan Naufal, A. S. Girsang

引用次数: 0

Review-based analysis of clustering approaches in a recommendation system 基于评论的推荐系统聚类方法分析

International Journal of Informatics and Communication Technology (IJ-ICT) Pub Date : 2024-04-04 DOI: 10.11591/ijict.v13i1.pp1-8

Sabeena Yasmin Hera, Mohammad Amjad

{"title":"Review-based analysis of clustering approaches in a recommendation system","authors":"Sabeena Yasmin Hera, Mohammad Amjad","doi":"10.11591/ijict.v13i1.pp1-8","DOIUrl":"https://doi.org/10.11591/ijict.v13i1.pp1-8","url":null,"abstract":"Because of the explosion in data, it is now incredibly difficult for a single person to filter through all of the information and extract what they need. As a result, information filtering algorithms are necessary to uncover meaningful information from the massive amount of data already available online. Users can benefit from recommendation systems (RSs) since they simplify the process of identifying relevant information. User ratings are incredibly significant for creating recommendations. Previously, academics relied on historical user ratings to predict future ratings, but today, consumers are paying more attention to user reviews because they contain so much relevant information about the user's decision. The proposed approach uses written testimonials to overcome the issue of doubt in the ratings' pasts. Using two data sets, we performed experimental evaluations of the proposed framework. For prediction, clustering algorithms are used with natural language processing in this strategy. It also evaluates the findings of various methods, such as the K-mean, spectral, and hierarchical clustering algorithms, and offers conclusions on which strategy is optimal for the supplied use cases. In addition, we demonstrate that the proposed technique outperforms alternatives that do not involve clustering.","PeriodicalId":245958,"journal":{"name":"International Journal of Informatics and Communication Technology (IJ-ICT)","volume":"26 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140741051","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

Hen maternal care inspired optimization framework for attack detection in wireless smart grid network 针对无线智能电网网络攻击检测的母婴护理启发优化框架

International Journal of Informatics and Communication Technology (IJ-ICT) Pub Date : 2024-04-04 DOI: 10.11591/ijict.v13i1.pp123-130

Narmadha Ganesamoorthy, B. Sakthivel, Deivasigamani Subbramania, K. Balasubadra

{"title":"Hen maternal care inspired optimization framework for attack detection in wireless smart grid network","authors":"Narmadha Ganesamoorthy, B. Sakthivel, Deivasigamani Subbramania, K. Balasubadra","doi":"10.11591/ijict.v13i1.pp123-130","DOIUrl":"https://doi.org/10.11591/ijict.v13i1.pp123-130","url":null,"abstract":"In the power grid, communication networks play an important role in exchanging smart grid-based information. In contrast to wired communication, wireless communication offers many benefits in terms of easy setup connections and low-cost high-speed links. Conversely, wireless communications are commonly more vulnerable to security threats than wired ones. All power equipment devices and appliances in the smart distribution grid (SDG) are communicated through wireless networks only. Most security research focuses on keeping the SDG network from different types of attacks. The denial-of-service (DoS) attack is consuming more energy in the network leads to a permanent breakdown of memory. This work proposes a new metaheuristic optimization inspired by maternal care of hen to their children called hen maternal care (HMCO) inspired optimization. The HMCO algorithm mimics the care shown by hen for their children in nature. The mother hen is always watchful and protects its chicks against predators. All chickens utilize different calls to designate flying predators like falcons and owls from ground seekers like foxes and coyotes, showing that they can both survey a danger and advise different chickens how to set themselves up. Our method shows greater performance among other standard algorithms.","PeriodicalId":245958,"journal":{"name":"International Journal of Informatics and Communication Technology (IJ-ICT)","volume":"13 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140744552","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 custom-built deep learning approach for text extraction from identity card images 从身份证图像中提取文本的定制深度学习方法

International Journal of Informatics and Communication Technology (IJ-ICT) Pub Date : 2024-04-04 DOI: 10.11591/ijict.v13i1.pp34-41

Geerish Suddul, Jean Fabrice Laurent Seguin

{"title":"A custom-built deep learning approach for text extraction from identity card images","authors":"Geerish Suddul, Jean Fabrice Laurent Seguin","doi":"10.11591/ijict.v13i1.pp34-41","DOIUrl":"https://doi.org/10.11591/ijict.v13i1.pp34-41","url":null,"abstract":"Information found on an identity card is needed for different essential tasks and manually extracting this information is time consuming, resource exhaustive and may be prone to human error. In this study, an optical character recognition (OCR) approach using deep learning techniques is proposed to automatically extract text related information from the image of an identity card in view of developing an automated client onboarding system. The OCR problem is divided into two main parts. Firstly, a custom-built image segmentation model, based on the U-net architecture, is used to detect the location of the text to be extracted. Secondly, using the location of the identified text fields, a (CRNN) based on long short-term memory (LSTM) cells is trained to recognise the characters and build words. Experimental results, based on the national identity card of the Republic of Mauritius, demonstrate that our approach achieves higher accuracy compared to other studies. Our text detection module has an intersection over union (IOU) measure of 0.70 with a pixel accuracy of 98% for text detection and the text recognition module achieved a mean word recognition accuracy of around 97% on main fields of the identity card.","PeriodicalId":245958,"journal":{"name":"International Journal of Informatics and Communication Technology (IJ-ICT)","volume":"40 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140743643","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

Remote practical instruction using web browsers 使用网络浏览器进行远程实践教学

International Journal of Informatics and Communication Technology (IJ-ICT) Pub Date : 2024-04-04 DOI: 10.11591/ijict.v13i1.pp57-66

Nagaki Kentarou, Fujita Satoshi

{"title":"Remote practical instruction using web browsers","authors":"Nagaki Kentarou, Fujita Satoshi","doi":"10.11591/ijict.v13i1.pp57-66","DOIUrl":"https://doi.org/10.11591/ijict.v13i1.pp57-66","url":null,"abstract":"This paper introduces a novel approach to remote coaching, specifically targeting the body movements of learners participating remotely. The proposed system employs a smartphone camera to capture the learner’s body and represent it as a 3D avatar. The instructor can then offer guidance and instruction by manipulating the 3D avatar’s shape, which is displayed on a web browser. The main challenge faced by the system is to enable the sharing and editing of 3D objects among users. Since the HTML5 drag-and-drop feature is inadequate for transforming virtual objects consisting of multiple interconnected rigid bodies, the system tracks the pivot point of the manipulated rigid body. It assigns attributes such as pivot points and action points to each object, extending beyond their 2D screen coordinates. To implement the system, an interactive web application framework following the model-view-view-model (MVVM) architecture is utilized, incorporating Vue.js, Three.js, and Google Firebase. The prototype system takes advantage of the data binding capability of the framework and successfully operates within the 3D space of a web browser. Experimental results demonstrate that it can effectively share transformation information with an average delay of 300 ms.","PeriodicalId":245958,"journal":{"name":"International Journal of Informatics and Communication Technology (IJ-ICT)","volume":"6 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140745225","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

Predicting rainfall runoff in Southern Nigeria using a fused hybrid deep learning ensemble 利用融合混合深度学习集合预测尼日利亚南部的降雨径流

International Journal of Informatics and Communication Technology (IJ-ICT) Pub Date : 2024-04-04 DOI: 10.11591/ijict.v13i1.pp108-115

A. Ojugo, P. Ejeh, C. Odiakaose, Andrew Okonji Eboka, F. Emordi

{"title":"Predicting rainfall runoff in Southern Nigeria using a fused hybrid deep learning ensemble","authors":"A. Ojugo, P. Ejeh, C. Odiakaose, Andrew Okonji Eboka, F. Emordi","doi":"10.11591/ijict.v13i1.pp108-115","DOIUrl":"https://doi.org/10.11591/ijict.v13i1.pp108-115","url":null,"abstract":"Rainfall as an environmental feat can change fast and yield significant influence in downstream hydrology known as runoff with a variety of implications such as erosion, water quality, and infrastructures. These, in turn impact the quality of life, sewage systems, agriculture, and tourism of a nation to mention a few. It chaotic, complex, and dynamic nature has necessitated studies in the quest for future direction of such runoff via prediction models. With little successes in use of knowledge driven models, many studies have now turned to data-driven models. Dataset is retrieved from Metrological Center in Lagos, Nigeria for the period 1999-2019 for the Benin-Owena River Basin. Data is split: 70% for train and 30% for test. Our study adapts a spatial-temporal profile hidden Markov trained deep neural network. Result yields a sensitivity of 0.9, specificity 0.19, accuracy of 0.74, and improvement rate of classification of 0.12. Other ensembles underperformed when compared to proposed model. The study reveals annual rainfall is an effect of variation cycle. Models will help simulate future floods and provide lead time warnings in flood management.","PeriodicalId":245958,"journal":{"name":"International Journal of Informatics and Communication Technology (IJ-ICT)","volume":"12 42","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140745544","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

Navigating the cyber forensics landscape a review of recent innovations 驾驭网络取证环境，回顾最新创新成果

International Journal of Informatics and Communication Technology (IJ-ICT) Pub Date : 2024-04-04 DOI: 10.11591/ijict.v13i1.pp27-33

Gyana Ranjana Panigrahi, N. Barpanda, Dr. Prabira Kumar Sethy

{"title":"Navigating the cyber forensics landscape a review of recent innovations","authors":"Gyana Ranjana Panigrahi, N. Barpanda, Dr. Prabira Kumar Sethy","doi":"10.11591/ijict.v13i1.pp27-33","DOIUrl":"https://doi.org/10.11591/ijict.v13i1.pp27-33","url":null,"abstract":"The extensive relevance of digital forensics in today's data-driven environment has been emphasized in this article. The free software and the commercial software community are debatable, despite users and developers often differing views on important topics like software safety and usability. This article primarily uses pre-defined criteria and a platform-oriented approach to examine promising freeware (Magnet Forensics and Sleuth Kit) vs. profitable (ProDiscover and Oxygen Forensic Suite) mobile forensics tools. Under diverse settings, the tools' capacity to develop and analyze forensically sound digital forensic media sources is validated. After erasing data, each media type was tested again after formatting. The study concludes with a comparison matrix that may aid in determining the best-fit option for the investigation's requirements among the tools. The findings indicate the potential for freeware to supplant numerous proprietary applications, as users can opt for freeware instead of incurring costs associated with proprietary software. Furthermore, this perception can be put into practice.","PeriodicalId":245958,"journal":{"name":"International Journal of Informatics and Communication Technology (IJ-ICT)","volume":"15 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140741507","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

Indonesian generative chatbot model for student services using GPT 印度尼西亚使用 GPT 生成学生服务聊天机器人模型

International Journal of Informatics and Communication Technology (IJ-ICT) Pub Date : 2024-04-04 DOI: 10.11591/ijict.v13i1.pp50-56

Shania Priccilia, A. S. Girsang

引用次数: 0