发布求助
文献互助 智能选刊 最新文献

2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184)最新文献

筛选
英文 中文
A Review of RPL Protocol Using Contiki Operating System 基于Contiki操作系统的RPL协议综述
2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184) Pub Date : 2020-06-01 DOI: 10.1109/ICOEI48184.2020.9142903
S. Simha, Reema Mathew, S. Sahoo, R. Biradar
{"title":"A Review of RPL Protocol Using Contiki Operating System","authors":"S. Simha, Reema Mathew, S. Sahoo, R. Biradar","doi":"10.1109/ICOEI48184.2020.9142903","DOIUrl":"https://doi.org/10.1109/ICOEI48184.2020.9142903","url":null,"abstract":"Growth of Internet of Things (IoT), in leaps and bounds has diverted major attention towards wireless sensor networks and its associated routing protocols. Use of a routing protocol which is not suitable for a particular scenario may result in a loss of packets. This in turn will lead to retransmissions which has an obvious impact on bandwidth, the amount of power being consumed among various other parameters. These issues are to be considered since IoT involves Low Power and Lossy Networks (LLNs) formed using low power devices. Hence for IoT applications, Routing Protocol for LLNs (RPL) is custom designed. The objective of this study is to describe the RPL protocol and the operating system contiki which paves the way for its reliable implementation. Also, a collective information regarding RPL implementation is provided for better comparison.","PeriodicalId":267795,"journal":{"name":"2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125842279","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: 7
Data Mining Visualization with the Impact of Nature Inspired Algorithms in Big Data 大数据中受自然启发算法影响的数据挖掘可视化
2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184) Pub Date : 2020-06-01 DOI: 10.1109/ICOEI48184.2020.9142979
Praveen Kumar Kotturu, Abhishek Kumar
{"title":"Data Mining Visualization with the Impact of Nature Inspired Algorithms in Big Data","authors":"Praveen Kumar Kotturu, Abhishek Kumar","doi":"10.1109/ICOEI48184.2020.9142979","DOIUrl":"https://doi.org/10.1109/ICOEI48184.2020.9142979","url":null,"abstract":"Data mining visualization is an important aspect of big data visualization and analysis. The impact of the nature-inspired algorithm along with the impact of computing traditions for the complete visualization of the storage and data communication needs have been studied. This paper also explores the possibilities of the hybridization of data mining in terms of association of cloud computing. It also explores the data analytical view in the exploration of these approaches in terms of data storage in big data. Based on these aspects the methodological advancement along with the problem statements has been analyzed. This will help in the exploration of computational capability along with the new insights in this domain.","PeriodicalId":267795,"journal":{"name":"2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126019067","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: 5
Multi Objective Association Rule Mining with Soft Computing Approach 基于软计算的多目标关联规则挖掘
2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184) Pub Date : 2020-06-01 DOI: 10.1109/ICOEI48184.2020.9142977
L. Gagnani
{"title":"Multi Objective Association Rule Mining with Soft Computing Approach","authors":"L. Gagnani","doi":"10.1109/ICOEI48184.2020.9142977","DOIUrl":"https://doi.org/10.1109/ICOEI48184.2020.9142977","url":null,"abstract":"Due to widespread use of Internet nowadays, there is a tremendous increase in amount of data especially from the social media platforms. Further, the extraction of useful patterns is required from these huge data stored in datasets. Thus the soft computing is gaining importance due to the incorporation of the Artificial Intelligence and the Machine Learning. In this paper Multi Objective Association Rule Mining is employed with medical datasets. The results are implemented with various multi objective measures like confidence, support, etc. Various level of datasets are employed to authenticate the results of the proposed method of association rule mining. The datasets considered are numerical in nature.","PeriodicalId":267795,"journal":{"name":"2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184)","volume":"322 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132458820","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
Wireless Controlled Robotic Spider for data retrieval 用于数据检索的无线控制机器人蜘蛛
2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184) Pub Date : 2020-06-01 DOI: 10.1109/ICOEI48184.2020.9143041
T. Pavani, D.MMR Pavan, V. Manohar, Yash Jain, P. Santhosh, S. Sumanth, K. Teja, K. Sanketh
{"title":"Wireless Controlled Robotic Spider for data retrieval","authors":"T. Pavani, D.MMR Pavan, V. Manohar, Yash Jain, P. Santhosh, S. Sumanth, K. Teja, K. Sanketh","doi":"10.1109/ICOEI48184.2020.9143041","DOIUrl":"https://doi.org/10.1109/ICOEI48184.2020.9143041","url":null,"abstract":"This project is a demonstration of a legged robot called “WICORS” which has four legs for movement. Legged robots have also been very useful in the military in performing the remote operations from a distant place. Legged robots are the robots that imitate the walking patterns of various animals. It is used for the data retrieval for the specific applications in different areas. This project is made for the purpose to collect data in the regions where it is dangerous for humans to enter such as the mining areas containing the toxic gases. It also serves the purpose of collecting the information about the injured and casualties in the disaster affected regions. The sole purpose of this project is to increase the real-time data transmission wirelessly by reducing the live interaction by humans with the surrounding environment.","PeriodicalId":267795,"journal":{"name":"2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128923976","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
Reducing Overfitting Problem in Machine Learning Using Novel L1/4 Regularization Method 利用新颖的L1/4正则化方法减少机器学习中的过拟合问题
2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184) Pub Date : 2020-06-01 DOI: 10.1109/ICOEI48184.2020.9142992
Johnson Kolluri, Vinay Kumar Kotte, M. PhridviRaj, S. Razia
{"title":"Reducing Overfitting Problem in Machine Learning Using Novel L1/4 Regularization Method","authors":"Johnson Kolluri, Vinay Kumar Kotte, M. PhridviRaj, S. Razia","doi":"10.1109/ICOEI48184.2020.9142992","DOIUrl":"https://doi.org/10.1109/ICOEI48184.2020.9142992","url":null,"abstract":"The Machine learning model has two problems, they are Overfitting and Under-fitting. Underfitting is a statistical model or a machine learning algorithm, it cannot capture the underlying trend of the data. A statistical model is said to be overfitted when it has been trained with more data. When the model is trained on fewer features, the machine will be too biased, and then the model gets under fitting problems. So, it has been required to train the model on more features and there is one more problem that occurs. To reduce the overfitting problem, regularization functions and data augmentation are used. Lasso shrinks the less important feature's coefficient to zero thus removing some feature altogether. L2 regularization, on the other hand, does not remove most of the features. A novel regularization method is proposed to overcome these problems.","PeriodicalId":267795,"journal":{"name":"2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130869288","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: 15
Recommending E-Commerce Products on Cold Start and Long Tail Using Transaction Data 利用交易数据推荐冷启动和长尾的电子商务产品
2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184) Pub Date : 2020-06-01 DOI: 10.1109/ICOEI48184.2020.9143009
Anand Kumar Pandey, B. Ankayarkanni
{"title":"Recommending E-Commerce Products on Cold Start and Long Tail Using Transaction Data","authors":"Anand Kumar Pandey, B. Ankayarkanni","doi":"10.1109/ICOEI48184.2020.9143009","DOIUrl":"https://doi.org/10.1109/ICOEI48184.2020.9143009","url":null,"abstract":"Recommender method plays a critical role in the discovery and display of interesting items from near-infinite inventories to potential users. Yet the recommender systems are being challenged by two problems. One is “how to address new users” and the other one is “how to amaze users”. The problem is known as a cold-start recommendation. In this paper, how the products are handled in the e-commerce retailers getting sold out soon, and products remain stagnant for a long duration isdiscussed. To overcome this problem, the selling of products to customers of the same kind based is tracked on the previous purchase by using clustering and classification algorithms. To recommend combo products to users and general recommendation based on user point of interest and product transaction details. This way the retailers are getting helped to gain some profit which is not sold for a long period.","PeriodicalId":267795,"journal":{"name":"2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131019461","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: 4
Analysis of Intelligent Machines using Deep learning and Natural Language Processing 使用深度学习和自然语言处理的智能机器分析
2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184) Pub Date : 2020-06-01 DOI: 10.1109/ICOEI48184.2020.9142886
Manjunath R. Kounte, Pratyush Kumar Tripathy, Pramod P, Harshit Bajpai
{"title":"Analysis of Intelligent Machines using Deep learning and Natural Language Processing","authors":"Manjunath R. Kounte, Pratyush Kumar Tripathy, Pramod P, Harshit Bajpai","doi":"10.1109/ICOEI48184.2020.9142886","DOIUrl":"https://doi.org/10.1109/ICOEI48184.2020.9142886","url":null,"abstract":"Intelligent Machines are playing an important role in performing various activities in the industry thereby reducing the human efforts, error rate and increase the efficiency and accuracy. Artificial Intelligence is the backbone for development of intelligent machines which use natural language processing and deep learning as fundamental tools. In this paper, we present the new perspective of intelligent machines in everyday usage, along with the importance of understanding the natural language and generating machine level natural language for intelligent machines. Further, we summarize an overview of deep learning concurrent neural network and recurrent neural network models. Also, we review the significance of sentimental analysis using natural language processing and the ability of machines to take decisions and solve problems.","PeriodicalId":267795,"journal":{"name":"2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130931522","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: 3
0.9 V Body-Biased LNA with Input Matching for Enhanced Gain & Low Power Applications 带有输入匹配的0.9 V体偏LNA，用于增强增益和低功耗应用
2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184) Pub Date : 2020-06-01 DOI: 10.1109/ICOEI48184.2020.9142905
Ankur Pal, G. Singh, Sarthak, Gaurav Mehra
{"title":"0.9 V Body-Biased LNA with Input Matching for Enhanced Gain & Low Power Applications","authors":"Ankur Pal, G. Singh, Sarthak, Gaurav Mehra","doi":"10.1109/ICOEI48184.2020.9142905","DOIUrl":"https://doi.org/10.1109/ICOEI48184.2020.9142905","url":null,"abstract":"In this paper, a 2.4 GHz Low Noise Amplifier (LNA) at 180nm CMOS technology is presented. This LNA design involves two stages, the common source cascade, and the cascode stage. The proposed circuit improves the noise figure (NF) and power gain (S21) of LNA by utilizing the cumulative effect of the input matching network and body bias technique. The work is implemented using the tool “Advanced Design System” (ADS). The simulation results show a power gain (S21) of 26.925 dB and a noise figure of 1.505. The other scattering parameters are also observed with input return loss (S 11) of-11.989 dB, output return loss (S22) of −10.397 dB, and reverse isolation (S12) of −53.030 dB. With the help of the body bias technique, the power supply of the circuit is also reduced to 0.9V which leads to the power consumption of as low as 2.507 mW.","PeriodicalId":267795,"journal":{"name":"2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128814763","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
Fuzzy Decision Support System for Recommendation of Crop Cultivation based on Soil Type 基于土壤类型的作物种植推荐模糊决策支持系统
2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184) Pub Date : 2020-06-01 DOI: 10.1109/ICOEI48184.2020.9142899
A. Rajeswari, A. Anushiya, K. Fathima, S. Priya, N. Mathumithaa
{"title":"Fuzzy Decision Support System for Recommendation of Crop Cultivation based on Soil Type","authors":"A. Rajeswari, A. Anushiya, K. Fathima, S. Priya, N. Mathumithaa","doi":"10.1109/ICOEI48184.2020.9142899","DOIUrl":"https://doi.org/10.1109/ICOEI48184.2020.9142899","url":null,"abstract":"Soil with essential nutrients is capable of supporting crop cultivation. But some nutrient level in the soil is declining because of the usage of more fertilizers. Due to this, the crop production is falling. Hence, to increase the crop yield, the proposed methodology exploits all the soil micro and macronutrients of the soil to predict the crop suitability for a region. During the data categorization, beyond rough set, the fuzzy logic is used to handle the boundary values of the numerical features to improve the accuracy of the prediction. Rough set based rule induction method is used to generate the rules and the crop suitability is predicted according to the fuzzy rules. The results are benchmarked with algorithms like CN2, LEM2, AQ, and Indiscernibility. The discretized and fuzzified datasets are considered for experimental purposes. The performance of the algorithms is evaluated based on the different evaluation parameters like precision, recall, f1 score, and accuracy. The experimental results proved that fuzzy rules evolved by the LEM2 algorithm give higher prediction accuracy when compared to other algorithms for both the discretized and fuzzified datasets.","PeriodicalId":267795,"journal":{"name":"2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124155077","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: 7
Application Of Optical Flow In Determining Movements For Realistic Roller Coaster Ride Using A 360° Video And Two Degrees Of Freedom Motion Chair 使用360°视频和两个自由度运动椅的光流在确定逼真过山车运动中的应用
2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184) Pub Date : 2020-06-01 DOI: 10.1109/ICOEI48184.2020.9142945
Erwin Paolo B. Bambalan, Christian Mari C. Britanico, Erwin Lloyd T. Francisco, Arvin Christian A. Riano, R. Tolentino
{"title":"Application Of Optical Flow In Determining Movements For Realistic Roller Coaster Ride Using A 360° Video And Two Degrees Of Freedom Motion Chair","authors":"Erwin Paolo B. Bambalan, Christian Mari C. Britanico, Erwin Lloyd T. Francisco, Arvin Christian A. Riano, R. Tolentino","doi":"10.1109/ICOEI48184.2020.9142945","DOIUrl":"https://doi.org/10.1109/ICOEI48184.2020.9142945","url":null,"abstract":"Virtually created roller coaster rides are computer generated scenario that mimic real life roller coasters. But most virtual roller coaster rides are dependent on artificially made environments that seem fake and are not at all realistic. This study focuses on the use of motion chair, 360° roller coaster videos, and the use of optical flow to create a roller coaster system that is more realistic. Using optical flow to determine movements in the 360° video that is sent to the created motion chair, while the video is played on the connected android phone for viewing of the video. The solution proved that acquiring 3D movements of roller coaster in 360° video is possible through the proposed method by the researchers but provides the problem of level of accuracy of movements. The optical flow is used to determine the movement of pixels from its current to previous movement, the gathered data in the whole video that is processed with optical flow is filtered to acquire the estimated angle of the movement of the roller coaster int the video. It was also proven that the created motion chair can execute the calculated movements of the program but relating it to the 15° maximum and -15° minimum movement of the created motion chair. Finally, the realism of the created system is evaluated by respondents that have previously experienced riding rollercoaster rides in real life.","PeriodicalId":267795,"journal":{"name":"2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114314900","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
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术官方微信