Pub Date : 2020-11-04DOI: 10.1109/IEMCON51383.2020.9284913
Christian Nwankwo, H. Wimmer, Lei Chen, Jongyeop Kim
This research aims to propose a model to classify text messages that extracted from the smart phone using forensic software and several machine learning algorithms. The data analysis procedure subdivided into physical extraction, relevant partitions, logical extraction, digital forensic analysis, and text classification. In the text classification step, the final result derived by applying sentiment analysis and k-means clustering algorithm under the control of python application. Through this model, we were able to classify most of the messages correctly as either being positive or negative.
{"title":"Text Classification of Digital Forensic Data","authors":"Christian Nwankwo, H. Wimmer, Lei Chen, Jongyeop Kim","doi":"10.1109/IEMCON51383.2020.9284913","DOIUrl":"https://doi.org/10.1109/IEMCON51383.2020.9284913","url":null,"abstract":"This research aims to propose a model to classify text messages that extracted from the smart phone using forensic software and several machine learning algorithms. The data analysis procedure subdivided into physical extraction, relevant partitions, logical extraction, digital forensic analysis, and text classification. In the text classification step, the final result derived by applying sentiment analysis and k-means clustering algorithm under the control of python application. Through this model, we were able to classify most of the messages correctly as either being positive or negative.","PeriodicalId":6871,"journal":{"name":"2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"21 1","pages":"0661-0667"},"PeriodicalIF":0.0,"publicationDate":"2020-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89250461","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 : 2020-11-04DOI: 10.1109/IEMCON51383.2020.9284871
Pravir Malik, Lalitha Nallamothula
The four quantum phenomena of superposition, entanglement, tunneling, and annealing are envisioned to give quantum computing the ability to solve complex problems in very low-resolution times as compared with classical computers. These four phenomena are closely related to the light-based properties of presence, knowledge, power, and harmony, central to a multilayered light-based model of reality that also offers alternative foundation for thinking about quanta and quantum computation. In this model, it is not a random process from infinite superposed possibilities that exist at the quantum-level as supposed by the Copenhagen Interpretation, and as assumed as the foundation of the infinite processing capability of quantum objects by contemporary pioneers of quantum computing. Rather, the infinite processing capability is due to a more ordered display of superposition, entanglement, tunneling and annealing: superposition, as an ordered concord of light's property of presence stacked in logical arrangement by layer of light; entanglement, as a display of light's property of knowledge that occurs at a speed faster than the known speed of light; tunneling, as a display of light's property of power that allows toggling between different “realities” in layers of light; and annealing, expressing light's property of harmony, to find an ideal minimum state among a number of realities. These four quantum phenomena derivative from an implicit and natural unity within light, engineered to maintain that unity externally, will confer quantum computation with the possibility of extraordinary processing power.
{"title":"Fourfold Properties of Light and its Relevance to Quantum Computation","authors":"Pravir Malik, Lalitha Nallamothula","doi":"10.1109/IEMCON51383.2020.9284871","DOIUrl":"https://doi.org/10.1109/IEMCON51383.2020.9284871","url":null,"abstract":"The four quantum phenomena of superposition, entanglement, tunneling, and annealing are envisioned to give quantum computing the ability to solve complex problems in very low-resolution times as compared with classical computers. These four phenomena are closely related to the light-based properties of presence, knowledge, power, and harmony, central to a multilayered light-based model of reality that also offers alternative foundation for thinking about quanta and quantum computation. In this model, it is not a random process from infinite superposed possibilities that exist at the quantum-level as supposed by the Copenhagen Interpretation, and as assumed as the foundation of the infinite processing capability of quantum objects by contemporary pioneers of quantum computing. Rather, the infinite processing capability is due to a more ordered display of superposition, entanglement, tunneling and annealing: superposition, as an ordered concord of light's property of presence stacked in logical arrangement by layer of light; entanglement, as a display of light's property of knowledge that occurs at a speed faster than the known speed of light; tunneling, as a display of light's property of power that allows toggling between different “realities” in layers of light; and annealing, expressing light's property of harmony, to find an ideal minimum state among a number of realities. These four quantum phenomena derivative from an implicit and natural unity within light, engineered to maintain that unity externally, will confer quantum computation with the possibility of extraordinary processing power.","PeriodicalId":6871,"journal":{"name":"2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"55 1","pages":"0707-0711"},"PeriodicalIF":0.0,"publicationDate":"2020-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87077790","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 : 2020-11-04DOI: 10.1109/IEMCON51383.2020.9284870
Antonio Carlos Bento
The main objective of this work is to present the results of an experimental study using the NodeMCU12e devices with Shield, together with the Tft Nextion and the heart rate sensor MAX30102, normally these devices are used for projects that involve the Internet of Things (IoT), commonly used to create residential and electronic automation solutions, this project demonstrate how to build a solution for heart rate and pulse monitoring. The use of these resources allows the adequacy and control of patients, as well as for monitoring people who need special care. The results present a solution applicable in prototype format, which can be evolved to more complex models, serving as the basis for the development of more robust solutions and studies.
{"title":"An Experimental Survey with NodeMCU12e+Shield with Tft Nextion and MAX30102 Sensor","authors":"Antonio Carlos Bento","doi":"10.1109/IEMCON51383.2020.9284870","DOIUrl":"https://doi.org/10.1109/IEMCON51383.2020.9284870","url":null,"abstract":"The main objective of this work is to present the results of an experimental study using the NodeMCU12e devices with Shield, together with the Tft Nextion and the heart rate sensor MAX30102, normally these devices are used for projects that involve the Internet of Things (IoT), commonly used to create residential and electronic automation solutions, this project demonstrate how to build a solution for heart rate and pulse monitoring. The use of these resources allows the adequacy and control of patients, as well as for monitoring people who need special care. The results present a solution applicable in prototype format, which can be evolved to more complex models, serving as the basis for the development of more robust solutions and studies.","PeriodicalId":6871,"journal":{"name":"2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"21 1","pages":"0082-0086"},"PeriodicalIF":0.0,"publicationDate":"2020-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87309033","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 : 2020-11-04DOI: 10.1109/IEMCON51383.2020.9284931
Michael Chi Seng Tang, S. S. Teoh
Diabetic Retinopathy (DR) is a severe eye disease that could lead to sight loss. This disease is caused by damages in the blood vessels of the retina due to prolonged high blood glucose level. DR is characterized by the presence lesions and the formation of abnormal blood vessels in the retina called neovascularization. Early detection of DR is essential to prevent the disease from worsening and avoid early loss of vision in diabetic patients. Identification and segmentation of retinal blood vessels from fundus images are crucial tasks for automatic DR detection. This paper presents a blood vessel segmentation technique using Hessian Matrix. First, the green channel is extracted from the fundus image in the pre-processing stage. A Gaussian filter is then used to smoothen the image. Next, the Hessian Matrix is constructed to calculate the maximum principal curvature of the image's intensity for extracting the blood vessels' structure. The retina's boundary is then removed to reduce false detection. In the post-processing stage, morphological erosion is used to remove noise from the image. Contrast-limited adaptive histogram equalization (CLAHE) is then applied to enhance the resulting image. Finally, Iterative Self-Organizing Data Analysis (ISODATA) thresholding technique is used to binarize the image. Experiments were conducted to evaluate the proposed method's performance using fundus images obtained from DRIVE, HRF, and STARE datasets. The results showed that the technique could provide good accuracy on average up to 0.95.
{"title":"Blood Vessel Segmentation in Fundus Images Using Hessian Matrix for Diabetic Retinopathy Detection","authors":"Michael Chi Seng Tang, S. S. Teoh","doi":"10.1109/IEMCON51383.2020.9284931","DOIUrl":"https://doi.org/10.1109/IEMCON51383.2020.9284931","url":null,"abstract":"Diabetic Retinopathy (DR) is a severe eye disease that could lead to sight loss. This disease is caused by damages in the blood vessels of the retina due to prolonged high blood glucose level. DR is characterized by the presence lesions and the formation of abnormal blood vessels in the retina called neovascularization. Early detection of DR is essential to prevent the disease from worsening and avoid early loss of vision in diabetic patients. Identification and segmentation of retinal blood vessels from fundus images are crucial tasks for automatic DR detection. This paper presents a blood vessel segmentation technique using Hessian Matrix. First, the green channel is extracted from the fundus image in the pre-processing stage. A Gaussian filter is then used to smoothen the image. Next, the Hessian Matrix is constructed to calculate the maximum principal curvature of the image's intensity for extracting the blood vessels' structure. The retina's boundary is then removed to reduce false detection. In the post-processing stage, morphological erosion is used to remove noise from the image. Contrast-limited adaptive histogram equalization (CLAHE) is then applied to enhance the resulting image. Finally, Iterative Self-Organizing Data Analysis (ISODATA) thresholding technique is used to binarize the image. Experiments were conducted to evaluate the proposed method's performance using fundus images obtained from DRIVE, HRF, and STARE datasets. The results showed that the technique could provide good accuracy on average up to 0.95.","PeriodicalId":6871,"journal":{"name":"2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"50 1","pages":"0728-0733"},"PeriodicalIF":0.0,"publicationDate":"2020-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90237577","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}
Artificial intelligence persists on being a right-hand tool for many branches of biology. From preliminary advices and treatments, such as understanding if symptoms related to fever or cold, to critical detection of cancerous cell or classification of X-rays, traditional machine learning and deep learning techniques achieved remarkable feats. However, total dependency on machine-based prediction is yet a far fetched concept. In this paper, we provide a framework utilizing several Natural Language Processing (NLP) algorithms to construct a comparative analysis. We create an ensemble of top-performing algorithms to accomplish classification task on medical reports. We compare both the traditional machine learning and deep learning techniques and evaluate their probabilities of being reliable on analyzing medical diagnosis. We concluded that an ensemble approach can provide reliable outcomes with accuracy over 92% and that the current state of the art is unequipped to provide the result with the standard needed for health sectors but an ensemble of these techniques can be a pathway for future research direction.
{"title":"“Can NLP techniques be utilized as a reliable tool for medical science?” - Building a NLP Framework to Classify Medical Reports","authors":"Nafiz Sadman, Sumaiya Tasneem, Ariful Haque, Maminur Islam, M. Ahsan, Kishor Datta Gupta","doi":"10.1109/IEMCON51383.2020.9284834","DOIUrl":"https://doi.org/10.1109/IEMCON51383.2020.9284834","url":null,"abstract":"Artificial intelligence persists on being a right-hand tool for many branches of biology. From preliminary advices and treatments, such as understanding if symptoms related to fever or cold, to critical detection of cancerous cell or classification of X-rays, traditional machine learning and deep learning techniques achieved remarkable feats. However, total dependency on machine-based prediction is yet a far fetched concept. In this paper, we provide a framework utilizing several Natural Language Processing (NLP) algorithms to construct a comparative analysis. We create an ensemble of top-performing algorithms to accomplish classification task on medical reports. We compare both the traditional machine learning and deep learning techniques and evaluate their probabilities of being reliable on analyzing medical diagnosis. We concluded that an ensemble approach can provide reliable outcomes with accuracy over 92% and that the current state of the art is unequipped to provide the result with the standard needed for health sectors but an ensemble of these techniques can be a pathway for future research direction.","PeriodicalId":6871,"journal":{"name":"2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"11 1","pages":"0159-0166"},"PeriodicalIF":0.0,"publicationDate":"2020-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78548659","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 : 2020-11-04DOI: 10.1109/IEMCON51383.2020.9284942
Mohamed Karim Laoufi, S. Mekaoui, M. L. Tounsi
In this paper, a new formulation of the finite difference time domain technique (FDTD) was applied for an efficient hybrid-mode analysis of inhomogeneous planar waveguides and filters. An enhanced analytical formula for the cut-off frequency was also proposed for a three-layer waveguide while the shielding effect was investigated on bandpass filter performance. The computed S-parameters are in good agreement with simulated ones obtained with CST electromagnetic tool.
{"title":"An Enhanced FDTD Algorithm for Analyzing Inhomogeneous Multilayer Waveguides and Filters","authors":"Mohamed Karim Laoufi, S. Mekaoui, M. L. Tounsi","doi":"10.1109/IEMCON51383.2020.9284942","DOIUrl":"https://doi.org/10.1109/IEMCON51383.2020.9284942","url":null,"abstract":"In this paper, a new formulation of the finite difference time domain technique (FDTD) was applied for an efficient hybrid-mode analysis of inhomogeneous planar waveguides and filters. An enhanced analytical formula for the cut-off frequency was also proposed for a three-layer waveguide while the shielding effect was investigated on bandpass filter performance. The computed S-parameters are in good agreement with simulated ones obtained with CST electromagnetic tool.","PeriodicalId":6871,"journal":{"name":"2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"1 1","pages":"0692-0695"},"PeriodicalIF":0.0,"publicationDate":"2020-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89296034","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}
A fully integrated tapered matrix distributed amplifier (DA) for broadband applications is presented in this paper. The DA is designed in the TSMC 180 nm CMOS RF process. For the gain improvement, the proposed DA employs a matrix architecture to take advantage of the additive and multiplicative gain mechanisms simultaneously. In addition, tapered transmission line technique is used to mitigate power consumption. Also, the terminating resistor of the input transmission line is replaced with an optimized RL-network to ameliorate the noise curve of the DA. In the first stage, the DA used a tunable cascode amplifier as the gain cells to extend the bandwidth. Based on simulation results, the proposed DA with a 3-dB bandwidth of 19.5 GHz demonstrates a flat power gain (S21) of $12+1 text{dB}$. Throughout the frequency range, S11 and S22 of the DA are below than −10 dB. The noise figure (NF) varies between 5 ∼ 6.75 dB and the average third-order input intercept point (IIP3) in the operating band is −3.75 dBm. The proposed DA consumes a DC power of 25 mW from a 1-V supply.
{"title":"A Low-Power Tapered Matrix Distributed Amplifier for Ultra-Wide-Band Applications","authors":"Mehrdad Harifi-Mood, Somayye Abbasi Avval, Abolfazl Bijari, Nabeeh Kandalaft","doi":"10.1109/IEMCON51383.2020.9284842","DOIUrl":"https://doi.org/10.1109/IEMCON51383.2020.9284842","url":null,"abstract":"A fully integrated tapered matrix distributed amplifier (DA) for broadband applications is presented in this paper. The DA is designed in the TSMC 180 nm CMOS RF process. For the gain improvement, the proposed DA employs a matrix architecture to take advantage of the additive and multiplicative gain mechanisms simultaneously. In addition, tapered transmission line technique is used to mitigate power consumption. Also, the terminating resistor of the input transmission line is replaced with an optimized RL-network to ameliorate the noise curve of the DA. In the first stage, the DA used a tunable cascode amplifier as the gain cells to extend the bandwidth. Based on simulation results, the proposed DA with a 3-dB bandwidth of 19.5 GHz demonstrates a flat power gain (S21) of $12+1 text{dB}$. Throughout the frequency range, S11 and S22 of the DA are below than −10 dB. The noise figure (NF) varies between 5 ∼ 6.75 dB and the average third-order input intercept point (IIP3) in the operating band is −3.75 dBm. The proposed DA consumes a DC power of 25 mW from a 1-V supply.","PeriodicalId":6871,"journal":{"name":"2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"1 1","pages":"0815-0820"},"PeriodicalIF":0.0,"publicationDate":"2020-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78933175","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 : 2020-11-04DOI: 10.1109/IEMCON51383.2020.9284824
M.P.M. Dias, U. Udunuwara, R.L. Weragama, P. M. Senadeera
Fault management plays a major role in Telecommunication industry. An effective and efficient response to customer complaints is an essential index of organization's performance. The presented model for the CEMP has the ability to minimize customers' dissatisfaction and on the other hand it can encourage customers to participate in controlling the provided quality of the services. The customer may feel dissatisfied with the service if he or she receives a delayed response. Customers do not know where to fill the complaint, Current complaint handling in the organization still have these problems. Therefore, CEMP was proposed and implemented to solve the customer faults. CEMP was consisted both a mobile application and a web application linking the customer to technician in the field through a management portal. Proposed system has the functionalities of fault/technician tracking, maintain user profile, nearest technician acknowledgement and customer feedback which are beneficial to both customer and the company.
{"title":"Customer Experience Management Platform (CEMP)","authors":"M.P.M. Dias, U. Udunuwara, R.L. Weragama, P. M. Senadeera","doi":"10.1109/IEMCON51383.2020.9284824","DOIUrl":"https://doi.org/10.1109/IEMCON51383.2020.9284824","url":null,"abstract":"Fault management plays a major role in Telecommunication industry. An effective and efficient response to customer complaints is an essential index of organization's performance. The presented model for the CEMP has the ability to minimize customers' dissatisfaction and on the other hand it can encourage customers to participate in controlling the provided quality of the services. The customer may feel dissatisfied with the service if he or she receives a delayed response. Customers do not know where to fill the complaint, Current complaint handling in the organization still have these problems. Therefore, CEMP was proposed and implemented to solve the customer faults. CEMP was consisted both a mobile application and a web application linking the customer to technician in the field through a management portal. Proposed system has the functionalities of fault/technician tracking, maintain user profile, nearest technician acknowledgement and customer feedback which are beneficial to both customer and the company.","PeriodicalId":6871,"journal":{"name":"2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"126 1","pages":"0677-0680"},"PeriodicalIF":0.0,"publicationDate":"2020-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76902682","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 : 2020-11-04DOI: 10.1109/IEMCON51383.2020.9284939
Leonardo Grando, E. Ursini, Paulo S. Martins
This work seeks to address one of the most critical problems of Flying Ad Hoc Networks (FANET), which is the issue of recharging batteries coordination. For recharges to be carried out in the best possible way, the number of load devices (Base Stations) should not be excessively high so as not to burden the network. On the other hand, it is also necessary that when the drones want to recharge, there must always be a source of energy available. For this, we propose internal estimators that provide intelligence to the drones to try to predict the next charger attendance rate. The drones will not have communication with each other to recharge coordination but will continue to communicate concerning other routine activities (note that this communication is not considered in the scope of this model), that is, for recharging the batteries' coordination, there will be no energy expenditure on communication. The verification of the suitability of the proposal is done through Agent-Based Simulation and the use of three different policies for decision making. This will enable an approach that aims to optimize the operation of the system through a Nash equilibrium.
{"title":"Drones Swarm Recharging: Modeling Using Agent-Based Simulation","authors":"Leonardo Grando, E. Ursini, Paulo S. Martins","doi":"10.1109/IEMCON51383.2020.9284939","DOIUrl":"https://doi.org/10.1109/IEMCON51383.2020.9284939","url":null,"abstract":"This work seeks to address one of the most critical problems of Flying Ad Hoc Networks (FANET), which is the issue of recharging batteries coordination. For recharges to be carried out in the best possible way, the number of load devices (Base Stations) should not be excessively high so as not to burden the network. On the other hand, it is also necessary that when the drones want to recharge, there must always be a source of energy available. For this, we propose internal estimators that provide intelligence to the drones to try to predict the next charger attendance rate. The drones will not have communication with each other to recharge coordination but will continue to communicate concerning other routine activities (note that this communication is not considered in the scope of this model), that is, for recharging the batteries' coordination, there will be no energy expenditure on communication. The verification of the suitability of the proposal is done through Agent-Based Simulation and the use of three different policies for decision making. This will enable an approach that aims to optimize the operation of the system through a Nash equilibrium.","PeriodicalId":6871,"journal":{"name":"2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"13 1","pages":"0094-0100"},"PeriodicalIF":0.0,"publicationDate":"2020-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88794703","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 : 2020-11-04DOI: 10.1109/IEMCON51383.2020.9284895
T. Tothong, James Samawi, Ameya Govalkar, K. George
Quadcopters are entering numerous fields of work and require unique functionality for each area that they are deployed. They are also becoming more adaptable to terrain and changes in the environment. For example, a quadcopter that can fold could be used by Search and Rescue teams who need to navigate tight and inaccessible spaces. This paper presents a notable insight into two variants of morphing drones that have been assembled with keeping different morphing modes and mechanisms in mind. The first proposed quadcopter uses servo motors on each propellor arm to achieve a folding motion mid-flight, while the second proposed quadcopter uses a novel method of utilizing micro linear actuators to reduce its size in all directions. Flight data for the proposed quadcopters will be presented, along with comparing total weight, flight time, size reduction, and other parameters with similar morphing quadcopters from the research community.
{"title":"Morphing Quadcopters: A Comparison Between Proposed and Prominent Foldable Quadcopters","authors":"T. Tothong, James Samawi, Ameya Govalkar, K. George","doi":"10.1109/IEMCON51383.2020.9284895","DOIUrl":"https://doi.org/10.1109/IEMCON51383.2020.9284895","url":null,"abstract":"Quadcopters are entering numerous fields of work and require unique functionality for each area that they are deployed. They are also becoming more adaptable to terrain and changes in the environment. For example, a quadcopter that can fold could be used by Search and Rescue teams who need to navigate tight and inaccessible spaces. This paper presents a notable insight into two variants of morphing drones that have been assembled with keeping different morphing modes and mechanisms in mind. The first proposed quadcopter uses servo motors on each propellor arm to achieve a folding motion mid-flight, while the second proposed quadcopter uses a novel method of utilizing micro linear actuators to reduce its size in all directions. Flight data for the proposed quadcopters will be presented, along with comparing total weight, flight time, size reduction, and other parameters with similar morphing quadcopters from the research community.","PeriodicalId":6871,"journal":{"name":"2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"5 1","pages":"0589-0596"},"PeriodicalIF":0.0,"publicationDate":"2020-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85024112","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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