Pub Date : 2022-08-06DOI: 10.1109/ROMA55875.2022.9915678
G. M. Abro, P. Horain, Juliana Damurie
Fourier Ptychographic microscopy (FPM) which is a low-cost but among the high throughput techniques. The main aim of FPM is to increase the space bandwidth product (SBP). In a microscope, one may trade of either to have a large image with low resolution or a small image with high resolution this is commonly termed as SBP that stands for space bandwidth product and defined as a product between field of view (FoV) and bandwidth of images in frequency domain. Researchers have developed a Fourier ptychographic microscopy (FPM) by introducing hardware design and computational imaging methods that provide high resolution images and wide field for viewing the image. One of the methods is to place number of LEDs beneath the slice in microscope to accumulate the information. Therefore, this manuscript presents the fundamental concept of Ptychographic Fourier microscopy along with the state-of-the-art approaches and the analysis related to auto-calibration of LEDs. In addition to this, paper will give directions for upcoming researchers to execute the task easily.
{"title":"Image Reconstruction & Calibration Strategies for Fourier Ptychographic Microscopy – A Brief Review.","authors":"G. M. Abro, P. Horain, Juliana Damurie","doi":"10.1109/ROMA55875.2022.9915678","DOIUrl":"https://doi.org/10.1109/ROMA55875.2022.9915678","url":null,"abstract":"Fourier Ptychographic microscopy (FPM) which is a low-cost but among the high throughput techniques. The main aim of FPM is to increase the space bandwidth product (SBP). In a microscope, one may trade of either to have a large image with low resolution or a small image with high resolution this is commonly termed as SBP that stands for space bandwidth product and defined as a product between field of view (FoV) and bandwidth of images in frequency domain. Researchers have developed a Fourier ptychographic microscopy (FPM) by introducing hardware design and computational imaging methods that provide high resolution images and wide field for viewing the image. One of the methods is to place number of LEDs beneath the slice in microscope to accumulate the information. Therefore, this manuscript presents the fundamental concept of Ptychographic Fourier microscopy along with the state-of-the-art approaches and the analysis related to auto-calibration of LEDs. In addition to this, paper will give directions for upcoming researchers to execute the task easily.","PeriodicalId":121458,"journal":{"name":"2022 IEEE 5th International Symposium in Robotics and Manufacturing Automation (ROMA)","volume":"51 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120842012","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 : 2022-08-06DOI: 10.1109/ROMA55875.2022.9915689
Aung Moe Zaw, Moin Ahmad Khan, M. Ramasamy, A. Kit, Lim Wei Hong, K. Aramugam, C. Deisy, S. Sridevi, M. Suresh, Z. Zulkoffli
Energy is existing everywhere and always being transferred from one state to another, even with the slightest movement of an object or matter. The human body uses potential energy and transfers it into kinetic energy when walking. Harvesting energy from the human locomotion is clean. The aim of this research is to study the biomechanics of a human body during motion and exploit the kinetic and vibrational energies to generate electricity to power a mechanized prosthetic or a battery for storage and later uses. The system uses a vertical spring mass system that will move vertically up and down. This movement will be the drive force to rotate the rotor of the generator or to move the cylindrical rod inside the LVDT sensor thus generating electricity. The spring mass system moves when it is subjected with external force, breaking its equilibrium state. The external force is caused by the displacement of center of mass and the heel strike of the foot when the person is walking. Among the various ways to harvest energy through human locomotion, the limb movement generates most energy compared to body heat and heartbeat methods. Therefore, this research implements the limb movement and electromagnetic induction generator properties/Linear Variable Differential Transformer (LVDT) properties and integrate into a system.
{"title":"Backpack Energy Harvesting System","authors":"Aung Moe Zaw, Moin Ahmad Khan, M. Ramasamy, A. Kit, Lim Wei Hong, K. Aramugam, C. Deisy, S. Sridevi, M. Suresh, Z. Zulkoffli","doi":"10.1109/ROMA55875.2022.9915689","DOIUrl":"https://doi.org/10.1109/ROMA55875.2022.9915689","url":null,"abstract":"Energy is existing everywhere and always being transferred from one state to another, even with the slightest movement of an object or matter. The human body uses potential energy and transfers it into kinetic energy when walking. Harvesting energy from the human locomotion is clean. The aim of this research is to study the biomechanics of a human body during motion and exploit the kinetic and vibrational energies to generate electricity to power a mechanized prosthetic or a battery for storage and later uses. The system uses a vertical spring mass system that will move vertically up and down. This movement will be the drive force to rotate the rotor of the generator or to move the cylindrical rod inside the LVDT sensor thus generating electricity. The spring mass system moves when it is subjected with external force, breaking its equilibrium state. The external force is caused by the displacement of center of mass and the heel strike of the foot when the person is walking. Among the various ways to harvest energy through human locomotion, the limb movement generates most energy compared to body heat and heartbeat methods. Therefore, this research implements the limb movement and electromagnetic induction generator properties/Linear Variable Differential Transformer (LVDT) properties and integrate into a system.","PeriodicalId":121458,"journal":{"name":"2022 IEEE 5th International Symposium in Robotics and Manufacturing Automation (ROMA)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123426845","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 : 2022-08-06DOI: 10.1109/ROMA55875.2022.9915695
Moch. Faqih, M. Omar, R. Ibrahim
Rowen’s Model is an established physical model which successfully represents the dynamic behavior of gas turbines. In recent years, this model has been widely developed using MATLAB/Simulink software. However, MATLAB is costly due to commercial license, becoming a constraint for those who want to simulate and evaluate the model with free and legal access. Hence, open-source software such as Scilab/XCos can be used to perform the simulation. Therefore, in this paper, Rowen’s Model is developed and analyzed using Scilab/XCos. The model is implemented to characterize the operation of DryLow Emission (DLE) gas turbine. The simulation study shows that Rowen’s model can be effectively developed using Scilab/Xcos and has been verified with MATLAB software.
{"title":"Development of Rowen’s Model for Dry-Low Emission Gas Turbine Dynamic Simulation using Scilab","authors":"Moch. Faqih, M. Omar, R. Ibrahim","doi":"10.1109/ROMA55875.2022.9915695","DOIUrl":"https://doi.org/10.1109/ROMA55875.2022.9915695","url":null,"abstract":"Rowen’s Model is an established physical model which successfully represents the dynamic behavior of gas turbines. In recent years, this model has been widely developed using MATLAB/Simulink software. However, MATLAB is costly due to commercial license, becoming a constraint for those who want to simulate and evaluate the model with free and legal access. Hence, open-source software such as Scilab/XCos can be used to perform the simulation. Therefore, in this paper, Rowen’s Model is developed and analyzed using Scilab/XCos. The model is implemented to characterize the operation of DryLow Emission (DLE) gas turbine. The simulation study shows that Rowen’s model can be effectively developed using Scilab/Xcos and has been verified with MATLAB software.","PeriodicalId":121458,"journal":{"name":"2022 IEEE 5th International Symposium in Robotics and Manufacturing Automation (ROMA)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126766476","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 : 2022-08-06DOI: 10.1109/ROMA55875.2022.9915666
M. A. Jabbar, M. I. Fahmi, Sb Yaakob, H. F. Liew, Nns Nordin, M. Z. Aihsan
Supercapacitors start to become major energy storage for electrical and electronic applications other than batteries. It provides better charging and discharging cycle in terms of time and rate of current which is higher than batteries. The ability to charge and discharge at a high current makes the supercapacitor has a higher power density which made it suitable for various application with high power demand. Supercapacitor is also sustainable material as it has a high charging cycle and longer life span. Self-discharge is the only drawback of the supercapacitor when compared to a battery. Supercapacitor self-discharge is affected by the charge and discharge cycle and the time taken to discharge after charge which will be the focus of this paper. The time where the supercapacitor is let in an open circuit gives effect toward the next self-discharge condition after fully charged to its rated voltage. The same rated supercapacitor will undergo constant current charging and be stored at a different timeframe and measure the self-discharge. The different timeframe to store the supercapacitor even with the same capacitance and rated voltage in an open circuit condition gives an effect on the self-discharge rate where the results show the longer time the supercapacitor is stored after fully charged, the higher the self-discharge rate of the supercapacitor will be.
{"title":"Self-discharge of Supercapacitor under Different Timeframe for Open Circuit Condition","authors":"M. A. Jabbar, M. I. Fahmi, Sb Yaakob, H. F. Liew, Nns Nordin, M. Z. Aihsan","doi":"10.1109/ROMA55875.2022.9915666","DOIUrl":"https://doi.org/10.1109/ROMA55875.2022.9915666","url":null,"abstract":"Supercapacitors start to become major energy storage for electrical and electronic applications other than batteries. It provides better charging and discharging cycle in terms of time and rate of current which is higher than batteries. The ability to charge and discharge at a high current makes the supercapacitor has a higher power density which made it suitable for various application with high power demand. Supercapacitor is also sustainable material as it has a high charging cycle and longer life span. Self-discharge is the only drawback of the supercapacitor when compared to a battery. Supercapacitor self-discharge is affected by the charge and discharge cycle and the time taken to discharge after charge which will be the focus of this paper. The time where the supercapacitor is let in an open circuit gives effect toward the next self-discharge condition after fully charged to its rated voltage. The same rated supercapacitor will undergo constant current charging and be stored at a different timeframe and measure the self-discharge. The different timeframe to store the supercapacitor even with the same capacitance and rated voltage in an open circuit condition gives an effect on the self-discharge rate where the results show the longer time the supercapacitor is stored after fully charged, the higher the self-discharge rate of the supercapacitor will be.","PeriodicalId":121458,"journal":{"name":"2022 IEEE 5th International Symposium in Robotics and Manufacturing Automation (ROMA)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130377765","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 : 2022-08-06DOI: 10.1109/ROMA55875.2022.9915696
Adnan Bin Amanat Ali, R. Ayyasamy, R. Akbar, V. Ponnusamy, Lim Ean Heng
Malware is the most critical threat among other cybersecurity threats because it could be a disaster for any organization, its resources, and operations. Due to non-compliance with adequate cybersecurity, SMEs are more vulnerable to malware attacks. Malware attacks can be known or unknown. SMEs must comply with adequate cybersecurity infrastructure to detect and mitigate these malware attacks. To the best of our knowledge, there is a limited study in the literature on finding the limitations of adopting cybersecurity infrastructure for malware detection and mitigation in Malaysian SMEs. In this paper, the factors have reviewed that influence the implementation of the cybersecurity infrastructure. These factors are further categorized into organizational, technical, and environmental challenges. A conceptual model for malware mitigation is designed based on the literature review findings. Furthermore, to design the proposed model, the most relevant theories, TOE (Technology, Organization, and Environment) and TAM (Technology Acceptance Model), are incorporated based on the literature review finding. This paper aims to propose a preliminary model for adopting technical cybersecurity infrastructure and mitigating malware threats in SMEs.
{"title":"Cybersecurity Infrastructure adoption Model for Malware Mitigation in Small Medium Enterprises (SME)","authors":"Adnan Bin Amanat Ali, R. Ayyasamy, R. Akbar, V. Ponnusamy, Lim Ean Heng","doi":"10.1109/ROMA55875.2022.9915696","DOIUrl":"https://doi.org/10.1109/ROMA55875.2022.9915696","url":null,"abstract":"Malware is the most critical threat among other cybersecurity threats because it could be a disaster for any organization, its resources, and operations. Due to non-compliance with adequate cybersecurity, SMEs are more vulnerable to malware attacks. Malware attacks can be known or unknown. SMEs must comply with adequate cybersecurity infrastructure to detect and mitigate these malware attacks. To the best of our knowledge, there is a limited study in the literature on finding the limitations of adopting cybersecurity infrastructure for malware detection and mitigation in Malaysian SMEs. In this paper, the factors have reviewed that influence the implementation of the cybersecurity infrastructure. These factors are further categorized into organizational, technical, and environmental challenges. A conceptual model for malware mitigation is designed based on the literature review findings. Furthermore, to design the proposed model, the most relevant theories, TOE (Technology, Organization, and Environment) and TAM (Technology Acceptance Model), are incorporated based on the literature review finding. This paper aims to propose a preliminary model for adopting technical cybersecurity infrastructure and mitigating malware threats in SMEs.","PeriodicalId":121458,"journal":{"name":"2022 IEEE 5th International Symposium in Robotics and Manufacturing Automation (ROMA)","volume":"48 18","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114027688","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 : 2022-08-06DOI: 10.1109/ROMA55875.2022.9915688
Farah Khaliq Baloch, G. M. Abro, Waheed Ali Laghari, Zubair Adil Soomro, A. Rahimoon, Rahul Kumar
Engineers and researchers are engaged today in the search of an alternative, dependable and sustainable power sources. Through many years long, traditional, non-renewable power sources i.e., coal, nuclear energy were harnessed to produce electricity. However, those sources had been depleting with regular usage. This had initiated a transfer in hobby to renewable energy sources (RES) like wind, sun, tidal electricity, and so on. The goal of this venture, consequently, changed into to layout and put into effect a hybrid power machine that combines of these RES as, wind and sun power, to generate reliable and sustainable energy. The aim of this energy is to manipulate it with the resource of Bluetooth module to on/off the switches as Relay for safety purpose. The coordinated utilization of the hybrid machines with the utility network can beautify the collaboration a few of the various regions of electricity to offer a super association inside the electric powered energy situation. This paper proposes one of the efficient solutions to control and monitor the hybrid power system using an android application.
{"title":"Controlling and Monitoring of Hybrid Power System Using an Android Application.","authors":"Farah Khaliq Baloch, G. M. Abro, Waheed Ali Laghari, Zubair Adil Soomro, A. Rahimoon, Rahul Kumar","doi":"10.1109/ROMA55875.2022.9915688","DOIUrl":"https://doi.org/10.1109/ROMA55875.2022.9915688","url":null,"abstract":"Engineers and researchers are engaged today in the search of an alternative, dependable and sustainable power sources. Through many years long, traditional, non-renewable power sources i.e., coal, nuclear energy were harnessed to produce electricity. However, those sources had been depleting with regular usage. This had initiated a transfer in hobby to renewable energy sources (RES) like wind, sun, tidal electricity, and so on. The goal of this venture, consequently, changed into to layout and put into effect a hybrid power machine that combines of these RES as, wind and sun power, to generate reliable and sustainable energy. The aim of this energy is to manipulate it with the resource of Bluetooth module to on/off the switches as Relay for safety purpose. The coordinated utilization of the hybrid machines with the utility network can beautify the collaboration a few of the various regions of electricity to offer a super association inside the electric powered energy situation. This paper proposes one of the efficient solutions to control and monitor the hybrid power system using an android application.","PeriodicalId":121458,"journal":{"name":"2022 IEEE 5th International Symposium in Robotics and Manufacturing Automation (ROMA)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129619790","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 : 2022-08-06DOI: 10.1109/ROMA55875.2022.9915671
Nur Suhailah Suhaimi, M. Yusoff, M. N. Saad
Research on brain signal analysis has been performed decades ago. This research field has benefited other industries such as health and analytics. Various analysis methods either conventional or intelligent methods had been explored in ensuring the best application was produced. In this project, a secondary dataset from motor cortex brain signals had been utilized and the dataset is captured by a non-invasive method using an electroencephalogram (EEG) tool. The dataset is then proposed to be extracted and classified using the Deep Learning Neural Network method. High accuracy and sensitivity of model analysis are expected as the outcome of the project. Besides, statistical analysis had been conducted to observe the significance between electrode placement and the output of the dataset. Thus, the Artificial Neural Network model was observed as the final finding.
{"title":"Artificial Neural Network Analysis On Motor Imagery Electroencephalogram","authors":"Nur Suhailah Suhaimi, M. Yusoff, M. N. Saad","doi":"10.1109/ROMA55875.2022.9915671","DOIUrl":"https://doi.org/10.1109/ROMA55875.2022.9915671","url":null,"abstract":"Research on brain signal analysis has been performed decades ago. This research field has benefited other industries such as health and analytics. Various analysis methods either conventional or intelligent methods had been explored in ensuring the best application was produced. In this project, a secondary dataset from motor cortex brain signals had been utilized and the dataset is captured by a non-invasive method using an electroencephalogram (EEG) tool. The dataset is then proposed to be extracted and classified using the Deep Learning Neural Network method. High accuracy and sensitivity of model analysis are expected as the outcome of the project. Besides, statistical analysis had been conducted to observe the significance between electrode placement and the output of the dataset. Thus, the Artificial Neural Network model was observed as the final finding.","PeriodicalId":121458,"journal":{"name":"2022 IEEE 5th International Symposium in Robotics and Manufacturing Automation (ROMA)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132077845","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 : 2022-08-06DOI: 10.1109/ROMA55875.2022.9915657
Wong Hooi Guan, M. A. Ahamed Khan, M. Ramasamy, C. Ang, Lim Wei Hong, Kalaiselvi, C. Deisy, Shanmugam Sridevi, M. Suresh
An EMG-based exoskeleton robot system that assist the rehabilitation process of upper limb has been proposed in this project. The exoskeleton has four degree of freedom (DOF) capable of various motion such as shoulder flexion/extension, abduction/adduction and internal/external rotation, and elbow flexion/extension. This project report describes the hardware design of the exoskeleton robot and the control method after analysing the work of other researchers. The skin surface electromyography (SEMG) signals of muscles and the joint force/torque of the user are used as the input information for the proposed controller. The robot’s motion can be controlled by both the SEMG signals and force/torque signals. Support vector machine (SVM) has been implemented to estimate user’s intended motion based on the SEMG signals. The proposed control system has only been tested in computer simulation. Thus, further testing and analysis are required before the robot prototype can be built.
{"title":"Surface Electromyography (SEMG) Based Robotic Assistive Device","authors":"Wong Hooi Guan, M. A. Ahamed Khan, M. Ramasamy, C. Ang, Lim Wei Hong, Kalaiselvi, C. Deisy, Shanmugam Sridevi, M. Suresh","doi":"10.1109/ROMA55875.2022.9915657","DOIUrl":"https://doi.org/10.1109/ROMA55875.2022.9915657","url":null,"abstract":"An EMG-based exoskeleton robot system that assist the rehabilitation process of upper limb has been proposed in this project. The exoskeleton has four degree of freedom (DOF) capable of various motion such as shoulder flexion/extension, abduction/adduction and internal/external rotation, and elbow flexion/extension. This project report describes the hardware design of the exoskeleton robot and the control method after analysing the work of other researchers. The skin surface electromyography (SEMG) signals of muscles and the joint force/torque of the user are used as the input information for the proposed controller. The robot’s motion can be controlled by both the SEMG signals and force/torque signals. Support vector machine (SVM) has been implemented to estimate user’s intended motion based on the SEMG signals. The proposed control system has only been tested in computer simulation. Thus, further testing and analysis are required before the robot prototype can be built.","PeriodicalId":121458,"journal":{"name":"2022 IEEE 5th International Symposium in Robotics and Manufacturing Automation (ROMA)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131652587","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 : 2022-08-06DOI: 10.1109/ROMA55875.2022.9915685
Fung Kim Hee, M. Mokayef
The unmanned aerial vehicles (UAVs) have turned to the emerging topic in both industry and academia era. Package delivery, agriculture, surveillance, search and rescue are now combined with the UAV connectivity that promise to change the current lifestyle. As such, the mitigation techniques have significant impact on the performance of the UAVs. To tackle the interference issue, this paper presents the in-depth investigation on the interference caused by the unmanned aerial vehicle (UAV) to the existing Long-Term Evolution (LTE) network. The total of three different mitigation techniques are investigated and the qualitative comparison between the techniques resulted from the simulation by SEAMCAT software, is presented accordingly. In particular, the obtained results from beamforming and CoMP techniques in LOS and NLOS conditions show the interference reduction of 13 to 15 dBm in LOS condition.
{"title":"Interference Mitigation Techniques For The Operation Of Unmanned Aerial Vehicle (Uav)","authors":"Fung Kim Hee, M. Mokayef","doi":"10.1109/ROMA55875.2022.9915685","DOIUrl":"https://doi.org/10.1109/ROMA55875.2022.9915685","url":null,"abstract":"The unmanned aerial vehicles (UAVs) have turned to the emerging topic in both industry and academia era. Package delivery, agriculture, surveillance, search and rescue are now combined with the UAV connectivity that promise to change the current lifestyle. As such, the mitigation techniques have significant impact on the performance of the UAVs. To tackle the interference issue, this paper presents the in-depth investigation on the interference caused by the unmanned aerial vehicle (UAV) to the existing Long-Term Evolution (LTE) network. The total of three different mitigation techniques are investigated and the qualitative comparison between the techniques resulted from the simulation by SEAMCAT software, is presented accordingly. In particular, the obtained results from beamforming and CoMP techniques in LOS and NLOS conditions show the interference reduction of 13 to 15 dBm in LOS condition.","PeriodicalId":121458,"journal":{"name":"2022 IEEE 5th International Symposium in Robotics and Manufacturing Automation (ROMA)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114063278","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 : 2022-08-06DOI: 10.1109/ROMA55875.2022.9915697
A. Abdou, S. Krishnan
Preventive healthcare is achievable through physiological long-term remote monitoring. In connected healthcare, wearables that can collect physiological signals such as electrocardiograms (ECG) and electroencephalogram (EEG) can help improve health outcomes in society. For single-lead ECG devices, there are still limitations for this role that includes short time continuous operability and uncomfortable sensors worn by the user making it non-appealing for uninterrupted remote monitoring. However, with the current advances in microelectronics, embedded systems, sensors, and Internet of Medical Things (IoMT), long-term monitoring is realizable. A decrease to the overall power consumption of the wearable leads to an increase in device longevity while dry ECG electrodes can be used to increase user comfort. This work proposes a lossless LempelZiv Welch (LZW) compression algorithm used to compress and optimize the raw ECG data obtained from a 3D printed dry electrode based single-lead ECG device. This approach utilizes the ECG's inherent waveform characteristics. The single-lead ECG's R-peak and RR-intervals are used as one-bit information that are further compressed for shorter wireless transmission, leading to an increase in battery life and device operation. The algorithm showed a high compression ratio (CR) for 10 seconds, 30 seconds, 1-minute and 5-minute ECG signals where CR was 0.99, 0.91, 0.91, 0.92, respectively. For the 5-minute ECG signal, the size of data decreased from 225 Kbytes to 18.75 Kbytes while retaining R-peak and RR interval information for heart rate (HR) and heart rate variability (HRV) calculations. This work adds to the current progress in single-lead ECG in long-term continuous remote monitoring for connected healthcare applications.
{"title":"Single-lead ECG Compression for Connected Healthcare Applications","authors":"A. Abdou, S. Krishnan","doi":"10.1109/ROMA55875.2022.9915697","DOIUrl":"https://doi.org/10.1109/ROMA55875.2022.9915697","url":null,"abstract":"Preventive healthcare is achievable through physiological long-term remote monitoring. In connected healthcare, wearables that can collect physiological signals such as electrocardiograms (ECG) and electroencephalogram (EEG) can help improve health outcomes in society. For single-lead ECG devices, there are still limitations for this role that includes short time continuous operability and uncomfortable sensors worn by the user making it non-appealing for uninterrupted remote monitoring. However, with the current advances in microelectronics, embedded systems, sensors, and Internet of Medical Things (IoMT), long-term monitoring is realizable. A decrease to the overall power consumption of the wearable leads to an increase in device longevity while dry ECG electrodes can be used to increase user comfort. This work proposes a lossless LempelZiv Welch (LZW) compression algorithm used to compress and optimize the raw ECG data obtained from a 3D printed dry electrode based single-lead ECG device. This approach utilizes the ECG's inherent waveform characteristics. The single-lead ECG's R-peak and RR-intervals are used as one-bit information that are further compressed for shorter wireless transmission, leading to an increase in battery life and device operation. The algorithm showed a high compression ratio (CR) for 10 seconds, 30 seconds, 1-minute and 5-minute ECG signals where CR was 0.99, 0.91, 0.91, 0.92, respectively. For the 5-minute ECG signal, the size of data decreased from 225 Kbytes to 18.75 Kbytes while retaining R-peak and RR interval information for heart rate (HR) and heart rate variability (HRV) calculations. This work adds to the current progress in single-lead ECG in long-term continuous remote monitoring for connected healthcare applications.","PeriodicalId":121458,"journal":{"name":"2022 IEEE 5th International Symposium in Robotics and Manufacturing Automation (ROMA)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123050788","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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