Pub Date : 2023-02-22DOI: 10.1109/ICECCT56650.2023.10179632
K. Rajesh, I. Emerson, A. Ramkumar, R. Jenitha, B. Baranitharan
Lack of energy storage technology is a key worry in the period of increased global demand for electricity. The use of solar energy is on the rise and is more efficient at producing power. The utilization of solar energy has expanded to include home and commercial applications. An island mode is utilized in battery storage in off-grid power distribution systems. Off-grid power is a standalone mode that is used for household purposes in the power distribution system. The goal of my project is to create an off-grid power system in my house that stores energy in batteries. The nearby homes receive the generated electricity from the off-grid system in exchange for payment. As a result, electricity is distributed through a particular non-EB supply at the moment it is distributed through a nearby home in wireless mode. Using an Arduino with a GSM module in wireless mode. The quantity of energy used by the nearby homes is computed using the readings from the energy meters. For the outputs, the MATLAB/SIMULINK program is used to test the proposed system's functionality. The EB Distribution box uses sensors and control systems to supply power to the neighboring homes.
{"title":"Smart Power-Sharing System for Dormant Domestic Consumers using Green Energy using Wireless Networks","authors":"K. Rajesh, I. Emerson, A. Ramkumar, R. Jenitha, B. Baranitharan","doi":"10.1109/ICECCT56650.2023.10179632","DOIUrl":"https://doi.org/10.1109/ICECCT56650.2023.10179632","url":null,"abstract":"Lack of energy storage technology is a key worry in the period of increased global demand for electricity. The use of solar energy is on the rise and is more efficient at producing power. The utilization of solar energy has expanded to include home and commercial applications. An island mode is utilized in battery storage in off-grid power distribution systems. Off-grid power is a standalone mode that is used for household purposes in the power distribution system. The goal of my project is to create an off-grid power system in my house that stores energy in batteries. The nearby homes receive the generated electricity from the off-grid system in exchange for payment. As a result, electricity is distributed through a particular non-EB supply at the moment it is distributed through a nearby home in wireless mode. Using an Arduino with a GSM module in wireless mode. The quantity of energy used by the nearby homes is computed using the readings from the energy meters. For the outputs, the MATLAB/SIMULINK program is used to test the proposed system's functionality. The EB Distribution box uses sensors and control systems to supply power to the neighboring homes.","PeriodicalId":180790,"journal":{"name":"2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT)","volume":"55 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":"117299458","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/ICECCT56650.2023.10179775
S. L. Kumar, M. Aaditi, R. M. Devi, N. Soniya, M. Maniventhan
People with loss of lower or upper extremity function are common in individuals of the aging population, people with disability post-stroke, fracture, and other neurological damage. Physiotherapy is an essential treatment for people with a disability regularly. Physiotherapists use various diagnosis, rehabilitation, and health promotion devices to promote, maintain or restore patient health. Rehabilitation exercise machines are present in rehabilitation centers and hospitals in India. It requires the presence of physiotherapists and tracks a patient's improvement status based on daily exercises. To decrease the workload of physiotherapists, telerehabilitation systems are developed. Using Information and Communication Technology (ICT), a similar rehabilitation exercise machine is developed in such a way that provides physiotherapy exercises and has continuous monitoring of a patient's improvement status.
{"title":"Design and Development of PhysioBot for upper-limb Telerehabilitation Applications","authors":"S. L. Kumar, M. Aaditi, R. M. Devi, N. Soniya, M. Maniventhan","doi":"10.1109/ICECCT56650.2023.10179775","DOIUrl":"https://doi.org/10.1109/ICECCT56650.2023.10179775","url":null,"abstract":"People with loss of lower or upper extremity function are common in individuals of the aging population, people with disability post-stroke, fracture, and other neurological damage. Physiotherapy is an essential treatment for people with a disability regularly. Physiotherapists use various diagnosis, rehabilitation, and health promotion devices to promote, maintain or restore patient health. Rehabilitation exercise machines are present in rehabilitation centers and hospitals in India. It requires the presence of physiotherapists and tracks a patient's improvement status based on daily exercises. To decrease the workload of physiotherapists, telerehabilitation systems are developed. Using Information and Communication Technology (ICT), a similar rehabilitation exercise machine is developed in such a way that provides physiotherapy exercises and has continuous monitoring of a patient's improvement status.","PeriodicalId":180790,"journal":{"name":"2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT)","volume":"101 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":"123220831","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/ICECCT56650.2023.10179664
Priya Darshini B, D. N., Gokul B, S. B
Preclinical research, clinical diagnosis, and treatment can all benefit from the information that a medical image can offer. Due to the increased usage of digital medical imaging, numerous researchers are actively creating medical image processing algorithms and systems to provide the clinical community with improved results, such as accurate clinical parameters or processed images from the original images. We describe a Web-based DICOM reader in this work that was created solely using web technology, specifically Python, Streamlit, and Docker. When it comes to programming languages, Python has established itself as a competitor to MATLAB and Julia, two prominent scientific programming languages. In this work, we examine the potential of Python and Docker as co-implementers of the DICOM viewer. A demonstration field is available to new users, for learning purposes. Three different types of image planes namely axial, coronal, and sagittal are also available, which helps doctors readily detect cancers. Additionally, we can adjust the image plane's threshold levels to suit our needs. We also provide a JSON version of the website for use in forthcoming research initiatives.
{"title":"A Web-based Dicom Image and Plane Viewer","authors":"Priya Darshini B, D. N., Gokul B, S. B","doi":"10.1109/ICECCT56650.2023.10179664","DOIUrl":"https://doi.org/10.1109/ICECCT56650.2023.10179664","url":null,"abstract":"Preclinical research, clinical diagnosis, and treatment can all benefit from the information that a medical image can offer. Due to the increased usage of digital medical imaging, numerous researchers are actively creating medical image processing algorithms and systems to provide the clinical community with improved results, such as accurate clinical parameters or processed images from the original images. We describe a Web-based DICOM reader in this work that was created solely using web technology, specifically Python, Streamlit, and Docker. When it comes to programming languages, Python has established itself as a competitor to MATLAB and Julia, two prominent scientific programming languages. In this work, we examine the potential of Python and Docker as co-implementers of the DICOM viewer. A demonstration field is available to new users, for learning purposes. Three different types of image planes namely axial, coronal, and sagittal are also available, which helps doctors readily detect cancers. Additionally, we can adjust the image plane's threshold levels to suit our needs. We also provide a JSON version of the website for use in forthcoming research initiatives.","PeriodicalId":180790,"journal":{"name":"2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT)","volume":"236 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":"123345182","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/ICECCT56650.2023.10179780
S. Shanthi, R. Preethi
Weighted Aggregated Sum Product Assessment (WASPAS) is the consolidation of familiar MCDM patterns, Weighted Sum Model (WSM) and Weighted Product Model (WPM) which provides enhanced ranking accuracy. Electrochemical discharge machining (ECDM) process for creating micro-drills on silicon nitride a non-conducting ceramic is considered. The working of ECDM mechanism is predominantly affected by parameters such as voltage applied, electrolyte concentration and inter electrode gap. The appropriate parametric combinations to attain the preferred levels of mechanizing rate and accuracy are determined using WASPAS method.
{"title":"Analysis of Electrochemical discharge machining by bipolar fuzzy WASPAS method","authors":"S. Shanthi, R. Preethi","doi":"10.1109/ICECCT56650.2023.10179780","DOIUrl":"https://doi.org/10.1109/ICECCT56650.2023.10179780","url":null,"abstract":"Weighted Aggregated Sum Product Assessment (WASPAS) is the consolidation of familiar MCDM patterns, Weighted Sum Model (WSM) and Weighted Product Model (WPM) which provides enhanced ranking accuracy. Electrochemical discharge machining (ECDM) process for creating micro-drills on silicon nitride a non-conducting ceramic is considered. The working of ECDM mechanism is predominantly affected by parameters such as voltage applied, electrolyte concentration and inter electrode gap. The appropriate parametric combinations to attain the preferred levels of mechanizing rate and accuracy are determined using WASPAS method.","PeriodicalId":180790,"journal":{"name":"2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT)","volume":"136 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":"123481367","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/ICECCT56650.2023.10179657
K. Subhashini, R. Amutha
Information security is the most important thing in this digital era. This work proposes a novel new image encryption algorithm based on chaotic map. Four different chaotic sequences are generated using logistic map. The generated sequences are used to perform confusion and diffusion operation. The position of the pixels are scrambled using confusion operation. Bit level value manipulation is performed using diffusion operation. The results shows that the encryption algorithm can resist statistical and differential attacks and hence gives a better security compared to other encryption methods.
{"title":"A Novel Image Encryption Algorithm Based On Chaotic Map","authors":"K. Subhashini, R. Amutha","doi":"10.1109/ICECCT56650.2023.10179657","DOIUrl":"https://doi.org/10.1109/ICECCT56650.2023.10179657","url":null,"abstract":"Information security is the most important thing in this digital era. This work proposes a novel new image encryption algorithm based on chaotic map. Four different chaotic sequences are generated using logistic map. The generated sequences are used to perform confusion and diffusion operation. The position of the pixels are scrambled using confusion operation. Bit level value manipulation is performed using diffusion operation. The results shows that the encryption algorithm can resist statistical and differential attacks and hence gives a better security compared to other encryption methods.","PeriodicalId":180790,"journal":{"name":"2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT)","volume":"8 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":"124504169","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/ICECCT56650.2023.10179785
Vudutha Sravanthi, T. Annapurna, V. Krishna, B. Jyothi
Medical and health care have benefited greatly from IoT advancements. This technology helps both patients and doctors get a clear picture of a wide range of illnesses and make accurate diagnosis. The problem of low diagnostic accuracy in breast cancer diagnosis is, however, already included in the standard research approaches. Maintaining a strong foundation for breast cancer management and therapeutic advancement, early detection is essential. However, due to the nonappearance of indications in the early stages, early identification of cancer is challenging. As a result, cancer is still one area of medicine that scientists are working to advance in terms of detection, prevention, and therapy. The use of deep learning methods in mammogram processing has helped radiologists save money in recent years. In the current breast mass classification methods, deep learning knowledges like a (CNN). Although CNN-based systems have improved upon the pictures, several problems remain. Ignorance of semantic characteristics, analysis bound to the present patch of pictures, missing patches in low-contrast mammograms, and ambiguity in segmentation are all problems that need to be addressed. Because of these problems, this study's primary impartial is to create a deep learning-based system for classifying breast tumours in mammographic images as malignant or benign utilising two approaches: feature selection and classification. In this study, a recurrent neural network is employed for classification after the unnecessary data has been removed using the Sooty Tern Optimization Algorithm (STOA). Elite opposition-based learning optimally selects the weight and bias of Long-Short Term Memory (LSTM) (EOBL). Furthermore, two publicly accessible datasets of mammographic pictures are used to equivalence the projected approach to preexisting categorization systems. Comparative studies showed that the suggested strategy outperformed previously developed mammography categorization algorithms.
{"title":"STOA based Feature Selection with Improved LSTM Model for Breast Cancer Diagnosis in IoT","authors":"Vudutha Sravanthi, T. Annapurna, V. Krishna, B. Jyothi","doi":"10.1109/ICECCT56650.2023.10179785","DOIUrl":"https://doi.org/10.1109/ICECCT56650.2023.10179785","url":null,"abstract":"Medical and health care have benefited greatly from IoT advancements. This technology helps both patients and doctors get a clear picture of a wide range of illnesses and make accurate diagnosis. The problem of low diagnostic accuracy in breast cancer diagnosis is, however, already included in the standard research approaches. Maintaining a strong foundation for breast cancer management and therapeutic advancement, early detection is essential. However, due to the nonappearance of indications in the early stages, early identification of cancer is challenging. As a result, cancer is still one area of medicine that scientists are working to advance in terms of detection, prevention, and therapy. The use of deep learning methods in mammogram processing has helped radiologists save money in recent years. In the current breast mass classification methods, deep learning knowledges like a (CNN). Although CNN-based systems have improved upon the pictures, several problems remain. Ignorance of semantic characteristics, analysis bound to the present patch of pictures, missing patches in low-contrast mammograms, and ambiguity in segmentation are all problems that need to be addressed. Because of these problems, this study's primary impartial is to create a deep learning-based system for classifying breast tumours in mammographic images as malignant or benign utilising two approaches: feature selection and classification. In this study, a recurrent neural network is employed for classification after the unnecessary data has been removed using the Sooty Tern Optimization Algorithm (STOA). Elite opposition-based learning optimally selects the weight and bias of Long-Short Term Memory (LSTM) (EOBL). Furthermore, two publicly accessible datasets of mammographic pictures are used to equivalence the projected approach to preexisting categorization systems. Comparative studies showed that the suggested strategy outperformed previously developed mammography categorization algorithms.","PeriodicalId":180790,"journal":{"name":"2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT)","volume":"4 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":"124806081","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/ICECCT56650.2023.10179799
M. Seenivasan, F. Patricia
This paper presents an analysis of a finite size queueing model subject to catastrophe, restoration and balking. Whenever a catastrophe happens to a system, all the customers are removed from it instantly. So, the system needs some sort of time to regain its state to accept new customers. The time taken by the system is restoration time. Balking is nothing but when the customers are not willing to join the queue because of its length. The model has its performance measures after solved by matrix geometric method. Numerical illustrations and some graphical representations are presented.
{"title":"Model of Markovian Queue with Catastrophe, Restoration and Balking","authors":"M. Seenivasan, F. Patricia","doi":"10.1109/ICECCT56650.2023.10179799","DOIUrl":"https://doi.org/10.1109/ICECCT56650.2023.10179799","url":null,"abstract":"This paper presents an analysis of a finite size queueing model subject to catastrophe, restoration and balking. Whenever a catastrophe happens to a system, all the customers are removed from it instantly. So, the system needs some sort of time to regain its state to accept new customers. The time taken by the system is restoration time. Balking is nothing but when the customers are not willing to join the queue because of its length. The model has its performance measures after solved by matrix geometric method. Numerical illustrations and some graphical representations are presented.","PeriodicalId":180790,"journal":{"name":"2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT)","volume":"16 21","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113976797","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/ICECCT56650.2023.10179817
M. S. S. V. N. K. R. R. Anirudh, N. Vatsa, P. Vivek, M. Vinodhini
In the recent years, the general trend in the embedded industries is to integrate the different hardware modules in a single Integrated Chip (IC) to form System on Chip (SoC). SoCs are hugely preferred in the high performance computing industries. Network on Chip (NoCs) was introduced to enhance the scalability of SoCs. NoC concepts brought prominent progress over conventional communication architectures used in SoCs. In this work, an effective coding design is proposed for communicating the information in SoC through serial communicating NoC links. This coding technique generates the bit patterns with less switching activity to develop a low power dissipating NoC links. The proposed Nibble based Two Bit Invert (NTBI) coding technique approach minimizes the overall switching activities by using bit invert approach for the serial communicating NoC links. The NTBI coding technique is designed using Modelsim and Cadence genus 45 nm technology is used for implementation. The results of this experiment show that the proposed method occupies 57.99% less area and 65.02 % less delay when compared to the available coding technique.
近年来，嵌入式行业的大趋势是将不同的硬件模块集成在单个集成芯片(IC)上，形成片上系统(SoC)。soc在高性能计算行业中非常受欢迎。为了提高soc的可扩展性，引入了片上网络(NoCs)。与soc中使用的传统通信架构相比，NoC概念带来了显著的进步。本文提出了一种有效的编码设计，通过串行通信NoC链路来实现SoC中的信息通信。这种编码技术产生的位模式具有较少的开关活动，以开发低功耗的NoC链路。提出的基于Nibble的两比特反转(NTBI)编码技术方法通过对串行通信NoC链路使用位反转方法来最小化总体切换活动。NTBI编码技术采用Modelsim设计，采用Cadence genus 45 nm技术实现。实验结果表明，与现有的编码技术相比，该方法占用的面积减少了57.99%，延迟减少了65.02%。
{"title":"Nibble Based Two Bit Invert Coding Technique for Serial Network on Chip Links","authors":"M. S. S. V. N. K. R. R. Anirudh, N. Vatsa, P. Vivek, M. Vinodhini","doi":"10.1109/ICECCT56650.2023.10179817","DOIUrl":"https://doi.org/10.1109/ICECCT56650.2023.10179817","url":null,"abstract":"In the recent years, the general trend in the embedded industries is to integrate the different hardware modules in a single Integrated Chip (IC) to form System on Chip (SoC). SoCs are hugely preferred in the high performance computing industries. Network on Chip (NoCs) was introduced to enhance the scalability of SoCs. NoC concepts brought prominent progress over conventional communication architectures used in SoCs. In this work, an effective coding design is proposed for communicating the information in SoC through serial communicating NoC links. This coding technique generates the bit patterns with less switching activity to develop a low power dissipating NoC links. The proposed Nibble based Two Bit Invert (NTBI) coding technique approach minimizes the overall switching activities by using bit invert approach for the serial communicating NoC links. The NTBI coding technique is designed using Modelsim and Cadence genus 45 nm technology is used for implementation. The results of this experiment show that the proposed method occupies 57.99% less area and 65.02 % less delay when compared to the available coding technique.","PeriodicalId":180790,"journal":{"name":"2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT)","volume":"7 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":"113977928","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/ICECCT56650.2023.10179627
V. Prithivirajan, Divya Gampala, Rajesh Kumar D
This article describes a dual band CSRR-loaded monopole antenna that operates between 4.2 - 5.15 GHz and 5.5 - 6.8 GHz frequency bands. The suggested CSRR-inspired antenna is printed on a standard FR4 substrate that is just 1.6 mm thick. Antennas that are cheap, thin, small, and have a wide frequency range are in more demand than ever as communication technology develops and 5G services become more popular. Thus, this study offers a metamaterial-inspired antenna that can operate throughout the whole range of frequencies used by 5G networks. The antenna may reach an impressive 88-90% efficiency over its entire operating spectrum, with a gain of roughly 1.5 dBi. The antenna's omnidirectional radiation pattern ensures full coverage for 5G devices in all directions. The findings of this study suggest that the suggested antenna may be a viable option for 5G cellular communications in the future.
{"title":"A Compact Co-Planar Antenna for 5G/WLAN/Vehicular Communication with Stop-Band Charecteristics","authors":"V. Prithivirajan, Divya Gampala, Rajesh Kumar D","doi":"10.1109/ICECCT56650.2023.10179627","DOIUrl":"https://doi.org/10.1109/ICECCT56650.2023.10179627","url":null,"abstract":"This article describes a dual band CSRR-loaded monopole antenna that operates between 4.2 - 5.15 GHz and 5.5 - 6.8 GHz frequency bands. The suggested CSRR-inspired antenna is printed on a standard FR4 substrate that is just 1.6 mm thick. Antennas that are cheap, thin, small, and have a wide frequency range are in more demand than ever as communication technology develops and 5G services become more popular. Thus, this study offers a metamaterial-inspired antenna that can operate throughout the whole range of frequencies used by 5G networks. The antenna may reach an impressive 88-90% efficiency over its entire operating spectrum, with a gain of roughly 1.5 dBi. The antenna's omnidirectional radiation pattern ensures full coverage for 5G devices in all directions. The findings of this study suggest that the suggested antenna may be a viable option for 5G cellular communications in the future.","PeriodicalId":180790,"journal":{"name":"2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT)","volume":"5 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":"124291983","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/ICECCT56650.2023.10179708
P. Banerjee, A. Chakrabarti, T. K. Ballabh
In recent days to deal with the major problem of increasing data size, Clustering is a highly useful tool that not only helps in shrinking the dataset by grouping them into clusters but also finds hidden information from the unlabeled data. The Complete Linkage algorithm is a highly preferred distance-based Hierarchical Clustering algorithm that provides compact clusters but suffers from the disadvantage of high convergence time. This algorithm needs the entire dataset in advance to take a clustering decision and hence is unsuitable for “on the fly” data clustering. This paper presents a two-staged partially incremental Complete Linkage Clustering algorithm that partially clusters data alongside the collection. The proposed method without compromising the space complexity reduces a lot of redundant distance computations thereby reducing the runtime of the algorithm to a much lower value. Although the clustering result may slightly deviate from the original Complete Linkage algorithm, the characteristics of the Complete Linkage Clusters are always met in all scenarios under any given threshold. The advantage of this algorithm over the existing methods has been verified experimentally.
{"title":"An Efficient and Speedy approach for Hierarchical Clustering Using Complete Linkage method","authors":"P. Banerjee, A. Chakrabarti, T. K. Ballabh","doi":"10.1109/ICECCT56650.2023.10179708","DOIUrl":"https://doi.org/10.1109/ICECCT56650.2023.10179708","url":null,"abstract":"In recent days to deal with the major problem of increasing data size, Clustering is a highly useful tool that not only helps in shrinking the dataset by grouping them into clusters but also finds hidden information from the unlabeled data. The Complete Linkage algorithm is a highly preferred distance-based Hierarchical Clustering algorithm that provides compact clusters but suffers from the disadvantage of high convergence time. This algorithm needs the entire dataset in advance to take a clustering decision and hence is unsuitable for “on the fly” data clustering. This paper presents a two-staged partially incremental Complete Linkage Clustering algorithm that partially clusters data alongside the collection. The proposed method without compromising the space complexity reduces a lot of redundant distance computations thereby reducing the runtime of the algorithm to a much lower value. Although the clustering result may slightly deviate from the original Complete Linkage algorithm, the characteristics of the Complete Linkage Clusters are always met in all scenarios under any given threshold. The advantage of this algorithm over the existing methods has been verified experimentally.","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":"129784642","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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