Pub Date : 2021-07-13DOI: 10.1109/ICIAS49414.2021.9642507
Rahul Kumar, R. Kannan, N. M. Nor
With the increasing trend in energy demand, researchers are moving towards renewable energy sources (RESs). However, RESs such as, fuel cell or photovoltaic panel offers low output voltage, and it is essential to step-up this low voltage before connecting to the grid or an inverter in two stage power conversion system. The Z-network converter could be used for DC-DC conversion to enhance renewable energy sources voltage. however, boost capabilities of conventional Z-source DC-DC converter (ZSC) are limited, and utilization of higher part count makes it bulky and expensive. In this paper, a new design of ZSC is presented that offers higher gain at smaller duty cycle. Besides, the performance of proposed converter is analyzed with parasitic parameters to validate the proposed design. Moreover, the PI controller is designed for the proposed converter to maintain the constant output voltage to the desired value. The values of proportional and integral (P and I) terms are calculated based on the PID tuning method and the transfer function of the proposed system is achieved using the system identification toolbox (SIT) in MATLAB. Moreover, The performance of proposed converter is compared with recently proposed Hybrid ZSC and conventional ZSC. The simulation studies for the proposed design, conventional ZSC, and Hybrid ZSC are carried out in Simulink software and the outcome verified the superiority of the proposed converter over conventional converters.
{"title":"Performance Analysis of High Gain Z-Source DC-DC Boost Converter","authors":"Rahul Kumar, R. Kannan, N. M. Nor","doi":"10.1109/ICIAS49414.2021.9642507","DOIUrl":"https://doi.org/10.1109/ICIAS49414.2021.9642507","url":null,"abstract":"With the increasing trend in energy demand, researchers are moving towards renewable energy sources (RESs). However, RESs such as, fuel cell or photovoltaic panel offers low output voltage, and it is essential to step-up this low voltage before connecting to the grid or an inverter in two stage power conversion system. The Z-network converter could be used for DC-DC conversion to enhance renewable energy sources voltage. however, boost capabilities of conventional Z-source DC-DC converter (ZSC) are limited, and utilization of higher part count makes it bulky and expensive. In this paper, a new design of ZSC is presented that offers higher gain at smaller duty cycle. Besides, the performance of proposed converter is analyzed with parasitic parameters to validate the proposed design. Moreover, the PI controller is designed for the proposed converter to maintain the constant output voltage to the desired value. The values of proportional and integral (P and I) terms are calculated based on the PID tuning method and the transfer function of the proposed system is achieved using the system identification toolbox (SIT) in MATLAB. Moreover, The performance of proposed converter is compared with recently proposed Hybrid ZSC and conventional ZSC. The simulation studies for the proposed design, conventional ZSC, and Hybrid ZSC are carried out in Simulink software and the outcome verified the superiority of the proposed converter over conventional converters.","PeriodicalId":212635,"journal":{"name":"2020 8th International Conference on Intelligent and Advanced Systems (ICIAS)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123106015","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 : 2021-07-13DOI: 10.1109/ICIAS49414.2021.9642618
Srinivasan Prabakar, K. Porkumaran, R. Karthikeyan, Samson Isaac, R. Kannan, N. M. Nor, I. Elamvazuthi
Retinopathy of Prematurity (ROP) is a retinal vessel growth condition that affects premature infants who usually are under a birth weight of 1,500 grams and have a gestational age of 32 weeks or less. The back portion of the eye, retina captures light and sends signals to the brain, creating the vision of eye. Blood vessels supply oxygen and nutrients to the retina and these blood vessels begin to develop at 16-18 weeks after conception, and complete with full maturity before the normal birth. Premature birth suffers the development of the retina vasculature and leaves some of the retina without blood vessels, which causes of visual loss in childhood. Serial RetCam images are acquired from premature infants. By applying three pre-processing techniques such as green colour plane, histogram equalization, Contrast Limited Adaptive Histogram Equalization (CLAHE), we can get the best contrast between the vessels and background of retina. After segmentation, watershed transform is applied, and then six statistical features are taken out from that image. Finally the images are categorized as normal or abnormal by using ANFIS (The Adaptive Neuro-Fuzzy Inference System) classifier.
{"title":"Stochastic Approach for the Identification of Retinopathy of Prematurity","authors":"Srinivasan Prabakar, K. Porkumaran, R. Karthikeyan, Samson Isaac, R. Kannan, N. M. Nor, I. Elamvazuthi","doi":"10.1109/ICIAS49414.2021.9642618","DOIUrl":"https://doi.org/10.1109/ICIAS49414.2021.9642618","url":null,"abstract":"Retinopathy of Prematurity (ROP) is a retinal vessel growth condition that affects premature infants who usually are under a birth weight of 1,500 grams and have a gestational age of 32 weeks or less. The back portion of the eye, retina captures light and sends signals to the brain, creating the vision of eye. Blood vessels supply oxygen and nutrients to the retina and these blood vessels begin to develop at 16-18 weeks after conception, and complete with full maturity before the normal birth. Premature birth suffers the development of the retina vasculature and leaves some of the retina without blood vessels, which causes of visual loss in childhood. Serial RetCam images are acquired from premature infants. By applying three pre-processing techniques such as green colour plane, histogram equalization, Contrast Limited Adaptive Histogram Equalization (CLAHE), we can get the best contrast between the vessels and background of retina. After segmentation, watershed transform is applied, and then six statistical features are taken out from that image. Finally the images are categorized as normal or abnormal by using ANFIS (The Adaptive Neuro-Fuzzy Inference System) classifier.","PeriodicalId":212635,"journal":{"name":"2020 8th International Conference on Intelligent and Advanced Systems (ICIAS)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115510353","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 : 2021-07-13DOI: 10.1109/ICIAS49414.2021.9642623
A. A. Altahir, V. Asirvadam, P. Sebastian, N. H. Hamid
Classical literature in sensor networks classifies the sensor detectability into deterministic or probabilistic sensing models. However, sensing models used in camera coverage modeling lack a proper association with respect to the aforementioned classification. This paper focuses on sensing models used to represent the detection in visual sensor coverage. The paper reviews the sensing models taxonomy used in modeling camera coverage and extrapolates a more relevant sensing model classification to be used with the geometrical camera coverage modeling. Finally, the paper carries out a simulation to highlight the variations of the reviewed sensing models. Thus, a typical camera placement scenario is used to evaluate the implementation of the reviewed sensing models.
{"title":"Deterministic vs. Probabilistic Sensing Models for Geometrical Camera Coverage Modeling","authors":"A. A. Altahir, V. Asirvadam, P. Sebastian, N. H. Hamid","doi":"10.1109/ICIAS49414.2021.9642623","DOIUrl":"https://doi.org/10.1109/ICIAS49414.2021.9642623","url":null,"abstract":"Classical literature in sensor networks classifies the sensor detectability into deterministic or probabilistic sensing models. However, sensing models used in camera coverage modeling lack a proper association with respect to the aforementioned classification. This paper focuses on sensing models used to represent the detection in visual sensor coverage. The paper reviews the sensing models taxonomy used in modeling camera coverage and extrapolates a more relevant sensing model classification to be used with the geometrical camera coverage modeling. Finally, the paper carries out a simulation to highlight the variations of the reviewed sensing models. Thus, a typical camera placement scenario is used to evaluate the implementation of the reviewed sensing models.","PeriodicalId":212635,"journal":{"name":"2020 8th International Conference on Intelligent and Advanced Systems (ICIAS)","volume":"123 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122023481","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 : 2021-07-13DOI: 10.1109/ICIAS49414.2021.9642660
S. S. Alabsi, M. Khir, M. Saheed, J. Dennis, A. Y. Ahmed
Contact engineering is a very crucial area of sensor development. This is especially true when dealing with devices at the very small micro and nano scale. Field effect-based sensors implementing nanodevices as channel material are amenable to extreme device miniaturization. Semiconducting carbon nanotubes (sc-CNTs) are exceptionally promising for FET-channel integration to replace bulky silicon technology beyond the dimensions of the short channel effects for their ID ultrathin structure, and superior mechanical and electronic features. However, the inhomogeneous contact between metal electrodes and the sc-CNT is amounting at relatively high contact resistance. In this paper, the effect of variation of certain physical parameters on electronic features was mathematically investigated using Y-Function Method (YFM) equations. Two physical parameters; CNT diameter and contact length, were varied in a range of set values. Results show that lower band gap energy and threshold voltage are obtained with larger CNT diameters, while increasing contact length have a significant reduction effect on contact resistance. In addition, the effect of contact resistance on sensor’s performance in terms of drain current and the transconductance was also demonstrated.
{"title":"Contact Resistance of Metal-CNT Contacts in Field Effect Based Sensors","authors":"S. S. Alabsi, M. Khir, M. Saheed, J. Dennis, A. Y. Ahmed","doi":"10.1109/ICIAS49414.2021.9642660","DOIUrl":"https://doi.org/10.1109/ICIAS49414.2021.9642660","url":null,"abstract":"Contact engineering is a very crucial area of sensor development. This is especially true when dealing with devices at the very small micro and nano scale. Field effect-based sensors implementing nanodevices as channel material are amenable to extreme device miniaturization. Semiconducting carbon nanotubes (sc-CNTs) are exceptionally promising for FET-channel integration to replace bulky silicon technology beyond the dimensions of the short channel effects for their ID ultrathin structure, and superior mechanical and electronic features. However, the inhomogeneous contact between metal electrodes and the sc-CNT is amounting at relatively high contact resistance. In this paper, the effect of variation of certain physical parameters on electronic features was mathematically investigated using Y-Function Method (YFM) equations. Two physical parameters; CNT diameter and contact length, were varied in a range of set values. Results show that lower band gap energy and threshold voltage are obtained with larger CNT diameters, while increasing contact length have a significant reduction effect on contact resistance. In addition, the effect of contact resistance on sensor’s performance in terms of drain current and the transconductance was also demonstrated.","PeriodicalId":212635,"journal":{"name":"2020 8th International Conference on Intelligent and Advanced Systems (ICIAS)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132457727","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 : 2021-07-13DOI: 10.1109/ICIAS49414.2021.9642585
Usman Sammani Sani, D. Lai, O. A. Malik
Wireless communications networks require very accurate design, especially for the 5G networks that is an aggregation of various network types in its Heterogeneous Ultra Dense Network (H-UDN) architecture. The limitation is that path loss models with large prediction scope and high accuracy are not available. In this work we developed a novel architecture for a multiple environment and multiple parameter path loss prediction model using a combination of a Convolutional Neural Network (CNN) and a regressor. The CNN extracts features from 2D satellite images and together with some numerical features are trained to a regressor model. Various machine learning algorithms were used as the regressor and their performances evaluated. A least decrease of 1.0262dB in Root Mean Squared Error (RMSE) was achieved by our model, in comparison to a deep learning architecture in which Multiple Layer Perceptron is used in place of the regressor. We also demonstrated that using an image composed of tiles of satellite images of the receiver and transmitter locations, and other points along the path from transmitter to receiver improves results over using the image at the receiver location only.
{"title":"A Hybrid Combination of a Convolutional Neural Network with a Regression Model for Path Loss Prediction Using Tiles of 2D Satellite Images","authors":"Usman Sammani Sani, D. Lai, O. A. Malik","doi":"10.1109/ICIAS49414.2021.9642585","DOIUrl":"https://doi.org/10.1109/ICIAS49414.2021.9642585","url":null,"abstract":"Wireless communications networks require very accurate design, especially for the 5G networks that is an aggregation of various network types in its Heterogeneous Ultra Dense Network (H-UDN) architecture. The limitation is that path loss models with large prediction scope and high accuracy are not available. In this work we developed a novel architecture for a multiple environment and multiple parameter path loss prediction model using a combination of a Convolutional Neural Network (CNN) and a regressor. The CNN extracts features from 2D satellite images and together with some numerical features are trained to a regressor model. Various machine learning algorithms were used as the regressor and their performances evaluated. A least decrease of 1.0262dB in Root Mean Squared Error (RMSE) was achieved by our model, in comparison to a deep learning architecture in which Multiple Layer Perceptron is used in place of the regressor. We also demonstrated that using an image composed of tiles of satellite images of the receiver and transmitter locations, and other points along the path from transmitter to receiver improves results over using the image at the receiver location only.","PeriodicalId":212635,"journal":{"name":"2020 8th International Conference on Intelligent and Advanced Systems (ICIAS)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132031776","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 : 2021-07-13DOI: 10.1109/ICIAS49414.2021.9642619
O. L. Al-Mahdi, A. Y. Ahmed, J. Dennis, M. H. M. Md Khir
Magnetometers are devices used to measure the magnetic field, however, most commercialized magnetometers are facing several disadvantages. If not being of low sensitivity, the device attains a high cost and high-power consumption. Thus, it is a necessity to mathematically design and model CMOS-MEMS magnetometer which will be able to detect low magnetic fields. A fine simulation using ConventorWare software is applied to validate the designed magnetometer model. In this paper, Lorentz force and an integration of CMOS and MEMS technologies were implemented The designed magnetometer is made in one mode (out-of-plane) to function in one axis (z-axis), and the CMOS-MEMS magnetometer output signal is determined by piezoresistive sensing technique as piezoresistors are connected in full Wheatstone bridge circuit. A 3-D solid model was created and meshed based on the theoretical calculations and data. Simulation results shows that theoretical and simulation results are almost the same, except that resonance frequency is of 11% difference and 11.6% for quality factor. The average percentage difference between calculated and simulated displacement when magnetic field is detected to be of 2.801%.
{"title":"Modeling of a Highly Sensitive Lorentz Force-Based CMOS-MEMS Magnetometer for E-Compass Applications","authors":"O. L. Al-Mahdi, A. Y. Ahmed, J. Dennis, M. H. M. Md Khir","doi":"10.1109/ICIAS49414.2021.9642619","DOIUrl":"https://doi.org/10.1109/ICIAS49414.2021.9642619","url":null,"abstract":"Magnetometers are devices used to measure the magnetic field, however, most commercialized magnetometers are facing several disadvantages. If not being of low sensitivity, the device attains a high cost and high-power consumption. Thus, it is a necessity to mathematically design and model CMOS-MEMS magnetometer which will be able to detect low magnetic fields. A fine simulation using ConventorWare software is applied to validate the designed magnetometer model. In this paper, Lorentz force and an integration of CMOS and MEMS technologies were implemented The designed magnetometer is made in one mode (out-of-plane) to function in one axis (z-axis), and the CMOS-MEMS magnetometer output signal is determined by piezoresistive sensing technique as piezoresistors are connected in full Wheatstone bridge circuit. A 3-D solid model was created and meshed based on the theoretical calculations and data. Simulation results shows that theoretical and simulation results are almost the same, except that resonance frequency is of 11% difference and 11.6% for quality factor. The average percentage difference between calculated and simulated displacement when magnetic field is detected to be of 2.801%.","PeriodicalId":212635,"journal":{"name":"2020 8th International Conference on Intelligent and Advanced Systems (ICIAS)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129897501","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 : 2021-07-13DOI: 10.1109/ICIAS49414.2021.9642705
A. Almarhabi, A. Aljohani, M. Moinuddin
Interest in high-altitude platforms (HAPs) has been increasing recently, especially with the rapid technical development in solar panels’ efficiency, energy storage, antenna design, and lightweight materials for aircraft parts. These factors make high-altitude platforms more applicable in a wide variety of military, security, relief, and civilian applications. In this paper, we suggests using the LoRa system mounted on a HAPS aiming to cover larger areas. Also, we present the link budget of a LoRa operating in the 868 MHz band to accounting the received signal strength at the ground station. The path loss will be calculated based on the elevation angle between the ground station and the HAP for different urban scenarios. Finally, the altitude of the HAP will be optimized to provide maximum radio coverage for each urban environment alongside with different LoRa spreading factors.
{"title":"LoRa and High-Altitude Platforms: Path Loss, Link Budget and Optimum Altitude","authors":"A. Almarhabi, A. Aljohani, M. Moinuddin","doi":"10.1109/ICIAS49414.2021.9642705","DOIUrl":"https://doi.org/10.1109/ICIAS49414.2021.9642705","url":null,"abstract":"Interest in high-altitude platforms (HAPs) has been increasing recently, especially with the rapid technical development in solar panels’ efficiency, energy storage, antenna design, and lightweight materials for aircraft parts. These factors make high-altitude platforms more applicable in a wide variety of military, security, relief, and civilian applications. In this paper, we suggests using the LoRa system mounted on a HAPS aiming to cover larger areas. Also, we present the link budget of a LoRa operating in the 868 MHz band to accounting the received signal strength at the ground station. The path loss will be calculated based on the elevation angle between the ground station and the HAP for different urban scenarios. Finally, the altitude of the HAP will be optimized to provide maximum radio coverage for each urban environment alongside with different LoRa spreading factors.","PeriodicalId":212635,"journal":{"name":"2020 8th International Conference on Intelligent and Advanced Systems (ICIAS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121468775","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 : 2021-07-13DOI: 10.1109/ICIAS49414.2021.9642533
G. S. Ng, David C. H. Bong, S. Cheab, R. Pec, S. Soeung
Chained-response multiband filters offer flexibility in selecting inner-band frequency and bandwidth for each passband which improves the integration of wireless applications into one multiband system. In space applications, dual-mode multiband filters are usually employed due to size and weight reduction. Waveguide filters have low loss and high power handling which makes them suitable to be deployed in space applications. However, the waveguide filter is bulky and heavy, and thus, miniaturization of the filter is crucial. In this paper, a dual-mode dual-band chained-response filter is designed and presented. A three dual-mode cavities rectangular waveguide filter with center frequencies 3.8 GHz and 4 GHz is simulated to verify the design.
{"title":"Dual-Mode Chained-Response Dual-Band Filter","authors":"G. S. Ng, David C. H. Bong, S. Cheab, R. Pec, S. Soeung","doi":"10.1109/ICIAS49414.2021.9642533","DOIUrl":"https://doi.org/10.1109/ICIAS49414.2021.9642533","url":null,"abstract":"Chained-response multiband filters offer flexibility in selecting inner-band frequency and bandwidth for each passband which improves the integration of wireless applications into one multiband system. In space applications, dual-mode multiband filters are usually employed due to size and weight reduction. Waveguide filters have low loss and high power handling which makes them suitable to be deployed in space applications. However, the waveguide filter is bulky and heavy, and thus, miniaturization of the filter is crucial. In this paper, a dual-mode dual-band chained-response filter is designed and presented. A three dual-mode cavities rectangular waveguide filter with center frequencies 3.8 GHz and 4 GHz is simulated to verify the design.","PeriodicalId":212635,"journal":{"name":"2020 8th International Conference on Intelligent and Advanced Systems (ICIAS)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125679341","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 : 2021-07-13DOI: 10.1109/ICIAS49414.2021.9642607
A. Iskanderani, Foyzur Razzaque Tamim, M. Rana, Wasif Ahmed, I. Mehedi, A. Aljohani, Abdul Latif, Shaikh Abdul Latif Shaikh, Mohammad Shorfuzzaman, Farzana Akther, Thangam Palaniswamy, Mahendiran T. Vellingiri
An artificially intelligent wheelchair controlled by voice has been presented in this paper. A smartphone is used as an interface for implementing and automating the voice recognition process by the movement control system. The presented voice-controlled gadget is well suited for some disabled people who are unable to employ the customary joystick-operated wheelchair. The Arduino utilizes DC motors and the microcontroller circuit for supervising the wheelchair’s movement. The voice of the patient that controls the movement of the chair is recognized using graphical commands. The key attribute of this graphical commands control method is that it enables the handicapped patient to steer the wheelchair with a varying speed much the same as a standard joystick. This voice-controlled artificial intelligent wheelchair has shown good results when tried out on actual patients and also has low-performance costs.
{"title":"Voice Controlled Artificial Intelligent Smart Wheelchair","authors":"A. Iskanderani, Foyzur Razzaque Tamim, M. Rana, Wasif Ahmed, I. Mehedi, A. Aljohani, Abdul Latif, Shaikh Abdul Latif Shaikh, Mohammad Shorfuzzaman, Farzana Akther, Thangam Palaniswamy, Mahendiran T. Vellingiri","doi":"10.1109/ICIAS49414.2021.9642607","DOIUrl":"https://doi.org/10.1109/ICIAS49414.2021.9642607","url":null,"abstract":"An artificially intelligent wheelchair controlled by voice has been presented in this paper. A smartphone is used as an interface for implementing and automating the voice recognition process by the movement control system. The presented voice-controlled gadget is well suited for some disabled people who are unable to employ the customary joystick-operated wheelchair. The Arduino utilizes DC motors and the microcontroller circuit for supervising the wheelchair’s movement. The voice of the patient that controls the movement of the chair is recognized using graphical commands. The key attribute of this graphical commands control method is that it enables the handicapped patient to steer the wheelchair with a varying speed much the same as a standard joystick. This voice-controlled artificial intelligent wheelchair has shown good results when tried out on actual patients and also has low-performance costs.","PeriodicalId":212635,"journal":{"name":"2020 8th International Conference on Intelligent and Advanced Systems (ICIAS)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128458699","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：