2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS)最新文献_第8页

Robotic Day-Care for Pets using Sensors and Raspberry Pi 使用传感器和树莓派的宠物机器人日托

2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS) Pub Date : 2023-06-14 DOI: 10.1109/ICSCSS57650.2023.10169742

Maya Bembde, Nihar M. Ranjan, Prathmesh Kamble, Aditi Chavan, Aditya Yelmar, Rohan Mane

{"title":"Robotic Day-Care for Pets using Sensors and Raspberry Pi","authors":"Maya Bembde, Nihar M. Ranjan, Prathmesh Kamble, Aditi Chavan, Aditya Yelmar, Rohan Mane","doi":"10.1109/ICSCSS57650.2023.10169742","DOIUrl":"https://doi.org/10.1109/ICSCSS57650.2023.10169742","url":null,"abstract":"Pets require particular treatment and care. This chore is no longer as straightforward as it once was due to everyone’s hectic lifestyle. The goal of this project is to introduce, design, and begin implementing a smart pet care gadget. The contact between humans and physical technologies throughout the world is growing in popularity, and it necessitates the employment of a natural and intuitive manner. Life has become increasingly important in terms of this concept and living well. Thus, the most recent challenge has been how to rear pets in a basic manner. This research looks at how the Internet of Things may improve human animal connection by being flexible with computing, communication, and control technologies. This research focuses on the advancement of location awareness in pets and helps pet parents simply train their animals to manage their behavior when it comes to feeding and exercise. Pets require particular treatment and care since people like to keep them. Keeping pets is, therefore, not an easy chore. This model wishes to provide the pet food on time. However, due to a hectic schedule, folks are unable to do so. We’ve devised a clever pet feeder system. This can be useful for feeding pets at any time. The owners will be prepared to feed their pets no matter where they are","PeriodicalId":217957,"journal":{"name":"2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122739764","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}

引用次数: 0

An Investigation into Round Robin and Random Algorithms for the Purpose of Load Balancing on Web Servers in SDN Environments 基于轮循和随机算法的SDN环境下Web服务器负载均衡研究

2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS) Pub Date : 2023-06-14 DOI: 10.1109/ICSCSS57650.2023.10169404

S. Kadam, D. Ingle, Tushar Tanaji Jadhav, Hitesh Lakshmidhar Damal, A. Kadam, Aditya Nagesh Kale

{"title":"An Investigation into Round Robin and Random Algorithms for the Purpose of Load Balancing on Web Servers in SDN Environments","authors":"S. Kadam, D. Ingle, Tushar Tanaji Jadhav, Hitesh Lakshmidhar Damal, A. Kadam, Aditya Nagesh Kale","doi":"10.1109/ICSCSS57650.2023.10169404","DOIUrl":"https://doi.org/10.1109/ICSCSS57650.2023.10169404","url":null,"abstract":"The Future of Computer Networks will be Software Defined Networks (SDN) as it is efficient and has the capabilities to replace the Traditional Networks due to the increasing number of nodes connected to the internet, it is becoming more difficult to adapt to the latest technology in order to maintain its scalability. This is why it is important that the research community is able to test the various aspects of Software-Defined Networking (SDN) to ensure that it can meet the requirements of the industry. Besides being able to provide a solution that can overcome the traditional network limitations, it also allows the researchers to develop a more robust and resilient network. One of the most common controllers used for implementing SDN features is the Ryu Controller. This research aims to provide a comprehensive analysis of the performance of this component in terms of load balancing, through a simulation tool known as Mininet, the researchers were able to perform various tests on the system. The framework known as the Ryu is a software-defined networking framework that is built on components. It allows developers to create easy-to-use control and management applications for network devices. It supports various protocols such as OpenFlow and OVSDB, Ryu fully supports OpenFlow versions 1.0, 1.2, 1.3, 1.4, 1.5, and Nicira Extensions.","PeriodicalId":217957,"journal":{"name":"2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123870551","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}

引用次数: 0

Rest API based Web Interface for Blogging Application 基于Rest API的博客应用程序Web接口

2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS) Pub Date : 2023-06-14 DOI: 10.1109/ICSCSS57650.2023.10169662

Adarsh Shahi, Ashish Barge, Atharva Butala, Sarita Patil

{"title":"Rest API based Web Interface for Blogging Application","authors":"Adarsh Shahi, Ashish Barge, Atharva Butala, Sarita Patil","doi":"10.1109/ICSCSS57650.2023.10169662","DOIUrl":"https://doi.org/10.1109/ICSCSS57650.2023.10169662","url":null,"abstract":"The purpose this research study is to deliver a backend service for frontend developers with help of REST APIs, fulfilling their requirements and full-fledged software so that they can utilized their crucialtime on frontend part. The Rest API for blogging application as described above can lead to error free, secure, stable, reliable and quick requests/responses. It can give assistance to the clients to concentrate on their frontend development rather to concentrate on backend code. Thus the client can utilize the resources in better way. User records of clients can be maintained without redundant API calls. Client will send data in JSON format through API call which will be verified on our server and will be saved to DB. The client refers to the API documentation to structure the request in a manner that the server can comprehend The server validates the client’s identity and ensures that the client is authorized. Server will receive a request from the client. The client will send a request to the server and it will operate internally. In return server will convey a response to client. The response will be containing the information that will inform the client whether the request was successful or not. In response the client will get all the information requested. This will result in efficient and reliable communication between client and server.","PeriodicalId":217957,"journal":{"name":"2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124188892","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}

引用次数: 0

E-Commerce using Geo-Navigation 利用地理导航进行电子商贸

2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS) Pub Date : 2023-06-14 DOI: 10.1109/ICSCSS57650.2023.10169321

Samiksha Shankar Rawool, Yuga Ganesh Vasaikar, Neha Vijaykumar, Swati Varma

引用次数: 0

Non-Invasive Glucose Monitoring based on Single Wavelength using Augmented Reality 基于增强现实的单波长无创血糖监测

2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS) Pub Date : 2023-06-14 DOI: 10.1109/ICSCSS57650.2023.10169342

R. Rajalakshmi, A. Sweatha, S. Vasumithra, P. G

引用次数: 0

A Novel Machine Learning Technique for Diabetic Prediction in IoT-based Healthcare Monitoring System 基于物联网的医疗监测系统中糖尿病预测的新型机器学习技术

2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS) Pub Date : 2023-06-14 DOI: 10.1109/ICSCSS57650.2023.10169449

S. A. V. Jesuraj, R. Ganesh, Vinda Manjramkar, M. Sridharan, V. Dubey, M. Arun

{"title":"A Novel Machine Learning Technique for Diabetic Prediction in IoT-based Healthcare Monitoring System","authors":"S. A. V. Jesuraj, R. Ganesh, Vinda Manjramkar, M. Sridharan, V. Dubey, M. Arun","doi":"10.1109/ICSCSS57650.2023.10169449","DOIUrl":"https://doi.org/10.1109/ICSCSS57650.2023.10169449","url":null,"abstract":"The successful development of a diagnosis system to identify diabetes in the Internet of Things (IoT) e-healthcare scenario has gained considerable attention to implement accurate diabetes diagnosis. IoT is playing an increasingly important role in healthcare environment by providing a structure for evaluating medical information to detect diseases via data mining techniques. The existing diagnostic methods have some challenges, such as lengthy calculation times and inaccurate predictions. To evade the limitations, this article suggested an IOT-based diagnosis system that uses Machine Learning (ML) techniques. Through the dataset from UCI Repository with medical sensors, a novel systematic technique is utilized to treat diabetic disease, and relevant medical data is produced to precisely predict those who would be seriously impacted by the condition. For predicting the illness and its severity, a brand-new classification technique called Tuna Swarm optimization-Aided Neural Classifier (TSO-NN) is suggested (T. The experimentation is conducted in MATLAB and the performance is evaluated using accuracy, precision, and F1-score. Besides, the efficiency is tested and confirmed by comparing over SOTA methods.","PeriodicalId":217957,"journal":{"name":"2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129259357","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}

引用次数: 0

Few-Shot Learning with Feature Pairing and Mean Discrepancy 基于特征配对和均值差异的少镜头学习

2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS) Pub Date : 2023-06-14 DOI: 10.1109/ICSCSS57650.2023.10169437

Krishna Kumar Singh, K. Hima Bindu

{"title":"Few-Shot Learning with Feature Pairing and Mean Discrepancy","authors":"Krishna Kumar Singh, K. Hima Bindu","doi":"10.1109/ICSCSS57650.2023.10169437","DOIUrl":"https://doi.org/10.1109/ICSCSS57650.2023.10169437","url":null,"abstract":"Few-Shot Learning (FSL) is a sub-area of machine learning which mainly deals with data where there is a scarcity of training supervised samples. Few shot learning (FSL) more closely resembles the human brain in comparing new concepts to others based on prior experience rather than identifying it exactly. FSL aims to generalize the model across the tasks (in meta learning) opposed to the classical supervised learning which generalizes across the data points. In general the FSL models may suffer from underfitting because of scarcity of supervised samples and at the same time it causes overfitting as it is likely to memorize task specific features of the training set. This work aims to reduce such problems and is presented as a metric based model ”Few Shot Learning with Feature Pairing and Mean Discrepancy” (FL-FPMD). As the title suggests, feature pairing is one among various data augmentations. It is observed that flip augmentation is more suitable in the context of pairing the features within the given task. Memorizing task specific features is reduced by incorporating the discrepancy of mean distributions of the query and the support embedding in the loss function. The training and the evaluation is performed at the miniImageNet dataset and the results indicate that the proposed model outperforms the state-of-the-art models of similar complexity.","PeriodicalId":217957,"journal":{"name":"2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS)","volume":"18 4-5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129458161","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}

引用次数: 0

Development of Domestic Animals Shelter Environment Monitoring System using Internet of Things (IoT) 基于物联网的畜舍环境监测系统开发

2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS) Pub Date : 2023-06-14 DOI: 10.1109/ICSCSS57650.2023.10169332

M. Pillewan, Rahul Agrawal, Nikhil P. Wyawahare, L. Thakare

{"title":"Development of Domestic Animals Shelter Environment Monitoring System using Internet of Things (IoT)","authors":"M. Pillewan, Rahul Agrawal, Nikhil P. Wyawahare, L. Thakare","doi":"10.1109/ICSCSS57650.2023.10169332","DOIUrl":"https://doi.org/10.1109/ICSCSS57650.2023.10169332","url":null,"abstract":"In India, domestic animals play a major role in Indian economics. It is a parallel source of income for the farmer and is mostly used for work and service purposes. These animals are the most important assets of farmers, so their protection and survival in shelters are becoming major issues. Like the high and low temperatures of the animals shelters, drinking water level problems in the water tanks, harmful gases found in the animals shelters, and most of the time external animals enter the animal shelters, all these problems are faced by the animals in the shelters. In high temperatures, cow behavior changes and also affects the health of cows. If the drinking water level is low, this affects the milk production of the cow. Many times, an unknown person spreads flammable liquid near the animal shelter, which often ignites the fire in the shelter. For this reason, farmers lose their animals. Through the IoT, information and sustainable embedded solutions are provided through this research work. These devices monitor the animal shelter’s environmental parameters and send information about the shelter using Blynk Cloud. Using this app, the farmer can control the shed’s activity, and if anything harmful is found, this device will send an alert message to the farmer. The second part of this device is to check the security of the animal shelter. If any movement is found near the animal shelter, this instantly sends a warning to the farmer. For detection of any other movement of the animal, a PIR sensor is used. This sensor detects movement, sends an alert, and captures the image of any other animal using a Pi camera. This camera was used to capture the image if any harm was found. Using this device, farmers can solve the various problems of domestic animal shelters.","PeriodicalId":217957,"journal":{"name":"2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124585262","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}

引用次数: 0

A Study on Various Electric Vehicle Charging Technologies 各种电动汽车充电技术研究

2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS) Pub Date : 2023-06-14 DOI: 10.1109/ICSCSS57650.2023.10169328

Md. Faiyaz, D. Pranay, Ranjith Kumar Gatla, Sayanti Chatterjee

引用次数: 0

An Effective Framework for Detecting Epileptic Seizures using CNN and Encrypted EEG Signals 利用CNN和加密脑电图信号检测癫痫发作的有效框架

2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS) Pub Date : 2023-06-14 DOI: 10.1109/ICSCSS57650.2023.10169196

G. Pradeep, S. Bala, N. P. Satheesh, M. Mahalakshmi, K. Balasamy, S. Suganyadevi

{"title":"An Effective Framework for Detecting Epileptic Seizures using CNN and Encrypted EEG Signals","authors":"G. Pradeep, S. Bala, N. P. Satheesh, M. Mahalakshmi, K. Balasamy, S. Suganyadevi","doi":"10.1109/ICSCSS57650.2023.10169196","DOIUrl":"https://doi.org/10.1109/ICSCSS57650.2023.10169196","url":null,"abstract":"Electroencephalogram (EEG) signals may be used to autonomously diagnose epilepsy, eliminating the requirement for a medical professional’s involvement in the process. A good classification performance is really necessary if you do not want to pass up any possible discoveries. In this piece of research, the authors offer a technique for the automated identification of epilepsy using EEG waves. In order to extract features, the raw EEG signals were first put through a discrete Fourier transform, also known as a DFT, as well as a discrete wavelet transform (DWT). Therefore, researchers have been exploring different methods to improve the accuracy of EEG signal analysis. One such method proposed in this study is the Wavelet Transform based Fourier-Bessel series expansion (WT - FBSE) method. This method utilizes the WT - FBSE spectrum to segment multiple frame-size time-segmented EEG signals using the scale-space boundary detection method. The WT - FBSE technique decomposes the EEG signals into narrow sub-band signals, which are then used to extract various features such as log-energy-entropy (LEnt), line-length (LL), and norm-entropy (NEnt) from different frequency ranges. In order to choose the features that are most important, the relief-F feature ranking approach is applied. This helps to limit the amount of computing work that is required by the models. The study evaluates two time-segmentation approaches and four different frame sizes to analyse the EEG signals and achieves better performance when compared to the existing systems.","PeriodicalId":217957,"journal":{"name":"2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131295412","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}

引用次数: 0