International Conference on Computing, Networking, and Communications : [proceedings]. International Conference on Computing, Networking and Communications最新文献

BER and HPA Nonlinearities Compensation for Joint Polar Coded SCMA System over Rayleigh Fading Channels 瑞利衰落信道下联合极化编码SCMA系统的误码率和HPA非线性补偿

International Conference on Computing, Networking, and Communications : [proceedings]. International Conference on Computing, Networking and Communications Pub Date : 2022-01-01 DOI: 10.1109/ComNet55492.2022.9998469

M. Hizem, I. Abidi, Maha Cherif, R. Bouallègue

引用次数: 0

Harmonizing Wearable Biosensor Data Streams to Test Polysubstance Detection. 协调可穿戴生物传感器数据流以测试多物质检测。

International Conference on Computing, Networking, and Communications : [proceedings]. International Conference on Computing, Networking and Communications Pub Date : 2020-02-01 Epub Date: 2020-03-30 DOI: 10.1109/icnc47757.2020.9049684

Joshua Rumbut, Hua Fang, Honggang Wang, Stephanie Carreiro, David Smelson, Brittany Chapman, Edward Boyer

{"title":"Harmonizing Wearable Biosensor Data Streams to Test Polysubstance Detection.","authors":"Joshua Rumbut, Hua Fang, Honggang Wang, Stephanie Carreiro, David Smelson, Brittany Chapman, Edward Boyer","doi":"10.1109/icnc47757.2020.9049684","DOIUrl":"https://doi.org/10.1109/icnc47757.2020.9049684","url":null,"abstract":"Wearable biosensors, as a key component of wireless body area network (WBAN) systems, have extended the ability of health care providers to achieve continuous health monitoring. Prior research has shown the ability of externally placed, non-invasive sensors combined with machine learning algorithms to detect intoxication from a variety of substances. Such approaches have also shown limitations. The difficulties in developing a model capable of detecting intoxication generally include differences among human beings, sensors, drugs, and environments. This paper examines how approaching wireless communication advances and new paradigms in constructing distributed systems may facilitate polysubstance use detection. We perform supervised learning after harmonizing two types of offline data streams containing wearable biosensor readings from users who had taken different substances, accurately classifying 90% of samples. We examine time domain and frequency domain features and find that skin temperature and mean acceleration are the most important predictors.","PeriodicalId":87274,"journal":{"name":"International Conference on Computing, Networking, and Communications : [proceedings]. International Conference on Computing, Networking and Communications","volume":"2020 ","pages":"445-449"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/icnc47757.2020.9049684","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"25489494","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Automatic Detection of Opioid Intake Using Wearable Biosensor. 基于可穿戴生物传感器的阿片类药物摄入自动检测。

International Conference on Computing, Networking, and Communications : [proceedings]. International Conference on Computing, Networking and Communications Pub Date : 2018-03-01 Epub Date: 2018-06-21 DOI: 10.1109/ICCNC.2018.8390334

Md Shaad Mahmud, Hua Fang, Honggang Wang, Stephanie Carreiro, Edward Boyer

{"title":"Automatic Detection of Opioid Intake Using Wearable Biosensor.","authors":"Md Shaad Mahmud, Hua Fang, Honggang Wang, Stephanie Carreiro, Edward Boyer","doi":"10.1109/ICCNC.2018.8390334","DOIUrl":"https://doi.org/10.1109/ICCNC.2018.8390334","url":null,"abstract":"A plethora of research shows that recreational drug overdoses result in major social and economic consequences. However, current illicit drug use detection in forensic toxicology is delayed and potentially compromised due to lengthy sample preparation and its subjective nature. With this in mind, scientists have been searching for ways to create a fast and easy method to detect recreational drug use. Therefore, we have developed a method for automatic detection of opioid intake using electrodermal activity (EDA), skin temperature and tri-axis acceleration data generated from a wrist worn biosensor. The proposed system can be used for home and hospital use. We performed supervised learning and extracted 23 features using time and frequency domain analysis to recognize pre- and post- opioid health conditions in patients. Feature selection procedures are used to reduce the number of features and processing time. For supervised learning, we compared three classifiers and selected the one with highest accuracy and sensitivity: decision tree, k-nearest neighbors (KNN) and eXtreme Gradient Boosting utilizing modified features. The results show that the proposed method can detect opioid use in real-time with 99% accuracy. Moreover, this method can be applied to identify other use of additional substances other than opioids. The numerical analysis is completed on data collected from 30 participants over a span of 4 months.","PeriodicalId":87274,"journal":{"name":"International Conference on Computing, Networking, and Communications : [proceedings]. International Conference on Computing, Networking and Communications","volume":"2018 ","pages":"784-788"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/ICCNC.2018.8390334","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37471387","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 34

eFCM: An Enhanced Fuzzy C-Means Algorithm for Longitudinal Intervention Data. eFCM：用于纵向干预数据的增强型模糊 C-Means 算法。

International Conference on Computing, Networking, and Communications : [proceedings]. International Conference on Computing, Networking and Communications Pub Date : 2018-03-01 Epub Date: 2018-06-21 DOI: 10.1109/ICCNC.2018.8390419

Venkata Sukumar Gurugubelli, Zhouzhou Li, Honggang Wang, Hua Fang

{"title":"eFCM: An Enhanced Fuzzy C-Means Algorithm for Longitudinal Intervention Data.","authors":"Venkata Sukumar Gurugubelli, Zhouzhou Li, Honggang Wang, Hua Fang","doi":"10.1109/ICCNC.2018.8390419","DOIUrl":"10.1109/ICCNC.2018.8390419","url":null,"abstract":"Clustering methods become increasingly important in analyzing heterogeneity of treatment effects, especially in longitudinal behavioral intervention studies. Methods such as K-means and Fuzzy C-means (FCM) have been widely endorsed to identify distinct groups of different types of data. Build upon our MIFuzzy [1], our goal is to concurrently handle multiple methodological issues in studying high dimensional longitudinal intervention data with missing values. Particularly, this paper focuses on the initialization issue of FCM and proposes a new initialization method to overcome the local optimal problem and decrease the convergence time in handling high-dimensional data with missing values for overlapping clusters. Based on the idea of K-means++ [9], we proposed an enhanced Fuzzy C-means clustering (eFCM) and incorporated it into our MIFuzzy. This method was evaluated using real longitudinal intervention data, classic and generic datasets. Compared to conventional FCM, our findings indicate eFCM can improve computational efficiency and avoid the local optimization.","PeriodicalId":87274,"journal":{"name":"International Conference on Computing, Networking, and Communications : [proceedings]. International Conference on Computing, Networking and Communications","volume":"2018 ","pages":"912-916"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6428443/pdf/nihms973824.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37086374","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A New Mining Method to Detect Real Time Substance Use Events from Wearable Biosensor Data Stream. 从可穿戴生物传感器数据流中检测实时药物使用事件的新挖掘方法。

International Conference on Computing, Networking, and Communications : [proceedings]. International Conference on Computing, Networking and Communications Pub Date : 2017-01-01 Epub Date: 2017-03-13 DOI: 10.1109/ICCNC.2017.7876173

Jin Wang, Hua Fang, Stephanie Carreiro, Honggang Wang, Edward Boyer

{"title":"A New Mining Method to Detect Real Time Substance Use Events from Wearable Biosensor Data Stream.","authors":"Jin Wang, Hua Fang, Stephanie Carreiro, Honggang Wang, Edward Boyer","doi":"10.1109/ICCNC.2017.7876173","DOIUrl":"10.1109/ICCNC.2017.7876173","url":null,"abstract":"Detecting real time substance use is a critical step for optimizing behavioral interventions to prevent drug abuse. Traditional methods based on self-reporting or urine screening are inefficient or intrusive for drug use detection, and inappropriate for timely interventions. For example, self-report suffers from distortion or recall bias; while urine screening often detects drug use that occurred only within the previous 72 hours. Methods for real-time substance use detection are severely underdeveloped, partly due to the novelty of wearable biosensor technique and the lack of substantive clinical data for evaluation. We propose a new real-time drug use event detection method using data obtained from wearable biosensors. Specifically, this method is built upon the slide window technique to process the data stream, and a distance-based outlier detection method to identify substance use events. This novel method is designed to examine how to detect and set up the thresholds of parameters in real-time drug use event detection for wearable biosensor data streams. Our numerical analyses empirically identified the thresholds of parameters used to detect the cocaine use and showed that this proposed method could be adapted to detect other substance use events.","PeriodicalId":87274,"journal":{"name":"International Conference on Computing, Networking, and Communications : [proceedings]. International Conference on Computing, Networking and Communications","volume":"2017 ","pages":"465-470"},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5631544/pdf/nihms907527.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35492898","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Learning color receptive fields and color differential structure 学习色彩感受域和色彩差异结构

International Conference on Computing, Networking, and Communications : [proceedings]. International Conference on Computing, Networking and Communications Pub Date : 2015-08-01 DOI: 10.1109/ICNC.2015.7377980

B. H. Romeny

{"title":"Learning color receptive fields and color differential structure","authors":"B. H. Romeny","doi":"10.1109/ICNC.2015.7377980","DOIUrl":"https://doi.org/10.1109/ICNC.2015.7377980","url":null,"abstract":"In this paper we study the role of brain plasticity, and investigate the emergence and self-emergence of receptive fields from scalar and color natural images by principal component analysis of image patches. We describe the classical experiment on localized PCA on center-surround weighted patches of natural scalar images. The resulting set turns out to show great similarity to Gaussian spatial derivatives, and exhibits steerability behavior. We then relate the famous experiment by Blakemore of training a cat with only visual horizontal bar information with PCA analysis of images with primarily unidirectional structure. PCA is performed for patches of RGB natural color images. The resulting profiles resemble spatio-spectral operators extracting color differential structure and shape. We discuss how spatio-spectral Gaussian derivative operators along the wavelength dimension can be modeled, originally proposed by Koenderink, and based on Hering's opponent color theory. The discussion puts the PCA findings in the perspective of multi-scale Gaussian differential geometry, multi-orientation sub-Riemannian geometry, and PCA on affinity matrices for contextual models.","PeriodicalId":87274,"journal":{"name":"International Conference on Computing, Networking, and Communications : [proceedings]. International Conference on Computing, Networking and Communications","volume":"25 1","pages":"143-148"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86726219","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

Existence of global attractor of equations of Kirchhoff type Kirchhoff型方程整体吸引子的存在性

International Conference on Computing, Networking, and Communications : [proceedings]. International Conference on Computing, Networking and Communications Pub Date : 2015-01-01 DOI: 10.1109/ICNC.2015.7378049

Bao-ping Li

引用次数: 0

Blind joint angle and frequency estimation based on uniform rectangular acoustic vector sensor array 基于均匀矩形声矢量传感器阵列的盲关节角和频率估计

International Conference on Computing, Networking, and Communications : [proceedings]. International Conference on Computing, Networking and Communications Pub Date : 2014-12-08 DOI: 10.1109/ICNC.2014.6975959

Xulingyun, Zengxianwei, Zhangguangbin

引用次数: 2

Automatic placement for matched devices of analog circuits 模拟电路匹配装置的自动放置

International Conference on Computing, Networking, and Communications : [proceedings]. International Conference on Computing, Networking and Communications Pub Date : 2013-07-23 DOI: 10.1109/ICNC.2013.6818260

Wu Yuping, Zhang Xuelian, Chen Lan, Fang Shan

引用次数: 1

Investigation of uncertainties associated with actuation modeling error and sensor noise on real time hybrid simulation performance 驱动建模误差和传感器噪声对实时混合仿真性能的不确定性研究

International Conference on Computing, Networking, and Communications : [proceedings]. International Conference on Computing, Networking and Communications Pub Date : 2013-01-28 DOI: 10.1109/ICCNC.2013.6504082

A. Maghareh, S. Dyke, G. Ou, Yili Qian

{"title":"Investigation of uncertainties associated with actuation modeling error and sensor noise on real time hybrid simulation performance","authors":"A. Maghareh, S. Dyke, G. Ou, Yili Qian","doi":"10.1109/ICCNC.2013.6504082","DOIUrl":"https://doi.org/10.1109/ICCNC.2013.6504082","url":null,"abstract":"Real time hybrid simulation (RTHS) is a promising cyber-physical method for the experimental evaluation of civil engineering structures. RTHS allows for simulation of highly complicated civil engineering structures by partitioning them into numerical and physical (experimental) substructures, reducing the costs and time associated with a single test. Numerical and experimental RTHS substructures must be integrated with high fidelity at run-time. In recent years, a great deal of progress has been made to address the many challenges in conducting the physical portion of these simulations, such as hydraulic actuation and control, magneto-rheological (MR) dampers, and sensors, making RTHS a reality. However, systematic and random uncertainties developed in the physical/experimental substructure are inevitable and can have substantial impacts on the quality of the simulation results. Due to the interaction of the numerical and physical substructures in RTHS, uncertainties associated with the physical portion are amplified and degrade the quality of RTHS results. Compared to shake table testing, it has been shown that the reliability of hybrid simulation results is highly dependent upon how successfully experimental uncertainties are mitigated. Further studies are required to understand and quantify the impacts of various sources of physical uncertainties on the quality of the simulation results. In this paper, the impact of two inevitable uncertainties on the quality of the RTHS results is studied.","PeriodicalId":87274,"journal":{"name":"International Conference on Computing, Networking, and Communications : [proceedings]. International Conference on Computing, Networking and Communications","volume":"209 1","pages":"210-214"},"PeriodicalIF":0.0,"publicationDate":"2013-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80578532","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