2020 31st Irish Signals and Systems Conference (ISSC)最新文献

Can multiple wearable sensors be used to detect the early onset of Parkinson's Disease? 多个可穿戴传感器能否用于检测帕金森病的早期发作?

2020 31st Irish Signals and Systems Conference (ISSC) Pub Date : 2020-06-01 DOI: 10.1109/ISSC49989.2020.9180191

Saad Abbas, J. Condell, P. Gardiner, Michael McCann, S. Todd, J. Connolly

{"title":"Can multiple wearable sensors be used to detect the early onset of Parkinson's Disease?","authors":"Saad Abbas, J. Condell, P. Gardiner, Michael McCann, S. Todd, J. Connolly","doi":"10.1109/ISSC49989.2020.9180191","DOIUrl":"https://doi.org/10.1109/ISSC49989.2020.9180191","url":null,"abstract":"The symptoms of (PD) often begins on one side of the body before separating bilaterally. Early symptoms of PD are rest tremors, bradykinesia and rigidity. Common signs are a decrease in arm swing, shuffling foot movement and slowness arising from a chair. Rigidity of muscles commonly affects a patient limbs, neck and shoulder PD is currently diagnosed after the neuro degenerative process has started. To optimize and improve PD quality of care, it should be diagnosed early in its onset once symptoms are not yet evident. The current gold standard for patient assessment of PD is the completion of symptom diaries. These diaries are subjective and usually do not accurately reflect what is taking place throughout the day. It is exceedingly difficult for an untrained observer such as family members to provide accurate description of movement characteristic in PD. An alternative way to exercise the abnormal movement in PD is to use a wearable technology system which could aid early detection of the disease and help clinicians manage medication when symptoms fluctuate throughout the day. This paper will evaluate the effectiveness of a wearable multi-sensor kinematic system capable of detecting the tell-tale signs of PD when performing tailored exercise routines. Each exercise routine will examine movement for potential PD symptoms and report finding for deeper clinician analysis.","PeriodicalId":351013,"journal":{"name":"2020 31st Irish Signals and Systems Conference (ISSC)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115743642","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

Signals & Systems: Clever Connections 信号与系统:巧妙的连接

2020 31st Irish Signals and Systems Conference (ISSC) Pub Date : 2020-06-01 DOI: 10.1109/issc49989.2020.9180167

Ruth G. Lennon, Eoghan Furey, Juanita Blue

引用次数: 0

Real-World Efficacy of an Infrastructure-Free Geomagnetic Indoor Positioning System 无基础设施地磁室内定位系统的实际效果

2020 31st Irish Signals and Systems Conference (ISSC) Pub Date : 2020-06-01 DOI: 10.1109/ISSC49989.2020.9180162

Marinus Toman, Eoghan Furey, K. Curran

{"title":"Real-World Efficacy of an Infrastructure-Free Geomagnetic Indoor Positioning System","authors":"Marinus Toman, Eoghan Furey, K. Curran","doi":"10.1109/ISSC49989.2020.9180162","DOIUrl":"https://doi.org/10.1109/ISSC49989.2020.9180162","url":null,"abstract":"Infrastructure-free Indoor Positioning Systems (IPS) are a relatively new advancement in the indoor localisation area. Traditionally, IPS's require a certain amount of dedicated infrastructure within a building to position a device accurately. There are now companies offering infrastructure-free IPS that claim they can obtain sub-metre accuracy. Some IPS's also claim to use geomagnetic positioning to achieve this accuracy. The aim here is to investigate the accuracy of an infrastructure-free IPS which offers geomagnetic positioning techniques. We explain its accuracy, what may negatively affect the accuracy of the system and to what extent are geomagnetic positioning techniques being used. An Android mobile application was developed with the primary purpose of investigating the accuracy of the IPS under various conditions. We found that the IPS at the beginning was three times more accurate than GPS and ten times more accurate at the end. The IPS was more responsive and more accurate on a device that had a magnetometer but accuracy dropped considerably when the internet connection is lost. Also, wet weather specifically impacted negatively on the accuracy.","PeriodicalId":351013,"journal":{"name":"2020 31st Irish Signals and Systems Conference (ISSC)","volume":"120 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126304775","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 Comparison of the Uplink Performance of Cell-Free Massive MIMO using Three Linear Combining Schemes: Full-Pilot Zero Forcing with Access Point Selection, Matched-Filter and Local-Minimum-Mean-Square Error 三种线性组合方案:带接入点选择的全导零强迫、匹配滤波和局部最小均方误差的无小区大规模MIMO上行链路性能比较

2020 31st Irish Signals and Systems Conference (ISSC) Pub Date : 2020-06-01 DOI: 10.1109/ISSC49989.2020.9180219

Stephen O'Hurley, Le-Nam Tran

{"title":"A Comparison of the Uplink Performance of Cell-Free Massive MIMO using Three Linear Combining Schemes: Full-Pilot Zero Forcing with Access Point Selection, Matched-Filter and Local-Minimum-Mean-Square Error","authors":"Stephen O'Hurley, Le-Nam Tran","doi":"10.1109/ISSC49989.2020.9180219","DOIUrl":"https://doi.org/10.1109/ISSC49989.2020.9180219","url":null,"abstract":"In this paper, three types of linear receiver for the uplink of cell-free massive multiple-input-multiple-output (MIMO) will be studied to gain a clear comparison and understanding of their performance. In a cell-free massive MIMO system, a large number of randomly distributed access points (APs) cooperate to serve a much smaller number of users in the same time-frequency resource. The three receivers of interest are matched-filter (MF) combining, full-pilot zero forcing (fpZF) combining and the local-minimum-mean-squared error (L-MMSE) combining. The APs use locally obtained channel state information to perform the combining. Max-min fairness power control is utilised for the MF and fpZF combining to ensure uniformly good service for all users in the system. We note that max-min fairness power control is not required for the L-MMSE combining since the L-MMSE scheme itself can provide the worst served users with the same spectral efficiency as the MF with max-min fairness. In this paper an AP selection scheme is proposed for the fpZF combining. In particular, the proposed AP selection scheme provides users with reasonably good spectral efficiency using a subset of APs rather than all APs serving all users, which proves to increase the overall energy efficiency of the system. The results show that the fpZF consistently outperforms the MF and L-MMSE even while using only a subset of the APs.","PeriodicalId":351013,"journal":{"name":"2020 31st Irish Signals and Systems Conference (ISSC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125802606","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 Review of Multi-Sensor Fusion System for Large Heavy Vehicles Off Road in Industrial Environments 大型重型汽车工业越野多传感器融合系统研究进展

2020 31st Irish Signals and Systems Conference (ISSC) Pub Date : 2020-06-01 DOI: 10.1109/ISSC49989.2020.9180186

De Jong Yeong, John Barry, Joseph Walsh

引用次数: 10

Predictive analytics using a Machine Learning Model to recommend the most suitable Intervention Technology for Autism related deficits 使用机器学习模型进行预测分析，为自闭症相关缺陷推荐最合适的干预技术

2020 31st Irish Signals and Systems Conference (ISSC) Pub Date : 2020-06-01 DOI: 10.1109/ISSC49989.2020.9180213

N. Akhtar, Mairead Feeney

{"title":"Predictive analytics using a Machine Learning Model to recommend the most suitable Intervention Technology for Autism related deficits","authors":"N. Akhtar, Mairead Feeney","doi":"10.1109/ISSC49989.2020.9180213","DOIUrl":"https://doi.org/10.1109/ISSC49989.2020.9180213","url":null,"abstract":"This body of work aims to collect and analyse data from previous studies completed on technological interventions (to aid autism related deficits such as social behaviour, communication and limited interest and actions that are both distinct and repetitive) [1] for people with Autism and a build machine learning model for predicting the most suitable intervention technology for a single or combination of deficits related to Autism. The author selected and collected all relevant data from current available studies. This data was used to build and train supervised classification machine learning model to predict the most suitable intervention technology for a single or combination of deficits related to autism based on deficits presented by an individual. Results indicated that machine learning is an effective tool for building a predictive model to recommend the most effective intervention technology for Autism related deficits based on data integrated from the studies. The outcomes have implications for medical professionals, caregivers, teachers and family members in effectively selecting technological intervention for autism related deficits. These interventions could help the individual better cope with their disability and potentially lessen its impact.","PeriodicalId":351013,"journal":{"name":"2020 31st Irish Signals and Systems Conference (ISSC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130905417","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

Not Everything You Read Is True! Fake News Detection using Machine learning Algorithms 不是你读到的都是真的!利用机器学习算法检测假新闻

2020 31st Irish Signals and Systems Conference (ISSC) Pub Date : 2020-06-01 DOI: 10.1109/ISSC49989.2020.9180206

Vanya Tiwari, Ruth G. Lennon, Thomas Dowling

引用次数: 8

New Robust LPC-Based Method for Time-resolved Morphology of High-noise Multiple Frequency Signals 基于鲁棒lpc的高噪声多频信号时间分辨形态学新方法

2020 31st Irish Signals and Systems Conference (ISSC) Pub Date : 2020-06-01 DOI: 10.1109/ISSC49989.2020.9180212

Jin Xu, M. Davis, Ruairí de Fréin

{"title":"New Robust LPC-Based Method for Time-resolved Morphology of High-noise Multiple Frequency Signals","authors":"Jin Xu, M. Davis, Ruairí de Fréin","doi":"10.1109/ISSC49989.2020.9180212","DOIUrl":"https://doi.org/10.1109/ISSC49989.2020.9180212","url":null,"abstract":"This paper introduces a new time-resolved spectral analysis method based on the Linear Prediction Coding (LPC) method that is particularly suited to the study of the dynamics of low Signal-to-noise Ratio (SNR) signals comprising multiple frequency components. One of the challenges of the time-resolved spectral method is that they are limited by the Heisenberg-Gabor uncertainty principle. Consequently, there is a trade-off between the temporal and spectral resolution. Most of the previous studies are time-averaged methods. The proposed method is a parameterisation method which can directly extract the dominant formants. The method is based on a z-plane analysis of the poles of the LPC filter which allows us to identify and to accurately estimate the frequency of the dominant spectral features. We demonstrate how this method can be used to track the temporal variations of the various frequency components in a noisy signal. In particular, the standard LPC method, new proposed LPC method and the Short-time Fourier Transform (STFT) are compared using a noisy Frequency Modulation (FM) signal as a test signal. We show that the proposed method provides the best performance in tracking the frequency changes in real time.","PeriodicalId":351013,"journal":{"name":"2020 31st Irish Signals and Systems Conference (ISSC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124745754","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

Playout again Sam: Jitter Buffer Playout Adjustments Still an Issue for Speech Quality Prediction Models? 再次播放Sam:抖动缓冲播放调整仍然是语音质量预测模型的问题?

2020 31st Irish Signals and Systems Conference (ISSC) Pub Date : 2020-06-01 DOI: 10.1109/ISSC49989.2020.9180163

Yusuf Cinar, P. Počta, Andrew Hines

{"title":"Playout again Sam: Jitter Buffer Playout Adjustments Still an Issue for Speech Quality Prediction Models?","authors":"Yusuf Cinar, P. Počta, Andrew Hines","doi":"10.1109/ISSC49989.2020.9180163","DOIUrl":"https://doi.org/10.1109/ISSC49989.2020.9180163","url":null,"abstract":"Objective speech quality assessment techniques, which use the perceptual models to emulate the human listening perception, have seen several revisions in the recent years. This study investigates the evolution of POLQA and ViSQOL models and scrutinise their latest versions. Prior work had identified weaknesses in both prediction models when presented with speech containing imperceptible playout adjustments. This study follows up the experiments to evaluate the progress and report the progress and the current issues, benchmarked against subjective listening quality scores. The assessment is conducted for all published versions of the POLQA and ViSQOL models and the evolution and improvement offered is analysed. We can conclude that the models have been improved in terms of imperceptible jitter buffer adjustments highlighted in prior work. This study also explores the performance of objective quality models and intelligibility (STOI and POLQA Intelligibility) models for a data set produced with realistic but extreme WebRTC scenarios using a standard and novel WebRTC jitter buffer strategy. An expert listening test was conducted to subjectively evaluate the WebRTC data set. It is observed that the standard WebRTC jitter buffer strategy produces more natural speech while the novel approach offers better intelligibility. The subjective and objective quality results suggest that the speech quality for standard jitter buffer were lower but more consistent than for the novel jitter buffer. The objective intelligibility results were conflicting. A followup study will conduct independent subjective evaluations of quality and intelligibility to further explore the relationship between the objective intelligibility and quality results.","PeriodicalId":351013,"journal":{"name":"2020 31st Irish Signals and Systems Conference (ISSC)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124759230","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

Analysis and Prediction of Spurs in a Fractional-N Frequency Synthesizer with Discontinuous Nonlinearity 具有不连续非线性的分数n频率合成器中杂散的分析与预测

2020 31st Irish Signals and Systems Conference (ISSC) Pub Date : 2020-06-01 DOI: 10.1109/ISSC49989.2020.9180180

Valerio Mazzaro, Luke Gleeson, Michael Peter Kennedy

引用次数: 1