Pub Date : 2023-02-22DOI: 10.1109/ICECCT56650.2023.10179779
Yogendra Saini, Aashiq Hussain, Ravi Kumar Hada, Gaurav Jain, B. Rathor
Understanding and analyzing power system stability behavior under various conditions is the goal of power system stability analysis. The PSS is utilized by generators to address stability issues. To distinguish PSS execution under the transient inadequacy condition, a transient stability examination is carried out. This paper manages power system stabilizers to enhance the system's dynamic stability. Reenactment programming, such as MATLAB, licenses such evaluation on test structures, such as the 3 machine 9 Bus systems, which are intended to calculate various apparatuses of system under various conditions, despite the fact that such an examination cannot be carried out in the field. Various PSS have been used in the past to tune PSS frequency. In addition to comparing the obtained results to those of other PSS, we tuned the repeat of PSS using frequency response strategy that makes use of the system's frequency under transient conditions. The simpowersystem MATLAB tool kit was used to plan and analyze transient stability for the System with PSS.
{"title":"Robust Control Technique for Three Machine Nine Bus System","authors":"Yogendra Saini, Aashiq Hussain, Ravi Kumar Hada, Gaurav Jain, B. Rathor","doi":"10.1109/ICECCT56650.2023.10179779","DOIUrl":"https://doi.org/10.1109/ICECCT56650.2023.10179779","url":null,"abstract":"Understanding and analyzing power system stability behavior under various conditions is the goal of power system stability analysis. The PSS is utilized by generators to address stability issues. To distinguish PSS execution under the transient inadequacy condition, a transient stability examination is carried out. This paper manages power system stabilizers to enhance the system's dynamic stability. Reenactment programming, such as MATLAB, licenses such evaluation on test structures, such as the 3 machine 9 Bus systems, which are intended to calculate various apparatuses of system under various conditions, despite the fact that such an examination cannot be carried out in the field. Various PSS have been used in the past to tune PSS frequency. In addition to comparing the obtained results to those of other PSS, we tuned the repeat of PSS using frequency response strategy that makes use of the system's frequency under transient conditions. The simpowersystem MATLAB tool kit was used to plan and analyze transient stability for the System with PSS.","PeriodicalId":180790,"journal":{"name":"2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115010535","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 : 2023-02-22DOI: 10.1109/ICECCT56650.2023.10179669
Hemant Sharma, Akhil Nigam, Kaml Kant Sharma
In this paper it deals with configuration and simulation of solar PV cell based energy system for study of hybrid energy system. This solar PV system uses perturb and observe MPPT tracking algorithm and have been simulated under MATLAB environment. There are availability of soft computing technique to extract maximum power point. So in this paper modeling of solar photovoltaic system has been carried out under MATLAB/Simulink environment in order to achieve maximum power by using MPPT controller which further may be utilized for hybrid energy system.
{"title":"Modeling & Simulation Analysis of Solar PV System Using MPPT Controller for Study of Hybrid Energy System","authors":"Hemant Sharma, Akhil Nigam, Kaml Kant Sharma","doi":"10.1109/ICECCT56650.2023.10179669","DOIUrl":"https://doi.org/10.1109/ICECCT56650.2023.10179669","url":null,"abstract":"In this paper it deals with configuration and simulation of solar PV cell based energy system for study of hybrid energy system. This solar PV system uses perturb and observe MPPT tracking algorithm and have been simulated under MATLAB environment. There are availability of soft computing technique to extract maximum power point. So in this paper modeling of solar photovoltaic system has been carried out under MATLAB/Simulink environment in order to achieve maximum power by using MPPT controller which further may be utilized for hybrid energy system.","PeriodicalId":180790,"journal":{"name":"2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115144714","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 : 2023-02-22DOI: 10.1109/ICECCT56650.2023.10179791
R. Kavitha, K. Premalatha, M. M. Kumar, S. Kumutha, T.N. Manimaran
THD minimization is a powerful technique for lowering the harmonic content of an inverter's output voltage. In most three-phase multilevel inverters, the optimization algorithm is applied to the inverter's phase voltage, and then line voltage THD is calculated. As a result, although it achieves the lowest THD in phase voltage, it does not always have the lowest THD in line voltage. Line voltage harmonics play an important role in terms of load. In this paper, the Particle Swarm Optimization (PSO) technique is applied to a multilevel inverter to determine the optimal switching angles using the direct formula of Line voltage Total Harmonic Distortion (LVTHD) as the objective function. The simulation was performed in MATLAB for a 7-level cascaded H bridge multilevel inverter using both the Minimization of Phase Voltage Total Harmonic Distortion (MPVTHD) and Minimization of Line Voltage Total harmonic distortion (MLVTHD) approaches and comparison was done. The result indicates that phase voltage THD minimisation approach produces line THD of 8.36% whereas line voltage THD approach provides better results with line THD value of 6.87% without using filter circuits. Thus, THD optimization applied directly to line voltage provides significant reduction in harmonics with that of phase THD minimization approach.
{"title":"Line Voltage THD Minimization in Multilevel Inverter using Particle Swarm Optimization","authors":"R. Kavitha, K. Premalatha, M. M. Kumar, S. Kumutha, T.N. Manimaran","doi":"10.1109/ICECCT56650.2023.10179791","DOIUrl":"https://doi.org/10.1109/ICECCT56650.2023.10179791","url":null,"abstract":"THD minimization is a powerful technique for lowering the harmonic content of an inverter's output voltage. In most three-phase multilevel inverters, the optimization algorithm is applied to the inverter's phase voltage, and then line voltage THD is calculated. As a result, although it achieves the lowest THD in phase voltage, it does not always have the lowest THD in line voltage. Line voltage harmonics play an important role in terms of load. In this paper, the Particle Swarm Optimization (PSO) technique is applied to a multilevel inverter to determine the optimal switching angles using the direct formula of Line voltage Total Harmonic Distortion (LVTHD) as the objective function. The simulation was performed in MATLAB for a 7-level cascaded H bridge multilevel inverter using both the Minimization of Phase Voltage Total Harmonic Distortion (MPVTHD) and Minimization of Line Voltage Total harmonic distortion (MLVTHD) approaches and comparison was done. The result indicates that phase voltage THD minimisation approach produces line THD of 8.36% whereas line voltage THD approach provides better results with line THD value of 6.87% without using filter circuits. Thus, THD optimization applied directly to line voltage provides significant reduction in harmonics with that of phase THD minimization approach.","PeriodicalId":180790,"journal":{"name":"2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116913999","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 : 2023-02-22DOI: 10.1109/ICECCT56650.2023.10179802
G. V. Datta, S. Kishan, A. Kartik, G. B. Sai, S. Gowtham
Glaucoma is an eye condition that causes the retina to slowly deteriorate over time. If the disease is detected early enough, its progression can be stopped. Unfortunately, early diagnosis is rare because there are usually no obvious signs in the early stages. Early glaucoma detection is essential because glaucoma with a delayed diagnosis can cause permanent vision loss. It has been demonstrated that computer vision systems can detect glaucoma efficiently and accurately. There are some existing methodologies SVM, KNN, and Random Forest using text datasets and with a low accuracy rate. In this project, we apply deep learning models that can recognize the complex features needed for classification tasks, including microaneurysms, exudate, and retinal hemorrhagic. The project's goal is to suggest a hybrid or innovative method employing CNN that overcomes the limitations of competing techniques and yields more accurate results.
{"title":"Glaucoma Disease Detection Using Deep Learning","authors":"G. V. Datta, S. Kishan, A. Kartik, G. B. Sai, S. Gowtham","doi":"10.1109/ICECCT56650.2023.10179802","DOIUrl":"https://doi.org/10.1109/ICECCT56650.2023.10179802","url":null,"abstract":"Glaucoma is an eye condition that causes the retina to slowly deteriorate over time. If the disease is detected early enough, its progression can be stopped. Unfortunately, early diagnosis is rare because there are usually no obvious signs in the early stages. Early glaucoma detection is essential because glaucoma with a delayed diagnosis can cause permanent vision loss. It has been demonstrated that computer vision systems can detect glaucoma efficiently and accurately. There are some existing methodologies SVM, KNN, and Random Forest using text datasets and with a low accuracy rate. In this project, we apply deep learning models that can recognize the complex features needed for classification tasks, including microaneurysms, exudate, and retinal hemorrhagic. The project's goal is to suggest a hybrid or innovative method employing CNN that overcomes the limitations of competing techniques and yields more accurate results.","PeriodicalId":180790,"journal":{"name":"2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT)","volume":"147 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127073694","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 : 2023-02-22DOI: 10.1109/ICECCT56650.2023.10179692
Puberun Boruah
Errors are part and parcel of Computer Vision applications like Optical Character Recognition(OCR). Unfortunately, the noise produced by these errors only proliferates further down the stages of Natural Language Processing pipelines. Among the reported works for post-processing of OCR texts, most involved Lexical approaches, Feature-based machine learning models, Merging OCR outputs, or using other language Models. This paper proposes an Isolated-Word-based approach to detect OCR errors that rely on the principles of the Artificial Immune System(AIS). The problem of OCR error detection is treated as a classification problem where OCR errors are treated as pathogens and correct words as host cells. The Negative Selection Algorithm is used to classify any new token as an OCR error (pathogen) or good term (host cell). A series of experiments illustrate that it is possible to construct such a system to help identify OCR errors independent of the language.
{"title":"An Immuno-Inspired Approach Towards Post-Processing of OCR Errors","authors":"Puberun Boruah","doi":"10.1109/ICECCT56650.2023.10179692","DOIUrl":"https://doi.org/10.1109/ICECCT56650.2023.10179692","url":null,"abstract":"Errors are part and parcel of Computer Vision applications like Optical Character Recognition(OCR). Unfortunately, the noise produced by these errors only proliferates further down the stages of Natural Language Processing pipelines. Among the reported works for post-processing of OCR texts, most involved Lexical approaches, Feature-based machine learning models, Merging OCR outputs, or using other language Models. This paper proposes an Isolated-Word-based approach to detect OCR errors that rely on the principles of the Artificial Immune System(AIS). The problem of OCR error detection is treated as a classification problem where OCR errors are treated as pathogens and correct words as host cells. The Negative Selection Algorithm is used to classify any new token as an OCR error (pathogen) or good term (host cell). A series of experiments illustrate that it is possible to construct such a system to help identify OCR errors independent of the language.","PeriodicalId":180790,"journal":{"name":"2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115055188","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 : 2023-02-22DOI: 10.1109/ICECCT56650.2023.10179823
Vigilson Prem M, Paulraj D
Cloud computing has led to a metamorphosis within the delivery model of information technology, from a product to a service. The resources of cloud computing should operate without mistakes or malfunctions is one of the primary challenges. Nevertheless, the cloud environment's ever-changing characteristics lead to a variety of unforeseen problems and malfunctions. Cloud services are hampered by their own vulnerability to disruption as a result of faults or failures in operations, causing them to perform less well than they could. To ensure the availability and dependability of crucial resources, fault tolerance is a fundamental concern. Failures should be anticipated and handled proactively. In order to achieve resilience and reliability in cloud computing, effective failure evaluation and management are required. To anticipate these problems and take the right action before they really happen, many proactive fault tolerance techniques have been proposed and are being deployed. However, most of the proactive fault tolerance methods could not yield a significant solution or help anticipate the faults. Failure to complete a task is no longer an accident but rather a typical feature in cloud computing environments. In this paper, a reactive fault tolerance-aware workflow scheduling approach (RFT A WS) for cloud environment is proposed, that is optimized for teaching and learning. This approach aims to reduce the likelihood of dynamic tasks failing before they are supposed to by taking into account the resources that are already available. The effectiveness of the suggested approach RFT A WS is assessed using the failure ratio, performance improvement rate, and rejection ratio to estimate the scheduling task. The result shows that the suggested system works better than the ones that are already in place and makes data more accessible and reliable.
{"title":"Reactive Fault Tolerance aware Workflow Scheduling Technique for Cloud Computing using Teaching Learning Optimization Algorithm","authors":"Vigilson Prem M, Paulraj D","doi":"10.1109/ICECCT56650.2023.10179823","DOIUrl":"https://doi.org/10.1109/ICECCT56650.2023.10179823","url":null,"abstract":"Cloud computing has led to a metamorphosis within the delivery model of information technology, from a product to a service. The resources of cloud computing should operate without mistakes or malfunctions is one of the primary challenges. Nevertheless, the cloud environment's ever-changing characteristics lead to a variety of unforeseen problems and malfunctions. Cloud services are hampered by their own vulnerability to disruption as a result of faults or failures in operations, causing them to perform less well than they could. To ensure the availability and dependability of crucial resources, fault tolerance is a fundamental concern. Failures should be anticipated and handled proactively. In order to achieve resilience and reliability in cloud computing, effective failure evaluation and management are required. To anticipate these problems and take the right action before they really happen, many proactive fault tolerance techniques have been proposed and are being deployed. However, most of the proactive fault tolerance methods could not yield a significant solution or help anticipate the faults. Failure to complete a task is no longer an accident but rather a typical feature in cloud computing environments. In this paper, a reactive fault tolerance-aware workflow scheduling approach (RFT A WS) for cloud environment is proposed, that is optimized for teaching and learning. This approach aims to reduce the likelihood of dynamic tasks failing before they are supposed to by taking into account the resources that are already available. The effectiveness of the suggested approach RFT A WS is assessed using the failure ratio, performance improvement rate, and rejection ratio to estimate the scheduling task. The result shows that the suggested system works better than the ones that are already in place and makes data more accessible and reliable.","PeriodicalId":180790,"journal":{"name":"2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117010201","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 : 2023-02-22DOI: 10.1109/ICECCT56650.2023.10179822
Navashree Nagarajan, Parthasarathy Panchatcharam
The use of numerous nanomaterials in the fabrication of electrochemical sensors appears to be more favorable due to their strong adsorption capacity, increased electron transport, high surface area, and energy. Among various electrochemical sensors, the application of functionalized nanomaterials is particularly fascinating in the fields of electrochemistry and nanotechnology. This review concentrates on sensors that have been functionalized using metallic, metallic oxide, and non-metallic nanoparticles through the addition of functional groups or biomolecules for the detection of dopamine neurotransmitter. It summarizes the capabilities of nanomaterials in the development of sensors and provides an explanation of the operating mechanisms between the electrode and the analyte in electrochemical detection. Finally, this paper discusses the challenges and opportunities associated with the development and application of functionalized electrochemical sensors.
{"title":"A Review on Functionalized Biosensors and its Mechanism Behind the Clinical Diagnosis of Dopamine","authors":"Navashree Nagarajan, Parthasarathy Panchatcharam","doi":"10.1109/ICECCT56650.2023.10179822","DOIUrl":"https://doi.org/10.1109/ICECCT56650.2023.10179822","url":null,"abstract":"The use of numerous nanomaterials in the fabrication of electrochemical sensors appears to be more favorable due to their strong adsorption capacity, increased electron transport, high surface area, and energy. Among various electrochemical sensors, the application of functionalized nanomaterials is particularly fascinating in the fields of electrochemistry and nanotechnology. This review concentrates on sensors that have been functionalized using metallic, metallic oxide, and non-metallic nanoparticles through the addition of functional groups or biomolecules for the detection of dopamine neurotransmitter. It summarizes the capabilities of nanomaterials in the development of sensors and provides an explanation of the operating mechanisms between the electrode and the analyte in electrochemical detection. Finally, this paper discusses the challenges and opportunities associated with the development and application of functionalized electrochemical sensors.","PeriodicalId":180790,"journal":{"name":"2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129744826","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In recent periods, the design of utility network is highly crucial in power system due to large changes in the approaches of the power supply. The primary duty is to provide better power quality of power to the distributed consumers. Thus, the utilities are always emphasing on advanced methodologies to supply good power quality (PQ) to its consumers. Further, as there is wide requirement of energy demand, it is necessary to incorporate different distributed supplies to the system. Therefore, in this paper, a photovoltaic (PV) combined multilevel inverter (MLI) for enhancing the PQ in the utility network. For operation of the multilevel inverter a newly developed optimization technique is employed. The proposed method is related with other existing methods. The PV system is also operated using a modified version of the conventional maximum power point technique (MPPT). The overall performance of the system is verified and analysed using MATLAB/Simulink software.
{"title":"Utilization of optimization strategies in photovoltaic integrated multiltvel inverters for enhancing power quality","authors":"Sivaprasad Kollati, Kakara Veereshkumar, Pennada Siva Lakshman, Bezzam Karunya","doi":"10.1109/ICECCT56650.2023.10179838","DOIUrl":"https://doi.org/10.1109/ICECCT56650.2023.10179838","url":null,"abstract":"In recent periods, the design of utility network is highly crucial in power system due to large changes in the approaches of the power supply. The primary duty is to provide better power quality of power to the distributed consumers. Thus, the utilities are always emphasing on advanced methodologies to supply good power quality (PQ) to its consumers. Further, as there is wide requirement of energy demand, it is necessary to incorporate different distributed supplies to the system. Therefore, in this paper, a photovoltaic (PV) combined multilevel inverter (MLI) for enhancing the PQ in the utility network. For operation of the multilevel inverter a newly developed optimization technique is employed. The proposed method is related with other existing methods. The PV system is also operated using a modified version of the conventional maximum power point technique (MPPT). The overall performance of the system is verified and analysed using MATLAB/Simulink software.","PeriodicalId":180790,"journal":{"name":"2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128621033","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 : 2023-02-22DOI: 10.1109/ICECCT56650.2023.10179768
Priyanka Hankare, A. Cheeran
Body surface electrodes are used in electrical impedance tomography (EIT) tests. These tests yields an image of the conductivity distribution. Image reconstruction mainly depends on data obtained from sensor electrodes through experiments or tests. Data contamination due to introduction of noise and poor conditioning of the system matrix makes the reconstruction techniques challenging. To give a stable and accurate solution to an ill conditioned EIT problem some form of prior knowledge is introduced by a scalar hyperparameter. Number of mesh elements used during reconstruction process plays a vital role. This paper proposes the comparative analysis of effect of number of mesh elements on reconstruction. Also the optimum number of mesh elements for reconstruction are proposed. Also the effect of change of hyperparameter on reconstruction is shown for above mentioned algorithms.
{"title":"Effect of Mesh Elements and Hyper-parameter over 2-Dimensional Electrical Impedance Tomography Model","authors":"Priyanka Hankare, A. Cheeran","doi":"10.1109/ICECCT56650.2023.10179768","DOIUrl":"https://doi.org/10.1109/ICECCT56650.2023.10179768","url":null,"abstract":"Body surface electrodes are used in electrical impedance tomography (EIT) tests. These tests yields an image of the conductivity distribution. Image reconstruction mainly depends on data obtained from sensor electrodes through experiments or tests. Data contamination due to introduction of noise and poor conditioning of the system matrix makes the reconstruction techniques challenging. To give a stable and accurate solution to an ill conditioned EIT problem some form of prior knowledge is introduced by a scalar hyperparameter. Number of mesh elements used during reconstruction process plays a vital role. This paper proposes the comparative analysis of effect of number of mesh elements on reconstruction. Also the optimum number of mesh elements for reconstruction are proposed. Also the effect of change of hyperparameter on reconstruction is shown for above mentioned algorithms.","PeriodicalId":180790,"journal":{"name":"2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126693261","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 : 2023-02-22DOI: 10.1109/ICECCT56650.2023.10179663
ChanderRekha Thakur, Ajay Kumar
Today's society revolves around artificial intelligence and relies on it for various businesses, like agriculture, where they want to use it as a tool. We should be worried because people waste about 1.6 billion metric tons of staple foods every year. We are slowly realizing this and implementing new techniques like food preservation and crop care. Using a literature review and bibliometric analysis, this article presents study findings exploring the existence and growth of the phrase “plant diseases” from 2016 to 2022. The main aim of this study is to look at the quantity and quality of empirical evidence on the prevention of plant diseases that supports the use of this strategy. The researchers recognized and confirmed that this topic of study is important and holds great promise for helping future researchers achieve strategic alignment between information and technology. The Web of Science bibliometric methodology has been used to analyze a total of 1000 publications on this topic. This research will be of great interest to academics and practitioners who wish to improve their understanding of plant diseases and trace key individuals, topics, and historical events that have contributed to the body of knowledge in this field. This bibliometric analysis includes published research in the form of articles, conference papers, and book chapters that helps determine the global impact of publications in a research community. This review paper discusses how to use bibliometric studies in R as well as how to effectively perform bibliometric studies. The visualization makes it easy to see and understand different ideas in the research field of predicting plant diseases.
今天的社会围绕着人工智能，并依赖于它的各种业务，比如农业，他们想把它作为一种工具。我们应该担心，因为人们每年浪费大约16亿吨主食。我们正在慢慢地认识到这一点，并实施新的技术，如食品保存和作物护理。本文采用文献综述和文献计量分析的方法，对2016年至2022年“植物病害”一词的存在和发展进行了研究。这项研究的主要目的是研究支持使用这一战略的关于预防植物疾病的经验证据的数量和质量。研究人员认识到并确认了这一研究主题的重要性，并为帮助未来的研究人员实现信息和技术之间的战略协调提供了巨大的希望。Web of Science的文献计量方法已经被用来分析关于这个主题的总共1000份出版物。这项研究将对那些希望提高对植物病害的理解并追踪对该领域知识体系做出贡献的关键人物、主题和历史事件的学者和实践者产生极大的兴趣。这种文献计量分析包括以文章、会议论文和书籍章节的形式发表的研究，这些研究有助于确定出版物在研究社区中的全球影响。本文讨论了如何在R中使用文献计量学研究，以及如何有效地进行文献计量学研究。可视化可以方便地看到和理解植物病害预测研究领域的不同观点。
{"title":"WoS-Driven Bibliometric Analysis on Plant Disease Prediction Model","authors":"ChanderRekha Thakur, Ajay Kumar","doi":"10.1109/ICECCT56650.2023.10179663","DOIUrl":"https://doi.org/10.1109/ICECCT56650.2023.10179663","url":null,"abstract":"Today's society revolves around artificial intelligence and relies on it for various businesses, like agriculture, where they want to use it as a tool. We should be worried because people waste about 1.6 billion metric tons of staple foods every year. We are slowly realizing this and implementing new techniques like food preservation and crop care. Using a literature review and bibliometric analysis, this article presents study findings exploring the existence and growth of the phrase “plant diseases” from 2016 to 2022. The main aim of this study is to look at the quantity and quality of empirical evidence on the prevention of plant diseases that supports the use of this strategy. The researchers recognized and confirmed that this topic of study is important and holds great promise for helping future researchers achieve strategic alignment between information and technology. The Web of Science bibliometric methodology has been used to analyze a total of 1000 publications on this topic. This research will be of great interest to academics and practitioners who wish to improve their understanding of plant diseases and trace key individuals, topics, and historical events that have contributed to the body of knowledge in this field. This bibliometric analysis includes published research in the form of articles, conference papers, and book chapters that helps determine the global impact of publications in a research community. This review paper discusses how to use bibliometric studies in R as well as how to effectively perform bibliometric studies. The visualization makes it easy to see and understand different ideas in the research field of predicting plant diseases.","PeriodicalId":180790,"journal":{"name":"2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114805745","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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