2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation (RTSI)最新文献_第2页

Savitzky-Golay Parameter Optimization by using Linear Discriminant Analysis for FTIR Spectra 基于线性判别分析的FTIR光谱Savitzky-Golay参数优化

2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation (RTSI) Pub Date : 2022-08-24 DOI: 10.1109/RTSI55261.2022.9905171

D. K. Agustika, Muhammad Rojib Nawawi, R. Prasetyowati, S. Hidayat, D. Iliescu, M. Leeson

{"title":"Savitzky-Golay Parameter Optimization by using Linear Discriminant Analysis for FTIR Spectra","authors":"D. K. Agustika, Muhammad Rojib Nawawi, R. Prasetyowati, S. Hidayat, D. Iliescu, M. Leeson","doi":"10.1109/RTSI55261.2022.9905171","DOIUrl":"https://doi.org/10.1109/RTSI55261.2022.9905171","url":null,"abstract":"The Savitzky-Golay (SG) smoothing technique has been successfully applied to filter the noise in spectra or chromatograms. In this research, SG smoothing was applied as a pre-processing method to analyze Fourier Transform Infrared (FTIR) spectra of chilli plants infected by Pepper Yellow Leaf Curl Virus (PYLCV) and PYLCV-undetected plants. SG smoothing has two parameters that can be optimized to achieve the best result, namely the polynomial order and the window length. For the former, orders of zero, two, four, six and eight whilst the latter used lengths from the polynomial order + 1 to 59. Linear Discriminant Analysis (LDA) was used to optimize the parameters. The results showed that the best LDA classification result was achieved using the zeroth and second order polynomials. For the zeroth order, a 100% classification result was achieved by window lengths in the range nine to twenty-five, while the second order polynomial window lengths to achieve the same results were from twenty-nine to forty-one. From the two polynomial orders, the mean squared error (MSE) of the SG smoothed, and the original signal was calculated. From that process, the zeroth order SG smoothing curve with a window length of nine produced the best parameter combination to classify the samples.","PeriodicalId":261718,"journal":{"name":"2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation (RTSI)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116042900","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

Generalised Optimal Dispatch of Multiple Energy-Frequency Services to Thermostatic Loads 恒温负荷下多能频业务的广义最优调度

2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation (RTSI) Pub Date : 2022-08-24 DOI: 10.1109/RTSI55261.2022.9905132

V. Trovato

引用次数: 0

Demonstration Of Wideband Polarization Conversion Using Novel Reflective Metasurfaces 利用新型反射超表面的宽带偏振转换论证

2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation (RTSI) Pub Date : 2022-08-24 DOI: 10.1109/RTSI55261.2022.9905135

M. Gaoua, Yacine Sekhri, P. Grassin, H. Ouslimani

引用次数: 1

Foreground Static Error Calibration for Current Sources Using Backgate Body Biasing 利用后门体偏置标定电流源前景静态误差

2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation (RTSI) Pub Date : 2022-08-24 DOI: 10.1109/RTSI55261.2022.9905200

C. Beauquier, D. Duperray, C. Jabbour, P. Desgreys, A. Frappé, A. Kaiser

引用次数: 0

A Novel Cosine Transformed Chebyshev Chaotic Map based Image Encryption 一种基于余弦变换切比雪夫混沌映射的图像加密方法

2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation (RTSI) Pub Date : 2022-08-24 DOI: 10.1109/RTSI55261.2022.9905195

Atul Kumar, M. Dua

引用次数: 1

Real-time Detection of Bio-inspired Kilobots: A Comparison of Cloud vs. Local Resources 仿生Kilobots的实时检测:云与本地资源的比较

2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation (RTSI) Pub Date : 2022-08-24 DOI: 10.1109/RTSI55261.2022.9905106

Z. Ali, Kevin Meehan, Jennifer Hyndman, Thomas Dowling

引用次数: 0

Additional Reviewers 额外的评论家

2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation (RTSI) Pub Date : 2022-08-24 DOI: 10.1109/CCGRID.2006.14

Diego Aranha, Hayrettin Bahsi, Burak Bayoglu, Fatih Birinci, A. Blaich, I. Erguler, Burak Gurdag, Ghaith Hammouri, Yin Hu, A. Kanak, Süleyman Kardaş, M. Kiraz, Osman Kiraz, Oguzhan Kulekci, Lars Kulseng, David Oswald, Erdinc Ozturk, Geovandro Pereira, Pedro Peris-López, M. Simplicio, Gokcen Arslan Tapkan, I. Taskin, C. Tezcan, Mine Tokus, Baris Tuncer, D. Westhoff, M. Winandy, R. Yilmaz

引用次数: 0

Adult and Non-Adult Classification Using ECG 成人和非成人心电图分类

2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation (RTSI) Pub Date : 2022-08-24 DOI: 10.1109/RTSI55261.2022.9905194

Azfar Adib, Weiping Zhu, M. Ahmad

引用次数: 1

Computer-Aided Dementia Detection: How Informative Are Your Features? 计算机辅助痴呆检测:你的特征信息有多丰富?

2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation (RTSI) Pub Date : 2022-08-24 DOI: 10.1109/RTSI55261.2022.9905097

Edoardo Stoppa, Guido Walter Di Donato, Natalie Parde, M. Santambrogio

{"title":"Computer-Aided Dementia Detection: How Informative Are Your Features?","authors":"Edoardo Stoppa, Guido Walter Di Donato, Natalie Parde, M. Santambrogio","doi":"10.1109/RTSI55261.2022.9905097","DOIUrl":"https://doi.org/10.1109/RTSI55261.2022.9905097","url":null,"abstract":"Alzheimer’s Disease (AD) is a progressive neurode-generative disease that has no cure. Early detection is critical to slow its development, but the diagnosis process is lengthy and costly. Computer-Aided Dementia Detection through Natural Language Processing is emerging as a viable solution for an early diagnosis. Many works in the literature use transcripts of the conversations from the famous DementiaBank dataset to train and test Machine Learning models to detect Dementia automatically. However, the reproducibility and comparability of previous results have been a significant problem in this research domain. We propose a set of curated features, a modular and extensible Feature Extraction framework, and a Performance Evaluation framework to solve these problems. We then evaluated the baseline performance of 12 Machine Learning algorithms over three different tasks: Regression, Binary Classification, and Multiclass Classification with 3, 4, and 5 classes. The top performer model was the Gradient Boosted Decision Trees, achieving an RMSE of 4.3 for the Regression task, an Accuracy of 0.78 for the Binary classification task, and an Accuracy of respectively 0.63, 0.64, and 0.49 for the 3, 4, and 5 classes Multiclass Classification tasks.","PeriodicalId":261718,"journal":{"name":"2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation (RTSI)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128634508","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

Concept for Process Mining for smart Medical Device Development 智能医疗器械开发过程挖掘概念

2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation (RTSI) Pub Date : 2022-08-24 DOI: 10.1109/RTSI55261.2022.9905078

Anna Schidek, H. Timinger

{"title":"Concept for Process Mining for smart Medical Device Development","authors":"Anna Schidek, H. Timinger","doi":"10.1109/RTSI55261.2022.9905078","DOIUrl":"https://doi.org/10.1109/RTSI55261.2022.9905078","url":null,"abstract":"Ongoing digitalization affects not only products themselves, but also the process of their development. Software tools and digital workflows generate a large number of events that are recorded in so-called event logs. Process mining uses these events and, among other things, allows conclusions to be drawn about the sequences of events during the development process. In this way, the process and the associated process model can be cross-checked and optimized. Especially in regulated areas such as medical devices, great importance is given to the traceability of the inputs made. In addition, there are further criteria to adapt process models individually, which can be of great benefit in the heterogeneous world of medical devices. This regulatory requirement cooperates well in context of process mining and the recording of event logs. In this paper, a concept for the application of process mining to optimize a customized process model for the development of smart medical devices is presented and evaluated by a case study. Furthermore, aspects could be uncovered that will be used to optimize and extend the concept in future research.","PeriodicalId":261718,"journal":{"name":"2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation (RTSI)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124463459","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