Pub Date : 2022-08-26DOI: 10.1109/ASIANCON55314.2022.9909137
C.S. Akuskar, S. Kamble
This paper presents the working principal of a custom power device named Dynamic Voltage Restorer (DVR) for the mitigation of power Quality problems specifically voltage sag and swell. At the first glance, structure of DVR is discussed, followed by DVR topologies and classification on the basis of source used. This paper focuses on the simulation of DVR under different load switching conditions for a 400V line. Four different types of loads ranging from 5kW to 20kW are used to deliberately produce voltage sag and swell to assess the behavior and performance of DVR. In this simulation we have used In-Phase compensation topology of DVR using a DC link source of 700V. The simulation is performed using SRF theory for In-phase compensation and for producing VSI triggering sequence, Hysteresis controller is used. All these controllers are thoroughly described in below sections. While simulating, we have done numerous iterations of changing the rating of load, and switching time and periods of normally open or normally closed loads. In each iteration DVR is found to be an effective and efficient approach towards clearing not only the sag but also swell. It is observed that DVR is a fast-acting custom power device which can be installed in much lesser price as compared with other FACTS devices.
{"title":"Simulation of Dynamic Voltage Restorer using SRF theory to Mitigate Voltage Sag and Swell","authors":"C.S. Akuskar, S. Kamble","doi":"10.1109/ASIANCON55314.2022.9909137","DOIUrl":"https://doi.org/10.1109/ASIANCON55314.2022.9909137","url":null,"abstract":"This paper presents the working principal of a custom power device named Dynamic Voltage Restorer (DVR) for the mitigation of power Quality problems specifically voltage sag and swell. At the first glance, structure of DVR is discussed, followed by DVR topologies and classification on the basis of source used. This paper focuses on the simulation of DVR under different load switching conditions for a 400V line. Four different types of loads ranging from 5kW to 20kW are used to deliberately produce voltage sag and swell to assess the behavior and performance of DVR. In this simulation we have used In-Phase compensation topology of DVR using a DC link source of 700V. The simulation is performed using SRF theory for In-phase compensation and for producing VSI triggering sequence, Hysteresis controller is used. All these controllers are thoroughly described in below sections. While simulating, we have done numerous iterations of changing the rating of load, and switching time and periods of normally open or normally closed loads. In each iteration DVR is found to be an effective and efficient approach towards clearing not only the sag but also swell. It is observed that DVR is a fast-acting custom power device which can be installed in much lesser price as compared with other FACTS devices.","PeriodicalId":429704,"journal":{"name":"2022 2nd Asian Conference on Innovation in Technology (ASIANCON)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124899262","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 : 2022-08-26DOI: 10.1109/ASIANCON55314.2022.9909070
David Carmona, Qifeng Xun, Xinyu Jia, Hongliang Ren
Older adults have a frail bone structure and neurological system, making them more prone to falls than the rest of the population. Falls can lead to head and cervical spine injuries, which are critical since they involve life-threatening surgeries or paralysis. The current solution is to build a wearable protection device to absorb the fall-related forces and prevent head and cervical spine injuries. Nevertheless, current wearable protection systems solely shield the lower-limbs. This work’s main idea is to propose a wearable origami device for head and cervical spine protection in falls. The device is foldable, compact, and lightweight; thus, it can be worn by the subject at any point in time. The device uses a Logistic Regression-based fall detection algorithm coupled with a speech recognition system that detects the fall event and deploys the origami structure to shelter the subject’s head and cervical spine. The free-fall experiments show that the origami’s maximum deformation along the vertical direction is 4cm, the Logistic Regression-based algorithm can detect the fall event with an F1-score of 77.45%, and the speech recognition can distinguish the subject’s shouting with an accuracy of 88.5%. Furthermore, the entire system can deploy in less than 800ms, which is adapted to protect subjects from head and cervical spine injuries.
{"title":"A Novel Wearable Origami Device for Head and Cervical Spine Protection in Falls","authors":"David Carmona, Qifeng Xun, Xinyu Jia, Hongliang Ren","doi":"10.1109/ASIANCON55314.2022.9909070","DOIUrl":"https://doi.org/10.1109/ASIANCON55314.2022.9909070","url":null,"abstract":"Older adults have a frail bone structure and neurological system, making them more prone to falls than the rest of the population. Falls can lead to head and cervical spine injuries, which are critical since they involve life-threatening surgeries or paralysis. The current solution is to build a wearable protection device to absorb the fall-related forces and prevent head and cervical spine injuries. Nevertheless, current wearable protection systems solely shield the lower-limbs. This work’s main idea is to propose a wearable origami device for head and cervical spine protection in falls. The device is foldable, compact, and lightweight; thus, it can be worn by the subject at any point in time. The device uses a Logistic Regression-based fall detection algorithm coupled with a speech recognition system that detects the fall event and deploys the origami structure to shelter the subject’s head and cervical spine. The free-fall experiments show that the origami’s maximum deformation along the vertical direction is 4cm, the Logistic Regression-based algorithm can detect the fall event with an F1-score of 77.45%, and the speech recognition can distinguish the subject’s shouting with an accuracy of 88.5%. Furthermore, the entire system can deploy in less than 800ms, which is adapted to protect subjects from head and cervical spine injuries.","PeriodicalId":429704,"journal":{"name":"2022 2nd Asian Conference on Innovation in Technology (ASIANCON)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121369634","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 : 2022-08-26DOI: 10.1109/ASIANCON55314.2022.9908640
A. Bandara, Nuwan Balasuriya, Udesh Oruthota
With the advancement of the wireless communication technologies, parallel relay channels have been very popular. Both non-orthogonal multiple access and physical layer network coding have proven to be a very efficient techniques to provide superior spectral efficiencies in parallel relay systems. Though there are many previous attempts to derive theoretical bit error rate performance of either physical layer network coded or non-orthogonal multiple access based systems, the theoretical bit error rate performance has not been evaluated for physical layer network coded relay channels with non-orthogonal multiple access. We proposed a mechanism to analyse the theoretical bit error rate of a hybrid aforementioned system using quadrature phase shift keying modulation. The approach can be conveniently extended to more generic modulation schemes such as M-array phase shift keying. The derived theoretical bit error rate expressions for different nodes are verified using the Monte-Carlo simulations.
{"title":"Closed-form BER Expressions of QPSK Modulation over NOMA-PNC Parallel Relay Channels","authors":"A. Bandara, Nuwan Balasuriya, Udesh Oruthota","doi":"10.1109/ASIANCON55314.2022.9908640","DOIUrl":"https://doi.org/10.1109/ASIANCON55314.2022.9908640","url":null,"abstract":"With the advancement of the wireless communication technologies, parallel relay channels have been very popular. Both non-orthogonal multiple access and physical layer network coding have proven to be a very efficient techniques to provide superior spectral efficiencies in parallel relay systems. Though there are many previous attempts to derive theoretical bit error rate performance of either physical layer network coded or non-orthogonal multiple access based systems, the theoretical bit error rate performance has not been evaluated for physical layer network coded relay channels with non-orthogonal multiple access. We proposed a mechanism to analyse the theoretical bit error rate of a hybrid aforementioned system using quadrature phase shift keying modulation. The approach can be conveniently extended to more generic modulation schemes such as M-array phase shift keying. The derived theoretical bit error rate expressions for different nodes are verified using the Monte-Carlo simulations.","PeriodicalId":429704,"journal":{"name":"2022 2nd Asian Conference on Innovation in Technology (ASIANCON)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114290779","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In India, charities lack transparency and are difficult to monitor. This negatively affects people’s willingness to contribute. Blockchain technically offers new currency system solutions as the core technology of the Bitcoin system. This white paper proposes a security system based on blockchain technology and discloses design patterns, architectures, and workflows. Internal Blockchain is becoming more and more important in philanthropy. The applicant provides a blockchain-based decentralized donation tracking system. Built on Ethereum and provides full transparency, accountability, and direct access to target recipients [9].
{"title":"Public Fund Care Tracking System based on Blockchain","authors":"Srishti Kumari, Tushar Dixit, Prem Prakash, Vaishali Sharma","doi":"10.1109/ASIANCON55314.2022.9908651","DOIUrl":"https://doi.org/10.1109/ASIANCON55314.2022.9908651","url":null,"abstract":"In India, charities lack transparency and are difficult to monitor. This negatively affects people’s willingness to contribute. Blockchain technically offers new currency system solutions as the core technology of the Bitcoin system. This white paper proposes a security system based on blockchain technology and discloses design patterns, architectures, and workflows. Internal Blockchain is becoming more and more important in philanthropy. The applicant provides a blockchain-based decentralized donation tracking system. Built on Ethereum and provides full transparency, accountability, and direct access to target recipients [9].","PeriodicalId":429704,"journal":{"name":"2022 2nd Asian Conference on Innovation in Technology (ASIANCON)","volume":"691 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132652581","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 : 2022-08-26DOI: 10.1109/ASIANCON55314.2022.9909008
Dhiraj Shah, Megh Dedhia, R. Desai, Uditi Namdev, Pratik Kanani
With the advent of modern technology and the subsequent rise of efficient storage devices we are witnessing a rise in the number of media that is available to us. Among the most common media, the only one that takes up huge spaces on physical storage devices are videos. The primary reason for that is the addition of higher resolution videos and a greater frame rate. It is quite necessary to come up with summarisation techniques that help us understand the most important parts of the video. Apart from that, summarisation also helps us skip the non-essential parts of the video. This technology can be utilised to cut short on the time wasted on searching through the most relevant parts of the video. This paper tries to focus on the fundamental problem of summarising long videos and converting them into shorter sections that can effectively convey the same content if one were to see the entire video. Introducing timestamps also helps the viewer in jumping to the crucial events of the video. This paper makes use of deep learning algorithms such as Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN). These serve as a means of comparing different frames and generating end results.
{"title":"Video to Text Summarisation and Timestamp Generation to Detect Important Events","authors":"Dhiraj Shah, Megh Dedhia, R. Desai, Uditi Namdev, Pratik Kanani","doi":"10.1109/ASIANCON55314.2022.9909008","DOIUrl":"https://doi.org/10.1109/ASIANCON55314.2022.9909008","url":null,"abstract":"With the advent of modern technology and the subsequent rise of efficient storage devices we are witnessing a rise in the number of media that is available to us. Among the most common media, the only one that takes up huge spaces on physical storage devices are videos. The primary reason for that is the addition of higher resolution videos and a greater frame rate. It is quite necessary to come up with summarisation techniques that help us understand the most important parts of the video. Apart from that, summarisation also helps us skip the non-essential parts of the video. This technology can be utilised to cut short on the time wasted on searching through the most relevant parts of the video. This paper tries to focus on the fundamental problem of summarising long videos and converting them into shorter sections that can effectively convey the same content if one were to see the entire video. Introducing timestamps also helps the viewer in jumping to the crucial events of the video. This paper makes use of deep learning algorithms such as Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN). These serve as a means of comparing different frames and generating end results.","PeriodicalId":429704,"journal":{"name":"2022 2nd Asian Conference on Innovation in Technology (ASIANCON)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133227557","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 : 2022-08-26DOI: 10.1109/ASIANCON55314.2022.9908777
B. Kumari, K. Vaisakh, N. Sahoo
A modified differential evolution (MDE) algorithm is proposed in this paper. This algorithm solves the problem of expected security cost dynamic optimal power flow (ESCDOPF). Additionally, to increase security and dependability, flexible resources (FRs) i.e., Demand Response (DR), Battery Energy Storage System (BESS), High Voltage Direct Current (HVDC) linkages, etc., have been incorporated into the ESCDOPF problem. These flexible resources serve as a preventive control measure to enhance the energy efficiency of the system as a whole, resulting in a substantial decrease in fuel costs, power losses, power consumption and cost savings for utilities. Several case studies are presented, emphasising the role of flexible resources in lowering operational costs while maintaining an acceptable power balance by adhering to voltage and line loading constraints. The efficacy of the proposed MDE algorithm is tested on a modified IEEE 30 bus system in the MATLAB software environment. Results show that the ESCDOPF model with flexible resources offers secure, reliable, and better economic operations in scenarios like AC and multi-terminal AC-DC systems under normal and post-contingency conditions.
{"title":"A Modified DE Algorithm Based Solution for Expected Security Cost Problem of Power Grids with Flexible Resources","authors":"B. Kumari, K. Vaisakh, N. Sahoo","doi":"10.1109/ASIANCON55314.2022.9908777","DOIUrl":"https://doi.org/10.1109/ASIANCON55314.2022.9908777","url":null,"abstract":"A modified differential evolution (MDE) algorithm is proposed in this paper. This algorithm solves the problem of expected security cost dynamic optimal power flow (ESCDOPF). Additionally, to increase security and dependability, flexible resources (FRs) i.e., Demand Response (DR), Battery Energy Storage System (BESS), High Voltage Direct Current (HVDC) linkages, etc., have been incorporated into the ESCDOPF problem. These flexible resources serve as a preventive control measure to enhance the energy efficiency of the system as a whole, resulting in a substantial decrease in fuel costs, power losses, power consumption and cost savings for utilities. Several case studies are presented, emphasising the role of flexible resources in lowering operational costs while maintaining an acceptable power balance by adhering to voltage and line loading constraints. The efficacy of the proposed MDE algorithm is tested on a modified IEEE 30 bus system in the MATLAB software environment. Results show that the ESCDOPF model with flexible resources offers secure, reliable, and better economic operations in scenarios like AC and multi-terminal AC-DC systems under normal and post-contingency conditions.","PeriodicalId":429704,"journal":{"name":"2022 2nd Asian Conference on Innovation in Technology (ASIANCON)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133279478","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 : 2022-08-26DOI: 10.1109/ASIANCON55314.2022.9909434
Anagha Gharat, G. Phadke
The use of information technology has become a common place in healthcare. The increase in the number of patients in need of ongoing care is a responsibility for medical professionals. Today the patient monitoring system and wireless medical equipment are used to monitor patients, but nevertheless patients have to stay inside the wireless coverage area. This real-time information presents an ongoing challenge to the emergency community. In these emergencies as unconscious and unaccompanied patients, giving emergency physicians or doctor an accurate and updated medical history of a patient can be the difference between his/her life and death[1]. In this smart health card project patient we are tracking and monitoring of patient history. The system monitors patient’s vital signs such as past history, blood group, past medicine history bills. The patient data is stored in one RFID card. In this smart card project we are using RFID technology. This RFID technology is currently very useful in health care system due to its increased performance, lower cost, high efficiency and easy-to-use skills. Physicians can track all information about their patients using a dedicated system or model. Also, they can ask using an established web server. The integration of smart card system used in existing automation system should be important part of the hospital management as far as it benefits both the hospital management and patients.
{"title":"Smart Medical Health Card for Hospital Management","authors":"Anagha Gharat, G. Phadke","doi":"10.1109/ASIANCON55314.2022.9909434","DOIUrl":"https://doi.org/10.1109/ASIANCON55314.2022.9909434","url":null,"abstract":"The use of information technology has become a common place in healthcare. The increase in the number of patients in need of ongoing care is a responsibility for medical professionals. Today the patient monitoring system and wireless medical equipment are used to monitor patients, but nevertheless patients have to stay inside the wireless coverage area. This real-time information presents an ongoing challenge to the emergency community. In these emergencies as unconscious and unaccompanied patients, giving emergency physicians or doctor an accurate and updated medical history of a patient can be the difference between his/her life and death[1]. In this smart health card project patient we are tracking and monitoring of patient history. The system monitors patient’s vital signs such as past history, blood group, past medicine history bills. The patient data is stored in one RFID card. In this smart card project we are using RFID technology. This RFID technology is currently very useful in health care system due to its increased performance, lower cost, high efficiency and easy-to-use skills. Physicians can track all information about their patients using a dedicated system or model. Also, they can ask using an established web server. The integration of smart card system used in existing automation system should be important part of the hospital management as far as it benefits both the hospital management and patients.","PeriodicalId":429704,"journal":{"name":"2022 2nd Asian Conference on Innovation in Technology (ASIANCON)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131794220","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 : 2022-08-26DOI: 10.1109/ASIANCON55314.2022.9908965
John Robert D. Atienza, Rowell M. Hernandez, Ria L. Castillo, Noelyn M. De Jesus, Lorissa Joana E. Buenas
In this paper, web-based career track recommender system was used to guide guidance counselor in assisting their students in choosing an appropriate career track. Many junior high school students struggled with track uncertainty and were perplexed when it came to deciding whether senior high school career track was appropriate and suitable for them. Increased in drop-out rate is also a bigger concern in the country, and students switching to another program can be a waste of government funds intended for free tuition at state universities. Given the current state of K-12 evaluation, adequate counseling of guidance counselor in the selection of relevant career tracks should be undertaken. This study included 1500 students from the first to third grades of the K-12 curriculum, and their grades and socio-demographic profiles were used as factors in determining their academic strand in Senior High School with the utilization of Deep Neural Network. The study's findings suggest that the DNN algorithm predicts the academic strand of students quite well with a prediction accuracy of 83.11%. Using the devised approach, guidance counselors' work became more efficient in dealing with student concerns. With the use of the DNN technique, it is concluded that the recommender system acts as a decision tool for counselors in advising their students to select which Senior High School track is appropriate for them. The web-based career track recommender system has effectively integrated the DNN predictive model.
{"title":"A Deep Neural Network in a Web-based Career Track Recommender System for Lower Secondary Education","authors":"John Robert D. Atienza, Rowell M. Hernandez, Ria L. Castillo, Noelyn M. De Jesus, Lorissa Joana E. Buenas","doi":"10.1109/ASIANCON55314.2022.9908965","DOIUrl":"https://doi.org/10.1109/ASIANCON55314.2022.9908965","url":null,"abstract":"In this paper, web-based career track recommender system was used to guide guidance counselor in assisting their students in choosing an appropriate career track. Many junior high school students struggled with track uncertainty and were perplexed when it came to deciding whether senior high school career track was appropriate and suitable for them. Increased in drop-out rate is also a bigger concern in the country, and students switching to another program can be a waste of government funds intended for free tuition at state universities. Given the current state of K-12 evaluation, adequate counseling of guidance counselor in the selection of relevant career tracks should be undertaken. This study included 1500 students from the first to third grades of the K-12 curriculum, and their grades and socio-demographic profiles were used as factors in determining their academic strand in Senior High School with the utilization of Deep Neural Network. The study's findings suggest that the DNN algorithm predicts the academic strand of students quite well with a prediction accuracy of 83.11%. Using the devised approach, guidance counselors' work became more efficient in dealing with student concerns. With the use of the DNN technique, it is concluded that the recommender system acts as a decision tool for counselors in advising their students to select which Senior High School track is appropriate for them. The web-based career track recommender system has effectively integrated the DNN predictive model.","PeriodicalId":429704,"journal":{"name":"2022 2nd Asian Conference on Innovation in Technology (ASIANCON)","volume":"164 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133091173","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 : 2022-08-26DOI: 10.1109/ASIANCON55314.2022.9908807
Blesson Easo Varghese, A. Swarup
Proportional Integral and Derivative (PID) control is a widely used control technique that can be used almost in all control applications. However, the practical implementation of the most often used digital PID control loop involves several aspects such as input signal sampling, Nyquist criterion, programming the control system on a microcontroller platform. On the other hand, processing of control signals on an analog continuous-time hardware platform overcomes the complexity of digital control synthesis, inaccuracies arising out of conversions between continuous and discrete time domains and are very much handy for simple control system design. Being aware that many electronic components can mimic the performance of real-world physical systems, this paper presents the design of an analog PID control system directly on the actual hardware to be used, with only limited electronic components and its application to a joystick controller for controlling the altitude of a quadcopter under varying load conditions and uncertainties. As the simulation of the design is carried out on the actual electronic circuit, various parameters like constraints, and propagation delay are considered from the initial stage of design, thereby giving a more practical, simple and straight forward approach.
{"title":"Novel Op-Amp based Hardware Design of Analog PID Circuit to Control the Altitude of Quadcopter","authors":"Blesson Easo Varghese, A. Swarup","doi":"10.1109/ASIANCON55314.2022.9908807","DOIUrl":"https://doi.org/10.1109/ASIANCON55314.2022.9908807","url":null,"abstract":"Proportional Integral and Derivative (PID) control is a widely used control technique that can be used almost in all control applications. However, the practical implementation of the most often used digital PID control loop involves several aspects such as input signal sampling, Nyquist criterion, programming the control system on a microcontroller platform. On the other hand, processing of control signals on an analog continuous-time hardware platform overcomes the complexity of digital control synthesis, inaccuracies arising out of conversions between continuous and discrete time domains and are very much handy for simple control system design. Being aware that many electronic components can mimic the performance of real-world physical systems, this paper presents the design of an analog PID control system directly on the actual hardware to be used, with only limited electronic components and its application to a joystick controller for controlling the altitude of a quadcopter under varying load conditions and uncertainties. As the simulation of the design is carried out on the actual electronic circuit, various parameters like constraints, and propagation delay are considered from the initial stage of design, thereby giving a more practical, simple and straight forward approach.","PeriodicalId":429704,"journal":{"name":"2022 2nd Asian Conference on Innovation in Technology (ASIANCON)","volume":"85 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134004704","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 : 2022-08-26DOI: 10.1109/ASIANCON55314.2022.9908828
S. Jothi, S. Anita, S. Sivakumar
Parkinson’s Disease (PD) is a kind of neurodegenerative disorder. There is an imperative need for identifying the early stage of disease as it keeps on affecting the human mid-brain. The incipient level of the disorder is identified with the help of sixteen volume rendering image slices (VRIS) which are taken from a Single Photon Emission Computed Tomography (SPECT) image as a novel tool. These image slices are selected on account of striated intake from the striatum. The shape and texture attributes of segmented VRIS and Striatal Binding Ratio (SBR) values are considered as a feature set for the analysis. These two different features (attribute) are synthesized to identify the difference between Healthy Control (HC) and the early stage of Parkinson’s disease (EPD). The various classifier models like Extreme Learning Machine (ELM), Support Vector Machine (SVM) and Artificial Neural Network (ANN) with different kernel functions are solely designed for the study the impact of single and multi-features to identify EPD. The performance of the present work is investigated and found that the Polynomial ELM offers an appreciated outcome with reference to the accuracy of 99.3%. The outcome has been compared with the previous work to underline the efficacy of the present work. Hence, the present work could be of a great aid to the experts in neurology to protect the neurons from the impairment.
{"title":"Early stage of Parkinson’s Disease Identification Using Advanced Image Processing Techniques","authors":"S. Jothi, S. Anita, S. Sivakumar","doi":"10.1109/ASIANCON55314.2022.9908828","DOIUrl":"https://doi.org/10.1109/ASIANCON55314.2022.9908828","url":null,"abstract":"Parkinson’s Disease (PD) is a kind of neurodegenerative disorder. There is an imperative need for identifying the early stage of disease as it keeps on affecting the human mid-brain. The incipient level of the disorder is identified with the help of sixteen volume rendering image slices (VRIS) which are taken from a Single Photon Emission Computed Tomography (SPECT) image as a novel tool. These image slices are selected on account of striated intake from the striatum. The shape and texture attributes of segmented VRIS and Striatal Binding Ratio (SBR) values are considered as a feature set for the analysis. These two different features (attribute) are synthesized to identify the difference between Healthy Control (HC) and the early stage of Parkinson’s disease (EPD). The various classifier models like Extreme Learning Machine (ELM), Support Vector Machine (SVM) and Artificial Neural Network (ANN) with different kernel functions are solely designed for the study the impact of single and multi-features to identify EPD. The performance of the present work is investigated and found that the Polynomial ELM offers an appreciated outcome with reference to the accuracy of 99.3%. The outcome has been compared with the previous work to underline the efficacy of the present work. Hence, the present work could be of a great aid to the experts in neurology to protect the neurons from the impairment.","PeriodicalId":429704,"journal":{"name":"2022 2nd Asian Conference on Innovation in Technology (ASIANCON)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117149512","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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