Jarelh Galdos, Nikolai Lopez Colque, Angie Medina Rodirguez, Jorge Huarca Quispe, Jorge Rendulich, Erasmo Sulla Espinoza
The acquisition of ECG signals offers physicians and specialists a very important tool in the diagnosis of cardiovascular diseases. However, very often these signals are affected by noise from various sources, including noise generated by movement during physical activity. This type of noise is known as Motion Artifact (MA) which changes the waveform of the signal, leading to erroneous readings. The elimination of this noise is performed by different filtering techniques, where the adaptive filtering using the LMS (least mean squares) algorithm stands out. The objective of this article is to determine which algorithms best deal with motion artifacts, taking into account the use of instruments or wearable equipment, in different conditions of physical activity. A comparison between different algorithms derived from LMS (NLMS, PNLMS and IPNLM) used in adaptive filtering is carried out using indicators such as: Pearson's Correlation Coefficient, Signal to Noise Ratio (SNR) and Mean Squared Error (MSE) as metrics to evaluate them. For this purpose, the mHealth database was used, which contains ECG signals taken during moderate to medium intensity physical activities. The results show that filtering by IPNLMS as well as PNLMS offers an improvement both visually and in terms of SNR, Pearson, and MSE indicators.
{"title":"COMPARISON AND EVALUATION OF LMS-DERIVED ALGORITHMS APPLIED ON ECG SIGNALS CONTAMINATED WITH MOTION ARTIFACT DURING PHYSICAL ACTIVITIES","authors":"Jarelh Galdos, Nikolai Lopez Colque, Angie Medina Rodirguez, Jorge Huarca Quispe, Jorge Rendulich, Erasmo Sulla Espinoza","doi":"10.35784/acs-2024-10","DOIUrl":"https://doi.org/10.35784/acs-2024-10","url":null,"abstract":"The acquisition of ECG signals offers physicians and specialists a very important tool in the diagnosis of cardiovascular diseases. However, very often these signals are affected by noise from various sources, including noise generated by movement during physical activity. This type of noise is known as Motion Artifact (MA) which changes the waveform of the signal, leading to erroneous readings. The elimination of this noise is performed by different filtering techniques, where the adaptive filtering using the LMS (least mean squares) algorithm stands out. The objective of this article is to determine which algorithms best deal with motion artifacts, taking into account the use of instruments or wearable equipment, in different conditions of physical activity. A comparison between different algorithms derived from LMS (NLMS, PNLMS and IPNLM) used in adaptive filtering is carried out using indicators such as: Pearson's Correlation Coefficient, Signal to Noise Ratio (SNR) and Mean Squared Error (MSE) as metrics to evaluate them. For this purpose, the mHealth database was used, which contains ECG signals taken during moderate to medium intensity physical activities. The results show that filtering by IPNLMS as well as PNLMS offers an improvement both visually and in terms of SNR, Pearson, and MSE indicators.","PeriodicalId":36379,"journal":{"name":"Applied Computer Science","volume":"45 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140362080","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}
Rumesh Edirimanne, W. M. Fernando, Peter Nielsen, H. N. Perera, Amila Thibbotuwawa
In recent times, there has been a notable increase in interest surrounding the integration of Un-manned Aerial Vehicle (UAV) technology and vehicle routing problems (VRP) for package delivery purposes. While existing studies have explored various types of package deliveries utilizing VRP, limited attention has been given to on-demand food delivery. This study aims to develop a VRP model that incorporates practical constraints such as payload capacity and maximum flying range, with the primary objective of minimizing travel distance in food delivery operations. A comparative analysis is conducted among three delivery methods, including UAV delivery, to determine the most effective approach and assess the feasibility of each method. Through a case study analysis focused on a pizza delivery service in Sri Lanka, it was observed that implementing VRP in a motorbike delivery system resulted in reduced travel distance, time, cost, and CO2 emissions compared to the existing delivery system. Furthermore, the utilization of UAVs in conjunction with VRP yielded even greater improvements across all parameters. Based on a comprehensive cost analysis considering long-term operations, the UAV-based delivery system was identified as the most cost-effective method, followed by the VRP-incorporated motorbike delivery method. Although the VRP-incorporated motorbike delivery system exhibited a slightly higher average time per route compared to the existing method, the total travel time required to complete all routes remained lower. Consequently, the study concludes that the VRP-incorporated motorbike delivery system outperforms the existing delivery method for food delivery, with the use of UAVs incorporating VRP identified as the optimal delivery method among the three alternatives. The findings contribute valuable insights to the optimization of food delivery logistics, emphasizing the potential of VRP and exploring the feasibility of UAVs for sustainable and efficient long-term delivery solutions.
{"title":"OPTIMIZING UNMANNED AERIAL VEHICLE BASED FOOD DELIVERY THROUGH VEHICLE ROUTING PROBLEM: A COMPARATIVE ANALYSIS OF THREE DELIVERY SYSTEMS.","authors":"Rumesh Edirimanne, W. M. Fernando, Peter Nielsen, H. N. Perera, Amila Thibbotuwawa","doi":"10.35784/acs-2024-06","DOIUrl":"https://doi.org/10.35784/acs-2024-06","url":null,"abstract":"In recent times, there has been a notable increase in interest surrounding the integration of Un-manned Aerial Vehicle (UAV) technology and vehicle routing problems (VRP) for package delivery purposes. While existing studies have explored various types of package deliveries utilizing VRP, limited attention has been given to on-demand food delivery. This study aims to develop a VRP model that incorporates practical constraints such as payload capacity and maximum flying range, with the primary objective of minimizing travel distance in food delivery operations. A comparative analysis is conducted among three delivery methods, including UAV delivery, to determine the most effective approach and assess the feasibility of each method. Through a case study analysis focused on a pizza delivery service in Sri Lanka, it was observed that implementing VRP in a motorbike delivery system resulted in reduced travel distance, time, cost, and CO2 emissions compared to the existing delivery system. Furthermore, the utilization of UAVs in conjunction with VRP yielded even greater improvements across all parameters. Based on a comprehensive cost analysis considering long-term operations, the UAV-based delivery system was identified as the most cost-effective method, followed by the VRP-incorporated motorbike delivery method. Although the VRP-incorporated motorbike delivery system exhibited a slightly higher average time per route compared to the existing method, the total travel time required to complete all routes remained lower. Consequently, the study concludes that the VRP-incorporated motorbike delivery system outperforms the existing delivery method for food delivery, with the use of UAVs incorporating VRP identified as the optimal delivery method among the three alternatives. The findings contribute valuable insights to the optimization of food delivery logistics, emphasizing the potential of VRP and exploring the feasibility of UAVs for sustainable and efficient long-term delivery solutions.","PeriodicalId":36379,"journal":{"name":"Applied Computer Science","volume":"9 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140362382","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}
In today's digitalized and technology-driven society, where the number of IoT devices and the volume of collected data is exponentially increasing, the use of sensor data has become a necessity in certain fields of activity. This paper presents a concise history of sensor evolution and specialization, with a focus on the sensors used for localization, particularly those present in microelectromechanical systems (MEMS) that make up inertial measurement units. The study starts with a general overview and progresses towards a more specific analysis of data sets collected from an accelerometer. In the materials and methods section, it emphasizes the imperfect nature of sensor measurements and the need to filter digital signals. Three different digital signal filtering techniques belonging to distinct filter categories are comparatively analyzed, with each technique having its own particularities, advantages and disadvantages. The analysis considers the effectiveness in reducing measurement errors, the impact of the filtering process on the original signal, the ability to highlight the underlying phenomenon, as well as the performance of the analyzed algorithms. The ultimate purpose of this article is to determine which filtration method is best suited for the signal at hand in the context of an indoor localization application.
{"title":"FILTERING STRATEGIES FOR SMARTPHONE EMITTED DIGITAL SIGNALS","authors":"Alexandru Marius Obretin, Andreea-Alina Cornea","doi":"10.35784/acs-2024-09","DOIUrl":"https://doi.org/10.35784/acs-2024-09","url":null,"abstract":"In today's digitalized and technology-driven society, where the number of IoT devices and the volume of collected data is exponentially increasing, the use of sensor data has become a necessity in certain fields of activity. This paper presents a concise history of sensor evolution and specialization, with a focus on the sensors used for localization, particularly those present in microelectromechanical systems (MEMS) that make up inertial measurement units. The study starts with a general overview and progresses towards a more specific analysis of data sets collected from an accelerometer. In the materials and methods section, it emphasizes the imperfect nature of sensor measurements and the need to filter digital signals. Three different digital signal filtering techniques belonging to distinct filter categories are comparatively analyzed, with each technique having its own particularities, advantages and disadvantages. The analysis considers the effectiveness in reducing measurement errors, the impact of the filtering process on the original signal, the ability to highlight the underlying phenomenon, as well as the performance of the analyzed algorithms. The ultimate purpose of this article is to determine which filtration method is best suited for the signal at hand in the context of an indoor localization application.","PeriodicalId":36379,"journal":{"name":"Applied Computer Science","volume":"58 36","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140362466","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}
Ziadeddine Makhlouf, Abdallah Meraoumia, Laimeche Lakhdar, M. Haouam
In the field of Electronic Health (e-Health), Electronic Health Records (EHR) are transmitted between health professionals using e-Health systems for cooperative medical practice, medical monitoring, telemedical expertise, and telemedical imaging. Medical images are a crucial component of EHR and are used in various aspects of telemedicine systems such as expertise, consultation, teaching, and research. However, protecting the authenticity and copyrights of medical images is essential to prevent duplication, modification, or unauthorized distribution. This paper proposes a robust medical image copyright protection method that uses patient palm-print template as watermark and Lorenz chaotic map for template concealing and selecting the appropriate embedding positions in medical images. The novelty of the method lies in optimizing the expected number of modifications per pixel of the medical images after being watermarked. Experimental results indicate that this approach has a high performance with a genuine accept rate of 99.86% and can withstand various image processing attacks, including Gaussian noise, compression, and image rotations, while ensuring personal data security during telemedicine data exchange.
{"title":"ENHANCING MEDICAL DATA SECURITY IN E-HEALTH SYSTEMS USING BIOMETRIC-BASED WATERMARKING","authors":"Ziadeddine Makhlouf, Abdallah Meraoumia, Laimeche Lakhdar, M. Haouam","doi":"10.35784/acs-2024-03","DOIUrl":"https://doi.org/10.35784/acs-2024-03","url":null,"abstract":"In the field of Electronic Health (e-Health), Electronic Health Records (EHR) are transmitted between health professionals using e-Health systems for cooperative medical practice, medical monitoring, telemedical expertise, and telemedical imaging. Medical images are a crucial component of EHR and are used in various aspects of telemedicine systems such as expertise, consultation, teaching, and research. However, protecting the authenticity and copyrights of medical images is essential to prevent duplication, modification, or unauthorized distribution. This paper proposes a robust medical image copyright protection method that uses patient palm-print template as watermark and Lorenz chaotic map for template concealing and selecting the appropriate embedding positions in medical images. The novelty of the method lies in optimizing the expected number of modifications per pixel of the medical images after being watermarked. Experimental results indicate that this approach has a high performance with a genuine accept rate of 99.86% and can withstand various image processing attacks, including Gaussian noise, compression, and image rotations, while ensuring personal data security during telemedicine data exchange.","PeriodicalId":36379,"journal":{"name":"Applied Computer Science","volume":"57 26","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140362685","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}
One of the concepts of human-computer interaction is the usability of websites, consisting of features such as efficiency, satisfaction, memorability, and learnability. Usability is particularly important in the case of websites that the user is expected to learn on their own. The main aim of this study is to evaluate the usability of user interfaces of websites and, based on this, to find how this evaluation is affected by the application of universal design principles. The objects of the study are two websites, one complying with the principles of universal design - created for the purpose of the study, and the other – an existing commercial website operating in the market, which does not follow these principles. Three hypotheses are defined: 1) effectiveness and efficiency of analyzed websites are higher for a service that followed the principles of universal design than a website that did not comply with these rules; 2) the quality of the user interface is greater for the service fulfilling the principles of universal design; 3) the satisfaction with the interaction with the interface is greater in case of websites conformed to the principles of universal design. The study uses two methods: eye tracking and questionnaires. The experiment involves 10 participants who had to perform a scenario consisting of 10 instructions that involved locating various elements in each of the tested GUI interfaces. The eye activity is recorded using a Gazepoint GP3 HD desktop eye tracker, which makes it possible to determine the effectiveness and efficiency values of using the analyzed interfaces. Each participant was also asked to fill out two questionnaires: the Lublin University of Technology one and the Questionnaire for User Interaction Satisfaction. The study proves the truth of the hypotheses, that is, the positive impact of universal design on the usability evaluation of user interfaces.
人机交互的概念之一是网站的可用性，包括效率、满意度、可记忆性和可学习性等特征。对于用户需要自学的网站来说，可用性尤为重要。本研究的主要目的是评估网站用户界面的可用性，并在此基础上找出通用设计原则的应用对评估的影响。研究对象是两个网站，一个是为研究目的而创建的符合通用设计原则的网站，另一个是市场上现有的商业网站，不符合这些原则。研究提出了三个假设1）与不符合通用设计原则的网站相比，遵循通用设计原则的服务网站分析的有效性和效率更高；2）符合通用设计原则的服务网站用户界面质量更高；3）符合通用设计原则的网站用户界面交互满意度更高。研究采用了两种方法：眼动跟踪和问卷调查。实验涉及 10 名参与者，他们必须完成一个由 10 个指令组成的场景，这些指令涉及在每个测试的图形用户界面中找到各种元素。使用 Gazepoint GP3 HD 台式眼动仪记录眼球活动，从而确定使用所分析界面的效果和效率值。每位参与者还被要求填写两份问卷：卢布林理工大学问卷和用户交互满意度问卷。研究证明了假设的真实性，即通用设计对用户界面可用性评估的积极影响。
{"title":"IMPACT OF APPLYING UNIVERSAL DESIGN PRINCIPLES ON THE USABILITY OF ONLINE ACCOMMODATION BOOKING WEBSITES","authors":"M. Skublewska-Paszkowska","doi":"10.35784/acs-2024-04","DOIUrl":"https://doi.org/10.35784/acs-2024-04","url":null,"abstract":"One of the concepts of human-computer interaction is the usability of websites, consisting of features such as efficiency, satisfaction, memorability, and learnability. Usability is particularly important in the case of websites that the user is expected to learn on their own. The main aim of this study is to evaluate the usability of user interfaces of websites and, based on this, to find how this evaluation is affected by the application of universal design principles. The objects of the study are two websites, one complying with the principles of universal design - created for the purpose of the study, and the other – an existing commercial website operating in the market, which does not follow these principles. Three hypotheses are defined: 1) effectiveness and efficiency of analyzed websites are higher for a service that followed the principles of universal design than a website that did not comply with these rules; 2) the quality of the user interface is greater for the service fulfilling the principles of universal design; 3) the satisfaction with the interaction with the interface is greater in case of websites conformed to the principles of universal design. The study uses two methods: eye tracking and questionnaires. The experiment involves 10 participants who had to perform a scenario consisting of 10 instructions that involved locating various elements in each of the tested GUI interfaces. The eye activity is recorded using a Gazepoint GP3 HD desktop eye tracker, which makes it possible to determine the effectiveness and efficiency values of using the analyzed interfaces. Each participant was also asked to fill out two questionnaires: the Lublin University of Technology one and the Questionnaire for User Interaction Satisfaction. The study proves the truth of the hypotheses, that is, the positive impact of universal design on the usability evaluation of user interfaces.","PeriodicalId":36379,"journal":{"name":"Applied Computer Science","volume":"45 16","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140363133","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}
Recently, the number of AR-based practice cases has been increasing. In this paper, the effect of AR-based circuit practice was examined through an experiment with 60 subjects (control group: 30, experimental group: 30). The report score, completion time, question count, and USE questionnaire were used in the analysis. As a result of the experiment, the report score was significantly increased by 15.48% in the experimental group (△report: +18 points) than in the control group (△report: +7 points). Question count decreased twice as much in the experimental group (△question: -18 times) as in the control group (△question: -9 times). The completion time of the experimental group (△time: -16 min) was reduced by approximately 4 min more than that of the control group (△time: -12 min), however, the difference was not statistically significant. The USE questionnaire received evaluations of 6.0 or higher (on a 7-point scale) in all categories (usefulness, ease of use, ease of learning, satisfaction). Therefore, From the experimental results, the proposed AR-based circuit practice is confirmed to be more effective than traditional circuit practice.
最近，基于 AR 的练习案例越来越多。本文以 60 名受试者（对照组 30 人，实验组 30 人）为对象，通过实验考察了基于 AR 的电路练习的效果。分析中使用了报告得分、完成时间、问题数量和 USE 问卷。实验结果显示，实验组的报告得分（△报告：+18 分）比对照组（△报告：+7 分）显著提高了 15.48%。实验组提问次数的减少（△提问：-18 次）是对照组（△提问：-9 次）的两倍。实验组的完成时间（△时间：-16 分钟）比对照组（△时间：-12 分钟）减少了约 4 分钟，但差异无统计学意义。USE 问卷在所有类别（有用性、易用性、易学性、满意度）中都获得了 6.0 或更高的评价（7 分制）。因此，从实验结果来看，基于 AR 的电路练习比传统电路练习更有效。
{"title":"STUDY ON AN AR-BASED CIRCUIT PRACTICE","authors":"Hae-Chan Na, Yoon Sang Kim","doi":"10.35784/acs-2024-02","DOIUrl":"https://doi.org/10.35784/acs-2024-02","url":null,"abstract":"Recently, the number of AR-based practice cases has been increasing. In this paper, the effect of AR-based circuit practice was examined through an experiment with 60 subjects (control group: 30, experimental group: 30). The report score, completion time, question count, and USE questionnaire were used in the analysis. As a result of the experiment, the report score was significantly increased by 15.48% in the experimental group (△report: +18 points) than in the control group (△report: +7 points). Question count decreased twice as much in the experimental group (△question: -18 times) as in the control group (△question: -9 times). The completion time of the experimental group (△time: -16 min) was reduced by approximately 4 min more than that of the control group (△time: -12 min), however, the difference was not statistically significant. The USE questionnaire received evaluations of 6.0 or higher (on a 7-point scale) in all categories (usefulness, ease of use, ease of learning, satisfaction). Therefore, From the experimental results, the proposed AR-based circuit practice is confirmed to be more effective than traditional circuit practice.","PeriodicalId":36379,"journal":{"name":"Applied Computer Science","volume":"28 21","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140364466","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}
Ghania Zidani, D. Djarah, Abdslam Benmakhlouf, Laid Khettache
Multi-object tracking is a crucial aspect of perception in the area of computer vision, widely used in autonomous driving, behavior recognition, and other areas. The complex and dynamic nature of environments, the ever-changing visual features of people, and the frequent appearance of occlusion interactions all impose limitations on the efficacy of existing pedestrian tracking algorithms. This results in suboptimal tracking precision and stability. As a solution, this article proposes an integrated detector-tracker framework for pedestrian tracking. The framework includes a pedestrian object detector that utilizes the YOLOv8 network, which is regarded as the latest state-of-the-art detector, that has been established. This detector provides an ideal detection base to address limitations. Through the combination of YOLOv8 and the DeepSort tracking algorithm, we have improved the ability to track pedestrians in dynamic scenarios. After conducting experiments on publicly available datasets such as MOT17 and MOT20, a clear improvement in accuracy and consistency was demonstrated, with MOTA scores of 63.82 and 58.95, and HOTA scores of 43.15 and 41.36, respectively. Our research highlights the significance of optimizing object detection to unleash the potential of tracking for critical applications like autonomous driving.
{"title":"OPTIMIZING PEDESTRIAN TRACKING FOR ROBUST PERCEPTION WITH YOLOv8 AND DEEPSORT","authors":"Ghania Zidani, D. Djarah, Abdslam Benmakhlouf, Laid Khettache","doi":"10.35784/acs-2024-05","DOIUrl":"https://doi.org/10.35784/acs-2024-05","url":null,"abstract":"Multi-object tracking is a crucial aspect of perception in the area of computer vision, widely used in autonomous driving, behavior recognition, and other areas. The complex and dynamic nature of environments, the ever-changing visual features of people, and the frequent appearance of occlusion interactions all impose limitations on the efficacy of existing pedestrian tracking algorithms. This results in suboptimal tracking precision and stability. As a solution, this article proposes an integrated detector-tracker framework for pedestrian tracking. The framework includes a pedestrian object detector that utilizes the YOLOv8 network, which is regarded as the latest state-of-the-art detector, that has been established. This detector provides an ideal detection base to address limitations. Through the combination of YOLOv8 and the DeepSort tracking algorithm, we have improved the ability to track pedestrians in dynamic scenarios. After conducting experiments on publicly available datasets such as MOT17 and MOT20, a clear improvement in accuracy and consistency was demonstrated, with MOTA scores of 63.82 and 58.95, and HOTA scores of 43.15 and 41.36, respectively. Our research highlights the significance of optimizing object detection to unleash the potential of tracking for critical applications like autonomous driving.","PeriodicalId":36379,"journal":{"name":"Applied Computer Science","volume":"52 14","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140362911","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}
Eduardo Sánchez‐García, Javier Martínez‐Falcó, B. Marco‐Lajara, J. Słoniec
The application of computer science in management and economics is a rapidly growing field that combines the analytical and technological capabilities of computer science with the strategic and operational needs of management and economics. The main aim of this research paper is to analyze the main academic contributors, sources, and international collaborations from 2014 to 2022 in computer science in the areas of management and economics, as well as to analyze the main subtopics developed over time. Bibliometric techniques were used to carry out the literature review, which allows an objective analysis of the academic literature through quantitative indicators. The results reveal a significant shift towards data-driven decision making in management, with artificial intelligence and machine learning improving predictive analytics, operational efficiency, and economic forecasting and modeling, highlighting the essential role of digital transformation in these disciplines, with significant implications for researchers, practitioners and decision-makers. It concludes that all stakeholders should work to develop a more informed and innovative approach to maximize the exploitation of the potential offered by computational sciences in different contexts. This includes the integration of advanced computational tools to improve decision making and operational efficiency, or the exploitation of computational models for more effective forecasting and policy decision making, as well as the continuous analysis of emerging areas in this field, being aware of the ethical, privacy and security challenges presented by these technologies, in order to ensure a responsible and equitable application.
{"title":"ANALYZING THE ROLE OF COMPUTER SCIENCE IN SHAPING MODERN ECONOMIC AND MANAGEMENT PRACTICES. BIBLIOMETRIC ANALYSIS","authors":"Eduardo Sánchez‐García, Javier Martínez‐Falcó, B. Marco‐Lajara, J. Słoniec","doi":"10.35784/acs-2024-12","DOIUrl":"https://doi.org/10.35784/acs-2024-12","url":null,"abstract":"The application of computer science in management and economics is a rapidly growing field that combines the analytical and technological capabilities of computer science with the strategic and operational needs of management and economics. The main aim of this research paper is to analyze the main academic contributors, sources, and international collaborations from 2014 to 2022 in computer science in the areas of management and economics, as well as to analyze the main subtopics developed over time. Bibliometric techniques were used to carry out the literature review, which allows an objective analysis of the academic literature through quantitative indicators. The results reveal a significant shift towards data-driven decision making in management, with artificial intelligence and machine learning improving predictive analytics, operational efficiency, and economic forecasting and modeling, highlighting the essential role of digital transformation in these disciplines, with significant implications for researchers, practitioners and decision-makers. It concludes that all stakeholders should work to develop a more informed and innovative approach to maximize the exploitation of the potential offered by computational sciences in different contexts. This includes the integration of advanced computational tools to improve decision making and operational efficiency, or the exploitation of computational models for more effective forecasting and policy decision making, as well as the continuous analysis of emerging areas in this field, being aware of the ethical, privacy and security challenges presented by these technologies, in order to ensure a responsible and equitable application.","PeriodicalId":36379,"journal":{"name":"Applied Computer Science","volume":"18 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140362738","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}
This study utilizes knowledge management (KM) to highlight a documentation-centric approach that is enhanced through artificial intelligence. Knowledge management can improve the decision-making process for predicting models that involved datasets, such as air pollution. Currently, air pollution has become a serious global issue, impacting almost every major city worldwide. As the capital and a central hub for various activities, Jakarta experiences heightened levels of activity, resulting in increased vehicular traffic and elevated air pollution levels. The comparative study aims to measure the accuracy levels of the naïve bayes, decision trees, and random forest prediction models. Additionally, the study uses evaluation measurements to assess how well the machine learning performs, utilizing a confusion matrix. The dataset’s duration is three years, from 2019 until 2021, obtained through Jakarta Open Data. The study found that the random forest achieved the best results with an accuracy rate of 94%, followed by the decision tree at 93%, and the naïve bayes had the lowest at 81%. Hence, the random forest emerges as a reliable predictive model for prediction of air pollution.
{"title":"KNOWLEDGE MANAGEMENT APPROACH IN COMPARATIVE STUDY OF AIR POLLUTION PREDICTION MODEL","authors":"Siti Rohajawati, Hutanti Setyodewi, Ferryansyah Muji Agustian Tresnanto, Debora Marianthi, Maruli Tua Baja Sihotang","doi":"10.35784/acs-2024-11","DOIUrl":"https://doi.org/10.35784/acs-2024-11","url":null,"abstract":"This study utilizes knowledge management (KM) to highlight a documentation-centric approach that is enhanced through artificial intelligence. Knowledge management can improve the decision-making process for predicting models that involved datasets, such as air pollution. Currently, air pollution has become a serious global issue, impacting almost every major city worldwide. As the capital and a central hub for various activities, Jakarta experiences heightened levels of activity, resulting in increased vehicular traffic and elevated air pollution levels. The comparative study aims to measure the accuracy levels of the naïve bayes, decision trees, and random forest prediction models. Additionally, the study uses evaluation measurements to assess how well the machine learning performs, utilizing a confusion matrix. The dataset’s duration is three years, from 2019 until 2021, obtained through Jakarta Open Data. The study found that the random forest achieved the best results with an accuracy rate of 94%, followed by the decision tree at 93%, and the naïve bayes had the lowest at 81%. Hence, the random forest emerges as a reliable predictive model for prediction of air pollution.","PeriodicalId":36379,"journal":{"name":"Applied Computer Science","volume":"26 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140363670","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}
Thermography as an innovative diagnostic technique with non-contact temperature measurement is used in many industries – science, industry, medicine, and security. When using thermography in the field of health, images and images sequences obtained from thermal imaging cameras allow to record the temperature distribution in order to further recognize whether the state of the body is consistent with the defined parameters or whether there are deviations. However, it is worth paying attention to the measurement accuracy of thermal imaging cameras, their specification, and image quality of thermograms. In the case of recording stress states, measurement discrepancies between thermal imaging cameras for smartphone may affect the final results. Therefore, this article focuses on the comparison of the possibility of recording and detecting stress using two smartphone thermal imaging cameras: SEEK THERMAL Compact Pro and FLIR ONE Pro. The specifications of both cameras were compared. At the same time, the possibility of recording stress using smartphone thermal imaging cameras was confirmed on the basis of an exemplary study. The results of the comparison and analysis show that smartphone thermography can be a quick registration and diagnostic method in behavioral-biomedical issues.
热成像技术作为一种非接触式温度测量的创新诊断技术，被广泛应用于科学、工业、医疗和安全等多个行业。在健康领域使用热成像技术时，通过热像仪获得的图像和图像序列可以记录温度分布，从而进一步识别人体状态是否符合规定参数或是否存在偏差。不过，值得注意的是热像仪的测量精度、规格和热图的图像质量。在记录应力状态时，智能手机热像仪之间的测量差异可能会影响最终结果。因此，本文重点比较了使用两款智能手机热像仪记录和检测压力的可能性：SEEK THERMAL Compact Pro 和 FLIR ONE Pro。对两款热像仪的规格进行了比较。同时，根据一项示范研究，确认了使用智能手机热像仪记录压力的可能性。比较和分析结果表明，智能手机热成像技术可以作为行为生物医学问题的快速登记和诊断方法。
{"title":"APPLICATION OF THERMAL IMAGING CAMERAS FOR SMARTPHONE: SEEK THERMAL COMPACT PRO AND FLIR ONE PRO FOR HUMAN STRESS DETECTION – COMPARISON AND STUDY","authors":"Katarzyna Baran","doi":"10.35784/acs-2024-08","DOIUrl":"https://doi.org/10.35784/acs-2024-08","url":null,"abstract":"Thermography as an innovative diagnostic technique with non-contact temperature measurement is used in many industries – science, industry, medicine, and security. When using thermography in the field of health, images and images sequences obtained from thermal imaging cameras allow to record the temperature distribution in order to further recognize whether the state of the body is consistent with the defined parameters or whether there are deviations. However, it is worth paying attention to the measurement accuracy of thermal imaging cameras, their specification, and image quality of thermograms. In the case of recording stress states, measurement discrepancies between thermal imaging cameras for smartphone may affect the final results. Therefore, this article focuses on the comparison of the possibility of recording and detecting stress using two smartphone thermal imaging cameras: SEEK THERMAL Compact Pro and FLIR ONE Pro. The specifications of both cameras were compared. At the same time, the possibility of recording stress using smartphone thermal imaging cameras was confirmed on the basis of an exemplary study. The results of the comparison and analysis show that smartphone thermography can be a quick registration and diagnostic method in behavioral-biomedical issues.","PeriodicalId":36379,"journal":{"name":"Applied Computer Science","volume":"1 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140364395","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}
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