Pub Date : 2022-12-07DOI: 10.1109/ICETECC56662.2022.10069960
Fahad Ahmed Korai, Noor-ul-Ain Mushtaq, Syed Amjad Ali Shah, Abdul Qadir Ansari
Electromyography (EMG) which is one of the most common biomedical signals recorded from the human body muscle. It is used to detect the movements in the muscles using an algorithm known as human-machine interfacing (HMI), EMG is widely used in prosthetic arms by amputee individuals. However, both the prosthetic arm and the EMG signal recorders available in the market are costly. As in developing countries, more than 22% of people are below the poverty line and starting price of the commercial prosthetic arm is 500,000/-PKR which is very expensive for the people living in Pakistan who need an affordable prosthetic arm, in this project, the prosthetic arm design was designed and modified on -Computer- aided design (CAD) software and 3D printed using PLA (Polylactic Acid). The prosthetic arm was interfaced with EMG sensor by Arduino microcontroller. It was tested on an individual who was able to generate the movements through muscle contraction, which was detected by an EMG sensor. Therefore, the basic objective of developing a low-cost arm is achieved with the total expense of approx. Rs. 20,000/- (PKR) and the people who lost their limbs can use this 3D Printed prosthetic arm to improve their quality of life.
{"title":"Using 3D Printing Technology to Develop Electromyography Signals Based Prosthetic Arm","authors":"Fahad Ahmed Korai, Noor-ul-Ain Mushtaq, Syed Amjad Ali Shah, Abdul Qadir Ansari","doi":"10.1109/ICETECC56662.2022.10069960","DOIUrl":"https://doi.org/10.1109/ICETECC56662.2022.10069960","url":null,"abstract":"Electromyography (EMG) which is one of the most common biomedical signals recorded from the human body muscle. It is used to detect the movements in the muscles using an algorithm known as human-machine interfacing (HMI), EMG is widely used in prosthetic arms by amputee individuals. However, both the prosthetic arm and the EMG signal recorders available in the market are costly. As in developing countries, more than 22% of people are below the poverty line and starting price of the commercial prosthetic arm is 500,000/-PKR which is very expensive for the people living in Pakistan who need an affordable prosthetic arm, in this project, the prosthetic arm design was designed and modified on -Computer- aided design (CAD) software and 3D printed using PLA (Polylactic Acid). The prosthetic arm was interfaced with EMG sensor by Arduino microcontroller. It was tested on an individual who was able to generate the movements through muscle contraction, which was detected by an EMG sensor. Therefore, the basic objective of developing a low-cost arm is achieved with the total expense of approx. Rs. 20,000/- (PKR) and the people who lost their limbs can use this 3D Printed prosthetic arm to improve their quality of life.","PeriodicalId":364463,"journal":{"name":"2022 International Conference on Emerging Technologies in Electronics, Computing and Communication (ICETECC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123412757","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}
Multirate Finite Impulse response (FIR) filters are extensively utilised in digital signal processing in which different filter parts operate at different rates. It has applications in communication transmitters and receivers. Multirate FIR filters when implemented use multipliers and accumulators. There are various types of multiplier structure algorithms and their variations such as Combinational multiplier, Wallace Tree multiplier, Array multiplier and Sequential multiplier and Booth multiplier. Booth multipliers reduces the resulting number of partial products generated as a result of multiplication of two binary numbers. Mutlirate FIR filter has been implemented using with radix-2, 4, 8, 16 and 32 booth recoding algorithm. Multirate 23-tap FIR filter has been implemented using Xilinx System Generator 14.7 which is compatible with MATLAB 2013b. Booth multipliers using different radix sort has been done using Verilog in Xilinx 14.7 and then the synthesized code is imported to Xilinx system generator (MATLAB). The concept of booth multipliers has been incorporated with Radix-4 based booth encoding multiplier performing better compared to other radices in terms of Slices, LUTs, DSP48, IOBs utilization and an Error reduction of about 0.00197%.
多速率有限脉冲响应(FIR)滤波器广泛应用于数字信号处理中，其中不同的滤波器部分以不同的速率工作。它在通信发射机和接收机中都有应用。多速率FIR滤波器在实现时使用乘法器和累加器。乘法器结构算法有多种类型及其变体，如组合乘法器、华莱士树乘法器、阵列乘法器、顺序乘法器和布斯乘法器。布斯乘法器减少了由于两个二进制数相乘而产生的部分乘积的结果数。采用基数2、4、8、16和32摊位编码算法实现了多倍FIR滤波器。采用与MATLAB 2013b兼容的Xilinx System Generator 14.7实现了多速率23分岔FIR滤波器。在Xilinx 14.7中使用Verilog完成了不同基数排序的Booth乘法器，然后将合成代码导入到Xilinx系统生成器(MATLAB)中。展台乘法器的概念与基于基数4的展台编码乘法器相结合，在切片、lut、DSP48、IOBs利用率方面比其他基数表现更好，误差减少约0.00197%。
{"title":"Multirate FIR Filter Using Radix Sort Booth Algorithm In Xilinx System Generator","authors":"Zulfiqar Ali, Sania Syed, Syed Tahir Hussain Shah, Wesam Khalil, Muhammad Ayaz","doi":"10.1109/ICETECC56662.2022.10069905","DOIUrl":"https://doi.org/10.1109/ICETECC56662.2022.10069905","url":null,"abstract":"Multirate Finite Impulse response (FIR) filters are extensively utilised in digital signal processing in which different filter parts operate at different rates. It has applications in communication transmitters and receivers. Multirate FIR filters when implemented use multipliers and accumulators. There are various types of multiplier structure algorithms and their variations such as Combinational multiplier, Wallace Tree multiplier, Array multiplier and Sequential multiplier and Booth multiplier. Booth multipliers reduces the resulting number of partial products generated as a result of multiplication of two binary numbers. Mutlirate FIR filter has been implemented using with radix-2, 4, 8, 16 and 32 booth recoding algorithm. Multirate 23-tap FIR filter has been implemented using Xilinx System Generator 14.7 which is compatible with MATLAB 2013b. Booth multipliers using different radix sort has been done using Verilog in Xilinx 14.7 and then the synthesized code is imported to Xilinx system generator (MATLAB). The concept of booth multipliers has been incorporated with Radix-4 based booth encoding multiplier performing better compared to other radices in terms of Slices, LUTs, DSP48, IOBs utilization and an Error reduction of about 0.00197%.","PeriodicalId":364463,"journal":{"name":"2022 International Conference on Emerging Technologies in Electronics, Computing and Communication (ICETECC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130401821","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 : 2022-12-07DOI: 10.1109/ICETECC56662.2022.10069938
Muhammad Hasan Shaikh, Fariha Rubab, Saifullah Syed Asaad, Yawar Rehman
Several studies have reported the use of Radio Frequency Identification(RFID) Sensors in smart fridges; however, smart fridges using computer vision remains to be accomplished. Here we build a Smart Fridge using Computer Vision, and Internet of things. This required us to train our model on Google’s Cloud Vision API (Application Programming Interface), a solution for large-scale detection. The model is able to accurately predict what comes in front of the camera. The next step was to improve the Human-Fridge interaction. This was done with the help of Mobile Application, considering the growing demand of IoT Applications. The main focus of the App was to improve User Interface and functionality, by using React Native at Frontend. The main features included are; Inventory management, Recipe suggestion using API, Nutritional Information using food API, and Spoilage detection to limit the food wastage. Considering how fast life is today, we are building an enhanced Recipe suggestion engine based on the contents of the fridge. Our project implies the importance of Human-centric applications, where ease and comfort of end-user is the main priority, by enhancing User Interface and Functionality, and keeping the process simple yet efficient.
{"title":"Implementation of Item Management Process and Food Recognition in a Fridge using Computer Vision and IoT","authors":"Muhammad Hasan Shaikh, Fariha Rubab, Saifullah Syed Asaad, Yawar Rehman","doi":"10.1109/ICETECC56662.2022.10069938","DOIUrl":"https://doi.org/10.1109/ICETECC56662.2022.10069938","url":null,"abstract":"Several studies have reported the use of Radio Frequency Identification(RFID) Sensors in smart fridges; however, smart fridges using computer vision remains to be accomplished. Here we build a Smart Fridge using Computer Vision, and Internet of things. This required us to train our model on Google’s Cloud Vision API (Application Programming Interface), a solution for large-scale detection. The model is able to accurately predict what comes in front of the camera. The next step was to improve the Human-Fridge interaction. This was done with the help of Mobile Application, considering the growing demand of IoT Applications. The main focus of the App was to improve User Interface and functionality, by using React Native at Frontend. The main features included are; Inventory management, Recipe suggestion using API, Nutritional Information using food API, and Spoilage detection to limit the food wastage. Considering how fast life is today, we are building an enhanced Recipe suggestion engine based on the contents of the fridge. Our project implies the importance of Human-centric applications, where ease and comfort of end-user is the main priority, by enhancing User Interface and Functionality, and keeping the process simple yet efficient.","PeriodicalId":364463,"journal":{"name":"2022 International Conference on Emerging Technologies in Electronics, Computing and Communication (ICETECC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121468914","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 : 2022-12-07DOI: 10.1109/icetecc56662.2022.10069128
{"title":"ICETECC 2022 Cover Page","authors":"","doi":"10.1109/icetecc56662.2022.10069128","DOIUrl":"https://doi.org/10.1109/icetecc56662.2022.10069128","url":null,"abstract":"","PeriodicalId":364463,"journal":{"name":"2022 International Conference on Emerging Technologies in Electronics, Computing and Communication (ICETECC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124337750","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 : 2022-12-07DOI: 10.1109/ICETECC56662.2022.10069229
Junaidi Muhammad, Affan Bin Hasan, Muhammad Farrukh
The increasing volume of unwanted/unsolicited bulk emails, also known as “SPAM,” is a devastating issue that provokes a multitude of problems in communication systems. Over the past few years, the work on spam classification has been tremendously enhanced to a greater extent. In this paper, we present an approach that encompasses machine and deep neural networks such as Gaussian Naive Bayes (GNB), Convolution Neural Networks (CNN) network, Long Short Term Memory (LSTM) network, and a customized model developed with the combination of CNN and LSTM to classify and predict the widely used open source spam assassin dataset that contains around 6000 real email samples. The models are trained and tested, and the results are presented in the paper. Overall, CNN-LSTM attained a prediction score of 98.68% on the spam dataset.
{"title":"Classification and Prediction of Spam Emails Based on AI Enabling Models Using Deep and Machine Learning Techniques","authors":"Junaidi Muhammad, Affan Bin Hasan, Muhammad Farrukh","doi":"10.1109/ICETECC56662.2022.10069229","DOIUrl":"https://doi.org/10.1109/ICETECC56662.2022.10069229","url":null,"abstract":"The increasing volume of unwanted/unsolicited bulk emails, also known as “SPAM,” is a devastating issue that provokes a multitude of problems in communication systems. Over the past few years, the work on spam classification has been tremendously enhanced to a greater extent. In this paper, we present an approach that encompasses machine and deep neural networks such as Gaussian Naive Bayes (GNB), Convolution Neural Networks (CNN) network, Long Short Term Memory (LSTM) network, and a customized model developed with the combination of CNN and LSTM to classify and predict the widely used open source spam assassin dataset that contains around 6000 real email samples. The models are trained and tested, and the results are presented in the paper. Overall, CNN-LSTM attained a prediction score of 98.68% on the spam dataset.","PeriodicalId":364463,"journal":{"name":"2022 International Conference on Emerging Technologies in Electronics, Computing and Communication (ICETECC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124147221","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 : 2022-12-07DOI: 10.1109/ICETECC56662.2022.10069454
Irfan Ali Dahani, Muhammad Shoaib, Manoj Kumar, Muhammad Fawad Shaikh, S. Shaikh, K. Kumar
The increasing consumption of electrical power due to an increment in the number of industries compelled the service providers to increase the generation of electrical energy. Electrical power suppliers prioritize the generation of energy from renewable sources such as wind and photovoltaic. The integration of electrical power into the existing system increases the magnitude of the fault current. Power providers also consider supplying energy from neighboring power networks. Energy in bulk from the nearest power system requires up-gradation of existing transmission line or installation of double circuit long transmission line to carry a huge amount of electrical energy. This paper is regarding the analysis of fault current magnitude and power losses after the installation of distributed generators. The analysis also covers the optimal placement of double circuit long transmission lines in order to know about minimum power losses and the minimum threat of short circuit current. Optimal placement adds a feature for the power providers to know the economical placement and installation of the long transmission line in the system. The optimized analysis is done using PSS®E software.
{"title":"Analysis and Optimal Synchronization of Two Small Power Systems Through Double Circuit Long Transmission Line with Distributed Generation Penetration","authors":"Irfan Ali Dahani, Muhammad Shoaib, Manoj Kumar, Muhammad Fawad Shaikh, S. Shaikh, K. Kumar","doi":"10.1109/ICETECC56662.2022.10069454","DOIUrl":"https://doi.org/10.1109/ICETECC56662.2022.10069454","url":null,"abstract":"The increasing consumption of electrical power due to an increment in the number of industries compelled the service providers to increase the generation of electrical energy. Electrical power suppliers prioritize the generation of energy from renewable sources such as wind and photovoltaic. The integration of electrical power into the existing system increases the magnitude of the fault current. Power providers also consider supplying energy from neighboring power networks. Energy in bulk from the nearest power system requires up-gradation of existing transmission line or installation of double circuit long transmission line to carry a huge amount of electrical energy. This paper is regarding the analysis of fault current magnitude and power losses after the installation of distributed generators. The analysis also covers the optimal placement of double circuit long transmission lines in order to know about minimum power losses and the minimum threat of short circuit current. Optimal placement adds a feature for the power providers to know the economical placement and installation of the long transmission line in the system. The optimized analysis is done using PSS®E software.","PeriodicalId":364463,"journal":{"name":"2022 International Conference on Emerging Technologies in Electronics, Computing and Communication (ICETECC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133034976","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 : 2022-12-07DOI: 10.1109/ICETECC56662.2022.10069108
S. Ali, M. O. Ullah, J. Mir
Auscultation of the heart is a process that refers to listening to heart sounds to detect abnormalities. It is a good way to diagnose multiple cardiac problems. However, this process requires experienced professionals. The waveforms of a phonocardiogram (PCG) are useful in identifying disorders like these. This work employs self-acquired PCG recordings to develop an intelligent classification model that will serve as an objective diagnostic tool for physicians diagnosing heart disorders based on sound. Our model uses spectrograms and scalograms representations of PCG signals and uses a convolutional neural network to learn suitable features for PCG classification into normal and abnormal recordings. Performance comparison with similar studies reflects the efficacy of our model.
{"title":"Classification of Cardiovascular Disease Using 2D-Image Representations of Phonocardiogram Signals","authors":"S. Ali, M. O. Ullah, J. Mir","doi":"10.1109/ICETECC56662.2022.10069108","DOIUrl":"https://doi.org/10.1109/ICETECC56662.2022.10069108","url":null,"abstract":"Auscultation of the heart is a process that refers to listening to heart sounds to detect abnormalities. It is a good way to diagnose multiple cardiac problems. However, this process requires experienced professionals. The waveforms of a phonocardiogram (PCG) are useful in identifying disorders like these. This work employs self-acquired PCG recordings to develop an intelligent classification model that will serve as an objective diagnostic tool for physicians diagnosing heart disorders based on sound. Our model uses spectrograms and scalograms representations of PCG signals and uses a convolutional neural network to learn suitable features for PCG classification into normal and abnormal recordings. Performance comparison with similar studies reflects the efficacy of our model.","PeriodicalId":364463,"journal":{"name":"2022 International Conference on Emerging Technologies in Electronics, Computing and Communication (ICETECC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133588531","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 : 2022-12-07DOI: 10.1109/ICETECC56662.2022.10069331
A. Rehman, Muhammad Ali, S. Iqbal, Syed Danish Ali, Aqib Shafiq, Raja Tahir Iqbal, Mohtasim Usman
The growing power demand can be realized with the increased saturation of PVs in the distribution network (DN) of the power system. Moreover, low-cost energy with less emission of polluted gases can be achieved. Along with these advantages, it has some disadvantages as well. The integration of a high number of PVs in DN causes voltage deviation, which is undesirable. To reduce voltage deviation and keep the voltage within a particular range, the agents (PVs) must be controlled and coordinated in real-time. This real-time control and coordination are achieved through a multi-agent scheme of deep reinforcement learning (DRL). An Integrated PV inverter is considered an agent and its action can be divided into actor networks (AN) and critic networks (CN). PV inverter has an Actor-network, having the capability of producing or absorbing the reactive power accordingly. The CN evaluates the performance of the AN and produces a Q-value according to the action. Each agent tries to maximize its Q-value. Moreover, all the agents are arranged in a distributed and decentralized scheme to achieve real-time coordination among them. The proposed framework is analyzed on the PV-integrated IEEE-33 power buses. Reactive power control of all the PVs collectively retains the voltage within a safe range of 5%.
{"title":"Control and Coordination of Multiple PV Inverters in Power Distribution Network using Multi Agent Deep Reinforcement Learning","authors":"A. Rehman, Muhammad Ali, S. Iqbal, Syed Danish Ali, Aqib Shafiq, Raja Tahir Iqbal, Mohtasim Usman","doi":"10.1109/ICETECC56662.2022.10069331","DOIUrl":"https://doi.org/10.1109/ICETECC56662.2022.10069331","url":null,"abstract":"The growing power demand can be realized with the increased saturation of PVs in the distribution network (DN) of the power system. Moreover, low-cost energy with less emission of polluted gases can be achieved. Along with these advantages, it has some disadvantages as well. The integration of a high number of PVs in DN causes voltage deviation, which is undesirable. To reduce voltage deviation and keep the voltage within a particular range, the agents (PVs) must be controlled and coordinated in real-time. This real-time control and coordination are achieved through a multi-agent scheme of deep reinforcement learning (DRL). An Integrated PV inverter is considered an agent and its action can be divided into actor networks (AN) and critic networks (CN). PV inverter has an Actor-network, having the capability of producing or absorbing the reactive power accordingly. The CN evaluates the performance of the AN and produces a Q-value according to the action. Each agent tries to maximize its Q-value. Moreover, all the agents are arranged in a distributed and decentralized scheme to achieve real-time coordination among them. The proposed framework is analyzed on the PV-integrated IEEE-33 power buses. Reactive power control of all the PVs collectively retains the voltage within a safe range of 5%.","PeriodicalId":364463,"journal":{"name":"2022 International Conference on Emerging Technologies in Electronics, Computing and Communication (ICETECC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131443504","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 : 2022-12-07DOI: 10.1109/ICETECC56662.2022.10069517
Victor Q. Parillas, Jocelyn M. Beriña, Evelyn M. Baesa, Edralin R. Raro, T. Palaoag
The world is undergoing rapid change due to current events. The internet has become a fundamental necessity for everyone, with Web use in virtually every area. With the growth of social networking, people use these platforms to express their views on daily topics. Hydroponics can help urban agriculture operations when residents have limited land. Despite the benefits of a hydroponic technology, it is not widely used, even in urban areas. The researchers used Twitter to analyze hydroponic farmers’ product sentiment. The data was gathered and evaluated using qualitative research methods and sentiment analysis. The tweets were gathered using the Tweepy Module and the keyword hydroponics. The gathered English tweets underwent tokenization, filtering, standardization, and segmentation. Valence Aware Dictionary for Sentiment Reasoning (VADER) was used to categorize the corpus. After scraping 6429 tweets, 5181 cleaned tweets were categorized as positive, negative, or neutral. Researchers used a pie chart and violin plot for output. Five hundred fifty-three tweets are negative, 2922 are positive, and 1706 are neutral. This result showed 56% liked hydroponic technology. 33% of neutrals liked hydroponics, while 11% disliked it. The hydroponic system has several advantages over conventional farming and some disadvantages. It is recommended that modern farmers be given hydroponic technology application awareness programs to maximize their benefits. Additional studies on hydroponic applications in different agricultural settings and crops are also needed to improve the technology’s success rate.
{"title":"Sentiment Analysis on Hydroponic Technology Application for Urban Farming Limitations","authors":"Victor Q. Parillas, Jocelyn M. Beriña, Evelyn M. Baesa, Edralin R. Raro, T. Palaoag","doi":"10.1109/ICETECC56662.2022.10069517","DOIUrl":"https://doi.org/10.1109/ICETECC56662.2022.10069517","url":null,"abstract":"The world is undergoing rapid change due to current events. The internet has become a fundamental necessity for everyone, with Web use in virtually every area. With the growth of social networking, people use these platforms to express their views on daily topics. Hydroponics can help urban agriculture operations when residents have limited land. Despite the benefits of a hydroponic technology, it is not widely used, even in urban areas. The researchers used Twitter to analyze hydroponic farmers’ product sentiment. The data was gathered and evaluated using qualitative research methods and sentiment analysis. The tweets were gathered using the Tweepy Module and the keyword hydroponics. The gathered English tweets underwent tokenization, filtering, standardization, and segmentation. Valence Aware Dictionary for Sentiment Reasoning (VADER) was used to categorize the corpus. After scraping 6429 tweets, 5181 cleaned tweets were categorized as positive, negative, or neutral. Researchers used a pie chart and violin plot for output. Five hundred fifty-three tweets are negative, 2922 are positive, and 1706 are neutral. This result showed 56% liked hydroponic technology. 33% of neutrals liked hydroponics, while 11% disliked it. The hydroponic system has several advantages over conventional farming and some disadvantages. It is recommended that modern farmers be given hydroponic technology application awareness programs to maximize their benefits. Additional studies on hydroponic applications in different agricultural settings and crops are also needed to improve the technology’s success rate.","PeriodicalId":364463,"journal":{"name":"2022 International Conference on Emerging Technologies in Electronics, Computing and Communication (ICETECC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114628646","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 : 2022-12-07DOI: 10.1109/ICETECC56662.2022.10068786
Waseem Shehzad, T. Mahmood
The most essential and challenging task in an islanded AC/DC Microgrid is to achieve the proper power sharing because both AC sub-grid and DC sub-grid are present. In recent years, research in islanded AC/DC microgrid is widely emerging among researchers all around the world due to the availability of large number of distributed energy resources (DERs). The interlinking converters plays a very important role for balancing the power sharing in an islanded AC/DC microgrid system. The main aim of this paper is to achieve the proper power sharing among all the AC and DC distributed generators (DGs). This paper presents a consensus based distributed control method of interlinking converters (ILCs) for attaining a proper power sharing in an islanded AC/DC microgrid. The proposed control approach is also used to regulate the voltage of DC sub-grid and the frequency of AC sub-grid at their nominal values. In the end, MATLAB/Simulink Model is used for the implementation, analysis, and results verification of our system.
{"title":"Distributed Control Method for Power Sharing in an Islanded AC/DC Microgrid System","authors":"Waseem Shehzad, T. Mahmood","doi":"10.1109/ICETECC56662.2022.10068786","DOIUrl":"https://doi.org/10.1109/ICETECC56662.2022.10068786","url":null,"abstract":"The most essential and challenging task in an islanded AC/DC Microgrid is to achieve the proper power sharing because both AC sub-grid and DC sub-grid are present. In recent years, research in islanded AC/DC microgrid is widely emerging among researchers all around the world due to the availability of large number of distributed energy resources (DERs). The interlinking converters plays a very important role for balancing the power sharing in an islanded AC/DC microgrid system. The main aim of this paper is to achieve the proper power sharing among all the AC and DC distributed generators (DGs). This paper presents a consensus based distributed control method of interlinking converters (ILCs) for attaining a proper power sharing in an islanded AC/DC microgrid. The proposed control approach is also used to regulate the voltage of DC sub-grid and the frequency of AC sub-grid at their nominal values. In the end, MATLAB/Simulink Model is used for the implementation, analysis, and results verification of our system.","PeriodicalId":364463,"journal":{"name":"2022 International Conference on Emerging Technologies in Electronics, Computing and Communication (ICETECC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123248899","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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