2023 2nd International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA)最新文献

{"title":"Alumni Management and Networking System","authors":"Rajini S, Hari Prasad B, Upendrasingh A","doi":"10.1109/ICAECA56562.2023.10200060","DOIUrl":"https://doi.org/10.1109/ICAECA56562.2023.10200060","url":null,"abstract":"The Alumni Management and Networking System aims to address the challenges of alumni disconnection and facilitate effective communication and engagement between educational institutions and their alumni. The system provides a platform for institutes to create profiles, connect with fellow alumni and offers opportunities for alumni to contribute to the institution's success through mentorship, volunteering, and other forms of support. This paper reviews existing research on alumni management systems, highlighting their strengths, limitations, and gaps. It evaluates different approaches such as centralized systems, data collection methods, interactive questionnaires, secure messaging, and tag recommendation systems. The proposed Alumni Network Management System incorporates content-based tagging, utilizing a fine-tuned BERT model trained on a dataset of 10,000 Twitter posts. This approach generates relevant tags for new social media posts, enhancing content visibility and discoverability. Additionally, it employs end-to-end encryption for secure messaging, ensuring privacy and confidentiality. The system's implementation has been tested successfully, showcasing its user-friendliness and effectiveness in managing alumni databases. The results indicate that the system provides a convenient platform for alumni to update their information, stay connected, and engage with their alma mater.","PeriodicalId":401373,"journal":{"name":"2023 2nd International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131022520","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}

{"title":"Two Element MIMO Antenna design for Wireless Applications","authors":"Allin Joe D, K. Madhumitha, B. S. R. Prabhaa, P. Dharshanya","doi":"10.1109/ICAECA56562.2023.10200252","DOIUrl":"https://doi.org/10.1109/ICAECA56562.2023.10200252","url":null,"abstract":"Multiple-input multiple-output (MIMO) antennas are materialized to be a critical technology for achieving high data concerns and improved network competence in fifth generation (5G) wireless communication systems. The implementation of MIMO technology in 5G systems requires the development of compact and efficient antenna systems that can support many antennas as a single system or module. MIMO antennas can provide spatial diversity and multiplexing, which can adjust the reliability, robustness, and competence of the wireless communication systems. MIMO systems help to achieve increased performance in conditions of data rate and link reliability. The proposed 1 X 2 MIMO antenna design operates at a frequency spectrum range of 5 to 7 GHz, which is commonly utilized in various wireless communication applications as well as other domains like Internet of Things (IoT) applications. The antenna materials are made of copper and are designed on a FR4 substrate with a dielectric constant of 4.4 and a thickness ranging of 1.6 mm. The emanating constituents are designed in such a way that they can achieve a compact and efficient antenna design. Feeding network of the multiple antenna system is vital and does complex performance. The feeding network splits the input signal equally into two signals, which are then fed to the radiating foundations of both antennas. It also helps to combine the signals received by the radiating elements of both antennas, resulting in an overall improvement in the received signal strength. The implementation of the anticipated MIMO antenna design is evaluated in terms of the return loss, radiation pattern, and segregation between the antennas. The findings are viewed such that the anticipated MIMO antenna design needs low return loss, omnidirectional radiation pattern, and high isolation between the antennas, achieving it appropriate for wireless communication purposes. The proposed design is simple and cost-effective, making it easy to integrate into several wireless communication systems. The antenna can be further optimized for specific applications, such as IoT devices, mobile communications, or wireless sensor networks, by adjusting the frequency range, substrate material, or antenna dimensions.","PeriodicalId":401373,"journal":{"name":"2023 2nd International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA)","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123162915","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}

{"title":"Route Optimization of Raw-Milk Collection from Small Farmers located in Remote Villages in India","authors":"Jaisankar. S, J. c, Vinothini. V","doi":"10.1109/ICAECA56562.2023.10201195","DOIUrl":"https://doi.org/10.1109/ICAECA56562.2023.10201195","url":null,"abstract":"Inbound milk-run routing is a challenging problem that deals with the collection of raw-milk from remote villages to the dairy processing plants, especially in developing countries. The paper focuses on inbound logistics, which involves the gathering of raw-milk from farm producers and transferring the milk to the processing plant. The objectives of the study are to underpin the theoretical foundation of the routing problem and to optimize the inbound milk-run route of a dairy processing plant to reduce the cost of transportation. One of the processing units of a leading dairy company located in Madurai, a Tier II city in India, is the focal point of the study. The raw milk is collected from multiple small and remote villages in Madurai district and transported to the processing plant via nine milk-run routes. In order to optimize the milk-run routes involved in the collection of milk and to lower the transportation cost, the problem has been formulated as a traveling-salesman problem. Applying the genetic algorithm technique, the route optimization is achieved using Excel solver. Based on the output, five milk-run routes are altered and rerouted to reduce the total distance traveled. The proposed optimization model reduces the transportation costs significantly.","PeriodicalId":401373,"journal":{"name":"2023 2nd International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123169619","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}

{"title":"An Efficient Detection of Intracranial Hematoma Using Window-Based Stacking and YOLOv5 Framework","authors":"V. V, Anjan Gudigar, R. U., Sudipta Basak, Sankalp Mallappa, Ajay Hegde, G. Menon","doi":"10.1109/ICAECA56562.2023.10200714","DOIUrl":"https://doi.org/10.1109/ICAECA56562.2023.10200714","url":null,"abstract":"Traumatic brain injury (TBI) is a burgeoning medical disorder across the world particularly among young adults and children. TBI can cause intracranial hematoma (ICH), a lethal condition which requires prompt and accurate interpretation of computed tomography (CT) images for timely diagnosis and treatment. Since manual detection of CT images is a tedious and operator-dependent task, a deep learning framework is proposed for locating and categorizing ICH for improved diagnostic performance. Firstly, the input images are processed by using various techniques such as local directional pattern, local binary pattern, and windowing. Then the single stage YOLOv5 object detection model with faster spatial pyramid pooling is applied to detect hematoma regions of various types in the brain. The proposed model using windowing approach realized an overall mAP of 0.969, precision of 0.945 and recall of 0.943. The experimental results from the research study demonstrated that the suggested framework can help radiologists in strategic decision-making and improve quality care to the patients.","PeriodicalId":401373,"journal":{"name":"2023 2nd International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115655292","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}

{"title":"An Efficient Solar Powered Refrigerator","authors":"Yashwandra G, S. V, Dhananathan D, A. S.","doi":"10.1109/ICAECA56562.2023.10199310","DOIUrl":"https://doi.org/10.1109/ICAECA56562.2023.10199310","url":null,"abstract":"Developing countries have a growing interest in refrigeration for food and vaccine preservation. Simple solar powered refrigeration working without electricity would be very valuable in rural areas. In regions with sunshine, solar radiation is the most easily accessible energy source. This refrigeration can keep perishable goods like meat, and vegetables and is used to maintain vaccinations at the proper temperature in-order to prevent deterioration. Based on various research, solar refrigeration system has several advantages. It helps in calling the demands of energy conservation and protection of the environment like releasing gases like CFC, HCFC, and so on. This paper deals with the prototype modelling of solar powered refrigerator. The simulation is done in MATLAB tool and identified Zeta converter is the perfect module for the hardware prototype model. The simulation and the hardware results gives satisfactory performance.","PeriodicalId":401373,"journal":{"name":"2023 2nd International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA)","volume":"2001 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116890409","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}

{"title":"Forest Fire Detection Based on Light-Weight Deep Neural Networks","authors":"Shenbagam Palanisamy, Deepikaa Easwaran","doi":"10.1109/ICAECA56562.2023.10201047","DOIUrl":"https://doi.org/10.1109/ICAECA56562.2023.10201047","url":null,"abstract":"Fire outbreaks are a common occurrence and the damages triggered by these events are significant to both nature and humans. Vision-centered fire detection systems have just lately acquired appeal as compared with conventional sensor-based fire discovery system. The complex and multifaceted nature of forest fires provide both benefits and risks to natural ecosystems and human communities. Forest fires can result in severe harm to the biological and environmental aspects of forest ecosystems, as well as create substantial hazards to human well-being and safety. Effective forest management strategies are necessary to balance these potential benefits and risks, ensuring the long-term sustainability and resilience of forest ecosystems. Automated recognition of Forest fire disasters is therefore an essential area to research in order to reduce catastrophes. Very early fire discovery can likewise assistance decision-makers strategy reduction techniques and snuffing out strategies. This study takes a look at fire/smoke discovery from pictures utilizing AI-based computer system vision methods. Nevertheless, the discovery procedure by picture refining method is really precise however computational effectiveness is bad because of its complicated design. By suggesting a fire discovery formula utilizing ShuffleNet style centered Convolutional Neural Networks, high-accuracy fire picture discovery is accomplished, which works in discovery of fire by smaller sized gadgets like mobiles and drones.","PeriodicalId":401373,"journal":{"name":"2023 2nd International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117310518","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}

{"title":"Sentimental Analysis Of CBDC Tweets Using Machine Learning and Deep Learning Techniques","authors":"S. Sangeetha, A. Latha, Mukesh D","doi":"10.1109/ICAECA56562.2023.10199561","DOIUrl":"https://doi.org/10.1109/ICAECA56562.2023.10199561","url":null,"abstract":"India is in digital spree, and it is forerunner in many streams. Central bank digital currency has been in many countries and it is under the process of testing in many nations. India had move one step ahead and have gone to pilot testing in recent time. Understanding public sentiments towards Central Bank Digital Currency by conducting sentiment analysis using tweets is the major objective of this research. The researchers have used the Twitter data to understand the public perception and sentiment towards digital currency using machine learning and deep learning techniques. The intention is to trace patterns and trends in the data to gain insights into the digital currency and to find the people reaction towards digital currency. The authors have utilized the natural language processing techniques and machine learning algorithms in Python to analyse the data and generate results.","PeriodicalId":401373,"journal":{"name":"2023 2nd International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA)","volume":"190 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117335919","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}

{"title":"A Novel Dual Band Slotted PIFA Antenna for Vehicle to Vehicle And Vehicle to Infrastructure Communication","authors":"U. S., A. S, V. R, Francis Ajay M, R. R","doi":"10.1109/ICAECA56562.2023.10199297","DOIUrl":"https://doi.org/10.1109/ICAECA56562.2023.10199297","url":null,"abstract":"Many automobile antennas are needed, all of which must be installed on the car body due to the fast expansion of new cellular communication systems on various frequency ranges and the advent of satellite navigation systems in contemporary cars. Many automobile antennas are needed, all of which must be installed on the car body due to the fast development of new cellular communication systems on various frequency ranges and the advent of satellite navigation systems in contemporary cars. Many automobile antennas are needed, all of which must be installed on the car body due to the fast expansion of new cellular communication systems on various frequency ranges and the advent of satellite navigation systems in contemporary cars. Many automobile antennas are needed, all of which must be installed on the car body due to the fast development of new cellular communication systems on various frequency ranges and the advent of satellite navigation systems in contemporary cars. The antenna is designed with a u slot shaped PIFA antenna based structure and the results are obtained for 3.5 Ghz and 5.8 Ghz with return loss of -28 db and -42 db respectively","PeriodicalId":401373,"journal":{"name":"2023 2nd International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116279377","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}

{"title":"Secure Data Transmission using Hybrid Crypto Processor based on AES and HMAC Algorithms","authors":"U. S., Vishal N R, Pragadesh N R, Lavanya S","doi":"10.1109/ICAECA56562.2023.10200277","DOIUrl":"https://doi.org/10.1109/ICAECA56562.2023.10200277","url":null,"abstract":"In today's digital age, vulnerabilities in digital platforms have become a major concern, as cyber-attacks can lead to significant financial losses and privacy breaches. Encryption and authentication algorithms, such as AES and HMAC, are commonly used to secure digital platforms. However, running these algorithms in software can burden the CPU, leading to inefficiencies and potential security vulnerabilities. In this proposed paper, the implementation of a crypto-processor based on AES and HMAC to address the inefficiencies of software-based encryption and authentication. Our implementation uses AES for encryption and HMAC for integrity and authentication. By implementing these functions in hardware, we achieve greater efficiency and security, while reducing resource consumption and power usage. Our proposed crypto-processor design provides an efficient and secure solution for digital platform security, improving the overall performance of cryptographic operations. We demonstrate the effectiveness of our design through a comparison with software-based implementations of AES and HMAC, showing that our design provides a significant improvement in terms of throughput, latency, and power consumption. Our research contributes to the ongoing efforts to improve the security and efficiency of digital platforms, helping to protect sensitive data and ensure the privacy of users. Our proposed crypto-processor design provides a cost-effective and scalable solution for securing digital platforms, making it suitable for a wide range of applications in both commercial and government sectors.","PeriodicalId":401373,"journal":{"name":"2023 2nd International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129615594","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}

{"title":"Automatic Tealeaf Disease Detection Using Machine and Deep Learning Method","authors":"R. Praba, P.Abarna, Dr.K.Kavitha, K.Shupriyaa, S.Abinaya, Dr.S.N.Shivappriya","doi":"10.1109/ICAECA56562.2023.10200312","DOIUrl":"https://doi.org/10.1109/ICAECA56562.2023.10200312","url":null,"abstract":"Agriculture is a main source of livelihood. In everyday life, the tea plant is the most cultivatable plant in the highlands. Most farmers in India have turned to manual labor due to a lack of experience and technological understanding. When plants are infected with a variety of diseases, it has an impact on losses. In tea farming, the most profitable part of the plant is on the top. This leaf is quickly infected by illnesses. Farmers face a difficult task in identifying illnesses in tea plant leaves. Finding diseases in tea plant leaves is a challenge for the farmers. The purpose of this research is to build a CNN model using large datasets. To detect tea plant diseases from images, we developed CNN architecture, including Inception-V3, Googlenet, and Resnet-110. We also developed a machine learning model, the SVM classifier, to forecast diseases, prescribe pesticides, and compare machine and deep learning models.","PeriodicalId":401373,"journal":{"name":"2023 2nd International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127052066","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}