2019 1st International Conference on Innovations in Information and Communication Technology (ICIICT)最新文献_第9页

Design and Implementation of Reconfigurable Architecture for Automatic Monitoring and Detection System for Tonsillitis 扁桃体炎自动监测与检测系统可重构架构的设计与实现

2019 1st International Conference on Innovations in Information and Communication Technology (ICIICT) Pub Date : 2019-04-01 DOI: 10.1109/ICIICT1.2019.8741496

S. Sheeba, T. Jeyaseelan

{"title":"Design and Implementation of Reconfigurable Architecture for Automatic Monitoring and Detection System for Tonsillitis","authors":"S. Sheeba, T. Jeyaseelan","doi":"10.1109/ICIICT1.2019.8741496","DOIUrl":"https://doi.org/10.1109/ICIICT1.2019.8741496","url":null,"abstract":"Tonsillitis is the major problem for children and aged people. There exists a lack of doctors for frequently monitoring and detecting the Tonsillitis. Therefore, it is very important to develop an automated tonsillitis monitoring and detection system. In this project the design and implementation of automated tonsillitis monitoring and detection system using FPGA is proposed. An automated tonsillitis monitoring and detection system aims for separate use also provides portability, a compact size with reliable functionality. In this system a tonsillitis image of a person is acquired through camera and the image is processed for noise reduction. The preprocessed image is further processed to extract tonsil color and size by using boundary detection and feature extraction algorithm. At last, the three stages are determined using classifier. The execution of the proposed method is assessed by comparing the results of proposed experimental system with results of the doctors. The simulation results that shows the red color level of tonsillitis image for normal stage, early stage and final stage lies in the range of (224-243), (185-123) and (39-109) respectively.","PeriodicalId":118897,"journal":{"name":"2019 1st International Conference on Innovations in Information and Communication Technology (ICIICT)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133278350","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

A Proposed Framework for Recognition of Handwritten Cursive English Characters using DAG-CNN 一种基于DAG-CNN的手写英文草书字符识别框架

2019 1st International Conference on Innovations in Information and Communication Technology (ICIICT) Pub Date : 2019-04-01 DOI: 10.1109/ICIICT1.2019.8741412

P. Bhagyasree, A. James, C. Saravanan

引用次数: 10

Smart Buspass System Using Android 基于Android的智能公交系统

2019 1st International Conference on Innovations in Information and Communication Technology (ICIICT) Pub Date : 2019-04-01 DOI: 10.1109/ICIICT1.2019.8741432

Pandimurugan V, Jayaprakash R, R. V, Yogeshwar Singh K

引用次数: 1

A Survey on Different Multimodal Medical Image Fusion Techniques and Methods 多模态医学图像融合技术与方法综述

2019 1st International Conference on Innovations in Information and Communication Technology (ICIICT) Pub Date : 2019-04-01 DOI: 10.1109/ICIICT1.2019.8741445

Jipsha Mariam Dolly, Nisa A K

引用次数: 9

Smart Garbage Segregation & Management System Using Internet of Things(IoT) & Machine Learning(ML) 使用物联网(IoT)和机器学习(ML)的智能垃圾分类和管理系统

2019 1st International Conference on Innovations in Information and Communication Technology (ICIICT) Pub Date : 2019-04-01 DOI: 10.1109/ICIICT1.2019.8741443

Shamin N, P. Fathimal, R. R., K. Prakash

{"title":"Smart Garbage Segregation & Management System Using Internet of Things(IoT) & Machine Learning(ML)","authors":"Shamin N, P. Fathimal, R. R., K. Prakash","doi":"10.1109/ICIICT1.2019.8741443","DOIUrl":"https://doi.org/10.1109/ICIICT1.2019.8741443","url":null,"abstract":"The expansion in populace has prompted gigantic increment in the contamination also. It may peeve numerous relentless diseases for the people. For eliminating or alleviating the garbages and to keep up the cleanness, it requires a smart garbage managing architecture. But there is another severe problem, that to segregate the wastes that has been collected. This paper proposes IoT stationed smart waste segregation and management device which detects the wastes in the dustbins with the aid of using Sensor devices and as soon as it is detected the waste substances in it will be segregated with the help of sensors and right away information is transferred to cloud database via IoT. Microcontroller is utilized as an association between the sensors and IoT module. Ultra-sonic sensor is utilized to distinguish the nearness of the waste material. The moisture sensor is used to analyze and report the moisture content in the waste, and if there is moisture content available then the waste cannot be put in the dustbin. Metal sensor is used to separate the metal items and is separated to a section. Image processing algorithm is used to identify the plastics and degradable items and is separated to another separate sections. The dustbin data are uploaded to the cloud using IoT in real time. This helps in clearing the wastage from dustbin in an efficient and smartest way.","PeriodicalId":118897,"journal":{"name":"2019 1st International Conference on Innovations in Information and Communication Technology (ICIICT)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130924337","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: 25

An Overview of Deep Learning Based Object Detection Techniques 基于深度学习的目标检测技术综述

2019 1st International Conference on Innovations in Information and Communication Technology (ICIICT) Pub Date : 2019-04-01 DOI: 10.1109/ICIICT1.2019.8741359

Bhagya C, Shyna A

引用次数: 16

Cooperative Quality Choice and Categorization for Multilabel Soak Up Process 多标签吸收过程的协同质量选择与分类

2019 1st International Conference on Innovations in Information and Communication Technology (ICIICT) Pub Date : 2019-04-01 DOI: 10.1109/ICIICT1.2019.8741469

Shanmuga Sai R, Uma Priyadarsini, M. Nalini

{"title":"Cooperative Quality Choice and Categorization for Multilabel Soak Up Process","authors":"Shanmuga Sai R, Uma Priyadarsini, M. Nalini","doi":"10.1109/ICIICT1.2019.8741469","DOIUrl":"https://doi.org/10.1109/ICIICT1.2019.8741469","url":null,"abstract":"The proposed system is going to deal with a very challenging task of automatically generating presentation slides for academic papers. The wide accessibility of web archives in electronic structures requires a programmed method to mark the records with a predefined set of subjects, what is known as customized Text Categorization (TC). Over the previous decades, it has been seen a substantial number of cutting edge machine learning calculations to address this testing errand. The produced introduction slides can be used as drafts to enable the moderators to set up their formal slides quickly. Documents are usually represented by the \"bag-of-words\": namely, each word or phrase occurs in documents once or more times is considered as a feature. It initially utilizes the relapse strategy to take in the significance scores of the sentences in a scholastic paper, and afterward a compelling calculation is created for multi-name grouping with using those information that are important to the objectives.The key is the development of a coefficient-based mapping among preparing and test cases, where the mapping relationship abuses the connections among the examples, instead of the unequivocal connection between the factors and the class marks of information and fabricates the staggered classifier on the adjusted low-dimensional data depictions in the meantime. It at first uses the backslide system to take in the importance scores of the sentences in an educational paper, and after that experiences the Latent Dirichlet Allocation (LDA) methodology to make especially sorted out slides by picking and modifying key articulations and sentences to a point for the slide. We set up a sentence scoring model in light of gullible Bayes classifier and use the LDA strategy to modify and expel key articulations and sentences for delivering the slides. Exploratory results exhibit that our technique can deliver very much wanted slides over regular procedures.","PeriodicalId":118897,"journal":{"name":"2019 1st International Conference on Innovations in Information and Communication Technology (ICIICT)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114354909","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

Hypaponics - Monitoring and Controlling using Internet of Things and Machine Learning Hypaponics -利用物联网和机器学习监测和控制

2019 1st International Conference on Innovations in Information and Communication Technology (ICIICT) Pub Date : 2019-04-01 DOI: 10.1109/ICIICT1.2019.8741487

V. R, Parthasarathi Rv, Navaneethraj A, S. P, M. Ka, Karan S

{"title":"Hypaponics - Monitoring and Controlling using Internet of Things and Machine Learning","authors":"V. R, Parthasarathi Rv, Navaneethraj A, S. P, M. Ka, Karan S","doi":"10.1109/ICIICT1.2019.8741487","DOIUrl":"https://doi.org/10.1109/ICIICT1.2019.8741487","url":null,"abstract":"Hypaponics is a monitoring system which takes care of integrated vertical farming. Hypaponics contains fields like Aquaponics, Agriculture and poultry. It is monitored using various sensors and the predictions are taken based on the data using Machine Learning Algorithms. These are the advantages for the farmers to decrease their water, fertilizer usage in farm and to increase their profit hence it gives multiple ways for the income. It also gives pure organic food to eat. We can also use Solar power panels for energy. This also helps the environment to lead a healthy life free from pollution. The sensors will be kept inside the hypaponics system. The detailed information about it will be noted under the hardware topic and the data from the IoT will be stored on the cloud (AWS, Microsoft Azure, Google cloud, IBM Cloud, etc) for machine learning. The organic store will be hosted where the organic products are uploaded with their cost. The consumer can check whether its organic or not by the QR code that the consumer found on their pack, where each field, product will have unique QR code in it. The farmers will also get all kind of supports from the help desk they find on the portal. The whole system is monitored 24/7 and the input to farmers are given at a regular intervals of time. The latest technologies like Internet of Things and Machine Learning are used in this project to predict the plants growth and the maintenance charges are also less. The 10% of the water is only consumed by this method while comparing with the ancient irrigation methodologies. This also saves the environment from pollution, food poisoning, diseases.","PeriodicalId":118897,"journal":{"name":"2019 1st International Conference on Innovations in Information and Communication Technology (ICIICT)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114819662","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: 8

Dehazing and Road Feature Extraction from Satellite Images 卫星图像去雾与道路特征提取

2019 1st International Conference on Innovations in Information and Communication Technology (ICIICT) Pub Date : 2019-04-01 DOI: 10.1109/ICIICT1.2019.8741492

Archa Gopan, Abid Hussain Muhammed

引用次数: 1

Descriptive Study and Analysis Of Crowd Sourcing Techniques in Mobile Social Media Networks 移动社交媒体网络中众包技术的描述性研究与分析

2019 1st International Conference on Innovations in Information and Communication Technology (ICIICT) Pub Date : 2019-04-01 DOI: 10.1109/ICIICT1.2019.8741449

S. Ramachandran, V. Sasireka

{"title":"Descriptive Study and Analysis Of Crowd Sourcing Techniques in Mobile Social Media Networks","authors":"S. Ramachandran, V. Sasireka","doi":"10.1109/ICIICT1.2019.8741449","DOIUrl":"https://doi.org/10.1109/ICIICT1.2019.8741449","url":null,"abstract":"Nowadays wearable devices and smartphones have been embedded with sensors, like microphones, global positioning systems (GPS), thermometers, cameras, and accelerometers, which use a sensing paradigm, called mobile crowd sensing. Several individuals employ their mobile devices for extracting and sharing data corresponding to their wish. Mobile crowd sensing is advantaged over traditional sensor networks because of its extensive coverage, high sensing accuracy, and low cost,. Accordingly, this survey presents a distinct mobile crowd sensing techniques. Thus, this review article provides a detailed review of 25 research papers showing the mobile crowd sensing techniques, like task assignment-based methods, group-based recruitment system, green mobile crowd sensing-based techniques and so on. Moreover, an elaborative analysis and discussion are made concerning the evaluation metrics, employed methods, utilized datasets, a tool for implementation, publication year, and energy consumption. Eventually, the research gaps and issues of various mobile crowd sensing techniques are presented for extending the researchers towards a better future scope.","PeriodicalId":118897,"journal":{"name":"2019 1st International Conference on Innovations in Information and Communication Technology (ICIICT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130448374","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