2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS)最新文献_第7页

Data Modeling and Analysis of Micro-Propagation Mode Guided by Cellular Automata Data Thoughts 元胞自动机数据思想指导下微传播模式的数据建模与分析

2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS) Pub Date : 2022-11-24 DOI: 10.1109/ICAISS55157.2022.10010768

Ping Luo

引用次数: 0

Music Vocal Spectrum Classification Model based on Improved SVM Algorithm 基于改进SVM算法的音乐声谱分类模型

2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS) Pub Date : 2022-11-24 DOI: 10.1109/ICAISS55157.2022.10010883

Mengyi Xiang

引用次数: 0

Digital Signatures and El Gamal Scheme Integration for Secure Data Transmission in Digital Transaction Survey 数字交易调查中安全数据传输的数字签名和El Gamal方案集成

2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS) Pub Date : 2022-11-24 DOI: 10.1109/ICAISS55157.2022.10010728

Y. S. Prakash, P. H. Narayan, R. Ramakrishna, G. S. Sandeep, V. Ramesh, I. Balaraju

引用次数: 0

Real-time Power Transmission and Transformation Online Monitoring based on Convolutional Neural Network Algorithm 基于卷积神经网络算法的输变电实时在线监测

2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS) Pub Date : 2022-11-24 DOI: 10.1109/ICAISS55157.2022.10010780

Yubo Zhang, Yubin Feng, Chengwei Huang

{"title":"Real-time Power Transmission and Transformation Online Monitoring based on Convolutional Neural Network Algorithm","authors":"Yubo Zhang, Yubin Feng, Chengwei Huang","doi":"10.1109/ICAISS55157.2022.10010780","DOIUrl":"https://doi.org/10.1109/ICAISS55157.2022.10010780","url":null,"abstract":"The convolution operation is vectorized by using single instruction multiple data stream (SIMD). The SIMD instruction in the CPU is used to realize the vectorized convolution operation, eliminating the synchronization overhead of parallel computing, and at the same time multiplexing the data in the register, reducing the number of memory reads and writes. Relying on the power production management information system (PMS), it aims to research and establish a set of A complete and unified online monitoring system for the status of power transmission and transformation equipment. The Internet of Things system architecture for power transmission and transformation equipment at the information integration layer and the intelligent application layer, and a detailed discussion of several key technologies involved in the system architecture, mainly including integrated intelligence Monitoring device, coding and identification system, communication technology, panoramic information modeling. The original input data is grouped and allocated to different data node groups to realize data parallelism; for the data of each data node group, pipeline parallelism is adopted.","PeriodicalId":243784,"journal":{"name":"2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127282670","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

Bayesian Optimization with Deep Learning based Crop Type Classification on UAV Imagery 基于深度学习的无人机影像作物类型分类贝叶斯优化

2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS) Pub Date : 2022-11-24 DOI: 10.1109/ICAISS55157.2022.10010961

S. V. Chaudhari, Sanjeeva Polepaka, M. Ashraf, Ramakrushna Swain, Ananthnath Gvs, R. K. Bora

{"title":"Bayesian Optimization with Deep Learning based Crop Type Classification on UAV Imagery","authors":"S. V. Chaudhari, Sanjeeva Polepaka, M. Ashraf, Ramakrushna Swain, Ananthnath Gvs, R. K. Bora","doi":"10.1109/ICAISS55157.2022.10010961","DOIUrl":"https://doi.org/10.1109/ICAISS55157.2022.10010961","url":null,"abstract":"Precise projections of seasonal agricultural outputs are indispensable for optimizing security of the food. But the gathering of agricultural data via seasonal agricultural studies was frequently not timely sufficient to notify private and public stakeholders regarding crop conditions at the time of growing season. Getting accurate and timely crop approximations are mainly difficult in countries with predominate smallholder farms due to the high diversity of crop types, larger amount of small plots, and intense intercropping. This study emphases on the advancement of Bayesian optimization with deep learning driven crop type classification (BODLD-CTC) technique. The presented BODLD-CTC technique examines the UAV images for the discrimination of crop types. To attain this, the presented BODLD-CTC technique applies Xception model as feature extractor. For classification purposes, the long short term memory (LSTM) model is exploited. At last, the BO algorithm is used to optimally adjust the LSTM hyperparameters and also considerably boost the classification efficiency. To demonstrate the improved outcomes of the BODLD-CTC method, a wide range of simulations were performed. Extensive comparative inspection stated the improvements of the BODLD-CTC method compared to recent models.","PeriodicalId":243784,"journal":{"name":"2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126902900","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

Preliminary Analysis of Data Visualization based Uber Technology using R: A Review 基于R: A的Uber数据可视化技术初步分析

2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS) Pub Date : 2022-11-24 DOI: 10.1109/ICAISS55157.2022.10010574

Riya, Gurpreet Singh, Jaspreet Singh, Pankaj Singh

{"title":"Preliminary Analysis of Data Visualization based Uber Technology using R: A Review","authors":"Riya, Gurpreet Singh, Jaspreet Singh, Pankaj Singh","doi":"10.1109/ICAISS55157.2022.10010574","DOIUrl":"https://doi.org/10.1109/ICAISS55157.2022.10010574","url":null,"abstract":"Understanding data is crucial right now since doing so will improve the productivity and efficiency of corporate operations across the globe. Data analysis employs methodical techniques to search for patterns, clusters, or other connections among various data kinds. Data visualization aids analysis and interpretation of data by placing data into a chart, graph or other visual format. Analytics and visualizations have the power to drill down the data to gives various rich benefits to any organization through its findings by spotting new trends and data patterns which brings more profitable business operations, new revenue prospects, improved operational efficiency and customer service and most significantly helps the organization to take smart decisions. In this paper we perform analysis and visualization on the data of one such organization i.e. Uber, the uber dataset involves uber pickups in New York city which is over 4.5 million from April through September 2014. The analysis is done using R programming language containing various libraries and packages for clear visualization and insights.","PeriodicalId":243784,"journal":{"name":"2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125683490","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

IoT Based Tele-Sleep Bruxism Diagnosis Tool 基于物联网的远程睡眠磨牙诊断工具

2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS) Pub Date : 2022-11-24 DOI: 10.1109/ICAISS55157.2022.10011117

Dhivya Velumani, Nancy Subha G, H. S, C. K. Reshmi, P. Meghana, Gokul M

引用次数: 0

Intelligent Greenhouse - IoT Enabled Resource Management for Sustainable Crop Production in Sultanate of Oman 智能温室-物联网支持的资源管理在阿曼苏丹国实现可持续作物生产

2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS) Pub Date : 2022-11-24 DOI: 10.1109/ICAISS55157.2022.10010835

Gnana Rajesh D, Yaqoob Yousuf Said Alawfi, Murshid Qasim Mohammed Almaawali

{"title":"Intelligent Greenhouse - IoT Enabled Resource Management for Sustainable Crop Production in Sultanate of Oman","authors":"Gnana Rajesh D, Yaqoob Yousuf Said Alawfi, Murshid Qasim Mohammed Almaawali","doi":"10.1109/ICAISS55157.2022.10010835","DOIUrl":"https://doi.org/10.1109/ICAISS55157.2022.10010835","url":null,"abstract":"Providing food has always been a great challenge for the Omani people who have developed different methods to develop this industry starting from making Falaj networks and agricultural terraces in the mountains. Agriculture is one of the most important challenges for humankind, due to the increase of population and changes in environment. Soil salinization, water salinity level and high temperatures are the biggest challenges in agriculture in Oman in the last 20 years. The intelligent Greenhouse is a device that is used to control irrigation, ventilation, lightening using a microcontroller. This system will grant saving around 1000 litres of water per year for a single plant such as a cucumber and uses the solar energy to save about 98% of the electricity price needed to operate the system. Intelligent Greenhouse is research that is based on the internet of thing which is eventually granted and utilize the technology in the farming techniques to minimize the waste of water and power. First, the system implementation is based on using the Microcontroller to sense and control the whole system components. Secondly, it provides readable values of temperature, humidity, water level and light intensity that are transported over network to cloud website with proper authentication configuration. Finally, the system will control the functionality of ventilation, irrigation and lightening upon the pre-configured conditions with the possibility of modifying these values remotely in a handy way for non-programmer users upon the requirement.","PeriodicalId":243784,"journal":{"name":"2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126735166","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

Recent Trends in Deep Learning for Natural Language Processing and Scope for Asian Languages 自然语言处理中深度学习的最新趋势及其在亚洲语言中的应用

2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS) Pub Date : 2022-11-24 DOI: 10.1109/ICAISS55157.2022.10010807

Diganta Baishya, Rupam Baruah

{"title":"Recent Trends in Deep Learning for Natural Language Processing and Scope for Asian Languages","authors":"Diganta Baishya, Rupam Baruah","doi":"10.1109/ICAISS55157.2022.10010807","DOIUrl":"https://doi.org/10.1109/ICAISS55157.2022.10010807","url":null,"abstract":"Natural language processing (NLP) studies the techniques and procedures that allow a machine to converse using human language. Recent advances in artificial intelligence and communication technology have considerably enhanced natural language processing applications. Due to improvements in deep learning, virtually every aspect of artificial intelligence, including natural language processing, has made substantial progress. Deep learning methods use many layers of neurons to construct a neural network. Recurrent Neural Networks and their variants like long short term (LSTM), bidirectional LSTM, are some of the most popular deep learning techniques. This article reviews deep learning techniques employed in NLP- specific approaches in the last few years. We also studied the issues faced by researchers while trying to apply deep learning to Asian languages. We also highlight some critical deep learning research work carried out recently for Indian and other Asian languages. In addition, we discuss fundamental linguistic processing challenges and suggest future scopes for the topic.","PeriodicalId":243784,"journal":{"name":"2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127897777","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

Detection of Indian Fake Currency using Image Processing 利用图像处理技术检测印度假币

2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS) Pub Date : 2022-11-24 DOI: 10.1109/ICAISS55157.2022.10010580

S. M. Asha Banu, S. Sandhya, T. V. Sundari, P. R. Shri Ranjani

引用次数: 1