Pub Date : 2023-06-08DOI: 10.1109/HORA58378.2023.10156802
N. Kodate, K. Obayashi, Yurie Maeda, Wenwei Yu, D. O'Shea, N. Sakata, S. Suwa, S. Masuyama
The worldwide pandemic reemphasized the significance of care work and its sector, and the greater role that can be played by digital welfare technologies and autonomous machines. However, there remain challenges in the way of smooth implementation of new technologies such as robots into care settings, for example, the degree of acceptability, safety risks to care recipients and perceived usability by end users. In order to test and explore the process by which such a digital device would be perceived and adopted by care professionals in different cultures, an original non-autonomous air-disinfection robot was developed for our cross-boundary, proof-of-concept research. The robot was first developed and introduced in Ireland, and following the completion of its eight-week long trial, the same equipment was transferred to and used in Japan for eight weeks in 2022. Prior to its instalment in both locations, training was provided to seven main users (comprising physiotherapists, nurses and social care professionals) working full-time in each residential care home. Semi-structured interviews, observations and focus groups took place, with system usability scale questionnaires distributed before, during and after the trials. The findings suggest that the users had positive perceptions of the device and its usability. Human-robot interactions in two countries are compared. The adoption process demonstrated that additional efforts were required to transform a piece of functional equipment into an interactive and accessible robot for multiple users. The study indicates care professionals' needs and views concerning automation and human-robot interactions, as well as future opportunities for co-design, development and implementation of care robots.
{"title":"Care professionals' experience of deploying an original non-autonomous air-purification robot in residential care homes in Ireland and Japan","authors":"N. Kodate, K. Obayashi, Yurie Maeda, Wenwei Yu, D. O'Shea, N. Sakata, S. Suwa, S. Masuyama","doi":"10.1109/HORA58378.2023.10156802","DOIUrl":"https://doi.org/10.1109/HORA58378.2023.10156802","url":null,"abstract":"The worldwide pandemic reemphasized the significance of care work and its sector, and the greater role that can be played by digital welfare technologies and autonomous machines. However, there remain challenges in the way of smooth implementation of new technologies such as robots into care settings, for example, the degree of acceptability, safety risks to care recipients and perceived usability by end users. In order to test and explore the process by which such a digital device would be perceived and adopted by care professionals in different cultures, an original non-autonomous air-disinfection robot was developed for our cross-boundary, proof-of-concept research. The robot was first developed and introduced in Ireland, and following the completion of its eight-week long trial, the same equipment was transferred to and used in Japan for eight weeks in 2022. Prior to its instalment in both locations, training was provided to seven main users (comprising physiotherapists, nurses and social care professionals) working full-time in each residential care home. Semi-structured interviews, observations and focus groups took place, with system usability scale questionnaires distributed before, during and after the trials. The findings suggest that the users had positive perceptions of the device and its usability. Human-robot interactions in two countries are compared. The adoption process demonstrated that additional efforts were required to transform a piece of functional equipment into an interactive and accessible robot for multiple users. The study indicates care professionals' needs and views concerning automation and human-robot interactions, as well as future opportunities for co-design, development and implementation of care robots.","PeriodicalId":247679,"journal":{"name":"2023 5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132057779","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 this paper, the properties of low-pass filters of signals with limited energy that are important for digital signal processing have been investigated. In particular, some conditions for the adequacy of signal smoothing have been established. The properties formulated in the work have been strictly justified for the case of using Fourier series of signals from the considered class. These properties have been generalized to the Fourier transformation of a signal and their implementation has been demonstrated for a number of specific examples. Other examples of functions that have the properties introduced in the work have been also given. Further research has revealed the universality of the functions for which the properties established in the work are fulfilled. In particular, the possibilities of their application in solving other problems of digital signal processing have been given.
{"title":"Properties of Low-Frequency Filters of One-Dimensional Signals with Limited Energy Spectrum","authors":"O. Barabash, Hennadii Mylnykov, Mykola Myroniuk, Vasyl Yasynetskyi, Andriy Makarchuk, Serhii Bazilo","doi":"10.1109/HORA58378.2023.10156759","DOIUrl":"https://doi.org/10.1109/HORA58378.2023.10156759","url":null,"abstract":"In this paper, the properties of low-pass filters of signals with limited energy that are important for digital signal processing have been investigated. In particular, some conditions for the adequacy of signal smoothing have been established. The properties formulated in the work have been strictly justified for the case of using Fourier series of signals from the considered class. These properties have been generalized to the Fourier transformation of a signal and their implementation has been demonstrated for a number of specific examples. Other examples of functions that have the properties introduced in the work have been also given. Further research has revealed the universality of the functions for which the properties established in the work are fulfilled. In particular, the possibilities of their application in solving other problems of digital signal processing have been given.","PeriodicalId":247679,"journal":{"name":"2023 5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130467551","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}
Pub Date : 2023-06-08DOI: 10.1109/HORA58378.2023.10156696
Abdisamad Ali Mohamed, Ismail Mohamed Jamal, Rizvi
Students' performance is a success component in greater education institutions. Predicting and analyzing the overall performance of the scholar is imperative to aid educators in figuring out weaknesses and bettering academic scores. However, accomplishing correct predictions is challenging due to the large quantity of instructional data. The important purpose in the back of this is the lack of research on exploring one-of-a-kind prediction strategies and key attributes that have an impact on the student's academic performance. This study found that the computer classification device mastery algorithm was most commonly used to predict student learning success. Four algorithms that have been used more frequently to predict learning about student success are ANN, naive boys, regression of logistics, SVM and decision tree. Meanwhile, the records used in these research papers mainly ranked students' success in the master's in two or three classes that are pass/fail; or fail/pass/excellent. The results of this research will give recommendations and contributions to policy makers and the higher education institutions in Somalia.
{"title":"Analysis Of Undergraduate Student Performance Patterns and Profiling Potential Dropouts","authors":"Abdisamad Ali Mohamed, Ismail Mohamed Jamal, Rizvi","doi":"10.1109/HORA58378.2023.10156696","DOIUrl":"https://doi.org/10.1109/HORA58378.2023.10156696","url":null,"abstract":"Students' performance is a success component in greater education institutions. Predicting and analyzing the overall performance of the scholar is imperative to aid educators in figuring out weaknesses and bettering academic scores. However, accomplishing correct predictions is challenging due to the large quantity of instructional data. The important purpose in the back of this is the lack of research on exploring one-of-a-kind prediction strategies and key attributes that have an impact on the student's academic performance. This study found that the computer classification device mastery algorithm was most commonly used to predict student learning success. Four algorithms that have been used more frequently to predict learning about student success are ANN, naive boys, regression of logistics, SVM and decision tree. Meanwhile, the records used in these research papers mainly ranked students' success in the master's in two or three classes that are pass/fail; or fail/pass/excellent. The results of this research will give recommendations and contributions to policy makers and the higher education institutions in Somalia.","PeriodicalId":247679,"journal":{"name":"2023 5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)","volume":"2006 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125560581","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}
Pub Date : 2023-06-08DOI: 10.1109/HORA58378.2023.10156734
Phumrapee Meyer, Poom Separattananan, Jetnipat Thongprasith, Chawaphon Payattapong, R. Chancharoen
This paper presents the development of a web application for teleoperation in the context of the food industry, leveraging a Flask python web framework for server, Socket.IO for real-time communication, MQTT for efficient data exchange, and Dropbox for secure data storage. The web application provides remote operation, real-time monitoring capabilities for a plant and data storing. The system consists of three main components: the main server, acting as a bridge between the web client and the plant's controller; the web client, offering a user-friendly interface and communicate with the main server; and the plant's controller, responsible for controlling the plant's operations and communication with main server. The system was successfully integrated with cutting of food items application featuring a Cartesian robot and a depth camera controlled by a Raspberry Pi 4. The web application enables users to initiate plant operations, visualize generated images, stream camera frames, and monitor the robot's position in real-time. Moreover, the system stores essential data such as point cloud arrays, 3D point cloud images, and object volumes in Dropbox. The system's advantages include Python implementation, web-based accessibility, seamless integration with the IoT ecosystem, adaptability to digital twin concepts, and efficient data storage. Overall, the teleoperating system significant benefits to the food industry, including enhanced precision, improved efficiency, seamless integration with the IoT ecosystem, and reliable data storage and analysis. By leveraging these advantages, food processing operations can achieve higher quality standards, increased productivity, and more informed decision-making, ultimately leading to improved customer satisfaction and business success.
{"title":"Web-Based Teleoperation System for Enhanced Precision and Efficiency in Food Industry Applications","authors":"Phumrapee Meyer, Poom Separattananan, Jetnipat Thongprasith, Chawaphon Payattapong, R. Chancharoen","doi":"10.1109/HORA58378.2023.10156734","DOIUrl":"https://doi.org/10.1109/HORA58378.2023.10156734","url":null,"abstract":"This paper presents the development of a web application for teleoperation in the context of the food industry, leveraging a Flask python web framework for server, Socket.IO for real-time communication, MQTT for efficient data exchange, and Dropbox for secure data storage. The web application provides remote operation, real-time monitoring capabilities for a plant and data storing. The system consists of three main components: the main server, acting as a bridge between the web client and the plant's controller; the web client, offering a user-friendly interface and communicate with the main server; and the plant's controller, responsible for controlling the plant's operations and communication with main server. The system was successfully integrated with cutting of food items application featuring a Cartesian robot and a depth camera controlled by a Raspberry Pi 4. The web application enables users to initiate plant operations, visualize generated images, stream camera frames, and monitor the robot's position in real-time. Moreover, the system stores essential data such as point cloud arrays, 3D point cloud images, and object volumes in Dropbox. The system's advantages include Python implementation, web-based accessibility, seamless integration with the IoT ecosystem, adaptability to digital twin concepts, and efficient data storage. Overall, the teleoperating system significant benefits to the food industry, including enhanced precision, improved efficiency, seamless integration with the IoT ecosystem, and reliable data storage and analysis. By leveraging these advantages, food processing operations can achieve higher quality standards, increased productivity, and more informed decision-making, ultimately leading to improved customer satisfaction and business success.","PeriodicalId":247679,"journal":{"name":"2023 5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)","volume":"221 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122453777","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}
Pub Date : 2023-06-08DOI: 10.1109/HORA58378.2023.10156737
Rıza Ilhan, Zakaria El Asker, Haroune Boudjellal
Scientists who are working in the field of haptic would like to overcome one of the profound challenges which is developing a multimodal tactile display. The user interfaces developed by them must include a higher number of modalities to create maximum realism while interacting with a user interface. However, advances in digital systems require a new method to create them and add additional factors for maximum satisfaction. In this paper, a tactile display that uses air to create a texture feeling is introduced. In addition, the convection method is employed for temperature feeling and the sense of smell is added in addition to the conventional modalities. The performance of the system was tested through psychophysical evaluation. The results showed that the developed surface has the potential to integrate in the current digital devices where human-machine interaction is a matter of interest.
{"title":"An Air Induced Tactile Display With Olfaction*","authors":"Rıza Ilhan, Zakaria El Asker, Haroune Boudjellal","doi":"10.1109/HORA58378.2023.10156737","DOIUrl":"https://doi.org/10.1109/HORA58378.2023.10156737","url":null,"abstract":"Scientists who are working in the field of haptic would like to overcome one of the profound challenges which is developing a multimodal tactile display. The user interfaces developed by them must include a higher number of modalities to create maximum realism while interacting with a user interface. However, advances in digital systems require a new method to create them and add additional factors for maximum satisfaction. In this paper, a tactile display that uses air to create a texture feeling is introduced. In addition, the convection method is employed for temperature feeling and the sense of smell is added in addition to the conventional modalities. The performance of the system was tested through psychophysical evaluation. The results showed that the developed surface has the potential to integrate in the current digital devices where human-machine interaction is a matter of interest.","PeriodicalId":247679,"journal":{"name":"2023 5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)","volume":"401 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126389534","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}
Pub Date : 2023-06-08DOI: 10.1109/HORA58378.2023.10156662
Zurab Sabakhtarishvili, Sijan Panday, Clayton Jensen, R. Ghosh
Crime is a severe problem that can cause physical harm, damage, or loss in society. Forecasting has always been in demand to analyze statistical criminal records to create a safe environment. In this study, we aim to develop a machine-learning model to predict criminal activities in Little Rock, Arkansas, and provide insights into crime patterns. We analyzed the publicly available crime datasets from Little Rock Police Department from January 2017 to March 2023 to identify trends and patterns in crime occurrence. We used data cleaning and exploratory data analysis techniques, such as figure-based visualizations, to prepare the data for machine learning. We applied Facebook Prophet, and NeuralProphet, a time-series machine learning model, to predict daily crime counts. The model trained data from January 2017 to November 2021 and was tested on data from November 2021 to March 2023. The model was evaluated using Root Mean Squared Error (RMSE), Mean Squared Error (MSE), and Mean Absolute Error (MAE) with results that represent a model that can accurately forecast crime occurrence in Little Rock. This study can be used to inform law enforcement agencies, policymakers, other research groups, and third parties, such as business owners, to develop effective crime prevention and detection strategies.
{"title":"Crime Prediction Using Machine Learning: The Case of The City of Little Rock","authors":"Zurab Sabakhtarishvili, Sijan Panday, Clayton Jensen, R. Ghosh","doi":"10.1109/HORA58378.2023.10156662","DOIUrl":"https://doi.org/10.1109/HORA58378.2023.10156662","url":null,"abstract":"Crime is a severe problem that can cause physical harm, damage, or loss in society. Forecasting has always been in demand to analyze statistical criminal records to create a safe environment. In this study, we aim to develop a machine-learning model to predict criminal activities in Little Rock, Arkansas, and provide insights into crime patterns. We analyzed the publicly available crime datasets from Little Rock Police Department from January 2017 to March 2023 to identify trends and patterns in crime occurrence. We used data cleaning and exploratory data analysis techniques, such as figure-based visualizations, to prepare the data for machine learning. We applied Facebook Prophet, and NeuralProphet, a time-series machine learning model, to predict daily crime counts. The model trained data from January 2017 to November 2021 and was tested on data from November 2021 to March 2023. The model was evaluated using Root Mean Squared Error (RMSE), Mean Squared Error (MSE), and Mean Absolute Error (MAE) with results that represent a model that can accurately forecast crime occurrence in Little Rock. This study can be used to inform law enforcement agencies, policymakers, other research groups, and third parties, such as business owners, to develop effective crime prevention and detection strategies.","PeriodicalId":247679,"journal":{"name":"2023 5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115294862","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}
Pub Date : 2023-06-08DOI: 10.1109/HORA58378.2023.10156701
Yunnyzar Mohd Zain, Suraya Yaacob, Roslina Ibrahim, Surya Sumarni Hussein
Implementation of Big Data and Analytics (BDA) is crucial to facilitate quality decision making among higher management in the government bodies. BDA consists of large datasets that are able to reveal relationships, trends, and noteworthy patterns, especially those connected to other interactions and human behaviors. Big data's potential worth is increasingly apparent to the public sector. Governments generate and gather enormous amounts of data through routine operations. It performs the role of data consumer in a way that enables data to be used for the facilitation of decision-making in public policymaking, service delivery, organizational management and innovation. Data analytics can make the appropriate decisions at the right time is crucial to achieving improved policy outcomes. In conjunction with the establishment and arising awareness of data driven decision making in the public sector, there is a significant need to understand the values of BDA from real organization and settings. Hence, this study has identified the values of BDA from four perspectives of financial, people, process and research development. These perspectives have been enriched via qualitative approaches of case studies from selected ministries and public agencies. The findings show and elaborate how far these valuables perspectives true from the official based on their experience. At the end, this framework will guide and give awareness about the impact and values of BDA in facilitating strategic thinking and planning in the decision making. By taking BDA as an effective method or tool which clearly emphasizes data, it drives for more transparent and accountable decision making in the bureaucracy of public sector.
{"title":"Valuable Insights Framework for Big Data and Analytics in the Malaysian Public Sector Organization","authors":"Yunnyzar Mohd Zain, Suraya Yaacob, Roslina Ibrahim, Surya Sumarni Hussein","doi":"10.1109/HORA58378.2023.10156701","DOIUrl":"https://doi.org/10.1109/HORA58378.2023.10156701","url":null,"abstract":"Implementation of Big Data and Analytics (BDA) is crucial to facilitate quality decision making among higher management in the government bodies. BDA consists of large datasets that are able to reveal relationships, trends, and noteworthy patterns, especially those connected to other interactions and human behaviors. Big data's potential worth is increasingly apparent to the public sector. Governments generate and gather enormous amounts of data through routine operations. It performs the role of data consumer in a way that enables data to be used for the facilitation of decision-making in public policymaking, service delivery, organizational management and innovation. Data analytics can make the appropriate decisions at the right time is crucial to achieving improved policy outcomes. In conjunction with the establishment and arising awareness of data driven decision making in the public sector, there is a significant need to understand the values of BDA from real organization and settings. Hence, this study has identified the values of BDA from four perspectives of financial, people, process and research development. These perspectives have been enriched via qualitative approaches of case studies from selected ministries and public agencies. The findings show and elaborate how far these valuables perspectives true from the official based on their experience. At the end, this framework will guide and give awareness about the impact and values of BDA in facilitating strategic thinking and planning in the decision making. By taking BDA as an effective method or tool which clearly emphasizes data, it drives for more transparent and accountable decision making in the bureaucracy of public sector.","PeriodicalId":247679,"journal":{"name":"2023 5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121031673","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}
Pub Date : 2023-06-08DOI: 10.1109/HORA58378.2023.10156804
M. Zhilevski, M. Mikhov, Madlena Zhilevska
The topic of this paper relates to the design of a traffic light system through the hardware language Verilog HDL. It is developed in two parts: theoretic analysis of the operation modes; synthesis, simulation and implementation aspects of the control system based on the software ISE Design Suite of Xilinx. Three control modes are provided, namely: normal traffic; operation in increased traffic; emergency traffic. Based on the formulated regimes, a control program has been synthesized and a detailed simulation using Verilog HDL has been done. This study and the results obtained can be used in the design and practical application of different traffic light systems.
{"title":"Design of a Traffic Light System Using Verilog HDL","authors":"M. Zhilevski, M. Mikhov, Madlena Zhilevska","doi":"10.1109/HORA58378.2023.10156804","DOIUrl":"https://doi.org/10.1109/HORA58378.2023.10156804","url":null,"abstract":"The topic of this paper relates to the design of a traffic light system through the hardware language Verilog HDL. It is developed in two parts: theoretic analysis of the operation modes; synthesis, simulation and implementation aspects of the control system based on the software ISE Design Suite of Xilinx. Three control modes are provided, namely: normal traffic; operation in increased traffic; emergency traffic. Based on the formulated regimes, a control program has been synthesized and a detailed simulation using Verilog HDL has been done. This study and the results obtained can be used in the design and practical application of different traffic light systems.","PeriodicalId":247679,"journal":{"name":"2023 5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116674366","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}
Pub Date : 2023-06-08DOI: 10.1109/HORA58378.2023.10156698
Spyridon K Chronopoulos
The purpose of this paper is to mention the overall scientific needs and provocation of the Quantum Theory, but also the stages that led to its formation (whereas there is rich literature). Moreover, we demonstrate and innovate toward providing the basic principles aiming to give meaning and context to what the title of this work includes, and that is Quantum Signal Analysis. Specifically, a preliminary protocol of basic rules presents how to accomplish implementation with the proper justifications. Moreover, an artificial intelligence (AI) scheme combines with the proposed protocol for general use. This mix could alter the field of AI as it includes quantum knowledge. Furthermore, the produced quantum artificial intelligence (QAI) could more sufficiently sustain green technologies.
{"title":"Quantum Signal Analysis combined to Artificial Intelligence and Green Sustainability: A Protocol of Feasible Rules","authors":"Spyridon K Chronopoulos","doi":"10.1109/HORA58378.2023.10156698","DOIUrl":"https://doi.org/10.1109/HORA58378.2023.10156698","url":null,"abstract":"The purpose of this paper is to mention the overall scientific needs and provocation of the Quantum Theory, but also the stages that led to its formation (whereas there is rich literature). Moreover, we demonstrate and innovate toward providing the basic principles aiming to give meaning and context to what the title of this work includes, and that is Quantum Signal Analysis. Specifically, a preliminary protocol of basic rules presents how to accomplish implementation with the proper justifications. Moreover, an artificial intelligence (AI) scheme combines with the proposed protocol for general use. This mix could alter the field of AI as it includes quantum knowledge. Furthermore, the produced quantum artificial intelligence (QAI) could more sufficiently sustain green technologies.","PeriodicalId":247679,"journal":{"name":"2023 5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123864060","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}
Pub Date : 2023-06-08DOI: 10.1109/HORA58378.2023.10156772
Maher Muayad Hefdhi, R. H. Thaher
This study provides an overview of the antenna microstrip that has been analyzed and designed that has been modified to operate on the GPS applications for the L1 band. 2019 computer simulation technology (CST) software has been utilized in this study. The elliptical microstrip patch antenna has a complicated calculation, but the proposed design has decreased the complexity by using a construction that is simple to fabricate, inexpensive to make, and the requirements. In the design that has been proposed for the L1 band, an elliptical patch will be used, and it will be supplied by a microstrip line feeder. The antenna has a volume of (65*95*1.6) mm3, and the substrate used in FR-4 has a loss tangent of (0.002) and ε_r value of (4.3). As a consequence of this, the system is able to accomplish an S11 of −32.33 dB at 1.579 GHz, in addition to achieving 4 % bandwidth and a gain of 1.2 dB with a VSWR of 1.04. After running a simulation, the return loss, gain, VSWR, group delay, and impedance matching of the proposed antenna have been constructed.
{"title":"New Microstrip Patch Antenna Design for L1-Band used for Global Positioning System","authors":"Maher Muayad Hefdhi, R. H. Thaher","doi":"10.1109/HORA58378.2023.10156772","DOIUrl":"https://doi.org/10.1109/HORA58378.2023.10156772","url":null,"abstract":"This study provides an overview of the antenna microstrip that has been analyzed and designed that has been modified to operate on the GPS applications for the L1 band. 2019 computer simulation technology (CST) software has been utilized in this study. The elliptical microstrip patch antenna has a complicated calculation, but the proposed design has decreased the complexity by using a construction that is simple to fabricate, inexpensive to make, and the requirements. In the design that has been proposed for the L1 band, an elliptical patch will be used, and it will be supplied by a microstrip line feeder. The antenna has a volume of (65*95*1.6) mm3, and the substrate used in FR-4 has a loss tangent of (0.002) and ε_r value of (4.3). As a consequence of this, the system is able to accomplish an S11 of −32.33 dB at 1.579 GHz, in addition to achieving 4 % bandwidth and a gain of 1.2 dB with a VSWR of 1.04. After running a simulation, the return loss, gain, VSWR, group delay, and impedance matching of the proposed antenna have been constructed.","PeriodicalId":247679,"journal":{"name":"2023 5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116559900","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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