2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI)最新文献_第6页

Effortless exchange of personal health records using near field communication 使用近场通信轻松交换个人健康记录

2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI) Pub Date : 2016-09-01 DOI: 10.1109/ICACCI.2016.7732303

V. Sujadevi, T. H. Kumar, A. S. Arunjith, P. Hrudya, P. Poornachandran

{"title":"Effortless exchange of personal health records using near field communication","authors":"V. Sujadevi, T. H. Kumar, A. S. Arunjith, P. Hrudya, P. Poornachandran","doi":"10.1109/ICACCI.2016.7732303","DOIUrl":"https://doi.org/10.1109/ICACCI.2016.7732303","url":null,"abstract":"Personal health records (PHR) either resides in the hospital or resides with the patient in the form of paper-based records. When PHR is in the printed form it is bulky and inconvenient to carry by the user. Since smart phones has become ubiquitous and a necessity in day to day life, and most of them are equipped with contactless near field communication (NFC), we propose to exploit the inherent advantages of NFC or near field communication to transfer the personal health records from health care settings to patients smart phone and vice versa. This solution will make it convenient for the patient to carry the personal health records with them. This also achieve the quick access to PHR during medical emergencies, that ensures faster intervention. Also it will empower the patient to always carry his or her personal health records with them that come in handy during any medical emergencies. In this paper we prove that peer-to-peer mode in NFC that uses NFC and Bluetooth technologies can be leveraged for secure and seamless transfer of the personal health records from one healthcare network to another. We have analyzed and presented the advantages and disadvantages of this method and demonstrated the effectiveness of a novel method that uses NFC for sharing Personal Health records.","PeriodicalId":371328,"journal":{"name":"2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124430283","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 different type of charge pump using CMOS technology 利用CMOS技术设计和分析了不同类型的电荷泵

2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI) Pub Date : 2016-09-01 DOI: 10.1109/ICACCI.2016.7732062

Harshita Dadhich, V. Maurya, K. Verma, S. Jaiswal

{"title":"Design and analysis of different type of charge pump using CMOS technology","authors":"Harshita Dadhich, V. Maurya, K. Verma, S. Jaiswal","doi":"10.1109/ICACCI.2016.7732062","DOIUrl":"https://doi.org/10.1109/ICACCI.2016.7732062","url":null,"abstract":"Basically charge pump are used to produce a higher voltage than the power supply voltage. The charge pump is a DC to DC converter which uses capacitor as energy storage elements to produce a higher or lower voltage. This paper present a comparison between two of the most admired charge pump structures such as Dickson charge pump and Charge pump circuit with cross connected NMOS cells. The comparison has been carried out considering the output voltage, power consumption, delay, output current and conversion ratio. The discussion is supported by practical analysis of both the charge pump. The two charge pumps are taken with the input clock signal, power supply voltage, the same storage capacitance per stage, and the same number of stages. The object of this paper is to compare the all the parameter of the charge pump to found best charge pump. The comparison showed that the charge pump circuit with cross connected NMOS cells is best rather than Dickson charge pump. All simulation and result of Dickson charge pump and Charge pump circuit with cross connected NMOS cells is done at tanner tool 14.1.","PeriodicalId":371328,"journal":{"name":"2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114574332","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

Driver's distraction detection based on gaze estimation 基于注视估计的驾驶员分心检测

2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI) Pub Date : 2016-09-01 DOI: 10.1109/ICACCI.2016.7732431

Shweta Maralappanavar, R. Behera, U. Mudenagudi

引用次数: 12

Developing and validating virtualized transactional application of educational institutes using InFraMegh 利用InFraMegh开发和验证教育机构的虚拟事务应用程序

2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI) Pub Date : 2016-09-01 DOI: 10.1109/ICACCI.2016.7732284

I. Arora, Anu Gupta

{"title":"Developing and validating virtualized transactional application of educational institutes using InFraMegh","authors":"I. Arora, Anu Gupta","doi":"10.1109/ICACCI.2016.7732284","DOIUrl":"https://doi.org/10.1109/ICACCI.2016.7732284","url":null,"abstract":"Cloud Computing (CC) is considered a constructive technology for read-intensive analytical applications rather than write-intensive transactional applications. Deploying transactional applications in the Cloud is not considered safe due to requirement of stringent ACID guarantees. These rules can be enforced in Cloud using middleware tools like CloudTran and Oracle Coherence. It becomes a major challenge to integrate these tools for a transactional application developer. So, an integrated framework for educational institutes named as `InFraMegh' is developed. It works on top of CloudTran and Oracle Coherence. InFraMegh focuses on Cloud Data Management layer and provides generalized API for managing data in cache and database. InFraMegh speeds up and eases the development efforts of transactional application developer for Cloud. As proof of concept, a transactional application of educational institutes named as Student Registration Return System (SRRS) is used for verifying the functionality of InFraMegh. SRRS is virtualized using XenApp and accessed on client machines. Virtualized SRRS is tested in single-user and multi-user environments. Its performance is found better over traditional client-server architecture. Hence, InFraMegh expedites efforts of developers in developing transaction applications in Cloud. It allows educational institutes to manage data in Cloud.","PeriodicalId":371328,"journal":{"name":"2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114975951","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

Electrocardiogram waveform denoising using a modified multi-resolution filtered-x LMS algorithm based on discrete wavelet transform 基于离散小波变换的改进多分辨率滤波-x LMS算法对心电图波形进行去噪

2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI) Pub Date : 2016-09-01 DOI: 10.1109/ICACCI.2016.7732372

Roopkanwal, S. P. Kaur

引用次数: 3

Is sentiment analysis an art or a science? Impact of lexical richness in training corpus on machine learning 情感分析是一门艺术还是一门科学?训练语料库中词汇丰富度对机器学习的影响

2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI) Pub Date : 2016-09-01 DOI: 10.1109/ICACCI.2016.7732474

Sanchit Garg, Aashish Saini, Nitika Khanna

{"title":"Is sentiment analysis an art or a science? Impact of lexical richness in training corpus on machine learning","authors":"Sanchit Garg, Aashish Saini, Nitika Khanna","doi":"10.1109/ICACCI.2016.7732474","DOIUrl":"https://doi.org/10.1109/ICACCI.2016.7732474","url":null,"abstract":"Social Media is exploding with data - that can help you derive an optimal marketing strategy in the internet world, engage with your audience on the fly, and protect your reputation from smearing campaigns if it is processed and analyzed in a timely fashion. Digital marketing analysts and data scientists rely on social media analytics tools to deduce customer sentiment from countless opinions and reviews. While numerous attempts have been made to improve their accuracy in the past, yet we know surprisingly little about how accurate their results are. We present an unbiased study of users' tweets and the methods that leverage the available tools & technologies for opinion mining. Our prime focus is on improving the consistency of text classifiers used for linguistic analysis. We also measure the impact of lexical richness in the sample data on the trained algorithm. This paper attempts to improve the reliability of sentiment classification process by the creation of a custom vote classifier using natural language processing techniques and various machine learning algorithms.","PeriodicalId":371328,"journal":{"name":"2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116984813","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

How social media can contribute during disaster events? Case study of Chennai floods 2015 社交媒体如何在灾难事件中发挥作用?2015年金奈洪灾案例研究

2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI) Pub Date : 2016-09-01 DOI: 10.1109/ICACCI.2016.7732236

N. Pandey, S. Natarajan

引用次数: 28

Harnessing the discriminatory strength of dictionaries 利用字典的区别力量

2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI) Pub Date : 2016-09-01 DOI: 10.1109/ICACCI.2016.7732268

R. Menon, Neethu V. Kini, G. Krishnan

{"title":"Harnessing the discriminatory strength of dictionaries","authors":"R. Menon, Neethu V. Kini, G. Krishnan","doi":"10.1109/ICACCI.2016.7732268","DOIUrl":"https://doi.org/10.1109/ICACCI.2016.7732268","url":null,"abstract":"Over the past few years there are many developments in the area of classification in data mining. Classification is a supervised learning method, that maps data into predefined groups or classes. Nowadays classification techniques are extensively used in different applications. In this area most of the research works are done on text, image, signal etc. The main goal of this paper is to use a dictionary-based approach to learn, represent and classify documents. We consider dictionary as a collection of documents and each document in the dictionary is represented as a collection of vectors. An algorithm is also implemented to easily locate a class specific document in the dictionary and if it is not present, update the dictionary. The existing method is based on a dictionary learning algorithm which only improves the document representation based on Singular Value Decomposition (SVD) updation. Since SVD will not be helpful for discrimination of data, so our proposed algorithm is Linear Discriminant Analysis (LDA) for learning a discriminating dictionary. On applying the proposed algorithm on well known dataset, the overall results obtained shows 90% improvement in accuracy. The advantage is that it can be used for both representation as well as classification.","PeriodicalId":371328,"journal":{"name":"2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116286004","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

A neural network based breast cancer prognosis model with PCA processed features 基于神经网络的PCA特征处理乳腺癌预后模型

2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI) Pub Date : 2016-09-01 DOI: 10.1109/ICACCI.2016.7732327

Smita Jhajharia, H. Varshney, S. Verma, R. Kumar

引用次数: 30

An affine combination of two adaptive filters for system identification with variable sparsity 可变稀疏度系统辨识中两个自适应滤波器的仿射组合

2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI) Pub Date : 2016-09-01 DOI: 10.1109/ICACCI.2016.7732060

P. Rakesh, T. Kumar

引用次数: 2