2018 International Conference on Advances in Computing and Communication Engineering (ICACCE)最新文献

A Survey of Mobile Computation Offloading: Applications, Approaches and Challenges 移动计算卸载综述:应用、方法和挑战

2018 International Conference on Advances in Computing and Communication Engineering (ICACCE) Pub Date : 2018-06-22 DOI: 10.1109/ICACCE.2018.8441740

Sandeep Kumar, Manan Tyagi, Abhirup Khanna, Vivudh Fore

{"title":"A Survey of Mobile Computation Offloading: Applications, Approaches and Challenges","authors":"Sandeep Kumar, Manan Tyagi, Abhirup Khanna, Vivudh Fore","doi":"10.1109/ICACCE.2018.8441740","DOIUrl":"https://doi.org/10.1109/ICACCE.2018.8441740","url":null,"abstract":"The widespread acceptability of mobile devices in present times have led to the rise of applications which are progressively more affluent in terms of functionalities they offer to mobile users. Such applications might be very popular among users but their implementation may result in squandering many of the device end resources. Mobile Cloud Computing (MCC) has a solution to this problem by means of Mobile Computation Offloading. MCO, as it is commonly addressed offloads selective parts of an application to the cloud. At a glance, one might find computation offloading very promising when it comes to conserving device end resources but eventually, it may turn out to be the other way round if performed in a static manner. Recurrent modifications in device end resources and computing environment variables might cause a decline in the efficiency of offloading mechanisms and even result in tumbling quality of service for applications dealing with real-time information. Issues such as security and privacy still continue to possess a challenge towards current offloading mechanisms. In this work of ours, we present a critical analysis of various offloading techniques and mechanisms based upon parameters of performance augmentation, energy conservation and security and privacy aspects.","PeriodicalId":214619,"journal":{"name":"2018 International Conference on Advances in Computing and Communication Engineering (ICACCE)","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124670925","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: 9

Liver Disease Detection Due to Excessive Alcoholism Using Data Mining Techniques 基于数据挖掘技术的过度酒精中毒肝病检测

2018 International Conference on Advances in Computing and Communication Engineering (ICACCE) Pub Date : 2018-06-22 DOI: 10.1109/ICACCE.2018.8441721

Insha Arshad, Chiranjit Dutta, T. Choudhury, Abha Thakral

{"title":"Liver Disease Detection Due to Excessive Alcoholism Using Data Mining Techniques","authors":"Insha Arshad, Chiranjit Dutta, T. Choudhury, Abha Thakral","doi":"10.1109/ICACCE.2018.8441721","DOIUrl":"https://doi.org/10.1109/ICACCE.2018.8441721","url":null,"abstract":"Alcohol is consumed in excess by millions of people across the world. Alcohol consumption is directly linked to life threatening liver diseases such as cirrhosis which may ultimately lead to death. Early detection of liver disease caused by over consumption of alcohol would help in saving lives of many people. By detecting liver disease in its early stage, it can be diagnosed in time and may lead to full recovery in some patients. This paper proposes detection as well as to predict the presence of liver disease using data mining algorithms. We will make a decision tree for the dataset and then the rules will be generated. After determining the rules, we will use different data mining algorithms to train and test the dataset to detect the liver disease. The data was collected from UCI repository and our training dataset was developed. It consists of 7 different attributes having 345 instances. In the dataset, different categories of blood tests are taken into considerations which are directly linked to liver diseases that may arise due to excessive alcohol consumption along with frequency of alcohol consumption. Based on the type of liver disease detected, prognosis may be suggested.","PeriodicalId":214619,"journal":{"name":"2018 International Conference on Advances in Computing and Communication Engineering (ICACCE)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120994383","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: 24

Network Coding Hard and Soft Decision Behavior over the Physical Payer Using PUMTC 使用PUMTC的实体付款人的网络编码软硬决策行为

2018 International Conference on Advances in Computing and Communication Engineering (ICACCE) Pub Date : 2018-06-22 DOI: 10.1109/ICCOMM.2018.8430140

Hani H. Attar, Mohamad Alhihi, Bochao Zhao, L. Stanković

引用次数: 0

Elastic Search in Cache Based Service Management For Healthcare Automation 基于缓存的医疗保健自动化服务管理中的弹性搜索

2018 International Conference on Advances in Computing and Communication Engineering (ICACCE) Pub Date : 2018-06-01 DOI: 10.1109/ICACCE.2018.8441722

Harshit Sinha, Dewang, G. Raj

引用次数: 0

Remote Health Monitoring System Using IoT 使用物联网的远程健康监测系统

2018 International Conference on Advances in Computing and Communication Engineering (ICACCE) Pub Date : 2018-06-01 DOI: 10.1109/ICACCE.2018.8441731

Sarthak Gupta, Divyansh Dahiya, G. Raj

引用次数: 0

Temporal Event based Compliance Monitoring 基于时间事件的遵从性监控

2018 International Conference on Advances in Computing and Communication Engineering (ICACCE) Pub Date : 2018-06-01 DOI: 10.1109/ICACCE.2018.8441700

Mouna Hedjeres, Abdellah Boukerram, Samir Sebahi, Mohand-Said Hacid

引用次数: 1

A Past Examination and Future Expectation: Ransomware 过去的检查和未来的期望:勒索软件

2018 International Conference on Advances in Computing and Communication Engineering (ICACCE) Pub Date : 2018-06-01 DOI: 10.1109/ICACCE.2018.8441743

Dhruv Garg, Abha Thakral, Tarun Nalwa, T. Choudhury

引用次数: 5

EEG Signal Classification for Real- Time Neuro Marketing Applications 脑电信号分类在实时神经营销中的应用

2018 International Conference on Advances in Computing and Communication Engineering (ICACCE) Pub Date : 2018-06-01 DOI: 10.1109/ICACCE.2018.8441756

Anysha Jain, T. Choudhury, Ruby Singh, Praveen Kumar

引用次数: 3

Modification to DFT -Based Codevectors for Beamforming over the SCM Using Circular Arrays 用圆形阵列改进基于DFT的单片机波束形成编码矢量

2018 International Conference on Advances in Computing and Communication Engineering (ICACCE) Pub Date : 2018-06-01 DOI: 10.1109/ICACCE.2018.8441746

Jun-Hyo Shin, Huiwon Kim, Ju Sub, Changhyeon Kim, Wonjin Sung, J. Jang

引用次数: 1

Machine Learning Approach for Non-Invasive Detection of Blood Glucose Concentration using Microwave 微波无创检测血糖浓度的机器学习方法

2018 International Conference on Advances in Computing and Communication Engineering (ICACCE) Pub Date : 2018-06-01 DOI: 10.1109/ICACCE.2018.8441729

Y. N. R. Reddy, K. Chandrasekaran, M. Karim, A. Alphones, M. Y. Siyal, A. Liu

{"title":"Machine Learning Approach for Non-Invasive Detection of Blood Glucose Concentration using Microwave","authors":"Y. N. R. Reddy, K. Chandrasekaran, M. Karim, A. Alphones, M. Y. Siyal, A. Liu","doi":"10.1109/ICACCE.2018.8441729","DOIUrl":"https://doi.org/10.1109/ICACCE.2018.8441729","url":null,"abstract":"A non-invasive blood glucose measurement method based on microwave transmission and applying machine learning technique to the data obtained, is proposed for monitoring the patients' blood glucose level. Using this technique, non-invasive measurement of the blood glucose concentration at the earlobe portion can be realized and put into use by analysing the reflected microwave signals. A third order Cole-Cole equation is derived to model the dielectric properties of human tissues. Particle swarm optimisation technique is used to determine the coefficients for the glucose concentration dependent equations. With these estimated dielectric values of human tissues, human earlobe portion is modelled and tested at a wide range of frequencies to analyse for the region of linearity. It was observed that frequency range from 6–8 GHz shows the linearity and calculating the complex permittivity values with the help of transmission parameters. Applying Machine-learning technique to the above process can facilitate a real-time processing which in turn is able to alert patients during hyperglycemia conditions, and can suggest a precise dose of insulin to intake.","PeriodicalId":214619,"journal":{"name":"2018 International Conference on Advances in Computing and Communication Engineering (ICACCE)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121659797","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