Pub Date : 2023-03-02DOI: 10.1109/ICEARS56392.2023.10085666
K. M, U. S, Madhankumar C, Saibarathi Ravi, Sanjeevee S, Tamizh Kanal R
Global population expansion has raised the demand for food production. Farms are frequently threatened by intrusions from different animals, insects, and birds. Crop raiding has been one of the most prominent issues antagonising human-animal relationships as cultivated land has expanded into previous wildlife habitat. Crop-raiding animals can cause significant damage to agricultural crops, caused by animal assault. The farmlands close to the forest boundaries which has long been a source of conflict around the world. The current method used IOT to monitor farm fields using PIR and ultrasonic sensors, but it had the disadvantage of having a smaller detection range than LiDAR sensors. To detect animal trespass at the farm's perimeter, an intrusion detection system based in Lidar sensors placed outside the fence is deployed. A graphical representation of the LiDAR has also been created to indicate the state of the field conditions. An electric fence is used to keep out animals that can threaten the people inside the farm. In order to prevent farmers from electrocuting themselves and keep wild animals outside of the farm's boundaries, a safety device for electric fences by utilizing microwave sensor has been designed.
{"title":"An Integrated Security for Smart Farming and Monitoring System based on LiDAR Technology","authors":"K. M, U. S, Madhankumar C, Saibarathi Ravi, Sanjeevee S, Tamizh Kanal R","doi":"10.1109/ICEARS56392.2023.10085666","DOIUrl":"https://doi.org/10.1109/ICEARS56392.2023.10085666","url":null,"abstract":"Global population expansion has raised the demand for food production. Farms are frequently threatened by intrusions from different animals, insects, and birds. Crop raiding has been one of the most prominent issues antagonising human-animal relationships as cultivated land has expanded into previous wildlife habitat. Crop-raiding animals can cause significant damage to agricultural crops, caused by animal assault. The farmlands close to the forest boundaries which has long been a source of conflict around the world. The current method used IOT to monitor farm fields using PIR and ultrasonic sensors, but it had the disadvantage of having a smaller detection range than LiDAR sensors. To detect animal trespass at the farm's perimeter, an intrusion detection system based in Lidar sensors placed outside the fence is deployed. A graphical representation of the LiDAR has also been created to indicate the state of the field conditions. An electric fence is used to keep out animals that can threaten the people inside the farm. In order to prevent farmers from electrocuting themselves and keep wild animals outside of the farm's boundaries, a safety device for electric fences by utilizing microwave sensor has been designed.","PeriodicalId":338611,"journal":{"name":"2023 Second International Conference on Electronics and Renewable Systems (ICEARS)","volume":"181 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128152578","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 : 2023-03-02DOI: 10.1109/ICEARS56392.2023.10085115
Ramprabu J, Dharan Babu E, Rithika J C, Thavamuthu P S
To suggest a hybrid AC/DC source that would eliminate the need for numerous dc-ac-dc or ac-dc-ac conversions in a single ac or dc grid. In the modern era, the population of people is more. Employment has increased. The number of industries and factories set up in India has increased in recent days. Also, there is lots of work to be done and therefore the need for energy consumption is being increased. In upcoming days, the electricity production in India might be privatized. Cost of production may increase. Hence, there might be a chance of demand in production. The occurrence of power cuts has increased due to this. In order to correct this issue, if moved to renewable energy resources, it will be a better solution to manage and use power in a more efficient way. A hybrid renewable energy source combines one or more renewable energy sources, such solar and wind, to increase system efficiency and improve energy supply reliability to some extent. The interleaved landsman converter will produce steady output voltage and current for the load from the sources linked to it. In the simulation test, the interleaved landsman converter stabilizes the renewable resource energy; if the primary hybrid source fails, the secondary battery source, which is charged by the solar panel, negates it. Wind and solar energy are combined and used as hybrid energy sources. The proposed model is implemented in MATLAB simulation.
建议采用混合AC/DC电源，以消除在单个交流或直流电网中进行大量DC - AC - DC或AC - DC - AC转换的需要。在现代，人口越来越多。就业增加。最近几天，在印度设立的工业和工厂数量有所增加。此外，还有很多工作要做，因此对能源消耗的需求正在增加。在未来的日子里，印度的电力生产可能会私有化。生产成本可能会增加。因此，生产中可能会有需求。因此，停电事件也随之增加。为了纠正这个问题，如果转移到可再生能源，它将是一个更好的解决方案，以更有效的方式管理和使用电力。混合可再生能源将太阳能、风能等一种或多种可再生能源组合在一起，在一定程度上提高系统效率，提高能源供应的可靠性。交错的landsman变换器将产生稳定的输出电压和电流从连接到它的源负载。在仿真试验中，交错式陆人变换器稳定了可再生能源;如果主混合电源发生故障，由太阳能电池板充电的二次电池电源就会使其失效。风能和太阳能被结合起来作为混合能源使用。在MATLAB仿真中实现了该模型。
{"title":"Energy Management System based on Interleaved Landsman Converter using Hybrid Energy Sources","authors":"Ramprabu J, Dharan Babu E, Rithika J C, Thavamuthu P S","doi":"10.1109/ICEARS56392.2023.10085115","DOIUrl":"https://doi.org/10.1109/ICEARS56392.2023.10085115","url":null,"abstract":"To suggest a hybrid AC/DC source that would eliminate the need for numerous dc-ac-dc or ac-dc-ac conversions in a single ac or dc grid. In the modern era, the population of people is more. Employment has increased. The number of industries and factories set up in India has increased in recent days. Also, there is lots of work to be done and therefore the need for energy consumption is being increased. In upcoming days, the electricity production in India might be privatized. Cost of production may increase. Hence, there might be a chance of demand in production. The occurrence of power cuts has increased due to this. In order to correct this issue, if moved to renewable energy resources, it will be a better solution to manage and use power in a more efficient way. A hybrid renewable energy source combines one or more renewable energy sources, such solar and wind, to increase system efficiency and improve energy supply reliability to some extent. The interleaved landsman converter will produce steady output voltage and current for the load from the sources linked to it. In the simulation test, the interleaved landsman converter stabilizes the renewable resource energy; if the primary hybrid source fails, the secondary battery source, which is charged by the solar panel, negates it. Wind and solar energy are combined and used as hybrid energy sources. The proposed model is implemented in MATLAB simulation.","PeriodicalId":338611,"journal":{"name":"2023 Second International Conference on Electronics and Renewable Systems (ICEARS)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114607321","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 : 2023-03-02DOI: 10.1109/ICEARS56392.2023.10084974
Saikrishna, Chapala Venkataramana, T. Sandeep, Venkata Varma, Rd. Suryakanth, M. Nageshwar Rao
A multi-variant, multi-constrain problem called load unbalancing reduces the effectiveness and performance of computer resources. Overloading and under loading are two undesired aspects of load unbalancing that are addressed by load balancing solutions. To the extent possible, various load balancing approaches currently in use are not organised in a comprehensive, thorough, systematic, or hierarchical manner.Furthermore, the literature neither studies nor considers the causes of load unbalancing. This study provides a comprehensive analysis various load-balancing strategy. Build efficient load balancing algorithms in the future, the benefits and drawbacks of current systems are emphasised, and significant problems are addressed.
{"title":"A Hierarchical Taxonomy of Load Balancing in Cloud Computing","authors":"Saikrishna, Chapala Venkataramana, T. Sandeep, Venkata Varma, Rd. Suryakanth, M. Nageshwar Rao","doi":"10.1109/ICEARS56392.2023.10084974","DOIUrl":"https://doi.org/10.1109/ICEARS56392.2023.10084974","url":null,"abstract":"A multi-variant, multi-constrain problem called load unbalancing reduces the effectiveness and performance of computer resources. Overloading and under loading are two undesired aspects of load unbalancing that are addressed by load balancing solutions. To the extent possible, various load balancing approaches currently in use are not organised in a comprehensive, thorough, systematic, or hierarchical manner.Furthermore, the literature neither studies nor considers the causes of load unbalancing. This study provides a comprehensive analysis various load-balancing strategy. Build efficient load balancing algorithms in the future, the benefits and drawbacks of current systems are emphasised, and significant problems are addressed.","PeriodicalId":338611,"journal":{"name":"2023 Second International Conference on Electronics and Renewable Systems (ICEARS)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115876472","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 : 2023-03-02DOI: 10.1109/ICEARS56392.2023.10085607
Shanmugam M, Kanagaraj Venusamy, S. S., Srivatsan S, Naresh Kumar O
The sense of touch and feel is an important asset to the human beings in all aspects across a variety of fields. For a long time, it has been almost impossible to mimic the sense of touch i.e. the natural feedback. Devices that had been developed have been based around piezo electric, Hall Effect sensors, and a combination of sensors and actuators to sense and replicate the feedback. To a certain extent, they have laid the foundation for the field of haptics. Haptics initially were limited to the vibrotactile responses, which were the ones commonly seen in the modern smartphone. Further research and development has led to it being closer than ever to mimic the sense of touch. Several devices were created by incorporating the field of haptics with existing design and devices. One such device is the Haptic glove. A haptic glove is a cutting-edge technology that allows human operators to physically feel the sensation of touch and force feedback when remotely controlling robots or other devices. These gloves are designed to mimic the sense of touch, allowing the operator to feel the shape, texture, and rigidity of the object they are manipulating through the robot. The use of haptic gloves in robotic teleoperation has been found to improve the precision and accuracy of remote tasks, as well as reducing the cognitive load on the operator. This technology can be adopted in field such as manufacturing, surgery, and space exploration. For example, in manufacturing, haptic gloves can be used to remotely operate machinery or perform inspections on hard-to-reach areas, while in surgery; haptic gloves can enable surgeons to perform remote surgeries with greater precision and control. In space exploration, haptic gloves can be used to remotely control robots for tasks such as sample collection and maintenance. Future developments in haptic technology could lead to even more advanced and realistic haptic feedback, further enhancing the capabilities of robotic teleoperation.
{"title":"A Comprehensive Review of Haptic Gloves: Advances, Challenges, and Future Directions","authors":"Shanmugam M, Kanagaraj Venusamy, S. S., Srivatsan S, Naresh Kumar O","doi":"10.1109/ICEARS56392.2023.10085607","DOIUrl":"https://doi.org/10.1109/ICEARS56392.2023.10085607","url":null,"abstract":"The sense of touch and feel is an important asset to the human beings in all aspects across a variety of fields. For a long time, it has been almost impossible to mimic the sense of touch i.e. the natural feedback. Devices that had been developed have been based around piezo electric, Hall Effect sensors, and a combination of sensors and actuators to sense and replicate the feedback. To a certain extent, they have laid the foundation for the field of haptics. Haptics initially were limited to the vibrotactile responses, which were the ones commonly seen in the modern smartphone. Further research and development has led to it being closer than ever to mimic the sense of touch. Several devices were created by incorporating the field of haptics with existing design and devices. One such device is the Haptic glove. A haptic glove is a cutting-edge technology that allows human operators to physically feel the sensation of touch and force feedback when remotely controlling robots or other devices. These gloves are designed to mimic the sense of touch, allowing the operator to feel the shape, texture, and rigidity of the object they are manipulating through the robot. The use of haptic gloves in robotic teleoperation has been found to improve the precision and accuracy of remote tasks, as well as reducing the cognitive load on the operator. This technology can be adopted in field such as manufacturing, surgery, and space exploration. For example, in manufacturing, haptic gloves can be used to remotely operate machinery or perform inspections on hard-to-reach areas, while in surgery; haptic gloves can enable surgeons to perform remote surgeries with greater precision and control. In space exploration, haptic gloves can be used to remotely control robots for tasks such as sample collection and maintenance. Future developments in haptic technology could lead to even more advanced and realistic haptic feedback, further enhancing the capabilities of robotic teleoperation.","PeriodicalId":338611,"journal":{"name":"2023 Second International Conference on Electronics and Renewable Systems (ICEARS)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123638325","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 : 2023-03-02DOI: 10.1109/ICEARS56392.2023.10085070
C. Ciufudean, C. Buzduga
The response time of the authorities in case of a plane crash is essential for lifesaving. The system presented in this paper with the acronym "AS Locating", it is an ultraportable system which has the role of locating in real time the victims of plane crashes. AS Locating system comes into operation automatically after certain values received from various sensors exceed certain threshold preset values, such as acceleration, velocity, air pressure, mechanical chocks, and pulse. Further development of AS Locating system is also presented.
{"title":"Portable Automatic System for Locating Victims of Plane Crashes","authors":"C. Ciufudean, C. Buzduga","doi":"10.1109/ICEARS56392.2023.10085070","DOIUrl":"https://doi.org/10.1109/ICEARS56392.2023.10085070","url":null,"abstract":"The response time of the authorities in case of a plane crash is essential for lifesaving. The system presented in this paper with the acronym \"AS Locating\", it is an ultraportable system which has the role of locating in real time the victims of plane crashes. AS Locating system comes into operation automatically after certain values received from various sensors exceed certain threshold preset values, such as acceleration, velocity, air pressure, mechanical chocks, and pulse. Further development of AS Locating system is also presented.","PeriodicalId":338611,"journal":{"name":"2023 Second International Conference on Electronics and Renewable Systems (ICEARS)","volume":" 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113950600","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 : 2023-03-02DOI: 10.1109/ICEARS56392.2023.10085006
V.P Premkkumar, C. Gayathri, P. Priyadharshini, G. Praveenkumar
The fish industry is currently thriving on the market. Their farmers are in need of increasing fish production. Fish are grown in contaminated lakes, ponds, and tanks. This environment affects the fish’s health and results in unhygienic fish growth. Water quality is salient to aquaculture and its ability to lead to a favorable outcome. There are many factors that affect water quality, like sedimentation, runoff, erosion, temperature, pH, and decayed fish. Water quality is dependent on various physical-chemical and biological factors that affect it and, as a result, its aptness for fish and other aquatic animals are produced and distributed. The many factors, such as fish density, feed quality, and feeding intervals, have an impact on aquaculture. Automated water quality monitoring tests are used in the aquaculture sector to evaluate the ponds water quality. The test, which is expensive, can only be performed by trained personnel. This study is based on cutting-edge technology. Innovations in fish farming are being made possible by the Internet of Things (IoT) by using Thingspeak platform, Artificial intelligence (AI), and Blockchain technology. This method presents a smart aquaculture system that uses AI and IoT will enhance fish farming. IoT is a highly used technology in aquaculture because it helps with monitoring and traceable water quality. Sensors were integrated to measure real-time data to analyse the pH level, dissolve oxygen, temperature, turbidity, and total solid dissolution. Save time and reduce fish mortality by using this system. This intention aided in the classification of two types of fish illnesses. There are two: Epizootic Ulcerative Syndrome (EUS) and Ichthyophthirus (Ich). This system uses a motion sensor to inspect the movement of fish and stores the data in an Arduino cloud application. An Android phone is used as a terminal device to alert them when it reaches unhygienic environmental conditions, and they can also monitor their pond whenever needed. The aquaponics system of the future will become more intelligent, intensive, precise, and efficient as a result of this technological advancement.
{"title":"AI & IoT based Control and Traceable Aquaculture with Secured Data using Blockchain Technology","authors":"V.P Premkkumar, C. Gayathri, P. Priyadharshini, G. Praveenkumar","doi":"10.1109/ICEARS56392.2023.10085006","DOIUrl":"https://doi.org/10.1109/ICEARS56392.2023.10085006","url":null,"abstract":"The fish industry is currently thriving on the market. Their farmers are in need of increasing fish production. Fish are grown in contaminated lakes, ponds, and tanks. This environment affects the fish’s health and results in unhygienic fish growth. Water quality is salient to aquaculture and its ability to lead to a favorable outcome. There are many factors that affect water quality, like sedimentation, runoff, erosion, temperature, pH, and decayed fish. Water quality is dependent on various physical-chemical and biological factors that affect it and, as a result, its aptness for fish and other aquatic animals are produced and distributed. The many factors, such as fish density, feed quality, and feeding intervals, have an impact on aquaculture. Automated water quality monitoring tests are used in the aquaculture sector to evaluate the ponds water quality. The test, which is expensive, can only be performed by trained personnel. This study is based on cutting-edge technology. Innovations in fish farming are being made possible by the Internet of Things (IoT) by using Thingspeak platform, Artificial intelligence (AI), and Blockchain technology. This method presents a smart aquaculture system that uses AI and IoT will enhance fish farming. IoT is a highly used technology in aquaculture because it helps with monitoring and traceable water quality. Sensors were integrated to measure real-time data to analyse the pH level, dissolve oxygen, temperature, turbidity, and total solid dissolution. Save time and reduce fish mortality by using this system. This intention aided in the classification of two types of fish illnesses. There are two: Epizootic Ulcerative Syndrome (EUS) and Ichthyophthirus (Ich). This system uses a motion sensor to inspect the movement of fish and stores the data in an Arduino cloud application. An Android phone is used as a terminal device to alert them when it reaches unhygienic environmental conditions, and they can also monitor their pond whenever needed. The aquaponics system of the future will become more intelligent, intensive, precise, and efficient as a result of this technological advancement.","PeriodicalId":338611,"journal":{"name":"2023 Second International Conference on Electronics and Renewable Systems (ICEARS)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114956140","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 : 2023-03-02DOI: 10.1109/ICEARS56392.2023.10085245
Dharanaesh M, V. Pushpalatha, Yughendaran P, Janarthanan S, Dinesh A
Fatigue or drowsiness is a significant factor that contributes to the occurrence of terrible road accidents. Every day, the number of fatal injuries increases day by day. The paper introduces a novel experimental model that aims to reduce the frequency of accidents by detecting driver drowsiness while also recommending songs based on facial emotions. The existing models use more hardware than necessary, leading to more cost and also do not provide as much accuracy. The proposed system aims to enhance the overall experience by reducing both the computational time required to obtain results and the overall cost of the system. For that, this study has developed a real-time information processing system that captures the video from the car dash camera. Then, an object detection algorithm will be employed to extract multiple facial parts from each frame using a pre-trained deep learning model from image processing libraries like OpenCV. Then, there is MobileNetV2, a lightweight convolutional neural network model that performs transfer learning by freezing feature extraction layers and creating custom dense layers for facial emotion classification, with output labels of happiness, sadness, fear, anger, surprise, disgust, sleepiness, and neutral. The driver's face will be identified using directional analysis from multiple facial parts in a single frame to carry out drowsiness detection to avoid accidents. Then, according to the emotion predicted by multiple users, the application will fetch a playlist of songs from Spotify through a Spotify wrapper and recommend the songs by displaying them on the car's dash screen. Finally, the model will be optimized using various optimization techniques to run on low-latency embedded devices.
{"title":"Video based Facial Emotion Recognition System using Deep Learning","authors":"Dharanaesh M, V. Pushpalatha, Yughendaran P, Janarthanan S, Dinesh A","doi":"10.1109/ICEARS56392.2023.10085245","DOIUrl":"https://doi.org/10.1109/ICEARS56392.2023.10085245","url":null,"abstract":"Fatigue or drowsiness is a significant factor that contributes to the occurrence of terrible road accidents. Every day, the number of fatal injuries increases day by day. The paper introduces a novel experimental model that aims to reduce the frequency of accidents by detecting driver drowsiness while also recommending songs based on facial emotions. The existing models use more hardware than necessary, leading to more cost and also do not provide as much accuracy. The proposed system aims to enhance the overall experience by reducing both the computational time required to obtain results and the overall cost of the system. For that, this study has developed a real-time information processing system that captures the video from the car dash camera. Then, an object detection algorithm will be employed to extract multiple facial parts from each frame using a pre-trained deep learning model from image processing libraries like OpenCV. Then, there is MobileNetV2, a lightweight convolutional neural network model that performs transfer learning by freezing feature extraction layers and creating custom dense layers for facial emotion classification, with output labels of happiness, sadness, fear, anger, surprise, disgust, sleepiness, and neutral. The driver's face will be identified using directional analysis from multiple facial parts in a single frame to carry out drowsiness detection to avoid accidents. Then, according to the emotion predicted by multiple users, the application will fetch a playlist of songs from Spotify through a Spotify wrapper and recommend the songs by displaying them on the car's dash screen. Finally, the model will be optimized using various optimization techniques to run on low-latency embedded devices.","PeriodicalId":338611,"journal":{"name":"2023 Second International Conference on Electronics and Renewable Systems (ICEARS)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123889716","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 : 2023-03-02DOI: 10.1109/ICEARS56392.2023.10085436
R. Lal Raja Singh, K. Arulselvan, A. Indhumathi, S. Iswarya, G. Namitha
Air pollution is becoming a severe problem in metropolitan areas, requiring special care due to high decibel levels and the presence of dangerous substances in the environment. Controlling pollution (including air pollution) is becoming increasingly necessary in order to maintain a healthy lifestyle and a better future. In this work, an effective Internet of Things implementation is employed to monitor ambient atmospheric conditions such as air pollution. This research presents a conceptual design for a versatile, cost-effective, and adaptive system for monitoring the air and acoustic quality of a specific venue. This system provides a monitoring system for air quality, allowing us to monitor and check in real time. This data is continually transmitted by the system, which employs Air sensors for detecting pollutants and carbon dioxide in the air. The monitoring devices like AM7000 which are currently used are felt difficult to implement because of its short range of monitoring, higher cost etc. Other devices which are used for monitoring faces a major disadvantage because of its higher volume, its huge weight etc., The major objective of the proposed system is to make a device which is lesser in volume and weight, cost efficient and also to provide a system which is much more effective in monitoring
{"title":"Design and Fabrication of Solar Powered Air Quality Monitoring System","authors":"R. Lal Raja Singh, K. Arulselvan, A. Indhumathi, S. Iswarya, G. Namitha","doi":"10.1109/ICEARS56392.2023.10085436","DOIUrl":"https://doi.org/10.1109/ICEARS56392.2023.10085436","url":null,"abstract":"Air pollution is becoming a severe problem in metropolitan areas, requiring special care due to high decibel levels and the presence of dangerous substances in the environment. Controlling pollution (including air pollution) is becoming increasingly necessary in order to maintain a healthy lifestyle and a better future. In this work, an effective Internet of Things implementation is employed to monitor ambient atmospheric conditions such as air pollution. This research presents a conceptual design for a versatile, cost-effective, and adaptive system for monitoring the air and acoustic quality of a specific venue. This system provides a monitoring system for air quality, allowing us to monitor and check in real time. This data is continually transmitted by the system, which employs Air sensors for detecting pollutants and carbon dioxide in the air. The monitoring devices like AM7000 which are currently used are felt difficult to implement because of its short range of monitoring, higher cost etc. Other devices which are used for monitoring faces a major disadvantage because of its higher volume, its huge weight etc., The major objective of the proposed system is to make a device which is lesser in volume and weight, cost efficient and also to provide a system which is much more effective in monitoring","PeriodicalId":338611,"journal":{"name":"2023 Second International Conference on Electronics and Renewable Systems (ICEARS)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125213415","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 : 2023-03-02DOI: 10.1109/ICEARS56392.2023.10085676
Mohammad Qamar, Hamnah Rao, Sheikh Afaan Farooq, Ajatray Swagat Bhuyan
The practice of finding emotion embedded in textual data is known as sentiment analysis, sometimes known as opinion mining. Various sentiment analysis algorithms, including classic Machine Learning models and Deep Learning models, have been suggested up until now. Some Machine Learning-based models, such as Naive Bayes, Decision Tree, SVM, and others, have demonstrated exceptional performance in sentiment categorization. Although Machine Learning algorithms have demonstrated high performance, they are constrained by the quantity of the dataset employed and include feature extraction tasks, which are time demanding. As a result, this study considers Deep Learning (DL)-based models, which include automated feature extraction and can handle massive amounts of data. One of the major issues with existing sentiment analysis models is that they are domain-dependent; hence, if there is a dataset available from a domain on which the model was not trained on, its accuracy is significantly reduced. To make the model domain agnostic, it is trained on datasets from three distinct domains: Twitter US Airline Review dataset, the IMDb Movie Review dataset, and the US Presidential Election dataset. The suggested sentiment analysis model is trained on five different deep learning models: CNN-GRU, CNN-LSTM, CNN, LSTM and GRU. The model's performance was evaluated using test data from three datasets on which the model was trained, as well as a fresh book review dataset scraped from the Amazon website.
{"title":"Sentiment Analysis using Deep Learning: A Domain Independent Approach","authors":"Mohammad Qamar, Hamnah Rao, Sheikh Afaan Farooq, Ajatray Swagat Bhuyan","doi":"10.1109/ICEARS56392.2023.10085676","DOIUrl":"https://doi.org/10.1109/ICEARS56392.2023.10085676","url":null,"abstract":"The practice of finding emotion embedded in textual data is known as sentiment analysis, sometimes known as opinion mining. Various sentiment analysis algorithms, including classic Machine Learning models and Deep Learning models, have been suggested up until now. Some Machine Learning-based models, such as Naive Bayes, Decision Tree, SVM, and others, have demonstrated exceptional performance in sentiment categorization. Although Machine Learning algorithms have demonstrated high performance, they are constrained by the quantity of the dataset employed and include feature extraction tasks, which are time demanding. As a result, this study considers Deep Learning (DL)-based models, which include automated feature extraction and can handle massive amounts of data. One of the major issues with existing sentiment analysis models is that they are domain-dependent; hence, if there is a dataset available from a domain on which the model was not trained on, its accuracy is significantly reduced. To make the model domain agnostic, it is trained on datasets from three distinct domains: Twitter US Airline Review dataset, the IMDb Movie Review dataset, and the US Presidential Election dataset. The suggested sentiment analysis model is trained on five different deep learning models: CNN-GRU, CNN-LSTM, CNN, LSTM and GRU. The model's performance was evaluated using test data from three datasets on which the model was trained, as well as a fresh book review dataset scraped from the Amazon website.","PeriodicalId":338611,"journal":{"name":"2023 Second International Conference on Electronics and Renewable Systems (ICEARS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126049043","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 : 2023-03-02DOI: 10.1109/ICEARS56392.2023.10084970
Akshali Jain, Mehul Jain, Mayank Patel, N. Rathore
To solve the problems that occur during the training of coal mining, this study has developed a VR-based user interactive solution with which immersive virtual training will be provided to the miners before going into real fieldwork, and workers can get the in-handed experience of safety and precautions in coal mines. VR solutions for underground coal mining training can help the workers to skill up their workforce, especially for the young miners and better life-saving training. Maximum of the present VR-based education structures are lacking in a learning enjoy. But these structures adopt training and mastering functions via player interatcion with the assist of 3D coal mine VR schooling models. The system can be efficiently implemented in a laboratory environment. The proposed model provides four types of training - Coal digging and Loading, Fire rescue operation, Disaster scenario, and mechanical operations. In all these operations, after wearing the VR headset instructions will be provided to the users step by step on what they must do accordingly. With the help of this solution, miners can be trained to save their lives and handle the disastrous situation in coal mines. This will be a complete training for new miners.
{"title":"An Enhanced and Interactive Training Model for Underground Coal Mines Using Virtual Reality","authors":"Akshali Jain, Mehul Jain, Mayank Patel, N. Rathore","doi":"10.1109/ICEARS56392.2023.10084970","DOIUrl":"https://doi.org/10.1109/ICEARS56392.2023.10084970","url":null,"abstract":"To solve the problems that occur during the training of coal mining, this study has developed a VR-based user interactive solution with which immersive virtual training will be provided to the miners before going into real fieldwork, and workers can get the in-handed experience of safety and precautions in coal mines. VR solutions for underground coal mining training can help the workers to skill up their workforce, especially for the young miners and better life-saving training. Maximum of the present VR-based education structures are lacking in a learning enjoy. But these structures adopt training and mastering functions via player interatcion with the assist of 3D coal mine VR schooling models. The system can be efficiently implemented in a laboratory environment. The proposed model provides four types of training - Coal digging and Loading, Fire rescue operation, Disaster scenario, and mechanical operations. In all these operations, after wearing the VR headset instructions will be provided to the users step by step on what they must do accordingly. With the help of this solution, miners can be trained to save their lives and handle the disastrous situation in coal mines. This will be a complete training for new miners.","PeriodicalId":338611,"journal":{"name":"2023 Second International Conference on Electronics and Renewable Systems (ICEARS)","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124763654","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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