Pub Date : 2021-11-27DOI: 10.1109/i-PACT52855.2021.9696782
Pretty Mary Tom, J. Edward
One of the vital needs for the distribution systems is the Low-Voltage-Ride-through (LVRT) capability which has to meet the grid code standards. The capability of the distribution system to stay connected even during voltage sag issues is termed as LVRT. A solar-wind-battery based hybrid renewable energy system (HRES) for microgrid applications is considered in this work which enables the use of renewable energy resources effectively, each and every system of HRES is controlled exclusively. The output of PV is boosted with the aid of a LUO converter which is controlled by a closed loop control based on Crow Search Algorithm. The wind energy conversion system utilizes doubly-fed-induction generator (DFIG), the output of which is converted to DC by a PWM rectifier and this is controlled by a PI controller. The battery system uses a bidirectional Buck-Boost converter and the state of charge (SOC) of the battery is monitored by artificial neural network (ANN). The key aspect of this work is the estimation of LVRT and this is accomplished by Signal processing approach based Deep Neural Network (DNN). Notch filter is used for pre-processing by which the noises are removed, Hilbert transform is used for segmentation and SIFT for feature extraction. The trained and test data are classified with DNN classifier from which the LVRT is estimated. The proposed strategy is implemented in MATLAB and the results were attained. The grid current THD is observed as 4.72% and the LVRT is estimated at 2.6sec.
{"title":"Low Voltage Ride Through Estimation in Microgrid using Deep Neural Network","authors":"Pretty Mary Tom, J. Edward","doi":"10.1109/i-PACT52855.2021.9696782","DOIUrl":"https://doi.org/10.1109/i-PACT52855.2021.9696782","url":null,"abstract":"One of the vital needs for the distribution systems is the Low-Voltage-Ride-through (LVRT) capability which has to meet the grid code standards. The capability of the distribution system to stay connected even during voltage sag issues is termed as LVRT. A solar-wind-battery based hybrid renewable energy system (HRES) for microgrid applications is considered in this work which enables the use of renewable energy resources effectively, each and every system of HRES is controlled exclusively. The output of PV is boosted with the aid of a LUO converter which is controlled by a closed loop control based on Crow Search Algorithm. The wind energy conversion system utilizes doubly-fed-induction generator (DFIG), the output of which is converted to DC by a PWM rectifier and this is controlled by a PI controller. The battery system uses a bidirectional Buck-Boost converter and the state of charge (SOC) of the battery is monitored by artificial neural network (ANN). The key aspect of this work is the estimation of LVRT and this is accomplished by Signal processing approach based Deep Neural Network (DNN). Notch filter is used for pre-processing by which the noises are removed, Hilbert transform is used for segmentation and SIFT for feature extraction. The trained and test data are classified with DNN classifier from which the LVRT is estimated. The proposed strategy is implemented in MATLAB and the results were attained. The grid current THD is observed as 4.72% and the LVRT is estimated at 2.6sec.","PeriodicalId":335956,"journal":{"name":"2021 Innovations in Power and Advanced Computing Technologies (i-PACT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130776804","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 : 2021-11-27DOI: 10.1109/i-PACT52855.2021.9696801
J. J. Imaculate, Adduri Aishwarya, K. G., S. A. Sampson
Gas sensors have become indispensable, not just in potentially hazardous industries, but also for the everyday lives of ordinary citizens. In this work, Quartz Tuning Forks (QTFs) modified with nanostructured polymer wires were simulated using COMSOL Multiphysics to investigate their feasibility as gas sensors. Different polymers were used to functionalize the QTFs and a study was done to analyze which polymer is best suited for use as potential Volatile Organic Compounds (VOCs) sensors. The suitability of the polymer was reflected in the shift in eigenfrequency of the system. The relationship between properties of the polymer and the frequency response of the polymer functionalized QTF system when the QTF was both mass loaded and spring-loaded with different polymers, was studied.
{"title":"Investigation of Polymer Functionalized QTFs as Potential Gas Sensors Using COMSOL Multiphysics","authors":"J. J. Imaculate, Adduri Aishwarya, K. G., S. A. Sampson","doi":"10.1109/i-PACT52855.2021.9696801","DOIUrl":"https://doi.org/10.1109/i-PACT52855.2021.9696801","url":null,"abstract":"Gas sensors have become indispensable, not just in potentially hazardous industries, but also for the everyday lives of ordinary citizens. In this work, Quartz Tuning Forks (QTFs) modified with nanostructured polymer wires were simulated using COMSOL Multiphysics to investigate their feasibility as gas sensors. Different polymers were used to functionalize the QTFs and a study was done to analyze which polymer is best suited for use as potential Volatile Organic Compounds (VOCs) sensors. The suitability of the polymer was reflected in the shift in eigenfrequency of the system. The relationship between properties of the polymer and the frequency response of the polymer functionalized QTF system when the QTF was both mass loaded and spring-loaded with different polymers, was studied.","PeriodicalId":335956,"journal":{"name":"2021 Innovations in Power and Advanced Computing Technologies (i-PACT)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129890188","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 : 2021-11-27DOI: 10.1109/i-PACT52855.2021.9696930
B. K. P., Derick Mathew, R. C, R. M.
Replay attack is vulnerable to automatic speaker verification system, where the frauds get the access by replaying the pre-recorded speech utterances of the genuine speakers. In this proposed work, we mainly concentrated on high frequency band and classification part. This paper shows the importance of higher frequency band (6 kHz to 8 kHz). The huge difference between genuine and spoofed speech spectrum is also explained which is caused due to imperfection occurred by using multiple anti-aliasing filters. Alongside, Constant-Q Cepstral Coefficients (CQCC) technique is used to extract magnitude discrimination power features set to detect the replayed spoof attack for speaker verification. Further the ELM based BiLSTM is proposed to improve the system performance. The proposed framework shows better results of Equal Error Rate (EER) to 05.26% for development set and 8.44% for evaluation set.
{"title":"New Approach to Detect Replay Attack for Speaker Verification System Using High Frequency Features and ELM Based BiLSTM","authors":"B. K. P., Derick Mathew, R. C, R. M.","doi":"10.1109/i-PACT52855.2021.9696930","DOIUrl":"https://doi.org/10.1109/i-PACT52855.2021.9696930","url":null,"abstract":"Replay attack is vulnerable to automatic speaker verification system, where the frauds get the access by replaying the pre-recorded speech utterances of the genuine speakers. In this proposed work, we mainly concentrated on high frequency band and classification part. This paper shows the importance of higher frequency band (6 kHz to 8 kHz). The huge difference between genuine and spoofed speech spectrum is also explained which is caused due to imperfection occurred by using multiple anti-aliasing filters. Alongside, Constant-Q Cepstral Coefficients (CQCC) technique is used to extract magnitude discrimination power features set to detect the replayed spoof attack for speaker verification. Further the ELM based BiLSTM is proposed to improve the system performance. The proposed framework shows better results of Equal Error Rate (EER) to 05.26% for development set and 8.44% for evaluation set.","PeriodicalId":335956,"journal":{"name":"2021 Innovations in Power and Advanced Computing Technologies (i-PACT)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122243994","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 : 2021-11-27DOI: 10.1109/i-PACT52855.2021.9696916
Jing En Chin, R. Tan, Jian Teck Hau
The development of the electric railway system in Malaysia is growing rapidly since 1995. The use of a twelve-pulse rectifier to convert AC to DC supply in TPSS will generate the 11th and 13th harmonic current to the distribution lines. In this paper, a DC urban electric railway system is modeled and its harmonic analysis is discussed. It was found that the harmonic current distortion caused by the TPSS has exceeded the TDD and IHDi limits based on IEEE 519–2014 standard. Thus, the harmonic filter is chosen to mitigate this harmonic problem. The single-tuned harmonic passive filters are designed as they are more cost-effective, simple to design, and have high flexibility. The three-dimensional perspective of impedance, quality factor, and reactive power is analyzed to reduce the harmonic, improve the power factor, and prevent interharmonics at a low cost. The reactive power and quality factor selected based on the three-dimensional perspective are used to determine the capacitance, inductance, and resistance of the single-tuned harmonic passive filter. In addition, the graph of impedance against harmonic order and the bode diagram are plotted to analyze the characteristics of the filters. The results show that the designed filters can reduce the TDD to 1.97% and below. Besides, the 11th IHDi is reduced to 1.94% and below while the 13th IHDi is reduced to 1.97% and below. Therefore, the harmonic current distortion is complying with the IEEE 519-2014 standard limits with the presented single-tuned harmonic passive filters.
{"title":"Design of Single-Tuned Harmonic Passive Filters for DC Electric Railway Traction Power Supply System","authors":"Jing En Chin, R. Tan, Jian Teck Hau","doi":"10.1109/i-PACT52855.2021.9696916","DOIUrl":"https://doi.org/10.1109/i-PACT52855.2021.9696916","url":null,"abstract":"The development of the electric railway system in Malaysia is growing rapidly since 1995. The use of a twelve-pulse rectifier to convert AC to DC supply in TPSS will generate the 11th and 13th harmonic current to the distribution lines. In this paper, a DC urban electric railway system is modeled and its harmonic analysis is discussed. It was found that the harmonic current distortion caused by the TPSS has exceeded the TDD and IHDi limits based on IEEE 519–2014 standard. Thus, the harmonic filter is chosen to mitigate this harmonic problem. The single-tuned harmonic passive filters are designed as they are more cost-effective, simple to design, and have high flexibility. The three-dimensional perspective of impedance, quality factor, and reactive power is analyzed to reduce the harmonic, improve the power factor, and prevent interharmonics at a low cost. The reactive power and quality factor selected based on the three-dimensional perspective are used to determine the capacitance, inductance, and resistance of the single-tuned harmonic passive filter. In addition, the graph of impedance against harmonic order and the bode diagram are plotted to analyze the characteristics of the filters. The results show that the designed filters can reduce the TDD to 1.97% and below. Besides, the 11th IHDi is reduced to 1.94% and below while the 13th IHDi is reduced to 1.97% and below. Therefore, the harmonic current distortion is complying with the IEEE 519-2014 standard limits with the presented single-tuned harmonic passive filters.","PeriodicalId":335956,"journal":{"name":"2021 Innovations in Power and Advanced Computing Technologies (i-PACT)","volume":"355 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126687898","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 : 2021-11-27DOI: 10.1109/i-PACT52855.2021.9696741
Kameswara Satya Prakash Oruganti, C. Vaithilingam, Gowthamraj Rajendran, A. Ramasamy, R. Gamboa
The study presented in this paper deals with the evaluation of maximum power point tracking (MPPT) algorithms to nullify the effect of varying irradiance and temperature inputs given to the solar photovoltaic (PV) powered standalone electric vehicle (EV) chargers. Three different MPPT algorithms, namely perturb and observe (PO), particle swarm optimization (PSO), and cuckoo search (CA) algorithm, are designed and the settling time to reach steady-state by overcoming the effect of variable irradiance and temperature along with partial shading is analyzed. In this analysis, four different conditions are introduced: constant irradiation and constant temperature, which is an ideal case followed by change in irradiation with constant temperature, constant irradiance with temperature change, and finally, both varying irradiance and temperature. Among the algorithms, the CA algorithm tracks to the maximum power of 19.9kW, 12.8kW, 12.3kW, and 19.42kW respectively for all conditions. The analysis confirmed that the CA algorithm remains superior with 24%, 67%, 79%, and 40% of a maximum power compared to others by achieving the steady state at 0.2 seconds.
{"title":"Performance Evaluation of Maximum Power Point Algorithms for Annulling the Effect of Irradiance and Temperature for Standalone Electric Vehicle Charger","authors":"Kameswara Satya Prakash Oruganti, C. Vaithilingam, Gowthamraj Rajendran, A. Ramasamy, R. Gamboa","doi":"10.1109/i-PACT52855.2021.9696741","DOIUrl":"https://doi.org/10.1109/i-PACT52855.2021.9696741","url":null,"abstract":"The study presented in this paper deals with the evaluation of maximum power point tracking (MPPT) algorithms to nullify the effect of varying irradiance and temperature inputs given to the solar photovoltaic (PV) powered standalone electric vehicle (EV) chargers. Three different MPPT algorithms, namely perturb and observe (PO), particle swarm optimization (PSO), and cuckoo search (CA) algorithm, are designed and the settling time to reach steady-state by overcoming the effect of variable irradiance and temperature along with partial shading is analyzed. In this analysis, four different conditions are introduced: constant irradiation and constant temperature, which is an ideal case followed by change in irradiation with constant temperature, constant irradiance with temperature change, and finally, both varying irradiance and temperature. Among the algorithms, the CA algorithm tracks to the maximum power of 19.9kW, 12.8kW, 12.3kW, and 19.42kW respectively for all conditions. The analysis confirmed that the CA algorithm remains superior with 24%, 67%, 79%, and 40% of a maximum power compared to others by achieving the steady state at 0.2 seconds.","PeriodicalId":335956,"journal":{"name":"2021 Innovations in Power and Advanced Computing Technologies (i-PACT)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125652652","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 : 2021-11-27DOI: 10.1109/i-PACT52855.2021.9696899
S. N, Allirani S
As the current scenario of research is on Permanent Magnet Synchronous Motor (PMSM) which play a vital role in Electric Vehicles (EV). This paper emphasize on 2.2 kW PMSM suitable for EV applications. The machine geometry is constructed in RMxpert based on the theoretical calculations and validated. The performance of the validated machine has been simulated and the results are presented. Further Finite Element Analysis of PMSM is carried out using ANSYS Maxwell 2D and the flux distribution in stator and permanent magnet has been presented and analyzed. The machine performance under loaded condition is analyzed for enhancement.
{"title":"Investigations on Finite Element Analysis of Permanent Magnet Synchronous Motor Using ANSYS RMxprt and Maxwell for Electric Vehicle Applications","authors":"S. N, Allirani S","doi":"10.1109/i-PACT52855.2021.9696899","DOIUrl":"https://doi.org/10.1109/i-PACT52855.2021.9696899","url":null,"abstract":"As the current scenario of research is on Permanent Magnet Synchronous Motor (PMSM) which play a vital role in Electric Vehicles (EV). This paper emphasize on 2.2 kW PMSM suitable for EV applications. The machine geometry is constructed in RMxpert based on the theoretical calculations and validated. The performance of the validated machine has been simulated and the results are presented. Further Finite Element Analysis of PMSM is carried out using ANSYS Maxwell 2D and the flux distribution in stator and permanent magnet has been presented and analyzed. The machine performance under loaded condition is analyzed for enhancement.","PeriodicalId":335956,"journal":{"name":"2021 Innovations in Power and Advanced Computing Technologies (i-PACT)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127903679","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 : 2021-11-27DOI: 10.1109/i-PACT52855.2021.9696991
M. Saravanan, G. K. Rajini
Recently industries that possess electrical machines mainly focuses on machine monitoring which involves many methods. Some of the methods are chemical, thermal and vibration monitoring. These methods require high accuracy sensors but in this case of vibration monitoring high accuracy sensors are not required which is emphasized in this work. The new approach is introduced to recognize the machine age based on vibration signal and the results are extracted by using signal processing techniques. Generally old machine creates huge vibration but in new machine vibrations are less observed. Our algorithm and techniques will easily recognize the machine type. In this paper, DWT (Discrete Wavelet Transform) and DWPT (Discrete Wavelet Packet Transform) used for recognizing old and new machines. Using these transform domain techniques, global threshold, threshold coefficient and statistical features like (entropy) were computed. From the results, it is convenient to recognize the machine's age and its lifetime.
{"title":"Vibration Analysis of Electrical Machine","authors":"M. Saravanan, G. K. Rajini","doi":"10.1109/i-PACT52855.2021.9696991","DOIUrl":"https://doi.org/10.1109/i-PACT52855.2021.9696991","url":null,"abstract":"Recently industries that possess electrical machines mainly focuses on machine monitoring which involves many methods. Some of the methods are chemical, thermal and vibration monitoring. These methods require high accuracy sensors but in this case of vibration monitoring high accuracy sensors are not required which is emphasized in this work. The new approach is introduced to recognize the machine age based on vibration signal and the results are extracted by using signal processing techniques. Generally old machine creates huge vibration but in new machine vibrations are less observed. Our algorithm and techniques will easily recognize the machine type. In this paper, DWT (Discrete Wavelet Transform) and DWPT (Discrete Wavelet Packet Transform) used for recognizing old and new machines. Using these transform domain techniques, global threshold, threshold coefficient and statistical features like (entropy) were computed. From the results, it is convenient to recognize the machine's age and its lifetime.","PeriodicalId":335956,"journal":{"name":"2021 Innovations in Power and Advanced Computing Technologies (i-PACT)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129152692","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 : 2021-11-27DOI: 10.1109/i-PACT52855.2021.9696553
S. Devi, Amirthavarshini D, Anbukani R S, Harini T K
Due to the pandemic by the spread of the COVID virus, there has been a mandatory demand to screen patients. Predominantly RTPCR test is used to detect the virus. The RTPCR test is the most commonly used technique to detect COVID - 19 viruses. The test takes a minimum of 12 hours which is time-consuming and might put a patient's life at stake. This detection method for COVID screening is said to have a false detection rate. CT scans have been used for COVID-19 screening and using CT has several challenges especially since their radiation dose is considerably higher than x-rays. Hence, CXRs are a better choice for the initial assessment. Detection of COVID-19 pneumonia is a fine-grained problem as doctors cannot detect it just by looking at the x-ray images. Moreover, the radiologists visit many patients every day and the diagnosis process take significant time, which may increase errors in screening notably. Therefore, a medical decision support system for screening COVID-19 patients is of utmost importance. Our proposed system is a web application that helps to screen COVID-19 patients effectively.
{"title":"A Medical Decision Support System to Detect Covid-19 Pneumonia Using CNN","authors":"S. Devi, Amirthavarshini D, Anbukani R S, Harini T K","doi":"10.1109/i-PACT52855.2021.9696553","DOIUrl":"https://doi.org/10.1109/i-PACT52855.2021.9696553","url":null,"abstract":"Due to the pandemic by the spread of the COVID virus, there has been a mandatory demand to screen patients. Predominantly RTPCR test is used to detect the virus. The RTPCR test is the most commonly used technique to detect COVID - 19 viruses. The test takes a minimum of 12 hours which is time-consuming and might put a patient's life at stake. This detection method for COVID screening is said to have a false detection rate. CT scans have been used for COVID-19 screening and using CT has several challenges especially since their radiation dose is considerably higher than x-rays. Hence, CXRs are a better choice for the initial assessment. Detection of COVID-19 pneumonia is a fine-grained problem as doctors cannot detect it just by looking at the x-ray images. Moreover, the radiologists visit many patients every day and the diagnosis process take significant time, which may increase errors in screening notably. Therefore, a medical decision support system for screening COVID-19 patients is of utmost importance. Our proposed system is a web application that helps to screen COVID-19 patients effectively.","PeriodicalId":335956,"journal":{"name":"2021 Innovations in Power and Advanced Computing Technologies (i-PACT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116579923","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 : 2021-11-27DOI: 10.1109/i-PACT52855.2021.9697049
Shreyas V Kuradagi, Kritika Arora, P. Mahalakshmi, S. Balaganapathy, A. Sharmila
Usually movement of goods from one location to another requires human input. This is a tiring job in industries where goods are picked and placed in bulk and the weight of goods to be carried is beyond human potential. Automation industry can play a large role in reducing the human labour and making the process more efficient. In this paper, we put forward a solution to this problem using environment friendly automation technology. We use NodeMCU as the connection between the system and the device through the internet. Our goal is to reduce human interference in hazardous work environment and place with oxygen deficiency through an app controlled 3D printed robotic arm. This arm can be controlled through an android application from anywhere around the globe and can be programmed to perform basic tasks. Furthermore, we are using 3D printing technology so as to eliminate the requirements of production moulds thereby reducing the cost of the arm and making it more feasible. Another objective of this Project was to make the Arm as environmentally safe as possible. Hence, a solar panel will be connected to the Chassis. This ensures that the primary source of power for the Arm is solar energy which is a renewable resource. In addition to this, the plastic which will be used to 3D print the individual parts will be biodegradable and thereby reducing the carbon footprint.
{"title":"App controlled Robotic Arm with Ultrasonic Sensor and Solar Panels","authors":"Shreyas V Kuradagi, Kritika Arora, P. Mahalakshmi, S. Balaganapathy, A. Sharmila","doi":"10.1109/i-PACT52855.2021.9697049","DOIUrl":"https://doi.org/10.1109/i-PACT52855.2021.9697049","url":null,"abstract":"Usually movement of goods from one location to another requires human input. This is a tiring job in industries where goods are picked and placed in bulk and the weight of goods to be carried is beyond human potential. Automation industry can play a large role in reducing the human labour and making the process more efficient. In this paper, we put forward a solution to this problem using environment friendly automation technology. We use NodeMCU as the connection between the system and the device through the internet. Our goal is to reduce human interference in hazardous work environment and place with oxygen deficiency through an app controlled 3D printed robotic arm. This arm can be controlled through an android application from anywhere around the globe and can be programmed to perform basic tasks. Furthermore, we are using 3D printing technology so as to eliminate the requirements of production moulds thereby reducing the cost of the arm and making it more feasible. Another objective of this Project was to make the Arm as environmentally safe as possible. Hence, a solar panel will be connected to the Chassis. This ensures that the primary source of power for the Arm is solar energy which is a renewable resource. In addition to this, the plastic which will be used to 3D print the individual parts will be biodegradable and thereby reducing the carbon footprint.","PeriodicalId":335956,"journal":{"name":"2021 Innovations in Power and Advanced Computing Technologies (i-PACT)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116619027","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 : 2021-11-27DOI: 10.1109/i-PACT52855.2021.9696586
Raghav Khattar, S. Srinivas, A. Sharmila, S. Balaganapathy
In this paper, we present the design, implementation and the authentication of a novel Internet of Things (IoT) Anaesthesia drug control system for the online continuous and mutinous controlling of Anaesthesia drugs by detecting two vital body parameters, i.e., body temperature and pulse rate. The mentioned complete system comprises a NodeMCU based control system that drives and reads out the signal from the sensors. When the sensors sense readings of heart rate, body temperature and sweat from the patient's body, which are out of the normal range, the system is designed to drive the servomotor and hence control the Anaesthesia drugs injection in the body according to the patient's current state. The IoT network is upheld by a Cloud framework, which permits the specialist to monitor all the patient's information through Ubidots Cloud. The real time readings of the body parameters of the patient and the position of servo motor, hence the status of the Anaesthesia drug delivery is sent to the hospital cloud from where an anesthetist can observe the readings. If abnormal body temperature and heart rate is observed, the concerned personnel are alerted. Anaesthesia delivery is stopped until the state of the patient becomes normal. The approval closes with the check that this framework effectively works for the concurrent observing and controlling of sedation and the system is turned off manually with a switch. This work is focused on automating the process of Anaesthesia delivery and making the process more economical and efficient.
{"title":"Non-Invasive IoT-Based Anaesthesia Control System","authors":"Raghav Khattar, S. Srinivas, A. Sharmila, S. Balaganapathy","doi":"10.1109/i-PACT52855.2021.9696586","DOIUrl":"https://doi.org/10.1109/i-PACT52855.2021.9696586","url":null,"abstract":"In this paper, we present the design, implementation and the authentication of a novel Internet of Things (IoT) Anaesthesia drug control system for the online continuous and mutinous controlling of Anaesthesia drugs by detecting two vital body parameters, i.e., body temperature and pulse rate. The mentioned complete system comprises a NodeMCU based control system that drives and reads out the signal from the sensors. When the sensors sense readings of heart rate, body temperature and sweat from the patient's body, which are out of the normal range, the system is designed to drive the servomotor and hence control the Anaesthesia drugs injection in the body according to the patient's current state. The IoT network is upheld by a Cloud framework, which permits the specialist to monitor all the patient's information through Ubidots Cloud. The real time readings of the body parameters of the patient and the position of servo motor, hence the status of the Anaesthesia drug delivery is sent to the hospital cloud from where an anesthetist can observe the readings. If abnormal body temperature and heart rate is observed, the concerned personnel are alerted. Anaesthesia delivery is stopped until the state of the patient becomes normal. The approval closes with the check that this framework effectively works for the concurrent observing and controlling of sedation and the system is turned off manually with a switch. This work is focused on automating the process of Anaesthesia delivery and making the process more economical and efficient.","PeriodicalId":335956,"journal":{"name":"2021 Innovations in Power and Advanced Computing Technologies (i-PACT)","volume":"417 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131526993","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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