Journal of Advances in Information Technology最新文献

Applying an Image Technology to Estimates Values of Nitrite in Processed Meat Products 应用图像技术估算加工肉制品中亚硝酸盐的含量

Journal of Advances in Information Technology Pub Date : 2023-01-01 DOI: 10.12720/jait.14.5.1088-1095

Tippaya Thinsungnoen, Jessada Rattanasuporn, Manoch Thinsungnoen, Thanakorn Pluangklang, Vanida Choomuenwai, Chareonsak Lao-ngam, Panadda Phansamdaeng, Chutima Pluangklang, Maliwan Subsadsana

{"title":"Applying an Image Technology to Estimates Values of Nitrite in Processed Meat Products","authors":"Tippaya Thinsungnoen, Jessada Rattanasuporn, Manoch Thinsungnoen, Thanakorn Pluangklang, Vanida Choomuenwai, Chareonsak Lao-ngam, Panadda Phansamdaeng, Chutima Pluangklang, Maliwan Subsadsana","doi":"10.12720/jait.14.5.1088-1095","DOIUrl":"https://doi.org/10.12720/jait.14.5.1088-1095","url":null,"abstract":"—Potassium nitrite or saltpeter is used as a food additive and preservative. It confers a fresh and appetizing appearance to food when used in moderation. However, when used in excess, it may lead to cancer. In the present study, an image-processing mobile application was developed for quality control and ensure the hygiene of food products. The developed application is a user-friendly innovation that would raise the quality standards of processed foods, allowing for a competitive edge in the market. The main objectives of the present study were to identify the representatives of each class of suitable color tones and then develop a model-based application for estimating the content of nitrite in processed meat products. The study was conducted in six steps: (1) image layer separation of RGB to three layers comprising the R-G-B layers; (2) identification of the representatives of each class of suitable color tones using the k-means clustering technique; (3) deciphering the linear equations representing the linear relationship between the color tone and the content of nitrite; (4) designing of a mobile application for estimating the amount of nitrite based on an image; (5) development of the model-based mobile application for estimating the nitrite content; (6) evaluation of the developed mobile application using the testing dataset. The results revealed that the mean and median of the green color’s layer were appropriate representatives of the image dataset and could also be associated with the concentration of the nitrite standard solution. In addition, the efficiency of estimating the concentration of nitrite in meat products using the paper analytical apparatus was 88.25%.","PeriodicalId":36452,"journal":{"name":"Journal of Advances in Information Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135212024","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

Algorithm for Safety Decisions in Social Media Feeds Using Personification Patterns 使用人格化模式的社交媒体提要安全决策算法

IF 1

Journal of Advances in Information Technology Pub Date : 2023-01-01 DOI: 10.12720/jait.14.1.145-152

P. Gawade, Sarang A. Joshi

引用次数: 0

Nonlinear Optimal Control Using Sequential Niching Differential Evolution and Parallel Workers 基于顺序小生境差分进化与并行工人的非线性最优控制

IF 1

Journal of Advances in Information Technology Pub Date : 2023-01-01 DOI: 10.12720/jait.14.2.257-263

Y. Matanga, Yanxia Sun, Zenghui Wang

引用次数: 0

Forecasting Volatility in Generalized Autoregressive Conditional Heteroscedastic (GARCH) Model with Outliers 具有异常值的广义自回归条件异方差(GARCH)模型的波动率预测

IF 1

Journal of Advances in Information Technology Pub Date : 2023-01-01 DOI: 10.12720/jait.14.2.311-318

Shahid Akbar, T. Saba, Saeed Ali Omer Bahaj, Muhammad Inshal, Amjad Rehman Khan

引用次数: 0

Extractive Text Summarization for Indonesian News Article Using Ant System Algorithm 基于蚁群算法的印尼语新闻文章提取摘要

IF 1

Journal of Advances in Information Technology Pub Date : 2023-01-01 DOI: 10.12720/jait.14.2.295-301

A. S. Girsang, Fransisco Junius Amadeus

引用次数: 5

An Approach for Person Detection along with Object Using Machine Learning 一种基于机器学习的人与物体检测方法

IF 1

Journal of Advances in Information Technology Pub Date : 2023-01-01 DOI: 10.12720/jait.14.3.411-417

Srikanth Bethu, M. Neelakantappa, A. S. Goud, B. H. Krishna, P. Rao M

引用次数: 0

Comparative Study on Model Skill of ERT and LSTM in Classifying Proper or Improper Execution of Free Throw, Jump Shot, and Layup Basketball Maneuvers ERT与LSTM模型技术对罚球、跳投、上篮动作正确与不正确执行的比较研究

IF 1

Journal of Advances in Information Technology Pub Date : 2023-01-01 DOI: 10.12720/jait.14.3.594-600

J. P. Tomas, Kevin I. Lucero, Christian Jose P. Ajero, Renz Justin V. Thomas

引用次数: 0

Data Mining for Managing and Using Online Information on Facebook 管理和使用Facebook在线信息的数据挖掘

IF 1

Journal of Advances in Information Technology Pub Date : 2023-01-01 DOI: 10.12720/jait.14.4.769-776

Nidal Al Said

{"title":"Data Mining for Managing and Using Online Information on Facebook","authors":"Nidal Al Said","doi":"10.12720/jait.14.4.769-776","DOIUrl":"https://doi.org/10.12720/jait.14.4.769-776","url":null,"abstract":"—The problem under the study of this work is investigating data mining algorithms for intelligent analysis of data written in Arabic. The study comprised instead involves several stages, including Data Collection and Pre-Processing; Data Mining Algorithms (Multinomial Naïve Bayes Classifier, Naïve Bayes Classifier, Support Vector Machine and Modified K-Means); Study Results Processing and Software Implementation. A total of 16,732 Facebook posts written exclusively in Arabic were downloaded. Almost two-thirds of them (namely 11,155 items) were used to train algorithms, while the rest (5577 items) were subject to research. The training data were categorized into five groups based on subjects (politics, entertainment, medicine, science, and religion) with five keywords used for testing in each group. Most posts (4736 items) were related to politics. The most accurate algorithm proved to be the multinomial Naïve Bayesian classifier for the maximum number of test data, while the minimum values of this feature were recorded for the Support vector machine. The effectiveness of the multinomial Naïve Bayesian classifier algorithm was most remarkable for the maximum amount of data, while the Support Vector Machine was most effective for the minimum amount. The argument’s fit score is maximum at 5577 data points for the multinomial Naïve Bayesian classifier and 1394 data points for K-means. To improve and refine the results of data mining, the sample must be expanded, adding more data classes and keywords. Other machine learning models, such as deep learning algorithms, could also be used. The significance of investigation is very important because it expands our knowledge about the use of Machine Learning Algorithms to mine Arabic texts on social media platforms.","PeriodicalId":36452,"journal":{"name":"Journal of Advances in Information Technology","volume":"1 1","pages":""},"PeriodicalIF":1.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66333539","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

Analysis of Playing Positions in Tennis Match Videos to Assess Competition Using a Centroid Clustering Heatmap Prediction Technique 利用质心聚类热图预测技术分析网球比赛视频中的球员位置以评估比赛

IF 1

Journal of Advances in Information Technology Pub Date : 2023-01-01 DOI: 10.12720/jait.14.1.138-144

Kanjana Boonim

{"title":"Analysis of Playing Positions in Tennis Match Videos to Assess Competition Using a Centroid Clustering Heatmap Prediction Technique","authors":"Kanjana Boonim","doi":"10.12720/jait.14.1.138-144","DOIUrl":"https://doi.org/10.12720/jait.14.1.138-144","url":null,"abstract":"This research aimed to use clustered heatmap positioning analytical techniques in tennis in order to be able to analyze the positions of tennis players. A heatmap represents the cumulative frequency of tennis players’ movements in each zone of the tennis court. The performance testing of centroid clustering heatmap position analysis was achieved on selected men’s doubles tennis matches during the SINGHA CLASSIC 2019 competition. The research was done by collecting the cumulative frequency data and replacing it with intensity of color space. The process started with, firstly, cutting videos for each match based on the area of the court that could be seen clearly by the cameras in the field. Secondly, the video was converted into binary images. Thirdly, noise reduction was performed using morphological techniques. Fourthly, the centroid position was identified using a connected component and blob analysis. Fifthly, clustering data with k-mine was used to predict new tracks by Kalman filter. Finally, the percentage of player position in the three zones of the tennis court was calculated with the percent yield formula. The experimental results clearly showed the cumulative frequency of the players’ movement with the intensity of color space, allowing coaches and players to easily understand and use the data in planning for the next practice or competition.","PeriodicalId":36452,"journal":{"name":"Journal of Advances in Information Technology","volume":"1 1","pages":""},"PeriodicalIF":1.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66329291","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

Computer Vision-Based IoT Architecture for Post COVID-19 Preventive Measures 基于计算机视觉的物联网后冠状病毒预防体系结构

IF 1

Journal of Advances in Information Technology Pub Date : 2023-01-01 DOI: 10.12720/jait.14.1.7-19

Ahsanul Akib, Prof. Dr. Kamruddin Nur, Suman Saha, Jannatul Ferdous Srabonee, M. F. Mridha

{"title":"Computer Vision-Based IoT Architecture for Post COVID-19 Preventive Measures","authors":"Ahsanul Akib, Prof. Dr. Kamruddin Nur, Suman Saha, Jannatul Ferdous Srabonee, M. F. Mridha","doi":"10.12720/jait.14.1.7-19","DOIUrl":"https://doi.org/10.12720/jait.14.1.7-19","url":null,"abstract":"—The COVID-19 pandemic has wreaked havoc on people all across the world. Even though the number of verified COVID-19 cases is steadily decreasing, the danger persists. Only societal awareness and preventative measures can assist to minimize the number of impacted patients in the work environment. People often forget to wear masks before entering the work premises or are not careful enough to wear masks correctly. Keeping this in mind, this paper proposes an IoT-based architecture for taking all essential steps to combat the COVID-19 pandemic. The proposed low-cost architecture is divided into three components: one to detect face masks by using deep learning technologies, another to monitor contactless body temperature and the other to dispense disinfectants to the visitors. At first, we review all the existing state-of-the-art technologies, then we design and develop a working prototype. Here, we present our results with the accuracy of 97.43% using a deep Convolutional Neural Network (CNN) and 99.88% accuracy using MobileNetV2 deep learning architecture for automatic face mask detection.","PeriodicalId":36452,"journal":{"name":"Journal of Advances in Information Technology","volume":"1 1","pages":""},"PeriodicalIF":1.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66329937","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