2022 International Conference on Intelligent Innovations in Engineering and Technology (ICIIET)最新文献_第3页

Frequency Response Analysis of Octagonal Complementary Split Ring Resonator-Based Metamaterial 基于八角形互补裂环谐振器的超材料频响分析

2022 International Conference on Intelligent Innovations in Engineering and Technology (ICIIET) Pub Date : 2022-09-22 DOI: 10.1109/ICIIET55458.2022.9967658

S. K, E. B, Nandha Kumar T K, Lavanya B

引用次数: 2

Efficient Data Gathering and Routing Scheme Using Multiple Mobile Sink in Wireless Sensor Networks 无线传感器网络中使用多个移动Sink的高效数据采集和路由方案

2022 International Conference on Intelligent Innovations in Engineering and Technology (ICIIET) Pub Date : 2022-09-22 DOI: 10.1109/ICIIET55458.2022.9967643

R. Senthil Kumaran, K. Gayathri, K. Sheela, M. Jayasudha

{"title":"Efficient Data Gathering and Routing Scheme Using Multiple Mobile Sink in Wireless Sensor Networks","authors":"R. Senthil Kumaran, K. Gayathri, K. Sheela, M. Jayasudha","doi":"10.1109/ICIIET55458.2022.9967643","DOIUrl":"https://doi.org/10.1109/ICIIET55458.2022.9967643","url":null,"abstract":"WSN is often a technology used within an IoT system that assists in monitoring, tracking, and sensing different environmental activities when WSN is integrated into the IoT. They faced a major challenge due to excessive energy ingesting in their sensor nodes and network lifetime. Therefore, the fundamental issues in WSN are high energy consumption in nodes, packet delivery, routing distance, and packet delay. An energy-effective routing scheme that encompasses the system’s generation and recovers its performance and connectivity. Primarily, the sensing region is segregated into different regions depending on the organized sinks and deployed sensor nodes using random deployment. To locate the ideal location for the sinks and accumulate the information from sensor nodes, a sojourn location determination algorithm is constructed finally, using multi-objective evolutionary algorithms, sojourn location determination algorithms are used to analyze the optimized mobile sink paths. While the proposed work’s performance was assessed in terms of energy consumption, throughput, packet delivered ratio, packet loss, average routing length, and accomplishment time of the sinks Algorithms for determining sojourn location.","PeriodicalId":341904,"journal":{"name":"2022 International Conference on Intelligent Innovations in Engineering and Technology (ICIIET)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131357053","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: 1

Analog single event on low noise amplifier with no source inductor 在无源电感的低噪声放大器上模拟单事件

2022 International Conference on Intelligent Innovations in Engineering and Technology (ICIIET) Pub Date : 2022-09-22 DOI: 10.1109/ICIIET55458.2022.9967601

P. Rajendiran

引用次数: 0

Cryptocurrency Value Prediction with Boosting Models 基于提升模型的加密货币价值预测

2022 International Conference on Intelligent Innovations in Engineering and Technology (ICIIET) Pub Date : 2022-09-22 DOI: 10.1109/ICIIET55458.2022.9967540

S. Swati, Anuraj Mohan

{"title":"Cryptocurrency Value Prediction with Boosting Models","authors":"S. Swati, Anuraj Mohan","doi":"10.1109/ICIIET55458.2022.9967540","DOIUrl":"https://doi.org/10.1109/ICIIET55458.2022.9967540","url":null,"abstract":"Ensemble learning is a methodology that entails integrating a number of inefficient entities to achieve significantly improved performance. Boosting is a significant category of ensemble learning that involves the consecutive aggregate input of weak learners. The benefits of boosting approaches in processing tabular data with a significant quantity of information and resistance to overfitting can be very useful in estimating the market value of digital currency or cryptocurrency. The goal of this work is to examine and comprehend the capabilities of major boosting techniques such as XGBoost, AdaBoost, and CatBoost in cryptocurrency forecasting. The work examines the long-term forecasts of two major cryptocurrencies, Bitcoin and Ripple, for this purpose. The results indicate that AdaBoost and XGBoost have comparable predicting efficiency, followed by CatBoost. This implies that AdaBoost’s simpler boosting strategy is effective at achieving outcomes that are comparable to those of more recent boosting algorithms like XGBoost and CatBoost. The study has emphasized the similarities in achieving the best cryptocurrency prediction outcomes from each model. According to the research, a more straightforward boosting tactic is just as effective as or even more effective than the other most recent boosting strategies.","PeriodicalId":341904,"journal":{"name":"2022 International Conference on Intelligent Innovations in Engineering and Technology (ICIIET)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129419601","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

Four-Port Cylindrical DRA based MIMO Antenna for WLAN Application 基于四端口圆柱DRA的无线局域网MIMO天线

2022 International Conference on Intelligent Innovations in Engineering and Technology (ICIIET) Pub Date : 2022-09-22 DOI: 10.1109/ICIIET55458.2022.9967503

Priyesh Kumar, Gouri Sharma, Anshul Gupta

引用次数: 0

A Novel Logic Locking Technique with Observability Measures to Thwart Hardware Trojans 一种具有可观察性措施的新型逻辑锁定技术以阻止硬件木马

2022 International Conference on Intelligent Innovations in Engineering and Technology (ICIIET) Pub Date : 2022-09-22 DOI: 10.1109/ICIIET55458.2022.9967523

M. Priyadharshini, P. Saravanan

引用次数: 0

Classification and Analysis of Epileptic Seizure 癫痫发作的分类与分析

2022 International Conference on Intelligent Innovations in Engineering and Technology (ICIIET) Pub Date : 2022-09-22 DOI: 10.1109/ICIIET55458.2022.9967572

Vs Rhoshnee, S. N. Devi

引用次数: 0

Machine Learning based Robust Techniques to Detect DDoS Attacks in WSN 基于机器学习的WSN中DDoS攻击检测技术

2022 International Conference on Intelligent Innovations in Engineering and Technology (ICIIET) Pub Date : 2022-09-22 DOI: 10.1109/ICIIET55458.2022.9967543

Chandan, Sachin Kumar, Somnath Sinha

{"title":"Machine Learning based Robust Techniques to Detect DDoS Attacks in WSN","authors":"Chandan, Sachin Kumar, Somnath Sinha","doi":"10.1109/ICIIET55458.2022.9967543","DOIUrl":"https://doi.org/10.1109/ICIIET55458.2022.9967543","url":null,"abstract":"One of the most hazardous threats in the current environment is DDOs attacks. It is challenging to identify and defend against these attacks since they are becoming more sophisticated and more frequent every day. So it’s important to identify and prevent such type of attack before any impact. In this study, research on a new dataset of DDoS attacks which includes HTTP Flood attacks, and UDP Flood is conducted.SVM, KNN, and Random Forest among other machine learning algorithms for classification are used in this work to classify nodes as malicious or non-malicious nodes. Additionally, Fuzzy inference rules are applied to malicious nodes classified by machine learning algorithms(SVM, KNN, and Random Forest)accurately identify nodes as highly malicious, moderate malicious, or nonmalicious. Finally using all the processed information a decision is made to eliminate all the highly malicious nodes. Moreover, we have created a dataset namely AVV-DDos2286 which will be made publicly available for further studies on DDO attacks. Our proposed method uses a better hybrid approach combining machine learning algorithms with Fuzzy logic systems which outperform conventional DDos attack detection systems implemented using stand-alone machine learning algorithms. The results obtained has an accuracy of about 94% for classification.","PeriodicalId":341904,"journal":{"name":"2022 International Conference on Intelligent Innovations in Engineering and Technology (ICIIET)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129081677","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: 1

ICIIET 2022 Cover Page ICIIET 2022封面

2022 International Conference on Intelligent Innovations in Engineering and Technology (ICIIET) Pub Date : 2022-09-22 DOI: 10.1109/iciiet55458.2022.9967509

引用次数: 0

Satellite Image Fusion for Obtaining High Resolution Images Using Deep Neural Network 基于深度神经网络的卫星图像融合获取高分辨率图像

2022 International Conference on Intelligent Innovations in Engineering and Technology (ICIIET) Pub Date : 2022-09-22 DOI: 10.1109/ICIIET55458.2022.9967537

A. Rahman, Vikas Tripathiy, A. Gupta, Biju Paul, Manju T. Kurian, Vinodh P. Vijayan

{"title":"Satellite Image Fusion for Obtaining High Resolution Images Using Deep Neural Network","authors":"A. Rahman, Vikas Tripathiy, A. Gupta, Biju Paul, Manju T. Kurian, Vinodh P. Vijayan","doi":"10.1109/ICIIET55458.2022.9967537","DOIUrl":"https://doi.org/10.1109/ICIIET55458.2022.9967537","url":null,"abstract":"Due to its critical function in a wide range of applications, scene categorization of high-resolution remote sensing (RS) photos has drawn increasing attention. A technique for spatiotemporal fusion using deep neural networks (DNNs) with a large amount of remote sensing data as the application background. An innovative multispectral image fusion architecture is proposed in this paper. The proposed method for fusing satellite images entails two phases, each using two neural networks. In the first stage, an adaptively weighted injection-based joints detailed approach to remotely sensed image fusion is discussed. Multispectral (MS) and panchromatic (PAN) images are used to extract spatial features using a wavelet transform. In contrast to the conventional detail injection technique, dictionary learning from the sub-images themselves is used to construct the primary joint details by sparsely representing the extracted features. To minimize spectrum distortions in the fused images while keeping spatial information, we implemented a unique loss function for this DNN. This network is known as the ’Spectral Reimbursement Network (SRN).’ Finally, using three datasets, full-reference, and limited-reference criterion, the proposed strategy is compared against several state-of-the-art methods. Experiment findings demonstrate that the suggested technique can compete in both spatial and spectral parameters.","PeriodicalId":341904,"journal":{"name":"2022 International Conference on Intelligent Innovations in Engineering and Technology (ICIIET)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128452062","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