2019 22nd International Conference on Control Systems and Computer Science (CSCS)最新文献_第5页

Noise Removal from ECG Signal Based on Filtering Techniques 基于滤波技术的心电信号噪声去除

2019 22nd International Conference on Control Systems and Computer Science (CSCS) Pub Date : 2019-05-01 DOI: 10.1109/CSCS.2019.00037

M. Almalchy, Vlad Ciobanu, N. Popescu

{"title":"Noise Removal from ECG Signal Based on Filtering Techniques","authors":"M. Almalchy, Vlad Ciobanu, N. Popescu","doi":"10.1109/CSCS.2019.00037","DOIUrl":"https://doi.org/10.1109/CSCS.2019.00037","url":null,"abstract":"The Electrocardiogram (EKG or ECG) is a semi-cyclic, rhythmically, and synchronous signal with a cardiac function through the passive sensory apparatus in which the apparatus is performing as generator of bioelectric signal mimicking the function of the heart. The EKG signals are inherently weak, and noisy signals built of many variable components due to many environmental factors in which it may include but is not limited to changes in body temperature, body movement, and line frequency 50/60 Hz. The ECG signal cannot be conditioned, amplified, nor reproduced directly and therefore, digital filtering techniques with adjustable window are used in this paper. The paper analyses several models of Finite Impulse Response (FIR) filters of low-pass and high-pass and their aspects in term of response time, gain, and harmonic distortion, and rejection to determine the best band-pass filtering model to reproduce an ECG signal that closely resembles the actual Heart function of a patient. A hybrid filtering model is proposed and experimentally tested. Mean square error (MSE) is used to estimate a signal goodness. MATLAB environment has been used for the experimental part to simulate the signals. This research work has been considered in the context of a larger project that consists of a complex wearable health monitoring system comprising biosensors, wireless communication modules and links, control and processing units, medical shields, wearable materials and advanced algorithms used for decision making and data extracting. The proposed filtering technique is useful in the medical data preprocessing phase.","PeriodicalId":352411,"journal":{"name":"2019 22nd International Conference on Control Systems and Computer Science (CSCS)","volume":"149 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131773661","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: 8

Cyber Security of Smart Grids in the Context of Big Data and Machine Learning 大数据和机器学习背景下的智能电网网络安全

2019 22nd International Conference on Control Systems and Computer Science (CSCS) Pub Date : 2019-05-01 DOI: 10.1109/CSCS.2019.00018

D. Dogaru, I. Dumitrache

引用次数: 8

Brain-Computer Interface: Challenges and Research Perspectives 脑机接口:挑战与研究展望

2019 22nd International Conference on Control Systems and Computer Science (CSCS) Pub Date : 2019-05-01 DOI: 10.1109/CSCS.2019.00071

R. Lupu, F. Ungureanu, Corina Cimpanu

{"title":"Brain-Computer Interface: Challenges and Research Perspectives","authors":"R. Lupu, F. Ungureanu, Corina Cimpanu","doi":"10.1109/CSCS.2019.00071","DOIUrl":"https://doi.org/10.1109/CSCS.2019.00071","url":null,"abstract":"Nowadays, the interest in the Brain-Computer Interfacing (BCI) domain is continuously growing, only judging by the number of BCI related papers published or presented in neuro-engineering or neuroscience journals, conferences or workshops. In all these studies, brain activity is considered as a simple modality of providing a system or a device with knowledge from human interactions. Although this simple transfer of information represents a significant development since BCI also integrates brain signals with data from sources like speech, eye gaze, gestures, facial expressions, body postures or physiological measures like heart rate, blood pressure or electrodermal activity. This fusion creates a context-aware and a context-dependent interpretation of the brain signals but represents in the same time a challenge for the neuroscience researchers that must process and represent all this data for clinical or non-clinical applications. BCI has become an addictive and powerful research domain offering a wide range of applications from cognitive load in educational tasks and gaming to automotive and assistive technology. This paper aims to outline current trends in brain-computer interface development and research from the perspective of the authors' experience and scientific literature.","PeriodicalId":352411,"journal":{"name":"2019 22nd International Conference on Control Systems and Computer Science (CSCS)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126104033","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: 11

Demand Dispatch for the Distribution Grid – A Proposal for the Romanian Power System 配电网的需求调度——罗马尼亚电力系统的建议

2019 22nd International Conference on Control Systems and Computer Science (CSCS) Pub Date : 2019-05-01 DOI: 10.1109/CSCS.2019.00061

N. Arghira, I. Fagarasan, Cristina Nichiforov, S. S. Iliescu, Iulia Stamatescu, V. Calofir, N. Ignat

引用次数: 2

Detecting Vital Signs Using Inertial Measurement Unit Sensors in Military Applications 惯性测量单元传感器在军事中的应用

2019 22nd International Conference on Control Systems and Computer Science (CSCS) Pub Date : 2019-05-01 DOI: 10.1109/CSCS.2019.00022

Alexandru Cismas, Eduard Cismas, D. Popescu

引用次数: 1

Collecting and Processing a Self-Driving Dataset in the UPB Campus UPB校园自动驾驶数据集的采集与处理

2019 22nd International Conference on Control Systems and Computer Science (CSCS) Pub Date : 2019-05-01 DOI: 10.1109/CSCS.2019.00041

A. Nica, Mihai Trăscău, Alexandru Andrei Rotaru, C. Andreescu, Alexandru Sorici, A. Florea, Vlad Bacue

{"title":"Collecting and Processing a Self-Driving Dataset in the UPB Campus","authors":"A. Nica, Mihai Trăscău, Alexandru Andrei Rotaru, C. Andreescu, Alexandru Sorici, A. Florea, Vlad Bacue","doi":"10.1109/CSCS.2019.00041","DOIUrl":"https://doi.org/10.1109/CSCS.2019.00041","url":null,"abstract":"Although there is a diversity of publicly available datasets for autonomous driving, from small-scale to larger collections with thousands of miles of driving, we consider that the process of collecting and processing them is often overlooked in the literature. From a data-driven perspective, quality of a dataset has proven as important as quantity especially when evaluating self-driving technologies where safety is crucial. In this paper, we provide a guideline going through all the steps from configuring the hardware setup to obtaining a clean dataset. We describe the data collection scenario design, the hardware and software employed in the process, the challenges that must be considered, data filtering and validation stage. This work stems from our experience in collecting the UPB campus driving dataset released together with this work. It is our belief that having a clean and efficient process of collecting a small but meaningful dataset has the potential to improve benchmarking autonomous driving solutions, capturing local environment particularities.","PeriodicalId":352411,"journal":{"name":"2019 22nd International Conference on Control Systems and Computer Science (CSCS)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126597814","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: 6

DEW: A New Edge Computing Component for Distributed Dynamic Networks 分布式动态网络的一种新的边缘计算组件

2019 22nd International Conference on Control Systems and Computer Science (CSCS) Pub Date : 2019-05-01 DOI: 10.1109/CSCS.2019.00100

Giorgiana Cristescu, R. Dobrescu, Oana Chenaru, G. Florea

引用次数: 11

Nonlinear Identification and Controller Design for the Air Levitation System 空气悬浮系统的非线性辨识与控制器设计

2019 22nd International Conference on Control Systems and Computer Science (CSCS) Pub Date : 2019-05-01 DOI: 10.1109/CSCS.2019.00011

M. Schaefer, Daniel Escobar, H. Roth

引用次数: 1

Detection of Suspicious Connections on Android Mobile Devices Android移动设备的可疑连接检测

2019 22nd International Conference on Control Systems and Computer Science (CSCS) Pub Date : 2019-05-01 DOI: 10.1109/CSCS.2019.00058

Dragos Costea, N. Tapus

引用次数: 0

Size Adaptation of Separable Dictionary Learning with Information-Theoretic Criteria 基于信息论标准的可分离词典学习的大小自适应

2019 22nd International Conference on Control Systems and Computer Science (CSCS) Pub Date : 2019-05-01 DOI: 10.1109/CSCS.2019.00009

Andra Baltoiu, B. Dumitrescu

引用次数: 0