Journal of ICT Research and Applications最新文献_第2页

CNN Based Covid-19 Detection from Image Processing 基于CNN的图像处理新冠肺炎检测

IF 0.6

Journal of ICT Research and Applications Pub Date : 2023-04-11 DOI: 10.5614/itbj.ict.res.appl.2023.17.1.7

M. Rahman, Mohammad Rabiul Islam, Md. Anzir Hossain Rafath, Simron Mhejabin

引用次数: 1

Emergency Data Transmission Mechanism in VANETs using Improved Restricted Greedy Forwarding (IRGF) Scheme 基于改进限制贪婪转发(IRGF)方案的vanet应急数据传输机制

IF 0.6

Journal of ICT Research and Applications Pub Date : 2023-04-11 DOI: 10.5614/itbj.ict.res.appl.2023.17.1.3

K. Lakshmi, M. Soranamageswari

{"title":"Emergency Data Transmission Mechanism in VANETs using Improved Restricted Greedy Forwarding (IRGF) Scheme","authors":"K. Lakshmi, M. Soranamageswari","doi":"10.5614/itbj.ict.res.appl.2023.17.1.3","DOIUrl":"https://doi.org/10.5614/itbj.ict.res.appl.2023.17.1.3","url":null,"abstract":"One of the most critical tasks in Vehicular Ad-hoc Networks (VANETs) is broadcasting Emergency Messages (EMs) at considerable data delivery rates (DDRs). The enhanced spider-web-like Transmission Mechanism for Emergency Data (TMED) is based on request spiders and authenticated spiders to create the shortest route path between the source vehicle and target vehicles. However, the adjacent allocation is based on the DDR only and it is not clear whether each adjacent vehicle is honest or not. Hence, in this article, the Improved Restricted Greedy Forwarding (IRGF) scheme is proposed for adjacent allocation with the help of trust computation in TMED. The trust and reputation score value of each adjacent vehicle is estimated based on successfully broadcast emergency data. The vehicles’ position, velocity, direction, density, and the reputation score, are fed to a fuzzy logic (FL) scheme, which selects the most trusted adjacent node as the forwarding node for broadcasting the EM to the destination vehicles. Finally, the simulation results illustrate the TMED-IRGF model’s efficiency compared to state-of-the-art models in terms of different network metrics.","PeriodicalId":42785,"journal":{"name":"Journal of ICT Research and Applications","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46932243","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

Anomaly Detection for Human Home Activities Using Pattern Based Sequence Classification 基于模式序列分类的人类家居活动异常检测

IF 0.6

Journal of ICT Research and Applications Pub Date : 2023-04-11 DOI: 10.5614/itbj.ict.res.appl.2023.17.1.4

Rawan ELhadad, Yi-Fei Tan

{"title":"Anomaly Detection for Human Home Activities Using Pattern Based Sequence Classification","authors":"Rawan ELhadad, Yi-Fei Tan","doi":"10.5614/itbj.ict.res.appl.2023.17.1.4","DOIUrl":"https://doi.org/10.5614/itbj.ict.res.appl.2023.17.1.4","url":null,"abstract":"In most countries, the old-age people population continues to rise. Because young adults are busy with their work engagements, they have to let the elderly stay at home alone. This is quite dangerous, as accidents at home may happen anytime without anyone knowing. Although sending elderly relatives to an elderly care center or hiring a caregiver are good solutions, they may not be feasible since it may be too expensive over a long-term period. The behavior patterns of elderly people during daily activities can give hints about their health condition. If an abnormal behavior pattern can be detected in advance, then precautions can be taken at an early stage. Previous studies have suggested machine learning techniques for such anomaly detection but most of the techniques are complicated. In this paper, a simple model for detecting anomaly patterns in human activity sequences using Random forest (RF) and K-nearest neighbor (KNN) classifiers is presented. The model was implemented on a public dataset and it showed that the RF classifier performed better, with an accuracy of 85%, compared to the KNN classifier, which achieved 73%.","PeriodicalId":42785,"journal":{"name":"Journal of ICT Research and Applications","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45692456","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

The Potential of a Low-Cost Thermal Camera for Early Detection of Temperature Changes in Virus-Infected Chili Plants 低成本热像仪早期检测病毒感染辣椒植株温度变化的潜力

IF 0.6

Journal of ICT Research and Applications Pub Date : 2023-04-11 DOI: 10.5614/itbj.ict.res.appl.2023.17.1.2

Asmar Hasan, Widodo Widodo, K. Mutaqin, Muhammad Taufik, Sri Hendrastuti Hidayat

{"title":"The Potential of a Low-Cost Thermal Camera for Early Detection of Temperature Changes in Virus-Infected Chili Plants","authors":"Asmar Hasan, Widodo Widodo, K. Mutaqin, Muhammad Taufik, Sri Hendrastuti Hidayat","doi":"10.5614/itbj.ict.res.appl.2023.17.1.2","DOIUrl":"https://doi.org/10.5614/itbj.ict.res.appl.2023.17.1.2","url":null,"abstract":"One effect of viral infection on plant physiology is increased stomata closure so that the transpiration rate is low, which in turn causes an increase in leaf temperature. Changes in plant leaf temperature can be measured by thermography using high-resolution thermal cameras. The results can be used as an indicator of virus infection, even before the appearance of visible symptoms. However, the higher the sensor resolution of the thermal camera, the more expensive it is, which is an obstacle in developing the method more widely. This article describes the potential of thermography in detecting Tobacco mosaic virus infection in chili-pepper plants using a low-cost camera. A FLIR C2 camera was used to record images of plants in two treatment groups, non-inoculated (V0) and virus-inoculated plants (V1). Significantly, V1 had a lower temperature at 8 and 12 days after inoculation (dai) than those of V0, but their temperature was higher than V0 before symptoms were visible, i.e., at 17 dai. Thermography using low-cost thermal cameras has potency to detect early viral infection at 8 dai with accuracy levels (AUC) of 80.0% and 86.5% based on k-Nearest Neighbors and Naïve Bayes classifiers, respectively.","PeriodicalId":42785,"journal":{"name":"Journal of ICT Research and Applications","volume":"1 1","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70736809","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

Sentiment Classification for Film Reviews in Gujarati Text Using Machine Learning and Sentiment Lexicons 基于机器学习和情感词汇的古吉拉特语电影评论情感分类

IF 0.6

Journal of ICT Research and Applications Pub Date : 2023-04-11 DOI: 10.5614/itbj.ict.res.appl.2023.17.1.1

引用次数: 0

Early Detection of Stroke for Ensuring Health and Well-Being Based on Categorical Gradient Boosting Machine 基于分类梯度增强机的脑卒中早期检测与健康保障

IF 0.6

Journal of ICT Research and Applications Pub Date : 2023-01-10 DOI: 10.5614/itbj.ict.res.appl.2022.16.3.8

Isaac Kofi Nti, O. Nyarko-Boateng, J. Aning, G. Fosu, Henrietta Adjei Pokuaa, F. Kyeremeh

{"title":"Early Detection of Stroke for Ensuring Health and Well-Being Based on Categorical Gradient Boosting Machine","authors":"Isaac Kofi Nti, O. Nyarko-Boateng, J. Aning, G. Fosu, Henrietta Adjei Pokuaa, F. Kyeremeh","doi":"10.5614/itbj.ict.res.appl.2022.16.3.8","DOIUrl":"https://doi.org/10.5614/itbj.ict.res.appl.2022.16.3.8","url":null,"abstract":"Stroke is believed to be among the leading causes of adult disability worldwide. It is wreaking havoc on African people, families, and governments, with ramifications for the continent’s socio-economic development. On the other hand, stroke research output is insufficient, resulting in a dearth of evidence-based and context-driven guidelines and strategies to combat the region’s expanding stroke burden. Indeed, for African and other developing economies to meet the UN Sustainable Development Goals (SDGs), particularly SDG 3, which aims to guarantee healthy lifestyles and promote well-being for people of all ages, the issue of stroke must be addressed to reduce early death from non-communicable illnesses. This study sought to create a robust predictive model for early stroke diagnosis using an understandable machine learning (ML) technique. We implemented a categorical gradient boosting machine model for early stroke prediction to protect patients’ health and well-being. We compared the effectiveness of our proposed model to existing state-of-the-art machine learning models and previous studies by empirically testing it on a real-world public stroke dataset. The proposed model outperformed the others when compared to the other methods using the research data, achieving the maximum accuracy (96.56%), the area under the curve (AUC) (99.73%), F1-measure (96.68%), recall (99.24%), and precision (93.57%). Functional outcome prediction models based on machine learning for stroke were verified and shown to be adaptable and helpful.","PeriodicalId":42785,"journal":{"name":"Journal of ICT Research and Applications","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44203231","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

Detection of Americans’ Behavior toward Islam on Facebook 在脸书上检测美国人对伊斯兰教的行为

IF 0.6

Journal of ICT Research and Applications Pub Date : 2023-01-10 DOI: 10.5614/itbj.ict.res.appl.2022.16.3.7

Qusai Q. Abuein, M. Shatnawi, Lujain Ghazalat

{"title":"Detection of Americans’ Behavior toward Islam on Facebook","authors":"Qusai Q. Abuein, M. Shatnawi, Lujain Ghazalat","doi":"10.5614/itbj.ict.res.appl.2022.16.3.7","DOIUrl":"https://doi.org/10.5614/itbj.ict.res.appl.2022.16.3.7","url":null,"abstract":"Social network websites have become a rich place for detecting and analyzing people’s attitudes, perceptions, and feelings towards news, products, and other real-world issues. Facebook is a popular platform among different age groups and countries and is generally used to convey ideas about certain topics based on likes, comments and sharing. In recent years, one of the most controversial topics were the idea behind Islamophobia and other ideas built in people’s minds about Islam around the world. This research studied the public opinion of American citizens about Islam during the presidency of Donald Trump, as that period was rich in diversity of opinion between his supporters and detractors. In this paper, sentiment analysis was used to analyze American citizens’ behavior towards posts about Islam during Trump’s presidency in various states across the United States. Sentiment analysis was performed on Facebook posts and comments extracted from American news channels from the year 2017. Several machine learning methods were used to detect the polarity in the dataset. The highest classification accuracy among the classifiers used in this research was achieved using a logistic regression classifier, reaching 84%.","PeriodicalId":42785,"journal":{"name":"Journal of ICT Research and Applications","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45409967","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

Cognitive Complexity Applied to Software Development: An Automated Procedure to Reduce the Comprehension Effort 认知复杂性应用于软件开发:减少理解工作的自动化过程

IF 0.6

Journal of ICT Research and Applications Pub Date : 2022-12-31 DOI: 10.5614/itbj.ict.res.appl.2022.16.3.6

D. Wijendra, K. Hewagamage

{"title":"Cognitive Complexity Applied to Software Development: An Automated Procedure to Reduce the Comprehension Effort","authors":"D. Wijendra, K. Hewagamage","doi":"10.5614/itbj.ict.res.appl.2022.16.3.6","DOIUrl":"https://doi.org/10.5614/itbj.ict.res.appl.2022.16.3.6","url":null,"abstract":"The cognitive complexity of a software application determines the amount of human effort required to comprehend its internal logic, which results in a subjective measurement. The quantification process of the cognitive complexity as a metric is problematic since the factors representing the computation do not represent the exact human cognition. Therefore, the determination of cognitive complexity requires expansion beyond its quantification. The human comprehension effort related with a software application is associated with each phase of its development process. Correct requirements identification and accurate logical diagram generation prior to code implementation can lead to proper logical identification of software applications. Moreover, human comprehension is essential for software maintenance. Defect identification, correction and handling of code quality issues cannot be maintained without good comprehension. Therefore, cognitive complexity can be effectively applied to demonstrate human understandability inside the respective phases of requirements analysis, design, defect tracking, and code quality optimization. This study involved automation of the above-mentioned phases to reduce the manual human cognitive load and reduce cognitive complexity. It was found that the proposed system could enhance the average accuracy of requirements analysis and class diagram generation by 14.44% and 9.89% average accuracy incrementation through defect tracking and code quality issues compared to manual procedures.","PeriodicalId":42785,"journal":{"name":"Journal of ICT Research and Applications","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44315296","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 Low Computational Cost RGB Color Image Encryption Scheme Process based on PWLCM Confusion, Z/nZ Diffusion and ECBC Avalanche Effect 基于PWLCM混淆、Z/nZ扩散和ECBC雪崩效应的低计算成本RGB彩色图像加密方案

IF 0.6

Journal of ICT Research and Applications Pub Date : 2022-12-31 DOI: 10.5614/itbj.ict.res.appl.2022.16.3.4

Faiq Gmira, W. Sabbar, Said Hraoui

引用次数: 0

Translating SIBI (Sign System for Indonesian Gesture) Gesture-to-Text in Real-Time using a Mobile Device 用移动设备实时翻译SIBI(印尼手势符号系统)手势到文字

IF 0.6

Journal of ICT Research and Applications Pub Date : 2022-12-31 DOI: 10.5614/itbj.ict.res.appl.2022.16.3.5

M. Jonathan, Erdefi Rakun

引用次数: 0