2021 3rd International Conference on Signal Processing and Communication (ICPSC)最新文献_第3页

Image based Land Cover Classification for Remote Sensing Applications-A review 基于图像的土地覆盖分类在遥感中的应用综述

2021 3rd International Conference on Signal Processing and Communication (ICPSC) Pub Date : 2021-05-13 DOI: 10.1109/ICSPC51351.2021.9451755

Manikandan. M Mishaa, A. Andrushia, T. Neebha

引用次数: 3

Design of Dual Band Antenna with Asymmetric Microstrip-fed Dual U-shaped for Wireless Applications 无线应用中非对称微带馈电双u型双频天线的设计

2021 3rd International Conference on Signal Processing and Communication (ICPSC) Pub Date : 2021-05-13 DOI: 10.1109/ICSPC51351.2021.9451727

Maloji. Suman, S. Deepika, S. J. Sai Priya, M. Prasanth

引用次数: 2

Framework For Preventing Procrastination And Increasing Productivity 防止拖延和提高效率的框架

2021 3rd International Conference on Signal Processing and Communication (ICPSC) Pub Date : 2021-05-13 DOI: 10.1109/ICSPC51351.2021.9451773

A. Amit, S. R. Gautam Shankararam, P. Pradeep, R. Perumalraja., S. Kamalesh

{"title":"Framework For Preventing Procrastination And Increasing Productivity","authors":"A. Amit, S. R. Gautam Shankararam, P. Pradeep, R. Perumalraja., S. Kamalesh","doi":"10.1109/ICSPC51351.2021.9451773","DOIUrl":"https://doi.org/10.1109/ICSPC51351.2021.9451773","url":null,"abstract":"Productivity is an assessment of the efficiency of a person, mostly an employee in a specific period of time. One of the major blockers for a productive session is procrastination. Procrastination is the action of delaying or postponing the work. As a result, the overall productivity of the project or the task will be affected. There is lots of research done on how to increase productivity. In real-time, there are certain professional tools used in practice to monitor productivity. For example, Sprints are in some of the software industries for splitting the work into modules and focusing on each of them, one at a time. However, it is not as flexible as one would like and perhaps a bit too complex as far as the general population is concerned. On the other hand, simple tools using Pomodoro technique, Gamification, etc., are used in some places but one simple technique may not be sufficient. Therefore, we propose a simple generic tool that combines Pomodoro technique, Gamification and Leaderboard to avoid or stop procrastinating of an employee. The Pomodoro Timer technique helps in breaking up a large task into sessions, with each session being followed by a break. ProScore tries to influence users to work productively using the points system, \"Productivity Score\" and by showing their peers, i.e. other users’ productive session details. Next, leaving the task midway of a session penalizes the user by reducing their points, which is called Gamification. Then, Leaderboard is used based on the Points that the employee has scored. This provides users an incentive to top the leaderboard and hence be more productive while doing so. Finally, we also keep track of all the productive sessions so that a user can revisit how they have performed over a course of time.","PeriodicalId":182885,"journal":{"name":"2021 3rd International Conference on Signal Processing and Communication (ICPSC)","volume":"90 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115984762","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

A Comprehensive Study on Human Activity Recognition 人体活动识别的综合研究

2021 3rd International Conference on Signal Processing and Communication (ICPSC) Pub Date : 2021-05-13 DOI: 10.1109/ICSPC51351.2021.9451759

S. Aarthi, S. Juliet

引用次数: 5

Exploratory Data Analysis on Breast cancer dataset about Survivability and Recurrence 乳腺癌生存与复发数据集的探索性数据分析

2021 3rd International Conference on Signal Processing and Communication (ICPSC) Pub Date : 2021-05-13 DOI: 10.1109/ICSPC51351.2021.9451811

E. J. Sweetlin, S. Saudia

{"title":"Exploratory Data Analysis on Breast cancer dataset about Survivability and Recurrence","authors":"E. J. Sweetlin, S. Saudia","doi":"10.1109/ICSPC51351.2021.9451811","DOIUrl":"https://doi.org/10.1109/ICSPC51351.2021.9451811","url":null,"abstract":"Exploratory Data Analysis (EDA) is an important step in data analysis where it helps Data Analysts and researchers represent the data visually and dig patterns from data to obtain deep knowledge ingrained in the dataset. In medical domain, data analysis primarily helps physicians and researchers in the field of health care where data about the patients is available in the form of text and images. To take the right choice in terms of cure and treatment, the analysis of the previous records of the patients helps most of the time. This proposed Exploratory Data Analysis analyzes the attributes: Nottingham Prognostic Index (NPI), the Overall Survival Status (OSS) and Relapse Free Status (RFS) from the Metabric Breast Cancer dataset to determine the survivability and disease recurrence among different age categories of breast cancer patients for 5-year and 10-years. The EDA is done using the visualization tools of Python and the observations from the data are represented using relevant swarm plots and tabulations. Comparison is also made in terms of NPI to the survival rates with that of the survival rates as reported from the datasets Breast Test Wales and Grimsby Breast Unit.","PeriodicalId":182885,"journal":{"name":"2021 3rd International Conference on Signal Processing and Communication (ICPSC)","volume":"2000 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123550380","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

User Centric and Collaborative Movie Recommendation System Under Customized Platforms 定制平台下以用户为中心的协同电影推荐系统

2021 3rd International Conference on Signal Processing and Communication (ICPSC) Pub Date : 2021-05-13 DOI: 10.1109/ICSPC51351.2021.9451672

Souptik Saha, S. Ramamoorthy, Eisha Raghav

{"title":"User Centric and Collaborative Movie Recommendation System Under Customized Platforms","authors":"Souptik Saha, S. Ramamoorthy, Eisha Raghav","doi":"10.1109/ICSPC51351.2021.9451672","DOIUrl":"https://doi.org/10.1109/ICSPC51351.2021.9451672","url":null,"abstract":"Topping the entertainment industry, movies have become a really life-changing factor for this industry. The only difficulty individuals are facing right now is to find the right content which fits their choice of demands. To solve this problem, recommendation systems have been brought into use. Various filters can be applied to find the content of your desire. The aim of this paper is to predict user’s movie rating along with genre in order to recommend movies. The movies are recommended based on user activity and content to which they potentially give high ratings. User choices and history makes it easier to predict movies and filter out content. Many methods have been used to implement a recommendation system, but in this paper, we have majorly used collaborative filtering for recommending and content-based filtering for sentiment analysis. It will be used to output a list of recommended movies based on an individual’s choice, ratings, likes and past behavioral pattern. In this paper, to improve accuracy and effectiveness, similarity score is used. It is a numerical value that ranges between 0 to 1 and helps to determine how much a group of items are similar to each other. Cosine similarity makes the process effective by quantifying the similarity in the form of angular distance. As compared to Euclidean distance, cosine similarity is used because the precision of the cosine angle and the equi-distance of movies are almost identical.","PeriodicalId":182885,"journal":{"name":"2021 3rd International Conference on Signal Processing and Communication (ICPSC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123701853","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

Smart Tracking and Monitoring in Supply Chain Systems using RFID and BLE 供应链系统中使用RFID和BLE的智能跟踪和监控

2021 3rd International Conference on Signal Processing and Communication (ICPSC) Pub Date : 2021-05-13 DOI: 10.1109/ICSPC51351.2021.9451700

S. G. Kumar, Shajin Prince, B. Shankar

{"title":"Smart Tracking and Monitoring in Supply Chain Systems using RFID and BLE","authors":"S. G. Kumar, Shajin Prince, B. Shankar","doi":"10.1109/ICSPC51351.2021.9451700","DOIUrl":"https://doi.org/10.1109/ICSPC51351.2021.9451700","url":null,"abstract":"In the present world, innovation and technology creates, transformation in consumer behaviour, enterprises around the globe which makes the manufacturers to stay competitive. Any company who responds to customized needs of consumers is said to be great company. In such scenario, having accuracy in tracking and visibility of assets, Raw Materials (RM), Finished Goods (FG) in supply chain becomes of prime importance to any organisation. A multi objective, Raw material and Finished Goods tracking problem, in manufacturing industry is investigated. A prototype is developed to afford timely and effective solutions for this problem using Radio-Frequency Identification (RFID) and Bluetooth Low Energy (BLE) Technology. Effective and on-time availability of RM and FG has significant effects on productivity and improved output in production operations and also to meet the customer demand. This RF and BLE are emerging technology which is yet to reach manufacturing companies. In this paper, a RFID centred monitoring system for RM and FG is introduced. The RFID technology, Bluetooth and Internet technology are utilized in remote monitoring of Status in the factory.","PeriodicalId":182885,"journal":{"name":"2021 3rd International Conference on Signal Processing and Communication (ICPSC)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122131063","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

Design and Analysis of Electrically Small 915MHz Antenna for Wireless Applications 用于无线应用的915MHz电小型天线的设计与分析

2021 3rd International Conference on Signal Processing and Communication (ICPSC) Pub Date : 2021-05-13 DOI: 10.1109/ICSPC51351.2021.9451733

T. Kishor, A. A. Griffin, C. Jeffrey Paul, T. Neebha, A. Diana Andrushia, P. Bruntha

引用次数: 0

Deep Learning Techniques on Text Classification Using Natural Language Processing (NLP) In Social Healthcare Network: A Comprehensive Survey 基于自然语言处理(NLP)的社会医疗网络文本分类深度学习技术综述

2021 3rd International Conference on Signal Processing and Communication (ICPSC) Pub Date : 2021-05-13 DOI: 10.1109/ICSPC51351.2021.9451752

P. Lavanya, E. Sasikala

{"title":"Deep Learning Techniques on Text Classification Using Natural Language Processing (NLP) In Social Healthcare Network: A Comprehensive Survey","authors":"P. Lavanya, E. Sasikala","doi":"10.1109/ICSPC51351.2021.9451752","DOIUrl":"https://doi.org/10.1109/ICSPC51351.2021.9451752","url":null,"abstract":"The social media is becoming an increasing trend for sharing the thoughts, ideas, opinions, etc. based on online reviews which generates a tremendous amount of unstructured data (ie. User posts). For processing those unstructured data supervised learning algorithms are preferred which helps for better performance optimization. Few years ago, Deep Learning (DL) techniques (ie. Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN)) models has become popular in healthcare applications by giving the rise in complicacy of the healthcare data. Deep Learning (DL) Techniques provides an effective and efficient model for data analysis by uncovering the masked patterns and find the meaningful information from the significant amount of health data whereas the traditional analytics does not able to produce within a stipulated period. Specifically, Deep Learning (DL) techniques consist of yielding good results by using the models of pattern recognition for social healthcare networks. The study of this paper focuses on by investigating the models of deep learning (DL) techniques applied to classify the text in social media healthcare networks. The main intention of this review provides an insight for training the data and to classify the text by analyzing and extracting the raw input and produce the output with the help of Natural language processing (NLP). Overall, the purpose of this review is to enhance the performance of the text classifier based on effectiveness to improve accuracy and text processing speed by using a suitable methodology in order produce the promising results in the future.","PeriodicalId":182885,"journal":{"name":"2021 3rd International Conference on Signal Processing and Communication (ICPSC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130456727","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: 32

Edge Eye: A voice assisted campus navigation system for visually impaired Edge Eye:为视障人士设计的语音辅助校园导航系统

2021 3rd International Conference on Signal Processing and Communication (ICPSC) Pub Date : 2021-05-13 DOI: 10.1109/ICSPC51351.2021.9451791

Akarsh K. Nair, Jayakrushna Sahoo

引用次数: 1