2021 8th International Conference on Smart Computing and Communications (ICSCC)最新文献_第4页

Segmentation of Brain Tumour in MR Images Using Modified Deep Learning Network 基于改进深度学习网络的MR图像脑肿瘤分割

2021 8th International Conference on Smart Computing and Communications (ICSCC) Pub Date : 2021-07-01 DOI: 10.1109/ICSCC51209.2021.9528298

S. Tripathi, Taresh Sarvesh Sharan, Shiru Sharma, N. Sharma

引用次数: 2

Forecasting of Water Quality for the River Ganga using Univariate Time-series Models 用单变量时间序列模型预测恒河水质

2021 8th International Conference on Smart Computing and Communications (ICSCC) Pub Date : 2021-07-01 DOI: 10.1109/ICSCC51209.2021.9528216

Aishwarya Premlal Kogekar, Rashmiranjan Nayak, U. C. Pati

{"title":"Forecasting of Water Quality for the River Ganga using Univariate Time-series Models","authors":"Aishwarya Premlal Kogekar, Rashmiranjan Nayak, U. C. Pati","doi":"10.1109/ICSCC51209.2021.9528216","DOIUrl":"https://doi.org/10.1109/ICSCC51209.2021.9528216","url":null,"abstract":"Water problem is one of the important issues faced across globe, particularly developing countries like India. Hence, there is a need for continuous monitoring and forecasting of water quality with the most advanced techniques having low implementation cost, less time consumption as well as high accuracy. This will help the concerned authorities and governments to plan and implement necessary steps to improve the quality of the water, particularly freshwater available in the rivers. Specifically, the water quality of the river Ganga has been deteriorated to a great extent and requires continuous monitoring as well as forecasting of water pollutants to help in water quality management. Hence, in this article, three widely used time series-based models such as Auto-Regressive Integrated Moving Average (ARIMA), Seasonal ARIMA (SARIMA), and Prophet have been implemented to predict the water quality of the river Ganga. Here, the models are developed on the Uttar Pradesh Pollution Control Board’s official data for the river Ganga corresponding to nine water quality monitoring stations situated in Uttar Pradesh. Further, only two important water parameters such as dissolved oxygen and biochemical oxygen demand, are considered for prediction and subsequently for the forecasting of the water quality. The experimental analysis concludes that SARIMA and Prophet model predict the water quality parameters as well as Water Quality Index (WQI) more accurately.","PeriodicalId":382982,"journal":{"name":"2021 8th International Conference on Smart Computing and Communications (ICSCC)","volume":"129 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128533150","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

Investigation on Miniaturization Feasibility of the Pixel Antenna for Small Satellite Footprints 小卫星足迹像元天线小型化可行性研究

2021 8th International Conference on Smart Computing and Communications (ICSCC) Pub Date : 2021-07-01 DOI: 10.1109/ICSCC51209.2021.9528091

M. Themalil, Satya Singh, R. Kaur, Divanshu Jain, Gustavo Sanchez, Mayank Sharma

{"title":"Investigation on Miniaturization Feasibility of the Pixel Antenna for Small Satellite Footprints","authors":"M. Themalil, Satya Singh, R. Kaur, Divanshu Jain, Gustavo Sanchez, Mayank Sharma","doi":"10.1109/ICSCC51209.2021.9528091","DOIUrl":"https://doi.org/10.1109/ICSCC51209.2021.9528091","url":null,"abstract":"Present day dimension of satellites are constantly being scaled down, hence there is a stronger need for the antennas placed on them to be highly miniaturized. The emergence of small satellites needs new antenna designs compatible with footprints scaled down highly comparative to that of traditional satellites for similar earth coverage operation. The phenomenon of transverse evanescent modes of the inner cavity field and their wide band capability [1] allows the pixel antenna design to be a feasible approach for miniaturization on such scale. The antenna proposed in this paper is redesigned to be used as a lone pixel, but it can be arranged as an array in the agile reconfigurable radiating matrices format, hence being termed as pixel antennas [4]. The objectivity of this present work is to establish the miniaturization capability of this Pixel antenna by designing a miniaturized planar antenna for a small satellite specification, implanted on a nanosatellite and to realize the communication uplink/downlink links in right hand circularly polarized in the upper UHF band.","PeriodicalId":382982,"journal":{"name":"2021 8th International Conference on Smart Computing and Communications (ICSCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133177127","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

Recommendation Systems : A Comparative Analysis of Classical and Deep Learning Approaches 推荐系统:经典和深度学习方法的比较分析

2021 8th International Conference on Smart Computing and Communications (ICSCC) Pub Date : 2021-07-01 DOI: 10.1109/ICSCC51209.2021.9528193

Mehbooba P. Shareef, Linda Rose Jimson, B. R. Jose

引用次数: 0

Design & implementation of algorithm for linear sweep generation and signal processing for an FMCW radar altimeter FMCW雷达高度表线性扫描生成和信号处理算法的设计与实现

2021 8th International Conference on Smart Computing and Communications (ICSCC) Pub Date : 2021-07-01 DOI: 10.1109/ICSCC51209.2021.9528231

Midhunkrishna P R, L. J., S. Joy, Mukundan K K, Narayanan Namboothiripad M

{"title":"Design & implementation of algorithm for linear sweep generation and signal processing for an FMCW radar altimeter","authors":"Midhunkrishna P R, L. J., S. Joy, Mukundan K K, Narayanan Namboothiripad M","doi":"10.1109/ICSCC51209.2021.9528231","DOIUrl":"https://doi.org/10.1109/ICSCC51209.2021.9528231","url":null,"abstract":"Radar Altimeters (RA) are widely used as a landing aid for aerospace vehicles because of its better measurement accuracy particularly at low altitude ranges. This paper describes the linear frequency modulated signal generation and the signal processing algorithm developed for an FM-CW altimeter. The altimeter uses two modulation rates to satisfy the measurement accuracy criteria for different applications. For generating the linear frequency modulated signal for both modulation rates, a Direct Digital Synthesis (DDS) based methodology is adopted. The altitude of the aerospace vehicle is measured based on the instantaneous frequency difference (beat signal frequency) between the transmitted and received signals. The beat signal is processed by Fast Fourier Transform (FFT) techniques which provide an additional gain so that the frequency of the required signal can be measured even if the signal to noise ratio is near zero dB. The proposed Radar Altimeter signal processing algorithm decides the modulation rate based on the measured altitude and the strength of the received signal. Higher resolution is ensured at lower altitudes by using a higher modulation rate.","PeriodicalId":382982,"journal":{"name":"2021 8th International Conference on Smart Computing and Communications (ICSCC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129418750","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: 2

Multi-class Text Classification and Publication of Crime Data from Online News Sources 网络新闻来源犯罪数据的多类文本分类与发布

2021 8th International Conference on Smart Computing and Communications (ICSCC) Pub Date : 2021-07-01 DOI: 10.1109/ICSCC51209.2021.9528127

Jacob John, M. Varkey, Selvi M

{"title":"Multi-class Text Classification and Publication of Crime Data from Online News Sources","authors":"Jacob John, M. Varkey, Selvi M","doi":"10.1109/ICSCC51209.2021.9528127","DOIUrl":"https://doi.org/10.1109/ICSCC51209.2021.9528127","url":null,"abstract":"Over the past decade, India’s major cities have been deemed as some of the most unsafe places in the world for women. We know that crimes against women occur every day as newspapers show reports of the activities that occur to not just women but also minor girls. As a result of this, women’s safety is a growing concern for the government. The women in our lives deserve to feel secure wherever they go. This paper aims to help women select the states they travel to or relocate to based on recent criminal activity. The proposed methodology is a web application utilizing the Django framework. The web application provides a map with the crime hotspots of India sourced from reputed news articles on the Internet. Articles are first scraped using a web crawler we have designed. The scraped article is classified into a corresponding category to depict them on the heatmap. Classifying news articles is a multi-class classification problem that requires a robust and powerful machine learning model. A novel hybrid architecture of Convolutional Neural Network (CNN) and Gated Recurrent Unit (GRU) is adopted and proposed in this paper. The ensemble model performs incredibly well on news sources collated from reputed websites and successfully classifies news articles with an accuracy of 95.1%.","PeriodicalId":382982,"journal":{"name":"2021 8th International Conference on Smart Computing and Communications (ICSCC)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117146621","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

A Multi-resolution Mechanism with Multiple Decoders for Empathetic Dialogue Generation 基于多解码器的共情对话生成多分辨率机制

2021 8th International Conference on Smart Computing and Communications (ICSCC) Pub Date : 2021-07-01 DOI: 10.1109/ICSCC51209.2021.9528254

Ayshabi M K, S. M. Idicula

引用次数: 3

Review on Waste Heat Energy Harvesting using TEG: Applications and Enhancements 利用TEG技术收集余热的研究进展:应用与改进

2021 8th International Conference on Smart Computing and Communications (ICSCC) Pub Date : 2021-07-01 DOI: 10.1109/ICSCC51209.2021.9528196

Nazir Nadaf, Preethi A

引用次数: 2

An Advanced Facial Expression Detection using Deep Neural Network 基于深度神经网络的高级面部表情检测

2021 8th International Conference on Smart Computing and Communications (ICSCC) Pub Date : 2021-07-01 DOI: 10.1109/ICSCC51209.2021.9528167

Arnold Sachith A Hans, Mohit Bansal, S. Rao

引用次数: 0

Image Mosaicing for Neonatal Fundus Images 新生儿眼底图像的图像拼接

2021 8th International Conference on Smart Computing and Communications (ICSCC) Pub Date : 2021-07-01 DOI: 10.1109/ICSCC51209.2021.9528163

Aruna K A, V. S. Anil, Anju Anand, Anagha Jaysankar, Anjali Venugopal, K. L. Nisha, G. Sreelekha

{"title":"Image Mosaicing for Neonatal Fundus Images","authors":"Aruna K A, V. S. Anil, Anju Anand, Anagha Jaysankar, Anjali Venugopal, K. L. Nisha, G. Sreelekha","doi":"10.1109/ICSCC51209.2021.9528163","DOIUrl":"https://doi.org/10.1109/ICSCC51209.2021.9528163","url":null,"abstract":"Retinopathy of Prematurity (ROP) is an ocular disease observed in premature babies which, if left untreated, causes permanent blindness. Problematically, the visual indicators of ROP are not well understood and neonatal fundus images are usually of poor quality and resolution. Simplifying the methods of the detection of ROP would be highly beneficial. The various features for detection of ROP disease come from the anterior and posterior regions of the retina, which will not be available in a single image. Hence in practice, multiple images of different views are taken from the same infant and various regions are tested individually from different images. Here we propose an efficient methodology for combining the images through image mosaicing where the transformation parameters are obtained from the pre-processed neonatal fundus images. A crucial step in image mosaicing is finding robust features for feature matching, which will in turn help in obtaining the appropriate transformation parameters. In the proposed method, feature locations are taken from skeletonized images and feature descriptors from enhanced images. This approach enables us to obtain a satisfactory mosaic even while choosing a less complex six parameter-affine transformation model in contrast to the existing methodologies which require more parameters.","PeriodicalId":382982,"journal":{"name":"2021 8th International Conference on Smart Computing and Communications (ICSCC)","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117348556","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: 2